Pub Date : 2019-07-01DOI: 10.1109/TSP.2019.8769112
Y. Nechaev, I. Peshkov
In this paper an approach of obtaining optimal planar antenna arrays consisting of omnidirectional sensors is proposed. The novelty of the proposed approach is to apply an exact expression of the Cramer-Rao lower bound for an arbitrary planar antenna array consisting of a number of omnidirectional elements which has been presented in the further chapters of the paper. The obtained formula describes the influence of antenna elements locations on the direction-of-arrival estimation accuracy. It has been shown that the direction-of-arrival accuracy via planar antenna arrays is determined as the sum of squares of differences between all omnidirectional elements coordinates along x- and y-axis. Thus knowing an expected area or sector of signal source it is very easy to calculate optimal arrangement of antenna elements in order to reduce direction-finding errors, because obtained by that way positions gives the best match according to the maximum likelihood criterion. It is found out that the new shapes of antenna arrays based on the analytical expressions have better direction-of-arrival accuracy in comparison with the circular ones.
{"title":"Novel Planar Antenna Arrays Geometries Improving DOA Estimation Accuracy of Narrowband Sources on the Azimuth","authors":"Y. Nechaev, I. Peshkov","doi":"10.1109/TSP.2019.8769112","DOIUrl":"https://doi.org/10.1109/TSP.2019.8769112","url":null,"abstract":"In this paper an approach of obtaining optimal planar antenna arrays consisting of omnidirectional sensors is proposed. The novelty of the proposed approach is to apply an exact expression of the Cramer-Rao lower bound for an arbitrary planar antenna array consisting of a number of omnidirectional elements which has been presented in the further chapters of the paper. The obtained formula describes the influence of antenna elements locations on the direction-of-arrival estimation accuracy. It has been shown that the direction-of-arrival accuracy via planar antenna arrays is determined as the sum of squares of differences between all omnidirectional elements coordinates along x- and y-axis. Thus knowing an expected area or sector of signal source it is very easy to calculate optimal arrangement of antenna elements in order to reduce direction-finding errors, because obtained by that way positions gives the best match according to the maximum likelihood criterion. It is found out that the new shapes of antenna arrays based on the analytical expressions have better direction-of-arrival accuracy in comparison with the circular ones.","PeriodicalId":399087,"journal":{"name":"2019 42nd International Conference on Telecommunications and Signal Processing (TSP)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125008197","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 : 2019-07-01DOI: 10.1109/TSP.2019.8768864
Alina L. Machidon, O. Machidon, P. Ogrutan
The human face exhibits a high level of complexity when it is regarded as a multidimensional visual model, leading to face recognition systems that require difficult and extensive computations for coding and decoding the face images. A well-established approach in this regard is based on using principle component analysis (PCA) for both feature extraction and face recognition, known as the eigenface approach. This technique, despite a good recognition rate, suffers from the disadvantage of high computation cost due to the complexity of the PCA algorithm. In this paper, we use a geometrical approximated PCA (gaPCA) algorithm for computing the eigenfaces for three different datasets. The face recognition task is performed using a similarity score based on the inverse Euclidean distance for the first two datasets and using a nerual network in the third case. All the results are compared to the case where standard PCA is used. These accuracy results show that gaPCA represents a viable alternative to the classical statistical approach for computing the principal components.
{"title":"Face Recognition Using Eigenfaces, Geometrical PCA Approximation and Neural Networks","authors":"Alina L. Machidon, O. Machidon, P. Ogrutan","doi":"10.1109/TSP.2019.8768864","DOIUrl":"https://doi.org/10.1109/TSP.2019.8768864","url":null,"abstract":"The human face exhibits a high level of complexity when it is regarded as a multidimensional visual model, leading to face recognition systems that require difficult and extensive computations for coding and decoding the face images. A well-established approach in this regard is based on using principle component analysis (PCA) for both feature extraction and face recognition, known as the eigenface approach. This technique, despite a good recognition rate, suffers from the disadvantage of high computation cost due to the complexity of the PCA algorithm. In this paper, we use a geometrical approximated PCA (gaPCA) algorithm for computing the eigenfaces for three different datasets. The face recognition task is performed using a similarity score based on the inverse Euclidean distance for the first two datasets and using a nerual network in the third case. All the results are compared to the case where standard PCA is used. These accuracy results show that gaPCA represents a viable alternative to the classical statistical approach for computing the principal components.","PeriodicalId":399087,"journal":{"name":"2019 42nd International Conference on Telecommunications and Signal Processing (TSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131986160","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 : 2019-07-01DOI: 10.1109/TSP.2019.8769039
Anam Fatima, Ritesh Maurya, M. Dutta, Radim Burget, J. Masek
Android platform due to open source characteristic and Google backing has the largest global market share. Being the world’s most popular operating system, it has drawn the attention of cyber criminals operating particularly through wide distribution of malicious applications. This paper proposes an effectual machine-learning based approach for Android Malware Detection making use of evolutionary Genetic algorithm for discriminatory feature selection. Selected features from Genetic algorithm are used to train machine learning classifiers and their capability in identification of Malware before and after feature selection is compared. The experimentation results validate that Genetic algorithm gives most optimized feature subset helping in reduction of feature dimension to less than half of the original feature-set. Classification accuracy of more than 94% is maintained post feature selection for the machine learning based classifiers, while working on much reduced feature dimension, thereby, having a positive impact on computational complexity of learning classifiers.
{"title":"Android Malware Detection Using Genetic Algorithm based Optimized Feature Selection and Machine Learning","authors":"Anam Fatima, Ritesh Maurya, M. Dutta, Radim Burget, J. Masek","doi":"10.1109/TSP.2019.8769039","DOIUrl":"https://doi.org/10.1109/TSP.2019.8769039","url":null,"abstract":"Android platform due to open source characteristic and Google backing has the largest global market share. Being the world’s most popular operating system, it has drawn the attention of cyber criminals operating particularly through wide distribution of malicious applications. This paper proposes an effectual machine-learning based approach for Android Malware Detection making use of evolutionary Genetic algorithm for discriminatory feature selection. Selected features from Genetic algorithm are used to train machine learning classifiers and their capability in identification of Malware before and after feature selection is compared. The experimentation results validate that Genetic algorithm gives most optimized feature subset helping in reduction of feature dimension to less than half of the original feature-set. Classification accuracy of more than 94% is maintained post feature selection for the machine learning based classifiers, while working on much reduced feature dimension, thereby, having a positive impact on computational complexity of learning classifiers.","PeriodicalId":399087,"journal":{"name":"2019 42nd International Conference on Telecommunications and Signal Processing (TSP)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134424419","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 : 2019-07-01DOI: 10.1109/TSP.2019.8768840
Pavel Mašek, Martin Stusek, Krystof Zeman, Radek Mozny, A. Ometov, Jiri Hosek
The Internet of Things (IoT) enables long-range outdoor networks, such as smart grid and municipal lighting, as well as short-range indoor systems for smart homes, residential security, and energy management. Wireless connectivity and standardized communication protocols become an essential technology baseline for these diverse IoT applications. The focus of this work is wireless connectivity for smart metering systems. One of the recent protocols in this field is Wireless M-BUS, which is being widely utilized for remote metering applications across Europe. Therefore, in this paper, we detail a novel multi-platform framework designed to serve as a data generator for the protocol in question. The developed software allows to construct Wireless M-Bus telegrams with a high level of detail according to the EN 13757-4 specification and then schedule them for periodic transmission. The evaluation of the data generator is done in real scenario by using previously developed prototype equipped with IQRF TR72DA communication module acting as a smart meter with implemented software framework. As a result, the evaluation of communication distance between the developed Wireless MBus prototype and commercial gateway was tested in case of indoor scenario at Brno University of Technology, Faculty of Electrical Engineering and Communication.
{"title":"A Perspective on Wireless M-Bus for Smart Electricity Grids","authors":"Pavel Mašek, Martin Stusek, Krystof Zeman, Radek Mozny, A. Ometov, Jiri Hosek","doi":"10.1109/TSP.2019.8768840","DOIUrl":"https://doi.org/10.1109/TSP.2019.8768840","url":null,"abstract":"The Internet of Things (IoT) enables long-range outdoor networks, such as smart grid and municipal lighting, as well as short-range indoor systems for smart homes, residential security, and energy management. Wireless connectivity and standardized communication protocols become an essential technology baseline for these diverse IoT applications. The focus of this work is wireless connectivity for smart metering systems. One of the recent protocols in this field is Wireless M-BUS, which is being widely utilized for remote metering applications across Europe. Therefore, in this paper, we detail a novel multi-platform framework designed to serve as a data generator for the protocol in question. The developed software allows to construct Wireless M-Bus telegrams with a high level of detail according to the EN 13757-4 specification and then schedule them for periodic transmission. The evaluation of the data generator is done in real scenario by using previously developed prototype equipped with IQRF TR72DA communication module acting as a smart meter with implemented software framework. As a result, the evaluation of communication distance between the developed Wireless MBus prototype and commercial gateway was tested in case of indoor scenario at Brno University of Technology, Faculty of Electrical Engineering and Communication.","PeriodicalId":399087,"journal":{"name":"2019 42nd International Conference on Telecommunications and Signal Processing (TSP)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131966179","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 : 2019-07-01DOI: 10.1109/TSP.2019.8769065
E. Minguez, M. Faúndez-Zanuy
This paper presents a first indoor prototype of a fall detection device based on a Cortex M4 microcontroller. The main features of this device are its low cost, the communication capabilities that permit to send alarms and that it does not require the users to bring any device in their body.
{"title":"Low Cost Fall Detection Based on Cortex M4","authors":"E. Minguez, M. Faúndez-Zanuy","doi":"10.1109/TSP.2019.8769065","DOIUrl":"https://doi.org/10.1109/TSP.2019.8769065","url":null,"abstract":"This paper presents a first indoor prototype of a fall detection device based on a Cortex M4 microcontroller. The main features of this device are its low cost, the communication capabilities that permit to send alarms and that it does not require the users to bring any device in their body.","PeriodicalId":399087,"journal":{"name":"2019 42nd International Conference on Telecommunications and Signal Processing (TSP)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132959362","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 : 2019-07-01DOI: 10.1109/TSP.2019.8769077
Jan Dorazil, K. Říha, M. Dutta
Analysis of the movement of the common carotid artery (CCA) wall in ultrasound sequences can be used for diagnosis of many cardiovascular diseases. In this paper we introduce a method for localization of the CCA wall contour (approximated by a circle) inside an ultrasound image, which can be used in real-time applications for initialization of an artery wall tracking method. First we detect a rectangular region of interest (ROI) using a recently proposed method based on the Viola-Jones detector. Next we perform an exhaustive search over all possible circles inside the ROI. Circle which maximizes a particular criterion represents the final estimate. Experimental results on a dataset of 145 ultrasound images show that the method outperforms a reference method based on the Hough transform in terms of precision and misdetection rates.
{"title":"Common Carotid Artery Wall Localization in B-mode Ultrasound Images for Initialization of Artery Wall Tracking Methods","authors":"Jan Dorazil, K. Říha, M. Dutta","doi":"10.1109/TSP.2019.8769077","DOIUrl":"https://doi.org/10.1109/TSP.2019.8769077","url":null,"abstract":"Analysis of the movement of the common carotid artery (CCA) wall in ultrasound sequences can be used for diagnosis of many cardiovascular diseases. In this paper we introduce a method for localization of the CCA wall contour (approximated by a circle) inside an ultrasound image, which can be used in real-time applications for initialization of an artery wall tracking method. First we detect a rectangular region of interest (ROI) using a recently proposed method based on the Viola-Jones detector. Next we perform an exhaustive search over all possible circles inside the ROI. Circle which maximizes a particular criterion represents the final estimate. Experimental results on a dataset of 145 ultrasound images show that the method outperforms a reference method based on the Hough transform in terms of precision and misdetection rates.","PeriodicalId":399087,"journal":{"name":"2019 42nd International Conference on Telecommunications and Signal Processing (TSP)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132903594","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 : 2019-07-01DOI: 10.1109/TSP.2019.8769081
K. Angkeaw, Witthawas Pongyart, P. Prommee
Analog circuits were once necessary in many fields of technology, including control systems. Analog circuits were used to build many types of controller, but in controller design, synthesis of analog circuits were difficult. Because of its difficulty, most analog controllers have been replaced by digital controllers. Currently, the field programmable analog arrays (FPAA) which is a high level analog circuit, switched capacitor are widely used. Effective controller design and synthesis of analog circuits can be achieved easily using the FPAA. Therefore, the FPAA is applied to this project to design and synthesize an enhanced controller. An optimal controller, LQR as an example requires precise controller gain to obtain the highest performance which cannot be obtained using normal analog circuits. Moreover, using the FPAA can overcome performance degradation due to discretization in the synthesis of digital controllers. The simulation results confirm the advantages of a FPAA controller.
{"title":"Design and Implementation of FPAA based LQR Controller for Magnetic Levitation Control System","authors":"K. Angkeaw, Witthawas Pongyart, P. Prommee","doi":"10.1109/TSP.2019.8769081","DOIUrl":"https://doi.org/10.1109/TSP.2019.8769081","url":null,"abstract":"Analog circuits were once necessary in many fields of technology, including control systems. Analog circuits were used to build many types of controller, but in controller design, synthesis of analog circuits were difficult. Because of its difficulty, most analog controllers have been replaced by digital controllers. Currently, the field programmable analog arrays (FPAA) which is a high level analog circuit, switched capacitor are widely used. Effective controller design and synthesis of analog circuits can be achieved easily using the FPAA. Therefore, the FPAA is applied to this project to design and synthesize an enhanced controller. An optimal controller, LQR as an example requires precise controller gain to obtain the highest performance which cannot be obtained using normal analog circuits. Moreover, using the FPAA can overcome performance degradation due to discretization in the synthesis of digital controllers. The simulation results confirm the advantages of a FPAA controller.","PeriodicalId":399087,"journal":{"name":"2019 42nd International Conference on Telecommunications and Signal Processing (TSP)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115919931","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 : 2019-07-01DOI: 10.1109/TSP.2019.8768811
V. Oujezský, David Chapcak, T. Horváth, P. Munster
This article presents results and overview of conducted testing of active optical network devices. The base for the testing is originating in Kali Linux and penetration testing generally. The goal of tests is to either confirm or disprove a vulnerability of devices used in the tested polygon. The first part deals with general overview and topology of testing devices, the next part is dedicated to active and passive exploration and exploits. The last part provides a summary of the results.
{"title":"Security Testing Of Active Optical Network Devices","authors":"V. Oujezský, David Chapcak, T. Horváth, P. Munster","doi":"10.1109/TSP.2019.8768811","DOIUrl":"https://doi.org/10.1109/TSP.2019.8768811","url":null,"abstract":"This article presents results and overview of conducted testing of active optical network devices. The base for the testing is originating in Kali Linux and penetration testing generally. The goal of tests is to either confirm or disprove a vulnerability of devices used in the tested polygon. The first part deals with general overview and topology of testing devices, the next part is dedicated to active and passive exploration and exploits. The last part provides a summary of the results.","PeriodicalId":399087,"journal":{"name":"2019 42nd International Conference on Telecommunications and Signal Processing (TSP)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114822035","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 : 2019-07-01DOI: 10.1109/TSP.2019.8769106
J. Petrzela, Ondrej Domansky
This paper demonstrates through computer-aided simulations that simple loop composed of single nonlinear active two-port and a fractional-order filter can generate robust chaotic attractor. Involved passive ladder trans-impedance mode filter contains two-terminal constant phase element that is accurately approximated in the frequency domain in wide frequency range; beginning at 10 Hz and ending with 1 MHz. It is shown that the mathematical order of a designed lumped chaotic system can be decreased significantly below 3 without qualitative changes in the global dynamics. Fundamental properties of the filtering network responsible for chaos evolution are specified and discussed.
{"title":"Simple Chaotic Oscillator with Wideband Passive Fractional-Order Inductor","authors":"J. Petrzela, Ondrej Domansky","doi":"10.1109/TSP.2019.8769106","DOIUrl":"https://doi.org/10.1109/TSP.2019.8769106","url":null,"abstract":"This paper demonstrates through computer-aided simulations that simple loop composed of single nonlinear active two-port and a fractional-order filter can generate robust chaotic attractor. Involved passive ladder trans-impedance mode filter contains two-terminal constant phase element that is accurately approximated in the frequency domain in wide frequency range; beginning at 10 Hz and ending with 1 MHz. It is shown that the mathematical order of a designed lumped chaotic system can be decreased significantly below 3 without qualitative changes in the global dynamics. Fundamental properties of the filtering network responsible for chaos evolution are specified and discussed.","PeriodicalId":399087,"journal":{"name":"2019 42nd International Conference on Telecommunications and Signal Processing (TSP)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115095030","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 : 2019-07-01DOI: 10.1109/TSP.2019.8768842
Alexandru-George Rusu, S. Ciochină, C. Paleologu
The least-mean-square (LMS) and the normalized least-mean-square (NLMS) algorithms require a trade-off between fast convergence and low misadjustment, obtained by choosing the control parameters. In general, time variable parameters are proposed according to different rules. Many studies on the optimization of the NLMS algorithm imply time variable control parameters according some specific criteria. In this paper, we develop an optimized LMS algorithm, in the context of a state variable model. The proposed algorithm follows an optimization problem and introduces a variable step-size in order to minimize the system misalignment. The simulations confirm the theoretical results and show the good features of the algorithm.
{"title":"On the Step-Size optimization of the LMS Algorithm","authors":"Alexandru-George Rusu, S. Ciochină, C. Paleologu","doi":"10.1109/TSP.2019.8768842","DOIUrl":"https://doi.org/10.1109/TSP.2019.8768842","url":null,"abstract":"The least-mean-square (LMS) and the normalized least-mean-square (NLMS) algorithms require a trade-off between fast convergence and low misadjustment, obtained by choosing the control parameters. In general, time variable parameters are proposed according to different rules. Many studies on the optimization of the NLMS algorithm imply time variable control parameters according some specific criteria. In this paper, we develop an optimized LMS algorithm, in the context of a state variable model. The proposed algorithm follows an optimization problem and introduces a variable step-size in order to minimize the system misalignment. The simulations confirm the theoretical results and show the good features of the algorithm.","PeriodicalId":399087,"journal":{"name":"2019 42nd International Conference on Telecommunications and Signal Processing (TSP)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121714685","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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