Pub Date : 2021-11-19DOI: 10.1109/CENTCON52345.2021.9688008
Nithin Sameer Yerramilli, N. Johnson, Omsri Sainadh Reddy Y, P. Monika, P. S
The old-fashioned manual system of answer script correction is tiresome and time-consuming. Human resources are consumed and wasted. The automatic exam answer checker evaluates the answers and efficiently allocates the marks. Exam management authorities have access to post questions and provide an answer key based on which the system evaluates solutions. The system uses several technologies such as Cloud computing, Optical Character Recognition, and Web Development and Hosting. The handwritten answers are uploaded, or typed solutions are sent to the system. The responses are evaluated according to the answer key provided by the exam authorities. Solutions are uploaded on a webpage where students can login using unique credentials and view their results. The system is user friendly and efficient
{"title":"Automatic Exam Answer Checker using Optical Character Recognition and Sentence Embedding","authors":"Nithin Sameer Yerramilli, N. Johnson, Omsri Sainadh Reddy Y, P. Monika, P. S","doi":"10.1109/CENTCON52345.2021.9688008","DOIUrl":"https://doi.org/10.1109/CENTCON52345.2021.9688008","url":null,"abstract":"The old-fashioned manual system of answer script correction is tiresome and time-consuming. Human resources are consumed and wasted. The automatic exam answer checker evaluates the answers and efficiently allocates the marks. Exam management authorities have access to post questions and provide an answer key based on which the system evaluates solutions. The system uses several technologies such as Cloud computing, Optical Character Recognition, and Web Development and Hosting. The handwritten answers are uploaded, or typed solutions are sent to the system. The responses are evaluated according to the answer key provided by the exam authorities. Solutions are uploaded on a webpage where students can login using unique credentials and view their results. The system is user friendly and efficient","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","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":"125052258","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/CENTCON52345.2021.9688215
A. Mehta, S. Dave, Shubham Patil, A. Jaiswal
There are a huge number of patients that require Palliative Care. These patients usually suffer from diseases like various types of cancer, AIDS, and many more. One of the most important problems that occur when solving Palliative Care is there are no tools available in the technical domain that can aid the patients. It faces another issue that there are no concrete methodologies to treat the patients effectively. Hence, there is no widespread availability to treat patients that need Palliative Care. The paper proposes a system that provides the faced in Palliative Care with the help of technology. The system, called PalliCare, aims to resolve a multitude of problems faced by the patients. This can be helpful to improve the lives of the patients and their families. The features include deep learning-based Facial Sentiment Analysis, a Medicine Delivery System, and a Therapy System that allows the patient to conduct therapy sessions online. The proposed system aims to integrate a variety of individuals - therapists, pharmaceutical companies, and NGOs to provide the above-mentioned features. The paper reviews in detail the existing technologies that can be used to build the system and expounds on their benefits. The goal is to serve an ever-growing need of patients requiring Palliative Care. Using modern technologies, PalliCare has the potential of revolutionizing the treatment of Palliative Care.
{"title":"PalliCare: A disruptive and a novel solution for Palliative Care","authors":"A. Mehta, S. Dave, Shubham Patil, A. Jaiswal","doi":"10.1109/CENTCON52345.2021.9688215","DOIUrl":"https://doi.org/10.1109/CENTCON52345.2021.9688215","url":null,"abstract":"There are a huge number of patients that require Palliative Care. These patients usually suffer from diseases like various types of cancer, AIDS, and many more. One of the most important problems that occur when solving Palliative Care is there are no tools available in the technical domain that can aid the patients. It faces another issue that there are no concrete methodologies to treat the patients effectively. Hence, there is no widespread availability to treat patients that need Palliative Care. The paper proposes a system that provides the faced in Palliative Care with the help of technology. The system, called PalliCare, aims to resolve a multitude of problems faced by the patients. This can be helpful to improve the lives of the patients and their families. The features include deep learning-based Facial Sentiment Analysis, a Medicine Delivery System, and a Therapy System that allows the patient to conduct therapy sessions online. The proposed system aims to integrate a variety of individuals - therapists, pharmaceutical companies, and NGOs to provide the above-mentioned features. The paper reviews in detail the existing technologies that can be used to build the system and expounds on their benefits. The goal is to serve an ever-growing need of patients requiring Palliative Care. Using modern technologies, PalliCare has the potential of revolutionizing the treatment of Palliative Care.","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","volume":"9 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":"122847717","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/CENTCON52345.2021.9688082
Nagarathna C R, K. M
From the past decade, the researcher makes use of deep learning techniques for their research. The objective of various applications is achieved using these techniques. Alzheimer's is a physical brain disease, recently much research is going on to develop an efficient model to diagnose the early stages of Alzheimer's. The deep learning technique in the medical field helps to find medicines and diagnosis of disease. In this paper, we experimented Hybrid model, which is a combination of VGG19 and additional layers, and a CNN deep learning model for detecting and classifying the different stages of Alzheimer's. and compare their performance it shows that the Hybrid model works efficiently in detecting and classifying the different stages of Alzheimer's. We Analyzed the model for the Magnetic resonance imaging dataset
{"title":"Comparative study of detection and classification of Alzheimer's disease using Hybrid model and CNN","authors":"Nagarathna C R, K. M","doi":"10.1109/CENTCON52345.2021.9688082","DOIUrl":"https://doi.org/10.1109/CENTCON52345.2021.9688082","url":null,"abstract":"From the past decade, the researcher makes use of deep learning techniques for their research. The objective of various applications is achieved using these techniques. Alzheimer's is a physical brain disease, recently much research is going on to develop an efficient model to diagnose the early stages of Alzheimer's. The deep learning technique in the medical field helps to find medicines and diagnosis of disease. In this paper, we experimented Hybrid model, which is a combination of VGG19 and additional layers, and a CNN deep learning model for detecting and classifying the different stages of Alzheimer's. and compare their performance it shows that the Hybrid model works efficiently in detecting and classifying the different stages of Alzheimer's. We Analyzed the model for the Magnetic resonance imaging dataset","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","volume":"44 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":"122228773","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/CENTCON52345.2021.9688258
Neha A Aringale, R. Ramkrishna
A battery and a supercapacitor are the perfect combination forming a hybrid energy storage system to energize an electric vehicle. With bi-directional converter topology, a link is provided between supercapacitor and battery source comprising of integrated magnetic structure. This paper presents the HESS with Lithium ion battery and supercapacitor with load as an Electric vehicle. There is an interconnection of DC-DC converter with integrated magnetic structure, hence, the battery size reduces which in turn reduces the weight & the system becomes compact. Also, the power quality of hybrid energy storage system is optimized. The simulation for the proposed system is carried out in MATLAB/SIMULINK. The results of simulations show the effectiveness of the proposed system.
{"title":"Design of a Hybrid Energy Storage System for an Electric Vehicle","authors":"Neha A Aringale, R. Ramkrishna","doi":"10.1109/CENTCON52345.2021.9688258","DOIUrl":"https://doi.org/10.1109/CENTCON52345.2021.9688258","url":null,"abstract":"A battery and a supercapacitor are the perfect combination forming a hybrid energy storage system to energize an electric vehicle. With bi-directional converter topology, a link is provided between supercapacitor and battery source comprising of integrated magnetic structure. This paper presents the HESS with Lithium ion battery and supercapacitor with load as an Electric vehicle. There is an interconnection of DC-DC converter with integrated magnetic structure, hence, the battery size reduces which in turn reduces the weight & the system becomes compact. Also, the power quality of hybrid energy storage system is optimized. The simulation for the proposed system is carried out in MATLAB/SIMULINK. The results of simulations show the effectiveness of the proposed system.","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","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":"125122796","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/CENTCON52345.2021.9687926
D. S., N. R., Shobhana N, Amudha R, Alamelu R, Renaarajan V
Digitization has increased the pressure on the majority of businesses to adapt to developing digital platforms. As customers have a plethora of options and information available to them via internet sources. Due to the quick pace of change, it is necessary to evaluate the touchpoints that customers most frequently utilize at each step of the purchasing experience. It is critical to understand which internet platform consumers use during the pre-buy, purchase, and post-purchase periods. This study elucidates why customers purchase a certain electronic brand, the digital platforms they often visit at each step, and the online activities in which consumers engage in March and April 2021. Exploratory factor analysis has extracted five components for identifying determinants of digital touch points for consumer decision journey with the overall influence of 94.95%. It has observed that the Behavioral intention has the highest level of control based on the eigenvalue is 28.21%, Consumer self-confidence has 22.1%, Brand positioning has 18.77%, Perceived value of information has 13.54 % of the variance and experience has the influence of 12.36%. Consumer self-confidence is the mediating factor to determine the behavioral intention of consumers for purchasing of electronic goods with the online retailers based on the digital information. Brand positioning has highest impact to determine the consumer self-confidence by 0.73.
{"title":"Impact of Digital Touchpoints towards Consumer Decision Journey with reference to Delta Districts of Tamilnadu","authors":"D. S., N. R., Shobhana N, Amudha R, Alamelu R, Renaarajan V","doi":"10.1109/CENTCON52345.2021.9687926","DOIUrl":"https://doi.org/10.1109/CENTCON52345.2021.9687926","url":null,"abstract":"Digitization has increased the pressure on the majority of businesses to adapt to developing digital platforms. As customers have a plethora of options and information available to them via internet sources. Due to the quick pace of change, it is necessary to evaluate the touchpoints that customers most frequently utilize at each step of the purchasing experience. It is critical to understand which internet platform consumers use during the pre-buy, purchase, and post-purchase periods. This study elucidates why customers purchase a certain electronic brand, the digital platforms they often visit at each step, and the online activities in which consumers engage in March and April 2021. Exploratory factor analysis has extracted five components for identifying determinants of digital touch points for consumer decision journey with the overall influence of 94.95%. It has observed that the Behavioral intention has the highest level of control based on the eigenvalue is 28.21%, Consumer self-confidence has 22.1%, Brand positioning has 18.77%, Perceived value of information has 13.54 % of the variance and experience has the influence of 12.36%. Consumer self-confidence is the mediating factor to determine the behavioral intention of consumers for purchasing of electronic goods with the online retailers based on the digital information. Brand positioning has highest impact to determine the consumer self-confidence by 0.73.","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","volume":"30 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":"129796374","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/CENTCON52345.2021.9688189
Yanglu, Asif Khan, Hemin, Amit Yadav
The purpose of data analysis is to transform original data into information, and then into knowledge. Here, the mountains where Qingcheng Mountain is located as the research case, and the Chengdu area as the research scope, using Python data analysis tools, following the steps of data acquisition, data preprocessing, data analysis and visualization, the influence of mountains on regional temperature and humidity is briefly discussed, demonstrating the general process and methods of Python data analysis.
{"title":"Python Data Analytics of Influence on Temperature and Humidity of City from Mountains: Case Study of Chengdu Qingcheng Mountains","authors":"Yanglu, Asif Khan, Hemin, Amit Yadav","doi":"10.1109/CENTCON52345.2021.9688189","DOIUrl":"https://doi.org/10.1109/CENTCON52345.2021.9688189","url":null,"abstract":"The purpose of data analysis is to transform original data into information, and then into knowledge. Here, the mountains where Qingcheng Mountain is located as the research case, and the Chengdu area as the research scope, using Python data analysis tools, following the steps of data acquisition, data preprocessing, data analysis and visualization, the influence of mountains on regional temperature and humidity is briefly discussed, demonstrating the general process and methods of Python data analysis.","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","volume":"99 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":"114082376","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/CENTCON52345.2021.9688070
Devangam Sai Chaithanya, Kallupalli Lakshmi Narayana, Maheh T R
Data mining is a popular trend these days, and it's being applied in a variety of fields, including student education and learning analytics. Educational Data-Mining (EDM) is a recent field of research that employs data mining (DM) techniques. It uses machine learning (ML) algorithms as well as statistical methodologies to assist the user in deciphering a student's learning habits, success in academics, and, if necessary, further progress. Manually analyzing data and uncovering hidden information is difficult and time-consuming. Classification will be employed in the article to improve educational data mining. We need to improve performance as well as the clarity of the models we acquire. In this study, we will cover various data mining strategies that can be used to forecast student performance levels.
{"title":"A Comprehensive Analysis: Classification Techniques for Educational Data mining","authors":"Devangam Sai Chaithanya, Kallupalli Lakshmi Narayana, Maheh T R","doi":"10.1109/CENTCON52345.2021.9688070","DOIUrl":"https://doi.org/10.1109/CENTCON52345.2021.9688070","url":null,"abstract":"Data mining is a popular trend these days, and it's being applied in a variety of fields, including student education and learning analytics. Educational Data-Mining (EDM) is a recent field of research that employs data mining (DM) techniques. It uses machine learning (ML) algorithms as well as statistical methodologies to assist the user in deciphering a student's learning habits, success in academics, and, if necessary, further progress. Manually analyzing data and uncovering hidden information is difficult and time-consuming. Classification will be employed in the article to improve educational data mining. We need to improve performance as well as the clarity of the models we acquire. In this study, we will cover various data mining strategies that can be used to forecast student performance levels.","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","volume":"7 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":"134291253","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/CENTCON52345.2021.9688321
B. Mahitha, V. S
In a nearby future, applications of WSN are expected to bring an evolution in data collection, data processing and others. However, Energy consumption is one of the crucial issues when it comes to designing the Network. Apart from the energy consumption other issues like network lifetime, network failure also influences the design of the network. Several methods have been proposed for improving the network lifetime however these methods fail in addressing issues such as complexity, redundancy. Hence in this research work we have proposed a methodology called DSPCH (Dual step based probable cluster head)-selection to enhance network lifetime, achieve efficient transmission and network development. The main aim of DSPCH is to optimize the energy for efficient transmission and hence to improve the network life time. DSPCH follows a two-step mechanism to select cluster head. First step is through designed probability mechanism and second step is based on the node lifetime considering optimization in both the steps. Further, DSPCH model is evaluated considering the different parameters like energy consumption, network lifetime in terms of number of rounds and number of dead nodes. Comparative analysis is carried out with the existing model in terms of the same parameters to evaluate and prove the model efficiency.
{"title":"Energy Optimization through Dual step based probable Cluster Head selection in WSN Environment","authors":"B. Mahitha, V. S","doi":"10.1109/CENTCON52345.2021.9688321","DOIUrl":"https://doi.org/10.1109/CENTCON52345.2021.9688321","url":null,"abstract":"In a nearby future, applications of WSN are expected to bring an evolution in data collection, data processing and others. However, Energy consumption is one of the crucial issues when it comes to designing the Network. Apart from the energy consumption other issues like network lifetime, network failure also influences the design of the network. Several methods have been proposed for improving the network lifetime however these methods fail in addressing issues such as complexity, redundancy. Hence in this research work we have proposed a methodology called DSPCH (Dual step based probable cluster head)-selection to enhance network lifetime, achieve efficient transmission and network development. The main aim of DSPCH is to optimize the energy for efficient transmission and hence to improve the network life time. DSPCH follows a two-step mechanism to select cluster head. First step is through designed probability mechanism and second step is based on the node lifetime considering optimization in both the steps. Further, DSPCH model is evaluated considering the different parameters like energy consumption, network lifetime in terms of number of rounds and number of dead nodes. Comparative analysis is carried out with the existing model in terms of the same parameters to evaluate and prove the model efficiency.","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","volume":"118 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":"134483238","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/CENTCON52345.2021.9687888
Sharanya S Bhat, K. Shraddha, A. Bhavana, S. Rao
Medicines play an important part in each and everyone's life where some of them relieve us from diseases, disorders or pains and some of them are very essential lifesaving ones. Some of them are rarely available and need to be priorly ordered in remote places and also some are very ex-pensive. One of the most common problems is that we all tend to miss the expiry of our medicines or sometimes the strips get ripped off and the information related to the tablet or the medicine becomes unavailable. Most of us spend our time writing down the same in notepads and waste time in labelling the medicines. For maintaining appropriate dosage infor-mation of the medicines, many try to organize their prescriptions but there are always chances of losing them. Notepads, keynotes and alarm reminders may be an easy solution that strikes to us at the first thought but is not efficient. There is no way of getting reminded about the expiry of any of the medi-cines that's written in a notepad. Many of the conventional apps provide a feature to get reminded about the medicines to be taken daily or provide a one-time notification for the expiry of the medicines that are in its entry which the users may clear off from the mobile's notification panel as a result of having a busy day. Also, most available applications provide an expiry tracking feature more in general than only for medicines. This paper is about an application that provides more convenient and effective solution to the problem and to the best of our knowledge is the first application designed to remind its user through reminder notifications about the expired and about to expire medicines.
{"title":"Digital Medicine Assistant-Health Application for Expiry Tracking","authors":"Sharanya S Bhat, K. Shraddha, A. Bhavana, S. Rao","doi":"10.1109/CENTCON52345.2021.9687888","DOIUrl":"https://doi.org/10.1109/CENTCON52345.2021.9687888","url":null,"abstract":"Medicines play an important part in each and everyone's life where some of them relieve us from diseases, disorders or pains and some of them are very essential lifesaving ones. Some of them are rarely available and need to be priorly ordered in remote places and also some are very ex-pensive. One of the most common problems is that we all tend to miss the expiry of our medicines or sometimes the strips get ripped off and the information related to the tablet or the medicine becomes unavailable. Most of us spend our time writing down the same in notepads and waste time in labelling the medicines. For maintaining appropriate dosage infor-mation of the medicines, many try to organize their prescriptions but there are always chances of losing them. Notepads, keynotes and alarm reminders may be an easy solution that strikes to us at the first thought but is not efficient. There is no way of getting reminded about the expiry of any of the medi-cines that's written in a notepad. Many of the conventional apps provide a feature to get reminded about the medicines to be taken daily or provide a one-time notification for the expiry of the medicines that are in its entry which the users may clear off from the mobile's notification panel as a result of having a busy day. Also, most available applications provide an expiry tracking feature more in general than only for medicines. This paper is about an application that provides more convenient and effective solution to the problem and to the best of our knowledge is the first application designed to remind its user through reminder notifications about the expired and about to expire medicines.","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","volume":"17 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":"124467826","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/CENTCON52345.2021.9688266
Nandini K, Girisha G. S
Recent years, cloud computing has introduced a number of emerging techniques for efficient ways of storing and sharing the land registry data on cloud. In this paper we have done a survey on how we can provide security to land registry data on cloud, we found one of the emerging techniques that is blockchain. The invention of decentralized network increases computational demands and it's proven to be more secure using lightweight cryptographic based on this we have design the architecture and Records storing and access protocol (RSAP) This advanced model helps to improve the service with high security, high flexibility, availability of data and improve the performance of the network. However, this new idea also raises concerns about land registry data security and privacy on ethereum private blockchain networks.
{"title":"Efficient-way of Data Storage on Decentralized Cloud using Blockchain Technology","authors":"Nandini K, Girisha G. S","doi":"10.1109/CENTCON52345.2021.9688266","DOIUrl":"https://doi.org/10.1109/CENTCON52345.2021.9688266","url":null,"abstract":"Recent years, cloud computing has introduced a number of emerging techniques for efficient ways of storing and sharing the land registry data on cloud. In this paper we have done a survey on how we can provide security to land registry data on cloud, we found one of the emerging techniques that is blockchain. The invention of decentralized network increases computational demands and it's proven to be more secure using lightweight cryptographic based on this we have design the architecture and Records storing and access protocol (RSAP) This advanced model helps to improve the service with high security, high flexibility, availability of data and improve the performance of the network. However, this new idea also raises concerns about land registry data security and privacy on ethereum private blockchain networks.","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","volume":"36 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":"128160366","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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