Pub Date : 2020-12-04DOI: 10.1109/SMART50582.2020.9336791
Megha Dewan, A. Agarwal
Car accidents are taken into consideration certainly one of the most detrimental phenomena. Though there are numerous different reasons behind car accidents, most injuries occur due to driver's unawareness and uncontrolled speed. Also, there appears to be a trouble accomplishing the spot of accident on time due to loss of awareness. So smart vehicle using an Internet of Things (IoT) technology is the solution to reduce the number of accidents and also to prevent theft. This paper presents a smart system design to detect the accident immediately. This system always monitors the gap between the vehicles using ultrasonic sensor. The proposed design is cognizant with GPS/GPRS and GSM that automatically send an alert message to family members and nearest rescue team. The GPS/GPRS system continuously keeps the track of vehicle location and can be used during an accident and theft.
{"title":"IOT Based Smart Vehical Monitoring and Tracking System","authors":"Megha Dewan, A. Agarwal","doi":"10.1109/SMART50582.2020.9336791","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9336791","url":null,"abstract":"Car accidents are taken into consideration certainly one of the most detrimental phenomena. Though there are numerous different reasons behind car accidents, most injuries occur due to driver's unawareness and uncontrolled speed. Also, there appears to be a trouble accomplishing the spot of accident on time due to loss of awareness. So smart vehicle using an Internet of Things (IoT) technology is the solution to reduce the number of accidents and also to prevent theft. This paper presents a smart system design to detect the accident immediately. This system always monitors the gap between the vehicles using ultrasonic sensor. The proposed design is cognizant with GPS/GPRS and GSM that automatically send an alert message to family members and nearest rescue team. The GPS/GPRS system continuously keeps the track of vehicle location and can be used during an accident and theft.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121486076","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 : 2020-12-04DOI: 10.1109/SMART50582.2020.9337087
Renji George Amballoor, S. B. Naik
The study aims to measure the preparedness of the Higher Educational Ecosystem in terms of computer and network technology to implement Learning 4.0 in the state of Goa. The gap analysis between the learning 4.0 scenario and the current situations has been done. Digital network platforms and devices are one of the major drivers of Learning 4.0. The strength of these drivers in the study is based on three aspects of an institution the competency of teachers in understanding and adapting digital technology, the competency of students in using digital technology and the digital environment / ecosystem in the institute. Each of these aspects was measured on a scale 0–1 with higher values indicating a positive outcome for the aspect. From the survey conducted over 5000 students studying in the Colleges in Goa, it was observed that there is more scope for teachers to take initiatives in using digital technology in the curriculum whereby making the students learn about the latest technology available. Additional efforts are required in motivating and encouraging the teachers to efficiently use digital technology in the process of teaching-learning. In case untoward incidents arise, it becomes difficult for students and teachers to be present in a classroom. Expertise in efficient usage of digital technology in the process of teaching-learning may ensure that under such circumstances, teaching-learning is not hampered.
{"title":"Ecosystem Preparedness & Learning 4.0: A Case Study of Higher Education Scenario in Goa","authors":"Renji George Amballoor, S. B. Naik","doi":"10.1109/SMART50582.2020.9337087","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337087","url":null,"abstract":"The study aims to measure the preparedness of the Higher Educational Ecosystem in terms of computer and network technology to implement Learning 4.0 in the state of Goa. The gap analysis between the learning 4.0 scenario and the current situations has been done. Digital network platforms and devices are one of the major drivers of Learning 4.0. The strength of these drivers in the study is based on three aspects of an institution the competency of teachers in understanding and adapting digital technology, the competency of students in using digital technology and the digital environment / ecosystem in the institute. Each of these aspects was measured on a scale 0–1 with higher values indicating a positive outcome for the aspect. From the survey conducted over 5000 students studying in the Colleges in Goa, it was observed that there is more scope for teachers to take initiatives in using digital technology in the curriculum whereby making the students learn about the latest technology available. Additional efforts are required in motivating and encouraging the teachers to efficiently use digital technology in the process of teaching-learning. In case untoward incidents arise, it becomes difficult for students and teachers to be present in a classroom. Expertise in efficient usage of digital technology in the process of teaching-learning may ensure that under such circumstances, teaching-learning is not hampered.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"221 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115990410","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 : 2020-12-04DOI: 10.1109/SMART50582.2020.9336792
Samya Al Busafi, B. Kumar
Recently, there has been a significant increase in the number of Internet users. Thus, digital data has occupied the highest rank in our time, because most companies and governments adopt the total dependence for the transmission of their data transactions with customers and banking transactions over the World Wide Web. Therefore, total reliance on digital data needs to secure this data and preserve it from theft and modification in order to reach the intended user intact without distortion, and this is done by securing this data using encryption with its various techniques. There are many technologies that encrypt the data sent to the receiving party called encryption techniques. This research will examine the analysis of different encryption techniques, for example, symmetric cryptography technique and asymmetric cryptography techniques, Rivest Shamir and Adleman, Diffie-Hellman, Digital Signature Algorithm, (ECC) Elliptic curve cryptography, and how can employ them and explore the best methods of cryptography techniques that give complete confidential and transmitted data.
{"title":"Review and Analysis of Cryptography Techniques","authors":"Samya Al Busafi, B. Kumar","doi":"10.1109/SMART50582.2020.9336792","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9336792","url":null,"abstract":"Recently, there has been a significant increase in the number of Internet users. Thus, digital data has occupied the highest rank in our time, because most companies and governments adopt the total dependence for the transmission of their data transactions with customers and banking transactions over the World Wide Web. Therefore, total reliance on digital data needs to secure this data and preserve it from theft and modification in order to reach the intended user intact without distortion, and this is done by securing this data using encryption with its various techniques. There are many technologies that encrypt the data sent to the receiving party called encryption techniques. This research will examine the analysis of different encryption techniques, for example, symmetric cryptography technique and asymmetric cryptography techniques, Rivest Shamir and Adleman, Diffie-Hellman, Digital Signature Algorithm, (ECC) Elliptic curve cryptography, and how can employ them and explore the best methods of cryptography techniques that give complete confidential and transmitted data.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128349739","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 : 2020-12-04DOI: 10.1109/SMART50582.2020.9337156
Devanshu Tyagi, Soumi Ghosh, A. Rana, Vineet Kansal
A new technology that considerably provides help in case of application of distributed ledger system by use of decentralized transactional databases is introduced as Blockchain. The functions of Blockchain can be categorized into three phases: Firstly, it emphasizes on decentralization i.e. no centralized body can dictate on other blocks. Secondly, it emphasizes on transparency i.e. easy validated transactions take place through it permits verifiable transparency in case of each mechanism. Finally, it has an immutable feature which never permits tampering of database/data as any change in data may affect or agitate the entire data-chain. For the purpose of security, the immutable pillar is basically used in this technology. In Blockchain technology, generally the peer to peer network is applied that allows new block to join in the chain without affecting all other blocks in the system. It is a well accepted view or proposition that for obtaining block chain of a high quality some basic attributes like security, privacy, input, size and bandwidth, usability, performance, scalability and data integrity are highly essential. Block chain based applications across multiple domains or in other words across diverse sectors such as Medical care, Agriculture, Social medias, Banking sector, Education, Digital voting, Travelling, Crypto-currency, Information Technology and Data management along with the limitations of this technology-a-viz a systematic literature review of Blockchain enabled applications is altogether an interesting field of analysis as well as a predominant area of research for scholars and software industries.
{"title":"A Comparative Analysis of Potential Factors and Impacts that Affect Blockchain Technology in Software: Based Applications","authors":"Devanshu Tyagi, Soumi Ghosh, A. Rana, Vineet Kansal","doi":"10.1109/SMART50582.2020.9337156","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337156","url":null,"abstract":"A new technology that considerably provides help in case of application of distributed ledger system by use of decentralized transactional databases is introduced as Blockchain. The functions of Blockchain can be categorized into three phases: Firstly, it emphasizes on decentralization i.e. no centralized body can dictate on other blocks. Secondly, it emphasizes on transparency i.e. easy validated transactions take place through it permits verifiable transparency in case of each mechanism. Finally, it has an immutable feature which never permits tampering of database/data as any change in data may affect or agitate the entire data-chain. For the purpose of security, the immutable pillar is basically used in this technology. In Blockchain technology, generally the peer to peer network is applied that allows new block to join in the chain without affecting all other blocks in the system. It is a well accepted view or proposition that for obtaining block chain of a high quality some basic attributes like security, privacy, input, size and bandwidth, usability, performance, scalability and data integrity are highly essential. Block chain based applications across multiple domains or in other words across diverse sectors such as Medical care, Agriculture, Social medias, Banking sector, Education, Digital voting, Travelling, Crypto-currency, Information Technology and Data management along with the limitations of this technology-a-viz a systematic literature review of Blockchain enabled applications is altogether an interesting field of analysis as well as a predominant area of research for scholars and software industries.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"168 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127557881","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}
Image analysis using the Artificial Intelligence (AI) is now in trend. There are a lot of data in the image format. Using image analysis many useful information can be extracted. In this period where many people are having smart phones, they are clicking a lot of images. Sometimes they have forgot about the images. But when they want to access the image they have clicked few days before, then they have to search them manually. Search image manually is a very tedious task. Second there are different types of disease diagnostic tools produce medical images. In these images detecting a disease is required expert knowledge. And many times experts also can do a mistake. But in the artificial intelligence these problem could be rectified. Using Deep-Convolutional Neural Network(DCNN) of AI, enables the world of image analysis for us.
{"title":"The Survey of Digital Image Analysis with Artificial Intelligence- DCNN Technique","authors":"Ajay Rastogi, Ravendra Singh, Ranjana Sharma, Shanker Dutt Kalony","doi":"10.1109/SMART50582.2020.9337062","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337062","url":null,"abstract":"Image analysis using the Artificial Intelligence (AI) is now in trend. There are a lot of data in the image format. Using image analysis many useful information can be extracted. In this period where many people are having smart phones, they are clicking a lot of images. Sometimes they have forgot about the images. But when they want to access the image they have clicked few days before, then they have to search them manually. Search image manually is a very tedious task. Second there are different types of disease diagnostic tools produce medical images. In these images detecting a disease is required expert knowledge. And many times experts also can do a mistake. But in the artificial intelligence these problem could be rectified. Using Deep-Convolutional Neural Network(DCNN) of AI, enables the world of image analysis for us.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114839910","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 : 2020-12-04DOI: 10.1109/SMART50582.2020.9337151
N. Latha, R. K. Megalingam
Human action recognition is an active research topic in computer vision. It is a challenging task to model various actions, varying with time resolution, visual appearance and others. For each action category, a large collection of similar actions is learned. This requires training a neural network with a large number of videos. Each action is described as a set of similarities between its instances and candidate exemplars. Then the most discriminative video is chosen. The experiment results on a publicly available dataset known as the KTH dataset. The project is expected to separate the human from the background in the video and identify what action is performed by him/her.
{"title":"Exemplar-based Learning for Recognition & Annotation of Human Actions","authors":"N. Latha, R. K. Megalingam","doi":"10.1109/SMART50582.2020.9337151","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337151","url":null,"abstract":"Human action recognition is an active research topic in computer vision. It is a challenging task to model various actions, varying with time resolution, visual appearance and others. For each action category, a large collection of similar actions is learned. This requires training a neural network with a large number of videos. Each action is described as a set of similarities between its instances and candidate exemplars. Then the most discriminative video is chosen. The experiment results on a publicly available dataset known as the KTH dataset. The project is expected to separate the human from the background in the video and identify what action is performed by him/her.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125522973","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 : 2020-12-04DOI: 10.1109/SMART50582.2020.9337152
Sonal Garg, D. Sharma
Fake news is a fictitious article that is intentionally written to deceive people. So it is difficult to detect fake news based on the content of the news article. Online platforms publish these fabricated stories to make more money by enhancing the number of readerships. There is a need to detect fake news as early as possible. The lack of a standard dataset makes this task more challenging. So, In this paper, we proposed a new dataset that is scraped from Politifact websites. This dataset is larger in size in comparison to the existing datasets. We conducted extensive experiments by training state of the art machine learning and deep-learning algorithm. The results depict the effectiveness of our proposed dataset.
{"title":"New Politifact: A Dataset for Counterfeit News","authors":"Sonal Garg, D. Sharma","doi":"10.1109/SMART50582.2020.9337152","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337152","url":null,"abstract":"Fake news is a fictitious article that is intentionally written to deceive people. So it is difficult to detect fake news based on the content of the news article. Online platforms publish these fabricated stories to make more money by enhancing the number of readerships. There is a need to detect fake news as early as possible. The lack of a standard dataset makes this task more challenging. So, In this paper, we proposed a new dataset that is scraped from Politifact websites. This dataset is larger in size in comparison to the existing datasets. We conducted extensive experiments by training state of the art machine learning and deep-learning algorithm. The results depict the effectiveness of our proposed dataset.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130446034","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 : 2020-12-04DOI: 10.1109/SMART50582.2020.9337157
Dr. Manish Saraswat, Dr. R. C. Tripathi
The Cloud computing refers to manipulating, configuring and accessing the applications as utilities over the internet. It involves online data computation, storation, infrastructure and application, and hence it is highly essential to make a smart decision, when and how computing, storage and network resources be distributed and allocated to users to utilize, manage and consume them. In this paper first architecture of cloud computing, characteristics of service models and services provided by CSPs are discussed, than after analyzed growth rate and market share of top five CSPs in cloud service models, i.e Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS)
{"title":"Cloud Computing: Analysis of Top 5 CSPs in SaaS, PaaS and IaaS Platforms","authors":"Dr. Manish Saraswat, Dr. R. C. Tripathi","doi":"10.1109/SMART50582.2020.9337157","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337157","url":null,"abstract":"The Cloud computing refers to manipulating, configuring and accessing the applications as utilities over the internet. It involves online data computation, storation, infrastructure and application, and hence it is highly essential to make a smart decision, when and how computing, storage and network resources be distributed and allocated to users to utilize, manage and consume them. In this paper first architecture of cloud computing, characteristics of service models and services provided by CSPs are discussed, than after analyzed growth rate and market share of top five CSPs in cloud service models, i.e Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS)","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134034381","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 : 2020-12-04DOI: 10.1109/SMART50582.2020.9337106
Gaurav Kumar Rajput, Ashok Kumar, Shakti Kundu
With the rapid development of Internet and its usages, Sentiment analysis, the subsidiary of Natural Language processing has also grown. Through, it the implicit emotion in the text can be powerfully mined and this information can be used by organization or enterprises to take further decisions and the unpredictable growth of data indubitably brings more opportunities and challenges to sentiment analysis. Binary Classification Problem, Data sparsely problem, polarity shift, accuracy related issues are primary problems. Multiples algorithms which are based on many approaches used for sentiment analysis, still to get the sentiment features from the particular content of text is still difficult one. In this paper provides a deep imminent of different sentiment methodologies and approaches in a comprehensive way and provide a insight of future challenges in sentiment analysis.
{"title":"A Comparative Study on Sentiment Analysis Approaches and Methods","authors":"Gaurav Kumar Rajput, Ashok Kumar, Shakti Kundu","doi":"10.1109/SMART50582.2020.9337106","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337106","url":null,"abstract":"With the rapid development of Internet and its usages, Sentiment analysis, the subsidiary of Natural Language processing has also grown. Through, it the implicit emotion in the text can be powerfully mined and this information can be used by organization or enterprises to take further decisions and the unpredictable growth of data indubitably brings more opportunities and challenges to sentiment analysis. Binary Classification Problem, Data sparsely problem, polarity shift, accuracy related issues are primary problems. Multiples algorithms which are based on many approaches used for sentiment analysis, still to get the sentiment features from the particular content of text is still difficult one. In this paper provides a deep imminent of different sentiment methodologies and approaches in a comprehensive way and provide a insight of future challenges in sentiment analysis.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133717040","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 : 2020-12-04DOI: 10.1109/SMART50582.2020.9337150
Naman Mishra, Priyank Singhal, Shakti Kundu
The world is about to witness revolution in communication and technology after internet in the form of IoT and IoE. They will be used to create smart environments for people globally. IoT has become one of those things that has slowly made its way into almost all aspects of all sectors and made more suited for the changing world. Almost anything can be made better with the wonders of IoT and many a times at relatively lower prices. The use of IoT products will be of great advantage to boost the mission of setting up Smart Cities in India. The paper focuses on the aspects of applying IoT products for various smart solutions for setting up Smart Cities in India. Some of the domains have been discussed in the paper. Also, the projected solutions that can be implemented have been showcased. They key to set up Smart City successfully depends upon how the technology has been integrated to solve the complex problems being faced by the society at large.
{"title":"Application of IoT Products in Smart Cities of India","authors":"Naman Mishra, Priyank Singhal, Shakti Kundu","doi":"10.1109/SMART50582.2020.9337150","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337150","url":null,"abstract":"The world is about to witness revolution in communication and technology after internet in the form of IoT and IoE. They will be used to create smart environments for people globally. IoT has become one of those things that has slowly made its way into almost all aspects of all sectors and made more suited for the changing world. Almost anything can be made better with the wonders of IoT and many a times at relatively lower prices. The use of IoT products will be of great advantage to boost the mission of setting up Smart Cities in India. The paper focuses on the aspects of applying IoT products for various smart solutions for setting up Smart Cities in India. Some of the domains have been discussed in the paper. Also, the projected solutions that can be implemented have been showcased. They key to set up Smart City successfully depends upon how the technology has been integrated to solve the complex problems being faced by the society at large.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121990389","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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