2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT)最新文献_第3页

Automatic Sleep Stage Scoring on Raw Single-Channel EEG : A comparative analysis of CNN Architectures 原始单通道脑电图的自动睡眠阶段评分:CNN架构的比较分析

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2021-09-15 DOI: 10.1109/icecct52121.2021.9616895

Nirali Parekh, Bhavisha Dave, Raj Shah, Kriti Srivastava

{"title":"Automatic Sleep Stage Scoring on Raw Single-Channel EEG : A comparative analysis of CNN Architectures","authors":"Nirali Parekh, Bhavisha Dave, Raj Shah, Kriti Srivastava","doi":"10.1109/icecct52121.2021.9616895","DOIUrl":"https://doi.org/10.1109/icecct52121.2021.9616895","url":null,"abstract":"The significance of sleep in sustaining mental and physiological equilibrium, as well as the relationship between sleep disturbance and disease and death, has long been accepted in medicine. Deep Learning methods have provided State Of The Art performance in tackling numerous challenges in the medical arena since the advent of the domain of HealthTech. Polysomnography is a type of sleep study that uses electroen-cephalogram (EEG) measurements, among other parameters, to get a better picture of a patient’s sleep patterns. Various brain activity correspond to different stages of sleep. Monitoring and interpreting EEG signals and the body’s reactions to the changes in these cycles can help identify disruptions in sleep patterns. Successfully classified sleep patterns can in turn help medical professionals with the prognosis of several pervasive sleep related diseases like sleep apnea and seizures. To address the pitfalls associated with the traditional manual review of EEG signals that help classify sleep stages, in this work, several Convolutional Neural Networks were trained and analysed to classify the five phases od sleep (Wake, N1, N2, N3, N4 and REM by AASM’s standard) using data from raw, single channel EEG signals. With PhysioNet’s Sleep-EDF dataset, this comparative analysis of the performance of popular convolutional neural network architectures can serve as a benchmark to the problem of utilizing EEG data to classify sleep stages. The analysis shows that CNN based methods are adept at extracting and generalizing temporal information, making it suitable for classifying EEG based data.","PeriodicalId":155129,"journal":{"name":"2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133554033","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: 3

An Exhaustive Approach of Application Layer Protocols in IoT 物联网中应用层协议的详尽方法

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2021-09-15 DOI: 10.1109/icecct52121.2021.9616809

S. R, R. M

引用次数: 1

Optimizing Hadoop parameter for speedup using Q-Learning Reinforcement Learning 使用Q-Learning强化学习优化Hadoop参数加速

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2021-09-15 DOI: 10.1109/icecct52121.2021.9616965

Nandita Yambem, A. Nandakumar

引用次数: 1

An Analysis of Depression Detection Model Applying Data Mining Approaches Using Social Network Data 基于社交网络数据的数据挖掘方法对抑郁症检测模型的分析

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2021-09-15 DOI: 10.1109/icecct52121.2021.9616811

Saurabh Arora, Sushant Bindra, Musheer Ahmad, Tanvir Ahmad

{"title":"An Analysis of Depression Detection Model Applying Data Mining Approaches Using Social Network Data","authors":"Saurabh Arora, Sushant Bindra, Musheer Ahmad, Tanvir Ahmad","doi":"10.1109/icecct52121.2021.9616811","DOIUrl":"https://doi.org/10.1109/icecct52121.2021.9616811","url":null,"abstract":"Depression, also defined as major depressive disorder, is a broad and straightforward psychiatric disorder that affects how we feel, experience, and respond. Fortunately, it is curable. Depression causes symptoms of depression and/or a loss of confidence in previously enjoyed interests. Any year, one out of every 15 people (6.7 percent) suffers from depression. Even though one out of every six people (16.6 %) will experience depression at any stage in their life. Depression can strike at any age, although it is most frequent between late adolescence and the mid-twenties. It is very difficult to locate individuals who suffer from depression. We revealed that social media delivers valuable signs for characterizing the appearance of depression in persons, as determined by a decline in social interaction, improved depressive effect, heavily clustered ego N/w, heightened relational and medicinal issues, and greater expression of religious participation. In this paper we analyze the depressing text; Manipulate data: Extract their features and categorize them using of principal component analysis, sentiment analysis approach, and build a predictor using cross-validate with Machine Learning models (Like Multinomial naïve Bayes, K nearest neighbors, and SVM).In which we have found a 99.7% Success rate with the use of a Multinomial naïve Bayes classifier. We suggest that our experiments and interventions can be useful in developing approaches for predicting the beginning of serious depression, either for healthcare agencies or on behalf of individuals, helping depressed people to be more diligent about their mental health.","PeriodicalId":155129,"journal":{"name":"2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131785401","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

Speed Control of Three phase Permanent Magnet Synchronous Motor using Sliding Mode Controller 基于滑模控制器的三相永磁同步电机速度控制

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2021-09-15 DOI: 10.1109/icecct52121.2021.9616882

Reshma M S, Beena N.

引用次数: 0

An End-To-End 1D-ResCNN Model For Improving The Performance Of Multi-parameter Patient Monitors 用于提高多参数患者监护仪性能的端到端1D-ResCNN模型

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2021-09-15 DOI: 10.1109/icecct52121.2021.9616850

S. Ramya, C. S. Kumar, P. Muralidharan

引用次数: 1

Mitigation of Electrical Inertia of PE Converters in Solar Powered HESS system for Remote Area Power System Applications using Synergetic Controller 基于协同控制器的远程太阳能HESS系统中PE变换器的电惯量控制

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2021-09-15 DOI: 10.1109/icecct52121.2021.9616698

D. Raveendhra, J. Praveen, P. Rajana

{"title":"Mitigation of Electrical Inertia of PE Converters in Solar Powered HESS system for Remote Area Power System Applications using Synergetic Controller","authors":"D. Raveendhra, J. Praveen, P. Rajana","doi":"10.1109/icecct52121.2021.9616698","DOIUrl":"https://doi.org/10.1109/icecct52121.2021.9616698","url":null,"abstract":"Synergetic control-based co-ordination controller is proposed in solar powered assisted hybrid energy storage system (HESS) assisted Remote Area Power system (RAPS) to achieve better dynamic response and good dc bus voltage regulation. Detailed mathematical modelling of power converters and controller used in this system is presented in this manuscript along with design guidelines. Proposed scheme by redirecting the uncaptured reference current to SC, and for the tracking of those currents and also to maintain the DC bus voltage regulation synergetic controller is proposed in this paper. By this control strategy, the performance of HESS is enhanced without changing converter components. Proposed system is validated with the help of 0.72kW Remote Area Power System (RAPS) developed on Matlab Simulink Environment. Critical performance of the proposed controller is tested under environmental varying and load varying conditions, and its performance is compared with the conventional PI and robust sliding mode control. Designed synergetic controllers able to operate at constant switching frequency (reduced the burden of designing passive components for wide range of frequency operation) and also eliminated chattering phenomena compared to sliding mode controller. Results confirmed the feasibility of the proposed controller and also proven that the proposed controller offers better dynamic performance under both line and load varying conditions compared to existing solutions.","PeriodicalId":155129,"journal":{"name":"2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123560203","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

Techno-commercial Analysis of a Solar Powered Electric Vehicle Charging Station for Chennai, India 印度金奈太阳能电动汽车充电站的技术商业分析

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2021-09-15 DOI: 10.1109/icecct52121.2021.9616806

Aanya Singh, Nikhil P G, Jai Prakash Singh

{"title":"Techno-commercial Analysis of a Solar Powered Electric Vehicle Charging Station for Chennai, India","authors":"Aanya Singh, Nikhil P G, Jai Prakash Singh","doi":"10.1109/icecct52121.2021.9616806","DOIUrl":"https://doi.org/10.1109/icecct52121.2021.9616806","url":null,"abstract":"Solar energy is consistently proving to be a practical solution for our climate woes and increasing energy demands. There is a rising trend in the number of EVs (electric vehicles) in India. Hence, solar PV (photovoltaics) can be a utilized to charge EVs and reduce their well-to-wheel emissions. This paper aims to compare the operational performance of a solar-powered EV charging station with 5 different array capacities that are8, 10, 12.5, 15 and 20 kWp (kilo-watt-power) for Chennai in India. The design and simulations have been executed using PVsyst 7.0. The various results presented include- annual aggregate and seasonal trend of the number of EVs that can be charged, investment cost per km (kilometer) of EV usage and, decrease in CO2 (carbon dioxide) emissions annually. An optimization has also been carried out, to identify the optimal array capacity based on the minimal investment cost per kilometer. The results indicate that the 15 kWp solar array capacity is the optimal choice with minimal trade-off balance between unused energy, excess energy and the investment cost per kilometer. The results of this study are a useful indicator for the EV industry and for designing sustainable charging solutions at a decentralized level.","PeriodicalId":155129,"journal":{"name":"2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117224582","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

Enhancement Analysis of PLC Transformed OFDM with WHT Precoding PLC变换OFDM的WHT预编码增强分析

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2021-09-15 DOI: 10.1109/icecct52121.2021.9616792

Naveen Kumar Bandari, Ajay Thammana, S. V. Jagadeesh Chandra

引用次数: 0

Native and Non-Native English Speech Classification: A premise to Accent Conversion 母语和非母语英语语音分类:口音转换的前提

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2021-09-15 DOI: 10.1109/icecct52121.2021.9616718

Abhinav Sharma, Muskaan Bhargava, A. Khanna

引用次数: 0