2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST)最新文献

{"title":"A Class D Voltage Source Resonant Inverter for Ultrasonic Cleaning Application","authors":"J. Jittakort, Janjira Nimsontorn, Boontan Sirboonrueng, Somyod Chua-on, P. Pinpathomrat, S. Chudjuarjeen","doi":"10.1109/ICEAST.2018.8434484","DOIUrl":"https://doi.org/10.1109/ICEAST.2018.8434484","url":null,"abstract":"This paper presents a class D voltage source resonant inverter for the ultrasonic cleaner. The output power is controlled by varying switching frequency that depends on the load variation. The system can achieve the zero voltage switching (ZVS) throughout the inverter operation. The piezoelectric ceramic transducer (PCT) of 50 W is used to generate the vibrated effect for cleaning the ultrasonic load. The microcontroller of dsPIC30F2010 is used to generate two gate signals. The proposed method can verified by the simulated and experimental results.","PeriodicalId":138654,"journal":{"name":"2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127260247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thai Clickbait Detection Algorithms Using Natural Language Processing with Machine Learning Techniques","authors":"Praphan Klairith, Sansiri Tanachutiwat","doi":"10.1109/ICEAST.2018.8434447","DOIUrl":"https://doi.org/10.1109/ICEAST.2018.8434447","url":null,"abstract":"This paper proposes the approach based on machine learning for detection of Thai clickbait. The clickbait messages often adopt eye-catching on wording, lagging of information on a content to attract visitors. We contribute the clickbait corpus by crowdsourcing, 30,000 of headlines are selected to draw up the dataset. In this work attempt to develop clickbait detection model using two type of features in the embedding layer and three different of networks in the hidden layer. BiLSTM with word level embedding performs very well achieving accuracy rate of 0.98, fl-score of 0.98.","PeriodicalId":138654,"journal":{"name":"2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125445086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Underlay-Overlay of LTE Cells Capacity with Fractional Frequency Reuse","authors":"Samakom Matathong, P. Moungnoul","doi":"10.1109/ICEAST.2018.8434470","DOIUrl":"https://doi.org/10.1109/ICEAST.2018.8434470","url":null,"abstract":"Mobile phones need connected to high speed network for multimedia service, LTE network can be offered. Micro/macro cell technique with FFR (Fraction Frequency Reuse) used to increase the capacity of cellular mobile system. Performance of system depend on co-channel interference from neighboring cells. Cell sector used for reducing the co-channel interference from neighboring cells and improve the system performance. For increase more system capacity, this paper proposes 3 models of overlay-underlay cell for LTE system. Simulation results show the best model for LTE cell layout.","PeriodicalId":138654,"journal":{"name":"2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122648876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Active Simulation of Electronically Tunable Grounded Lossless Inductor Using Voltage Differencing Inverting Buffered Amplifiers","authors":"Natchanai Roongmuanpha, S. Unhavanich, W. Tangsrirat","doi":"10.1109/ICEAST.2018.8434425","DOIUrl":"https://doi.org/10.1109/ICEAST.2018.8434425","url":null,"abstract":"An actively simulated grounded lossless inductor based on employing voltage differencing inverting buffered amplifiers (VDIBAs) as new active components has been presented. The synthetic canonical inductor uses only two VDIBAs and one grounded capacitor. The simulator provides the advantage feature of electronic control of its equivalent inductance via the transconductance parameter of the VDIBA, and also does not need critical element matching conditions. An illustrative application of the proposed tunable grounded lossless inductor on the realization of an active RLC second-order bandpass filter has been designed. The usability of the proposed circuit has been evaluated using PSPICE simulations based on VDIBA implemented in TSMC 0.25-μ m CMOS technology, and the simulated results demonstrate a sufficient agreement with the theoretical conclusions.","PeriodicalId":138654,"journal":{"name":"2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122212308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Use of Global Best Position in Rerun of Particle Swarm Optimization","authors":"Varothon Cheypoca, K. Siriboon, B. Kruatrachue","doi":"10.1109/ICEAST.2018.8434504","DOIUrl":"https://doi.org/10.1109/ICEAST.2018.8434504","url":null,"abstract":"This paper studies the use of particle best position (GBEST) in rerun when particle swarm optimization (PSO) traps in local optima. Reinitialize particles positions are often used to restart PSO to get better results when trapping in local optima. This paper proposed the use of GBEST to further force particle movement out of previous local optima instead of only reset GBEST. The proposed method is tested on 26 benchmark test functions with satisfactory results.","PeriodicalId":138654,"journal":{"name":"2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129444663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of Wind Power Generation","authors":"Khanittha Wannakam, S. Jiriwibhakorn","doi":"10.1109/ICEAST.2018.8434443","DOIUrl":"https://doi.org/10.1109/ICEAST.2018.8434443","url":null,"abstract":"Wind power generation is an unstable source of renewable energy. Electricity depends on the weather at the installation location of the wind turbine. This paper presents the prediction of wind power by using the Weibull distribution and Adaptive Neuro-Fuzzy Inference System. The lowest error rates from the Adaptive Neuro-Fuzzy Inference System were 2.1912% and 4.5678%. This is the error value of the training data and the test data respectively.","PeriodicalId":138654,"journal":{"name":"2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST)","volume":"166 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132385181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of a Vision Based Mapping in Rubber Tree Orchard","authors":"Worawut Kunghun, Akapot Tantrapiwat","doi":"10.1109/ICEAST.2018.8434431","DOIUrl":"https://doi.org/10.1109/ICEAST.2018.8434431","url":null,"abstract":"A mapping method for rubber tree orchard was developed using an image processing. Because of high labor cost and continuous dropped price of natural rubber in the past years, the rubber tree farmers are struggled to maintain profit and their productions. Automation technology in agriculture can be a solution to cut down the production cost which comprises of a large share in harvesting labor expense. To create such automation, the autonomous and orchard mapping are the first challenges. Due to the natural rubber industry is popular in particular part of the world, mostly in South East Asia, the vision mapping and autonomous on rubber tree orchards have not been done widely. This research aims to develop a model of vision mapping system which is suitable to the rubber tree plantations based on the common farming platform in Thailand. The vision model was designed to use single camera capturing calibrated targets which were placed on the rubber tree trunks. The length of the target from the captured image was then calculated in order to estimate the distance and position of the camera in relation to the orchard geometry. Because the larger size of the targets results in higher accuracy, however one large single target is not practical for installation on the trees, two separated targets technique was created. Three different lengths, 0.3, 0.5, and 0.7 meters, of separated targets were examined during the experiments. Percent error distances of target to camera, Z-direction, and target to center of camera, X-direction, were evaluated and also their uncertainties. The results have shown that largest target gave small error uncertainties, but the percentages of errors are quite similar among all sizes of targets. Because the sizes of the errors are proportion to the sizes of the targets, the percentage errors therefore adapt to the sizes of the targets. The experiments were carried out at 1–5 meter distances between target and camera that were set to cover the normal 3 meter distance between tree rows. It showed that the vision mapping can perform at about 8 cm repeatability in z-direction and about 13 cm in x-direction. This magnitude of errors seems to be large but it is actually practical for the orchard autonomous which is usually designed for low speed vehicle working on a large area.","PeriodicalId":138654,"journal":{"name":"2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST)","volume":"10 26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133422687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Evaluation of SVM and Naive Bayes with SMOTE on Sentiment Analysis Data Set","authors":"Andrew Christian Flores, Rogelyn I. Icoy, Christine F. Peña, Ken Gorro","doi":"10.1109/ICEAST.2018.8434401","DOIUrl":"https://doi.org/10.1109/ICEAST.2018.8434401","url":null,"abstract":"Data classification is highly significant in data mining which leads to a number of studies in machine learning with preprocessing and algorithmic technique. Class imbalance is a problem in data classification wherein a class of data will outnumber another data class. Sentiment Analysis is an evaluation of written and spoken language which determines a person's expressions, sentiments, emotions and attitudes and is commonly used as dataset in machine learning. This study is a comparative analysis of Support Vector Machine (SVM) algorithm: Sequential Minimal Optimization (SMO) with Synthetic Minority Over-Sampling Technique (SMOTE) and Naive Bayes Multinomial (NBM) algorithm with SMOTE for classification of data given the same Sentiment Analysis datasets gathered by students of University of San Carlos. Weka, a Graphic User Interface (GUI) with a collection of machine learning algorithms for data mining, is use to preprocess and classify the datasets. The results had shown that 10 Folds validation provides better findings compared to 70:30 split in testing SVM and NBM with SMOTE. However, it also depends on how the datasets is preprocessed especially when it contains noisy data.","PeriodicalId":138654,"journal":{"name":"2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129440800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design of a Fuzzy-Based Light Absorbance Measurement Device for Chemical Education","authors":"Soranut Kittpanyangam, Wanglok Do, Ratanaubol Rubpongse, K. Eguchi","doi":"10.1109/ICEAST.2018.8434463","DOIUrl":"https://doi.org/10.1109/ICEAST.2018.8434463","url":null,"abstract":"The design of a fuzzy-based light absorbance measurement device for chemical education is proposed in this paper. It is developed for supporting the chemical education which the device is not enough for every student. The proposed device measures the solution and calculated the light absorbance of the solution by Beer's law. After that, it amplifies the light absorbance close to the commercial spectrophotometer light absorbance by fuzzy theory. This theory replaces the voltage amplification circuit of the previous light absorbance measurement device. The fuzzy theory does not only increase the light absorbance, but also it increases the coefficient of determination between light absorbance and the concentration which shows the efficiency of the measurement. Furthermore, the proposed device uses 2 color light sensors for measuring the solution. Therefore, it can measured the mixed 2 colors solution and calculated light absorbance by 2 dimensions fuzzy set of the fuzzy theory.","PeriodicalId":138654,"journal":{"name":"2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122906993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implementation of High Voltage Gain DC-DC Boost Converter for Fuel Cell Application","authors":"H. Suryoatmojo, R. Mardiyanto, D. Riawan, Sjamsjul Anam, E. Setijadi, Suw Ito, I. Wan","doi":"10.1109/ICEAST.2018.8434428","DOIUrl":"https://doi.org/10.1109/ICEAST.2018.8434428","url":null,"abstract":"Currently, there are a lot of renewable energy potential research focusing on the potential of photovoltaic and fuel cell. However, the main problem in photovoltaic and fuel cell application is only able to generate low output voltage. In order to increase the voltage, converter device is required before applied to the load. The dc-dc boost converter is one kind of converter which used for increasing output voltage. However, a conventional boost converter is only optimally worked in 2–3 times conversion rate of the input voltage, so this converter can not supply the load with high voltage rate. This research implements high voltage gain converter based on B×B topology for fuel cell application. The advantages of high voltage gain dc-dc boost converter is having conversion rate and high efficiency also has a simple implementation and it will be compatible to be applied in renewable energy sources with dc low voltage, such as photovoltaic and fuel cell. From the implementation results, the high gain dc-dc converter can improve the voltage gain about 4.5 times and able to be implemented with fuel cell application.","PeriodicalId":138654,"journal":{"name":"2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127691657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}