Pub Date : 2017-11-01DOI: 10.1109/CSNT.2017.8418546
Dheeresh Soni, M. Kumar
The use of cloud computing platform is growing now days. It is used in all the area of Education, Business, Web Domain and Data Servers. The developing interest is a direct result of the on interest of pay per premise. In any case, the uses upgrade the danger of information catching and phony. As the administrations are sharing inside diverse cloud clients and the availability are likewise distinctive. So security is a noteworthy concern now days. The objective of this paper is to establish a way for the future enhancements based on the previous research. Our paper also analyzed the trends and the characteristics. The gaps with the future suggestions are highlighted.
{"title":"Secure data communication in client-cloud environment: A survey","authors":"Dheeresh Soni, M. Kumar","doi":"10.1109/CSNT.2017.8418546","DOIUrl":"https://doi.org/10.1109/CSNT.2017.8418546","url":null,"abstract":"The use of cloud computing platform is growing now days. It is used in all the area of Education, Business, Web Domain and Data Servers. The developing interest is a direct result of the on interest of pay per premise. In any case, the uses upgrade the danger of information catching and phony. As the administrations are sharing inside diverse cloud clients and the availability are likewise distinctive. So security is a noteworthy concern now days. The objective of this paper is to establish a way for the future enhancements based on the previous research. Our paper also analyzed the trends and the characteristics. The gaps with the future suggestions are highlighted.","PeriodicalId":382417,"journal":{"name":"2017 7th International Conference on Communication Systems and Network Technologies (CSNT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131160351","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 : 2017-11-01DOI: 10.1109/CSNT.2017.8418547
Anuradha Singh
One of the most challenging tasks in real life is to find the multiple zeros of nonlinear equations. It is also known that the iterative methods are highly sensitive towards initial guesses. So, the choice of initial guess is also a difficult task with iterative methods. Various researchers have established the generalized form of iterative methods for finding the multiple roots. The prime focus of this study is to extend existing fourth order method from simple roots to multiple roots because some of the available methods for findings multiple root are fails or do not perform well for some nonlinear functions.
{"title":"An efficient iterative scheme for computing multiple roots of nonlinear equations","authors":"Anuradha Singh","doi":"10.1109/CSNT.2017.8418547","DOIUrl":"https://doi.org/10.1109/CSNT.2017.8418547","url":null,"abstract":"One of the most challenging tasks in real life is to find the multiple zeros of nonlinear equations. It is also known that the iterative methods are highly sensitive towards initial guesses. So, the choice of initial guess is also a difficult task with iterative methods. Various researchers have established the generalized form of iterative methods for finding the multiple roots. The prime focus of this study is to extend existing fourth order method from simple roots to multiple roots because some of the available methods for findings multiple root are fails or do not perform well for some nonlinear functions.","PeriodicalId":382417,"journal":{"name":"2017 7th International Conference on Communication Systems and Network Technologies (CSNT)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116247488","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 : 2017-11-01DOI: 10.1109/CSNT.2017.8418569
Ariruna Dasgupta, Dibyabiva Seth, Anindita Ghosh, A. Nath
This paper discusses the design and prototype implementation of a Sign Language to Braille Converter as well as an English Language to Braille Converter. This prototype can convert any sign language to the corresponding Braille system. For simplicity, the finger-spelling component of the ASL (American Sign Language) was chosen. The paper proposes a simple and affordable device that incorporates a software interface to convert ASL to braille along with a dedicated hardware component to produce the Braille output. The device was experimentally verified to be giving accurate outputs.
{"title":"Real time sign language to Braille interfacing system","authors":"Ariruna Dasgupta, Dibyabiva Seth, Anindita Ghosh, A. Nath","doi":"10.1109/CSNT.2017.8418569","DOIUrl":"https://doi.org/10.1109/CSNT.2017.8418569","url":null,"abstract":"This paper discusses the design and prototype implementation of a Sign Language to Braille Converter as well as an English Language to Braille Converter. This prototype can convert any sign language to the corresponding Braille system. For simplicity, the finger-spelling component of the ASL (American Sign Language) was chosen. The paper proposes a simple and affordable device that incorporates a software interface to convert ASL to braille along with a dedicated hardware component to produce the Braille output. The device was experimentally verified to be giving accurate outputs.","PeriodicalId":382417,"journal":{"name":"2017 7th International Conference on Communication Systems and Network Technologies (CSNT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125658435","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 : 2017-11-01DOI: 10.1109/CSNT.2017.8418527
B. Nandwana, S. Tazi, Sheifalee Trivedi, D. Kumar, S. Vipparthi
Hand gesture recognition system has a good attention now days because of easy interaction between human and machine. The focus of developing hand gesture is to create a better communication between human and computer for conveying information. This paper presents a survey on recent technology of hand gesture recognition both static and dynamic. It shows all method that was used for hand gesture recognition in different research paper.
{"title":"A survey paper on hand gesture recognition","authors":"B. Nandwana, S. Tazi, Sheifalee Trivedi, D. Kumar, S. Vipparthi","doi":"10.1109/CSNT.2017.8418527","DOIUrl":"https://doi.org/10.1109/CSNT.2017.8418527","url":null,"abstract":"Hand gesture recognition system has a good attention now days because of easy interaction between human and machine. The focus of developing hand gesture is to create a better communication between human and computer for conveying information. This paper presents a survey on recent technology of hand gesture recognition both static and dynamic. It shows all method that was used for hand gesture recognition in different research paper.","PeriodicalId":382417,"journal":{"name":"2017 7th International Conference on Communication Systems and Network Technologies (CSNT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130455216","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 : 2017-11-01DOI: 10.1109/CSNT.2017.8418517
J. Grover, Ashish Jain, N. Chaudhari
One of the vital application of Emergency Ad hoc Networks is to establish communication between those affected by emergency situation and responders providing services. In most such cases, the conventional communication infrastructure such as wired and cellular networks get damaged and therefore cannot provide communication required to exchange emergency information. Therefore, to cope with such disasters in a fast and coordinated way, the optimal provisioning of the emergency information is crucial. Unmanned Aerial Vehicles (UAV) are the paramount components for such situations. UAVs can act as mobile base stations and facilitate wireless communication to connect to nearest working telephone network access point. A large scale disaster information system can be formed by combining UAV network with existing available network regardless of some of network lines being damaged and destroyed. In this paper, we have designed a prototype of UAV assisted emergency ad hoc network (EANET). We have also evaluated and compared AODV and ZRP routing protocols by varying the number of UAV assisted EANET nodes in different transmission range cases of disaster scenarios. The experimental results illustrate that ZRP is the most appropriate protocol for emergency situations.
{"title":"Unmanned aerial vehicles operated emergency ad hoc networks","authors":"J. Grover, Ashish Jain, N. Chaudhari","doi":"10.1109/CSNT.2017.8418517","DOIUrl":"https://doi.org/10.1109/CSNT.2017.8418517","url":null,"abstract":"One of the vital application of Emergency Ad hoc Networks is to establish communication between those affected by emergency situation and responders providing services. In most such cases, the conventional communication infrastructure such as wired and cellular networks get damaged and therefore cannot provide communication required to exchange emergency information. Therefore, to cope with such disasters in a fast and coordinated way, the optimal provisioning of the emergency information is crucial. Unmanned Aerial Vehicles (UAV) are the paramount components for such situations. UAVs can act as mobile base stations and facilitate wireless communication to connect to nearest working telephone network access point. A large scale disaster information system can be formed by combining UAV network with existing available network regardless of some of network lines being damaged and destroyed. In this paper, we have designed a prototype of UAV assisted emergency ad hoc network (EANET). We have also evaluated and compared AODV and ZRP routing protocols by varying the number of UAV assisted EANET nodes in different transmission range cases of disaster scenarios. The experimental results illustrate that ZRP is the most appropriate protocol for emergency situations.","PeriodicalId":382417,"journal":{"name":"2017 7th International Conference on Communication Systems and Network Technologies (CSNT)","volume":"65 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121112764","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 : 2017-11-01DOI: 10.1109/CSNT.2017.8418554
S. Shivashankara, S. Srinath
American Sign Language Recognition (ASLR) system is a process where the computer understands the gestures of American Sign Language (ASL) automatically and converts them into their equivalent human / machine readable text. Several researchers have presented various vision based techniques to recognize static and dynamic gesture recognition of ASL. In this paper an effort has been made to highlight the various works and a comparative study of those works carried out by the researchers in recognizing ASL.
{"title":"A review on vision based American sign language recognition, its techniques, and outcomes","authors":"S. Shivashankara, S. Srinath","doi":"10.1109/CSNT.2017.8418554","DOIUrl":"https://doi.org/10.1109/CSNT.2017.8418554","url":null,"abstract":"American Sign Language Recognition (ASLR) system is a process where the computer understands the gestures of American Sign Language (ASL) automatically and converts them into their equivalent human / machine readable text. Several researchers have presented various vision based techniques to recognize static and dynamic gesture recognition of ASL. In this paper an effort has been made to highlight the various works and a comparative study of those works carried out by the researchers in recognizing ASL.","PeriodicalId":382417,"journal":{"name":"2017 7th International Conference on Communication Systems and Network Technologies (CSNT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115019504","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 : 2017-11-01DOI: 10.1109/CSNT.2017.8418510
B. Nithya, N. Sivakumar, Arvindmani Satyanarayan
In the IEEE 802.11 based wireless networks, an adjustment of the Contention Window (CW) is indispensable in order to provide a differentiated quality of service. Distributed Coordination Function (DCF) is a contention-based MAC method which allows to mutually share the common wireless channel. DCF backoff algorithm regulates the size of CW range upon successful transmissions and collisions. Due to wireless medium characteristics and node mobility, estimating pertinent CW range is a very crucial task. This paper proposes Sliding DCF Backoff Algorithm (SDBA) that predicts current medium status using Backoff Success Ratio (BSR). According to this, SDBA slides both CW lower and upper boundaries. To investigate the behavior and capability of the proposed SDBA, extensive NS2 simulations are carried out with varying mobility speed under random topology. It is perceived from the simulation results that the proposed algorithm attains better throughput and significantly reduces collisions, routing control overhead and energy consumption, thereby extending network lifetime.
{"title":"Collision mitigating sliding DCF backoff algorithm (SDBA) for multi-hop wireless networks","authors":"B. Nithya, N. Sivakumar, Arvindmani Satyanarayan","doi":"10.1109/CSNT.2017.8418510","DOIUrl":"https://doi.org/10.1109/CSNT.2017.8418510","url":null,"abstract":"In the IEEE 802.11 based wireless networks, an adjustment of the Contention Window (CW) is indispensable in order to provide a differentiated quality of service. Distributed Coordination Function (DCF) is a contention-based MAC method which allows to mutually share the common wireless channel. DCF backoff algorithm regulates the size of CW range upon successful transmissions and collisions. Due to wireless medium characteristics and node mobility, estimating pertinent CW range is a very crucial task. This paper proposes Sliding DCF Backoff Algorithm (SDBA) that predicts current medium status using Backoff Success Ratio (BSR). According to this, SDBA slides both CW lower and upper boundaries. To investigate the behavior and capability of the proposed SDBA, extensive NS2 simulations are carried out with varying mobility speed under random topology. It is perceived from the simulation results that the proposed algorithm attains better throughput and significantly reduces collisions, routing control overhead and energy consumption, thereby extending network lifetime.","PeriodicalId":382417,"journal":{"name":"2017 7th International Conference on Communication Systems and Network Technologies (CSNT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116487155","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 : 2017-11-01DOI: 10.1109/CSNT.2017.8418529
Aparna Rajawat, M. Pandey
Recognition of faces for human is always a challenging task due to the absence of sufficientfeatures. To solve this problem we propose a novel and efficient face recognition method which is invariant to slight variation in pose, illumination and background. Proposed method uses discrete cosine transform (DCT) and gray-level co-occurrence matrix (GLCM) for the extraction of both visual features and texture features respectively. The Proposed method helps in removing some high frequency details and thus reduce the size of images. These visual features and texture features are fused to form the hybrid feature leading to improve the feature space and nearest neighbor classifier is used for the classification purpose. The proposed method shows better result on variation of background and pose and it also reduces recognition time greatly. This method improves the efficiency and performance of existing method.
{"title":"Efficient feature extraction using hybrid face recognition method","authors":"Aparna Rajawat, M. Pandey","doi":"10.1109/CSNT.2017.8418529","DOIUrl":"https://doi.org/10.1109/CSNT.2017.8418529","url":null,"abstract":"Recognition of faces for human is always a challenging task due to the absence of sufficientfeatures. To solve this problem we propose a novel and efficient face recognition method which is invariant to slight variation in pose, illumination and background. Proposed method uses discrete cosine transform (DCT) and gray-level co-occurrence matrix (GLCM) for the extraction of both visual features and texture features respectively. The Proposed method helps in removing some high frequency details and thus reduce the size of images. These visual features and texture features are fused to form the hybrid feature leading to improve the feature space and nearest neighbor classifier is used for the classification purpose. The proposed method shows better result on variation of background and pose and it also reduces recognition time greatly. This method improves the efficiency and performance of existing method.","PeriodicalId":382417,"journal":{"name":"2017 7th International Conference on Communication Systems and Network Technologies (CSNT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133647651","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 : 2017-11-01DOI: 10.1109/CSNT.2017.8418563
Debojyoti Seth, Nilanjan Biswas, D. Ghosh
Big data analytics enhance modern healthcare by providing personalized medicine based on predictive prescriptions. A model of three layered data sharing for Big Heart Data is developed which uncovers the scope of cardiac remodelling. Remodelling helps in predicting status of heart health informatics based on existing database and prioritizing patient's recent-past cardiac activities. The concept was found to indicate early stages of heart failure leaving ample time to protect the patient from an acute cardiac arrest. A comparative analysis of Activation States and Rest-Task Pair Connectivity of brain is also conducted. Experimental explanations are also provided by recognition process and it opened the scope of not only detecting but also curing dementia by Body Sensor Networking (BSN). BSN can also aid rural cardiac treatments. Big Health Data leads to explore a new era of remotely testing, diagnosing and even curing particular diseases at an early stage without complex medications.
{"title":"Big health data: Cardiac remodelling and functional interactions of big brain based implications in body sensor networks","authors":"Debojyoti Seth, Nilanjan Biswas, D. Ghosh","doi":"10.1109/CSNT.2017.8418563","DOIUrl":"https://doi.org/10.1109/CSNT.2017.8418563","url":null,"abstract":"Big data analytics enhance modern healthcare by providing personalized medicine based on predictive prescriptions. A model of three layered data sharing for Big Heart Data is developed which uncovers the scope of cardiac remodelling. Remodelling helps in predicting status of heart health informatics based on existing database and prioritizing patient's recent-past cardiac activities. The concept was found to indicate early stages of heart failure leaving ample time to protect the patient from an acute cardiac arrest. A comparative analysis of Activation States and Rest-Task Pair Connectivity of brain is also conducted. Experimental explanations are also provided by recognition process and it opened the scope of not only detecting but also curing dementia by Body Sensor Networking (BSN). BSN can also aid rural cardiac treatments. Big Health Data leads to explore a new era of remotely testing, diagnosing and even curing particular diseases at an early stage without complex medications.","PeriodicalId":382417,"journal":{"name":"2017 7th International Conference on Communication Systems and Network Technologies (CSNT)","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133528756","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 : 2017-11-01DOI: 10.1109/CSNT.2017.8418548
Agrata Shukla, Vijay Bhandari, Amit Shrivastava
Data streams are the sequence of data packets for communication. The properties of the target variable that is trying to predict, changes at the occurrence of concept drift. So, The observations become less accurate as the time passes. When the speed of concept drift is very fast, In terms of milliseconds, the accuracy of predictions is very difficult to handle. So to solve the problem the new stay one forget multiple extreme learning machine with deep network using time interval process is proposed.
{"title":"Stay one forget multiple extreme learning machine with deep network using time interval process: A review","authors":"Agrata Shukla, Vijay Bhandari, Amit Shrivastava","doi":"10.1109/CSNT.2017.8418548","DOIUrl":"https://doi.org/10.1109/CSNT.2017.8418548","url":null,"abstract":"Data streams are the sequence of data packets for communication. The properties of the target variable that is trying to predict, changes at the occurrence of concept drift. So, The observations become less accurate as the time passes. When the speed of concept drift is very fast, In terms of milliseconds, the accuracy of predictions is very difficult to handle. So to solve the problem the new stay one forget multiple extreme learning machine with deep network using time interval process is proposed.","PeriodicalId":382417,"journal":{"name":"2017 7th International Conference on Communication Systems and Network Technologies (CSNT)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116114775","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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