Pub Date : 2018-09-01DOI: 10.1109/ICFSP.2018.8552068
Jȩdrzej Bieniasz, K. Szczypiorski
The fog computing has emerged as the extension of cloud computing to the network edge. The idea could be considered as a promising mechanism for cybersecurity by assuming that higher uncertainty of information from perspective of adversaries would improve the security of networks and data. This approach is recognized as cyberfog security in which data, split into fragments, is dispersed across multiple end-user devices. Even if some of them would be compromised, the adversary could not decode information and the availability of data would not be affected. This paper considers applying two steganographic proposals (StegHash and SocialStegDisc) for a new distributed communication system by fulfilling assumptions of cyberfog security approach. The initial design of such system is proposed. Features and limitations were analyzed to prepare recommendations for further development and research.
{"title":"Towards Empowering Cyber Attack Resiliency Using Steganography","authors":"Jȩdrzej Bieniasz, K. Szczypiorski","doi":"10.1109/ICFSP.2018.8552068","DOIUrl":"https://doi.org/10.1109/ICFSP.2018.8552068","url":null,"abstract":"The fog computing has emerged as the extension of cloud computing to the network edge. The idea could be considered as a promising mechanism for cybersecurity by assuming that higher uncertainty of information from perspective of adversaries would improve the security of networks and data. This approach is recognized as cyberfog security in which data, split into fragments, is dispersed across multiple end-user devices. Even if some of them would be compromised, the adversary could not decode information and the availability of data would not be affected. This paper considers applying two steganographic proposals (StegHash and SocialStegDisc) for a new distributed communication system by fulfilling assumptions of cyberfog security approach. The initial design of such system is proposed. Features and limitations were analyzed to prepare recommendations for further development and research.","PeriodicalId":355222,"journal":{"name":"2018 4th International Conference on Frontiers of Signal Processing (ICFSP)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115535096","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 : 2018-09-01DOI: 10.1109/ICFSP.2018.8552058
R. Haratian, T. Timotijevic
In this paper, a new algorithm is proposed for recognition of user experience through emotion detection using physiological signals, for application in human-machine interaction. The algorithm recognizes user’s emotion quality and intensity in a two dimensional emotion space continuously. The continuous recognition of the user’s emotion during human-machine interaction will enable the machine to adapt its activity based on the user’s emotion in a real-time manner, thus improving user experience. The emotion model underlying the proposed algorithm is one of the most recent emotion models, which models emotion’s intensity and quality in a continuous two-dimensional space of valance and arousal axes. Using only two physiological signals, which are correlated to the valance and arousal axes of the emotion space, is among the contributions of this paper. Prediction of emotion through physiological signals has the advantage of elimination of social masking and making the prediction more reliable. The key advantage of the proposed algorithm over other algorithms presented to date is the use of the least number of modalities (only two physiological signals) to predict the quality and intensity of emotion continuously in time, and using the most recent widely accepted emotion model.
{"title":"On-body Sensing and Signal Analysis for User Experience Recognition in Human-Machine Interaction","authors":"R. Haratian, T. Timotijevic","doi":"10.1109/ICFSP.2018.8552058","DOIUrl":"https://doi.org/10.1109/ICFSP.2018.8552058","url":null,"abstract":"In this paper, a new algorithm is proposed for recognition of user experience through emotion detection using physiological signals, for application in human-machine interaction. The algorithm recognizes user’s emotion quality and intensity in a two dimensional emotion space continuously. The continuous recognition of the user’s emotion during human-machine interaction will enable the machine to adapt its activity based on the user’s emotion in a real-time manner, thus improving user experience. The emotion model underlying the proposed algorithm is one of the most recent emotion models, which models emotion’s intensity and quality in a continuous two-dimensional space of valance and arousal axes. Using only two physiological signals, which are correlated to the valance and arousal axes of the emotion space, is among the contributions of this paper. Prediction of emotion through physiological signals has the advantage of elimination of social masking and making the prediction more reliable. The key advantage of the proposed algorithm over other algorithms presented to date is the use of the least number of modalities (only two physiological signals) to predict the quality and intensity of emotion continuously in time, and using the most recent widely accepted emotion model.","PeriodicalId":355222,"journal":{"name":"2018 4th International Conference on Frontiers of Signal Processing (ICFSP)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114062618","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 : 2018-09-01DOI: 10.1109/icfsp.2018.8552054
{"title":"ICFSP 2018 Copyright Page","authors":"","doi":"10.1109/icfsp.2018.8552054","DOIUrl":"https://doi.org/10.1109/icfsp.2018.8552054","url":null,"abstract":"","PeriodicalId":355222,"journal":{"name":"2018 4th International Conference on Frontiers of Signal Processing (ICFSP)","volume":"391 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124481498","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 : 2018-09-01DOI: 10.1109/ICFSP.2018.8552050
E. C. Marques, N. Maciel, L. Naviner, Hao Cai, Jun Yang
Compressive sensing theory is suitable for sparse channel estimation, since the acquired measurement can be reduced in comparison with linear estimation methods. In this paper, we analyze the wideband HF channel estimation. Experimental results demonstrate that this channel is sparse in the delay spread domain. Moreover, the use of sparse recovery algorithms achieves better results in terms of Mean-Square Deviation than the Least Square algorithm.
{"title":"Compressed Sensing for Wideband HF Channel Estimation","authors":"E. C. Marques, N. Maciel, L. Naviner, Hao Cai, Jun Yang","doi":"10.1109/ICFSP.2018.8552050","DOIUrl":"https://doi.org/10.1109/ICFSP.2018.8552050","url":null,"abstract":"Compressive sensing theory is suitable for sparse channel estimation, since the acquired measurement can be reduced in comparison with linear estimation methods. In this paper, we analyze the wideband HF channel estimation. Experimental results demonstrate that this channel is sparse in the delay spread domain. Moreover, the use of sparse recovery algorithms achieves better results in terms of Mean-Square Deviation than the Least Square algorithm.","PeriodicalId":355222,"journal":{"name":"2018 4th International Conference on Frontiers of Signal Processing (ICFSP)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131566226","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 : 2018-09-01DOI: 10.1109/ICFSP.2018.8552066
Ali Al-Mohammedi, Mohamed Deriche
In this paper, new variable step-size transform domain (VSSTD) algorithm is developed for Diffusion Least Mean Square (DLMS) multi-task networks with system identification application over Wireless Sensor Networks (WSNs). Our main contributions are the theoretical derivations of convergence analysis of Discrete Cosine Transform DLMS (DCTDLMS) algorithm considering adaptive combiners. Our simulations showed performance improvement compared to the traditional DLMS.
{"title":"Variable Step-Size Discrete Cosine Transform Diffusion LMS over Multi-task Networks","authors":"Ali Al-Mohammedi, Mohamed Deriche","doi":"10.1109/ICFSP.2018.8552066","DOIUrl":"https://doi.org/10.1109/ICFSP.2018.8552066","url":null,"abstract":"In this paper, new variable step-size transform domain (VSSTD) algorithm is developed for Diffusion Least Mean Square (DLMS) multi-task networks with system identification application over Wireless Sensor Networks (WSNs). Our main contributions are the theoretical derivations of convergence analysis of Discrete Cosine Transform DLMS (DCTDLMS) algorithm considering adaptive combiners. Our simulations showed performance improvement compared to the traditional DLMS.","PeriodicalId":355222,"journal":{"name":"2018 4th International Conference on Frontiers of Signal Processing (ICFSP)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127065154","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 : 2018-09-01DOI: 10.1109/ICFSP.2018.8552047
O. Chernoyarov, A. Faulgaber, A. Salnikova
We found the analytical expressions for the central moments of the estimate of the time of arrival of the random pulse with inexactly known duration. This estimate was synthesized by the maximum likelihood method. We show that the anomalous errors, which are possible under not too big output signal-to-noise ratio, can result in the considerable change of the distribution of the obtained estimate, particularly increasing the coefficient of excess by several thousand units. By methods of statistical simulation, we determined the borders of applicability for the asymptotically exact formulae for the third- and fourth-order cumulant coefficients.
{"title":"Features of the Distribution of the Estimate of the Time of Arrival of the Random Radio Pulse with Inexactly Known Duration","authors":"O. Chernoyarov, A. Faulgaber, A. Salnikova","doi":"10.1109/ICFSP.2018.8552047","DOIUrl":"https://doi.org/10.1109/ICFSP.2018.8552047","url":null,"abstract":"We found the analytical expressions for the central moments of the estimate of the time of arrival of the random pulse with inexactly known duration. This estimate was synthesized by the maximum likelihood method. We show that the anomalous errors, which are possible under not too big output signal-to-noise ratio, can result in the considerable change of the distribution of the obtained estimate, particularly increasing the coefficient of excess by several thousand units. By methods of statistical simulation, we determined the borders of applicability for the asymptotically exact formulae for the third- and fourth-order cumulant coefficients.","PeriodicalId":355222,"journal":{"name":"2018 4th International Conference on Frontiers of Signal Processing (ICFSP)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127511531","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 : 2018-09-01DOI: 10.1109/icfsp.2018.8552070
{"title":"ICFSP 2018 Preface","authors":"","doi":"10.1109/icfsp.2018.8552070","DOIUrl":"https://doi.org/10.1109/icfsp.2018.8552070","url":null,"abstract":"","PeriodicalId":355222,"journal":{"name":"2018 4th International Conference on Frontiers of Signal Processing (ICFSP)","volume":"204 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123049047","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 : 2018-09-01DOI: 10.1109/ICFSP.2018.8552053
H. Darawsheh, A. Tarczynski
This paper presents an example application of digital alias-free signal processing, where a sequence of irregularly spaced, yet uniformly gridded, samples of a bandlimited discrete-time signal is filtered by using an oversampled finite impulse response filter. The mathematical model of the proposed filter is introduced, and a new interpolation formula for calculating the convolution operation of the filter, based on nonuniform sampling, is derived. In addition, uniform grid versions of Total Random, Stratified and Antithetical Stratified random sampling techniques are demonstrated. We carry out numerical comparison between these techniques and the proposed one in terms of Fourier transform estimates of the filtered output signal. The proposed interpolation technique shows enhancements over other sampling techniques after certain number of sampling points. Furthermore, it has a faster uniform convergence rate of the normalized root mean squared error than other techniques.
{"title":"Filtering Nonuniformly Sampled Grid-Based Signals","authors":"H. Darawsheh, A. Tarczynski","doi":"10.1109/ICFSP.2018.8552053","DOIUrl":"https://doi.org/10.1109/ICFSP.2018.8552053","url":null,"abstract":"This paper presents an example application of digital alias-free signal processing, where a sequence of irregularly spaced, yet uniformly gridded, samples of a bandlimited discrete-time signal is filtered by using an oversampled finite impulse response filter. The mathematical model of the proposed filter is introduced, and a new interpolation formula for calculating the convolution operation of the filter, based on nonuniform sampling, is derived. In addition, uniform grid versions of Total Random, Stratified and Antithetical Stratified random sampling techniques are demonstrated. We carry out numerical comparison between these techniques and the proposed one in terms of Fourier transform estimates of the filtered output signal. The proposed interpolation technique shows enhancements over other sampling techniques after certain number of sampling points. Furthermore, it has a faster uniform convergence rate of the normalized root mean squared error than other techniques.","PeriodicalId":355222,"journal":{"name":"2018 4th International Conference on Frontiers of Signal Processing (ICFSP)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115876767","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 : 2018-09-01DOI: 10.1109/ICFSP.2018.8552051
Ammar Aldallal, Amina Abdul Aziz Al-Moosa
Modernization and commercialization of life lead to an unhealthy Lifestyle that results in increasing non-communicable diseases such as heart diseases and diabetes. Non-communicable diseases have direct impact on inaction, inactivity, and idleness of people. Heart diseases and diabetes are two of the most dangerous killers affecting the society. This research aims to produce application software to be used by doctors and other medical practitioners to predict the occurrence or recurrence of non-communicable diseases (NCDs). The predictive data-mining model was applied in this project. Patients records obtained from Bahrain Defense Force Hospital were used to examine the proposed software application. This application was executed and tested by the actual practitioner in the mentioned hospital. The results showed that the prediction system is capable of predicting NCDs’ diseases effectively, efficiently and most importantly, instantly. This application is capable of helping a physician in making proper decisions towards patient health risks.
{"title":"Using Data Mining Techniques to Predict Diabetes and Heart Diseases","authors":"Ammar Aldallal, Amina Abdul Aziz Al-Moosa","doi":"10.1109/ICFSP.2018.8552051","DOIUrl":"https://doi.org/10.1109/ICFSP.2018.8552051","url":null,"abstract":"Modernization and commercialization of life lead to an unhealthy Lifestyle that results in increasing non-communicable diseases such as heart diseases and diabetes. Non-communicable diseases have direct impact on inaction, inactivity, and idleness of people. Heart diseases and diabetes are two of the most dangerous killers affecting the society. This research aims to produce application software to be used by doctors and other medical practitioners to predict the occurrence or recurrence of non-communicable diseases (NCDs). The predictive data-mining model was applied in this project. Patients records obtained from Bahrain Defense Force Hospital were used to examine the proposed software application. This application was executed and tested by the actual practitioner in the mentioned hospital. The results showed that the prediction system is capable of predicting NCDs’ diseases effectively, efficiently and most importantly, instantly. This application is capable of helping a physician in making proper decisions towards patient health risks.","PeriodicalId":355222,"journal":{"name":"2018 4th International Conference on Frontiers of Signal Processing (ICFSP)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123615880","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 : 2018-09-01DOI: 10.1109/ICFSP.2018.8552043
Amin Sedighfar, M. R. Moniri
Battery State of Health (SOH) is a vital parameter to maintain the battery as well. As a matter of fact this is the ability of a battery to store energy. It is needless to say that during the lifetime of a battery, its performance gradually decreases, so by using a suitable Battery Management System (BMS), safety and improvement of the usage lifetime can be guaranteed. The traditional methods for indicating usable capacity are basically based on output voltage measuring in the discharge process with a constant current pulse. However, due to load changes the discharge current of batteries in operation almost always fluctuates, which makes it hard to measure the online capacity measurement for the traditional methods. To overcome the above problems, a filter design approach is proposed in this paper to estimate the SOH. This paper by using a generic second order equivalent circuit, that has been used for both VRLA and Li-ion batteries before, presents comparison of three well-known filters performance in the battery SOH estimation application. Parameter estimation have been applied in order to compare and contrast. To verify the performance of the methods, simulations were built in Matlab and final results show accuracy of filters and claim merits and demerits of them.
{"title":"Comparison of Three Well-known Filters for the Battery State of Health Estimation Application","authors":"Amin Sedighfar, M. R. Moniri","doi":"10.1109/ICFSP.2018.8552043","DOIUrl":"https://doi.org/10.1109/ICFSP.2018.8552043","url":null,"abstract":"Battery State of Health (SOH) is a vital parameter to maintain the battery as well. As a matter of fact this is the ability of a battery to store energy. It is needless to say that during the lifetime of a battery, its performance gradually decreases, so by using a suitable Battery Management System (BMS), safety and improvement of the usage lifetime can be guaranteed. The traditional methods for indicating usable capacity are basically based on output voltage measuring in the discharge process with a constant current pulse. However, due to load changes the discharge current of batteries in operation almost always fluctuates, which makes it hard to measure the online capacity measurement for the traditional methods. To overcome the above problems, a filter design approach is proposed in this paper to estimate the SOH. This paper by using a generic second order equivalent circuit, that has been used for both VRLA and Li-ion batteries before, presents comparison of three well-known filters performance in the battery SOH estimation application. Parameter estimation have been applied in order to compare and contrast. To verify the performance of the methods, simulations were built in Matlab and final results show accuracy of filters and claim merits and demerits of them.","PeriodicalId":355222,"journal":{"name":"2018 4th International Conference on Frontiers of Signal Processing (ICFSP)","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124248526","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：