{"title":"Experimental Investigation of Electrical Discharge Plasma in Air Microbubbles Water Mixture","authors":"C. Dechthummarong","doi":"10.1109/IEECON.2018.8712338","DOIUrl":"https://doi.org/10.1109/IEECON.2018.8712338","url":null,"abstract":"This research focused on studying a DC plasma discharge underwater with mixed high-density of air micro-bubbles water by experimental research for generating of free radicals and highly chemically active species in the activated water. The simple laboratory-made high voltage DC power supply based on half wave rectifier of voltage doubler circuit of 12 kVp. A point-to-point electrode setup was immersed in the water. Electrical DC-discharge plasma though micro air-bubbles water was investigated by current and voltage probe. The yields from electrical discharge plasma in the water were measured by detecting of pH, conductivity, ozone (O3), nitrate (NO3-), and hydrogen peroxide (H2O2). During underwater discharge plasma with mixture of micro air-bubbles in water condition, the maximum voltage and current were applied approximately 5 kVp and 1 Ap, respectively. The chemically reactive species concentrations of water were measured as a function of treatment time for 4 minutes. The results shown that O3, H2O2 and N03-obtained more than 5 mg/L, 25 mg/L, and 90 mg/L, respectively. Moreover, the discharge plasma with the air micro-bubbles water presented significantly correlation between chemical active species production and the input energy transfer.","PeriodicalId":6628,"journal":{"name":"2018 International Electrical Engineering Congress (iEECON)","volume":"48 2 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86571968","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}
P. Dawan, Kaweepoj Worranetsuttikul, Songkiate Kittisontirak, K. Sriprapha, W. Titiroongruang, Surasak Niemcharocn
{"title":"Performance of the Module Temperature Model in Forecasting the Power Output of Photovoltaic Systems","authors":"P. Dawan, Kaweepoj Worranetsuttikul, Songkiate Kittisontirak, K. Sriprapha, W. Titiroongruang, Surasak Niemcharocn","doi":"10.1109/IEECON.2018.8712317","DOIUrl":"https://doi.org/10.1109/IEECON.2018.8712317","url":null,"abstract":"This paper is the study the performance of the temperature model in forecasting the power output of photovoltaic systems. The prominent point of the solar power forecasting model was to use only one input parameter (solar irradiance). Solar irradiance was injected into the temperature model using mathematic equations. The output of temperature model and the solar irradiance was used by the solar power forecasting model for forecasting the power output of the photovoltaic systems. The results shows that the effectiveness of the temperature model had a discrepancy at 4.03%, which is acceptable.","PeriodicalId":6628,"journal":{"name":"2018 International Electrical Engineering Congress (iEECON)","volume":"16 1","pages":"1-3"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86684347","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":"Stablizied and Rotating Mechanism of 2D Laser Scanner for 3D Point Cloud Reconstruction","authors":"P. Prempraneerach, Thanapong Usupan","doi":"10.1109/IEECON.2018.8712339","DOIUrl":"https://doi.org/10.1109/IEECON.2018.8712339","url":null,"abstract":"This research presents a stabilizing and rotating mechanism for laser scanner; thus 3D cloud points could be reconstructed. Design and development of a vertical scanning system and a roll-motion stabilizing system for laser point-cloud data, measured radial distance horizontally, are implemented. By using an encoder to feedback a roll angle, the first DC servo motor with a PI controller can assist stabilizing horizontal point-cloud data. A four-bar linkage mechanism, driven by the second DC motor and controlled by a feedforward controller with Inertial Measurement Unit (IMU) pitch-angle feedback, could generate $pmb{pm 16.5^{circ}}$ up-and-down pitching motion of the laser scanner. Both digital feedback controllers of two motors are developed in an Arduino microcontroller. Kinematics model of the four-bar linkage mechanism are derived and simulated for a design purpose. Experimental tests of the first motor, controlled by the PI-controller, reveal robustness against external-force disturbances, acting on the laser scanner, and demonstrate a roll-motion counterweight of the mechanism base. In additions, experiments of the second motor with the feedforward controller can compensate for gravity to achieve periodical cycles of the four-bar linkage motion. Reconstructed 3D point-cloud surface from laser 2D cloud points can provide accurate horizontal width and smooth-continuous height of measured indoor wall.","PeriodicalId":6628,"journal":{"name":"2018 International Electrical Engineering Congress (iEECON)","volume":"26 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86956335","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":"Human Computer Interaction and Usability Engineering of Thai Word Search Keyboard Application for Students with Learning Disabilities","authors":"Onintra Poobrasert, Thaphat Mupattararot","doi":"10.1109/ieecon.2018.8712193","DOIUrl":"https://doi.org/10.1109/ieecon.2018.8712193","url":null,"abstract":"Human-Computer Interaction is a study of focusing on the design of computer technology, in particular, the interaction between the users and computers. Consequently, it is important especially when designing and developing a tool such as assistive technology tool for students with learning disabilities. Assistive technology is a tool that helps increase potential or improve capability of exceptional students, so that they will have more learning potential and hence they can study effectively. In addition, assistive technology can be used as a tool by teachers to facilitate learning management and provide learning opportunity to students. A Thai Word Search Keyboard Application was developed to help students with writing and spelling disabilities to be able to select the right vocabularies. Thai Word Search Keyboard Application, which was still a lab prototype, was tested for performance with teachers and related persons who had ever worked with students with learning disabilities. The researchers use a heuristic evaluation in this study. The evaluation result from functional requirement and usability tests was at a high level, while the result from functional tests was at a moderate level. Those results would be a guideline for improving the next version of Thai Word Search Keyboard Application.","PeriodicalId":6628,"journal":{"name":"2018 International Electrical Engineering Congress (iEECON)","volume":"1 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87181527","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":"A Study on Thermoelectric Power Generator by Solar Energy Using Fresnel Lens","authors":"Mati Nararom, P. Bamroongkhan","doi":"10.1109/IEECON.2018.8712218","DOIUrl":"https://doi.org/10.1109/IEECON.2018.8712218","url":null,"abstract":"This thermoelectric power generation from solar radiation used an optical lens to focus solar energy onto the thermoelectric module. The distance between the optical lens and thermoelectric module was determined to investigate the highest temperature value of the hot side of the thermoelectric module and the heat dissipation on the cold side by using a 12 VDC fan. The results showed that the maximum temperature of the hot side was 69.6 °C and the temperature difference was 38.6 °C. The thermoelectric module could produce 1.03 W power output with an energy conversion efficiency of 1.81%. This power can be applied to small bulbs or rechargeable batteries.","PeriodicalId":6628,"journal":{"name":"2018 International Electrical Engineering Congress (iEECON)","volume":"51 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85835909","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":"Modified Current Feedback vs Voltage Feedback Signals Distortion Effect","authors":"S. Kongjareansuk, K. Jirasereeamornkul","doi":"10.1109/IEECON.2018.8712244","DOIUrl":"https://doi.org/10.1109/IEECON.2018.8712244","url":null,"abstract":"In this paper, the modified circuit signals distortion effects of feedback current in comparison with the voltage feedback were discussed. The result from comparison circuit is the current feedback affects high signals distortion and independent of the internal components as the voltage feedback. The objective of this modification is to improve high signal distortions. The comparison of a harmonic signal output (THD: 58.33% load $pmb{10}mathbf{k}pmbOmega$) with a frequency response well to 9.36MHz and display simulated by the OrCAD PSpice.","PeriodicalId":6628,"journal":{"name":"2018 International Electrical Engineering Congress (iEECON)","volume":"23 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85391479","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":"A Soft Sensor for Prediction of Temperature Rises on a Ball Screw Shaft Using Extreme Learning Machine","authors":"Witchukorn Dcchrudee, S. Wongsa, Shyh‐Leh Chen","doi":"10.1109/IEECON.2018.8712237","DOIUrl":"https://doi.org/10.1109/IEECON.2018.8712237","url":null,"abstract":"A high speed ball screw driving system generates considerable heat and causes significant thermal expansion, which affects the accuracy of position. In order to properly deal with thermal errors and resultant thermal deformation, continuous precision thermal monitoring along the ball screw shaft is required. However, the working temperature of the ball screw shaft is difficult to measure online. Therefore, in this paper we propose a soft sensor based on an extreme learning machine (ELM) method for predicting the distributions of temperature rises on the ball screw shaft of a feed drive. ELM is an emerging learning algorithm for single-hidden layer feedforward neural networks (SLFNs) training that has recently attracted many researchers' interest due to its impressive generalisation performance at fast training speed. The performance of the ELM soft-sensor is investigated on the thermal expansion process of the ball screw system simulated by the finite element method (FEM). The results show that the ELM-based soft sensor provides good generalisation performance with much faster speed than the traditional backpropagation artificial neural network (BP-ANN).","PeriodicalId":6628,"journal":{"name":"2018 International Electrical Engineering Congress (iEECON)","volume":"8 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85688621","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":"Target Setting of Power System Reliability Indices with Consideration of Maintenance Cost and Relevant Factors","authors":"Amorn Chamanghatthaphong, S. Chaitusaney","doi":"10.1109/IEECON.2018.8712337","DOIUrl":"https://doi.org/10.1109/IEECON.2018.8712337","url":null,"abstract":"Target setting of power system reliability indices should consider the factors that affect to reliability. Also, there should be the quick way to get the index targets in order to be able to set up maintenance activities and to plan improvement of the power system, it is possible to reach the target in time. In this paper, preventive maintenance cost and line length are considered. Furthermore, the methods presented multiple linear regression and simple linear regression. The test results show that the analysis method can be used to set the targets quickly and in accordance with the factors taken into consideration.","PeriodicalId":6628,"journal":{"name":"2018 International Electrical Engineering Congress (iEECON)","volume":"76 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90283105","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":"Bilateral Filtering Embed with Edge Flow Feature","authors":"Surachai Ongkittikul, Nattapong Jundang","doi":"10.1109/IEECON.2018.8712242","DOIUrl":"https://doi.org/10.1109/IEECON.2018.8712242","url":null,"abstract":"The bilateral filtering is a blurring method that aims to preserve the strong edges in the image. This paper purposes the scheme that collaborate between the edge flow feature and the Gaussian function applied for the bilateral filter. From the edge flow feature, it sets up the reference points from the image to support the consideration of the bilateral filter. The reference points of edge flow feature consists of the magnitude and the direction of the edges of the image. Both features are employed to discriminate the objects in the image. These reference points of the edge flow feature are cooperated in the bilateral filter to improve the quality of the filter. The results of our scheme will compare with the generic of the bilateral filter that our scheme can perform very well.","PeriodicalId":6628,"journal":{"name":"2018 International Electrical Engineering Congress (iEECON)","volume":"58 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80922351","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}
Ragini Lanjewar, Vijaya Durga Bhavani Adusumalli, D. Mandal, R. Kar
{"title":"Optimal Synthesis of Linear Antenna Array with wide Null Symmetry Using Novel Particle Swarm Optimization Technique","authors":"Ragini Lanjewar, Vijaya Durga Bhavani Adusumalli, D. Mandal, R. Kar","doi":"10.1109/ieecon.2018.8712304","DOIUrl":"https://doi.org/10.1109/ieecon.2018.8712304","url":null,"abstract":"Imposing nulls in the radiation pattern of a symmetric linear array antenna with constant phase and excitation current but different in spacing between the elements is dealt in this paper. This idea can be achieved using NPSO technique. For comparing the results, PSOCFA is also considered. Consequences of using this technique are that the symmetric single and wide null is achieved in particular direction with optimal normalized varying spacing between the elements.","PeriodicalId":6628,"journal":{"name":"2018 International Electrical Engineering Congress (iEECON)","volume":"28 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78735222","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}