Pub Date : 2019-01-01DOI: 10.1109/ICISC44355.2019.9036446
S. Bukkawar, Vasif Ahmed
MIMO antennas are playing crucial role in satisfying high demand of wide bandwidth, high channel capacity and high data rate in wireless communication. MIMO antennas are one of the best solution to solve the problem of multipath propagation. The level of performance of the MIMO antenna is very high and steep if represented graphically but due to the use of many antennas the issue of mutual coupling occurs which deteriorates the MIMO antenna's performance. Here, the various types of monopole, fractal and hybrid antennas which can be chosen to make a MIMO system are discussed.
{"title":"Study of Various Mutual Coupling Reduction Techniques in MIMO Antennas","authors":"S. Bukkawar, Vasif Ahmed","doi":"10.1109/ICISC44355.2019.9036446","DOIUrl":"https://doi.org/10.1109/ICISC44355.2019.9036446","url":null,"abstract":"MIMO antennas are playing crucial role in satisfying high demand of wide bandwidth, high channel capacity and high data rate in wireless communication. MIMO antennas are one of the best solution to solve the problem of multipath propagation. The level of performance of the MIMO antenna is very high and steep if represented graphically but due to the use of many antennas the issue of mutual coupling occurs which deteriorates the MIMO antenna's performance. Here, the various types of monopole, fractal and hybrid antennas which can be chosen to make a MIMO system are discussed.","PeriodicalId":419157,"journal":{"name":"2019 Third International Conference on Inventive Systems and Control (ICISC)","volume":"8 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131775537","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 : 2019-01-01DOI: 10.1109/ICISC44355.2019.9036354
Laya Harwin, S. P.
For any mobile device, the ability to navigate by its own in its environment is a very important requirement. Avoiding dangerous situations such as accidents and conditions that are not safe comes primarily and if the robot is designed to find certain places according to its application then the robot should find those places. Path planning is an important requirement for such mobile robots. For doing this the robots needs to be aware of their environment. This is possible only if robots are provided with information about the environment. In this paper, the different obstacle occurring cases are studied and simulated for SARSA and temporal difference algorithm for a 6×6 grid in MATLAB and it is found that the success rate of SARSA is much better than that of TD. It is proposed to implement the SARSA algorithm in iRobot with a mobile interface for interaction with the user.
{"title":"Comparison of SARSA algorithm and Temporal Difference Learning Algorithm for Robotic Path Planning for Static Obstacles","authors":"Laya Harwin, S. P.","doi":"10.1109/ICISC44355.2019.9036354","DOIUrl":"https://doi.org/10.1109/ICISC44355.2019.9036354","url":null,"abstract":"For any mobile device, the ability to navigate by its own in its environment is a very important requirement. Avoiding dangerous situations such as accidents and conditions that are not safe comes primarily and if the robot is designed to find certain places according to its application then the robot should find those places. Path planning is an important requirement for such mobile robots. For doing this the robots needs to be aware of their environment. This is possible only if robots are provided with information about the environment. In this paper, the different obstacle occurring cases are studied and simulated for SARSA and temporal difference algorithm for a 6×6 grid in MATLAB and it is found that the success rate of SARSA is much better than that of TD. It is proposed to implement the SARSA algorithm in iRobot with a mobile interface for interaction with the user.","PeriodicalId":419157,"journal":{"name":"2019 Third International Conference on Inventive Systems and Control (ICISC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123653061","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 : 2019-01-01DOI: 10.1109/ICISC44355.2019.9036388
D. S, P. Asha
Machine learning is the major aspect in artificial intelligence that empowers the development of the intelligent systems to have the capability of acquiring the knowledge through training. It eliminates the effort of the human and also avoids human errors in the upcoming era. The objective of the paper is to understand the different types and stages of diabetes mellitus. Also it provides the in depth knowledge of the machine learning techniques that supports to identify the neuropathy at its earlier stage. The various techniques involve Artificial Neural Network (ANN), Principle component, Genetic algorithms, Decision trees, Fuzzy logic have been discussed and compared. In the diabetic patients the nervous system is mainly affected and this leads to the amputation of the external body parts. This can be easily detected using the heart rate variability but not only is the HRV significant, galvanic skin response is also needed to predict the nervous system response. This paper presents the significance of HRV and GSR to track the blood glucose level and nervous response to experimentally identify the diabetes at the earlier stage.
{"title":"Earlier Diagnosis and Survey of Diabetes Mellitus Using Machine Learning Techniques","authors":"D. S, P. Asha","doi":"10.1109/ICISC44355.2019.9036388","DOIUrl":"https://doi.org/10.1109/ICISC44355.2019.9036388","url":null,"abstract":"Machine learning is the major aspect in artificial intelligence that empowers the development of the intelligent systems to have the capability of acquiring the knowledge through training. It eliminates the effort of the human and also avoids human errors in the upcoming era. The objective of the paper is to understand the different types and stages of diabetes mellitus. Also it provides the in depth knowledge of the machine learning techniques that supports to identify the neuropathy at its earlier stage. The various techniques involve Artificial Neural Network (ANN), Principle component, Genetic algorithms, Decision trees, Fuzzy logic have been discussed and compared. In the diabetic patients the nervous system is mainly affected and this leads to the amputation of the external body parts. This can be easily detected using the heart rate variability but not only is the HRV significant, galvanic skin response is also needed to predict the nervous system response. This paper presents the significance of HRV and GSR to track the blood glucose level and nervous response to experimentally identify the diabetes at the earlier stage.","PeriodicalId":419157,"journal":{"name":"2019 Third International Conference on Inventive Systems and Control (ICISC)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117026531","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 : 2019-01-01DOI: 10.1109/ICISC44355.2019.9036420
Kartik Sharma, Deepak Kumar, S. Khatri, S. Som
This research discovers and analyses various drugs (weed) associated tweets on twitter. In this regard, we have gathered 5000 drugs associated tweets throughout October 2018 in our research study. Our study related to texting top of algorithms and data analysis reveal some interesting models that add in users' attitude which would be distinguished by the subsistence of outer link in tweet. From the recent survey, it is evident that 72% people upload their text using their smart phones while other users operate via computers etc; people usually tweet on Saturday and Sunday in large number when compared with the weekdays.
{"title":"Data Mining Strategies for Drug Analysis on Twitter","authors":"Kartik Sharma, Deepak Kumar, S. Khatri, S. Som","doi":"10.1109/ICISC44355.2019.9036420","DOIUrl":"https://doi.org/10.1109/ICISC44355.2019.9036420","url":null,"abstract":"This research discovers and analyses various drugs (weed) associated tweets on twitter. In this regard, we have gathered 5000 drugs associated tweets throughout October 2018 in our research study. Our study related to texting top of algorithms and data analysis reveal some interesting models that add in users' attitude which would be distinguished by the subsistence of outer link in tweet. From the recent survey, it is evident that 72% people upload their text using their smart phones while other users operate via computers etc; people usually tweet on Saturday and Sunday in large number when compared with the weekdays.","PeriodicalId":419157,"journal":{"name":"2019 Third International Conference on Inventive Systems and Control (ICISC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128861967","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 : 2019-01-01DOI: 10.1109/ICISC44355.2019.9036406
Khalid Basir Ahmed, Deepak Kumar
Blockchain in today's world is digital ledger of transactions not only recording transaction but also recording everything that is of value, from the evolution of blockchain there have been dramatic changes in the financial sector and around the globe that how people carry out financial transactions, Blockchain is considerably new technology and has great potential for revolutionizing the whole global economy. In recent years Blockchain has been in the news because of bitcoin, the rise and fall of bitcoin, the market crash along with the regulations that Indian government are trying to implement to banned bitcoin in the country, this kind of steps is what becomes a hurdle for this interestingly advance technology to grow and make room for it's ability to power decentralized economy with this idea of decentralized economy government of various nations are scared that they will lose control of their economy but instead that government should have done is that they should study the implications of blockchain and benefits associated with it and how this can benefit to help eradicate corruptions and within the organization Blockchain has Proved to be Groundbreaking technology with its potential in the current, Blockchain is unique and has been implemented in many industries. Thus, blockchain use in banking will definitely result in a better banking system.
{"title":"Blockchain use Cases in Financial Services for Improving Security","authors":"Khalid Basir Ahmed, Deepak Kumar","doi":"10.1109/ICISC44355.2019.9036406","DOIUrl":"https://doi.org/10.1109/ICISC44355.2019.9036406","url":null,"abstract":"Blockchain in today's world is digital ledger of transactions not only recording transaction but also recording everything that is of value, from the evolution of blockchain there have been dramatic changes in the financial sector and around the globe that how people carry out financial transactions, Blockchain is considerably new technology and has great potential for revolutionizing the whole global economy. In recent years Blockchain has been in the news because of bitcoin, the rise and fall of bitcoin, the market crash along with the regulations that Indian government are trying to implement to banned bitcoin in the country, this kind of steps is what becomes a hurdle for this interestingly advance technology to grow and make room for it's ability to power decentralized economy with this idea of decentralized economy government of various nations are scared that they will lose control of their economy but instead that government should have done is that they should study the implications of blockchain and benefits associated with it and how this can benefit to help eradicate corruptions and within the organization Blockchain has Proved to be Groundbreaking technology with its potential in the current, Blockchain is unique and has been implemented in many industries. Thus, blockchain use in banking will definitely result in a better banking system.","PeriodicalId":419157,"journal":{"name":"2019 Third International Conference on Inventive Systems and Control (ICISC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126168347","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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