2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)最新文献_第5页

An approach to Contingency Severity Prediction using Data Analytic Techniques in a Power System 基于数据分析技术的电力系统事故严重程度预测方法

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00028

Suresh Babu Daram, Vijayalakshmi Ak, Ravindra Angadi, Killada Sesiprabha

引用次数: 1

A Novel Artificial Intelligence Inspired Approach for Analysing Sentiments using Neural Network 一种基于人工智能的神经网络情感分析方法

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00061

D. Thakral, Sachin Sharma, Khushi Sharma, Sudhakar Ranjan

{"title":"A Novel Artificial Intelligence Inspired Approach for Analysing Sentiments using Neural Network","authors":"D. Thakral, Sachin Sharma, Khushi Sharma, Sudhakar Ranjan","doi":"10.1109/SSTEPS57475.2022.00061","DOIUrl":"https://doi.org/10.1109/SSTEPS57475.2022.00061","url":null,"abstract":"Sentiment Analysis is a text classification system used to analyse the incoming text and determine if the sentiment evolved from the argument text is positive, negative or neutral. It holds specific significance in different areas of Technology and it has varied applications. It combines the power of two most significant fields of Artificial Intelligence, viz. Deep Learning and Natural Language Processing. Deep Learning has evolved as an advanced and efficient technology to target and solve real-world problems with greater accuracy and efficiency. Neural Networks are used to deal with enormous amounts of data without any considerable domain engineering and adapt from its own method of computing. Sentiments within a text can become misleading if the whole sentence is taken as a collection of independent words, since each and every word is connected to other in some sense. This research is used to propose and develop an efficient model that can analyse the sequential sentiments with greater prediction and accuracy. This research also compares the prediction accuracy of the proposed model with other existing novel methods.","PeriodicalId":289933,"journal":{"name":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","volume":"15 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":"121842998","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

Biomechanical Aspects of Muscle Power Analysis By Using Myoware Muscle Sensor 使用myware肌肉传感器进行肌肉力量分析的生物力学方面

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00096

L Ajithkumar, K. P, Vijaya Krishna B, Pardeep Kumar

{"title":"Biomechanical Aspects of Muscle Power Analysis By Using Myoware Muscle Sensor","authors":"L Ajithkumar, K. P, Vijaya Krishna B, Pardeep Kumar","doi":"10.1109/SSTEPS57475.2022.00096","DOIUrl":"https://doi.org/10.1109/SSTEPS57475.2022.00096","url":null,"abstract":"The present study focus on the examination of the selected muscle power by the maximal voluntary effort (MVE) for national-level participated Bodybuilders and Weightlifters (BB and WL). This study analyzed the muscle power of experienced BB and WL with one of the technically approved low-cost myoware muscle sensor. The subjects were n=10 male BB and n=10 male WL i.e. a total of N=20 subjects were selected from the Tamil Nadu region. The myoware muscle sensor (MMS) of the biceps brachii and triceps brachii muscles during the MVE was recorded. The MMS surface electrodes were placed at the motor point of each muscle during MVE the muscular activity was stored by the data logger (Arduino UNO) and the results were gathered from the data acquisition system. The collected data were analysed in a T-test by computer-based software SPSS. The data analyzed for the biceps extension (BE) showed that out of the chosen subjects, the MVE of BB (55%) was slightly better than WL (45%), the biceps flexion (BF) showed that out of the chosen subjects, the MVE of BB (52%) was slightly better than WL (48%), the triceps extension (TE) showed that out of the chosen subjects, the MVE of WL (53%) was slightly better than BB (47%), the triceps flexion (TF) showed that out of the chosen subjects, the MVE of WL (55%) was slightly better than BB (45%). The muscle power level of experienced BB and WL showed no significant changes during the MVE task (contraction), except that the MMS values were slightly higher in BB than the WL in the Biceps brachii muscle and the WL had better triceps brachii muscle power than the BB.","PeriodicalId":289933,"journal":{"name":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","volume":"76 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":"116307046","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

Advanced Security for MANET using Ant Colony Optimization and Artificial Neural Network 基于蚁群优化和人工神经网络的MANET高级安全性

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00093

Sangeeta Gulia, Sarita Kumari, Manish Kumar, K. A.

{"title":"Advanced Security for MANET using Ant Colony Optimization and Artificial Neural Network","authors":"Sangeeta Gulia, Sarita Kumari, Manish Kumar, K. A.","doi":"10.1109/SSTEPS57475.2022.00093","DOIUrl":"https://doi.org/10.1109/SSTEPS57475.2022.00093","url":null,"abstract":"Manets are taught as a base for infrastructure wireless networks. Today main topics of research in Manets rotate around two main aspects- lifetime and security. This is just because of the wireless nature wherein vulnerability into network becomes comparatively much easier and the energy efficiency of all the nodes again is a crucial issue. The recent research is focused at enhancing security of Manets using the Ant Colony Optimization through Artificial Neural Networks thereby securing Manets from several intrusion attacks like worm hole and black hole attacks. The majority of optimization techniques work in past has been done using GA and now, the most recent algorithms like Particle swarm optimization, Tabu Search, ACO etc. have majorly reduced the limitations like premature convergence, which GA suffered from. Here, we will use ACO through Artificial Neural networks to create a robust system to increase the overall security of Manets. ANNs are the computational networks which are based on the behavior of biological neurons. These networks change through the information transferring through the network and provides help in pattern matching of inputs thereby guiding towards the most optimized output.","PeriodicalId":289933,"journal":{"name":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","volume":"12 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":"126609016","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

Therapeutic Approach to Psychological Disorders in Yoga Darshan 瑜珈达善中心理障碍的治疗方法

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00094

Pardeep Kumar, M. Rani, Vara Lakshmi T, A. Pal

{"title":"Therapeutic Approach to Psychological Disorders in Yoga Darshan","authors":"Pardeep Kumar, M. Rani, Vara Lakshmi T, A. Pal","doi":"10.1109/SSTEPS57475.2022.00094","DOIUrl":"https://doi.org/10.1109/SSTEPS57475.2022.00094","url":null,"abstract":"The modern era is characterized or defined as sack of psychological disorders. Because of today's modern lifestyle, every person of society of each age and group somehow suffering from psychological disorders. This is why modern psychological science is attempting to comprehend the human-being psychological ethos, its structure, and disorders. Present science of psychic evaluation is far-out to comprehensive knowledge of human-being psychological ethos, its structure, and disorders. As a result, its therapeutic approach to diagnose psychic differences and disorders is only on the superficial level. This is why present science of psychic evaluation is incapable of providing a comprehensive approach to psychotherapy for psychological disorders. Different kind of methodology explained in Yoga Darshan by Sage Patanjali is used and we found that these methods which are explained by sage are very powerful tool to approach the different psychological nature or ethos of human being, only not at superficial level but at very minute or subtle level. This article present how Yogic approach can be helpful for psychosomatic disorders and after overcoming these disorders hoe the qualitative life can be lead.","PeriodicalId":289933,"journal":{"name":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","volume":"90 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":"132881355","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

Essential Requirements for the Fabrication of Electronic Skinfold Calliper Device 电子折皮卡尺装置制造的基本要求

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/ssteps57475.2022.00069

Farooq Ahmad Kumar, K. P, Suresh N

{"title":"Essential Requirements for the Fabrication of Electronic Skinfold Calliper Device","authors":"Farooq Ahmad Kumar, K. P, Suresh N","doi":"10.1109/ssteps57475.2022.00069","DOIUrl":"https://doi.org/10.1109/ssteps57475.2022.00069","url":null,"abstract":"The study's primary goal was to recommend and build a scientific tool in the fields of anthropometry and physical education with the aid of an engineering effort. To estimate body fat measurements various types of skinfold calipers are used. Meanwhile Harpenden (HRP), Lange (LNG), Slim guide (85SG), Skyndex (SKN) and Lafayette (LF). So, on apparatus is more sensitive to recording several sites at a time with time-consuming. Within the measuring of adipose tissue, variation was less consistent in opening, force, spring pressure, and rubber-compressed thickness. Once measuring after the jaw of the calliper remains open, and not a proper pressure on the measuring site, this may cause a variation in the validity of the tool. Accordingly, the study there was set up a computer using transponders equipment to monitor the rate of decompression of human body fat when measured by the skinfold calliper, and to evaluate the best time at which readings should be taken from several skinfold sites from a range of slim to fatty subjects. All skinfold measurements were collected uniformly, however only highly advanced technology can ensure data validity and precision. The new technology will be tested, accurate, and set up for automatic recording against alternative traditional reference callipers for measuring % BF (percentage of body fat). Simplifying, making everyday practise more effective, and spending less money on the evaluation of body fat percentage.","PeriodicalId":289933,"journal":{"name":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","volume":"7 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":"131354479","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

Analysis of maternal health risk using computational models 利用计算模型分析产妇健康风险

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00083

Aditi Ravi, Ruth Sandra J, Sanjana P Joshi, Ashwini Kodipalli, Shoaib Kamal

引用次数: 0

Nonlinear Control Design for Electric Propulsion in Electric Vehicles 电动汽车电力推进的非线性控制设计

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00025

S. Begam, B. Rao, Shobha Rani Depuru

{"title":"Nonlinear Control Design for Electric Propulsion in Electric Vehicles","authors":"S. Begam, B. Rao, Shobha Rani Depuru","doi":"10.1109/SSTEPS57475.2022.00025","DOIUrl":"https://doi.org/10.1109/SSTEPS57475.2022.00025","url":null,"abstract":"This paper depicts a nonlinear Adaptive Neuro-Fuzzy Rule-based (ANF-RBC) control design for electric propulsion subsystem of electric vehicles with a fully active topology of LiBs/Electrochemical Double-Layer-Capacitors-hybrid electrical energy storage system (LiBs/ECDLSCs-HEESS). A hybrid electrical ESS is used to generate LiBs current reference, and then ANF-RBC nonlinear controller designed and simulated to decrease non-linearity generated by used LiBs/ECDLSCs-HEESS with two input membership functions and twenty-five Takagi Sugeno Fuzzy inference rules. To measure performance of ANF-RBC nonlinear control system design two outputs lithium-ion battery current and Direct Current bus voltage was used, hence ANF-RBC implementation becomes easier. Proposed ANF-RBC nonlinear controller performance studied to that of existing nonlinear state of art controllers used in electric vehicles with three different load conditions. To validate the effectiveness of the proposed nonlinear control scheme simulated in MAT-LAB/Simulink with a fuzzy tool kit and quantitatively with the integral absolute error under three load conditions.","PeriodicalId":289933,"journal":{"name":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","volume":"149 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120897048","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

Optimizing Round Robin Algorithm in Operating System 优化操作系统中的轮询算法

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00051

Manpreet Singh Sehgal, Nandini Bansal, Saloni Dhingra, A. Bansal, Pransh Rastogi, Twinkle Sehgal

{"title":"Optimizing Round Robin Algorithm in Operating System","authors":"Manpreet Singh Sehgal, Nandini Bansal, Saloni Dhingra, A. Bansal, Pransh Rastogi, Twinkle Sehgal","doi":"10.1109/SSTEPS57475.2022.00051","DOIUrl":"https://doi.org/10.1109/SSTEPS57475.2022.00051","url":null,"abstract":"Mother nature is full of learning metaphors that the technologists always look for imbibing into their technology innovations. Like nature schedules the seasons every year over the planet earth in a way which is necessary for survival, the designers of Operating system are also striving to schedule the processes in the most optimum way possible that is necessary to achieve the purpose of operating system. This paper studies one of the existing scheduling algorithms namely round robin algorithm and suggests the improvement in such a way to meet the needs of ever changing technologically charged world. Round Robin algorithm (like nature) is applied so as to circulate through the processor (like earth) quickly among processes (like seasons). However, the throughput of round robin depends largely on the time quantum selected and a short time quantum may end up increasing the overhead on CPU due to repeated context switching. The algorithm proposed in this paper has approached the time quantum by setting a threshold time so as to reduce the response time, average waiting time and the turnaround time as compared to traditional Round Robin algorithm. This will result in increased throughput and hence enhance the system performance.","PeriodicalId":289933,"journal":{"name":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","volume":"54 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":"114644375","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

A Review on Coconut Tree and Plant Disease Detection using various Deep Learning and Convolutional Neural Network Models 基于深度学习和卷积神经网络模型的椰树和植物病害检测研究综述

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00042

Nivethitha T, P. Vijayalakshmi, J. Jaya, Shriram S

{"title":"A Review on Coconut Tree and Plant Disease Detection using various Deep Learning and Convolutional Neural Network Models","authors":"Nivethitha T, P. Vijayalakshmi, J. Jaya, Shriram S","doi":"10.1109/SSTEPS57475.2022.00042","DOIUrl":"https://doi.org/10.1109/SSTEPS57475.2022.00042","url":null,"abstract":"The quantity, quality, production of Agricultural products is majorly affected by Plant Diseases. Since the plant disease results in adverse effects of agricultural products growth, an Effective Plant Disease Detection and Controlling system may be used to control the loss occurred by these plant diseases. To control the Plant Diseases, monitoring is required for the plants from their initial stage of growth. But by directly seeing the crops by the human beings can’t exactly determine the Plant Disease exactly, hence Image Classification techniques, various Deep Learning models are used for detection of the diseases of plants from their initial stage of growth. There are various Plant Disease detection techniques and systems which are developed by many researchers to identify the Plant diseases and take steps to reduce/control the Plant diseases. Convolutional Neural Networks (CNNs) and various types of CNNs are used for Disease Detection in plants. For Advancement in Agriculture, this paper Reviews the ability of various Pant and Coconut Tree Disease Detection Systems to detect the Coconut Tree Diseases based on various metrics and the Algorithm used in these systems and also the results from the various systems. This paper mainly aims in reviewing various Algorithms and plant Disease detection systems to compare the best Algorithms used in Coconut and Plant Disease detection.","PeriodicalId":289933,"journal":{"name":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","volume":"17 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":"114293243","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: 2