2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)最新文献_第6页

A Critical Review of Multi-Objective Optimization Techniques as Applied for Electric Vehicles Charging Station 电动汽车充电站多目标优化技术研究述评

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00033

A. Srivastava, Munish Manas, R. Dubey, D. Shobha Rani

引用次数: 0

Performance Evaluation of Off-Shore Wind Farms with Fractional Frequency 分频海上风电场性能评价

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00092

G. H. Reddy, A. N. Kumar, M. Raju, Sadhan Gope, Muralidhar Nayak Bhukya

引用次数: 0

Yoga Pose Assessment for Self-Learning 自我学习的瑜伽姿势评估

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00090

S. Anthoniraj, Naresh kumar Athiappan, G. H. Reddy, M. Raju

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Analyzing the Impact of Transformer model of UPFC on Power Systems: Optimal Power Flow approach UPFC变压器模型对电力系统的影响分析:最优潮流法

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00029

C. Suresh, Angothu Srikanth, Shobha Rani Depuru, Shaik Ruksana Begam

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Modeling of Electric Vehicle under Dynamic and Kintematic Conditions 电动汽车动力学与动力学条件下的建模

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/ssteps57475.2022.00072

Allu Vishnu Vardhan Reddy, Nalin Chaudhary, Sangeeta Gulia, B. Sunil, S. Saini, Muralidhar Nayak Bhukya

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Prototype Design of an IoT Enabled Cost-Efficient Portable Heart Health Data Acquisition System 物联网支持的成本效益便携式心脏健康数据采集系统的原型设计

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00057

S. V, A. K, K. Swathi, Kamineni Chandrika, Korapati Reddy Yamini, Chokkam Preethi Kiran

{"title":"Prototype Design of an IoT Enabled Cost-Efficient Portable Heart Health Data Acquisition System","authors":"S. V, A. K, K. Swathi, Kamineni Chandrika, Korapati Reddy Yamini, Chokkam Preethi Kiran","doi":"10.1109/SSTEPS57475.2022.00057","DOIUrl":"https://doi.org/10.1109/SSTEPS57475.2022.00057","url":null,"abstract":"From the last ten years, healthcare monitoring systems have become one of the most significant systems and have become more technologically focused. The world is confronting a problem of untimely death owing to a variety of ailments, which is caused by a lack of timely medical care for patients. The major objective was to develop a reliable IoT-based patient monitoring system so that medical personnel could keep an eye on their patients, whether they are in a hospital or at home, in order to give better patient care. The development of a smart phone broadband healthcare application allows for the provision of online real-time data regarding a patient's physiological state. The system consists primarily of sensors, a data acquisition unit, such as an Arduino, and software (Arduino IDE). The technology monitors and stores the patient's temperature and heart rate, which is then relayed to the doctor's mobile phone, which has the app. As a result, a realtime patient monitoring system powered by the Internet of Things may successfully track a patient's condition and save lives.","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":"131031974","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

Microelectronic Devices and Human Health 微电子设备与人体健康

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00089

Mettle Brahma, N. Kumari, Raju Bura, M. Maruthi

{"title":"Microelectronic Devices and Human Health","authors":"Mettle Brahma, N. Kumari, Raju Bura, M. Maruthi","doi":"10.1109/SSTEPS57475.2022.00089","DOIUrl":"https://doi.org/10.1109/SSTEPS57475.2022.00089","url":null,"abstract":"Electrical and Computer Engineering (ECE) offers a wide range of techniques and approaches to study and interact with biological systems. The mapping of physical- biological world in an electronic system or vice versa is a big task between two branches. However, complex nature of living cells and involvement of diverse molecules allows us to connect the electrical system to biological system and augment the Bio- ECE branch. Designed automation methods, originally formulated for the design of electronic circuits, now play a central role in synthetic biology, with potential benefits for drug and vaccine development, bioplastics production, and bio- sensor design. Similarly, materials science and nanotechnology play a crucial part in the discovery, characterization of new electronic devices as well as new biomaterials. Computer algorithms and electronic devices are also fundamental to modern medicine: innovative imaging modalities, computer- aided diagnosis, modified treatment regimes, and disease trend analyses are some of the fascinating areas where ECE methods play a vital role. In this article we have briefed on bioelectronics devices and importance of microelectronic devices and their importance in human health for disease diagnosis and treatment. Microelectronic devices can help efficiently to overcome cost-effectiveness and time minimization for human health management.","PeriodicalId":289933,"journal":{"name":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","volume":"74 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":"130084609","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

Internet of Things Enhancing Sustainability of Business 物联网提升业务可持续性

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/ssteps57475.2022.00049

Parikshit Vasisht, Akhilesh Tiwari, Rashmi Rai, Tuba Shamim, Anuranjan Sharma

引用次数: 0

Fraud detection in Online Payment Transaction using Machine Learning Algorithms 基于机器学习算法的在线支付交易欺诈检测

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00063

Darshan Aladakatti, Gagana P, Ashwini Kodipalli, Shoaib Kamal

{"title":"Fraud detection in Online Payment Transaction using Machine Learning Algorithms","authors":"Darshan Aladakatti, Gagana P, Ashwini Kodipalli, Shoaib Kamal","doi":"10.1109/SSTEPS57475.2022.00063","DOIUrl":"https://doi.org/10.1109/SSTEPS57475.2022.00063","url":null,"abstract":"Online payment transaction is a transaction in which payment is made using digitalized currency. Customers all over the world prefer online payments to purchase almost everything from furniture to clothing, from food to medicines, from gadgets to appliances, and whatnot. the online transaction has now evolved into many platforms. It is one of the most efficient methods provided by many companies to its customer. It not only helps build the company's revenue but also impacts the growth of the company. Let us not forget that with pros come the cons with the greatest advantage of having tedious transactions done at the fingertips comes the fear of fraudulent activity in which our hard-earned money can get theft within seconds. These activities can be determined by machine learning algorithms by feeding adequate data about these transactions. We have used machine learning algorithms such as SVM (Support Vector Machine), LR (Logistic regression), Naive Bayes, Decision tree, and Random Forrest for the same. It is observed that Random Forest classifier has outperformed comparing to other classifiers with the accuracy of 99.94%","PeriodicalId":289933,"journal":{"name":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","volume":"61 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":"132663313","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

AI Based Approach For Path Traversal 基于AI的路径遍历方法

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00053

Sudhakar Ranjan, Parikshit Vasisht, D. Thakral

引用次数: 0