Pub Date : 2020-07-03DOI: 10.1109/ICSCAN49426.2020.9262449
Navin Mathew, G. Varaprasad
The technological advancements in the transportation sector has significantly contributed to the nation's growth, but also immensely contributed to the greenhouse gases and air pollution. This air pollution has become a severe threat to the mankind. So in this context, the introduction of non-polluting vehicles has gained significance which led to the introduction of Electric Vehicles (EVs) in India. Even though the EVs are in market, the acceptance by the customers are less compared to the conventional vehicles. Therefore, this study gains significance in finding out the factors which affect the adoption of electric vehicles in India. Some of the factors/ barriers explored from the literature for the adoption of EVs are socio-technical barriers like EV battery range limitations, less number of charging stations, improper government policies, sustainability, user reactions, demographic factors etc. Statistical methods can be used to identify the effect of each factor in adoption. Qualitative and quantitative tools can be used for the analysis of the case. Thus the identification of key factors/ barriers and corresponding actions can be taken for the effective adoption of electric vehicles.
{"title":"Technology advancement: Factors influencing the adoption of Electric Vehicles in India","authors":"Navin Mathew, G. Varaprasad","doi":"10.1109/ICSCAN49426.2020.9262449","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262449","url":null,"abstract":"The technological advancements in the transportation sector has significantly contributed to the nation's growth, but also immensely contributed to the greenhouse gases and air pollution. This air pollution has become a severe threat to the mankind. So in this context, the introduction of non-polluting vehicles has gained significance which led to the introduction of Electric Vehicles (EVs) in India. Even though the EVs are in market, the acceptance by the customers are less compared to the conventional vehicles. Therefore, this study gains significance in finding out the factors which affect the adoption of electric vehicles in India. Some of the factors/ barriers explored from the literature for the adoption of EVs are socio-technical barriers like EV battery range limitations, less number of charging stations, improper government policies, sustainability, user reactions, demographic factors etc. Statistical methods can be used to identify the effect of each factor in adoption. Qualitative and quantitative tools can be used for the analysis of the case. Thus the identification of key factors/ barriers and corresponding actions can be taken for the effective adoption of electric vehicles.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"4 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75453596","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 : 2020-07-03DOI: 10.1109/ICSCAN49426.2020.9262332
R. Gomathi, A. Poonguzhali, S. Kalpana
Psychological radio is considered as the future innovation to take care of the asset designation issue that the necessities of the fifth era of the remote correspondence raised. The goal monitors the framework status through the effectively gotten refreshes. our goal is to structure ideal online status refreshing approach to limit the long haul normal Age of Information at the goal, subject to the vitality causality limitation at the sensor. Right now, Threshold Energy detect Method is proposed. This methodology achieves an extensively higher secondary user throughput than the fixed edge approach.
{"title":"Energy harvesting based minimize of information in Cognitive Radio Network","authors":"R. Gomathi, A. Poonguzhali, S. Kalpana","doi":"10.1109/ICSCAN49426.2020.9262332","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262332","url":null,"abstract":"Psychological radio is considered as the future innovation to take care of the asset designation issue that the necessities of the fifth era of the remote correspondence raised. The goal monitors the framework status through the effectively gotten refreshes. our goal is to structure ideal online status refreshing approach to limit the long haul normal Age of Information at the goal, subject to the vitality causality limitation at the sensor. Right now, Threshold Energy detect Method is proposed. This methodology achieves an extensively higher secondary user throughput than the fixed edge approach.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"36 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77317831","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 : 2020-07-03DOI: 10.1109/ICSCAN49426.2020.9262399
R. Raju, N. Kalaiselvi, Aathiqa Sulthana M, D. I., Selvarani A
Nowadays a huge amount of data is being generated in nook and corner of the world and the educational sector is no such exception. Since the pursuance of education is on growing trend, the data being generated demands to be analyzed. The research on student data analysis involving data mining infused with machine learning technique is rapidly increasing. Data Analysis can be applied to educational data to draw out useful information and to establish important relations among different variables. Educational Data Analysis is used to analyze the student data to predict the student behavior or performance in examination beforehand. This study is based on various machine learning algorithms for educational data Analysis. The main target is to analyze the implementation of various machine learning approaches on educational data used for the purpose of prediction.
{"title":"Educational Data Mining: A Comprehensive Study","authors":"R. Raju, N. Kalaiselvi, Aathiqa Sulthana M, D. I., Selvarani A","doi":"10.1109/ICSCAN49426.2020.9262399","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262399","url":null,"abstract":"Nowadays a huge amount of data is being generated in nook and corner of the world and the educational sector is no such exception. Since the pursuance of education is on growing trend, the data being generated demands to be analyzed. The research on student data analysis involving data mining infused with machine learning technique is rapidly increasing. Data Analysis can be applied to educational data to draw out useful information and to establish important relations among different variables. Educational Data Analysis is used to analyze the student data to predict the student behavior or performance in examination beforehand. This study is based on various machine learning algorithms for educational data Analysis. The main target is to analyze the implementation of various machine learning approaches on educational data used for the purpose of prediction.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"99 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77546261","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 : 2020-07-03DOI: 10.1109/ICSCAN49426.2020.9262430
A. Goel, K. Batra
In today's world, we humans have been communicating with each other through calls, social media applications like whatsapp, facebook, twitter etc. From the social media apps we get social media data from those applications and check what sentences are positive and negative sentiment using sentiment analysis and using deep learning methods like deep neural networks for using the Hindi tweets dataset and classifying them under positive or negative sentiment polarity from twitter accounts.
{"title":"A Deep Learning Classification Approach for Short Messages Sentiment Analysis","authors":"A. Goel, K. Batra","doi":"10.1109/ICSCAN49426.2020.9262430","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262430","url":null,"abstract":"In today's world, we humans have been communicating with each other through calls, social media applications like whatsapp, facebook, twitter etc. From the social media apps we get social media data from those applications and check what sentences are positive and negative sentiment using sentiment analysis and using deep learning methods like deep neural networks for using the Hindi tweets dataset and classifying them under positive or negative sentiment polarity from twitter accounts.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"6 1","pages":"1-3"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77561122","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 : 2020-07-03DOI: 10.1109/ICSCAN49426.2020.9262400
N.Palanivel Ap, T. Vigneshwaran, M.Sriv Arappradhan, R. Madhanraj
The paper is aimed to identify the number plate in the vehicles during difficult situations like distorted, high/low light and dusty situations. The paper proposes the use of the Faster R-CNN to detect the number plate in the vehicle from the surveillance camera which is placed on the traffic areas etc. The created system is used to capture the video of the vehicle and then detect the number plate from the video using frame segmentation and image interpolation for better results. From the resulted image using the technique called optical character recognition is applied on that image for number recognition. These number are given as input to the database to retrieve data like vehicle's name, owner name, address, owner mobile number, etc. The performance of this system is measured using in a graph model. The proposed system is able to achieve a 99.1% accuracy to detect the number plate of the vehicle and show the vehicle's owner information.
{"title":"Automatic Number Plate Detection in Vehicles using Faster R-CNN","authors":"N.Palanivel Ap, T. Vigneshwaran, M.Sriv Arappradhan, R. Madhanraj","doi":"10.1109/ICSCAN49426.2020.9262400","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262400","url":null,"abstract":"The paper is aimed to identify the number plate in the vehicles during difficult situations like distorted, high/low light and dusty situations. The paper proposes the use of the Faster R-CNN to detect the number plate in the vehicle from the surveillance camera which is placed on the traffic areas etc. The created system is used to capture the video of the vehicle and then detect the number plate from the video using frame segmentation and image interpolation for better results. From the resulted image using the technique called optical character recognition is applied on that image for number recognition. These number are given as input to the database to retrieve data like vehicle's name, owner name, address, owner mobile number, etc. The performance of this system is measured using in a graph model. The proposed system is able to achieve a 99.1% accuracy to detect the number plate of the vehicle and show the vehicle's owner information.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"92 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75655228","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 : 2020-07-03DOI: 10.1109/ICSCAN49426.2020.9262391
R. Kalaipriya, S. Devadharshini, R. Rajmohan, M. Pavithra, Dr. T. Ananth kumar
This paper exhibits a Blockchain-based design for our current Electronic Health Records (EHR) frameworks. Electronic Health Records commonly comprise extremely penetrating and precarious records associated with patients. It needs to track all the events that occurred in the records to achieve data integrity for secure transactions. To solve these problems, we proposed two smart agreements, classified contracts, and user record associated contracts. The classified contract involves organizing the records in a distributed ledger format with secured interventions of Doctors and healthcare providers. The user record associated contracts validate the transactions requested by the concerned miners. We evaluate the proposed architecture by realizing the Ethereum framework, which includes Remix environment, Metamask wallet, and Solidity language. Compared to conventional EHR frameworks, the suggested structure with the employment of the Blockchain has improved efficiency and security for storing electronic health records.
{"title":"Certain Investigations on Leveraging Blockchain Technology for Developing Electronic Health Records","authors":"R. Kalaipriya, S. Devadharshini, R. Rajmohan, M. Pavithra, Dr. T. Ananth kumar","doi":"10.1109/ICSCAN49426.2020.9262391","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262391","url":null,"abstract":"This paper exhibits a Blockchain-based design for our current Electronic Health Records (EHR) frameworks. Electronic Health Records commonly comprise extremely penetrating and precarious records associated with patients. It needs to track all the events that occurred in the records to achieve data integrity for secure transactions. To solve these problems, we proposed two smart agreements, classified contracts, and user record associated contracts. The classified contract involves organizing the records in a distributed ledger format with secured interventions of Doctors and healthcare providers. The user record associated contracts validate the transactions requested by the concerned miners. We evaluate the proposed architecture by realizing the Ethereum framework, which includes Remix environment, Metamask wallet, and Solidity language. Compared to conventional EHR frameworks, the suggested structure with the employment of the Blockchain has improved efficiency and security for storing electronic health records.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"8 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78712490","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 : 2020-07-03DOI: 10.1109/ICSCAN49426.2020.9262450
K. Muninathan, S. Arivazhagan, R. Yuvaraj, K. Madhupriya, M. Shanmathi
In this article, the performance of the impeller used in the anaerobic digester and effectiveness of mixing solid waste of the impeller is calculated by CFD analysis. The design of the impeller blades is optimized in order to achieve anaerobic digestion at a higher rate. The characteristics and mixing ratio the performance of the modified impeller is evaluated and the impeller design is altered. In the context the optimization achieves the highest possible mixing of the continuum.
{"title":"CFD Analysis on Performance Improvement of Impeller Mixing Solid Waste in Anaerobic Digestion","authors":"K. Muninathan, S. Arivazhagan, R. Yuvaraj, K. Madhupriya, M. Shanmathi","doi":"10.1109/ICSCAN49426.2020.9262450","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262450","url":null,"abstract":"In this article, the performance of the impeller used in the anaerobic digester and effectiveness of mixing solid waste of the impeller is calculated by CFD analysis. The design of the impeller blades is optimized in order to achieve anaerobic digestion at a higher rate. The characteristics and mixing ratio the performance of the modified impeller is evaluated and the impeller design is altered. In the context the optimization achieves the highest possible mixing of the continuum.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"73 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83734163","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}
This paper talks about the effect of distortion on speech or audio signal and aims to prove using a MATLAB simulation, why human ear is not perceptive to phase distortion. A bandpass filter designed is also implemented to filter out undesirable frequencies which may be present along with the input signal. This was carried out in software and hardware. The inspiration is drawn from various research papers and articles online and it is very intriguing to work with All pass filters given the wide scale real-life applications of All pass filters in places where one could never even imagine for them to be present.
{"title":"Simulation and Integrated Circuit implementation of All pass and Bandpass filter","authors":"Anish Ganguly, Anurag Gupta, Shristi Uniyal, Aditya Ramchandra Dalvi, M. Hota","doi":"10.1109/ICSCAN49426.2020.9262422","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262422","url":null,"abstract":"This paper talks about the effect of distortion on speech or audio signal and aims to prove using a MATLAB simulation, why human ear is not perceptive to phase distortion. A bandpass filter designed is also implemented to filter out undesirable frequencies which may be present along with the input signal. This was carried out in software and hardware. The inspiration is drawn from various research papers and articles online and it is very intriguing to work with All pass filters given the wide scale real-life applications of All pass filters in places where one could never even imagine for them to be present.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"15 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75469118","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 : 2020-07-03DOI: 10.1109/ICSCAN49426.2020.9262299
S. Uthayashangar, T. Aravind, K. Saranidaran, V. Sivapavithran, R. V. Abishek
The main idea of our project is to extract keywords from the collection of dataset from Facebook account data like comment, post by the people. Then, By extracting the keywords from the specific account, we can provide the advertisement with help of the business organizations, to improve the business growth of each organization. Text can be an extremely valuable source of information, but extracting insights from the data can be hard and time-consuming due to its unstructured nature. Businesses are performing to text classification for structuring text in a fast and cost-efficient way to enhance decision-making and automate processes in the model. Instead of relying on manually crafted rules, text classification in machine learning learns to make classifications based on past observations. By using pre-labelled examples as training data, a machine learning algorithm can learn the different subset between pieces of text and that a particular output is expected for a particular input.
{"title":"Taxonomy of keyword extraction in Facebook using Decision Tree algorithm in NLP","authors":"S. Uthayashangar, T. Aravind, K. Saranidaran, V. Sivapavithran, R. V. Abishek","doi":"10.1109/ICSCAN49426.2020.9262299","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262299","url":null,"abstract":"The main idea of our project is to extract keywords from the collection of dataset from Facebook account data like comment, post by the people. Then, By extracting the keywords from the specific account, we can provide the advertisement with help of the business organizations, to improve the business growth of each organization. Text can be an extremely valuable source of information, but extracting insights from the data can be hard and time-consuming due to its unstructured nature. Businesses are performing to text classification for structuring text in a fast and cost-efficient way to enhance decision-making and automate processes in the model. Instead of relying on manually crafted rules, text classification in machine learning learns to make classifications based on past observations. By using pre-labelled examples as training data, a machine learning algorithm can learn the different subset between pieces of text and that a particular output is expected for a particular input.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"78 4 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72669244","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 : 2020-07-03DOI: 10.1109/ICSCAN49426.2020.9262371
S. Sivaramakrishnan, Seran Aruljothi, S. Vijayabalaji
This paper exhibits the structure of interval-valued fuzzy linear space (IVFLS) in anti fuzzy setting. Some interesting operations and theorems on interval-valued anti fuzzy linear space (IVAFLS) are provided with suitable examples.
{"title":"Interval-valued anti fuzzy linear space","authors":"S. Sivaramakrishnan, Seran Aruljothi, S. Vijayabalaji","doi":"10.1109/ICSCAN49426.2020.9262371","DOIUrl":"https://doi.org/10.1109/ICSCAN49426.2020.9262371","url":null,"abstract":"This paper exhibits the structure of interval-valued fuzzy linear space (IVFLS) in anti fuzzy setting. Some interesting operations and theorems on interval-valued anti fuzzy linear space (IVAFLS) are provided with suitable examples.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"93 1","pages":"1-3"},"PeriodicalIF":0.0,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74107358","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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