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

Semantic Web based Recommendation System in E-Commerce Websites 基于语义网的电子商务网站推荐系统

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00062

D. Thakral, Sudhakar Ranjan

引用次数: 0

Parkinson's Disease Detection Using Machine Learning 用机器学习检测帕金森病

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00070

S. Anthoniraj, Naresh kumar Athiappan, Galiveeti Hemakumar Reddy, Sadhan Gope, M. Raju

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Photovoltaic (PV) Cell Parameter Objective Optimization Using Novel Convolutional Neural Network (CNN) Technique 基于卷积神经网络(CNN)的光伏电池参数目标优化

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00076

Pragallapati Anirudh, Thandava Krishna Sai Pandraju, Shaik Ruksana Begam, C. Suresh, Manish Kumar, Muralidhar Nayak Bhukya

{"title":"Photovoltaic (PV) Cell Parameter Objective Optimization Using Novel Convolutional Neural Network (CNN) Technique","authors":"Pragallapati Anirudh, Thandava Krishna Sai Pandraju, Shaik Ruksana Begam, C. Suresh, Manish Kumar, Muralidhar Nayak Bhukya","doi":"10.1109/SSTEPS57475.2022.00076","DOIUrl":"https://doi.org/10.1109/SSTEPS57475.2022.00076","url":null,"abstract":"This paper presents a novel technique from the family of artificial intelligence to optimize the essential modeling parameters of Photovoltaic (PV) cell. Though many parameter extraction techniques are available in the literature, still there is a scope to improve the modeling efficiency due to the incorporation of advanced materials in PV cell, low response time, and mainly the wide difference between the extracted values and actual values. Therefore, the proposed Convolutional Neural Network (CNN) technique addresses and overcomes the above issues by accepting the nonlinear synthetic data. The proposed CNN technique architecture has six layers, technically these layers are classified as Convolution layer, Rectified Linear Unit (ReLU) layer, Padding layer, Pooling layer, Flattening layer, fully connected layer, and Output layer. The effectiveness of the proposed CNN technique in terms of response time, and closeness to the actual value is compared with Lightning Search Algorithm (LSA), Simulated Annealing (SA), Differential Evolution (DE), Artificial Bee Colony (ABC), and Advanced Particle Swarm Optimization (APSO) using 85W, 125W and 200W solar module.","PeriodicalId":289933,"journal":{"name":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","volume":"2008 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":"125584539","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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IoT Based Efficient Detection of Covid-19 Using Deep Learning Algorithms 基于物联网的Covid-19深度学习算法高效检测

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00035

Poornaiah Billa, Konatham Mounika, Popuri Sindhura, Mediboyina Venkata Swapna, D. Anitha

{"title":"IoT Based Efficient Detection of Covid-19 Using Deep Learning Algorithms","authors":"Poornaiah Billa, Konatham Mounika, Popuri Sindhura, Mediboyina Venkata Swapna, D. Anitha","doi":"10.1109/SSTEPS57475.2022.00035","DOIUrl":"https://doi.org/10.1109/SSTEPS57475.2022.00035","url":null,"abstract":"Thoracic radiography (chest X-beam) is a modest yet compelling and broadly utilized clinical imaging method to recognize threatening development, infection, or air gathering inside the space around a lung. Regardless, a deficiency of qualified radiologists truly confines the suitability of the strategy. Without a doubt, even current Profound Learning - based systems as often as possible require solid organization, e.g., explained deflecting boxes, to plan such constructions, which is inconvenient to accumulate for a huge expansion. We proposed the portrayal and assumption for lung pathologies of front-facing thoracic X-beams utilizing a changed model Portable Net V2. We considered using move learning with metadata influence and furthermore the NIH Chest-X beam 14 informational collections, and those we did a relationship of execution of our way to deal with other best-in class strategies for pathology course of action. During this endeavor, we intended to shape a model that is fit for location of COVID - 19 by observing lung pollution, temperature and oxygen drenching of the blood and accordingly the pulse utilizing sensors with a connection point to Raspberry Pi [3]. The proposed structure moreover, collaborated with human wellbeing to constantly screen patient temperature and oxygen level through Internet of Things (IoT).","PeriodicalId":289933,"journal":{"name":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","volume":"218 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":"115523450","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

Sustainable Printed Electronics and its various Industrial Applications 可持续印刷电子及其各种工业应用

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00097

Baddam Meghana Reddy, Kolthur Puneeth Sai, Nishan Singh, V. P. Reddy

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Back-to-Back Voltage-Source Converters with PSO-based PI Tuning Controller for Grid-Connected Wind-Solar Cogeneration 基于pso PI整定控制器的并网风能-太阳能热电联产背靠背电压源变换器

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00022

G. Manohar, M. Deepthi

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Modeling of a Three-Input Fourth-Order Integrated DC-DC Converter 三输入四阶集成DC-DC变换器的建模

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00032

M. Manogna, B. A. Reddy, K. Padma

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Review on Role of Power Electronics in Integration of Renewable Energy Sources with Micro grid 电力电子技术在可再生能源与微网并网中的作用综述

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00021

Nithara P V, Chithra M, Reshma P Eldho, Sanitha Michail

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A Declarative Systematic Approach to Machine Learning 机器学习的声明式系统方法

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00034

G. Babu, Ch. Phaneendra Varma, P. K. Sree, G. Sai Chaitanya Kumar

{"title":"A Declarative Systematic Approach to Machine Learning","authors":"G. Babu, Ch. Phaneendra Varma, P. K. Sree, G. Sai Chaitanya Kumar","doi":"10.1109/SSTEPS57475.2022.00034","DOIUrl":"https://doi.org/10.1109/SSTEPS57475.2022.00034","url":null,"abstract":"In the last 20 years, artificial intelligence (AI) (ML) has naturally evolved from a research project to an innovation that is now used in almost every element of computing. Today, ML-based components are integrated into every aspect of our modern life, from making suggestions about what to look at to predicting our research aim to assisting low- end participants in risky and purchasing situations. Additionally, as machine learning continues to advance in the intrinsic sciences, it is now clear that ML may be utilised to solve some of the most challenging real-world issues currently facing humanity. For these reasons, ML has evolved into the foundation of technological businesses' methodologies and has received more attention from the academic community than ever before. The majority of engineers who create and use machine learning models now often have advanced degrees and work for large organisations, but the incoming flood of ML frameworks could open the door to many more users—possibly even those with little programming experience—playing. similar errands are run. These new ML frameworks will give clients a more dynamic connection point that isn't both a request and instead more recognised, rather than expecting them to completely understand every nuance of how models are created and utilised for forecasting (a huge barrier to transfer). The clear points of interaction are ideal for achieving this goal because they hide complexity and promote interest differentiation, which leads to increased efficiency.","PeriodicalId":289933,"journal":{"name":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","volume":"29 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":"127816083","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

Classification of Imbalanced Data in E-Commerce 电子商务中不平衡数据的分类

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00059

S. Anthoniraj, A. N. Kumar, Galiveeti Hemakumar Reddy, M. Raju

{"title":"Classification of Imbalanced Data in E-Commerce","authors":"S. Anthoniraj, A. N. Kumar, Galiveeti Hemakumar Reddy, M. Raju","doi":"10.1109/SSTEPS57475.2022.00059","DOIUrl":"https://doi.org/10.1109/SSTEPS57475.2022.00059","url":null,"abstract":"The Privileges for the machine learning algorithms are actuality to lead the online exchange world with their does and power to match the fully customizable plot involvement. From expectable actions to social media to perceptive ways to shop online, big data quickly suppers within and is used frequently. Unfortunately, rare data conditions, called algebraic data, are still essentially unnoticed due to the uncommon of analytics method designed to manage the static data sets and external \"quickening\". As a result, very important rare functioning condition are being mistreated and leads to high cost loss Over the past applies, a number of ways to address the issue raised ranging from data processing to changes of the present algorithms having appeared with changing success. Though, most of them having major downsides when there are used indifferent claims domains due to the different nature of the active data presence. In the big E-Commerce domain, we suggest an unabled at a management methods, which consists of diverse subdivision solution that mix multi-methods data systems and algorithms to create the right balance between forecasts, accuracy and precision. Our solution helps in improving data service ability, class accuracy and results in cost analysis of large data sets used to mark client cognizance in E-Commerce.","PeriodicalId":289933,"journal":{"name":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","volume":"43 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":"125897971","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