2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)最新文献_第2页

Modified Nine Level Multi Level Inverter Topology for Trinary Sequences with Reduced Switches and Switching Losses 减少开关和开关损耗的改进九电平多电平逆变器拓扑结构

2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT) Pub Date : 2021-08-27 DOI: 10.1109/RTEICT52294.2021.9573773

H. S. Chaithra, C. B. Shankaralingappa

引用次数: 0

Insolation prediction for reliable energy storage using deep learning algorithms 利用深度学习算法进行可靠储能的日照预测

2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT) Pub Date : 2021-08-27 DOI: 10.1109/RTEICT52294.2021.9573923

Himanshu Priyadarshi, Kulwant Singh, A. Shrivastava

{"title":"Insolation prediction for reliable energy storage using deep learning algorithms","authors":"Himanshu Priyadarshi, Kulwant Singh, A. Shrivastava","doi":"10.1109/RTEICT52294.2021.9573923","DOIUrl":"https://doi.org/10.1109/RTEICT52294.2021.9573923","url":null,"abstract":"Renewable energy in the form of insolation, is abundantly available in India, and one can reap huge profits by provisioning smart energy storage systems based on solar photovoltaic energy. Government and energy utility authorities incentivize the individual as well as industries for harnessing solar energy through multiple initiatives. However, consistent long-term revenues can be gained only when there is good performance with reliability. Profitable deployment of solar photovoltaic panels cannot be realized to its best unless the reliability is at par with the competitors in this domain. Hence, deep learning models are very resourceful for reliably accurate prediction associated with the availability of solar radiation to enable the intelligence of the energy storage management system to take suitable rectification measures whenever insolation varies. This provides robustness and flexibility to the energy storage system. In this work, open-source dataset of weather in Jaipur has been utilized to train the regression model using 5 deep learning techniques, and these methods have been compared using parameters like root mean square error, mean absolute error, as well as the time complexity of the algorithms. The efficacy of regression algorithm has been represented by the residuals as well as deviation of the predicted value from the true value. The choice between the accuracy, indicated by the error metrics, and the time complexity, indicated by the training speed can be made judiciously depending on the utility of prediction.","PeriodicalId":191410,"journal":{"name":"2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132479872","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

Performance Analysis of Light Illuminations and Image Quality Variations and its Effects on Face Recognition 光照和图像质量变化性能分析及其对人脸识别的影响

2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT) Pub Date : 2021-08-27 DOI: 10.1109/RTEICT52294.2021.9573864

Harshada Badave, M. Kuber

引用次数: 1

A Complete Telemetry Solution for COVID-19 Infected Person by Using IoT 利用物联网为COVID-19感染者提供完整的遥测解决方案

2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT) Pub Date : 2021-08-27 DOI: 10.1109/RTEICT52294.2021.9573887

Amit Abhishek, N. Suman, R. Priya, Adarsh Kumar, A. Utsav

{"title":"A Complete Telemetry Solution for COVID-19 Infected Person by Using IoT","authors":"Amit Abhishek, N. Suman, R. Priya, Adarsh Kumar, A. Utsav","doi":"10.1109/RTEICT52294.2021.9573887","DOIUrl":"https://doi.org/10.1109/RTEICT52294.2021.9573887","url":null,"abstract":"In this paper we are defining a complete solution for Covid-19 infected persons using telemedicine and IoT. In this proposed work we mainly focused of proper care and monitoring of the infected patient from the beginning. We had also added a feature of online medical supports like availability of beds in particular hospitals, E medicine and other medical equipment buying facilities, online consultation to doctors, E medical support for emergency, online ambulance support, online request for pathology and radiology, complete monitoring of the patient from day one. The process will start from registration and then one can go for its further options. The proposal had also added a unique feature in the system that the treatment given to the infected person will also be shared to the family member of the patient through registered channel. The novelty of this system lies in providing the patients with an organized setup of smart healthcare which makes healthcare easy. We had discussed the working models for the different works associated with final our proposed system. This proposed system aims lesser human intervention with better medical facilities to covid-19 patients.","PeriodicalId":191410,"journal":{"name":"2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133247645","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

Hybrid Density-based Adaptive Clustering using Gaussian Kernel and Grid Search 基于高斯核和网格搜索的混合密度自适应聚类

2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT) Pub Date : 2021-08-27 DOI: 10.1109/RTEICT52294.2021.9573728

Varsha R Jenni, Akhil Dua, G. Shobha, Jyoti Shetty, R. Dev

引用次数: 1

LDP VIDEO TARGET SIMULATOR for Testing Mission Software in Combat Aircrafts 用于测试作战飞机任务软件的LDP视频目标模拟器

2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT) Pub Date : 2021-08-27 DOI: 10.1109/RTEICT52294.2021.9573853

H. V. Kumaraswamy, R. Pruthu, Nirmal C.M. Jain, Veluri Sai Teja, T.S Yathisha

{"title":"LDP VIDEO TARGET SIMULATOR for Testing Mission Software in Combat Aircrafts","authors":"H. V. Kumaraswamy, R. Pruthu, Nirmal C.M. Jain, Veluri Sai Teja, T.S Yathisha","doi":"10.1109/RTEICT52294.2021.9573853","DOIUrl":"https://doi.org/10.1109/RTEICT52294.2021.9573853","url":null,"abstract":"The principle aim of this paper is to develop simulators which can help test the mission software available at the facility. This is achieved by developing a simulator which emulates the functionalities of LDP generated video, which is LDP Video Target Simulator. But to use this simulator standalone, it requires data as input which can emulate the functionality of data being received at mission computers from various systems, such as velocity, altitude, GPS, INS etc. These data are simulated using the LDP data simulator. This simulator is used to test the LDP Video Target Simulator, which is the objective of this project. Data fed from the LDP data generator is used to calculate the results, which indicates that the LDP video simulator shows realistic and accurate locations on the map, with only a few meters difference from the actual position from the provided parameters. The calculation of other parameters like distance, azimuth angle, slant angle from the simulation results is recorded to be accurate to 3 meters, which is discussed in detail in further sections.","PeriodicalId":191410,"journal":{"name":"2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115475017","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

Machine Learning and IoT Based EEG Signal Classification for Epileptic Seizures Detection 基于机器学习和物联网的脑电图信号分类检测癫痫发作

2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT) Pub Date : 2021-08-27 DOI: 10.1109/RTEICT52294.2021.9573727

A. Chittala, Tharun Bhupathi, D. Alakunta, Nikhil Kumar Punna

{"title":"Machine Learning and IoT Based EEG Signal Classification for Epileptic Seizures Detection","authors":"A. Chittala, Tharun Bhupathi, D. Alakunta, Nikhil Kumar Punna","doi":"10.1109/RTEICT52294.2021.9573727","DOIUrl":"https://doi.org/10.1109/RTEICT52294.2021.9573727","url":null,"abstract":"Epilepsy is one of the most common chronic neurological disorders, affecting approximately 50 million people worldwide according to the World Health Organization. This disorder mainly presents four kinds of events: pre-ictal, ictal, post-ictal, and inter-ictal. Epilepsy can be diagnosed through an electroencephalogram (EEG). Inter-ictal activity is one of the widely accepted epilepsy symptoms on an EEG. However, the differentiation between normal and inter-ictal EEG segments is difficult because they can have similar patterns. Also, EEG from patients with epilepsy can contain normal events. In this work, we built classifiers to differentiate between normal, ictal, and inter-ictal EEG. Using Discrete Wavelet Transform multilevel decomposition of the signal is done. At each stage, the vital features are collected from the approximation and detailed coefficients belonging to a certain frequency range where the epilepsy is identifiable. Some of the features are directly extracted from the EEG signal. The machine learning algorithm is used to train and test the wide range of classifiers that suits the signal. This proposed method is implemented and tested with 98 percent accuracy. Here an emergency mail is sent to the doctor if any abnormality is found in the EEG signal using the Internet of Things (IoT).","PeriodicalId":191410,"journal":{"name":"2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114591799","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

Discharge analysis and temperature management of LiFePO4 battery pack for Electric Vehicles 电动汽车用磷酸铁锂电池组放电分析及温度管理

2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT) Pub Date : 2021-08-27 DOI: 10.1109/RTEICT52294.2021.9573908

Peeyush Garg, Vishnu Goyal, S. Bhattacharya, Deepika Bansal

{"title":"Discharge analysis and temperature management of LiFePO4 battery pack for Electric Vehicles","authors":"Peeyush Garg, Vishnu Goyal, S. Bhattacharya, Deepika Bansal","doi":"10.1109/RTEICT52294.2021.9573908","DOIUrl":"https://doi.org/10.1109/RTEICT52294.2021.9573908","url":null,"abstract":"The Advancement in battery technology and need of pollution free machines rises the demand of electrical vehicles exponentially. The performance and cost of electrical vehicles are majorly relied on the battery pack used. Battery packs are available with numerous configurations of cells as per the energy demand of electrical system. The electrical cell has been undergoing in protentional research in term of material used and methods of arrangement in battery pack. Now a days, most of the electrical vehicles are preferred the Li-ion battery due to the high energy density and low self-discharge rate. The performance of Li-Ion battery depends on the load arrangement and temperature mainly, so proper discharge analysis and temperature management is needed. Present work includes the discharge analysis of LiFePO4 battery pack and develop a control unit, which managed the cell temperature under critical ranges and ensure safe operation. The configured battery pack 1P3S has been modelled on MATLAB-SIMULINK, and battery's performances were studied with the implementation of design control mechanism. The designed control unit is used to rheostat a power switch and cooling mechanism. A MOSFET is used as a power switch to regulate the discharging current through load, and ambient temperature is regulated by optimal use of cooling mechanism.","PeriodicalId":191410,"journal":{"name":"2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125902202","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 millimeter-wave microstrip patch antenna and 1×4 array for 5G communication 用于5G通信的毫米波微带贴片天线和1×4阵列

2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT) Pub Date : 2021-08-27 DOI: 10.1109/RTEICT52294.2021.9574006

Mamta Singh, Garima Tiwari

引用次数: 1

Design And Implementation Inteligent Inverter For Grid Connected PV System 并网光伏系统智能逆变器的设计与实现

2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT) Pub Date : 2021-08-27 DOI: 10.1109/RTEICT52294.2021.9573627

V. K. Sharma, Avinash Sharma, R. Goyal, B. Rathor

{"title":"Design And Implementation Inteligent Inverter For Grid Connected PV System","authors":"V. K. Sharma, Avinash Sharma, R. Goyal, B. Rathor","doi":"10.1109/RTEICT52294.2021.9573627","DOIUrl":"https://doi.org/10.1109/RTEICT52294.2021.9573627","url":null,"abstract":"Power generation from solar PV sources is increasing exponentially due to increased requirement of green energy. The penetration of renewable energy sources like solar Photo Voltaic (PV) and wind energy is increasing. In this study, electrical power is generate from solar energy using solar photovoltaic cell. The system is designed of PV module with associated with MPPT control DC/DC boost converters with load and connected with power grid by using 3-Φ inverter (DC-AC converter). Various control techniques are adopted to make the output suitable for controlling the converter. The Perturb & Observe (P&O) method used for the MPPT with boost converter. The PI control technique with and without Fuzzy Logic Controller (FLC) are utilized with inverter (DC/AC converter) to observe various output response and analysis of total harmonics distortion in ac output current at grid side. This study presents comparison between the PI control technique with and without Fuzzy Logic Controller (FLC) are utilized with inverter (DC/AC converter) to observe various output response and analysis of total harmonics distortion in ac output current at grid side for grid connected Solar PV system which provides a convenient choice of right technique for system.","PeriodicalId":191410,"journal":{"name":"2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127288549","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