2687-0517 11 3 2018 1-76

RAR RUS 7-19 Bonch-Bruevich St. Petersburg State University of Telecommunications Yartsev Sergey s.yartsev@gmail.com

St. Petersburg, Russian Federation

D-5155-2014 6507253900 0000-0003-3976-2971 Higher School of Economics Yevgeni A. ykoucheryavy@hse.ru

Korkeakoulunkatu 10, FI-33720 Tampere Finland

Bonch-Bruevich St. Petersburg State University of Telecommunications Vladyko Andrei vladyko@sut.ru

St. Petersburg, Russian Federation

Study of broadcasting flow structure in VANET The paper provides analysis of message flow formation in a decentralized self-organizing vehicular network. An analytical description of the aggregated flow formation is carried out based on Burke's theorem. A variant of flow parameter description based on the sieved stream theory is presented. Next, the aggregated flow structure in the network and the principles of its formation are evaluated using the NS-2 tool. Using customized Perl scripts developed for analysis of output statistics, we have established that the aggregated flow has a Poisson distribution for low vehicle density and a Gamma distribution for high vehicle density. As a consequence of high intensity of messages in the system, the network resource becomes overloaded, which leads to degradation of the functionality of the road safety system as a whole. Based on estimations of the useful channel load, a novel message retransmission protocol was proposed to increase the efficiency of network resource utilization. 10.18721/JCSTCS.11301 621.396 intelligent transport system vehicular networks vehicular Ad-Hoc network dedicated short-range communication wireless access in vehicle environment queuing system https://infocom.spbstu.ru/article/2018.58.1/ 2018_3_01.pdf

RAR RUS 20-28 Fedorov Aleksandr aleksandr.v.fedorov@gmail.com AAH-8784-2019 35303230700 Peter the Great St.Petersburg Polytechnic University Vyacheslav P. shkodyrev@imop.spbstu.ru

Polytechnicheskaya, 29, St.Petersburg, 195251, Russia

Peter the Great St.Petersburg Polytechnic University Barsukov Nikita nikbars1997@gmail.com

St. Petersburg, Russian Federation

System for situation management and control of bad formalized scenarios of dynamic scenes The article considers a system for forecasting emergency situations when driving a vehicle using the IDAS (intelligent driver assistance system) model. The IDAS system is based on a combination of long and short-term memory (via recurrent neural network) and a fast-reacting system based on a fuzzy logic controller. We have evaluated the efficiency of combining a neuro-fuzzy controller and a recurrent neural network. We have developed an algorithm for forecasting emergencies, as well as software for testing the model on video recordings from DVRs. The effectiveness of the proposed approach has been proved on data from dash-cameras. The final time before the accident is near one second before any type of road accident. We have created a mobile prototype for the system for forecasting emergency situations based on the Raspberry Pi 3 mini-computer. 10.18721/JCSTCS.11302 004.896 machine vision artificial intelligence deep learning neural networks clusterization recourse neural networks https://infocom.spbstu.ru/article/2018.58.2/ 2018_3_02.pdf

RAR RUS 29-35 Peter the Great St.Petersburg Polytechnic University Vinogradov Evgeni vinogradov-el@rambler.ru

Polytechnicheskaya, 29, St.Petersburg, 195251, Russian Federation

Peter the Great St.Petersburg Polytechnic University Korotkov Dmitry dkor1@yandeх.ru

Polytechnicheskaya, 29, St.Petersburg, 195251, Russian Federation

Information technology for study of optical properties of paper substrates and model prints Light reflection and light transmission of two paper substrates and model prints printed on these materials by inkjet and electrophotographic methods are investigated. For this purpose, we have used optical scanning of the given objects placed in series on a black substrate, effectively absorbing light radiation, and on a metal mirror. The objects were scanned using an available flatbed office scanner. The obtained experimental data on reflection, transmission, scattering and absorption of light in tens of thousands of irradiated sample points were processed in a computer program Scilab-5.3.3, which allowed to determine the average parameter values of the optical properties of these objects and the characteristics of their heterogeneityin a short time. As a result, the advantages of the computerized method of scanning printing materials and products over the widely used reflectometry method have been convincingly demonstrated, the method’s prospects for solving the problem of improving the printing quality have been confirmed. In comparison with all other known methods for controlling the printed products, the optical scanning method is the most informative, accurate and universal. 10.18721/JCSTCS.11303 004.9: 655.3.02 information technology optical scanning printing papers inkjet printing electrophotography the quality of reproduction https://infocom.spbstu.ru/article/2018.58.3/ 2018_3_03.pdf

RAR RUS 37-48 Rashich Andrey rashich@cee.spbstu.ru Peter the Great St.Petersburg Polytechnic University Nguen Tan Ngoc ngoctan1610@yahoo.com

Polytechnicheskaya, 29, St.Petersburg, 195251, Russian Federation

Peter the Great St.Petersburg Polytechnic University Salnikov Valentin valyentin129@gmail.com

Polytechnicheskaya, 29, St.Petersburg, 195251, Russian Federation

Method for calculating peak-to-average power ratio of OFDM- and SEFDM-signals The paper presents the algorithms for sample mean and dispersion of peak-to-average-power-ratio (PAPR) of multicarrier signals with orthogonal (OFDM-signals) and non-orthogonal (SEFDM-signals) multiplexing. The simulation results are also presented for some subcarriers and modulation types. It is shown that the PAPR calculated over the signal samples on the basic sampling frequency differs greatly from the PAPR calculated over the equivalent continuous signal. The accuracy of the calculated sample mean and dispersion of PAPR depends on the sample size and on the oversampling rate. Simulation results are proposed for the sample sizes and oversampling rates for which further increase in computation complexity does not affect the sample mean and dispersion of PAPR. The proposed algorithms are applicable for any number of subcarriers in the multicarrier signal. 10.18721/JCSTCS.11304 621.391.8 OFDM NOFDM SEFDM multicarrier FTN PAPR 5G crest factor sample mean sample dispersion https://infocom.spbstu.ru/article/2018.58.4/ 2018_3_04.pdf

RAR RUS 49-56 Zhukovsky and Gagarin Air Force Academy Lutin Vladimir science2000@ya.ru

Voronezh, Russian Federation

0000-0002-9241-2883 Voronezh State Technical University Desyatirikova Elena science2000@ya.ru

Voronezh, Russian Federation

57200195313 Voronezh State Technical University Belousov Vadim science2000@yandex.ru

Voronezh, Russian Federation

Integrating results from observation by sensors of various physical fields with automatic guidance of unmanned aerial vehicles taking into account Arctic geomagnetic features of receiving signals Applying the theory of nonlinear filtration of conditioned Markov processes, we have synthesized a quasilinear algorithm for automatically directing an unmanned aerial vehicle, used to combine the results of observations in various physical fields and wavelength ranges for own and reflected radiation is determined. It is shown that the optimal way of combining the observation results in integrated automatic tracking systems is forming a single control signal by rotating the combined optical axis following the object, as a result of weight summation of the discrepancy signals produced by each of the observation systems, using the probabilities of object detection as weight coefficients. Based on the algorithm obtained, we have established potential possibilities for the accuracy of guidance of automatic sensors integrated by the system in the Gaussian approximation. A synergetic effect has been discovered, namely, thatit is possible to track a poorly visible or intentionally disguised object by joint observation with several sensors with low quality indicators. 10.18721/JCSTCS.11305 621.391.2 integration of the results of observations automatic tracking tracking accuracy the theory of nonlinear filtration likelihood ratio probability of detection https://infocom.spbstu.ru/article/2018.58.5/ 2018_3_05.pdf

RAR RUS 57-72 Kozhevnikov Vadim vadim.kozhevnikov@gmail.com Peter the Great St.Petersburg Polytechnic University Sabinin Oleg olegsabinin@mail.ru

Polytechnicheskaya, 29, St.Petersburg, 195251, Russian Federation

System of automatic verification of answers to open questions in Russian The paper considers systems of automatic verification of open answers in natural language and describes the requirements for such systems. The article proposes a functional scheme of such a system and discusses its implementation. The Tomita-parser by Yandex for extracting information from texts was chosen as a linguistic processor of the developed system. Grammatical rules for extracting entities from texts in Russian are written and an algorithm for analyzing the answers is proposed. Weights can be set for each entity and for each of the available reference responses when evaluating each response, allowing to customize the system. The system is implemented and tested by checking students’ answers. 10.18721/JCSTCS.11306 004.8 testing system text processing in Russian language computational linguistics information extraction open question short answer Tomita parser Natural Language Processing https://infocom.spbstu.ru/article/2018.58.6/ 2018_3_06.pdf