train_for_student.json

{
    "001": {
        "Title": "Activated carbon derived from bacterial cellulose and its use as catalyst support for ethanol conversion to ethylene",
        "Abstract": "\u00a9 2019 Elsevier B.V.Activated carbon derived from bacterial cellulose (BC-AC) was modified with various amounts of H3PO4(x wt% P/BC-AC) and used as a catalyst for the selective dehydration of ethanol to ethylene. The BC-AC obtained at a carbonization temperature of 500 \u00b0C had a mesoporous structure with surface area and total pore volume of ~1730 m2/g and 1.0 cm3/g, respectively. An increase in the H3PO4 loading from 5% to 40% increased the number of weak acid sites on the catalyst surface, which consequently enhanced ethanol conversion. At the reaction temperature of 400 \u00b0C, the modified BC-AC with 30-40 wt% H3PO4 loading (P/BC-AC) gave an ethanol conversion at 100% and an ethylene selectivity of 100%. A high selectivity for diethyl ether (DEE) at ~ 67% at ethanol conversion of ~ 50% was obtained at 200 \u00b0C. Stability tests with a time-on-stream of 12 h, at reaction temperatures of 200 and 400 \u00b0C, showed that the P/BC-AC catalyst had high thermal stability and stable catalytic activity. Therefore, P/BC-AC was found to be very effective as an inexpensive and environmentally friendly catalyst for ethylene production via ethanol dehydration.",
        "Classes": [
            "CHE",
            "MATENG"
        ]
    },
    "002": {
        "Title": "The algorithm of static hand gesture recognition using rule-based classification",
        "Abstract": "\u00a9 Springer International Publishing AG 2018.Technology becomes a part of human lives for decades, especially in human\u2014computer interaction (HCI) that considered as the important research area involving with an assistive technology and a medical system. Hand gesture is classified as an intuitive method for human to interact with the computer. It is useful for elderly people who cannot express their feelings by words. This paper proposed the hand gesture recognition technique for the elderly by using contour detection with convex hull feature extraction and rule-based classification. Vision-based hand gesture recognition is considered in classifying six hand gestures as lingual description. From the experimental results, the hand gesture system provides good detection and classification results for all the six static hand gestures.",
        "Classes": [
            "CPE"
        ]
    },
    "003": {
        "Title": "Alternative Redundant Residue Number System Construction with Redundant Residue Representations",
        "Abstract": "\u00a9 2018 IEEE.Residue number system (RNS) is a number representation system that represents a large integer with several smaller integers. Due to its ability to perform addition and multiplication in parallel, RNS is widely used in signal processing, communication, and cryptography. To extend the ability of RNS, redundant residue number system (RRNS), which has abilities to detect and correct errors, is proposed to be used in fault tolerant applications. Currently, there are two major ways to construct RRNS from RNS. This paper proposes an alternative way to do the construction by using redundant residue representations. Our proposed RRNS can perform certain operations more efficiently, for example, backward conversion and error detection, and can also perform a complex RNS operation, namely, comparing the values between two RRNS representations. However, it would have more costs to perform addition and multiplication on our RRNS. We also compare our work to the two previous works, and discuss their advantages and drawbacks. Further investigations are required to improve the performance of the proposed RRNS.",
        "Classes": [
            "EE"
        ]
    },
    "004": {
        "Title": "Comparative study of wax inhibitor performance for pour-point reduction of oil from Sirikit Oilfield in Thailand",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.In petroleum industries, waxy crude oil is normally found in petroleum production. Wax formation and precipitation during pipeline transport of waxy crude oils can cause several challenges, including wax deposition and flow reduction which adversely impacts pipeline performance in oil and gas production. To overcome the wax deposition problem, the small amount of chemicals like wax inhibitors can provide an effective preventative measure. One of this mechanism is to reduce the pour point temperature. In this work, oil from Sirikit Oilfield in Thailand is selected for this study. The wax inhibitors are selected and studied the performance for pour-point reduction. These chemicals are Polyalkyl methacrylate (PAMA), Poly(maleic anhydride-alt-1-octadecane) (PMAO), Polyalkyl methacrylate-co-ethylene glycol (PAMAEG) and Copolymers of maleic anhydride (CPMA) with the concentration ranging from 100 to 1000 ppm. Also, n-pentane with the concentration of 5-20 % by weight is used as a solvent for wax inhibitors. The results from this study show that n-pentane can reduce the pour point to 39.41 % compared to the original oil. Furthermore, among the polymer group, PMAO can reduce the lowest pour point to 52.82 %. In addition, the mixed solvents of polymer with n-pentane can provide relatively less effect on pour-point reduction. The mixture of n-pentane with PMAO can lower the pour point to a certain level of 54.96 % compared to the original oil. This study can be applied to use in the real field to prevent wax deposition in the pipeline transportation for oil production.",
        "Classes": [
            "PE",
            "ME",
            "CHE"
        ]
    },
    "005": {
        "Title": "Undrained lower bound solutions for end bearing capacity of shallow circular piles in non-homogeneous and anisotropic clays",
        "Abstract": "\u00a9 2019 John Wiley & Sons, Ltd.The undrained bearing capacity of shallow circular piles in non-homogeneous and anisotropic clay is investigated by the lower bound (LB) finite element limit analysis (FELA) under two-dimensional (2D) axisymmetric condition using second-order cone programming, and the new solution of the problem is presented. Modified from the isotropic von Mises yield criterion, a cross-anisotropic undrained strength criterion of clays under the axisymmetric state of stress requiring three input shear strengths in triaxial compression, direct simple shear, and triaxial extension is employed in the 2D axisymmetric LB FELA. Parametric studies on the effects of pile embedment ratio, dimensionless strength gradient, anisotropic strength ratio, and pile roughness are investigated extensively, while the predicted failure mechanisms associated with these parameters are discussed and compared. Numerical results of undrained end bearing capacity of shallow circular piles are summarized in the form of design tables that are useful for design practice and represent a new contribution to the field of pile capacity considering the combined effects of undrained strength non-homogeneity and anisotropy.",
        "Classes": [
            "CE",
            "MATSCI"
        ]
    },
    "006": {
        "Title": "Words Diffusion an Analysis of across Facebook Pages in Thailand",
        "Abstract": "\u00a9 2018 IEEE.Facebook Pages in Thailand have become prominent and very well-known in online media, business, and news broadcasting. Facebook pages seem to have become importantly technological tools which can provide methods and frameworks for identifying trending words and analyzing their trends and flows. The results demonstrated that incorporating reaction factor when weighting importance of words found in messages posted in different period of time and domains can help identify flows of trendy words.",
        "Classes": [
            "CPE"
        ]
    },
    "007": {
        "Title": "Transformation of time Petri net into Promela",
        "Abstract": "\u00a9 2017 IEEE.This paper proposes a method of transformation of time Petri net into Promela in order to verify their behavioral properties of the timed systems. The concurrent systems, with time attributes on transactions, are typically written in time Petri net. For quantitative and qualitative analysis of their properties, these time Petri net would be transformed into Promela beforehand. We also propose the linear temporal formula to specify the correctness properties. The proposed transforming method copes with the representation of both Petri net structure and its dynamic behavior. The token flows in time Petri net are modelled into Promela code, hence the implicit dynamic behavior would be practically described in the model. The resulting Promela code is simulated and verified by SPIN tool and reveals that not only the time related behaviors would be evaluated, but also the qualitative properties, such as safety and liveness.",
        "Classes": [
            "CPE",
            "MATH"
        ]
    },
    "008": {
        "Title": "Annual Degradation Rate Analysis of Mono-Si Photovoltaics Systems in Thailand Using the Mixed Effects Method",
        "Abstract": "\u00a9 2013 IEEE.The annual degradation rate (DR) of photovoltaics (PV) system is a critical factor to evaluate the energy performance and the levelized cost of electricity (LCOE) during its operation lifetime. However, the DR of a particular system strongly depends on the technical configuration such as PV module and array, inverter configuration, and also the climatic conditions. Therefore, a real operation dataset of DR is necessary to PV engineer in order to estimate energy performance and the LCOE for a particular system. This article presents the annual DR for a group of PV systems in Bangkok, Thailand which share the same monocrystalline silicon (Mono-Si) solar cell and inverter brand, over a four-year period. Instead of using simple linear regression, we apply the linear mixed effects method to estimate the DR value, which is suitable to formula a time-series data. The annual DR was found about 2.7% per year, with the 95% confidence interval from 0.7% to 4.6% per year. Hence, the operation lifetime of PV system until it reaches 80% of their initial energy conversion performance is about 7 years, with the 95% confidence interval from 4 years to 28 years. The resulting DR is informative and useful for further study on PV system performance and cost of investment in tropical region. Furthermore, we are the first group in Thailand to estimate the DR of PV station at system scale based on the mixed effects method. Finally, our study has enriched the knowledge about the operation of Mono-Si PV station in real operation condition.",
        "Classes": [
            "PE",
            "EE",
            "CHE"
        ]
    },
    "009": {
        "Title": "Development of Low-Cost in-the-Ear EEG Prototype",
        "Abstract": "\u00a9 2018 IEEE.This study focused on building a low-cost wearable EEG device multiple hour usage. The device suitable for long period monitoring is in-the-ear EEG, which has desirable wearable characteristics. With electrode in an earbud, it is relatively simple to install and wear. The in-the-ear prototype in this study was built from earphone rubber as an earpiece and silver-adhesive fabric as electrodes. Raw materials cost 3 dollar per piece. The impedance measurement from in-the-ear EEG is comparable to those of commercial electrodes. Signal verifications were conducted by teeth clenching, ASSR, MMN, and correlation. The signal verification results show that there is a strong correlation between in-the-ear EEG and T7/T8 signals. (\u03b3-coefficient = 0.912)",
        "Classes": [
            "BME",
            "CPE",
            "IE"
        ]
    },
    "010": {
        "Title": "Model-based analysis of an integrated zinc-air flow Battery/Zinc Electrolyzer System",
        "Abstract": "\u00a9 2019 Lao-atiman, Bumroongsil, Arpornwichanop, Bumroongsakulsawat, Olaru and Kheawhom.This work aims at analyzing an integrated system of a zinc-air flow battery with a zinc electrolyzer for energy storage application. For efficient utilization of inherently intermittent renewable energy sources, safe and cost-effective energy storage systems are required. A zinc-air flow battery integrated with a zinc electrolyzer shows great promise as an electricity storage system due to its high specific energy density at low cost. A mathematical model of the system was developed. The model was implemented in MATLAB and validated against experimental results. The validation of the model was verified by the agreement between the simulation and experimental polarization characteristic. The behavior and performance of the system were then examined as a function of different operating parameters: the flow rate of the electrolyte, the initial concentration of potassium hydroxide (KOH) and the initial concentration of zincate ion. These parameters significantly affected the performance of the system. The influence of the hydrogen evolution reaction (HER) on the performance of the system was investigated and discussed as it significantly affected the coulombic efficiencies of both the zinc-air flow battery and the zinc electrolyzer. Optimal KOH concentration was found to be about 6-7 M. Whilst increased KOH concentration enhanced the discharge energy of the battery, it also increased HER of both the battery and the electrolyzer. However, higher initial concentration of zincate ion reduced HER and improved the coulombic efficiency of the system. Besides, a higher flow rate of electrolyte enhanced the performance of the system especially at a high charge/discharge current by maintaining the concentration of active species in the cell. Nevertheless, the battery suffered from a higher rate of HER at a high flow rate. It was noted that the model-based analysis provided better insight into the behavioral characteristics of the system leading to an improved design and operation of the integrated system of zinc-air flow battery with the zinc electrolyzer.",
        "Classes": [
            "PE",
            "METAL",
            "EE",
            "CPE",
            "CHE",
            "IE",
            "MATH"
        ]
    },
    "011": {
        "Title": "Investigation of infrastructure maintenance cost of intercity railway in Thailand",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.Infrastructure in the rail system requires considerable investment in construction and maintenance. In many countries, railway operators have been able to share the capacity of the railroad to achieve efficient infrastructure usage. For the development of Thailand's railway network system in the future, it is possible for separating management between infrastructure and the rolling stock operations. Therefore, it is necessary to know the costs and factors that affects the cost of infrastructure, including government budget subsidies, to be the basis for track utilization charges. In this study, the costs of infrastructure construction and maintenance on 5 route sections representing different traffic characteristics were studied by using records from 5 years. It was found that the maintenance cost of the telecommunication and signalling system ranges from 1.3 to 1.7 million baht per year per station. The average annual maintenance cost of the railway track was 280,000 to 310,000 baht per track per kilometre. The traffic density was found to be the main factor that influenced the maintenance cost.",
        "Classes": [
            "IE"
        ]
    },
    "012": {
        "Title": "Unknown Input Nonlinear Observer for a Soft Pneumatic Robotic Gripper Application",
        "Abstract": "\u00a9 2023 IEEE.Due to the complex dynamics of soft pneumatic robotic gripper system, it is difficult to accurately control its behavior and ensure stable grasping of objects. The unknown input nonlinear observer can be used to estimate the unknown input of the system, the gripper's deformation or position, and state parameters. The dynamic model of the soft pneumatic robotic gripper system has been developed. Then, the unknown inputs nonlinear observer has been defined and applied for the system. The demonstration of applying the technique is presented. Next, the simulation of the system and observer are implemented in MATLAB. The simulation results show that the unknown inputs nonlinear observer can be used to accurately estimate the unknown input of the system and state parameters. This estimated information can then be used to control the gripper's behavior and ensure stable grasping of objects.",
        "Classes": [
            "ME",
            "CPE",
            "MATH"
        ]
    },
    "013": {
        "Title": "Spark Framework for Real-Time Analytic of Multiple Heterogeneous Data Streams",
        "Abstract": "\u00a9 2019 IEEE.Real-time streaming applications with multiple heterogeneous data streams have become increasingly popular especially in IoT applications; however, many issues still exist, especially in deploying and maintaining these large amounts of data streams. Using Spark Structured Streaming, this paper introduces a Spark Streaming framework for multiple heterogeneous data streams which allows the deployment of multiple heterogeneous data stream processing in a single Spark application; reducing deployment difficulty, coding redundancy, monitoring difficulties, and solving the problem of inefficient job queueing in multi-stream applications.",
        "Classes": [
            "CPE"
        ]
    },
    "014": {
        "Title": "Experiment and Simulation on Heavy Oil Production with Steam Flooding in Heterogeneous Reservoir",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.Heavy oil has long been known as one of the main energy sources due to the huge amount of reserves. Heavy oil production depends on reservoir characteristics like permeability, reservoir pressure as well as oil viscosity. The difficulty to produce this oil is its high viscosity. The practical technology to produce this heavy oil is to use steam as steam-flooding method to reduce oil viscosity. However, the huge energy consumption in steam-flooding operation can impact the operating cost as well as a project life. Therefore, the objectives of this study are to measure the viscosity and correlate the results with temperature and to simulate the oil production by using STARS, a CMG program. Moreover, the effects of parameters like well distance, injection rate and permeability on the oil production are also investigated. The simulation results show that oil viscosity and permeability play significant roles in heavy oil production. Also, the higher oil recovery can be obtained by increasing the steam injection rate and shorten the well spacing. These conditions can be applied to use in the real field for heavy oil production. The major benefit of this practice is to reduce the steam consumption and fuel costs and increase more oil production thus extending the economic project life.",
        "Classes": [
            "ENV",
            "PE",
            "METAL",
            "ME"
        ]
    },
    "015": {
        "Title": "Rechargeable zinc-ion battery based on choline chloride-urea deep eutectic solvent",
        "Abstract": "\u00a9 The Author(s) 2019.Recently, because of their cost effectiveness, high safety and environmental friendliness, zinc-ion batteries (ZIBs) are receiving enormous attention. Until now, aqueous-based ZIBs have been the focus of attention. However, the issues regarding hydrogen evolution, and zinc electrode passivation as well as dendrite formation limit their practical application. In this work, a biocompatible, stable and low-cost choline chloride/ urea (ChCl/urea) deep eutectic solvent is reported as an alternative electrolyte for rechargeable ZIBs based on delta-type manganese oxide (\u03b4-MnO2) intercalation electrode. The behavior of the zinc electrode on stripping and deposition in ChCl/urea electrolyte was examined. Besides, the charge storage and charge-transfer characteristics of the battery was studied. The results showed that there was no sign of dendrite formation on the zinc electrode during long-term cycling. Consequently, the fabricated battery exhibited good electrochemical performance with the maximum specific capacity of 170 mAh/g and good cyclability. In addition, the system showed reversible plating/stripping of zinc (Zn) without dendrite formation and no passivation layer on the zinc electrode. Hence, the results confirmed the reversible intercalation of Zn from the deep eutectic solvent ChCl/urea into the \u03b4-MnO2 electrode. Overall, the proposed electrolyte shows good promise for Zn/\u03b4-MnO2 battery system.",
        "Classes": [
            "BME",
            "METAL",
            "EE",
            "CHE",
            "IE"
        ]
    },
    "016": {
        "Title": "Gelation Process and Physicochemical Properties of Thai Silk Fibroin Hydrogels Induced by Various Anionic Surfactants for Controlled Release of Curcumin",
        "Abstract": "\u00a9 2019 AOCSHydrogels based on Thai silk fibroin (SF) were prepared by the induction of various anionic surfactants including sodium octyl sulfate (SOS), sodium dodecyl sulfate (SDS), and sodium tetradecyl sulfate (STS), which have a similar chemical structure but different alkyl chain lengths and charges. The effects of anionic surfactant types and their concentrations on the gelation mechanism and time of SF were systematically investigated. We found that SDS and STS that have long alkyl chain lengths and high negative charges could accelerate the gelation of SF to occur within 14\u201342 min in a concentration-dependent manner. SOS that has a short alkyl chain length and low negative charge slowly induced SF to gel at around 113\u2013144 h. The mechanisms of SF gelation induced by these three anionic surfactants were supposed to be combination of hydrophobic and electrostatic interactions, as well as the self-transition of beta sheets. The SF + STS hydrogels were further employed to encapsulate curcumin for the controlled release application. The SF + 0.09% wt. STS hydrogel encapsulating curcumin showed a slow rate of degradation while sustained the release of curcumin. This hydrogel can be applied as a minimal invasive injectable hydrogel or as a hydrogel for topical treatment of diseases.",
        "Classes": [
            "BME",
            "CHE"
        ]
    },
    "017": {
        "Title": "Web-Based Teleoperation System for Enhanced Precision and Efficiency in Food Industry Applications",
        "Abstract": "\u00a9 2023 IEEE.This paper presents the development of a web application for teleoperation in the context of the food industry, leveraging a Flask python web framework for server, Socket.IO for real-time communication, MQTT for efficient data exchange, and Dropbox for secure data storage. The web application provides remote operation, real-time monitoring capabilities for a plant and data storing. The system consists of three main components: the main server, acting as a bridge between the web client and the plant's controller; the web client, offering a user-friendly interface and communicate with the main server; and the plant's controller, responsible for controlling the plant's operations and communication with main server. The system was successfully integrated with cutting of food items application featuring a Cartesian robot and a depth camera controlled by a Raspberry Pi 4. The web application enables users to initiate plant operations, visualize generated images, stream camera frames, and monitor the robot's position in real-time. Moreover, the system stores essential data such as point cloud arrays, 3D point cloud images, and object volumes in Dropbox. The system's advantages include Python implementation, web-based accessibility, seamless integration with the IoT ecosystem, adaptability to digital twin concepts, and efficient data storage. Overall, the teleoperating system significant benefits to the food industry, including enhanced precision, improved efficiency, seamless integration with the IoT ecosystem, and reliable data storage and analysis. By leveraging these advantages, food processing operations can achieve higher quality standards, increased productivity, and more informed decision-making, ultimately leading to improved customer satisfaction and business success.",
        "Classes": [
            "ENV",
            "CPE",
            "OPTIC",
            "AGRI",
            "IE"
        ]
    },
    "018": {
        "Title": "Inventive problem solving for automotive part defective reduction",
        "Abstract": "\u00a9 2018 Association for Computing Machinery.This paper aims for innovative solutions by using TRIZ to reduce four highest defective parts of a new automotive model which yields 85% of the supplier part's defective rates. DMAIC methodology of six sigma was applied to solve the problems. The team was established to reduce the defective rate to achieve production performance KPI. Define- the objective and scope were set through the 80:20 of Pareto chart which identified the main focused problem. Measure- the related precision and accuracy of component parts compare with specification, process capability of each component part of manufacturer which were lower than target were selected. Analysis- cause-and-effect diagram was conducted at each component to show possible causes of the problem, specify the factors that effected to process mean or process variation and summarized its root causes. FMEA was performed to confirm current process control of each factor and statistical hypothesis testing was used to prove the main factors that affect process inconsistency of each part. Improve- TRIZ was applied as the quick and accurate idea generating and excellence decision making from various alternative solutions to resolve technical contradiction. Pugh's matrix was adopted to improve the solutions and logically establish criteria to select the best efficient idea. Control- according to the above performed, the overall defectives was reduced from 387 PPM to 198 PPM or approximately 51.2% compared to the average of defectives in seven month ago.",
        "Classes": [
            "CPE",
            "IE",
            "MATSCI"
        ]
    },
    "019": {
        "Title": "Enhance Accuracy of Hierarchical Text Categorization Based on Deep Learning Network Using Embedding Strategies",
        "Abstract": "\u00a9 2018 IEEE.Hierarchical text categorization is a task that aims to assign predefined categories to text documents with hierarchical constraint. Recently, deep learning techniques has shown many success results in various fields, especially, in text categorization. In our previous work called Shared Hidden Layer Neural Network (SHL-NN), it has shown that sharing information between levels can improve a performance of the model. However, this work is based on a sequence of unsupervised word embedding vectors, so the performance should be limited. In this paper, we propose a supervised document embedding specifically designed for hierarchical text categorization based on Autoencoder, which is trained from both words and labels. To enhance the embedding vectors, the document embedding strategies are invented to utilize the class hierarchy information in the training process. To transfer the prediction result from the parent classes, the shared information technique has been improved to be more flexible and efficient. The experiment was conducted on three standard benchmarks: WIPO-C, WIPO-D and Wiki comparing to two baselines: SHL-NN and a top-down based SVM framework with TF-IDF inputs called 'HR-SVM.' The results show that the proposed model outperforms all baselines in terms of F1 macro.",
        "Classes": [
            "EE",
            "CPE",
            "EDU"
        ]
    },
    "020": {
        "Title": "Recommendation system for Thai household remedies using ontology",
        "Abstract": "\u00a9 2019 Turkiye Klinikleri Journal of Medical Sciences. All rights reserved.Selecting proper household remedies for such symptoms are an essential challenge for Thai citizens who may confront this situation in everyday life. Besides the diversity of available medicines in the retail market, a lack of reliable documentations in the Thai healthcare system also causes an inconvenience to Thai citizens. Most healthcare information was limited its accessibility to Thai citizens in the effortless way. The dispersion of data and services leads to the cost raising and the increased medical errors. This paper presents a skillful medicine recommendation system initiate from Thai Household Remedy (THR) and Monthly Index of Medical Specialties (MIMS) information. We devise a Household Remedies Ontology, a model which illustrates relationships between personal information, indications of illness (symptom), its related household remedies for medication. The model allows ontology inferences and knowledge discovery to aid in selecting the proper medications for the diagnosed symptoms. We correlate THR, MIMS, and patient's personal information with the purpose to determine the semantical relationships among symptoms, medicines, its dose, drug interaction, and taken indication. Generally, the medicine selected by symptoms and the dose personalized by each patient. As a result of the development, we evaluated the satisfactory performance of the presented system through the review of Thai citizens. The result shows that the Thai household remedy recommendation system is a useful approach to help Thai citizens reaching out the proper household remedies or medicines.",
        "Classes": [
            "BME",
            "CPE",
            "EDU"
        ]
    },
    "021": {
        "Title": "Performance analysis of machine learning techniques in intrusion detection",
        "Abstract": "\u00a9 2018 Association for Computing Machinery.This paper presents the performance analysis of machine learning techniques in intrusion detection. We analyze time to build (and to retrain) the models used by Intrusion Detection System. Machine Learning is a branch of computer science that allows computer to learn by themselves without programming sequence. These techniques can be applied to detect new threat that has never seen before. Due to the large volumes of security audit data as well as complex and dynamic properties of intrusion behaviors, optimizing the accuracy of IDS becomes an important open problem that is receiving attentions from the research community. However, the performance (time and space required) is usually ignored. Our study allows administrators work to make better decisions about how to select the proper hardware for intrusion detection in various environments. We proposed the models for estimating the time to build each model and the vector equation of the cut-off point is provided for determining the minimum number of CPU required for building Decision tree model and support vector machine model.",
        "Classes": [
            "CPE"
        ]
    },
    "022": {
        "Title": "Deep learning using risk-reward function for stock market prediction",
        "Abstract": "\u00a9 2018 Association for Computing Machinery.Many recent studies have attempted to apply a deep learning approach to build a model for stock market prediction. Most of these studies have concentrated on using prediction accuracy as a performance metric. Some of them have also performed trading simulations to evaluate financial performance. However, financial performance was not improved significantly because the loss function used in the training process focused primarily on prediction accuracy. In this paper, we propose a new framework to train a deep neural network for stock market prediction. A new loss function was developed by adding a risk-reward function, which is derived by the trading simulation results. A new scoring metric called Sharpe-F1 score, which is a combination of Sharpe ratio and F1 score is used for model selection. We employ the best prediction model from our previous work, which consists of Convolutional Neural Network (CNN) and Long Short-Term Memory Network (LSTM) architectures and takes event embedding vectors, historical prices and a set of technical indicators as inputs. The robustness of our framework is evaluated on two datasets by varying the key parameters used in the proposed framework. The results show that financial performance can be improved by adding a risk-reward function into the loss function used in the training process.",
        "Classes": [
            "BME",
            "EE",
            "CPE"
        ]
    },
    "023": {
        "Title": "Three-dimensional lower bound finite element limit analysis of an anisotropic undrained strength criterion using second-order cone programming",
        "Abstract": "\u00a9 2018 Elsevier LtdThis paper describes a formulation of second-order cone programming for three-dimensional lower bound finite element limit analysis considering a cross-anisotropic undrained strength criterion. A three-dimensional generalized yield criterion accounting for the cross-anisotropic undrained strength of clay is proposed and requires four input shear strengths in triaxial compression and extension, direct simple shear, and pressuremeter tests. The proposed formulation is verified through the predictions of various compressions of anisotropic soil blocks while the importance of undrained strength anisotropy is demonstrated by analyses of undrained bearing capacity of strip, circular and square footings on anisotropic clays.",
        "Classes": [
            "MATH",
            "MATSCI"
        ]
    },
    "024": {
        "Title": "Techno-economic analysis of hydrogen production from dehydrogenation and steam reforming of ethanol for carbon dioxide conversion to methanol",
        "Abstract": "\u00a9 2021 Hydrogen Energy Publications LLCDecreasing carbon dioxide (CO2) emission by converting to higher-valued product has become of interest. Hydrogen (H2) is an important feedstock required in thermochemical conversion of CO2 to chemicals such as methanol. The cost and availability of H2 affect the cost of CO2 conversion. This study is focused on the process simulation of H2 production from ethanol feedstock. Steam reforming of ethanol is compared with dehydrogenation of ethanol to H2 with valued products including ethyl acetate and acetaldehyde. Form this study, steam reforming of ethanol presents the lowest cost of H2 production at 1.58 USD/kg H2 while dehydrogenation of ethanol presents the cost at 3.24 and 1.97 USD/kg H2, respectively. Although presenting the lowest cost, steam reforming of ethanol provides a net positive CO2 emission in the overall CO2 conversion to methanol process. In contrast, ethanol dehydrogenation to H2 and byproducts, ethyl acetate and acetaldehyde, promotes a net negative CO2 emission of \u2212819.20 kg/ton methanol and \u22125.42 kg/ton methanol, respectively. The results present a decreasing CO2 emission with an increasing cost of H2 production.",
        "Classes": [
            "PE",
            "CHE",
            "IE"
        ]
    },
    "025": {
        "Title": "Scenarios of municipal solid waste management for mitigating greenhouse gas emission: A case study of supermarket in Bangkok, Thailand",
        "Abstract": "\u00a9 2018 Association for Computing Machinery.As a consequence of rapid urbanization and population growth, many cities have faces issues of waste management. Landfill approach is generally decided for handling most of municipal solid waste, resulting the impacts of environment especially land occupation and global warming. As commercial building plays an importance role not only for economic value but also for environmental aspects, a supermarket located in community mall was selected as a case study towards sustainable cities. This study was aimed to investigate the current MSW management system of supermarket in order to quantify its environmental performance and to propose suitable options for improving municipal solid waste management. The findings revealed that at the business-Asusual, 397 tCO2e was emitted annually from landfilling waste of a supermarket in Thailand. However, if waste management has improved by recycling plus bio-gasification approach, not only 374 tCO2e/year will not be emitted from landfilling, but 243 tCO2e/year also be reduced due to the activities in relevant to recycling and bio-gasification process. Moreover, applying such approach provides benefit in economic term about 18,321 USD a year. The results of this study could inspire another commercial buildings or others sector to adopting waste management practices together for creating a network of sustainable cities through suitable waste management system.",
        "Classes": [
            "CE",
            "ENV",
            "CHE"
        ]
    },
    "026": {
        "Title": "Integration of the biorefinery concept for the development of sustainable processes for pulp and paper industry",
        "Abstract": "\u00a9 2018This work aims at developing sustainable processes for pulp and paper industry by integration of the biorefinery concept to an existing pulp and paper process. A systematic methodology employing a superstructure-based process synthesis approach is employed with support from computer-aided tools to determine potential pathways for a long-term sustainable growth objective. A superstructure of the multi-product biorefinery process network for the pulp and paper industry is developed. It is divided into three sub-networks, a chemical pulping section, a biochemical production section and a black liquor utilization section. Superstructure optimization is performed with the objective to maximize profit to determine optimal integrated networks for three scenarios. The obtained results provide useful insights for further development of the optimal networks as sustainable integrated biorefinery combined with pulp and paper mills.",
        "Classes": [
            "CHE",
            "MATENG"
        ]
    },
    "027": {
        "Title": "Improvement of Relative Permeability and Wetting Condition of Sandstone by Low Salinity Waterflooding",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.Waterflooding is generally performed to maintain reservoir pressure and as a consequence, production period is extended. However, conventional waterflooding may be not suitable for every reservoir. Low Salinity Waterflooding (LSW) which is recently the most mentioned technique is therefore, considered. Although clear explanation of oil recovery mechanism is not available, it is believed that the key mechanism is Multi-component Ion Exchange (MIE). This study aims to assess improvement of relative permeability and wetting condition of sandstone formation from oilfield in Thailand, through the MIE mechanism. The study is divided into two major parts. The first part is laboratory study including core and fluid preparations, imbibition test, coreflooding test and ion-exchange detection. After laboratory data including fluid production rate and pressure difference versus time are obtained, core simulation using reservoir simulation program called STAR\u00ae commercialized by Computer Modelling Group (CMG) is performed to study the change of wetting condition through the shifting of relative permeability. Obtaining results would help verifying suitability of the implementation of this technique in oilfield. Results from imbibition test showed that LSW yields higher oil recovery factor compared to formation water. Diluted formation water at 5,000 ppm which is approximately one-third of formation water, is the best water formulation, yielding the fastest rate of imbibition in this study. From ion-exchange detection test, results showed the variation of divalent ion concentrations compared to injected water and moreover, presence of calcium and magnesium ions in oil phase supports the occurrence of MIE during the displacement mechanism. The theoretical model matching with physical data using reservoir simulation program indicates that LSW slightly affects the original wetting condition. Water wetness is lessened as can be observed from the increment of relative permeability to water at the end point saturation. Moreover, LSW reduces residual oil saturation and at the same time, increases relative permeability to oil. From the detection of MIE together with the observation of wetting condition through core simulation, it can be concluded that LSW is a promising technique for oilfield in Thailand. As produced water must be reinjected back into reservoir based on zero discharge regulation of Thai government, this low-cost technique of diluting water salinity prior to reinjection would fulfil the requirement of government and at the same time helps increasing oil recovery of the total field.",
        "Classes": [
            "PE",
            "METAL",
            "CHE"
        ]
    },
    "028": {
        "Title": "Classification of advertisement text on Facebook using synthetic minority over-sampling technique",
        "Abstract": "\u00a9 2018 Association for Computing Machinery.Understanding in consumer behavior is an important task in the field of marketing. Dentsu's AISAS model is a model that has been proposed to describe consumer behavior. The model defines reaction when the consumer has seen advertising into five stages: attention, interest, search, action, and share. In this paper, advertisement text datasets from Facebook were labelled as the stages of AISAS model and learned to be classified by machine learning algorithms. Nevertheless, like many other real-world data, our dataset had imbalanced class distribution. The classifier algorithms tend to predict mostly the majority class. To overcome this problem, synthetic minority over-sampling technique (SMOTE) was adopted and also combined with chi-square based feature selection technique. Varieties of feature sizes based on various classifier algorithms were compared. In the appropriate feature size, SMOTE could improve the classification performance in terms of recall and F1 score.",
        "Classes": [
            "CPE",
            "EDU",
            "MATSCI"
        ]
    },
    "029": {
        "Title": "Exploring Network Vulnerabilities for Corporate Security Operations",
        "Abstract": "\u00a9 Springer Nature Singapore Pte Ltd 2020.User credentials often serve as an entry point into an organization\u2019s network and its information assets. Well-managed identities mean greater control of user access, that would lead to a reduced risk of internal and external breaches. This paper has studied how to apply the Elastic stack for security monitoring and analytics. The Elastic stack, formerly known as ELK, is an open-source product well known as a powerful platform of log management and analytics solutions. Several preliminary experiments were carried out by means of log analysis procedure and malicious traffics monitoring to explore the vulnerabilities or weakness that will cause network failures or illegitimate access to information assets. The experimental results and findings would be beneficial as feedbacks for further establishing corporate policies and regulations, as well as implementing in-house preventive security operations.",
        "Classes": [
            "CPE"
        ]
    },
    "030": {
        "Title": "Effects of the cell and triangular microwell size on the cell-trapping efficacy and specificity",
        "Abstract": "\u00a9 2019, KSME & Springer.The single-, double- or multiple-cell entrapment efficacy is crucial in various aspects of biological studies. In this study, both computational and experimental approaches were conducted to explore the effect of the cell and microwell sizes on the ability of cell-trapping in a triangular microwell. From computational studies, it was found that the interaction between a spanwise vortex on the upper part and counter-rotating streamwise vortices at the leading edge helped to form a pair of secondary streamwise vortices deeper inside the microwell. The strength and size of these secondary streamwise vortices, which depended on the size of the microwell, played an important role in the arrangement of entrapped cells. The experimental results, with both microbeads and white blood cells (WBCs), were in good agreement with the simulated ones, and suggested that the ratio between the cell and microwell sizes was an important factor in the efficacy of single-, double- and multiple-cell cell-trapping. Entrapment of canine WBCs (size distribution between 7\u201315 \u00b5m) attained a highest single-cell trapping efficiency of 20.4 % in the array of 40-\u00b5m triangular microwells of 30 \u00b5m depth at a flow rate of 0.1 mL/h, but this was reduced to 16.5 and 10.6 % in the 60- and 80-\u00b5m microwells, respectively, under the same conditions.",
        "Classes": [
            "BME",
            "ME"
        ]
    },
    "031": {
        "Title": "Determination of appropriate size of battery as backup system in generation system",
        "Abstract": "\u00a9 2018 IEEENowadays, power systems of many countries have high renewable energy penetration because the renewable energy has less impact on environment issues. However, because of its unpredictability and uncontrollability, it may cause the power system less reliable and need more backup power. Using only responsive conventional power plants is difficult to manage this problem. Thus, the battery energy storage that has quick response receives high interest, recently. This paper proposes a methodology to determine an appropriate size of battery as a backup system in generation system. The appropriate size of battery is determined using generation system reliability concept. Reliability indices such as API and AEI are considered. They are calculated using Monte-Carlo simulation. Finally, the Thailand Regional power system is used as a test system. Obtained results show that each region required a different size of batteries depending on an amount of renewable energy generation and load in its region.",
        "Classes": [
            "PE",
            "EE",
            "CPE",
            "MATH"
        ]
    },
    "032": {
        "Title": "Comparative study of local gas-liquid hydrodynamics and mass transfer between conventional and modified airlift reactors",
        "Abstract": "\u00a9 2019 Elsevier Ltd. All rights reserved.Modified airlift reactor (MALR) was developed for improving the oxygen transfer coefficient (KLa) by installing the slanted baffles in the riser compartment. MALR can enhance KLa value up to 97% compared to a regular reactor. However, insufficient analysis of the hydrodynamics and other oxygen transfer parameters of this new reactor has been performed to date. Therefore, this paper aims to analyse local gas-liquid dynamics and evaluate the oxygen transfer performance in MALR compared to regular reactors using clean water as a liquid phase. Air bubble distribution was employed in terms of bubble diameter, rising velocity, and interfacial area. Slanted baffles maintained the bubble size between 3.88 and 4.63 mm for the studied superficial gas velocity (Ug), which is smaller than that in airlift reactor (ALR) by approximately 0.2 mm. Bubble rising velocity (UB) is relatively increased with Ug, regardless of reactor classes. New reactor could extend the bubble residence in the water by lengthening the bubble stream path of the slanted baffles leading to decrease UB values about 39% and 52% compared to bubble column reactor (BCR) and ALR, respectively. These performances consequently resulted in an interfacial area almost two times higher than in regular reactors. Oxygen transfer improved in MALR with an extra amount of oxygen transfer efficiency of 1.57% and 0.63% over BCR and ALR, respectively. This resulted in the highest aeration efficiency (AE) compared to other examined reactors, following a trendline expression of AE 0.046 Ug-0.6. Insertion of slanted baffles produced 5% and 12.8% more dead zone volume than ALR and BCR, respectively. In conclusion, MALR can significantly enhance oxygen transfer performance due to the ability to maintain bubble size and extend the gas-liquid transfer period.",
        "Classes": [
            "METAL",
            "ME",
            "CHE",
            "IE"
        ]
    },
    "033": {
        "Title": "Image Enhancement and Quality Assessment Methods in Turbid Water: A Review Article",
        "Abstract": "\u00a9 2019 IEEE.The underwater imaging systems are drawing attention during the past few decades as more and more applications such as ocean exploration, underwater vehicles, intelligent fishing are becoming popular. As a result, newer and superior techniques are in need to fulfill the demands of receiving clearer, finer and better-quality underwater images with improved information within it. In this paper, recent underwater image enhancement systems which are capable of improving quality of images that suffers from low light and unbalanced colors are revised. Moreover, a variety of objective assessment methods regarding to desired category of information evaluation are highlighted.",
        "Classes": [
            "OPTIC"
        ]
    },
    "034": {
        "Title": "Study on Raman spectroscopy of InSb nano-stripes grown on GaSb substrate by molecular beam epitaxy and their Raman peak shift with magnetic field",
        "Abstract": "\u00a9 2019 We report on the Raman spectroscopy of self-assembled InSb nano-stripes grown on (0 0 1) GaSb substrate by molecular beam epitaxy. The nano-stripes have a truncated pyramidal shape with the typical dimension of \u223c150 \u00d7 200 \u00d7 25 nm 3 . Raman spectroscopy is applied to probe the phonon-related properties of the InSb nano-stripes. Raman spectroscopy shows slight redshifts of the InSb-related phonon peaks when the excitation wavelength is increased. When a magnetic field is applied, blueshifts of these peaks are observed. Transmission electron microscopy is utilized to relate the structural information of the InSb nano-stripes and their Raman properties.",
        "Classes": [
            "EE",
            "OPTIC",
            "CHE",
            "MATSCI"
        ]
    },
    "035": {
        "Title": "Growth-related photoluminescence properties of InSb/GaAs self-assembled quantum dots grown on (001) Ge substrates",
        "Abstract": "\u00a9 2021 Elsevier B.V.Various photoluminescence (PL) spectroscopies are applied to reveal the growth-related properties of self-assembled InSb/GaAs quantum dots (QDs) grown on (001) Ge substrate. Obtained QDs have rectangular-based shape and mainly locate near GaAs antiphase domain boundaries (APBs), which are formed during the growth of GaAs on (001) Ge substrate. The morphology and structural properties of InSb QDs can be varied by the change of controlled growth conditions. Optical phonons scatterings of the embedded InSb QDs are revealed by Raman spectroscopy. The low-temperature PL emission energy of InSb/GaAs QDs is in the range of 1.18\u20131.29 eV. The power-dependent PL spectroscopy confirms the type-II band alignment in this system. The thermal activation energies (22.7 meV and 146.5 meV) are extracted from the temperature-dependent PL spectroscopy (10\u2013140 K). The polarization-dependent PL spectroscopy is performed and exhibits the polarization degree of ~ 18%, which is attributed to the shape anisotropy of buried InSb QDs.",
        "Classes": [
            "METAL",
            "ME",
            "EE",
            "OPTIC",
            "NANO",
            "CHE",
            "MATSCI"
        ]
    },
    "036": {
        "Title": "Implementation of microservice-based network traffic logger",
        "Abstract": "\u00a9 Proceedings of 2018 the 8th International Workshop on Computer Science and Engineering, WCSE 2018. All rights reserved.For the benefits of information security, data storage management is often performed under supervision of official regulations, such as ISO/IEC 27001. One of the topics addressing operations security specifies the requirements of logging and monitoring to record events and generate evidence. As the vast amount of traffic flowing over the internet continues to grow, this paper presents the implementation of network traffic logger using Microservices to promote scalability. It also enables isolated upgrades and new features without necessarily disrupting other services and the teams developing other services. With the assistance of the microservice architecture, the log management system would be more easily managed and scaled.",
        "Classes": [
            "CPE"
        ]
    },
    "037": {
        "Title": "Dynamic programming approach to optimal maintenance scheduling of substation equipment considering life cycle cost and reliability",
        "Abstract": "\u00a9 2018 IEEEAsset management of transmission system is an essential issue for smart grid and condition monitoring system, especially maintenance planning. Maintenance scheduling is the most important part of asset management. The scheduling affects the reliability of equipment, the reliability of substation system and life cycle cost (LCC). Since the equipment in substation hardly fails to operate, the information about failure is not yet systematically recorded. This paper focuses on long term maintenance based on available data of historical planning and operation data. In particular, the Weibull distribution model is used to estimate reliability function of equipment. A maintenance planning may lead to different final condition of effective age of equipment. We propose the optimal maintenance planning in conjunction with the specified final condition of equipment and compare the LCC and reliability. By using dynamic programming (DP), the algorithm gives the minimum LCC while satisfying reliability and final condition. Numerical results demonstrate the effectiveness of the DP approach. Comparing with the results using the genetic algorithm, the DP method provides the maintenance planning with less LCC.",
        "Classes": [
            "IE",
            "MATH"
        ]
    },
    "038": {
        "Title": "The efficient conversion of D-Fructose to 5-Hydroxymethylfurfural using organic acids as catalytic promoters",
        "Abstract": "\u00a9 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.5-Hydroxymethylfurfural (HMF) is one of the main chemical building blocks to generate other high value-added biofuels and biochemicals. This study aimed to produce HMF from fructose dehydration under a biphasic system using various organic acids as catalytic promoters, such as formic acid, acetic acid, lactic acid, succinic acid, and levulinic acid. Among these organic acids, the acetic acid was found to be the best promoter in this system. The experimental results showed a prominent correlation between the HMF formation and the pKa \u2013 the higher pKa gave rise to greater HMF yield and lower activity toward side reactions. Response surface methodology was performed to identify the optimum reaction temperature, time, and promoter concentration for fructose dehydration. Among the three variables, the reaction temperature played the most significant role in fructose conversion and HMF yield. The optimum condition to achieve the highest HMF yield at 72.5% from fructose dehydration was found at 195.8 \u00b0C under a mild concentration of acetic acid at 0.075 M for 3.2 min. Graphical abstract: [Figure not available: see fulltext.]",
        "Classes": [
            "CHE",
            "MATSCI"
        ]
    },
    "039": {
        "Title": "Biomass gasification integrated with CO2 capture processes for high-purity hydrogen production: Process performance and energy analysis",
        "Abstract": "\u00a9 2018 Elsevier LtdThe performance of an integrated biomass gasification and CO2 capture process to produce H2-rich gas satisfying a PEMFC specification is investigated. Wood residue and CaO are used as a biomass feedstock and a CO2 sorbent, respectively. Modeling of such an integrated process is performed by using ASPEN Plus. The effect of change in major parameters, i.e., gasifying temperature, carbonation temperature and CaO/C ratio, on the product gas composition is investigated. The H2 concentration of the product gas leaving the gasifier is found to increase as the gasifying temperature increases and reaches its maximum value when the gasifying temperature is higher than 700 \u00b0C. For the integrated process, the H2 concentration significantly decreases as the carbonation temperature increases to higher than 500 \u00b0C. Moreover, the result indicates that the CaO/C ratio should be maintained at a value higher than 3.17 to ensure that the generated CO2 is completely captured. The energetic and exergetic performances, as well as the environmental impact of the integrated process at various amounts of recycled CO2, are also investigated. The energy conversion efficiency and the exergy efficiency based on H2 production increase as the CO2/C ratio increases, whereas the CO2 emission shows the opposite trend. The maximum exergy efficiency of 69.65%, based on the hydrogen production and the heat generation, is achieved at CO2/C and CaO/C ratios of 0.6 and 4.48, respectively. At this condition, a specific emission of CO2 of 4.4 g CO2 - eqMJ- 1 and an energy conversion efficiency of 88.09% are achieved.",
        "Classes": [
            "ENV",
            "PE",
            "ME",
            "CHE"
        ]
    },
    "040": {
        "Title": "Preferential nucleation, guiding, and blocking of self-propelled droplets by dislocations",
        "Abstract": "\u00a9 2018 Author(s).Lattice-mismatched layers of GaAs/InGaAs are grown on GaAs(001) using molecular beam epitaxy and subsequently heated in vacuum while the surface is imaged in situ using low-energy electron microscopy, in order to study (i) the nucleation of group-III droplets formed as a result of noncongruent sublimation and (ii) the dynamics of these self-propelled droplets as they navigate the surface. It is found that the interfacial misfit dislocation network not only influences the nucleation sites of droplets, but also exerts unusual steering power over their subsequent motion. Atypical droplet flow patterns including 90\u00b0 and 180\u00b0 turns are found. The directions of these dislocations-guided droplets are qualitatively explained in terms of in-plane and out-of-plane stress fields associated with the buried dislocations and the driving forces due to chemical potential and stress gradients typical of Marangoni flow. The findings would benefit processes and devices that employ droplets as catalysts or active structures such as droplet epitaxy of quantum nanostructures, vapor-liquid-solid growth of nanowires, or the fabrication of self-integrated circuits.",
        "Classes": [
            "ME",
            "EE",
            "CHE",
            "MATSCI"
        ]
    },
    "041": {
        "Title": "Reliability analysis of unsaturated soil slope stability under infiltration considering hydraulic and shear strength parameters",
        "Abstract": "\u00a9 2019, Springer-Verlag GmbH Germany, part of Springer Nature.In general, soil properties, including shear strength and hydraulic parameters, are characterised as a spatial variability. This paper aims to investigate the effect of spatial variability of the soil properties on slope stability during rainfall infiltration. The effective friction angle, saturated hydraulic conductivity, and soil water characteristic curve parameters of sand are simulated using random field theory. A seepage analysis is conducted using the random finite element method to obtain pore water pressure distribution. A stability analysis is performed to show the variation of safety factors and failure probability. The results show that the random field of the soil-water characteristic curve produces a significant variation of pore water pressure, while the random field of the effective friction angle is the most important parameter for probabilistic stability analysis.",
        "Classes": [
            "CE",
            "ENV",
            "PE",
            "ME",
            "SAFETY",
            "MATSCI"
        ]
    },
    "042": {
        "Title": "Evaluation of Polymer Alternating Waterflooding in Multilayered Heterogeneous Waterflooded Reservoir",
        "Abstract": "\u00a9 The Authors, published by EDP Sciences, 2018.Polymer flooding is widely implemented to improve oil recovery since polymer can increase sweep efficiency and smoothen heterogeneous reservoir profile. However, polymer solution is somewhat difficult to be injected due to high viscosity and thus, water slug is recommended to be injected before and during polymer injection in order to increase an ease of injecting this viscous fluid into the wellbore. In this study, numerical simulation is performed to determine the most appropriate operating parameters to maximize oil recovery. The results show that pre-flushed water should be injected until water breakthrough while alternating water slug size should be as low as 5% of polymer slug size. Concentration for each polymer slugs should be kept constant and recommended number of alternative cycles is 2. Combining these operating parameters altogether contributes to oil recovery of 53.69% whereas single-slug polymer flooding provides only 53.04% which is equivalent to 8,000 STB of oil gain.",
        "Classes": [
            "ENV",
            "PE",
            "ME"
        ]
    },
    "043": {
        "Title": "Real-Time Rollover Warning in Tripped and Un-tripped Rollovers with A Neural Network",
        "Abstract": "\u00a9 2018 IEEE.Nearly 35% of passenger vehicle accident deaths are from rollover crashes. In vehicle stability control system, the active rollover prevention is presented to prevent rollovers. An imminent rollover should be detected immediately through accurate and reliable detection for active vehicle rollover prevention. A traditional rollover index is able to detect un-tripped rollovers. However, it fails to detect tripped rollovers from external inputs such as tripping by the force of a vehicle striking a curb or a road bump. Thus, a new neural network algorithm to detect both tripped and un-tripped rollovers is needed so any estimation algorithms to determine unknown parameters will no longer be used. The neural network algorithm uses multi-variables from available sensors on the vehicle to calculate and categorize the rollover warning into 3 levels: 'Safe', 'Low Risk', and 'High Risk'. Moreover, the algorithm can detect both tripped and un-tripped rollover by testing with a 1/5th scaled vehicle. In order to show dynamic similarity between the 1/5th scale vehicle and a full-sized vehicle, the Buckingham \u03c0 theorem is used. From experiment results, it is clear that the neural network algorithm can be used to accurately enable the rollover warning for the tripped and un-tripped rollover.",
        "Classes": [
            "SAFETY"
        ]
    },
    "044": {
        "Title": "Design of Robust Hierarchical Control for Homogeneous Multi-Agent Systems with Parametric Uncertainty and Exogenous Disturbance",
        "Abstract": "\u00a9 2019 JSME.This paper proposes robust control synthesis for homogeneous leaderless multi-agent systems (MASs) subjected to parametric uncertainty and exogenous disturbance. We employ an approach of robust H2 hierarchical decentralized control. This approach utilizes a linear quadratic performance criterion which composes of local and global terms. Local term represents local control action of agents whereas the global term deals with cooperation among agents. We formulate design of the local and global feedback control laws as optimization over linear matrix inequality (LMI). Furthermore, the LMI formulation can incorporate a specified constraint on disturbance attenuation. Finally, a design procedure and numerical examples are provided to illustrate the effectiveness of the proposed robust H2 design approach.",
        "Classes": [
            "CPE",
            "MATH"
        ]
    },
    "045": {
        "Title": "Development and characterization of bacterial cellulose reinforced with natural rubber",
        "Abstract": "\u00a9 2019 by the authors.Films of bacterial cellulose (BC) reinforced by natural rubber (NR) with remarkably high mechanical strength were developed by combining the prominent mechanical properties of multilayer BC nanofibrous structural networks and the high elastic hydrocarbon polymer of NR. BC pellicle was immersed in a diluted NR latex (NRL) suspension in the presence of ethanol aqueous solution. Effects of NRL concentrations (0.5%-10% dry rubber content, DRC) and immersion temperatures (30-70 \u00b0C) on the film characteristics were studied. It was revealed that the combination of nanocellulose fibrous networks and NR polymer provided a synergistic effect on the mechanical properties of NR-BC films. In comparison with BC films, the tensile strength and elongation at break of the NR-BC films were considerably improved ~4-fold. The NR-BC films also exhibited improved water resistance over that of BC films and possessed a high resistance to non-polar solvents such as toluene. NR-BC films were biodegradable and could be degraded completely within 5-6 weeks in soil.",
        "Classes": [
            "CHE",
            "MATENG",
            "MATSCI"
        ]
    },
    "046": {
        "Title": "Enhanced Levulinic Acid Production from Cellulose by Combined Br\u00f8nsted Hydrothermal Carbon and Lewis Acid Catalysts",
        "Abstract": "\u00a9 2019 American Chemical Society. This study presents a synergistic catalytic system using the combination of Br\u00f8nsted hydrothermal carbon-based acid (HTCG-SO 3 H) and Lewis acid catalysts for one-pot conversion of cellulose to levulinic acid (LA). Chromium chloride (CrCl 3 ), among a number of other Lewis acidic metal chlorides, was found to give the highest LA yields, and was therefore used in combination with the HTCG-SO 3 H, for cellulose conversion to LA. With the appropriate amount of HTCG-SO 3 H, the formation of side products could be reduced, resulting in improved selectivity of LA. Compared with that obtained by CrCl 3 alone, at 5 wt % HTCG-SO 3 H, 0.015 M CrCl 3 , 200 \u00b0C and 5 min reaction time, the LA yield was considerably enhanced from 30 wt % to 40 wt %. Since HTCG-SO 3 H is a heterogeneous catalyst that can be easily prepared from biomass at moderate temperature, its use in such combined catalyst system offers economic and environmental benefits, thus making large-scale implementation of such process potentially feasible.",
        "Classes": [
            "CHE",
            "MATENG"
        ]
    },
    "047": {
        "Title": "The production of volatile fatty acids from Napier grass via an anaerobic leach bed process: The influence of leachate dilution, inoculum, recirculation, and buffering agent addition",
        "Abstract": "\u00a9 2019 The Authors.The production of volatile fatty acid (VFA)-rich leachate as feedstock for methane production is an essential and rate-limiting step in two-stage grass biogasification. Batch experiments were conducted to investigate the influence of leachate dilution, inoculum, recirculation, and buffering agent addition on the acidification of Napier grass in anaerobic leach bed reactors (AnLBRs). Four AnLBRs with 14.17 L effective volume were operated at ambient temperature for 28 days in each experiment. The results clearly demonstrate the significance of the control parameters, particularly leachate dilution and inoculum, in the regulation of grass solubilization. Different dilutions of leachate produced different grass degradation rates. These different dilutions generated 95.62-112.63 g of soluble chemical oxygen demand (SCOD) or 0.52-0.62 g SCOD/g VSadded for those diluted at 1.0-7.0-day intervals compared to 51.50 g SCOD or 0.28 g SCOD/g VSadded for those without dilution. Adding inoculums of 10-30% increased the SCOD to 67.01-115.65 g SCOD or 0.40-0.59 g SCOD/g VSadded. While leachate recirculation and the addition of a buffering agent had less influence on solubilization, which increased by only 6.80-16.41% of SCOD produced. These produced leachates contained orderly acetic, propionic, and butyric acids. The proposed conditions (20% of added inoculum and leachate dilution at a 3.0-day interval), yielded practical degrees of solubilization and acidification of 46.61% and 62.21%, respectively, or 0.56 g SCOD/g VSadded and 0.26 g VFA/g VSadded. These results demonstrate that beneficial control conditions can promote the rapid and practical production of VFAs from grass biomass via an AnLBR.",
        "Classes": [
            "CHE",
            "AGRI"
        ]
    },
    "048": {
        "Title": "Visible Light communication - The Journey so Far",
        "Abstract": "\u00a9 2019 Walter de Gruyter GmbH, Berlin/Boston 2019.An unprecedented demand for connecting physical objects with the internet expedites the realization of internet of things, thus creating new challenges to explore new spectrums which are suitable for communication. Visible light communication (VLc) is one promising candidate not only to remove the spectrum crunch issues but also to offer virtually unlimited, unregulated spectrum. This paper discusses how VLc can help solving spectrum crunch, non-availability issues of radio frequency spectrum and how readily available spectrum of VLc can be utilized to cope up with the bandwidth requirements of next-generation networks. Furthermore, this paper also lists the technological innovations in the area of VLc from early days till present and its possible applications in various domains.",
        "Classes": [
            "EE",
            "CPE",
            "OPTIC"
        ]
    },
    "049": {
        "Title": "Mechanisms of chloride and sulfate removal from municipal-solid-waste-incineration fly ash (MSWI FA): Effect of acid-base solutions",
        "Abstract": "\u00a9 2019A general approach to managing municipal solid waste is by incineration. Unfortunately, large amounts of municipal-solid-waste-incineration fly ash (MSWI FA) is produced in the process, with their heavy metals content posing further problems to the environment. One fundamental treatment of MSWI FA heavy metals is called solidification-stabilization, where MSWI FA is solidified in cement-based materials to cap hazardous elements from being released into the environment. Mortar formed from this cement mixed with MSWI FA suffer from decreased compressive strength due to their chloride and sulfate contents. Thus, pre-treatment of MSWI FA to remove these salts before producing mortar is desirable. This study investigated treating MSWI FA with deionized water, 0.01 M and 0.1 M nitric acid, and 0.1 M and 0.25 M sodium carbonate to remove chloride and sulfate. Physical and chemical structures of treated and untreated MSWI FA was studied to understand the chloride and sulfate removal mechanisms. Treated MSWI FA was used as cement replacement in mortar, and the compressive strength was tested. Results suggest that all of the treatment solutions tested in this study can equally remove chloride (around 250,000 mg/kg), but sodium carbonate can remove sulfate at the highest extent (15,821 mg/kg). In addition, mortar with deionized-water-treated MSWI FA gave the highest compressive strength. Heavy metals leaching was tested by the Toxicity Characterization Leaching Procedure (TCLP) method, with results passing the standard.",
        "Classes": [
            "CE",
            "ENV",
            "METAL",
            "CHE"
        ]
    },
    "050": {
        "Title": "Impact of Oxygen Vacancy on the Photocatalytic Selective Hydrogenation of 3-Nitrostyrene via Calcination of TiO2",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.In this work, P25-TiO2 was treated by calcination in air at difference temperature (600-900\u00b0C) for 5h. Treated catalysts were tested in photocatalytic selective hydrogenation of 3-nitrostyrene (3-NS) to 3-vinylaniline (3-VA). The properties of treated catalysts were characterized by using XRD, XPS, and UV-Vis spectroscopy. 3-vinylaniline and acetone were produced from photocatalytic (\u03bb > 300nm) selective hydrogenation reaction of 3-nitrostyrene in 2-propanol and suspension with P25-TiO2. The Ti3+ at locate with oxygen defect, which at below conduction band were acted as active site for trapped electron to conduction band. These effects leading to excess oxygen defect caused low activity due to recombination center. An optimal calcination temperature was 700\u00b0C ascribed to the enhancement of high conversion (71%) with 100% 3-VA selectivity due to optimal oxygen vacancies.",
        "Classes": [
            "CHE",
            "MATSCI"
        ]
    },
    "051": {
        "Title": "Disaster-Resilient Communication Framework for Heterogeneous Vehicular Networks",
        "Abstract": "\u00a9 2019 IEEE.Most of natural disaster events have caused damage to the basic infrastructure. This leads to impossibility for victims and rescuers to communicate through the Internet. Wireless Mesh Networks (WMNs) and Moveable and Deployable Resource Unit (MDRU) are two popular solutions for recovery of the communication system. Based on the concept of wireless mesh network, the NerveNet is a disaster-resilient mesh-topology network which is strong against failures in disaster. Moreover, vehicles are considered as a key component in which MDRU can be deployed. In this paper, we propose a disaster-resilient communication framework for heterogeneous vehicular network (HetVNet). The proposed framework integrates NerveNet with the traditional network. We also show our implementation of the network switching algorithm for selecting either NerveNet or LTE for the HetVNet. The real experiments were conducted using the campus shuttle buses in Chulalongkorn University. The results show that the proposed framework can operate well in normal scenario, HetVNet scenario, and disaster scenario. Specifically, in the disaster situation where LTE network is not available, all of the data traffic is transferred via NerveNet. In the normal situation where NerveNet and LTE networks are available, the data traffic can be transferred over both of them.",
        "Classes": [
            "EE",
            "CPE"
        ]
    },
    "052": {
        "Title": "The experimental investigations on viscosity, surface tension, interfacial tension and solubility of the binary and ternary systems for tributyl phosphate (TBP) extractant in various organic solvents with water: Thermodynamic NRTL model and molecular interaction approach",
        "Abstract": "\u00a9 2017 Elsevier B.V.In order to provide a database for supporting stability in the separation processes, the physical properties of the mixing solutions between extractant and organic solvents, with/without water, were investigated at temperature 303.2 K and pressure 0.1 MPa. The extractant of tributyl phosphate (TBP) as well as the following organic solvents i.e. cyclohexane, n-heptane, kerosene and toluene were selected for use in this work. Further, the physical properties of the mixing solutions such as viscosity, surface tension, interfacial tension and solubility with water were observed when the percent weights of the extractant increased. The principle of intermolecular attraction between the molecules in the mixing solutions was considered in order to explain the tendencies of results. Tie-line data were determined for ascertaining the solubility of extractant in the organic and aqueous phases. A thermodynamic NRTL model was also evaluated and its data compared with the experimental results. Consequently, good correlations were displayed by the root-mean square deviation (rmsd) at values about 2%. Finally, for understanding the solvation of solute and solvent, the molecular interaction behaviors of the molecules in the mixing solutions were examined by spectroscopic analyses.",
        "Classes": [
            "CHE",
            "MATSCI"
        ]
    },
    "053": {
        "Title": "Strength and stiffness parameters of Bangkok clays for finite element analysis",
        "Abstract": "\u00a9 2018 Southeast Asian Geotechnical Society. All Rights Reserved.Constitutive soil model and its parameters are the important issue in finite element analysis. Hardening soil model and Mohr-Coulomb model parameters of Bangkok clays for finite element analysis were evaluated in this study. To achieve this purpose, a case study of Sukhumvit MRT Station was selected to model in three dimensions with hardening soil and Mohr-Coulomb models. The instrumented data during construction was used to compare with the results from finite element analysis. PLAXIS 3D software was adopted as solving tool in this study. Lateral wall movement and ground surface settlement predictions were used to compare with the data. The outcomes were concluded that the hardening soil model characterised the Bangkok clay better than Mohr-Coulomb model in 3D finite element analysis for excavation.",
        "Classes": [
            "PE",
            "METAL",
            "MATH"
        ]
    },
    "054": {
        "Title": "Thai defamatory text classification on social media",
        "Abstract": "\u00a9 2018 IEEE.Development of social media has brought a huge change to social communities in several aspects. They offer a place where social media users can post information, express opinions, and share interests. However, some information and opinions may cause a negative impact on the person mentioned in the post and that person can become a target of defamation. In Thailand, although defaming someone on social media is illegal, most social media users are not aware of it. To raise awareness of this issue, this paper proposes the classification of defamatory text in Thai language. Several approaches to text classification are used to analyze textual comments to political news and articles on Facebook, including word n-grams, character ngrams, specific terms, grammatical dependency structure, and sentiment polarity. The experiment is conducted using two machine learning methods with several combination of the approaches. The result shows that SVM performed better than Na\u00efve Bayes, and word n-grams and character n-grams are more efficient than other approaches with F score of 0.64 and accuracy of 0.74. In addition, dependency structure, specific terms, and sentiment polarity perform quite well with precision of 0.65 and accuracy of 0.66, but with lower recall rate of 0.35. We discuss linguistic variations in Thai language which affect the performance of the methods.",
        "Classes": [
            "EE",
            "CPE",
            "EDU"
        ]
    },
    "055": {
        "Title": "Multi-objective optimization of sorption enhanced steam biomass gasification with solid oxide fuel cell",
        "Abstract": "\u00a9 2018 Elsevier LtdBiomass is one of the encouraging renewable energy sources to mitigate uncertainties in the future energy supply and to address the climate change caused by the increased CO2 emissions. Conventionally, thermal energy is produced from biomass via combustion process with low thermodynamic efficiency. Conversely, gasification of biomass integrated with innovative power generation technologies, such as Solid Oxide Fuel Cell (SOFC), offers much higher conversion efficiency. Typically, energy conversion process has multiple conflicting performance criteria, such as capital and operating costs, annual profit, thermodynamic performance and environment impact. Multi-objective Optimization (MOO) methods are used to found the optimal compromise in the objective function space, and also to acquire the corresponding optimal values of decision variables. This work investigates integration and optimization of a Sorption Enhanced Steam Biomass Gasification (SEG) with a SOFC and Gas Turbine (GT) system for the production of power and heat from Eucalyptus wood chips. The energy system model is firstly developed in Aspen Plus simulator, which has five main units: (1) SEG coupled with calcium looping for hydrogen-rich gas production, (2) hot gas cleaning and steam reforming, (3) SOFC-GT for converting hydrogen into electricity, (4) catalytic burning and CO2 compression, and (5) cement production from the purge CaO stream of SEG unit. Then, the design and operating variables of the conversion system are optimized for annual profit, annualized total capital cost, operating cost and exergy efficiency, using MOO. Finally, for the implementation purpose, two selection methods and parametric uncertainty analysis are performed to identify good solutions from the Pareto-optimal front.",
        "Classes": [
            "CE",
            "ENV",
            "PE",
            "ME",
            "EE",
            "CPE",
            "CHE",
            "MATENG",
            "IE",
            "MATH"
        ]
    },
    "056": {
        "Title": "Application of minimum quantity lubrication for drum high clutch in turning process",
        "Abstract": "\u00a9 2019 Trans Tech Publications, Switzerland.The turning Process is the main processes used in automotive parts from more productivity, it requires the cutting velocity and feed rate high. And from those cutting, it causes high temperatures on cutting and a tool life of cutting tools decreased. Therefore using of cutting fluid (Coolant) is one of the commonly used methods to reduce temperatures that occur while cutting, reducing the wear of cutting tool and helps extend the tool life of the cutting tool. However, cutting fluid it's not always a good way, from the high cost and environmental problems issues. Using the MQL technique is one of the alternatives that using more nowadays to solve the above mentioned problems. This research proposed a MQL technique substitution of cutting fluid that using in the current process by applying in order to obtain the proper cutting condition for carbon steel material grade SAPH370 with the carbide cutting tool. The cutting conditions will acceptable from the minimum quantity of lubricant and the maximum of tool life of cutting tool under surface roughness (Ra) is less than 1.2 \u00b5m. The proper cutting condition determined at a feed rate of 0.10 mm/rev, a cutting speed of 300 m/min and a flow rate of 5ml/hr.",
        "Classes": [
            "ME",
            "CHE",
            "MATSCI"
        ]
    },
    "057": {
        "Title": "Twin InSb/GaAs quantum nano-stripes: Growth optimization and related properties",
        "Abstract": "\u00a9 2018 Elsevier B.V.Growth of InSb/GaAs quantum nanostructures on GaAs substrate by using molecular beam epitaxy with low growth temperature and slow growth rate typically results in a mixture of isolated and paired nano-stripe structures, which are termed as single and twin nano-stripes, respectively. In this work, we investigate the growth conditions to maximize the number ratio between twin and single nano-stripes. The highest percentage of the twin nano-stripes of up to 59% was achieved by optimizing the substrate temperature and the nano-stripe growth rate. Transmission electron microscopy reveals the substantial size and height reduction of the buried nano-stripes. We also observed the Raman shift and photon emission from our twin nano-stripes. These twin nano-stripes are promising for spintronics and quantum computing devices.",
        "Classes": [
            "CPE",
            "OPTIC",
            "CHE",
            "MATSCI"
        ]
    },
    "058": {
        "Title": "Probabilistic regular grammar inference algorithm using incremental technique",
        "Abstract": "\u00a9 Proceedings of 2018 the 8th International Workshop on Computer Science and Engineering, WCSE 2018. All rights reserved.Grammatical inference has been studied for a long time where grammar is illustrated by a collection of re-writing rules, together with their probabilities. We are interested in regular language model which can be recognized by a finite state machine. The most popular technique is an Alergia algorithm. The objective is to construct a probabilistic finite state machine using only positive examples together with their probabilities (or frequency). In this work, we introduce a probabilistic grammatical inference algorithm in order to construct a prefix tree. The algorithm starts by considering the shortest positive example. Two types of regular grammar rules (productions) are introduced. Our experimental results show that the probabilities obtained from our probabilistic finite state machine can be more accurate than the one obtained from the previous algorithm. We hope that our algorithm will be an alternative way for constructing a probabilistic finite state machine.",
        "Classes": [
            "CPE",
            "MATH"
        ]
    },
    "059": {
        "Title": "Nonlinear Analysis for Bending, Buckling and Post-buckling of Nano-Beams with Nonlocal and Surface Energy Effects",
        "Abstract": "\u00a9 2019 World Scientific Publishing Company.The modeling and analysis for mechanical response of nano-scale beams undergoing large displacements and rotations are presented. The beam element is modeled as a composite consisting of the bulk material and the surface material layer. Both Eringen nonlocal elasticity theory and Gurtin-Murdoch surface elasticity theory are adopted to formulate the moment-curvature relationship of the beam. In the formulation, the pre-existing residual stress within the bulk material, induced by the residual surface tension in the material layer, is also taken into account. The resulting moment-curvature relationship is then utilized together with Euler-Bernoulli beam theory and the elliptic integral technique to establish a set of exact algebraic equations governing the displacements and rotations at the ends of the beam. The linearized version of those equations is also established and used in the derivation of a closed-form solution of the buckling load of nano-beams under various end conditions. A discretization-free solution procedure based mainly upon Newton iterative scheme and a selected numerical quadrature is developed to solve a system of fully coupled nonlinear equations. It is demonstrated that the proposed technique yields highly accurate results comparable to the benchmark analytical solutions. In addition, the nonlocal and surface energy effects play a significant role on the predicted buckling load, post-buckling and bending responses of the nano-beam. In particular, the presence of those effects remarkably alters the overall stiffness of the beam and predicted solutions exhibit strong size-dependence when the characteristic length of the beam is comparable to the intrinsic length scale of the material surface.",
        "Classes": [
            "NANO",
            "MATH",
            "MATSCI"
        ]
    },
    "060": {
        "Title": "Evaluation of stability and viscosity measurement of emulsion from oil from production in northern oilfield in Thailand",
        "Abstract": "\u00a9 2018 Published under licence by IOP Publishing Ltd.Emulsion is normally present in oil due to the mixing occurring during oil recovery. The formation of emulsion can cause some problems in production and transportation. Viscosity and stability of emulsion play a key roles in oil transportation and separation to meet sales specification. Therefore, the aims of this research are to measure the viscosity of oil an emulsion and to evaluate the stability of emulsion of light oil from Fang oilfield in Thailand. The parameters of this study are temperature, shear rate and water cut ranging from 50 to 80 \u00b0C, 3.75 to 70 s-1 and 0 to 60%, respectively. These effects of parameters on viscosity and stability of emulsion are required for the design of the process and to increase oil production with various conditions. The results shows that viscosity decreases as temperature and shear rate increase. In contrast, viscosity becomes higher when water cut is lower. Furthermore, droplet sizes of water-in-oil emulsion at different conditions are investigated the stability of emulsion. The droplet sizes become smaller when high shear rate is applied and emulsion becomes more stable. Furthermore, correlations are developed to predict the viscosity and stability of the oil and emulsion from Thailand.",
        "Classes": [
            "PE",
            "ME",
            "CHE"
        ]
    },
    "061": {
        "Title": "Design of a CMOS Low-Power Limiting Amplifier with RSSI Integrated Circuit for Low-Frequency Wake-Up Receivers",
        "Abstract": "\u00a9 2018 IEEE.This paper presents the circuit level design of a CMOS low power limiting amplifier with received signal strength indicator (RSSI) for low frequency application. The design utilizes a five-stage cascade amplifier with PMOS double diode-connected load for the limiting amplifier and a successive detection log amp for the RSSI structure. DC feedback technique is employed to suppress the DC offset at the output. The proposed circuit is laid out in \\pmb{0.13 \\ \\mu}\\mathbf{m} CMOS technology, then extracted and simulated. It occupies a minimal active area of 0.0084 mm2and is able to operate within a frequency range of 17 kHz to 166 kHz with an RSSI error less than 2dB, while consumes only \\pmb{1.96\\mu}\\mathbf{A} current. It also achieves the -3dB input sensitivity of less than \\pmb{12\\mu}\\mathbf{V}-{\\mathbf{rms}} for a typical dynamic range of 81.7 dB, and a maximum settling time of \\pmb{236}\\ \\pmb{\\mu}\\mathbf{s}. Compared with best performer circuits, our design has the lowest power consumption while other performance aspects are comparable or better.",
        "Classes": [
            "ME",
            "EE"
        ]
    },
    "062": {
        "Title": "Effect of Silica and Alumina Ratio on Bed Agglomeration during Fluidized Bed Gasification of Rice Straw",
        "Abstract": "\u00a9 2018 IEEE.Bed agglomeration is one operational challenge during fluidized bed gasification when rice straw is used as raw materials. Rice straw contains high potassium and other components which may lower ash melting point causing bed agglomeration. This study focused on the effect of alumina and silica ratio of bed materials in fluidized bed gasifier. The ratio of alumina bed was 0, 0.25, 0.50, 0.75 and 1.0. The experiments were performed at 700, 800 and 900\u00b0C with equivalence ratio (ER) of 0.2. Rice straw size 425-850 \u03bcm was used as raw materials. The result showed that the high ratio of alumina deceased bed agglomeration at 700\u00b0C. However, similar alumina ratio increased bed agglomeration at 800 and 900\u00b0C. In addition, the effect of temperature on defluidization time was significant. As the operating temperature increased, the defluidization time decreased. Although the ratio of the bed material was different but the result of defluidization time show a similar trend. As a result, high operating temperature may not suitable for fluidized bed gasification with this particular biomass. The SEM/EDS analyzed showed that potassium, calcium and silicate are major element in a linkage between bed particles. As a result, 75% of alumina bed ratio at 700\u00b0C was sufficient to avoid bed agglomeration during fluidized bed gasification of rice straw. In conclusion, specific ratio of alumina and silica can prevent agglomeration in fluidized bed gasification of rice straw when operating temperature lower than apparent eutectic melting point of involved alkalis from rice straw. The result from this investigation may lead to options on mitigating the problem of bed agglomeration in fluidized bed gasifier of rice straw.",
        "Classes": [
            "CHE",
            "MATSCI"
        ]
    },
    "063": {
        "Title": "Electrochemical investigation of amino acids Parkia seeds using the composite electrode based on copper/carbon nanotube/nanodiamond",
        "Abstract": "\u00a9 2019 The Authors. Published by Elsevier Ltd.An electrochemical biosensor comprising copper, nano-diamond (ND) and carbon nanotube (CNT) has been fabricated to detect the amino acids of Parkia speciosa (PS) seeds. Parkia speciosa (stink bean), a Southeast Asian legume, is composed of medicinal chemicals which exhibit biological activities. The electro-catalytic activity of three electrodes Cu/CNT/ND, Zn/CNT/ND and NiO/CNT/ND was studied using 5 mM potassium ferrocyanide in 0.1 MKCl. The Zn/CNT/ND electrode exhibited irreversible reaction free oxidation with reduction peaks at -1 V, whereas, a pair redox peaks was observed for Cu/CNT/ND electrode. The immobilization of l-amino acid oxidase on the Cu/CNT/ND electrode was carried out to catalyze the amino acids detection. It was observed that the anodic and cathodic peak currents increased linearly with both the square root of the scan rate (\u03bd1/2) and scan rate (\u03bd) over the studied scan range of 0.01-0.1 V/s with high correlation coefficients and following both the adsorption and the diffusion-controlled mechanisms. The developed biosensor displayed a very good electro-catalytic activity toward the oxidation of the amino acid to release H2O2 and NH3 as a result of the reaction between the active sites and the Parkia speciosa component. This was also confirmed by a drop in the pH value from 6.8 to 6.5 and a change in the color of the solution from green to yellow (releasing H2S). The impedance results indicated an inductance behavior due to the co-formation of the hydrogen peroxide (H2O2) and the water via the adsorption on the electrode surface.",
        "Classes": [
            "BME",
            "METAL",
            "NANO",
            "CHE",
            "MATENG"
        ]
    },
    "064": {
        "Title": "Factors affecting the mechanical properties variation after annealing of cold rolled steel sheet",
        "Abstract": "\u00a9 The Authors, published by EDP Sciences, 2019.Cold rolled steel industry in type of batch annealing furnace, the mechanical properties of steel sheet have variation by each position. The parameters of annealing temperature and time were analysed to work out the source of mechanical properties variation. This experiment is using low-carbon steel sheet that were cold rolled at the same reduction ratio. Then annealed applying by different annealing temperature and soaking time in laboratory furnace. The mechanical properties which were examined. Yield strength, Tensile strength, %Elongation and Hardness. The result showed that (1) Increasing the annealing temperature could remarkably decrease the yield strength, tensile strength and hardness, whereas the %Elongation could be increased. (2) Increasing the soaking time could slightly effect on mechanical properties. (3) The annealing temperature of 650\u00b0C with soaking time of 2 hr should be applied to provide the mechanical properties close to target value (4) Grain size of the workpieces trended to be grown from the annealing temperature of 610\u00b0C.The experiment it can be concluded that annealing temperature and soaking time have significant effect on the mechanical properties variation in batch annealing.",
        "Classes": [
            "METAL",
            "MATSCI"
        ]
    },
    "065": {
        "Title": "Oxidative and non-oxidative dehydrogenation of ethanol to acetaldehyde over different VOx/SBA-15 catalysts",
        "Abstract": "\u00a9 2018 Elsevier Ltd. All rights reserved.In this present study, characteristics and catalytic properties of different VOx/SBA-15 catalysts for oxidative and non-oxidative dehydrogenation of ethanol to acetaldehyde were determined and well related. First, the SBA-15 supports were synthesized using the sol-gel (SG) and hydrothermal (HT) methods with Zr and La modification. Then, VOx species (2 wt% of V) were deposited on different SBA-15 supports. Among all catalysts, the V-Zr-La/SBA-15-HT showed the highest catalytic activity having 80% conversion of ethanol and acetaldehyde yield of ca. 38% at 400 \u00b0C in non-oxidative dehydrogenation, while 98% conversion of ethanol and acetaldehyde yield of ca. 40% were obtained for this catalyst at lower temperature (300 \u00b0C) in oxidative dehydrogenation. In fact, two of the most powerful techniques used to elucidate the nature of VOx species dispersed on Zr-La/SBA -15 supports were X-ray photoelectron spectroscopy (XPS), and CO2 temperature-programmed desorption. It is worth noting that isolated monomeric VOx species, particularly the V4+ species, as well as the amounts of weak basic sites essentially played important role in non-oxidative dehydrogenation and oxidative dehydrogenation of ethanol to acetaldehyde.",
        "Classes": [
            "CHE",
            "MATENG"
        ]
    },
    "066": {
        "Title": "Extractive text summarization using ontology and graph-based method",
        "Abstract": "\u00a9 2019 IEEE.In recent years, many people started to take care of the physical health. The biomedical article is the trendy issue at the moment leading to the huge amount of knowledge created rapidly. In this paper, we propose a new automatic extractive text summarization technique based on graph representation that makes use of the Unified Medical Language System (UMLS), an ontology knowledge from the National Library of Medicine (NLM). We combined the graph building rules with a distance function between text documents, called Word Mover\u2019s Distance. To prioritize the core sentences, we extracted the summary by using a popular graph-based method from Google, PageRank. We compared our results with other text summarization software using 400 biological review papers as a corpus randomly sampled from PubMed Central. Our approach outperformed the baseline comparators in terms of Recall-Oriented Understudy for Gisting Evaluation (ROUGE) scores.",
        "Classes": [
            "BME",
            "EDU"
        ]
    },
    "067": {
        "Title": "A concept of demand charge subsidy due to wheeling charge in distribution system",
        "Abstract": "\u00a9 2019 IEEE.Industrial estates in Thailand, which typically receive electricity supply from distribution systems, can directly get supplied from private power producers in the local area. With this, private power producers and transaction customers need to pay wheeling charge to the main electric utility. Therefore, the demand charge of the entire customers should be decreased due to an increase of sharing customers. This paper proposes a concept of demand charge subsidy calculation for existing distribution customers due to wheeling charge. Because of the simplicity of postage stamp method and the reflection of extent of use of power flow based MW-Mile method, these methods are focused in this paper. The results show that the proposed concept computes the different demand charge subsidy depending on wheeling charge calculation methodologies.",
        "Classes": [
            "EE"
        ]
    },
    "068": {
        "Title": "Predicting judicial decisions of criminal cases from Thai supreme court using bi-directional gru with attention mechanism",
        "Abstract": "\u00a9 2018 IEEE.Predicting court judgement has gained growing attention over the past years. Prior attempts used traditional prediction techniques based on Bag of words (BoW), where the order of words is discarded, resulting in low accuracy. In this paper, we propose a prediction model of criminal cases from Thai Supreme Court using End-To-End Deep Learning Neural Networks. Our model imitates a process of legal interpretation, whereby recurrent neural networks read the fact from an input case and compare them against relevant legal provisions with the attention mechanism. The model's output shows if a person is guilty of a crime according to the fact and laws. After the performance test, we find that our model could yield the higher F1 than traditional text classification techniques including Naive Bayes and SVM. In addition, we innovate the open dataset called 'Thai Supreme Court Cases (TSCC)' that was compiled from many decades of Thai Supreme Court criminal judgements. It features the text of fact expertly extracted from each judgement, textual provisions from Thai Criminal Code, and binary-format labels following the theoretical criminal law structure. This dataset is useful for achieving judgement predicting task together with emulating actual criminal case trial.",
        "Classes": [
            "EE",
            "EDU"
        ]
    },
    "069": {
        "Title": "The Feasibility Study on the Infrastructure of Swapping Battery Station for Electric Motorcycles in Thailand",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.Thailand is a country where people rely on personal vehicles, especially conventional motorcycles which are the main source of the air pollution crisis in the country due to their emissions are containing tons of toxic gas. Hence, the Thai government announces the national strategic plan to switch from conventional fuel vehicles to electric ones by 2035. Currently, The EVs main strategic encouragements focus on electric cars charging stations which pervasive distributed in Bangkok and vicinity provinces. Since electric motorcycles(EMs)require different battery charging methods. Therefore, to be the guideline the potential solutions of these issues, the objective of this study introduces the feasibility of the occurrence of swapping battery Infrastructure for EMs based on previously successful implementation cases from several countries and the conclusion of EMs activities' s movement from the EMs working group of Thai automotive industries association. This study proposes the entire ecosystem of electric motorcycles along with the main resources of swapping battery infrastructure for EMs. It is concluded that to accelerate the EMs adoption in Thailand, the government is the main trigger to stimuli the related affiliations.",
        "Classes": [
            "EE"
        ]
    },
    "070": {
        "Title": "Deep percolation characteristics via field soil moisture sensors - Case study in Phitsanulok, Thailand",
        "Abstract": "\u00a9 2019, Taiwan Water Conservancy.This study developed the field measurement of soil moisture via sensor system to investigate deep percolation characteristics in the Rice Water Use Experimental Lab of Royal Irrigation Department in Phitsanulok Province, Thailand. From soil moisture field monitored at four depths, Hydrus-1D was applied to simulate water movement with soil hydraulic parameter estimates using field data for calibration. To understand deep percolation characteristics, rainfall, irrigation water and evaporation (called effective infiltration) inputs were monitored and used to simulate the effect of the pronounced climatic gradient (precipitation) and soil depths variability on percolation fluxes and applied the calibrated model. The effective infiltration and percolation at 2m depth is applied to detect the deep percolation changes and are described in the wetting and drying stages of soil. The study found that the effect of evaporation makes different percolation characteristics at shallower (1 m) and deeper (2 m) of soil layers. The daily maximum deep percolation (at 2 m) is 4.43 cm/ day when the soil moisture is saturated at 39%. The average rate of percolation (at 2 m) in the study period is 0.52 cm/day from the total input of effective infiltration. The percolation rate increased in soil with higher effective infiltration rate, deeper water table, soil moisture value in the subsoil (between saturation and field capacity). The ratio of total deep percolation and effective infiltration is 0.19 and the total deep percolation is 0.42 of rainfall plus irrigation in the rainy season. This study provided the understandings of deep percolation characteristics, its percolation rate and overall water balance of deep percolation system by using Hydrus-1D model with calibrated data from soil moisture sensors in the field.",
        "Classes": [
            "ENV",
            "PE",
            "CHE",
            "AGRI"
        ]
    },
    "071": {
        "Title": "The nanoporous carbon derived from melamine based polybenzoxazine and NaCl templating",
        "Abstract": "\u00a9 2018 Trans Tech Publications, SwitzerlandNanoporous carbon was successfully prepared by using polybenzoxazine synthesized from bisphenol-A, melamine and formaldehyde as a precursor. The varied HCl amounts have been added into the pre-polymer solution as a catalyst for the ring-opening polymerization. The reaction was traced by FTIR and DSC. In addition, the degradation behavior was studied by TGA and the textural properties were characterized by SEM and surface area analysis (AS1-MP). The nanoporous carbon obtained showed the highest char yield up to 48%. The interconnected structure from the SEM images of the nanoporous carbon exhibited significantly high surface area of 632 m2/g, high total pore volume up to 1.78 cm2/g, small average pore diameter and narrow pore size distribution detected by AS1-MP. After the activation process, the surface area has been drastically improved leading to the increasing of surface area and total pore volume up to 1119 m2/g and 1.93 cm2/g, respectively. In order to further study on the enhancement of surface area, NaCl, a water soluble compound, has been used as a template. As a result, the surface area has been improved up to 1516 m2/g.",
        "Classes": [
            "CE",
            "CHE",
            "MATENG",
            "MATSCI"
        ]
    },
    "072": {
        "Title": "Environmental impact of irrigation to groundwater contamination and aquifer vulnerability from intensive agricultural practices in Thailand",
        "Abstract": "\u00a9 2020 22nd Congress of the International Association for Hydro-Environment Engineering and Research-Asia Pacific Division, IAHR-APD 2020: \"Creating Resilience to Water-Related Challenges\". All rights reserved.Irrigation has contributed significantly to poverty alleviation, food security, and improving the quality of life for rural populations. However, infiltration of irrigation water in excess of available root zone storage from agricultural lands with poorer water quality may carry both agricultural chemicals and naturally recharge to groundwater, rivers, and lakes. In recent years water security concerns have centered on groundwater depletion by withdrawals for irrigated agriculture and groundwater quality degradation both from natural and anthropogenic origin, and only limited attention has been paid to the more insidious (and more chronic) problems of progressive aquifer contamination of groundwater recharge by irrigation return flows, which is occurring in major intensive agricultural practices. Environmental vulnerability and risk assessment is a step towards identification, analysis, and classification of vulnerable and risk factors as well as its long-term implications, and thus reduction of the possibility of adverse consequences from irrigation, are the primary objective of this present study. A novel approach for environmental impact of irrigation to groundwater contamination and aquifer vulnerability assessment is initiated and applied by combining a novel aquifer vulnerability DRASTIC map with pollution severity and prioritization based in probability of occurrence of pollution using TOPSIS ranking method. 9% of the total study area is categorized as high risk level which needs intensive groundwater samples from domestic and monitoring wells at various depths (100 samples from <30 m deep, and 60 samples from >60 m deep) are collected and analyzed for nitrate (as NO3-), K. sulphate (as SO42-) and other water quality parameters. NO3- level in groundwater ranged from 0.18 to 151 mg/L. Consistent K and NO3- trends from municipal wells in the study area indicate that nitrate source is likely agricultural origin. Detection of high nitrate concentration in shallow groundwater suggests the direct association of major nitrate concentration in groundwater aquifer with potential surficial source on the ground.",
        "Classes": [
            "ENV",
            "CHE",
            "AGRI",
            "EDU",
            "SAFETY"
        ]
    },
    "073": {
        "Title": "Similar Cluster recommendation of Product Purchases by Pages liked Analysis",
        "Abstract": "\u00a9 2018 IEEE.In recent years, social network become more popular and influential on the online commerce. Many customers can find the detail of products and trends on the social network using it to make the decision whether to purchase the product or not. In addition, it is also commonly used to collect users' related data to predict their future actions. In this paper, we study the correlation of purchasing histories and the customer's interests on social network (Facebook) to predict the future interests of customers that would show through social network. In addition, we use the data to find more similar target group of customers who are also interested in the same category of product by text analysis with Facebook Pages Liked. We focus on the product categories aligned by the shopping online websites and find the customer cluster which is similar with the customer who purchased. The study results are beneficial to focus groups of customers for communication or suggestion about the products matching with the groups of customers who are interested in the same group of products and have high potential to buy them. This model can adept with many real-world businesses to identify the user's characteristics and find more similar group of customers who interest in the products by changing the user attribute to find the user's interest. In our study, we adapt this model with the prototype system to recommend the similar group of customers.",
        "Classes": [
            "EE",
            "CPE",
            "EDU"
        ]
    },
    "074": {
        "Title": "Porous ZnV2O4 Nanowire for Stable and High-Rate Lithium-Ion Battery Anodes",
        "Abstract": "\u00a9 2019 American Chemical Society.Porous ZnV2O4 nanowires (NWs) were successfully prepared by hydrothermal reaction followed by calcination. Despite the porous structure, these porous ZnV2O4 NWs are single crystal with {220} facets and a wire direction along the c-axis. On the basis of an electrochemical test, these porous ZnV2O4 NWs have better cycling stability and higher specific capacity (i.e., 460 mA h g-1 after 100 cycles and 149 mA h g-1 after 1000 cycles using 1 and 5 A g-1 current densities, respectively) compared to other morphologies (i.e., spherical and coral-like morphologies). As a ternary transition metal oxide, the produced porous ZnV2O4 NWs undergo phase transformation without compromising the resulting capacity. On the other hand, the CV curves at different scan rates indicate a pseudocapacitive electrochemical behavior of the porous ZnV2O4.",
        "Classes": [
            "METAL",
            "NANO",
            "MATSCI"
        ]
    },
    "075": {
        "Title": "Starbursts in and out of the star-formation main sequence",
        "Abstract": "\u00a9 ESO 2018.Aims. We use high-resolution continuum images obtained with the Atacama Large Millimeter Array (ALMA) to probe the surface density of star formation in z \u223c 2 galaxies and study the different physical properties between galaxies within and above the star-formation main sequence of galaxies. Methods. We use ALMA images at 870 \u00b5m with 0.2 arcsec resolution in order to resolve star formation in a sample of eight star-forming galaxies at z \u223c 2 selected among the most massive Herschel galaxies in the GOODS-South field. This sample is supplemented with eleven galaxies from the public data of the 1.3 mm survey of the Hubble Ultra-Deep Field, HUDF. We derive dust and gas masses for the galaxies, compute their depletion times and gas fractions, and study the relative distributions of rest-frame ultraviolet (UV) and far-infrared (FIR) light. Results. ALMA reveals systematically dense concentrations of dusty star formation close to the center of the stellar component of the galaxies. We identify two different starburst regimes: (i) the classical population of starbursts located above the SFR-M main sequence, with enhanced gas fractions and short depletion times and (ii) a sub-population of galaxies located within the scatter of the main sequence that experience compact star formation with depletion timescales typical of starbursts of \u223c150 Myr. In both starburst populations, the FIR and UV are distributed in distinct regions and dust-corrected star formation rates (SFRs) estimated using UV-optical-near-infrared data alone underestimate the total SFR. Starbursts hidden in the main sequence show instead the lowest gas fractions of our sample and could represent the last stage of star formation prior to passivization. Being Herschel-selected, these main sequence galaxies are located in the high-mass end of the main sequence, hence we do not know whether these \u201cstarbursts hidden in the main sequence\u201d also exist below 1011 M. Active galactic nuclei (AGNs) are found to be ubiquitous in these compact starbursts, suggesting that the triggering mechanism also feeds the central black hole or that the active nucleus triggers star formation.",
        "Classes": [
            "ENV",
            "EE"
        ]
    },
    "076": {
        "Title": "Reactive Magnetron Sputter Deposition of Copper on TiO2 Support for Photoreduction of CO2 to CH4",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.In this work, nanocrystalline Cu/TiO2 catalysts have been synthesized by using pulsed direct current (DC) reactive magnetron sputtering of Cu targets in an Ar atmosphere onto P25-TiO2 support. The oscillating bowl was used to make the uniform coating on the substrate. The Cu doping content was varied by adjusting the coating time. The thus-obtained catalysts were characterized by using the X-ray diffraction (XRD), UV-Vis spectroscopy, scanning electron microscopy (SEM), and energy dispersive X-ray spectroscopy (EDX). The photocatalytic activities of all catalysts were studied via the photocatalytic reduction of CO2 and H2O to CH4 under UV irradiation, and compared with the pure TiO2 support and conventional-impregnation-made Cu/TiO2. The results showed that the photocatalytic performance of sputtering-made Cu/TiO2 catalyst was much better than the pure TiO2 support. Therefore, reactive magnetron sputtering was a promising technique for deposition of metal onto the support and use as the catalytic process.",
        "Classes": [
            "NANO",
            "CHE",
            "MATENG"
        ]
    },
    "077": {
        "Title": "Influence of spatial variability of ground on seismic response analysis: a case study of Bangkok subsoils",
        "Abstract": "\u00a9 2019, Springer-Verlag GmbH Germany, part of Springer Nature.The objective of this study was to observe the spatial variation in the geological subsoil condition on the seismic ground response of Bangkok subsoils during the remote 6.8 Mw Tarlay earthquake in 2011 in Northern Thailand. A simulation of random locations was initially performed to define the studied locations. The dynamic parameters, such as the soil index properties, shear modulus, and shear wave velocity, were determined from the subsurface modeling of Bangkok subsoils. Next-generation attenuation analysis was performed to define the input ground motion at each investigated site. Non-linear one-dimensional site response analysis was performed to investigate the surface ground motion, amplification factor, and spectral acceleration during short (0.2 s) and long (1 s) time periods. In general, it is important to consider the ground spatial variation in any seismic ground response analysis. The results show that Bangkok subsoils could magnify the seismic wave during an earthquake. For example, in the 2011 Tarlay earthquake, the magnification varied from two- to four-fold. The results from this study can be used to define the microzonation of the ground motion characteristic of Bangkok subsoils, such as the peak ground acceleration and the spectral acceleration, at short and long periods.",
        "Classes": [
            "PE",
            "ME",
            "MATSCI"
        ]
    },
    "078": {
        "Title": "Synergistic effect of Thiourea and HCl on Palladium (II) recovery: An investigation on Chemical structures and thermodynamic stability via DFT",
        "Abstract": "\u00a9 2021 The Author(s)This work duly investigates the recovery of Pd (II) chlorocomplexes from industrial wastewater. Chemical structures and thermodynamic stabilities of the complex formed are evaluated via density functional theory (DFT). By applying synergistic solutions of thiourea mixed with hydrochloric acid (HCl), the stripping reaction of Pd (II) in the loaded Aliquat 336 occurs and Pd (II) chlorocomplexes coordinated thiourea ligands are formed, thus 80.19% of Pd (II) chlorocomplexes can be recovered. The aim of this study is to gain a better understanding of the stripping mechanisms and the structure of the complexes formed via the synergistic system. Such an understanding is still limited since little research has been conducted in this field. Owing to their molecular geometry, ligand coordination and donor groups play a vital role in the reactivity of palladium (II) complex. Quantum models have been developed to evaluate the chemical structure and thermodynamics stability of ((NH2)2CS\u00b7PdCl2) namely: (i) DFT with B3LYP/6-31g(d,p) and MP2/6-31g(d,p) basis set, (ii) MP2 with cc-pVTZ basis set and (iii) CCSD(T)/cc-pVTZ. Results demonstrate that the highest geometric stability exhibited is the structure of Pd-S bonding with 180\u00b0 Cl-Pd-Cl. The distance (r) and angle (a) of the selected geometrical parameters for (NH2)2CS\u00b7PdCl2 complex are reported. Additionally, FTIR and UV\u2013vis spectroscopies have been conducted to analyze the sampling solutions. Further, the calculated vibrational frequencies and experimental spectroscopic results show good agreement with the optimized geometry.",
        "Classes": [
            "ME",
            "CHE",
            "MATH",
            "MATSCI"
        ]
    },
    "079": {
        "Title": "Utilization of bottom ash for degraded soil improvement for sustainable technology",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.Bottom ash is one of the main products from coal combustion in coal-fired power plants. It has been applied in many applications such as landfill, cement industry or raw feed for clinker, concrete, etc. Furthermore, it can be used in agriculture to improve soil quality. However, the utilization rate of bottom ash in agriculture is still very low only 0.1% of bottom ash. The properties of bottom ash can adjust the pH in soil and provide some nutrients to improve soil quality. Moreover, the soil degradation is a major problem in agricultural countries. The soil degradation is the decline in soil quality due to the improper land use, agriculture with misuse or excess use of fertilizers and so on. In Thailand, the soil degradation is a serious problem in agriculture in the northern mountainous areas. The mainly causes of soil degradation are from human activities such as overuse of pesticide, herbicide, and fertilizer, deforestation, expansion of cultivated areas. Therefore, the objective of this research is to apply the bottom ash from Mae-Moh power plant to improve soil quality of degraded soil in Nan province, Thailand and to investigate the effects of amount of bottom ash from 0-30% by weight on some parameters such as pH, electrical conductivity (EC), bulk density and soil texture. From the result, it is clear that with higher amount of bottom ash, the quality of degraded soil has been improved especially pH and soil texture. The pH can increase from 5.664 up to 7.408. Soil texture can change from clay to loam or sandy loam. The bulk density of soil decreases at all rates of bottom ash which is favorable for plant growth. This research can be applied for soil amendment and is expected to improve the yield for plant growing. Furthermore, the practical combinations of 10% and 20% of bottom ash are considered to apply in the real field to evaluate the improvement on soil properties in the future.",
        "Classes": [
            "CE",
            "ENV",
            "PE",
            "CHE",
            "AGRI"
        ]
    },
    "080": {
        "Title": "Analysis of the equivalent dipole moment of red blood cell by using the boundary element method",
        "Abstract": "\u00a9 2019 Elsevier LtdEquivalent dipole moment of biological cells under electric field is an important parameter for various applications such as analysis and manipulation of cells in biomedical samples. The dipole moment depends on cell geometries as well as electrical parameters of media involved. Unfortunately, the analytical expression of equivalent dipole is available only for simple geometries. This work numerically studies the variation of the dipole moment of a red blood cell with cell geometries and electrical parameters. The cell is modelled as a sphere, an oblate spheroid or a biconcave disc. The authors apply the boundary element method to electric field calculation and use re-expansion formulae to compute the equivalent dipole moment of the cell. The numerical results agree well with the analytical one for the spherical model. The effects of cell geometries are clarified for two directions of the electric field, which are parallel or normal to the axis of symmetry of the cell. Using the biconcave disc model, we perform iterative calculation to estimate the intracellular conductivity and specific membrane capacitance of red blood cells from experimental results.",
        "Classes": [
            "BME",
            "EE",
            "CHE",
            "MATH"
        ]
    },
    "081": {
        "Title": "A fast tag identification anti-collision algorithm for RFID systems",
        "Abstract": "\u00a9 2019 John Wiley & Sons, Ltd.In this work, we propose a highly efficient binary tree-based anti-collision algorithm for radio frequency identification (RFID) tag identification. The proposed binary splitting modified dynamic tree (BS-MDT) algorithm employs a binary splitting tree to achieve accurate tag estimation and a modified dynamic tree algorithm for rapid tag identification. We mathematically evaluate the performance of the BS-MDT algorithm in terms of the system efficiency and the time system efficiency based on the ISO/IEC 18000-6 Type B standard. The derived mathematical model is validated using computer simulations. Numerical results show that the proposed BS-MDT algorithm can provide the system efficiency of 46% and time system efficiency of 74%, outperforming all other well-performed algorithms.",
        "Classes": [
            "EE",
            "IE",
            "SAFETY",
            "MATH"
        ]
    },
    "082": {
        "Title": "Effect of Water Content in Waste Cooking Oil on Biodiesel Production via Ester-transesterification in a Single Reactive Distillation",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.A single-column reactive distillation is employed to convert waste cooking oil to biodiesel via simultaneous esterification and transesterification reactions. The waste cooking oil contained 10 wt% of free fatty acid (FFA) and the contaminated water (2-8 wt%) was used as feedstocks for biodiesel production. Esterification was occurred in the upper of column to reduce FFA content to less than 1 wt% and to prevent the simultaneous saponification by base catalyst. Moreover, the contaminated water and by-product water (from esterification) together was removed in-situ as the distillate product. The reactive distillation has been optimally designed to have 16 stages consisting of 5 esterification, 9 transesterification stages and each stage for reboiler and condenser. The feed locations of oil and methanol were at the top of the column and at stage 6, respectively. The optimum methanol to oil ratio was 6:1 with reflux ratio 0.1 while the reboiler duty was in the range of 100-150 kW depended on the water content. This condition successfully converts 97 wt% of waste cooking oil to biodiesel with 96.5% purity.",
        "Classes": [
            "ENV",
            "PE",
            "CHE"
        ]
    },
    "083": {
        "Title": "Numerical investigation of Au-silane functionalised optical fibre sensor for volatile organic compounds biomarker (VOCs) detection",
        "Abstract": "\u00a9 2021 SPIE.A numerical modelling to theoretically investigate and analyse the characteristic of the surface functionalised optical fibre based sensor to detect volatile organic compounds (VOCs) biomarker is introduced in this paper. A 125-micron diameter of coreless silica fibre (CSF) connected to single-mode fibre (SMF) at both ends to achieve a structure of SMF-CSF-SMG is proposed to detect VOCs biomarkers for diabetes such as acetone and isopropanol. The coreless fibre region is considered to be a sensing region where the multimode interference (MMI) occurs having a higher light interaction at the interface between the fibre and sensing medium which leads to the enhancement of sensitivity. The sensing region undergoes surface functionalisation with Au-silane for the sensor to be selectively detect VOCs biomarker with electrostatic absorption. The length of the sensing region is numerically optimised to achieve a reimaging distance where the highest possible of coupling efficiency occurs and the maximum output signal can be obtained. Coupling efficiency spectra at different volume fractions of gold nanoparticles with various acetone and isopropanol concentrations are also presented. A sensitivity of the Au-silane functionalised optical fibre sensor is achieved by using the analysis of wavelength shift interrogation. The results show the spectra undergoes red-shift phenomenon in the near-infrared region (NIR) when concentrations of acetone and isopropanol are increased. The functionalisation of Au-silane on the optical fibre sensor provides a higher sensitivity compared to the unfunctionalised sensor as it shows more dramatic shifts of absorption spectra when there is a change in VOCs biomarker concentration.",
        "Classes": [
            "BME",
            "OPTIC",
            "CHE",
            "IE"
        ]
    },
    "084": {
        "Title": "Local Site Investigation of Liquefied Soils Caused by Earthquake in Northern Thailand",
        "Abstract": "\u00a9 2018, \u00a9 2018 Taylor & Francis Group, LLC.Ambient noise measurements and spectral analysis of surface waves were performed in Mae Lao to investigate the local site effects of the May 5, 2014 Mae Lao earthquake in Northern Thailand. Site investigations were conducted to determine horizontal to vertical spectral ratio, predominant frequency, and shear wave velocity profile. The results showed that the liquefied locations were classified as Site Class D. The low Vs profile at the shallow depth confirmed evidences of liquefaction in this area. The results could bring an understanding of site response and dynamic behavior of soils during earthquake in the Northern Thailand.",
        "Classes": [
            "PE",
            "ME",
            "CHE",
            "MATSCI"
        ]
    },
    "085": {
        "Title": "A wearable in-ear EEG device for emotion monitoring",
        "Abstract": "\u00a9 2019 by the authors. Licensee MDPI, Basel, Switzerland.For future healthcare applications, which are increasingly moving towards out-of-hospital or home-based caring models, the ability to remotely and continuously monitor patients\u2019 conditions effectively are imperative. Among others, emotional state is one of the conditions that could be of interest to doctors or caregivers. This paper discusses a preliminary study to develop a wearable device that is a low cost, single channel, dry contact, in-ear EEG suitable for non-intrusive monitoring. All aspects of the designs, engineering, and experimenting by applying machine learning for emotion classification, are covered. Based on the valence and arousal emotion model, the device is able to classify basic emotion with 71.07% accuracy (valence), 72.89% accuracy (arousal), and 53.72% (all four emotions). The results are comparable to those measured from the more conventional EEG headsets at T7 and T8 scalp positions. These results, together with its earphone-like wearability, suggest its potential usage especially for future healthcare applications, such as home-based or tele-monitoring systems as intended.",
        "Classes": [
            "BME",
            "EE"
        ]
    },
    "086": {
        "Title": "Drift-flux correlation for gas-liquid two-phase flow in a horizontal pipe",
        "Abstract": "\u00a9 2017 Elsevier Inc.A drift-flux correlation has been often used to predict void fraction of gas-liquid two-phase flow in a horizontal channel due to its simplicity and practicality. The drift-flux correlation includes two important drift-flux parameters, namely, the distribution parameter and void-fraction-weighted-mean drift velocity. In this study, an extensive literature survey for horizontal two-phase flow is conducted to establish void fraction database and to acquire existing drift-flux correlations. A total of 566 data is collected from 12 data sources and 4 flow-regime-dependent and 1 flow-regime-independent drift-flux correlations are identified. The predictive capability of the existing drift-flux correlations is assessed using the collected data. It is pointed out that the drift velocity determined by a regression analysis may include a significant error due to a compensation error between distribution parameter and drift velocity. In this study, a simple flow-regime-independent drift-flux correlation is developed. In the modeling approach, the void-fraction-weighted mean drift velocity is approximated to be 0 m/s, whereas the distribution parameter is given as a simple function of the ratio of non-dimensional superficial gas velocity to non-dimensional mixture volumetric flux. The newly developed correlation shows an excellent predictive capability of void fraction for horizontal two-phase flow. Mean absolute error (or bias), standard deviation (random error), mean relative deviation and mean absolute relative deviation of the correlation are 0.0487, 0.0985, 0.0758 and 0.206, respectively. The prediction accuracy of the correlation is similar to the correlation of Chexal et al. (1991), which was formulated based on the drift-flux parameters by means of many cascading constitutive relationships with numerous empirical parameters.",
        "Classes": [
            "ME",
            "MATH",
            "MATSCI"
        ]
    },
    "087": {
        "Title": "Usability Evaluation of Nutrition Fact Label",
        "Abstract": "\u00a9 2018 IEEE.The nutritional fact label (NFL) is the medium used to communicate nutritional information that help people having a balance-dietary, while there were evidences claimed that current format of NFL had an interface issues. Thus, the purpose of this study was to evaluate usability of nutrition fact label concerning people's health literacy. This study conducted a quantitative usability testing together with an in-depth interview in order to understand how people accessed the nutrition information in current design. Forty participants with 10 people that are high health literacy and 30 people that are low health literacy participated in the usability testing. The individual differences of health literacy were found and the major interface issues were illustrated and discussed.",
        "Classes": [
            "BME",
            "EDU"
        ]
    },
    "088": {
        "Title": "Deep Learning for Stock Market Prediction Using Event Embedding and Technical Indicators",
        "Abstract": "\u00a9 2018 IEEE.Recently, ability to handle tremendous amounts of information using increased computational capabilities has improved prediction of stock market behavior. Complex machine learning algorithms such as deep learning methods can analyze and detect complex data patterns. The recent prediction models use two types of inputs as (i) numerical information such as historical prices and technical indicators, and (ii) textual information including news contents or headlines. However, the use of textual data involves text representation construction. Traditional methods like word embedding may not be suitable for representing the semantics of financial news due to problems of word sparsity in datasets. In this paper, we aim to improve stock market predictions using a deep learning approach with event embedding vectors extracted from news headlines, historical price data, and a set of technical indicators as input. Our prediction model consists of Convolutional Neural Network (CNN) and Long Short-term Memory (LSTM) architectures. We use accuracy and annualized return based on trading simulation as performance metrics, and then perform experiments on three datasets obtained from different news sources namely Reuters, Reddit, and Intrinio. Results show that enhancing text representation vectors and considering both numerical and textual information as input to a deep neural network can improve prediction performance.",
        "Classes": [
            "BME",
            "EE",
            "CPE"
        ]
    },
    "089": {
        "Title": "Impact analysis of renewable energy generation system onspinning reserveand operating cost",
        "Abstract": "\u00a9 2018 IEEEThispaper presents impact analysis of renewable energy generationsystem impact on the spinning reserve and operating cost. The analysis is carried out byusing economic dispatchin the situation thatrenewable energy generation system hasthemost drastic fluctuations in the output. In addition, the proposed analysis model is illustrated using Thailand's power generation system. In the experimental results,impacts of renewable energy generation system on spinning reserve and operating costis analyzed by varying installed capacity of wind and solar power generation systemsThe results showthat drastic fluctuations in the output of wind and solar power generation systemsas well asan increase of wind and solar installed capacity cancause arise inthe spinning reserveand operating costof the system.",
        "Classes": [
            "ME",
            "IE"
        ]
    },
    "090": {
        "Title": "Joint timing offset and delay spread estimation for OFDM symbol synchronization over multipath fading channels",
        "Abstract": "\u00a9 2019 IEEE.In this paper, we present a blind symbol timing offset estimation utilizing cyclic prefix for OFDM systems over multipath fading channels without a priori knowledge of the channel power-delay profile being required. The proposed technique is based on maximum likelihood (ML) principle which is capable of estimating jointly symbol timing offset and channel power-delay spread. Numerical results obtained through computer simulations show that our proposed technique can be effective in comparison to other techniques for additive white Gaussian noise (AWGN) and multipath fading channels.",
        "Classes": [
            "EE",
            "MATH"
        ]
    },
    "091": {
        "Title": "Development of a restraining wall and screw-extractor discharge system for continuous jig separation of mixed plastics",
        "Abstract": "\u00a9 2021 Elsevier LtdBatch and continuous jig experiments were compared using plastic mixtures with different light and heavy particle ratios. The purity of bottom layer products of continuous jig was lower than those of batch jig because of light particle entrainment induced by the screw-type extractor. To minimize entrainment, a new discharge system consisting of a vertical restraining wall and a screw-type extractor was developed. The restraining wall was installed close to the \u201cproduct-end\u201d to separate the jig chamber into two and allow particles to transfer from one part to the other via the gap under the wall. The experimental results showed that this proposed discharge system could improve the purity of heavy particles in bottom layer products because of two reasons: (1) higher material mass ratio of heavy plastic close to product-end, and (2) changes in the flow of water and particles. Moreover, the purity of bottom layer products during continuous jig separation was influenced by the difference of material mass ratio in feed; that is, purity was higher when the ratio of heavy plastic was high. In addition, an estimation procedure based on multi-step treatment using separation curves is proposed to achieve the target purity of bottom layer products.",
        "Classes": [
            "ENV",
            "ME"
        ]
    },
    "092": {
        "Title": "MHCSeqNet: A deep neural network model for universal MHC binding prediction",
        "Abstract": "\u00a9 2019 The Author(s).Background: Immunotherapy is an emerging approach in cancer treatment that activates the host immune system to destroy cancer cells expressing unique peptide signatures (neoepitopes). Administrations of cancer-specific neoepitopes in the form of synthetic peptide vaccine have been proven effective in both mouse models and human patients. Because only a tiny fraction of cancer-specific neoepitopes actually elicits immune response, selection of potent, immunogenic neoepitopes remains a challenging step in cancer vaccine development. A basic approach for immunogenicity prediction is based on the premise that effective neoepitope should bind with the Major Histocompatibility Complex (MHC) with high affinity. Results: In this study, we developed MHCSeqNet, an open-source deep learning model, which not only outperforms state-of-the-art predictors on both MHC binding affinity and MHC ligand peptidome datasets but also exhibits promising generalization to unseen MHC class I alleles. MHCSeqNet employed neural network architectures developed for natural language processing to model amino acid sequence representations of MHC allele and epitope peptide as sentences with amino acids as individual words. This consideration allows MHCSeqNet to accept new MHC alleles as well as peptides of any length. Conclusions: The improved performance and the flexibility offered by MHCSeqNet should make it a valuable tool for screening effective neoepitopes in cancer vaccine development.",
        "Classes": [
            "BME",
            "CPE",
            "CHE"
        ]
    },
    "093": {
        "Title": "Impact of AlCl3 and FeCl2 Addition on Catalytic Behaviors of TiCl4/MgCl2/THF Catalysts for Ethylene Polymerization and Ethylene/1-Hexene Copolymerization",
        "Abstract": "Copyright \u00a9 2018 BCREC Group. All rights reserved.The present research focuses on elucidating of the impact of Lewis acids including AlCl3 and FeCl2 addition on catalytic behaviors during ethylene polymerization and ethylene/1-hexene copolymerization over the TiCl4/MgCl2/THF catalyst (Cat. A). In this study, the Cat. A with the absence and presence of Lewis acids was synthesized via the chemical route. Then, all catalyst samples were characterized and tested in the slurry polymerization. For ethylene polymerization, using the Cat. A with the presence of AlCl3 apparently gave the highest activity among other catalysts. In addition, the activity of catalysts tended to increase with the presence of the Lewis acids. This can be attributed to an enhancement of active center distribution by the addition of Lewis acids leading to larger amounts of the isolated Ti species. Moreover, with the presence of Lewis acids, the effect of hydrogen on the decreased activity was also less pronounced. Considering ethylene/1-hexene copolymerization, it revealed that the catalyst with the presence of mixed Lewis acids (AlCl3 + FeCl2) exhibited the highest activity. It is suggested that the presence of mixed Lewis acids possibly caused a change in acidity of active sites, which is suitable for copolymerization. However, activities of all catalysts in ethylene/1-hexene copolymerization were lower than those in ethylene polymerization. The effect of hydrogen on the decreased activity for both polymerization and copolymerization system was found to be similar with the presence of Lewis acids. Based on this study, it is quite promising to enhance the catalytic activity by addition of proper Lewis acids, especially when the pressure of hydrogen increases. The characteristics of polymers obtained upon the presence of Lewis acids will be discussed further in more detail.",
        "Classes": [
            "CHE",
            "MATENG"
        ]
    },
    "094": {
        "Title": "Modular transformation of embedded systems from firm-cores to soft-cores",
        "Abstract": "Copyright \u00a9 2021 Inderscience Enterprises Ltd.Although there are many 8-bit IP processor cores available, only a few, such as Xilinx PicoBlaze and Lattice Mico8 firm-cores are reliable enough to be used in commercial products. One of the drawbacks is that their codes are confined to vendor-specific primitives. It is inefficient to implement a PicoBlaze processor on non-Xilinx FPGA devices. In this paper we propose a systematic approach that transforms primitive-level designs (firm-cores) to vendor independent designs (soft-cores), while modularising them during the process. This makes modification and implementation of designs on any FPGA devices possible. To demonstrate the idea, our soft-core version of PicoBlaze is implemented on a Lattice iCE40LP1k FPGA device and is shown to be fully compatible with the original PicoBlaze macro. Rigorous verification mechanisms have been employed to ensure the validity of the porting process; therefore, the quality of transformation matches the industry expectation.",
        "Classes": [
            "CPE"
        ]
    },
    "095": {
        "Title": "Thermodynamic analysis of the novel chemical looping process for two-grade hydrogen production with CO2 capture",
        "Abstract": "\u00a9 2018 Elsevier LtdThe integrated sorption-enhanced chemical looping reforming and water splitting (SECLR-WS) process was proposed for hydrogen (H2) production from biogas using iron oxide as an oxygen carrier and calcium oxide (CaO) as a carbon dioxide (CO2) adsorbent. In the SECLR-WS process, the biogas feed is partially oxidized using iron oxide and CO2 is captured by CaO in the fuel reactor (FR) to produce H2-rich syngas. The iron oxide is re-oxidized in the steam reactor (SR) to generate a high-purity H2 stream and CaO is regenerated in the calcinator. The simulation of the SECLR-WS process was based on a thermodynamic approach and was performed using an Aspen Plus simulator. The effects of key parameters such as the steam feed to the FR to methane (SFR/CH4) and iron (II, III) oxide (Fe3O4) to CH4 (Fe3O4/CH4) molar ratios on the process performance in terms of H2 yield and purity, and CH4 conversion were investigated. The results showed that the H2 yield, H2 purity in the FR, and CH4 conversion could be improved by increasing the SFR/CH4 and CaO/CH4 molar ratios. A total H2 yield of 3.8 and a H2 purity in the FR of 97.01 mol% can be obtained at the FR and SR temperatures of 610 and 500 \u00b0C, and SFR/CH4, CaO/CH4, Fe3O4/CH4, and SSR/CH4 molar ratios of 2.2, 1.66, 1, and 2.87, respectively. The molar concentration of carbon monoxide (CO) in the high-purity H2 stream could be reduced by increasing the pressure in the SR and the amount of CO2 in the biogas feed stream negatively affected the performance of the system. In addition, increasing the Fe3O4/CH4 molar ratio can improve the heat demand in the FR.",
        "Classes": [
            "PE",
            "CPE",
            "CHE"
        ]
    },
    "096": {
        "Title": "Optimal hybrid renewable energy system considering renewable energy potential in the area",
        "Abstract": "\u00a9 2018 IEEEThis paper proposes a method to determine the size and operation of hybrid renewable energy system. The obtained size and operation are aimed to be most appropriate by using optimization technique to maximize benefits from the electrical energy sale. The analysis is based on renewable energy potential in a selected area of Thailand, Thailand's SPP Hybrid Firm policy, investment cost and fuel cost of each renewable energy system. In addition, the renewable energy sources that are considered in this paper consist of solar, wind, biomass, biogas and waste. In the numerical simulation, the result of the proposed method shows that PV-biomass is the most appropriate hybrid renewable energy system for the area.",
        "Classes": [
            "PE",
            "IE",
            "MATH"
        ]
    },
    "097": {
        "Title": "Baseline Calculation of Industrial Factories for Demand Response Application",
        "Abstract": "\u00a9 2018 IEEE.Baseline calculation is one of the most important issues in demand response program. Accurate baseline calculation means fair payment to the customers. This paper proposes a method that is based on the Levenberg-Marquardt algorithm of neural networks for such calculations. Its performance is compared with two well-known methods: (1) Linear Regression Analysis, and (2) Polynomial Regression Analysis. We have shown that the most accurate result of the baseline in the sampled industrial factory is neural networks using the Levenberg-Marquardt algorithm.",
        "Classes": [
            "MATH"
        ]
    },
    "098": {
        "Title": "Formal modeling for consistency checking of signal transition graph",
        "Abstract": "\u00a9 2017 IEEE.The behavior of asynchronous hardware system is crucial and practically assured using the formal verification techniques. A signal transition graph is one of the effective alternatives to represent the behavioral design of a huge asynchronous system. The design could be verified beforehand to assure several essential properties including its consistency property. In this paper, the formal modeling scheme of a signal transition graph is proposed along with the consistency property in term of the linear temporal formula. The target signal transition graph is written in Promela code and verified using SPIN model checker. The result shows that the method can verify consistency property automatically.",
        "Classes": [
            "CPE"
        ]
    },
    "099": {
        "Title": "Correlated optical and structural analyses of individual GaAsP/GaP core-shell nanowires",
        "Abstract": "\u00a9 2019 IOP Publishing Ltd.We report on the structural and optical properties of GaAs0.7P0.3/GaP core-shell nanowires (NWs) for future photovoltaic applications. The NWs are grown by self-catalyzed molecular beam epitaxy. Scanning transmission electron microscopy (STEM) analyses demonstrate that the GaAsP NW core develops an inverse-tapered shape with a formation of an unintentional GaAsP shell having a lower P content. Without surface passivation, this unintentional shell produces no luminescence because of strong surface recombination. However, passivation of the surface with a GaP shell leads to the appearance of a secondary peak in the luminescence spectrum arising from this unintentional shell. The attribution of the luminescence peaks is confirmed by correlated cathodoluminescence and STEM analyses of the same NW.",
        "Classes": [
            "CE",
            "METAL",
            "OPTIC",
            "NANO",
            "CHE",
            "MATSCI"
        ]
    },
    "100": {
        "Title": "Maximizing double-link failure recovery of over-dimensioned optical mesh networks",
        "Abstract": "\u00a9 2019Double-link failure models, in which any two links in the network fail in an arbitrary order, are becoming critical in survivable optical network designs. Optical networks that are over-dimensioned and purposely preplanned for full protection against any single-link failure may not survive well in an event of a double-link failure. It is therefore important to understand how much impact a subsequent second link failure may have upon traffic recovery of both failed links. This paper primarily aims to investigate traffic recoverability when a double-link failure occurs. We propose several methods for improving traffic recovery without using additional backup capacities other than the existing backup resources available for single-link failure recovery. In each proposed method, integer linear programming formulation is derived to optimize the backup resource allocation. Numerical results on various network configurations have shed some light on how network operators can choose one of five alternative methods to better handle a double-link failure. From numerical results, Method 1 offers some improvement on the traffic recoverability of the second failed link without disturbing the recovered traffic of the first failed link. Method 2 reveals that the traffic recoverability of the first failed link can be improved if the backup routes of the unrecovered traffic of the first failed link can be reassigned. Method 3 is useful for maximizing the traffic recoverability of the first failed link. Method 4 further increases the recoverability of the second failed link while maintaining the same recoverability of the first failed link as Method 3. Finally, Method 5 accomplishes the maximum overall traffic recoverability.",
        "Classes": [
            "CPE",
            "OPTIC",
            "MATH"
        ]
    },
    "101": {
        "Title": "Facile fabrication of WO3/MWCNT hybrid materials for gas sensing application",
        "Abstract": "\u00a9 2019 Elsevier B.V.Hybrid materials of tungsten oxide (WO3) and multi-walled carbon nanotubes (MWCNTs) were fabricated by a facile method using acid precipitation route. Ammonium tungstate para-pentahydrate was supplied to a designated amount of MWCNTs to prepare a precipitate of tungsten compound hybridizing with MWCNT surface in prior to calcination with air in a temperature range of 300\u2013600 \u00b0C. Morphology, crystalline, functional groups on surface, porosity and thermal stability of synthesized hybrid material were characterized by SEM, XRD, Fourier transform Raman spectroscopy, TGA and BET analyses. It could be confirmed that the prepared WO3/MWCNT hybrid materials possessed very high BET surface area and mesoporous characteristics with good thermal stability which would be beneficial to their application as thick-film sensors.",
        "Classes": [
            "ENV",
            "ME",
            "NANO",
            "CHE",
            "MATENG",
            "MATSCI"
        ]
    },
    "102": {
        "Title": "Performance comparison among different multifunctional reactors operated under energy self-sufficiency for sustainable hydrogen production from ethanol",
        "Abstract": "\u00a9 2019 Hydrogen Energy Publications LLCFour ethanol-derived hydrogen production processes including conventional ethanol steam reforming (ESR), sorption enhanced steam reforming (SESR), chemical looping reforming (CLR) and sorption enhanced chemical looping reforming (SECLR) were simulated on the basis of energy self-sufficiency, i.e. process energy requirement supplied by burning some of the produced hydrogen. The process performances in terms of hydrogen productivity, hydrogen purity, ethanol conversion, CO2 capture ability and thermal efficiency were compared at their maximized net hydrogen. The simulation results showed that the sorption enhanced processes yield better performances than the conventional ESR and CLR because their in situ CO2 sorption increases hydrogen production and provides heat from the sorption reaction. SECLR is the most promising process as it offers the highest net hydrogen with high-purity hydrogen at low energy requirement. Only 12.5% of the produced hydrogen was diverted into combustion to fulfill the process's energy requirement. The thermal efficiency of SECLR was evaluated at 86% at its optimal condition.",
        "Classes": [
            "PE",
            "CHE"
        ]
    },
    "103": {
        "Title": "Structure and mechanical properties of ADC 12 Al foam-polymer interpenetrating phase composites with epoxy resin or silicone",
        "Abstract": "\u00a9 Carl Hanser Verlag, M\u00fcnchenMetal foam is a high-porosity engineering material which has many outstanding properties such as light weight, high specific strength and stiffness, large energy absorption during impact and good thermal transportation. The impregnation of metal foams with polymers produces a new types of composites such as interpenetrating phase composites (IPCs) or co-continuous composites due to the interconnection on a macroscopic level of individual phases as a co-continuous 3-D network. The coexistence of the metal and polymer phases allows each to contribute its prominent properties to the composite. This innovative composite material is a potential candidate for applications in the automotive and aerospace industries. The present study aims to develop two IPCs from open-cell Al foams of 20 ppi impregnated with silicone or epoxy resin. The compressive behavior and energy absorption characteristics of IPCs are also examined and compared. The results show that although both IPCs have a similar foam structure with similar density, the disparities in the properties of impregnated polymers lead to distinct mechanical properties. The combination of Al foam and polymers, both silicone and epoxyresin, results in IPCs stiffer than either of the two individual materials bythemselves. Higher stiffness was found in IPCs with epoxy resin, owing to brittle nature of the resin. Energy absorption capacity was also increased when compared with the original Al foam.",
        "Classes": [
            "METAL",
            "MATENG",
            "MATSCI"
        ]
    },
    "104": {
        "Title": "Dynamic symmetry breaking in sat using augmented clauses with a polynomial-time lexicographic pruning",
        "Abstract": "\u00a9 2018 IEEE.Dynamic symmetry breaking in Boolean satisfiability problems (SAT) is often performed by adding symmetric versions of the learned clauses into the clause database. Using a notion of augmented clause every symmetric version can be learned. The task of unit propagation is then transformed into a search problem under a permutation group. Our work focuses on a special kind of symmetry called row symmetry. We present the optimization to the search problem under a group containing row symmetry subgroups mainly relies on lexicographic pruning and the fact that some instances can be reduced to minimal assignment problems. We also introduce a construction of subgroups of row symmetry groups to ensure that every sub-task could be performed in polynomial time. Lastly, we discuss the implementation of our technique and some of the technical issue that needed to be address.",
        "Classes": [
            "MATH",
            "MATSCI"
        ]
    },
    "105": {
        "Title": "A durable rechargeable zinc-air battery via self-supported MnOx-S air electrode",
        "Abstract": "\u00a9 2021 The Author(s)The durability and performance of an air electrode can have a crucial impact on rechargeable zinc-air batteries (ZABs). A typical air electrode fabricated using conductive carbon and a polymeric binder suffers rapid degradation during charging, stemming from oxygen bubbles erosion and carbon corrosion. This work presents a durable air electrode having a self-supported sulfur-doped manganese oxides (MnOx-S) electrocatalyst prepared through hydrothermal process followed by ambient temperature sulfurization. Upon sulfurization, MnO2 nanoflakes are transformed into MnOx-S having a heterostructure of Mn3O4, MnO2 and MnSx. MnOx-S provided superior electrochemical properties for both oxygen reduction reaction (Tafel slope of 68 mV/dec) and oxygen evolution reaction (Tafel slope of 80 mV/dec). Self-supported electrodes using MnOx-S and MnO2 electrocatalysts were scrutinized in a bi-electrode rechargeable ZAB having a stagnant electrolyte. In the ZAB using the self-supported MnOx-S electrode, both significant discharge peak power density (74 mW/cm2 at 135 mA/cm2) as well as low voltage difference between charge and discharge processes (0.75 V) were observed. In addition, for charge-discharge cycling at 20 mA/cm2, the ZAB using the self-supported MnOx-S electrode achieved stable cycling through 2000 cycles without apparent degradation. The air electrode having the self-supported MnOx-S paves the way for a more durable and higher performance favoring practical application for rechargeable ZABs.",
        "Classes": [
            "METAL",
            "EE",
            "CHE",
            "MATH"
        ]
    },
    "106": {
        "Title": "Anisotropic robustness of talc particles after surface modifications probed by atomic force microscopy force spectroscopy",
        "Abstract": "\u00a9 2021 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of SciencesAs a versatile mineral, the crystalline hydrated magnesium silicate talcum, or talc, has been widely used in numerous industries from pharmaceutical formulations to composite material designs. Its efficient application as filler/additives incorporates the improvement in concomitant properties within materials, e.g., strength, which involves interactions between talc particles and aqueous/nonaqueous matrices. Successful property enhancement imposes ideal mixing and homogenous adhesion within a talc particle, but they are limited by the coexistence of face and edge surfaces of talc, which exhibit different level of hydrophobicity. Here, using atomic force microscopy force spectroscopy, we showed that although hydrophilic talc particles obtained from acid treatment or aminosilanization better adhered with materials representing a matrix, the anisotropic characters of the two surface types persisted. Conversely, the degree of talc's surface anisotropy reduced with the surface hydrophobization by aliphatic methylsilanization, but followed by the decrease in adhesion. With ten-fold difference in Hamaker constants of the probe/talc surface interacting pairs, we showed that the adhesions resulted from van der Waals interactions that suggested the influence of surface polarity. The insight from this work would provide grounds for strategies to modulate talc's adhesion, hydrophobicity and surface uniformity.",
        "Classes": [
            "PE",
            "OPTIC",
            "NANO",
            "MATSCI"
        ]
    },
    "107": {
        "Title": "Movie Revenue Prediction Using Regression and Clustering",
        "Abstract": "\u00a9 2018 IEEE.Among many movies that have been released, some generate high profit while the others do not. This paper studies the relationship between movie factors and its revenue and build prediction models. Besides analysis on aggregate data, we also divide data into groups using different methods and compare accuracy across these techniques as well as explore whether clustering techniques could help improve accuracy. Specifically, two major steps were employed. Initially, linear regression, polynomial regression and support vector regression (SVR) were applied on the entire movie data to predict the movie revenue. Then, clustering techniques, such as by genre, using Expectation Maximization (EM) and using K-means were applied to divide data into groups before regression analyses are executed. To compare accuracy among different techniques, R-square and the root-mean-square error (RMSE) were used as a performance indicator. Our study shows that generally linear regression without clustering offers the model with the highest R-square, while linear regression with EM clustering yields the lowest RMSE.",
        "Classes": [
            "CPE",
            "EDU",
            "MATH"
        ]
    },
    "108": {
        "Title": "Effect of different phase composition in titania on catalytic behaviors of AgLi/TiO2 catalysts via ethanol dehydrogenation",
        "Abstract": "\u00a9 2019 Elsevier Ltd.This research was to investigate the production of acetaldehyde from ethanol by non-oxidative and oxidative dehydrogenation reaction over AgLi/TiO2 catalysts containing different phases of TiO2 supports. The catalysts were prepared via impregnation of Ag and Li onto TiO2 having different phases [anatase (A), rutile (R) and mixed phases (AR)]. The structure of different AgLi/TiO2 catalysts was confirmed using various techniques including XRD, N2 physisorption, SEM-EDX, ICP, FTIR, UV-vis spectroscopy, H2-TPR, and CO2-TPD. The results from non-oxidative dehydrogenation indicated that AgLi/TiO2-A catalyst exhibited the highest acetaldehyde yield of ca. 40 % at 300\u00e2\u00b0C, while acetaldehyde yield of ca. 66 % was obtained for AgLi/TiO2-AR catalyst at 300\u00e2\u00b0C in oxidative dehydrogenation. On the basis of experimental results, we conclude that the phases transition of TiO2 strongly affects the physicochemical properties of AgLi/TiO2 catalysts. The influence of catalyst properties such as the strength of basic sites and reduction behaviors have been a positive synergetic effect for enhancing the catalytic performance of both reactions. Reasons for these were discussed.",
        "Classes": [
            "PE",
            "CHE"
        ]
    },
    "109": {
        "Title": "Demonstration of Photovoltaic Effects in Hybrid Type-I InAs/GaAs Quantum Dots and Type-II GaSb/GaAs Quantum Dots",
        "Abstract": "\u00a9 2018 IEEE.We fabricate hybrid quantum dot (QD) solar cells by combining type-I InAs/GaAs QDs and type-II GaSb/ GaAs QDs, where the benefits of strong light absorption of type-I QDs and long carrier lifetime of type-II QDs are combined in a single device by using molecular beam epitaxy. We confirm the processes of photon absorption and emission by type-I QDs and reabsorption by type-II QDs by investigating their photoluminescence properties. The photovoltaic effects in such hybrid QD solar cells are also demonstrated. Our hybrid QD nanostructures would find potential applications in high efficiency QD-based solar cells operating under concentrated sunlight.",
        "Classes": [
            "PE",
            "ME",
            "EE",
            "OPTIC",
            "NANO",
            "CHE",
            "MATSCI"
        ]
    },
    "110": {
        "Title": "Effect of sustained service loading on post-fire flexural response of reinforced concrete T-beams",
        "Abstract": "Copyright \u00a9 2019, American Concrete Institute. All rights reservedThis paper presents the effect of sustained service loading at elevated temperatures on the residual flexural response of reinforced concrete (RC) T-beams after exposed to elevated temperatures of 700 and 900\u00b0C (1292 and 1652\u00b0F) for 3 hours and then cooled in air. Two beams were subjected to a constant simulated service loading equal to 22.6% of undamaged (unheated) flexural strength, while the counterpart beams were exposed to fire without any applied sustained load. The test results showed that the bottom (tension) steel reinforcements in all fire-exposed beams had experienced the peak temperatures that were higher than a critical value (593\u00b0C [1099\u00b0F]) before the post-fire static test. The post-fire static test results showed that the sustained loading has a detrimental effect on the post-fire flexural response of RC beams. The effect was more pronounced on the post-fire stiffness and ductility than on strength. In the paper, simplified finite element models for predicting the temperature response and post-fire load-deflection relationships of fire-exposed RC beams are also described.",
        "Classes": [
            "CE",
            "SAFETY",
            "MATH"
        ]
    },
    "111": {
        "Title": "Effect of acrylonitrile content of acrylonitrile butadiene rubber on mechanical and thermal properties of dynamically vulcanized poly(lactic acid) blends",
        "Abstract": "\u00a9 2019 Society of Chemical IndustryWe report here the morphology, thermal and tensile properties of poly(lactic acid) (PLA) blends composed of acrylonitrile butadiene rubber (NBR) with different acrylonitrile contents with/without dynamic vulcanization by dicumyl peroxide (DCP). The interfacial tension of PLA and NBR measured by contact angle measurement decreased as the acrylonitrile content of NBR decreased. Likewise, SEM images showed that the rubber particle size reduced with decreasing acrylonitrile content owing to the stronger interfacial adhesion between the PLA matrix and NBR domains. Incorporation of DCP at 1.0 phr for dynamic vulcanization led to higher crosslink density and, in turn, optimal tensile strength and tensile toughness as a result of the action of PLA-NBR copolymer as a reactive compatibilizer. The dynamic vulcanization of the blends containing low acrylonitrile NBR gave the most improved tensile properties because the free radicals from DCP decomposition preferentially attacked the allylic hydrogen atoms or double bonds of the butadiene backbone. Accordingly, more NBR macroradicals were generated and probably more PLA-NBR copolymers were produced. Moreover, further addition of DCP at 2.0 phr provided a large amount of crosslinked NBR gel, which significantly degraded the tensile properties. From the DSC results, dynamic vulcanization lowered the cold crystallization temperature, implying an improvement of cold crystallization. Finally, TGA results showed a higher degradation temperature as a function of DCP content, which suggested that thermal stability increased due to stronger interfacial adhesion as well as higher gel content. \u00a9 2019 Society of Chemical Industry.",
        "Classes": [
            "CHE",
            "MATENG",
            "MATSCI"
        ]
    },
    "112": {
        "Title": "Carbon Dioxide Adsorption on Grafted Nanofibrous Adsorbents Functionalized Using Different Amines",
        "Abstract": "\u00a9 Copyright \u00a9 2019 Abbasi, Nasef, Babadi, Faridi-Majidi, Takeshi, Abouzari-Lotf, Choong, Somwangthanaroj and Kheawhom.Of late, the demand for new CO2 adsorbents with high adsorption capacity and stability is growing very fast. Nanofibrous adsorbents are potential materials for such application with most attempts made on carbon nanofibers. In this study, a series of electrospun nanofibrous adsorbents containing amines were prepared using a 3-stage promising approach and tested comparatively for CO2 capture. The preparation of adsorbents involved electrospinning of syndiotactic polypropylene (s-PP) solution, radiation-induced grafting (RIG) of glycidyl methacrylate (GMA) onto electrospun nanofibers, and functionalization of poly-GMA grafted s-PP nanofibrous mats with different amines, including ethanolamine (EA) diethylamine (DEA) and triethylamine (TEA). The effect of different amination parameters: namely, amine concentration, reaction time, temperature, and degree of grafting (DG) on the degree of amination (DA), was evaluated. The nanofibrous mats containing amine were tested for CO2 adsorption in a fixed bed column operated under various parameters such as amine density, amine type, initial CO2 concentration and temperature. The adsorbents recorded CO2 adsorption capacities of 2.87, 2.06, and 0.94 mmol/g for EA-, DEA- and TEA-containing adsorbents, respectively, at 30\u00b0C using initial CO2 concentration of 15%. This was coupled with the same order of high amine efficiency of 75, 57, and 31%. Results demonstrated that the nanofibrous adsorbent containing amine had strong potential for CO2 capture application.",
        "Classes": [
            "NANO",
            "CHE",
            "MATENG",
            "MATSCI"
        ]
    },
    "113": {
        "Title": "Dynamic interaction between multiple rigid strips and transversely isotropic poroelastic layer",
        "Abstract": "\u00a9 2019 Elsevier LtdThe influence of anisotropic and poroelastic effects on dynamic compliances of multiple rigid strip foundations bonded to a transversely isotropic poroelastic layer is studied in this paper. The dynamic interaction problem is investigated by employing a discretization method based on the rigid body displacement boundary conditions at each strip-layer interface. The present discretization technique yields a flexibility equation system to determine the contact traction with the aid of the influence functions. Comparisons with several existing solutions are presented and selected numerical results for non-dimensional compliances of a system of two rigid strips are shown to portray the influence of various effects on the foundation response.",
        "Classes": [
            "CE",
            "PE",
            "CPE"
        ]
    },
    "114": {
        "Title": "Simple discrete time traction control for a two-wheeled mobile robot",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.Traction controls usually need dynamic parameters as an approximated reference in the model, such as inertia and friction or heavily computational estimator, such as slip ratio estimator and friction estimator. This paper is shown that the dynamic parameters in the traction controller can be negligible in some cases, internal sensor state variables and gain parameters are enough to retain some traction controllability. The controller is derived from the model following control method (MFC) on a discrete domain. Experiments are performed, in order to evaluate the efficiency of the simplified controller using a two-wheeled mobile robot, by comparing slippage between the position and velocity control scheme with and without the traction control scheme. The experimental results show that the proposed traction control scheme is able to suppress the slip and very simple to implement.",
        "Classes": [
            "CPE",
            "MATSCI"
        ]
    },
    "115": {
        "Title": "X-ray absorption spectroscopy investigation of relationship between Mg vacancy and magnetic properties of MgO powder",
        "Abstract": "\u00a9 2018 Elsevier B.V.This paper reports on the ferromagnetism of MgO powder and degraded powder at room temperature. The starting material, Mg(OH)2 was analyzed by X-ray fluorescence (XRF) spectrometry and then calcined at 450 \u00b0C for 5 h to obtain fresh MgO powder. The calcined powder was separated into two batches (i) kept in vacuum sealed (MgO-F) and (ii) kept at ambient environment (30\u201332 \u00b0C at 45\u201355% relative humidity) for 2 days (MgO-D). The samples were characterized by X-ray diffraction (XRD), vibrating sample magnetometer (VSM) and X-ray absorption spectroscopy (XAS) including X-ray absorption near edge structure (XANES) and extended X-ray absorption fine structure (EXAFS). XRD and EXAFS confirmed that MgO phase in MgO-F. Both Mg(OH)2 and MgO compositions were found in MgO-D. The origin of ferromagnetism at room temperature of MgO-F and MgO-D is attributed to the Mg vacancies in the MgO structure that revealed and verified by XANES and EXAFS results.",
        "Classes": [
            "EE",
            "CHE",
            "MATSCI"
        ]
    },
    "116": {
        "Title": "Benefit and cost analysis of the installation of rooftop solar PV with battery system",
        "Abstract": "\u00a9 2018 IEEEOver the last few years, rooftop solar PV system receives high interest due to its rapid cost reduction. Nowadays, installing the rooftop solar PV can help reduce overall electricity bill of the owner throughout the lifetime of the system. However, in some countries including Thailand, selling large amount of power output from the rooftop solar PV to the grid may not be allowed, due to the strict grid code. At present, price of battery is continuously decreasing. Consequently, installation of the rooftop solar PV with battery might solve this problem. Thus, this paper proposes a method to determine the optimal installed capacity of rooftop solar PV generation and the minimum required size of the battery which improve the cost-benefit from installing solar power generation without the battery.",
        "Classes": [
            "ME",
            "EE",
            "IE"
        ]
    },
    "117": {
        "Title": "A smart domestic refrigerator with energy efficiency improvement",
        "Abstract": "\u00a9 2019 IEEE.This paper proposes hardware revision of a conventional domestic refrigerator: a Wi-Fi enabled main control board design with backward compatibility with existing peripherals are explained. A simple learning algorithm is also implemented on the microcontroller to maximize system efficiency while maintaining temperature at food safety limit or user's temperature preference. A wireless sensor node (WSN) is also introduced to reflect the actual food temperature for more precise temperature monitoring and control. The result from shows that the refrigerator can achieve higher efficiency at 6.38% for refrigeration cycle and 7.18% for defrost cycle. The result can be improved further with additional data collected and better algorithm implemented.",
        "Classes": [
            "PE",
            "ME",
            "CPE"
        ]
    },
    "118": {
        "Title": "Traffic prediction using attentional spatial-temporal deep learning with accident embedding",
        "Abstract": "\u00a9 2019 IEEE.Nowadays, an intelligent transportation system (ITS) is extremely important. High accuracy traffic prediction has been studied in large-scale networks. Deep learning methods are able to analyze the complex, multi-dimensional data to provide the least traffic prediction error. Both spatial and temporal dependencies provide significant implications for traffic prediction. Hence, we propose a combination of deep learning method architectures which consist of Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) to analyze spatial and temporal features and predict traffic speed in multiple steps. An accident has a major impact on local traffic congestion. We employ an autoencoder with a monotonic attention mechanism to learn accident embedding input to detect unexpected accidents and their effects. An experiment was conducted on two datasets of Highways England and Thai Expressways. Results showed that spatial and temporal features can solve problems at different locations in the traffic network using the deep learning method to improve traffic prediction performance. Furthermore, a monotonic attention mechanism using an autoencoder to learn how accidents impact on traffic congestion can minimize the prediction error.",
        "Classes": [
            "BME",
            "EE",
            "CPE",
            "SAFETY"
        ]
    },
    "119": {
        "Title": "Deposition of Pt nanoparticles on TiO2 by pulsed direct current magnetron sputtering for selective hydrogenation of vanillin to vanillyl alcohol",
        "Abstract": "\u00a9 2019 Elsevier B.V.Pulsed direct current magnetron sputtering (PDC-MSD) was employed for the deposition of Pt nanoparticles (ca. 0.1 wt.%) on anatase TiO2 powder. According to the H2-TPR, XPS, and TEM-EDX results, the characteristics and properties of the deposited nanoparticles depended on the deposition time. During the initial deposition stage (45\u201390 sec), low-coordinated small spherical Pt nanoparticles were formed. Prolonging the deposition time (135\u2013180 sec), led to the formation of larger Pt nanoparticles, which strongly interacted with the TiO2. The catalytic activities of the prepared Pt/TiO2 with different deposition times in the aqueous phase partial hydrogenation of vanillin to vanillyl alcohol ranged as follows: Pt/TiO2 MSD-45 < Pt/TiO2MSD-90 < Pt/TiO2MSD-180 < Pt/TiO2 MSD-135, which was in good agreement with the atomic Pt/Ti ratio and coordinated surface Pt atoms on the catalyst surface. The high catalytic activity of Pt/TiO2 MSD-135 was attributed to the presence of well-dispersed small Pt nanoparticles with more highly-coordinated Pt surface atoms deposited on the TiO2 anatase. PDC-MSD has been proven to be a more effective method for the preparation of supported metal catalysts, compared to those obtained by conventional impregnation technique.",
        "Classes": [
            "PE",
            "METAL",
            "NANO",
            "CHE",
            "MATSCI"
        ]
    },
    "120": {
        "Title": "SBFE analysis of nano-scale elastic layer with consideration of surface energy effects",
        "Abstract": "\u00a9 2019 Published under licence by IOP Publishing Ltd.This paper presents an efficient and accurate numerical technique for determining the mechanical response of an infinite elastic layer under surface loading and surface stress effects. The governing equation of the bulk is formulated from the classical linear elasticity theory via a SBFE technique whereas that of the material surface is obtained from a complete version of Gurtin-Murdoch surface elasticity theory. By enforcing the continuity at the interface of the material surface and the bulk, it leads to a system of linear non-homogenous ordinary differential equations governing the nodal functions. A general solution of the resulting system of ODEs is constructed via standard procedures and then used together with the boundary conditions to form a system of linear algebraic equations governing nodal degrees of freedom. To investigate the accuracy and convergence of the proposed method, selected scenarios are solved and obtained numerical results are reported and discussed.",
        "Classes": [
            "NANO",
            "MATH",
            "MATSCI"
        ]
    },
    "121": {
        "Title": "Enterprise WiFi Hotspot Authentication with Hybrid Encryption on NFC- Enabled Smartphones",
        "Abstract": "\u00a9 2018 IEEE.N owadays, some workplaces have adopted the policy of BYOD (bring your own device) that permits employees to bring personally owned devices, and to use those devices to access company information and applications. Especially, small devices like smartphones are widely used due to the greater mobility and connectivity. A majority of organizations provide the wireless local area network which is necessary for small devices and business data transmission. The resources access through Wi-Fi network of the organization needs intense restriction. WPA2 Enterprise with 802.1X standard is typically introduced to handle user authentication on the network using the EAP framework. However, credentials management for all users is a hassle for administrators. Strong authentication provides higher security whereas the difficulty of deployment is still open issues. This research proposes the utility of Near Field Communication to securely transmit certificate data that rely on the hybrid cryptosystem. The approach supports enterprise Wi-Fi hotspot authentication based on WPA2-802.1X model with the EAP-TLS method. It also applies multi-factor authentication for enhancing the security of networks and users. The security analysis and experiment on establishing connection time were conducted to evaluate the presented approach.",
        "Classes": [
            "EE",
            "CPE"
        ]
    },
    "122": {
        "Title": "Techno-economic analysis of vanillin production from Kraft lignin: Feasibility study of lignin valorization",
        "Abstract": "\u00a9 2019 Elsevier LtdKraft lignin waste is valorized by converting it into vanillin via the oxidation process. To obtain the highest yield of vanillin, feed concentration of lignin, reaction temperature, and oxygen partial pressure are optimized. Three separation cases, i.e. solvent extraction followed by distillation (Case I), solvent extraction (Case II), and vacuum distillation (Case III) are simulated and compared to identify the most suitable separation process. The results reveal that the highest vanillin yield of 9.25% is attainable using feed concentration of Kraft lignin of 30 g/l, operating temperature of 110 \u00b0C, and oxygen partial pressure of 5 bars. Case I appears to be the most suitable method of separation since it consumes the lowest amount of energy and gives the best economic returns, with a payback period of 6.19 years and internal rate of return (IRR) of 22.63%.",
        "Classes": [
            "CHE",
            "MATENG",
            "IE"
        ]
    },
    "123": {
        "Title": "Bottom-ash waste management for soil improvement in saraburi province, thailand",
        "Abstract": "\u00a9 2019 Trans Tech Publications, Switzerland.Recently, coal is still one of the main sources of energy. From a coal combustion process, a huge amount of coal waste such as bottom ash is generated. The most common method for coal-waste disposal is a landfill which creates the environmental problems. However, the coal-waste utilization like soil amendment is a better way to manage the waste as well as to reduce the environmental impacts and to increase the profit for the manufacturers. Therefore, the objectives of this study are to measure the properties of soil mixed with bottom ash from coal waste and to apply the bottom ash to improve the soil quality by growing one types of plants, chili, and to compare the results with the normal soil and soil with fertilizer. The operating parameters of this study are the compositions of coal-waste mixed with soil and fertilizer ranging from 0 to 30%wt. Furthermore, the pH, bulk density as well as soil texture are also measured and studied. From the results, it is found that bottom ash can help growing both plants especially chili with 10%wt bottom ash.",
        "Classes": [
            "ENV",
            "PE",
            "CHE"
        ]
    },
    "124": {
        "Title": "Treatment of produced water mixed with polymer from petroleum production",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.In the petroleum industry, polymer flooding is one of the main methods in enhanced oil recovery (EOR) that applies a water-soluble polymer such as partially hydrolyzed polyacrylamide (HPAM) to increase oil production. It is added to the flooding water to improve the oil movement. During the process, water is produced as a by-product along with oil and gas production. Moreover, produced water with polymer is more difficult to treat than that from conventional water-flooding process because it is complex and highly contaminated wastewater. The proper technology is required to treat this kind of wastewater and reuse it for oil production. Furthermore, the small to fine particles in the produced are needed to be removed because these particles can plug the reservoir in the oilfield. One of the main treatment processes is to apply the coagulant to agglomerate the fine particles and remove them before injection the water into the reservoir. Therefore, the objective of this study is to treat the produced water mixed with HPAM from petroleum production by using coagulants like polyaluminium chloride (PAC) and to investigate the effect of parameters such as coagulant dosage and polymer concentration on the treatment of produced water. The results are compared the performance with the conventional coagulant, potassium aluminum sulfate (potassium alum). The operating parameters of this study are coagulant dosage ranging from 300 to 900 mg/L and HPAM concentrations from 500 to 2,000 mg/L. In addition, the turbidity, as well as total suspended solids (TSS) are also studied. The results indicated that with an increase in HPAM concentration, the TSS and turbidity increase gradually under the same conditions. The results show that with 900 mg/L of coagulants, TSS and turbidity can be removed up to 89% and 94% with PAC and 39% and 27% with potassium alum, respectively. PAC can provide higher performance over alum at the same conditions; thus, leading to the reduction in chemical consumption and cost. Consequently, this method can be applied to use in the wastewater treatment from oil production with polymer flooding before injecting this produced water back into the reservoir.",
        "Classes": [
            "ENV",
            "PE",
            "ME",
            "OPTIC",
            "CHE",
            "MATENG"
        ]
    },
    "125": {
        "Title": "Carrier-Based Realization of Arbitrary Space-Vector PWM Methods for Three-Level Inverters",
        "Abstract": "\u00a9 2018 IEEJ Industry Application Society.Various space-vector modulation methods developed for three-level inverters require complicated calculation. Some researches attempt to solve this problem using a carrier-based modulation with the addition of appropriate zero voltages. However, to find the equivalent carrier-based realization is not always easy, especially for those space-vector modulations which include dipolar switching mode. This paper proposes a systematic procedure to derive an equivalent carrier-based modulation for an arbitrary space-vector modulation by decomposition of voltage commands and addition of generalized zero voltages. The proposed procedure is based on two key mathematical concepts 1) the barycentric coordinates for space-vector calculation and 2) the generalized dipolar modulation concept. Experimental results are given to prove the correctness of the proposed carrier-based algorithm.",
        "Classes": [
            "MATH"
        ]
    },
    "126": {
        "Title": "An enhanced time series classification using linear-regression based shape descriptor",
        "Abstract": "\u00a9 2019 Association for Computing Machinery.Time series classification (TSC) has been used extensively with a wide range in many fields of real-world applications. Nearest Neighbor (NN) with Dynamic Time Warping (DTW) is regarded as one of the most effective and popular method used for a time series classification problem. Being a non-linear-alignment distance measure, DTW is known to function harmoniously with NN classifier as an effective tool in matching two time series sequences. However, despite the fact that DTW is specifically designed to discover an optimal alignment, it may not be able to achieve sensible local alignment. In this work, the shapeDTW framework was adopted in order to classify time series data based on the state-of-the-art HOG1D shape descriptor. Point-wise local structures were utilized in the alignment process; similarly-shaped structures are matched based on their levels of similarity. A generic alignment framework was provided by shapeDTW, which allows users to design the shape descriptors based on the data characteristics and domains. An enhanced shape descriptor representation called HOG1D-L was proposed based on two key concepts of the state-of-the-art HOG1D descriptor and linear regression. The proposed work on 84 UCR time series datasets was extensively tested and the results demonstrate that our approach can maintain or achieve better classification accuracy in most of the datasets.",
        "Classes": [
            "EE",
            "MATH"
        ]
    },
    "127": {
        "Title": "Ethanol Dehydration over WO3/TiO2 Catalysts Using Titania Derived from Sol-Gel and Solvothermal Methods",
        "Abstract": "\u00a9 2019 Anchale Tresatayawed et al.The present study aims to investigate the catalytic ethanol dehydration to higher value products including ethylene, diethyl ether (DEE), and acetaldehyde. The catalysts used for this reaction were WO3/TiO2 catalysts having W loading of 13.5 wt.%. For a comparative study, the TiO2 supports employed were varied by two different preparation methods including the sol-gel and solvothermal-derived TiO2 supports, denoted as TiO2-SG and TiO2-SV, respectively. It is obvious that the different preparation methods essentially altered the physicochemical properties of TiO2 supports. It was found that the TiO2-SV exhibited higher surface area and pore volume and larger amounts of acid sites than those of TiO2-SG. As a consequence, different characteristics of support apparently affected the catalytic properties of WO3/TiO2 catalysts. As expected, both catalysts WO3/TiO2-SG and WO3/TiO2-SV exhibited increased ethanol conversion with increasing temperatures from 200 to 400\u00b0C. It appeared that the highest ethanol conversion (ca. 88%) at 400\u00b0C was achieved by the WO3/TiO2-SV catalysts due to its high acidity. It is worth noting that the presence of WO3 onto TiO2-SV yielded a remarkable increase in DEE selectivity (ca. 68%) at 250\u00b0C. In summary, WO3/TiO2-SV catalyst is promising to convert ethanol into ethylene and DEE, having the highest ethylene yield of ca. 77% at 400\u00b0C and highest DEE yield of ca. 26% at 250\u00b0C. These can be attributed to proper pore structure, acidity, and distribution of WO3.",
        "Classes": [
            "CHE",
            "MATENG",
            "MATSCI"
        ]
    },
    "128": {
        "Title": "Sensitivity analysis techniques for the optimal system design of forward osmosis in organic acid recovery",
        "Abstract": "\u00a9 2018 Elsevier LtdAs the critical parameter, the operating conditions are able to define the system efficiency of forward osmosis (FO) process. In other words, to reach the optimal performance, the effective operation of FO process can be achieved by working on these optimal design parameters. In this work, to simulate the influence of each initial condition on FO process performance, sensitivity analysis technique was introduced to developed dynamic FO model, focused on both single and a mixture of two organic acid feed solutions, by NH4Cl as draw solution. As functions of operating variables, the FO membrane rejection and concentration performance of the system could precisely be defined via Levenberg\u2013Marquardt algorithm. The simulation results demonstrated that sensitivity analysis techniques can be practically applied as a guideline to design and modify any comparable FO processes by optimizing operating parameters to achieve the desirable performance in terms of both minimizing cost and maximizing efficiency.",
        "Classes": [
            "CHE",
            "IE",
            "MATH"
        ]
    },
    "129": {
        "Title": "Effects of framing on earthquake risk perception in Chiang Rai, Thailand",
        "Abstract": "\u00a9 2018, Fuji Technology Press. All rights reserved.The effects of framing are important to the perception of earthquake risk. This research investigated the effects of framing on the people\u2019s perception of earthquake risk in Chiang Rai, Thailand. There were three frames conveying the same earthquake risk but presented in different terms. These statements were in frequency terms of building damage: 475 severely damaged private buildings in 500 years, 10% chance of occurrence in 50 years, and one severely damaged private building per year. The objective of this research was to determine whether framing the same earthquake risk in different terms led to different perceptions of the risk by different people, leading to 1. what would be the most effective framing type regarding severely damaged private buildings, 2. which affected people\u2019s earthquake risk perception most, and 3. whether experiencing an earthquake disaster would change the risk perception of the residents. The result showed that presenting the risk as \u201cone severely damaged private building per year\u201d was the most commonly selected among the three frames and was statistically significant. This finding clarifies that short time frames influence people\u2019s earthquake risk decisions, and agencies can effectively use framing to communicate the earthquake risk to people in seismic regions to stimulate their earthquake preparedness and to reduce future earthquake risk. However, earthquake experience does not change the risk perception of the residents.",
        "Classes": [
            "CE",
            "PE",
            "EE",
            "SAFETY"
        ]
    },
    "130": {
        "Title": "Forecasting International Tourist Arrivals from Major Countries to Thailand",
        "Abstract": "\u00a9 2020, Springer Nature Singapore Pte Ltd.Tourism industry is one of the most important industries for Thai economy. This paper proposes and compares forecasting models for international tourism arrivals to Thailand. Since country-specific forecasting models can reflect the uniqueness of each country of origin, major countries for Thai tourism, namely China, Malaysia, Korea, Japan, and Russia are explored. The data used in this research is the number of international tourist arrivals from those countries recorded monthly from Jan 2013 to Sep 2018. The performance of the Seasonal Autoregressive Integrated Moving Average model (SARIMA) and the multiple regression model are evaluated in terms of Mean Absolute Percentage Error (MAPE). Several important economic factors such as income, price, exchange rate, and qualitative factors, represented by dummy variables of seasonal effect are explored to understand their effects on international tourism demand. The results show that the SARIMA is preferred to forecast international tourism arrivals from Malaysia, while multiple regression provides lowest errors for other interested countries.",
        "Classes": [
            "IE",
            "MATH"
        ]
    },
    "131": {
        "Title": "Tuning of catalytic behaviors in ethanol dehydration with oxygen cofeeding over Pd-HBZ catalyst for ethylene production at low temperature",
        "Abstract": "\u00a9 2020 Elsevier B.V.The catalytic ethanol dehydration with oxygen cofeeding over different pretreated Pd-HBZ catalysts was investigated. The catalyst was pretreated with different gas including air, nitrogen, and hydrogen. It was tested in ethanol dehydration in the presence and absence of oxygen cofeeding. It was significantly found that with the presence of oxygen cofeeding, the complete ethanol conversion was obtained at very low temperature (ca. 200 \u00b0C) and ethylene was a major product. This can be attributed to increased moderate and strong acid sites of catalyst by oxygen cofeeding. In addition, the different gas pretreatment seemed to have less effect on catalytic behaviors.",
        "Classes": [
            "ME",
            "CHE"
        ]
    },
    "132": {
        "Title": "Online Emerging Topic Detection on Twitter Using Random Forest with Stock Indicator Features",
        "Abstract": "\u00a9 2018 IEEE.Social media is one of the most impactful and fastest communication methods. By monitoring Twitter streams, we are able to detect emerging topics and understand events around the world. There are some prior attempts that aim to online detect topics on Twitter. However, they can only detect bursty topics by using user-defined keywords a long with simple rules. In this paper, we propose an algorithm to detect emerging topics on Twitter streams. To detect emerging topics, a clustering technique has been applied to aggregate a set of keywords. Since an emerging topic occurs continuously, the emerging topics are merged with stateful technique to accumulate topics from different time intervals. To detect both high signal topics and small-medium signal topics, we use statistical features based on average, acceleration, and z-score. Moreover, we propose to include the stock indicator features: Relative Strength Index (RSI) and Stochastic Oscillator (STOCH). They are common features in trend (oversold and overbought) detection in stock analysis which is similar to our topic detection in twitter. To capture any event patterns, Random Forest (RF) has been proposed as a classifier to detect emerging keywords by utilizing the stated above five features. To evaluate the performance, we created and published a corpus by collecting Twitter data for 10 days with over 80 million tweets and then labeling possible topics in tota1161 events along with related keywords. The experiment was conducted on our collected data. The Fl-results show that our model outperforms all baselines: TwitterMonitor, SigniTrend, and TopicSketch, in terms of detected keywords and topics.",
        "Classes": [
            "EE",
            "CPE"
        ]
    },
    "133": {
        "Title": "Recurrent neural networks for environmental sound recognition using scikit-learn and tensorflow",
        "Abstract": "\u00a9 2019 IEEE.In this paper, we perform comparison techniques for environmental sound classification with multilayer perceptron (MLP) and support vector machine (SVM), and deep learning using new machine learning platforms, i.e., Scikit-learn and Tensorflow, respectively. For feature-based classification, principal component analysis of short-time Fourier transform is used as our feature as the front end to MLP and SVM. For deep learning-based classification, convolution+pooling layers is acting as feature extractor from the input image, while fully connected layer will act as a classifier. Our experimental results show that our proposed deep neural network (DNN) models outperform the feature-based sound classification algorithms and the original deep learning work [1].",
        "Classes": [
            "EE",
            "CPE",
            "MATH"
        ]
    },
    "134": {
        "Title": "An investigation of saturated vapor pressure regarding low-volatility organophosphorus extractants Di-(2-ethylhexyl) phosphoric acid and tributyl phosphate: Correlation and thermodynamics study",
        "Abstract": "\u00a9 2018 Elsevier LtdNew saturated vapor pressure (psat) data of organophosphorus extractants, di-(2-ethylhexyl) phosphoric acid (D2EHPA) and tributyl phosphate (TBP), were investigated in T = (383.8\u2013546.2) K and psat = (0.13\u20136.67) kPa using vacuum distillation method. The data was found to be a good fit with Antoine, August, Riedel and Wagner equation. Regression constants prove to be very useful in estimating psat at operating temperature. Intermolecular hydrogen bonding affected D2EHPA having lower psat in comparison with TBP. Thermodynamic properties of both molar enthalpy and molar entropy of vaporization were obtained using the Clausius-Clapeyron equation. As temperature increased, molar enthalpy and molar entropy of vaporization decreased showing a positive deviation from Trouton's rule. Using the relations of molar enthalpy and temperature, saturated liquid heat capacity was obtained. All data can be usefully employed for the design of a distillation column or evaporator for recycling of both extractants from organic wastewater.",
        "Classes": [
            "ENV",
            "ME",
            "CHE"
        ]
    },
    "135": {
        "Title": "Forecasting Thailand's Precipitation with Cascading Model of CNN and GRU",
        "Abstract": "\u00a9 2019 IEEE.Precipitation prediction is necessary to use in water management, especially in Thailand, it can be applied for various ways, such as flood warning, agriculture planning, etc. There are many prior attempts to forecast rainfall from the rain-gauge station. Some deployed traditional machine learning approaches: ARIMA, k-NN, etc. Recently, deep learning approach has shown promising results in this task. However, the accuracy is still limited since the raining period throughout the year in Thailand is very scarce, so most rainfall amount is zero. In this paper, we propose to cascade two deep learning networks to tackle this problem: one is a classification model to classify whether it rains or not, and the other is a regression model to predict rainfall amount. Our network is a combination of CNN and GRU, where CNN aims to capture relationship between various sensors and GRU aims to capture time-series information. Furthermore, we also perform multi-step forecasting by applying a rolling mechanism that uses the predicted rainfall and involved features to predict the next 6 steps. The experiment was conducted on hourly rainfall dataset for 6 years (2013-2018) provided from the public government sector in Thailand. We use RMSE as performance metric to evaluate three periods of rainfall: Overall, Rain, and non-rain periods and the results show that our cascading model is the winner with only 4.53% in term of RMSE which is the average percentage of difference from over all regions.",
        "Classes": [
            "ENV",
            "EE",
            "MATH"
        ]
    },
    "136": {
        "Title": "Scenario planning for low carbon tourism city: A case study of NAN",
        "Abstract": "Copyright \u00a9 2018 Elsevier Ltd. All rights reserved.Industrialization alongside urbanization is proceeding rapidly in worldwide that tend to generate massive greenhouse gas emissions. The conflict among rapid urbanization and sustainable development will become increasingly serious. Moreover, the current model of urbanization looks unsustainable for transition to a low-carbon city. Ecotourism is one of the sustainable development approach for tourism city to achieve the low carbon city target. This concept provides many benefits to the environment, economies and local people, especially in developing countries in ASEAN, such as Cambodia, Laos, Vietnam, Malaysia, Indonesia and Thailand. Nan Province has been a popular tourist destination in Thailand over the past few years. Nan aimed to develop province to be ecotourism city and promoting sustainable natural resource management and conservation. This province risks failing to meet ecotourism target due to a rapid growth of tourism. In order to minimize the risks of ecotourism development in Nan, scenario planning was selected as an important tool to help Nan province to prepare and plan for the future development. Four scenarios were designed to present plausible alternative futures of Nan under particular assumption of key drivers and important uncertainties. STEEP analysis was selected to identify the key driving forces to include within the scenarios. In addition, the indicators for monitoring development of low carbon tourism city were also proposed.",
        "Classes": [
            "ENV",
            "IE",
            "SAFETY"
        ]
    },
    "137": {
        "Title": "Development of IT Helpdesk with Microservices",
        "Abstract": "\u00a9 2018 IEEE.Often, businesses employ technology in driving business growth. Many applications or systems have been introduced to organizations for process improvement and customer satisfaction. An IT helpdesk is the system that allows users to submit service requests for reporting problems or their requirements to IT teams for trouble shooting. This paper presents a design of IT helpdesk with microservice architecture to promote scalability of the system. The implementation includes the classification service that automatically categorizes tickets to the associated IT teams for support. The thesaurus database is utilized for clustering the request subjects. The benefits of the proposed approach would be to enable the scalability and fortify the availability of the system.",
        "Classes": [
            "IE"
        ]
    },
    "138": {
        "Title": "Preparation of hydrothermal carbon as catalyst support for conversion of biomass to 5-hydroxymethylfurfural",
        "Abstract": "\u00a9 2017 Elsevier B.V.Suitable hydrothermal carbonization conditions including temperature (180\u2013250 \u00b0C) and time (6\u201324 h) were determined for the preparation of glucose derived carbon material, used as a catalyst support for sugar and cellulose conversions. While hydrothermal carbons (HTCs) prepared at various conditions exhibited similar chemical and structural characteristics, examination of liquid fractions from hydrothermal carbonization provided additional evidence on the stability of the HTCs. The suitable hydrothermal carbonization condition was found to be 220 \u00b0C and 6 h, providing a stable carbon support that after sulfonation, yielded carbon-based acid catalyst (HTC220-6-SO3H) that exhibit relatively high catalytic activities for cellulose hydrolysis and fructose dehydration reaction, giving glucose and HMF yields of 43.63 \u00b1 1.62 wt.% and 20.29 \u00b1 1.09 wt.%, respectively.",
        "Classes": [
            "CHE",
            "MATENG"
        ]
    },
    "139": {
        "Title": "An Interoperable Building Energy Management System with IEEE1888 Open Protocol for Peak-Load Shaving",
        "Abstract": "\u00a9 2019 IEEE.A peak-load shaving is implemented for a Building Energy Management System (BEMS). The IEEE1888 open protocol is adopted to facilitate the interoperability capability through the TCP/IP network. The data structure is determined by the Facility Information Access Protocol (FIAP). The operation of equipped Battery Energy Storage System (BESS) is optimized from the analytical load-forecast model. The peak-load-shaving application is developed with a 15-minute on-line processing. The real-world BEMS is demonstrated by a test-bed building at Chulalongkorn University, Thailand; where the significant loads are the distributed air-conditioning systems. Experimental results are gathered; the work-day load forecast is conducted for two weeks and the optimized operation of a 5.76 kW/ 14.4 kWh BESS is examined accordingly, and up to 4 kW of peak load is successfully shaved out of 50-kW peak demand.",
        "Classes": [
            "PE",
            "ME",
            "EE",
            "CPE"
        ]
    },
    "140": {
        "Title": "A development of a prediction model for ungauged catchment in the north of Thailand",
        "Abstract": "\u00a9 2018 Association for Computing Machinery.Flow data are essential for hydrological study, planning, and management to prevent drought and flood in a region. In catchments where flow data are not recorded or of poor quality, hydrological indices could be an alternative for predicting flow in ungauged catchments. This study demonstrates the methodology for predicting flow in ungauged catchments through the case study of 37 sub-catchments of the upper Ping catchment in northwest Thailand from 2006-2014. The regression method was applied to investigate the relationship between three flow indices including runoff coefficient, base flow index, and 95th percentile of flow, and catchment properties. The prediction interval of the regression relationship was used to condition rainfall-runoff model parameters. The model performance was tested by NSE\u2217 and reliability. The 95th percentile of flow was found to be the most informative index to regionalize flow followed by RC. The BFI had least contribution to the prediction of flow with poor NSE\u2217 and large uncertainty. The 95th percentile of flow and RC generally worked well for small sub-catchments.",
        "Classes": [
            "ENV",
            "MATH"
        ]
    },
    "141": {
        "Title": "Surface-Dependence of Adsorption and Its Influence on Heterogeneous Photocatalytic Reaction: A Case of Photocatalytic Degradation of Linuron on Zinc Oxide",
        "Abstract": "\u00a9 2018, Springer Science+Business Media, LLC, part of Springer Nature.Abstract: This work systematically investigates a discrepancy in photocatalytic degradation pathway observed even when same kind of photocatalyst is used. This issue is particularly important for the degradation of toxic compound because the shifting in the pathway may result in intermediates having increased toxicity. Linuron, which is a toxic herbicide, is used as a model compound and zinc oxide (ZnO) is used as a catalyst. Two forms of ZnO having different exposing surfaces, i.e., conventional particles and nanorods are considered. It is experimentally shown and confirmed by molecular simulation that the adsorption and subsequent degradation are surface dependent. The adsorption capacity of linuron on polar surfaces of ZnO is much higher than that on non-polar surface. More importantly, alignments of linuron molecule adsorbing on different surfaces are different, leading to formation of different degradation intermediates. The degradation takes place on both aliphatic and aromatic sides when linuron adsorbs on polar surfaces whereas only the aliphatic part is attacked by hydroxyl radicals on the non-polar mixed terminated surface. The results in this work indicate that the exposing surface of the photocatalyst is the key factor in determining the degradation pathway and it should be considered in the catalyst design. Graphical Abstract: [Figure not available: see fulltext.].",
        "Classes": [
            "METAL",
            "NANO",
            "CHE",
            "MATSCI"
        ]
    },
    "142": {
        "Title": "A Highly Sensitive SPR Refractive Index Sensor Based on Microfluidic Channel Assisted with Graphene-Ag Composite Nanowire",
        "Abstract": "\u00a9 2021 BMJ Publishing Group. All rights reserved.A highly sensitive refractive index (RI) sensor based on a microfluidic channel (MFC) incorporated in a single-mode fiber (SMF), filled with Ag-graphene composite nanowire is presented and analyzed here. The sensing performance and the coupling properties of designed sensor are numerically analyzed by using a full vectorial finite element method (FEM) incorporating amplitude and wavelength interrogation techniques in the detection range varied from ${n_a}$ = 1.330-1.350. The maximum wavelength and amplitude sensitivity are obtained of 13700 nm/RIU and 1026 RIU-1, respectively. Here, the Ag-graphene composite nanowire can not only solve the problem of oxidation but also enhances the sensitivity of the sensor. In addition of high sensitivity, it also provides better performance than other sensing devices based on similar technologies such as Ag nanowire-filled sensors. Moreover, the influences of polishing depth (D), nanowire radius (rn), graphene layer (Lg) and channel size (s) on the designed sensor, are also thoroughly investigated here. The present work can provide a base for designing a real-time, highly sensitivity, remote sensing, and distributed SPR based RI sensor.",
        "Classes": [
            "ME",
            "OPTIC",
            "NANO",
            "CHE",
            "MATSCI"
        ]
    },
    "143": {
        "Title": "Scaling Network Traffic Logger with Microservice Architecture",
        "Abstract": "\u00a9 2018 IEEE.Over the past few years, many large organizations evolve their technology stack to Microservices, also known as the microservice architecture. Although the traditional monolithic architecture is still a good choice for many applications, it does have limitations in scalability. A change made to a small part of the application also requires the entire monolith to be rebuilt and deployed. This makes it harder to maintain a good modular structure over time. This paper thus presents a design of network traffic logger using the microservice architecture. Based on the scaling model, scale cube, each service can be individually scaled, with the result being that the application is scaled more efficiently. The preliminary study was carried out for performance evaluation. The results show that the microservice-based logger yields less query times on Radius log retrieval, compared to the monolithic.",
        "Classes": [
            "CPE"
        ]
    },
    "144": {
        "Title": "A Development on Asset Management System for Distribution Power Transformers",
        "Abstract": "\u00a9 2021 IEEE.Transformers are the most important equipment in the electrical system. Their lifetime is scoped in this study. It normally depends on load capacity and can be approximately predicted. A Development Distribution Power On Asset Management System Transformers uses statistic For evaluation and lifetime assessment on each spare part composed in a transformer. The statistic evaluation such as Normal distribution, Weibull distribution, log-normal and Gumbel distribution were applied. An appropriated statistic evaluation was selected to determine the suitable failure time on each spare part. Normal distribution was used for self-restoring insulation such as liquid gas breakdown. Weibull distribution was used for solid insulation breakdown. The advantage from this work can reduce maintenance cost and precisely determine the lifetime. The results present the next maintenance with the specified part.",
        "Classes": [
            "EE",
            "IE",
            "MATH"
        ]
    },
    "145": {
        "Title": "Foliage houseplant responses to low formaldehyde levels",
        "Abstract": "\u00a9 2018 Elsevier LtdHouse plants are reported to \u2018clean\u2019 formaldehyde from indoor environments and thus reduce its deleterious health effects. We measured formaldehyde removal rates at concentrations similar to those caused by new furniture or office photocopiers. We also measured CO2 and humidity changes, counted the stomata density and monitored leaf color and shape changes. Controls were an artificial polyester \u201cfern\u201d and methanol as the VOC. All plants reduced formaldehyde from 0.75 ppm to below 0.2 ppm in six hours. The plants fall into two major groups with different responses: one group showed high removal rates: Boston fern (0.85 m h\u22121), golden pothos (0.41 m h\u22121), Spanish moss (0.44 m h\u22121) and spider plant (0.40 m h\u22121) - faster than the artificial fern (0.09 m h\u22121). They also show no change in color and appear to completely assimilate formaldehyde. Another group absorbed formaldehyde at a significantly lower rate (dumb cane: 0.07 m h\u22121; aloe vera: 0.17 m h\u22121; and Chinese evergreen: 0.09 m h\u22121) and had a generally different overall behavior from the \u2018fast\u2019 group - different CO2, humidity and variance changes - suggesting a different formaldehyde absorption mechanism. An \u2018intermediate case\u2019, snake plant (0.29 m h\u22121), has a slower rate than the fast group but also exhibited other changes, suggesting some combination of both mechanisms. Overall good correlations between formaldehyde uptake rates and stomata counts, total leaf area and water evapotranspiration rates were shown by all these plants.",
        "Classes": [
            "ENV",
            "CHE"
        ]
    },
    "146": {
        "Title": "Preparation of aluminum magnesium oxide by different methods for use as PtSn catalyst supports in propane dehydrogenation",
        "Abstract": "\u00a9 2019Various magnesium aluminum oxides [Mg(Al)O] were prepared by physical mixing, hydrothermal, and solvothermal method (with and without calcination) and employed as supports for bimetallic PtSn catalysts for propane dehydrogenation. The use of non-calcined Mg(Al)O-sv obtained from the solvothermal method led to the highest Pt dispersion, the lowest fraction of strong acid sites, and the lowest metallic tin species as well as coke content. Unlike the other catalysts that gradually deactivated with time-on-stream, the PtSn/Mg(Al)O-sv maintained high propylene yield \u02dc26.9% during 5 h reaction time without any sign of catalyst deactivation. The improved catalyst performances were attributed not only to the high surface area flower-like nanosheet structure of the Mg(Al)O-sv but also the uniform Mg-O-Al bonding and high Al/Mg atomic ratio on the catalyst surface as confirmed by the XPS results.",
        "Classes": [
            "METAL",
            "CHE"
        ]
    },
    "147": {
        "Title": "Centralized Market Platform for Electric Vehicles in Residential Distribution Systems",
        "Abstract": "\u00a9 2023 IEEE.The number of electric vehicles (EVs) tends to increase steadily on a global scale. This causes the challenges in energy market for EVs in terms of electricity costs and technical effects on distribution systems. This paper proposes a centralized market platform managed by a distribution system operator (DSO) to determine the appropriate and appealing electricity costs for charging an EV without violating the power system's limits: bus voltage level, line capacity, and transformer loading limits. To complete the operations of the centralized market platform, the EV power and the bidding price from each EV owner who wishes to participate in the centralized market platform are collected through a single auction. The electricity costs for charging an EV are calculated by taking into account the maximum EV power as determined by the DSO so that the power system' limits are not violated. This paper modifies and employs a Thailand-typical 380-V distribution test system during off-peak and peak hours for the case study. The results show that during off-peak hours, the electricity costs for charging an EV range between 2.40 and 2.50 THB/kWh, while during peak hours, the electricity costs range between 3.50 and 5.40 THB/kWh. The decrease in EV charging costs will encourage EV owners to utilize their EVs.",
        "Classes": [
            "EE",
            "IE"
        ]
    },
    "148": {
        "Title": "Performance of a geosynthetic cementitious composite mat for stabilising sandy slopes",
        "Abstract": "\u00a9 2019 Thomas Telford Ltd.In recent years, there has been much research interest in soil erosion and slope failure due to seepage and rainfall, especially toward finding new technologies/materials with which to stabilise soil slopes. Many geosynthetic materials have been developed to stabilise soil slopes while also being environmentally friendly and convenient for construction. In this study, the performance of a novel geosynthetic cementitious composite mat (GCCM) is studied regarding its ability to stabilise soil slopes. Physical model tests are performed on sandy soil slopes under seepage conditions both with and without GCCM stabilisation. Particle image velocimetry is used to measure the soil displacement, and standpipe piezometers are used to monitor the pore water pressure of the slope. The results show that the slope displacement with GCCM stabilisation is much smaller than that without it. The presence of the GCCM constrains the displacement near the slope surface to being along the slope, whereas without the GCCM the slope can deform freely especially in the middle to upper zone of slope area. The results indicate that the GCCM performs well at slope stabilisation.",
        "Classes": [
            "ENV",
            "PE",
            "ME",
            "MATSCI"
        ]
    },
    "149": {
        "Title": "Event-B formalization of basic supply chain patterns",
        "Abstract": "\u00a9 2018 IEEE.In recent years, as supply chains are increasingly becoming more valuable and dynamic, a large variety of compliance with high quality is needed for total safety and reliability. Several business process models were proposed to cope with the increasing risk and complexity of the supply chain operations and events, especially when the unexpected events, caused by the time dependent behaviors, occur. Formal verification approach becomes more interesting choice as the preventive checking of the safety and correctness of a real-time system specification from the very beginning of the design phase. In practice, a timed Petri net as a formal model is commonly used to graphically illustrate the time dependent behaviors of a real-time system. However, the simulation of the timed Petri net is tedious and inefficient for verifying the huge and complex realtime system. Alternatively, Event-B formalization approach provides an efficient and better automatic proving tool, whilst the writing Event-B specification from scratch needs the designer with the mathematical logic backgrounds. In this paper, we still encourage the drawing of an ordinary timed Petri net (OTPN) as a formal model of the supply chain events which is easier and more understandable in the first place. Moreover, we expect that several basic supply chain event patterns, as building blocks of ordinary timed Petri net notations, would help ease the construction of the formal model of the complex production processes. We hereafter propose a mean to transform the given ordinary timed Petri net of the supply chain event patterns into a complete Event-B specification which will be automatically proved by an Event-B prover called Rodin.",
        "Classes": [
            "CPE",
            "EDU",
            "IE",
            "SAFETY",
            "MATH"
        ]
    },
    "150": {
        "Title": "Application of data mining software to predict the alum dosage in coagulation process: A case study of Vientaine, Lao PDR",
        "Abstract": "\u00a9 2018 The authors and IOS Press. All rights reserved.This paper presents an alum dosage prediction in coagulation process by using Weka Data Mining Software. The data in this research had been collected from Dongmarkkaiy Water Treatment Plant (DWTP), Vientiane capital, Laos PDR from 1st January 2008 to 31st October 2016. The total number of collected data were 2,891 records. In this research, we compared the results from multilayer perceptron (MLP), M5Rules, M5P, and REPTree method by using the root mean square error (RMSE) and mean absolute error (MAE) value. Three input independent variables, i.e. turbidity, pH, and alkalinity were used. The dependent variable was alum added for the coagulation process. Our experimental results indicated that the MLP method yielded the highest precision method in order to predict the alum dosage.",
        "Classes": [
            "ENV",
            "EE",
            "CPE",
            "CHE",
            "MATH"
        ]
    },
    "151": {
        "Title": "Optimization of Fiber-Reinforced Polymer Patches for Repairing Fatigue Cracks in Steel Plates Using a Genetic Algorithm",
        "Abstract": "\u00a9 2020 This work is made available under the terms of the Creative Commons Attribution 4.0 International license,.A practical design optimization of fiber-reinforced polymer (FRP) patches for repairing fatigue cracks in metallic structures is presented. The design procedure combines finite-element (FE), genetic programming (GP), and genetic algorithm (GA) approaches. An optimum patch design is defined as the combination of design parameters that simultaneously minimizes the patch volume and reduces the stress intensity factor (SIF) range below the fatigue threshold range. A patching correction factor, which accounts for the positive effects of material and geometric properties of the patch and adhesive layer on the SIF solution, is proposed. The correction factor is developed by performing symbolic regression via GP analyses on the SIF values obtained from the three-dimensional FE models. The closed-form SIF solution facilitates the visualization of the effects of design parameters, simplifies the calculation of fatigue life, and reduces the computation effort for design optimization. An example of the center-cracked steel plate subjected to constant amplitude fatigue loading and then repaired with double-sided adhesive-bonded FRP patches is used to illustrate the optimization procedure.",
        "Classes": [
            "CE",
            "CPE",
            "MATENG",
            "IE",
            "MATSCI"
        ]
    },
    "152": {
        "Title": "Improving short text classification using fast semantic expansion on multichannel convolutional neural network",
        "Abstract": "\u00a9 2018 IEEE.Nowadays, text classification is recognized as one of crucial tools for business users to gain more insights from customers. However, textual data from customers such as comments are usually short. Thus, there are two main issues in short text categorization: (1) insufficient contextual information and (2) noisy data due to misspellings. Recently, there is a prior attempt to propose a deep learning approach for short text categorization by expanding semantic using word embeddings clustering via an algorithm based on density peaks searching. Since the number of words in word embeddings is usually large, the clustering algorithm does not scale with the size of data set, thus demanding unacceptable computational cost. In this paper, we aim to propose a fast short-text categorization framework. Rather than using a CNN with k-max pooling layer, we propose to use a faster version of Convolutional Neural Network (CNN) called 'multichannel CNN.' To speed up the semantic expansion process, we propose to employ mini batch K-Means++, which is considerably faster and scales well with the size of data set. Furthermore, we also introduce an additional preprocessing step to increase vocabulary coverage rate on word embeddings. We conducted experiments on four public data sets: Google Snippets, TREC, MR, and Subj. The results showed that the proposed framework does not only improve an accuracy on all data sets, but also reduces computational costs from several days to a few hours.",
        "Classes": [
            "EE",
            "CPE",
            "EDU"
        ]
    },
    "153": {
        "Title": "Photovoltaic Power Generation Forecast by Using Estimator Model and Kalman Filter",
        "Abstract": "\u00a9 2019 IEEE.This paper presents an approach to forecast photovoltaic (PV) power generation by using Kalman filter and Auto Regressive Integrated Moving Average (ARIMA). This method is suitable for real time forecast with high resolution time step and we use it to forecast for five-minute time step in this paper. However, Kalman filter requires real time measurement data to adjust forecast value, hence we propose an estimator model to help this approach to perform reliable forecast even when real time measurement data is unavailable. The dataset for building estimator model is set of historical data of power generation from neighbor PV rooftops and distance between PV rooftops. We use ARIMA model to estimate transition matrix for running Kalman filter. The performance of the test is measured by the Root Mean Square Error (RMSE) and Skill Score (SS). The obtained result shows that ARIMA model has lower accuracy compared to Kalman filter and estimator model. The real time data estimation from the estimator model can be used in Kalman filter to forecast PV power generation with good accuracy.",
        "Classes": [
            "MATH"
        ]
    },
    "154": {
        "Title": "Wheeling charge considering line flow differentiation based on power flow calculation",
        "Abstract": "\u00a9 2018 IEEEIndustrial estates in Thailand, which are usually connected to distribution systems, allow power producers to directly negotiate with their own customers. Therefore, distribution utilities have to calculate wheeling charges with fairness and transparency. This paper proposes a concept of wheeling charge calculation based on \"power flow based MW-Mile method\" with the consideration of differentiation of line flow magnitude before and after the power transaction. The results show that the proposed concept computes the different wheeling charge against existing power flow based MW-Mile method and can reflect an increase or decrease of line flow due to power transaction.",
        "Classes": [
            "EE"
        ]
    },
    "155": {
        "Title": "Nonlinear model predictive control of inverted pendulum using iterative steepest descent algorithm",
        "Abstract": "\u00a9 2018 IEEEThis paper presents nonlinear model predictive control (NMPC) for nonlinear systems and apply to the inverted pendulum. There is distinction between the optimal control and NMPC. The optimal control aims to minimize the cost function over the finite horizon and applies the control input to the system. On the other hand, NMPC employs the state feedback and updates the control input at each time step. At each sampling time, the control design of NMPC is formulated as a two-point boundary-value (TPBV) problem. When the optimal control law is calculated, only the first control input is applied to the controlled system. We employ an iterative steepest descent algorithm to solve the TPBV problem. Numerical results show comparison between the optimal control and NMPC applied to the inverted pendulum.",
        "Classes": [
            "CPE",
            "MATH"
        ]
    },
    "156": {
        "Title": "Assessment of heat-to-power ratio in a bio-oil sorption enhanced steam reforming and solid oxide fuel cell system",
        "Abstract": "\u00a9 2019 Elsevier LtdA solid oxide fuel cell (SOFC) is a high-efficiency technology for combined heat and power (CHP) generation. Heat and power production can be varied according to changes in heat and power loads, which affect the electrical and thermal efficiencies. This study analyzes changes in heat and power production rates of a bio-oil sorption enhanced steam reforming (SESR) and SOFC system. The variations in the stack-to-burner ratio (bio-oil split fractions), fuel utilization factor (Uf), and recirculation ratio (R) are investigated. The effect of heat-to-power ratio on the system performance and CO2 capture efficiencies is also studied. Moreover, the benefit of the implementation of a bio-oil SESR and SOFC system over a conventional operation to match the energy demand for an industrial case is evaluated. The results reveal that an increase in Uf decreases the operating range of the heat-to-power ratio. On the other hand, the anode gas recirculation ratio affects such a parameter when the system performs at the high stack-to-burner ratio. A higher heat-to-power ratio increases the stack electrical and thermal efficiencies, leading to a higher CHP efficiency. The heat-to-power ratio of the proposed system varies between 0.05 and 7.5. However, to attain a CO2 capture efficiency higher than 50%, the heat-to-power ratio should be lower than 1.5. By comparing the two operational strategies: fixed heat-to-power ratio, and variable heat-to-power ratio, it is found that the heat-to-power ratio is an important factor for energy management. The primary energy saving is enhanced when the system is operated to satisfy the rates of heat and power demand.",
        "Classes": [
            "PE",
            "ME",
            "EE",
            "CHE"
        ]
    },
    "157": {
        "Title": "Unscented Kalman Filter for State of Charge Estimation of Lithium Titanate Battery",
        "Abstract": "\u00a9 2023 IEEE.An accurate estimation of the state of charge (SoC) of lithium titanate (LTO) batteries is required for their effective operation and management. In this study, we propose an unscented Kalman filter (UKF) approach for estimating the SoC of LTO batteries, which are challenging to assess due to the nonlinear voltage-SoC relationship and aging impact. Our approach uses a state and measurement model based on LTO's electrochemical characteristics and employs sigma points and weights to address nonlinearities. According to the findings of our research, the UKF-based methodology has high accuracy, rapid convergence, and resilience to discharge rate, outperforming or matching the capabilities of existing state-of-the-art approaches. This work provides a novel and effective solution for LTO battery SoC estimation, useful for applications in electric vehicles, energy storage, and smart grid energy systems.",
        "Classes": [
            "PE",
            "EE"
        ]
    },
    "158": {
        "Title": "Simple and effective technology for sustainable biodiesel production using high-power household fruit blender",
        "Abstract": "\u00a9 2019A commercial household fruit blender is proposed as a simple, less time-consuming, and effective biodiesel production technique in this research work. Biodiesel was successfully produced in a 1200 W commercial household fruit blender. Due to the synergistic effect derived from the very high rotational speed of the blender blades integrated with micro-mixing level from cavitation phenomena, heat and mass transfer became greatly enhanced. The vigorous stirring inherently increased the temperature of the methanol-oil mixture to greater than 60 \u00b0C in less than 3 min, thus, a provision of external heating was not required. With a methanol to fresh refined palm oil molar ratio of 6:1 and 1 wt% sodium hydroxide catalyst, the FAME yield of 94.5% can be achieved in less than 3 min with the yield efficiency of 33.8 \u00d7 10\u22124 g/J for 500 mL of reaction volume. For 1000 mL of reaction volume at 1 min of reaction time, the FAME yield of 79.9% can be achieved with the yield efficiency of 122.3 \u00d7 10\u22124 g/J. Properties of the produced FAME comply with the EN 14214 and ASTM D 6751 standards. In conclusion, these results indicate that a high-power commercial household fruit blender can be utilized to produce biodiesel economically and effectively.",
        "Classes": [
            "PE",
            "ME",
            "CHE",
            "AGRI",
            "IE"
        ]
    },
    "159": {
        "Title": "Bifunctional Catalyst NiFe-MgAl for Hydrogen Production from Chemical Looping Ethanol Reforming",
        "Abstract": "\u00a9 2021 American Chemical Society.Ethanol, especially that produced from biomass, is considered as a renewable and carbon-neutral candidate to produce hydrogen. Performances of NiFe-MgAl bifunctional catalysts, in terms of activity, stability, and regenerability, in chemical looping reforming (CLR) of ethanol were studied. The NiFe-MgAl bifunctional catalysts were prepared from hydrotalcite-like compounds by the co-precipitation method. Various characterization techniques, that is, X-ray diffraction, inductively coupled plasma, nitrogen adsorption/desorption, H2-temperature-programmed reduction, and transmission electron microscopy, were used to determine properties of fresh and spent catalysts. In addition, O2 temperature-programmed oxidation, scanning electron microscopy, and Raman analyses were used for observation of coke formation on the spent catalysts. Meanwhile, in situ diffuse reflectance infrared Fourier transform spectroscopy can verify the evolution of the catalyst during the reactions. It was observed that the NiFe-MgAl catalyst showed higher catalytic activity and stability than the monometallic Fe-MgAl and Ni-MgAl catalysts. More specifically, the NiFe-MgAl catalyst provided the highest H2 concentration up to 80% at a low reaction temperature of 500 \u00b0C. This high performance was ascribed to the formation of Ni-Fe alloy particles. The combination of pulse experiments and X-ray photoelectron spectroscopy analysis elucidated that the iron particle at the surface was in the form of FeO that can oxidize the carbon deposits, resulting in the suppression of coke formation. In addition, the NiFe-MgAl catalyst can maintain high hydrogen selectivity for 10 repeated cycles.",
        "Classes": [
            "PE",
            "METAL",
            "OPTIC",
            "CHE",
            "MATSCI"
        ]
    },
    "160": {
        "Title": "Silver decorated reduced graphene oxide as electrocatalyst for zinc\u2013air batteries",
        "Abstract": "\u00a9 2020 by the authors.Due to their low cost and very high energy density, zinc\u2013air batteries (ZABs) exhibit high potential for various energy applications. The electrochemical performance of the air-cathode has a decisive impact on the discharge performance of ZABs because the sluggish oxygen reduction reaction (ORR) kinetics increase the overpotential of the air-cathode and hence the performance of ZABs. In this work, reduced graphene oxide decorated with silver nanoparticles (AgNP/rGO) is synthesized using simultaneous reduction of graphene oxide and silver ions. Different amounts of silver loading are examined for the synthesis of AgNP/rGO. The synthesized AgNP/rGO samples are analyzed using a rotating disk electrode in order to investigate ORR activity. Then, the synthesized AgNP/rGO electrocatalyst is applied on a tubular designed zinc\u2013air battery in order to study the performance of the zinc\u2013air battery. Results demonstrate that AgNP/rGO is an efficient and cost-effective ORR electrocatalyst for its practical application in ZABs.",
        "Classes": [
            "METAL",
            "EE",
            "NANO",
            "CHE",
            "IE"
        ]
    },
    "161": {
        "Title": "Miniaturized Hybrid Couplers Using Quarter- Wave-Like Transformers",
        "Abstract": "\u00a9 2018 KIEES.This paper presents the miniaturization of a hybrid coupler for microwave frequency. The size reduction is achieved by the use of quarter-wave-like transformers (QWLTs) implemented by properly designed conjugately characteristic-impedance transmission lines (CCITLs). The QWLT has a shorter physical length than the conventional quarter-wave transformer (QWT) for matching the same impedance. The 25% size reduction has been achieved for the present hybrid coupler without significant performance degradation. The miniaturization of a hybrid coupler can consequently reduce the size of the circuit composing it, and thus possibly decreasing the manufacturing cost.",
        "Classes": [
            "EE"
        ]
    },
    "162": {
        "Title": "Minimized Financial Losses Due to Interruptions and Voltage Sags with Consideration of Investment Cost",
        "Abstract": "\u00a9 2019 IEEE.This paper presents an analysis of minimized financial losses due to interruptions and voltage sags with consideration of investment cost. The Modified RBTS Bus 2 test system was used for simulations and Information Technology Industry Council (ITIC) curve was assumed to be a voltage tolerance curve for sensitive industrial customers. Two types of lines were considered: overhead lines and underground cables. Monte-Carlo simulations were used to simulate faults on lines in the Modified RBTS Bus 2 test system. Numbers of unacceptable interruptions and voltage sags were estimated from fault simulations. Results showed that changing certain overhead lines to underground cables can yield minimized financial losses due to interruptions and voltage sags with consideration of investment cost.",
        "Classes": [
            "EE",
            "CPE",
            "IE",
            "MATH"
        ]
    },
    "163": {
        "Title": "Heuristic based scheduling for tablets film coating process",
        "Abstract": "\u00a9 2018 Association for Computing Machinery.In the pharmaceutical industry, tablets film coating planning concerns a finding of coating sequences on parallel machines such that both the completion time and number of tardy jobs are minimized. This problem is made more difficult when a wide variety of drugs is produced as changing from one to another drug requires considerably long period of cleaning and setup times - these times also vary depending on the previously coated drug. We show that this problem could be transformed into the Vehicle Routing Problem with Time Window (VRPTW), where a variable arc exch an ge heur istic - whose concep t is based on the Variable Neighborhood Search (VNS) - is devised to solve such a problem. Our proposed heuristic is a two-phase one, where the initial solutions are constructed from easy-to-implement dispatching heuristics, i.e. Earliest Due Date (EDD) and Longest Processing Time (LPT). The initial solution is then iteratively improved by a series of local-search operators, including 2OPT, RELOCATION, and SWAP. The results from our proposed heuristic is comparatively good, when compared to those of the optimization model in terms of solution quality as the gap is less than 5% for instances of 20 orders; but, it requires much less computation time, which is crucial from a practical point of view.",
        "Classes": [
            "MATENG",
            "MATH"
        ]
    },
    "164": {
        "Title": "Early Stress Detection in Plant Phenotyping using CNN and LSTM Architecture",
        "Abstract": "\u00a9 2021 IEEE.In order to ensure the availability of food in the future, plant stress identification is one of the crucial tasks used in plant phenotyping to develop better crops. In this research, we use a convolution neural network (CNN) combined with LSTM to identify the early state of plant stress caused by a deficiency of nutrients. We use a treatment study dataset of sorghum (S. bicolor) which consists of more than 40,000 images of growing sorghum images captured in the phenotyping facility in 3 views. The experiment studies plant growing under 3 treatment conditions: 100/100 (100% ammonium/100% nitrate), 50/10, and 10/10. The network is divided into two parts: the features extraction and classification network. VGG16 with pre-trained weights from the ImageNet dataset is used as the feature extractor. LSTM cell with multi-layer perceptron (MLP) is used to classify extracted features to determine the stress of the plants after subjected to the stressor. The result revealed that the network can detect the stress at the accuracy of more than 85% at 2 days after plants subjected to the stressor treatment.",
        "Classes": [
            "EE"
        ]
    },
    "165": {
        "Title": "Potential of carbon dioxide storage from petroleum industries in the Gulf of Thailand for green production",
        "Abstract": "\u00a9 2018 Published under licence by IOP Publishing Ltd.Recently, climate change and global warming are the global concern because of an increase in the huge amount of carbon dioxide (CO2) in the atmosphere. This gas comes from energy activities and industries like petroleum industries. Carbon capture and storage (CCS) is the practical technology to reduce and storage CO2. In Thailand, one of the main potential sites for storage is the Gulf of Thailand. However, the research on this issue is very rare in Thailand. Consequently, this work is aiming on the potential study of CO2 geological storage in formations in the Gulf of Thailand by using simulation. The CO2 storage capacity, pressure buildup and plume migration have been estimated. Also, this study has been simulated with various conditions. CO2 injection is used from 1,000-4,000 tons per day with the depth from 2,200-2,330 meters and the results are studied for 50 years as a monitoring period. The results present that with the formation characteristics, CO2 storage in this area has potential. Moreover, pressure buildup and plume migration are illustrated for the period of 50 years. As a fundamental knowledge, this study can contribute to CO2 storage in an offshore area in Thailand.",
        "Classes": [
            "ENV",
            "CHE"
        ]
    },
    "166": {
        "Title": "Analysis of cutting-oil emulsion destabilization by aluminum sulfate",
        "Abstract": "\u00a9 2017 Informa UK Limited, trading as Taylor & Francis Group.The destabilization mechanism of the high stable cutting-oil emulsion by aluminum sulfate (Al2(SO4)3) was investigated since it can affect properties of aggregates and following separation units. Al2(SO4)3 dosage and pH were key factors in the destabilization. The effective separation occurred when precipitated Al(OH)3 is dominated at the neutral pH of 6.5\u20137.0. The best separation can be achieved when solid flocs were formed at 1.0 mM, which exceeded the dosage from the critical coagulation concentration (CCC) of 0.75 mM. Two different mechanisms were proved for the emulsion destabilization depending upon the Al3+ concentration under this pH range. The first mechanism was the adsorption of Al(OH)3 on surface of oil droplets, which led to the droplet coalescence. By increasing the Al3+ dosage, the sweep flocculation by Al(OH)3 precipitates occurred. Al3+ dosage for effective destabilization was increased in accordance with oil concentration. The formation of aluminum hydroxide precipitates in bayerite structure was affirmed by analyzing elemental composition and crystalline structure of flocs from the destablization.",
        "Classes": [
            "CHE"
        ]
    },
    "167": {
        "Title": "A Matrix Decomposition Method for Odd-Type Gaussian Normal Basis Multiplication",
        "Abstract": "\u00a9 2018 IEEE.Normal basis is used in many applications because of the efficiency of the implementation. However, most space complexity reduction techniques for binary field multiplier are applicable for only optimal normal basis or Gaussian normal basis of even type. There are 187 binary fields GF 2k for k from 2 to 1,000 that use odd-type Gaussian normal basis. This paper presents a method to reduce the space complexity of odd-type Gaussian normal basis multipliers over binary field GF 2k. The idea is adapted from the matrix decomposition method for optimal normal basis. The result shows that our space complexity reduction method can reduce the number of XOR gates used in the implementation comparing to previous works with a small trade-off in critical path delay.",
        "Classes": [
            "CPE",
            "MATH"
        ]
    },
    "168": {
        "Title": "Development of software-defined mesh network emulator testbed for DDoS defence study",
        "Abstract": "\u00a9 2019 IEEE.This paper has proposed to develop a software-defined mesh network emulator testbed in order to study a network defense against a DDoS attack. By using SDN, virtual switches can be reprogrammed to drop attacker traffics at the earliest possible locations. This is advantageous in comparison with the current industrial practice whereby only a firewall sitting at the network domain border or a gateway can perform such dropping action. The testbed uses the GNS3 platform where OVS switches are constructed and controlled by the Opendaylight controller. A simple Linux script has been developed herein to instantiate a distributed ping attack from all possible starting switches to a victim gateway with the DDoS intention. The numerical example reported here shows TCP and UDP throughputs, round-trip time as measurable by emulated network users to demonstrate the application of SDN in resolving the attacking adverse effects.",
        "Classes": [
            "CPE"
        ]
    },
    "169": {
        "Title": "Design and Optimisation of a Power Efficient High-Altitude Platform for Equatorial Operation",
        "Abstract": "\u00a9 2018 IEEE.High-altitude Platform (HAP) is an aircraft cruising in stratosphere for surveillance and telecommunication. There are three main types of HAPs: a fixed wing aeroplane, an airship, and a balloon. This study aims at designing an unmanned solar-powered aeroplane for communication, functioning as a satellite. The values of solar radiation power on the equinox, summer solstice and winter solstice were estimated as well as a required power from each mission profile. Those values of the required power and the available one were used as constraints for a required solar cell area and a required battery capacity. Then, the wing planform was sized. To optimise the wing, three aerofoils with different tip dihedral angles were simulated with ANSYS so that the one with the optimal rolling, pitching and yawing moments could be selected. The mass of each aircraft component was later estimated, tail was sized based on those masses and their locations. The static margin was calculated to validate the tail sizing with the HAP centre of mass. The verification of power consumption was also performed by a simulation of the whole aircraft. The final conceptual HAP model is equipped with 19.5-aspect-ratio Eppler 397 wing with an angle of incidence of 5 degrees and tip dihedral angle of 8 degree at 7.5 metres from the longitudinal centre line.",
        "Classes": [
            "ENV",
            "EE"
        ]
    },
    "170": {
        "Title": "Effects of ferrihydrite-impregnated powdered activated carbon on phosphate removal and biofouling of ultrafiltration membrane",
        "Abstract": "\u00a9 2021 by the authors. Licensee MDPI, Basel, Switzerland.The presence of multiple contaminant species in surface waters makes surface water treatment difficult to accomplish through a single process. Herein, we evaluated the ability of an integrated adsorption/ultrafiltration (UF) membrane filtration system to simultaneously remove phosphates and dissolved organic matter (DOM). When bare powdered activated carbon (PAC) and PAC impregnated with amorphous ferrihydrite (FHPAC) adsorbents were compared, FHPAC showed a greater adsorption rate and capacity for phosphate. FHPAC had a phosphate adsorption capacity of 2.32 mg PO43\u2212/g FHPAC, even when DOM was present as a competing adsorbate. In a lab-scale hybrid FHPAC-UF system (i.e. integrated adsorption by FHPAC with UF membrane filtration), irreversible membrane fouling was ca. three times lower than that in a PAC-UF system. When membrane fouling in the PAC-UF system was described with pore blockage models, we found that the main cause of fouling was bacterial deposition on the membrane surface. CLSM analysis determined that the chemical composition of foulants in the PAC-UF system included higher proportions of proteins, nucleic acids, and alpha-polysaccharides than that in the FHPAC-UF system. Overall, FHPAC\u2019s ability to undergo ligand exchanges with DOM helped to reduce the nutrients and bacteria that cause biofouling to accumulate on the membrane surface.",
        "Classes": [
            "ENV",
            "BME",
            "CHE",
            "MATSCI"
        ]
    },
    "171": {
        "Title": "Simulation using representative data selection for transboundary radiation effect evaluation by Nuclear Accident Consequence Analysis Code (NACAC)",
        "Abstract": "\u00a9 2023 Atomic Energy Society of Japan. All rights reserved.Global radionuclide dispersion from Fukushima nuclear accident urged several countries to begin evaluating the radiation effects from neighboring countries. The representative data selection simulation is one of the evaluation methods providing practical results with reasonable computational resources. However, it is mostly used in the domestic radiation effect evaluation. This study investigated and modified this simulation method for transboundary radiation effect evaluation. The effects of selected area boundaries, optional weather parameters, and sampling rate, critical parameters in the representative data selection scheme, are sequentially investigated on the calculated results. The evaluation is performed by Nuclear Accident Consequence Analysis Code (NACAC) with hypothetical accidents at Fangchenggang NPP in China. It is revealed that area boundary and optional weather parameter selection insignificantly impact the predicted results, but the sampling rate condition affects the predicted results. Good agreements comprising dispersion characteristics and total effective dose equivalent by simulation using representative and sequential data selections are shown with absolute mean bias error lower than 2.4 \u00d7 10\u22123 mSv, root mean square error lower than 5.7 \u00d7 10\u22124 mSv, and correlation coefficient value higher than 9.1 \u00d7 10\u22121.",
        "Classes": [
            "ENV",
            "CPE",
            "SAFETY",
            "MATH"
        ]
    },
    "172": {
        "Title": "Preparation of hydrothermal carbon acid catalyst from defatted rice bran",
        "Abstract": "\u00a9 2018 Elsevier B.V.In this study, the effects of carbonization conditions: temperature (180\u2013250 \u00b0C) and time (1\u20138 h) on the yield and the chemical characteristics of hydrothermal carbon derived from defatted rice bran (HTCDRB) were determined. The morphological and chemical characteristics of the sulfonated HTCDRB catalyst were also examined. In addition, the stability of the catalyst was evaluated based on the amounts of biomass conversion products (5-hydroxymethylfurfural (HMF), furfural, levulinic acid and formic acid) leached into water at a specified biomass conversion condition. Since no HMF and furfural, and only small amounts of levulinic acid (1.75 wt.%), and formic acid (0.42 wt.%), were leached from the catalyst synthesized from HTCDRB prepared at the carbonization condition of 220 \u00b0C for 3 h, this condition was suggested to be a suitable carbonization condition. Despite having similar structural and chemical characteristics, the leaching test suggested that the DRB-based hydrothermal carbon catalyst was found to be more stable than the glucose-based hydrothermal carbon catalyst, prepared at the same condition. The catalytic activity for cellulose hydrolysis of the catalyst was higher than that of the commercial Amberlyst 16 WET catalyst.",
        "Classes": [
            "PE",
            "CHE"
        ]
    },
    "173": {
        "Title": "Au-catalyzed desorption of GaAs oxides",
        "Abstract": "\u00a9 2019 IOP Publishing Ltd.Thermal desorption of native oxides on GaAs(100), (110) and (111)B surfaces around Au particles are studied in vacuum using in situ microspectroscopy. Two temperature-dependent desorption regimes, common to all surfaces, are identified. The low-temperature desorption regime spatially limited to the vicinity of some Au nanoparticles (NPs) is catalytically enhanced, resulting in oxide pinholes which expand laterally into macro holes many times the size of the catalyzing NPs and with shapes dictated by the underlying crystallography. The high-temperature desorption regime causes homogeneous oxides thinning and, ultimately, complete oxide desorption. The temperature difference between the two regimes is \u223c25 \u00b0C-60 \u00b0C. After oxide desorption and depending on Au size and GaAs surface orientation, Au particles may dissolve the fresh GaAs surface and form mobile AuGa2/Ga core/shell units, or form stationary AuGa2 crystallites, or the catalyzing Au particles may run with minimal reaction with the GaAs surface. These results will add to the fundamental understanding of many Au-based nanofabrication processes, particularly the epitaxial growth of vertical and lateral nanowires.",
        "Classes": [
            "ENV",
            "METAL",
            "ME",
            "EE",
            "NANO",
            "CHE"
        ]
    },
    "174": {
        "Title": "Empirical Stress Intensity Factor Equations for Cracked Steel Plates Repaired with Double-Sided FRP Patches",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.This paper presents an approach that combines the finite element (FE) modeling and genetic programming (GP) to provide accurate empirical stress intensity factor (SIF) equations for center-cracked steel plates repaired with adhesive-bonded double-sided fiber-reinforced polymer (FRP) patches. Several past studies in recent years independently showed that the reduction on the SIF of cracked structures after the patch repair is dependent on many factors such as bonding techniques, material parameters, geometric parameters, environmental factors. In this study, the SIF of the repaired cracked steel plate was considered to be a function of seven parameters including the crack length, elastic modulus of FRP material, shear modulus of adhesive material, dimensions (width, length, and thickness) of rectangular FRP patches, and thickness of adhesive layers. Empirical SIF equations were created by the data mining process of genetic programming analyses performed on a database created from the FE results. The SIF values obtained from these equations were also compared with an analytical equation to assess whether their ability to perform well on a certain design or not. It was found that the proposed SIF equations fitted well with the FE results as the squared Pearson correlation coefficients R2 are higher than 0.9. In addition, the correlations between proposed equations and the analytical equation are approximately 0.8.",
        "Classes": [
            "CE",
            "CPE",
            "MATENG",
            "MATH",
            "MATSCI"
        ]
    },
    "175": {
        "Title": "Power Baseline Modeling for Split-Type Air Conditioner in Building Energy Management Systems Using Deep Learning",
        "Abstract": "\u00a9 2019 IEEE.The baseline model, an estimation of power or energy consumption before implementing energy management, is widely used to identify savings by comparing with the measured data after implementing energy management. This paper proposes power baseline modeling for split-type air conditioners using deep learning. Raw data is cleaned and prepared using data pre-processing. Two feature selection techniques, Karl Pearson's coefficient of correlation and Random forest, are used to select appropriate variables as inputs for the baseline modeling. Deep learning has been applied to modeling and estimating the split-type air conditioner power baseline. Performances of the deep learning model is evaluated using Coefficient of Variation of the Root Mean Square Error (CV-RMSE), Normalize Mean Bias Error (NMBE) and R-squared (R2). The results show that the performance indices are in acceptable accuracy according to the baseline modeling criteria.",
        "Classes": [
            "PE",
            "ME",
            "EE",
            "CPE",
            "MATH"
        ]
    },
    "176": {
        "Title": "Wheel Slip Angle Estimation of a Planar Mobile Platform",
        "Abstract": "\u00a9 2019 IEEE.Wheeled mobile robots and simplified motion of an automobile on a flat surface are common applications of a planar mobile platform. Improving the quality of state variable feedback under the lack of global positioning is imperative for enhancing the motion control performance. This paper proposes an alternative method of wheel slip angle estimation requiring only on-board measurement. The kinematics-based analytical solution is derived so that the slip angle of any free-rolling wheel can be estimated from the measured information of the wheel rolling speed and steering angle, along with the yaw rate and the linear accelerations of the mobile platform. The complete estimation of state variables: traveling speed, sideslip and radius of curvature is obtained from kinematic relationships. An experimental prototype of planar mobile platform is modified from a scaled RWD vehicle with free-rolling front wheel. During extremely sliding random motion, the estimated wheel slip angle and state variables are validated with the motion captured data. This proposed estimation technique can be applied for motion control applications of wheeled mobile robots and automobiles.",
        "Classes": [
            "PE",
            "ME",
            "CPE",
            "IE",
            "MATSCI"
        ]
    },
    "177": {
        "Title": "Synthesis of mesoporous MFI zeolite via bacterial cellulose-derived carbon templating for fast adsorption of formaldehyde",
        "Abstract": "\u00a9 2019 Elsevier B.V.Mesoporous ZSM-5 (MFI) zeolite was synthesized by using bacterial cellulose-derived activated carbon (BC-AC500) with a high surface area as a hard template. Different ratios of BC-AC500 and zeolite precursor gel were prepared in a Teflon-lined autoclave and crystallized at 180 \u00b0C for 48 h in a rotating oven. The physicochemical properties of the samples were characterized by x-ray diffraction (XRD), scanning/transmission electron microscopies (SEM/TEM), and N2 physisorption techniques. It was found that the mesoporous ZSM-5 zeolites have a specific surface area of 184-190 m2/g, a high mesopore volume of 0.120\u20130.956 ml/g and a wide pore size distribution ranging from 5 to 100 nm with a maximum at approximately 25.3 nm. The successfully made mesoporous ZSM-5 was tested as an adsorbent for formaldehyde adsorption in batch mode. The mesoporous ZSM-5 zeolite made from bacterial cellulose-derived activated carbon showed significantly faster adsorption kinetics than conventional ZSM-5 (0.0081 vs. 0.0007 g/mg min, respectively). The prepared material has an adsorption capacity of 98 mg/g and is highly reusable. The reported mesoporous ZSM-5 zeolites can be deployed for the rapid removal of toxic organics from wastewater when urgently needed, e.g., under breakthrough conditions.",
        "Classes": [
            "ENV",
            "CHE",
            "MATENG",
            "MATSCI"
        ]
    },
    "178": {
        "Title": "Biomethanation of Napier Grass Mono-digestion in Single-Stage Anaerobic Completely Stirred Tank Reactors Seeded with Cow Manure and Anaerobic Sludge",
        "Abstract": "\u00a9 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.This study aimed to evaluate methane productivity of Napier grass mono-digestion in single-stage anaerobic completely stirred tank reactors (CSTR) inoculated differently by cow manure (COM), anaerobic sludge (ANS), and a mix of COM and ANS for CSTR1 to 3, respectively. The different inoculation promoted operational performance, stability, and organic loading rate (OLR) differently. The produced biogas and methane varied significantly with OLR (p < 0.05). The maximum gas productivities between 0.42\u20130.48 L-biogas/g VSadded and 0.27\u20130.34 L-CH4/g VSadded were obtained at OLR of 1.0\u20131.5 g VS/L day. Later, the increase in OLR to 2.0 and 2.4 g VS/L day decreased biogas and methane yields by 24.85\u201339.65% and 11.66\u201352.89%. Co-inoculation of COM and ANS was a promising strategy that encouraged more stability in CSTR3 than the other reactors. Consequently, the methanogenic performance was developed in all digesters, depicted clearly by high methane content between 52.94 and 59.30% in produced biogas. A similar microbial structure was found in each CSTR-dominated predominantly by Proteobacteria, Bacteroidetes, and Formicates. About 0.5\u20133.0% of the whole populations were archaea identified distinctly to Methanocorpusculum, Methanospirillum, and Methanosaeta. This finding confirmed the importance of seed inoculation to practical gas productivity and confined organic loading capacity of Napier grass biomethanation in single-stage wet and mono-substrate digestion processes.",
        "Classes": [
            "ENV",
            "ME",
            "CHE",
            "AGRI"
        ]
    },
    "179": {
        "Title": "A guideline for rapid development of assembler to target tailor-made microprocessors",
        "Abstract": "\u00a9 2018 IEEEThe emergence of FPGA technology and rapid advances in EDA tools and HDL languages enables engineers to design the hardware for general purpose or application specific m icroprocessors s wiftly. H owever, i ts n eeded software suite cannot be developed as quickly. In this paper a guideline, based on LLVM infrastructure, for rapid development of an assembler is suggested. To demonstrate that, a simple 16-bit microprocessor, called Laser, is implemented on an FPGA.",
        "Classes": [
            "CPE"
        ]
    },
    "180": {
        "Title": "Received signal strength data of ZigBee technology for on-street environment at 2.4\u202fGHz band and the interruption of vehicle to link quality",
        "Abstract": "\u00a9 2019 The AuthorsZigBee technique is the common wireless network approaches for many smart indoor management applications such as home energy management or building management system. However, the application of ZigBee for outdoor applications is still not mature since the characteristic of signal strength depends on the outdoor conditions. To solve this issue, the received signal strength index (RSSI) and packet delivery are measured in real outdoor conditions for wireless neighborhood area network (WNAN) planning and optimization. Unfortunately, these important data are usually not publicly available for academic use. In this data article, RSSI data and packet delivery rate of a wireless network based on ZigBee 2.4 GHz are collected at the on-street condition, considering the effect of moving and stopping vehicles. In addition, the transmission ranges at two module location levels are also collected. The data provided in this article will help to estimate the transmission range, avoid the interferences and adjust the power level of ZigBee devices for many outdoor applications.",
        "Classes": [
            "CE",
            "CPE"
        ]
    },
    "181": {
        "Title": "Machine learning methods for abnormality detection in hard disk drive assembly process: Bi-LSTM, Wavelet-CNN and SVM",
        "Abstract": "\u00a9 2018 IEEE.The research proposes methods to detect abnormality in assembly of a hard disk drive. Three machine learning techniques are employed to classify the drives from assembly process into good and bad class. A good class represent a drive that all components are properly installed while a bad class represent an abnormal drive that some components are missing or improperly installed. The voice coil motor current motor is measured and collected from physical drives in assembly line for using as training and testing data set. Since the amount of bad drives in hard disk drive assembly process are much smaller than the good drive which introduce the imbalance problem during training process, this paper also set the experiment of varying amount of training data set that can satisfy the training in practical hard disk drive assembly process. Bidirectional Long Short-Term Memory, Wavelet transform with Convolutional Neural Network and Support Vector Machine are chosen as proposed machine learning models to classify this task. The comparison between each technique is discussed.",
        "Classes": [
            "ME",
            "EE",
            "CPE",
            "MATH"
        ]
    },
    "182": {
        "Title": "Prediction of Post likes Using Clustering and Regression Technique",
        "Abstract": "\u00a9 2018 IEEE.This research presented the result of comparative between like prediction that used clustering technique and like prediction that didn't use clustering technique to predict likes on Facebook. We collected data who clicked like button on Fanpage post. We analyzed likes of Fanpage several key factors before prediction. We using regression analysis to calculate correlation of each datasets and pick up one which is better to create model by our approach. And show the result of both approaches between clustering and non-clustering.",
        "Classes": [
            "CPE",
            "MATH"
        ]
    },
    "183": {
        "Title": "Maximization of PV size for its limitation in MEA grid code by considering overvoltage and increased active power loss criteria",
        "Abstract": "\u00a9 2019 IEEE.A photovoltaic (PV) limitation in Thailand grid code has been based only on an average light load to protect the reverse power flow caused by PV systems installed into a LV distribution grid. However, injecting PV power during the light load occurrence can cause overvoltage and increased active power loss impacts on the distribution system. The objective of this paper is to determine the maximum PV size used to set the installation limit in Thailand grid code. The system voltages and the active power loss are used to be constraints of the optimization problem. A Direct Search method is employed and developed on the DIgSILENT PowerFactory program. The simulated system is constructed from typical data of Thailand distribution grids, while the load flow calculation is carried out on the average light load condition of Metropolitan Electricity Fig. 1. Thailand's PV installed capacity from 2014 to 2018 (Until June) Authority (MEA), Thailand. Three simulation cases are studied: (1) PV installed at the beginning of the line, (2) PV installed at the middle of the line, and (3) PV installed at the end of the line. The results show that when a PV system with an appropriate size is installed, its impacts will be mitigated, and that the PV size can be the highest if its location is at the beginning of the line. Since the simulated system is typically constructed, the results and analyses can be applied broadly and imposed on the MEA's grid code.",
        "Classes": [
            "EE",
            "CPE",
            "CHE"
        ]
    },
    "184": {
        "Title": "Discussion of some recent literature on hydrogen-embrittlement mechanisms: Addressing common misunderstandings",
        "Abstract": "\u00a92019 Walter de Gruyter GmbH, Berlin/Boston 2019.There have been several reviews and numerous papers on hydrogen-embrittlement phenomena and mechanisms in the past few years, but long-standing controversies regarding mechanisms of embrittlement (when hydride phases are not involved) are no closer to being resolved despite all the recent research. These controversies have arisen partly because there have been significant misunderstandings of some of the proposed mechanisms, and some misinterpretation of experimental observations. There has also been a lack of consideration of all the evidence, with some researchers ignoring observations that do not fit their favoured hypothesis. Some recent reviews and papers illustrating the above points are discussed in the present paper, although a comprehensive coverage is not attempted. It is concluded that the adsorption-induced dislocation-emission/void-coalescence mechanism predominates for cleavage-like and intergranular fracture modes that exhibit microscale or nanoscale dimples. Hydrogen-enhanced decohesion, hydrogen-enhanced localised plasticity, and vacancy-based mechanisms may play secondary roles for such fracture modes and could be more important in other cases.",
        "Classes": [
            "METAL",
            "ME",
            "CHE",
            "MATSCI"
        ]
    },
    "185": {
        "Title": "Paper Machine Breakdown Reduction by FMEA and Preventive Maintenance Improvement: A Case Study",
        "Abstract": "\u00a9 2019 IOP Publishing Ltd. All rights reserved.FMEA is a widely selected tool for the application of machinery breakdown prevention. This research adopted FMEA technique to reduce and prevent the breakdown of the important equipment of a large commercial paper machine that has capacity of 200,000 tonnes per annum located in the Northeast area of Thailand. This research accomplished the improvement of preventive maintenance in other machines for rapid implementation and improved machine inspections. After implementation, the downtime of paper machine belonging to maintenance department responsibility reduced significantly 5 hours per month by average, machine availability, OEE, and MTBF increased 0.46%, 0.51%, and 10 hours respectively. The machine downtime has been on the downward trend.",
        "Classes": [
            "MATENG",
            "IE"
        ]
    },
    "186": {
        "Title": "Performance analysis of the traffic aware scheduling algorithm with local information",
        "Abstract": "\u00a9 2019 IEEE.More recently, a centralized traffic-aware scheduling algorithm(TASA)for IEEE 802. 15.4e time slotted channel hopping (TSCH) has been proposed that yields a low latency scheduling mechanism compared to existing scheduling algorithms. TASA employs an attractive scheduling approach with the aid of network topology and global information. In this paper, we investigate the effects of creating the schedule only using the local information in the network. The communication reliability of the proposed algorithms is evaluated in terms of packet delivery ratio and end-to-end delay. Simulation results show that the proposed scheduling algorithms based on local information can achieve the same performance as TASA with global information.",
        "Classes": [
            "IE"
        ]
    },
    "187": {
        "Title": "Lower bound stability analysis of plane strain headings in Hoek-Brown rock masses",
        "Abstract": "\u00a9 2018 Elsevier LtdTunnel face stability is an important issue for the safety assessment of tunneling constructions. In this paper, the lower bound (LB) finite element limit analysis in conjunction with semidefinite programming (SDP) is developed and employed to investigate the stability of plane strain tunnel headings in Hoek-Brown (HB) rock masses. Lower bound solutions of the load factor of the problem for the practical ranges of dimensionless parameters are extensively examined including the cover-depth ratio of headings, the normalized uniaxial compressive strength of intact rock, the Geological Strength Index (GSI), and the HB material constant (mi). The failure mechanisms associated with those parameters are discussed and compared. The safety assessment of relatively long-wall tunnels or mining in rock masses can be reliably and accurately performed by employing the presented results in practice.",
        "Classes": [
            "PE",
            "SAFETY",
            "MATSCI"
        ]
    },
    "188": {
        "Title": "Stubs and Drivers Generator for Object-Oriented Program Testing Using Sequence and Class Diagrams",
        "Abstract": "\u00a9 2018 IEEE.This paper aims to present a tool named 'Stubs and Drivers Generation Tool' which is a web application for generating stub and driver source code from an UML, sequence diagram and a class diagram. Testers can automate the unit testing with our tool. The tool will read the XML file of a sequence diagram and a class diagram. Next, the tool processes the XML file and create a call graph from the sequence diagram. After a tester selects a class under test and set values of the class under test source code attributes, the tool will create the stub and driver from set attributes. The tester can customize the source code and export the source code file for using in the testing process.",
        "Classes": [
            "CPE"
        ]
    },
    "189": {
        "Title": "Use of an internal fibrous biofilter for intermittent nitrification and denitrification treatments in a zero-discharge shrimp culture tank",
        "Abstract": "\u00a9 2019 Elsevier B.V.To achieve water reuse in recirculating aquaculture systems, intermittent nitrification and denitrification processes using internal fibrous media was proposed. A pre-acclimated Biocord biofilter, with an initial nitrification rate of 17.1 \u00b1 12.4 mg total ammonia nitrogen-N/m2/d was applied in a marine whiteleg shrimp (Litopenaeus vannamei) culture tank. Throughout the experiment, the aerobic nitrification activity of the biofilter was sufficient to control the ammonia and nitrite levels below 0.2 mg-N/L with an accumulation of nitrate up to 50 mg-N/L. The remaining nitrate was successfully removed after shrimp harvest with the same biofilter through anoxic denitrification in conjunction with a methanol supplement at a chemical oxygen demand: nitrate-N ratio of 5:1. With complete nitrogen removal, the water was re-aerated and the next crop of shrimp culture was initiated. In this study, a two-crop shrimp cultivation was performed in sequence in the same tank without water exchange. The microbial diversity was monitored using high-throughput sequencing on Illumina MiSeq, which demonstrated that Proteobacteria (45.3 %), Chloroflexi (18.4 %), and Bacteroidetes (17.1 %) were the most abundant phyla. With an emphasis on nitrogen removal, the family Nitrosomonadaceae and Nitrospiraceae were the dominant nitrifying bacteria during the aerobic nitrification, while a high relative abundance of the Methylophaga and Methylotenera genera was observed under the anoxic condition.",
        "Classes": [
            "ENV",
            "BME",
            "ME",
            "CHE",
            "AGRI"
        ]
    },
    "190": {
        "Title": "Developement of Composite Armors Using Natural Rubber Reinforced with Steel Wire Mesh for Ballistic Resistance",
        "Abstract": "\u00a9 2018 Institute of Physics Publishing. All rights reserved.A protective ballistic armor used for military buildings, that will meet the anti-terrorism and force protection demands, are increasingly needed, particularly in Thailand's southernmost provinces. A new type of ballistic armor system has been developed, composing of composite layers, using natural rubber reinforced with steel wire mesh, and Al plate. The composite layers were used as front material while the Al plate was used as backing plate. The armors were tested against NIJ-Type III threats using NIJ 0108.01 ballistic test standard. The armor, with 12 mm Al backing plate, can successfully resist the NIJ-Type III treat with only combination of two composite layers. Different than hard and brittle plate, such as ceramic, the use of composite layer at the front did not blunt and erode the projectile, due to its ductile property. However, the composite layer effectively reduces the velocity of projectile, due to high fracture toughness, as a result of reinforcing steel wire mesh layers in the composites. The projectile was finally stopped by the Al backing plate.",
        "Classes": [
            "CE",
            "METAL",
            "CPE",
            "MATENG",
            "MATSCI"
        ]
    },
    "191": {
        "Title": "A simulation tool for vertical transportation systems using python",
        "Abstract": "\u00a9 2018 IEEE.This paper presents a software development tool which is capable of simulating the vertical transportation systems within buildings using elevators. The simulation tool is composed of a passenger arrival model for a single or group of elevators, their control system, and a graphical user interface (GUI). The developed GUI can display statistical information of the passengers traffic pattern and also the animation of elevator cars with the number of passengers inside. The current version allows both individual and batch Poisson arrival processes which could represent up-peak traffic in the morning and after lunch of office buildings respectively. The motion of elevator cars has been precisely modeled with real parameters of velocity, acceleration, distance, and jerk. However, only the basic nearest car algorithm is implemented for elevator group control systems. We believe, the developed simulator not only has its utility for educational purpose but also can serve as a software platform for future research on more advanced elevator group control systems.",
        "Classes": [
            "CE",
            "CPE",
            "EDU",
            "MATSCI"
        ]
    },
    "192": {
        "Title": "A Direct Load Control Algorithm for Air Conditioners Concerning Customers' Comfort",
        "Abstract": "\u00a9 2018 IEEE.Direct Load Control is a policy of demand response. It may control some remote appliances. Air conditioners are its main target since they consume lots of power. In this paper, a load scheduling technique for operating at a load aggregator is proposed. It selectively turns on/off some of air conditioners such that most of the customers are still in the comfort zone. This algorithm is implemented and tested by a group of simulated air conditioner in many conditions.",
        "Classes": [
            "ME",
            "EE"
        ]
    },
    "193": {
        "Title": "Formation of isolated tungstate sites on hierarchical structured SiO2- and HY zeolite-supported WOx catalysts for propene metathesis",
        "Abstract": "\u00a9 2019The formation of isolated tungstate sites on hierarchical structured SiO2 nanoparticles and HY zeolite with high Si/Al ratio (Si/Al 500) was investigated in the self-metathesis of propene over supported WOx-based catalysts. The synthesis of hierarchical HY not only increased the tungsten dispersion in the forms of isolated tungstate oxo species (mono-oxo and di-oxo) by increasing the terminal silanol group density of the support for these oxides to be grafted on but also greatly reduced the heavy hydrocarbon formation simultaneously by elimination of some alumina from the zeolite. As a consequence, higher propene conversion was obtained without the undesired reactions especially during the initial stage, when the metallocarbene was not fully developed. The results present a facile method for the development of heterogeneous WOx-based metathesis catalysts and a better correlation between the surface properties of catalyst support and the formation of tungsten pre-catalysis active species.",
        "Classes": [
            "METAL",
            "CHE"
        ]
    },
    "194": {
        "Title": "Log-End Cut-Area Detection in Images Taken from Rear End of Eucalyptus Timber Trucks",
        "Abstract": "\u00a9 2018 IEEE.The visual estimation of log volume and size distribution of eucalyptus logs on a truck is a challenging task. In Thailand, inspectors at paper mills typically perform this task. The information is used to determine whether the logs pass the criteria for the mill and to find the appropriate price. This method is far from accurate and not efficient. This paper presents a new approach to automatically detects eucalyptus logend cut area from rear-end images of eucalyptus timber trucks. The method used machine learning and image processing techniques. It consists of three parts: timber truck detection, log segmentation, and log counting. The proposed system was tested with 300 images of timber truck dataset and achieved an average accuracy of 94.45% in log segmentation and 2.71% of false negative.",
        "Classes": [
            "CPE"
        ]
    },
    "195": {
        "Title": "Feature Detection and Description based on ORB Algorithm for FPGA-based Image Processing",
        "Abstract": "\u00a9 2021 IEEE.Feature detection and description is a key concept of image processing and computer vision. Oriented FAST and Rotated BRIEF (ORB) algorithm is one of feature detector and descriptor that is widely used in image stitching and registration systems such as simultaneous localization and mapping (SLAM) systems. ORB algorithm has improved the speed of processing and robustness. It has scale-invariance and rotational invariance properties. However, there are some obstacles to implement on low-power devices such as its high computational intensity. This paper presents the feature detection and description algorithm based on ORB algorithm which adopted parallel and pipeline techniques to accelerate the system and be beneficial for designing FPGA architecture. Compared with the results obtained by cv.ORB() function, the proposed algorithm improves the parallelism and reduces the operation of the process but could maintain the consistency of the corner numbers and the accuracy.",
        "Classes": [
            "CPE"
        ]
    },
    "196": {
        "Title": "Photocatalytic zinc oxide on flexible polyacrylonitrile nanofibers via sol\u2013gel coaxial electrospinning",
        "Abstract": "\u00a9 2019 Elsevier Ltd and Techna Group S.r.l.Photocatalysts on nanofibers provide a large surface area for high photocatalytic activity, prevent nanoparticle aggregation, and facilitate easy separation from the process fluids. In this work, zinc oxide (ZnO) photocatalysts on flexible polyacrylonitrile (PAN) were prepared via single-step deposition by sol\u2013gel coaxial electrospinning. A core/sheath structure consisting of the PAN polymer covered with a ZnO\u2013polyvinylpyrrolidone (PVP) mixture was fabricated and then calcined at high temperatures to remove the PVP and crystallize the ZnO. The concentrations and viscosities of PAN and PVP were varied to find the appropriate conditions for nanofiber production. The thermal behavior and optimal calcination temperature were investigated via thermogravimetric analysis and Fourier transform infrared spectrometry. ZnO/PAN coaxial nanofibers fabricated using 18% PVP and 12% PAN and calcined at 450 \u00b0C in air for 2 h had a ZnO-to-carbon ratio of 0.51. The nanofibers retained their flexibility and exhibited photocatalytic activity toward methylene blue degradation.",
        "Classes": [
            "NANO",
            "CHE",
            "MATENG",
            "MATSCI"
        ]
    },
    "197": {
        "Title": "A multiplayer and activities based approach to Chulalongkorn Virtual Interactive Memorial Hall",
        "Abstract": "\u00a9 2023 IEEE.Chulalongkorn University is the premier university in Thailand, and its memorial hall is a historical landmark that showcases the prestigious history and accomplishments of the university. As a result of coronavirus-related closures, the number of visitors who were able to visit this memorial was drastically lower over the last two years, and some relics were prohibited from being visited and appreciated as well. As a solution to these problems, a virtual tour using metaverse technology is described in this paper; specifically, the memorial hall is modeled digitally using three-dimensional (3D) models, and users can observe the virtual museum environment and perform various activities virtually. A mechanism called the multiplayer approach is adopted, where several visitors can enjoy the museum's tour simultaneously by using our web-based metaverse. An activity-based environment is created where the visitors can play the piano, find ancient items hidden inside the museum, and get a reward upon successful completion of the task. It is believed that this virtual tour will meet a visitor's needs while at the same time safeguarding priceless cultural and historical artifacts and other sources of knowledge.",
        "Classes": [
            "CE",
            "BME",
            "CPE"
        ]
    },
    "198": {
        "Title": "Classification models for stock's performance prediction: A case study of finance sector in the stock exchange of Thailand",
        "Abstract": "\u00a9 2018 IEEE.Within stock market, the objective of both stock buyers and sellers is to make profit on price difference based on their expectation on a company's current and future value. There is no investing strategy that is considered to be the best by experts, and investing decision criteria remain contingent upon an individual investor's experiences and bias. To address the challenges, this paper uses financial ratios and company's industry data of stocks in finance sector of the Stock Exchange of Thailand (SET) to construct two classification models predicting (i) whether stock's one-year return will outperform the SET Index and (ii) whether the return will be positive. Various classification techniques, including Logistic Regression (LR), Decision Tree (DT), Linear Discriminant Analysis (LDA), and K-Nearest Neighbor (KNN) are explored, whose performances are evaluated by Area Under the Curve (AUC) of the Receiver Operating Characteristic (ROC) curve. Based on the AUC values, we can conclude that, on average, all methods are comparatively good, with LR and LDA being the most useful classifiers for risk averse investors- A s both are not subject to uncertainty due to true positive counting bias.",
        "Classes": [
            "CPE",
            "MATH"
        ]
    },
    "199": {
        "Title": "Learning Polar Codes using Python Program with Graphical User Interface",
        "Abstract": "\u00a9 2019 IEEE.Polar codes are an emerging class of powerful capacity-achieving channel codes for binary-input memoryless channels. Very recently, polar codes have been adopted as an official channel coding technology for control channels of 5G communications systems. In this paper, we aim to develop a self-learning software tool to help electrical engineering students understand polar codes in the most effective manner. The software tool developed in Python provides a graphical display for detailed and step-by-step encoding and decoding processes for polar codes of various different block lengths. We have applied this tool in our lecture class of the fourth year undergraduate students. It is found that students are able to gain insight the basic concept of polar codes quickly through the interactive and friendly graphical user interface.",
        "Classes": [
            "CPE"
        ]
    },
    "200": {
        "Title": "Incorporation of hydrogen by-product from NaOCH3 production for methanol synthesis via CO2 hydrogenation: Process analysis and economic evaluation",
        "Abstract": "\u00a9 2018 Elsevier LtdA major problem regarding the production of methanol via the CO2 hydrogenation is the source of hydrogen that is still expensive and not economically sustainable. Utilization of hydrogen available as a by-product from other processes may resolve such issue. In this work; therefore, we evaluate the potentiality of incorporating the hydrogen by-product from the NaOCH3 production for the synthesis of methanol via hydrogenation of CO2, a greenhouse gas released from industry. Due to the limited availability of hydrogen from NaOCH3 production, a detailed analysis of kinetic in the reactor systems including, 1) the adiabatic fixed bed, 2) the isothermal multi-tube, and 3) the adiabatic fixed-bed reactors with an intercooler, are simulated using Aspen Plus in order to select the most appropriate reactor system that maximizes the conversion of hydrogen and CO2. The adiabatic fixed bed reactor appears the most appropriate since it consumes the highest amount of CO2, and shows the highest Profitability Index when compared to other reactor systems. In addition, methanol produced from this proposed process can provide a 16.4% reduction in the methanol feedstock required for the upstream process of NaOCH3 production. An analysis using Aspen Economic is also performed in this work which reveals that the saving cost generated from the recycle of methanol to the upstream process is almost comparable to the costs of construction and operation of the process of methanol synthesis. According to our useful sensitivity analysis, a methanol price as well as hydrogen and CO2 feed rates directly influenced the feasibility of the proposed process. The obtained result indicates that this proposed process is potentially feasible when 1) the price of methanol increases, and 2) the availability of hydrogen increases due to the increased NaOCH3 production capacity over than 1.5 times of the current scale.",
        "Classes": [
            "ENV",
            "CPE",
            "CHE",
            "IE",
            "MATH"
        ]
    },
    "201": {
        "Title": "Development of a paper-based pressure sensor fabricated by an inkjet-printed water mask method",
        "Abstract": "\u00a9 2020, Springer-Verlag GmbH Germany, part of Springer Nature.Paper-based devices are particular of interest due to their unique properties including low-cost, flexibility, light weight and environmental-friendliness. However, till now the number of developed paper-based electronic devices has been limited. Here, a paper-based piezoresistive pressure sensor has been developed. In the fabrication process, graphite piezoresistors were fabricated on a paper substrate by an inkjet-printed water mask method and assembled onto a polystyrene base. The sensitivity of the developed pressure sensor was found to be 20.0 \u03bcV/V/mmHg in a range of pressures from 0 to 65.26 mmHg. A comparison with a commercial silicon-based sensor reveals a great potential for paper-based sensors to be alternatives to silicon-based sensors.",
        "Classes": [
            "MATENG"
        ]
    },
    "202": {
        "Title": "Heterogeneous Suzuki cross-coupling reaction in water catalyzed by palladium nanoparticles supported on individual calcium carbonate plates derived from mussel shell particle",
        "Abstract": "\u00a9 2017 Elsevier Ltd. All rights reserved.A new palladium nanoparticles catalyst supported on individual calcium carbonate plates (Pd/ICCP) is made from Asian green mussel shells and used as heterogeneous catalyst in Suzuki cross coupling reaction. The reduction of palladium (II) generates palladium (0) nanoparticles which can embed on individual calcium carbonate plates (ICCP) to give Pd/ICCP. The prepared Pd/ICCP catalyst is characterized by scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDX), indicating an entire dispersion of palladium onto the surface of individual calcium carbonate plates. Furthermore, palladium content in the prepared Pd/ICCP catalyst is determined by inductively coupled plasma optical emission spectroscopy (ICP-OES). The optimized study is investigated in Suzuki cross-coupling reaction between 4-iodoanisole and phenylboronic acid. It reveals that using potassium carbonate in mixed solvent of EtOH: H2O (3:2) in the presence of 2 mol% of Pd/ICCP give 4-methoxybiphenyl in 90% isolated yield at 40 oC. Moreover, in the presence of cetyltrimethylammonium bromide (CTAB) as phase transfer agent, the reaction can perform in water as a sole solvent to give the product in excellent yield under the same condition.",
        "Classes": [
            "NANO",
            "CHE",
            "MATSCI"
        ]
    },
    "203": {
        "Title": "Heterogeneous photocatalytic degradation of diuron on zinc oxide: Influence of surface-dependent adsorption on kinetics, degradation pathway, and toxicity of intermediates",
        "Abstract": "\u00a9 2019Heterogeneous photocatalytic reaction has been generally applied for degradation of toxic contaminants. Degradations of a compound using the same kind of catalyst that was synthesized differently are commonly found in literature. However, the reported degradation intermediates are normally inconsistent. This issue is especially important for the degradation of toxic compounds because intermediates may be more toxic than their parent compounds and understanding the reason is necessary if appropriate catalysts are to be designed. This work systematically compares the photocatalytic degradation of diuron, a toxic recalcitrant herbicide, on two forms of zinc oxide (ZnO), i.e., conventional particles with zinc- and oxygen-terminated polar surfaces as the dominating planes, and nanorods with mixed-terminated nonpolar surfaces. Experimental and theoretical results indicate that both the rate of reaction and the degradation pathway depend on the adsorption configuration of diuron onto the surface. Diuron molecules adsorb in different alignments on the two surfaces, contributing to the formation of different degradation intermediates. Both the aliphatic and aromatic sides of diuron adsorb on the polar surfaces simultaneously, leading to an attack by hydroxyl radicals from both ends. On the other hand, on the mixed-terminated surface, only the aliphatic part adsorbs and is degraded. The exposed surface is therefore the key factor controlling the degradation pathway. For diuron degradation on ZnO, a catalyst confined to mixed-terminated surfaces, i.e., ZnO nanorods, is more desirable, as it avoids the formation of intermediates with potent phytotoxicity and cytogenotoxicity.",
        "Classes": [
            "BME",
            "ME",
            "NANO",
            "CHE",
            "MATSCI"
        ]
    },
    "204": {
        "Title": "A review of underlying reasons for intergranular cracking for a variety of failure modes and materials and examples of case histories",
        "Abstract": "\u00a9 2019The reasons why cracking and corrosion can occur preferentially along grain boundaries in a wide variety of metallic materials are discussed, along with case histories of failures involving intergranular fracture and corrosion. Failure modes discussed include fast fracture, fatigue (in inert and embrittling environments), liquid-metal embrittlement, hydrogen embrittlement, stress corrosion cracking, and corrosion fatigue, in materials such as steels, Al alloys, Ni alloys, and Cu alloys. The features sometimes observed on grain-boundary facets (e.g. fatigue striations, crack-arrest markings, slip lines, steps/microfacets, nano\u2212/micro-scale dimples, second-phase particles, and deposits), and how they are formed, are described, as such knowledge helps in diagnosing fracture modes and causes. Reasons for intergranular cracking in the cases considered include (i) preferential precipitation at grain boundaries (sometimes with an associated precipitate-free zone), (ii) segregation of metalloid impurities, hydrogen, or some alloying elements, (iii) preferential adsorption of embrittling environmental species (such as some metal atoms and hydrogen) at intersections of grain boundaries with surfaces/crack tips, and (iv) locally anodic regions at or adjacent to grain boundaries. Some lessons for failure-analysis and prevention in general, illustrated by the case histories, are then summarised.",
        "Classes": [
            "METAL",
            "CHE",
            "MATSCI"
        ]
    },
    "205": {
        "Title": "Amine functionalized radiation induced grafted polyolefin nanofibers for CO2 adsorption",
        "Abstract": "\u00a9 2018 Elsevier LtdA new type of nanofibrous amine-containing adsorbent was prepared for CO2 adsorption by electrospinning of syndiotactic polypropylene (s-PP) followed by radiation induced grafting of glycidyl methacrylate and subsequent amination with ethanolamine. The obtained adsorbents were tested for CO2 adsorption with a mixture of CO2/N2 having 5\u201315% CO2 using a fixed bed adsorption column at atmospheric pressure. A maximum adsorption capacity of 2.87 mmol/g was achieved for the sample with degree of grafting of 300% and degree of amination of 94% at feed concentration of 15% at 30 \u00b0C. This was accompanied by good mechanical characteristics and a very high amine efficiency that reached 75% at room temperature, suggesting that the obtained fibrous adsorbent has high potential for CO2 adsorption.",
        "Classes": [
            "ENV",
            "NANO",
            "CHE",
            "MATENG",
            "MATSCI"
        ]
    },
    "206": {
        "Title": "Vertical vibrations of rigid foundations of arbitrary shape in a multi-layered poroelastic medium",
        "Abstract": "\u00a9 2018 Elsevier LtdThis paper presents dynamic response of rigid foundations of arbitrary shape embedded in a multi-layered poroelastic medium subjected to time-harmonic vertical loading. The contact surface between foundation and poroelastic medium is smooth, and either permeable or impermeable. This dynamic interaction problem is investigated by employing a discretization technique and an exact stiffness matrix scheme. Selected numerical results are shown to portray the influence of various parameters such as foundation shape, embedded depth, and poroelastic effects on vertical compliances of various rigid foundations in multi-layered poroelastic media. In addition, vertical vibrations of mudmat foundations on water-saturated layered soils are also presented.",
        "Classes": [
            "CE",
            "PE",
            "MATH",
            "MATSCI"
        ]
    },
    "207": {
        "Title": "Thermodynamic parameters and isotherm application on enantiomeric separation of levofloxacin using hollow fiber supported liquid membrane system",
        "Abstract": "\u00a9 2017 Elsevier B.V.The thermodynamic parameters \u0394H, \u0394S and \u0394G on enantiomeric separation of levofloxacin were determined. The activation energy (Ea) of the reaction between levofloxacin and (-)-DBTA was 72.96 kJ mol\u22121. Percentages of extraction and recovery of levofloxacin were 88.35% and 85.57%, respectively. Enantiomeric excess (% e.e.) was found to be 80.00%. Further, Langmuir isotherm was applied to the HFSLM system. Thus, it was noted that the Langmuir isotherm showed good agreement with the experimental data with a percentage deviation of 2.29%.",
        "Classes": [
            "CHE"
        ]
    },
    "208": {
        "Title": "Generation and selection of Pareto-optimal solution for the sorption enhanced steam biomass gasification system with solid oxide fuel cell",
        "Abstract": "\u00a9 2019 Elsevier LtdThe biomass gasification coupled with a solid oxide fuel cell (SOFC) system is one of the most efficient and environmentally friendly technologies for combined heat and power generations. For the development and improvement of the integrated process systems, the optimization problem has more than one conflicting objective functions to be optimized (i.e., thermodynamic performance, environmental impacts, annual profit, capital and operating costs) simultaneously. Multi-objective optimization (MOO) methods are used to find a set of optimal (or non-dominated) solutions. In this work, MOO of a sorption enhanced steam biomass gasification (SEG) integrated with an SOFC and gas turbine (GT) system, for combined heat and power production from Eucalyptus wood chips as biomass feedstock, is investigated. Firstly, the model of this integrated plant is developed in Aspen Plus that can be divided into five parts: (1) SEG, (2) hot gas cleaning and steam reforming, (3) SOFC, (4) catalytic burning, GT and CO2 compression, and (5) Portland cement production. As the annual profit demonstrates the economic viability of the plant and annualized capital cost (ACC) indicates availability of investments, the MOO of the integrated plant is performed to obtain Pareto-optimal solutions based on the minimization of ACC and maximization of annual profit with five important decision variables. After that, ten selection methods are used to recommend practical solutions for implementing in the integrated plant. In order to explore the effect of decision variables uncertainty on obtained Pareto-optimal solutions, random variations in decision variables are used to quantify deviations in objective functions. The Pareto-optimal solutions are ranked based on the normalized variations for decision variables uncertainty. At the end of this study, robust MOO of the integrated plant is performed, with respect to uncertainties in the market and operating parameters.",
        "Classes": [
            "CE",
            "ENV",
            "ME",
            "EE",
            "CHE",
            "MATENG",
            "IE",
            "MATH"
        ]
    },
    "209": {
        "Title": "PV and battery sizing for user's defined energy independence",
        "Abstract": "\u00a9 2017 IEEE.This paper proposes a method to determine an optimal size of PV, with and without battery, based on the minimum life cycle cost (LCC), in compliance with the user's specified energy self-supplied index (ESSI). The output graphical information is provided to enhance customer's choice in selecting the lowest LCC of PV and battery which satisfies the user's desired ESSI and budget allowance. Test results reveal that LCC of the PV with battery is always less than that of the PV without battery when ESSI is set above 45%. This application can help promote sustainable energy and reduced CO2 emission.",
        "Classes": [
            "EE"
        ]
    },
    "210": {
        "Title": "Recent developments on bismuth oxyhalides (BiOX; X = Cl, Br, I) based ternary nanocomposite photocatalysts for environmental applications",
        "Abstract": "\u00a9 2021 Elsevier LtdPhotocatalytic treatment of organic pollutants present in wastewater using semiconductor nanomaterials under light irradiation is one of the efficient advanced oxidation processes. Stable metal oxide (e.g. TiO2) based semiconductor photocatalytic systems have been mainly investigated for this purpose. Nevertheless, their large band gap (~3.2 eV) makes them inefficient in utilization of visible light portion of solar light leading to a lower degradation efficiency. Investigations have focused on the development of visible light responsive bismuth oxyhalides (BiOX; X = Cl, Br, I), one of the potential nanomaterials with unique layered structure, for efficient absorption of solar light for the degradation of pollutants. However, the rapid recombination rate of photogenerated charge carriers limits their practical applicability. To overcome such drawbacks, the development of BiOX based ternary nanocomposites received significant attention because of their unique structural and electronic properties, improved visible light response and increased separation and transfer rate of photogenerated charge carriers. This review aims to provide a comprehensive overview of the recent developments on bismuth oxyhalides-based ternary nanocomposites for enhanced environmental pollutants decomposition under visible light irradiation. The principles of photocatalysis, synthetic methodologies of bismuth oxyhalides and their characteristics such as heterojunctions formation, improved visible light response and separation rate of charge carriers and the mechanisms for enhanced visible light photocatalytic activity are discussed. In addition, the future prospects on the improvement in the photocatalytic activity of bismuth oxyhalides-based ternary nanocomposites are also discussed. This review could be beneficial for designing new ternary nanocomposites with superior visible light photocatalytic efficiency.",
        "Classes": [
            "ENV",
            "EE",
            "OPTIC",
            "NANO",
            "CHE",
            "IE",
            "MATSCI"
        ]
    },
    "211": {
        "Title": "Topological evolution of public transportation network: A case study of Bangkok rail transit network",
        "Abstract": "\u00a9 2018 IEEE.Bangkok Rail Transit Network (BRTN) is the first urban rail transit system in Thailand, initially operated in 1999. Once completed in 2029, the BRTN will be one of the world largest urban rail transit networks, with 285 stations accounting for 508 kilometers of travel distance. To investigate and explain the topological evolution of BRTN from 1999 to 2029, five network indicators were selected, including network diameter, gamma index, degree centrality, closeness centrality, and betweenness centrality. We found that, as the BRTN evolves, both diameter and gamma index seemingly rise indicating better spread and connectivity over time. Likewise, average degree centrality increases from 1.91 to 2.27, while both average closeness and betweenness centrality gradually decline; but with different intensity patterns. More specifically, stations with high closeness tend to be those in the central Bangkok area as they conveniently reach the rest of the network with fewer links; however, as betweenness gives more weights to stations that facilitate transportation, stations with high betweenness tend to be those joining central area to the suburbs.",
        "Classes": [
            "EE",
            "MATH"
        ]
    },
    "212": {
        "Title": "Miniaturized Dual-Band Power Dividers Based on Conjugately Characteristic-Impedance Transmission Lines (CCITLs)",
        "Abstract": "\u00a9 2021 IEEE.A miniaturized dual-band power divider for microwave frequencies has been developed. The present design utilizes the two-section impedance transformers implemented by the conjugately characteristic-impedance transmission lines (CCITL) to obtain size reduction with dual-band characteristic. The properly designed CCITL can achieve shorter electrical length than the normal transmission line (TL) to provide the same impedance transformation characteristic. Approximately one-fourth size reduction has been achieved by the proposed technique with reasonable results of scattering parameters, as compared with the similar design using the two-section impedance transformers but realized by the normal TLs.",
        "Classes": [
            "ME",
            "EE"
        ]
    },
    "213": {
        "Title": "Validation of SDN Emulator Based on Mininet and ONOS Controller for IEC 61850 Packet Delay Measurement",
        "Abstract": "\u00a9 2019 IEEE.To guarantee the electrical power stability for economic and industry growth, the power grid would need to adopt the technology of smart grid with the enablement of new communication technologies. IEC 61850 has been introduced for the upgrading of an electrical substation to digital substation composed of many digital devices that help automate the electrical power control for the purpose of power stability. Sampled Values is a basic message protocol for the application of Wide Area Measurement and Control (WAMPAC), which requires manageable communication in a wide area over Ethernet layer. In this regard, Software Defined Networking (SDN) has recently been introduced as one of the communication technologies with that capability. This paper has reported on our first-step findings towards the development of a tool to help checking the feasibility of SDN technology in smart grid applications. Since the smart grid applications must be delay-critical, timing performances become essential and all the modules to be used in the tool development must be verified on that aspect. Particularly, for this paper, Mininet and ONOS controller have been tested. Their ability to emulate transmission link delay values is quantified and reported for the practical range of smart grid application usages.",
        "Classes": [
            "EE",
            "CPE"
        ]
    },
    "214": {
        "Title": "Modelling an Extension Decision of BOT Transportation Infrastructure: A Risk-Adjusted Approach",
        "Abstract": "\u00a9 2020 American Society of Civil Engineers.Thailand has a long history in welcoming the private sector to participate in the development of large-scale infrastructure projects through a program called public private partnership or PPP. Build-operate-transfer (BOT) and build-transfer-operate (BTO) are two of commonly used PPP contracts for transportation infrastructure, in which the private (or the concessionaire) is responsible for the risks relating to the design, finance, construction, and operation and maintenance (O&M) of the project. As some of PPP transportation infrastructure projects in Thailand are approaching its final year of a concession period, decision as to extend or to end the contract must be made by a contracting agency, that is: (1) to extend the concession contract to the existing concessionaire for a certain period of years or (2) to let the concession expire and to have a responsible public agency assume the operation. This paper is to propose a decision-making model based on a level of risk exposure as a computational tool for comparing between a renewal package offered by the concessionaire and expected benefits generated under the operation by the public agency. A case study project, a BOT elevated road located in Bangkok, will be used to illustrate the application of the proposed model. One of the implications of this study is that the estimated figure computed using the proposed method may be treated as a public sector comparator (PSC), which can be used as an initial benchmark for the negotiation with the existing or a new concessionaire.",
        "Classes": [
            "CE",
            "IE",
            "SAFETY"
        ]
    },
    "215": {
        "Title": "Uplift of very sensitive soft clay due to pile driving",
        "Abstract": "\u00a9 2018 International Association of Lowland Technology. All rights reserved.The subsoil of Samutprakarn province in Thailand consists of thick sensitive very soft clay layer. The construction, such as pile driving and excavation work would lead to reduce the shear strength of very soft clay or induce the excess pore pressure on very soft clay. This paper presents the results of pile driving around the press pit reinforced concrete structure which was excavated and constructed on the very soft sensitive clay. The pile driving effect surrounding the press pit caused the uplift of press pit. The uplift of press pit was investigated by additional soil investigation, piezometer installation as well as coring the base slab of press pit. The investigation result was analyzed for clarifying the uplift behaviors before remedial work. At present, the remedial work was already completed.",
        "Classes": [
            "CE",
            "PE",
            "ME"
        ]
    },
    "216": {
        "Title": "Multi-objective worker allocation optimisation in a multiple U-line system",
        "Abstract": "\u00a9 2021, Emerald Publishing Limited.Purpose: This paper aims to evaluate two operational modes of the worker allocation problem (WAP) in the multiple U-line system (MULS). Five objectives are optimised simultaneously for the most complicated operational modes, i.e. machine-dominant working and fixed-station walking. Besides, the benefits of using multiline workstations (MLWs) are investigated. Design/methodology/approach: The elite non-dominated sorting differential evolutionary III (ENSDE III) algorithm is developed as a solution technique. Also, the largest remaining available time heuristic is proposed as a baseline in determining the number and utilisation of workers when the use of MLWs is not allowed. Findings: ENSDE III outperforms the cutting-edged multi-objective evolutionary algorithms, i.e. multi-objective evolutionary algorithm based on decomposition and non-dominated sorting differential evolutionary III, under two key Pareto metrics, i.e. generational distance and inverted generational distance, regardless of the problem size. The best-found number of workers from ENSDE III is substantially lower than the upper bound. The MULS with MLWs requires fewer workers than the one without. Research limitations/implications: Although this research has extended several issues in the basic model of multiple U-line systems, some assumptions were used to facilitate mathematical computation as follows. The U-line system in this research assumed that all lines were produced only a single product. Besides, all workers were well-trained to gain the same skill. These assumptions could be extended in the future. Practical implications: The implication of this research is the benefits of multiline workstations (MLWs) used in the multiple U-line system. Instead of leaving each individual line to operate independently, all lines should be working in parallel through the use of MLWs to gain benefits in terms of worker reduction, balancing worker\u2019s workload, higher system utilisation. Originality/value: This research is the first to address the WAP in the MULS with machine-dominant working and fixed-station walking modes. Worker\u2019s fatigue due to standing and walking while working is incorporated into the model. The novel ENSDE III algorithm is developed to optimise the multi-objective WAP in a Pareto sense. The benefits of exploiting MLWs are also illustrated.",
        "Classes": [
            "METAL",
            "ME",
            "MATH"
        ]
    },
    "217": {
        "Title": "Transformation of Bounded Timed Petri Nets into Event-B",
        "Abstract": "\u00a9 2019 IEEE.A timed Petri nets would practically represent the behavioral property of a real-time software system. Its computation and the clock times are defined and graphically simulated. However, this behavioral simulation is still tedious and ineffective when it comes to deal with the huge and complex systems. In this paper, a previous work of the automatic transformation of ordinary timed Petri nets into Event-B specification is extended to cope with the non-ordinary one which supports k-bounded places and the k-weighted arcs. The basic notations of the timed Petri nets are considered and mapped into the code fragments of Event-B. The final resulting Event-B codes are generated in the well-formed format and verified by an Event-B prover called Rodin tool.",
        "Classes": [
            "CPE",
            "MATH"
        ]
    },
    "218": {
        "Title": "Encoder Control Enhancement in HEVC Based on R-Lambda Coefficient Distribution",
        "Abstract": "\u00a9 2019 IEEE.Encoder control, known as Rate control, has been developed in the video coding standard to obtain the consistent video perceptual quality for various video applications. However, the pictures within a group of picture (GOP) are quite similar to each other, where the existing rate control, R-Lambda rate control, cannot address correctly. Hence, we propose the R-Lambda coefficient distribution in the latest video coding standard, High Efficiency Video Coding (HEVC), to enhance the prediction of encoder control. The experimental results show the proposed algorithm can accomplish slightly better video perceptual quality of the reconstructed video than the original rate control in HEVC reference software (HM-16.10).",
        "Classes": [
            "EE",
            "IE"
        ]
    },
    "219": {
        "Title": "Investigation of Leukocyte Viability in A Setup of Spiral Microchannel for Cell Sorting Application",
        "Abstract": "\u00a9 2018 IEEE.Recently, a spiral microchannel has been receiving remarkable attentions in a field of biology for cell separation. Because it could separate different sizes of cells and has potential to integrate together with other components for a biological study of a single cell. However, hydrodynamic forces in spiral section and other components could potentially cause cell to death and change in cell physical and biological properties, but there was rarely such study so far. Therefore, the investigation of cell viability in a setup of spiral microchannel including feeding system and spiral microchannel was performed in this work. Beside the cell viability investigation, the change in cell morphology and intracellular structures were also investigated. The results indicated that stresses - extensional and shear stresses might be the important factors affecting cell death. The significant loss of cell viability was not found in feeding system but 15-18% of cell loss occurred in a spiral microchannel instead.",
        "Classes": [
            "BME"
        ]
    },
    "220": {
        "Title": "Undrained Stability of Unlined Square Tunnels in Clays with Linearly Increasing Anisotropic Shear Strength",
        "Abstract": "\u00a9 2019, Springer Nature Switzerland AG.In general, the undrained strength anisotropy of clays is found in nature. Its effect on a stability problem during undrained loading should be considered in order to get a more accurate and realistic safety assessment. In this paper, the undrained stability of unlined square tunnels in anisotropic and non-homogeneous clays is investigated by the lower bound finite element limit analysis using second-order cone programming. The anisotropic undrained strength of clays is modelled by using an elliptical strength envelope under plane strain conditions. The stability analyses of the problem are performed by the comprehensive investigations of the effects of the cover-depth ratio, the normalized overburden pressure, the normalized strength gradient, and the anisotropic strength ratio on the stability load factor and associated failure mechanisms. The computed lower bound solutions are validated with the existing results of square tunnels in isotropic clays. The new approximate equations of the stability load factor and factor of safety for square tunnels in anisotropic and non-homogeneous clays are first time presented by using a nonlinear regression, hence providing a reliable, accurate and convenient tool for stability analyses of the problem in practice. The numerical results reveal that the strength anisotropy has a significant impact on the stability load factor, especially when anisotropic clays have much difference in undrained strengths between compression and extension.",
        "Classes": [
            "SAFETY",
            "MATH",
            "MATSCI"
        ]
    },
    "221": {
        "Title": "Comparison of different kraft lignin-based vanillin production processes",
        "Abstract": "\u00a9 2018 Elsevier LtdThis work employed a systematic methodology and process intensification concepts to improve the state-of-the-art vanillin production process from kraft lignin. Particular focus was put on the use of different product separation techniques, including solvent extraction using ethyl acetate, benzene, organic nanofiltration, and adsorption by zeolite. The performance of each proposed process was evaluated in terms of energy consumption, process economics, and environmental impacts. Simulation of the vanillin production processes was performed using the Aspen Plus program while the economic and environmental analyses were conducted using economic analysis tools and LCSoft, respectively. The results revealed that the process using adsorption by zeolite is the best alternative. It offered a slight improvement in energy consumption while its economic result showed 7.37% improvement. It also caused the least environmental impact in all categories.",
        "Classes": [
            "ENV",
            "PE",
            "CPE",
            "CHE",
            "MATENG",
            "IE"
        ]
    },
    "222": {
        "Title": "Patient aid message notification system based on hand movement tracking and haar-like features",
        "Abstract": "\u00a9 2018 IEEEThe human-computer interaction (HCI) has an important role in human lives for decades. One important area includes an assistive technology in medical system. An application such as patient monitoring is useful for both patients and caregivers. This work aims to help patient with speaking problem to communicate with other people without the need of using voice. This paper applies a combination of machine learning technique based on Haar-like features and a movement tracking method to identify direction of patient hand movement. Each moving direction is bound to a given message. The message is also displayed on a screen and sent to caregivers via a notification system. The experimental results show that the system provides satisfying outcomes in both recognition and movement tracking.",
        "Classes": [
            "BME",
            "CPE"
        ]
    },
    "223": {
        "Title": "Electrochemical bicarbonate reduction in the presence of Diisopropylamine on sliver oxide in alkaline sodium bicarbonate medium",
        "Abstract": "\u00a9 2018 Published by Elsevier Ltd.In this study, the reduction of bicarbonate in the presence four amines on a silver oxide/ carbon nanotube (Ag2O/CNT) composite electrode has been investigated. The studied amines includes ethanolamine (MEA), diethylenetriamine (DETA), diisopropylamine (DIPA) and aminoethylpiperazine (AEP). Regardless of amine type, in the absence of a bicarbonate solution, no reduction/oxidation peaks were observed. However, in the presence of bicarbonate, a single reduction peak along with simultaneous H2 evolution was clearly observed. The cyclic voltammetry measurements showed that only diisopropylamine (DIPA) had a significant catalytic effect toward bicarbonate reduction on the composite electrode. No peak was observed in the anodic direction of the reverse scans, suggesting the irreversible nature of the electrochemical process. The effect of scan rate revealed that the irreversible reduction mechanism is governed by both diffusion and adsorption pathways. In addition of carbonate ions, format ions also have been detected in liquid phase. In order to study the mechanism of bicarbonate reduction in the DIPA solution on Ag2O/CNT electrode, electrochemical impedance spectroscopy (EIS) was employed. The EIS results showed that the charge transfer resistance decreased when the potential decreased from -0.1 to -0.9 V then faded with a further rise in potential to up to -1.9 V. In addition, an inductive loop under certain conditions was observed in the complex plane due to the formation of adsorbed intermediates onto the electrode surface.",
        "Classes": [
            "NANO",
            "CHE"
        ]
    },
    "224": {
        "Title": "Formation of Alpha-Case Layer During Investment Casting of Pure Ti and Ti-6Al-4V Using Comparative XRD and EXAFS Investigation",
        "Abstract": "\u00a9 2019, The Minerals, Metals & Materials Society and ASM International.In titanium casting, a reaction byproduct known as alpha-case is a hard and brittle phase layer that exists on the surface of cast objects. This reaction layer may be detrimental to the mechanical properties of cast objects and may complicate the finishing processes. To investigate the formation of the alpha-case layer during the casting of commercially pure titanium (CP-Ti) and Ti-6Al-4V alloy, both metal ingots were cast in spinel-based investments in a controlled environment. The cast samples were metallographically prepared and analyzed for the thicknesses of alpha-case layer depth and the metal matrix. The samples were characterized using light microscopy, Vickers microhardness testing, X-ray diffractometry, and extended X-ray absorption fine structure spectrometry. The alpha-case layer on the CP-Ti cast sample was thicker than that of the Ti-6Al-4V cast sample due to the ability of the \u03b1-titanium matrix to uptake oxygen faster, which in turn is attributed to the higher diffusion coefficient of the \u03b1-titanium phase. A metastable Ti3O phase was observed as an intermediate reaction product which could be transformed into the alpha-case layer and the \u03b1-titanium phase.",
        "Classes": [
            "METAL",
            "EE",
            "CHE",
            "MATSCI"
        ]
    },
    "225": {
        "Title": "Thai Named-Entity Recognition using variational long short-term memory with conditional random field",
        "Abstract": "\u00a9 Springer Nature Switzerland AG 2019.Thai Named-Entity Recognition (NER) is a difficult task due to the characteristics of Thai language such as the lack of special character that separates named-entity from other word types. Previous Thai NER system heavily depends on human\u2019s knowledge in a form of feature selection and external resources such as dictionaries. A recent trend in NER research shows that deep learning approach can be used to train high-quality NER system without resorting on these external resources. In this paper, we present a deep learning model that combines recurrent neural networks with a probabilistic graphical model, as well as, a variational inference-based dropout approach. We benchmark our model on one of the largest Thai corpora called \u201cBEST 2010\u201d. Our model outperforms all baseline methods without relying on extra manually annotated resources and external knowledge.",
        "Classes": [
            "CPE"
        ]
    },
    "226": {
        "Title": "Comparison of electron temperature in DC glow discharge and AC glow discharge plasma",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.Knowing electron temperature and electron density is important for any plasma related applications. In this research, the electron temperature and electron density of argon plasma generated by low frequency AC power supply and a high voltage DC power supply were investigated. The measurements were compared, both experimentally and theoretically. For the experiment, a long glass cylindrical tube was used as a chamber where the electrodes were placed at 37.5 cm apart. A high voltage function generator power supply was operated at various frequencies and it was also used for DC operation. The electron temperatures were measured by Optical Emission Spectroscopy (OES) technique for different operating pressures of 0.1 mbar, 0.6 mbar and 1.1 mbar. For the simulation, both plasma theory and finite element method were used to simulate dynamics of the plasma in the cylindrical setup. From the experiment, the range of breakdown voltage was found to be between 0.80 to 2.3 kV. The length of DC glow discharge dark regions of the plasma decreases due to increasing in both operating pressure and voltage. AC glow discharge shows positive charge and negative charge swing. From the DC discharge, the maximum value of electron temperature was found to be 0.810 eV and the minimum value was 0.610 eV under the operating pressure 0.1 and 0.6 mbar respectively. From AC glow discharge plasma, the maximum electron temperature was 0.907 eV and the minimum was 0.540 eV under operating pressure 0.1 and 1.1 mbar respectively. Collision loss between ions and electrons causes this variation in the results.",
        "Classes": [
            "EE",
            "MATSCI"
        ]
    },
    "227": {
        "Title": "Design and function of a nitrogen and sediment removal system in a recirculating aquaculture system optimized for aquaponics",
        "Abstract": "\u00a9 2021 Korean Society of Environmental Engineers.Aquaponic systems (APSs) are based upon the sustainable utilization of nitrogen and phosphorus from a recirculating aquaculture system (RAS) as the nutrient source for plant production. Since the proper management of nitrogen and suspended solids are important for nutrient utilization efficiency, their optimization was evaluated. The RAS integrated with filtration unit and nitrifying biofilter provided complete nitrification without solid accumulation. Under the optimal treatment condition for 16 d, the treated water was low in ammonia (0 mg-N/L) and high in nitrate (> 6 mg-N/L) concentrations, which was appropriate for use in the cultivation of lettuce (Lactuca sativa). The RAS was then incorporated with hydroponics at a 5:1 fish: plant weight ratio. Moreover, the simplified APS was compared with a typical APS system that incorporated filtration unit and nitrifying biofilter. The natural growth of nitrifying microorganisms in the simplified APS could perform complete nitrification after 20 d of operation giving low ammonia and nitrite concentrations. The nutrient removal efficiency of the simplified APS resembled the typical system. During the aquaponics, the hydroponic unit in the aquaculture system was sufficient to control the nutrient concentrations within the appropriate levels for fish cultivation, i.e. nitrate (< 20 mg-N/L) and phosphate (< 3 mg-P/L).",
        "Classes": [
            "ENV",
            "CHE",
            "AGRI",
            "IE"
        ]
    },
    "228": {
        "Title": "Stress intensity factor for wide-flange steel member with crack surface interference",
        "Abstract": "\u00a9 2018 Elsevier LtdThis paper presents a physically acceptable analysis of stress intensity factor (SIF) for a two-tip web crack in the wide-flange (W shape) steel member widely used in steel construction subjected to the linear distribution loading. The analysis includes the effect of crack surface interference, i.e., crack surfaces are not allowed to overlap, that magnifies the SIF and crack opening displacement (COD) in an opened portion of the crack. For a range of possible web cracks in typical hot-rolled W shapes listed in the AISC Steel Construction Manual, the effective mode-I SIF is a function of applied stress, web crack length, crack eccentricity, and flange-to-web area ratio of the W shape. The depth-to-width ratio of W shape is not a significant parameter in the calculation of SIF. The analysis results show that the conventional (overlapping) solution underestimates the SIF at the tension-side crack tip under bending up to 12%. The effect of crack surface interference only exists between the conditions for complete crack opening and complete crack closure. Both conditions are governed by axial-to-bending stress ratio.",
        "Classes": [
            "CE",
            "ME",
            "MATH",
            "MATSCI"
        ]
    },
    "229": {
        "Title": "Comparing Filtering Techniques in Restaurant Recommendation System",
        "Abstract": "\u00a9 2018 IEEE.This paper studies the key analytics of the restaurant recommendation system, namely predicting restaurant satisfaction rating based on customer and restaurant characteristics. As food industry grows and offers more variety of restaurants, customers generally have difficulty discovering a restaurant that suits or satisfies them. This paper aims to predict restaurant satisfaction rating based on three methodologies: content-based filtering, collaborative filtering, and hybrid filtering. For content-based filtering, this paper proposes using regression to create a prediction model from customer and restaurant characteristics. For collaborative filtering, our proposed model employs a combination of cluster analysis, similarity test, and weighted sum in order to analyze factors that influence the satisfaction rating. Cluster analysis helps to reduce the impact of sparsity in collaborative filtering. Subsequently, hybrid filtering is proposed to combine the results from the two techniques above to generate the final rating. Our results have shown that hybrid filtering outperforms content-based filtering using regression model and collaborative filtering using cluster-based technique.",
        "Classes": [
            "CPE",
            "EDU",
            "MATH"
        ]
    },
    "230": {
        "Title": "STRUCTURAL MODELLING IN FINITE ELEMENT ANALYSIS OF DEEP EXCAVATION",
        "Abstract": "\u00a9 2019 Taiwan Geotechnical Society.Due to advancements in computation, most deep excavation projects are now designed based on the results of numerical analysis. However, designers are usually careless about structural modelling. This study presents the effect of structural modelling on wall deformations of deep excavation. A 3D finite element method was employed to model the problem, and a residential building project located in Bangkok was selected for the study. Structural models, including diaphragm wall, diagonal braces, and bored piles, were the focus of study, which indicates that the types of elements used to model the structure system significantly affect the finite element analysis result.",
        "Classes": [
            "CE",
            "MATH"
        ]
    },
    "231": {
        "Title": "Innovative seawater uranium recovery agent based on low-cost polyacrylonitrile fibers",
        "Abstract": "\u00a9 2020 Elsevier LtdAn innovative seawater uranium adsorbent was prepared from the low-cost and commercially-available polyacrylonitrile (PAN) fibers. The optimum condition to synthesize the adsorbent was to irradiate the PAN fibers with 100 kGy gamma ray, amidoximate in 3 (w/v)% hydroxylamine hydrochloride solution for 75 min at 75 \u00b0C, yielding the PAN nitrile group conversion of approximately 60%. At 100 kGy, the degree of crystallinity of the irradiated fibers was also highest at 79.1%. The performances of the adsorbent in seawater samples were excellent. By submersion in the seawater sample spiked with 250 ppb of uranium for 4 weeks, the prepared fibers exhibited the adsorption capacity of 32.28 mg/g adsorbent. By submersion in seawater samples spiked with 76.5 ppm of uranium for 1 week and 945 ppm of uranium for up to 4 weeks, the fibers exhibited the adsorption capacities of 111.25 and 200.07 mg/g adsorbent, respectively. The adsorbent showed a uranium adsorption capacity of 0.11 mg/g adsorbent for 8 weeks of soaking in brine concentrate from a seawater reverse osmosis plant. The kinetics of seawater absorption by the adsorbent was quite rapid, reaching the equilibrium swelling ratio of approximately 300% in 5 min or less. Another important finding was that the prepared PAN fibers exhibit the characteristics of a superabsorbent material (equilibrium swelling ratio in DI water of 5,550%). The low cost and the ease of preparation of the fibers offer a novel environmental remediation process to adsorb uranium ions released into seawater following a nuclear accident.",
        "Classes": [
            "METAL",
            "CHE",
            "IE",
            "MATSCI"
        ]
    },
    "232": {
        "Title": "Natural radioactivity concentration in traditional Thai herbal medicine",
        "Abstract": "\u00a9 2019 Published under licence by IOP Publishing Ltd.The aim of this study is to create a database of radioactivity concentration and annual effective dose of the naturally occurring radionuclides: 226Ra, 228Ra, 40K and 210Po in Thai medicinal herb plants. 99 types of popular Thai medicinal herb plants (total of 214 samples) such as Curcuma comosa Roxb., mucuna, white kwao krua, barbed grass, black galingale, lingzhi mushroom, Ginkgo biloba, jiaogulan, plu kaow, turmeric, ginger, safflower, moringa, gotu kola and garlic were randomly collected from drug stores and herbal fair. The activity concentration of 226Ra, 228Ra and 40K in all herb samples was determined by gamma-ray spectrometry while that of 210Po was determined by alpha spectrometry. The activity concentration was found to range from <0.20 to 89.92 Bq kg-1 for 226Ra, from <0.10 to 39.62 Bq kg-1 for 228Ra and from 4.83 to 2761.33 Bq kg-1 for 40K and from 0.32 to 47.13 Bq kg-1 for 210Po. The highest activities concentration of 226Ra, 228Ra, 40K and 210Po were found in the white kwao krua, jiaogulan, plu kaow and ginkgo, respectively. The average total annual effective dose due to ingestion of these herbal plants was assessed to range from 0.0001 to 0.0327 mSv y-1, with highest dose found in jiaogulan.",
        "Classes": [
            "ME",
            "MATSCI"
        ]
    },
    "233": {
        "Title": "Lower bound limit analysis of an anisotropic undrained strength criterion using second-order cone programming",
        "Abstract": "Copyright \u00a9 2018 John Wiley & Sons, Ltd.In this paper, the formulation of the lower bound limit analysis of an anisotropic undrained strength criterion using second-order cone programming is described. The finite element concept was used to discretize the soil mass into 3-noded triangular elements. The stress field was modeled using a linear interpolation within the elements while stress discontinuities were permitted to occur at the shared edges of adjacent elements. An elliptical yield criterion was adopted to model the anisotropic undrained strength of the clay. A statically admissible stress field was defined by enforcing the equilibrium equations within all triangular elements and along all shared edges of adjacent elements, stress boundary conditions, and no stress violation of the anisotropic strength envelope cast in the form of a conic quadratic constraint. The lower bound solution of the proposed formulation was solved by second-order cone programming. The proposed formulation of the anisotropic undrained strength criterion was validated through comparison of the model's predictions with the known exact solutions of strip footings, and was applied to solve undrained stability of a shallow unlined square tunnel. Computational performance between the proposed approach of second-order cone programming and linear programming was examined and discussed.",
        "Classes": [
            "MATH",
            "MATSCI"
        ]
    },
    "234": {
        "Title": "Investigation of the Morphology of InSb/InAs Quantum Nanostripe Grown by Molecular Beam Epitaxy",
        "Abstract": "\u00a9 2019 WILEY-VCH Verlag GmbH & Co. KGaA, WeinheimThe dimensions and morphologies of quantum nanostructures are keys to controlling an operating wavelength to a desirable wavelength range due to the quantum effect. The dimension and morphology evolutions of InSb/InAs quantum nanostructures grown by molecular beam epitaxy with respect to the number of InSb monolayers (MLs) are investigated. The formation of the quantum nanostructures is dominated by lateral growth, in which the morphology is further elongated as the number of MLs is increased. Such an anisotropic growth is explained by the difference in the surface energy along each direction, which corresponds to different atomic arrangements in the crystalline structure of InSb. Cross-sectional transmission electron microscopic images show a reduction in the lateral dimension and an increase in the height of the embedded InSb quantum nanostructures when they are embedded in the InAs matrix. The results herein provide a means for obtaining the precise control over dimensions and morphologies of the InSb/InAs nanostructures, which is essential for extending the operating wavelength further into the mid-infrared region.",
        "Classes": [
            "EE",
            "NANO",
            "CHE",
            "MATSCI"
        ]
    },
    "235": {
        "Title": "A review of feature extraction and performance evaluation in epileptic seizure detection using EEG",
        "Abstract": "\u00a9 2019 Elsevier LtdSince the manual detection of electrographic seizures in continuous electroencephalogram (EEG) monitoring is very time-consuming and requires a trained expert, attempts to develop automatic seizure detection are diverse and ongoing. Machine learning approaches are intensely being applied to this problem due to their ability to classify seizure conditions from a large amount of data, and provide pre-screened results for neurologists. Several features, data transformations, and classifiers have been explored to analyze and classify seizures via EEG signals. In the literature, some jointly-applied features used in the classification may have shared similar contributions, making them redundant in the learning process. Therefore, this paper aims to comprehensively summarize feature descriptions and their interpretations in characterizing epileptic seizures using EEG signals, as well as to review classification performance metrics. To provide meaningful information of feature selection, we conducted an experiment to examine the quality of each feature independently. The Bayesian error and non-parametric probability distribution estimation were employed to determine the significance of the individual features. Moreover, a redundancy analysis using a correlation-based feature selection was applied. The results showed that the following features \u2013 variance, energy, nonlinear energy, and Shannon entropy computed on a raw EEG signal, as well as variance, energy, kurtosis, and line length calculated on wavelet coefficients \u2013 were able to significantly capture the seizures. When compared with a baseline method of classifying all epochs as normal, an improvement of 4.77\u201313.51% in the Bayesian error was obtained.",
        "Classes": [
            "BME",
            "EE",
            "CHE",
            "MATH"
        ]
    },
    "236": {
        "Title": "Antral contraction rate estimation from dynamic antral scintigraphy using Hilbert-Huang transform",
        "Abstract": "\u00a9 2019 Elsevier LtdConventional analysis of the gastric antral contraction rate (ACR) utilizes the Fourier transform (FT) which does not effectively capture the non-stationary property of dynamic antral scintigraphy (DAS). In this study, we showed that application of Hilbert-Huang transform (HHT) on DAS yielded better estimates of ACR. Specifically, the time activity curves were extracted from the DAS data of 18 healthy volunteers and subjected to FT and HHT analyses. Comparison of the mean, standard deviation (SD), and root mean square error (RMSE) of ACR estimated by both methods showed that the proposed HHT method yielded significantly smaller SD (p<0.00001), smaller relative SD (13.3% versus 53.7%) and RMSE (0.72 cpm versus 1.59 cpm). Moreover, the HHT method also achieved lower relative SD of the frequency values from the intrinsic mode functions. Overall results indicated that the HHT method outperformed the conventional FT method in estimating the ACR from DAS. We anticipate that our approach will lead to development of effective noninvasive diagnoses of gastrointestinal tract diseases using DAS.",
        "Classes": [
            "BME",
            "EE",
            "MATH"
        ]
    },
    "237": {
        "Title": "Molecular Beam Epitaxial Growth of InSb and AlSb Heterostructure on InSb Substrates",
        "Abstract": "\u00a9 2019 IEEE.Surface morphology of epitaxial InSb and AISb layers grown on (001) InSb substrate is reported. The growth is done by molecular beam epitaxy. Attempt to realize planar crystalline InSb layer is made. Preliminary promising results are obtained with in-situ reflection high electron energy diffraction and atomic force microscopy observations.",
        "Classes": [
            "EE",
            "OPTIC",
            "CHE",
            "MATSCI"
        ]
    },
    "238": {
        "Title": "Metal Artifact Reduction by Mapping MR into CT Information",
        "Abstract": "\u00a9 2018 IEEE.One of the fundamental noise in Computed Tomography (CT) imaging is metal artifact. The artifact leads to the information loss. Magnetic Resonance (MR) imaging is not affected by this artifact. In this paper, we propose using the information from MR images to reproduces the information lost due to dental filling in CT images. First, we register the CT and MR images of the same patient. Then, we classify the skull into 3 regions: teeth, tissue near the teeth and others. For teeth and tissue near the teeth, we develop the mapping function between the intensity in the MR image to the mean intensity in the CT image. The pixels corrupted by the metal artifact are detected and their intensity are changed according to the mapping function with its MR intensity as the input. The proposed method significantly removed metal artifacts and could be used to improve the diagnosis and planning accuracy.",
        "Classes": [
            "CE",
            "BME",
            "EE",
            "CPE",
            "OPTIC"
        ]
    },
    "239": {
        "Title": "Bio-based production of carbon nanotubes via co-pyrolysis of eucalyptus oil and ferrocene",
        "Abstract": "\u00a9 2021To comply with the sustainable development goals (SDGs), bio-based production of carbon nanotubes (CNTs) was investigated using co-pyrolysis of eucalyptus oil and ferrocene instead of non-valorizable petroleum-based hydrocarbons. Attributed to high carbon content of eucalyptus oil, CNTs with substantial yield could be produced within a pyrolyzing temperature (Tp) range of 800\u2212900 \u00b0C and different molar ratios of eucalyptus oil to ferrocene (Rof) including 1:1, 2:1 and 3:1. Typical FESEM analyses of as-produced CNTs revealed that CNTs with agglomeration of amorphous carbon could be produced at low Tp and low Rof. Meanwhile higher Tp and Rof could provide CNTs with lower content of amorphous carbon. TGA analyses could confirm the superior thermal stability of the resultant CNTs which were produced at high Tp and Rof. The highest CNT yield of about 45 % was obtained at Tp of 850 \u00b0C and Rof of 1:1. It could be confirmed that Tp of 900 \u00b0C and Rof of 3:1 was the optimal condition for production of high quality CNTs from valorizable eucalyptus oil.",
        "Classes": [
            "ME",
            "NANO",
            "CHE",
            "MATSCI"
        ]
    },
    "240": {
        "Title": "A Control Methodology of Inverter-Based Battery Energy Storage System for AC Microgrid",
        "Abstract": "\u00a9 2019 IEEE.Control Methodology of inverter-based Battery Energy Storage System (BESS) is a key issue for the operation of AC microgird. In this paper, the voltage-mode control of inverter is considered and the control scheme of inverter for BESS is presented. Virtual synchronous generator is a core function and the frequency droop control and Automatic Voltage Regulator (AVR) form the outer cascade loops. The resynchronization of microgrid is rigorously studied, the concept of vector Phase-Locked-Loop (PLL) is adopted and formed as the outside cascade loop. Simulation is conducted by a pilot-site microgird at Mae Hong Son, Thailand, where a 4 MW/1 MWh BESS is designed. During the grid-connected mode, the default function of BESS is spinning reserve operation, while BESS can help forming the grid throughout the islanding mode. In addition, the proposed control technique of BESS can make the transition between grid-connected and islanding modes seamlessly.",
        "Classes": [
            "EE",
            "CPE",
            "MATENG"
        ]
    },
    "241": {
        "Title": "Identification of zinc-ion battery via equivalent circuit model",
        "Abstract": "\u00a9 2019 IEEE.It is notable that zinc-ion batteries (ZIBs) show an up-and-coming trend to replace Li-ion batteries (LIBs) in the future. As yet, no intensive study has provided measurable recognition of this trend. Nevertheless, the present work sets out to find a prototype to validate the above trend towards the use of zinc-ion batteries. To this end, both the traditional equivalentcircuit model (ECM) combined with the recursive least squares (RLS) method were employed to identify such a model. Hence, the model was obtained via hybrid pulse power characterization test on a laboratory-scale battery. Results demonstrated excellent compatibility of this strategy to the dynamics of the ZIB. This can lead, therefore, to efficient battery-state prediction. The strategy can also benefit battery management system (BMS) development.",
        "Classes": [
            "METAL",
            "EE",
            "CPE",
            "MATH"
        ]
    },
    "242": {
        "Title": "Parametric study of hydrogen production via sorption enhanced steam methane reforming in a circulating fluidized bed riser",
        "Abstract": "\u00a9 2018 Elsevier LtdComputational fluid dynamics was applied for sorption enhanced steam methane reforming (SESMR) operating in a circulating fluidized bed (CFB) riser. The solid mixtures consisted of Ni-based catalyst and CaO sorbent. The aim of study was to design a proper pilot-scale CFB riser which produced hydrogen (H2) with both high purity and high flux. The design parameters and the reaction parameters were examined with 2k full factorial design. The significances of each parameter were analyzed by analysis of variance. Using the optimum result, the highest H2 purity reached 98.58% in dry basis accompanied with the highest H2 flux of 0.301 kg/m2 s. The hydrodynamics of this optimum case showed that SESMR was nearly completed since 5.0 m height because axial and radial distributions of solid were well developed without excessive segregation between catalyst and sorbent. Thus, the H2 purity and the H2 flux approached fully developed within the riser height.",
        "Classes": [
            "PE",
            "CPE",
            "CHE"
        ]
    },
    "243": {
        "Title": "Food Image Categorization Using Attentional Bilinear Model",
        "Abstract": "\u00a9 2019 IEEE.Nowadays, many food images are posted on various social network platforms without identification labels. An automatic food categorization application would greatly help to identify and classify food categories. Food categorization is a complex problem since the number of category types can be more than one hundred. Many kinds of food are similar with only subtle differences in taste and presentation and this can lead to a problem called 'finegrained issue'. Recently, a bilinear model was employed which showed good accuracy and generated excessive features to capture details among different food categories, albeit with limited performance. Diverse food categories require disparate sets of features. Here, an attention mechanism was applied to capture suitable features and specifically identify each food category. Furthermore, the performance of a bilinear backbone was also enhanced by applying Inception in correlation with Inception-ResNet-v2 and Inception-v3 networks. The experiment was conducted on the Wongnai dataset containing various images that were separated into 83 classes. Results showed that our attentional model outperformed the traditional bilinear model, with an average of 16% improvement showing 3% and 44% as min-max performance values, respectively.",
        "Classes": [
            "AGRI"
        ]
    },
    "244": {
        "Title": "Transportation of part supply improvement in agricultural machinery assembly plant",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.This research focused on the problem caused by the transportation of part supply in agricultural machinery assembly plant in Thailand, which is one of the processes that are critical to the whole production process. If poorly managed, it will affect transportation of part supply, the emergence of sink cost, quality problems, and the ability to respond to the needs of the customers in time. Since the competition in the agricultural machinery market is more intense, the efficiency of part transportation process has to be improved. In this study, the process of transporting parts of the plant was studied and it was found that the efficiency of the process of transporting parts from the sub assembly line to its main assembly line was 83%. The approach to the performance improvement is done by using the Lean tool to limit wastes based on the ECRS principle and applying pull production system by changing the transportation method to operate as milkrun for transportation of parts to synchronize with the part demands of the main assembly line. After the transportation of parts from sub-Assembly line to the main assembly line was improved, the efficiency raised to 98% and transportation process cost was saved to 540,000 Baht per year.",
        "Classes": [
            "ME",
            "AGRI",
            "IE"
        ]
    },
    "245": {
        "Title": "Measurement of ballistic impact performance of fiber reinforced polybenzoxazine/polyurethane composites",
        "Abstract": "\u00a9 2018 Elsevier LtdThe objective of this study is to measure impact performance of the composite based on glass and aramid fiber reinforced polybenzoxazine/polyurethane composites. Experimental panels were manufactured from E and S glass fiber reinforced polybenzoxazine backed by aramid fiber reinforced 80/20 polybenzoxazine/polyurethane and subjected to 7.62 \u00d7 51 mm at a velocity of 847 \u00b1 9.1 m/s. Bases on test results the specimens did not have any perforation. Comparing the same number of ply, cone deformation on the last panel of S glass composite was significantly lower than that of specimen manufactured using E-glass composite. Such panels were tested for their resistance and the specimens completely resisted the penetration of projectiles for six shots. The numerical study of ballistic impact was undertaken to predict the ballistic limit velocity of the samples in which the value was measured to be 930 m/s. Results determined in this work indicated that such panels have an excellent ballistic characteristics to be used as raw material to manufacture body armor.",
        "Classes": [
            "CE",
            "MATENG",
            "MATH",
            "MATSCI"
        ]
    },
    "246": {
        "Title": "Semantic segmentation on remotely sensed images using an enhanced global convolutional network with channel attention and domain specific transfer learning",
        "Abstract": "\u00a9 2019 by the authors.In the remote sensing domain, it is crucial to complete semantic segmentation on the raster images, e.g., river, building, forest, etc., on raster images. A deep convolutional encoder-decoder (DCED) network is the state-of-the-art semantic segmentation method for remotely sensed images. However, the accuracy is still limited, since the network is not designed for remotely sensed images and the training data in this domain is deficient. In this paper, we aim to propose a novel CNN for semantic segmentation particularly for remote sensing corpora with three main contributions. First, we propose applying a recent CNN called a global convolutional network (GCN), since it can capture different resolutions by extracting multi-scale features from different stages of the network. Additionally, we further enhance the network by improving its backbone using larger numbers of layers, which is suitable for medium resolution remotely sensed images. Second, \"channel attention\" is presented in our network in order to select the most discriminative filters (features). Third, \"domain-specific transfer learning\" is introduced to alleviate the scarcity issue by utilizing other remotely sensed corpora with different resolutions as pre-trained data. The experiment was then conducted on two given datasets: (i) medium resolution data collected from Landsat-8 satellite and (ii) very high resolution data called the ISPRS Vaihingen Challenge Dataset. The results show that our networks outperformed DCED in terms of F1 for 17.48% and 2.49% on medium and very high resolution corpora, respectively.",
        "Classes": [
            "EE",
            "CPE",
            "EDU"
        ]
    },
    "247": {
        "Title": "Enhancing performance of maintenance in solar power plant",
        "Abstract": "\u00a9 2019, Emerald Publishing Limited.Purpose: The purpose of this paper is to enhance the performance of maintenance in a solar power plant by implementing the proactive maintenance (PaM) strategy, measured by the availability and the total maintenance workload. Design/methodology/approach: The prior maintenance strategy was reviewed, and then the strategy was adjusted to focus on PaM. Failure modes and effects analysis (FMEA) was a tool for analyzing the severity and occurrence of the failure modes and effects. Then, the Why\u2012Why analysis was used for investigating the root causes of failures. The countermeasures were drawn, and the preventive maintenance (PM) plan was revised and carried out. The total maintenance, the PaM and reactive maintenance workload, was obtained, and then the improvements were determined. The values of availability were also obtained. Findings: Previously, the appeared maintenance strategy was not clearly defined. It seemed to have reactive maintenance coupled with PM; it was checked once a year, and corrective actions were made when something wrong was found. Then the management team observed an increase in the reactive maintenance workload, whereas the values of availability were not consistent and tended to drop. After implementing the new maintenance strategy, PaM, the total maintenance workload decreased 14 percent in one year. The average availability of the solar power plant improved from 0.9943 to 0.9969, and the values of availability had better consistency. Practical implications: The PaM can be applied to solar power plant without limiting the prior maintenance strategy and the complexity of production or machinery. The solar power plant is a quite simple production, and most machines consist of electrical equipment and electrical circuits. The PaM supports to analyze the failure modes, the consequence of the failure events and failure effects, and to decide what should be done. Importantly, PaM can reduce total maintenance workload while the value of availability is higher and consistent. Originality/value: This paper states how to successfully implement the PaM for the solar power plant. Previously, the plant did not have a clearly defined maintenance strategy; it was checked once a year, and it was corrected when abnormalities were detected. The PaM strategy provides tools and processes for failures and effects analysis. Although there was a more workload of PM, the total maintenance workload decreased, even in the first year.",
        "Classes": [
            "ME",
            "EE",
            "IE",
            "SAFETY"
        ]
    },
    "248": {
        "Title": "Impact of Prosumers' PV reverse power flow on voltage rise in MV distribution systems",
        "Abstract": "\u00a9 2023 IEEE.This study examines the impact of reverse power flows from PV generation of the prosumers on medium voltage distribution feeders, without implementation of any curtailing strategies. Two test systems well-representing actual distribution feeders, one serving an industrial area and the other a commercial area, have been employed to analyze the impacts of voltage rise and power loss at various PV penetration levels, up to 80% on energy basis (equivalent to 234% on power basis). The simulated test results reveal that such impacts of reverse power flows from the PV prosumers can be manageable in all cases. Moreover, they contribute to reduction of power loss in respective cases. The study also compares the case of distributed PV installations (prosumers) versus the single-sited lumped PV installation (a producer). It is found that the latter causes more adverse impact on both voltage rise and power loss.",
        "Classes": [
            "EE"
        ]
    },
    "249": {
        "Title": "Weakly singular BIEM for analysis of cracks embedded in symmetric elastic whole space",
        "Abstract": "\u00a9 2018 International Association of Lowland Technology. All rights reserved.In this paper, a weakly singular boundary integral equation method is developed for the stress analysis of an anisotropic, linearly elastic, cracked whole space possessing a plane of symmetry. This study should offer an alternative powerful tool essential for the modeling of both near-surface and deeply embedded defects in a rock/soil medium. A system of governing equations is established using a pair of weakly singular, weakform, displacement and traction integral equations for the cracked whole space along with the symmetric condition. The final equations contain only unknown crack-face data in a lowerhalf of the whole space. In addition to their capability to treat cracks of arbitrary shape, material anisotropy and general loading conditions, all involved kernels are weakly singular allowing all integrals to be interpreted in the sense of Riemann. A symmetric Galerkin boundary element method together with the Galerkin approximation is implemented to solve the governing integral equations for the unknown crack-face data. To further enhance the accuracy and efficiency of the proposed scheme, special basis functions are introduced to approximate the near-front field and the interpolation technique is adopted to evaluate all kernels for generally anisotropic materials. The solved crack-face displacement data is then utilized to postprocess for the essential fracture information along the crack front. Various scenarios are employed to verify the proposed technique and a selected set of results is presented to demonstrate its accuracy and computational robustness.",
        "Classes": [
            "MATH",
            "MATSCI"
        ]
    },
    "250": {
        "Title": "Design and development of SECI and moodle online learning systems to enhance thinking and innovation skills for higher education learners",
        "Abstract": "\u00a9 2018, Kassel University Press GmbH.This study aimed to design and develop an online learning system to enhance thinking and innovation skills for higher education learners. The objectives were to (1) design a system diagram, system architecture and functional structure for online learning framed by the SECI process (Socialization, Externalization, Combination and Internalization) and Moodle, (2) develop an online learning management system (LMS) with a new plug-in using Moodle, and (3) evaluate system suitability for the development of students' thinking and innovation skills. The research methodology was developed using a literature review to identify core components, focus group interviews to verify the process, software development by Moodle LMS, and assessments to measure learning outcome. Research instruments consisted of interview questions, Moodle LMS, and a self-assessment questionnaire. Assessment data was evaluated through pre-test and post-test analysis. Results revealed a statistically significant difference between pre- and post-test scores in both thinking and innovation skills, with the post-test score higher than pre-test score at a 0.01 level of significance. Findings revealed that online learning systems had a positive influence on students' thinking and innovation skills.",
        "Classes": [
            "CPE"
        ]
    },
    "251": {
        "Title": "Electrochemical reduction of bicarbonate on carbon nanotube-supported silver oxide: An electrochemical impedance spectroscopy study",
        "Abstract": "\u00a9 2018 Elsevier LtdBicarbonate reduction on a silver-oxide (Ag2O)-based electrode was studied via cyclic voltammetry and electrochemical impedance spectroscopy techniques. The effects of electrode composition, electrolyte concentration and the scan rate (10\u2013250 mV/s) were investigated at a temperature of 27 \u00b0C. An optimum mass ratio of 70/30 (Ag2O/CNT) led to a maximum current density of 83 mA cm\u22122 at \u22120.43 V (VS Ag/AgCl). At scan rates between 10 and 250 mV/s, a negative shift with a displacement of around 1.032 V was observed \u2013 indicating the presence of irreversible reduction reactions. The observed irreversibility suggested that the reaction mechanism can be described by both diffusion and adsorption phenomena. The standard heterogeneous rate constant (ko) and the formal redox potential (Eo) were found to be 1.51 \u00d7 10\u22124 cm/s and 1.218 V, respectively. The EIS results confirmed the formation of the inductive loops at reduction potentials \u2013 a consequence of the adsorption of the generated species. A reduction in charge transfer resistance and a continual drop in the potential from \u22120.1 down to \u22121.4 V was also observed. This was accompanied by H2 evolution and bicarbonate production. The calculated pKa value of 10.20 upon the completion of the bicarbonate reduction reactions, confirmed the conversion of bicarbonate to carbonate ions.",
        "Classes": [
            "NANO",
            "CHE",
            "MATENG"
        ]
    },
    "252": {
        "Title": "Quantum Rough Counting and Its Application to Grover's Search Algorithm",
        "Abstract": "\u00a9 2018 IEEE.We propose in this paper a rough counting algorithm and modified version of Grover's search algorithm. The proposed counting algorithm uses Deutsch-Jozsa's algorithm to roughly estimate the number of items satisfying some search conditions by reconstructing the output distribution. The modified Grover's search combines the counting into one part of the algorithm and uses the counting result to determine the number of Grover's iterations taken to get such items. We provide an analysis of expected probability of the proposed algorithm taking into account the problem size, the number of satisfying items and the query complexity to show that the proposed modified Grover's search is optimal.",
        "Classes": [
            "MATSCI"
        ]
    },
    "253": {
        "Title": "Simulations of sorbent regeneration in a circulating fluidized bed system for sorption enhanced steam reforming with dolomite",
        "Abstract": "\u00a9 2019 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of SciencesIn this work, the sorption enhanced steam reforming (SESR) method was developed for improved hydrogen (H2) production, and the drawbacks of conventional steam reforming processes on H2 yield and purity were overcome. However, the SESR process is discontinuous and requires regeneration after sorbent saturation with CO2. The circulating fluidized bed reactor (CFBR) system has previously been proposed for continuous H2 production, with both reforming and sorbent regeneration occurring simultaneously. The main aim of this work was to determine the feasibility and performance of SESR with a proper design and conditions in conjunction with the CFBR system. The reforming riser and bubbling bed regenerator are studied separately but related to each other. Two-dimensional transient models using the Euler\u2012Euler approach and kinetic theory of granular flow were used for fluid dynamic simulations combined with the decarbonation kinetics of dolomite, to investigate a conceptual regenerator system and determine its key conditions. A mixture of the Ni-based catalyst and dolomite from the risers was injected with a flux of 200 kg/(m2 s) and a catalyst to sorbent ratio of 2.54 kg/kg. A double-stage bubbling bed regenerator system was designed with 1.2 m width, 0.8 m bed height, a gas inlet velocity of 0.2 m/s and solid preheating at 950 \u00b0C. The used dolomite was regenerated with an assumed CaO conversion of 3%; the almost fresh dolomite was then released with good mixing of the catalyst and sorbent.",
        "Classes": [
            "PE",
            "ME",
            "CPE",
            "CHE"
        ]
    },
    "254": {
        "Title": "Influence of acidity on the performance of silica supported tungsten oxide catalysts assessed by in situ and Operando DRIFTS",
        "Abstract": "\u00a9 2019 Elsevier B.V.The types of acidity on WOx/SiO2 catalysts prepared with different tungsten loadings (5 and 9 wt.% W) and pretreatment atmospheres (N2 and H2) were clarified by using the in situ diffuse reflectance infrared Fourier transform spectroscopy with temperature-programmed desorption (in situ DRIFTS-TPD) technique. Ammonia (NH3) acted as probe molecules that could block Lewis acid site type II (1620 cm\u22121) on the studied catalysts. The reactant feed containing 2% trans-2-butene or mixed feed of 2% trans-2-butene and 4% ethylene were used to investigate the reaction pathway on the WOx/SiO2 catalysts. Combining the Operando DRIFTS with gas chromatography-flame ionization detector (Operando DRIFTS-GC-FID) technique and in situ DRIFTS-TPD led to more deeply understanding of the correlation of acid sites and the primary cross metathesis reaction as the main reaction with isomerization of trans-2-butene as the side reaction. The adsorption energy of pulse chemisorption of 1-butene on catalyst by in situ DSC, confirmed the presence of the Lewis acid site type II related to the opportunity of 1-butene adsorption. The results confirmed that the Lewis acid site at 1620 cm\u22121 was crucial for the secondary metathesis reaction of 1-butene.",
        "Classes": [
            "PE",
            "METAL",
            "CHE"
        ]
    },
    "255": {
        "Title": "Variational Formulation of Interaction between Elastic Plate and Elastic Medium under the Influence of Surface Energy",
        "Abstract": "\u00a9 The Authors, published by EDP Sciences, 2018.A variational formulation of interaction problem is presented in this paper for the analysis of an elastic circular plate under axisymmetric vertical loading resting on an isotropic elastic half-space under the influence of surface energy. The Gurtin-Murdoch surface elasticity theory is adopted to take into account the surface energy effects. The contact surface between the plate and the half-space is assumed to be smooth, and the deflected shape of the plate is represented by a power series of the radial coordinate. The undetermined coefficients in the series are determined through the minimization of the total potential energy functional of the plate-half-space system. The accuracy of the present solution is verified by comparing with existing solutions, and selected numerical results are presented to portray the influence of surface energy effects on interaction between an elastic circular plate and an elastic half-space.",
        "Classes": [
            "CE",
            "MATH"
        ]
    },
    "256": {
        "Title": "Hotel Service Quality Factors among Different Cultures",
        "Abstract": "\u00a9 2019 IEEE.The aim of this study is to focus on hotel service quality from the SERVQUAL model by comparing six nationality, high ranking of customers in this hotel. To understand differences in the perceived service quality among customers from different nationalities Singapore, Australia, Israel, China, Thailand and The Great Britain. The study applied a self-administered questionnaire to measure the expectation and perception of service quality characteristics of hotel in Thailand. A total of 400 completely answers questionnaires were analyzed. The analysis shows that the demographic differences, the customers expectation varied. A proposed importance analysis grid for improvement was applied to prioritise areas of improvements. The quality attributes showed a significantly different level among different nationalities. The results obtained by this research can provide important clues to improve the perceived service quality by offering different quality improvement strategies to meet different nationalities needs.",
        "Classes": [
            "CE",
            "IE"
        ]
    },
    "257": {
        "Title": "Production of reducing sugar from cassava starch waste (CSW) using solution plasma process (SPP)",
        "Abstract": "\u00a9 2018 Elsevier LtdThe cassava starch processing plays an important role in food industries. During starch processing stage, a large amount of cassava starch waste (CSW) which mainly contains lost starch product and solid residue such as cassava bagasse are produced. Starch and cassava bagasse can be hydrolyzed into fermentable sugar such as glucose. In the present study, the solution plasma process (SPP) is used to treat CSW to prepare reducing sugar. The investigated parameters are treatment time, solvent concentration, applied pulsed frequency, and CSW concentration. The %yield of total reducing sugar (TRS) and glucose were calculated by DNS method and glucose assay kit, respectively. The chemical structure, morphology, and crystal structure of plasma-treated CSW were investigated. The results showed that the %yield of TRS was greatly enhanced by SPP treatment compared to that of acid hydrolysis. The CSW powder completely broke down into pieces after SPP treatment was applied. The amorphous and crystalline regions of CSW were destroyed during SPP treatment. SPP treatment of CSW with light sulfuric acid concentration of 0.08 M, applied pulsed frequency of 30 kHz, and CSW concentration of 0.5%w/v provided 99.0% TRS and 47.9% glucose.",
        "Classes": [
            "CHE",
            "AGRI",
            "MATSCI"
        ]
    },
    "258": {
        "Title": "Test case generation for WS-BPEL from a static call graph",
        "Abstract": "\u00a9 2019 IOP Publishing Ltd. All rights reserved.Web service is reusable, easy to maintain, widely used, and very popular. However, web service development is not adhered to any development languages in variety of platforms or frameworks. There must be a standard in controlling and coordinating a business process through a web service. This standard is called WS-BPEL. Web service testing is an important process in software development to meet the needs of business process. Recently some researches proposed concepts and tools used to generate test case for WS-BPEL, while they focus only a business processes within a single WS-BPEL file. This paper proposes an approach for generating a WS-BPEL test cases from a static call graph to support the case which has a calling subprocess between WS-BPEL files. The generated test cases are complied with test paths based on the branch coverage.",
        "Classes": [
            "CPE"
        ]
    },
    "259": {
        "Title": "Detecting points of interest in a city from taxi GPS with adaptive DBSCAN",
        "Abstract": "\u00a9 2018 IEEE.Points of Interest (POIs) are popular places that create activities and transportation demands in a city. As cities constantly evolve, keeping an up-To-date map of POIs is difficult. However, by observing digital footprints of people, including taxi pick-up and drop-off locations, we can detect hotspots of activities that indicate POI locations by using techniques such as point clustering. DBSCAN is a popular density-based clustering algorithm for geographic data points. However, the effectiveness of the algorithm relies on determining appropriate parameters that match the distribution pattern of data points. That is hard because pick-up and drop-off locations are distributed differently in different areas. This paper proposes a method to automatically determine the parameters of DBSCAN according to point distribution in each dataset. The algorithm has been applied to pick-up and drop-off locations of taxis in Bangkok. The experimental results show that the proposed method can effectively discovered POIs in areas with different distribution patterns.",
        "Classes": [
            "EDU"
        ]
    },
    "260": {
        "Title": "Exploring Home and Work Locations in a City from Mobile Phone Data",
        "Abstract": "\u00a9 2017 IEEE.Recently, mobile phone call detail records (CDR) have been used to study mobility patterns in cities. Since home and workplace are the most important places in people's lives and define the structure and activity patterns of the city, identifying home and work locations and home-work commuting patterns are of much interest. However, due to decreasing usage of voice calls and SMS, and low usage while people staying at home, identifying home and work locations are getting more difficult. In this paper, we develop a method to exploit daily-aggregated internet usage data (G-CDR) in addition to CDR for identifying work locations. We also develop a method for identifying home locations based on detecting sleeping time. This method can significantly increase home detection success rate and accuracy. From the identified home and work locations, we have explored the population distribution and commuting patterns of people in Bangkok.",
        "Classes": [
            "EE"
        ]
    },
    "261": {
        "Title": "An SDN framework for video conference in inter-domain network",
        "Abstract": "\u00a9 2018 Global IT Research Institute (GiRI).Video conference is the most popular application which is required high quality of service (QoS) such as delay and jitter. Several existing mechanisms for enhancing were proposed in the traditional network not only at the application side as video clients but also at the network core as network routers. Although, these mechanisms can provide a good quality of service, they require a lot of maintenance cost. In addition, the static routing with the shortest-path fashion at the network gateways is not enough to provide a high quality of service for video/audio data transferring due to the affectation of background traffic. Software Defined Network (SDN) is an emerging network architecture that allows a network operator to manage their network environment by programmable centralized control. This not only reduces the cost of maintenance but also increase the performance of networking. In this paper, we proposed an SDN framework for video conference in inter-domain network. The framework used the Packet Pair technique to consider the characteristics of bandwidth and end-to-end delay between two video conference clients. A transferring path and network gateway inside-domain are set up based on this information without a requirement of a routing modification of outside-domains. The evaluation results from Mininet emulator and OF@TEIN testbed show that our framework outperforms the traditional networking significantly in terms of QoS metrics.",
        "Classes": [
            "EE"
        ]
    },
    "262": {
        "Title": "Supervisory robust model predictive control for linear systems subject to parametric uncertainty and application to level control process",
        "Abstract": "\u00a9 2018 IEEEThis paper presents supervisory robust model predictive control (RMPC) for linear systems in the presence of parametric uncertainty. The control structure is cascade control where the outer loop controller is RMPC and the inner loop controller as proportional-integral (PI) controller. The parametric uncertainty appears in the dynamic matrix and input matrix and satisfies n orm-bounded c ondition. F irst, w e d erive i nner closed-loop model and use this model to design RMPC. The design of RMPC involves a min-max optimization problem which aims to find the optimal solution minimizing the worst case performance. We derive an upper bound of the worst case performance and apply Linear Matrix Inequality to determine the control input. We conduct the step tests on the level control loop and obtain 4 dynamic models. Numerical results reveal that supervisory RMPC can ensure reference tracking regardless of uncertain dynamics.",
        "Classes": [
            "CPE",
            "MATH"
        ]
    },
    "263": {
        "Title": "Characterization of N-type and P-type Aluminum Antimonides on Si substrates for room-temperature optoelectronic devices",
        "Abstract": "\u00a9 2018 Elsevier LtdTo develop Aluminum Antimonide (AlSb) -based optoelectronic devices on Si substrates, AlSb films were investigated for a good crystalline quality and suitable optical and electrical properties. Under an optimized growth condition by RF-magnetron sputtering technique, the AlSb films were grown at a sputtering power of 250 W and a pressure of 0.01 mbar in argon atmosphere and a precursor Al:Sb ratio of about 88:12. The undoped AlSb films were found to have a cubic crystal structure with (111) preferred orientation and a lattice constant of 5.9985 \u00c5 under compressive strain. For the doped AlSb samples with optimized doping contents, the AlSb:Si and AlSb:Cu films with higher compressive strain were found to have a smaller lattice constant of 5.9588 \u00c5 and 5.9667 \u00c5 respectively. Raman spectroscopy indicated strain states and lower crystalline quality induced by doping. The optical properties, analyzed by UV\u2013Vis spectrophotometry, showed that the undoped AlSb film was transparent to IR at around 850 nm, where the doped films were transparent to IR at longer wavelengths. To evaluate the electrical properties of the AlSb films, n-type AlSb:Cu and p-type AlSb:Si films were characterized by Hall-Effect measurements. To develop AlSb-based optoelectronic devices, a PIN diode structure was grown on Si substrate. The smooth interfaces between the AlSb layers and with Si substrate were confirmed by cross-sectional TEM micrographs. Finally, I-V measurements showed diode characteristics with a turn-on voltage of about + 1.5 V for forward bias and \u22120.5 V for reverse bias. In summary, the AlSb-based diode structure on Si substrate had been successfully fabricated by optimized sputtering deposition. This is promising for future development of the AlSb-based optoelectronic devices.",
        "Classes": [
            "METAL",
            "EE",
            "OPTIC",
            "MATENG",
            "MATSCI"
        ]
    },
    "264": {
        "Title": "Synthesis, thermal properties and curing kinetics of hyperbranched BPA/PEG Epoxy resin",
        "Abstract": "\u00a9 2019 by the authors. Licensee MDPI, Basel, Switzerland.The hyperbranched epoxy resins (HBE) composed of bisphenol A (BPA) and polyethylene glycol (PEG) as reactants and pentaerythritol as branching point were successfully synthesized via A2 + B4 polycondensation reaction at various BPA/PEG ratios. The 13C NMR spectra revealed that the synthesized HBE mainly had a dendritic structure as confirmed by the high degree of branching (DB). The addition of PEG in the resin enhanced degree of branching (DB) (from 0.82 to 0.90), epoxy equivalent weight (EEW) (from 697 g eq-1 to 468 g eq-1) as well as curing reaction. Adding 5-10 wt.% PEG in the resin decreased the onset and peak curing temperatures and glass transition temperature; however, adding 15 wt.% PEG in the resin have increased these thermal properties due to the lowest EEW. The curing kinetics were evaluated by fitting the experimental data of the curing behavior of all resins with the \u0160est\u00e1k-Berggren equation. The activation energy increased with the increase of PEG in the resins due to HBE's steric hindrance, whereas the activation energy of HBE15P decreased due to a large amount of equivalent active epoxy group per mass sample. The curing behavior and thermal properties of obtained hyperbranched BPA/PEG epoxy resin would be suitable for using in electronics application.",
        "Classes": [
            "ME",
            "CHE",
            "MATENG",
            "MATSCI"
        ]
    },
    "265": {
        "Title": "Computation of three-finger grasping plane",
        "Abstract": "\u00a9 2018 IEEE.Empowering a robot with ability to grasp has been a long dream in robotics. Despite serious research effort over many decades, even the most advanced robots still struggle in the area of grasping. The main challenge is how to deal with errors and uncertainty. In grasp planning, traditional methods such as ICR and caging deal with the uncertainty problem at the contact level and suffer the poor performances. This paper explores a more global outlook by aiming at finding a promising grasping plane (instead of individual points) to place the three contact points. The paper presents a heuristic method to find a plane through the object to place the three finger contact. The input of the method is the input mesh model of the object. Physical experiment is also presented to show the effectiveness of the method.",
        "Classes": [
            "CPE"
        ]
    },
    "266": {
        "Title": "Enhancement of strengths of high-calcium fly ash geopolymer containing borax with rice husk ash",
        "Abstract": "\u00a9 2021 Elsevier LtdThe objective of this study was to investigate the microstructure and mechanical properties of a high-calcium fly ash geopolymer prepared with borax modified by the addition of rice husk ash (RHA). The sodium silicate was replaced with borax, on an equal mass basis, at 0, 10, 20, and 30%. The results showed that the use of borax instead of sodium silicate reduced both the compressive and flexural strengths. The strength decreases when borax was used were related to the increase in the crystalline nature of the reaction products caused by the decreases in the Si/Al ratios of the gel phases formed. Moreover, incorporating 3.6\u20136.0% RHA into geopolymer mortars containing either hydrated borax or anhydrous borax led to an improvement in the compressive strength due to the formation of a Ca-modified N-A-S-H gel with a high Si/Al ratio during the reaction.",
        "Classes": [
            "CE",
            "PE",
            "METAL",
            "CHE",
            "MATENG",
            "MATSCI"
        ]
    },
    "267": {
        "Title": "An adaptive large neighborhood search for the multiple-day music rehearsal problems",
        "Abstract": "\u00a9 2021 The Author(s)This paper presents an Adaptive Large Neighborhood Search (ALNS) framework to solve the Multiple-Day Music Rehearsal Problem (MMRP), where music pieces with different player sets and durations are arranged in a predefined number of rehearsal days so that the total days of attendance and waiting times experienced by all players are minimized. Two variants of the MMRP, namely the MMRP without setup times (MMRP-0) and the MMRP with setup times (MMRP-1), are herein explored based on mathematical formulations of the Capacitated Vehicle Routing Problem (CVRP) and the Music Rehearsal Problem (MRP). Extensive computational results on 120 generated instances and 78 benchmark instances indicate that the ALNS is greatly efficient as it can provide equivalent or better solutions than the exact method and a benchmark heuristic from the literature, with much less computational time. We also find that the ALNS tends to perform better in large and complicated MMRP settings, considering that it outperforms the time-restricted CPLEX in 34 out of 120 generated instances and successfully finds 4 new best-known solutions to 8 large benchmark instances.",
        "Classes": [
            "IE",
            "MATH"
        ]
    },
    "268": {
        "Title": "Performance of CaO catalyst prepared from magnetic-derived CaCO3 for biodiesel production",
        "Abstract": "\u00a9 2021 Elsevier LtdThis paper studied the different CaCO3 crystal forms between calcite and aragonite under magnetic fields using calcocarbonic solution prepared from dissolving ground natural shell. The experiments were conducted by exposing the solution to magnetic fields. The characteristics of reprecipitated CaCO3 were investigated. The aragonite/calcite ratios were proportional to magnetic flux densities. The physicochemical properties of CaO catalysts from thermal decomposition of CaCO3 depended on polymorphic ratios. The performances of the catalysts for biodiesel reaction were studied. The transesterifications of palm oil and methanol were comparatively performed using CaO catalysts prepared from different CaCO3 polymorphs. The transesterification reacted by CaO prepared from all polymorphic ratios yielded more than 85% of biodiesel under optimal conditions. Some amount of calcium was leached into the reaction medium depending on different polymorphic ratios of precursors. However, the leached calcium did not enhance the biodiesel yield. In addition, CaO-600 mT catalyst is the most promising considering that it is a residual catalyst from shell waste. This green innovation shows major potential of producing biodiesel from plants with environmental and social benefits.",
        "Classes": [
            "PE",
            "EE",
            "CHE",
            "AGRI"
        ]
    },
    "269": {
        "Title": "Three-dimensional lower bound finite element limit analysis of Hoek-Brown material using semidefinite programming",
        "Abstract": "\u00a9 2018 Elsevier LtdA reliable and accurate stability analysis in Hoek-Brown rock masses under fully three-dimensional geometries requires an efficient and powerful computational method. This paper presents a computational implementation of a three-dimensional lower bound finite element limit analysis using semidefinite programming for Hoek-Brown rock masses. Its computational performance is investigated extensively through a variety of boundary value problems in rock mechanics, namely triaxial compression, bearing capacity and cavity contraction. New lower bound solutions are numerically derived, including bearing capacity of square footings, uniaxial compression of cube and cylindrical rock specimens with fully rough platens and tension test on double notched rock specimens.",
        "Classes": [
            "PE",
            "MATH"
        ]
    },
    "270": {
        "Title": "Activated carbon from bacterial cellulose as an effective adsorbent for removing dye from aqueous solution",
        "Abstract": "\u00a9 2018, \u00a9 2018 Taylor & Francis.Novel activated carbon (AC) derived from bacterial cellulose (BC-AC) was produced by phosphoric acid activation at a carbonization temperature of 500 \u00b0C. BC-AC possesses mesoporous structures of 2.3 nm in diameter, porosity of 1.0 cm3/g and surface area of 1734 m2/g with high thermal stability between 100 and 500 \u00b0C. BC-AC could be used as an effective adsorbent for removing methylene blue (MB) from aqueous solutions with the maximum adsorption capacity of 505.8 mg/g. BC-AC presented physisorption and the adsorption of MB was most likely to be a monolayer adsorption. The Redlich\u2013Peterson model displayed the best fit with the experimental data.",
        "Classes": [
            "CHE",
            "MATENG"
        ]
    },
    "271": {
        "Title": "Physics-based motion capture imitation with deep reinforcement learning",
        "Abstract": "\u00a9 2018 Association for Computing Machinery.We introduce a deep reinforcement learning method that learns to control articulated humanoid bodies to imitate given target motions closely when simulated in a physics simulator. The target motion, which may not have been seen by the agent and can be noisy, is supplied at runtime. Our method can recover balance from moderate external disturbances and keep imitating the target motion. When subjected to large disturbances that cause the humanoid to fall down, our method can control the character to get up and recover to track the motion. Our method is trained to imitate the mocap clips from the CMU motion capture database and a number of other publicly available databases. We use a state-of-the-art deep reinforcement learning algorithm to learn to dynamically control the gain of PD controllers, whose target angles are derived from the mocap clip and to apply corrective torques with the goal of imitating the provided motion clip as closely as possible. Both the simulation and the learning algorithms are parallelized and run on the GPU. We demonstrate that the proposed method can control the character to imitate a wide variety of motions such as running, walking, dancing, jumping, kicking, punching, standing up, and so on.",
        "Classes": [
            "CPE"
        ]
    },
    "272": {
        "Title": "Effects of Formation Brine Compositions on Effectiveness of Low Salinity Brine Injection in Carbonate Reservoir",
        "Abstract": "\u00a9 The Authors, published by EDP Sciences, 2018.Nowadays, Low Salinity Waterflooding (LSWF) is considered as one of the most effective techniques to enhance oil recovery. Essential mechanism is a Multi-Ion Exchange (MIE). In carbonate formation, collaboration of Potential Determining Ions (PDI) with rock surface and crude oil results in adjustment of surface equilibrium. These ions in injected brine are thoroughly investigated but effects from formation brine are not well documented. In this study, ratio of divalent ions including calcium and magnesium ions in formation brine is studied. Results from imbibition test shows that formation brine containing calcium ion to magnesium ion ratio of 1:1 yields response to LSWF. Oppositely, formation brines with high ratios of 10:1 and 15:1 do not respond to LSWF. As calcium ion in connate water diffuses to injected water, high calcium ion will exhibit dissolution mechanism of rock surface which is part of oil recovery mechanisms. Formation brine with high calcium ion is therefore not recommended for LSWF. High portion of magnesium ion in formation brine does not affect effectiveness of LSWF. Dissolution of magnesium from rock may be obstructed but oil can still be liberated from calcium carboxylate complex and dissolution of calcium. Coreflood test shows similar result which confirms previous explanation.",
        "Classes": [
            "ENV",
            "PE",
            "METAL",
            "CHE"
        ]
    },
    "273": {
        "Title": "Dielectric improvement from novel polymeric hybrid films derived by polylactic acid/nanosilver coated microcrystalline cellulose",
        "Abstract": "\u00a9 2017 Elsevier Ltd. All rights reserved.In this work, the hybrid films were fabricated by utilized the polylactic acid (PLA) as a matrix embedded by microcrystalline cellulose (MCC) extracted from bagasse by 10% (w/v) sodium hydroxide (NaOH). To enhance the dielectric property of the hybrid films, the polarity of MCC was then modified by surface coating with 1% by mole of silver. The physical and chemical properties of MCC and nanosilver coated microcrystalline cellulose (Ag-MCC) were characterized by FTIR, XRD, SEM and TGA. PLA with various ratios of MCC or Ag-MCC (1-5phr) were prepared as hybrid films by solution casting method. The dielectric properties of PLA, PLA/MCC and PLA/Ag-MCC hybrid films were measured at different frequencies ranging from 1kHz - 1MHz. The results exhibited that the PLA hybrid film with 3 phr of Ag-MCC offers the promising dielectric permittivity at 30 and the loss tangent about 0.08.",
        "Classes": [
            "CHE",
            "MATENG",
            "MATSCI"
        ]
    },
    "274": {
        "Title": "Visualization of promela with NS-Chart",
        "Abstract": "\u00a9 2019 IEEE.In the paradigm of model checking, a formal model is considered as one of the crucial sources that tends to be verified with the desired properties. The definition of the formal model should be understandable and clear in order to express the structure and behaviors of the system visually using diagrammatic tools. In this paper, we focused on the formal model which is written in Promela language that supports the non-determinism of the concurrent system. From our study, we found that the Promela syntax could probably be drawn by using NS-chart visual symbols. The classic NS-chart symbols represents the control flow of the system that was written in Promela. As a main purpose of this paper, we aim to propose a set of mapping rules for generating the NS-chart drawing from Promela source codes. The result of the drawing with the proposed NS-Chart syntax showed that the Promela control flow structure could be represented succinctly and the chart could be practically used for tracing the counterexample of the verification.",
        "Classes": [
            "CPE",
            "MATH"
        ]
    },
    "275": {
        "Title": "Knee implant orientation estimation for x-ray images using multiscale dual filter and linear regression model",
        "Abstract": "\u00a9 Springer International Publishing AG 2018.For every patient who had total knee replacement, the routine follow-up is needed for a post-operation observation. The orientations of tibia, femur and knee implants are of clinical interest to orthopedic surgeons. In a routine follow-up examination, an orthopedic surgeon has to measure the tilt angles or orientations of knee implants manually from an x-ray film which is not quite accurate and inconvenient. This paper proposes an algorithm to automatically estimate the orientations of knee implants from an x-ray image using multiscale dual filter and linear regression model. The algorithm can remove tissues and noise while preserving and enhancing the bones. The proposed algorithm was evaluated on a set of 91 frontal view X-ray images of knee with implants and the experimental results, which were verified by the orthopedic surgeons, reveal 92% acceptance rate.",
        "Classes": [
            "BME",
            "EE",
            "MATH"
        ]
    },
    "276": {
        "Title": "Exclusiveness Centrality: A Novel Centrality Measure to Find Behavioral Influencers on Twitter",
        "Abstract": "\u00a9 2018 IEEE.The measures to evaluate users' influence on social networking have driven considerable attention. Because of the complexity of modern social media circumstance, traditional centrality measures may sometimes fail to reveal the underlying structure of modern social networking service. In this paper, we propose a novel way to measure the influence on Twitter: Exclusiveness Centrality. We studied the behaviors of retweeting and following, delved into the value of each nodes for individual tweets, with the help of complete retweeting paths, we should gain some innovative insights by applying Exclusiveness Centrality to real-life data. The result shows that we have successfully found influential users in different domains.",
        "Classes": [
            "CPE"
        ]
    },
    "277": {
        "Title": "Supplier Selection Method: A Case-study on a Car Seat Manufacturer in Thailand",
        "Abstract": "\u00a9 2018 IEEE.The objective of this research is to develop a model for a case-study car seat manufacturer for evaluating steel pipe and steel sheet suppliers, known as raw material suppliers, by applying Analytic Hierarchy Process (AHP), and a model for selecting the suitable raw material supplier for each part. These models aim to maximize overall part makers' satisfaction. The evaluators are chosen from purchasing management team from 10 part makers. These assessors will evaluate 8 raw material suppliers. This research is divided into 2 parts. The first part is the evaluation of raw material suppliers using Analytic Hierarchy Process. This part weights the importance of decision criteria complying with part makers' satisfaction. The second part proposes a decision model for supplier selection using integer programming. The weight of each criterion from the first part will be considered along with raw material consumption to select the suitable raw material suppliers that maximize overall part makers' satisfaction. The results from the first part of this study show that the most important criterion is cost which is about 41%. Quality, Delivery, Service, and Risk factors are 24%, 14%, 12% and 9%, respectively. The second part shows that the model can match material suppliers to part makers according to their preference. Comparing with current situation, the satisfaction is increased by 26% with this proposed model. It means that the proposed model can help increase satisfactions between car seat makers and their suppliers, which benefit the parts supplied to the case-study company.",
        "Classes": [
            "IE",
            "MATH"
        ]
    },
    "278": {
        "Title": "Error detection sensitivity test using complex errors on three patient-specific VMAT QA systems",
        "Abstract": "\u00a9 2019 Published under licence by IOP Publishing Ltd.The purpose of this study was to investigate error detection sensitivity for three patient-specific volumetric modulated arc therapy (VMAT) quality assurance (QA) systems (Delta4, EPID-based dosimetry, and log file) with three possible scenarios. Ten patient-specific VMAT QA were randomly selected to test their error detection sensitivities. Artificial complex errors were introduced to the original plans then the QA tests were repeated. These errors were simulated into three possible scenarios: Uncertainty, miss-calibration, and worst-case scenario. For uncertainty scenario, the random errors (\u03c3) of multi-leaf collimators (MLC) at \u00b1 2.0 mm and gantry angle at \u00b1 2.0 degree were introduced. The systematic errors of +2MU, and the random errors of MLC and gantry angle at \u00b1 2.0 mm and \u00b1 2.0 degree were applied as a miss-calibration scenario. For worst case scenario, errors were integrated between systematic and random variation of MLC and gantry angle at 2\u00b10.5 mm and 2\u00b10.5 degree, respectively. The dosimetric agreements between QA tests on original versus artificial error plans were determined to investigate error detection sensitivity used gamma analysis with 3%, 3 mm criteria. EPID-based dosimetry showed the most sensitive QA tool to detect three possible scenarios. Log file was the second best method, whereas Delta4 was the worst method to detect three possible scenario errors.",
        "Classes": [
            "BME",
            "IE"
        ]
    },
    "279": {
        "Title": "Corrosion of amorphous alumina in deionized water under mild condition",
        "Abstract": "\u00a9 2019 Elsevier B.V.Alumina is known for its inertness and chemical resistance. Unless the condition is near the critical point, it is conventional to assume that the reaction between alumina and water does not take place within short period of time. This assumption also includes amorphous alumina, which is formed via sputtering to protect microelectronic components. This work shows that amorphous alumina film indeed reacts with deionized (DI) water within minutes even in mild conditions. The reaction results in defects on the surface of the alumina, which ultimately progresses into the film, causing a dense film to become porous, as though it had become corroded. Severe surface defects are formed within 60 min of immersion in deionized water at 50 \u00b0C. Characterizations of the corroded film and the study of the effects of various parameters on defect formation indicate that the defects are associated with the hydrolysis of the amorphous alumina.",
        "Classes": [
            "ENV",
            "CHE",
            "MATSCI"
        ]
    },
    "280": {
        "Title": "Mixture of MEA/2-MAE for effective CO2 capture from flue gas stream",
        "Abstract": "Copyright \u00a9 2018, AIDIC Servizi S.r.l.The climate change and global warming are the main environmental concerns because of CO2 emission into the atmosphere. The main sources of CO2 is from power plants in the form of flue gas. Recently, the effective technology to capture CO2 is chemical absorption by using aqueous amine solutions. The commonly used amine solution is monoethanolamine (MEA). It has disadvantages like low capacity and high energy consumption. 2-methylaminoethanol (2-MAE) as a new solvent has been formulated to improve the performance of CO2 mitigation but the cost of this chemical is higher. The two amines are mixed together to obtain higher performance and to compensate the drawbacks of each solvents. The objective of this research is to measure the solubility of CO2 in a mixed solvent with 20: 10 wt% of MEA and 2-MAE for CO2 capture from the flue gas stream at the temperature of 313.15 K and 353.15 K and CO2 partial pressures ranging from 5 to 100 kPa. The experimental results are compared with that of single solution of MEA and 2-MAE at the same conditions. From the results, it is reported that in term of cyclic capacity, the amine mixture provides a better performance, which is higher than that of MEA ranging from 2.35 % to 61.90 % but lower than that of 2-MAE from 8.76 % to 43.45 %. The rate of CO2 loading of mixed solution is relatively close to that of MEA but lower than that of 2-MAE. Therefore, in the future, the mixed solvent may be used as an alternative solution for CO2 capture instead of using single amine.",
        "Classes": [
            "ENV",
            "PE",
            "CHE"
        ]
    },
    "281": {
        "Title": "Elimination of Zinc Dendrites by Graphene Oxide Electrolyte Additive for Zinc-Ion Batteries",
        "Abstract": "\u00a9 Zinc-ion batteries have drawn tremendous attention in the electrochemical energy storage market because of their merits of high safety and low cost, however, the dendrites issue of zinc anodes remains a challenge. Herein, we developed a hybrid electrolyte with graphene oxide as an additive with the functions of promoting the uniform distribution of the electric field and reducing the nucleation overpotential of Zn2+, displaying a smooth zinc electrodeposition layer and reaction kinetics. The resultant zinc symmetric battery with graphene oxide additive affords a stable zinc anode which provided service for more than 650 h at 1 mA cm-2 and an exceptional cycle life of 140 h even at 10 mA cm-2. In addition, scanning electron microscopy images demonstrated that the deposition of zinc dendrites through the glass fiber separator was the reason for the battery short circuit. It is believed that the graphene oxide additive can remarkably improve the Coulombic efficiency (99.16%) of the batteries via stabilizing the Zn plating/stripping behavior and facilitating Zn2+ nucleation. Consequently, the full battery with graphene oxide electrolyte additive exhibited remarkable enhancements in rate performance and cyclability compared to the additive-free electrolyte. The hybrid electrolyte containing solid particles opens a chapter for designing advanced and durable zinc-ion batteries.",
        "Classes": [
            "PE",
            "METAL",
            "EE",
            "NANO",
            "CHE",
            "MATSCI"
        ]
    },
    "282": {
        "Title": "Analysis for T-stress of cracks in 3D anisotropic elastic media by weakly singular integral equation method",
        "Abstract": "\u00a9 2019 Elsevier B.V.This paper proposes an efficient numerical procedure for computing T-stresses of cracks in three-dimensional, linearly elastic, infinite media. The technique is established in a broad framework allowing a medium made of generally anisotropic materials and cracks of arbitrary shape and under general loading conditions to be treated. A pair of weakly singular, weak-form, displacement and traction boundary integral equations is utilized to formulate the key equations governing the unknown crack-face fields. Besides the basic benefits such as the reduction of spatial dimensions of the solution space and the efficient treatment of unbounded domains and remote boundary data, use of such integral equations in the formulation offers additional positive features including the computational simplicity resulting from the weakly singular nature of all involved integrals and the involvement of a complete set of crack-face displacement fields. A weakly singular symmetric Galerkin boundary element method together with the special near-front approximation is utilized to solve for the unknown relative crack-face displacement whereas the sum of the crack-face displacement is obtained from the displacement boundary integral equation for cracks via the Galerkin technique. The latter step is one of the essential aspects of the present study that provides the direct means for determining the T-stress data in terms of the sum of the crack-face displacement in the neighborhood of the crack-front. An extensive numerical study is conducted for various scenarios and a selected set of results is reported to demonstrate both the accuracy and capability of the proposed technique.",
        "Classes": [
            "OPTIC",
            "MATH",
            "MATSCI"
        ]
    },
    "283": {
        "Title": "Application of model predictive control to traffic network systems based on hierarchical distributed control framework",
        "Abstract": "\u00a9 2019 IEEE.Traffic congestion is the chronic problem which degrades an urban traffic sustainable development. If the public infrastructure, logistics, and the development of a public transport system planning are advanced, they will reduce the traffic congestion problems in the urban city and improve the traffic flow in each intersection. This paper aims to establish the traffic model predictive control method with the hierarchical distributed control framework. The traffic controller is composed of three layers which are network layer, area layer, and intersection layer. We develop the hierarchical distributed model predictive control (HDMPC) to improve the performance of hierarchical distributed control (HDC). Finally, numerical examples are demonstrate the HDMPC method is significantly improve the traffic flow over the HDC on the example scenario.",
        "Classes": [
            "CE",
            "CPE",
            "MATH"
        ]
    },
    "284": {
        "Title": "Finding impact factors for rejection of pull requests on GitHub",
        "Abstract": "\u00a9 2018 Association for Computing Machinery.A pull request is an important method for code contributions in GitHub that will be submitted when the developers would like to merge their code changes from their local machine to the main repository on which all source code in the project are stored. Before merging the code changes into the main repository, the developers have to request for a permission. If their source code is allowed to merge, the pull request status is accepted. On the other hand, if their source code is not allowed to merge, the pull request status is rejected. The pull request status may be rejected due to several factors, such as code complexity, code quality, the number of changed files, etc. Fixing the rejected pull requests will take some extra effort and time which may affect the project cost and timeline. This paper aims at finding the impact factors that are associated with the rejection of pull requests on GitHub and also discovering the relationships among impact factors by using the association rules in data mining.",
        "Classes": [
            "CPE",
            "EDU"
        ]
    },
    "285": {
        "Title": "Investigation of wax deposition prevention by using n-heptane for sustainable energy production from Fang oilfield",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.Waxy crude oils are normally found in petroleum reservoirs. Crude oil from wax formation is one of the crucial problems for flow assurance of pipeline transportation in oil and gas production. This issue can commonly cause wax deposition problem and it has made huge amount of economic loses such as production, time and maintenance cost. Therefore, it is a critical aspect to deal with wax deposition for crude oil flow assurance, especially in cold climate surface region. Nowadays, there are many methods that have been applied to reduce the wax deposition. In general, three methods are commonly utilized, mechanical, thermal and chemical ones. Among them, the usage of chemicals is commonly used in field because they can be applied easily rather than other techniques. In this study, n-heptane is select to study the prevention the wax deposition because its property can reduce the pour point and wax deposit of crude oil. It is easily available as well. Therefore, the aim of this research is investigate the effects of temperature and different chemical concentration on pour point and wax deposition of crude oil at three different temperature ranging from 35 to 55 \u00b0C by applying cold finger method. Also, the pour point of crude oil is measured with different n-heptane concentrations by ASTM method. Moreover, the effect of different chemical concentrations on wax appearance temperature (WAT) is examined the temperature between from 80 \u00b0C to 40 \u00b0C with three different shear rates by viscometry method. From the results, it is reported that the total wax deposits from the cold finger depend on the amount of chemical concentration used. WAT with 20% n-heptane provides the highest performance for WAT reduction with 41 \u00b0C. Compared to 5%, 10% and 15% n-heptane concentration, WATs are reduced to 45 \u00b0C, 44 \u00b0C and 43 \u00b0C, respectively. For the pour point results, the higher amount of n-heptane concentration offers the higher reduction in pour point temperature and pour points are reduced significantly from original pour point at 36 \u00b0C to 34 \u00b0C, 30 \u00b0C, 26 \u00b0C and 22 \u00b0C with 5%, 10%, 15% and 20% n-heptane, respectively. It is also found that the amount of total wax deposits decrease when chemical concentrations increase. Moreover, the decline of temperature is found as one of the main factors to cause more wax deposition. There is a highest wax deposit reduction rate with 20% n-heptane at different temperatures compared to other concentration. The wax deposition is reduced over 50% for each concentration. Therefore, this result is useful for the application of wax deposition, pour point and WAT studies in the crude oil production with less damaging environment for sustainable energy production.",
        "Classes": [
            "ENV",
            "PE",
            "ME",
            "CHE"
        ]
    },
    "286": {
        "Title": "Smart Street Lighting System with Networking Communication",
        "Abstract": "\u00a9 2019 IEEE.This paper presents LoRaWAN based smart street lighting control system which allows to control night time street light autonomously with minimum energy consumption. The power saving system is done by using motion detection and illuminance sensor to measure the traffic congestion and illumination level. Every street light has been equipped with LoRaWAN communication modules that sends and receives data with the main server to control LED street light which has illuminance level calculated by DIALux. When autonomously controlling street lighting system, the server system decides which street light should be dimmed according to motion sensors. If no vehicle passes the area for adjusted amount of time, the street light will dim. If any of the vehicle passes the area, the closest street to that area will raise the illumination level to normal level.",
        "Classes": [
            "CE",
            "PE",
            "EE",
            "SAFETY"
        ]
    },
    "287": {
        "Title": "Design of the Robot Application for Slicing Food into Equal-Mass Slices",
        "Abstract": "\u00a9 2023 IEEE.Robots will become far more integral to human daily life in the future. In particular, the robot is used in various types of tasks in the food industry, for example, the partition of chicken breast. Applying robots is the solution to optimizing the production process because the traditional method, which is operated by human labor, is prone to error. The objective of this paper is to design and develop the robotic application to control the IAI Robot and depth camera for slicing a solid, which represents a chicken breast, into equal-mass slices perpendicular to the x-axis. The robotic application consists of four procedures: the settings of the operating system, the point cloud capture and transformation, the solid slicing algorithm, and the robot operation. Furthermore, we designed an experiment to estimate the error of each slice that is sliced using this developed robotic application. In terms of conclusion, the developed robotic application can be applied according to the objective of this paper, where the average percentage of error of a slice that is sliced from 100 grams of solid into two, three, and four equal-mass slices is approximately 0.77%, 2.64%, and 3.67%, respectively.",
        "Classes": [
            "ME",
            "CPE",
            "OPTIC"
        ]
    },
    "288": {
        "Title": "Algorithmic Music Composition Comparison",
        "Abstract": "\u00a9 2018 IEEE.This paper presents the application of Machine Learning (ML) algorithm as an algorithmic music composer, compared to a rule-based algorithm. The ML model is based on LSTMs which takes in previous notes and predicts the next set of notes based on a midi format. For the rule-based method, we apply chord progression rules and binary rhythm pattern theory. We used both algorithms to generate music in two different genres, namely rock, and jazz. To evaluate the effectiveness of the algorithms, fifteen raters are asked to identify the genre of the generated songs. The results showed 77.33% of the rulebased algorithms Jazz songs were correctly identified, compared to the 62.67% generated by the LSTM. For the rock genre, only 49.33% percent of rule-based algorithms songs and 44% Machine Learning algorithms songs were correctly identified. In terms of music satisfaction, the rule-based algorithm on average obtains higher scores in both genres, 2.17 for Jazz and 2.42 for Rock while Machine Learning algorithm receives 1.83 for Jazz songs and 1.57 for Rock.",
        "Classes": [
            "CPE"
        ]
    },
    "289": {
        "Title": "Sequential elastic recovery stress edge-smoothed finite element method for lower-bound limit determination of structures",
        "Abstract": "\u00a9 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature.The paper proposes an efficient sequential edge-smoothed finite element (ES-FE) analysis method enhanced with the smoothed recovery stress field to determine the collapse load limit of inelastic structures. The approach applies a modified concept of elastic compensation algorithm developed within the computationally advantageous ES-FE modelling framework and recovery stress field enhancement. It solely performs a series of standard elastic analyses to successively converge the limit load of structures at plastic collapse. Each analysis systematically adjusts the values of elastic moduli associated with some critical elements as determined by the intensity of stress resultants and hence considers inelastic stress distributions. The computing efforts are as modest as would be required to furnish standard linear elastic analysis procedures. What is important is that the proposed modulus smoothing technique enables the fast assembly of modified stiffness formulations, and the recovery stress field ensures the smoothed C0-continuous admissible stress conditions enhancing the satisfaction of yield conformity over an entire element. Various successfully solved numerical examples highlight the accuracy and efficiency of the analysis framework in overcoming the numerical challenges associated with stress singularity and volumetric locking phenomena under incompressibility conditions. They also address the determination of a lower-bound limit for sufficiently fine ES-FE models.",
        "Classes": [
            "MATH"
        ]
    },
    "290": {
        "Title": "Translating TOSCA into docker-compose YAML file using ANTLR",
        "Abstract": "\u00a9 2017 IEEE.In recent years, Docker is rapidly a powerful and better efficient deployment environment in software as a service (SaaS) development. Using Docker in a software project could solve many former DevOps problems and increase quality of the project. The Docker-Compose is an official tool that helps manage Docker containers by defining the appropriate SaaS configuration in a docker-compose YAML file. As it is not easy for newbies of Docker to write a docker-compose YAML file due to the complicated parameters of a large compounded services' configurations, the TOCSA diagramming should alternatively provide several service templates which are more practical and adequately descriptive to the common SaaS designers. In this paper, we encourage and provide the SaaS designer a set of predefined TOSCA service templates to configure the target SaaS project. Then, we propose a mean to translate the configured TOSCA diagram into docker-compose YAML file using ANTLR. The resulting docker-compose YAML file could be readily exploited in Docker environment.",
        "Classes": [
            "CPE"
        ]
    },
    "291": {
        "Title": "A state-space identification of building temperature system",
        "Abstract": "\u00a9 2018 IEEEThis paper considers an estimation of state-space system matrices of a building temperature system. The building model has two rooms equipped with air-conditioning (AC) system where they contain heat interactions with walking path and the outdoor. Only one-dimensional heat transfer and internal energy change have been concerned while neglecting the effects caused by humidity and air leakage. Cooling energy from the AC system is expressed via the coefficient of performance (COP) and is a nonlinear function of room temperatures. We propose an approximate linear model with an assumption that the COP is a constant obtained by the air-conditioner specifications or it can be estimated. Temperature data and air-conditioners electrical input data can be collected by the Chulalongkorn University Building Energy Management System (CUBEMS) and therefore allow us to estimate the model parameters using the least-squares approach. Our results show that the model with a structure on the input matrix that agrees with physically-based dynamical equations is recommended and including the solar radiation as an input is not necessary.",
        "Classes": [
            "CE",
            "ME",
            "EE",
            "MATH"
        ]
    },
    "292": {
        "Title": "Oxidative dehydrogenation of ethanol over vanadium-and molybdenum-modified mg-al mixed oxide derived from hydrotalcite",
        "Abstract": "\u00a9 2019 by Japan Oil Chemists\u2019 Society.Hydrotalcite or Mg-Al LDHs were synthesized by co-precipitation method. The Mg-Al mixed oxide was then derived by calcination of hydrotalcite at 450\u2103. The metal modified catalysts (Mo/Mg-Al and V/Mg-Al) were prepared by incipient wetness impregnation method. The obtained catalysts were characterized by several useful techniques and tested the reactivity for dehydrogenation and oxidative dehydrogenation of ethanol (gas-phase) to produce acetaldehyde. The catalytic reactions were performed at temperature range from 200 to 400\u2103 for both non-oxidative and oxidative atmospheres. The results showed that the vanadium-modified hydrotalcite (V/Mg-Al) exhibited the highest ethanol conversion (34.3%) and acetaldehyde yield (15.5%) at 400\u2103 in the non-oxidative atmosphere. For the oxidative dehydrogenation of ethanol, the V/Mg-Al catalyst showed the highest activity at 400\u2103 giving the ethanol conversion and acetaldehyde yield of 73.7% and 29.5%, respectively. This result probably related to the highest base density of V/Mg-Al catalyst (6.13 \u00b5mol CO2/m2) measured by CO2-TPD. The catalytic activity of Mg-Al catalyst and metal modified catalyst slightly decreased upon time-on-stream test for 10 h on oxidative dehydrogenation of ethanol due to carbon deposition.",
        "Classes": [
            "METAL",
            "CHE"
        ]
    },
    "293": {
        "Title": "Oxidation behavior of 29Cr-8Ni ferritic stainless steel in air flow at 1173 and 1273 K",
        "Abstract": "\u00a9 2019 Carl Hanser Verlag, M\u00fcnchen.This work investigates the isothermal oxidation behavior of as casted 29Cr-8Ni ferritic stainless steel at 1173 and 1273 K for 126 ks at an air flow rate of 0.67 cm3 \u00d7 s-1 using thermogravimetric analysis (TGA). The oxidation resistance at both temperatures was similar. At 1173 and 1273 K, the kinetic mechanisms were cubic: between parabolic and logarithmic, and parabolic, respectively. The oxidation kinetic constants k at 1173 and 1273 K were 1.648 \u00d7 10-4 and 8.152 \u00d7 10-4 g \u00d7 cm-2 \u00d7 s-1, respectively. The exponential growth rates n at 1173 and 1273 K were 0.3093 and 0.5692, respectively. The oxidation behavior of 29Cr-8Ni ferritic stainless steel was discussed and compared with that of as casted 26Cr-16Ni and as casted AISI 309 austenitic stainless steel.",
        "Classes": [
            "METAL",
            "CHE"
        ]
    },
    "294": {
        "Title": "Design of state-feedback control for polynomial systems with quadratic performance criterion and control input constraints",
        "Abstract": "\u00a9 2018 Elsevier B.V.This paper presents a novel convex optimization approach to design state-feedback control for polynomial systems. Design criteria are comprised of a quadratic cost function and bounded magnitudes of control inputs. Specifically, we formulate a control synthesis of closed-loop systems operated in a given bounded domain characterized by a semi-algebraic set. We consider an extended class of rational Lyapunov functions and derive an upper bound of the cost function, together with a state-feedback control law. By exploiting bounds on the control input magnitudes, the controller design condition can be cast as a parameter-dependent linear matrix inequality (PDLMI), which is convex optimization and can be efficiently solved by sum-of-squares (SOS) technique. In addition, we derive a sufficient condition to compute a lower bound of the cost function. When choosing polynomial structure of the solution candidate, the lower bound can also be written as PDLMI. Numerical examples are provided to illustrate the effectiveness of the proposed design.",
        "Classes": [
            "CPE",
            "IE",
            "MATH"
        ]
    },
    "295": {
        "Title": "Application of biochar coupled with FGD waste for waste management in agriculture improvement",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.Flue gas desulfurization waste (FGD) is one of coal combustion products (CCP) in coal-fired power plants. Mostly, FGD gypsum is applied in cement and wallboard industry. Also, it can be used in agricultural activities for soil amendment but the amount of FGD waste used in this function is still low. Furthermore, biochar has long been used to improve soil fertility. The positive impacts of biochar amendment on soils are that it can increase soil capacity to adsorb plant nutrients, decrease soil bulk density, increase plant available water retention and so on. In Thailand, some areas like Nan province has a problem of soil degradation from deforestation and excess use of chemical fertilizer. With the benefits of these FGD waste and biochar, the study of soil amendment will be performed by using degraded soil. Therefore, this research is aimed to apply FGD waste coupled with biochar to improve soil quality from degraded soil in Nan Province. Also, the objective of this work is to evaluate the effects of FGD waste and biochar on soil properties such as pH, electrical conductivity (EC), bulk density and soil texture. The concentrations of FGD waste and biochar are ranged from 5-25% and 5-30% by weight, respectively. The results present that the soil quality has been improved in that pH can increases from 5.664 up to 7.309. The soil texture has changed in the better quality from clay to silty loam or loam. Furthermore, the bulk density of soil is reduced in order to have more space for air and water for all mixture which is conducive to plant growth. Consequently, this research can contribute to the improvement of degraded soil properties to fit well for agriculture and the results can be applied for practice in the real field.",
        "Classes": [
            "CE",
            "ENV",
            "PE",
            "CHE"
        ]
    },
    "296": {
        "Title": "Patient food delivery error in the hospital: A case study in Thailand",
        "Abstract": "\u00a9 2019 Association for Computing Machinery. All rights reserved.Food service provided in hospitals has considerable significance, as it is part of the medical treatment. In a sample hospital, food delivery error occupied 37.4% which was the highest complaint among all problems in 2017. This problem has never been investigated for its root causes and there has been no measures established against it. Therefore, the purpose of this research is to investigate for the causes of the discrepancies in the food service provided for the inpatients. Root causes of the inpatient food delivery error are identified by triangulation of quantitative data by survey & complaint analysis and qualitative data by focus group. The first set consists of questionnaire responded by nutrition unit staff, experts in food service and hospital directors, in total of 71 respondents. The questionnaire was modelled after the four types of medication errors[1], [2]. The second set was the review of the food service error from inpatient complaint files recorded during January-December 2017. The third set was focus group interview among 71 hospital staff. The service blueprint was used in search of the pain points. The three methods showed consensus results. Both survey and complaint results revealed that the error were caused by 1)transcribing (61.3%, 54.3%) 2) administration error (25.8%,32.6%) 3) dispensing error (10.1%, 10.9%) 4) prescription error(2.7%, 2.2%). Furthermore, the survey of the relation between themeans of importance and the actual performance in each processrevealed that transcribing error and administration error were theroot causes at 95% confidence level. In addition, focus groupinterview with the 71 hospital staff confirms the finding.Transcribing error included miscommunication and datatransference across the departments. Administration error arisesduring the delivery process. Dispensing error occurred in the foodpreparation and food trays, for example, wrong delivery. Lastly,prescription error was caused by the doctors who were in charge ofordering the patient's dietary requirements. Next, the authorsconducted in-depth case study analysis by using service blueprintwith 217 food delivery case studies. We found that the root causewas the operation of data transference across the departments.Results from this paper urge the need for process innovation in assuring quality of patient food delivery.",
        "Classes": [
            "BME"
        ]
    },
    "297": {
        "Title": "Detecting fake news with machine learning method",
        "Abstract": "\u00a9 2018 IEEEFake news has immense impact in our modern society. Detecting Fake news is an important step. This work proposes the use of machine learning techniques to detect Fake news. Three popular methods are used in the experiments: Na'ive Bayes, Neural Network and Support Vector Machine. The normalization method is important step for cleaning data before using the machine learning method to classify data. The result show that Naive Bayes to detect Fake news has accuracy 96.08%. Two other more advance methods which are Neural Network and Support Vector Machine achieve the accuracy of 99.90%.",
        "Classes": [
            "CPE",
            "CHE"
        ]
    },
    "298": {
        "Title": "Recovery stress enhancement in shape memory composites from silicon carbide whisker\u2013filled benzoxazine-epoxy polymer alloy",
        "Abstract": "\u00a9 2017, \u00a9 The Author(s) 2017.In this research, the benzoxazine-epoxy shape memory polymers with outstanding recovery stress improvement were prepared by filling with highly adamantine silicon carbide whisker at 0\u201320 wt%. The results revealed that the storage modulus at room temperature increased with increasing silicon carbide whisker, that is, from 5.1 GPa (without silicon carbide whisker) to 8.8 GPa (at 20 wt%). Glass transition temperatures were increased with increasing silicon carbide whisker in the range of 154\u00b0C\u2013170\u00b0C. Furthermore, all samples exhibited approximately 99% of shape fixity with recovery time ranging from 8 to 27 min. Interestingly, the incorporation of silicon carbide whisker could significantly increase recovery stress from 3.4 MPa (without silicon carbide whisker) to 11.2 MPa (at 20 wt%). Moreover, the addition of silicon carbide whisker provides microwave actuating ability to the sample. Recovery time under microwave heating was significantly shortened to be in a range of 3\u20135 min. These results suggest potential use of the composites as microwave-responsive sensors and other shape memory devices.",
        "Classes": [
            "METAL",
            "ME",
            "CPE",
            "CHE",
            "MATENG",
            "MATH",
            "MATSCI"
        ]
    },
    "299": {
        "Title": "Effect of Calcination Temperature and Support Type of Pt/WOx/boehmite Catalyst on 1,3-propanediol Production from Hydrogenolysis of Glycerol",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.Hydrogenolysis of glycerol to 1,3-PDO was tested over different catalysts. To enhance 1,3-PDO selectivity, our work raised the calcination temperature from 800 \u00b0C to 900 \u00b0C that promoted Bronsted acidity, glycerol conversion and 1,3-PDO selectivity under the mild reaction condition (140 \u00b0C, 0.5 MPa). Glycerol conversion gradually raised from 32.8% to 36.6% and 1,3-PdO selectivity mildly increased from 18.2% to 21.2%. The loading of SiO2 into Pt/WOx/\u03b3-Al2O3 had extremely favourable effects on 1,3-PDO selectivity because the amount of Bronsted acid sites increased significantly as confirmed by NH3-IR.",
        "Classes": [
            "CHE"
        ]
    },
    "300": {
        "Title": "Inventory Management System Development in a Flexible Printed Circuit Board Manufacturer",
        "Abstract": "\u00a9 2019 IEEE.This research attempted to develop an inventory management system for a flexible printed circuit board manufacturer in Thailand. The development began with an investigation of the existing inventory system, which found that the system was quite ineffective causing companies to face serious problems particularly an excessive inventory. The ABC analysis using a multiple criteria inventory classification for the inventory control system was initially applied to identify the most important items. Twenty-seven items were selected to demonstrate the mechanism of the new proposed system. The main objectives are to focus the efficient forecasting technique under stochastic demand and the introduction of fixed replenishment quantity policy to reduce the overall inventory related cost. (R,Q) policy is applied on the forecast demands using the seasonal naive, holt-winters exponential smoothing, autoregressive integrated moving average and afterwards a comparative analysis is conducted on assessing the accuracy of forecasts of demand forecasting technique, it is conventional to use the mean absolute percentage error (MAPE). In the implementation process, the proposed system was compared with the current system. The study showed that total savings from implementing the (R,Q) policy to all materials approximately 262.03 million baht of the total inventory cost.",
        "Classes": [
            "METAL",
            "EE",
            "CPE",
            "IE"
        ]
    },
    "301": {
        "Title": "An enhanced deep convolutional encoder-decoder network for road segmentation on aerial imagery",
        "Abstract": "\u00a9 Springer International Publishing AG 2018.Object classification from images is among the many practical examples where deep learning algorithms have successfully been applied. In this paper, we present an improved deep convolutional encoder-decoder network (DCED) for segmenting road objects from aerial images. Several aspects of the proposed method are enhanced, incl. incorporation of ELU (exponential linear unit)\u2014as opposed to ReLU (rectified linear unit) that typically outperforms ELU in most object classification cases; amplification of datasets by adding incrementally-rotated images with eight different angles in the training corpus (this eliminates the limitation that the number of training aerial images is usually limited), thus the number of training datasets is increased by eight times; and lastly, adoption of landscape metrics to further improve the overall quality of results by removing false road objects. The most recent DCED approach for object segmentation, namely SegNet, is used as one of the benchmarks in evaluating our method. The experiments were conducted on a well-known aerial imagery, Massachusetts roads dataset (Mass. Roads), which is publicly available. The results showed that our method outperforms all of the baselines in terms of precision, recall, and F1 scores.",
        "Classes": [
            "CE",
            "EE",
            "CPE",
            "OPTIC"
        ]
    },
    "302": {
        "Title": "An ontology-based knowledge acquisition for PDM",
        "Abstract": "\u00a9 2018 IEEE.In the present, there are numerous project management software packages used to serve the complex scheduling tasks in a project plan including different groups of people and resources. Most of the tools apply Precedence Diagram Method (PDM) to visualize the activities and their dependencies among various project activities but these tools do not provide semantic representation. Thus, it still requires an implicit knowledge of project managers to analyze and manage scheduling tasks. Ontology could be used to represent the structure of a domain by means of defining concepts and properties that relate them. Accordingly, in this paper, we propose an ontology-based approach for building PDM ontology using OWL and construct SWRL reasoning to infer new knowledge from existing one.",
        "Classes": [
            "CPE",
            "IE"
        ]
    },
    "303": {
        "Title": "Simulation model for outbound logistics in quarry business",
        "Abstract": "\u00a9 2019 Turkiye Klinikleri Journal of Medical Sciences. All rights reserved.\u2014This study of outbound logistics is part of quarrying process where final products are being served to customers. An increasing of customer demands within limited serving space causes a higher total flow time customer spent in the system which also leads to longer queues. The study aims to simulate a current outbound logistics for a quarry business using ARENA simulation model and analyze truck queueing and loader scheduling policy that help reduce total flow time of truck and loader's travel time. An outbound logistics includes all activit\u00e9s begins from when a truck entering weight station to when the truck leaves the system after a final weighing. After testing different methods in two policies, the results show that the Combined Policy of Shortest Processing Time (SPT) policy and Shortest Travelling Time (STT) policy is recommended for the outbound logistics management. By implementing the Combined policy into the current system, not only it can help decrease total flow time a customer spent in the system, it can also benefit the company on a better operational efficiency since it allows the system to be able to serves a higher number of incoming customers using the same available resources.",
        "Classes": [
            "PE",
            "IE",
            "MATH"
        ]
    },
    "304": {
        "Title": "Highly active and stable Ni-incorporated spherical silica catalysts for CO2methanation",
        "Abstract": "\u00a9 2019 Elsevier B.V.Nickel-doped spherical silica (SSP) catalysts with ca. 10 wt% Ni were prepared via a sol-gel method using cetyltrimethyl ammonium bromide as the structure directing agent with different loading sequences of Ni and Si sources (Si1_Ni2, Ni1_Si2, and Ni_Alt_Si). For comparison purposes, the SSP supported Ni catalysts were also prepared by impregnation method (Ni/SSP (Imp)). All the prepared catalysts showed spherical shape with high specific surface area (357-868 m2/g). The X-ray diffraction and H2-temperature programmed reduction results revealed the stronger interaction between Ni and SiO2 in the form of nickel silicate for all the Ni-doped SSP catalysts except Ni/SSP (imp), in which only NiO species were detected. For the reaction temperature 350 \u030aC, the CO2 conversion was in the order: Ni_Alt_Si (51%) > Ni1_Si2 (49%) > Si1_Ni2 (28%) > Ni/SSP (Imp) (10%) with methane selectivity 80\u201395%. The superior performances of the Ni_Alt_Si catalyst were correlated well to the higher electron density of Ni on the surface and higher CO2 adsorption ability as revealed by the X-ray photoelectron spectroscopy and CO2-temperature program desorption results.",
        "Classes": [
            "METAL",
            "CHE",
            "MATENG"
        ]
    },
    "305": {
        "Title": "Influential variable selection for improving solar forecasts from numerical weather prediction",
        "Abstract": "\u00a9 2018 IEEEThis paper presents two statistical methods for refining p redicted s olar i rradiance f rom N umerical Weather Prediction (NWP). Firstly, the spatial averaging is used to reduce the variance of solar irradiance prediction over a spatial area of interest. Secondly, a model output statistics method which is a linear regression model, is applied to explain relationships between solar irradiance and relevant weather variables. In this study, we perform a variable selection based on three statistical methods: partial correlation, stepwise regression, and subset regression, to specify the important meteorological variables for solar irradiance prediction in Thailand. The results show that spatial averaging of NWP forecasts over 7\u00d77 grid points provides a reduction of 3.42% Normalized Root Mean Square Error (NRMSE) from NWP forecasts. Model output statistics with and without variable selection can further improve output from spatial averaging by 41.32% and 41.89% NRMSE respectively. We conclude that highly relevant variables including irradiance measurements, ambient temperature, relative humidity, UV index, and NWP forecasts are sufficient f or a s ignificant improvement of NWP forecasts in Thailand.",
        "Classes": [
            "ENV",
            "MATH"
        ]
    },
    "306": {
        "Title": "Effect of calcination temperature on mg-al layered double hydroxides (LDH) as promising catalysts in oxidative dehydrogenation of ethanol to acetaldehyde",
        "Abstract": "\u00a9 2019 by Japan Oil Chemists\u2019 Society. Oxidative dehydrogenation of ethanol to acetaldehyde over Mg-Al layered double hydroxides (LDH) and their differently calcined derivative catalysts was investigated in this study. The Mg-Al catalysts were synthesized via co-precipitation method and calcined at different temperatures at 450\u2103, 600\u2103 and 900\u2103. It revealed that the calcination temperature affected the physicochemical properties and the catalytic activity of these catalysts toward the oxidative dehydrogenation of ethanol. It was found that ethanol conversion increased with increasing reaction temperature from 200 to 400\u2103, whereas acetaldehyde selectivity decreased. At low reaction temperature (200-300\u2103), the non-calcined catalyst (Mg-Al-000) showed the highest ethanol conversion, which can be attributed to the hydroxyl groups on surface having acetaldehyde as a major product. The calcination process led to formation of mixed oxide phase in Mg-Al catalysts as proven by the XRD and FT-IR results. The catalyst calcined at 450\u2103 (Mg-Al-450) exhibited the highest basicity as measured by the CO 2 -TPD with ethanol conversion of 45.8% and acetaldehyde yield of 29.7% at 350\u2103.",
        "Classes": [
            "METAL",
            "CHE"
        ]
    },
    "307": {
        "Title": "Seed defective reduction in automotive Electro-Deposition Coating Process of truck cabin",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.The case study company is one of players in Thailand's Automotive Industry who manufacturing truck and bus for both domestic and international market. This research focuses on a product quality problem about seed defects occurred in the Electro-Deposition Coating Process of truck cabin. The 5-phase of Six Sigma methodology including D-Define, M-Measure, A-Analyze, I-Improve, and C-Control is applied to this research to identify root causes of problem for setting new parameters of each significant factor. After the improvement, seed defects in this process is reduced from 9,178 defects per unit to 876 defects per unit (90% improvement)",
        "Classes": [
            "CHE",
            "MATENG",
            "IE",
            "MATSCI"
        ]
    },
    "308": {
        "Title": "An Evaluation of Supplier Performance based on a Three-Dimensional Fuzzy TOPSIS Framework",
        "Abstract": "\u00a9 2021 IEEE.This paper proposes a Three-Dimensional Fuzzy TOPSIS framework to evaluate and categorize suppliers according to their cost, quality, and time performances. The concept of our proposed framework is rather simple as it iteratively applies three Fuzzy TOPSIS models to a set of suppliers-one at a time with respect to one key supply chain performance, each with different numbers of criteria. We have then applied this framework to evaluate the performance of a case study company's suppliers, whose business is related to fuel commercial marketing. We find that among 48 initial criteria, only 24 criteria seem to be relevant: 5, 13, 6 criteria in the cost, quality, and time Fuzzy TOPSIS models, respectively. Additionally, all of the 33 suppliers in this study are regarded as performed in terms of quality, but they may vary in terms of cost and service time. In particular, there are six suppliers requiring improvement on either cost or time metric, and only one supplier that needs attentions regarding cost and service time improvement. These results are in-line with expert's opinions as the company has a very stringent quality monitoring system; but, none exists in terms of cost and service time.",
        "Classes": [
            "IE"
        ]
    },
    "309": {
        "Title": "Enhancement of uranium recovery from seawater using amidoximated polymer gel synthesized from radiation-polymerization and crosslinking of acrylonitrile and methacrylic acid monomers",
        "Abstract": "\u00a9 2018 Elsevier Ltd.The amidoximated polymer gel for uranium recovery from natural seawater was successfully synthesized from radiation-polymerization and crosslinking of acrylonitrile (AN) and methacrylic acid (MAA) monomers with N,N'-Methylene bisacrylamide (MBA) as the crosslink agent. The optimum condition to prepare the polymer gel is: the gamma ray dose of 40kGy, the AN:MAA ratio of 80:20, and the crosslink agent concentration of 8g/L. The polymer gel can be reused for at least 8 times without significant performance decrease. The kinetic of seawater absorption by the adsorbent was quite rapid, reaching the equilibrium swelling ratio of approximately 250% in about 30min. By submersion of this polymer gel in the seawater sample with only 300 and 840ppb of added uranium for 4 weeks, the adsorption capacity reached as much as 6.96 and 9.64mg/g, respectively. By submersion of this polymer gel in the seawater sample with 30 and 2140ppm of added uranium for 1 week, the adsorption capacity reached as much as 334 and 409mg/g, respectively. This high-efficiency amidoxime polymer gel offers a possibility of being utilized as a seawater uranium recovery agent on an industrial scale. Suitable elution conditions to minimize mass loss as well as suitable locations with clear seawater and no algae growth will need to be identified. Moreover, the research outcome presents a novel environmental remediation process to adsorb uranium ions released into seawater following a nuclear accident.",
        "Classes": [
            "METAL",
            "CHE",
            "MATENG",
            "MATSCI"
        ]
    },
    "310": {
        "Title": "Effect of rice husk ash silica as cement replacement for making construction mortar",
        "Abstract": "\u00a9 2018 Trans Tech Publications, Switzerland.Rice husk ash (RHA) is used as a replacement to cement to produce mortar. The effect of 5, 10, and 15wt% addition to the density and compressive strength of mortar is investigated. It was found that with the increasing addition of RHA causes the decrease of compressive strength and density of mortars. Compressive strength of mortar drops with addition of RHA, from a value of 42 MPa of no RHA addition, to 24 MPa of 15wt% RHA addition. Reduction in compression strength may be due to the decrease in density, which arises from porous RHA. This is more dominant in mortar made from addition of RHA without prior acid treated. Carbon residue and impurity in RHA further reduce the compressive strength of mortar. In addition, this research validate the use of a more environmentally friendly citric acid for partially removal of oxide impurities prior to burning the rice husk.",
        "Classes": [
            "CE"
        ]
    },
    "311": {
        "Title": "Practical interpretation of pressure tests of hydraulically fractured vertical wells with finite-conductivity in naturally fractured oil and gas formations",
        "Abstract": "\u00a9 2021, The Author(s).This paper presents a well test interpretation methodology using characteristic points and lines found on the pressure and pressure derivative versus time log\u2013log plot for the characterization of a finite-conductivity fractured vertical hydrocarbon well in a double-porosity (heterogeneous) formation considering a new and practical analytical Laplacian model which require less computational time and have more accuracy than semi-analytical models. Some existing equations are found to work well for the new model, and new expressions are developed. The accuracy of the developed equations is successfully tested with synthetical examples.",
        "Classes": [
            "PE",
            "MATSCI"
        ]
    },
    "312": {
        "Title": "Isothermal cold crystallization kinetics and properties of thermoformed poly(lactic acid) composites: effects of talc, calcium carbonate, cassava starch and silane coupling agents",
        "Abstract": "\u00a9 2020, Iran Polymer and Petrochemical Institute.The effects of three different fillers (i.e., talc, calcium carbonate, and cassava starch) and surface functionalization by 3-aminopropyltriethoxysilane (APTES) and vinyltriethoxysilane (VTES) on morphology, thermal and tensile properties of the poly(lactic acid) (PLA) composites were comparatively examined. Dynamic differential scanning calorimetry (DSC) results revealed that the incorporation of filler can facilitate the cold crystallization of PLA, as confirmed by lowered cold crystallization temperature. By fitting DSC data with Avrami model, the highest isothermal cold crystallization rate constant k and the shortest crystallization half time t1/2 were obtained for the PLA/talc composites under isothermal temperature of 100 \u00b0C, implying that talc was the most effective nucleating agent for PLA in this study. The average Avrami index n of neat PLA and its composites lay within the same range of 3.0\u20133.6, which reflected the three-dimensional spherulitic growth of PLA with the mixture of instantaneous nuclei and sporadic nuclei. In comparison with the composite cast films, the thermoformed films had higher degree of crystallinity as well as higher tensile strength and Young\u2019s modulus owing to the chain orientation upon annealing. Furthermore, the addition of silane-treated talc, especially APTES-treated talc, fastened cold crystallization rate and enhanced tensile properties because of the improved interfacial interaction between talc particles and PLA matrix.",
        "Classes": [
            "PE",
            "CHE",
            "MATENG",
            "MATSCI"
        ]
    },
    "313": {
        "Title": "Ontology-Based Naive Bayes Short Text Classification Method for a Small Dataset",
        "Abstract": "\u00a9 2019 IEEE.Content less than two hundred words like comments or review statements is known as a short text. Short text classification is useful for automatically categorizing sentence into predefined group. There are several traditional short text classification methods by using bag-of-words with k nearest neighbors (k-NN), Na\u00efve Bayes, Maximum entropy, support vector machines (SVMs), and an algorithm based on statistics and rules. The deep learning method is outperformed other methods on classification of short text with normal size of dataset. Some researches classify requirements into functional and nonfunctional requirements. There is no research on multi-classification of functional requirements with a small dataset particularly for an accounting field. This paper presents an approach to classify short text for a small dataset into multiple categories of functional requirements on the accounting domain. The proposed approach uses an ontology to construct bag-of-words and uses Naive Bayes to classify for small dataset. The experiment is conducted using four hundred of datasets with 5folds and 10-folds cross-validation. The result shows that the method can correctly classify more than 80%. Additionally, comparisons between the ontology-based Naive Bayes method and other methods are investigated.",
        "Classes": [
            "EE",
            "CPE",
            "CHE",
            "EDU",
            "MATH"
        ]
    },
    "314": {
        "Title": "Design equations of uplift capacity of circular piles in sands",
        "Abstract": "\u00a9 2019 Elsevier LtdUplift capacity of circular piles in sands is one important design parameter for many pile foundations supporting important structures subjected to tensile forces. Even though a number of formulas based on the limit equilibrium or semi-empirical methods are proposed to predict the uplift capacity of piles in sands, there is a major limitation of the methods in obtaining the accurate predictions. In this paper, the computational limit analysis is employed to investigate the uplift capacity of circular piles in sands. The effects of the important variables including pile length and diameter, soil friction angle and unit weight, and roughness factor at soil-pile interface are examined extensively using the dimensionless parameters while the predicted failure mechanisms associated with the parameters are discussed and compared. Approximate statistical design equations of the uplift capacity of circular piles in sands are developed based on the numerically derived solutions and the existing experimental data. It is found that the proposed design equations provide the most accurate prediction of the uplift capacity of circular piles in sands as compared to the existing formulas.",
        "Classes": [
            "CE",
            "PE",
            "MATH"
        ]
    },
    "315": {
        "Title": "Effect of gamma irradiation on properties of ultrafine rubbers as toughening filler in polybenzoxazine",
        "Abstract": "\u00a9 2018 Elsevier LtdThree types of ultrafine fully vulcanized powdered rubbers (UFRs), i.e. natural rubber (NR), carboxylated nitrile-butadiene rubber (XNBR), and carboxylated styrene-butadiene rubber (XSBR) were prepared by combined technology between gamma irradiation for crosslinking and spray drying. The effects of doses in a range of 0\u2013250 kGy on swelling ratio, crosslink density, and thermal stability of UFRs were investigated. Smaller particle size of UFRs was obtained at higher dose. A decrease in the swelling ratio and an increase in crosslink density were well corresponded to crosslinking effect related with absorbed dose. The increase in dose was also found to improve thermal performance of URFs. The influence of irradiated UFRs on impact resistance and glass transition temperature (Tg) of polybenzoxazine composites was also evaluated. The highest impact resistance of the composites belonged to the composite filled with irradiated UFXNBR at 200 kGy. While the significantly enhanced Tg of the composite was obtained by an addition of irradiated UFRs with higher doses, i.e. Tg = 173 \u00b0C for the composite filled with irradiated UFXNBR at 250 kGy. As a consequence, the UFRs can be used to effectively modify thermal and mechanical properties, especially impact resistance of polybenzoxazine composites.",
        "Classes": [
            "ME",
            "CHE",
            "MATENG",
            "MATSCI"
        ]
    },
    "316": {
        "Title": "Photographic assessment of coral stress: Effect of low salinity to Acropora sp. Goniopora sp. and Pavona sp. at Sichang Island, Thailand",
        "Abstract": "\u00a9 2018 The authors and IOS Press. All rights reserved.Three species of corals at Sichang Island i.e. Acropora sp. Goniopora sp. and Pavona sp. were subjected to a stress test with low salinity and normal salinity at concentration 10, 20 and 30 psu, respectively. Under water photograph and eye observation of coral activity were recorded at 12, 24 and 48 hours. The entropy or surface roughness and percent polyp activity were analyzed with comparison to eye observation of coral activity. The experiment was carried out under continuously water temperature and underwater light intensity controlled. The results indicated that \u201cHealthy\u201d entropy values for Acropora sp. are 1.57-1.62 and for Goniopora sp. are 4.26-4.46. In contrast, for Pavona sp., short polyp coral, there was no \u201cHealthy\u201d entropy value resulted from any photographic assessment in this study. The \u201cHealthy\u201d value of Acropora sp. evaluated from percent active polyp was more than 52.4. For conclusion, The Entropy and percent active polyp values were suitable tools for Acropora sp. and Pavona sp., a short polyp coral\u2019s healthy identification. Whereas the eye observation of coral activity both percent polyp extend and percent polyp long was suitable for Goniopora sp., a long polyp coral.",
        "Classes": [
            "ME",
            "EE",
            "MATSCI"
        ]
    },
    "317": {
        "Title": "Copper oxide nanorods electrodes for organophosphate pesticide sensor",
        "Abstract": "\u00a9 2019 IEEE.Enzymatic pesticide sensor has long been used owing to its high selectivity and sensitivity; however, a number of limitations has prevented it from commercialization and portability. In this work, non-enzymatic sensor based on nanomaterial was proposed as an alternative to overcome the limits of enzyme based sensor. Copper oxide nanorods was synthesized by direct anodization and annealing techniques which require less preparation and low cost. The CuO NR arrays electrode was applied in electrochemical analysis of organophosphates pesticide. Our sensor exhibits high sensitivity of 1.227 A/molL-1 and desirable detection limit of 2 ng/mL, indicating the feasibility of our sensor platform which possesses higher stability, ease of usage, and more cost effective in comparison with the conventional enzymatic pesticide sensor.",
        "Classes": [
            "NANO",
            "CHE",
            "IE",
            "MATSCI"
        ]
    },
    "318": {
        "Title": "Solar power forecast with weather classification using self-organized map",
        "Abstract": "\u00a9 2017 IEEE.This paper presents a practically efficient method for 1h to 3h ahead solar power forecast (SPF) with weather classification using a Self-Organized Map (SOM). The method requires minimal input data which are normally monitored at all sites so that additional expensive weather observatory devices are not necessary. The proposed SOM can classify weather condition into sunny, cloudy and rainy day, using only the current and past irradiance profile data as input. Then, the ANN-based SPF model for each weather condition is constructed, trained and validated, accordingly. Performance of the proposed method has been evaluated using actual field data from the 500-kW solar farm in Mae Hong Son district, Thailand. Accuracy performance obtained indicates that additional spinning reserve of less than 10 %, with respect to the installed solar power capacity, would be required when the proposed SPF method is applied to the energy management system (EMS) for the city.",
        "Classes": [
            "ENV",
            "PE",
            "EE"
        ]
    },
    "319": {
        "Title": "Hydrogen Production via Chemical Looping Steam Reforming of Ethanol: Effect of Ce and la on Ni-based Oxygen Carrier Performance",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.Chemical looping steam reforming of ethanol for hydrogen production has been studied. In this process, the high hydrogen content compound, ethanol, was reacted with steam and oxygen carriers (OCs) through the redox reaction cycle to produce the clean fuel H2. The effects of the different promoters, CeO2 and La2O3, in Al2O3-supported Ni-based OCs were investigated. The mixed promoters Ni-Al2O3 OCs were synthesized by wet impregnation method. The fresh OCs were characterized by X-ray powder diffraction (XRD), N2 adsorption-desorption, H2-temperature programmed reduction (H2-TPR) and Scanning electron microscope/Energy dispersive X-ray spectroscopy (SEM/EDX) technique. The redox activity test was performed in a fixed bed reactor by alternating between fuel and air feeds at isothermal condition of 500\u00b0C. The fuel feed was composed of ethanol and steam with steam to ethanol (S/E) mole ratio of 3. It was found that addition of CeO2 and La2O3 on Ni/Al2O3 improved the metal dispersion, reduced the crystallite size and enhanced reducibility of NiO. The La2O3 promoted (Ni/La2O3-Al2O3) and CeO2 and La2O3 co-promoted (Ni/La2O3-CeO2-Al2O3) OCs showed high performance and stability in chemical looping steam reforming of ethanol with the maximum ethanol conversion of 98.3 and 92.5 %, respectively, with maximum H2 yield of 2.9 and 3.2 mol/mol ethanol, respectively. In addition, forming of La2O3-CeO2 solid solution phase in Ni/La2O3-CeO2-Al2O3 oxygen carriers enhanced the oxygen storage capacity (OSC) and high oxygen mobility (OM) of OCs, resulting in a lower carbon deposition.",
        "Classes": [
            "PE",
            "METAL",
            "CHE",
            "MATSCI"
        ]
    },
    "320": {
        "Title": "Chest X-ray analysis of tuberculosis by convolutional neural networks with affine transforms",
        "Abstract": "\u00a9 2018 Association for Computing Machinery.Applying deep learning techniques for classification of medical images has seen considerable growth in recent years. Among several, Convolutional Neural Net-works (CNNs) are a class of powerful models well known for image classification and segmentation. This research introduces the concept of computer-aided diagnosis that could help in early diagnosis of Tuberculosis infection. The three CNN architectures: AlexNet, VGG-16 and CapsNet, were customized to classify tuberculosis lesions in CXR images. Data augmentation with rotating was used to mimic the real world as CXR images may not be precisely vertical. The performance of the three classifiers was evaluated with the measures: accuracy, sensitivity and specificity. The result showed that CapsNet outperformed the other models when predicting affined images.",
        "Classes": [
            "EE",
            "CPE",
            "OPTIC",
            "CHE",
            "MATH"
        ]
    },
    "321": {
        "Title": "A review on the electrolyte imbalance in vanadium redox flow batteries",
        "Abstract": "\u00a9 2019 Hydrogen Energy Publications LLCVanadium redox flow batteries (VRFBs) are widely used in various stationary applications to enhance power management, improve peak shaving and load leveling, and support a renewable power grid. Although a VRFB has several advantages such as flexibility, long shelf life, and relatively high efficiency, there are very few commercially available VRFB systems because of high operating and structure costs. Therefore, considerable efforts are being made to reduce the fixed and variable costs of a VRFB system. For effective handling of the VRFB system, it is essential to understand the operational problems that could occur during a long-term VRFB operation. Electrolyte imbalance is often a major obstacle affecting the battery capacity loss. This paper presents a comprehensive reviews on causes, effects, measurement, and regeneration of the imbalanced electrolyte leading to an understanding for better operation and to manufacture a VRFB commercial system.",
        "Classes": [
            "PE",
            "METAL",
            "EE",
            "CHE"
        ]
    },
    "322": {
        "Title": "Size effects in two-dimensional layered materials modeled by couple stress elasticity",
        "Abstract": "\u00a9 2021, Higher Education Press.In the present study, the effect of material microstructure on the mechanical response of a two-dimensional elastic layer perfectly bonded to a substrate is examined under surface loadings. In the current model, the substrate is treated as an elastic half plane as opposed to a rigid base, and this enables its applications in practical cases when the modulus of the layer (e.g., the coating material) and substrate (e.g., the coated surface) are comparable. The material microstructure is modeled using the generalized continuum theory of couple stress elasticity. The boundary value problems are formulated in terms of the displacement field and solved in an analytical manner via the Fourier transform and stiffness matrix method. The results demonstrate the capability of the present continuum theory to efficiently model the size-dependency of the response of the material when the external and internal length scales are comparable. Furthermore, the results indicated that the material mismatch and substrate stiffness play a crucial role in the predicted elastic field. Specifically, the study also addresses significant discrepancy of the response for the case of a layer resting on a rigid substrate.",
        "Classes": [
            "MATH",
            "MATSCI"
        ]
    },
    "323": {
        "Title": "Assessment of reservoir trapping efficiency and hydropower production under future projections of sedimentation in Lancang\u2013Mekong River Basin",
        "Abstract": "\u00a9 2023 Elsevier LtdSedimentation poses a significant threat to the long-term sustainability of hydropower generation. However, there is a lack of studies examining the relationship between sediment trapping efficiency and electricity generation on a basin-wide scale over time. This study aims to assess the efficiency of hydropower production in terms of reservoir sediment trapping. Modified Brune's method examined the relationship between trapped sediments in reservoirs and hydropower production, considering sediment projections for the near future. We divided the cases of existing and planned reservoirs in the mainstream river and subbasins to assess cumulative sediment trapping. Using the Lancang-Mekong River Basin as a case study, the following main findings were observed. Firstly, the existing reservoirs, under baseline conditions (2018), had the potential to trap approximately 60.9% or 82 Mt/yr of the total sediment load. Secondly, around 69% or 110 Mt/yr of the total sediments could be significantly trapped when considering the existing reservoirs and those planned according to the development plan of riparian countries. Thirdly, the hydropower production efficiency of most reservoirs in 2030 and 2040 experienced a significant decline of approximately 10%\u201320% and more than 30%, respectively. Therefore, sediment management is crucial for maintaining efficient hydropower production and achieving sustainable hydropower development through effective planning strategies.",
        "Classes": [
            "ENV",
            "PE",
            "ME",
            "IE"
        ]
    },
    "324": {
        "Title": "Feature based analysis friendly video coding scheme for HEVC",
        "Abstract": "\u00a9 2018 IEEE.This paper proposes an algorithm to maintain feature information of compressed video in high efficiency video coding (HEVC), where feature information is defined by SIFT (scale invariant feature transform) detector. Adaptive largest coding unit (LCU) selection is defined to determine LCU into two different groups, important LCU group and non-important LCU group. Moreover, two different bit allocations are generated in rate control to each group based on coding mode selection, Intra or Inter mode, to achieve target bit rate and also guarantee the feature information can be maintained. Experimental results show proposed method can achieve better SIFT similarity than original HEVC encoder from 1% to 10% at the same target bit.",
        "Classes": [
            "EE"
        ]
    },
    "325": {
        "Title": "Phase evolution of surface-modified Incoloy 825 superalloy using pack aluminization",
        "Abstract": "\u00a9 Carl Hanser Verlag GmbH & Co. KG.The objective of the study is to investigate the phase evolution of the aluminized surface of iron-concentrated nickel-based superalloys. Alu-minization is carried out via pack cementation at constant temperature of 900 \u00b0C at three processing times of 1, 2.25 and 4 h. Backscattered images and X-ray diffractions are used for phase identification. Small incident angle X-ray diffraction applied on the surface and subjected to repetitive polishing elucidate a formation sequence of iron aluminides. The overall thickness of the aluminized layers is proportional to the processing time squared. The samples are composed of 4 zones, identified by elemental concentration profiles. Only iron aluminides are observed which is in agreement with thermodynamic- and atomic diffusion. The results conclude that aluminization on alloys is similar to oxidation and that nickel aluminide forms with great difficulty on the surface of an aluminized Incoloy 825 alloy.",
        "Classes": [
            "METAL"
        ]
    },
    "326": {
        "Title": "Influence of phosphoric acid modification on catalytic properties of Al2O3 catalysts for dehydration of ethanol to diethyl ether",
        "Abstract": "Copyright \u00a9 2019 BCREC Group. All rights reserved.In this present work, diethyl ether, which is currently served as promising alternative fuel for diesel engines, was produced via catalytic dehydration of ethanol over H3PO4-modified - Al2O3 catalysts. The impact of H3PO4 addition on catalytic performance and characteristics of catalysts was investigated. While catalytic dehydration of ethanol was performed in a fixed-bed microreactor at the temperature ranging from 200 \u00baC to 400 \u00baC under atmospheric pressure, catalyst characterization was conducted by inductively coupled plasma (ICP), X-ray diffraction (XRD), N2 physisorption, temperature-programmed desorption of ammonia (NH3-TPD) and thermogravimetric (TG) analysis. The results showed that although the H3PO4 addition tended to decrease surface area of catalyst resulting in the reduction of ethanol conversion, the Al2O3 containing 5 wt% of phosphorus (5P/Al2O3) was the most suitable catalyst for the catalytic dehydration of ethanol to diethyl ether since it exhibited the highest catalytic ability regarding diethyl ether yield and the quantity of coke formation as well as it had similar long-term stability to conventional Al2O3 catalyst. The NH3-TPD profiles of catalysts revealed that catalysts containing more weak acidity sites were preferred for dehydration of ethanol into diethyl ether and the adequate promotion of H3PO4 would lower the amount of medium surface acidity with increasing catalyst weak surface acidity. Nevertheless, when the excessive amount of H3PO4 was introduced, it caused the destruction of catalysts structure, which resulted in the catalyst incapability due to the decrease in active surface area and pore enlargement.",
        "Classes": [
            "ENV",
            "ME",
            "CPE",
            "CHE",
            "MATSCI"
        ]
    },
    "327": {
        "Title": "Transforming javascript-based web application to cross-platform desktop with electron",
        "Abstract": "\u00a9 2019, Springer Nature Singapore Pte Ltd.Over the years, various ways emerge for evolving the existing applications towards a shared codebase. Among several, Electron is a well-known framework for web developers to build cross-platform desktop applications using familiar web technologies, such as HTML, CSS, and JavaScript. This paper thus presents an approach for transforming web applications created with JavaScript to desktop applications that can run on Windows, MacOS, and Linux. The output desktop application would remain the old set of source code for further development.",
        "Classes": [
            "CPE"
        ]
    },
    "328": {
        "Title": "Public transport driver identification system using histogram of acceleration data",
        "Abstract": "\u00a9 2019 Nuttun Virojboonkiate et al.This paper introduces a driver identification system architecture for public transport which utilizes only acceleration sensor data. The system architecture consists of three main modules which are the data collection, data preprocessing, and driver identification module. Data were collected from real operation of campus shuttle buses. In the data preprocessing module, a filtering module is proposed to remove the inactive period of the public transport data. To extract the unique behavior of the driver, a histogram of acceleration sensor data is proposed as a main feature of driver identification. The performance of our system is evaluated in many important aspects, considering axis of acceleration, sliding window size, number of drivers, classifier algorithms, and driving period. Additionally, the case study of impostor detection is implemented by modifying the driver identification module to identify a car thief or carjacking. Our driver identification system can achieve up to 99% accuracy and the impostor detection system can achieve the F1 score of 0.87. As a result, our system architecture can be used as a guideline for implementing the real driver identification system and further driver identification researches.",
        "Classes": [
            "CPE"
        ]
    },
    "329": {
        "Title": "Effect of transition metal dopants (M= Nb, La, Zr, and Y) on the M-TiO2 supported V2O5 catalysts in the selective oxidation of H2S to elemental sulfur",
        "Abstract": "\u00a9 2018 Published by Elsevier Ltd.P-25 TiO2 was modified by a small amount addition of different transition metal dopants (Nb, La, Zr, and Y) and employed as the supports for preparation of the V2O5/TiO2 catalysts for the selective H2S oxidation at low temperature (130 \u00b0C). The H2S removal capability was ranged in the order: V2O5/Y-TiO2 > V2O5/Zr-TiO2 V2O5/TiO2 > V2O5/La-TiO2 > V2O5/Nb-TiO2, which corresponded well to the chemically adsorbed oxygen on oxygen vacancies at catalyst surface (or surface oxygen) as revealed by XPS results. The Y addition could promote the oxygen vacancies formation because of the Ti4+ substitution by less valence Y3+ cations, leading to the improvement of H2S conversion. Whereas the modification by dopants, which have the extra valence cations or larger ionic radius (i.e., Nb or La) suppressed the oxygen vacancies formation, thus leading to lower activity. Despite the stronger interaction between V and Zr-TiO2, the amount of surface oxygen and H2S conversion of the V2O5/Zr-TiO2 were less than the V2O5/Y-TiO2, suggesting that although the formation of oxygen vacancies depended on the interaction between V and M-TiO2, the effect of Ti4+ substitution by transition metal dopant was more pronounced than the degree of interaction between V and M-TiO2. The H2S removal capability corresponded well to the oxygen vacancies being formed more than the degree of interaction between V and M-TiO2. From this study, the V2O5/Y-TiO2 showed the highest H2S conversion at \u223c77% with low SO2 formation (less than 10 ppm).",
        "Classes": [
            "METAL",
            "ME",
            "CHE",
            "MATSCI"
        ]
    },
    "330": {
        "Title": "Formalizing Time Petri Nets with Metric Temporal Logic using Promela",
        "Abstract": "\u00a9 2019 IEEE.Formal verifications for the real-time systems are crucial and inevitable. The formal model and its desirable properties may be checked using model checker. Time Petri net is one of the practical representation for the formal model and its target properties may be efficiently written in metric temporal logic providing the time duration checking. However, the model checking of the time Petri nets with metric temporal logic is still merely supported. In this paper, we propose an alternative to transform the given time Petri nets along with the metric temporal logic into Promela code, which would be practically verified using SPIN tool. We also modified the previous work on translating basic metric temporal logic (MTL) formulas into linear temporal logic (LTL) written in Promela as to cope with the next and until temporal operators. The resulting Promela codes are correctly generated and verifiable using SPIN tool.",
        "Classes": [
            "CPE",
            "MATH"
        ]
    },
    "331": {
        "Title": "Target Setting of Power System Reliability Indices with Consideration of Maintenance Cost and Relevant Factors",
        "Abstract": "\u00a9 2018 IEEE.Target setting of power system reliability indices should consider the factors that affect to reliability. Also, there should be the quick way to get the index targets in order to be able to set up maintenance activities and to plan improvement of the power system, it is possible to reach the target in time. In this paper, preventive maintenance cost and line length are considered. Furthermore, the methods presented multiple linear regression and simple linear regression. The test results show that the analysis method can be used to set the targets quickly and in accordance with the factors taken into consideration.",
        "Classes": [
            "IE",
            "MATH"
        ]
    },
    "332": {
        "Title": "Isobaric vapor-liquid equilibrium for binary system related to the organophosphoric extractant of D2EHPA + n-dodecane and TBP + n-dodecane at 0.13, 2.40 and 6.67 kPa",
        "Abstract": "\u00a9 2018 Elsevier LtdVacuum distillation is selected as a technique for recycling in order to separate the mixture of a hydrometallurgical organophosphoric extractant from an organic diluent because of their low volatility and high selectivity. The experimental isobaric vapor-liquid equilibrium (VLE) data for the binary systems of di-(2-ethylhexyl) phosphoric acid (D2EHPA) + n-dodecane and tri-butyl phosphate (TBP) + n-dodecane were measured at pressures of 0.13, 2.40 and 6.67 kPa, using a glass vapor-liquid equilibrium ebulliometer. VLE data were generated in the form of T\u2212x\u2212y diagrams and checked for thermodynamic consistency via Herington area test and Van Ness point test. Data for all mixtures met the criteria of thermodynamic consistency and were found suitable for process modeling. At each pressure point, no azeotropic phenomenon was observed. Reduction in pressure of the system can significantly enhance the relative volatility and separation efficiency of both mixtures. At all pressure points, D2EHPA was noted to be more separable than TBP. Additionally, the experimental VLE results for all systems were found to have a good correlation with Raoult's law, Wilson and nonrandom two-liquid (NRTL) models. The corresponding binary interaction parameters were obtained by minimizing the deviation between the experimental and the calculated vapor phase composition and total pressure.",
        "Classes": [
            "CHE"
        ]
    },
    "333": {
        "Title": "High performance aramid pulp/carbon fiber-reinforced polybenzoxazine composites as friction materials",
        "Abstract": "\u00a9 2019 Elsevier LtdThe objective of this work is to develop aramid pulp/carbon fiber-reinforced polybenzoxazine composites as high performance friction materials. Effects of aramid pulps and carbon fibers on thermal stability, mechanical properties, and tribological performances of the composites are investigated. Aramid pulps could enhance friction coefficient and friction stability of the composites, while thermal stability, mechanical properties, and wear resistance of the composites are improved with an addition of carbon fibers. The composites exhibit high thermal degradation and glass transition temperatures, high and stable friction coefficient, and good wear resistance. The developed polybenzoxazine composites could be applied as non-asbestos organic friction materials.",
        "Classes": [
            "CE",
            "ME",
            "CHE",
            "MATENG",
            "MATSCI"
        ]
    },
    "334": {
        "Title": "Fictitious Flux and a Globally Stable Observer for Sensorless Control of Synchronous Reluctance Motors",
        "Abstract": "\u00a9 2018 IEEE.The challenging problem of globally stable position and speed estimation of synchronous reluctance motors is solved with the proposed flux observer. Global stability is assured by the introduction of a new fictitious flux variable in the motor's model. Rotor position and speed are estimated from the fictitious flux using a vector phase-locked loop. Theoretical results are verified by simulation which shows stable estimation and good sensorless performances under various operating conditions.",
        "Classes": [
            "EE",
            "CPE"
        ]
    },
    "335": {
        "Title": "Binder-free centimeter-long V2O5nanofibers on carbon cloth as cathode material for zinc-ion batteries",
        "Abstract": "\u00a9 2019 MDPI AG. All rights reserved.Recently, rechargeable aqueous zinc-ion batteries (AZBs) have attracted extensive interest due to their safety, abundance, low cost, and low toxicity. However, aqueous electrolytes require a polymeric binder to prevent dissolution of the active material in addition to its binding properties. This study highlights binder-free, centimeter long, single-crystal, V2O5 nanofibers (BCS-VONF) on carbon cloth, as the cathode material for AZBs synthesized via a simple one-step hydrothermal process. BCS-VONF in 3.0 M Zn(OTf)2 exhibit promising electrochemical performance with excellent capacity retention. Even in the absence of a binder, BCS-VONF were found to be very stable in 3.0 M Zn(OTf)2. They will not yield to the dissolution and detachment of the active material on the current collector. The novel strategy described in this study is an essential step for the development of BCS-VONF on carbon cloth, as a promising cathode material for AZBs.",
        "Classes": [
            "METAL",
            "EE",
            "NANO",
            "CHE",
            "MATSCI"
        ]
    },
    "336": {
        "Title": "Modified response spectrum analysis to compute shear force in tall RC shear wall buildings",
        "Abstract": "\u00a9 2018 Elsevier LtdAmong various analysis methods, response spectrum analysis (RSA) is widely used to compute design forces of structures subjected to earthquake loading. Previous studies indicate that using a single response modification factor (R) to reduce elastic forces contributed from all modes in the RSA procedure is the primary cause for underestimating the design force demands on structures. In this paper, two modified response spectrum analysis (MRSA) methods, MRSAHE based on a higher-mode elastic approach and MRSAHI based on a higher-mode inelastic approach are proposed for computing design shear forces in tall reinforced concrete (RC) shear wall buildings. Here 15-, 20-, 31-, and 39-story tall buildings subjected to earthquake excitations in Bangkok are first designed using the RSA procedure, and then nonlinear response history analysis (NLRHA) is carried out. It is found that the RSA procedure provides good estimates for floor displacements and story drift ratios, but significantly underestimates force demands, when compared with NLRHA. The MRSAHE method provides good estimates of shear force for the 15- and 20-story buildings and conservative estimates for the 31- and 39-story buildings; while the MRSAHI method provides good estimates for all cases. However, MRSAHI requires a nonlinear inelastic structural model but MRSAHE does not. In both MRSA methods, the bending moment demands are computed in the same way as the conventional RSA procedure, with ductile detailing in RC walls or columns required at locations where the combined axial and bending strain exceeds a certain limit. In order to determine the locations that require ductile detailing in RC walls or columns, a novel method based on the equal displacement concept using strain from elastic analysis to predict inelastic strain is found to provide good agreement with inelastic strain computed from NLRHA.",
        "Classes": [
            "CE",
            "PE"
        ]
    },
    "337": {
        "Title": "Short-Term Load Forecast for Energy Management System Using Neural Networks with Mutual Information Method of Input Selection",
        "Abstract": "\u00a9 2019 The Society of Instrument and Control Engineers - SICE.Energy management system (EMS) provides efficient planning and management of power balance. The load forecast is one of the important tools for EMS. The short-term load forecasting (STLF) has a significant impact on efficient operation of EMS. Particularly, the accuracy of STLF can directly impact to EMS operating performance. This work applies the nonlinear feature selection called Mutual information (MI) method to select significant features of input to improve model performance of Artificial neural network (ANN) and Recurrent neural network (RNN). Then, we compare the STLF with Mae Hong Son data set using the ANN and RNN models. Root mean squared error (RMSE) and Mean absolute error (MAE) are used to determine STLF performance. To illustrate the effectiveness of the improved STFL models, we compare performance between models with MI method and models using stepwise regression method.",
        "Classes": [
            "PE",
            "EE",
            "CPE",
            "MATH"
        ]
    },
    "338": {
        "Title": "Structure and mechanical properties of ADC 12 Al foam-polymer interpenetrating phase composites with epoxy resin or silicone",
        "Abstract": "\u00a9 Carl Hanser Verlag, M\u00fcnchen Materials Testing.Metal foam is a high-porosity engineering material which has many outstanding properties such as lightness, high specific strength and stiffness, large energy absorption during impact and good thermal transportation. Impregnation of metal foams with polymers produces new types of composites such as interpenetrating phase composites (IPCs) and co-continuous composites, due to an interconnection on the macroscopic level of individual phases as a co-continuous 3-D network. The coexistence of the metal and polymer phases allows each to contribute its prominent properties to the composite. This novel composite material is a potential candidate for applications in the automotive and aerospace industries. The present study aims to develop two IPCs from open-cell Al foams of 20 ppi impregnated with silicone or epoxy resin. The compressive behavior and energy absorption characteristics of IPCs are also examined and compared. The results showed that although both IPCs have a similar foam structure with similar density, the disparities in the properties of impregnated polymers lead to distinct mechanical properties. The combination of the Al foam and polymers, both silicone and epoxy resin, yield stiffer IPCs than either of the two individual materials alone. Higher stiffness was found in IPCs with epoxy resin, owing to the brittle nature of the resin. Energy absorption capacity was also increased when compared with the original Al foam.",
        "Classes": [
            "METAL",
            "MATENG",
            "MATSCI"
        ]
    },
    "339": {
        "Title": "An Accuracy and Repeatability of a Robot made with V-Slot Extrusion with built-in Linear Rails",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.Recently, aluminum extrusion with a built-in V-rail linear bearing draws increasing attention, especially among the hobbyist and makers, and is applied into many of their projects. The aluminum extrusion is an open source, light weight, and coming with extensive accessory. This significantly reduces cost and gives flexibility to their projects. Its performance is reasonable and adequate for operations among hobbyist and university's projects. However, the precise accuracy of this kind of robot is usually unavailable. Accordingly, the purpose of this paper is to investigate and analyse performance of the V-Slot extrusion with built-in linear rails robot in terms of accuracy and repeatability. The tools, in this investigation, can be obtained within the ecosystem and the process can be done by the user. This performance result will help general users to define the scope of the operation that can be achieved with reasonable result when using this robot. The methodology, in this experiment, is Trajectory analysis approach that commands the robot to move in both linear and circular, with various travel distances, in a single run, and determine the defects. Effects of travel speed are also investigated. From experimental result, the accuracy of the experimental robot is 0.45 mm in the entire range of motion. This methodology can be applied to other machines with their accuracy not better than 0.1 millimetre due to the precision of tools that are used.",
        "Classes": [
            "METAL",
            "CPE"
        ]
    },
    "340": {
        "Title": "Effect of chromium content on heat treatment behavior of multi-alloyed white cast iron for abrasive wear resistance",
        "Abstract": "\u00a92019 The Japan Institute of Metals and Materials. The effect of chromium (Cr) content on heat treatment behavior of multi-alloyed white cast iron with basic alloy composition of 5 mass% Mo, W and V each and 2 mass%C was investigated. Cast iron with varying Cr content from 3 to 9% was prepared. Specimens were annealed at 1223 K and then hardened using fan air cooling from 1323 and 1373 K austenitizing. Hardened specimens were tempered between 673 and 873 K with 50 K intervals. In the as-cast state, the microstructure of specimens with Cr content less than 5 mass% consisted of primary austenite and eutectic structure of (\u00a3 +MC) along with (\u00a3 +M 2 C). The (\u00a3 +M 7 C 3 ) was observed in specimens with Cr content of more than 5 mass%. In as-hardened state, the hardness increased to the highest value at 5 mass%Cr and subsequently decreased with an increase in the Cr content. The volume fraction of retained austenite (V\u00a3) also behaved in the same way with reference to hardness. In the tempered state, evident secondary hardening was observed in all specimens. Maximum tempered hardness (H Tmax ) was obtained at 773798 K tempering. The V\u00a3 values decreased continuously as the tempering temperature increased and they were overall less than 5% at H Tmax . The degree of secondary hardening (\u00a6Hs) increased proportionally with a rise of V\u00a3 in as-hardened state. The H Tmax increased first and then decreased as the Cr content increased. The highest values of H Tmax were obtained in 5 mass%Cr specimen regardless of austenitizing temperature.",
        "Classes": [
            "METAL",
            "ME",
            "MATSCI"
        ]
    },
    "341": {
        "Title": "Development of mass transfer model for chromatographic separation of free lutein and fatty acids in de-esterified marigold lutein",
        "Abstract": "\u00a9 2018 Institution of Chemical EngineersThis article was aimed to construct a mathematical mass transfer model for chromatographic separation of free lutein and fatty acids in de-esterified marigold lutein. Required model parameters: adsorption isotherm, overall mass transfer and axial dispersion coefficients, were first determined. The adsorption isotherms of the compounds were studied using batch adsorption experiments, while the axial dispersion and overall mass transfer coefficients were determined from published empirical-correlation and correlation developed experimentally from this study, respectively. The adsorption isotherms were found to be linear within the equilibrium concentration of \u2264100 \u03bcg/ml. The isotherm constants of fatty acids were about twice those of free lutein. The isotherm constants and the mass transport parameters were then applied to the mass transfer model. The predicted results were compared with the experimental data at the optimum mobile phase velocity (0.16 cm/s). Good agreement was found, i.e., the average absolute deviations were less than 2% and 7% for semi-preparative and preparative columns, respectively.",
        "Classes": [
            "ME",
            "CHE",
            "MATSCI"
        ]
    },
    "342": {
        "Title": "Railway network modeling using building block of timed coloured petri nets",
        "Abstract": "\u00a9 2018 IEEE.Formal verification is likely an alternative to check safety property of the system model. However, to design an abstract model of huge railway network manually may cause errors because of its complexity. This paper proposes an alternative to generate a formal railway network model from the building blocks of Timed Coloured Petri Nets. Instead of constructing the formal model of a railway network model from scratch using CPN Tools, we provide a set of predefined building blocks of the high-level railway network components, including a train station building block, a rail building block, etc. A set of mapping rules are provided to generate the high-level railway network in terms of building blocks, into Timed Coloured Petri Nets automatically. The resulting formal model is verified using CPN Tools to ensure the correctness, safety, and liveness of the formal railway network model.",
        "Classes": [
            "CE",
            "MATH"
        ]
    },
    "343": {
        "Title": "Estimating user story points using document fingerprints",
        "Abstract": "\u00a9 2017 IEEE.In Scrum process, there are several techniques for estimating user story points such as planning poker, expert judgment and analogy. The effort estimation might be performed by the inexperienced team members who are unfamiliar with the particular business domain involved. To improve the estimation performance, the historical data of the similar user story points from the previous successful projects are considered useful and guiding as the analogous estimation. In this paper, we exploit an alternative searching technique, called the document fingerprints, to retrieve the similar issues from the public repository of project management assets, called JIRA. We also use MMRE and Benchmarking class to evaluate the effectiveness and efficiency of our searching algorithm. The results show that the document fingerprints technique works reasonably well, especially for the user stories regarding the existing business domain.",
        "Classes": [
            "CPE",
            "IE",
            "MATH"
        ]
    },
    "344": {
        "Title": "A Comparative Study on Various Deep Learning Techniques for Thai NLP Lexical and Syntactic Tasks on Noisy Data",
        "Abstract": "\u00a9 2018 IEEE.In Natural Language Processing (NLP), there are three fundamental tasks of NLP which are Tokenization being a part of a lexical level, Part-of-Speech tagging (POS) and Named-Entity-Recognition (NER) being parts of a syntactic level. Recently, there have been many deep learning researches showing their success in many domains. However, there has been no comparative study for Thai NLP to suggest the most suitable technique for each task yet. In this paper, we aim to provide a performance comparison among various deep learning-based techniques on three NLP tasks, and study the effect on synthesized OOV words and the OOV handling algorithm with Levenshtein distance had been provided due to the fact that most existing works relied on a set of vocabularies in the trained model and not being fit for noisy text in the real use case. Our three experiments were conducted on BEST 2010 I2R, a standard Thai NLP corpus on F1 measurement, with the different percentage of noises having been synthesized. Firstly, for Tokenization, the result shows that Synthai, a jointed bidirectional LSTM, has the best performance. Additionally, for POS, bi-directional LSTM with CRF has obtained the best performance. For NER, variational bi-directional LSTM with CRF has outperformed other methods. Finally, the effect of noises reduces the performance of all algorithms on these foundation tasks and the result shows that our OOV handling technique could improve the performance on noisy data.",
        "Classes": [
            "CPE"
        ]
    },
    "345": {
        "Title": "A Comparative Study of the Divalent Transition Metal Oxide Supported on Magnesium Oxide Catalyst for Lactic Acid Production from Glucose",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.In order to achieve the lactic acid production of lower energy consumption, reactor corrosion rate, while being environmentally friendly and sustaining high catalytic activity of various divalent transition metal oxide (Cu, Co, Ni and Zn) supported on magnesium oxide having the hexadecyltrimethylammonium bromide (CTAB) as a capping agent was investigated, where the reaction was performed under mild conditions in an alkali additive-free environment. Among all of the divalent candidates, the ZnCTAB/MgO exhibits the highest activity with a glucose conversion of 64% at a 100\u00b0C and a lactic acid yield of 12% at 140\u00b0C, a pressure of 0.4 MPa, over 1 h of reaction time. This is due to the high basicity produced via the water chemisorption on such catalyst's surface.",
        "Classes": [
            "PE",
            "METAL",
            "CHE"
        ]
    },
    "346": {
        "Title": "Multi-Paths Generation for Structural Rule Quests",
        "Abstract": "\u00a9 2019 IEEE.Existing quest generation systems that use structural rules have an important limitation. A quest generated by such systems are not guaranteed to be flexible such that players can finish the quest in a variety of ways. In this paper, we extend such systems by replacing action-based quests with game state-based quests. A quest generated from our system is filtered for conflicting scenarios and then analyzed using Prolog to guarantee multiple paths of completion. Ensuring that quests always have multiple ways to complete improves quest quality and players' experience.",
        "Classes": [
            "CPE",
            "IE"
        ]
    },
    "347": {
        "Title": "Corrosion behavior of Ti-Cr-N coatings on tool steel substrates prepared using DC magnetron sputtering at low growth temperatures",
        "Abstract": "\u00a9 2018In this research, Ti-Cr-N coatings on tool steel were prepared using DC magnetron sputtering at 25 \u00b0C (RT), 130 \u00b0C and 190 \u00b0C. Coating corrosion behavior was observed in a 3.5% NaCl solution at 25 \u00b0C using Potentiodynamic Polarization and Electrochemical Impedance Spectroscopy (EIS). EIS circuit models for corrosion kinetics were proposed and the surface area and porosity of the coatings were recorded. Corrosion resistance was found to be higher for the coatings grown at 190 \u00b0C. This could be attributed to high density as well as low porosity. The EIS circuit model suggests the penetration of corrosive electrolytes into pores reaching the steel substrate for the coatings grown at RT. Finite length diffusion inside pores was also observed. The slow infiltration of corrosive electrolytes into the steel substrate could be seen in coatings grown at 130 \u00b0C with diffusion inside the pore similar to that in the coatings grown at RT. However, the EIS circuit model did not exhibit a finite length diffusion of the coatings grown at 190 \u00b0C. Owing to high coating density and smaller pore size, corrosive electrolytes could hardly penetrate through and reach the steel substrate.",
        "Classes": [
            "METAL",
            "EE",
            "CHE",
            "MATENG",
            "MATSCI"
        ]
    },
    "348": {
        "Title": "Application of computational fluid dynamics and response surface methodology in downdraft gasification using multiple biomass pellets",
        "Abstract": "\u00a9 2023 Elsevier LtdDowndraft gasifier is a promising technology converting biomass into synthesis gas (syngas) for decentralized heat and power generation. As biomass is seasonal variation and diversity, the design of the gasifier should consider a variety of biomass feedstock. This study investigated a single-designed downdraft gasifier of different biomass pellets using computational fluid dynamics and optimized for producer gas quality and gasifier efficiencies. Three biomass pellets, i.e., wood, bagasse, and palm-oil empty fruit bunch (PEFB), were considered the primary qualitative variable in addition to the main process variables, i.e., air-inlet temperature and equivalence ratio (ER). Response surface methodology (RSM) and multi-objective genetic algorithm (MOGA) were carried out for process and biomass optimization. Tar yield is considered a response for optimization along with carbon conversion (CCE) and cold gas efficiencies (CGE). The results showed that ER and biomass type are crucial. The range of ER for each biomass should be carefully selected. The maximum efficiencies of the gasifier can be achieved using PEFB pellets, whereas the minimum tar yield was attained using wood pellets. The CCE and CGE of 93.11% and 65.16%, respectively, and the tar yield of 12.36 mg Nm\u22123, were obtained at an optimum ER of 0.28 and air-inlet temperature of 1272.8 K using PEFB pellets.",
        "Classes": [
            "PE",
            "CPE",
            "CHE",
            "AGRI",
            "IE",
            "MATH",
            "MATSCI"
        ]
    },
    "349": {
        "Title": "Portioning Algorithm Using the Bisection Method for Slicing Food",
        "Abstract": "\u00a9 2023 IEEE.Food is an essential part of human life and plays a crucial role in maintaining good health and well-being. In various industries, such as food processing and packaging, it is essential to ensure that raw materials are divided equally to optimize the production process and reduce waste. However, traditional methods of food processing and packaging can be time-consuming and prone to errors. Hence, we are interested in developing a method for accurately portion materials into equal sizes using the Intel RealSense D435i 3D camera to capture point cloud images of object, which are then processed using Python code, running on a Raspberry Pi 4, to generate cutting planes. In the experiment on object size variations, three sizes of plasticine weighing 50 g, 150 g, and 250 g. resulting in errors of 10.2%, 8.8%, and 7.3%, respectively. In the experiment on the number of cutting plane variations, keeping the object weight fixed at 150 g at 150 g, and divided into 2, 3, 4, and 5 pieces. The resulting errors were 1.3%, 8.8%, 10.7%, and 18.2%, respectively, according to the number of pieces. Our algorithm can generate precise cutting planes to partition the volume of an object. The primary cause of errors is the shape resolution of the object's point cloud that the camera can collect and the use of human hands for cutting the object.",
        "Classes": [
            "CPE",
            "OPTIC",
            "AGRI"
        ]
    },
    "350": {
        "Title": "Defect reduction in the manufacturing process of in-mould decoration of injection moulded components",
        "Abstract": "\u00a9 2019 Trans Tech Publications Ltd, Switzerland.The purpose of this research is to reduce the defect rate from the manufacturing process of in-mould decoration (IMD), the process combining PET film with decorative patterns are moulded together with ABS resins, which has been developed to reduce the secondary process of decorative screen printing. Recently, the case study company has produced components with a high defect rate, which increased sharply to 22.3% in June 2018. The major causes of the defect resulting from PET film peeled off. In order to reduce the defect rate, the five steps of the DMAIC Six Sigma methodology are implemented. The detail of the IMD manufacturing process was studied to identify appropriate measurement methods and factors affecting PET film peeled off by using the cause and effect diagram and its scoring matrix. Then the prioritized factors were analyzed and selected from FMEA to conduct the design of experiment (DOE) to find significant factors and optimal parameter settings for improvement and control process to prevent reoccurrence. After improvement of PET film peeled off by setting appropriate parameter as well as implementing control plans and Standard Operation Procedure (SOP) to eliminate other defects from in-mould decoration process, the result shows that the defect rate of in-mould decoration process decreased from 22.3% to 0.7% in July 2018.",
        "Classes": [
            "OPTIC",
            "MATENG",
            "EDU",
            "IE",
            "MATSCI"
        ]
    },
    "351": {
        "Title": "Occluded Facial Recognition with 2DPCA based Convolutional Neural Network",
        "Abstract": "\u00a9 2019 IEEE.Face occlusions with glasses or scarf are quite common in the real-world scenes, or more seriously, terrorists often cover their faces with sunglasses or a mask to hide themselves from the cameras. Occluded facial recognition is, therefore, an important problem in surveillance defense department. A system that can recognize faces with occlusions may need to be trained by a huge set of facial databases. To reduce the complexity of an occluded facial recognition system, this paper investigates the effects of the two-dimensional principal component analysis (2DPCA) in the initialization phase on image classification by the convolutional neural network (CNN). Our experiments show that 2DPCA can reduce the image dimension for training while keeping the accuracy rate comparing to using the whole images. Our results, at 0.001 learning rate, showed 81.91% accuracy with 120 eigenvectors for the AR database, and 99.95 % accuracy rate with 190 eigenvectors for the GTAV database.",
        "Classes": [
            "EE",
            "CPE",
            "MATH"
        ]
    },
    "352": {
        "Title": "Flexible Printed Active Antenna for Digital Television Reception",
        "Abstract": "\u00a9 2018 The Institute of Electronics, Information and Communication Engineers (IEICE).This paper presents the development of a flexible printed active antenna for the digital television (DTV) reception in areas having poor signal or in high-rise buildings. The antenna structure is composed of a meander line printed on a polyimide film as a radiating element. It has a thickness of 0.3 mm, highly flexible, and very lightweight. The design and analysis of the radiating element are based on a full-wave method implemented by a commercial electromagnetic simulation software. The amplifier circuit consisting of a surface-mount transistor and passive components are integrated directly on the polyimide film, residing next to the feedline, to improve the antenna performance and minimize the whole antenna dimension. The impedance matching between the radiating element, the feed line, and the active circuit are considered. The measured results show that the return loss of more than approximately 10 dB, the maximum gain of about 18 dB, and the Omni-directional radiation pattern are achieved in the operating frequency band of 510-790 MHz. Due to its flexibility, low profile, lightweight, and additional gain, the proposed antenna could be useful for various specific applications.",
        "Classes": [
            "CE",
            "EE",
            "CPE",
            "MATENG"
        ]
    },
    "353": {
        "Title": "Unit Management of a BESS-Integrated Hydro Power Plant for Spinning Reserve Enhancement",
        "Abstract": "\u00a9 2021 IEEE.Owing to its fast response, the hydro power plant is normally assigned to provide spinning reserve for the power system. Despite of its large capacity, minimum generation constraint and lack of management of multi-unit generations result in limited spinning reserve. This paper solves this problem by integrating a battery energy storage system with the hydro power plant and proposes a unit management algorithm to cooperatively manage the multi-unit generation. As a result, the hydro power plant can virtually provide any demanded generation, and its spinning reserve is increased significantly compared to the traditional operation. A case study on Rajjaprabha hydro power plant in Thailand is conducted to confirm feasibility of the proposed concept.",
        "Classes": [
            "PE",
            "ME",
            "MATENG"
        ]
    },
    "354": {
        "Title": "Designing number of Kanban in glove box assembly",
        "Abstract": "\u00a9 The Authors, published by EDP Sciences, 2018.For many decades, Just-In-Time manufacturing and lean manufacturing have adopted kanban system as a mean to control inventory and production. A number of tagged kanban cards represents inventory of the system, whereas untagged kanban cards equate to production orders. The ideal conditions are a consistent product mixed with a small production lot size and minimum setup time. Such conditions are difficult to obtain even in many automotive assembly lines similar to a case study. The case study assembly line is a glove box assembly production line that assembles two plastic parts and wields them together with a vibration machine after positioning in a mold designed for different products. Because of storage equipment, each kanban card represents 60 identical glove boxes. Therefore, a production engineer re-schedules the production planning to minimize the numbers of changeover without any effect on downstream. This ad hoc production scheduling leads to urgent production orders and interruption of lot size. As a result, the factory embeds historical data into a computer simulation that accounts for current molds, receiving time, and numbers of pending kanban cards, as well as number of storage equipment. The results of this simulation reveals that scheduling criteria and suggest a suitable lot size if the factory decides to change a storage equipment.",
        "Classes": [
            "METAL",
            "ME",
            "CPE",
            "MATENG",
            "IE"
        ]
    },
    "355": {
        "Title": "Comparison of EEG measurement of upper limb movement in motor imagery training system",
        "Abstract": "\u00a9 2018 The Author(s).Background: One of the most promising applications for electroencephalogram (EEG)-based brain computer interface is for stroke rehabilitation. Implemented as a standalone motor imagery (MI) training system or as part of a rehabilitation robotic system, many studies have shown benefits of using them to restore motor control in stroke patients. Hand movements have widely been chosen as MI tasks. Although potentially more challenging to analyze, wrist and forearm movement such as wrist flexion/extension and forearm pronation/supination should also be considered for MI tasks, because these movements are part of the main exercises given to patients in conventional stroke rehabilitation. This paper will evaluate the effectiveness of such movements for MI tasks. Methods: Three hand and wrist movement tasks which were hand opening/closing, wrist flexion/extension and forearm pronation/supination were chosen as motor imagery tasks for both hands. Eleven subjects participated in the experiment. All of them completed hand opening/closing task session. Ten subjects completed two MI task sessions which were hand opening/closing and wrist flexion/extension. Five subjects completed all three MI tasks sessions. Each MI task comprised 8 sessions spanning a 4weeks period. For classification, feature extraction based on common spatial pattern (CSP) algorithm was used. Two types were implemented, one with conventional CSP (termed WB) and one with an increase number of features achieved by filtering EEG data into five bands (termed FB). Classification was done by linear discriminant analysis (LDA) and support vector machine (SVM). Results: Eight-fold cross validation was applied on EEG data. LDA and SVM gave comparable classification accuracy. FB achieved significantly higher classification accuracy compared to WB. The accuracy of classifying wrist flexion/extension task were higher than that of classifying hand opening/closing task in all subjects. Classifying forearm pronation/supination task achieved higher accuracy than classifying hand opening/closing task in most subjects but achieved lower accuracy than classifying wrist flexion/extension task in all subjects. Significant improvements of classification accuracy were found in nine subjects when considering individual sessions of experiments of all MI tasks. The results of classifying hand opening/closing task and wrist flexion/extension task were comparable to the results of classifying hand opening/closing task and forearm pronation/supination task. Classification accuracy of wrist flexion/extension task and forearm pronation/supination task was lower than those of hand movement tasks and wrist movement tasks. Conclusion: High classification accuracy of the three MI tasks support the possibility of using EEG-based stroke rehabilitation system with these movements. Either LDA or SVM can equally be chosen as a classifier since the difference of their accuracies is not statistically significant. Significantly higher classification accuracy made FB more suitable for classifying MI task compared to WB. More training sessions could potentially lead to better accuracy as evident in most subjects in this experiment.",
        "Classes": [
            "BME",
            "CPE",
            "MATH"
        ]
    },
    "356": {
        "Title": "Hydrogen activated WOx-supported catalysts for Lewis acid transformation to Bronsted acid observed by in situ DRIFTS of adsorbed ammonia: Effect of different supports on the Lewis acid transformation",
        "Abstract": "\u00a9 2019 Elsevier B.V.The effect of hydrogen introduction on Lewis acid transformation to Bronsted acid was investigated over the WOx catalysts supported on different supports (HY-15, HY-500, MCM-22, SiO2, and Al2O3). The Lewis acid transformation on the catalysts was investigated by in situ diffuse re\ufb02ectance infrared Fourier transform spectroscopy (DRIFTS) of adsorbed NH3 at 100 \u00b0C under atmospheric pressure for 130 min. According to the results of in situ DRIFTS, ammonia migration from Lewis acid sites to Bronsted acid sites occurred over the WOx catalysts supported on all different supports. It is proposed that the partial reduction of WOx occurred under the hydrogen atmosphere, resulting in the generation of oxygen vacancies sites. The generated oxygen vacancies of the supported WOx catalysts were found to play an important role for activating the hydrogen spillover, leading to Lewis acid transformation to Bronsted acid. It was suggested that the selected support is the crucial factor for Lewis acid transformation performances. The results from our experiments showed that the weak interaction between WOx and support led to the easy reduction of W species, which promoted the generation of oxygen vacancies sites. The large amount of oxygen vacancies leads to high Lewis acid transformation. Moreover, the influence of different supports was discussed and investigated by several analytical techniques such as H2-TPD, H2-TPR, O2-TPD, UV\u2013vis, XRD, XPS, and TEM-EDS techniques.",
        "Classes": [
            "ENV",
            "CHE",
            "MATSCI"
        ]
    },
    "357": {
        "Title": "Warehouse Management Improvement for a Textile Manufacturer",
        "Abstract": "\u00a9 2019 IEEE.This research aims to improve an inefficient warehouse management of a textile manufacturer in Thailand who has been facing an unpredictable seasonable demand and operated under poor space utilization. A few hours of downtime often occurred in a day which directly impacted on the production and in turn led to the late weekly shipment. On average, in 2018, only 83% of the shipments were on time (the target is 95%). One of the main root cause was the lack of materials due to unorganized inventory management that caused longer time to find materials. In order to reduce the downtime and improve the space utilization of the warehouse, inventory management and warehouse management systems were reviewed and a number of solutions were introduced. Firstly, inventories were classified and slow-moving or unused items were removed from the warehouse. Secondly, ABC analysis was introduced for the active ones. The layout of the warehouse was re-designed and a new operations system was developed. The result shows that inactive items had occupied most of the warehouse space equivalent to 1,342 pallets which were put in the disposal list. Moreover, new material handling equipment was brought into the warehouse to facilitate its operations.",
        "Classes": [
            "MATENG",
            "IE"
        ]
    },
    "358": {
        "Title": "Design and Development of an Assistive Hand Device for Enhancing Compatibility and Comfortability",
        "Abstract": "\u00a9 2018 IEEE.Currently, there are plenty of hand exoskeletons for rehabilitation and assistive purpose that have been developed. They have been designed for working with patient's limbs and can be used for hand positioning and executing task which help reduce therapist's workload and give them an alternative way to rehabilitate patients. However, there are some patients with permanent impairments, which cannot improve from rehabilitation. Thus, portable assistive devices could greatly help them performing simple activities of daily living (ADL), but such device has not been fully explored, the present design of tendon routing cannot closely replicate finger orientation and motion during grasping. Improving the flexion tendon would increase the possibility of grasping for patients with hand disability. This research aims to develop a tendon routing design of a soft exoskeleton to increase compatibility with human hand, while it can execute tasks and exercises more naturally compared to normal limbs to help stroke patients to live independently. The results convinced that the proposed flexion routing can closely replicate human grasping motion with sufficient fingertip force to perform daily activities.",
        "Classes": [
            "BME",
            "EDU"
        ]
    },
    "359": {
        "Title": "Microencapsulation of n-octadecane and methyl palmitate phase change materials in silica by spray drying process",
        "Abstract": "\u00a9 2019 Elsevier B.V.The encapsulation of phase change materials (PCM) is the essential step to make PCM easily utilizable. Aiming for a feasible process on a large scale, the combination of PCM/sol-gel emulsion and the spray-dry process was employed for the production of PCM encapsulated in silica shell matrices. Two PCMs, methyl palmitate and n-octadecane, with operating temperature appropriated for thermal comfort in trocical countries were selected. The composition of emulsion, i.e. tetraethyl orthosilicate (TEOS), cetyl trimethyl ammonium bromide (CTAB), and n-octadecane or methyl palmitate, was varied to find the optimal conditions for encapsulation. The influence of composition and process time on PCM's emulsion stability, size and structure of microcapsules, and encapsulation efficiency were investigated. The results showed that the optimal PCM to silica ratio was determined by the maximum quantity that could maintain the rigidity of the microcapsule structure. The low surfactant concentration that could still sustain emulsion stability contributed to improved encapsulation efficiency.",
        "Classes": [
            "CE",
            "CHE",
            "MATENG",
            "IE",
            "MATSCI"
        ]
    },
    "360": {
        "Title": "Impact Analysis of Test Cases for Changing Inputs or Outputs of Functional Requirements",
        "Abstract": "\u00a9 2019 IEEE.In the software development process, requirement gathering process is very important because if the requirement elicitation is incomplete, it will result in changes of requirements. When changes occur, it may impact functional requirements and thus the changes should be controlled. Each function appeared in functional requirement consists of function name, description of function, inputs and outputs specification, and error messages of the function. Inputs and outputs specification of each function can be specified in terms of input and output names, input and output data types, as well as input and output constraints. Inputs and outputs of each function may be related and not related to database schema. Thus, when changes of inputs or outputs of a function that are related to database schema are occurred, the database schema and test cases of the function will be affected. This paper proposes an approach to analyze impact to test cases for changing inputs or outputs of functional requirements. Our approach offers change process to control changes over functional requirements, test cases, and database schema. The approach also enables rollback facility that allows cancelling of changes.",
        "Classes": [
            "CPE",
            "EDU"
        ]
    },
    "361": {
        "Title": "Classification of pulmonary tuberculosis lesion with convolutional neural networks",
        "Abstract": "\u00a9 2019 IOP Publishing Ltd. All rights reserved.The concept of computer-aided diagnosis (CAD) for chest x-rays (CXR) has been around for the past fifty years. CAD can help in early diagnosis and reduce the deaths caused by late diagnosis and lack of treatment. Applying deep learning techniques for classification of medical images has seen considerable growth in recent years. Convolutional Neural Networks (CNNs) are a class of powerful generative models well known for image classification and segmentation. This paper has studied three deep neural networks: AlexNet, VGG-16 and CapsNet, for classifying tuberculosis in CXR images. The customized models are created using the datasets acquired from National Library of Medicine and private Thai datasets. Data augmentation with shuffle sampling is used to prevent overfitting in the constructed models. The performance of classifiers has been evaluated with the measures: accuracy, sensitivity and specificity. All model accuracy increases with the augmented dataset. The method of affine transformation has also applied to investigate the model accuracy when predicting the test set contains variant instances unseen in the training CXR images.",
        "Classes": [
            "BME",
            "EE",
            "OPTIC"
        ]
    },
    "362": {
        "Title": "Real Estate Recommendation Approach for Solving the Item Cold-Start Problem",
        "Abstract": "\u00a9 2013 IEEE.The item cold-start problem occurs when a recommendation system cannot recommend new items owing to record deficiencies and new listing omissions. When searching for real estate, users can register a concurrent interest in recent and prior projects. Thus, an approach to recommend cold-start and warm-start items simultaneously must be determined. Furthermore, unrequired membership and stop-by behavior cause real estate recommendations to have many cold-start and new users. This characteristic encourages the use of a content-based approach and a session-based recommendation system. Herein, we propose a real estate recommendation approach for solving the item cold-start problem with acceptable warm-start item recommendations in the many-cold-start-users scenario. We modify a session-based recommendation system and employ existing mechanisms to efficiently deal with sequential and context information for the next-interacted item's encoded attribute prediction. Subsequently, we use the nearest-neighbors approach using weighted cosine similarity to determine conforming candidates. We use Recall@K and MRR@K with the top-n recommendation to evaluate warm-start and cold-start item recommendations among different applied mechanisms and against the baselines. The results demonstrate the effectiveness of efficiently integrating the information and the difficulty in performing well in warm-start and cold-start item recommendations simultaneously. Our proposed approach illustrates the capability of solving the item cold-start problem while yielding promising results in both recommendations although neither result is the best. We believe that our approach provides a suitable compromise between both recommendations and that it will benefit recommendation tasks focusing on both recommendations.",
        "Classes": [
            "CPE"
        ]
    },
    "363": {
        "Title": "Optimal hybrid renewable energy system considering maximum profit from electricity sale",
        "Abstract": "\u00a9 2019 IEEE.This paper proposes a method to determine the proportion of different renewable energy systems which are combined to be a hybrid renewable energy system. In addition, the daily operation of each renewable energy system can be determined. The results are aimed to be an optimal hybrid renewable energy system which provides the maximum profit from electricity sale throughout the project lifetime. Since the capacity and operation characteristics of renewable energy systems depend on their limited renewable energy resources in the vicinity of project locations and the characteristic of generators, the analysis considers the constraints along with investment cost, fuel cost, operation and management cost and financial parameters such as inflation rate, discount rate and interest. Furthermore, this paper considers various renewable energy sources consisting of solar, wind, biomass, biogas and RDF which are combinable to be thirteen combinations of hybrid renewable energy systems. Thailand's renewable energy data, generation characteristics and financial parameter data are used in the simulation. The results provide the most appropriate proportion of different renewable energy systems and daily operation of each combination of hybrid renewable energy systems.",
        "Classes": [
            "PE",
            "IE"
        ]
    },
    "364": {
        "Title": "Inhibition effect of Na+ form in ZSM-5 zeolite on hydrogen transfer reaction via 1-butene cracking",
        "Abstract": "\u00a9 2019The Na+ and H+ of ZSM-5 having three Si/Al molar ratios (20, 35, and 50) were synthesized to investigate and illustrate 1-butene cracking mechanism. The physical and chemical properties of ZSM-5 were described by XRD, SEM-EDX, N2 physicsorption, FT-IR, pyridine-IR, 1H MAS NMR, TPO, and NH3-TPD techniques. For the characterization, the Na-ZSM-5 consisted of two main types of acid sites (weak and medium acid sites), whereas strong, medium, and weak acid sites were detected on H-ZSM-5. For H-ZSM-5, the Si-(OH)-Al site (strong Br\u00f8nsted site) was an active site for 1-butene cracking reaction, while the active site of Na-ZSM-5 in the reaction was silanol nest (moderate Br\u00f8nsted site). The 1-butene cracking reaction on H-ZSM-5 and Na-ZSM-5 was studied under the operating condition of temperature =500 \u00b0C, pressure =1 atm, and WHSV =3 h\u22121. The oligomerization, cracking, and hydrogen transfer were three main reactions in the 1-butene cracking mechanism. The alkenes excluding propylene occurred on weak acid site, while the formation of propylene underwent on medium acid site of ZSM-5 catalyst. The presence of strong acid site on ZSM-5 catalyst promoted the hydrogen transfer reaction, which provoked the alkane formation. The hydrogen transfer index in 1-butene reaction of Na-ZSM-5 was less than H-ZSM-5 in all Si/Al molar ratios because of the absence of strong acid. The Na-ZSM-5 (Si/Al molar ratio = 20) reached the highest propylene selectivity at 31.73 C-wt.% and the Na+ ion could block the strong acid site. At low Si/Al molar ratio, the stability of Na-ZSM-5 was higher than H-ZSM-5 because of the lower coke formation. Therefore, the Na-ZSM-5 was more suitable catalyst than H-ZSM-5 for propylene formation in 1-butene cracking reaction.",
        "Classes": [
            "METAL",
            "CHE"
        ]
    },
    "365": {
        "Title": "Convex formulation for regularized estimation of structural equation models",
        "Abstract": "\u00a9 2019 Elsevier B.V.Path analysis is a model class of structural equation modeling (SEM), which it describes causal relations among measured variables in the form of a multiple linear regression. This paper presents two estimation formulations, one each for confirmatory and exploratory SEM, where a zero pattern of the estimated path matrix can explain a causality structure of the variables. The original nonlinear equality constraints of the model parameters were relaxed to an inequality, allowing the transformation of the original problem into a convex framework. A regularized estimation formulation was then proposed for exploratory SEM using an l1-type penalty of the path coefficient matrix. Under a condition on problem parameters, our optimal solution is low rank and provides a useful solution to the original problem. Proximal algorithms were applied to solve our convex programs in a large-scale setting. The performance of this approach was demonstrated in both simulated and real data sets, and in comparison with an existing method. When applied to two real applications (learning causality among climate variables and examining brain connectivity in autism patients using fMRI time series from ABIDE data set) the findings could explain known relationships among environmental variables and discern known and new brain connectivity differences, respectively.",
        "Classes": [
            "MATH"
        ]
    },
    "366": {
        "Title": "Synergistic strippants of Pd (II) ions in the presence of chloride medium from wastewater of electroless plating process via solvating system: Kinetics and thermodynamics study",
        "Abstract": "\u00a9 2018, \u00a9 2018 Taylor & Francis Group, LLC.Synergistic strippants of palladium complex with Trialkylmethylammonium chloride (Aliquat 336) has been investigated. Results show that synergistic strippants of thiourea and HCl can enhance the palladium stripping efficiency from the loaded Aliquat 336. Extraction of Pd (II) ions is sensitive to the concentration of extractant and chloride medium. The partition coefficient ascertained from the model was fitted with an experimental value. Thermodynamics analysis showed that \u0394H and \u0394S values were obtained at 10.74 kJ/mol and 77.81 J/molK, respectively.",
        "Classes": [
            "METAL",
            "ME"
        ]
    },
    "367": {
        "Title": "Experimental investigation on mechanical properties of geosynthetic cementitious composite mat (GCCM)",
        "Abstract": "\u00a9 2018 Elsevier LtdIn this paper, the behaviour of geosynthetic cementitious composite mat (GCCM) made of geotextiles and cement powder was investigated. The aims of the development of the GCCM are focused on geotechnical engineering applications. Experimental study includes physical and mechanical properties investigation of GCCM under installation and loading conditions. Testing of tension and flexure by monotonic loading showed that the GCCM can be used in soil reinforced structure. Additionally, puncture and frictional resistances of the GCCM are also important properties for slope protection. In conclusion, enhancing geosynthetic with cement paste can provide both strength and durability to be used for slope stabilisation. The key properties of GCCM reported in this paper can be used as design parameters of GCCM for geotechnical engineering applications.",
        "Classes": [
            "CE",
            "PE",
            "MATSCI"
        ]
    },
    "368": {
        "Title": "Absorption process with aqueous solution of 2-(methylamino) ethanol for carbon dioxide removal from gas stream",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.In power generation and petroleum industries, carbon dioxide can cause operational problems such as corrosion, and heating-value reduction. However, it can be used in many industries like food industries and in petroleum to enhance the oil recovery for oil production. However, the amount of carbon dioxide or supply is not enough because the cost of carbon capture is high. The main sources of carbon dioxide come from power plants and natural gas processing. The technology is carbon capture and storage. Currently, the effective technology to remove carbon dioxide to the lower level is chemical absorption and chemicals used in this technology play an important role. Nowadays, the commercially used solvents are monoethanolamine. Nevertheless, it also has disadvantages such as low capacity, corrosion and high energy requirement for regeneration; thus, making this technology not economically viable. Therefore, many new solvents such as 2-(methylamino)ethanol have been developed to improve efficiency and to compensate the drawbacks of conventional solution for carbon dioxide capture. Consequently, the aim of this work is to measure the solubility data of carbon dioxide in a 5M aqueous solution of 2-(methylamino)ethanol as a solvent at the temperature from 30 \u00b0C to 80 \u00b0C and partial pressures ranging from 5 to 100 kPa. The solubility results of carbon dioxide in 2-(methylamino)ethanol solution are compared with that of the aqueous solution of monoethanolamine at the same conditions. In term of cyclic capacities, the results show that 2-(methylamino)ethanol provides higher performance which is up to 86.8% and 150.9% higher than that of monoethanolamine at 15 and 100 kPa, respectively. Furthermore, the results present that the loading can increase as partial pressure increases and decrease at higher temperature. This can result in the decrease in energy requirement for solution regeneration and liquid-circulation rate, leading to the reduction in the overall cost of carbon capture.",
        "Classes": [
            "ENV",
            "PE",
            "CPE",
            "CHE"
        ]
    },
    "369": {
        "Title": "Parameter-controllable microchannel reactor for enhanced deposition of copper sulfide thin films",
        "Abstract": "\u00a9 2017 Elsevier B.V.A microchannel reactor was designed and fabricated based on the unique fluid-flow and mass transfer characteristics in a closely parallel channel for the deposition of copper sulfide (CuxS) thin films. The configuration of the microchannel allows the flow pattern to be confined uniformly across the channel width and length, thereby resulting in a uniform deposited thin film covering the whole surface of the substrate. A parametric study of the deposition of CuxS thin films was performed, including the effects of deposition time (2\u201310 min), flow rate (2\u20136 ml/min) and reaction temperature (60\u201380 \u00b0C). It was observed that the basic characteristics of CuxS films, such as morphology, film thickness, film composition and optical band gap, were highly affected by all deposition parameters. We were able to attain smooth, dense and adherent CuxS film with homogeneous grains at a high growth rate of 1.8 \u03bcm/h, by optimizing the controllable parameters. The optimized condition was at temperature of 80 \u00b0C, flow rate of 6 ml/min and deposition time of 4 min. The results showed that the film formation by heterogeneous nucleation and growth on the substrate is promoted over homogeneous reaction in the solution phase, which is strongly due to the incorporation of the optimal channel design in a micro-scale structure together with the controlled deposition parameters. This method can overcome the issue of the deposition in limited area and can be scaled for large-area substrates with good uniformity of CuxS films.",
        "Classes": [
            "METAL",
            "ME",
            "CHE",
            "MATSCI"
        ]
    },
    "370": {
        "Title": "Loss time reduction for improve Overall Equipment Effectiveness (OEE)",
        "Abstract": "\u00a9 2018 IEEE.A Tobacco industry was facing some problem due to breakdowns, equipment defects and poor working condition. During August 2016 to July 2017. The average OEE is 66%. The OEE performance indicator focusing on Availability rate is 89%, Performance rate is 75% and Quality rate is 99%. This is due to the lack of performance rate and this number is declining. The purpose of this paper is to reduce loss time in Tobacco industry and improve performance rate as well as to enhance the Overall Equipment Effectiveness (OEE) through the implementation of Total Productive Maintenance (TPM) and RCM (Reliability Centered Maintenance) by using Failure Modes and Effects Analysis (FMEA). After implementation, the performance rate has increased from 75% to 79% which also enhance OEE from 66% to 72%.",
        "Classes": [
            "AGRI",
            "IE",
            "SAFETY"
        ]
    },
    "371": {
        "Title": "Heuristics for a periodic-review policy in a two-echelon inventory problem with seasonal demand",
        "Abstract": "\u00a9 2019 Elsevier LtdThis paper proposes heuristic methods to determine an ordering policy with a minimum inventory cost while satisfying the expected service level constraint in a divergent two-echelon inventory system. A periodic-review base-stock policy with an echelon stock concept was applied at all locations. Seasonal demand with a short cycle was considered at the level of the retailers. A two-phase heuristic method was then proposed to reduce the computational time required to determine a proper policy compared to the mixed-integer programming models. The first-phase algorithm was used to determine the initial ordering policy for each location, while the second-phase algorithm was used to determine the safety stock. Both algorithms could find solutions that are as good as the solutions from the mixed-integer programming models in testing instances but they substantially reduced the computational time. The solutions were tested with other instances having a 10,000-period horizon, where the average loss was within the expected service level and the number of periods with an unsatisfied expected service level was less than 1% of the planning horizon.",
        "Classes": [
            "CPE",
            "IE",
            "MATH"
        ]
    },
    "372": {
        "Title": "Relevant factors and classification of student alcohol consumption",
        "Abstract": "\u00a9 2018 IEEE.Educational data mining is the process of applying data mining tools and techniques to analyze data for educational purpose. This paper carries out educational data mining to study the student alcohol consumption through a public dataset which includes student attributes and their grades. The decision tree algorithm and the random forest algorithm are applied to perform classification and to analyze the variable importance. The regression model is then employed to illustrate the relationship between alcohol consumption level and the students' final grades. Our analysis provides knowledge on the relationship between student characteristics and alcohol consumption. The study also compares performance of the decision tree algorithm and the random forest algorithm.",
        "Classes": [
            "EE",
            "CPE",
            "MATH"
        ]
    },
    "373": {
        "Title": "Deep Neural Network based on Genetic Algorithm and Ensemble Methods for Regional Solar Power Forecasting in Thailand",
        "Abstract": "\u00a9 2019 IEEE.This article presents Deep Neural Network (DNN) based on Genetic Algorithms (GA) and Ensemble Methods for Regional Solar Power Forecasting in Thailand for one day in advance by using forecast weather data, real measured data and Solar power data and applying DNN with structure (window size, number of neurons in hidden layer, activation function, loss function, optimizer, numbers of epoch) designed with GA as well as using Ensemble Methods to blend the forecast values from each model together with Neural Network to improve predictive accuracy which is the solar power forecast. This article uses a total of 7 power plants with total power generation capacity of 436 MW. The strength of the proposed method is 1) Using inputs from multiple models to improve accuracy. 2) Weights are provided for weather forecast station surrounding power plants. 3) Models are structurally designed with GA. 4) Combining the advantages and decreasing the disadvantages of other models, by applying all these techniques for forecasting the total power generation capacity of all 7 solar power plants as a case study and found that the Root Mean Square Error was 5.61%, which decreased by 1.71% compared to the single model that provides the best forecasting results.",
        "Classes": [
            "ENV",
            "ME",
            "EE",
            "MATH"
        ]
    },
    "374": {
        "Title": "CO2 geological storage coupled with water alternating gas for enhanced oil recovery",
        "Abstract": "Copyright \u00a9 2018, AIDIC Servizi S.r.l.Due to the climate change and global warming, the concern about CO2 emission into the atmosphere has been raised in many industries such as oil and gas business. The sources of CO2 include natural gas processing and other processes. The current technology to mitigate CO2 is carbon capture, storage and utilisation. At the same time, oil production is expected to increase due to the higher consumption. CO2 geological storage in depleting oilfield coupled with enhanced oil recovery can be a better technology to meet both requirements. The excellent example of this technology is the Weyburn Project in Canada that can store CO2 and produce more oil as well as prolong the reservoir life. From this successful project, the technology is studied by applying it with the depleting oilfield for both oil production and CO2 storage in the North of Thailand by using simulation model. It becomes the objective of this research, which is to evaluate CO2 geological storage coupled with water alternating gas (WAG) for enhanced oil recovery as well as to study the effects the parameters, such as total hydrocarbon pore volume (HCPV) injection and WAG ratio, on oil production and CO2 consumption and sequestration for enhanced oil recovery, with the added benefit of carbon sequestration. CMG software from Computer Modeling Group Ltd. is used to create the 3D simulation model to predict the CO2 storage in the geological formation. From the simulation, the results reported that oil can be produced up to 125,976 m3 of oil or 57 % recovery, CO2 consumption is 66,261 m3 of gas and CO2 utilisation is approximately 0.53 m3 of gas per m3 of oil. The main parameters for WAG process is WAG ratio in that oil production increases as WAG ratio increases. CO2 consumption increases with total HCPV injection. The results of this study can be applied to develop the CO2 enhanced oil recovery (EOR) in the depleting oilfield in the North of Thailand for both oil production and CO2 storage.",
        "Classes": [
            "ENV",
            "PE",
            "ME",
            "CPE",
            "CHE"
        ]
    },
    "375": {
        "Title": "The environmental impact assessment of gold extraction processes for discarded computer RAM: a comparative study of two leaching chemicals",
        "Abstract": "\u00a9 2021, Springer Japan KK, part of Springer Nature.Electrical and electronic equipment waste (WEEE) problems should be set as a priority in Thailand due to unpleasant operations. E-waste mismanagement caused by illegal transport of WEEE has intensified public health and environmental concerns. Computers are processed in recycling industries, but they still contain vulnerable metal remnants, such as gold. High-grade components, such as Random-Access Module (RAM), for example, are often extracted by hydrometallurgical processes through different leaching chemicals along with their related methods. Gold leaching agents, including aqua regia and cyanide-based solutions, were considered to extract gold from computer RAM in this study. Environmental impacts of the two extracting processes were investigated using material flow analysis and life cycle assessment, based on 1 kg of recovered gold. The effect of pulp density was also measured. The comparison between the two leaching processes without waste management demonstrated that the cyanide-based solution provided 8.5 times lower in terrestrial ecotoxicity and 6.4 times lower in human carcinogenic toxicity than aqua regia due to the lower overall chemical consumption. Nevertheless, proper wastewater treatments and a combination of incineration and landfill for solid waste treatment are potential options to minimize these impacts.",
        "Classes": [
            "ENV",
            "METAL",
            "CPE",
            "CHE"
        ]
    },
    "376": {
        "Title": "Model Predictive Control of Energy Management System for Economic Dispatch with Application to MHS Microgrid in Normal Operation",
        "Abstract": "\u00a9 2019 Institute of Control, Robotics and Systems - ICROS.Power generation in microgrid are conventionally decentralized making the grid management increasingly complex. Energy management system (EMS) is very important for power system planning and operation of microgrid. To make sure that the generation meets challenges of load profile requires more robust and effective EMS of microgrid. Specifically, the planning and operation of power supply needs to incorporate the load forecast for the optimal dispatch strategy. This paper proposes Model Predictive Control (MPC) of EMS to dispatch generation power in microgrid for minimum total operating cost. The load forecast is obtained by recurrent neural network for one day ahead. The efficiency and accuracy of load forecasting model affects the efficiency of dispatch algorithm of microgrid. The proposed algorithm is applied to a case study of Mae Hong Son (MHS) microgrid including battery energy storage system and power exchange with utility grid to satisfy load demand for both actual load and forecasted load profiles. We apply MPC to dispatch energy in normal operation and compare the total operating cost (TOC) with that of the previous EMS. It is found that the proposed MPC can significantly reduce TOC ranging from 25% to 45%.",
        "Classes": [
            "PE",
            "EE",
            "CPE",
            "IE"
        ]
    },
    "377": {
        "Title": "Agent scheduling of call center using decomposition technique",
        "Abstract": "\u00a9 2017 IEEE.This research studies an agent scheduling of a call center where the number of agents and skills are predetermined and varied during each period. Agents must be assigned into work shifts in order to minimize labor related cost and also satisfy working constraints such as worker availability, work duration and break requirements. We decompose this problem into two parts which are solved sequentially. First is to determine the minimum number of required agents for each shift across a month that covers the predetermined number of agents in each period. The outcomes from the first part are used as input for the second part which is to assign agents into work shifts. Mixed integer programming models are proposed to find solutions for both parts.",
        "Classes": [
            "IE",
            "MATH"
        ]
    },
    "378": {
        "Title": "Asphalt incorporation with ethylene vinyl acetate (Eva) copolymer and natural rubber (nr) thermoplastic vulcanizates (tpvs): Effects of tpv gel content on physical and rheological properties",
        "Abstract": "\u00a9 2021 by the authors. Licensee MDPI, Basel, Switzerland.Plastic waste has been incorporated with asphalt to improve the physical properties of asphalt and alleviate the increasing trend of plastic waste being introduced into the environment. However, plastic waste comes in different types such as thermoplastic or thermoset, which results in varied properties of polymer modified asphalt (PMA). In this work, four thermoplastic vulcanizates (TPVs) were prepared using different peroxide concentrations to produce four formulations of gel content (with varying extent of crosslinked part) in order to imitate the variation of plastic waste. All four TPVs were then mixed with asphalt at 5 wt% thus producing four formulations of PMA, which went through physical, rheological, and storage stability assessments. PMA with higher gel content possessed lower penetration and higher softening temperature, indicating physically harder appearance of PMA. Superpave parameters remained unchanged among different gel content PMA at temperatures of 64, 70, and 76\u25e6 C. PMA with any level of gel content had lower Brookfield viscosity than PMA without gel content at a temperature of 135\u25e6 C. Higher gel content resulted in shorter storage stability measured with greater different softening temperatures between top and bottom layers of PMA after 5 days of 163\u25e6 C storage. This study shows that asphalt with thermoset plastic waste is harder and easier to pave, thus making the non-recycling thermoset plastic waste more useful and friendly to the environment.",
        "Classes": [
            "CE",
            "CHE",
            "MATENG"
        ]
    },
    "379": {
        "Title": "Two-sided assembly line car sequencing with a fuzzy adaptive extended coincidence algorithm",
        "Abstract": "\u00a9 2019 Inderscience Enterprises Ltd.The car sequencing problem is a constraint satisfaction problem that has attracted the attention of academia and practitioners for many years now. In this paper, the industrial version of the car sequencing problem is extended to reflect more real operations in practice by using a two-sided assembly line instead of classical single-sided one. The fuzzy adaptive extended coincidence algorithm (COIN-F) is developed to optimise the multi-objective car sequencing problem in a Pareto sense. The relative performance of COIN-F is compared against COIN-E, NSGA-II and DPSO. Experimental results demonstrate the effectiveness of COIN-F over the contestant algorithms, especially in the search for the approximate true-Pareto frontier.",
        "Classes": [
            "ME",
            "MATH"
        ]
    },
    "380": {
        "Title": "A Study of Relation between Tool Wear and Dynamic Cutting Force Ratio in CNC Turning",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.Since tool wear directly affects the manufacturing cost in CNC turning process, the aim of this research is to study the effects of cutting conditions on tool wear and dynamic cutting force ratio. It also describes relation of tool wear and dynamic cutting force ratio. The results of experiment show that cutting speed is the most significantly influential factor followed by feed rate, depth of cut and nose radius respectively. In addition, effect of dynamic cutting force on the tool wear analysis show that trend of the dynamic cutting force is not changed even though the cutting condition is changed. Accordingly, the tool wear can be predicted by using the dynamic cutting force ratio in turning process.",
        "Classes": [
            "ME",
            "EDU",
            "MATSCI"
        ]
    },
    "381": {
        "Title": "Molecular cloning and comparative analysis of variable regions of monoclonal antibody against enrofloxacin clone 48",
        "Abstract": "\u00a9 2018 Association for Computing Machinery.Enrofloxacin is fluoroquinolone antibiotic which prohibited approved for treatment in animals. However, their residues in animal products can pose adverse side effects to consumer. Therefore, the maximum residue limit of these drugs has been enforced in many countries. In this study, the cDNA encoding VH and VL genes was amplified from monoclonal antibody which was specific to enrofloxacin clone 48, cloned and sequenced. The obtained sequences were compared in the NCBI databases by using blastp program. The results found that VH nucleotide was composed of about 399 bps and theirs deduced amino acids showed 80-85% degree identities to the Ig superfamily group. A totally 356 bps of VL nucleotide was found and showed the degree of identities of 97-100% with an immunoglobulin kappa light chain. Moreover, the CDR I, CDR II and CDR III of the VH and VL sequences were specified. The results indicated that the highest degree of VH sequence homology (highest relationship) found in accession no. B26471 with 80% homology. However, 100% of VL sequences were found similarly to accession no. AHJ10945.1 than the others. The obtained results provided the useful and important information for the further recombinant antibody construction and production against enrofloxacin antibiotic.",
        "Classes": [
            "BME",
            "EE",
            "CHE"
        ]
    },
    "382": {
        "Title": "Anti-Inflammatory Effects of Lychee (Litchi chinensis Sonn.) Seed Peptide Hydrolysate on RAW 264.7 Macrophage Cells",
        "Abstract": "\u00a9 2018, \u00a9 2018 Taylor & Francis.Lychee (Litchi chinensis) seeds, a by-product from the canned lychee processing, were hydrolyzed using various concentrations of proteases (Alcalase, Flavourzyme, and Neutrase). The protein hydrolysate produced with Neutrase at a concentration of 50 mg/mL exhibited the highest free radical scavenging activity. After ultrafiltration, the fraction containing peptides of less than 650 Da was purified by using gel filtration chromatography into G1\u2013G3. The G1 fraction exhibited the highest activity and was further purified by reversed phase high performance liquid chromatography (RP-HPLC). Four fractions (H1\u2013H4) were isolated and exhibited efficient nitric oxide (NO) scavenging activity. The G1 fraction inhibited NO production in lipopolysaccharide (LPS) stimulated RAW 264.7 cells with down-regulation of inducible nitric oxide synthase (iNOS) and interleukin-6 (IL-6). The results showed that lychee seed peptide hydrolysates exhibited potent anti-inflammatory activities, suggesting the peptides may be useful as additives to health products such as functional foods and/or pharmaceuticals.",
        "Classes": [
            "BME",
            "CHE"
        ]
    },
    "383": {
        "Title": "Multi-step Power Consumption Forecasting in Thailand Using Dual-Stage Attentional LSTM",
        "Abstract": "\u00a9 2019 IEEE.Our task is to forecast the next day's power consumption in the half-hour interval for a total of 48 intervals. There are many studies that proposed models for power consumption forecasting problems but most of the previously proposed techniques focus on impact from different time step to power consumption, the importance of different features was not considered in these works. The Dual-Stage Attention-Based Recurrent Neural Network (DA-RNN) is the state-of-the-art in time series forecasting that considers both varying impacts from different time features for one-step-ahead forecasting. On the contrary, our work focuses on multi-step-ahead forecasting. In this paper, we aim to apply Dual-Stage Attentional LSTM for a multi-step-ahead power consumption forecasting problem. Experiments were conducted on Thailand's power consumption data consisting of 5 control areas, weather data, and day type (weekday/weekend). We use RMSE and MAPE as evaluation metrics, the results showed that the Dual-Stage Attentional LSTM outperformed traditional models in both metrics.",
        "Classes": [
            "EE"
        ]
    },
    "384": {
        "Title": "Hierarchical Verification for the BPMN Design Model Using State Space Analysis",
        "Abstract": "\u00a9 2013 IEEE.The BPMN design models are widely used in the software development process. Owing to the lack of BPMN standard semantics, formal verification is used to validate whether the BPMN design model is free of undesirable properties. The primary challenges of BPMN design model verification are the enormous size and complexity of BPMN design models; these challenges may lead to time-consuming processes for model abstraction and overcoming the state space explosion problem. This paper proposes a hierarchical verification technique for the state space analysis based on a colored Petri net (CPN). A BPMN partitioning technique and rules for the transformation of a BPMN into a CPN model are provided. The partitioning approach supports the unstructured BPMN design model, and the obtained CPN model also supports hierarchical verification. To validate and analyze the BPMN design model, the transformation technique and state space generator are implemented as a BPMN verification framework. This method is a viable option for the software process designers and is suitable for the large-scale BPMN design model verification.",
        "Classes": [
            "CPE",
            "MATH"
        ]
    },
    "385": {
        "Title": "Composite membranes of graphene oxide for CO2/CH4 separation",
        "Abstract": "\u00a9 2019 Society of Chemical IndustryBACKGROUND: Biogas is an alternative renewable energy produced by anaerobic digestion of various organic wastes mainly from agriculture, households and biomass and food industries. Typically, raw biogas consists of 50\u201370% methane (CH4), 30\u201350% carbon dioxide (CO2), and small amounts of hydrogen sulfide (H2S) and water vapour. Purifying biogas by removing CO2 and other trace impurities is required in order to achieve higher calorific value, safe operation and to meet fuel standards. As CO2 is the second largest component of biogas, this study focused on its removal from CH4. RESULTS: Composite membranes of blended PEG 400/Pebax 1657 polymer and graphene oxide (GO) were developed for CO2/CH4 gas separation. The effects of GO loading and PEG 400 addition on CO2/CH4 separation performance were investigated. Optimal loadings of 0.25 wt% GO and 50 wt% PEG 400 obtained the best membrane performance with 12.4 GPU of CO2 permeance and 14 of CO2/CH4 separation factor. CONCLUSION: Incorporating GO to the polymer membrane enhanced CO2/CH4 separation, whereas PEG 400 addition increased CO2 permeance. The advantages from each component led to an enhancement of CO2 permeance and CO2/CH4 separation. \u00a9 2019 Society of Chemical Industry.",
        "Classes": [
            "PE",
            "NANO",
            "CHE"
        ]
    },
    "386": {
        "Title": "Improvement of product selectivity in bicarbonate reduction into formic acid on a tin-based catalyst by integrating nano-diamond particles",
        "Abstract": "\u00a9 2018 Institution of Chemical EngineersIn this study, the efficiency of electrochemical reduction of bicarbonate into formic acid was improved by using a composite electrode made up of tin (Sn), nanodiamond (ND) and carbon nanotube (CNT). In the absence of ND, a compositional ratio of 10/90 (Sn/CNT) demonstrated the highest current density. However, by adding ND in a compositional ratio of 10/90/100 (Sn/CNT/ND) the highest efficiency towards formate/formic acid was achieved. It was observed that the presence of ND enhanced the selectivity of product for formic acid. The effects of bicarbonate concentration and scan rate have also been studied to understand the reduction mechanism. The peak potential shifted towards larger negative values of applied potential with an increase in the scan rate from 0.01 to 0.1 V/s, confirming the irreversible nature of the reduction process. The linear relationship between the current and the square root of the scan rate (with a slope value of 0.519) suggested that the reaction process is fully diffusion-controlled. Formic acid was produced using both electrodes; however, the electrode containing nano-diamond successfully improved the process yield for formic acid. Electrochemical impedance study revealed a significant difference between Warburg coefficient for oxidation and reduction processes with values of 29.63 \u00d7 1012 and 67.4 \u03a9. S\u22120.5 for the applied potentials of 0.5 V and \u22120.4 V, respectively. This difference confirmed a low resistance at the electrode/electrolyte interface for the reduction potentials.",
        "Classes": [
            "PE",
            "METAL",
            "NANO",
            "CHE",
            "MATENG",
            "IE"
        ]
    },
    "387": {
        "Title": "Gasification of Furniture Waste Sawdust in a Cyclone Gasifier",
        "Abstract": "\u00a9 2018 Institute of Physics Publishing. All rights reserved.Sawdust is one of the major biomass that was produced over 1 million ton per year in Thailand. A large amount of sawdust can be used as renewable energy. Gasification is one of the high-efficiency processes to convert biomass to the gaseous product. Sawdust is suitable to be converted to the gaseous product due to its high proportion of volatile (73%). In this work, sawdust thermal conversion was investigated by using a stairmand type cyclone gasifier with 100 mm diameter. The operation of the cyclone with short residence time and high efficiency of particulate separation from the gaseous product is suitable for a small particle like sawdust. The influences of equivalence ratio (0.15-0.60) and reactor temperature (700\u00b0C , 800\u00b0C and 900\u00b0C ) on the waste conversion performance were determined. The gas composition (CO, CO2, CH4, H2, and CnHm), carbon and hydrogen conversions, lower heating value and cold gasification efficiency were reported. The data analysis indicated the optimum equivalence ratio is 0.45. Excessively lower or higher equivalence ratio negatively affected the gas composition and heating value of gaseous product. The optimum of reactor temperature is 900\u00b0C . The lower temperature also adversely affected the gaseous product, conversion of carbon and hydrogen. The lower heating value of product gas is range from 0.95-3.45 MJ/m3 and the cold gasification efficiency is range from 28-68%. The optimal condition of sawdust gasification in cyclone gasifier is equivalence ratio of 0.45 and temperature of 900\u00b0C at which total carbon and hydrogen conversionsare 90% and 60%, respectively.",
        "Classes": [
            "CHE"
        ]
    },
    "388": {
        "Title": "Improvement of Telematics Solution for Motor Insurance in Thailand by 5D Innovation Development Process",
        "Abstract": "\u00a9 2019 IEEE.An insurance company in Thailand developed telematics application since 2017, but the number of its users has declined in 2018. A customer survey showed a low level of customer satisfaction and adoption due to difficulty in its usage and low perception of usefulness. Thus, this paper aims to explore the customer requirements and provide the improved version of the telematics application by using the 5D innovation development process (Discover, Define, Design, Develop, and Deploy). In the Discover Phase, the technology acceptance model (TAM) survey and a satisfaction questionnaire regarding hidden customer requirements were conducted. The project charter was used to define and summarize the steps of the management scope and the project timeframe. Quality Function Deployment (QFD) and TAM were adapted in the Design Phase, and then all concepts were developed and improved by Pugh Matrix, Weighted Sum Score and customer expectations were translated into product specifications. The Develop Process was to create the prototype demo of the application in order to verify the developing guideline before scaling up. Finally, the feedback from the testing users ensured the effective commercialization of the new version of the telematics application in the Deploy Phase. The newly developed telematics application shows a higher level of customer satisfaction from 3.01 to 4.05. Moreover, the perceived usefulness, perceived ease of use, attitude toward using, and intention to use increased by around 7.27%, 4.62%, 0.43%, 35.09%, respectively. The implication of this research was guidance impediments to overcome user satisfaction and adoption improvement of the Telematics application.",
        "Classes": [
            "CPE",
            "IE"
        ]
    },
    "389": {
        "Title": "Bond properties between carbon fibre-reinforced polymer plate and fire-damaged concrete",
        "Abstract": "\u00a9 2019 Elsevier LtdIn this research, a single-shear test was conducted to investigate the bond properties between carbon fibre-reinforced polymer (CFRP) plates and fire-damaged concrete prisms. The investigation focused on the effects of fire exposure condition and the presence of internal steel reinforcements on the effective bond length, failure mode, bond strength (maximum joint load) and interfacial fracture energy. After being air-cooled, the concrete prisms were adhesively bonded with CFRP strips of different lengths, and then quasi-static tested at the ambient condition. The pull-off test results showed that the tensile strength of concrete substrate decreased after being exposed to elevated temperatures. Such deterioration of concrete substrate caused an increase in the effective bond length. It also decreased the bond strength and interfacial fracture energy. The steel reinforcements in concrete structures are beneficial as they minimize the effect of fire exposure on bond strength and effective bond length. An application of the fracture mechanics-based model for strength prediction of bond between fire-damaged concrete and the CFRP plate is proposed. A linear relationship between interfacial fracture energy and pull-off tensile strength of concrete could be assumed for the unreinforced concrete.",
        "Classes": [
            "CE",
            "METAL",
            "OPTIC",
            "CHE",
            "MATENG",
            "SAFETY",
            "MATSCI"
        ]
    },
    "390": {
        "Title": "Information embedding in 3D printed objects using metal-infused PLA and reading with thermography",
        "Abstract": "\u00a9 2018 Society for Imaging Science and Technology.Digital fabrication has the potential to innovate manufacturing and logistics in the near future. An attempt to increase the value of real fabricated objects by embedding information and including copyright protection is often proposed. We present a new technique for embedding information using metal fused materials (Copper powder-infused PLA) to form a fine structure inside the 3D printed objects. Then, information can be detected nondestructively by thermography. Our experiment proved that a binary code array of metal-infused material can be successfully printed and embedded inside a sample of fabricated 3D based objects (ABS). In the thermal image, the implanted structure areas were clearly observed with temperature conditions different from the surroundings. We also studied the factors that influence the quality of readouts, such as how deeply infused-metal is embedded from the surface, the colors of the filament substances, and the clearance of the image binary code compared to previous methods. The best condition was embedding metal-infused material 1 mm deep from the surface. Moreover, the color of the printing filament had no effect on the quality of the read-out information. These results mean that we can increase the value added to various kinds of objects fabricated with 3D printers more conveniently.",
        "Classes": [
            "METAL",
            "CPE",
            "OPTIC",
            "EDU"
        ]
    },
    "391": {
        "Title": "Very Short-Term Solar Power Forecasting Using Genetic Algorithm Based Deep Neural Network",
        "Abstract": "\u00a9 2019 IEEE.This paper presents a method for finding optimal parameters of a deep learning model by Genetic Algorithm (GA). The model is employed to forecast output of a solar farm 4 hours in advance. Its inputs are from both forecasted weather data and data obtained from weather monitoring instrument. Performance of four NN (Neural Network) types: DNN (Deep Neural Network), LSTM (Long Short-Term Memory), GRU (Gated Recurrent Unit), and CuDNNGRU (Cuda Deep Neural Network Gated Recurrent Unit), is compared. Feature engineering by Exponential Moving Average (EMA) finds that a time-series of irradiance helps to improve the model performance. GA is exploited to find the most appropriate the number of lookback (or the window size), and the number of neurons in each and all three hidden layers. The GRU model yields the least RMSE at 7.83%. However, if the training time is to be considered, the CuDNNGRU model yields slightly higher RMSE at 7.87%, but its training time is less than half of that of the GRU.",
        "Classes": [
            "ENV"
        ]
    },
    "392": {
        "Title": "Design of State Feedback Traffic Control Using Hierarchical Distributed Control Framework",
        "Abstract": "\u00a9 2019 IEEE.The paper concerns with the traffic congestion problem which degrades the urban traffic sustainable development. We design the state feedback traffic controller based on an optimization method and the hierarchical structure in heterogeneous multi-agent systems. The objective is to mitigate the number of vehicles waiting and maintain the traffic flow to the global objective. Finally, a numerical example demonstrates that the proposed control method improves the traffic flow over the fixed schedule of traffic control.",
        "Classes": [
            "CPE",
            "MATH"
        ]
    },
    "393": {
        "Title": "Application of Sensor Technology for Warning Unsafe Conditions from Moving Objects above Construction Workers",
        "Abstract": "\u00a9 2018 IEEE.Moving objects above construction workers is one of the major causations of accidents at construction sites. The dynamic and complex nature of construction sites can lead to the above unsafe conditions. However, previous research has developed sensor system for detecting the accident which can only be applied to crane prototype in laboratory. The objective of this research is to develop a sensor warning system (SW system) for warning construction workers from unsafe conditions. This study focuses on a lifting operation of the tower crane. The SW system is developed based on the Internet of Things (IoT) concept, GPS sensor, and server. In this paper, the pilot test was conducted on testing GPS devices which could lead to determine the distance error and calibrate the system. As a result, the average of distance error was 1.96 meters for calibrating the system. Further study will continue to develop the full-scale system which can be applied to construction site.",
        "Classes": [
            "CPE",
            "EDU",
            "SAFETY"
        ]
    },
    "394": {
        "Title": "Heuristic Based Scheduling for Toothpaste Filling Problem",
        "Abstract": "\u00a9 2019 IOP Publishing Ltd. All rights reserved.This research focuses on the development of a heuristic method for the Toothpaste Filling Problem (TFP) whose complication lies on a vast variety of products (formulae and sizes), together with specific restrictions on filling machines and storage tanks. More specifically, filling machines are non-identical, each of which has different speeds and capacities for filling toothpaste of various sizes. As unloading requires storage tanks, each with much larger capacity when compared to one particular production order, a tank will be then matched with several production orders and be repositioned among filling machines to avoid unnecessary changeovers. We solve the TFP by means of a two-phase method, where the initial solution is constructed by an Earliest Due Date (EDD) dispatching rule. Once completed, the initial solution is then iteratively improved by a series of improvement operators, mimicking the concept of Variable Neighbourhood Search (VNS), until no improvement could be found. We test our heuristic on a set of sample instances acquired from one of the biggest consumer products manufacturers in Thailand. Impressively, when compared to the current practice, our proposed heuristic could help reduce makespan by 32% on average, or equivalently an annual saving of $0.6 million, mainly from the reduction on overtime payment and changeovers.",
        "Classes": [
            "METAL",
            "ME",
            "MATH"
        ]
    },
    "395": {
        "Title": "Observation of increased dispersion of pt and mobility of oxygen in Pt/\u03b3-Al2O3 catalyst with la modification in CO oxidation",
        "Abstract": "Copyright \u00a9 2019 BCREC Group. All rights reserved.The study focuses on an improvement of the catalytic activity via CO oxidation for Pt/\u03b3-Al2O3 catalyst by addition of La onto the support prior to impregnation with Pt metals. The molar ratios of La/Al were varied from 0.01 to 0.15. Based on temperature-programmed desorption (TPD) of CO2, La addition ap-parently resulted in increased basicity of the catalysts, which is related to increasing of oxygen mobili-ty. However, when considered the Pt dispersion measured by CO chemisorption, it was found that Pt dispersion also increased with increasing the amount of La addition up to La/Al = 0.05. It is suggested that too high amount of La addition can inhibit the dispersion Pt due to surface coverage of La. It is worth noting that the catalytic activity toward CO oxidation essentially depends on both Pt dispersion and oxygen mobility and they can be superimposed on each other. Based on this study, the Pt/?-Al2O3 catalyst with La addition of La/Al molar ratio = 0.05 showed the highest activity due to its optimal Pt dispersion and oxygen mobility leading to its highest value of turnover frequency (TOF).",
        "Classes": [
            "METAL",
            "CHE",
            "MATSCI"
        ]
    },
    "396": {
        "Title": "Quantitative analysis of calcium carbonate formation in magnetized water",
        "Abstract": "\u00a9 2020 Elsevier B.V.This research studies the influence of static magnetic fields on the structure of calcium carbonate (CaCO3) crystals. Experiments were conducted by exposing Ca2+ and CO3 2\u2212 solutions to magnetic fields. The solutions were then combined to form CaCO3 particles. Three characteristics of CaCO3 formation reaction have been investigated, namely absorbance differentiation, vibrational modes and crystal structure. Absorbances were measured using ultraviolet\u2013visible spectrophotometer, while vibrational modes were measured using Flourier transform (FT) infrared and FT Raman spectroscopies. X-ray diffractometer was used to determine the crystal structure. Experimental results show that the nucleation of CaCO3 crystals was inhibited when starting solutions were exposed to magnetic fields. The effect of magnetic fields was mainly attributed to CO3 2\u2212 solution and remained for more than 144 h after starting solutions were combined. As various magnetic field strengths were applied to the solutions, aragonite was formed, and aragonite/calcite ratios were proportional to magnetic field strengths. Using the X-ray technique, the measured crystal structure indicated that the aragonite/calcite ratio increased from 10 to 82% when the magnetic field strength was increased from 60 to 460 mT for the duration of 8 min.",
        "Classes": [
            "PE",
            "EE",
            "CHE",
            "MATSCI"
        ]
    },
    "397": {
        "Title": "The design of sphere-gap test chamber using finite element method",
        "Abstract": "\u00a9 2018 IEEEThis paper investigates the effect of an enclosed chamber on the electric field distribution of standard sphere-gap by using Finite Element Method (FEM). The chamber will be used to control the atmospheric condition around the 10 cm diameter sphere-gap in a vertical arrangement. The geometry of the simulation model followed the vertical sphere-gap of the standard IEC60052, by taking into account clearance limits of spheres. The mesh size and the boundary size of the simulation model are chosen by considering both simulation accuracy and time. The maximum electric field between the model of sphere-gap with and without the chamber are recorded and compared. The results show that the chamber with metal cover has a strong effect on the maximum electric field, Emax, of the sphere-gap, while the chamber with insulation cover has an acceptable deviation of Emax.",
        "Classes": [
            "EE",
            "MATH"
        ]
    },
    "398": {
        "Title": "Influence of rice husk ash on mechanical properties and fire resistance of recycled aggregate high-calcium fly ash geopolymer concrete",
        "Abstract": "\u00a9 2019 Elsevier LtdThe use of recycled aggregates in geopolymer concrete provides an eco-friendly alternative for the construction industry. Since geopolymer concretes made with recycled aggregates generally have weaker internal structure compared with those using natural aggregates, SiO2-rich materials have therefore been used to improve the strength properties, one of which is the well-known nano-SiO2 (nS). However, because nS is not environmental friendly, other green SiO2-rich materials, such as rice husk ash (RHA) from agricultural wastes, are needed. The objective of this study is to investigate the effectiveness of replacing nano-SiO2 with rich husk ash for improving the performance of recycled aggregate geopolymer concrete (RAGC) made from high-calcium fly ash that is able to set and harden without heat curing. The mechanical properties and fire-resistant performance of RHA-added and nS-added geopolymer concretes were tested and compared. The results show that the addition of RHA is effective in improving the strengths of RAGCs, particularly when the SiO2/Al2O3 ratio is increased to 4.17. The 28-day compressive strengths of RAGCs containing RHAs ranged from 36.0 to 38.1 MPa due to the improved microstructure and denser matrix and were comparable to those of RAGCs made with nS. However, the inclusion of SiO2-rich materials had an adverse effect on the post-fire residual strength of geopolymer concretes made from recycled aggregates due primarily to the reduced porosity.",
        "Classes": [
            "CE",
            "ENV",
            "METAL",
            "MATENG",
            "AGRI",
            "SAFETY"
        ]
    },
    "399": {
        "Title": "Comparison of diaphragm wall movement prediction and field performance for different construction techniques",
        "Abstract": "\u00a9 2019 Tongji University and Tongji University PressThe demand for deep excavation for basement construction is growing rapidly in Bangkok due to the limited availability of land. Recently, the maximum depth of excavation has increased up to approximately \u221225 m. Deep excavation in Bangkok subsoils requires consideration of the soil conditions and the real piezometric level of ground water. In general, Bangkok subsoil consists of 13~16 m of thick, dark grey soft-to-medium clay, followed by stiff, silty clay, before the first sand layer at 21~30 m. The piezometric level of ground water has risen to \u221213 m from its previous level of \u221223 m due to the control of deep well pumping for twenty years by the Thai Government. A diaphragm wall is normally used as a soil retaining structure. The behavior and performance of a diaphragm wall is usually predicted by the finite element method (FEM) using Mohr\u2013Coulomb soil modeling as failure criteria, with the soil modulus parameters for soft and stiff Bangkok clay from the self-boring pressuremeter test. This paper presents a comparison between the diaphragm wall movements from FEM analysis predictions and field measurements for two projects, the new Bank of Thailand head office and the Rosewood Hotel, which were constructed with different techniques. The predicted movement agreed well with the field measurements.",
        "Classes": [
            "CE",
            "ENV",
            "PE",
            "ME",
            "MATH"
        ]
    },
    "400": {
        "Title": "Molecular beam epitaxial growth of interdigitated quantum dots for heterojunction solar cells",
        "Abstract": "\u00a9 2019 Elsevier B.V.Interdigitated quantum dots, which are multiple stacks of type-I InAs/GaAs quantum dots and type-II GaSb/GaAs quantum dots, are grown using molecular beam epitaxy. By incorporating the interdigitated quantum dots into a p-i-n AlGaAs/GaAs heterojunction solar cell structure, we demonstrate a photovoltaic effect with a 20.6% improvement in open-circuit voltage, when compared to that of another cell incorporating the same quantum dots but with a p-i-n GaAs homojunction architecture. A transmission electron microscopy is performed to analyze strain-induced defects created in the multi-stack quantum dot structures. The heterojunction solar cell incorporating the interdigitated quantum dots realized in this work would find potential applications in high-efficiency single-junction intermediate band solar cells operating under concentrated sunlight.",
        "Classes": [
            "ME",
            "EE",
            "OPTIC",
            "NANO",
            "CHE",
            "MATSCI"
        ]
    },
    "401": {
        "Title": "Impacts of Coastal Development on the Shoreline Change of the Eastern Gulf of Thailand",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.The Map Ta Phut (MTP) Port has been developed on the middle portion of the Rayong Bay, Thailand, since 1992. After the expansion of the port completed in 2002, the port has an approximately 3.5 km wide and extending 4.0 km seaward. This paper provides the assessment of the construction of the MTP Port project on the shoreline of the Rayong Bay. Historical shoreline positions were extracted from aerial photography and satellite imagery taken between 1957 and 2016 using ArcGIS version 10.4. The rates of shoreline changes pre- and post-port development were implemented using the Digital Shoreline Analysis System (DSAS). Results indicate that the Rayong Bay shoreline mostly was in dynamic equilibrium with an average rate of less than 0.5 m/y prior the construction of the MTP port. After the completion of the port, a significant shoreline accretion has continuously been found along the shoreline of about 500 m adjacent to both sides of the port. Meanwhile, the Rayong Bay shoreline had been eroded about 28 % of the total shoreline after the port completed in 1992 and increased to 30% after the port expansion in 2002. Coastal protection structures included seawalls, segment breakwater, Y-shaped groins, and jetty were applied along the receded shore. Most of those structures have successfully stabilized the shoreline, and the Rayong Bay has likely reached a new dynamic equilibrium since 2011.",
        "Classes": [
            "CE",
            "OPTIC"
        ]
    },
    "402": {
        "Title": "Dichlorocarbene modified butadiene rubber (DCBR): Preparation, kinetic study, and its properties in natural rubber/DCBR blend vulcanizates",
        "Abstract": "Copyright \u00a9 2017 John Wiley & Sons, Ltd.Dichlorocarbene modified butadiene rubber (DCBR) was prepared via the addition of the dichlorocarbene group in the presence of 2 phase transfer agents (cetyltrimethylammonium bromide and tetraethylammonium chloride). The effects of the reaction temperature and time, amount of dichlorocarbene precursor, and the type and amount of phase transfer agent on the chlorine content were investigated. The highest chlorine content (30%) in DCBR was obtained using 0.062 mol chloroform and 0.003 mol cetyltrimethylammonium bromide at room temperature for 19 hours although 27.9% was obtained after 12 hours. The kinetics of this dichlorocarbene modification was best described by the pseudo\u2013first order rate law with 2 rate constants. For practical applications, the DCBR with chlorine contents of 10%, 20%, or 30% were blended with natural rubber (NR) and then vulcanized using the sulfur-curing system. Although the polarity of DCBR was increased, a good compatibility between NR and DCBR still existed, resulting in improved mechanical properties. The oil resistance, flame retardant, and ozone resistance properties of the NR/DCBR blend vulcanizates were enhanced compared to those of a NR/butadiene rubber blend vulcanizate, which was related to the amount of chlorine incorporated into the DCBR.",
        "Classes": [
            "ME",
            "CHE",
            "MATENG",
            "SAFETY",
            "MATSCI"
        ]
    },
    "403": {
        "Title": "Assessment of shear resistance of corroded beams repaired using SFRC in the tension zone",
        "Abstract": "Copyright \u00a9 2021 Techno-Press, Ltd.This study experimentally and analytically investigates the shear behavior of corroded reinforced concrete (RC) beams repaired using steel fiber-reinforced concrete (SFRC) in the flexural zone. The experimental parameters are the corrosion degree (0%, 12%, and 17%) and the steel fiber volume in the SFRC (1.0%, 1.5%, and 2.0%). The test results reveal that corrosion degree significantly affects the shear resistance of the beams. The shear capacity of the beam with the corrosion degree of 17% was higher than that of the uncorroded beam, whereas the shear capacity of the beam with the corrosion degree of 12% was lower than that of the uncorroded beam. The shear efficiency of damaged beams can be recovered by repairing them using SFRC that contains a reasonable amount of steel fibers. In addition, two methods to estimate the shear capacity of the repaired beams are developed using the modified truss analogy and strut-and-tie models. The estimated shear capacity of the beam using the modified truss analogy model agrees well with the experimental data.",
        "Classes": [
            "CE",
            "METAL",
            "MATENG",
            "IE"
        ]
    },
    "404": {
        "Title": "Chromatographic modeling of free lutein derived from marigold flowers",
        "Abstract": "\u00a9 2019, \u00a9 2019 Taylor & Francis Group, LLC.In this study, mass transfer of free lutein derived from marigold in a chromatographic process was mathematically modeled. The required model parameters were first determined. The adsorption isotherm was determined from experimental adsorption study using batch method, while the overall mass transfer and axial dispersion coefficients were determined from appropriate empirical equations. The adsorption isotherm was found to be Langmuir and was applied to three mathematical models: ideal model, equilibrium\u2013dispersive model, and transport model. From the results, the transport model was able to the most reasonably describe the mass transfer behavior of free lutein in both linear and nonlinear ranges of concentration. The optimum mobile phase velocity, determined numerically, was 0.16 cm/s.",
        "Classes": [
            "ME",
            "CHE"
        ]
    },
    "405": {
        "Title": "Green diesel production through simultaneous deoxygenation of palmitic acid and desulfurization of 4,6-Dimethyl-dibenzothiophene over commercial CoMo/Al2O3",
        "Abstract": "\u00a9 2018 BRTeam.This study investigated the deoxygenation of palmitic acid as a model compound of palm fatty acid distillate (PFAD), in the presence of 4,6- di-methyl-di-benzothiophene as a sulfur-containing light gas oil (LGO). Reactions were performed at the pressure of 25 barg, liquid hourly space velocity (LHSV) of 1.7 h-1, and H2/oil of 630 NL/L over CoMo/Al2O3 as catalyst. The effect of temperature was studied in the range of 275-300 \u00b0C. Both deoxygenation and desulfurization led to approximately 100% conversions at 300 \u00b0C, while at 275 \u00b0C, palmitic acid deoxygenation was recorded at a higher conversion rate compared with that of the desulfurization of 4,6- di-methyl-di-benzothiophene. The presence of 4,6- di-methyl-di-benzothiophene during the deoxygenation of palmitic acid resulted in high conversions (>95%). Pressure drop studies showed that the formation of heavy products caused a gradual pressure drop throughout the reactor over time. The catalyst was deactivated during 10 d. Two different sulfur-containing reagents were used for catalyst reactivation including dimethyl-disulfide in n-C18 and LGO containing 484 ppmw of sulfur. Reactivation with 2 wt.% of dimethyl-disulfide in n-C18 at 320 \u00b0C for 36 h led to more favrable performance recovery vs. the sulfur-containing LGO.",
        "Classes": [
            "ME",
            "CHE"
        ]
    },
    "406": {
        "Title": "Application of static network reconfiguration to minimize power consumption from grid for photovoltaic systems",
        "Abstract": "\u00a9 2019 IOP Publishing Ltd. All rights reserved.Photovoltaic (PV) is one of the distributed generation growing worldwide, a proper method to increase the hosting capacity of PV with low cost is becoming an interesting topic. This paper researched how the total grid purchase of power systems can be decreased by applying static network reconfiguration. The problem is formulated as a load flow which aims to minimize the total grid purchase under thermal and voltage constraints. The effectiveness of the approach and the significant benefits obtained by static reconfiguration options in term of total grid purchase are demonstrated using a modified benchmark distribution system. It was found that applying static network reconfiguration to this specific test system with two PVs gave minimum power consumption from grid.",
        "Classes": [
            "EE"
        ]
    },
    "407": {
        "Title": "Analyzing Suicide and Contributing Factors in Thailand Using Classification by Logistic Regression, Decision Tree and Support Vector Machine",
        "Abstract": "\u00a9 2023 IEEE.The World Health Organization (WHO) reports that over 700,000 people die from suicide each year, with the number of attempts far exceeding that. Suicide is also the fourth leading cause of death among teenagers [1]. The suicide rate in Thailand follows a similar trend. This research aims to utilize machine learning techniques to identify cases that lead to suicide deaths and to study the contributing factors, both internal and external. Specifically, this paper proposes using classification methods to create a prediction model from people's demography, behaviors, and other factors in order to analyze features that influence the risk of suicide deaths. Classification techniques employed include Logistic Regression, Decision Tree, and Support Vector Machine. We have analyzed the data gathered by Thailand National Suicide Prevention Department from January 2018 to September 2021, which includes 49,417 suicidal cases, 30% of which resulted in fatalities. Two models are proposed: a general model to identify significant factors leading to suicide deaths and a practical model to predict suicide deaths given only available factors in practice.",
        "Classes": [
            "MATH"
        ]
    },
    "408": {
        "Title": "Robust Compression Technique for YOLOv3 on Real-Time Vehicle Detection",
        "Abstract": "\u00a9 2019 IEEE.For vehicle detection, YOLOv3 has shown promising accuracy. Since the number of parameters in this network can be more than ten million parameters, it cannot be fit into a commodity camera. In this paper, we propose a compression mechanism designed specifically for YOLOv 3's network by removing unnecessary filters. Since YOLOv3 composes of two network components: backbone and pyramid networks, we propose a robust pruning mechanism to prune filters of each network separately. This can help to avoid over-pruning the network in some part of the model making our model more robust. There are two main pruning criteria investigated: Average Percentage of Zero (APoZ) and Sum Magnitude Weight. The experiment was conducted on UA-DETRAC. The results show that our compression mechanism with APoZ criterion can reduce more than 90% of the network size, while the accuracy is even higher than the full model for about 2%.",
        "Classes": [
            "CPE"
        ]
    },
    "409": {
        "Title": "Comparison of UML sequence diagrams to trace technical specification change",
        "Abstract": "\u00a9 Springer Science+Business Media Singapore 2018.Sequence diagrams are widely used to model the interactions between objects in an information system. This paper presents a method and develops a tool for comparing UML sequence diagrams to facilitate tracing the technical specification change. The change log is generated to report all the affected elements. The traceability graph associated with the new version of sequence diagram is also constructed to illustrate the updated dependency among components. The proposed automation approach would benefit software process improvement for change impact analysis. In addition, the output generated from the implemented system could fasten the tedious documentation chore.",
        "Classes": [
            "CPE",
            "EDU",
            "IE"
        ]
    },
    "410": {
        "Title": "Operational Efficiency Improvement of Ply Cutting Machine for Aircraft Tires",
        "Abstract": "\u00a9 2019 Published under licence by IOP Publishing Ltd.This research focuses on the operational efficiency improvement of ply cutting machines for aircraft tires by implementing the design of experiments (DOE) and Single Minute Exchange of Die (SMED) methods to decrease loss time caused by machine stoppages found at let-off and splicer processes. The problem comes from high loss time because the system's parameters are not set properly and high setup time of the machine. Therefore, the operations efficiency improvement has been conducted by setting a suitable flow rate at the splicer and changing activities of the operator in order to reduce waiting time. Improved efficiency is implemented in the Ply cutting machine from July 2018 to August 2018. The result shows the increase in the average production from 23 rolls/shift to 28 rolls/shift. Furthermore, a cost saving for efficiency improvement is equal to 36M baht per year.",
        "Classes": [
            "EDU",
            "IE"
        ]
    },
    "411": {
        "Title": "Monitoring of Surface Roughness in Aluminium Turning Process",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.As the turning process is one of the most necessary process. The surface roughness has been considered for the quality of workpiece. There are many factors which affect the surface roughness. Hence, the objective of this research is to monitor the relation between the surface roughness and the cutting forces in aluminium turning process with a wide range of cutting conditions. The coated carbide tool and aluminium alloy (Al 6063) are used for this experiment. The cutting parameters are investigated to analyze the effects of them on the surface roughness which are the cutting speed, the feed rate, the tool nose radius and the depth of cut. In the case of this research, the dynamometer is installed in the turret of CNC turning machine to generate a signal while turning. The relation between dynamic cutting forces and the surface roughness profile is examined by applying the Fast Fourier Transform (FFT). The experimentally obtained results showed that the cutting force depends on the cutting condition. The surface roughness can be improved when increasing the cutting speed and the tool nose radius in contrast to the feed rate and the depth of cut. The relation between the cutting parameters and the surface roughness can be explained by the in-process cutting forces. It is understood that the in-process cutting forces are able to predict the surface roughness in the further research.",
        "Classes": [
            "METAL",
            "ME",
            "MATENG",
            "MATH",
            "MATSCI"
        ]
    },
    "412": {
        "Title": "Investigation of leukocyte viability and damage in spiral microchannel and contraction-expansion array",
        "Abstract": "\u00a9 2019 by the authors.Inertial separation techniques in a microfluidic system have been widely employed in the field of medical diagnosis for a long time. Despite no requirement of external forces, it requires strong hydrodynamic forces that could potentially cause cell damage or loss during the separation process. This might lead to the wrong interpretation of laboratory results since the change of structures and functional characteristics of cells due to the hydrodynamic forces that occur are not taken into account. Therefore, it is important to investigate the cell viability and damage along with the separation efficacy of the device in the design process. In this study, two inertial separation techniques-spiral microchannel and contraction-expansion array (CEA)-were examined to evaluate cell viability, morphology and intracellular structures using a trypan blue assay (TB), Scanning Electron Microscopy (SEM) and Wright-Giemsa stain. We discovered that cell loss was not significantly found in a feeding system, i.e., syringe, needle and tube, but mostly occurred in the inertial separation devices while the change of cell morphology and intracellular structures were found in the feeding system and inertial separation devices. Furthermore, percentage of cell loss was not significant in both devices (7-10%). However, the change of cell morphology was considerably increased (30%) in spiral microchannel (shear stress dominated) rather than in CEA (12%). In contrast, the disruption of intracellular structures was increased (14%) in CEA (extensional and shear stress dominated equally) rather than spiral microchannel (2%). In these experiments, leukocytes of canine were used as samples because their sizes are varied in a range between 7-12 \u03bcm, and they are commonly used as a biomarker in many clinical and medical applications.",
        "Classes": [
            "BME",
            "ME",
            "CHE",
            "MATSCI"
        ]
    },
    "413": {
        "Title": "New design equation for undrained pullout capacity of suction caissons considering combined effects of caisson aspect ratio, adhesion factor at interface, and linearly increasing strength",
        "Abstract": "\u00a9 2018 Elsevier LtdUndrained pullout capacity of suction caisson in clays with homogeneous and linearly increasing strengths with depth was investigated by two-dimensional axisymmetric finite element analysis. Effects of the caisson aspect ratios, the complete range of adhesion factors at soil-caisson interface, and the full range of dimensionless strength gradients on the dimensionless pullout factor of suction caissons were comprehensively examined. Based on a nonlinear regression to the derived finite element solutions, a new design equation of the undrained pullout capacity of suction caissons was proposed, considering the practical ranges of caisson aspect ratios, the complete range of adhesion factors at soil-caisson interface, and a general profile of both homogeneous and linearly increasing strengths with depth. The proposed equation was validated through a comparison of existing solutions and published experimental data.",
        "Classes": [
            "CE",
            "PE",
            "ME",
            "MATH",
            "MATSCI"
        ]
    },
    "414": {
        "Title": "Forecasting of incoming calls in a commercial bank service call center",
        "Abstract": "\u00a9 2018 Association for Computing Machinery.In this study, we develop forecast models for incoming calls at a call center of a commercial bank in Thailand. We found that incoming calls are non-stationary. Normally, the number of calls is low during holiday and high during the beginning and ending of each month. Various time series models are applied for monthly forecast and an algorithm based on seasonal pattern is proposed for daily forecast. MAPE (Mean Absolute Percentage Error) and RMSE (Root Mean Square Error) are used for comparing the proposed methodology and the current model that the bank uses. The results show that the proposed methodology is better than the current model. MAPE reduces from 9.79% to 8.12% and RMSE reduces from 960.37 to 861.88.",
        "Classes": [
            "MATH"
        ]
    },
    "415": {
        "Title": "Deep Convolutional Neural Network with Edge Feature for Image Denoising",
        "Abstract": "\u00a9 2020, Springer Nature Switzerland AG.Image denoising is a classical challenge in computer vision and has attracted a large amount of research in the past few decades in attempts to find new approaches to denoise various types of images. The endeavors have been even more striking with the recent inception of deep learning. Deep learning has a well-known strength in its accuracy and effectiveness but with the main drawback of very long converging time during deep learning network training. Moreover, current state-of-the-art denoising techniques still lack the edge feature, one of the crucial attributes for sharp images. Therefore, in this paper, we propose a novel Deep Convolutional neural network with Edge Feature (DCEF) for denoising Additive White Gaussian Noise (AWGN). However, as the deep learning model training takes too much time to converge, we also propose an adaptive learning rate using a triangle technique that allows much faster converging time comparing to state-of-the-art approaches. Our DCEF demonstrates that it outperforms existing state-of-the-art approaches in terms of average PSNR scores in = 15 and 25 by 0.2 and 0.3, respectively, while achieving high MS-SSIM scores and using much fewer iterations to converge.",
        "Classes": [
            "EE"
        ]
    },
    "416": {
        "Title": "Performance assessment of a hybrid solid oxide and molten carbonate fuel cell system with compressed air energy storage under different power demands",
        "Abstract": "\u00a9 2019 Hydrogen Energy Publications LLCAs electricity demand can vary considerably and unpredictably, it is necessary to integrate energy storage with power generation systems. This study investigates a solid oxide and molten carbonate fuel cell system integrated with a gas turbine (GT) for power generation. The advanced adiabatic compressed air energy storage (AA-CAES) system is designed to enhance the system flexibility. Simulations of the proposed power system are performed to demonstrate the amount of power that can supply to the loads during normal and peak modes of operation under steady-state conditions. The pressure ratios of the GT and AA-CAES and the additional air feed are used to design the system and analyze the system performance. The results show that a small additional air feed to the GT is certainly required for the hybrid system. The GT pressure ratio of 2 provides a maximum benefit. The AA-CAES pressure ratio of 5 is recommended to spare some air in the storage and minimize storage volume. Moreover, implementation of the GT and AA-CAES into the integrated fuel cell system allows the system to cope with the variations in power demand.",
        "Classes": [
            "PE",
            "ME",
            "EE",
            "CHE",
            "MATH"
        ]
    },
    "417": {
        "Title": "Effects of types of isocyanate and polyol on thermal and mechanical properties of benzoxazine-urethane polymer alloys",
        "Abstract": "\u00a9 2019 IOP Publishing Ltd. All rights reserved.Polymer alloys of benzoxazine resin (BA-a) and urethane prepolymer (PU) were prepared at various BA-a : PU mass ratios (100 : 0, 80 : 20, 70 : 30 and 60 : 40) via sequential cure method. Isocyanate end capped urethane prepolymer was synthesized with isocyanates and polyols. Various types of isocyanate groups were used [i.e., TDI, MDI, IPDI and HDI] in this study. Polypropylene glycol and Poly(ethylene, diethylene adipate) glycol represent polyether polyol (E) and polyester polyol (S), respectively. Experimental results revealed that glass transition temperature (Tg), flexural strength and flexural modulus increase with decreasing PU content. Furthermore, the flexural strength and flexural modulus synergism were found in the BA-a:PU based polyester polyol at all mass ratio.",
        "Classes": [
            "CHE",
            "MATENG"
        ]
    },
    "418": {
        "Title": "Vibrational Analysis on Patellofemoral Joint Degradation of Swine's Knee",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.Knee's severe patellofemoral joint degeneration gives a lot of people difficulty to endure daily life because walking or any leg movement can cause serious pain. At present, physical examination, x-ray and MRI are often used to diagnose the condition; however, each of the methods has its own disadvantages. For instance, physical examination is highly dependent on the skill of the doctor who practiced the examination, which cannot avoid misdiagnosing the condition. X-ray can detect wounds and tears, but the accuracy is also not top-notch since the result of an x-ray is a 2-dimension picture. MRI is the most reliable method for diagnosing the condition; however, the cost is very high. We propose that other than x-ray and MRI, patellofemoral joint degeneration can be identified by analyzing vibrational signals obtained from an accelerometer attached to the patella while sitting and moving the leg up and down. At the beginning of the study, swine's knees are used to imitate human's knee. Swine's knees with various surface degradation levels are put on a machine that mimics the mechanism of knee motion. An accelerometer is mounted on the patella of the swine's knee while the machine is running to measure the friction and roughness induced vibration of the patella. The vibration results suggest that more surface degradation the higher vibration signal amplitude. Nevertheless, the method still needs a lot more improvement on the database and testing procedures, in order to make it accurate, dependable and affordable. Hence, with further analysis on patient's knees it is highly possible to determine whether patient's knee is degraded or not and at what degradation level.",
        "Classes": [
            "BME",
            "MATSCI"
        ]
    },
    "419": {
        "Title": "Applying deep learning in word embedding for making a diagnosis prediction model from orthopedic clinical note",
        "Abstract": "\u00a9 2019 Association for Computing Machinery.We propose deep learning in word embedding for making a diagnostic prediction model. One factor that causes uncertainties in diagnostic is the inexperience of physicians. The diagnosis errors lead to incorrect and delay in treatment, waste of time and money. To solve the problem, a differential diagnosis is a critical tool. It is powerful and does not introduce additional work to physician. Our method applied a deep learning tool together with word embedding from existing diagnosis texts in medical system. The model takes the clinical notes from a physician. The note is then used to analyze the possibilities of diseases. The output is sorted by model confidence. We validate our model with True Positive Rate (Recall), False Positive Rate (Precision) and accuracy. Our model achieves a new record of accuracy at 99.95% The highest recall rate is at 86.64% in top first prediction.",
        "Classes": [
            "ENV",
            "BME",
            "CPE",
            "EDU"
        ]
    },
    "420": {
        "Title": "Performance Comparison of Lightweight CNN Models for Drone Collision Avoidance Dataset",
        "Abstract": "\u00a9 2023 IEEE.Collision Avoidance System (CAS) is important for drone safety. CAS consists of three steps e.g., obstacle sensing, collision prediction, and collision avoidance. Collision prediction enables drones to gain information, process information, and estimate whether the object has a risk of collision. Convolution Neural Network (CNN) is one of the methods that can be employed for collision prediction. However, CNN is a method that needs a large data in the training. Dario Pedro et al. provided a dataset called the CoLANet dataset that consists of VDOs of collision drones. Subsequently, they proposed a new algorithm called Neural Network Pipeline which has a Convolution Neural Network (CNN) part to extract the feature from a couple of images. CNN extracts images by using MobileNetV2 as a pre-trained model. They chose MobileNetV2 due to training performance from another dataset. This paper aims to assess the performance of lightweight CNN models using the CoLANet dataset. The models will be trained on the Keras library with parameters of fewer than ten million. The models will be validated by Confusion Matrix and Receiver Operating Characteristics. In conclusion, we examine which pre-trained CNN model has the best performance and suggest ongoing work.",
        "Classes": [
            "EE",
            "CPE",
            "SAFETY"
        ]
    },
    "421": {
        "Title": "Enhancing the Hydrodeoxygenation and Isomerization using Re Nanoparticles Decorated on Ni/SAPO-11 Catalysts for Direct Production of Low-Cold Flow Diesel from Triglycerides",
        "Abstract": "\u00a9 2023 Wiley-VCH GmbH.The novel bifunctional Ni\u2212Re supported on bimodal SAPO-11 catalyst was designed for an economically combined process of direct triglycerides hydro-deoxygenation and isomerization into low-cold flow diesel. The catalyst with a Ni to Re molar ratio of 1 : 0.12 exhibited superior performance for diesel production containing large fraction of iso-alkanes in comparison to Ni and Re benchmarks. Comprehensive characterizations revealed that the detection of Ni and Re co-existed with NiO and ReOx on SAPO-11 after the reduction confirmed by XRD, XANES, and XPS analysis gave a large distribution of Lewis acid sites (>80 %) noticed by Pyridine-DRIFTS measurement. Under investigations of WHSV, reaction temperature, and H2 pressure, the NiRe0.12 catalyst contributed a nearly theoretical 77.1 % liquid yield, accompanied by a 18.2 % jet-range and 52.1 % diesel-range yields with a classification for 46.8 % iso-alkanes and 23.5 % normal alkanes yields; whereas, the cold-flow properties of liquid product were in the ranges of winter diesel standard. It was remarkably noticed that the combination effects of Ni and nanosized Re species substantially improved the diesel production comprising iso-alkanes components with proper catalyst lifetime and low carbon deposition attributing to the fabricated active metal species on bimodal SAPO-11 features with large distribution of Lewis acidic sites.",
        "Classes": [
            "METAL",
            "ME",
            "NANO",
            "CHE",
            "AGRI"
        ]
    },
    "422": {
        "Title": "Influence of CaO precursor on CO2 capture performance and sorption-enhanced steam ethanol reforming",
        "Abstract": "\u00a9 2018 Hydrogen Energy Publications LLCThis work presents the effect of calcium and carbonate precursors on properties of CaCO3. The synthetic CaCO3 samples were transformed into CaO and tested their application to high-temperature CO2 capture. Four different sorbent precursors were investigated in this work, including calcium chloride (CaCl2) and calcium acetate (CaAc2) as calcium precursor, and sodium carbonate (Na2CO3) and urea (CO(NH2)2) as carbonate precursor. The results show that both calcium and carbonate precursors affect morphologies of CaCO3; CaCO3,Cl-Urea, and CaCO3,Cl-Na have calcite phase, whereas mixed-phases of calcite (30%) and vaterite (70%) are observed with CaCO3,Ac-Na, and aragonite is found with CaCO3,Ac-Urea. CaCO3,Cl-Na exhibits small cubic (rhombohedral) particle, CaCO3,Cl-Urea possesses spherical particle with rough surface, CaCO3,Ac-Na has spherical-like morphology with smooth surface, and CaCO3,Ac-Urea possesses aggregated form of CaCO3 particles. For application to CO2 capture, CaO derived from CaCO3,Ac-Urea provides the highest CaO conversion of 80% at 700 \u00b0C. The synthetic CaO-based sorbents were further incorporated with nickel oxide to form one-body bi-functional catalysts for H2 production from sorption-enhanced steam ethanol reforming. The results show that 87%H2 purity could be obtained with pre-breakthrough period of 60 min. Sorbent reactivity can be maintained the production of H2 for at least 10 consecutive cycle tests.",
        "Classes": [
            "PE",
            "CHE",
            "MATSCI"
        ]
    },
    "423": {
        "Title": "The role of ruthenium on the acidity of mixed alumina and silica phases and its impact on activity for ethanol dehydration",
        "Abstract": "\u00a9 2021 Canadian Society for Chemical Engineering.Ruthenium catalysts anchored on three distinct supports (\u03b3-Al2O3, \u03b3-\u03c7-Al2O3, and silica [SiO2]) are tested for ethanol dehydration at 250\u00b0C. The catalytic materials were characterized using X-ray diffraction (XRD), N2 physisorption, ammonia temperature programmed desorption (NH3-TPD), FTIR, UV-Vis spectroscopy, in situ UV-Vis spectroscopy, H2 temperature programmed reduction experiments (H2-TPR), and thermogravimetric analysis (TGA) after reaction. The activity was correlated to the number of acid sites present in the support. However, the addition of Ru increased the activity for alumina supported catalysts. Product selectivity depends on the nature of the acid sites present on the catalytic material, with ruthenium playing a critical role on the acid properties of the catalysts.",
        "Classes": [
            "METAL",
            "CHE"
        ]
    },
    "424": {
        "Title": "Effect of small amounts of Al on the surface silanol structure and their correlation to the improved catalytic performances of WOx/SiO2\u2013Al2O3 in the propene self-metathesis",
        "Abstract": "\u00a9 2021 Elsevier LtdSurface silanol structures, acid properties, and tungsten dispersion of the sol-gel-derived 7W/SiO2\u2013xAl2O3 (x = 0.2\u201323 wt%) were investigated by means of 29Si, 27Al, and 1H MAS NMR, NH3-TPD, in-situ NH3-IR spectroscopy, XRD, and Raman spectroscopy. The surface silanol structure changed upon Al and tungsten loadings; however, loading of 1 wt% Al2O3 appeared to be the threshold for preserving the Si(OH)Al with isolated bridge after impregnation of 7 wt% W. The 7W/SiO2\u20131Al2O3 (1 wt% Al2O3) was also found to exhibit the lowest ratio of Bronsted to Lewis acid with the highest amount of Lewis acid sites and the best catalyst performances in propene self-metathesis at 550 \u00b0C in terms of both propene conversion and ethylene/butene selectivity. Despite its low tungsten dispersion, the metathesis activity was correlated well with the higher amount of tungsten carbene species, which were formed on the catalysts containing higher isolated bridge silanol and the presence of higher Lewis acid sites.",
        "Classes": [
            "METAL",
            "CHE"
        ]
    },
    "425": {
        "Title": "Conversion of Hydrilla verticillata to bio-oil and charcoal using a continuous pyrolysis reactor",
        "Abstract": "\u00a9 2018 Informa UK Limited, trading as Taylor & Francis Group.This research investigates the conversion of Hydrillaverticillata into bio-oil and charcoal through a continuous pyrolysis process. The pyrolysis was carried out at a controlled temperature in the range of 300\u2013700\u00b0C. The bio-oil and charcoal were analyzed using elemental analysis, chemical composition, and Scanning Electron Microscope-Energy Dispersive X-ray (SEM-EDS). At the highest temperature of 700\u00b0C the maximum product yield of bio-oil (41.25%) was found, while the maximum product yield of charcoal was 44.98% at 300\u00b0C. These results indicate the influence of temperature variation. The analysis of the Hydrillaverticillata mixture found a great portion of large molecules, including phenols (-OH), esters (-C=O), aldehydes (-CHO), and ketones (-C=O). The SEM analysis of the charcoal determined the enhancement of specific surface areas and microporosity, indicating an active diffusion rate, which may make the product suitable for fuel applications.",
        "Classes": [
            "PE",
            "CHE"
        ]
    },
    "426": {
        "Title": "Final Electrical Test Process Enhancement for Integrated Circuits",
        "Abstract": "\u00a9 2019 IEEE.This research was conducted in a manufacturing company producing integrated circuits for global customers. The purpose of this research was to identify ways to reduce invalid defects from the contact open test in the final test process. A cause and effect diagram was used to identify possible causes of problems. After identifying the root causes, they were prioritised by applying the Pareto concept to Failure Mode and Effects Analysis (FMEA) to identify the causes with the most significant impact. The AHP (Analytic Hierarchy Process) method was then used to select the most appropriate machine while Design of Experiment (DOE) was carried out to find the significant factors and optimal parameter settings. In addition, the control plan and standard operating procedure were developed to eliminate other defects. Based on the result, this research was a successful solution for the company since it reduced the defect rates as expected. The results showed significant defect reduction after the improvement process from 2% to 0.5% in Aug 2018. Moreover, the decreasing of scraps in finished goods enabled cost-savings amounting to nearly one million baht per year.",
        "Classes": [
            "EE",
            "EDU",
            "IE",
            "MATSCI"
        ]
    },
    "427": {
        "Title": "Cloud Infrastructure Design Model for Green Smart City: Case Study of Electricity Generating Authority of Thailand",
        "Abstract": "\u00a9 Springer Nature Singapore Pte Ltd 2020.\u201cEGAT Eco Plus\u201d is a smart city initiative of Electricity Generating Authority of Thailand (EGAT). To design the cloud infrastructure to support applications in the smart city, we need a modular design model which can dynamically adjust requirements and system parameters. This paper proposes the concept of smart city cloud controller which aims to provide so-called green service resource allocation by maximizing green i.e. renewable energy usage for data centers. Based on our formulated linear programming, our proposed SCCC model can provide green service resource allocation for data centers by maximizing the green energy usage. We evaluate the SCCC formulation with the green energy usage per each data center and overall of green energy usage in optimizing green metrics. Afterward, we compare our model with a well-known algorithm for solving the resource allocation problem i.e. round-robin. The model can be applied in the smart city whose data centers have different accessibility to on-site renewable energy sources. Besides, the proposed model can adjust parameters which are design criteria for green computing; the size of tasks, different power sources; and can be used as design guidelines for green computing in smart cities with more than one power source; grid, on-site renewable energy, battery energy storage.",
        "Classes": [
            "PE",
            "EE",
            "CPE",
            "IE"
        ]
    },
    "428": {
        "Title": "Probing the promotional roles of cerium in the structure and performance of Cu/SiO2 catalysts for ethanol production",
        "Abstract": "\u00a9 2018 The Royal Society of Chemistry.In this contribution, the efficient hydrogenation of dimethyl oxalate (DMO) to ethanol was achieved over a series of cerium promoted Cu/SiO2 (xCe-Cu/SiO2) catalysts prepared by a urea-assisted gelation approach. As a promoter, Ce played a crucial role in improving the structure, properties and catalytic performance of the Cu/SiO2 catalysts. The structure and chemical properties of the synthesized catalysts were characterized by XRD, FT-IR, in situ XRD, TEM, STEM-EDX mapping, N2O titration, H2-TPR, H2-TPD, XPS, XAES, etc. The characterization results disclosed that the addition of a Ce promoter to the Cu/SiO2 catalysts remarkably increased the Cu dispersion and retarded the sintering of small-sized Cu species. The strong interaction between the Ce promoter and Cu species substantially changed the redox properties of xCe-Cu/SiO2 catalysts and made the Cu2+ species easy to reduce. In addition, the activation ability of H2 species was significantly improved in the xCe-Cu/SiO2 catalysts, as evidenced by H2-TPD studies. Among these synthesized catalysts, the 1Ce-Cu/SiO2 catalyst with a 1.0 wt% Ce loading exhibited the highest catalytic activity (100% DMO conversion), ethanol selectivity (91.8%) and stability. This enhancement of catalytic activity, ethanol selectivity and stability is very promising for the development of an alternative route for the production of ethanol by hydrogenation of DMO from syngas.",
        "Classes": [
            "METAL",
            "CHE"
        ]
    },
    "429": {
        "Title": "Development of modified airlift reactor (MALR) for improving oxygen transfer: optimize design and operation condition using \u2018design of experiment\u2019 methodology",
        "Abstract": "\u00a9 2019, \u00a9 2019 Informa UK Limited, trading as Taylor & Francis Group.Oxygen scarcity may significantly affect the process performance since it has low aqueous solubility and high demand by chemical and biological processes. The oxygen mass transfer is therefore necessary to enhance. This work aimed to develop the gas-liquid reactor, named Modified Airlift Reactor (MALR) for improving the oxygen transfer efficiency in terms of internal configurations and aeration parameters by equipping a vertical baffle for creating liquid circulation phenomena, and installing slanted baffles in the reactor riser to extend air-bubbles retention time and to improve their distributions. Since extremum conditions of the investigated factors may inefficient, optimum levels are required to identify. 2 k factorial and response surface design of Design of Experiment (DOE) methodology were applied to optimize these complex variables in terms of overall liquid mass transfer coefficient (K L a) of clean water. As a result, the main effective factors of MALR with their optimum value are amount of baffles (N b \u223c 3 baffles), baffle angle (\u03b1 \u223c 50\u00b0), position of base area (Y r \u223c 10 cm), open space on baffle (A s \u223c 90 cm2), and gas flow (Qg). Increasing Qg resulted better K L a for the studied ranges (2\u201318 LPM). At the optimum condition, the improvement of MALR in terms of K L a coefficient was increased up to 97% and 28% compared to the regular bubble column and airlift reactor, respectively, at a certain gas flow without any extra energy. The correlation models of K L a coefficient with significant variables and power consumption were constructed for future estimation purposes.",
        "Classes": [
            "ME",
            "CHE",
            "EDU"
        ]
    },
    "430": {
        "Title": "Zinc-air battery dynamics' identification using transfer functions and hammerstein-wiener models",
        "Abstract": "\u00a9 2019 IEEE.This work aims to identify the dynamic behavior of a prototype tubular zinc-air battery by using a behavioral modeling approach. The class of models used to predict the behavior of the battery are as follows: linear transfer function and nonlinear Hammerstein-Wiener (HW) model. Model parameter estimation was implemented in MATLAB and the response data test was categorized into three sections including single-step, multi-step and random-step responses. With respect to single-step response, both the transfer function and HW model were able to predict the response curve. As expected, the linear model exhibited lower accuracy than the nonlinear model. For multi-step and random-step responses with various step-size, the linear model cannot cope with the experimental behavior and is not able to provide accurate prediction of battery dynamics. One of the first conclusions of the study was that the nonlinear characteristic of the battery cannot be ignored, and the linear model might be inappropriate to predict the dynamic behavior of the battery. The second result was that the nonlinear model with a classic structure was able to predict the response with various step size precisely. Results implied that the HW model proved to be a versatile choice for use within a zinc-air battery system.",
        "Classes": [
            "METAL",
            "EE",
            "CPE",
            "MATH"
        ]
    },
    "431": {
        "Title": "Effect of Drop-out Layers Inside an Long Short-Term Memory for Household Load Forecast Application",
        "Abstract": "\u00a9 2023 IEEE.Ensuring precise power load forecasting is highly important in planning the secure, steady, and cost-effective functioning of the power system. Grid planning and decision-making can be based on accurate long- and short-term power load forecasting. Recently, machine learning techniques have gained wide-spread adoption for both long- and short-term power load forecasting. Specifically, the Long Short-Term Memory (LSTM) is customized for time series data analysis. This research proposes an LSTM model for forecasting the power load of a single house containing electrical appliances over the next 20 days. We conducted a comparative analysis of the impact of dropout layers in load forecasting applications using the LSTM model. The proposed model comprises dropout rates of 0.2, 0.3, 0.4, 0.5, and 0.6, respectively. Their impact on load forecasting is examined. The experimental results demonstrate slight variations in predictions when altering dropout layers. The results show that the effect of dropout layers on the forecast varies the accuracy by only approximately 1%. However, the models with significant dropout rates are more general than those with lower or higher rates. So the model with a dropout rate of 0.4 is suggested.",
        "Classes": [
            "BME",
            "IE",
            "MATH"
        ]
    },
    "432": {
        "Title": "Improve Traffic Prediction Using Accident Embedding on Ensemble Deep Neural Networks",
        "Abstract": "\u00a9 2019 IEEE.Traffic Prediction in a large-scale network has become an important topic of an intelligent transportation system (ITS). The problem is challenging due to various nonlinear temporal and difficulty for longer-step ahead prediction. The recurring congestion on rush-hour and non-recurring congestion on accidents are the main patterns. While most of the previously proposed techniques focus on rush-hour, unexpected accidents that affect local traffic were not considered in these works. To improve the prediction, we propose an ensemble deep neural network to archive the recurring and non-recurring congestion together combining CNN and LSTM architectures. Furthermore, the accident information is utilized and embedded using stacked autoencoder. An experiment was conducted on two data sets: England's Highways and Thailand's Expressways. The results showed that a combination of CNN and LSTM can be improved by using an embedded vector of accident information.",
        "Classes": [
            "CPE",
            "SAFETY"
        ]
    },
    "433": {
        "Title": "Comprehensive investigation on bond mechanism of embedded through-section fiber-reinforced polymer bars to concrete for structural analysis",
        "Abstract": "\u00a9 2020 Elsevier LtdThis study investigates the bond behavior between embedded through-section (ETS) fiber-reinforced polymer (FRP) bars and concrete, as well as its effect on the structural performance of beams strengthened in shear with ETS bars, through experiments, analytical evaluations, and numerical simulations. A series of pullout tests was carried out to analyze the bond mechanism between ETS bars and concrete for various influences such as embedment length and ETS stiffness. Together with previous data, a comprehensive analytical method for defining the ETS\u2013concrete interfacial profile is proposed. Additionally, the proposed bond model is used to build a new method of predicting the ETS shear resisting force and assessing the absorption energy of strengthened beams. Results indicate that the developed bond model is reasonable for simulating ETS\u2013concrete interfaces, and the method for deriving the shear contribution of ETS FRP bars through bonding-based mechanism shows good performance compared to other shear models. Bonding parameters such as interfacial ductility index (B) and interfacial energy (Gf) are observed to strongly affect the performance of strengthened members. Moreover, finite element (FE) simulations of beams strengthened with ETS bars were conducted, and the proposed bonding approach was utilized. Comparisons between the results achieved from FE modeling and experiments clarify that FE simulation with the proposed bond model is effective for analyzing shear strengthened beams by ETS bars.",
        "Classes": [
            "CE",
            "METAL",
            "ME",
            "MATENG",
            "MATSCI"
        ]
    },
    "434": {
        "Title": "A study of vehicular desynchronization for platooning application",
        "Abstract": "\u00a9 2017 IEEE.Platooning is a challenging application because it requires a frequent rate of beaconing. Performance of traditional Carrier Sense Multiple Access with Collision Avoidance method (CSMA/CA) on IEEE 802.11p is unable to satisfy for platooning needs due to unbounded delay especially under high channel load. Several researches about platooning are involved with medium access control (MAC) layer modification in a protocol stack and/or does not support variable number of vehicles and/or have a single point of failure. In this paper, we propose to use a vehicular desynchronization TDMA-based protocol over off-the-shelf IEEE 802.11p, while supporting vehicles joining and leaving a platoon and having no single point of failure. We recommend a range of parameters that are suitable for the platooning application. Our evaluation shows that using our suggested parameters, the vehicular desynchronization protocol could support a high-frequency beaconing with up to 16 vehicles at 100 Hz beaconing.",
        "Classes": [
            "CPE"
        ]
    },
    "435": {
        "Title": "Briquette fuel production from wastewater sludge of beer industry and biodiesel production wastes",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.The production of industrial wastes is increasing each year. Current methods of waste disposal are severely impacting the environment. Utilization of industrial wastes as an alternative material for fuel is gaining interest due to its environmental friendliness. Thus, the objective of this research was to study the optimum condition for fuel briquettes produced from wastewater sludge of the beer industry and biodiesel production wastes. This research is divided into two parts. Part I will study the effects of carbonization of brewery wastewater sludge for high fixed carbon. Part II will study the ratio between brewery wastewater sludge and bleaching earth for its high heating value. The results show that the maximum fixed carbon of 10.01% by weight was obtained at a temperature of 350 \u00b0C for 30 minutes. The appropriate ratio of brewery wastewater sludge and bleaching earth by weight was 95:5. This condition provided the highest heating value of approximately 3548.10 kcal/kg.",
        "Classes": [
            "ENV",
            "PE",
            "CHE",
            "MATENG",
            "AGRI"
        ]
    },
    "436": {
        "Title": "Formalism of stochastic queueing network using stochastic petri nets",
        "Abstract": "\u00a9 2018 IEEE.Queueing process is an essential behavior of common software systems. It would have critical impact on the requirements, including credibility, accuracy, timeliness and cost. Especially in the real-time system, a queueing network system provides a high level comprehensive model to help analyze and adjust the performance of the availability of incoming customer and service resources. In this paper, we intend to focus on the formalism of stochastic queues and the construction of them into a comprehensive queueing network system, as to cope with the random behaviors of the arrival time and service time. A stochastic Petri net is considered and illustrated to represent the target stochastic queueing network and a simple Markovian graph is generated to represent the probability distribution of the behavioral model.",
        "Classes": [
            "CPE",
            "MATH"
        ]
    },
    "437": {
        "Title": "Performance comparison of different membrane reactors for combined methanol synthesis and biogas upgrading",
        "Abstract": "\u00a9 2019 Elsevier B.V.The computational fluid dynamic (CFD) models of a planar membrane micro-structured reactor (MMR) and a triple pipe tubular membrane reactor (TMR) were established via COMSOL Multiphysics 5.3a in order to propose a reactor combining methanol synthesis and biogas upgrading simultaneously. The simulated results under predetermined conditions revealed that the methanol yield of 28.88%, CO2 permeation factor of 99.24% and water permeation factor of 89.64% were obtained from the MMR, which were higher than those obtained from the TMR. This was attributed to the fact that the high surface area-to-volume ratio of MMR provided superior heat and mass transfer rate for the reactions, resulting in a better performance of the reactor. Furthermore, the operating and design parameters of MMR were also investigated. It was found that the mass flow ratio of gas in biogas channels (BC) to that in reaction channels (RC) and Weight hour space velocity (WHSV) in RC significantly affected the reactor performance. Finally, the reactions of methanol synthesis in MMR were proved toovercome the equilibrium limitation at low pressure. The quality of bio-methane obtained from MMR could also be used as a fuel for vehicles.",
        "Classes": [
            "PE",
            "ME",
            "CPE",
            "CHE"
        ]
    },
    "438": {
        "Title": "GNSS Precise Positioning Determinations Using Smartphones",
        "Abstract": "\u00a9 2019 IEEE.Global Navigation Satellite System (GNSS) raw measurements are available on Smartphone running Android 7 since May 2016. This allows developers to access GNSS carrier phase and pseudorange measurements; therefore, precise positioning could be determined. Some limitation is that the location of the embedded GNSS antenna (and phase centre) within the Smartphones is not disclosed by any manufacturers. This paper aims to determine Xiaomi Mi8's GNSS antenna phase centre and its performances. The positioning accuracy is computed and later compared with a controlled position where the observations are obtained by a GNSS survey receiver; Trimble R10 where the nearest Continuously Operating Reference Station (CORS) with baseline length of approximately 5.3 km is used as reference base stations in relative positioning computations. Their positioning results are achieved from a commercial GNSS processing software; CHC Geomatics Office (CGO) version 1.0.6. It is found that the Mi8 GNSS antenna phase centre is located on the top left of the Smartphone; approximately 2.8 cm from the centre and 0.9 cm from the top edge. The Root Mean Square Error (RMSE) in Northings, Eastings and elevations are within centimetre level of accuracy when the screen is facing upwards. It could be concluded that a Smartphone Mi8 is capable to determine precise positions when the GNSS antenna phase centre is known and the integer phase ambiguities are correctly resolved.",
        "Classes": [
            "EE",
            "MATH"
        ]
    },
    "439": {
        "Title": "Exploiting Building Blocks in Hard Problems with Modified Compact Genetic Algorithm",
        "Abstract": "\u00a9 2018 IEEE.In Evolutionary Computation, good substructures that are combined into good solutions are called building blocks. In this context, building blocks are common structure of high- quality solutions. The compact genetic algorithm is an extension of the genetic algorithm that replaces the latter's population of chromosomes with a probability distribution from which candidate solutions can be generated. This paper describes an algorithm that exploits building blocks with compact genetic algorithm in order to solve difficult optimization problems under the assumption that we have already known building blocks. The main idea is to update the probability vectors as a group of bits that represents building blocks thus avoiding the disruption of the building blocks. Comparisons of the new algorithm with a conventional compact genetic algorithm on trap-function and traveling salesman problems indicate the utility of the proposed algorithm. It is most effective when the problem instants have common structures that can be identify as building blocks.",
        "Classes": [
            "CE",
            "CPE",
            "IE",
            "MATH"
        ]
    },
    "440": {
        "Title": "Rock wool and printed circuit boards (PCBs) as partial fine aggregate replacements in cement mortar",
        "Abstract": "\u00a9 2018 Trans Tech Publications, Switzerland.The utilization of industrial wastes such as, fly ash, silica fumes, and slag in construction materials, has been receiving increased attention due to its environmental friendliness and reduction of natural resources consumptions. This study investigates and compares the utilization of spent rock wool from industrial insulation and printed circuit boards (PCBs) (the non-metallic part) as a partial replacement for conventional fine aggregates in cement mortar. Each of the waste materials was used as a partial fine aggregate ranging from 0% to 20%, by weight. The cement mortar samples were cured at 7 days, 14 days and 28 days. To investigate the properties of the cement mortars with different amounts of industrial wastes, the density, compressive strength, transverse strength and thermal conductivity of each mortar variation were measured. The results indicate that the compressive and transverse strengths of the cement mortars decreased as more industrial wastes was present in the mixtures. However, the fine aggregate substitutes improved thermal resistance, as indicated by the decreasing thermal conductivity values of the cement mortars. Thus, the use of these two industrial wastes in cement mortar could be a viable option for non-structural and non-load bearing construction applications because these substitutes have the ability to produce mortar with suitable mechanical and insulating properties.",
        "Classes": [
            "CE",
            "ENV",
            "ME",
            "EE",
            "MATENG",
            "AGRI"
        ]
    },
    "441": {
        "Title": "The low temperature selective oxidation of H2S to elemental sulfur on TiO2 supported V2O5 catalysts",
        "Abstract": "\u00a9 2018 Elsevier LtdThe selective oxidation of H2S to elemental sulfur at low temperature (130 \u00b0C) was investigated on various TiO2-supported vanadium oxide catalysts. The TiO2 supports were commercially available pure anatase TiO2 (dXRD 21 and 43 nm with specific surface area 63 and 10 m2/g, respectively), solvothermal-synthesized pure anatase TiO2 (dXRD 15 nm, 69 m2/g), P-25 TiO2 (mixed anatase/rutile phase, 46 m2/g), and rutile TiO2 (dXRD 40 nm, 6 m2/g). In order to obtain high catalytic activity of the V2O5/TiO2 catalysts, a combination of highly dispersed vanadium oxides and a strong interaction of V-Ti species were found to be necessary. As revealed by the XPS, Raman, and O2-TPD results, the interaction between active V component and TiO2 support was shown by the presence of partially reduced V-Ti species. Due to the strong interaction between V and TiO2 support, the active V component, which was not fully oxidized, led to more oxygen vacancies being formed and facilitated a rapid catalyst regeneration from V4+ to V5+ (re-oxidation). Hence, the capability of the catalysts for H2S removal was greatly enhanced. Among them, the V2O5 supported on anatase TiO2 with dXRD 21 nm exhibited the best catalyst performances using the feed molar ratio (O2/H2S) of 0.5.",
        "Classes": [
            "PE",
            "METAL",
            "ME",
            "CHE",
            "MATSCI"
        ]
    },
    "442": {
        "Title": "Experimental and Numerical Study on the Charge Decay on Solid Insulator Surface",
        "Abstract": "\u00a9 2020 IEEE.This paper presents the measurement and simulation of surface charge decay on a polymethyl methacrylate (PMMA) circular disc. The dependency of charge reduction on varied thickness was investigated. For the experiment, a rod-plane electrode arrangement was used to generate the positive corona discharge on the dielectric surface of PMMA. The measured surface potential was used to calculate the electric field by using the finite element method (FEM). The simulation model is axisymmetric having boundary conditions based on the measured potential. The surface charge density was then calculated from the normal electric field in the PMMA side and that in the air side. The comparison of estimated results and simulation results of surface charge density was made. The surface potential distribution was initially bell-shaped then decreased with time. The mechanism of electric conduction through the volume of insulation and charge neutralization by ambient gas ions influenced the surface potential decay. In the case of thicker PMMA, the reduction of surface potential distribution was fast in comparison with other cases. The estimated surface charge density was similar to the simulation results.",
        "Classes": [
            "EE",
            "MATENG"
        ]
    },
    "443": {
        "Title": "Investigation of Generalized SIFs of cracks in 3D piezoelectric media under various crack-face conditions",
        "Abstract": "\u00a9 2019, Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature.This paper investigates the influence of crack geometry, crack-face and loading conditions, and the permittivity of a medium inside the crack gap on intensity factors of planar and non-planar cracks in linear piezoelectric media. A weakly singular boundary integral equation method together with the near-front approximation is adopted to accurately determine the intensity factors. Obtained results indicate that the non-flat crack surface, the electric field, and the permittivity of a medium inside the crack gap play a crucial role on the behavior of intensity factors. The mode-I stress intensity factors (KI) for two representative non-planar cracks under different crack-face conditions are found significantly different and they possess both upper and lower bounds. In addition, KI for impermeable and semi-permeable non-planar cracks treated depends strongly on the electric field whereas those of impermeable, permeable, and semi-permeable penny-shaped cracks are identical and independent of the electric field. The stress/electric intensity factors predicted by permeable and energetically consistent models are, respectively, independent of and dependent on the electric field for the penny-shaped crack and the two representative non-planar cracks. Also, the permittivity of a medium inside the crack gap strongly affects the intensity factors for all crack configurations considered except for KI of the semi-permeable penny-shaped crack.",
        "Classes": [
            "EE",
            "MATH"
        ]
    },
    "444": {
        "Title": "Optimal Representation for Right-to-Left Parallel Scalar Point Multiplication",
        "Abstract": "\u00a9 2017 IEEE.This paper introduces an optimal representation for a right-to-left parallel elliptic curve scalar point multiplication. The right-to-left approach is easier to parallelize than the conventional left-to-right approach. However, unlike the left-to-right approach, there is still no work considering number representations for the right-to-left parallel calculation. By simplifying the implementation by Robert, we devise a mathematical model to capture the computation time of the calculation. Then, for any arbitrary amount of doubling time and addition time, we propose algorithms to generate representations which minimize the time in that model. As a result, we can show a negative result that a conventional representation like NAF is almost optimal. The parallel computation time obtained from any representation cannot be better than NAF by more than 1%.",
        "Classes": [
            "MATH"
        ]
    },
    "445": {
        "Title": "Effect of rhenium and cobalt additions on the microstructure and gamma prime phase stability of vacuum arc melted modified nickel-based superalloys grade MGA 1400",
        "Abstract": "\u00a9 Carl Hanser Verlag GmbH & Co. KG.The effect of rhenium and cobalt additions on the microstructure and gamma prime phase stability of modified nickel-based superalloy, grade MGA1400 by means of a vacuum arc melting method with different contents of rhenium (Re) and cobalt (Co) was investigated. After being subjected to heat treatment, the size of the gamma prime particles was slightly reduced with increasing rhenium content. Then, the alloys were exposed at a temperature of 1173 K for 1800 ks. The results showed that increasing the rhenium addition leads to a slower coarsening rate of the gamma prime particles. Furthermore, the shape of the gamma prime particles changed to a more cubic shape. However, an excessive rhenium content (>1.21 wt.-%) promotes the formation of a topologically close-packed phase after a 360 ks exposure at 1173 K. It can be concluded that an increase in rhenium content can result in a lower coarsening rate of the gamma prime particles. The cobalt addition is beneficial for impeding or slowing the precipitation of topologically close-packed phases at an elevated temperature.",
        "Classes": [
            "METAL",
            "ME",
            "CHE",
            "MATH",
            "MATSCI"
        ]
    },
    "446": {
        "Title": "Wheeling charge calculation with consideration of investment lifetime and power transaction locations",
        "Abstract": "\u00a9 2019 IEEE.In Thailand, Small Power Producers (SPPs), ranging from 10 to 90 MW, mostly use state-owned transmission and sub-transmission systems to transfer their electrical power to customers. This may result in an additional investment of transmission and sub-transmission systems. Consequently, the transmission and sub-transmission utilities tend to collect 'wheeling charge' from power transactions between SPPs and their customers for recovering the transmission and sub-transmission systems investment costs. The objective of this paper is to analyze the wheeling charge results by using a Power Flow Based MW-Mile method on a PEA's sub-transmission system; namely, the C1-BIC-NVC-LL-Job-10 115-kV system. Also, the paper considers the impact of the incoming SPPs locations, the additional investment during wheeling charge collecting period, and the impact of line loading of the demonstrated system. The results show that the difference in locations of power transactions can cause the difference in wheeling charge results.",
        "Classes": [
            "ME",
            "EE"
        ]
    },
    "447": {
        "Title": "Scaling laws for static displacement of linearly elastic cracked beam by energy method",
        "Abstract": "\u00a9 2018 Elsevier LtdExperimental studies on the problem of crack identification can be simplified and enhanced through the concept of structural similarity since the behaviors of a full-scale structure can be investigated using a reduced-scale model. The structural similarity of a rectangular cross-section beam with a through-thickness edge crack and elastically supported was investigated. The beam was subjected to concentrated forces perpendicular to its longitudinal axis and concentrated bending moments. Complete similarity conditions and scaling laws for static deflection and slope of the cracked beam were derived using the principle of conservation of energy and the strain energy release rate approach within the framework of linear elastic fracture mechanics. Accuracy of the derived complete similarity conditions and scaling laws were experimentally and numerically verified. The concept of incorporating the similarity theory to problems of structural health monitoring was explained.",
        "Classes": [
            "CE",
            "MATSCI"
        ]
    },
    "448": {
        "Title": "Effect of TMB/P123 ratios on physicochemical properties of mesocellular foam carbon (MCF-C) as catalyst for ethanol dehydrogenation",
        "Abstract": "\u00a9 2021 Elsevier LtdThe preparation of mesocellular foam carbon catalysts with different ratios of 1,3,5-trimethyl benzene (TMB)/P123 is represented for investigation in catalytic activity via ethanol dehydrogenation to acetaldehyde. The TMB was used as a swelling agent and P123 acted as template-structuring. The physicochemical properties of synthesized catalysts were determined using Brunauer-Emmett-Teller (BET) surface area analysis, transmission electron microscopy (TEM), scanning electron microscopy (SEM)\u2013energy dispersive X-ray spectroscopy (EDX), X-ray diffraction (XRD), Fourier transform infrared (FT-IR), thermogravimetric analysis (TGA), ammonia temperature-programmed desorption (NH3-TPD), and carbon dioxide temperature-programmed desorption (CO2-TPD). The evidence suggested that various ratios of TMB/P123 can differently control the mesostructure including the pore size, specific surface area, and pore volume. Particularly, MCF-C 3.5 catalyst (TMB/P123 of 3.5) enhanced the catalytic via ethanol dehydrogenation. Interestingly, effectively controllable pore structure of catalysts is beneficial for the desorption of selective product such as acetaldehyde leading to remarkably increased yield of acetaldehyde. Furthermore, the MCF-C 3.5 evidently exhibited outstanding stability at temperature of 400 \u00b0C for 12 h. Thus, it can be reasonably selected the ratio of TMB/P123 as 3.5, which is dominantly facilitated either high diffusion of reactant or high stability without losing of the traditional structure compared with other ratios of TMB/P123.",
        "Classes": [
            "OPTIC",
            "CHE",
            "MATSCI"
        ]
    },
    "449": {
        "Title": "Synthetic CaO-based sorbent for high-temperature CO2 capture in sorption-enhanced hydrogen production",
        "Abstract": "\u00a9 2018 Hydrogen Energy Publications LLCCalcium precursor and surfactant addition on properties of synthetic alumina-containing CaO-based for CO2 capture and for sorption-enhanced steam methane reforming process (SE-SMR) were investigated. Results showed that the sorbent derived from calcium D-gluconic acid (CG-AN) offered CO2 sorption capacity of 0.38 g CO2/g sorbent, which is greater than 0.17 g CO2/g sorbent of the sorbent derived from calcium nitrate (CN-AN). Addition of CTAB surfactant during synthesis was found to enhance CO2 sorption capacity for CG-AN but not for CN-AN sorbents. Stability tests of the modified sorbents for 10 cycles showed that CG-AN-CTAB provided higher CO2 sorption capacity than CN-AN-CTAB for each corresponding cycle. Incorporation of CG-AN with Ni catalyst (Ni-CG-AN) using wet-mixing technique offered the longest pre-breakthrough period of 60 min for average maximum H2 purity of 88% at 600 \u00b0C and a steam/methane molar ratio of 3.",
        "Classes": [
            "PE",
            "CHE"
        ]
    },
    "450": {
        "Title": "A portable USB-controlled potentiostat for paper-based electrochemical applications",
        "Abstract": "\u00a9 2018 IEEEThis paper presents a portable and inexpensive USB-controlled potentiostat which supports paper-based electrochemical sensor for using in the laboratory-free application. the system is designed to operate with a 5V single-supply which is provided by a USB port. The oversampling and averaging methods are applied to enhance the ADC resolution from 10 to 12 bits, so the system is able to read relatively small current down to 0.122 nA. The MATLAB graphic user interface is used to control the cyclic voltammetry experiment with the applied potential in the range of \u00b11V, and measure current range from \u00b10.25 \u00b5A to \u00b1250 \u00b5A in 4 different ranges.",
        "Classes": [
            "CPE",
            "CHE"
        ]
    },
    "451": {
        "Title": "Literature reviews on applying artificial intelligence/machine learning to software engineering research problems: Preliminary",
        "Abstract": "Copyright \u00a9 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).This paper is aimed to explore the application of Artificial Intelligence/Machine Learning (AI/ML) to software engineering research problems. Which activities of software engineering use AI/ML the most for solving research problems? The scope of the paper is to preliminary review research papers published in Asia-Pacific Software Engineering Conference 2018 (APSEC 2018) proceedings and researches conducted at the Department of Computer Engineering, Chulalongkorn University (CPCU). The author manually reviews papers with some keywords such as machine learning, neural network, and natural language processing. The result shows that machine learning is used in coding and software quality improvement activities more than other activities.",
        "Classes": [
            "CPE",
            "EDU"
        ]
    },
    "452": {
        "Title": "A multi-parameterized water quality prediction method with differential computing among sampling sites",
        "Abstract": "\u00a9 2019 The authors and IOS Press. All rights reserved. This paper presents a multi-parameterized water quality prediction method with differential computing among sampling sites at Bangkok City, Thailand. Here, two canals were selected for case study and nine parameters were chosen for water quality prediction, they are Temperature, pH, DO, BOD, COD, NH 3 -N, NO 2 -N, NO 3 -N, and TP. The data obtained from 2007 to November 2017. The differential computing is chosen to predict the parameters along sampling sites. The results are indicated the predictive values of temperature and pH are entirely accurate than another parameter because the error values are low values and both parameters are slightly changed from the past up to present. Therefore, the differential computing possibly uses to predict some water quality parameters which they are quite stable conditions.",
        "Classes": [
            "ENV",
            "EE",
            "CHE"
        ]
    },
    "453": {
        "Title": "Semantic Segmentation on Medium-Resolution Satellite Images Using Deep Convolutional Networks with Remote Sensing Derived Indices",
        "Abstract": "\u00a9 2018 IEEE.Semantic Segmentation is a fundamental task in computer vision and remote sensing imagery. Many applications, such as urban planning, change detection, and environmental monitoring, require the accurate segmentation; hence, most segmentation tasks are performed by humans. Currently, with the growth of Deep Convolutional Neural Network (DCNN), there are many works aiming to find the best network architecture fitting for this task. However, all of the studies are based on very-high resolution satellite images, and surprisingly; none of them are implemented on medium resolution satellite images. Moreover, no research has applied geoinformatics knowledge. Therefore, we purpose to compare the semantic segmentation models, which are FCN, SegNet, and GSN using medium resolution images from Landsat-8 satellite. In addition, we propose a modified SegNet model that can be used with remote sensing derived indices. The results show that the model that achieves the highest accuracy RGB bands of medium resolution aerial imagery is SegNet. The overall accuracy of the model increases when includes Near Infrared (NIR) and Short-Wave Infrared (SWIR) band. The results showed that our proposed method (our modified SegNet model, named RGB-IR-IDX-MSN method) outperforms all of the baselines in terms of mean F1 scores.",
        "Classes": [
            "EE",
            "CPE",
            "OPTIC",
            "EDU"
        ]
    },
    "454": {
        "Title": "Reducing the defects of a-pillar stamping part in the automotive assembly process",
        "Abstract": "\u00a9 2019 IEEE.This research aims to reduce defect in the automotive assembly process. Considering the defect and cost that occurred during one year; the highest defect cost came from the A-Pillar stamping part. Therefore, we analyzed production process as well as finding out the cause of the problems that occur in the stamping process by using Failure Mode and Effect Analysis (FMEA) to analyze it and conduct experiments by Design of Experiment (DOE) method. The results found that the problem came from the design of metal stamping die are not good enough to produce large parts, which are the risk of spring back problems of parts. After improving the stamping process by adding re-strike die; it is expected to reduce the number of defect from 492 cases to be zero and save the defect cost amount of 27 million Thai Baht per year.",
        "Classes": [
            "METAL",
            "EDU",
            "MATSCI"
        ]
    }
}