Pub Date : 2017-11-01DOI: 10.1109/ICRCICN.2017.8234490
Prasanta Kumar Roy, Krittibas Parai, Sathi Ball, B. Kumar
Recently, several protocols have been proposed to accomplish user authenticity with proper session key establishment in Global Mobility Network. Unfortunately, some of them still suffer from various security threats and high computational complexity. This article demonstrates a new enhanced two-factor authentication scheme for secure anonymous communication to mutually authenticate the communicating parties and to establish a proper session key between them. The major contributions of this article are 1) to achieve all kind of security goals and 2) to effectively reduce the computational complexity. The underlying construction is developed using Elliptic Curve Cryptography (ECC) along with light-weight processes to ensure the resistibility against well-known security threats and improved computational complexity. The protocol is implemented using HLPSL and formally validated using AVISPA to ensure that it has the ability to withstand several attacks. We have also compared the computational complexity of our protocol with some existing protocols to prove its efficiency.
{"title":"A new enhanced secure anonymous communication with authentication and session key agreement in global mobility network","authors":"Prasanta Kumar Roy, Krittibas Parai, Sathi Ball, B. Kumar","doi":"10.1109/ICRCICN.2017.8234490","DOIUrl":"https://doi.org/10.1109/ICRCICN.2017.8234490","url":null,"abstract":"Recently, several protocols have been proposed to accomplish user authenticity with proper session key establishment in Global Mobility Network. Unfortunately, some of them still suffer from various security threats and high computational complexity. This article demonstrates a new enhanced two-factor authentication scheme for secure anonymous communication to mutually authenticate the communicating parties and to establish a proper session key between them. The major contributions of this article are 1) to achieve all kind of security goals and 2) to effectively reduce the computational complexity. The underlying construction is developed using Elliptic Curve Cryptography (ECC) along with light-weight processes to ensure the resistibility against well-known security threats and improved computational complexity. The protocol is implemented using HLPSL and formally validated using AVISPA to ensure that it has the ability to withstand several attacks. We have also compared the computational complexity of our protocol with some existing protocols to prove its efficiency.","PeriodicalId":166298,"journal":{"name":"2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","volume":"42 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":"116243035","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/ICRCICN.2017.8234477
Lidia Ghosh, Sricheta Parui, P. Rakshit, A. Konar
The paper proposes a new approach to mode human working memory using EEG-induced fuzzy associativi memory and attempts to recover the encoded memor information from partially supplied instances during memor recall tasks. Experiments are performed to obtain EEG feature from the temporal lobe, representing working memory input an(pre-frontal lobe, representing the working memory outpu during memory encoding process of unknown peoples' face. Thi fuzzy associative memory is built up with these input-outpu features of the working memory, acquired for multiple instances During the recall cycle, we use a notion of fuzzy inversi formulation to recall the input EEG instances from the supplie output instances of the working memory using fuzzy associativ memory, when the subject is asked to remember the original faci from its part, and to our great surprise the model produced inpu instances match with actual brain-generated input instances wit small error. This signifies the importance of the propose(working memory model and inverse formulation in memor retrieval process. Experiments undertaken reveal that the erro metric could successfully be used to diagnose two peopl suffering from Parkinson and three from the early Alzheimer' diseases among a total population of 50 healthy plus 5 brain diseased people.
{"title":"EEG analysis for working memory modeling in face recognition task","authors":"Lidia Ghosh, Sricheta Parui, P. Rakshit, A. Konar","doi":"10.1109/ICRCICN.2017.8234477","DOIUrl":"https://doi.org/10.1109/ICRCICN.2017.8234477","url":null,"abstract":"The paper proposes a new approach to mode human working memory using EEG-induced fuzzy associativi memory and attempts to recover the encoded memor information from partially supplied instances during memor recall tasks. Experiments are performed to obtain EEG feature from the temporal lobe, representing working memory input an(pre-frontal lobe, representing the working memory outpu during memory encoding process of unknown peoples' face. Thi fuzzy associative memory is built up with these input-outpu features of the working memory, acquired for multiple instances During the recall cycle, we use a notion of fuzzy inversi formulation to recall the input EEG instances from the supplie output instances of the working memory using fuzzy associativ memory, when the subject is asked to remember the original faci from its part, and to our great surprise the model produced inpu instances match with actual brain-generated input instances wit small error. This signifies the importance of the propose(working memory model and inverse formulation in memor retrieval process. Experiments undertaken reveal that the erro metric could successfully be used to diagnose two peopl suffering from Parkinson and three from the early Alzheimer' diseases among a total population of 50 healthy plus 5 brain diseased people.","PeriodicalId":166298,"journal":{"name":"2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","volume":"44 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":"125749268","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/ICRCICN.2017.8234505
Sabenabanu Abdulkadhar, Gurusamy Murugesan, J. Natarajan
Text classification (TC) is a task that assigns a text to one or more classes and predefined categories. Constructing text classifiers with high accuracy is a vital task in biomedical field, given the wealth of information hidden in unlabelled documents. Because of large feature spaces, traditionally discriminative approaches, such as logistic regression and support vector machines with n-gram and semantic features have been utilizedfor biomedical text classification. In this study, we propose Recurrent Convolution Neural Networks (RCNN) based automated technique for classifying protein-protein interaction (PPI) articles. In RCNN model we utilized a recurrent structure to detain the contextual information from word embedding features. Max pooling layer was configured to extract important semantic keywords from the text. We evaluated our approach on two benchmark PPI datasets BioCreative II and BioCreative III. An experimental results show that RCNN based protein-protein interaction classification approach performs better than other state of the art approaches.
{"title":"Recurrent convolution neural networks for classification of protein-protein interaction articles from biomedical literature","authors":"Sabenabanu Abdulkadhar, Gurusamy Murugesan, J. Natarajan","doi":"10.1109/ICRCICN.2017.8234505","DOIUrl":"https://doi.org/10.1109/ICRCICN.2017.8234505","url":null,"abstract":"Text classification (TC) is a task that assigns a text to one or more classes and predefined categories. Constructing text classifiers with high accuracy is a vital task in biomedical field, given the wealth of information hidden in unlabelled documents. Because of large feature spaces, traditionally discriminative approaches, such as logistic regression and support vector machines with n-gram and semantic features have been utilizedfor biomedical text classification. In this study, we propose Recurrent Convolution Neural Networks (RCNN) based automated technique for classifying protein-protein interaction (PPI) articles. In RCNN model we utilized a recurrent structure to detain the contextual information from word embedding features. Max pooling layer was configured to extract important semantic keywords from the text. We evaluated our approach on two benchmark PPI datasets BioCreative II and BioCreative III. An experimental results show that RCNN based protein-protein interaction classification approach performs better than other state of the art approaches.","PeriodicalId":166298,"journal":{"name":"2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","volume":"37 2 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":"128162378","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/ICRCICN.2017.8234484
S. Roshan, S. V. Kumar, Manish Kumar
The number of mobile users have grown tremendously in the past few years. Nowadays, mobile phones are not just used for the purpose of making calls, rather they have become an important modern gadget which helps people in various aspects of their lives. With this increase, a lot of time on mobile is spent in browsing the internet websites through mobile web browsers. Hence, mobile web browsers actually play an important role in the mobile market, and in the lives of the users. In this paper, we have analyzed the performance of six web browsers present in the iOS platform. These web browsers are selected based on their market share in the iOS platform and their popularity. We have evaluated them on different parameters such as browser features, speed, security, performance benchmark tests, plugin support and video streaming. We propose the best web browser based on each parameter used for performance evaluation. Also, we recommend the best web browser based on the overall performance evaluation.
{"title":"Performance evaluation of web browsers in iOS platform","authors":"S. Roshan, S. V. Kumar, Manish Kumar","doi":"10.1109/ICRCICN.2017.8234484","DOIUrl":"https://doi.org/10.1109/ICRCICN.2017.8234484","url":null,"abstract":"The number of mobile users have grown tremendously in the past few years. Nowadays, mobile phones are not just used for the purpose of making calls, rather they have become an important modern gadget which helps people in various aspects of their lives. With this increase, a lot of time on mobile is spent in browsing the internet websites through mobile web browsers. Hence, mobile web browsers actually play an important role in the mobile market, and in the lives of the users. In this paper, we have analyzed the performance of six web browsers present in the iOS platform. These web browsers are selected based on their market share in the iOS platform and their popularity. We have evaluated them on different parameters such as browser features, speed, security, performance benchmark tests, plugin support and video streaming. We propose the best web browser based on each parameter used for performance evaluation. Also, we recommend the best web browser based on the overall performance evaluation.","PeriodicalId":166298,"journal":{"name":"2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","volume":"2 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":"130510489","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/ICRCICN.2017.8234522
Sandip Dey, S. Bhattacharyya, V. Snás̃el, Alokananda Dey, Satabdwi Sarkar
Clustering, a well-known technique, is used to divide a data set into number of groups, called clusters. Differential evolution and particle swarm optimization are robust, fast and very effective search techniques. To increase computational capability, two different quantum inspired meta-heuristics for automatic clustering, have been proposed here. An application of quantum inspired techniques has been demonstrated for automatic clustering of image data sets. These techniques are able to find optimal number of clusters “on the run” for an image data sets. As the comparative research, a comparison has been made between the proposed techniques and their conventional counterparts for four images data set. Effectiveness of the proposed techniques has been exhibited against the fitness value, standard deviation and mean of the fitness, standard error and computational time. Finally, two separate statistical superiority test, referred to as i-test and Friedman test have been performed to prove the superiority the of proposed approaches in their favor.
{"title":"PSO and DE based novel quantum inspired automatic clustering techniques","authors":"Sandip Dey, S. Bhattacharyya, V. Snás̃el, Alokananda Dey, Satabdwi Sarkar","doi":"10.1109/ICRCICN.2017.8234522","DOIUrl":"https://doi.org/10.1109/ICRCICN.2017.8234522","url":null,"abstract":"Clustering, a well-known technique, is used to divide a data set into number of groups, called clusters. Differential evolution and particle swarm optimization are robust, fast and very effective search techniques. To increase computational capability, two different quantum inspired meta-heuristics for automatic clustering, have been proposed here. An application of quantum inspired techniques has been demonstrated for automatic clustering of image data sets. These techniques are able to find optimal number of clusters “on the run” for an image data sets. As the comparative research, a comparison has been made between the proposed techniques and their conventional counterparts for four images data set. Effectiveness of the proposed techniques has been exhibited against the fitness value, standard deviation and mean of the fitness, standard error and computational time. Finally, two separate statistical superiority test, referred to as i-test and Friedman test have been performed to prove the superiority the of proposed approaches in their favor.","PeriodicalId":166298,"journal":{"name":"2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","volume":"18 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":"126814609","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/ICRCICN.2017.8234495
S. Labib
This Waste management is a major issue for rapidly growing megacities in developing countries. Unorganized and poor management system leads towards negative environmental impact, and lowering livability of these cities. How-ever, there are scope for integrating general people in the waste management to improve overall performance. In such context, the aim of this study is to develop and detail, a volunteer GIS based smart waste management system for Dhaka city; in order to ensure active participation of the citizens in resolving poor solid waste management conditions. The study concentrated in developing a Geoweb (Web 2.0) design for collecting waste related problems from the citizens. VGIS concept is developed using web-server and VGIS interface, with JavaScript and Google Maps APIs. The developed Geo-web would allow to report waste related problems (e.g., Illegal waste dumping) by the citizens using geo-tagged marker over a customized Google Map. Additionally, the website would also be used to disseminate waste collection schedule, contact information of the waste collectors for different wards in the city. The system would provide a common platform for citizens' active participation in waste management, and also help bridge the gap between citizens and local government, thus would open opportunities for active e-governance. Successful implementation of the system can help reducing solid waste management problems and create awareness among the citizens regarding waste management and use of internet in improving their surroundings.
{"title":"Volunteer GIS (VGIS) based waste management: A conceptual design and use of web 2.0 for smart waste management in Dhaka City","authors":"S. Labib","doi":"10.1109/ICRCICN.2017.8234495","DOIUrl":"https://doi.org/10.1109/ICRCICN.2017.8234495","url":null,"abstract":"This Waste management is a major issue for rapidly growing megacities in developing countries. Unorganized and poor management system leads towards negative environmental impact, and lowering livability of these cities. How-ever, there are scope for integrating general people in the waste management to improve overall performance. In such context, the aim of this study is to develop and detail, a volunteer GIS based smart waste management system for Dhaka city; in order to ensure active participation of the citizens in resolving poor solid waste management conditions. The study concentrated in developing a Geoweb (Web 2.0) design for collecting waste related problems from the citizens. VGIS concept is developed using web-server and VGIS interface, with JavaScript and Google Maps APIs. The developed Geo-web would allow to report waste related problems (e.g., Illegal waste dumping) by the citizens using geo-tagged marker over a customized Google Map. Additionally, the website would also be used to disseminate waste collection schedule, contact information of the waste collectors for different wards in the city. The system would provide a common platform for citizens' active participation in waste management, and also help bridge the gap between citizens and local government, thus would open opportunities for active e-governance. Successful implementation of the system can help reducing solid waste management problems and create awareness among the citizens regarding waste management and use of internet in improving their surroundings.","PeriodicalId":166298,"journal":{"name":"2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","volume":"77 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":"115964715","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/ICRCICN.2017.8234489
A. Sadhukhan, S. Ganguly, P. Gayen
This paper presents the particle swarm optimization based harmonic elimination pulse width modulation (HEPWM) technique for three-phase voltage source inverter (VSI) to reduce predominant lower order harmonics at its output. The switching strategy of power semiconductor devices of VSI decides the nature of its output voltage. In this regard, the switching strategy can be broadly classified as lower and higher switching frequency pulse width modulation (PWM) methodology. In this paper, lower switching frequency HEPWM is adopted to reduce switching losses in VSI as well as significant lower order harmonics are almost eliminated. For obtaining the required HEPWM waveform, the switching angles are computed using PSO technique so that the THD up to 43rd order harmonics are considered to be minimized at different values of fundamental component. The PIC microcontroller is used to generate HEPWM signals which are applied to the VSI in hardware platform.
{"title":"Reduction of harmonics at output of three-phase VSI using PSO based PWM technique","authors":"A. Sadhukhan, S. Ganguly, P. Gayen","doi":"10.1109/ICRCICN.2017.8234489","DOIUrl":"https://doi.org/10.1109/ICRCICN.2017.8234489","url":null,"abstract":"This paper presents the particle swarm optimization based harmonic elimination pulse width modulation (HEPWM) technique for three-phase voltage source inverter (VSI) to reduce predominant lower order harmonics at its output. The switching strategy of power semiconductor devices of VSI decides the nature of its output voltage. In this regard, the switching strategy can be broadly classified as lower and higher switching frequency pulse width modulation (PWM) methodology. In this paper, lower switching frequency HEPWM is adopted to reduce switching losses in VSI as well as significant lower order harmonics are almost eliminated. For obtaining the required HEPWM waveform, the switching angles are computed using PSO technique so that the THD up to 43rd order harmonics are considered to be minimized at different values of fundamental component. The PIC microcontroller is used to generate HEPWM signals which are applied to the VSI in hardware platform.","PeriodicalId":166298,"journal":{"name":"2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","volume":"6 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":"127805366","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/ICRCICN.2017.8234501
D. Santra, A. Mukherjee, K. Sarker, S. Mondal
This paper reports the application of a hybrid metaheuristic — a combination of Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) methods, in midscale thermal power dispatch problem with transmission losses. The hybrid technique applies ACO over output obtained by PSO to get an economic load dispatch (ELD) solution close to global optima. In the present study the hybrid technique has been experimented with a 15-generator system by considering generator capacity constraints, prohibited operating zones (POZ), ramp rate limits (RRL) and valve point loading (VPL) in addition to transmission loss. MATLAB simulation has been done for three test cases involving different combinations of constraints. This unique study comes up with encouraging results wherein the generation cost, loss and convergence are better than that yielded by other hybrid methods.
{"title":"Medium scale multi-constraint economic load dispatch using hybrid metaheuristics","authors":"D. Santra, A. Mukherjee, K. Sarker, S. Mondal","doi":"10.1109/ICRCICN.2017.8234501","DOIUrl":"https://doi.org/10.1109/ICRCICN.2017.8234501","url":null,"abstract":"This paper reports the application of a hybrid metaheuristic — a combination of Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) methods, in midscale thermal power dispatch problem with transmission losses. The hybrid technique applies ACO over output obtained by PSO to get an economic load dispatch (ELD) solution close to global optima. In the present study the hybrid technique has been experimented with a 15-generator system by considering generator capacity constraints, prohibited operating zones (POZ), ramp rate limits (RRL) and valve point loading (VPL) in addition to transmission loss. MATLAB simulation has been done for three test cases involving different combinations of constraints. This unique study comes up with encouraging results wherein the generation cost, loss and convergence are better than that yielded by other hybrid methods.","PeriodicalId":166298,"journal":{"name":"2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","volume":"26 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":"134305248","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/ICRCICN.2017.8234529
Sarbajit Manna, Mohit Prajapati, A. Sett, K. Banerjee, S. Dutta
A two-layered hybrid cryptosystem is proposed here. In symmetric key cryptosystem, the shared key is sent over a channel to the receiver. If an encrypted shared key is sent, the chance of intercepting the original key is reduced to some extent. So a hybrid cryptosystem is introduced here which is a combination of both asymmetric key and symmetric key cryptosystem. In the proposed technique, the encryption of the shared key is done using RSA algorithm by receiver's public key. Then the plain text is encrypted using the shared key to form the cipher text. The cipher text along with the encrypted shared key is sent to the receiver. The encrypted shared key is decrypted by the receiver using his or her private key. After that, using the decrypted key, the plain text is recovered by the receiver. Advantage of the proposed cryptosystem is that even if the shared key is intercepted during transmission, it is not the original shared key. The proposed technique can be implemented with files of any type.
{"title":"Design and implementation of a two-layered hybrid cryptosystem","authors":"Sarbajit Manna, Mohit Prajapati, A. Sett, K. Banerjee, S. Dutta","doi":"10.1109/ICRCICN.2017.8234529","DOIUrl":"https://doi.org/10.1109/ICRCICN.2017.8234529","url":null,"abstract":"A two-layered hybrid cryptosystem is proposed here. In symmetric key cryptosystem, the shared key is sent over a channel to the receiver. If an encrypted shared key is sent, the chance of intercepting the original key is reduced to some extent. So a hybrid cryptosystem is introduced here which is a combination of both asymmetric key and symmetric key cryptosystem. In the proposed technique, the encryption of the shared key is done using RSA algorithm by receiver's public key. Then the plain text is encrypted using the shared key to form the cipher text. The cipher text along with the encrypted shared key is sent to the receiver. The encrypted shared key is decrypted by the receiver using his or her private key. After that, using the decrypted key, the plain text is recovered by the receiver. Advantage of the proposed cryptosystem is that even if the shared key is intercepted during transmission, it is not the original shared key. The proposed technique can be implemented with files of any type.","PeriodicalId":166298,"journal":{"name":"2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","volume":"94 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":"133355431","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/ICRCICN.2017.8234478
Ashis Kumar Das, D. Biswas, S. Halder
The bioelectric signals originate from different organs of human body. Out of these ECG is one of the important bioelectric signals for our concern and for investigation of various heart ailments. ECG demonstrates graphical rendition of activity of the heart and by analyzing the ECG signal several heart diseases can be identified. For analysis of ECG signal, it must be noise free. There are several techniques for filtering out the noise from ECG signal. It is imperative to find out a best possible method for ECG Signal de-noising, which may be investigated by finding and comparing the signal-to-signal-plus-noise ratios (SSNR) and root-mean-square deviations (RMSD). By considering a mother wavelet with different levels and threshold, the values of SSNR and RMSD are calculated and compared to achieve a best possible result. Similarly, by utilizing different frame lengths and polynomial orders, the S-G filter is employed to find SSNR and RMSD. The results of these methods are also compared. Finally, the orders and frame lengths of S-G filters can be obtained by optimizing with the help of particle swarm optimization (PSO) technique.
{"title":"Analysis of de-noising techniques of non-stationary ECG signal based on wavelet and PSO optimized parameters for Savitzky golay filter","authors":"Ashis Kumar Das, D. Biswas, S. Halder","doi":"10.1109/ICRCICN.2017.8234478","DOIUrl":"https://doi.org/10.1109/ICRCICN.2017.8234478","url":null,"abstract":"The bioelectric signals originate from different organs of human body. Out of these ECG is one of the important bioelectric signals for our concern and for investigation of various heart ailments. ECG demonstrates graphical rendition of activity of the heart and by analyzing the ECG signal several heart diseases can be identified. For analysis of ECG signal, it must be noise free. There are several techniques for filtering out the noise from ECG signal. It is imperative to find out a best possible method for ECG Signal de-noising, which may be investigated by finding and comparing the signal-to-signal-plus-noise ratios (SSNR) and root-mean-square deviations (RMSD). By considering a mother wavelet with different levels and threshold, the values of SSNR and RMSD are calculated and compared to achieve a best possible result. Similarly, by utilizing different frame lengths and polynomial orders, the S-G filter is employed to find SSNR and RMSD. The results of these methods are also compared. Finally, the orders and frame lengths of S-G filters can be obtained by optimizing with the help of particle swarm optimization (PSO) technique.","PeriodicalId":166298,"journal":{"name":"2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","volume":"6 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":"124833237","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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