Pub Date : 2021-11-19DOI: 10.1109/DISCOVER52564.2021.9663588
B. A. Mohan, N. Sreenivasa, E. G. Satish, Roshan Fernandes, H. Sarojadevi, Anisha P. Rodrigues
This application is designed to help people quit smoking and monitor their health. There are achievements at every stage that the user can take a moment to enjoy himself upon successful quitting. It is very helpful and useful tool as it gives the insights into forecasting and also a real-time notification approach incorporated. The user can continuously monitor his health and also feel how good it can be if he quits the smoking. The risk of Lung-Disease can be analyzed with the help of different parameter values by using different machine learning models. The risk is also shown on entering parameter values for thorasic-surgery. In the contained way, our project is mainly based on eradicating smoking and its related disorders by providing a helping hand to customers (an app/web app) to keep in check with the lung related disorders.
{"title":"Breatheasy - An Android Application To Quit The Smoking","authors":"B. A. Mohan, N. Sreenivasa, E. G. Satish, Roshan Fernandes, H. Sarojadevi, Anisha P. Rodrigues","doi":"10.1109/DISCOVER52564.2021.9663588","DOIUrl":"https://doi.org/10.1109/DISCOVER52564.2021.9663588","url":null,"abstract":"This application is designed to help people quit smoking and monitor their health. There are achievements at every stage that the user can take a moment to enjoy himself upon successful quitting. It is very helpful and useful tool as it gives the insights into forecasting and also a real-time notification approach incorporated. The user can continuously monitor his health and also feel how good it can be if he quits the smoking. The risk of Lung-Disease can be analyzed with the help of different parameter values by using different machine learning models. The risk is also shown on entering parameter values for thorasic-surgery. In the contained way, our project is mainly based on eradicating smoking and its related disorders by providing a helping hand to customers (an app/web app) to keep in check with the lung related disorders.","PeriodicalId":413789,"journal":{"name":"2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"11 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121007663","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 : 2021-11-19DOI: 10.1109/DISCOVER52564.2021.9663617
M. Gagandeep, R. Pushpalatha, B. Ramesh
The data centre is fundamental to cloud computing. Data centers are currently being strained by the rising demand for cloud computing services. Cloud computing practices are very important in terms of device performance and schedule that can make it easier for users to distribute the workload among network resources. Any data-center services can eventually become overloaded/ under loaded, resulting in increased energy usage, as well as decreased functionality and resource waste.As a result, this paper uses a contextual with multiple metrics to adopt optimization algorithms that are implemented by load balancing. Load balancing with system integration strengthens resource utilization but can increase Performance of System (Latency) metrics. This research aims to incorporate a new system for congestion control and server expansion including migration latency, device threshold, QoS, and energy consumption.
{"title":"Load Balancing and Predictive Analysis Model Implementation in Public Cloud","authors":"M. Gagandeep, R. Pushpalatha, B. Ramesh","doi":"10.1109/DISCOVER52564.2021.9663617","DOIUrl":"https://doi.org/10.1109/DISCOVER52564.2021.9663617","url":null,"abstract":"The data centre is fundamental to cloud computing. Data centers are currently being strained by the rising demand for cloud computing services. Cloud computing practices are very important in terms of device performance and schedule that can make it easier for users to distribute the workload among network resources. Any data-center services can eventually become overloaded/ under loaded, resulting in increased energy usage, as well as decreased functionality and resource waste.As a result, this paper uses a contextual with multiple metrics to adopt optimization algorithms that are implemented by load balancing. Load balancing with system integration strengthens resource utilization but can increase Performance of System (Latency) metrics. This research aims to incorporate a new system for congestion control and server expansion including migration latency, device threshold, QoS, and energy consumption.","PeriodicalId":413789,"journal":{"name":"2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132335987","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 : 2021-11-19DOI: 10.1109/discover52564.2021.9663626
{"title":"[DISCOVER 2021 Front cover]","authors":"","doi":"10.1109/discover52564.2021.9663626","DOIUrl":"https://doi.org/10.1109/discover52564.2021.9663626","url":null,"abstract":"","PeriodicalId":413789,"journal":{"name":"2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117245785","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}
One of the major concern in the agricultural sector is the control of weeds. Weeds are capable of reducing the crop yield significantly and thus in curhuge loss. There are many ways of controlling weeds like using chemical herbicides, manual weeding, and using mechanical weeder. Overuse of chemical herbicides for weeds harms environment. Shortage of labors is a main problem with manual weeding. Mechanical weeding is not effective and is not suitable for some of the crops like direct-seeded rice fields. In recenty ears, technology is being explored in agriculture for the automatic detection and identification weeds from the digital images. This is useful in recommending specific herbicides and thus reducing overuse of herbicides and herbicide-resistant weeds. Thus contributing to site-specific weed management. This paper reviews some of the important research works carried out for the classification of crop and weeds from the digital images. In addition, some of the important future research scopes are discussed in this paper.
{"title":"Classification of Crop and Weed from Digital Images: A Review","authors":"Radhika Kamath, Mamatha Balachandra, Srikanth Prabhu","doi":"10.1109/DISCOVER52564.2021.9663729","DOIUrl":"https://doi.org/10.1109/DISCOVER52564.2021.9663729","url":null,"abstract":"One of the major concern in the agricultural sector is the control of weeds. Weeds are capable of reducing the crop yield significantly and thus in curhuge loss. There are many ways of controlling weeds like using chemical herbicides, manual weeding, and using mechanical weeder. Overuse of chemical herbicides for weeds harms environment. Shortage of labors is a main problem with manual weeding. Mechanical weeding is not effective and is not suitable for some of the crops like direct-seeded rice fields. In recenty ears, technology is being explored in agriculture for the automatic detection and identification weeds from the digital images. This is useful in recommending specific herbicides and thus reducing overuse of herbicides and herbicide-resistant weeds. Thus contributing to site-specific weed management. This paper reviews some of the important research works carried out for the classification of crop and weeds from the digital images. In addition, some of the important future research scopes are discussed in this paper.","PeriodicalId":413789,"journal":{"name":"2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122846010","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 : 2021-11-19DOI: 10.1109/DISCOVER52564.2021.9663590
P. Kopperundevi, M. S. Prakash
The newly introduced in-loop filtering tool in the High Efficiency Video Coding (HEVC) standard is the Sample Adaptive Offset (SAO) filter. It mainly helps to reduce the ringing artifacts, that occurs due to distortion or loss of high frequency information. While SAO contributes to a significant increase in coding efficiency, the complexity of in-loop filtering in HEVC encoding is dominated by the estimation of SAO parameters. The SAO estimation primarily includes two phases: the statistics collection phase and the parameter determination phase. The statistics collection phase involves calculating sum and count for band and edge offset. The parameter determination phase involves distortion and offset generation, cost generation and decision, SAO type decision and finally, merge mode decision. In this paper, we designed the SAO encoder’s hardware architecture using a separate clock for each phase. The evaluation of proposed architecture results in decrease in the area of 4%-73% when compared with existing architectures while achieving a similar throughput rate. The design occupies a 70K gate count with a minimum operating frequency of 375MHz.
{"title":"A Hardware Architecture for Sample Adaptive Offset Filter in HEVC","authors":"P. Kopperundevi, M. S. Prakash","doi":"10.1109/DISCOVER52564.2021.9663590","DOIUrl":"https://doi.org/10.1109/DISCOVER52564.2021.9663590","url":null,"abstract":"The newly introduced in-loop filtering tool in the High Efficiency Video Coding (HEVC) standard is the Sample Adaptive Offset (SAO) filter. It mainly helps to reduce the ringing artifacts, that occurs due to distortion or loss of high frequency information. While SAO contributes to a significant increase in coding efficiency, the complexity of in-loop filtering in HEVC encoding is dominated by the estimation of SAO parameters. The SAO estimation primarily includes two phases: the statistics collection phase and the parameter determination phase. The statistics collection phase involves calculating sum and count for band and edge offset. The parameter determination phase involves distortion and offset generation, cost generation and decision, SAO type decision and finally, merge mode decision. In this paper, we designed the SAO encoder’s hardware architecture using a separate clock for each phase. The evaluation of proposed architecture results in decrease in the area of 4%-73% when compared with existing architectures while achieving a similar throughput rate. The design occupies a 70K gate count with a minimum operating frequency of 375MHz.","PeriodicalId":413789,"journal":{"name":"2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122983051","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 : 2021-11-19DOI: 10.1109/DISCOVER52564.2021.9663647
H. Spoorti, R. Sneha, V. Soujanya, K. Heena, S. Pooja, D. Narayan
With the steady increase in complexity of cloud computing and other technologies, there has been a significant concern for providing privacy and data security. For secure access of cloud resources, protection of sensitive data is essential. The critical data that relates to resource provisioning in cloud environment includes key pairs and IP addresses. The user needs this critical data to access the resources which has been provisioned. In conventional systems, this data is directly provided to the user. This technique results in local storage and opens up a vulnerability of snooping by a malicious intruder. Furthermore, the user needs to repeatedly remember the key pairs and other information of all the created resources. Recently, Blockchain, with its decentralized and immutable features is being explored in the design access control mechanism. In this work, we design blockchain based access control mechanism to access cloud resources. We use OpenStack cloud to provision the resources, store the critical data of resources in Ethereum blockchain and use secure access control to cloud resources. We also carry out the scalability and performance analysis of the blockchain based system using Ethereum platform.
{"title":"Secure Access Control to Cloud Resources using Blockchain","authors":"H. Spoorti, R. Sneha, V. Soujanya, K. Heena, S. Pooja, D. Narayan","doi":"10.1109/DISCOVER52564.2021.9663647","DOIUrl":"https://doi.org/10.1109/DISCOVER52564.2021.9663647","url":null,"abstract":"With the steady increase in complexity of cloud computing and other technologies, there has been a significant concern for providing privacy and data security. For secure access of cloud resources, protection of sensitive data is essential. The critical data that relates to resource provisioning in cloud environment includes key pairs and IP addresses. The user needs this critical data to access the resources which has been provisioned. In conventional systems, this data is directly provided to the user. This technique results in local storage and opens up a vulnerability of snooping by a malicious intruder. Furthermore, the user needs to repeatedly remember the key pairs and other information of all the created resources. Recently, Blockchain, with its decentralized and immutable features is being explored in the design access control mechanism. In this work, we design blockchain based access control mechanism to access cloud resources. We use OpenStack cloud to provision the resources, store the critical data of resources in Ethereum blockchain and use secure access control to cloud resources. We also carry out the scalability and performance analysis of the blockchain based system using Ethereum platform.","PeriodicalId":413789,"journal":{"name":"2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116453686","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 : 2021-11-19DOI: 10.1109/DISCOVER52564.2021.9663714
S. Ragani, T. Vijaya Murari, K. Ravishankar
Nowadays Internet is used for faster transmission of valuable information. This information may be text, image, and video anything. With the advancement of computer and biomedical innovations, medical JPEG images contain the patient’s individual data and the security of the private data pulls in incredible consideration. The progression of program and correspondence advancements has made images act significant parts in the domain of telediagnosis, tele-surgery, and so forth. Simultaneously, such signs of progress provide new intends to process clinical pictures; it additionally expands security concern as far as confidentiality, integrity and availability. This paper provides an overview of the various approaches currently in use and then goes on to develop a new mechanism for the same using various Chaos maps techniques in order to provide more integrityand security to the image by making the keyspace large enough towithstand brute force attacks.
{"title":"Security of the Medical Images using Different Chaos map Techniques","authors":"S. Ragani, T. Vijaya Murari, K. Ravishankar","doi":"10.1109/DISCOVER52564.2021.9663714","DOIUrl":"https://doi.org/10.1109/DISCOVER52564.2021.9663714","url":null,"abstract":"Nowadays Internet is used for faster transmission of valuable information. This information may be text, image, and video anything. With the advancement of computer and biomedical innovations, medical JPEG images contain the patient’s individual data and the security of the private data pulls in incredible consideration. The progression of program and correspondence advancements has made images act significant parts in the domain of telediagnosis, tele-surgery, and so forth. Simultaneously, such signs of progress provide new intends to process clinical pictures; it additionally expands security concern as far as confidentiality, integrity and availability. This paper provides an overview of the various approaches currently in use and then goes on to develop a new mechanism for the same using various Chaos maps techniques in order to provide more integrityand security to the image by making the keyspace large enough towithstand brute force attacks.","PeriodicalId":413789,"journal":{"name":"2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116608133","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 : 2021-11-19DOI: 10.1109/DISCOVER52564.2021.9663616
Mohammad Asif Raibag, J. V. Franklin
In India we have shortage of skilled Neuro-Physicians who can correctly and timely analyze the complicated features of electroencephalogram (EEG) signal which is critical in epilepsy diagnosis, and hence developing a reliable seizure classification model remains a challenging task. A Support Vector Machine (SVM)-based mechanism is proposed in this paper for classification of epileptic seizures from EEG recordings of brain activity. Certain relevant features are selected from time-frequency domain EEG recordings (TFD). Principal Component Analysis (PCA) technique is applied to improve the performance of the model and for classification SVM classifier with different kernels is applied. According to the results, the proposed PCA-SVM radial basis kernel approach is capable of improving epilepsy classification, as made evident by the results, which show an accuracy of 96.6% for normal subject data versus epileptic data. The performance with other parameters too show promising results hence the proposed SVM-RBF model achieves robust classification for epilepsy.
{"title":"PCA and SVM Technique for Epileptic Seizure Classification","authors":"Mohammad Asif Raibag, J. V. Franklin","doi":"10.1109/DISCOVER52564.2021.9663616","DOIUrl":"https://doi.org/10.1109/DISCOVER52564.2021.9663616","url":null,"abstract":"In India we have shortage of skilled Neuro-Physicians who can correctly and timely analyze the complicated features of electroencephalogram (EEG) signal which is critical in epilepsy diagnosis, and hence developing a reliable seizure classification model remains a challenging task. A Support Vector Machine (SVM)-based mechanism is proposed in this paper for classification of epileptic seizures from EEG recordings of brain activity. Certain relevant features are selected from time-frequency domain EEG recordings (TFD). Principal Component Analysis (PCA) technique is applied to improve the performance of the model and for classification SVM classifier with different kernels is applied. According to the results, the proposed PCA-SVM radial basis kernel approach is capable of improving epilepsy classification, as made evident by the results, which show an accuracy of 96.6% for normal subject data versus epileptic data. The performance with other parameters too show promising results hence the proposed SVM-RBF model achieves robust classification for epilepsy.","PeriodicalId":413789,"journal":{"name":"2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114942963","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 : 2021-11-19DOI: 10.1109/DISCOVER52564.2021.9663425
P. Abhishek, Y. Akash, D. Narayan
Cloud computing has become an important technology for the processing of large computationally expensive programs and data from real-world. IT organizations are en-trusting the cloud vendors for the security of their computational infrastructures including the data. Thus, there is a need for better provenance assurance for the data present in the cloud for better security and to establish trust between the cloud vendors and customers. Blockchain technology operates in a decentralized way for building trust between the entities in the system using immutable ledger. In this work, we propose the decentralized and trusted cloud data provenance mechanism using Ethereum blockchain platform, IPFS and scalable consensus mechanism. PoW is the consensus algorithm currently used in Ethereum Blockchain. PoW consensus mechanism needs lot of computational power for the processing of data in the Blockchain. Thus, we implement Proof of Stake (POS) consensus algorithm in Ethereum to improve the efficiency of the proposed data provenance mechanism. We demonstrate the performance of PoS-enabled provenance framework in a multi-node testbed. The results reveal that POS performs better than PoW for cloud data provenance.
{"title":"A Scalable Data Provenance Mechanism for Cloud Environment using Ethereum Blockchain","authors":"P. Abhishek, Y. Akash, D. Narayan","doi":"10.1109/DISCOVER52564.2021.9663425","DOIUrl":"https://doi.org/10.1109/DISCOVER52564.2021.9663425","url":null,"abstract":"Cloud computing has become an important technology for the processing of large computationally expensive programs and data from real-world. IT organizations are en-trusting the cloud vendors for the security of their computational infrastructures including the data. Thus, there is a need for better provenance assurance for the data present in the cloud for better security and to establish trust between the cloud vendors and customers. Blockchain technology operates in a decentralized way for building trust between the entities in the system using immutable ledger. In this work, we propose the decentralized and trusted cloud data provenance mechanism using Ethereum blockchain platform, IPFS and scalable consensus mechanism. PoW is the consensus algorithm currently used in Ethereum Blockchain. PoW consensus mechanism needs lot of computational power for the processing of data in the Blockchain. Thus, we implement Proof of Stake (POS) consensus algorithm in Ethereum to improve the efficiency of the proposed data provenance mechanism. We demonstrate the performance of PoS-enabled provenance framework in a multi-node testbed. The results reveal that POS performs better than PoW for cloud data provenance.","PeriodicalId":413789,"journal":{"name":"2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116401407","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 : 2021-11-19DOI: 10.1109/DISCOVER52564.2021.9663675
S. Vishnu, K. Pai, P. S. Praveena Krishna, N. Jayalakshmi, S. D. Suraj, Venugopal Prathimala
The high energy storage density of a Lithium-ion (Liion) cell makes it a good option for modern mobility system. To realize the economic, safe, and reliable utilization of the Li-ion battery pack under different dynamic conditions, the development of accurate Li-ion cell model is necessary for the behavioral analysis. Thevenin’s Equivalent Electric Circuit (EEC) based cell model is considered in this simulation work. The focus of the paper is to model and simulate Thevenin’s EEC-based Li-ion cell by applying the New European Drive Cycle (NEDC) current profile for Electric Vehicle (EV) applications. The simulation is carried out using both MATLAB/Simulink and Typhoon Hardware-In-the-Loop (HIL) software and resulted models of the cell from both the methods are graphically analyzed. The merits of HIL simulation approach over offline MATLAB/Simulink method are highlighted such as rapid prototyping and the minimum cost of experimental validation. This model-based design approach further saves time and increases the flexibility in subjecting the cell model to different dynamic environments during simulation, unlike MATLAB/Simulink simulation.
{"title":"Correlative Analysis of Dynamic Behaviour of Lithium-Ion Cell using MATLAB and Typhoon HIL","authors":"S. Vishnu, K. Pai, P. S. Praveena Krishna, N. Jayalakshmi, S. D. Suraj, Venugopal Prathimala","doi":"10.1109/DISCOVER52564.2021.9663675","DOIUrl":"https://doi.org/10.1109/DISCOVER52564.2021.9663675","url":null,"abstract":"The high energy storage density of a Lithium-ion (Liion) cell makes it a good option for modern mobility system. To realize the economic, safe, and reliable utilization of the Li-ion battery pack under different dynamic conditions, the development of accurate Li-ion cell model is necessary for the behavioral analysis. Thevenin’s Equivalent Electric Circuit (EEC) based cell model is considered in this simulation work. The focus of the paper is to model and simulate Thevenin’s EEC-based Li-ion cell by applying the New European Drive Cycle (NEDC) current profile for Electric Vehicle (EV) applications. The simulation is carried out using both MATLAB/Simulink and Typhoon Hardware-In-the-Loop (HIL) software and resulted models of the cell from both the methods are graphically analyzed. The merits of HIL simulation approach over offline MATLAB/Simulink method are highlighted such as rapid prototyping and the minimum cost of experimental validation. This model-based design approach further saves time and increases the flexibility in subjecting the cell model to different dynamic environments during simulation, unlike MATLAB/Simulink simulation.","PeriodicalId":413789,"journal":{"name":"2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131302574","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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