2019 Fifth International Conference on Electrical Energy Systems (ICEES)最新文献_第4页

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2019 Fifth International Conference on Electrical Energy Systems (ICEES) Pub Date : 2019-02-01 DOI: 10.1109/icees.2019.8719305

引用次数: 0

Design and Modelling of anAffordable UAV Based Pesticide Sprayer in Agriculture Applications 农用无人机农药喷雾器的设计与建模

2019 Fifth International Conference on Electrical Energy Systems (ICEES) Pub Date : 2019-02-01 DOI: 10.1109/ICEES.2019.8719237

Venkata Subba Rao P, S. Gorantla

引用次数: 21

Experimental Study of Electrical Characteristics of High Voltage Bushing under Single Dry Band Conditions 单干带条件下高压套管电特性试验研究

2019 Fifth International Conference on Electrical Energy Systems (ICEES) Pub Date : 2019-02-01 DOI: 10.1109/ICEES.2019.8719238

S. Lakshmi, R. Maheswari, B. Vigneshwaran

引用次数: 0

Deep Learning method to predict Electric Vehicle power requirements and optimizing power distribution 基于深度学习方法的电动汽车功率需求预测与优化功率分配

2019 Fifth International Conference on Electrical Energy Systems (ICEES) Pub Date : 2019-02-01 DOI: 10.1109/ICEES.2019.8719243

Nectar Jinil, S. Reka

{"title":"Deep Learning method to predict Electric Vehicle power requirements and optimizing power distribution","authors":"Nectar Jinil, S. Reka","doi":"10.1109/ICEES.2019.8719243","DOIUrl":"https://doi.org/10.1109/ICEES.2019.8719243","url":null,"abstract":"The automotive industry is moving toward a more cleaner energy source and the usage of Electric Vehicles is increasing. One of the major problems of the electricvehicle is the driving range covered with a fully charged battery. The main reason for this is the power consumption by different electronic components in the vehicle. The major source of power consumption is an electric motor, and apart from this, there are many other electric units in the vehicle which consumes power.To achieveoptimalpowerdeliveredtothedifferentpowerconsuming components and delivering the optimal required power to the electric motor and thereby the increasing the driving range of the electric vehicle is a major challenge. In the proposed method, a deep learning algorithm based on MRNN (Modular Recurrent Neural network) is used to predict the power requirements of the electric vehicle from different data inside the vehicle. The proposed method uses different data and parameter from the electric vehicle like power requirement to the electric motor under different driving conditions, power requirements of other devices in the vehicle are used to model the system and with the MRNN deep learning algorithm to train the network to predictthepowerrequirementsandprovidingoptimalpowerand thereby enhancing the driving range. By predicting the power demand of the vehicle, the battery power distribution to the motor can be more optimized as instead of delivering the power as such it can be controlled based on the classification of the powerdemand.","PeriodicalId":421791,"journal":{"name":"2019 Fifth International Conference on Electrical Energy Systems (ICEES)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130735630","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: 7

KY Based DC-DC Converter for Standalone Photovoltaic Water Pumping System Employing Four Switch BLDC Drive 基于KY的四开关无刷直流驱动单机光伏水泵系统DC-DC变换器

2019 Fifth International Conference on Electrical Energy Systems (ICEES) Pub Date : 2019-02-01 DOI: 10.1109/icees.2019.8719316

Thrishna Jayaraj, G. Justin Sunil Dhas

引用次数: 2

Transient stability improvement of Microgrid using Series Active Power Filters 串联有源滤波器改善微电网暂态稳定性

2019 Fifth International Conference on Electrical Energy Systems (ICEES) Pub Date : 2019-02-01 DOI: 10.1109/icees.2019.8719297

M. M. Rao, M. K

引用次数: 2

Renewable Biofuel - A Macro Algal Test Study Through its Performance and Emission Analysis 可再生生物燃料——通过其性能和排放分析的宏观藻类试验研究

2019 Fifth International Conference on Electrical Energy Systems (ICEES) Pub Date : 2019-02-01 DOI: 10.1109/ICEES.2019.8719293

Godwin John J, H. Venkatesan, S. Sivamani

{"title":"Renewable Biofuel - A Macro Algal Test Study Through its Performance and Emission Analysis","authors":"Godwin John J, H. Venkatesan, S. Sivamani","doi":"10.1109/ICEES.2019.8719293","DOIUrl":"https://doi.org/10.1109/ICEES.2019.8719293","url":null,"abstract":"This study focuses on producing the biofuel from a renewable algal energy source and test the behavior of the algal biodiesel in a single cylinder diesel engine. The algal biodiesel is produced by the algal oil, extracted from the dried macro algal biomass. The influence of this renewable biofuel is studied through its performance and emission characteristics. The renewable biofuel source, used in this study is Stoechospermum Marginatum, a brown seaweed from coastal regions of Tamil Nadu. The wet biomass collected is oven dried for an hour and then sun dried for twelve hours. The dried biomass is processed through Soxhlet lipid extraction process for isolating the oil. The remaining sludge is processed through ultra-sonication for maximum oil extraction. The extracted oil on single stage transesterification process produced the fatty acid methyl esters. The oil to biodiesel conversion efficiency is found to be 91%. The fuel properties are tested as per the standard procedure which met the EN14214 standards. The methyl esters are tested for its emission and performance characteristics. Algal biodiesel exhibited a higher brake specific fuel consumption along with similar values of brake thermal efficiency on comparison with mineral diesel. The emissions of HC, CO, Smoke are found to be lower except for NOx emission. Based on the present investigation, it is concluded that the algal biofuel can be used as an alternate for the diesel fuel.","PeriodicalId":421791,"journal":{"name":"2019 Fifth International Conference on Electrical Energy Systems (ICEES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114217648","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: 4

Detection of Retinal Lesions Based on Deep Learning for Diabetic Retinopathy 基于深度学习的糖尿病视网膜病变检测

2019 Fifth International Conference on Electrical Energy Systems (ICEES) Pub Date : 2019-02-01 DOI: 10.1109/ICEES.2019.8719242

K. Maya, K. S. Adarsh

{"title":"Detection of Retinal Lesions Based on Deep Learning for Diabetic Retinopathy","authors":"K. Maya, K. S. Adarsh","doi":"10.1109/ICEES.2019.8719242","DOIUrl":"https://doi.org/10.1109/ICEES.2019.8719242","url":null,"abstract":"Diabetic retinopathy (DR), is a physical condition that appear due to damages in the vessels of retina. It can occur if person have type one or type two diabetics. Also it occur due to high sugar levels in blood. At starting there is only mild vision problems eventually lose sight. It is an ordinary eye disease found in people with diabetes. This paper automatically and efficiently detect and classify the severity of DR. The first stepis Pre-processing, here perform Green channel extraction, Blood vessel extraction and Optic Disc (OD)removal. Green channel extraction is done to enhance the contrast. Kernel fuzzy c-means is usedto extract blood vessels and OD is removed by morphological operation. The next step isRecognition of Diabetic features, in this first is to recognize Hard Exudates, which is based on recursive region growing segmentation (RRGS) algorithm. The second one is recognition of Hemorrhages (HEM) and Micro aneurysms (MA) by using Matched Filtering, Laplacian of Gaussian Filtering, and Mutual Information Maximization using DE. From these extract features such as the microneurysms (MAs) counts, perimeter, area and exudate count, the area and perimeter of blood vessels. Then the extracted features are fed to CNN for classification purpose. This method reducing the workload of an ophthalmologist with an accuracy of around 98%.","PeriodicalId":421791,"journal":{"name":"2019 Fifth International Conference on Electrical Energy Systems (ICEES)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121374780","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: 7

IoT based Smart Health Care System to Prevent Security Attacks in SDN 基于物联网的智能医疗系统防止SDN中的安全攻击

2019 Fifth International Conference on Electrical Energy Systems (ICEES) Pub Date : 2019-02-01 DOI: 10.1109/ICEES.2019.8719236

A. Srilakshmi, P. MohanaPriya, D. Harini, K. Geetha

{"title":"IoT based Smart Health Care System to Prevent Security Attacks in SDN","authors":"A. Srilakshmi, P. MohanaPriya, D. Harini, K. Geetha","doi":"10.1109/ICEES.2019.8719236","DOIUrl":"https://doi.org/10.1109/ICEES.2019.8719236","url":null,"abstract":"In the era of Internet of things world and the advancement of communication technologies which lead to a great development in health care. Since there is a hasty growth in electronic devices mainly sensors, smart phones communication has been made wireless and become a basic need for day-to -day life. This Internet of Things which makes use of sensors and communication technologies (i.e)., Wireless Sensor Networks can be connected and communicated with a human to detect the disease. This requires the intervention of cloud technology which enables on demand computing for Internet of Things data. The sensors which are connected to physical environment senses the values based on the source to which it is connected and those values are captured to the cloud. The cloud serves as a good health care platform for analytics, security of the sensed medical data. The collected health reports are generated on top of Software Defined Networking in which the SDN controller is incorporated at the Amazon cloud. The confidential health reports existing in the cloud should be free from network security attacks. Immediate alerts could be sent to the nurse or doctor based on the sensed information. Many diseases can be detected earlier and proper drug can be suggested to the patient in the absence of health care specialist. In this work number of sensors has been collected that is used in medical field and what service is provided by the targeted cloud is relevant to medical field.","PeriodicalId":421791,"journal":{"name":"2019 Fifth International Conference on Electrical Energy Systems (ICEES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129994959","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: 10

Performance and Comparative Analysis of Hybrid Controllers Implemented to Hybrid Energy Storage System of Electric Vehicles 应用于电动汽车混合储能系统的混合控制器性能及对比分析

2019 Fifth International Conference on Electrical Energy Systems (ICEES) Pub Date : 2019-02-01 DOI: 10.1109/ICEES.2019.8719308

Raghavaiah Katuri, S. Gorantla

引用次数: 8