Pub Date : 2020-07-01DOI: 10.34218/ijeet.11.4.2020.023
Rahul Reddy Nadikattu, Sikender Mohsienuddin Mohammad, P. Whig
Spiritual intelligence is the science of human energy management that clarifies and in the era of COVID-19 in which everywhere there is a panic like situation and according to the World Health Organization Social Distancing will be proven to be the only solution. In this research paper, an innovative localization method was proposing to track humans' position in an outdoor environment based on sensors is proposed. With the help of artificial intelligence, this novel smart device is handy for maintaining a social distancing as well as detecting COVID-19 symptom patients and thereby safety. In these COVID-19 environments, where everyone is conscious about their safety, we came up with the idea of this novel device. Most of the time, people on the roadside watched their front but were not able to look after what is going on behind them. The device will give alert to the person if someone in the critical range of six feet around him. The method is reasonably accurate and can be very useful in maintaining social distancing. The sensor model used is described, and the expected errors in distance estimates are analyzed and modeled. Finally, the experimental results are presented.
{"title":"NOVEL ECONOMICAL SOCIAL DISTANCING SMART DEVICE FOR COVID19","authors":"Rahul Reddy Nadikattu, Sikender Mohsienuddin Mohammad, P. Whig","doi":"10.34218/ijeet.11.4.2020.023","DOIUrl":"https://doi.org/10.34218/ijeet.11.4.2020.023","url":null,"abstract":"Spiritual intelligence is the science of human energy management that clarifies and in the era of COVID-19 in which everywhere there is a panic like situation and according to the World Health Organization Social Distancing will be proven to be the only solution. In this research paper, an innovative localization method was proposing to track humans' position in an outdoor environment based on sensors is proposed. With the help of artificial intelligence, this novel smart device is handy for maintaining a social distancing as well as detecting COVID-19 symptom patients and thereby safety. In these COVID-19 environments, where everyone is conscious about their safety, we came up with the idea of this novel device. Most of the time, people on the roadside watched their front but were not able to look after what is going on behind them. The device will give alert to the person if someone in the critical range of six feet around him. The method is reasonably accurate and can be very useful in maintaining social distancing. The sensor model used is described, and the expected errors in distance estimates are analyzed and modeled. Finally, the experimental results are presented.","PeriodicalId":36497,"journal":{"name":"International Journal of Electrical Engineering and Technology","volume":"70 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86809333","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}
Pub Date : 2020-04-28DOI: 10.34218/ijeet.11.4.2020.050
M. Ehtesham
{"title":"INTRODUCING DYNAMIC FEATURE IN MAXIMUM POWER POINT TRACKING ALGORITHM FOR PV SYSTEM","authors":"M. Ehtesham","doi":"10.34218/ijeet.11.4.2020.050","DOIUrl":"https://doi.org/10.34218/ijeet.11.4.2020.050","url":null,"abstract":"","PeriodicalId":36497,"journal":{"name":"International Journal of Electrical Engineering and Technology","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85641710","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}
Pub Date : 2020-04-28DOI: 10.34218/ijeet.11.4.2020.049
T. Malathi, M. Manimekalai
{"title":"FEATURE SELECTION TECHNIQUES FOR WEATHER FORECASTING MODELS USING MACHINE LEARNING TECHNIQUES","authors":"T. Malathi, M. Manimekalai","doi":"10.34218/ijeet.11.4.2020.049","DOIUrl":"https://doi.org/10.34218/ijeet.11.4.2020.049","url":null,"abstract":"","PeriodicalId":36497,"journal":{"name":"International Journal of Electrical Engineering and Technology","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76638650","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}
Pub Date : 2020-04-27DOI: 10.34218/ijeet.11.4.2020.048
Subhendu Mishra, B. Nayak
{"title":"REVIEW ON MODELLING AND ANALYSIS OF VARIABLE FLUX MACHINES FOR TRACTION APPLICATION","authors":"Subhendu Mishra, B. Nayak","doi":"10.34218/ijeet.11.4.2020.048","DOIUrl":"https://doi.org/10.34218/ijeet.11.4.2020.048","url":null,"abstract":"","PeriodicalId":36497,"journal":{"name":"International Journal of Electrical Engineering and Technology","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84617024","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}
Pub Date : 2020-04-16DOI: 10.34218/ijeet.11.4.2020.034
U. Sowmmiya, Aditya Prasad Chakrabartty, Chaitanya Tyagi
With the increasing electric vehicles (EVs), the power grid will be impacted for charging the EVs. In order to manage EVs charging, there is a need for an intelligent charging strategy that supports EVs charging while preventing the power grid from overloading. In this paper, an algorithm is proposed for optimal charging of the batteries based on priority. The priority determination rules are calculated according to source voltage, current state-of-charge (SOC), battery capacity and battery current. The proposed algorithm considers real-time price (RTP) in order to minimize charging cost without increasing peak load. Intelligent charging strategies are needed in order to minimize electric vehicles charging cost without violating the operational constraints of the electric power grid with an extra burden. This work aims to design an optimal scheduling algorithm for managing electric vehicles charging using droop control.
{"title":"ALGORITHM FOR PRIORITY CHARGING IN A DC MICRO-GRID","authors":"U. Sowmmiya, Aditya Prasad Chakrabartty, Chaitanya Tyagi","doi":"10.34218/ijeet.11.4.2020.034","DOIUrl":"https://doi.org/10.34218/ijeet.11.4.2020.034","url":null,"abstract":"With the increasing electric vehicles (EVs), the power grid will be impacted for charging the EVs. In order to manage EVs charging, there is a need for an intelligent charging strategy that supports EVs charging while preventing the power grid from overloading. In this paper, an algorithm is proposed for optimal charging of the batteries based on priority. The priority determination rules are calculated according to source voltage, current state-of-charge (SOC), battery capacity and battery current. \u0000 \u0000The proposed algorithm considers real-time price (RTP) in order to minimize charging cost without increasing peak load. Intelligent charging strategies are needed in order to minimize electric vehicles charging cost without violating the operational constraints of the electric power grid with an extra burden. This work aims to design an optimal scheduling algorithm for managing electric vehicles charging using droop control.","PeriodicalId":36497,"journal":{"name":"International Journal of Electrical Engineering and Technology","volume":"45 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75221098","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}
Pub Date : 2020-04-16DOI: 10.34218/ijeet.11.4.2020.030
G. Kumar, S. Kumar, S. V. J. Kumar
In distribution system, as shoot up requisition of distributed generations (DGs) has alter its custom from passive to active. Distributed generation can be desegregated into distribution systems to encounter the growing load demand. This paper suggests Maximum Load-ability Index (MLI) technique for the optimal location and sizing of DG. The benefit of suggested technique is applied for single DG location and assessment on 6bus and IEEE 33-bus radial distribution systems. Load flow algorithm is applied for power flow calculations with abiding power load. Diminish of real power and reactive power, maximal of voltage profile and load-ability of assessment system are reviewed as staging parameters. The benefit of the suggested technique is differentiate with subsist technique, the outcome exhibit that the suggested technique is worthwhile.
{"title":"MLI TECHNIQUE FOR PLACEMENT AND SIZING OF DG FOR MINIMUM LINE LOSSES","authors":"G. Kumar, S. Kumar, S. V. J. Kumar","doi":"10.34218/ijeet.11.4.2020.030","DOIUrl":"https://doi.org/10.34218/ijeet.11.4.2020.030","url":null,"abstract":"In distribution system, as shoot up requisition of distributed generations (DGs) has alter its custom from passive to active. Distributed generation can be desegregated into distribution systems to encounter the growing load demand. This paper suggests Maximum Load-ability Index (MLI) technique for the optimal location and sizing of DG. The benefit of suggested technique is applied for single DG location and assessment on 6bus and IEEE 33-bus radial distribution systems. Load flow algorithm is applied for power flow calculations with abiding power load. Diminish of real power and reactive power, maximal of voltage profile and load-ability of assessment system are reviewed as staging parameters. The benefit of the suggested technique is differentiate with subsist technique, the outcome exhibit that the suggested technique is worthwhile.","PeriodicalId":36497,"journal":{"name":"International Journal of Electrical Engineering and Technology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90240535","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}
Pub Date : 2020-04-16DOI: 10.34218/ijeet.11.4.2020.032
Uma Maheswari Ramisetty, Sumanth Chennupati
Massive MIMO is the emerging technology to design 5G wireless communication systems. Perfect channel state information(CSI) is the essential condition to design the performance metrics for MU-MIMO system since the inaccuracies present in the CSI reduces data rates and channel capacity. The objective of this paper is to design a optimum power allocation scheme for MU-MIMO using dirty paper coder pre-coding. An expression is derived to determine the optimum power allocation and the ambient condition with degree of perfection factor under channel reliability at the base station to reduce the transmit power and the results obtained are presented and analysed. 2018 The Korean Institute of Communications and Information Sciences. Publishing Services by Elsevier B.V.
{"title":"OPTIMAL TRANSMIT POWER ALLOCATION FOR MAXIMIZING THE CHANNEL CAPACITY AND SINR IN MU-MIMO SYSTEM USING DIRTY PAPER CODING","authors":"Uma Maheswari Ramisetty, Sumanth Chennupati","doi":"10.34218/ijeet.11.4.2020.032","DOIUrl":"https://doi.org/10.34218/ijeet.11.4.2020.032","url":null,"abstract":"Massive MIMO is the emerging technology to design 5G wireless communication systems. Perfect channel state information(CSI) is the essential condition to design the performance metrics for MU-MIMO system since the inaccuracies present in the CSI reduces data rates and channel capacity. The objective of this paper is to design a optimum power allocation scheme for MU-MIMO using dirty paper coder pre-coding. An expression is derived to determine the optimum power allocation and the ambient condition with degree of perfection factor under channel reliability at the base station to reduce the transmit power and the results obtained are presented and analysed. 2018 The Korean Institute of Communications and Information Sciences. Publishing Services by Elsevier B.V.","PeriodicalId":36497,"journal":{"name":"International Journal of Electrical Engineering and Technology","volume":"2014 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74244137","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}
Pub Date : 2020-04-16DOI: 10.34218/ijeet.11.4.2020.031
R. Revathy, M. Raj, M. Selvi, J. K. Periasamy
Separately, the Internet of Things (IoT) and Artificial Intelligence (AI) are groundbreaking advances. At the point when we consolidate AI and IoT, we get AIoT - the artificial intelligence of things. We can consider IoT gadgets as the digital sensory method whilst AI is the brain of a framework. In this article, we are analyzing about AIoT and analyzing about the applications and real time examples of AIoT method.
{"title":"ANALYSIS OF ARTIFICIAL INTELLIGENCE OF THINGS","authors":"R. Revathy, M. Raj, M. Selvi, J. K. Periasamy","doi":"10.34218/ijeet.11.4.2020.031","DOIUrl":"https://doi.org/10.34218/ijeet.11.4.2020.031","url":null,"abstract":"Separately, the Internet of Things (IoT) and Artificial Intelligence (AI) are groundbreaking advances. At the point when we consolidate AI and IoT, we get AIoT - the artificial intelligence of things. We can consider IoT gadgets as the digital sensory method whilst AI is the brain of a framework. In this article, we are analyzing about AIoT and analyzing about the applications and real time examples of AIoT method.","PeriodicalId":36497,"journal":{"name":"International Journal of Electrical Engineering and Technology","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73124761","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}
Pub Date : 2020-04-16DOI: 10.34218/ijeet.11.4.2020.033
A. Gautam
{"title":"COMPUTATIONALLY EFFICIENT ROBUST MODEL PREDICTIVE CONTROL OF MAGNETIC SUSPENSION SYSTEMS","authors":"A. Gautam","doi":"10.34218/ijeet.11.4.2020.033","DOIUrl":"https://doi.org/10.34218/ijeet.11.4.2020.033","url":null,"abstract":"","PeriodicalId":36497,"journal":{"name":"International Journal of Electrical Engineering and Technology","volume":"105 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77230329","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}
Pub Date : 2020-04-15DOI: 10.34218/ijeet.11.4.2020.027
N. Ashokkumar, P. Krishnagandhi, B. Kannan, Y. Raju
{"title":"SMART FARMING FIELD OBSERVATION USING EMBEDDED SYSTEMS","authors":"N. Ashokkumar, P. Krishnagandhi, B. Kannan, Y. Raju","doi":"10.34218/ijeet.11.4.2020.027","DOIUrl":"https://doi.org/10.34218/ijeet.11.4.2020.027","url":null,"abstract":"","PeriodicalId":36497,"journal":{"name":"International Journal of Electrical Engineering and Technology","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82079315","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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