Pub Date : 2021-10-08DOI: 10.1109/APSIT52773.2021.9641064
K. Anjaiah, P. K. Dash, R. Bisoi
Nowadays the usage of circuit breakers, switches, converters, and non-linear loads is increasing rapidly. These are frequently caused by power quality disturbances (PQ) in the electrical network. It is necessary to detect and classify the different PQ disturbances (i.e. single and mixed) in order to prevent the network and its connected equipment. This paper presents PQ disturbances detection and classification by using a discrete Teager energy operator (DTEO). Initially, voltage signals of PQ disturbances are captured from the proposed microgrid i.e. PV based DC microgrid at point of common coupling (PCC). Further, these signals are passed through DTEO for detection with the help of a first peak. These detected PQ signals are passed through the statistical features i.e. Teager energy kurtosis and Teager energy mean for classification by using the simple decision tree. The performance and superiority of the proposed method are verified in terms of classification accuracy (CA) when compared to other existing methods. Here it is evidenced that the proposed method is simple, more flexible and it reduces the complexity by avoiding the other signal processing algorithms.
{"title":"Detection and Classification of Power Quality Disturbances by Using Discrete Teager Energy Operator in the PV-Based DC Microgrid","authors":"K. Anjaiah, P. K. Dash, R. Bisoi","doi":"10.1109/APSIT52773.2021.9641064","DOIUrl":"https://doi.org/10.1109/APSIT52773.2021.9641064","url":null,"abstract":"Nowadays the usage of circuit breakers, switches, converters, and non-linear loads is increasing rapidly. These are frequently caused by power quality disturbances (PQ) in the electrical network. It is necessary to detect and classify the different PQ disturbances (i.e. single and mixed) in order to prevent the network and its connected equipment. This paper presents PQ disturbances detection and classification by using a discrete Teager energy operator (DTEO). Initially, voltage signals of PQ disturbances are captured from the proposed microgrid i.e. PV based DC microgrid at point of common coupling (PCC). Further, these signals are passed through DTEO for detection with the help of a first peak. These detected PQ signals are passed through the statistical features i.e. Teager energy kurtosis and Teager energy mean for classification by using the simple decision tree. The performance and superiority of the proposed method are verified in terms of classification accuracy (CA) when compared to other existing methods. Here it is evidenced that the proposed method is simple, more flexible and it reduces the complexity by avoiding the other signal processing algorithms.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121121843","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 : 2021-10-08DOI: 10.1109/APSIT52773.2021.9641173
Priya Gupta, D. Ghosh
Non orthogonal multiple access (NOMA) grasped remarkable interest in fifth generation (5G) owing to its remarkable spectral efficiency. Less resource availability motivates researchers to find an efficient way to distribute it amongst users. While taking into account of power budget and minimum user rate (QoS) constraint, the system energy efficiency (EE) optimization problem is formulated to balance the system throughput and total power consumption. Our aim is to optimize channel assignment with power allocation for the maximization of the EE in uplink NOMA system. Energy efficient resource distribution technique with a lower degree of complexity is discussed. System EE is an output metric that is addressed, evaluated, and considered for the simulation outcomes.
{"title":"QoS Based Energy Efficiency Maximization for Uplink NOMA Networks","authors":"Priya Gupta, D. Ghosh","doi":"10.1109/APSIT52773.2021.9641173","DOIUrl":"https://doi.org/10.1109/APSIT52773.2021.9641173","url":null,"abstract":"Non orthogonal multiple access (NOMA) grasped remarkable interest in fifth generation (5G) owing to its remarkable spectral efficiency. Less resource availability motivates researchers to find an efficient way to distribute it amongst users. While taking into account of power budget and minimum user rate (QoS) constraint, the system energy efficiency (EE) optimization problem is formulated to balance the system throughput and total power consumption. Our aim is to optimize channel assignment with power allocation for the maximization of the EE in uplink NOMA system. Energy efficient resource distribution technique with a lower degree of complexity is discussed. System EE is an output metric that is addressed, evaluated, and considered for the simulation outcomes.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114984762","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 : 2021-10-08DOI: 10.1109/APSIT52773.2021.9641451
Nirlipta Kar, S. Kamilla
Early detection of volatile organic compounds like acetone (CH3-CO-CH3) demands a prior work for a healthy environment as their presence with higher concentration negatively impacts health, causing serious diseases. To fabricate a VOC gas sensor operating at low temperature with improved sensitivity, Ni-doped ZnO nanoparticles (NZNPs) were prepared by the sol-gel auto combustion method by taking zinc nitrate hexahydrate and nickel nitrate hexahydrate as starting materials with very low cost. X-ray diffraction (XRD) patterns reveals polycrystalline nature of the samples with hexagonal wurtzite structure. The samples are found to be free from impurity phases with average crystallite size in the nanometer range, indicating positive signs towards improved gas sensing properties. Scanning electron microscopy (SEM) studied surface morphology, which reveals small grain size with a porous arrangement. Sensing properties of NZNPs were carried out for the detection of acetone both at room temperature (RT) and 100°C. It was observed that NZNPs show better sensitivity with lower response time(~18sec.) and recovery time(~8sec.) towards acetone at the optimal operating temperature of 100°C, indicating its applicability in low-temperature operating sensing devices.
{"title":"Performance of Ni-doped ZnO nanoparticles towards CH3-CO-CH3 sensing","authors":"Nirlipta Kar, S. Kamilla","doi":"10.1109/APSIT52773.2021.9641451","DOIUrl":"https://doi.org/10.1109/APSIT52773.2021.9641451","url":null,"abstract":"Early detection of volatile organic compounds like acetone (CH3-CO-CH3) demands a prior work for a healthy environment as their presence with higher concentration negatively impacts health, causing serious diseases. To fabricate a VOC gas sensor operating at low temperature with improved sensitivity, Ni-doped ZnO nanoparticles (NZNPs) were prepared by the sol-gel auto combustion method by taking zinc nitrate hexahydrate and nickel nitrate hexahydrate as starting materials with very low cost. X-ray diffraction (XRD) patterns reveals polycrystalline nature of the samples with hexagonal wurtzite structure. The samples are found to be free from impurity phases with average crystallite size in the nanometer range, indicating positive signs towards improved gas sensing properties. Scanning electron microscopy (SEM) studied surface morphology, which reveals small grain size with a porous arrangement. Sensing properties of NZNPs were carried out for the detection of acetone both at room temperature (RT) and 100°C. It was observed that NZNPs show better sensitivity with lower response time(~18sec.) and recovery time(~8sec.) towards acetone at the optimal operating temperature of 100°C, indicating its applicability in low-temperature operating sensing devices.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132024390","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 : 2021-10-08DOI: 10.1109/APSIT52773.2021.9641320
S. Sahoo, Paramananda Rout
The study deals with the steady MHD plane Couette flow in porous medium with transpiration cooling of an incompressible viscous fluid. The flow past through two flat permeable plate of infinite length placed horizontally. The solution of the linear ordinary differential equations of velocity and temperature are obtained analytically. The controls of the pertinent parameter of the flow are scrutinized via graphs. The skin-friction coefficient and Nusselt number for different flow parameters have been computed and displayed in table. Some important findings of the study are: Lorentz force has decelerating effect on the velocity profile. The flow field temperature is less for less viscous fluid and is more for more viscous fluid. The drag near the plate increases with the augmentation in the porosity. The present model has applications in heat exchangers, jet nozzles, turbines, etc. To increase the effectiveness of the surface of the heat insulation, the study of free convection is essential to estimate the behavior of porosity in heat transfer. This model can also be used as a quick design instrument for “porous transpiration cooling architectures”.
{"title":"The MHD Plane Couette Flow in Porous Medium with Transpiration Cooling","authors":"S. Sahoo, Paramananda Rout","doi":"10.1109/APSIT52773.2021.9641320","DOIUrl":"https://doi.org/10.1109/APSIT52773.2021.9641320","url":null,"abstract":"The study deals with the steady MHD plane Couette flow in porous medium with transpiration cooling of an incompressible viscous fluid. The flow past through two flat permeable plate of infinite length placed horizontally. The solution of the linear ordinary differential equations of velocity and temperature are obtained analytically. The controls of the pertinent parameter of the flow are scrutinized via graphs. The skin-friction coefficient and Nusselt number for different flow parameters have been computed and displayed in table. Some important findings of the study are: Lorentz force has decelerating effect on the velocity profile. The flow field temperature is less for less viscous fluid and is more for more viscous fluid. The drag near the plate increases with the augmentation in the porosity. The present model has applications in heat exchangers, jet nozzles, turbines, etc. To increase the effectiveness of the surface of the heat insulation, the study of free convection is essential to estimate the behavior of porosity in heat transfer. This model can also be used as a quick design instrument for “porous transpiration cooling architectures”.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133057168","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 : 2021-10-08DOI: 10.1109/APSIT52773.2021.9641495
S. Dash, S. Mishra, Usharani Raut, A. Abdelaziz
This paper utilizes various proposed improved versions of the Symbiotic Organisms Search (SOS) algorithm to optimally allocate DSTACOMs in an electric distribution network to minimize power loss and to improve the voltage profiles. The performances of the three improved Symbiotic Organisms Search algorithms and the original Symbiotic Organism Search algorithm are compared applying these for a 69-bus test distribution system to optimally select one, two and three numbers of DSTATCOMs. Statistical analysis of the results establishes the robustness of the proposed improved SOS.
{"title":"Optimal Allocation of DSTATCOM Units in Electric Distribution Network Using Improved Symbiotic Organisms Search Algorithms","authors":"S. Dash, S. Mishra, Usharani Raut, A. Abdelaziz","doi":"10.1109/APSIT52773.2021.9641495","DOIUrl":"https://doi.org/10.1109/APSIT52773.2021.9641495","url":null,"abstract":"This paper utilizes various proposed improved versions of the Symbiotic Organisms Search (SOS) algorithm to optimally allocate DSTACOMs in an electric distribution network to minimize power loss and to improve the voltage profiles. The performances of the three improved Symbiotic Organisms Search algorithms and the original Symbiotic Organism Search algorithm are compared applying these for a 69-bus test distribution system to optimally select one, two and three numbers of DSTATCOMs. Statistical analysis of the results establishes the robustness of the proposed improved SOS.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114090963","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}
Today, we find the growing need of interconnecting devices and networks around us to achieve smarter technology. We are in an era where every field of human livelihood and ecommerce can be enhanced by deploying sensors and incorporating IoT. Dairy farming is no exception. In this paper, we provide a subtle idea to enhance revenue and milk production from dairy farming by early detection of lameness in cattle through deployment of sensors and cloud technology. The early detection helps taking necessary precautions by farmer. The paper aims to provide a cost effective way for early detection of lameness feature in cattle and also states the other benefits and challenges associated with it.
{"title":"IoT Based Fog and Cloud Analytics in Smart Dairy Farming","authors":"Subhra Debdas, Sarbani Mohanty, Biswarup Biswas, Anuridhi Chhangani, Subhankar Samanta, Srijita Chakraborty","doi":"10.1109/APSIT52773.2021.9641456","DOIUrl":"https://doi.org/10.1109/APSIT52773.2021.9641456","url":null,"abstract":"Today, we find the growing need of interconnecting devices and networks around us to achieve smarter technology. We are in an era where every field of human livelihood and ecommerce can be enhanced by deploying sensors and incorporating IoT. Dairy farming is no exception. In this paper, we provide a subtle idea to enhance revenue and milk production from dairy farming by early detection of lameness in cattle through deployment of sensors and cloud technology. The early detection helps taking necessary precautions by farmer. The paper aims to provide a cost effective way for early detection of lameness feature in cattle and also states the other benefits and challenges associated with it.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116654824","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 : 2021-10-08DOI: 10.1109/APSIT52773.2021.9641337
S. Dash, S. Mishra, Usharani Raut, A. Abdelaziz
This paper proposes an improved version of the Symbiotic Organisms Search (SOS) algorithm based on oppositional learning and adaptive chaotic local search strategy for simultaneous optimal allocation of multiple DSTACOMs and different types of DG units in an electric distribution network to minimize power loss, improve the voltage profiles and enhance voltage stability margin. The performance of the improved Symbiotic Organisms Search algorithm and the original Symbiotic Organism Search algorithms are compared applying these for a 33-bus test distribution system.
{"title":"An Improved Symbiotic Organisms Search Algorithm for Multi-objective Simultaneous Optimal Allocation of DSTATCOM and DG Units","authors":"S. Dash, S. Mishra, Usharani Raut, A. Abdelaziz","doi":"10.1109/APSIT52773.2021.9641337","DOIUrl":"https://doi.org/10.1109/APSIT52773.2021.9641337","url":null,"abstract":"This paper proposes an improved version of the Symbiotic Organisms Search (SOS) algorithm based on oppositional learning and adaptive chaotic local search strategy for simultaneous optimal allocation of multiple DSTACOMs and different types of DG units in an electric distribution network to minimize power loss, improve the voltage profiles and enhance voltage stability margin. The performance of the improved Symbiotic Organisms Search algorithm and the original Symbiotic Organism Search algorithms are compared applying these for a 33-bus test distribution system.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128616615","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 : 2021-10-08DOI: 10.1109/APSIT52773.2021.9641481
Nityananda Giri, R. Mallick, Tushar Kumar Patel, Sairam Mishra
A improved differential protection technique based on empirical mode decomposition is implemented with a small microgrid model. This research proposes an improved differential protection method for microgrid based on differential energy content of sampled current signal data. A modified empirical mode decomposition technique is used to decompose the raw current signals. The instantaneous energy content of most informative intrinsic mode function is computed for current waveforms. Threshold for differential energy content is selected to discriminate fault and no-fault conditions with varying operating conditions and varying network topology. The efficacy of the proposed technique is tested in terms of speed, dependability, reliability and security. Simulation outcomes displays versatility of the suggested approach.
{"title":"Differential Protection of Microgrid using Signal Processing Approach","authors":"Nityananda Giri, R. Mallick, Tushar Kumar Patel, Sairam Mishra","doi":"10.1109/APSIT52773.2021.9641481","DOIUrl":"https://doi.org/10.1109/APSIT52773.2021.9641481","url":null,"abstract":"A improved differential protection technique based on empirical mode decomposition is implemented with a small microgrid model. This research proposes an improved differential protection method for microgrid based on differential energy content of sampled current signal data. A modified empirical mode decomposition technique is used to decompose the raw current signals. The instantaneous energy content of most informative intrinsic mode function is computed for current waveforms. Threshold for differential energy content is selected to discriminate fault and no-fault conditions with varying operating conditions and varying network topology. The efficacy of the proposed technique is tested in terms of speed, dependability, reliability and security. Simulation outcomes displays versatility of the suggested approach.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134549571","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 : 2021-10-08DOI: 10.1109/APSIT52773.2021.9641310
Satyaranjan Giri, J. K. Tripathy, P. Kumar, Pratyasha Singh, D. Nandi, K. Mohanta
The characteristics of drainage system and their impact on landforms are best understood through comprehensive morphometric study of the basin in which they are found. The significant morphometric research parameters involve linear, regional and relief aspects from which a general understanding of physiography, geology, recent diastrophism, rock material composition etc. can be assessed. Remote Sensing and Geographic Information System (GIS) are important tools for determining morphometric analytical parameters. Different aspects of morphometric parameters were evaluated based on standard formulae/indices postulated by different authors and were examined in the context of sub watersheds of Budhabalang Basin. The study shows the amazing behaviour of the drainage channels extended with properties of large deposition and peak discharge. The river bank morphology of the study area has been shaped over the period and undergone continuous flood events due to its low relief and meandering pattern.
{"title":"Morphometric Analysis of a Sub-Watershed of Lower Budhabalanga River Basin in Baleswar District, Odisha: A Remote Sensing and GIS Approach","authors":"Satyaranjan Giri, J. K. Tripathy, P. Kumar, Pratyasha Singh, D. Nandi, K. Mohanta","doi":"10.1109/APSIT52773.2021.9641310","DOIUrl":"https://doi.org/10.1109/APSIT52773.2021.9641310","url":null,"abstract":"The characteristics of drainage system and their impact on landforms are best understood through comprehensive morphometric study of the basin in which they are found. The significant morphometric research parameters involve linear, regional and relief aspects from which a general understanding of physiography, geology, recent diastrophism, rock material composition etc. can be assessed. Remote Sensing and Geographic Information System (GIS) are important tools for determining morphometric analytical parameters. Different aspects of morphometric parameters were evaluated based on standard formulae/indices postulated by different authors and were examined in the context of sub watersheds of Budhabalang Basin. The study shows the amazing behaviour of the drainage channels extended with properties of large deposition and peak discharge. The river bank morphology of the study area has been shaped over the period and undergone continuous flood events due to its low relief and meandering pattern.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124950568","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}
COVID-19, the pandemic has created a fearsome sensation the entire world. Although in India, many articles of research had examined the spread of this deadly disease, but the population of our country makes it more important to have a closer look at the present scenario of the individual states. The whole world is facing this pandemic for the past 15 months since December 2019, the month when the very first case of covid-19was discovered in China from where it got spread throughout the globe. In January 2020, the first case of covid-19 in India was witnessed. For this very scenario in this paper, we have analyzed and crafted different sections for treatment methodologies and safety measures undertaken, detailed analysis of various States and Union Territories during the outbreak of Covis-19, count on the number of people infected, cured, and died along with the prediction of the upcoming situation of covid-19 in future months. Moreover several time series models had been studied among which FbProphet model fits best to our purpose of study.
{"title":"Covid-19 Data Analysis of India and Future Forecasting Using FbProphet","authors":"Biswarup Biswas, Subhra Debdas, Subhankar Samanta, Srijita Chakraborty, Anuridhi Chhangani, Sarbani Mohanty","doi":"10.1109/APSIT52773.2021.9641221","DOIUrl":"https://doi.org/10.1109/APSIT52773.2021.9641221","url":null,"abstract":"COVID-19, the pandemic has created a fearsome sensation the entire world. Although in India, many articles of research had examined the spread of this deadly disease, but the population of our country makes it more important to have a closer look at the present scenario of the individual states. The whole world is facing this pandemic for the past 15 months since December 2019, the month when the very first case of covid-19was discovered in China from where it got spread throughout the globe. In January 2020, the first case of covid-19 in India was witnessed. For this very scenario in this paper, we have analyzed and crafted different sections for treatment methodologies and safety measures undertaken, detailed analysis of various States and Union Territories during the outbreak of Covis-19, count on the number of people infected, cured, and died along with the prediction of the upcoming situation of covid-19 in future months. Moreover several time series models had been studied among which FbProphet model fits best to our purpose of study.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132630029","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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