Pub Date : 2019-11-01DOI: 10.1109/EnT47717.2019.9030555
Changyong Pan, Chao Zhang, Hui Yang, Jintao Wang, Xunchun Li
Digital terrestrial/television multimedia broadcasting - advanced (DTMB-A), the new generation of digital terrestrial television broadcasting (DTTB) system proposed by China, has been officially accepted by the International Telecommunication Union (ITU) as the international DTTB standard in 2015. Compared with DTMB standard, DTMB-A has higher spectrum efficiency, stronger robustness and more flexible system parameter combinations. In August 2019, at the invitation of Television Broadcasts Limited (TVB), Tsinghua University organized the field trials to evaluate the coverage effect of DTMB-A in Hong Kong. By setting up the single frequency network (SFN) with 3 transmitting stations, 4K UHDTV program can be transmitted by DTMB-A effectively. In this paper, the DTMB-A SFN structure and measurement results in Hong Kong are analyzed in detail.
{"title":"Results of the DTMB-A Field Trials in Hong Kong","authors":"Changyong Pan, Chao Zhang, Hui Yang, Jintao Wang, Xunchun Li","doi":"10.1109/EnT47717.2019.9030555","DOIUrl":"https://doi.org/10.1109/EnT47717.2019.9030555","url":null,"abstract":"Digital terrestrial/television multimedia broadcasting - advanced (DTMB-A), the new generation of digital terrestrial television broadcasting (DTTB) system proposed by China, has been officially accepted by the International Telecommunication Union (ITU) as the international DTTB standard in 2015. Compared with DTMB standard, DTMB-A has higher spectrum efficiency, stronger robustness and more flexible system parameter combinations. In August 2019, at the invitation of Television Broadcasts Limited (TVB), Tsinghua University organized the field trials to evaluate the coverage effect of DTMB-A in Hong Kong. By setting up the single frequency network (SFN) with 3 transmitting stations, 4K UHDTV program can be transmitted by DTMB-A effectively. In this paper, the DTMB-A SFN structure and measurement results in Hong Kong are analyzed in detail.","PeriodicalId":288550,"journal":{"name":"2019 International Conference on Engineering and Telecommunication (EnT)","volume":"1 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":"122931797","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/EnT47717.2019.9030545
Aneesh Epari, V. Chaurasiya, Shishupal Kumar
People waste a lot of time in searching for a roadside parking space, especially in busy areas like the marketplace. In addition to wastage of time, it causes extra congestion on the road as vehicles which were supposed to be parked are still roaming on the roads, consequently extra pollution, and most importantly stress and inconvenience to the driver. To address these issues, a framework is proposed to provide assistance to drivers in searching for a roadside parking place. Instead of providing direction to one parking area, which is not feasible as roadside parking areas do not have reservation facilities, this framework will suggest a series of options (basically routes) for the driver to follow. The approach uses ant colony optimization to tackle the computationally challenging task. The algorithm tries to suggest a route which is not only close to the drivers location but also avoids areas of congestion if possible. The proposed approach is simulated using SUMO simulator suite. The proposed routing approach has been compared with the random routing approach using different metrics and the results show that the proposed approach performs significantly better than the random approach.
{"title":"Roadside Parking Space Search and Assistance System for Modern Cities","authors":"Aneesh Epari, V. Chaurasiya, Shishupal Kumar","doi":"10.1109/EnT47717.2019.9030545","DOIUrl":"https://doi.org/10.1109/EnT47717.2019.9030545","url":null,"abstract":"People waste a lot of time in searching for a roadside parking space, especially in busy areas like the marketplace. In addition to wastage of time, it causes extra congestion on the road as vehicles which were supposed to be parked are still roaming on the roads, consequently extra pollution, and most importantly stress and inconvenience to the driver. To address these issues, a framework is proposed to provide assistance to drivers in searching for a roadside parking place. Instead of providing direction to one parking area, which is not feasible as roadside parking areas do not have reservation facilities, this framework will suggest a series of options (basically routes) for the driver to follow. The approach uses ant colony optimization to tackle the computationally challenging task. The algorithm tries to suggest a route which is not only close to the drivers location but also avoids areas of congestion if possible. The proposed approach is simulated using SUMO simulator suite. The proposed routing approach has been compared with the random routing approach using different metrics and the results show that the proposed approach performs significantly better than the random approach.","PeriodicalId":288550,"journal":{"name":"2019 International Conference on Engineering and Telecommunication (EnT)","volume":"2013 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":"129690202","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/EnT47717.2019.9030556
Y. Ushakov, P. Polezhaev, A. Konnov, M. Ushakova, A. Shukhman
All modern browsers began to support WebRTC technology, many video conferencing systems switched to WebRTC as the main technology. But there are problems to control the quality of voice and video, especially in multipoint conferences, where there is no time to control each participant and there is no way to quickly reconnect some participants. The paper is devoted to the possibility of automatic quality control of perception on the client side of both audio and video streams for the operational solution of WebRTC transmission problems.
{"title":"WebRTC quality improvement in the learning multipoint video conference","authors":"Y. Ushakov, P. Polezhaev, A. Konnov, M. Ushakova, A. Shukhman","doi":"10.1109/EnT47717.2019.9030556","DOIUrl":"https://doi.org/10.1109/EnT47717.2019.9030556","url":null,"abstract":"All modern browsers began to support WebRTC technology, many video conferencing systems switched to WebRTC as the main technology. But there are problems to control the quality of voice and video, especially in multipoint conferences, where there is no time to control each participant and there is no way to quickly reconnect some participants. The paper is devoted to the possibility of automatic quality control of perception on the client side of both audio and video streams for the operational solution of WebRTC transmission problems.","PeriodicalId":288550,"journal":{"name":"2019 International Conference on Engineering and Telecommunication (EnT)","volume":"40 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":"124598881","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/EnT47717.2019.9030539
L. Medova, P. Rybin, I. V. Filatov
In this paper we propose a simulation system for LDPC codes implemented on a field-programmable gate array device. The presented system includes an LDPC encoder, Gaussian noise generator and an LDPC decoder. An LDPC encoder and decoder are fully flexible and support different constructions of LDPC codes. It makes possible to obtain performance curves of a large number of LDPC codes and analyse their properties. We have found that the LDPC code proposed in [1] has an error floor higher than the LDPC code proposed by the experimental specification CCSDS 231.1-O-l. We have evaluated the performance of 2250 (128,256) LDPC codes with our simulation system and have found an LDPC code that outperforms the LDPC code from the experimental specification CCSDS 231.1-O-l.
本文提出了一种在现场可编程门阵列器件上实现LDPC码的仿真系统。该系统包括LDPC编码器、高斯噪声发生器和LDPC解码器。LDPC编码器和解码器是完全灵活的，并支持不同结构的LDPC码。这使得获得大量LDPC码的性能曲线和分析其性能成为可能。我们发现[1]中提出的LDPC码的误差层高于实验规范CCSDS 231.1- o - 1提出的LDPC码。我们已经用我们的仿真系统评估了2250 (128,256)LDPC代码的性能，并发现了一个LDPC代码优于实验规范CCSDS 231.1- o - 1中的LDPC代码。
{"title":"On the Error Floor of the Code-Candidate for CCSDS Standard","authors":"L. Medova, P. Rybin, I. V. Filatov","doi":"10.1109/EnT47717.2019.9030539","DOIUrl":"https://doi.org/10.1109/EnT47717.2019.9030539","url":null,"abstract":"In this paper we propose a simulation system for LDPC codes implemented on a field-programmable gate array device. The presented system includes an LDPC encoder, Gaussian noise generator and an LDPC decoder. An LDPC encoder and decoder are fully flexible and support different constructions of LDPC codes. It makes possible to obtain performance curves of a large number of LDPC codes and analyse their properties. We have found that the LDPC code proposed in [1] has an error floor higher than the LDPC code proposed by the experimental specification CCSDS 231.1-O-l. We have evaluated the performance of 2250 (128,256) LDPC codes with our simulation system and have found an LDPC code that outperforms the LDPC code from the experimental specification CCSDS 231.1-O-l.","PeriodicalId":288550,"journal":{"name":"2019 International Conference on Engineering and Telecommunication (EnT)","volume":"93 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":"124094712","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/EnT47717.2019.9030568
Wenjing Zhao, He Li, Minglu Jin, S. Yoo
Energy detection (ED) method for spectrum sensing does not require any information of the source signal and channel, as well as it is suitable for detecting independent identically distributed signals. Covariance matrix catches the signal correlations and the maximum eigenvalue detection (MED) method is better than the ED for correlated signals. In this paper, taking the advantages of the two algorithms, a combined method of the maximum eigenvalue and energy of the signal is proposed to achieve detection performance improvements. The proposed method is a generalization of the ED and MED methods, which takes the ED and MED algorithms as special cases. The theoretical analysis on detection probability, false alarm probability and threshold are given, and the optimum parameter selection of the proposed method is discussed. Finally, simulation results show the effectiveness of the proposed algorithm.
{"title":"Maximum Eigenvalue and Energy Combined Spectrum Sensing Algorithm","authors":"Wenjing Zhao, He Li, Minglu Jin, S. Yoo","doi":"10.1109/EnT47717.2019.9030568","DOIUrl":"https://doi.org/10.1109/EnT47717.2019.9030568","url":null,"abstract":"Energy detection (ED) method for spectrum sensing does not require any information of the source signal and channel, as well as it is suitable for detecting independent identically distributed signals. Covariance matrix catches the signal correlations and the maximum eigenvalue detection (MED) method is better than the ED for correlated signals. In this paper, taking the advantages of the two algorithms, a combined method of the maximum eigenvalue and energy of the signal is proposed to achieve detection performance improvements. The proposed method is a generalization of the ED and MED methods, which takes the ED and MED algorithms as special cases. The theoretical analysis on detection probability, false alarm probability and threshold are given, and the optimum parameter selection of the proposed method is discussed. Finally, simulation results show the effectiveness of the proposed algorithm.","PeriodicalId":288550,"journal":{"name":"2019 International Conference on Engineering and Telecommunication (EnT)","volume":"33 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":"122260908","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/EnT47717.2019.9030588
I. Vylegzhanin, B. Vovshin, Olga Vylegzhanina, A. Pushkov
The article is devoted to solving the task of classifying targets in radar observations. A technique for recognizing target classes based on fuzzy logic algorithms is proposed. The results of recognition of four classes of targets (UAVs, birds, helicopters, airplanes) in detection and tracking radar are presented.
{"title":"Fuzzy Logic Alghorithms for Target Classification in Radar Observations.","authors":"I. Vylegzhanin, B. Vovshin, Olga Vylegzhanina, A. Pushkov","doi":"10.1109/EnT47717.2019.9030588","DOIUrl":"https://doi.org/10.1109/EnT47717.2019.9030588","url":null,"abstract":"The article is devoted to solving the task of classifying targets in radar observations. A technique for recognizing target classes based on fuzzy logic algorithms is proposed. The results of recognition of four classes of targets (UAVs, birds, helicopters, airplanes) in detection and tracking radar are presented.","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":"132281376","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/EnT47717.2019.9030537
Nikolai E. Gaiduchenko, P. Gritsyk
This paper proposes a Hypersonic Convolutional Neural Network (HCNN) for hypersonic aircraft classification based on a vehicle flight path. The experiments on synthetic data show that HCNN has a high-resolution of identification capability on three types of targets (ballistic missile, hypersonic glide vehicle, hypersonic cruise missile) even in conditions of increased measuring errors, increased time step, and with no preliminary primary data processing. Moreover, one can easily adjust the proposed network for discrimination of an enlarged number of vehicle types.
{"title":"Hypersonic Vehicle Trajectory Classification Using Convolutional Neural Network","authors":"Nikolai E. Gaiduchenko, P. Gritsyk","doi":"10.1109/EnT47717.2019.9030537","DOIUrl":"https://doi.org/10.1109/EnT47717.2019.9030537","url":null,"abstract":"This paper proposes a Hypersonic Convolutional Neural Network (HCNN) for hypersonic aircraft classification based on a vehicle flight path. The experiments on synthetic data show that HCNN has a high-resolution of identification capability on three types of targets (ballistic missile, hypersonic glide vehicle, hypersonic cruise missile) even in conditions of increased measuring errors, increased time step, and with no preliminary primary data processing. Moreover, one can easily adjust the proposed network for discrimination of an enlarged number of vehicle types.","PeriodicalId":288550,"journal":{"name":"2019 International Conference on Engineering and Telecommunication (EnT)","volume":"68 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":"127225734","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/EnT47717.2019.9030590
Anatoly Bobe, Grigory Rashkov, M. Komarova, Dmitry Fastovets
This paper describes an application dedicated to noninvasive electroencephalography (EEG) signal processing and recognition. The goal of the designed software is to provide endto-end support for brain-computer interface (BCI) routines including data acquisition, signal filtering and preprocessing, feature extraction, classification and subject feedback. The software is supplied with a large number of data processing tools including ready-to-use machine learning and deep learning techniques. The real-time processing mode is also implemented.
{"title":"Portal: A user-friendly environment for BCI models training","authors":"Anatoly Bobe, Grigory Rashkov, M. Komarova, Dmitry Fastovets","doi":"10.1109/EnT47717.2019.9030590","DOIUrl":"https://doi.org/10.1109/EnT47717.2019.9030590","url":null,"abstract":"This paper describes an application dedicated to noninvasive electroencephalography (EEG) signal processing and recognition. The goal of the designed software is to provide endto-end support for brain-computer interface (BCI) routines including data acquisition, signal filtering and preprocessing, feature extraction, classification and subject feedback. The software is supplied with a large number of data processing tools including ready-to-use machine learning and deep learning techniques. The real-time processing mode is also implemented.","PeriodicalId":288550,"journal":{"name":"2019 International Conference on Engineering and Telecommunication (EnT)","volume":"11 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":"124815516","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/EnT47717.2019.9030594
I. Vylegzhanin, B. Vovshin, D.Yu. Gavrilov
The article is devoted to the analysis of adaptive devices of moving target indication which are intended for clutter protection. For adaptive systems of interperiod processing the theoretical principles of construction based on adaptive whitening filters are shown. A semi-natural experiment was carried out, which allowed comparing the effectiveness of target detection in the same conditions with the use of non-adaptive and adaptive types of such devices. On the basis of theoretical and experimental data, conclusions have been drawn about the effectiveness of using adaptive systems of moving target indication
{"title":"Adaptive clutter protection of impulse radars.","authors":"I. Vylegzhanin, B. Vovshin, D.Yu. Gavrilov","doi":"10.1109/EnT47717.2019.9030594","DOIUrl":"https://doi.org/10.1109/EnT47717.2019.9030594","url":null,"abstract":"The article is devoted to the analysis of adaptive devices of moving target indication which are intended for clutter protection. For adaptive systems of interperiod processing the theoretical principles of construction based on adaptive whitening filters are shown. A semi-natural experiment was carried out, which allowed comparing the effectiveness of target detection in the same conditions with the use of non-adaptive and adaptive types of such devices. On the basis of theoretical and experimental data, conclusions have been drawn about the effectiveness of using adaptive systems of moving target indication","PeriodicalId":288550,"journal":{"name":"2019 International Conference on Engineering and Telecommunication (EnT)","volume":"3 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":"131950516","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/EnT47717.2019.9030591
Gorchakov Andrei, M. Vyacheslav
Kolmogorov and Arnold proved that any real continuous bounded function of many variables can be represented as a superposition of functions of one variable and addition. In subsequent works by Neht-Nielsen, it was shown that such a specific type of superposition can be interpreted as a two-layer forward neural network. Such a superposition can also be used as a universal approximation of the function of many variables. In the work, one of the variants of numerical implementation of Kolmogorov’s superposition, proposed by Sprecher and modified by Koppen, was investigated. In addition, the functions of the first layer were considered as a generator of space-filling curves (Peano curves). Numerical experiments were conducted to study the accuracy of the approximation of the function of many variables for the numerical implementation of Kolmogorov’s superposition, proposed by Sprecher and modified by Koppen, for a simplified version of this superposition and for an approach using filling curves. A comparative analysis showed that the best results are obtained using space-filling curves.
{"title":"Analysis of approaches to the universal approximation of a continuous function using Kolmogorov’s superposition","authors":"Gorchakov Andrei, M. Vyacheslav","doi":"10.1109/EnT47717.2019.9030591","DOIUrl":"https://doi.org/10.1109/EnT47717.2019.9030591","url":null,"abstract":"Kolmogorov and Arnold proved that any real continuous bounded function of many variables can be represented as a superposition of functions of one variable and addition. In subsequent works by Neht-Nielsen, it was shown that such a specific type of superposition can be interpreted as a two-layer forward neural network. Such a superposition can also be used as a universal approximation of the function of many variables. In the work, one of the variants of numerical implementation of Kolmogorov’s superposition, proposed by Sprecher and modified by Koppen, was investigated. In addition, the functions of the first layer were considered as a generator of space-filling curves (Peano curves). Numerical experiments were conducted to study the accuracy of the approximation of the function of many variables for the numerical implementation of Kolmogorov’s superposition, proposed by Sprecher and modified by Koppen, for a simplified version of this superposition and for an approach using filling curves. A comparative analysis showed that the best results are obtained using space-filling curves.","PeriodicalId":288550,"journal":{"name":"2019 International Conference on Engineering and Telecommunication (EnT)","volume":"54 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":"123683269","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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