2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON)最新文献

TEECCON 2022 TOC 2022敲

2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON) Pub Date : 2022-05-26 DOI: 10.1109/teeccon54414.2022.9854823

引用次数: 0

Linear Regression Tree and Homogenized Attention Recurrent Neural Network for Online Training Classification 线性回归树和均质注意递归神经网络用于在线训练分类

2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON) Pub Date : 2022-05-26 DOI: 10.1109/TEECCON54414.2022.9854833

Yadhunandan K K A, Sujatha Arun Kokatnoor

{"title":"Linear Regression Tree and Homogenized Attention Recurrent Neural Network for Online Training Classification","authors":"Yadhunandan K K A, Sujatha Arun Kokatnoor","doi":"10.1109/TEECCON54414.2022.9854833","DOIUrl":"https://doi.org/10.1109/TEECCON54414.2022.9854833","url":null,"abstract":"Internet has become a vital part in people’s life with the swift development of Information Technology (IT). Predominantly the customers share their opinions concerning numerous entities like, products, services on numerous platforms. These platforms comprises of valuable information concerning different types of domains ranging from commercial to political and social applications. Analysis of this immeasurable amount of data is both laborious and cumbersome to manipulate manually. In this work, a method called, Linear Regression Tree-based Homogenized Attention Recurrent Neural Network (LRT-HRNN) for online training is proposed. In the first step, a dataset consisting of student’s reactions on E-learning is provided as input. A Linear Regression Decision Tree (LRT) - based feature (i.e., student’s reactions and posts) selection model is applied in the second step. The feature selection model initially selects the commonly dispensed features. In the last step, HRNN sentiment analysis is employed for aggregating characterizations from prior and succeeding posts based on student’s reactions for online training. During the experimentation process, LRT-HRNN method when compared with existing methods such as Attention Emotion-enhanced Convolutional Long Short Term Memory (AEC-LSTM) and Adaptive Particle Swarm Optimization based Long Short Term Memory (APSO-LSTM, performed better in terms of accuracy(increased by 6%), false positive rate (decreased by 22%), true positive rate (increased by 7%) and computational time (reduced by 21%).","PeriodicalId":251455,"journal":{"name":"2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128206170","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

Designing of Six Wheel Robotic Vehicle for Instant Disinfection and Sanitization 即时消毒卫生六轮机器人车的设计

2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON) Pub Date : 2022-05-26 DOI: 10.1109/TEECCON54414.2022.9854819

Siripireddy Venkateswarlu Reddy, T. Prakash, Jarapala Siva Naik, S. Ramakrishnan, J. J. D. Raj, B. Bhargavi

{"title":"Designing of Six Wheel Robotic Vehicle for Instant Disinfection and Sanitization","authors":"Siripireddy Venkateswarlu Reddy, T. Prakash, Jarapala Siva Naik, S. Ramakrishnan, J. J. D. Raj, B. Bhargavi","doi":"10.1109/TEECCON54414.2022.9854819","DOIUrl":"https://doi.org/10.1109/TEECCON54414.2022.9854819","url":null,"abstract":"In today’s global pandemic situation, as countries implement restrictions in an effort to reduce the number of persons infected with COVID-19, many people are attempting to make significant modifications to their everyday routines. The Covid-19 pandemic has resulted in a severe loss of human life, especially among frontline workers, who are mostly those who operate in the sanitization and disinfection profession. The main objective of this paper is to develop a unmanned vehicle for instant disinfection and sanitize an area using a 6 WD Robot with achieving the proper and most important aim of unmanned operation using the vehicle with the help of 2.4 Ghz Radio link which provides the system or vehicle the flexibility of going anywhere covering a large distance without humans directly getting affected. It uses the functions of UV rays for the complete disinfection with the mixture, Using UV Lights and ethanol IP (95% v/v) – 62.00% w/w equivalent to 84.24% v/v* absolute alcohol denatured with isopropyl alcohol 3.1% Disinfect the area by simultaneously spraying and flashing the light used for complete eradication of Virus and sanitization of the places. This unmanned vehicle is developed for a 6WD vehicle based on the terrain and atmosphere. Need to design the appropriate body/frame, spray mechanism, payload tank, and atomizer for the 6WD vehicle. In terms of hygiene, it will have a significant influence since spots that are too tiny for humans to get will be accessible with the help of this machine.","PeriodicalId":251455,"journal":{"name":"2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124709257","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

Performance comparison of T-ZSI, ZSI and VSI based on the power loss during switching operation of installed power IGBT switch for EV Applications 基于电动汽车安装功率IGBT开关开关运行过程中功率损耗的T-ZSI、ZSI和VSI性能比较

2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON) Pub Date : 2022-05-26 DOI: 10.1109/TEECCON54414.2022.9854826

Manish Bharat, A. Murty

{"title":"Performance comparison of T-ZSI, ZSI and VSI based on the power loss during switching operation of installed power IGBT switch for EV Applications","authors":"Manish Bharat, A. Murty","doi":"10.1109/TEECCON54414.2022.9854826","DOIUrl":"https://doi.org/10.1109/TEECCON54414.2022.9854826","url":null,"abstract":"In this paper Trans-Z source inverter (.T-ZSI), Z Source Inverter (.ZSI) and Voltage source inverter (VSI) topology performance is compared, analyzed and power loss due to switching of IGBT is calculated under time domain. During the switching operation, power loss depends on the numbers of switches, ratings and specifications. Various PWM techniques are used to overcome the losses due to switching sequence. By varying modulation index (M) to a particular level ¿ 1, power loss in T-ZSI and ZSI is minimized. To determine the losses, mathematical formulation in time domain is framed. Based on the power loss during switching operation, motors for Electrical Vehicle (EV) are selected. For lower input voltage 400V, VSI topology is selected which boost the voltage to 600V and gives better performance compared to T-ZSI and ZSI in all the operating points. Whereas T-ZSI and ZSI used its shoot through states to boost the voltage during off condition. An experimental setup with a input of 400V, 600V,800V and 1200V having maximum frequency of 15Khz is selected and the power loss across the IGBT switches is calculated for three different inverter topologies. The Electric Vehicles/Hybrid Electric Vehicles are considered as the main transportation vehicles of future as they use non fossil fuels. These are feature rich, easy to handle, operate and durable with high reliability [3]. The proposed research is intended to explore the possibility of increasing the driving range of the Electric Vehicles (EVs) with a smart power electronic converter having high efficiency and reliability","PeriodicalId":251455,"journal":{"name":"2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126841932","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

VCXO Methodology to Achieve wide Frequency Pulling in Low Profile for Space Applications 在空间应用中实现低轮廓宽频率牵引的VCXO方法

2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON) Pub Date : 2022-05-26 DOI: 10.1109/TEECCON54414.2022.9854820

Anjali N, Chandrashekar Mariyappa, D. M

引用次数: 0

Novel Adders for Xilinx Versal FPGAs Xilinx通用fpga的新型加法器

2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON) Pub Date : 2022-05-26 DOI: 10.1109/TEECCON54414.2022.9854831

Chinmaya Dash

引用次数: 0

Human and Object Detection using Machine Learning Algorithm 使用机器学习算法的人和物体检测

2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON) Pub Date : 2022-05-26 DOI: 10.1109/TEECCON54414.2022.9854818

Md. Tabil Ahammed, Sudipto Ghosh, Md. Ashikur Rahman Ashik

引用次数: 5

Performance of Solar PV under higher Concentration of Carbon dioxide and Methane 太阳能光伏在高浓度二氧化碳和甲烷下的性能

2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON) Pub Date : 2022-05-26 DOI: 10.1109/TEECCON54414.2022.9854822

B. Patnaik, S. Swain, Ullash Kumar Rout, Ritesh Dash

引用次数: 7

Dynamic Wireless Power Transfer Using an Isolated DC-DC Converter 使用隔离DC-DC转换器的动态无线电力传输

2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON) Pub Date : 2022-05-26 DOI: 10.1109/TEECCON54414.2022.9854514

Harshavardhan Yadav Gangadhara, K. Deepa

{"title":"Dynamic Wireless Power Transfer Using an Isolated DC-DC Converter","authors":"Harshavardhan Yadav Gangadhara, K. Deepa","doi":"10.1109/TEECCON54414.2022.9854514","DOIUrl":"https://doi.org/10.1109/TEECCON54414.2022.9854514","url":null,"abstract":"The use of electric vehicles is increasing exponentially in the real world, to limit the usage of fossil fuels and reduce air pollution. At some point in the near future, internal combustion engine mobility will be overtaken by E-mobility. To gain an advantage over the conventional internal combustion engine, E-mobility has to increase its range. This range extension can be done by battery swapping, or by wireless power transfer. Wireless power transfer is an exponentially growing technology, researchers are working tirelessly and there is rapid development concerning range, size, high frequency, and efficiency. Wireless power transfer is a safer, reliable, cheap, and convenient topology for charging electric vehicles. Dynamic charging of the electric vehicle battery will reduce the need for heavy, large capacity, and costly batteries. In this paper, a dynamic inductive type wireless power transfer for the two-wheeler and last-mile delivery electric vehicles is proposed. Dynamic inductive type wireless power transfer transfers power from AC/DC supply wirelessly and an isolated DC-DC full-bridge converter is implemented at the receiver side to meet the battery requirement. LCL compensating network is used to reduce harmonics and switching losses. Simulations for the proposed system was carried out for the dynamic charging of electric vehicle battery in Matlab and, a comparision of rate of change of SoC with and without isolated DC-DC full-bridge converter is evaluated.","PeriodicalId":251455,"journal":{"name":"2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126175436","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

DC-Microgrid Fault Detection & Classification Using ANN Enabled BAT Algorithm 基于神经网络的BAT算法的直流微电网故障检测与分类

2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON) Pub Date : 2022-05-26 DOI: 10.1109/TEECCON54414.2022.9854825

S. B. Pati, S. K. Barik, Subhasri Kundu, Ritesh Dash, Adithya Ballajhi

引用次数: 0