test_for_student.json

{
    "001eval": {
        "Title": "Comparative Electrical Energy Yield Performance of Micro-Inverter PV Systems Using a Machine Learning Approach Based on a Mixed-Effect Model of Real Datasets",
        "Abstract": "\u00a9 2013 IEEE.Long-term energy evaluation of PV systems that use micro-inverter configuration (micro-inverter PV systems) is currently unclear due to the lacking of sufficient longitudinal measurement data and appropriate analysis method. The poor knowledge about impact and aging of micro-inverter PV system affects the comprehension and accuracy of PV design and simulation tools. In this paper, we propose a machine learning approach based on the mixed-effect model to compare and evaluate the electrical energy yield of micro-inverter PV systems. The analyzed results using a 5-year period data of PV stations located at Concord, Massachusetts, USA showed that there is no significant difference in yearly electrical energy yield of micro-inverter PV systems under shading and non-shading condition. This finding has confirmed the advantage of micro-inverter PV system over the other PV types. In addition, our work is the first study that identified the average degradation rate of micro-inverter PV of 3% per year (95% confidence intervals: 2%-4.3%). Our findings in this study have extended substantially the comprehensive understanding of micro-inverter PV system."
    },
    "002eval": {
        "Title": "Effects of graphene nanoplatelets on bio-based shape memory polymers from benzoxazine/epoxy copolymers actuated by near-infrared light",
        "Abstract": "\u00a9 The Author(s) 2021.Novel near-infrared (NIR) light-induced bio-based shape memory polymers (SMPs) were prepared from copolymers of vanillin/furfurylamine-based benzoxazine monomer (V-fa monomer) and epoxidized castor oil (ECO). Incorporation of graphene nanoplatelets (GNPs) as photothermal fillers into the copolymers provided shape memory properties under near-infrared (NIR) light actuation. The effects of GNP content on photothermal, thermal, dynamic mechanical, morphology, and shape memory properties of the bio-based benzoxazine/epoxy copolymers (V-fa/ECO copolymers) were investigated. The results showed that the addition of GNPs significantly improved the photothermal, thermal, and dynamic mechanical properties of the copolymers. The uniform dispersion of 3 wt% GNPs in the V-fa/ECO copolymers resulted in the highest shape memory performance with shape fixity of 92% and shape recovery of 99% upon NIR light actuation. The recovery time decreased with the increment of GNP content, and the V-fa/ECO copolymers filled with GNPs displayed good execution in the repeated fold-deploy, in which the shape fixity and shape recovery values were close to the original specimen. Therefore, the outstanding properties of V-fa/ECO copolymers filled with GNPs had a potential to be excellent SMPs under NIR actuation."
    },
    "003eval": {
        "Title": "Anti-inflammatory action of two novel peptides derived from peanut worms (: Sipunculus nudus) in lipopolysaccharide-induced RAW264.7 macrophages",
        "Abstract": "\u00a9 The Royal Society of Chemistry 2020.Peanut worm (Sipunculus nudus Linn.) protein was hydrolyzed by three proteases, and NO scavenging activity of the protein hydrolysates was evaluated. The hydrolysate obtained using Alcalase\u00ae showed the highest NO scavenging activity. This hydrolysate was fractionated using 10-, 5-, and 3 kDa molecular weight cut-off membranes, and the lowest MW fraction (<3 kDa) exhibited the highest NO scavenging activity. The <3 kDa fraction was further purified by gel filtration and high-performance liquid chromatographies. The peptides in the HPLC fraction with the strongest anti-NO activity were identified by quadrupole-time-of-flight mass spectrometry as LSPLLAAH (821.48 Da) and TVNLAYY (843.42 Da). Both peptides and the corresponding pure synthetic peptides inhibited NO production by RAW 264.7 macrophages without cytotoxicity. Quantitative real-time RT-PCR analysis showed that peptides LSPLLAAH and TVNLAYY reduced expression of proinflammatory cytokine genes iNOS, IL-6, TNF-\u03b1, and COX-2 in RAW 264.7 macrophages, suggesting that these peptides are novel anti-inflammatory candidates."
    },
    "004eval": {
        "Title": "Efficient all-and-one support vector machines based on one-versus-all data inseparability",
        "Abstract": "\u00a9 2018 IEEE.We introduce a new strategy to estimate data inseparabilities between pairs of classes based on One-Versus-All (OVA) classifiers, and use them to enhance the All-And-One (A&O) technique. For an N-class problem, in the worst case the proposed method requires only N +1 binary classifiers to obtain the classification result as same as in the traditional framework. Our proposed method will properly create the necessary set of One-Versus-One (OVO) classifiers corresponding to OVA data inseparabilities in advance. On the other hand, it will not needlessly construct an OVO classifier if the data separability between that pair of classes is good enough. This is more practical than the traditional A&O technique that suggests to train OVO classifiers on-demand which consumes time while the system is in use. Especially in same cases of real-time applications, it may be very important to keep high speed response and maintain highly accurate results. Experimental results show that the proposed technique gives significantly better performance compared to the OVA and the traditional A&O techniques, while providing comparable accuracy compared to the OVO method. Moreover, a required number of binary classifiers in our proposed method is considerably smaller than in the OVO approach as similar as in the OVA and the traditional A&O techniques."
    },
    "005eval": {
        "Title": "Driver identification using histogram and neural network from acceleration data",
        "Abstract": "\u00a9 2017 IEEE.Sensor technology has continuously improved in term of size and cost. It encourages car companies to embed various types of sensors in their cars. The most common sensors that can be found are location sensor and acceleration sensor. The sensors generate a lot of useful data which could be applied for many future applications such as car tracking or emergency warning. One of the most interesting applications among others is analyzing the driver behavior. There are some previous works using this information to define types of drivers that are related to levels of accident risk. However, the driver behavior not only can separate the type of drivers but also can identify driving characteristic of an individual driver. The driver identification benefits a security application and it can eliminate the global car theft issue. Because the driver behavior cannot be repeated or copied like other anti-theft systems so this is an essential solution to stop increasing the number of stolen cars every year. In this paper, we propose a methodology to identify each driver and classify group of drivers using only accelerating behavior with machine learning technique. In order to identify an individual driver, the acceleration data have been transformed to a histogram in order to represent the accelerating behavior then we utilize a neural network model. We evaluate our methodology with data that have been collected from the acceleration sensors installed on 13 shuttle buses in our campus for more than 10 months. The results show the accuracy of the proposed methodology up to 88.3% for driver identification and up to 92% for driver classification."
    },
    "006eval": {
        "Title": "Drift-Flux Correlation of Oil-Water Flow in Horizontal Channels",
        "Abstract": "\u00a9 2019 by ASME.An accurate and practical approach is necessary for predicting oil fraction in horizontal oil-water flows. In this study, a concept of a drift-flux model is adopted to develop a predictive method for the oil fraction in the horizontal oil-water flows due to its simplicity and practicality. A new drift-flux correlation for the horizontal oil-water flows is developed based on the least square method using collected experimental data. The distribution parameter is determined to be 1.05 for the data with the ratio of oil density to water density ranging from 0.787 to 1.00, whereas the oil fraction weighted mean drift velocity is set at 0 m/s due to the flow direction perpendicular to the gravity direction. The physical meaning for the order of unity of the distribution parameter is explained by introducing a simple model. The predictive capability of the new drift-flux correlation is examined using the collected database of oil-water flows in horizontal pipes under a variety of test conditions. It is demonstrated that the new drift-flux correlation can predict the existing oil fractions in the horizontal pipe channels with the mean absolute error, standard deviation, mean relative deviation, and mean absolute relative deviation being 0.0124, 0.0338,-3.25%, and 9.57%, respectively."
    },
    "007eval": {
        "Title": "Training Performance Measurement with Schema and Mental Rotation Test",
        "Abstract": "\u00a9 2019 IOP Publishing Ltd. All rights reserved.Training was a crucial technique for skill development and basic foundation of learning in manufacturing while the traditional way of training selection was to trial-and-error those training methods to see its performance which take cost and time. The purpose of present study was to preliminary investigate the training performance measurement using cognitive schema and mental rotation test in camera assembly tasks with basic training and physical training condition for production staffs. 180 novice participants performed in this study. Results revealed that both cognitive schema and mental rotation test could significantly distinguish training performance between basic and physical training condition in the same direction. The implication of this study was on the measurement that could shorten the time and reduce cost in estimating the performance of each training method which could be used to support decision making. Discussion was provided."
    },
    "008eval": {
        "Title": "Comparative Analysis of Successive Cancellation and List Decoders Using Distinct Combinations of LLRs for Polar Codes",
        "Abstract": "\u00a9 2020 IEEE.Under the 3rd Generation Partnership Project (3GPP) New Radio (NR), polar codes have been chosen as one of the methods of channel coding. Polar codes are used for the control channel in 5G wireless communication deployment. So, the channel decoding schemes used to decode the received codeword must be properly analyzed for efficient utilization of 5G. This paper performed a comparative analysis of the distinct channel state-based capabilities of decoding of the two different contenders of polar code decoders: 1) Successive Cancelation (SC) decoder and 2) Successive Cancellation List (SCL) decoder. Here we have analyzed both the decoders in terms of the various combinations of high and low Log-Likelihood Ratios (LLRs) of the received codewords from the channel. This investigation has revealed that even the SCL decoder always explores more decodable candidates than the SC counterpart, under some specific received codewords the SC may decode better."
    },
    "009eval": {
        "Title": "Development of a prototype of autonomous vehicle for agriculture applications",
        "Abstract": "\u00a9 2019 Association for Computing Machinery.A prototype of autonomous vehicle is developed on a 1/5th scale vehicle. The control system utilizes the open source software and hardware, PIXHAWK, to control the autonomous vehicle. With the RTK GPS module, the autonomous vehicle can follow the designed trajectory with error less than 16 centimeters. Also, the autonomous vehicle is installed with a 2 Lidar sensors to detect obstacles. So it can avoid obstacles. With these abilities, the autonomous vehicle can be used for agricultural applications such as fertilizer spreader or weed killer sprayer. Moreover, with modifying the actuators of a full size agricultural vehicle, this control system could be installed into it. To demonstrate the application, this project develops the autonomous vehicle for fertilizer spreader."
    },
    "010eval": {
        "Title": "Characteristics of graphite felt electrodes treated by atmospheric pressure plasma jets for an all-vanadium redox flow battery",
        "Abstract": "\u00a9 2021 by the authors. Licensee MDPI, Basel, Switzerland.In an all-vanadium redox flow battery (VRFB), redox reaction occurs on the fiber surface of the graphite felts. Therefore, the VRFB performance highly depends on the characteristics of the graphite felts. Although atmospheric pressure plasma jets (APPJs) have been applied for surface modification of graphite felt electrode in VRFBs for the enhancement of electrochemical reactivity, the influence of APPJ plasma reactivity and working temperature (by changing the flow rate) on the VRFB performance is still unknown. In this work, the performance of the graphite felts with different APPJ plasma reactivity and working temperatures, changed by varying the flow rates (the conditions are denoted as APPJ temperatures hereafter), was analyzed and compared with those treated with sulfuric acid. X-ray photoelectron spectroscopy (XPS) indicated that the APPJ treatment led to an increase in O-/N-containing functional groups on the GF surface to ~21.0% as compared to ~15.0% for untreated GF and 18.0% for H2SO4-treated GF. Scanning electron microscopy (SEM) indicated that the surface morphology of graphite felt electrodes was still smooth, and no visible changes were detected after oxidation in the sulfuric acid or after APPJ treatment. The polarization measurements indicated that the APPJ treatment increased the limiting current densities from 0.56 A\u00b7cm\u22122 for the GFs treated by H2SO4 to 0.64, 0.68, and 0.64 A\u00b7cm\u22122, respectively, for the GFs APPJ-treated at 450, 550, and 650\u25e6C, as well as reduced the activation overpotential when compared with the H2SO4-treated electrode. The electrochemical charge/discharge measurements showed that the APPJ treatment temperature of 550\u25e6C gave the highest energy efficiency of 83.5% as compared to 72.0% with the H2SO4 treatment."
    },
    "011eval": {
        "Title": "Numerical homogenization for effective permittivity of composite dielectrics in waveguide by the finite element method",
        "Abstract": "\u00a9 2018 IEICE.The presented paper reports a technique for modal analysis of waveguide loaded with composite dielectric materials using multi-scale finite element method. In this work, two-dimensional composite dielectric material loaded in waveguide is homogenized with an effective permittivity. By using a technique of finite element modal analysis in rectangular waveguide fully loaded with sample of composite dielectric and well known closed form dispersion formula of rectangular waveguide, the effective permittivity of the composite dielectric material can be explicitly determined. To validate the proposed homogenization technique, numerical examples of mode analysis in waveguides loaded with porous dielectric have been carried out. The dispersion characteristic, computed by meshing physical model and homogenized model are compared. The results show good agreement."
    },
    "012eval": {
        "Title": "Short-Term Load Forecast for Energy Management Systems Using Time Series Analysis and Neural Network Method with Average True Range",
        "Abstract": "\u00a9 2019 IEEE.The load forecasting is one of the important tools for Energy Management System (EMS). It is used for planning and management power balance. Short term load forecasting (STLF) has a significant impact on the efficiency of operation. The load forecasting model must be able to accurately predict the demand of electrical power. This paper proposes the load forecasting models based on time series analysis and neural network methods. The data is taken from Mae Hong Son (MHS) located in the northern Thailand. Time series analysis utilizes auto regressive integrated moving average (ARIMA) and seasonal auto regressive integrated moving average (SARIMA). In addition, neural networks cover artificial neural network (ANN) and long-short term memory (LSTM) based recurrent neural network (RNN). Additional, the Average True Range (ATR) index is adapted to improve the performance of RNN model. We compare the performance of these models using statistic criteria, namely, root mean square error and mean absolute percent error and choose the best model to implement for micro EMS."
    },
    "013eval": {
        "Title": "Hybrid Metamodeling/Metaheuristic Assisted Multi-Transmitters Placement Planning",
        "Abstract": "\u00a9 2021 Tech Science Press. All rights reserved.With every passing day, the demand for data traffic is increasing, and this urges the research community not only to look for an alternating spectrum for communication but also urges radio frequency planners to use the existing spectrum efficiently. Cell sizes are shrinking with every upcoming communication generation, which makes base station placement planning even more complex and cumbersome. In order tomake the next-generation cost-effective, it is important to design a network in such a way that it utilizes the minimum number of base stations while ensuring seamless coverage and quality of service. This paper aims at the development of a new simulation-based optimization approach using a hybrid metaheuristic and metamodel applied in a novel mathematical formulation of the multi-transmitter placement planning (MTPP) problem. We first develop a new mathematical programming model for MTPP that is flexible to design the locations for any number of transmitters. To solve this constrained optimization problem, we propose a hybrid approach using the radial basis function (RBF) metamodel to assist the particle swarm optimizer (PSO) by mitigating the associated computational burden of the optimization procedure.We evaluate the effectiveness and applicability of the proposed algorithm by simulating the MTPP model with two, three, four and five transmitters and estimating the Pareto front for optimal locations of transmitters. The quantitative results show that almost maximum signal coverage can be obtained with four transmitters; thus, it is not a wise idea to use higher number of transmitters in the model. Furthermore, the limitations and future works are discussed."
    },
    "014eval": {
        "Title": "Assessment of heavy metals in Sediment at Saphan Hin, Phuket",
        "Abstract": "Copyright \u00a9 2018, AIDIC Servizi S.r.l.This study was conducted to assess the level of metal pollution in sediment samples at two different locations at Saphan Hin, which received water from Bang-Yai canal. The total content of Tin (Sn), Lead (Pb), and Zinc (Zn) were measured using inductively coupled plasma optical emission spectrometer (ICP-OES) by aqua regia digestion. The ranges of metal concentration (mg kg-1) were 9.04 - 32.17 mg kg-1 and 6.33 - 36.52 mg kg-1 of Pb in Core A and B; and 32.83 - 68.49 mg kg-1 and 21.63 - 73.59 mg kg-1 of Zn in Core A and B, which is below the Sediment Quality Guidelines of Threshold Effects Concentration (TEC) (35.8 mg Pb kg-1 and 121 mg Zn kg-1). Sn was not detected (< 0.03 mg kg-1). Analysis of the geo-accumulation index (Igeo) clearly indicated that most of the analysed sediment samples were not contaminated with the studied metals since low Igeo values were observed (Igeo Pb and Igeo Zn < 0). The detected enrichment factor (EFPb) values between 2.0 and 6.0 indicated moderate enrichment, while most of the sediments had EFZn values below 2 which exhibited deficiency to minimal enrichment. The EF values in this study (EF > 1.5) indicates a significant portion of the trace metals was delivered from non-crustal materials and that may be delivered by other sources. Correlation analysis showed positive relationships between Pb and Zn in both cores (r = 0.5** Core A and 0.941** Core B). The association of Pb and Zn is possibly because they originated from the same sources. The determination of other metals should be considered further."
    },
    "015eval": {
        "Title": "Optimized human detection on the embedded computer vision system",
        "Abstract": "\u00a9 2017 IEEE.This paper presents a real-time human detection technique that is capable of real time processing images in Raspberry Pi. The challenges are due to noises, illumination, distortion, and rapid changes in the image. Histogram of Oriented Gradients (HOG) feature is used to differentiate human from a scene, and fed it into Support Vector Machine (SVM) classifier. Finally, the detected human regions are filtered by discriminating the overlapping area to one detection over the human. The proposed algorithm is optimized for Raspberry Pi processor. Experimental results show that the designed system can process the real-time human detection algorithm with acceptable detection performance."
    },
    "016eval": {
        "Title": "Comparing performances of MICP bacterial vegetative cell and microencapsulated bacterial spore methods on concrete crack healing",
        "Abstract": "\u00a9 2021 Elsevier Ltd.This study compares the crack healing performances of biological self-healing concretes using cell/nutrient dropping and immobilization methods to produce microbially induced calcium carbonate precipitation (MICP). Vegetative cells and microencapsulated bacterial spores of Bacillus sphaericus (LMG 22257) were used to heal pre-cracked mortars. Mortar specimens were cured for 7 and 28 days before pre-cracking, and then repaired under wet-dry cycles for 7 days. Comparisons were made in terms of crack-width and crack-area healing and load recovery after repairing. Results showed that the vegetative cell dropping method was more effective in closing cracks and recovering ultimate load after repair than the method of using immobilized microencapsulated bacterial spores for mortar repair. In fact, specimens mixed with microencapsulated bacterial spores exhibited lower ultimate loads than comparable control specimens."
    },
    "017eval": {
        "Title": "Surface evolution of native silicon oxide layer and its effects on the growth of self-assisted VLS GaAs nanowires",
        "Abstract": "\u00a9 2019 Author(s). This research focuses on the impact of native SiO 2 layer evolution, occurring on the surfaces of Si(111) substrates on the morphological and structural properties of self-assisted GaAs nanowires. GaAs nanowires growth were grown on Si(111) substrates, already covered with native SiO 2 developing in different states with identical growth parameters including growth temperature, growth time, and Ga and As flux, using self-assisted VLS process by MBE technique. Results from nanowire samples and substrates were compared to understand the correlation between the changes in appearance of native SiO 2 layer and the changes in the growth pattern of the nanowires."
    },
    "018eval": {
        "Title": "Technological Applications of Honeycomb Monoliths in Environmental Processes: A review",
        "Abstract": "\u00a9 2019.Honeycomb monoliths are carbon-based, ceramic or metallic structures, comprising a significant number of packed, small-in-diameter channels. One of the features associated with the honeycomb monoliths is the demonstrated low pressure drops in processes involving high flow rates. Honeycomb monoliths, with a range of structures, have found increasingly promising applications in various industries. Owing to their physical structures, they keep finding new applications in industrial treatment systems. They are mainly fabricated via two different techniques: extrusion and coating. Monoliths fabricated via each of these techniques demonstrate specific characteristics suitable for a certain number of applications. With the presence of cordierite substrate in the coated monoliths, higher mechanical strength of coated honeycomb monoliths is expected when compared to the integral monoliths. The coated monoliths are suitable when mechanical strength is of importance where the adhesion of the thin layer coating on monoliths is a determining factor in the performance of the entire process. The integral monoliths are most-commonly employed in gas-phase processes rather than liquid phase applications due to their high accessible surface area per total weight (or volume) of the monoliths. Embedding mesoporous carbon coating and nanoparticles into honeycomb monoliths has improved the efficiency of monoliths in comparison to the more conventional preparation methods."
    },
    "019eval": {
        "Title": "Secure hotspot with multi-factor authentication through NFC on smartphones",
        "Abstract": "\u00a9 Proceedings of 2018 the 8th International Workshop on Computer Science and Engineering, WCSE 2018. All rights reserved.Many today enterprises attempt to protect their wireless networks from security threats. Another layer of security is typically added to verify users when connecting to a wireless network. One of the well-known enterprise authentication methods includes WPA2 Enterprise with 802.1X standard, which uses the EAP framework to enable user authentication. Deploying WPA2-Enterprise requires a RADIUS server for handling the task of authenticating access. However, credentials management for all users is a hassle for administrators. Strong authentication processes also require more and more certain actions from users. To enhance security for both users and wireless networks, this research thus presents an approach of Wi-Fi hotspot authentication by adopting MFA technique in addition to NFC utilization for credential information exchange. The implementation is developed on NFC-enabled Android smartphones through network model based on WPA2-802.1X authentication with EAP-TLS. The benefits of the proposed method would be the ease of Wi-Fi configuration and simplicity of internet access as reported in the experimental result."
    },
    "020eval": {
        "Title": "Effect of preloaded ferrocene in Co-pyrolysis of kerosene/ferrocene on CNT synthesis",
        "Abstract": "\u00a9 2018 Japan Institute of Energy. All rights reserved.Based on elemental analyses, slop oil which is typical petroleum waste could be represented by kerosene according to the major content of hydrocarbons containing 8-15 of carbon atoms. It was found that co-pyrolysis of mixture of kerosene and ferrocene with a certain amount of ferrocene preloaded into a quartz tube reactor could result in formation of carbon nanotubes with uniform morphology and substantial yield. Based on thermogravimetric and SEM analyses, it was found that typical sample of CNTs synthesized with a designated weight ratio of ferrocene mixed with kerosene and preloaded ferrocene of 1:1 exhibited better thermal stability and more uniform morphology with an average diameter of less than 100 nm."
    },
    "021eval": {
        "Title": "Spatio-Temporal deep learning for ocean current prediction based on hf radar data",
        "Abstract": "\u00a9 2019 IEEE.Ocean surface current prediction is necessary to carry a variety of marine activities, such as disaster monitoring, search and rescue operations, etc. There are three traditional forecasting approaches: (i) numerical based approach, (ii) time series based approach and (iii) machine learning based approach. Unfortunately, their prediction accuracy was limited since they did not cooperate with spatial and temporal effects together. In this paper, we present a novel current prediction model, which is a combination between Convolutional Neural Network (CNN) to extract spatial characteristic and Gated Recurrent Unit (GRU) to find a relationship of temporal characteristic. The dataset is collected by high frequency (HF) radar station's located along coastal Thailand's gulf by GISTDA from 2014 to 2016. It was an intensive experiment comparing our method and eight existing methods, e.g., ARIMA, kNN, Perceptron, Multilayer Perceptron (MLP), etc. The results show that our network outperforms almost all baselines in terms of RMSE for 11.21% and 27.01% averaging improvement on U and V components, consecutively."
    },
    "022eval": {
        "Title": "Hydrogen production via chemical looping steam reforming of ethanol by Ni-based oxygen carriers supported on CeO2 and La2O3 promoted Al2O3",
        "Abstract": "\u00a9 2019 Hydrogen Energy Publications LLCThis work studies the effects of Ce4+ and/or La3+ on NiO/Al2O3 oxygen carrier (OC) on chemical looping steam reforming of ethanol for hydrogen production - alternating between fuel feed step (FFS) and air feed step (AFS). Suitable amount of Ce- and La-doping increases OC carbon tolerance. The solubility limit is found at 50 mol% La in solid solution. At higher La-doping, La2O3 disperses on the surface and adsorbs CO2 forming La2O2CO3 during FFS. From the 1st cycle, 12.5 wt%Ni/7 wt%La2O3-3wt%CeO2\u2013Al2O3 (N/7LCA) displays the highest averaged H2 yield (3.2 mol/mol ethanol) with 87% ethanol conversion. However, after the 5th cycle, 12.5 wt%Ni/3 wt%La2O3-7wt%CeO2\u2013Al2O3 (N/3LCA) exhibits more stability and presents the highest ethanol conversion (88%) and H2 yield (2.7 mol/mol ethanol). Amorphous coke on the OCs decreases with increasing La3+ content and can be removed at 500 \u00b0C during AFS; nevertheless, fibrous coke and La2O2CO3 cannot be eliminated. Therefore, after multiple redox cycles, highly La-doped OCs exhibits rather low stability."
    },
    "023eval": {
        "Title": "Determination of reserve margin based on specified loss of load expectation",
        "Abstract": "\u00a9 2018 IEEEReserve margin is one of the key criteria when developing a Power Development Plan (PDP). It represents reliability level of generation system. Typically the reserve margin is defined as percentage of additional generation over system peak load, reserved for any unexpected event in the future, e.g. unplanned outage of a power plant. Currently, Thailand set 15% as the minimum reserve margin when developing a PDP. It is expected that the higher reserve margin should yield the higher reliability level. However, stronger relationship between the reserve margin and the reliability level should be clearly investigated. This paper proposes a method to link between these two measures, systematically. The reliability level is represented through loss of load expectation (LOLE). The generation and demand data of Thailand during 2018 - 2036 is used as a test system."
    },
    "024eval": {
        "Title": "Designing Model for Calculating the Amount of Cyber Risk Insurance",
        "Abstract": "\u00a9 2017 IEEE.In the last few years, rising sophistication and impact of cyberattacks has led companies to reassessment of their approach to risk management. Many of them admitted that they are not able to successfully prevent these attacks and they tried to find other ways to mitigate the risk. One of the possible solutions can be a cybersecurity insurance that enables companies to transfer the risk connected with a security breach to an insurance company. Basic problem is then how the cost of insurance should be calculated and how to assess the level of client's IT security controls and related risk. Unlike traditional insurance that derives the premium from target value and statistical models, the cyber insurance should take into account other factors. In this article, authors propose scoring model for cyber insurance that is based on the results of internal and external audits and compliance with mandatory and voluntary standards."
    },
    "025eval": {
        "Title": "Enhance Machine Reading Comprehension on Multiple Sentence Questions with Gated and Dense Coreference Information",
        "Abstract": "\u00a9 2018 IEEE.Machine reading comprehension (MC) is one of the most important problems in natural language processing. Most of the previous works rely heavily on features engineering and handcrafting techniques. Since the release of SQuAD, a large-scale MC dataset, many deep learning models have been proposed. However, these models are limited by the soft attention mechanism only relied on keywords that appears in a question. Therefore, the performance is always poor in a question that needs to infer an answer from multiple sentences, which cannot depend on keywords in a question. In this paper, we propose a deep learning model that incorporates coreference information to improve the prediction performance especially on multiple sentence question. We also propose the bi-directional answering technique that can help the model avoid a local maxima of the single directional answering method in a traditional model. The results have shown that our approach outperforms the baseline in terms of F1 and Exact Match (EM)."
    },
    "026eval": {
        "Title": "IoT-VuLock: Locking IoT device vulnerability with enhanced network scans",
        "Abstract": "\u00a9 Springer Nature Switzerland AG 2019.With the ever increasing number of IoT devices, the threat of IoT malware is becoming more serious every single day. Remote login vulnerability, which is the focus of this paper, remains a crucial issue as system operators occasionally deploy IoT devices with default or well-known passwords for Telnet and SSH login. This paper proposes an architecture for IoT device vulnerability locking (IoT-VuLock), allowing these vulnerable devices to be locked remotely by network administrators which in turn reduces the risk of malware intrusion through Telnet or SSH. In this paper, a prototype of IoT-VuLock has been developed and tested. The experiment results indicate that IoT-VuLock is useful for network administrators to find and lock IoT devices with high risks of IoT malware intrusion."
    },
    "027eval": {
        "Title": "Effects of novel anaerobic baffled biofilm membrane bioreactor configurations on membrane fouling mitigation and microbial community in treating liquor condensate",
        "Abstract": "\u00a9 2021 Elsevier LtdA novel anaerobic baffled biofilm-membrane bioreactor (AnBB-MBR) was developed to treat industrial liquor condensate. In order to minimize membrane fouling, three different reactor configurations of R1:No media (anaerobic baffled MBR), R2:FF (Fixed Film AnBB-MBR) and R3:FF + MVB (Fixed Film and Moving Bed AnBB-MBR) were evaluated at the same operating hydraulic retention time of 3 days. The specific fouling rates of the ceramic membranes were 0.98, 0.84 and 0.5 kPa/L/m2 for R1:No media, R2:FF and R3:FF + MVB, respectively. The R2:FF and R3:FF + MVB reactors could mitigate the membrane fouling rates by 14.1% and 48.9%, compared to R1:No media due to biomass retention in the fixed film and mechanical scouring of the MVB. From the microbial community analysis, higher relative abundances of Methanosaeta were found in the biofilm whereas more Methanobacterium was found in the suspended sludge. Moreover, higher accumulations of humic and fulvic substances in the system could inhibit the methanogenic activity."
    },
    "028eval": {
        "Title": "Development of an Automatic Meter Reading and Outage Management System using LoRaWAN Technology",
        "Abstract": "\u00a9 2018 IEEE.Automatic Meter Reading (AMR) is an important part of the distribution system that can provide data from customers for utilities to monitor. With the help of communication technology, it can also be used for outage management. When outages occur, AMR may send outage notification to utilities for assessing the situation. AMR can also be polled at any time to determine power and status. However, it would not be efficient for utilities to poll every meter in an affected area of the network due to time and data constraints especially with Low-Power Wide-Area Network as LoRaWAN. LoRaWAN technology can provide very long-range transmission with low power consumption. However, it also has some restrictions including a limited payload, capacity and network size. This paper explains how LoRaWAN can be employed in an AMR setting, including for the on-demand reading feature and the polling algorithm for outage management system (OMS), which is used to identify system conditions."
    },
    "029eval": {
        "Title": "Single-molecule detection of DNA in a nanochannel by high-field Strength-Assisted electrical impedance spectroscopy",
        "Abstract": "\u00a9 2019 by the authors.Many researchers have fabricated micro and nanofluidic devices incorporating optical, chemical, and electrical detection systems with the aim of achieving on-chip analysis of macromolecules. The present study demonstrates a label-free detection of DNA using a nanofluidic device based on impedance measurements that is both sensitive and simple to operate. Using this device, the electrophoresis and dielectrophoresis effect on DNA conformation and the length dependence were examined. A low alternating voltage was applied to the nanogap electrodes to generate a high intensity field (>0.5 MV/m) under non-faradaic conditions. In addition, a 100 nm thick gold electrode was completely embedded in the substrate to allow direct measurements of a solution containing the sample passing through the gap, without any surface modification required. The high intensity field in this device produced a dielectrophoretic force that stretched the DNA molecule across the electrode gap at a specific frequency, based on back and forth movements between the electrodes with the DNA in a random coil conformation. The characteristics of 100 bp, 500 bp, 1 kbp, 5 kbp, 10 kbp, and 48 kbp \u03bb DNA associated with various conformations were quantitatively analyzed with high resolution (on the femtomolar level). The sensitivity of this system was found to be more than about 10 orders of magnitude higher than that obtained from conventional linear alternating current (AC) impedance for the analysis of bio-polymers. This new high-sensitivity process is expected to be advantageous with regard to the study of complex macromolecules and nanoparticles."
    },
    "030eval": {
        "Title": "Power development planning considering energy storage system",
        "Abstract": "\u00a9 2019 IEEE.Power development plan or PDP is a long-term plan for energy reliability and security. It illustrates how much power plant a country plans to build to meet future demand. At present, one of the great challenges for the system planner is to develop a PDP that can confront with high growth of demand as well as high growth of the renewable energy. As the renewable energy is highly penetrated, it creates high uncertainty and intermittency to the power grid in such a way that, sometimes, typical conventional power plant cannot be quick enough to response. Many recent researches suggest that the energy storage system or ESS should be installed to cope with this problem. This paper proposed a method to develop a PDP considering installation of the ESS. The key factor determining whether a power grid requires a new plant or a new ESS is an index modified from Reserved Margin (RM). To illustrate the advantage of the proposed method, new power development plan (PDP) done by the proposed method is then compared to the Thailand's current plan, PDP2018."
    },
    "031eval": {
        "Title": "Quality control process improvement of flexible printed circuit board by FMEA",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.This research focuses on the quality control process improvement of Flexible Printed Circuit Board (FPCB), centred around model 7-Flex, by using Failure Mode and Effect Analysis (FMEA) method to decrease proportion of defective finished goods that are found at the final inspection process. Due to a number of defective units that were found at the final inspection process, high scraps may be escaped to customers. The problem comes from poor quality control process which is not efficient enough to filter defective products from in-process because there is no In-Process Quality Control (IPQC) or sampling inspection in the process. Therefore, the quality control process has to be improved by setting inspection gates and IPCQs at critical processes in order to filter the defective products. The critical processes are analysed by the FMEA method. IPQC is used for detecting defective products and reducing chances of defective finished goods escaped to the customers. Reducing proportion of defective finished goods also decreases scrap cost because finished goods incur higher scrap cost than work in-process. Moreover, defective products that are found during process can reflect the abnormal processes; therefore, engineers and operators should timely solve the problems. Improved quality control was implemented for 7-Flex production lines from July 2017 to September 2017. The result shows decreasing of the average proportion of defective finished goods and the average of Customer Manufacturers Lot Reject Rate (%LRR of CMs) equal to 4.5% and 4.1% respectively. Furthermore, cost saving of this quality control process equals to 100K Baht."
    },
    "032eval": {
        "Title": "Text Generation for Imbalanced Text Classification",
        "Abstract": "\u00a9 2019 IEEE.The problem of imbalanced data can be frequently found in the real-world data. It leads to the bias of classification models, that is, the models predict most samples as major classes which are often the negative class. In this research, text generation techniques were used to generate synthetic minority class samples to make the text dataset balanced. Two text generation methods: The text generation using Markov Chains and the text generation using Long Short-Term Memory (LSTM) networks were applied and compared in the term of ability to improve the performance of imbalanced text classification. Our experimental study is based on LSTM networks classifier. Traditional over-sampling technique was also used as baseline. The study investigated our Thai-language advertisement text dataset from Facebook. According to the increase of recall value, applying of these techniques showed the improvement of an ability to create model predicting more positive samples, which are minority samples. It can be found that the Markov Chains technique outperformed traditional over-sampling and text generation using LSTM in majority of the models."
    },
    "033eval": {
        "Title": "Risk-based N-2 contingency ranking in transmission system using operational condition",
        "Abstract": "\u00a9 2018 IEEE.Power system security assessment for operational application requires more various methods than only considering the impact of contingency as traditional. Moreover, the growth of transmission grid may increase risk of multiple outage contingencies occurred, especially in double contingency case. In this paper, contingency screening and risk-based contingency ranking are proposed to assess and rank N-2 contingencies by using both of the consequence of overloading on transmission lines and the probability of occurrence that integrated with operational condition. The simulation results on the Central area of Thailand 139-bus test system demonstrates the effectiveness of the proposed module."
    },
    "034eval": {
        "Title": "Temperature dependence of iron oxide-graphene oxide properties for synthesis of carbon nanotube/graphene hybrid material",
        "Abstract": "\u00a9 2020 Elsevier B.V.Iron oxide embedded on graphene oxide (Fe2O3/GO) was prepared by chemical exfoliation followed by wet impregnation. Reduced Fe2O3/GO could be employed as catalyst for synthesizing carbon nanotubes CNTs via catalytic chemical vapor deposition CCVD of n-hexane within a temperature range of 700-1000 \u00b0C. It was found that during the synthesis process, pretreatment affected the transformation of iron nanoparticles in the Fe2O3/GO, leading to significant difference in formation of carbon nanoparticles. When the Fe2O3/GO was employed within a temperature range of 700\u2212900 \u00b0C, Fe2O3 was reduced to \u03b1-Fe, yielding CNT growth on the graphene surface. However, the \u03b1-Fe could be transformed to \u03b3-Fe when the Fe2O3/GO was subject to the temperature of 1000 \u00b0C, resulting in formation of carbon spheres instead of CNTs. After experimentally verified, conceptual scenarios of CNT/graphene hybrid material formation with respect to the pretreatment and synthesis temperature were proposed and discussed."
    },
    "035eval": {
        "Title": "A Discrete Event Simulation Model for Evaluating Inland Terminal's efficiency: A Case Study of Ladkrabang Inland Container Depot",
        "Abstract": "\u00a9 2021 IEEE.An inland terminal, or dry port, is one of main facilities in the logistical network of maritime transportation as it helps provide access between hinterland and the rest of the world via the seaports. While the impact of these inland terminal on the efficiency of multimodal transportation has recently become more evident, it is relatively challenging to evaluate dry port's performance, as it typically involves with many operations performed by different gate operators with different numbers of container handling equipment (CHE). To properly evaluate dry port's performance, in this paper, a Discrete Event Simulation (DES) model is proposed and implemented in SIMIO modeling platform based on the current data of Ladkrabang Inland Container Depot (LICD), Thailand. According to our results, we have found that, currently, all CHE types at the LICD are not well utilized, especially the internal trucks, as the frequency of trains arriving at the LICD is still far too few. We also find that the utilization of CHE does not significant change as we vary the proportion of cargo transported by trains to trucks from 30:70 to 50:50, while maintaining total container flow. As such, we suggest that gate operators should form a CHE sharing agreement in order to improve CHE efficiency, and so the LICD's, which would be crucial for their survivability, especially after the post pandemic."
    },
    "036eval": {
        "Title": "A refactoring approach for too large packages using community detection and dependency-based impacts",
        "Abstract": "\u00a9 2019 Association for Computing Machinery.Architecture smells are poor design of architectural structures which reveal negative impacts on software quality and increase risks of bugs and implementation problems in the future. Previous research defines and proposes various architecture smells and each one affects software quality in different aspects. Architecture refactoring is a process that removes an architecture smell and improves quality of system without any changes in system behavior. However, removing one of the architecture smells may cause creating of another smell in the system which directly affects software quality. This research proposes a refactoring approach for Too Large Packages smell which is one of the architecture smells by using community detection in extracting process. This process uses for extracting the package which is identified as Too Large Packages smell into small ones and avoids additional impacts from newly appeared dependency-based architecture smells by focusing on Unstable Dependency smell. The proposed approach provides feasible solution to resolve impact from Too Large Packages smell which can be evaluated by comparing number of detected architecture smells and software metrics of before and after refactoring process."
    },
    "037eval": {
        "Title": "Ternary composite films of natural rubber, cellulose microfiber, and carboxymethyl cellulose for excellent mechanical properties, biodegradability and chemical resistance",
        "Abstract": "\u00a9 2021, The Author(s), under exclusive licence to Springer Nature B.V.Fast and facile preparation of composite films containing natural rubber and Eucalyptus cellulose microfiber was achieved by the addition of carboxyl methyl cellulose to yield advantage properties such as chemical resistance, biodegradability and excellent tensile strength. It was found that carboxyl methyl cellulose can be employed as pre-agglomeration stabilizer to obtain high dispersion of hydrophilic cellulose fibers in hydrophobic natural rubber latex. The incorporation of cellulose fibers into the natural rubber matrix significantly improved the crystallinity of the composite films. At the highest loading content of cellulose at 50% w/w, the uptake toluene of the film was reduced to only 5%, whereas its tensile strength was increased to 100 times higher than the neat rubber film. Thermal stability was decreased slightly, depending on cellulose fiber loading content, but the glass transition temperature remained constant at about \u2212 64 \u00b0C. According to the hydrophilic nature of cellulose, the water absorption capacity and water vapor transmission of the composite films were enhanced. In addition, it was shown that the biodegradability was considerably improved; the composite films degraded sufficiently in soil within 2 weeks."
    },
    "038eval": {
        "Title": "Lithium promotion in ethanol oxidative dehydrogenation over Al- modified Ag/Montmorillonite clays",
        "Abstract": "\u00a9 2019 Elsevier B.V.The oxidative dehydrogenation (ODH) of ethanol over Ag and AgLi catalyst anchored on unmodified and modified (aluminated) montmorillonite (MT) clay was studied. The results indicate that AgLi formulations anchored on aluminated MT were effective for acetaldehyde production, while unmodified formulations favored ethylene production. Characterization studies indicate that the catalyst activity is regulated by the crystalline size of the silver clusters and the amount of weak basic sites present in the support. The synergism observed is rationalized in terms of a Ag re-dispersion mechanism probed through operando and in situ UV\u2013vis analysis."
    },
    "039eval": {
        "Title": "Process development of sustainable biorefinery system integrated into the existing pulping process",
        "Abstract": "\u00a9 2020 Elsevier LtdThe change of paper consumption trend may jeopardize the future of pulp and paper industry. This work aims to design and develop the integrated network of biochemical and biofuel productions into existing pulp mills for sustainable purposes. The systematic methodology aided by computation tools is undertaken using the three-stage approach including process synthesis, design and innovation. Previously, the optimal technologies of the biorefinery-integrated pulping processes were successfully determined in the synthesis stage providing the highest cost-effective incorporation; 48 million USD/year of profit was estimated according to the integration of succinic acid and dimethyl ether productions into the soda pulping process. Herein, the process designs of the integrated processes were performed followed by evaluations of the process performances and identifications of the hot spots and targets for establishments of the innovations. In this work, the biomass gasification option is designed and implemented to enhance the material and energy utilizations in the previously determined biorefinery-integrated pulping processes. Electricity and biofuel are produced and sold, which contributes positively to the economic and environmental impacts of these processes. The hot spots and targets are subsequently identified prior to the innovation stage. According to this stage, the cleaner alternatives that implements the CO2 utilization via methanol synthesis and solar cell installations are selected in order to minimize the CO2 emission. A net CO2 reduction of 42% is achieved when the cleaner alternatives are applied. Accordingly, these biorefinery-integrated innovations are not only conducive to the enhanced sustainability of existing pulp mills but also adaptive in response to the change of paper consumption trend."
    },
    "040eval": {
        "Title": "Three-level Classification of Air Conditioning Energy Consumption for Building Energy Management System Using Data Mining Techniques",
        "Abstract": "\u00a9 2019 IEEE.More than 50 percent of energy consumption in building in Thailand are from Air Conditioning (AC). This paper presents the concept of three-level AC energy consumption for Building Energy Management System (BEMS) using data mining framework. The core of this method is based on a combination of unsupervised and supervised learning techniques. K-means is used to determine levels of energy consumption, while decision tree is used to map the relationship between energy consumption level and key variables. A case study, using data from Chulalongkorn University's Building Energy Management System (CU-BEMS), is presented. Finally, the result of the method will be used to develop an algorithm for AC automatic control for energy saving."
    },
    "041eval": {
        "Title": "Lower bound solutions for undrained face stability of plane strain tunnel headings in anisotropic and non-homogeneous clays",
        "Abstract": "\u00a9 2019 Elsevier LtdIn this paper, the face stability of plane strain tunnel heading in anisotropic and non-homogeneous clays is investigated by the lower bound (LB) finite element limit analysis (FELA) with second-order cone programming (SOCP). New LB solutions of the problem are numerically derived and described by the set of the dimensionless parameters consisting of the stability load factor, the cover-depth ratio, the normalized overburden pressure, normalized strength gradient, and anisotropic strength ratio while failure mechanisms associated with these parameters are also discussed and compared. The computed LB solutions are validated with the existing results of isotropic strengths confirming the accuracy and correctness of the solutions. Based on a nonlinear regression, the new design equations for the stability load factor and factor of safety for plane strain headings in anisotropic and non-homogeneous clays are first time proposed for assessing the undrained stability of relatively long-wall tunnels particularly considering the effects of strength anisotropy and non-homogeneity."
    },
    "042eval": {
        "Title": "Applying Text Mining for Classifying Disease from Symptoms",
        "Abstract": "\u00a9 2018 IEEE.Nowadays, misdiagnoses account for a significant portion of medical errors [1]. This is due to the fact that each physician's diagnosis is different depending on the physician's knowledge, skill, and experience. In several cases, physicians may ignore uncommon diseases. Also, after the diagnosis, the physician has to provide ICD-10-CM code. This is a difficult process for most (if not all) physicians. We propose a predictive model for classifying disease from symptoms by applying text mining technique. Our research technique allows physician to diagnose and to access an ICD-10-CM code directly from symptoms. Our models are based on several classifiers such as Decision Tree, Na\u00efve Bayes, Support Vector Machine, and Neural Network. Models from each classifier were compared using training time, predicting time, Receiver Operating Characteristic (ROC) curve, True Positive Rate (TPR), False Positive Rate (FPR), precision and accuracy. The result suggests that Neural Network gives the best TPR at 89.03%."
    },
    "043eval": {
        "Title": "Burned brick production from residues of quarrying process in Thailand",
        "Abstract": "\u00a9 2019 Elsevier LtdIn Thailand, the residues of the quarrying process are classified as industrial waste. The residues can block the drainage system, causing the country's flooding problem. This research focused on producing burned bricks for construction with the utilization of the residues. In this experiment, the residues and clay were mixed at different ratios:0%, 40%, 50%, 60%, 70%, and 80% by weight, and then burned at different temperature levels: 900 \u00b0C, 1000 \u00b0C, and 1100 \u00b0C.The results showed that the condition of 50%\u201360% content of the residues, burned at 1000\u20131100 \u00b0C gave the high compressive strength of 42.50\u201343.67 MPa.The 40%\u201360% residues mixed with clay could increase the compressive strength, which was 1.5 times greater than the case of clay (or 0% residue). In addition, at burning 1000\u20131100 \u00b0C had caused the sintering process to result in high compressive strength."
    },
    "044eval": {
        "Title": "Numerical Simulation of the Disintegration of an Aqueous Drop under Electric Field",
        "Abstract": "\u00a9 1965-2012 IEEE.Electrocoalescence is an industrial application of high voltage for separating an aqueous phase from an oil phase using electric field to promote the aggregation of aqueous drops. The thickness of the oil film between drops decreases and ruptures. As a consequence, the drops coalesce together. However, if the electric field is too high, the resultant drop deforms and disintegrates, reducing the efficiency of the electrocoalescence process. In this work, a multiple-physic simulation is performed to determine the critical electric field that causes the disintegration of an aqueous drop. The configuration is an aqueous drop, located on a grounded electrode in an insulating oil under an electric field. We numerically analyze the deformation and disintegration of a drop under the applied electric field using the finite element method. We use the level set method to track the interface between the aqueous drop and the insulating oil. The results show that the aqueous drop elongates due to the electric force and starts to deform under 0.36 kV/mm electric field. The elongation and the deformation of drop increase with the electric field. Eventually, the aqueous drop completely loses its stability at the critical field value, which is equal to 0.9 kV/mm. An experiment is conducted to observe the disintegration of drop. The experimental results demonstrate that the drop disintegration occurs at the average electric field of 1.02 kV/mm, slightly higher than the critical field obtained from the simulation."
    },
    "045eval": {
        "Title": "A novel catalyst of Ni hybridized with single-walled carbon nanohorns for converting methyl levulinate to \u03b3-valerolactone",
        "Abstract": "\u00a9 2018 Elsevier B.V.\u03b3-valerolactone (GVL) is a fine chemical which is widely used as a green solvent, a fuel additive and a green fuel. It can be produced from lignocellulosic biomass and its derivatives, such as methyl levulinate (ML) via catalytic hydrogenation reaction. In this work, novel hybrid materials of Ni nanoparticles and single-walled carbon nanohorns (Ni/CNHs) synthesized from gas-injected arc-in-water (GI-AIW) method was used as catalysts for producing GVL from ML. Effect of surface modification, oxidation and reduction of Ni/CNHs on their catalytic activity was investigated. For comparison of catalytic activities, Ni on other carbon supports prepared by the conventional wet impregnation and unsupported Ni catalysts were examined. X-ray diffractometry (XRD), transmission electron microscopy (TEM), field-emission scanning electron microscopy (FE-SEM), N2 sorption, thermogravimetric analysis (TGA), Hydrogen-temperature-programmed reduction (H2-TPR), and Fourier Transform Infrared (FT-IR) spectroscopy were employed for elucidating different characteristics of all examined catalysts. It was found that reduced oxidized Ni/CNHs exhibited the highest catalytic performance with 96% conversion of ML, 90% yield, and 93% selectivity of GVL."
    },
    "046eval": {
        "Title": "Natural antimicrobial lignin in polyvinyl alcohol and polyvinylpyrrolidone film for packaging application",
        "Abstract": "\u00a9 2018 Trans Tech Publications, Switzerland.Lignin was extracted from sugarcane bagasse using alkali treatment process. The antimicrobial activity of sugarcane bagasse lignin (LNB) was evaluated against two pathogenic bacteria, Staphylococcus aureus and Escherichia coli by broth dilution method. The MIC and MBC values of LNB are 10,000 \u00b5g/ml and 20,000 \u00b5g/ml, respestively in both pathogenic bacteria. The composite film between polyvinyl alcohol (PVA) and polyvinylpyrrolidone (PVP) blending with LNB at five different amounts (1%, 3%, 5%, 10% and 15%) were produced by solvent casting. The chemical interactions of composite films were investigated using FTIR. The IR spectra indicates the formation of strong intermolecular hydrogen bonds between the hydroxyl groups of PVA or PVP and lignin. Furthermore, the overall migration was investigated. The migration results revealed that the PVA films blending with lignin up to 3% and the PVP films blending with lignin up to 5% could be considered suitable for application in fatty food packaging field."
    },
    "047eval": {
        "Title": "Fictitious flux observer for sensorless control of synchronous reluctance motors considering magnetic cross -coupling effects",
        "Abstract": "\u00a9 2019 IEEE.This paper extends the previously proposed position and speed estimator for synchronous reluctance motors which is based on the fictitious flux concept by taking into consideration the magnetic cross-coupling effects. Definition of the fictitious flux has been modified to include also the cross-coupling flux, and a new expression for the motor model is introduced. A globally stable flux observer is then derived, along with the rotor position and speed estimator by a vector phase-locked loop. Theoretical results are verified by simulation carried out under various operating conditions to confirm stability and performance of the sensorless drive using the proposed estimator."
    },
    "048eval": {
        "Title": "Cloud-based Machine Learning Framework for Residential HVAC Control System",
        "Abstract": "\u00a9 2021 IEEE.Occupant behavior prediction has become a significant part of smart building technologies. This research emphasizes on HVAC (Heating Ventilation and Air Conditioning) system as its operation is crucial in terms of both energy usage and user comfort. In previous researches, comfort prediction is developed using the filled questionnaires from occupants. The prediction output is employed to control the mechanical components of the system. On/Off control is mostly developed using rule-based distance triggering that turns on/off the system when occupants enter/exit a specific perimeter. This article proposes a plug-And-play HVAC control system with an adaptive cloud machine learning (ML) framework that utilizes room current ambient conditions together with the historical adjustment log to automatically adjust room temperature according to the user comfort using Support Vector Classification (SVC). This system can also turn on air conditioner automatically using predictive control which implements GPS location and the occupant's data on the Artificial Neural Network (ANN). Furthermore, cloud deployment can solve problems in processing power and storage of an end device, also provide scalability for future development. Findings show that an adaptive algorithm in the ML framework can perform well, even when the occupant's behavior changes slowly."
    },
    "049eval": {
        "Title": "Polyhydroxyalkanoate production using two-stage continuous stirred tank activated sludge systems with glycerol as a carbon source",
        "Abstract": "\u00a9 2019 Society of Chemical IndustryBACKGROUND: Polyhydroxyalkanoate (PHA) is a biopolymer that can be used as a biodegradable plastic. The incorporation of PHA production into wastewater treatment processes is a promising strategy for resource recovery. This study investigated PHA production in two-stage continuous stirred tank reactor (CSTR)-activated sludge (AS) systems fed with synthetic wastewater containing glycerol. The effects of the hydraulic retention time (HRT) ratios of the first and the second stages, which reflects the feast/famine ratio, at 0.04, 0.15, and 0.33 were examined. RESULTS: The PHA accumulation and PHA consumption patterns under feast/famine conditions were successfully achieved in systems operated at HRT ratios of 0.04, 0.15, and 0.33 with influent glycerol concentrations of 3000 mg COD/L. Then, the sludge from these systems was tested for PHA accumulation in fed-batch reactors. Maximum PHA contents of 21.8 wt%, 13.1 wt%, and 8.7 wt% were obtained for the sludge from the systems operated at HRT ratios of 0.04, 0.15, and 0.33, respectively. From the microbial community analysis via 16S rRNA gene amplicon sequencing (MiSeq, Illumina), the relative abundance of betaproteobacteria decreased, whereas the relative abundances of alphaproteobacteria and gammaproteobacteria increased after cultivation in the two-stage CSTR AS systems. CONCLUSION: The highest PHA accumulation was achieved at the lowest HRT ratio of the first and the second stages in the two-stage CSTR AS systems. This study serves as an example of integrating PHA production into wastewater treatment systems, which enables us to apply the concept of resource recovery from wastewater. \u00a9 2019 Society of Chemical Industry."
    },
    "050eval": {
        "Title": "Image classification of sugar crystal with deep learning",
        "Abstract": "\u00a9 2021 IEEE.Nowadays, artificial intelligent control is essential to replace experienced workers. The correct classification of sugar crystals during the production process is the basis for the control of the sugar crystallization process. Correct Classification of sugar crystals is the basis necessary for automatic control of process. This research uses the principles of deep learning using a neural network to identify the crystallization of sugar from the actual production process of sugar factories in Thailand. Performance was measured and compared with the Fine-Tuning VGG16 model. It was accurate to identify sugar crystals between 82% and 92% of four classes sugar crystal images classified by the crystallization conditions. The results of this study also show that this model is more accurate than other models. It can be used as a benchmark for monitoring the crystallization of sugar production processes. It is also the basis of an artificial intelligent control system based on transcribing human expertise."
    },
    "051eval": {
        "Title": "Fabrication of high-density microneedle masters towards the commercialisation of dissolving microneedles",
        "Abstract": "\u00a9 The Institution of Engineering and Technology 2017.Recent progress of dissolving microneedles opens up a great potential for the utilisation of microneedles in a wide range of applications. However, the commercialisation of dissolving microneedles requires mass production of microneedle masters and moulds. In this work, a simple, low-cost and high-throughput fabrication method of high-density microneedle masters is presented. The high-density microneedle masters were fabricated by first machining an aluminium workpiece to form high-density rectangular column arrays using wire-cut electrode discharge machining. Subsequently, the rectangular column arrays were subjected to a chemical etching under a mass-transport limited condition resulting in the formation of conical-shaped microneedle masters without the need of etch mask. For demonstration, the fabricated microneedle masters were used as a template for the fabrication of an inverse polymer mould and subsequently the polymer mould was used for the fabrication of silk microneedles. The proposed method offers a simple, low cost and high throughput means for the mass production of high-density microneedle masters towards the commercialisation of dissolving microneedles."
    },
    "052eval": {
        "Title": "Performance of a Monofiber Optical Probe in Determining the Droplet Size and Velocity in Spray Systems Compared with a High-Speed Camera",
        "Abstract": "Copyright \u00a9 2019 American Chemical Society.Optical fiber probe has been recently developed for characterizing the liquid dispersed in gas in droplet form, but its performance has yet been identified for an actual spray system. This work aims to compare the performance of a monofiber optical probe in characterizing the hydrodynamics in spray systems with that of a high-speed camera. Initially, both techniques determined the same series of droplets produced by a syringe. The droplet velocities and sizes obtained from the optical probe were in accordance with the high-speed camera when the droplet coalescence was filtered out from the data. Second, a full-cone spray nozzle was used and the average velocities from the two techniques were close, but the off-center collision on the probe and the difference in size limits caused the discrepancy in the size determination. However, the probe is still beneficial to determine the droplet hydrodynamics and local liquid fraction, the essential characteristics of a spray system."
    },
    "053eval": {
        "Title": "Phospholipid-induced silk fibroin hydrogels and their potential as cell carriers for tissue regeneration",
        "Abstract": "\u00a9 2019 John Wiley & Sons, Ltd.Silk fibroin (SF) hydrogels can be obtained via self-assembly, but this process takes several days or weeks, being unfeasible to produce cell carrier hydrogels. In this work, a phospholipid, namely, 1,2-dimyristoyl-sn-glycero-3-phospho-(1\u2032-rac-glycerol) sodium salt (DMPG), was used to induce and accelerate the gelation process of SF solutions. Due to the amphipathic nature and negative charge of DMPG, electrostatic and hydrophobic interactions between the phospholipids and SF chains will occur, inducing the structural transition of SF chains to the beta sheet and consequently a rapid gel formation is observed (less than 50 min). Moreover, the gelation time can be controlled by varying the lipid concentration. To assess the potential of the hydrogels as cell carriers, several mammalian cell lines, including L929, NIH/3T3, SaOS-2, and CaSki, were encapsulated into the hydrogel. The silk-based hydrogels supported the normal growth of fibroblasts, corroborating their cytocompatibility. Interestingly, an inhibition in the growth of cancer-derived cell lines was observed. Therefore, DMPG-induced SF hydrogels can be successfully used as a 3D platform for in situ cell encapsulation, opening promising opportunities in biomedical applications, such as in cell therapies and tissue regeneration."
    },
    "054eval": {
        "Title": "The mutual solubility of organic-liquid membrane and aqueous phases at different water pH for the stability of SLM using Aliquat 336 as an ionic-liquid extractant",
        "Abstract": "\u00a9 2019 Elsevier B.V.Regarding supported liquid membrane (SLM), the mutual solubility of both the organic and aqueous phases has an influence on its stability. Investigation into causes of mutual solubility is very important to prevent instability of the system. This work focuses on the influence of water pH as regards the solubility and stability of SLM. For the organic phase, ionic-liquid extractant viz. Aliquat 336, combining with various organic solvents, was used. As for the aqueous phase, acidic, neutral and basic water was prepared. The solubility of the liquid-liquid ternary systems (adjusted pH water + Aliquat 336 + organic solvents) was carried out at T = 303.2 K and atmospheric pressure. Tie-line data of the ternary systems were also determined. Good correlation of tie-line data from the NRTL model and experiments was confirmed and validated by the root-mean square deviation values which were <2%. For SLM stability, response surface methodology combined with Box-Behnken design was applied to obtain optimal conditions for platinum extraction and stripping. The stability of the system was observed under the different feed pH and optimal conditions."
    },
    "055eval": {
        "Title": "Transforming activity network diagram with timed petri nets",
        "Abstract": "\u00a9 2019 IEEE.Activity network diagram is typically used in the project management for identifying activities and their dependencies. It is essential for project manager and as a tool to consistently estimate the usage of project time and resources. However, the massive numbers of activities and their complicated dependencies remains difficult to be verified manually. We intend to use a timed Petri net to formally represent the existing massive tasks in the activity network diagram to make it easier for verification. The relationship types between the activities are correctly defined with no conflict in the project plan. The timed Petri net would ease the simulation of the control flows and dependencies among the activities in the project. Moreover, there exist several timed Petri nets simulation and animation tools for the incident investigation and verification. In this paper, we propose a set of rules to map the elements of an activity network diagram into the associate timed Petri nets. The basic four dependency types - finish-to-start, start-to-start, finish-to-finish, and start-to-finish, between activities are handled with care. The resulting timed Petri nets are correctly generated and verified by the simulation tool."
    },
    "056eval": {
        "Title": "Performance of electrokinetic remediation system for mercury contaminated marine sediment: Roles of electrode spacing and electrode configuration",
        "Abstract": "\u00a9 2023 Elsevier LtdUnderstanding mercury (Hg) species existing after electrokinetic remediation (EK) for marine-sediment remediation is limited. Herein, the Hg fraction removal of EK from contaminated marine sediment was investigated appertaining to bipolar electrode settings along with the effects of electrode spacing and configuration considered. Based on the selective sequential Hg extractions (Hg SSE), much of the Hg in the sediment originated from F5 (i.e., HgS) and F4 (i.e., HgO). The F5 fraction removed by EK was about 30 %, while the F4 fraction had a slight increase of about 34 %. When it comes to electrode configuration, a hexagonal pattern has a higher Hg removal performance than that of a rectangular shape. The addition of anodes increases the remediation surface area, thus allowing superior Hg removal. This study indicates that the electrode spacing significantly affects the mercury removal and the remediation time. Determining suitable spacing enhances the electrical potentials in the migration flux."
    },
    "057eval": {
        "Title": "Development of automated platform for image capturing and counting algorithm for viral plaque",
        "Abstract": "\u00a9 2019 Association for Computing Machinery.Automatic analyzing tools are essential for biomedical research such as evaluating quantitation of virion. Counting dengue 96-well plaque assay with automated analysis system is one of the interesting and important applications since it can reduce researchers\u2019 burden and help researchers analyze the results quickly. Thus, automated platform for image capturing and counting algorithm for viral plaque have been developed. The automated platform for image capturing consists of xy-table, which have work space of 220 mm x 220 mm,accuracy of 0.05 mm, and vertical z-axis for image focusing. With the automated platform, each well of 96-well plate can be automatically captured with high resolution. Next, the counting algorithm is a program for counting and analyzing the images. The algorithm is developed from Halcon library. The results show that the accuracy of the counting algorithm is good enough for the application. Moreover, with this system, there is no additional process of nontransparent liquid to achieve contrast-enhanced image during image capturing. Thus, this system can reduce workload of researchers during assay preparation."
    },
    "058eval": {
        "Title": "Deep learning image-based defect detection in high voltage electrical equipment",
        "Abstract": "\u00a9 2020 by the authors.The increase in the internal temperature of high voltage electrical instruments is due to a variety of factors, particularly, contact problems; environmental factors; unbalanced loads; and cracks in the high voltage current transformers, voltage transformers, insulators, or terminal junctions. This increase in the internal temperature can cause unusual disturbances and damage to high voltage electrical equipment. Therefore, early prevention measures of thermal anomalies in equipment are necessary to prevent high voltage equipment failure that might shut down the whole grid system. In this article, we propose a novel non-destructive approach to defect analysis in high voltage equipment by taking advantage of the infrared thermography and the deep learning (DL) approach from the machine learning paradigm. The infrared images of the components were captured using the FLIR T630 without disturbing the operations of the power grid. In the first stage, rich features maps from the convolutional layers of the AlexNet pretrained model were extracted. After feature extraction, the random forest (RF) and support vector machines (SVM) were trained for learning of the defective and non-defective high voltage electrical equipment. In an experimental analysis, the RF optimally learned the separation between defective and non-defective equipment with greater than 96% accuracy, outperforming all the other comparative approaches for deep and nondeep features. The proposed approach based on the RF is reliable and shows its efficacy for fault detection in high voltage electrical equipment."
    },
    "059eval": {
        "Title": "Investigation of the crack healing performance in mortar using microbially induced calcium carbonate precipitation (MICP) method",
        "Abstract": "\u00a9 2019 Elsevier LtdThis study presents the feasibility of using bacterial cells to repair of the existing cracks within the cement mortar. Bacillus sphaericus (LMG 22257) has been used to produce microbially induced calcium carbonate precipitation (MICP) for crack closing. The healing agent were externally applied to the cracked mortar specimens by dropping the bacteria and urea solutions daily. After 20 days of treatment, the MICP-treated sample showed 43% higher compressive strength than that of cracked sample. In addition, it is comparable in terms of water tightness to control mortar made without artificial crack."
    },
    "060eval": {
        "Title": "Fabrication of lightweight concrete composites using natural fibers in Thailand",
        "Abstract": "\u00a9 2018 Trans Tech Publications, SwitzerlandThis study developed lightweight concretes by using three different natural fibers from agricultural industries in Thailand which were corn husk fiber, bagasse fiber and coconut husk fiber. Low cost lightweight concretes in this study were fabricated using Ordinary Portland Cement type-1, coal fly ash, un-treated natural fibers and NaOH-treated natural fibers. The specimens were tested for bulk density, compressive strength, microstructure and deterioration. The result showed that the strongest concrete composite was obtained using 30 vol% fine coconut husk fiber in the concrete composition. The treated fibers showed an improvement in surface adhesion between cement matrix and fibers which resulted in higher compressive strength value."
    },
    "061eval": {
        "Title": "Effect of preparation method on the Pt-In modified Mg(Al)O catalysts over dehydrogenation of propane",
        "Abstract": "\u00a9 2019 Elsevier B.V.The Pt-In modified Mg(Al)O catalysts were prepared by co-precipitation, co-impregnation, and successive impregnation methods with Pt and In loading at 0.3 and 0.6 wt.%, respectively. The catalysts were tested in the propane dehydrogenation at 550 \u00b0C and atmospheric pressure. Pt loading on In-modified Mg(Al)O support prepared by co-precipitation (Pt/Mg(In)(Al)O) exhibited the highest catalytic performances with initial propane conversion and propylene selectivity of 24.2%.and 98.2%, respectively. As revealed by the H2-TPR and XPS results, the Pt/Mg(In)(Al)O exhibited a stronger metal-support interaction and favorable led to more PtIn alloy formation compared to those obtained by the other methods, which greatly enhanced the catalytic performance and stability. Coke formation was significant reduced on all the prepared bimetallic PtIn catalysts, especially coke on the active metal, which diminished the catalytic deactivation. The catalysts were also characterized by CO chemisorption, transmission electron microscopy (TEM), NH3-temperature program desorption (NH3-TPD)."
    },
    "062eval": {
        "Title": "Feature-based and Deep Learning-based Classification of Environmental Sound",
        "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-Iearn 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]."
    },
    "063eval": {
        "Title": "A mathematical model for double layer precast production scheduling",
        "Abstract": "\u00a9 2017 IEEE.This paper involves a precast production with double layer in identical parallel molds. The precast production consists of 5 processes to be produced sequentially. Each process requires a specific resource that must be shared among molds except the curing process which does not require any resources. There are 5 concrete formulas for considering that do not effect on the precast quality. Nevertheless, each formula results in different costs and different processing time. The more expensive formula requires the shorter processing time. We propose an MIP model to select formulas and schedule all jobs to finish within due date."
    },
    "064eval": {
        "Title": "Financial Impact Assessment of Construction Delay in BOT Infrastructure Projects",
        "Abstract": "\u00a9 2020 American Society of Civil Engineers.In Thailand, a PPP arrangement called build-operate-transfer or BOT is commonly employed for large-scale infrastructure projects. The life cycle of BOT arrangement can be divided into three phases: the design phase, the construction phase, and the operation phase. In this paper, the focus is on the construction phase since it appears to be the phase with the highest level of risk. Several studies have also found that many large-scale infrastructure projects experienced a chronic problem of construction delay, some of which even led to contract termination. In a PPP setting, the consequences of construction delay can be more acute and thus worth studying. The objective of this research is therefore to evaluate financial impacts resulting from construction delay. Financial model of a hypothetical BOT infrastructure project will be employed in this study. Risk analysis using Monte Carlo simulation will also be performed in order to identify level of risk exposed by the project sponsor. The results of this study may provide an insight into how construction risk shall be mitigated and managed by both the public sector and the private sector so as to create a fair and robust BOT contract in the future."
    },
    "065eval": {
        "Title": "Approximation of positive integer in double-base number system with a single term",
        "Abstract": "\u00a9 2018 IEEE.The double-base number system (DBNS) designed for parallel computing which has an advantage in arithmetic operations especially for multiplication and addition. Many exponential properties and identity rules had been proposed in order to simplify arithmetic operations. Unfortunately, division seem to have many disadvantages in the case that a denominator contains many terms. A single term representation for any number is investigated in this work. We proposed an approximation algorithm for reducing a number of terms, especially for an integer. We also proposed a division algorithm together with the proof of correctness. Finally, reduction of an operation time is shown to be realized using a preprocessing table. We expect the idea of this paper may be useful for future works which are related to some researches in hardware design or computer architecture."
    },
    "066eval": {
        "Title": "Photocatalytic activity of Nitrogen and Silica doping on TiO2 nanocatalyst and grafted onto PMMA film",
        "Abstract": "\u00a9 2018 Elsevier B.V.In this paper, N-doped and Si-doped TiO2 nanocatalyst as powder and grafted onto PMMA film have been prepared and tested for the photocatalysis toward methylene blue dye under UV and visible light irradiation. The samples were characterized by using X-ray diffraction (XRD), N2-physisorption, UV-visible spectroscopy (UV-vis), X-ray photoelectron spectroscopy (XPS), electron spin resonance (ESR), scanning electron microscope with energy dispersive X-ray (SEM-EDX) and photoluminescence (PL). The kinetic were used to investigate the performance of grafted film of modified materials compared with pristine TiO2 grafted onto PMMA film. The results showed that, kinetic constant parameter of modified TiO2 were improved both as powder and grafted film."
    },
    "067eval": {
        "Title": "Subject-Independent Emotion Recognition during Music Listening Based on EEG Using Deep Convolutional Neural Networks",
        "Abstract": "\u00a9 2019 IEEE.Emotion recognition during music listening using electroencephalogram (EEG) has gained more attention from researchers, recently. Many studies focused on accuracy on one subject while subject-independent performance evaluation was still unclear. In this paper, the objective is to create an emotion recognition model that can be applied to multiple subjects. By adopting convolutional neural networks (CNNs), advantage could be gained from utilizing information from electrodes and time steps. Using CNNs also does not need feature extraction which might leave out other related but unobserved features. CNNs with three to seven convolutional layers were deployed in this research. We measured their performance with a binary classification task for compositions of emotions including arousal and valence. The results showed that our method captured EEG signal patterns from numerous subjects by 10-fold cross validation with 81.54% and 86.87% accuracy from arousal and valence respectively. The method also showed a higher capability of generalization to unseen subjects than the previous method as can be observed from the results of leave-one-subject-out validation."
    },
    "068eval": {
        "Title": "Rice Husk-Derived Silica as a Support for Zirconocene/MMAO Catalyst in Ethylene Polymerization",
        "Abstract": "\u00a9 2018, Springer Nature B.V.Abstract: Rice husk is an agricultural waste abundantly available from rice production. It was due to the high content of silica (SiO2) inside rice husk, burning it under the control condition provides ash with the silica content up to 97% which can be simultaneously or consequently extracted to obtain rice husk-derived silica (RHS). In order to valorize the RHS, in this study it was used as a support for zirconocene/MMAO catalyst in ethylene polymerization, compared with commercial silica (CMS). It was found that rice husk-derived silica (RHS) has a larger surface area and lower amount of impurities than CMS. After immobilizing MMAO cocatalyst onto the silicas, it was observed that both silicas exhibit good distribution of MMAO all over the particles, but RHS has a higher content of MMAO. When using both silicas in the polymerization systems, it was observed that RHS gave a higher catalytic activity to the polymerization system than CMS (202 and 150 kg pol/mol Zr h). This is due to RHS having the lower amount of impurities especially Na2O which remains only in CMS from the production of commercial silica. The polymer obtained from the polymerization system with RHS has a good morphology suggesting that RHS still retains the advantage of providing a polymer with a good morphology as same as the conventional silica supports. Graphical Abstract: [Figure not available: see fulltext.]."
    },
    "069eval": {
        "Title": "A Common-Mode Voltage Reduction for Two-Stage Three-Phase Transformerless PV Inverters",
        "Abstract": "\u00a9 2018 IEEJ Industry Application Society.This paper presents a common-mode voltage cancellation method for two-stage transformerless string PV inverters. The exact common-mode equivalent circuit is firstly modeled to exhibit simultaneously the instantaneous common-mode voltages of boost DC-DC converter and three-phase two-level inverter. The selection of zero voltage for PWM inverter is then proposed in order to pave the way for common-mode voltage cancellation. The simulation results show the accuracy of exact common-mode model. In addition, the common-mode voltages can moderately cancel each other out, and the leakage current of the overall system is significantly attenuated."
    },
    "070eval": {
        "Title": "LED Luminaires Selection for Thailand Typical Roadway Construction and Road Lighting Hierarchy",
        "Abstract": "\u00a9 2023 IEEE.Road lighting standard in Thailand, however is still based on illuminance values which do not reflect the actual amount of light from road surface into drivers' eyes or luminance values. As a result, there is a need to revise Thai road lighting standard. Thai Industrial Standard Institute (TISI) has officially announced to use Thai recommendation for lighting of roads for motor and pedestrian traffic, TIS 2954 based on CIE 115 in 2019. This is the first step for such a revision on road lighting standard in Thailand. Three road classes; Motorized traffic (M), Conflict areas (C) and Pedestrian and low speed areas (P) classes were studied and classified based on PD CEN/TR EN 13201-1. Seven test sites were selected: four M lighting classes (M1 to M4), two C lighting classes (C1 and C2) and one P lighting class (P2) were used as case studies. Luminaires with high pressure sodium (HPS) lamps have been initially evaluated and then LED luminaires have replaced HPS luminaires and evaluated for comparisons based on important parameters in EN 13201-2 and -3. Measuring lighting performance was performed based on EN 13201-4 using an Imaging Luminance Measuring Device (ILMD) and illuminance photometer (class L). Energy performance indicators which are power density indicator (DP) and annual energy consumption indicator (DE) based on EN 13201-5 were calculated and compared. Average road surface luminance (Lav), overall uniformity of luminance (Uo), longitudinal uniformity (Ul), threshold increment (fTI), surround ratio (Rs) and average illuminance (E) values are within the lighting criteria provided in EN 13201-2 for M and C lighting classes. Minimum maintained horizontal illuminance (Eh), maintained horizontal illuminance (Emin) and threshold increment values are within the lighting criteria provided in EN 13201-2 for P lighting class. Illuminance values from the design using ReluxDesktop program match actual measurement values with acceptable discrepancies for all lighting classes. Finally, a new concept of lighting system configuration and classification has been developed."
    },
    "071eval": {
        "Title": "Estimation of granger causality of state-space models using a clustering with gaussian mixture model",
        "Abstract": "\u00a9 2019 IEEE.An estimation of brain dynamical models not only can provide a characteristic of brain dynamics but estimated parameters can also infer brain networks that explains relationships among brain regions. This paper provides a scheme of discovering a brain connectivity using the Granger causality concept that is characterized on state-space models. A Granger inference matrix is implicitly derived from the state-space system matrices where its nonzero entries infer a directional dependence of the corresponding brain regions. Determining significant entries of a Granger matrix cannot be done in a straightforward way due to a lack of known statistical distribution of the inference measure. For this reason, we propose a scheme of clustering between significant and insignificant entries of a Granger matrix based on the use of Gaussian mixture models (GMMs). Our idea relies on the assumption of having a sufficient number of estimated Granger inference matrices and the use of central limit theorem to claim that the sample means of estimated Granger inference matrices converge to a Gaussian. As a result, the distribution of the vectorization of the sample mean matrices is similar to a mixture of Gaussians which can be clustered by the estimated posterior probabilities. Insignificant entries of Granger inference matrix is clustered to the Gaussian component with the lowest mean and then are inferred as no Granger causality. We illustrate the idea by simulation results based on several ground-truth Granger causality patterns derived from state-space equations."
    },
    "072eval": {
        "Title": "Analysis of seismic ground response caused during strong earthquake in Northern Thailand",
        "Abstract": "\u00a9 2018 Elsevier LtdThis paper presents a site-specific analysis of ground response during the Tarlay Earthquake on March 24, 2011 in Northern Thailand. In this study, the NGA (Next Generation Attenuation) models were selected to predict ground motions due to the earthquake event. The equivalent linear and non-linear approaches were employed in the one-dimensional ground response analysis. Furthermore, the spectral responses produced by the equivalent linear and non-linear approaches were compared with the seismic design code of Thailand. The results showed that the ground motion from the NGA models agree with the strong motion parameters of Tarlay Earthquake. Peak ground acceleration (PGA) at ground surface obtained from both equivalent linear and non-linear approaches certainly results in the high amplification factor. In general, the study results could bring an attention to the local engineer to consider the seismic design value for Northern Thailand, particularly if the stronger earthquake happens in the future."
    },
    "073eval": {
        "Title": "Anti-phase domain induced morphological differences of self-assembled InSb/GaAs quantum dots grown on (0\u202f0\u202f1) Ge substrate",
        "Abstract": "\u00a9 2019The effects of growth temperature, growth rate and local growth position on the morphology of self-assembled InSb/GaAs quantum dots (QDs) on (0 0 1) Ge substrate are investigated. It is found that for low growth rates, anti-phase domain (APD) boundaries formed during the growth of GaAs on Ge can effectively act as the preferential nucleation position of InSb QDs. For high growth rates, InSb/GaAs QDs nucleate on both the APD boundary and the APD surface, leading to high density-InSb QDs. The QD morphologies on the APD boundary and the APD surface are distinctly different. The roles of growth rate and local growth position on the morphology of realized QDs are described. By varying the growth conditions, low density and locally aligned QDs as well as high density InSb QDs can be obtained."
    },
    "074eval": {
        "Title": "Design of output feedback nonlinear model predictive control for inverted pendulum on cART",
        "Abstract": "\u00a9 ICROS.This paper presents designing of output feedback nonlinear model predictive control (NMPC) for nonlinear systems. NMPC employs the state feedback and updates the control input at each sampling step. The control design of NMPC is formulated as optimal control which requires the information of states of the process. However, in practice, we can measure only some states of the process. This paper aims to use the state observer to estimate the unknown states and use them as feedback for NMPC. We apply output feedback NMPC to inverted pendulum on cart. Numerical results show the response of output feedback NMPC asymptotically converges to that of state feedback NMPC."
    },
    "075eval": {
        "Title": "Development of IoTcloudServe@TEIN Smart-Energy@Chula Service Gateway: Case Study of Secured On-Demand Building Energy Management System Data Platform Using NETPIE",
        "Abstract": "\u00a9 2019 IEEE.This paper proposes a framework for implementing Smart-Energy@Chula system of IoTcloudServe@TEIN by using NETPIE security mechanisms. IoTcloudServe@TEIN project aims to integrate networked collaborative efforts of research and educational communities in the Trans-Eurasia Information Network (TEIN). Smart-Energy@Chula service has been developed on the earlier completed so-called CU-BEMS (Chulalongkorn University's Building Energy Management System) testbed with the technical support of CUBEMS IEEE1888 protocol server engine which aims not only to show on-site energy management automation but also raise people awareness. In practice, building automation system can use CU-BEMS cloud, which allows the sharing of function or micro-service resources, for real-time decision-making algorithm. For cloud enhancement, we also require a new channel means to enable the secured on-demand sharing of CU-BEMS OpenData repository via a herein socalled interworking service gateway. The development of the interworking service gateway in this research thus enhances the building energy management to be compliant with different communication protocols, which could be useful for researchers and manufacturers in the future."
    },
    "076eval": {
        "Title": "Low Loss ultra-compact Mach-Zehnder Modulator on Lithium Niobate Photonic Wire",
        "Abstract": "\u00a9 2019 The Institute of Electronics, Information and Communication Engineers (IEICE).An new design of ultra-compact Mach-Zehnder modulator (MZM) with five parallel coupled waveguides power divider and combiner has been proposed for lithium niobate photonic wire platform. The major characteristics of MZM has been analyzed in comparison with conventional structure of MZM by using beam propagation method."
    },
    "077eval": {
        "Title": "Experiment on interfacial tension measurement of oil from Fang oilfield with alkaline flooding",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.Owing to the increasing world-energy demand, oil as the main source of energy, will be produced more by using technology especially alkaline flooding, one of the main enhanced oil recovery methods to produce more oil. It involves the injection of alkaline that can react with the petroleum acid to form an in-situ surfactant to reduce the interfacial tension between displacing and displaced phases and reduce the residual oil saturation, leading to the higher oil production. In Fang oilfield, Thailand, light oil production can be increased by using chemicals to reduce interfacial tension of oil and water. In this study, sodium carbonate is used as alkali to lower the interfacial tension with various conditions. Therefore, the objectives of this work are to measure the interfacial tension and to evaluate the effects of parameters such as concentration, pressure, temperature and salinity on interfacial tension reduction for oil from Thailand. The results present the effects of alkaline concentration on the interfacial tension. Also, the alkaline solution can reduce the interfacial tension significantly. Because, the alkaline can from the in-situ surfactant with the acid in oil to reduce the interfacial tension down to 0.6 mN/m. Temperature is also one of the parameters that affects the interfacial tension in the opposite direction. The increment of temperature would reduce the interfacial tension. The salinity has an effect on the interfacial tension in the same direction. The effects of these three parameters would reduce the interfacial tension. On the other hand, pressure has relatively less effect of IFT reduction. The results of this work can apply to increase more oil production for Fang oilfield with the optimum conditions."
    },
    "078eval": {
        "Title": "Digital Fabrication of a 3D Object using Fixtureless Assembly",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.Digital fabrication is the kind of the manufacturing process expected to be the next industrial revolution due to its capability converting a digital model into a physical object with fully-automated operation of manufacturing. Although the assembly operation of mass-produced components gives relatively higher cost effective, it is still unprepared for the digital fabrication in practise, unlike the subtractive or additive operation. This research proposes the minimal-required robotic system and process enabling the digital fabrication using the assembly operation done at fixtureless location. The robotic system comprises a SCARA robot, a vacuum gripper, a ram extruder, a USB camera, and MATLAB\u00ae on a personal computer. The calibrations giving the required kinematic correlations, and the pose estimation capacitating the fixtureless location operation, are also described in this paper. The necessary process are product designing, product cell-decomposition, and product assembly. In result, the fully-automated assembly of a 3D object is successfully done at fixtureless location in about three minutes and haft which is short compared with using the subtractive or additive operation. This research gives promise of applying the digital fabrication using the assembly operation at fixtureless location for practical applications, such as building and repairing of furniture, constructive structure, and etc."
    },
    "079eval": {
        "Title": "Influence of anisotropic properties on vertical vibrations of circular foundation on saturated elastic layer",
        "Abstract": "\u00a9 2018 Elsevier LtdIn this paper, the influence of anisotropy material properties on vertical vibrations of rigid circular foundation resting on a transversely isotropic poroelastic layer with finite thickness and a rigid base is studied. The contact surface between foundation and saturated layer is smooth, and either permeable or impermeable. This dynamic interaction problem is investigated by employing a discretization technique and the Hankel integral transform method. The proposed numerical solution scheme is validated with existing solutions, and selected numerical results are presented to portray the influence of anisotropic properties and other parameters on the vertical compliance of the foundation."
    },
    "080eval": {
        "Title": "Effect 3A and 5A molecular sieve on alcohol-assisted methanol synthesis from CO2 and H2 over Cu/ZnO catalyst",
        "Abstract": "\u00a9 2021 Hydrogen Energy Publications LLCLow-temperature methanol synthesis from CO2 and H2 was carried out using ethanol as a catalytic solvent. The alcohol-assisted method reduced synthesis temperature and enhanced methanol yield (33.80%) at 150 \u00b0C (5.0 MPa, Cu/ZnO catalyst). However, ethyl acetate and water were generated as byproducts from the reaction. The byproducts formed azeotrope mixture with methanol and led to a complex product purification. Therefore, in this study, molecular sieves (MS) were introduced to adsorb the byproducts. The effect of different MS (3A and 5A) was studied. It was found that MS helped enhancing methanol yield. The highest methanol yield (42.8%) was obtained when adding MS_3A to adsorb water. The MS_5A could separate methanol and ethyl acetate, providing high methanol purity. The effect of operating conditions was also investigated. When reducing temperature to 130 \u00b0C, methanol yield decreased but methanol selectivity (>98%) significantly increased. Controlling temperature and using MS could help enhance the yield and selectivity of methanol."
    },
    "081eval": {
        "Title": "Photoluminescence properties as a function of growth mechanism for GaSb/GaAs quantum dots grown on Ge substrates",
        "Abstract": "\u00a9 2019 Author(s).In this work, we use photoluminescence (PL) spectroscopy to investigate how self-assembled GaSb/GaAs quantum dots (QDs) depend on their growth mechanism. Carrier transfer (i.e., carrier recombination in QDs and escape through the barrier layer) is investigated as a function of excitation-power- and temperature-dependent PL measurements. A drastic blueshift of the QD peak energy from 1.23 to 1.30 eV and a further shift to 1.33 eV reveal the influence of the GaSb growth rate and the growth temperature on the optical properties of these QDs. The thermal activation energy is extracted from the temperature-dependent PL by fitting the integrated PL intensity of the QD peaks to the Arrhenius relation. The QDs grown at the growth rate of 0.1 monolayers/s at 450 \u00b0C have higher thermal activation energy (109 meV) than those grown at a lower growth rate and higher QD growth temperature. The observed PL characteristics are discussed in terms of QD size, uniformity of QDs, and material intermixing occurring during QD growth on the buffer layer and capping layer."
    },
    "082eval": {
        "Title": "Experimental study of dual fixed bed biochar-catalytic gasification with simultaneous feed of O2-steam-CO2 for synthesis gas or hydrogen production",
        "Abstract": "\u00a9 2018 Hydrogen Energy Publications LLCThe catalytic gasification of biochar was investigated in the presence of a Ni/SiO2 catalyst in a fixed bed reactor with an O2-steam-CO2 gas feed. The effects of operating temperature, catalyst nickel loading and composition of O2-steam-CO2 feed gas on biochar carbon conversion and gas products were investigated. The results indicate that the highest biochar carbon conversion could be obtained at approximately 800 \u00b0C, whilst the 10% Ni/SiO2 catalyst was shown to produce the greatest syngas yields. The presence of O2 in the feed gas can result in slightly more CO in the gas product, whilst a higher steam content leads to more H2 in the gas product. The CO2 offered a benefit as an adjusting agent for achieving a desired H2/CO ratio. No evidence of coke deposition on the catalyst was found under any of the tested conditions."
    },
    "083eval": {
        "Title": "Evaluation of contribution of PV array and inverter configurations to rooftop PV system energy yield using machine learning techniques",
        "Abstract": "\u00a9 2019 by the authors.Rooftop photovoltaics (PV) systems are attracting residential customers due to their renewable energy contribution to houses and to green cities. However, customers also need a comprehensive understanding of system design configuration and the related energy return from the system in order to support their PV investment. In this study, the rooftop PV systems from many high-volume installed PV systems countries and regions were collected to evaluate the lifetime energy yield of these systems based on machine learning techniques. Then, we obtained an association between the lifetime energy yield and technical configuration details of PV such as rated solar panel power, number of panels, rated inverter power, and number of inverters. Our findings reveal that the variability of PV lifetime energy is partly explained by the difference in PV system configuration. Indeed, our machine learning model can explain approximately 31% (95% confidence interval: 29-38%) of the variant energy efficiency of the PV system, given the configuration and components of the PV system. Our study has contributed useful knowledge to support the planning and design of a rooftop PV system such as PV financial modeling and PV investment decision."
    },
    "084eval": {
        "Title": "Antibiotic resistant bacteria and genes in shrimp aquaculture water: Identification and removal by ferrate(VI)",
        "Abstract": "\u00a9 2021 Elsevier B.V.Enclosed shrimp culturing ponds are breeding environments for the spread of antibiotic resistant bacteria (ARB) and antibiotic resistance genes (ARGs) in the aquatic environment. This paper surveyed the presence of antibiotics, ARB, and ARGs in aquaculture waters and demonstrated their removal by ferrate (Fe(VI), FeO42-). Tetracyclines were the most prevalent antibiotics, followed by quinolones and \u03b2-lactam. The bacterial resistance rates to three antibiotics were ordered as follows: amoxicillin (AMX) > oxytetracycline (OTC) > enrofloxacin (ENR). Proteobacteria, Verrucomicrobia, and Bacteroidetes were the predominant phyla, while sul1 and sul2 were the predominant ARGs. sul2 was positively correlated with Proteobacteria. Water quality parameters significantly influenced the dissemination of tetracycline resistance genes in aquacultures due to high organic waste accumulation. The removal efficiency of antibiotics by Fe(VI) depended on the structural moieties of antibiotics, with phenol-containing antibiotics more thoroughly oxidized (i.e., OTC) than amine-containing (ENR and AMX) antibiotics. Greater removal of antibiotics in aquaculture waters suggested that the constituents of farming water enhances the efficacy of antibiotics removal by Fe(VI). An acidic pH environment enhanced Fe(VI) inactivation of ARB over the circumneutral pH. The presented results are intended to improve aquaculture managing practices to minimize the antibiotic proliferation in aquaculture waters and the environment."
    },
    "085eval": {
        "Title": "Form-stable benzoxazine-urethane alloys for thermally reversible light scattering materials",
        "Abstract": "\u00a9 BME-PT.Thermally reversible light scattering (TRLS) materials based solely on benzoxazine-urethane (BA-a/PU) alloys were successfully fabricated and demonstrated in this work. The alloys displayed the opaque state below 40 \u00b0C. The alloys were transformed to the transparent state upon exposing to the transition temperature of 60\u2013130 \u00b0C, depending on the molecular weights and mass concentrations of urethane prepolymers in the BA-a/PU alloys. The optical state transitions were reversible with small hystereses. BA-a/PU alloys exhibited a good optical contrast with 0%T at the light scattering state and almost 100%T at the transparent state. The alloys were glassy and form-stable up to 250 \u00b0C, due to the synergistic behavior in the glass transition temperatures. The reaction-induced phase separation effectuated by the incorporation of urethane prepolymer into thermosetting polybenzoxazine, the sizes and local concentrations of the phase-separated urethane microdomains in the supporting polybenzoxazine matrix, and the reversible dissolution and demixing of urethane microdomains and polybenzoxazine phase played crucial roles on TRLS properties of the developed benzoxazine-urethane alloys."
    },
    "086eval": {
        "Title": "TiO2-nanoparticles Coated Forward Osmosis Membranes for Enhanced Filtration of Textile Effluent",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.Textile wastewater has been recognized as one of significant industrial wastewater sources due to its complex composition and the presence of reactive constituents such as heavy metals and salts as well as nutrients, e.g. nitrogen, sulphate and phosphate. In this research, the combination of forward osmosis with photocatalytic method was analytically considered for the recycling of textile effluent after biological treatment process. The research aims to study the feasibility in application of TiO2-nanoparticles coated on two commercially accessible FO membranes; an aquaporin (AqP) membrane and a cellulose triacetate (CTA) membrane by the way of a specially designed 3-(trimethoxysilyl) propyl methacrylate-polymethyl methacrylate-bromide (MEMO-PMMA-Br) monomer chain as a novel forward osmosis treatment method. High efficiency of reactive dye rejection of 99.9% could be achieved with this novel FO process with the use of 1 M NaCl as the draw solution, while varying reactive dye (black) at concentrations of 200, 400, 600, 800 ppm in the synthetic textile effluent. The obtained water fluxes of both FO membranes suggested that the achievement of the CTA membrane was incredibly improved after surface modification than that of AqP membrane with the increase in average fluxes of 18.03% and 11.83%, respectively. The experiments also suggested that CTA membrane gives higher water flux than aquaporin membrane for forward osmosis filtration for synthetic textile effluent. Moreover, effect of interferences in terms of dissolved anions on reactive dye removal efficiencies by the TiO2-nanoparticles coated FO membranes were also investigated."
    },
    "087eval": {
        "Title": "Feature reduction on fuzzy SVM-based coding unit decision in HEVC",
        "Abstract": "\u00a9 2018 IEEE.This paper proposes a feature reduction approach on a fuzzy SVM-based Coding Unit (CU) size decision method in a recent video encoding standard, High Efficiency Video Coding (HEVC). The proposed feature reduction approach with Rate Control (RC) can reduce computational complexity by eliminating some correlated features of a fuzzy SVM-based CU size decision method under a similar coding efficiency. According to the empirical results, our approach can achieve up to 3% of Time Saving (TS) under the same RD performance over a fuzzy SVM-based approach."
    },
    "088eval": {
        "Title": "Lewis acid transformation to Bronsted acid sites over supported tungsten oxide catalysts containing different surface WOx structures",
        "Abstract": "\u00a9 2019The transformation of Lewis acid sites to new Bronsted acid sites under hydrogen at 40 \u00b0C and atmospheric pressure on WO3/SiO2 and WO3/Al2O3 catalysts with various tungsten oxide loading (1, 5, 9, and 12 wt%) was investigated by the in situ DRIFTS of adsorbed NH3. The degree of Lewis acid transformation on WO3/SiO2 was higher than on WO3/Al2O3 because the weaker interaction between WO3 and SiO2 showed higher hydrogen accessibility as revealed by the H2-TPR and H2-TPD results. Moreover, Pt co-catalyst with supported tungsten oxide catalyst could enhance hydrogen uptake on WO3 catalyst, leading to higher Lewis acid transformation. However, the investigation of surface WO3 structures were observed by XRD, FT-Raman, UV\u2013vis, and TEM to be the key point for allowing the Lewis acid transformation. After Lewis acid transformation, isolated tetrahedral WO3 were stable whereas octahedral polytungstate and crystalline WO3 decreased, converting to W4+ and W5+. The decreasing of crystalline WO3 after Lewis acid transformation was also found to be correlated well with the hydrogen uptake. Therefore, Lewis acid transformation on supported WO3 preferentially occurred on crystalline WO3 than on octahedral polytungstate WO3 and isolated tetrahedral WO3, respectively."
    },
    "089eval": {
        "Title": "High-Temperature Air Synthesis: A Facile Approach to Nitrogen-Doped, Metal-Free Carbon Electrocatalysts",
        "Abstract": "\u00a9 2023 Wiley-VCH GmbH.This study presents a novel, straightforward method for synthesizing hierarchical nitrogen-doped carbon structures, positioning metal-free, carbon-based materials as potential substitutes in electrochemical reactions such as oxygen reduction reaction (ORR) and hydrogen evolution reaction (HER). The unique method involves a single-step pyrolysis process in an air atmosphere, eliminating the need for an inert atmosphere and pre-treatment procedures. It enables simultaneous self-templating and heteroatom doping, resulting in oxygen-rich functional groups embedded in the nitrogen-doped carbon structure. We also crafted a carbon structure without heteroatom doping, comparing its electrochemical performance in ORR and HER. Our findings indicate that carbon catalysts pyrolyzed at higher temperatures have more pyridinic N, functional groups, and active sites- factors conducive to electrochemical reactions. We tested the air-synthesized electrocatalysts for ORR in alkaline electrolyte and employed the optimized nitrogen-doped carbon catalyst, pyrolyzed at 700 \u00b0C in an air atmosphere, as cathode material in a zinc-air battery. This catalyst demonstrated ORR performance comparable to the commercial Pt/C catalyst and showed minimal overpotential in acidic HER. Our research establishes a pioneering technique for synthesizing porous, metal-free, nitrogen-doped carbon materials, paving the way for potential energy applications."
    },
    "090eval": {
        "Title": "Growth and characterization of calcium-doped cesium iodide (CSI:Ca) optical crystals for radiation detection",
        "Abstract": "\u00a9 2019 SPIEIn this research, cesium iodide (CsI) optical crystals have been grown for radiation detectors by homemade Bridgman-Stockbarger method. CsI crystals have been innovated for optical properties by applying techniques of Ca doping and multiple doping of Ca and Tl. As a reference; CsI:Tl crystal was also grown in the identical growth system. The crystal growth was processed under argon atmosphere in a quartz crucible. The composition of dopant was kept a constant of 0.35%wt. X-ray diffraction measurements show that CsI:Tl and CsI(Tl,Ca) crystals have the cubic crystal structure with a dominant (110) plane. But CsI:Ca crystal has two dominant planes of (110) and (211). In addition, photoluminescence (PL) measurements were performed to investigate their optical properties: CsI:Ca and CsI(Tl,Ca) crystals emitted the blue light in a range of 420-450 nm wavelength with two dominant peaks but the orange light emission of 590-nm wavelength from CsI:Tl crystal. To evaluate the efficiency and energy resolution of radiation detection by coupling these CsI scintillators with a photomultiplier tube, the results reveal their different radiation performances due to the main difference in their optical properties about the light emission characteristics. In conclusion, the radiation performance of CsI:Ca scintillator has been still challenge to accomplish with the optimized growth condition and the suitable coupling devices."
    },
    "091eval": {
        "Title": "SDS modified mesoporous silica MCM-41 for the adsorption of Cu2+, Cd2+, Zn2+ from aqueous systems",
        "Abstract": "\u00a9 2020 Elsevier Ltd. All rights reserved.SDS-functionalized mesoporous silica MCM-41, was synthesized and used as adsorbent for remediating toxic metal contamination. The new material was applied to capture the heavy metal ions Cu2+, Cd2+, and Zn2+ from synthetic aqueous solutions. The performance of the hybrid adsorbent was quantified with respect to metal ions removal and its regeneration capability. The results show that equilibrium adsorption of Cd2+ can be achieved within 30 min, whereas removing Cu2+ and Zn2+ requires 1 h of exposure. The adsorption capacity is found to depend on the metal ion, with Cu2+ > Cd2+ >> Zn2+. It was found that the solution pH affects performance: stronger adsorption was observed at neutral than at acidic pH. The hybrid adsorbents can be regenerated up to 6 times by using an acid removal technique in solution. The adsorption capacity at the sixth cycle is 70% of that of the pristine materials."
    },
    "092eval": {
        "Title": "Classification of mobile application user reviews for generating tickets on issue tracking system",
        "Abstract": "\u00a9 2019 IEEE.Mobile application development has now been in the mainstream and a lot of mobile applications have been released to Apple App Store and GooglePlay Store. As there are many applications in the same category and the competition is very high in the market, mobile development teams need to get user feedback on their applications so that they can improve quality of the applications. An important source of feedback is user review on App Store and Play Store from which the developers can analyze problems and recommendations for future maintenance and evolution of the applications. Since there might be a large number of user reviews for each release of a mobile application, this paper proposes an automated approach to classifying user reviews as bug reports or feature requests. These classification results are used as a basis for generating tickets for an issue tracking system, i.e. Jira. In user review classification, text classification, natural language processing, sentiment analysis, and review metadata are used with several machine learning algorithms, i.e. Na\u00efve Bayes, Decision Tree, KNN, LinearSVC, Logistic Regression, and Ensemble methods. The best classifiers for both categories of reviews are used further in an implementation of a Jira ticket generating tool. The tool considers semantic similarity of review comments and can filter out duplicate user reviews. When necessary, the tool applies text summarization to the user review to extract the title of a ticket for the corresponding bug report or feature request. The approach can facilitate the mobile development team in their maintenance task as the developers can pick the tickets and work on them to improve the application in a future release."
    },
    "093eval": {
        "Title": "Performance comparison of different cavitation reactors for biodiesel production via transesterification of palm oil",
        "Abstract": "\u00a9 2018 Elsevier LtdThis study compares performance of different cavitation reactors for biodiesel production from palm oil using homogeneous and heterogeneous reaction systems. In addition, the effect of reaction volume of each reactor type was also investigated. For the smallest reaction volume of 165 mL, homogenizer and 20 kHz ultrasonic reactors offered the highest fatty acid methyl ester yield for both sodium hydroxide and calcium oxide catalysts. When the reaction volume was increased from 165 to 500 and 1000 mL with constant power input (80 W), homogenizer reactor did not significantly alter the rate of fatty acid methyl ester formation, unlike the other reactors which showed the decrease in the reaction rate. The reactor performance was evaluated in term of yield efficiency which was based on the amount of fatty acid methyl ester production, power consumption and reaction time. The increase of the reaction volume increased the yield efficiency of both the cavitation reactors and the mechanical stirred reactor. The highest yield efficiencies of 169.46 \u00d7 10\u22124 and 8.27 \u00d7 10\u22124 g/J were obtained from homogenizer reactor using sodium hydroxide and calcium oxide catalysts, respectively, using the reaction volume of 1000 mL. The homogenizer reactor also shows high flexibility of reaction volume usage with high biodiesel production performance in a batch system."
    },
    "094eval": {
        "Title": "Relationship between compatibilizer and yield strength of PLA/PP Blend",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.The aim of this research is to study the relationship between compatibilizer and yield strength of polylactic acid (PLA) and polypropylene (PP) blend. The PLA is blended with PP (PLA/PP) at the ratios of 70/30, 50/50 and 30/70. In addition, (1) polypropylene grafted maleic anhydride (PP-g-MAH) as a compatibilizer at 0.3 and 0.7 part per hundred of PLA/PP resin (phr) and (2) dicumyl peroxide (DCP) being an initiator at 0.03 and 0.07 phr are added in each composition. Yield strength is characterized to study the interaction between compatibilizer, initiator and yield strength by using experimental design of multilevel full factorial. The results show that (1) the yield strength of PLA/PP blend are increased after addition of compatibilizer. Because the adding of PP-g-MAH and DCP resulted in improving compatibility between PLA and PP. (2) there are interaction between PP-g-MAH and DCP that have affected the final properties of PLA/PP blend. The highest yield strength of 27.68 MPa is provided at the ratio of 70/30 blend by using the 0.3 phr of PP-g-MAH and 0.03 phr of DCP. Linear regression model is fitted and follow the assumptions of normal distribution."
    },
    "095eval": {
        "Title": "Discussion on \u2018\u2018Seismic displacement along a log-spiral failure surface with crack using rock Hoek\u2013Brown failure criterion\u2019\u2019",
        "Abstract": "\u00a9 2018 Elsevier LtdThis discussion is based on the paper by Zhao et al. [4] (hereafter identified as \u201cthe authors\u201d or \u201cthe original paper\u201d). In the original paper, the authors presented a numerical model to calculate the seismic displacement for rock slopes with cracks using the Hoek-Brown yield criterion. For the proposed numerical model, the upper bound limit analysis and rigid block displacement technique were employed in which the actual horizontal and vertical earthquake ground motion records were utilized in the analyses. This discussion addresses the theoretical issues of the computed permanent seismic displacements in conjunction with the upper bound limit analysis using the rigid block displacement technique. In addition, the discussion comments on some issues related to the assumption of using the factor of safety being less than 1 for a calculation of induced seismic displacement under an actual time history of horizontal and vertical accelerations, and the use of fixed crack depth ratios of 0.1 and 0.2 in the parametric studies of the original paper."
    },
    "096eval": {
        "Title": "Rocking vibrations of rigid foundations on multi-layered poroelastic media",
        "Abstract": "\u00a9 2019, \u00a9 2019 Informa UK Limited, trading as Taylor & Francis Group.This paper presents rocking vibrations of a rigid foundation resting on a multi-layered poroelastic half-space. The foundation is assumed to be rigid and massless, and subjected to a time\u2013harmonic moment. In addition, each layer of the multi-layered half-space is governed by Biot\u2019s theory of poroelastodynamics. The contact surface between the foundation and the layered half-space is smooth, and either fully permeable or impermeable. This dynamic interaction problem is studied by employing a discretization technique and an exact stiffness matrix scheme. Comparisons with existing solutions on rocking vibrations of rigid foundations on elastic and poroelastic media are shown to verify the accuracy of the present scheme. Selected numerical results on rocking compliances of rigid foundations of various shapes and mudmat foundations are presented. In addition, a dynamic interaction problem involving closely spaced foundations under rocking vibrations is also presented to demonstrate the applicability of the present solution scheme."
    },
    "097eval": {
        "Title": "Innovative product development of fabric glass interlayer",
        "Abstract": "\u00a9 2018 IEEE.A glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013 but sales had declined in 2016. Customer's survey shows that the satisfaction level decreased due to long production lead time, high-selling price and long installation time. This paper aims to develop a new innovative fabric glass interlayer product by adopting 5D innovation development process. 5D consists of Discover, Define, Design, Develop and Deploy. Firstly, discover phase adopted Five Forces Analysis, Customer Behavior Analysis and Customers Satisfaction Survey for specifying market position and seeking the hidden customers' expectations. Define is to summarize the project charter as initiation step in the project management and to scope resources and timeframe. Design, we adopted the integration of QFD, Kano Model and Product Quality Index for prioritizing and translating customer expectations to product specifications. Then all concepts were concluded by Pugh Matrix, Weighted Sum Score and confirmed the selected concept by financial feasibility study. Develop process is to prototyping to verify the production before scale up. Finally, generated the risk assessment plan by FMEA and contributed the business plan to ensure the effective commercialization in Deploy. The developed fabric glass interlayer shows higher customer satisfaction level by shorten production lead time from 14 days to 8 days (42.85%), lower price from 790 baht/ft2 to 485 baht/ft2(38.61%) and shorten installation time from 180 minutes to 45 minutes (75%)."
    },
    "098eval": {
        "Title": "A UHF Broadband Low-Noise Amplifier for Active Digital TV Antenna",
        "Abstract": "\u00a9 2019 IEEE.A broadband low-noise amplifier has been developed for an active digital TV antenna to operate in the frequency range of 470 - 800 MHz in the UHF band. The amplifier employs a SiGe:C Heterojunction Bipolar Transistor (HBT) and uses shunt negative feedback to achieve relatively flat gain and low return loss over a broad bandwidth. The amplifier prototype is fabricated on the 0.4-mm FR4 substrate. The measured results show that the gain of about 24 dB, the input return loss of better than 11 dB, and the noise figure of less than 1.4 dB are achieved throughout the desired frequency band."
    },
    "099eval": {
        "Title": "Effects of pre- And post-weld heat treatment conditions on microstructures of cast nickel based superalloys GTD-111 in the laser welding process",
        "Abstract": "\u00a9 Carl Hanser Verlag GmbH & Co. KG.This research work aims to study the effects of pre-weld and post-weld heat treatment conditions in the laser welding process on the microstructure of cast nickel based superalloy grade, GTD-111. Pre-weld heat treatment conditions consist of a solution treatment at a temperature of 1473 K for 7.2 ks and three over-aging processes at temperatures of 1393, 1413, 1433 K for 7.2 ks. All as-received and pre-weld heat treated specimens received the same post-weld heat treatment, which consisted of a solution treatment at a temperature of 1473 K for 7.2 ks and precipitation aging at a temperature of 1118 K for 86.4 ks. From the results, it can be seen that the higher temperature of the solution treatment with respect to the pre-weld heat treatment provided coarser gamma prime particles precipitating in a gamma matrix with a more uniform microstructure and very fine gamma prime precipitated particles. Furthermore, when followed by the post-weld heat treatment or standard heat treatment of the alloy, the final microstructures of all as-received and pre-weld heat treated specimens were very similar with regard to uniform gamma prime particles. No significant effect of pre-weld heat treatment conditions on the microstructure was found after post-weld heat treatment."
    },
    "100eval": {
        "Title": "IEEE1888 Bluetooth - Wi-Fi Gateway for BLE Sensor Network",
        "Abstract": "\u00a9 2018 IEEE.This article presents IEEE1888 Bluetooth-Wi-Fi Gateway for BLE Sensor Network that measuring temperature, humidity and light intensity and storing the recorded data to the IEEE1888 storage. Bluetooth Low Energy (BLE) is used to send data from the sensors, 32x32x25mm in size, designed to consume small amount of energy-less than \\pmb{100\\mu\\text{A}} at 2.1V making the sensors sustain for longer than 12 months with power from a 2477 coin cell battery, to the gateway connected to Wi-Fi. Then the gateway sends the data to the IEEE1888 storage using IEEE1888 Standard Protocol which makes the data compatible with other systems utilizing IEEE1888 standard."
    },
    "101eval": {
        "Title": "Thai license plate recognition algorithm with service routine procedure for automatic barrier gate",
        "Abstract": "\u00a9 2019 Association for Computing Machinery.This paper presents a development of a Thai license plate recognition algorithm for an automatic barrier gate. The designed algorithm is developed base on MVTec Halcon image processing library. The algorithm is robust and practical for different environment. Also, this algorithm is developed for a barrier gate at faculty of engineering Chulalongkorn University, Thailand, to authorize the registered cars for entering the faculty. The barrier gate system gives convenience and safety to the drivers and saves cost for the faculty. Base on experiments, the accuracy of license plate segmentation is 100% and the accuracy rate from multilayer perceptron method of the Thai license plate recognition algorithm is 100% due to the number of samples which might not support every type of variation. However, the error could be fixed by service routine procedure. Also, the service routine procedure improves the Thai license plate recognition algorithm by updating training data."
    },
    "102eval": {
        "Title": "A Compact Dual-Broadband Multiple-Input Multiple-Output (MIMO) Indoor Base Station Antenna for 2G/3G/LTE Systems",
        "Abstract": "\u00a9 2019 IEEE.In this paper, we propose a dual-broadband multiple-input multiple-output (MIMO) indoor base station antenna for 2G/3G/LTE systems. The proposed MIMO antenna has a low profile with its overall dimensions of 220 \u00d7 220 \u00d7 42 mm3 and utilizes both spatial and polarization diversities. The antenna operates at 800-960 and 1700-2700 MHz simultaneously, with the return loss of higher than 14 dB across both frequency bands. The isolations of the antenna are 18 and 25 dB, with antenna gains of 3.6 and 7.2 dBi for the lower and upper frequency bands, respectively. The proposed MIMO antenna is designed and fabricated with its practical deployment in mind, such as the durability and overall low cost. Comparing with existing commercial 2G/3G/LTE antennas, our proposed design offers a more compact size and simpler feeding structure."
    },
    "103eval": {
        "Title": "Investigation of a simultaneous silicon-modified pack aluminizing method on pure nickel using quartz and RHA",
        "Abstract": "\u00a9 2018 Trans Tech Publications, Switzerland.This research aims to study the simultaneous silicon-modified pack aluminizing method using silica (SiO2) from Rice Husk Ash (RHA) which contains 99.45% SiO2 in comparison with commercial SiO2 in the form of quartz. Samples can thus be categorized into two groups: quartz-doped and RHA-doped. Simultaneous silicon-modified pack aluminizing of pure nickel was performed at 1000\u00b0C for 4 hours under an argon atmosphere. The pack used in this research was prepared from aluminum (Al), ammonium chloride (NH4Cl), alumina (Al2O3) and silica (SiO2, i.e. quartz and RHA) powder at ratios of 29:2:60:9 by weight, respectively. Post aluminized samples were characterized by glancing incident-angle X-ray diffractometer (GIXD). Quantitative analysis of the layer was performed using energy dispersive spectroscopy (EDS). A scanning electron microscope (SEM) was employed to observe the resulting microstructure. It was found that simultaneous silicon-modified pack aluminizing can be successfully performed by doping RHA and quartz into the pack. The aluminized layer consists of Ni2Al3 and NiAl3 with a small amount of silicon. RHA was found to be more effective than quartz as a silicon source providing a higher amount of silicon in the aluminized layer. Moreover, using RHA successfully forms a silicon-rich interdiffusion layer beneath the typical aluminized layer."
    },
    "104eval": {
        "Title": "A revisit to impulse breakdown voltage of standard air gaps",
        "Abstract": "\u00a9 2018 IEEE.The negative and positive polarity of standard impulse breakdown voltage had been taken to study for 5 cm and 10 cm sphere-gap by taking into account the influence of irradiation and humidity. Gap spacing of 0.5, 1.0, 1.5, 2.0 and 2.4 cm was selected for this investigation. In order to control the atmospheric conditions around the sphere-gap, it was enclosed in a test chamber which was designed to have a negligible effect on electric field distribution across the air gaps. Two different measuring devices were chosen according to the breakdown voltage level to ensure the measurement uncertainty. The results showed that the difference U50 of this present experiment from the value given in the standard generally decrease as the gap spacing increase. And the value of U50 for 5 cm and 10 cm in this experiment tend to be close to each other."
    },
    "105eval": {
        "Title": "Relation extraction between bacteria and biotopes from biomedical texts with attention mechanisms and domain-specific contextual representations",
        "Abstract": "\u00a9 2019 The Author(s).Background: The Bacteria Biotope (BB) task is a biomedical relation extraction (RE) that aims to study the interaction between bacteria and their locations. This task is considered to pertain to fundamental knowledge in applied microbiology. Some previous investigations conducted the study by applying feature-based models; others have presented deep-learning-based models such as convolutional and recurrent neural networks used with the shortest dependency paths (SDPs). Although SDPs contain valuable and concise information, some parts of crucial information that is required to define bacterial location relationships are often neglected. Moreover, the traditional word-embedding used in previous studies may suffer from word ambiguation across linguistic contexts. Results: Here, we present a deep learning model for biomedical RE. The model incorporates feature combinations of SDPs and full sentences with various attention mechanisms. We also used pre-trained contextual representations based on domain-specific vocabularies. To assess the model's robustness, we introduced a mean F1 score on many models using different random seeds. The experiments were conducted on the standard BB corpus in BioNLP-ST'16. Our experimental results revealed that the model performed better (in terms of both maximum and average F1 scores; 60.77% and 57.63%, respectively) compared with other existing models. Conclusions: We demonstrated that our proposed contributions to this task can be used to extract rich lexical, syntactic, and semantic features that effectively boost the model's performance. Moreover, we analyzed the trade-off between precision and recall to choose the proper cut-off to use in real-world applications."
    },
    "106eval": {
        "Title": "Ultrasensitive electrochemiluminescence sensor based on nitrogen-decorated carbon dots for Listeria monocytogenes determination using a screen-printed carbon electrode",
        "Abstract": "\u00a9 2021 Elsevier B.V.Current method for identification of foodborne pathogens suffers from its relatively poor performance, consequently limiting its use. Herein, we first describe an ultrasensitive electrochemiluminescence (ECL) sensor based on nitrogen-decorated carbon dots (NCDs) for Listeria monocytogenes (L. monocytogenes) determination using a screen-printed carbon electrode (SPCE). Citric acid serves as carbon source, and ethylenediamine, a molecule containing nitrogen atom, is employed to synthesize CDs. Approximately 4 nm NCD with homogenous size distribution can be produced via a single step green microwave-assisted methodology. The construction of ECL sensor is initiated by the immobilization of capture antibody (Ab1) onto the carboxyl graphene (GOOH)-modified SPCE, where immunocomplexes (antigen and the NCD-labelled secondary antibody (Ab2-NCD)) are formed, resulting in a substantial increment in the ECL signal response in the presence of K2S2O8. The GOOH allows direct formation of the capture antibodies and enhances the electrochemical properties. Under optimal parameters, this sensor exhibits wide linearity (2 to 1.0 \u00d7 106 CFU mL\u22121), high sensitivity (0.104 or 1.0 \u00d7 10\u22121 CFU mL\u22121) and specificity over the nontargeting studied pathogens and is successfully applied to determine L. monocytogenes in food products. These promising results together with its performance suggest that this proposed platform may serve as an alternative device to effectively control the spread of foodborne diseases."
    },
    "107eval": {
        "Title": "Refactoring orchestrated web services into microservices using decomposition pattern",
        "Abstract": "\u00a9 2018 IEEE.Service-oriented architecture (SOA) is an architectural design of inter-services collaborations. In general, SOA has three major roles, including client, service provider, and service broker. To access a service usually depends on a service broker, which causes inflexibility in system modification. The software industry now focuses more on productivity, flexibility of the constant changes and continuous modifications, for which the SOA style may not be suitable. Therefore, a new microservice style is an alternative serving those needs, which means a microservice unit is more adaptable and replaceable with no ripple effects. Since the microservice architecture design is considered as a collection of the small self-contained services, each service represents a business capability and carries its own isolated data. However, how to identify microservices is still a challenging task in the business process model level. This paper proposes an alternative mean to extract the existing SOA services from the BPEL flow and refactor them into a set of relevant microservices using the decomposition pattern. In our case study, we propose how to do the service refactoring against the business domain profiles collected from the extracted vocabularies from the given business scenarios. The resulting microservices are domain specific and conform to the business capability vocabularies extracted from the given business scenarios."
    },
    "108eval": {
        "Title": "Thermosetting Shape Memory Polymers and Composites Based on Polybenzoxazine Blends, Alloys and Copolymers",
        "Abstract": "\u00a9 2019 The Authors. Published by Wiley-VCH Verlag GmbH & Co. KGaA.When dealing with smart polymers, in particular with shape memory polymers, the polymer type and composition specify the overall material properties and in particular the extent of the shape memory effect. Polybenzoxazines as a polymer with high potential for structural applications represent a promising component for materials with both shape memory effect and structurally interesting material properties. This minireview gives insight into how the shape memory effect, in particular the shape recovery event, is influenced by internal factors such as polymer structure, morphology and external factors such as filler addition."
    },
    "109eval": {
        "Title": "Effect of the addition of ZrSiO4 on alkali-resistance and liquidus temperature of basaltic glass",
        "Abstract": "\u00a9 2018 Trans Tech Publications, Switzerland.Basalt fiber has been used as a reinforced material in cement-based materials because it has higher mechanical strength and cheaper than common silicate based glass-fibers. However, silicate-based glass fibers have low alkali resistance especially in cement matrix composite. In this work, we studied the improvement of alkali resistance by addition of zirconium silicate (ZrSiO4) in original basalt glass composition. The batch of basalt glass with additional ZrSiO4 contents of 0.00, 2.50, 5.00, 7.50 and 10.00 wt% were melted at 1500 \u00b0C. The liquidus temperature (TL) is important in for the fiber glass manufacturing. It need to formulate glass composition which requires a lower melting temperature and is crystallization resistant. TL as a function of composition is usually determined experimentally. In this study, glassy phase was determined by X-ray Diffraction (XRD). The glass transition temperature (Tg), the crystallization temperature (Tc) and TL were analyzed by Differential Thermal Analysis (DTA). The results found that the addition of ZrSiO4 in a basalt glass batch increased Tg while Tc of each sample was closed to original basalt fiber. Moreover, the alkali resistance of these glasses increased with an increasing of ZrSiO4 content. However, excessive ZrSiO4 contents (7.50 and 10.00 wt%) resulted in crystallization of ZrO2 which separated from glassy phase."
    },
    "110eval": {
        "Title": "An input capacitor-less boost converter with variation-tolerant MPPT circuit for thermal energy harvesting",
        "Abstract": "\u00a9 2018 IEEEThis paper presents an input capacitor-less boost converter with a maximum power point tracking (MPPT) circuit for thermal energy harvesting applications. The MPPT circuit is implemented by a fractional open-circuit voltage method with a feedback control circuit to adjust switching frequency of the boost converter until the output power is maximized. The use of a fractional open-circuit voltage method with feedback mechanism make the MPPT highly robust against process variation and component tolerances. Moreover, due to an input capacitor-less feature, the MPPT circuit can fast track the maximum power point (MPP) when input voltage varies. The converter is designed using a 130 nm CMOS technology and uses a thermoelectric generator (TEG) as an input voltage source. Simulation results show a peak efficiency of 68% at 100 mV input voltage and can provide a maximum output voltage of 2.8 V."
    },
    "111eval": {
        "Title": "Alcohol-triggered silk fibroin hydrogels having random coil and \u03b2-turn structures enhanced for cytocompatible cell response",
        "Abstract": "\u00a9 2019 Wiley Periodicals, Inc.Alcohol additive is one of the stimulants that induces the fast gelation of silk fibroin solution. Based on our previous report, different alcohol types influence the gelation kinetic and the properties of resulting silk fibroin hydrogels. Here, the effects of alcohol concentrations on the silk fibroin gelation and cell response were reported. All fibroin hydrogels prepared with various alcohol additives showed cell biocompatibility, especially the fibroin hydrogel prepared with 10 wt % n-butanol. Results on the mechanical properties of hydrogels, n-butanol additive enhanced a higher compressive modulus up to ~ 22 times in comparison to non-alcoholic fibroin hydrogel. Fourier transform infrared analysis and peak deconvolution showed a possible formation of more \u03b2-turn linkage and random coil structure of fibroin segments in alcoholic fibroin hydrogel. So, the micro-segmental structure of fibroin hydrogel caused the higher compressive modulus, prolonged deformation of the hydrogels, and efficient cell growth on the fibroin hydrogel. \u00a9 2019 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2020, 137, 48731."
    },
    "112eval": {
        "Title": "Sales forecasting using ontology",
        "Abstract": "\u00a9 2019 Turkiye Klinikleri Journal of Medical Sciences. All rights reserved.\u2014Sales forecasting typically uses relational database to collect the past sales information for the sales data analysis. The sales data alone may not be sufficient to infer what and why a particular product was sold during any particular time period. We intend to demonstrate how the relevant data sources are additionally connected and utilized on demands. We propose an alternative data model using the ontology technology to demonstrate the relationships among sales data, climate data, and population data. Our resulting ontology model for sales forecasting shows the correlations of multiple dimensional raw data and helps the marketing officer plan when and how to launch the promotion of the product sales. We develop a sufficient software tool to demonstrate our ontology model containing the past sales data, the climate and population data. The resulting test cases shows that the additional data to the sales data is usefully and flexibly handled using the ontology model."
    },
    "113eval": {
        "Title": "An impact of harmonic currents, load levels and ambient temperatures on transformer loss of life",
        "Abstract": "\u00a9 2019 IOP Publishing Ltd. All rights reserved.This paper presents an analysis of thermal effect to transformer. The hottest-spot temperature of winding in transformer indicates the damage of thermal effect. The basic measured data, transformer parameters and ambient temperatures are used for estimating the hottest-spot temperature and transformer life when transformer supplies linear loads and nonlinear loads. The 50 MVA oil-immersed power transformer was investigated with field measurement data at Navanakorn4 substation in Pathum Thani. The results showed load level, harmonic current and ambient temperature are the factors which have impacts on transformer by increasing the hottest-spot temperature. The transformer life when increases the level of these factors is analyzed. When transformer supplies only linear loads, its life does not reduce from specification although load level and ambient temperature are increased. For the case of transformer supplies nonlinear load, harmonic current increases load level and transformer losses. Therefore, transformer life can be reduced when increasing the level of load, harmonic current and the ambient temperature."
    },
    "114eval": {
        "Title": "Analysis of fire-damaged concrete-filled steel tube columns confined with FRP sheets",
        "Abstract": "\u00a9 2019 Published under licence by IOP Publishing Ltd.This paper presents an analysis of fire-damaged circular concrete-filled steel tube (CFST) stub columns confined with fiber-reinforced polymer (FRP) sheets under compression. Three main components in the analysis include (1) 2D heat transfer analysis to predict the temperature distributions in the CFST cross section under ISO-834 standard fire, (2) Post-fire mechanical properties of steel and concrete, and (3) Analytical model that incorporates the confinement effect to predict the load capacity of FRP-confined fire-damaged CFST columns. After validated with existing experimental results, the proposed analysis is employed to investigate the effects of heating period and number of FRP layers on the effectiveness of the FRP confinement method."
    },
    "115eval": {
        "Title": "Coordination between the central control unit and local control function of a photovoltaic system under the uncertainties of sunlight and three-phase unbalanced loads",
        "Abstract": "\u00a9 2021 The Authors. IET Renewable Power Generation published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and TechnologyAt present, high penetration of photovoltaic (PV) systems on low voltage (LV) distribution systems is increasing worldwide because of several favourable conditions, such as government policies, decreasing cost of PV technologies, and environmental awareness. However, varying sunlight and three-phase unbalanced load conditions can result in voltage violation, especially an overvoltage problem, and voltage unbalanced conditions that deteriorate the power quality. Therefore, disconnection of PV systems, especially on the downstream node, can occur due to the overvoltage protection of the PV system, which results in PV owners losing revenue from selling electricity. Moreover, some electrical appliances can be damaged from voltage unbalanced conditions. To support a high PV penetration and prevent these adverse impacts, this study applies a control strategy involving coordination between the Central Control Unit (CCU) and Local Control Functions (LCFs) of PV systems. The CCU applies the Adaptive Tabu Search (ATS) technique to search for the optimal LCF parameter setting of PV systems and adjusted this weekly. The optimization problem is the maximization of real power generation from all PV systems under varying (uncertain) sunlight and three-phase unbalanced loads. MATLAB programming is used for the Newton\u2013Raphson power flow simulation on a modified 19-node distribution system."
    },
    "116eval": {
        "Title": "Effect of Reduction Methods on the Properties of Composite Films of Bacterial Cellulose-Silver Nanoparticles",
        "Abstract": "\u00a9 2023 by the authors.Composite films of bacterial cellulose-silver nanoparticles (BC-Ag) were prepared by different methods of in situ reduction of silver ions, using sodium hydroxide, ascorbic acid, chitosan, and UV irradiation. The effects of the reduction methods on their properties were investigated. The chitosan-reduced composite exhibited dispersed silver nanoparticles (AgNPs) within the nanocellulose matrix with the smallest size, while the ascorbic-reduced composite displayed the largest size. The incorporation of AgNPs tended to reduce the crystallinity of the composites, except for the ascorbic-reduced composite, which exhibited an increase in crystallinity. Mechanical testing revealed that the ascorbic-reduced composite had the highest Young\u2019s modulus of 8960 MPa, whereas the UV-reduced composite had the highest tensile strength and elongation at break. Thermal analysis of BC-Ag composites indicated similar glass transition temperature and decomposition profiles to BC, with additional weight-loss steps at high temperatures. The sodium hydroxide-reduced composite demonstrated the highest electrical conductivity of 1.1 \u00d7 10\u22127 S/cm. Water absorption capacity was reduced by the incorporation of AgNPs, except for the chitosan-reduced composite, which showed an enhanced water absorption capacity of 344%. All BC-Ag composites displayed very strong antibacterial activities against Staphylococcus aureus and Escherichia coli. These results also highlight the potential uses of BC-Ag composites for various applications."
    },
    "117eval": {
        "Title": "Dual Increment Shapelets: A Scalable Shapelet Discovery for Time Series Classification",
        "Abstract": "\u00a9 2020, Springer Nature Switzerland AG.As time series data become more complex and users expect more sophisticated information, numerous algorithms have been proposed to solve these challenges. Among those algorithms to classify time series data, shapelet \u2013 a discriminative subsequence of time series data \u2013 is considered a practical approach due to its accurate and insightful classification. However, previously proposed shapelet algorithms still suffer from exceedingly high computational complexity, as a result, limiting its scalability to larger datasets. Therefore, in this work, we propose a novel algorithm that speeds up shapelet discovery process. Our algorithm so called \u201cDual Increment Shapelets (DIS)\u201d is a combination of two-layered incremental neural network and filtering process based on subsequence characteristics. Empirical experiments on forty datasets evidently demonstrate that our proposed work could achieve large speedup while maintaining its accuracy. Unlike the previous algorithm that mainly emphasizes speedup of the search algorithm, DIS essentially reduces the number of shapelet candidates based on subsequence characteristics. As a result, our DIS algorithm could achieve more than three orders of magnitude speedup, comparing with the baseline algorithms, while preserving the accuracy of the state-of-the-art algorithm."
    },
    "118eval": {
        "Title": "Undrained stability of unsupported rectangular excavations in non-homogeneous clays",
        "Abstract": "\u00a9 2019 Elsevier LtdSolutions for the undrained stability of unsupported excavations are important in practice as they can be used for assessing the safety of temporary excavations associated with various civil works. Even though the previous stability solutions of unsupported excavations namely infinitely long trenches and circular excavations are available in the literature, there is a lack of the stability solution of unsupported rectangular ones. In this paper, the lower bound solutions for the undrained stability of unsupported rectangular excavations in non-homogeneous clays are presented for the first time. A three-dimensional lower bound finite element limit analysis is developed in order to investigate the stability of this problem. The undrained shear strength of non-homogeneous clays are considered as a linearly increasing one with depth. The effects of aspect ratios of rectangular excavations, excavated depth ratios, and normalized strength gradients on the stability number of the problem and its associated failure mechanisms are examined parametrically. A new design equation of the problem is also firstly presented for practical use by practising engineers."
    },
    "119eval": {
        "Title": "InSb/InAs quantum nano-stripes grown by molecular beam epitaxy and its photoluminescence at mid-infrared wavelength",
        "Abstract": "\u00a9 2019 Elsevier B.V.Distinct InSb/InAs quantum nano-stripes possessing type-II band alignment with a broken gap are grown using molecular beam epitaxy with low substrate temperature and slow growth rate, aiming for light emission in a mid-infrared range. The quantum nano-stripes are shown to emit light at a wavelength of 3.1 \u00b5m. The excitation power dependence of photoluminescence spectra from the quantum nano-stripes reveals a clear linear blueshift with the third root of the excitation power, which is a unique property of the quantum nanostructures with type-II band alignment. The demonstrated mid-infrared light emission from the InSb/InAs quantum nano-stripes would offer a promising pathway for realizing practical, highly-efficient, and room-temperature-operating mid-infrared light sources and detectors."
    },
    "120eval": {
        "Title": "Stability enhancement of mulberry-extracted anthocyanin using alginate/chitosan microencapsulation for food supplement application",
        "Abstract": "\u00a9 2017 Informa UK Limited, trading as Taylor & Francis Group.The stability of mulberry-extracted anthocyanin is a main concern in food supplement application. In this article, the alginate/chitosan beads were fabricated by spray drying and external gelation techniques using different processes: (1) dropping a sodium alginate solution into a CaCl2 solution containing chitosan and (2) incubating calcium alginate beads in a solution of chitosan. These beads were introduced as microcarrier to enhance the stability and bioavailability of anthocyanin. We showed that the beads fabricated by different processes could encapsulate the anthocyanin at different amounts. All alginate/chitosan beads had high swelling percentage under pH 6 and 7.4 but not completely swell at pH 1 and 4. The alginate/chitosan beads degraded in a simulated gastric fluid condition (SGF) in the faster rate than that in a simulated intestinal fluid condition (SIF). Under SGF condition, the release of anthocyanin seemed to be governed by electrostatic interaction while the release of anthocyanin under SIF condition may be manipulated by the beads\u2019 degradation. Herein, we showed that the beads produced by incubating calcium alginate beads in 0.05% chitosan solution were the most appropriate microcarriers for encapsulation of mulberry-extracted anthocyanin which showed high encapsulation efficiency and had resistance to gastric condition."
    },
    "121eval": {
        "Title": "A simple approach to dynamic material balance for a dry-gas reservoir",
        "Abstract": "\u00a9 2021, The Author(s).The dynamic material balance methodology can be used to estimate gas initially-in-place using only production and PVT data. With this methodology, reservoir pressure is obtained without requiring the well to be shut in; it is therefore superior to the static material balance method since there is no loss of production. However, the technique requires iterative calculations and numerical integration of gas pseudotime and is quite complex to implement in practice. A simpler and equally accurate methodology is proposed in this study. It requires only production and PVT data and also does not rely on a shut-in pressure survey. In addition, it requires neither iterative calculations nor numerical integration of gas pseudotime. The results of the analysis include gas initially-in-place and gas productivity index, and can easily be extended to production forecasting. Gas initially-in-place is evaluated with a high degree of reliability. The methodology is successfully tested with two simulated cases and one field case, giving high-accuracy results."
    },
    "122eval": {
        "Title": "New and green extraction of mercury(I) by pure sunflower oil: Mechanism, kinetics and thermodynamics",
        "Abstract": "\u00a9 2021 Taiwan Institute of Chemical EngineersTo protect the environment from hazardous metals and promote a benign extraction method for society, pure sunflower oil is newly applied to extract mercury (Hg(I)) from synthetic water. Optimal conditions of influencing parameters have been determined via the process of solvent extraction. Its extraction mechanism is investigated, applying both theory and analysis. In addition, the reaction order and rate constant of Hg(I) extraction are obtained. Following the natural logarithm of the Arrhenius equation, the reaction rate constant, as a function of temperature, is examined. Thermodynamic parameters have also been calculated in order to identify the phenomena of extraction. Furthermore, the extraction of Hg(I) from other metals in industrial wastewater has been carried out."
    },
    "123eval": {
        "Title": "Optimal Overbooking Decision for Perishable Resources with Jointly Stochastic Booking and Show-up Requests",
        "Abstract": "\u00a9 2018 IEEE.Overbooking is a methodology in revenue management to optimize important decision making for perishable resources or services with uncertain demand. Overbooking allows an incoming booking to be accepted in exceedance of an available capacity because it is believed that some booking will be cancelled later. It is a complicated and risky decision since the decision maker needs to minimize both outsourcing cost and opportunity-lost cost simultaneously. When there are two classes of resources, it is not necessary to always outsource the insufficient and Iow-priced resources. Upgrading customers to high-priced resources is possible. The objective of this research is to develop overbooking models for (1) one class of resources and (2) two classes of resources (ie, high and low price) to minimize total cost i. e., opportunity cost, cost of upgrading and outsource cost). The main contribution of this research is that, unlike other existing literatures, the opportunity cost considered is specifically identified in the situation where too much booking request rejection of each type of resources is present. Sensitivity analysis of our model is also shown for managerial insights."
    },
    "124eval": {
        "Title": "State-space model estimation of EEG time series for classifying active brain sources",
        "Abstract": "\u00a9 2018 IEEE.Electroencephalography (EEG) signals are known to be generated from the current source signals occurring inside human brains and these sources may or may not be active concurrently at a certain time. This paper aims to classify active and inactive sources from the information that can be inferred from parameters of a dynamical model that captures characteristics of EEG time series. We propose a state-space model for explaining coupled dynamics of the source and EEG signals where EEG is a linear combination of sources according to the characteristics of volume conduction. Our model has a structure that the sparsity pattern of the model output matrix can indicate the position of active and inactive sources. With this assumption, the proposed estimation method consists of two steps. Firstly, a subspace identification method is performed to estimate the dynamic matrix of the model and the mapping matrix from the state variable to EEG output. Secondly, the estimation of the output matrix in the state-space model from the mapping matrix is solved by a group lasso problem to promote a sparsity pattern. As a result, nonzero rows of the output matrix represent active source that corresponding to EEG data. We verify the performance of our method on randomly generated data sets that represent realistic human brain activities in a fair setting. An acceptable accuracy of 95 - 98% is obtained with a suitable selection of a problem parameter and a thresholding process to discard small magnitudes of the output matrix."
    },
    "125eval": {
        "Title": "Fast Coding Unit Encoding Scheme for HEVC Using Genetic Algorithm",
        "Abstract": "\u00a9 2013 IEEE.High efficiency video coding (HEVC) is the newest video codec to increase significantly the coding efficiency of its ancestor H.264/Advance Video Coding with the aids of its new features, such as the quadtree-based coding unit partitioning, a simple deblocking filter, and other advanced coding techniques. However, the HEVC delivers a highly increased computation complexity, which is mainly due to the exhaustive rate distortion optimization search of quadtree-based coding unit partitioning. In this paper, a coding unit partitioning pattern optimization method based on a genetic algorithm is proposed to save the computational complexity of hierarchical quadtree-based coding unit partitioning. The required coding unit partitioning pattern for exhaustive partitioning and the rate distortion cost are efficiently considered as the chromosome and the fitness function of the genetic algorithm, respectively. To reduce the computational time, coding unit partitioning patterns of the key frame are searched and shared to other consecutive frames by taking into account the highly temporal correlation. Our evaluation results show that the proposed method can achieve 62.5% and 16.7% computational complexity reduction on average with a negligible average quality degradation compared with HM16.5 and state-of-the-art support vector machine-based fast algorithm, respectively, under low-delay P configuration with rate control while 64.1% and 15.1% under low-delay configuration with rate control."
    },
    "126eval": {
        "Title": "Measurement of CO2 absorption in a 4 m aqueous solution of 3-amino-1-propanol for CO2 removal",
        "Abstract": "Copyright \u00a9 2018, AIDIC Servizi S.r.l.Carbon dioxide (CO2) emission into the atmosphere causes environmental concern. The main sources of CO2 come from industries such as power generation. The current technology to remove CO2 effectively is carbon capture and storage or CCS especially absorption with aqueous amine solutions. The commonly used amine solutions are monoethanolamine (MEA) and methyldiethanolamine (MDEA). They have some disadvantages like low capacity and high energy consumption. A new solvent such as 3-amino-1-propanol (AP) has been designed to be used as an alternative solvent for CO2 removal. This solvent should provide the absorption and cyclic capacities close or higher than the commercial ones. The objective of this research is to measure the CO2 absorption in a 4 M aqueous solution of AP at the temperature from 303.15 K to 353.15 K and CO2 partial pressures ranging from 5 to 100 kPa and the absorption results of CO2 in AP solution are compared with that of aqueous solution of MEA. From the experiment, the results present that AP at 4 M provides the performance relatively close to that of MEA. The cyclic capacities of AP are relatively lower than that of MEA for 26.83 and 2.73 % for CO2 partial pressure at 15 and 100 kPa. The absorption capacity of AP is higher when CO2 partial pressure increases and reduces as temperature increases. AP can be considered as an alternative solvent for CO2 removal at high CO2 partial pressure. Other properties like kinetics, mass transfer, energy penalty for solvent regeneration as well as other criteria have to be investigated for AP before it can be used for commercial purposes."
    },
    "127eval": {
        "Title": "Laundry detergency of solid non-particulate soil using microemulsion-based formulation",
        "Abstract": "\u00a9 2018 by Japan Oil Chemists\u2019 Society.Laundry detergency of solid non-particulate soil on polyester and cotton was investigated using a microemulsion-based formulation, consisting of an anionic extended surfactant (C12,13-4PO-SO4Na) and sodium mono-and di-methyl naphthalene sulfonate (SMDNS) as the hydrophilic linker, to provide a Winsor Type III microemulsion with an ultralow interfacial tension (IFT). In this work, methyl palmitate (palmitic acid methyl ester) having a melting point around 30\u2103, was used as a model solid non-particulate (waxy) soil. A total surfactant concentration of 0.35 wt% of the selected formulation (4:0.65 weight ratio of C12,13-4PO-SO4Na:SMDNS) with 5.3 wt% NaCl was able to form a middle phase microemulsion at a high temperature (40\u2103),which provided the highest oil removal level with the lowest oil redeposition and the lowest IFT, and was much higher than that with a commercial detergent or de-ionized water. Most of the detached oil, whether in liquid or solid state, was in an unsolubilized form. Hence, the dispersion stability of the detached oil droplets or solidified oil particles that resulted from the surfactant adsorption played an important role in the oil redeposition. For an oily detergency, the lower the system IFT, the higher the oil removal whereas for a waxy (non-particulate) soil detergency, the lower the contact angle, the higher the solidified oil removal. For a liquefied oil, the detergency mechanism was roll up and emulsification with dispersion stability, while that for the waxy soil (solid oil) was the detachment by wettability with dispersion stability."
    },
    "128eval": {
        "Title": "Ethanol dehydrogenation to acetaldehyde over activated carbons-derived from coffee residue",
        "Abstract": "Copyright \u00a9 2019 BCREC Group. All rights reserved.This study focuses on the production of acetaldehyde from ethanol by catalytic dehydrogenation using activated carbon catalysts derived from coffee ground residues and commercial activated carbon catalyst. For the synthesis of activated carbon catalysts, coffee ground residues were chemical activated with ZnCl2 (ratio 1:3) followed by different physical activation. All prepared catalysts were characterized with various techniques such as nitrogen physisorption (BET and BJH methods), scanning electron microscopy (SEM), energy dispersive X-ray spectroscopy (EDX), temperature programmed desorption (CO2-TPD and NH3-TPD), X-ray Diffraction (XRD), Fourier transform infrared spectrometer (FT-IR), and thermogravimetric analysis (TGA). The dehydrogenation of vaporized ethanol was performed to test the catalytic activity and product distribution. Testing catalytic activity by operated in a fixed-bed continuous flow micro-reactor at temperatures ranged from 250 to 400 \u00b0C. It was found that the AC-D catalyst (using calcination under carbon dioxide flow at 600 \u00b0C, 4 hours for physical activation) exhibited the highest catalytic activity, while all catalysts show high selectivity to acetaldehyde (more than 90%). Ethanol conversion apparently increased with increased reaction temperature. At 400 \u00baC, the AC-D catalyst gave the highest ethanol conversion of 47.9% and yielded 46.8% of acetaldehyde. The highest activity obtained from AC-D catalyst can be related to both Lewis acidity and Lewis basicity because the dehydrogenation of ethanol uses both Lewis acid and Lewis basic sites for this reaction. To investigate the stability of catalyst, the AC-D catalyst showed quite constant ethanol conversion for 10 h. Therefore, the synthesized activated carbon from coffee ground residues is promising to be used in dehydrogenation of ethanol."
    },
    "129eval": {
        "Title": "Hospital volunteer management process digitalization through service design: Design decision and implementation",
        "Abstract": "\u00a9 2021 ACM.In the context of healthcare, volunteers play an important role in improving the patient's experience and lowering the operational cost. However, the process which facilitate their management is reported to be problematic. In this research, we have explored the process and analyzed the problems of the current process. We attempted to solve these problems through a process digitalization and implementing a new IT system by using service design methodology. The system was tested for a duration of 2 month during the COVID-19 outbreak in Thailand. SUS and an in-depth interview was conducted in order to gauge the usability and the effectiveness the system. Results show that the digitization process was a success. Furthermore, the research made an impact in Thailand's fight against COVID-19."
    },
    "130eval": {
        "Title": "Design and Development of a User-Centered Mobile Application for Intermodal Public Transit in Bangkok: A Design Thinking Approach",
        "Abstract": "\u00a9 2023 Scientific Association for Infocommunications. All rights reserved.With the constant increase in public transit coverage in Bangkok Metropolitan Area in Thailand, many people are still hesitant to switch from using private to public transit, with one potential cause being the unavailability and difficulty in accessing accurate and timely information about their itineraries, while they are commuting. To assess and tackle such issues, the researchers adopted the user-centric Design Thinking methodology to empathize with target users' pain points in this study. They proposed a solution in a user-centric manner by assessing the usability flaws of existing mobile navigation applications, such as Google Maps and ViaBus. By developing a holistic mobile application called 'Disgovery' that covers all modes of public transit in the Bangkok Metropolitan Area and provides relevant information about their trips, the researchers aim to help commuters in Bangkok easily access it in a timely fashion. Through the user-friendly interface, commuters can eliminate the difficulty of finding routes and prices suitable to their needs. By making public transit more accessible with the help of ubiquitous mobile computing, commuters are also encouraged to switch from using private vehicles to public transit, which also can reduce accidents and carbon emissions. The findings from the usability testing in this study suggest that 'Disgovery' is an effective and user-friendly application for daily commuters in Bangkok that can help them achieve their goals without difficulties. The findings also indicate the importance of user interface and user experience guidelines in designing such applications."
    },
    "131eval": {
        "Title": "Analysis of land use land coverage dynamics and its effects on rainfall-runoff and runoff-sediment patterns in yom river basin 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.This research studies the land use dynamics and its effects on rainfall-runoff and runoff-sediment relationships in Yom river basin of Thailand. The study compares land use land coverage change (LULCC), rainfall-runoff pattern, and sediment load in the main river course from 1980s to 1990s and to 2014. A land use map updated from different periods (Land Development Department, Thailand) in combination with digital elevation model (DEM) and satellite imageries have been carried out as inputs for land use change coverage analysis. Double mass curve with trend curve analysis is employed to evaluate the effects of LULCC on rainfall-runoff and runoff-sediment yield relationships. The results indicate that from 1990 to 2014, many forests in Yom river basin have been significantly transformed into farmland and irrigation area, especially in high-slope locations relatively further away from the main river course. This change of land use pattern has consecutively altered the rainfall-runoff and runoff-sediment relationships, and lead to more pronounced slope of trend curve (STC) of annual rainfall-runoff and runoff-sediment mass curves in 1990s compared to 2000s, implying that more soil and water loss yield in 2000s. One can logically suggest that the runoff-sediment load obtained during 1990s is higher than 2000s with similar rainfall/runoff, which can further be explained by the historic landuse dynamics. With the new water allocation scheme for flood risk reduction in the lower Chaophraya river basin, agricultural practices have spatio-temporally changed and parts of Yom river basin have been used for flood retention areas, significant alteration in rainfall-runoff and runoff-sediment patterns has been observed (i.e., in Bangrakam and Kongkrailart Districts). Continuous reduction of forest fraction results in soil loss, landslide, river bank erosion, and flood occurrence results in a more degrading river water quality and potential decrease in river capacity for flood protection, all involved stakeholder such as local authorities, communities, farmers, and policy makers should pay attention to apply appropriate land use and watershed management and flood risk reduction practices."
    },
    "132eval": {
        "Title": "Mathematical modeling of ascites formation in liver diseases",
        "Abstract": "\u00a9 2018 Association for Computing Machinery.Ascites is one of the most common symptoms occurred in patients with some liver diseases such as cirrhosis and alcoholic hepatitis.This paper presents a mathematical model of the ascitic fluid formation accumulated from blood and insterstitial fluid circulations within the liver with pathology. The liver lobules are treated as porous media in hexagonal shapes connected as a lattice where the flux of ascitic fluid is measured at its border. The influence of size of sinusoids, interstitial space, and fenestrated wall on ascites volume is investigated. Sinusoidal obstruction has the most effect on ascites production compared to the others. Moreover, since each liver disease has different character of pore obstruction, we investigated the effect of location of sinusoidal obstruction on ascites production. The generalized occlusion has more effect on ascites than pericentral and periportal occlusion, respectively, which is correlated to clinical findings in each hepatic disease. The measured flux of ascitic fluid is found linearly related to hepatic wedge pressure (Pw) and free hepatic pressure (Pf). From these results we conclude that increasing of either Pw or Pf can increase production of ascitic fluid."
    },
    "133eval": {
        "Title": "Evaluation of CSR project from the economic, environmental and social performances monitoring by using the case study of renewable energy for a community project in Thailand",
        "Abstract": "\u00a9 2018 Association for Computing Machinery.Recently, sustainable development becomes a major global issue for the mankind. In order to meet this criteria, main objectives that composed of three aspects which are environment, economic, and social has to be completely met. Practically, the concept of corporate social responsibility (CSR) is one of a useful tools that can promote the sustainable development effectively in which decent amount of renown companies in Thailand operate and find it quite successful for some degrees. For this study, the goal was to investigate the current situation of renewable energy for a community project in Thailand. The biogas production from swine farms was used as the representative case study to evaluate the economic, environmental and social performance. The key performance indicators (KPI) were used which based on the ISO 2600:2010. The study revealed that the project provided the returns rate on the investment to the public in the form of \"Social return on investment\" (SROI) to be 6.59 which indicated that the CSR project is worth for the investment. In addition, the net present value (NPV) could also promote the benefits in term of economic for about 3,038,137 THB per year. For the environmental perspective, the biogas from swine farm can cause the reduction in energy/fuel consumption along with the utilization of treated waste sludge as a fertilizer which also gain the carbon credits from GHG emission mitigation. As for the social perspective, the benefit gains were in the form of monetary along with the increasing of employment rate which resulted from the CSR biogas production projects were used to calculate for the economic perspective as the direct economic value which accounted for over 389,149 THB per year. The results of this study can be a useful case study for project owners or related sectors to make the improvement and moving toward the sustainable development later on."
    },
    "134eval": {
        "Title": "Development of Smart Water Heater Complied with MQTT and ECHONET Lite Protocols",
        "Abstract": "\u00a9 2018 IEEE.This paper proposes a development of smart water heaters complied with both MQTT and ECHONET Lite protocols. The prototype of electric water heater may send temperature, power consumption, and its status to an ECHONET Lite controller for the purpose of Home Energy Management System (HEMS) or to a cloud platform using MQTT protocol so that it can be controlled from anywhere."
    },
    "135eval": {
        "Title": "Effects of types of polyols on thermal degradation behaviors of poly(benzoxazine-urethane) alloys",
        "Abstract": "\u00a9 2019 IOP Publishing Ltd. All rights reserved.In this work, thermal stability of alloys of polybenzoxazine (PBA-a)/polyurethane (PU) which show unique shape memory properties has been investigated. This study aims to confirm the thermal stability under cyclic heat activation in shape memory performance. Thermal degradation kinetics of the system is evaluated as this behaviour has not been studied before. The degradation temperatures of the obtained alloys were determined by Thermogravimetric Analyzer (TGA) with various heating rates of 15, 20 and 25\u00b0C/min. Polybenzoxazine and polyurethane alloys at weight ratios of 80:20, 70:30 and 60:40 were examined."
    },
    "136eval": {
        "Title": "The differences of individual spatial strategy on their solving performance",
        "Abstract": "\u00a9 2018 IEEE.Spatial ability has numerous definitions such as the ability to perceive and perform manipulation on perception accurately. While majority of researches in this area have been focusing on the development of the training materials despite a concern of human factor as their cognitive strategy for solving spatial problems. Thus, the purpose of this study is to investigate the differences of individual spatial strategy on their spatial solving performance. Two-hundred-eighty-seven first-year Thai engineering student participated in this study. The results revealed the validity of individual spatial strategy and showed that people with analytic spatial strategy had the significantly lower performance in spatial solving than those with holistic and intermediate strategy. This study has the implication on the training process and materials that suit with the thought process of people to enhance the effectiveness and efficiency of the training. Discussion and future work were provided."
    },
    "137eval": {
        "Title": "A Fast CU Depth Estimation Algorithm for HEVC Inter Coding",
        "Abstract": "\u00a9 2019 IEEE.This paper proposes a fast coding unit (CU) depth estimation algorithm based on genetic algorithm (GA). Finding the optimal splitting pattern of each coding tree unit (CTU) from many possibilities is represented as an optimization problem and this splitting pattern is rapidly searched by a low-complexity optimizer. A suitable chromosome structure and an efficient fitness function are firstly proposed. The experimental results show 69.2% computational time on average can reduced by the proposed method compared with HM16.5. Compared with start-of-the-art fast encoding method, the proposed one can achieve 5.2% time saving on average under a comparable BD-PSNR."
    },
    "138eval": {
        "Title": "A weak mutation testing framework for BPMN",
        "Abstract": "\u00a9 2019 Turkiye Klinikleri Journal of Medical Sciences. All rights reserved.\u2014A BPMN is a model that describes a process, showing the sequence of operations and related business information. Execution semantics were introduced in BPMN 2.0 to support the definition of executable processes. In order to test a BPMN model, many researchers focus on test case generation technique. Mutation Testing is a technique to evaluate the quality of test cases by introducing a fault to the original program and the mutated version of the program is called a mutant. A previous research [1] proposed mutation operators for a BPMN model. In order to apply the mutation operator, we need a framework for mutant generation. Thus, this paper proposes a framework for mutant generation based on Weak Mutation testing technique which can generate mutants, deploy mutants on BPMN Engine, and calculate three metrics which are execution time, mutation score, and test effectiveness."
    },
    "139eval": {
        "Title": "Poroelastodynamic fundamental solutions of transversely isotropic half-plane",
        "Abstract": "\u00a9 2018 Elsevier LtdThis paper presents dynamic fundamental solutions of a transversely isotropic poroelastic half-plane. Biot's poroelastodynamics equations under plane-strain conditions are solved by employing Fourier integral transforms, and explicit analytical solutions are obtained from boundary value-problems corresponding to time-harmonic buried loads and fluid sources. The accuracy of present solutions is verified with existing solutions, and numerical results are presented to portray the influence of anisotropic properties on dynamic response of the half-plane under applied traction and fluid loading. The application of present solutions is also demonstrated in the analysis of dynamic interaction between a rigid strip and a transversely isotropic poroelastic half-plane."
    },
    "140eval": {
        "Title": "Technical and economic assessment of the pyrolysis and gasification integrated process for biomass conversion",
        "Abstract": "\u00a9 2018 Elsevier LtdThe technical and economic prospects for synthesis gas production via an integrated biomass pyrolysis and gasification (IBPG) process are evaluated for the case where rice straw is a considered feedstock. Modeling of the integrated process is performed by using the Aspen Custom Modeler program. The simulation results show that the production rates of synthesis gas and bio-oil derived from an IBPG process increase as pyrolysis temperature increases, due to the increased volatiles. Compared to a conventional biomass gasification, IBPG provides additional bio-oil as a valued by-product, releases less waste heat and offers higher energy efficiency at the same synthesis gas production rate. The IBPG process with a pyrolysis temperature of 700 \u00b0C shows the best technical performance. However, pinch analysis indicates that the IBPG process with a pyrolysis temperature of 400 \u00b0C or 500 \u00b0C and conventional biomass gasification is technically feasible; the optimum heat integration structures are achieved. The economic analysis, which considers only the reaction-related equipment, indicates that the IBPG process with a pyrolysis temperature of 500 \u00b0C offers synthesis gas and bio-oil production rates of 1.185 and 0.2044 kmol h\u22121, respectively, and an energy efficiency of 68.86% is most economically feasible."
    },
    "141eval": {
        "Title": "Highly stable rechargeable zinc-ion battery using dimethyl sulfoxide electrolyte",
        "Abstract": "\u00a9 2021 The Author(s)Due to their high safety, low cost, eco-friendliness, and impressive electrochemical performance, rechargeable zinc-ion batteries (ZIBs) show great potential as electrical energy storage devices for large-scale applications. Nonetheless, recently developed ZIBs still suffer from low cycling stability and high capacity fading. Such shortcomings are caused by the reversibility of both zinc (Zn) and the cathode host material, as well as hydrogen evolution in aqueous electrolytes, which are naturally protic solvents. Herein, dimethyl sulfoxide (DMSO), a polar aprotic solvent, is examined as an electrolyte for a ZIB. Zn stripping/plating in DMSO-based electrolytes shows excellent reversibility and dendrite-free morphology. During charging and resting modes, hydrogen evolution is effectively inhibited. Insertion/extraction of Zn ions in DMSO-based electrolytes into delta-type manganese dioxide (\u03b4-MnO2) demonstrates high stability, achieving a decent initial capacity of 159 mAh/g at 50 mA/g and a nominal discharge voltage of 1.15 V. At 100 mA/g charge/discharge cycling, the ZIB, having the DMSO-based electrolyte, can pass 1000 cycles, displaying a capacity retention of 60%. Overall, the improved performance of ZIBs can be attained using DMSO-based electrolytes. Results pave the way towards the practical application of ZIBs."
    },
    "142eval": {
        "Title": "2019 Thai General Election: A Twitter Analysis",
        "Abstract": "\u00a9 2019, Springer Nature Singapore Pte Ltd.Elections are the most important part in the democracy. The general election in Thailand was held on 24 March 2019. It was the first vote in the last five years since the seizure of power by the military coup leaded by General Prayut Chan-o-cha. A social media has become a part of daily life with a real time message distribution including sharing an opinion in politics. Twitter becomes the most widely used tool for creating trends by political parties and politicians. In this paper, we propose an analysis of election result according to data analysis from Twitter and Election Commission of Thailand (ECT). We used Twitter Advanced Search to collect data within three months from January 1 to March 31, 2019. We found the top keywords and hashtags trended on Twitter as the Future Forward Party (FFP). Meanwhile, the winner of the popular vote was the Palang Pracharat Party. We found no correlation between the number of retweets and votes as only one party got the outstanding number of retweets. From the analysis of retweeters\u2019 accounts, the characteristics of retweeters of the Future Forward Party differed from the retweeters of other parties. We then refined the analysis based on the sentiment of messages mentioning the political parties tweeted by the retweeters. The correlation coefficient between the number of positive mentions and votes became 0.615 with the removal of the FFP from the analysis. In addition, we found that the number of messages with a specific political party mentioned might reflect the election results. Finally, the TF-IDF analysis of words from the tweet messages during the campaign showed that words delivered by each party had different contextual meanings such as paying attention to people, party\u2019s policy, complaint, and blame."
    },
    "143eval": {
        "Title": "Code transformation impact on compiler-based optimization: A case study in the cmssw",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.In this paper, we study the benefit of applying loop transformations to a part of module in the CMS software. Particularly, we focus at the effect of loop transformations in term of performance improvement from the optimization process of compilers. Loop optimizations have been considered at low-level phase, such as loop unrolling using compiler directive. For high-level code transformations such as index set splitting and loop reordering, we adopt the polyhedral model to simplify the transformations. In this study, our loop optimization has been evaluated quantitatively. We study the impact on loops execution speed up and its instruction executed. Our observation shows that high-level loop optimizations can reduce both execution time and the number of instruction. This behavior suggested that simple loop transformations can trigger other optimizations. Moreover, we not only improve the overall performance, but also reduce the number of instruction. The results show that loop optimizations yield the speed up between 1.5 and 1.7."
    },
    "144eval": {
        "Title": "Stability of unlined square tunnels in Hoek-Brown rock masses based on lower bound analysis",
        "Abstract": "\u00a9 2018 Elsevier Ltd.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 unlined square tunnels in Hoek-Brown (HB) material. Extensive parametric studies on the load factor of unlined square tunnels are conducted on practical ranges of the cover-depth ratio of tunnels, normalized uniaxial compressive strength of intact rock, geological strength index (GSI) and HB material constant (mi). The presented results are useful for a reliable and accurate assessment of the stability of unlined square tunnels in rock masses in practice."
    },
    "145eval": {
        "Title": "Classification of titanium microstructure with fully convolutional neural networks",
        "Abstract": "\u00a9 2019 IOP Publishing Ltd. All rights reserved.Titanium and its alloy exhibit excellent properties for biomedical applications, especially in implant surgery. Classification of Titanium microstructure is the process in material inspection that reveals background of the material. Generally, microstructure classification is manually performed. Due to the complexity of microstructure features, expertise is required for process operation. The traditional classification by humans is time consuming and possibly error prone if the inspection is not performed by titanium microstructure experts. Deep learning is considered the revolution of computer vision to enable computers to see and perceive like humans. The technique is widely used for automatically classifying images with high accuracy. In order to reduce human inspection time during quality control, this research presents the use of a type of deep learning, Fully Convolutional Neural Networks, for pixel-wise classification in the titanium microstructure images. The dataset contains private images of titanium samples taken by SEM microscopes. As the available training dataset is small, data augmentation using elastic deformations is applied for increasing the accuracy of the model. Constructed with the U-net architecture, the network achieves good performance with the pixel accuracy of 92.67% and mean IoU of 71.30%."
    },
    "146eval": {
        "Title": "Biocompatible zwitterionic copolymer-stabilized magnetite nanoparticles: a simple one-pot synthesis, antifouling properties and biomagnetic separation",
        "Abstract": "\u00a9 The Royal Society of Chemistry.A simple one-pot synthesis of biocompatible and antifouling magnetite nanoparticles (Fe3O4NPs) was developed. The process involves co-precipitation and in situ coating of zwitterionic copolymer poly[(methacrylic acid)-co-(2-methacryloyloxyethyl phosphorylcholine)] (PMAMPC). The influence of one-step and two-step coating methods on the performance of modified Fe3O4NP was investigated. The PMAMPC-Fe3O4NP with a narrow particle size distribution obtained from the two-step approach were highly stable in aqueous media within a wide range of pH. The particles exhibited superparamagnetic behavior with high saturation magnetization values so that they could be easily separated from solution by a magnet. Their antifouling characteristics against 2 selected proteins, lysozyme (LYZ) and bovine serum albumin (BSA), as a function of copolymer molecular weight and composition were also evaluated. Moreover, taking advantage of having carboxyl groups in the coated copolymer, the PMAMPC-Fe3O4NP were conjugated with a model biomolecular probe, biotin. The biotin-immobilized PMAMPC-Fe3O4NP were then tested for their specific capturing of a target molecule, streptavidin. The results have demonstrated the potential of PMAMPC-Fe3O4NP prepared by the two-step in situ coating method for probe immobilization and subsequent biomagnetic separation of target molecules. The fact that the developed functionalizable magnetite nanoparticles are biocompatible and antifouling also opens up the possibility of their use in other biomedical-relevant applications."
    },
    "147eval": {
        "Title": "Utilization of Sewage Sludge from Beverage Industry as Dye Adsorption Materials",
        "Abstract": "\u00a9 Published under licence by IOP Publishing Ltd.This sewage sludge from beverage industry mainly contains organic carbon that can be carbonized and functionalized to sludge char with enhanced porosity and surface area, suitable for utilization as quality adsorbent. Investigation on the adsorption behaviour of Rhodamine B (RhB) as cationic dye in aqueous solution, which represented wastewater from textile industry, onto activated char sludge was performed in this study. The sludge was chemically activated with KOH and subjected to further thermal process at temperature of 800\u00b0C for 60 min under nitrogen atmosphere. Adsorption kinetics, isotherms and temperature effect on Rhodamine B adsorption were investigated to evaluate the influence of activation parameters. The result showed that activated char sludge with KOH yielded the highest adsorption capacity of Rhodamine B. At this condition, the activation obviously increased specific surface area from 12.46 m2/g to 2,565 m2/g resulted in substantial enhancement of adsorption capacity. The adsorption equilibrium was represented by Freundlich isotherm model. The kinetic model that fits the experimental data was pseudo-second order. The result confirmed that sewage sludge from beverage industry could be used as an effective adsorbent."
    },
    "148eval": {
        "Title": "Development of a Gateway for OpenADR-ECHONET Lite Protocols with Raspberry Pi Board",
        "Abstract": "\u00a9 2018 IEEE.In this paper, we develop an ECHONET-Lite gateway on a Raspberry Pi 3 board. It controls ECHONET-Lite devices which usually are electrical appliances in a household or small building. On the other side of the gateway, it acts as a VEN, which responses with a VTN using the OpenADR protocol. Simulation results show that VTN from the OpenADR Alliance can communicate with our VEN and the appliances such as air-conditioners are controlled accordingly with ECHONET-Lite commands."
    },
    "149eval": {
        "Title": "Effect of solution treatment and precipitation aging conditions on microstructural refurbishment in cast nickel base superalloy, grade MGA 1400",
        "Abstract": "\u00a9 2017 Elsevier Ltd. All rights reserved.The aim of this project is to study and evaluate the effect of reheat treatment conditions on microstructural refurbishment in cast nickel base superalloy, MGA 1400. This cast nickel base superalloy is used as a turbine blade material in Japanese gas turbine engines. The evaluated reheat treatment process consists of a solution treatment at 1125\u00b0C, 1150\u00b0C and 1175\u00b0C for 4 hours and followed by 1) final precipitation aging at 845\u00b0C for 25 hours or 2) primary aging at 925\u00b0C for 2 hours and secondary aging at 845\u00b0C for 25 hours. All reheat treated microstructures were investigated and analyzed by SEM and image analysis program. From all obtained results, it was found that at temperature of 1125\u00b0C for 4 hours followed by single precipitation aging at 845\u00b0C for 25 hours (without 2-steps aging) provides the best microstructural characteristics, which consists of the most uniform distribution of very dense gamma prime particles precipitating with its proper size and shape in the gamma matrix."
    },
    "150eval": {
        "Title": "An effect-analysis method for species-dependent coral health status in temperature and ammonia: A case study of Acropora sp., Turbinaria sp., and Porites sp.",
        "Abstract": "\u00a9 The Authors, published by EDP Sciences, 2019.This research aimed to study the effects of temperature and ammonia on the health status of Acropora sp., Turbinaria sp., and Porites sp. by using acute toxicity testing (50% Lethal Concentration: LC50). The acute effects were monitored at temperatures of 30\u00b0C and 33\u00b0C at 24 and 48 hrs. The concentrations of ammonia varied at 0 0.05 0.07 and 0.1 mgN/L, respectively. The active polyp percentages of Acropora sp. was analyzed with comparison to the health status percentages. According to the findings at 30\u00b0C (24 and 48 hrs) and 33\u00b0C (24 hrs), the LC50 could not be investigated because the mortality percentages was not below 50%. On the other hand, at 33\u00b0C (48 hrs), the LC50 could be evaluated because the mortality percentages exceeded 50%. Therefore, the LC50 at 48 hrs of Acropora sp., Turbinaria sp., and Porites sp. were equal to 0.043, 0.075 and 0.054 mgN/L, respectively."
    },
    "151eval": {
        "Title": "Very Short-Term Solar Power Forecast using Data from NWP Model",
        "Abstract": "\u00a9 2019 IEEE.This article presents a method to forecast solar power 4 hours in advance by using forecast weather data from Numerical Weather Prediction (NWP) and the measurement obtained from weather monitoring instrument with feature engineering by machine learning techniques using Feed-forward Neural Network (FNN) and Recurrent Neural Network (RNN). Four types of relevant variables-forecast weather data, the average of forecast weather data, forecast weather data with the measurement from weather instrument, and the average of forecast weather data from nearby areas with the measurement from weather instrument-are used to find the right model and input variable for the forecast. The result shows that by using Feed-forward Neural Network with the forecast weather data and the measurement from weather monitoring instrument, the Root Mean Square Error (RMSE) value is 8.13%. On the other hand, by using Feed-forward Neural Network with just the forecast weather data from nearby areas, RMSE is at 8.38% which is only 0.25% higher than the forecast with the measurement. Thus, only weather data from nearby areas can be used for prediction of the area without the measurement from weather monitoring instrument and we can use it for further prediction at the region level."
    }
}