Pub Date : 2020-10-07DOI: 10.1109/I-SMAC49090.2020.9243387
Mohit Badve, Apoorva Chaudhari, Palak Davda, Vinal Bagaria, D. Kalbande
In today's world, one of the major environmental problems is the collection, management and disposal of the garbage. The current process of garbage collection does not consider real-time garbage level in dustbins while generating routes for garbage trucks. Collecting garbage in an unordered way leads to overfilling of bins, rotting garbage smell, more fuel consumption of trucks and hence has adverse effects on the environment. Moreover, the capacity of garbage trucks is not utilized. With the development of smart cities around the globe, there is an increasing need for IoT based technological solutions for solid waste management which will help in promoting a clean and sustainable environment. The proposed system gathers the real-time garbage level of every bin with the help of ultrasonic sensors. This data is then used to generate dynamic routes for garbage trucks while considering several factors like capacity of trucks and bins, the distance between bins, and the level of garbage.
{"title":"Garbage Collection System using IoT for Smart City","authors":"Mohit Badve, Apoorva Chaudhari, Palak Davda, Vinal Bagaria, D. Kalbande","doi":"10.1109/I-SMAC49090.2020.9243387","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243387","url":null,"abstract":"In today's world, one of the major environmental problems is the collection, management and disposal of the garbage. The current process of garbage collection does not consider real-time garbage level in dustbins while generating routes for garbage trucks. Collecting garbage in an unordered way leads to overfilling of bins, rotting garbage smell, more fuel consumption of trucks and hence has adverse effects on the environment. Moreover, the capacity of garbage trucks is not utilized. With the development of smart cities around the globe, there is an increasing need for IoT based technological solutions for solid waste management which will help in promoting a clean and sustainable environment. The proposed system gathers the real-time garbage level of every bin with the help of ultrasonic sensors. This data is then used to generate dynamic routes for garbage trucks while considering several factors like capacity of trucks and bins, the distance between bins, and the level of garbage.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115155951","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 : 2020-10-07DOI: 10.1109/I-SMAC49090.2020.9243333
L. Sherlin Pravina, S. Shunmugan
Noise removal is the vital need of every image processing tasks like segmentation, classification, object detection, etc. The SaP (Salt-and-Pepper) noise is projected by the highest and lowest intensity values. Many denoising methods are designed in the literature study to effectively remove the salt and pepper noise. This paper assesses image denoising to explore the positive and negative issues of eight benchmark methods. This work helps to the research people of image denoising for selecting the better method by considering various parameters.
{"title":"Survey on Image Denoising Methods","authors":"L. Sherlin Pravina, S. Shunmugan","doi":"10.1109/I-SMAC49090.2020.9243333","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243333","url":null,"abstract":"Noise removal is the vital need of every image processing tasks like segmentation, classification, object detection, etc. The SaP (Salt-and-Pepper) noise is projected by the highest and lowest intensity values. Many denoising methods are designed in the literature study to effectively remove the salt and pepper noise. This paper assesses image denoising to explore the positive and negative issues of eight benchmark methods. This work helps to the research people of image denoising for selecting the better method by considering various parameters.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116711460","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 : 2020-10-07DOI: 10.1109/I-SMAC49090.2020.9243438
Priyanka kumari Bhansali, Dilendra Hiran
Generally, the human body provides information about its health regularly. However, data is available throughout devices that measure or detect amounts and variations in particular areas of the body. To improve the health of patients, health professionals use the principles of medical decision-making in diagnosis and management. Globally, obesity and Cardio diseases impact the quality of life significantly, especially among the elderly. In addition to sensor design and IoT, the emerging technological revolution is expected to offer new applications in internal/external health monitoring that can make a significant contribution to human health and wellbeing. During this decade, technological advances have overgrown in many fields of research. IoT is a recent development that has significant impacts, including sports, education, business, and the environment, in all aspects of our lives. In healthcare, IoT has a great future in remote management of patients. The accuracy of early diagnosis and treatment is aimed to improve through the recognition of early diagnosis markers and the actual rate of screening. In a new sense, the progressive system of the heart, the modifications to diagnose it, and effective treatment to slow it down.
{"title":"IoT based Heart Rate Measurement and Analysis","authors":"Priyanka kumari Bhansali, Dilendra Hiran","doi":"10.1109/I-SMAC49090.2020.9243438","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243438","url":null,"abstract":"Generally, the human body provides information about its health regularly. However, data is available throughout devices that measure or detect amounts and variations in particular areas of the body. To improve the health of patients, health professionals use the principles of medical decision-making in diagnosis and management. Globally, obesity and Cardio diseases impact the quality of life significantly, especially among the elderly. In addition to sensor design and IoT, the emerging technological revolution is expected to offer new applications in internal/external health monitoring that can make a significant contribution to human health and wellbeing. During this decade, technological advances have overgrown in many fields of research. IoT is a recent development that has significant impacts, including sports, education, business, and the environment, in all aspects of our lives. In healthcare, IoT has a great future in remote management of patients. The accuracy of early diagnosis and treatment is aimed to improve through the recognition of early diagnosis markers and the actual rate of screening. In a new sense, the progressive system of the heart, the modifications to diagnose it, and effective treatment to slow it down.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126915773","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 : 2020-10-07DOI: 10.1109/I-SMAC49090.2020.9243370
P. Kanehanadevi, Laxmi Raja, D. Selvapandian, R. Dhanapal
Cloud computing is the flexible platform to outsource the data from local server to commercial cloud. However cloud provides tremendous benefits to user, data privacy and data leakage reduce the attention of cloud. For protecting data privacy and reduce data leakage various techniques has to be implemented in cloud. There are various types of cloud environment, but we concentrate on Hybrid cloud. Hybrid cloud is nothing but combination of more than two or more cloud. Where critical operations are performed in private cloud and non critical operations are performed in public cloud. So, it has numerous advantages and criticality too. In this paper, we focus on data security through encryption scheme over Hybrid Cloud. There are various encryption schemes are close to us but it also have data security issues. To overcome these issues, Attribute Based Encryption Scheme with Dynamic Attributes Supporting (ABE-DAS) has proposed. Attribute based Encryption Scheme with Dynamic Attributes Supporting technique enhance the security of the data in hybrid cloud.
{"title":"An Attribute Based Encryption Scheme with Dynamic Attributes Supporting in the Hybrid Cloud","authors":"P. Kanehanadevi, Laxmi Raja, D. Selvapandian, R. Dhanapal","doi":"10.1109/I-SMAC49090.2020.9243370","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243370","url":null,"abstract":"Cloud computing is the flexible platform to outsource the data from local server to commercial cloud. However cloud provides tremendous benefits to user, data privacy and data leakage reduce the attention of cloud. For protecting data privacy and reduce data leakage various techniques has to be implemented in cloud. There are various types of cloud environment, but we concentrate on Hybrid cloud. Hybrid cloud is nothing but combination of more than two or more cloud. Where critical operations are performed in private cloud and non critical operations are performed in public cloud. So, it has numerous advantages and criticality too. In this paper, we focus on data security through encryption scheme over Hybrid Cloud. There are various encryption schemes are close to us but it also have data security issues. To overcome these issues, Attribute Based Encryption Scheme with Dynamic Attributes Supporting (ABE-DAS) has proposed. Attribute based Encryption Scheme with Dynamic Attributes Supporting technique enhance the security of the data in hybrid cloud.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"267 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116080222","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 : 2020-10-07DOI: 10.1109/I-SMAC49090.2020.9243610
Hritvik Gupta, Mayank Patel
In recent times, data excessiveness has become a major problem in the field of education, news, blogs, social media, etc. Due to an increase in such a vast amount of text data, it became challenging for a human to extract only the valuable amount of data in a concise form. In other words, summarizing the text, enables human to retrieves the relevant and useful texts, Text summarizing is extracting the data from the document and generating the short or concise text of the document. One of the major approaches that are used widely is Automatic Text summarizer. Automatic text summarizer analyzes the large textual data and summarizes it into the short summaries containing valuable information of the data. Automatic text summarizer further divided into two types 1) Extractive text summarizer, 2) Abstractive Text summarizer. In this article, the extractive text summarizer approach is being looked for. Extractive text summarization is the approach in which model generates the concise summary of the text by picking up the most relevant sentences from the text document. This paper focuses on retrieving the valuable amount of data using the Elmo embedding in Extractive text summarization. Elmo embedding is a contextual embedding that had been used previously by many researchers in abstractive text summarization techniques, but this paper focus on using it in extractive text summarizer.
{"title":"Study of Extractive Text Summarizer Using The Elmo Embedding","authors":"Hritvik Gupta, Mayank Patel","doi":"10.1109/I-SMAC49090.2020.9243610","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243610","url":null,"abstract":"In recent times, data excessiveness has become a major problem in the field of education, news, blogs, social media, etc. Due to an increase in such a vast amount of text data, it became challenging for a human to extract only the valuable amount of data in a concise form. In other words, summarizing the text, enables human to retrieves the relevant and useful texts, Text summarizing is extracting the data from the document and generating the short or concise text of the document. One of the major approaches that are used widely is Automatic Text summarizer. Automatic text summarizer analyzes the large textual data and summarizes it into the short summaries containing valuable information of the data. Automatic text summarizer further divided into two types 1) Extractive text summarizer, 2) Abstractive Text summarizer. In this article, the extractive text summarizer approach is being looked for. Extractive text summarization is the approach in which model generates the concise summary of the text by picking up the most relevant sentences from the text document. This paper focuses on retrieving the valuable amount of data using the Elmo embedding in Extractive text summarization. Elmo embedding is a contextual embedding that had been used previously by many researchers in abstractive text summarization techniques, but this paper focus on using it in extractive text summarizer.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114157095","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 : 2020-10-07DOI: 10.1109/I-SMAC49090.2020.9243302
Sayan Nath, Purbasha Bose, Avijit Mondal, A. Das
In cloud computing, the allocation of resources is a foremost alarm. As the cloud is heterogeneous, so many parameters can injure the virtual machine like cost, consumption of time, quality of services etc. When a huge request comes, the grouping of a virtual machine is important to execute the job. In our work, different resource allocation strategies have been discussed and their comparison with optimal cost. How the physical mapping of resources is completed over virtual resources is also considered. This work also depicts the different challenges involved in modern-day cloud computing.
{"title":"Cloud Allocation Technique: A Comparative Study","authors":"Sayan Nath, Purbasha Bose, Avijit Mondal, A. Das","doi":"10.1109/I-SMAC49090.2020.9243302","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243302","url":null,"abstract":"In cloud computing, the allocation of resources is a foremost alarm. As the cloud is heterogeneous, so many parameters can injure the virtual machine like cost, consumption of time, quality of services etc. When a huge request comes, the grouping of a virtual machine is important to execute the job. In our work, different resource allocation strategies have been discussed and their comparison with optimal cost. How the physical mapping of resources is completed over virtual resources is also considered. This work also depicts the different challenges involved in modern-day cloud computing.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116880573","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 : 2020-10-07DOI: 10.1109/I-SMAC49090.2020.9243417
B. Supritha, Kiran Mannem, B. Reddy, K. Jamal, Manchalla. O. V. P. Kumar
Nowadays most progressive networks are organised through Boolean Implementation. Boolean Implementation helps in diminishing warmth dissipating, providing for almost essentialness free figuring, resulting in enhanced device sizes as well as engaging efficient evaluation of lacks. A modified structure for an 8-bit Arithmetic logic unit with modified Booth Multiplier is presented in this work. The 16-bit logic is arranged through a falling 1-bit arithmetic logic. The imperative modules of a 1-bit ALU are the module of power and the module of addition. This ALU arrangement has decreased door check and semiconductor count. Using a modified booth multiplier the arithmetic logic unit is implanted in this paper. The modified booth encoding method reduces the delay there by improving the speed of the overall device.
{"title":"High speed and efficient ALU using modified booth multiplier","authors":"B. Supritha, Kiran Mannem, B. Reddy, K. Jamal, Manchalla. O. V. P. Kumar","doi":"10.1109/I-SMAC49090.2020.9243417","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243417","url":null,"abstract":"Nowadays most progressive networks are organised through Boolean Implementation. Boolean Implementation helps in diminishing warmth dissipating, providing for almost essentialness free figuring, resulting in enhanced device sizes as well as engaging efficient evaluation of lacks. A modified structure for an 8-bit Arithmetic logic unit with modified Booth Multiplier is presented in this work. The 16-bit logic is arranged through a falling 1-bit arithmetic logic. The imperative modules of a 1-bit ALU are the module of power and the module of addition. This ALU arrangement has decreased door check and semiconductor count. Using a modified booth multiplier the arithmetic logic unit is implanted in this paper. The modified booth encoding method reduces the delay there by improving the speed of the overall device.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130558295","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 : 2020-10-07DOI: 10.1109/I-SMAC49090.2020.9243462
Cecil C Nachiar, N. Ambika, R. Moulika, R. Poovendran
The present struggle with COVID 19 pandemic has necessitated strategic response in healthcare systems to decrease mortalities even with poor lab infrastructure. With improved disease surveillance, any country can handle health emergencies in a better manner. Combining wearable device technology with smartphone, self-testing can be improved and real time monitoring of various parameters such as temperature, oxygen levels and pulse rate reducing burden on healthcare and creating a vigilant environment. This also help us in contract tracing and also reduce death out of comorbities which has caused a heavy death toll out of pandemic. Here, the components of daily use are deployed with slight modification for creating real time monitoring along with auto alarm and warning transmission to local health ministry. Data collected from sensors are stored in Arduino memory and transmitted to smartphone through Wi-Fi module. Our proposed system is used to process, analyse and display patient's collected data with auto alarm. Our proposed system has been very reliable with average delay of 14s and low power consumption with standing time of nearly 4 hr.
{"title":"Design of Cost-effective Wearable Sensors with integrated Health Monitoring System","authors":"Cecil C Nachiar, N. Ambika, R. Moulika, R. Poovendran","doi":"10.1109/I-SMAC49090.2020.9243462","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243462","url":null,"abstract":"The present struggle with COVID 19 pandemic has necessitated strategic response in healthcare systems to decrease mortalities even with poor lab infrastructure. With improved disease surveillance, any country can handle health emergencies in a better manner. Combining wearable device technology with smartphone, self-testing can be improved and real time monitoring of various parameters such as temperature, oxygen levels and pulse rate reducing burden on healthcare and creating a vigilant environment. This also help us in contract tracing and also reduce death out of comorbities which has caused a heavy death toll out of pandemic. Here, the components of daily use are deployed with slight modification for creating real time monitoring along with auto alarm and warning transmission to local health ministry. Data collected from sensors are stored in Arduino memory and transmitted to smartphone through Wi-Fi module. Our proposed system is used to process, analyse and display patient's collected data with auto alarm. Our proposed system has been very reliable with average delay of 14s and low power consumption with standing time of nearly 4 hr.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"192 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114191898","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 : 2020-10-07DOI: 10.1109/I-SMAC49090.2020.9243439
Dasharath.K. Bhadangkar, J. Pujari, Rajesh Yakkundimath
Intelligent systems use real-time emotion recognition for interacting with humans in a better way to dynamically adapt their responses based on user emotions. Emotion detection is a combination of facial expression, gestures and speech features. With proper emotion detection using facial features, the mental health of subjects could be monitored and improved, thus preventing unruly actions. Machine learning techniques applied for feature extraction and classification would perform emotion detection based only on facial expression. In this work accuracy of up to 0.9042 was achieved using a combination of Latent Dirichlet Allocation (LDA) + Support Vector Machines (SVM).
{"title":"Comparison of Tuplet of Techniques for Facial Emotion Detection","authors":"Dasharath.K. Bhadangkar, J. Pujari, Rajesh Yakkundimath","doi":"10.1109/I-SMAC49090.2020.9243439","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243439","url":null,"abstract":"Intelligent systems use real-time emotion recognition for interacting with humans in a better way to dynamically adapt their responses based on user emotions. Emotion detection is a combination of facial expression, gestures and speech features. With proper emotion detection using facial features, the mental health of subjects could be monitored and improved, thus preventing unruly actions. Machine learning techniques applied for feature extraction and classification would perform emotion detection based only on facial expression. In this work accuracy of up to 0.9042 was achieved using a combination of Latent Dirichlet Allocation (LDA) + Support Vector Machines (SVM).","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114220396","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 : 2020-10-07DOI: 10.1109/I-SMAC49090.2020.9243529
B. Kumar, T. Mohanraj, S. ShahulHammed, R. Santhosh
The demand and encouragement to use digital platforms in various technologies like big data and Machine Learning has proved to be efficient in various applicable areas and industries. Blockchain (BC) technology has been started by S antoshi Nakamoto in the year 2008; this was developed in a sole purpose to serve crypto currency bit-coin. The BC cannot be compared to any existing system or platform. BC can be used in a place where both end users, which creates trust between them. BC has gained its popularity in the area of decentralized approaches to create management value. Many Governmental sectors and nongovernmental sector has introduced the concept of BC because of it advantages provided by the technology, it provides some of the important services like security, scalability and improvement in efficiency. The major advantage of BC is tracking of error because of block nature of the application. The BC has slowly induced into various sectors, thus by providing the ease of work in day to day life. This technology is very useful in a country like India, because people here urge for new techniques, and there is a possibility that many industry adopt this technique to reach their heights in their domains. In this survey paper we discuss in detail the impact of BC in various applicable areas.
{"title":"A Study of BlockChain Technologies and health Care Systems","authors":"B. Kumar, T. Mohanraj, S. ShahulHammed, R. Santhosh","doi":"10.1109/I-SMAC49090.2020.9243529","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243529","url":null,"abstract":"The demand and encouragement to use digital platforms in various technologies like big data and Machine Learning has proved to be efficient in various applicable areas and industries. Blockchain (BC) technology has been started by S antoshi Nakamoto in the year 2008; this was developed in a sole purpose to serve crypto currency bit-coin. The BC cannot be compared to any existing system or platform. BC can be used in a place where both end users, which creates trust between them. BC has gained its popularity in the area of decentralized approaches to create management value. Many Governmental sectors and nongovernmental sector has introduced the concept of BC because of it advantages provided by the technology, it provides some of the important services like security, scalability and improvement in efficiency. The major advantage of BC is tracking of error because of block nature of the application. The BC has slowly induced into various sectors, thus by providing the ease of work in day to day life. This technology is very useful in a country like India, because people here urge for new techniques, and there is a possibility that many industry adopt this technique to reach their heights in their domains. In this survey paper we discuss in detail the impact of BC in various applicable areas.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116157526","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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