2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)最新文献_第7页

Generation Expansion Planning Optimized by Genetic Algorithm Considering Seasonal Impact and Fuel Price 考虑季节影响和燃料价格的遗传算法优化的发电扩展规划

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) Pub Date : 2022-02-24 DOI: 10.1109/icaeee54957.2022.9836588

Tafsir Ahmed Khan, Syed Abdullah-Al-Nahid, Md. Abu Taseen, S. Tasnim, T. Aziz

引用次数: 0

FPGA Implementation of Multiple Single Phase PWM Inverters with Configurable Duty Cycle and Dead Time 可配置占空比和死区时间的多个单相PWM逆变器的FPGA实现

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) Pub Date : 2022-02-24 DOI: 10.1109/icaeee54957.2022.9836383

Md. Sohel Rana, Mamun Bepari, K. Ghosh, M. Abedin

{"title":"FPGA Implementation of Multiple Single Phase PWM Inverters with Configurable Duty Cycle and Dead Time","authors":"Md. Sohel Rana, Mamun Bepari, K. Ghosh, M. Abedin","doi":"10.1109/icaeee54957.2022.9836383","DOIUrl":"https://doi.org/10.1109/icaeee54957.2022.9836383","url":null,"abstract":"Nowadays power inverters are widely used in various applications which range from domestic to industrial facilities. The Pulse Width Modulation (PWM) techniques are extensively used for the controlling of inverter circuit in which dead time, duty cycle, and frequency are important performance parameters. In the case of controlling multiple inverters with a single controller, control signals with embedded dead-time for all the inverters may lead to poor performance for some inverters due to shoot through and controlling of multiple inverters with common duty cycle and frequency cannot fulfill the requirement. Moreover, the use of an individual controller for each inverter is not cost-effective. In this work, the PWM switching strategies are designed with Verilog Hardware Description Language (HDL) and implemented using Xilinx Spartan-6 Nexys3 FPGA with precise control of dead time, duty cycle and frequency. This FPGA based controller enables us to control any inverter designed for a specific purpose and the same inverter for different applications by configuring its frequency and duty cycle. For the present work, we have generated six PWM signals with three different dead times and duty cycles which can control three single-phase PWM inverters with specified dead time and found that FPGA implementation provide desired output with negligible distortion avoiding shoot through.","PeriodicalId":383872,"journal":{"name":"2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)","volume":"2001 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131799015","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

Life Time Enhancement of Wireless Sensor Network by Modified Threshold of LEACH Protocol 改进LEACH协议阈值的无线传感器网络寿命增强

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) Pub Date : 2022-02-24 DOI: 10.1109/icaeee54957.2022.9836428

Mohammad Hanif, Md. Saiful Islam

{"title":"Life Time Enhancement of Wireless Sensor Network by Modified Threshold of LEACH Protocol","authors":"Mohammad Hanif, Md. Saiful Islam","doi":"10.1109/icaeee54957.2022.9836428","DOIUrl":"https://doi.org/10.1109/icaeee54957.2022.9836428","url":null,"abstract":"Due to the low power storing capability, extending the life span of microsensors in wireless sensor networks (WSN) is a difficult task. To maximize the lifespan of microsensors by reducing the dissipation of energy, Low Energy Adaptive Clustering Hierarchy (LEACH) protocol is utilized. In this study, the LEACH protocol's threshold selection is modified in order to identify the best cluster head to extend the lifetime of WSN. The authors looked at two modified LEACH protocols (mLEACH1 and mLEACH2) to minimize energy consumption, as well as to improve the sensor nodes' lifespan. Furthermore, the performance of these two modified LEACH protocols is evaluated by comparing them to the conventional LEACH protocol with respect to number of dead nodes and amount of energy left in the network. According to the analysis of FND (first node dead) and HNA (half node alive) performances, the mLEACH1 can improve the sensor network's lifetime by 4.24% to 8.67% compared to traditional LEACH. Moreover, by lowering sensor nodes' death rate and maintaining the WSN's energy dissipation rate lower for a longer period of time, mLEACH2 can extend the network's lifespan by 253.73% and 331.5% for FND and HNA, respectively, when compared to standard LEACH.","PeriodicalId":383872,"journal":{"name":"2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)","volume":"17 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131550782","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

Reducing Fuel Dependency of Electric Vehicles using Hybrid Renewable Energy System 使用混合可再生能源系统降低电动汽车对燃料的依赖

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) Pub Date : 2022-02-24 DOI: 10.1109/icaeee54957.2022.9836477

M. Alam, Moin Uddin Siddique, H. Sakib, Imtiaz Hossain, Iftekher Alam Rahat

{"title":"Reducing Fuel Dependency of Electric Vehicles using Hybrid Renewable Energy System","authors":"M. Alam, Moin Uddin Siddique, H. Sakib, Imtiaz Hossain, Iftekher Alam Rahat","doi":"10.1109/icaeee54957.2022.9836477","DOIUrl":"https://doi.org/10.1109/icaeee54957.2022.9836477","url":null,"abstract":"A hybrid energy system combines two or more renewable energy sources to improve system efficiency and supply balance. Vehicles will be a huge source of power. Among all renewable energy sources, solar and wind are the most efficient to attach to a car. The Hybrid Renewable Energy Vehicle System (HREVS) proposes charging the vehicle's battery with hybrid renewable energy sources. This work's major goals are to minimize vehicle dependence on fossil fuels, increase reliance on renewable energy sources, and lower fuel costs. Development of a full battery charging system each photovoltaic and wind model is designed separately, then combined with a charge controller and a battery. A maximum power point tracking system and code have been developed for solar tracking using the Perturb and Observe (P & O) method. State of Charge (SOC) controls the battery's charging and draining. We tried to address the issues raised above. A desired output result from a hybrid energy configuration has also been explored. All simulation and setup are done in MATLAB-SIMULINK. Blender creates a 3D model of a hybrid car. A minor expansion created and controlled using Arduino-UNO is also included. The results of the experiments and simulations suggest that the proposed system can generate power and reduce fuel usage.","PeriodicalId":383872,"journal":{"name":"2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124320375","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

A Modified CNN And Fuzzy AHP Based Breast Cancer Stage Detection System 基于改进CNN和模糊层次分析法的乳腺癌分期检测系统

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) Pub Date : 2022-02-24 DOI: 10.1109/icaeee54957.2022.9836541

Tasmima Noushiba Mahbub, M. Yousuf, M.N. Uddin

引用次数: 3

Design and Development of an IoT based Power Monitoring and Management System 基于物联网的电力监控与管理系统的设计与开发

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) Pub Date : 2022-02-24 DOI: 10.1109/icaeee54957.2022.9836390

Foez Ahmed, Arif Ahammad

引用次数: 0

Analysis of the Impact of Various Properties of High Voltage Discharge for Deactivation of Water Algae 高压放电各种特性对水藻灭活的影响分析

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) Pub Date : 2022-02-24 DOI: 10.1109/icaeee54957.2022.9836426

M. Halim, Ruma

引用次数: 0

Impact of Body Proximity on Body Worn Textile Antenna Performance 车身接近对车身磨损织物天线性能的影响

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) Pub Date : 2022-02-24 DOI: 10.1109/icaeee54957.2022.9836377

Sadia Enam, M. Rana

引用次数: 0

A Comparative Study of Robust Optimal Controllers for Grid Voltage Control in Islanded Microgrids 孤岛微电网电压鲁棒最优控制器的比较研究

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) Pub Date : 2022-02-24 DOI: 10.1109/icaeee54957.2022.9836351

Sanjid-E-Elahi, M. Rahman, Md. Alamgir Hossain, M. Sikder

{"title":"A Comparative Study of Robust Optimal Controllers for Grid Voltage Control in Islanded Microgrids","authors":"Sanjid-E-Elahi, M. Rahman, Md. Alamgir Hossain, M. Sikder","doi":"10.1109/icaeee54957.2022.9836351","DOIUrl":"https://doi.org/10.1109/icaeee54957.2022.9836351","url":null,"abstract":"This paper presents several optimized control methods for voltage control of an islanded microgrid connected through an inverter system. The control methodology of the microgrid is based on converter control using the PWM. Optimal controllers such as Linear Quadratic Regulator (LQR), Linear Quadratic Integrator (LQI) and Linear Quadratic Gaussian (LQG) are developed to control the voltage of converters. A robust optimal controller provides fast dynamic response and is capable of resisting voltage fluctuations from instantaneous reference grid voltage; to control the inverter voltage that can be utilized in a microgrid (MG). The proposed control strategies basically allow the MG to be controlled with minimum control input while impeding voltage deviation from a reference voltage during disturbances in the power system, such as sudden load change. The performance of designed controllers has been compared against linear and non-linear loads with several conditions. The studied systems are modeled and simulated in the MATLAB/SIMULINK environment and the comparison results show that both LQI and LQG controllers provide good tracking and reasonable performance.","PeriodicalId":383872,"journal":{"name":"2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116109572","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

Diabetes Complication Prediction using Deep Learning-Based Analytics 基于深度学习分析的糖尿病并发症预测

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) Pub Date : 2022-02-24 DOI: 10.1109/icaeee54957.2022.9836401

Takrim Rahman Albi, Md Nakhla Rafi, Tasfia Anika Bushra, Dewan Ziaul Karim

{"title":"Diabetes Complication Prediction using Deep Learning-Based Analytics","authors":"Takrim Rahman Albi, Md Nakhla Rafi, Tasfia Anika Bushra, Dewan Ziaul Karim","doi":"10.1109/icaeee54957.2022.9836401","DOIUrl":"https://doi.org/10.1109/icaeee54957.2022.9836401","url":null,"abstract":"The high levels of blood sugar (or glucose) that occur in diabetes can damage organs such as the heart, blood vessels, eyes, kidneys, and nerves in time. Type 2 diabetes typically affects adults and is most prevalent in adults due to an insufficient supply of insulin. On the other hand, Diabetes type 1, also known as juvenile diabetes or insulin-dependent diabetes, is a chronic disease in which the body cannot produce insulin on its own. Diabetes prevalence has increased over the past three decades at every income level. Affordable treatment is vital for those with diabetes. Several cost-effective interventions can improve patient outcomes. However, a diagnosis of this disease can be costly and difficult. The aim of this research is, therefore, to demonstrate a comparative analysis and improved performance using deep learning to classify diabetic and non-diabetic patients that will provide a feasible way to diagnose this chronic disease. In this work, we used a neural network model with very low variance applying the synthetic minority oversampling technique to augment and improve the variety of data. By removing imbalances and classifying diabetes based on different features, our model achieved an accuracy of approximately 99 % for training and 98 % for validation.","PeriodicalId":383872,"journal":{"name":"2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)","volume":"46 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129383404","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: 2