2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)最新文献_第3页

SEPHWIR: Search Engine Parsing for Hidden Web Information Retrieval 隐藏Web信息检索的搜索引擎解析

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00038

Manpreet Singh Sehgal, Sachin Gupta, Twinkle Sehgal

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A Novel Metamaterial Inspired Microstrip Patch Antennas for 5G Applications 5G应用的新型超材料微带贴片天线

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00065

Jaimini Shah, Parikshit Vasisht

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Message from the Honorary Chair 名誉主席的话

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/IEMC.2005.1559178

W. Read

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An approach for ideal detection of Epileptic Seizures using CAD techniques - DWT, LDA and Machine Learning algorithms 一种使用CAD技术- DWT, LDA和机器学习算法的理想检测癫痫发作的方法

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00046

Rangesh Bhutra, Aayush Baid, Abhishek Mulasi, M. Hota

{"title":"An approach for ideal detection of Epileptic Seizures using CAD techniques - DWT, LDA and Machine Learning algorithms","authors":"Rangesh Bhutra, Aayush Baid, Abhishek Mulasi, M. Hota","doi":"10.1109/SSTEPS57475.2022.00046","DOIUrl":"https://doi.org/10.1109/SSTEPS57475.2022.00046","url":null,"abstract":"Neurological disorder, epilepsy, can be detected more precisely using the appropriate analysis method from its most reliable and convenient diagnosis method - Electroencephalography (EEG). This paper examines a number of formerly proposed seizure detection methods and, finally, proposes a superior method for seizure detection using EEG time series data. In the proposed method, we have acquired the use of discrete wavelet transform (DWT) for signal decomposition followed by the implementation of universal thresholding in each sub-band to eliminate the non-significant coefficients on the basis of hard threshold function. The features were extracted from the significant coefficients of DWT using linear discriminant analysis (LDA). This framework was analyzed using machine learning (ML) classifiers. Classification algorithms - random forest (RF), support vector machine (SVM), naive bayes (NB) and K-nearest neighbor (KNN) is implied on all the 15 different possible combinations developed from the dataset to examine the performance result obtained from each classifier in detecting epilepsy. The entire model was employed on publicly available EEG time series dataset available from the University of Bonn for a comparative analysis of the proposed studies to date. Cent percent classification results were accomplished by this model, which is better than any other model till date. As a result, it can be inferred that this model has the potential to be a more reliable method for seizure detection, as well as a potential supplementary method at the clinical level.","PeriodicalId":289933,"journal":{"name":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130724836","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}

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Development of Embedded Assistive Smart Helmet for Bike riding using Intelligent process 基于智能过程的嵌入式自行车骑行辅助智能头盔的开发

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00080

M. Sudhakar, V. Sowjanya, V.V. Ranga Sai, O. Sudheer Kumar, V. Barghava

{"title":"Development of Embedded Assistive Smart Helmet for Bike riding using Intelligent process","authors":"M. Sudhakar, V. Sowjanya, V.V. Ranga Sai, O. Sudheer Kumar, V. Barghava","doi":"10.1109/SSTEPS57475.2022.00080","DOIUrl":"https://doi.org/10.1109/SSTEPS57475.2022.00080","url":null,"abstract":"Accidents became very common in this world and the majority of accidents are from motorcycles. Deaths are caused due to not wearing of helmet resulting in severe head damage. Even though safety precaution like the helmet is there but most of the riders are not wearing the helmet, so to overcome this issue a smart helmet is required. In this paper, the intelligent features which are embedded in the smart helmet are Helmet switch, alcohol sensor, eye blink sensor, accelerometer sensor, temperature sensor, GPS, and GSM; All these features working together made a ride safe and secure. Firstly, the rider has to wear the helmet compulsorily; otherwise, the rider will be unable to turn on the ignition. Secondly, the eye-blink sensor and alcohol sensor will check whether the rider is drunk and drowsy. If the rider has not taken any alcohol and was not sleepy then the ignition of the bike will be turned on. If an accident occurs the accelerometer sensor will be activated and turns on the GSM and GPS to send the exact location as a message and a call to already predefined contact stored.","PeriodicalId":289933,"journal":{"name":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116696077","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

Web Platforms for Fintech Products 金融科技产品的网络平台

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00054

Tapas Das, P. Giri, Deeksha Gupta Ganguly, Amrita Chaurasia, Seshanwita Das

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Implementation of Harris Hawk Optimizer for detection of Fault in PV module Harris Hawk优化器在光伏组件故障检测中的实现

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00027

Parveen Kumar, Manish Kumar, A.K. Bansal

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Design of Infinite Impulse Response Filter Using Particle Swarm Optimization and its Invariants 基于粒子群优化及其不变量的无限脉冲响应滤波器设计

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00082

Gowtham Dhanarasi, P. S. Kumar, K. T

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Mobile Technology and Digital Platforms in Behavioural Finance 行为金融学中的移动技术和数字平台

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/ssteps57475.2022.00047

Abhinn Baxi Bhatnagar, V. Prakash, Shabana Abdulkhaliq Memon, Prof. Manjushri Kadam, Manish Sharma

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Estimation of Energy Demand and Sustainable Source for India & Study of Renewable Energy though Machine Learning 通过机器学习估算印度的能源需求和可持续来源以及研究可再生能源

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00058

Mohammad Mamoon, Abhishake Jain

{"title":"Estimation of Energy Demand and Sustainable Source for India & Study of Renewable Energy though Machine Learning","authors":"Mohammad Mamoon, Abhishake Jain","doi":"10.1109/SSTEPS57475.2022.00058","DOIUrl":"https://doi.org/10.1109/SSTEPS57475.2022.00058","url":null,"abstract":"In the last decade, the energy industry has shifted its focus toward alternative energy sources such as solar, hydro, and nuclear power in order to satisfy individual needs. There is still an issue with not having enough access to energy in several regions of India. The production of electricity via thermal means, the generation of power through nuclear means, and the generation of power through hydro means are the three principal forms of power generating in India. This paper discusses the power generation from different energy sources and analyses the demand in India between 2017 to 2020 years. The purpose of this research is to examine data and depict it in a manner that may be understood quickly and easily. The purpose of this research is to compile secondary data drawn from reputable sources and examine that data in the context of existing knowledge gaps. Between the years 2017 and 2020, it will be necessary to conduct research and analysis on a variety of alternative energy sources, including thermal power and other thermal sources. Additional machine learning strategies have been used to the solar data in order to study and anticipate. As a result of using this method, the loss and MSE (mean square error) of the solar data time series were discovered. Therefore, the proper use of power is something that might be evaluated and put into practice from an Indian point of view.","PeriodicalId":289933,"journal":{"name":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127484432","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