2022 International Conference on Breakthrough in Heuristics And Reciprocation of Advanced Technologies (BHARAT)最新文献_第4页

A Miniaturized Metamaterial Patch Antenna for C-band Satellite Applications 用于c波段卫星的小型化超材料贴片天线

2022 International Conference on Breakthrough in Heuristics And Reciprocation of Advanced Technologies (BHARAT) Pub Date : 2022-04-01 DOI: 10.1109/BHARAT53139.2022.00012

Jyothsna Undrakonda, Ratna Kumari Upadhyayula

引用次数: 1

Analysis of Ionospheric Perturbations during the Significant Earthquake using GNSS Data 利用GNSS数据分析大地震期间电离层扰动

2022 International Conference on Breakthrough in Heuristics And Reciprocation of Advanced Technologies (BHARAT) Pub Date : 2022-04-01 DOI: 10.1109/BHARAT53139.2022.00014

Shiva Kumar Nimmakayala, V. S. I. Srilatha Indira Dutt

引用次数: 0

Optimal Allocation of Electric Vehicle Charging Station using Symbiotic Organisms Search Algorithm and Reliability Index Approach 基于共生生物搜索算法和可靠性指标法的电动汽车充电站优化配置

2022 International Conference on Breakthrough in Heuristics And Reciprocation of Advanced Technologies (BHARAT) Pub Date : 2022-04-01 DOI: 10.1109/BHARAT53139.2022.00046

R. Chakraborty, D. Das, P. Das

{"title":"Optimal Allocation of Electric Vehicle Charging Station using Symbiotic Organisms Search Algorithm and Reliability Index Approach","authors":"R. Chakraborty, D. Das, P. Das","doi":"10.1109/BHARAT53139.2022.00046","DOIUrl":"https://doi.org/10.1109/BHARAT53139.2022.00046","url":null,"abstract":"It is forecasted that Electric Vehicles (EVs) are the most reliable future technology of the transport sector considering its sustainability and almost negligible carbon emission. To satisfy the power requirement for charging of EV, the distribution network's power loss rises resulting in considerable variations in the voltage and current profile. Inappropriate positioning of EV Charging Stations (EVCS) greatly reduces the distribution system’s power quality. The positioning of EVCS in the IEEE 33 bus radial distribution network is outlined in this paper. For attaining facilities of charging in different positions, the distribution system is being split into three areas and one charging station is being allocated in each area. A multi-objective function has been taken into account with the purpose of improving active and reactive power loss by utilizing Symbiotic Organisms Search Algorithm (SOS) for determining the best position of EVCS. The Bus Reliability Index (BRI) has been determined for all the load points in the IEEE 33 bus radial distribution network and EVCS has been allocated based on the order of strongest buses.","PeriodicalId":426921,"journal":{"name":"2022 International Conference on Breakthrough in Heuristics And Reciprocation of Advanced Technologies (BHARAT)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125035858","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

Refined Feature Vectors for Human Emotion Classifier by combining multiple learning strategies with Recurrent Neural Networks 基于多学习策略和递归神经网络的人类情感分类器特征向量优化

2022 International Conference on Breakthrough in Heuristics And Reciprocation of Advanced Technologies (BHARAT) Pub Date : 2022-04-01 DOI: 10.1109/BHARAT53139.2022.00042

K. Swetha, Jb Seventline

{"title":"Refined Feature Vectors for Human Emotion Classifier by combining multiple learning strategies with Recurrent Neural Networks","authors":"K. Swetha, Jb Seventline","doi":"10.1109/BHARAT53139.2022.00042","DOIUrl":"https://doi.org/10.1109/BHARAT53139.2022.00042","url":null,"abstract":"The speech emotion recognition (SER) system categorizes human emotions based on contextual features. However, it is seriously affected during the signal transmission in which the quality of realtime speech processing is degraded in the SER system. This paper presents refined feature vectors for human emotion classifiers based on multiple learning strategies combined with recurrent neural networks (RefineHERNN). It extracts spatial emotional vectors by observing speech signals for contextual feature dependency through the multiple learning (ML) approach. It computes signal interpretation, emotional cues, and input correction by using the skip connection (SC) module in the residual block of the ML strategy. The fused layer is simple to concentrate derived features that support automatic learning of classifying different human emotions. For experimental purposes, standard IEMOCAP and MSPIMPROV datasets are considered for proposed method validation. Results convey that the proposed method has significant improvement (in terms of percentage closer to 80% higher than the existing CNN result) in the feature recognition and is flexible for realtime implementation in the SER system. Moreover, it can extend to automatic sensing of human emotion with the help of a light weighted RNN framework.","PeriodicalId":426921,"journal":{"name":"2022 International Conference on Breakthrough in Heuristics And Reciprocation of Advanced Technologies (BHARAT)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121574853","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

Review Of Islanding Detection Methods For Distribution Generation 配电发电孤岛检测方法综述

2022 International Conference on Breakthrough in Heuristics And Reciprocation of Advanced Technologies (BHARAT) Pub Date : 2022-04-01 DOI: 10.1109/BHARAT53139.2022.00029

BESTA Hariprasad, P. Bharat Kumar, P. Sujatha, G. Sreenivasan

引用次数: 4

Classification Of Different Methods to Calculate State of Charge of Lithium-Ion Battery 锂离子电池充电状态计算方法的分类

2022 International Conference on Breakthrough in Heuristics And Reciprocation of Advanced Technologies (BHARAT) Pub Date : 2022-04-01 DOI: 10.1109/bharat53139.2022.00044

Divya Sai Iruku, G. Singh, Nafees Ahamad, Robindro Lairenlakpam

引用次数: 0

Breast Cancer Analysis using Convolutional Neural Network 使用卷积神经网络分析乳腺癌

2022 International Conference on Breakthrough in Heuristics And Reciprocation of Advanced Technologies (BHARAT) Pub Date : 2022-04-01 DOI: 10.1109/bharat53139.2022.00037

Ronil Angane, Gaurij Bhogale, Sejal Lanjekar, Aditya Gholkar, R. Chaudhari

{"title":"Breast Cancer Analysis using Convolutional Neural Network","authors":"Ronil Angane, Gaurij Bhogale, Sejal Lanjekar, Aditya Gholkar, R. Chaudhari","doi":"10.1109/bharat53139.2022.00037","DOIUrl":"https://doi.org/10.1109/bharat53139.2022.00037","url":null,"abstract":"Breast cancer is one of the crucial reasons for deaths in females. It affects one out of eight females worldwide. Breast cancer can be detected in early stages with the help of mammography. It is possible due to advancement of science and medical field; more reliable and accurate techniques have emerged to fight against this disease. Nowadays deep learning approach is being used by radiologists which help them make accurate diagnosis of breast cancer. This research contains a novel way of breast cancer detection using convolutional neural network and mammogram imaging system, to accurately classify mammogram image of tumor into benign (noncancerous) and malignant (cancerous). A proposed custom model is created which Is in resemblance with the VGG 16 model. Several mammogram images are used to carry out preprocessing. In order to get good results, we use preprocessing methods such as shearing, enlargement and equalizing image data are used. Feature extraction is done through CNN and classification is performed in fully connected network. The outcome described here demonstrates that the accuracy rate of the proposed automated method is better than other existing methods. Experimental results show the accuracy of the proposed method is 99.45% on training data. Classification report gives the prediction accuracy of 99% with good precision, recall and Fl score.","PeriodicalId":426921,"journal":{"name":"2022 International Conference on Breakthrough in Heuristics And Reciprocation of Advanced Technologies (BHARAT)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114036912","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

Design and Verification of APB IP Core using Different Verification Methodologies 使用不同验证方法的APB IP核设计与验证

2022 International Conference on Breakthrough in Heuristics And Reciprocation of Advanced Technologies (BHARAT) Pub Date : 2022-04-01 DOI: 10.1109/bharat53139.2022.00040

Nainsi Sahu, Ashwni Kumar, Ritu Kandari

引用次数: 1