Pub Date : 2019-11-01DOI: 10.1109/EnT47717.2019.9030546
T. Tran, M. Prokopchuk, A. Dvorkovich
In wireless ground-based information transmission systems the multipath signal propagation is a significant factor affecting the correct determination of the radio signal parameters and, as a consequence, its successful decoding. In this paper, we investigate a method for reconstructing the channel characteristic based on approaches of the theory of potential noise immunity. An algorithm that implements this method was used to for modeling to restore the static channel characteristic with additive white Gaussian noise (AWGN). The most attractive task from the point of view of evaluating the practical application of the method is to restore the characteristic of the quasi-stationary channel. The simulation results allow us to talk about the prospects of the considered method for use in real ground-based information transmission systems.
{"title":"Study of channel response estimation method based on theory of optimum noise immunity","authors":"T. Tran, M. Prokopchuk, A. Dvorkovich","doi":"10.1109/EnT47717.2019.9030546","DOIUrl":"https://doi.org/10.1109/EnT47717.2019.9030546","url":null,"abstract":"In wireless ground-based information transmission systems the multipath signal propagation is a significant factor affecting the correct determination of the radio signal parameters and, as a consequence, its successful decoding. In this paper, we investigate a method for reconstructing the channel characteristic based on approaches of the theory of potential noise immunity. An algorithm that implements this method was used to for modeling to restore the static channel characteristic with additive white Gaussian noise (AWGN). The most attractive task from the point of view of evaluating the practical application of the method is to restore the characteristic of the quasi-stationary channel. The simulation results allow us to talk about the prospects of the considered method for use in real ground-based information transmission systems.","PeriodicalId":288550,"journal":{"name":"2019 International Conference on Engineering and Telecommunication (EnT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115605576","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 : 2019-11-01DOI: 10.1109/EnT47717.2019.9030558
D. Parfenov, L. Zabrodina, A. Zhigalov, V. Torchin, Anton Parfenov
This study is aimed at building a model of attack detection based on the analysis of chains of states of network nodes. The proposed model allows us to determine the speed and acceleration of state change for a particular type of network attack at a given time. On the basis of the revealed patterns of changes in the States of network nodes, the study of chains of network events to identify the type of attacks. As part of the experimental study, the effectiveness of the developed model of attack recognition in the network of telecommunications service providers was evaluated, which shows a sufficiently high accuracy of determining the class of suspicious activity.
{"title":"Investigation of the Method for Identifying Cyberattacks Based on Analysis of the State of Network Nodes","authors":"D. Parfenov, L. Zabrodina, A. Zhigalov, V. Torchin, Anton Parfenov","doi":"10.1109/EnT47717.2019.9030558","DOIUrl":"https://doi.org/10.1109/EnT47717.2019.9030558","url":null,"abstract":"This study is aimed at building a model of attack detection based on the analysis of chains of states of network nodes. The proposed model allows us to determine the speed and acceleration of state change for a particular type of network attack at a given time. On the basis of the revealed patterns of changes in the States of network nodes, the study of chains of network events to identify the type of attacks. As part of the experimental study, the effectiveness of the developed model of attack recognition in the network of telecommunications service providers was evaluated, which shows a sufficiently high accuracy of determining the class of suspicious activity.","PeriodicalId":288550,"journal":{"name":"2019 International Conference on Engineering and Telecommunication (EnT)","volume":"508 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117037525","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 : 2019-11-01DOI: 10.1109/EnT47717.2019.9030600
V. Burov, A. A. Kuzin, A. V. Myakinkov, A. D. Pluzhnikov, A. G. Ryndyk, R. S. Fadeev, S. Shabalin, P. Rogov
The article is devoted to the analysis of currently used and prospective technologies of automotive radar design for intelligent driver assistance systems. The questions related to the realization of the main radar nodes (antenna system, high frequency transceiver modules, systems of the digital signal processing and trajectory target tracking) are considered. The result of this analysis is formulation of the main challenges for domestic companies attempting to develop and fabricate such devices. The results of developing and testing of the radar in 24 GHz range are also presented.
{"title":"Development of the Automotive Radar for the Systems of Adaptive Cruise Control and Automatic Emergency Breaking","authors":"V. Burov, A. A. Kuzin, A. V. Myakinkov, A. D. Pluzhnikov, A. G. Ryndyk, R. S. Fadeev, S. Shabalin, P. Rogov","doi":"10.1109/EnT47717.2019.9030600","DOIUrl":"https://doi.org/10.1109/EnT47717.2019.9030600","url":null,"abstract":"The article is devoted to the analysis of currently used and prospective technologies of automotive radar design for intelligent driver assistance systems. The questions related to the realization of the main radar nodes (antenna system, high frequency transceiver modules, systems of the digital signal processing and trajectory target tracking) are considered. The result of this analysis is formulation of the main challenges for domestic companies attempting to develop and fabricate such devices. The results of developing and testing of the radar in 24 GHz range are also presented.","PeriodicalId":288550,"journal":{"name":"2019 International Conference on Engineering and Telecommunication (EnT)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121221258","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 : 2019-11-01DOI: 10.1109/EnT47717.2019.9030570
Portnov Evgeni Mikalovich, A. Myo, Anisimov Andrey Anatolevich
At present, the problem of protection measures against distortions of measured and calculated parameters by signals, corresponding to the third harmonic of the main frequency is quite acute, it being the main parasitic signal entering the distribution networks. The purpose of this study is to develop a method for reducing distortions caused by the third harmonic frequency in distribution networks. This is achieved by the fact that each half of the period of the frequencies of the electrical network is additionally determined by the time corresponding to 5/6, 4/6, 3/6, 2/6, 1/6 of its part. We can measure the value of the measured signal at each additional time, sum up the values obtained in the main and additional moments in n adjacent halves of the period, calculate the average amplitude value of the signal for n adjacent half periods and the average amplitude value of the measured signal is obtained by dividing the received value by the coefficient equaled to 1+$sqrt{3}$/2+1/2.
{"title":"Development of the Method for Reducing Distortions Associated with the Parasitic Third Harmonic of Voltage Frequency of the Electrical Network","authors":"Portnov Evgeni Mikalovich, A. Myo, Anisimov Andrey Anatolevich","doi":"10.1109/EnT47717.2019.9030570","DOIUrl":"https://doi.org/10.1109/EnT47717.2019.9030570","url":null,"abstract":"At present, the problem of protection measures against distortions of measured and calculated parameters by signals, corresponding to the third harmonic of the main frequency is quite acute, it being the main parasitic signal entering the distribution networks. The purpose of this study is to develop a method for reducing distortions caused by the third harmonic frequency in distribution networks. This is achieved by the fact that each half of the period of the frequencies of the electrical network is additionally determined by the time corresponding to 5/6, 4/6, 3/6, 2/6, 1/6 of its part. We can measure the value of the measured signal at each additional time, sum up the values obtained in the main and additional moments in n adjacent halves of the period, calculate the average amplitude value of the signal for n adjacent half periods and the average amplitude value of the measured signal is obtained by dividing the received value by the coefficient equaled to 1+$sqrt{3}$/2+1/2.","PeriodicalId":288550,"journal":{"name":"2019 International Conference on Engineering and Telecommunication (EnT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128057355","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 : 2019-11-01DOI: 10.1109/EnT47717.2019.9030581
V. Gavrilin, A. Shishlov, Y. Krivosheev
In this work optimal ratio of reflector ratio f/D and feed array spacing in focusing type array-fed reflector antenna (AFR) with single offset parabolic reflector is determined. In order to maximize aperture efficiency factor (AEF) of antenna, the ratio f/D is varied at several values of array spacing. The procedure is implemented for different number of excited elements in a cluster and different beam scan angle. For each antenna configuration aperture efficiency factor and element use efficiency (EUE) are calculated. It is shown that optimal feed array spacing increases with increase of f/D, and these values are connected. Also, it is shown that there is an optimal ratio between aperture efficiency and element use efficiency.
{"title":"Optimal ratio of array spacing and reflector focal length in array-fed reflector antenna","authors":"V. Gavrilin, A. Shishlov, Y. Krivosheev","doi":"10.1109/EnT47717.2019.9030581","DOIUrl":"https://doi.org/10.1109/EnT47717.2019.9030581","url":null,"abstract":"In this work optimal ratio of reflector ratio f/D and feed array spacing in focusing type array-fed reflector antenna (AFR) with single offset parabolic reflector is determined. In order to maximize aperture efficiency factor (AEF) of antenna, the ratio f/D is varied at several values of array spacing. The procedure is implemented for different number of excited elements in a cluster and different beam scan angle. For each antenna configuration aperture efficiency factor and element use efficiency (EUE) are calculated. It is shown that optimal feed array spacing increases with increase of f/D, and these values are connected. Also, it is shown that there is an optimal ratio between aperture efficiency and element use efficiency.","PeriodicalId":288550,"journal":{"name":"2019 International Conference on Engineering and Telecommunication (EnT)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134185757","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 : 2019-11-01DOI: 10.1109/EnT47717.2019.9030548
A. Novoselov, O. Dyakov, I. Kostromin, D. Pogibelskiy
Precise object detection is one of important task in computer vision. Recent achievements in convolutional neural networks open possibilities to detect objects with precision close to humans. However, current neural networks struggles to detect objects with large difference in scale. In this report proposed approach to process high-resolution images by same neural network multiple times with decreasing resolution in cascade way to enhance scale range of network pre-trained on typical dataset. Combined result of object detection of all passes processed by non-maximal suppression algorithm. Proposed approach demonstrated on Yolo3 network trained on COCO dataset. Scale range of network and upper size limit for detected object are estimated, scale technique for cascade decreasing resolution proposed.
{"title":"Cascade multi-scale object detection on high-resolution images","authors":"A. Novoselov, O. Dyakov, I. Kostromin, D. Pogibelskiy","doi":"10.1109/EnT47717.2019.9030548","DOIUrl":"https://doi.org/10.1109/EnT47717.2019.9030548","url":null,"abstract":"Precise object detection is one of important task in computer vision. Recent achievements in convolutional neural networks open possibilities to detect objects with precision close to humans. However, current neural networks struggles to detect objects with large difference in scale. In this report proposed approach to process high-resolution images by same neural network multiple times with decreasing resolution in cascade way to enhance scale range of network pre-trained on typical dataset. Combined result of object detection of all passes processed by non-maximal suppression algorithm. Proposed approach demonstrated on Yolo3 network trained on COCO dataset. Scale range of network and upper size limit for detected object are estimated, scale technique for cascade decreasing resolution proposed.","PeriodicalId":288550,"journal":{"name":"2019 International Conference on Engineering and Telecommunication (EnT)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134450237","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 : 2019-11-01DOI: 10.1109/EnT47717.2019.9030589
N. Chervyakov, P. Lyakhov, A. Orazaev, M. Valueva
The paper proposes a new method of impulse noise filtering for video data processing. The method is based on the combined use of iterative processing and transformation of the result of median filtering based on the Lorentz distribution. The experimental part of the paper presents the results of comparing the quality of the proposed method with known analogs. Video distorted by impulse noise with pixel distortion probabilities from 1% to 99% inclusive was used for the simulation. Numerical assessment of the quality of cleaning video data from noise based on the peak signal-to-noise ratio (PSNR) showed that the proposed method shows the best result of processing in most considered cases, compared with the known analogs. The results obtained in the paper can be used in practical applications of digital video processing, for example, in systems of video surveillance, identification systems and control of industrial processes.
{"title":"A New Method of Cleaning Video from Impulse Noise","authors":"N. Chervyakov, P. Lyakhov, A. Orazaev, M. Valueva","doi":"10.1109/EnT47717.2019.9030589","DOIUrl":"https://doi.org/10.1109/EnT47717.2019.9030589","url":null,"abstract":"The paper proposes a new method of impulse noise filtering for video data processing. The method is based on the combined use of iterative processing and transformation of the result of median filtering based on the Lorentz distribution. The experimental part of the paper presents the results of comparing the quality of the proposed method with known analogs. Video distorted by impulse noise with pixel distortion probabilities from 1% to 99% inclusive was used for the simulation. Numerical assessment of the quality of cleaning video data from noise based on the peak signal-to-noise ratio (PSNR) showed that the proposed method shows the best result of processing in most considered cases, compared with the known analogs. The results obtained in the paper can be used in practical applications of digital video processing, for example, in systems of video surveillance, identification systems and control of industrial processes.","PeriodicalId":288550,"journal":{"name":"2019 International Conference on Engineering and Telecommunication (EnT)","volume":"63 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132986484","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 : 2019-11-01DOI: 10.1109/EnT47717.2019.9030560
Hasan Koyuncu
In detection of Parkinson’s disease (PD), voice recordings are frequently appealed to reveal whether disease is available or not. The features extracted from these recordings are utilized as the input of classification methods. Herein, binary classification of features gains importance to accurately perform the PD detection. In this paper, we perform the classification of two well-known PD datasets including the features attained by recordings. Efficient hybrid classifiers are formed using the state-of-the-art optimization algorithms originated from particle swarm optimization (PSO). As an efficient classifier, neural network (NN) is determined as the main part of hybrid architecture. Sine map based chaotic PSO (SM-CPSO), dynamic weight PSO (DWPSO) and chaotic dynamic weight PSO (CDW-PSO) are considered to compare with Gauss map based CPSO (GMCPSO) on formation of hybrid classifiers and on classification of PD. For a detailed assessment, seven metrics (accuracy, AUC, sensitivity, specificity, g-mean, precision, f-measure) based comparison is realized, and 2-fold cross validation is handled to test the system. According to the results, GM-CPSO-NN achieves to remarkable performance among other hybrid methods and also outperforms to the recent literature studies. Consequently, a comprehensive study about PD recognition is realized, and a detailed comparison of hybrid NNs is presented on pattern classification.
{"title":"Parkinson’s Disease Recognition using Gauss Map based Chaotic Particle Swarm-Neural Network","authors":"Hasan Koyuncu","doi":"10.1109/EnT47717.2019.9030560","DOIUrl":"https://doi.org/10.1109/EnT47717.2019.9030560","url":null,"abstract":"In detection of Parkinson’s disease (PD), voice recordings are frequently appealed to reveal whether disease is available or not. The features extracted from these recordings are utilized as the input of classification methods. Herein, binary classification of features gains importance to accurately perform the PD detection. In this paper, we perform the classification of two well-known PD datasets including the features attained by recordings. Efficient hybrid classifiers are formed using the state-of-the-art optimization algorithms originated from particle swarm optimization (PSO). As an efficient classifier, neural network (NN) is determined as the main part of hybrid architecture. Sine map based chaotic PSO (SM-CPSO), dynamic weight PSO (DWPSO) and chaotic dynamic weight PSO (CDW-PSO) are considered to compare with Gauss map based CPSO (GMCPSO) on formation of hybrid classifiers and on classification of PD. For a detailed assessment, seven metrics (accuracy, AUC, sensitivity, specificity, g-mean, precision, f-measure) based comparison is realized, and 2-fold cross validation is handled to test the system. According to the results, GM-CPSO-NN achieves to remarkable performance among other hybrid methods and also outperforms to the recent literature studies. Consequently, a comprehensive study about PD recognition is realized, and a detailed comparison of hybrid NNs is presented on pattern classification.","PeriodicalId":288550,"journal":{"name":"2019 International Conference on Engineering and Telecommunication (EnT)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122385329","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 : 2019-11-01DOI: 10.1109/EnT47717.2019.9030587
D. Mamaeva, M. Afanasev, Vitaliy Bakshaev, Mark S. Kliachin
The brief analysis of existing indoor navigation tools revealed that all of them are suboptimal, in the context of the topic under consideration. The new action is discussed and presented: a method for indoor navigation using QR codes. These are used not only for positioning, but also for accompanying users along the route.
{"title":"A multi-functional method of QR code used during the process of indoor navigation","authors":"D. Mamaeva, M. Afanasev, Vitaliy Bakshaev, Mark S. Kliachin","doi":"10.1109/EnT47717.2019.9030587","DOIUrl":"https://doi.org/10.1109/EnT47717.2019.9030587","url":null,"abstract":"The brief analysis of existing indoor navigation tools revealed that all of them are suboptimal, in the context of the topic under consideration. The new action is discussed and presented: a method for indoor navigation using QR codes. These are used not only for positioning, but also for accompanying users along the route.","PeriodicalId":288550,"journal":{"name":"2019 International Conference on Engineering and Telecommunication (EnT)","volume":"66 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114043431","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 : 2019-11-01DOI: 10.1109/EnT47717.2019.9030586
V. Ermolayev, A. Flaksman, O. Shmonin
In this paper we consider the issue of applying virtual antenna array conception for MIMO (Multiple-Input Multiple-Output) radar influenced by ground reflection. Two virtual antenna array criteria are formulated and theoretically analyzed. Based on these criteria antenna configuration restrictions are obtained and proved. Also two rules for transmitting and receiving elements location are presented.
{"title":"Antenna Configuration Restrictions for MIMO Radar Influenced by Ground Reflections","authors":"V. Ermolayev, A. Flaksman, O. Shmonin","doi":"10.1109/EnT47717.2019.9030586","DOIUrl":"https://doi.org/10.1109/EnT47717.2019.9030586","url":null,"abstract":"In this paper we consider the issue of applying virtual antenna array conception for MIMO (Multiple-Input Multiple-Output) radar influenced by ground reflection. Two virtual antenna array criteria are formulated and theoretically analyzed. Based on these criteria antenna configuration restrictions are obtained and proved. Also two rules for transmitting and receiving elements location are presented.","PeriodicalId":288550,"journal":{"name":"2019 International Conference on Engineering and Telecommunication (EnT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125446577","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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