2018 International Electrical Engineering Congress (iEECON)最新文献_第10页

Comparison of Voltage Distortion Impacts from High-Speed Railway Systems Connected to Electrical Grid Under Different Special Transformers 不同专用变压器对高速铁路并网电压畸变影响的比较

2018 International Electrical Engineering Congress (iEECON) Pub Date : 2018-03-01 DOI: 10.1109/IEECON.2018.8712124

Thunwa Boonlert, K. Hongesombut

{"title":"Comparison of Voltage Distortion Impacts from High-Speed Railway Systems Connected to Electrical Grid Under Different Special Transformers","authors":"Thunwa Boonlert, K. Hongesombut","doi":"10.1109/IEECON.2018.8712124","DOIUrl":"https://doi.org/10.1109/IEECON.2018.8712124","url":null,"abstract":"High-speed trains in Thailand use AC traction system with 2×25 kV and 50 Hz power system. In traction system, it consists of power electronic devices; therefore, trains can be considered as moveable sources of harmonics in power system. For supplying electrical power to trains, three-phase high voltage (HV) to two-phase medium voltage (MV) by special transformers has been used. This paper focuses on developing 2×25 kV highspeed railway (HSR) system consisting of catenary system, highspeed rail loads and various kinds of specially connected transformer models. Three types of specially connected transformers, i.e. V-V transformer, Scott transformer and Modified Woodbridge transformer, are modeled and verified by DIgSILENT PowerFactory software. The impacts on voltage distortion from HSR system connected to utility grid at point-of-common coupling (PCC) with different types of special transformers are analyzed and compared. It is found that harmonics currents can have different impacts on utility grid by different specially connected transformers. Selecting an appropriate range of short-circuit power from an early stage of construction of high-speed railway until future expansion of high-speed rail loads is crucial to evaluate the total life cycle cost of the developed HSR project.","PeriodicalId":6628,"journal":{"name":"2018 International Electrical Engineering Congress (iEECON)","volume":"20 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":"81604295","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}

引用次数: 1

Pulse Width Modulated Cascaded Multi Level Inverter Topology 脉宽调制级联多电平逆变器拓扑

2018 International Electrical Engineering Congress (iEECON) Pub Date : 2018-03-01 DOI: 10.1109/IEECON.2018.8712316

B. Das, D. Chatterjee, A. Bhattacharya

引用次数: 1

The Stability Analysis of DC Micro-Grid System with PV Array 光伏阵列直流微电网系统稳定性分析

2018 International Electrical Engineering Congress (iEECON) Pub Date : 2018-03-01 DOI: 10.1109/IEECON.2018.8712279

Jakkrit Pakdeeto, Kongpan Areerak, K. Areerak

引用次数: 2

Side-Lobe Level Reduction of Concentric Array Antennas Using Craziness Based Particle Swarm Optimization Technique 基于疯狂度的粒子群优化技术降低同心圆阵列天线旁瓣电平

2018 International Electrical Engineering Congress (iEECON) Pub Date : 2018-03-01 DOI: 10.1109/IEECON.2018.8712117

R. Bera, Saraswathula Satya Vivek Raja, D. Mandal, Sakti Prasad Ghoshal, R. Kar

引用次数: 1

Comparing a Conceptual Model of the Electronic Record System Applying in Home Health Care Unit 比较电子病历系统在家庭保健单位应用的概念模型

2018 International Electrical Engineering Congress (iEECON) Pub Date : 2018-03-01 DOI: 10.1109/IEECON.2018.8712190

Suchitra Auefuea, Adisak Nartthanarung, Parichart Pronsawatchai, Pichitpong Soontompipit

{"title":"Comparing a Conceptual Model of the Electronic Record System Applying in Home Health Care Unit","authors":"Suchitra Auefuea, Adisak Nartthanarung, Parichart Pronsawatchai, Pichitpong Soontompipit","doi":"10.1109/IEECON.2018.8712190","DOIUrl":"https://doi.org/10.1109/IEECON.2018.8712190","url":null,"abstract":"The electronic based system and health information technology were used and integrated in healthcare service because the electronic systems provide better quality, efficiency, and outcome of healthcare service. By improving the quality of care, the electronic system was to adapt and adopt into the healthcare service including the nursing service of long term care. In Home Health Care unit, Ramathibodi hospital, it was 2 systems in this service, the paper based and electronic based systems. Surveying the existing system found that the electronic based was supported only one process, which is the consulting process, but other processes mostly had to record in paper based. This paper developed the electronic record system applied into their services. Also, before implementing the new system into the working process, the comparing effectiveness and efficiency between existing as paper based and the new system as electronic based were defined. There were aspects of the number of incidents of data error, incompleteness, inconsistency and different time between using both systems to record.","PeriodicalId":6628,"journal":{"name":"2018 International Electrical Engineering Congress (iEECON)","volume":"128 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":"85286530","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}

引用次数: 0

Identification of Plant Nutrient Deficiencies Using Convolutional Neural Networks 利用卷积神经网络识别植物营养缺乏

2018 International Electrical Engineering Congress (iEECON) Pub Date : 2018-03-01 DOI: 10.1109/IEECON.2018.8712217

U. Watchareeruetai, Pavit Noinongyao, Chaiwat Wattanapaiboonsuk, Puriwat Khantiviriya, S. Duangsrisai

{"title":"Identification of Plant Nutrient Deficiencies Using Convolutional Neural Networks","authors":"U. Watchareeruetai, Pavit Noinongyao, Chaiwat Wattanapaiboonsuk, Puriwat Khantiviriya, S. Duangsrisai","doi":"10.1109/IEECON.2018.8712217","DOIUrl":"https://doi.org/10.1109/IEECON.2018.8712217","url":null,"abstract":"A novel image analysis method for identifying nutrient deficiencies in plant based on its leaf is proposed. First, the proposed method divides an input leaf image into small blocks. Second, each block of leaf pixels is fed to a set of convolutional neural networks (CNNs). Each CNN is specifically trained for a nutrient deficiency and is utilized to decide if a block is presenting any symptom of the corresponding nutrient deficiency. Next, the responses from all CNNs are integrated to produce a single response for the block using a winner-take-all strategy. Finally, the responses from all blocks are integrated into one using a multi-layer perceptron to produce a final response for the whole leaf. Validation of the proposed method was performed on a set of black gram (Vigna mungo) plants grown under nutrient-controlled environments. Five types of deficiencies, i.e., Ca, Fe, K, Mg, and N deficiencies, and a group of plants with complete nutrients were studied. A dataset consisting of 3,000 leaf images was collected and used for experimentation. Experimental results indicate the superiority of the proposed method over trained humans in nutrient deficiency identification.","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":"90292651","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}

引用次数: 25

Changes in Pulse Transit Time During Psychological Stress Test 心理应激试验中脉冲传递时间的变化

2018 International Electrical Engineering Congress (iEECON) Pub Date : 2018-03-01 DOI: 10.1109/IEECON.2018.8712297

Thanapat Chuenchom, S. Tretriluxana, K. Chitsakul

引用次数: 3

Indoor Wireless Sensor Network Localization Using RSSI Based Weighting Algorithm Method for Short Range Wireless Communication 基于RSSI加权算法的近距离无线通信室内无线传感器网络定位方法

2018 International Electrical Engineering Congress (iEECON) Pub Date : 2018-03-01 DOI: 10.1109/IEECON.2018.8712255

Jutamas Thongkam, P. Supanakoon, S. Promwong

引用次数: 4

Simulation of a Miniature SEPIC Converter with PI Controller for Thermoelectric Generator Module 基于PI控制器的小型SEPIC变换器热电发电模块仿真

2018 International Electrical Engineering Congress (iEECON) Pub Date : 2018-03-01 DOI: 10.1109/IEECON.2018.8712248

Sarutibhat Poluthai, N. Jirasuwankul

引用次数: 1

Optimal Zero-Sequence Selection for Five-Leg Inverter Based on Two-Phase SVPWM Fed Dual Two-Phase Induction Motors 基于两相SVPWM双馈两相感应电机的五腿逆变器最优零序选择

2018 International Electrical Engineering Congress (iEECON) Pub Date : 2018-03-01 DOI: 10.1109/IEECON.2018.8712200

Watcharin Promkhun, V. Kinnares, K. Ohyama, Veera Thanyaphirak

引用次数: 2