ISSN 1991-2927
 

ACP № 2 (60) 2020

'Automation of Control Processes' # 2 (60) 2020

Contents
AUTOMATED CONTROL SYSTEMS

Aleksandr Kupriianovich Ivanov, Doctor of Sciences in Engineering; graduated from the Faculty of Physics at Irkutsk State University, completed his postgraduate studies at Bauman Moscow Technical School, doctoral studies at Ulyanovsk State Technical University, Chief Staff Scientist of FRPC JSC ‘RPA ‘Mars’; an author of monographs, tutorial, articles in the field of the mathematical modeling of hierarchical real-time computer-aided control systems. e-mail: mars@mv.ruA. K. Ivanov

The model of informational interaction in the generation of decisions by command units60_1.pdf

The article describes the process of decision generation performed by the operations staff of a command unit as an interaction of three types of information resources, i.e. raw situation information, incoming to the system of control; information resources of knowledge base of the system; and information resources of the decision-maker experience. Such interaction encompasses an amount of decision information recourses. The differential model of the second-order reaction is suggested as a mathematical model of interaction similarly to a chemical reaction, if two types of information resources are considered; and the differential model of the third-order reaction, if all types of information resources are considered. The method of undetermined coefficients was used to find the analytical solutions of relation between the reaction rate constant and time, volume of interacting resources, and volume of solution results. An interaction mechanism was developed to provide review of the whole information space and selecting of the most promising combinations comprising the final result. Based on this mechanism two methods of finding a solution were described as follows: a slow one that sorts out all combinations in a sequential order, or a quick creative one based on the intuition of a decision-maker who performs a part of operations simultaneously.

Command unit, decision-making, mathematical model.


Konstantin Konstantinovich Vasilev, Doctor of Sciences in Engineering; graduated from the Radioengineering Faculty of Leningrad Electrotechnical Institute n.a. V.I. Ulyanov (Lenin); Professor of the Department of Telecommunications at Ulyanovsk State Technical University, Honored Worker of Science and Technology of the Russian Federation, Corresponding Member of the Academy of Sciences of the Republic of Tatarstan; an author of monographs, manuals, and articles in the field of statistical synthesis and analysis of information systems. e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it. K. K. Vasilev,

Leonid Iurevich Korolev, graduated from Ogarev Mordovia State University; Postgraduate Student of the Department of Infocommunication Technologies and Communication Systems of Ogarev Mordovia State University; an author of articles in the field of the unmanned aerial vehicle navigation. e-mail: l.y.korolev@ yandex.ruL. I. Korolev

Opportunities for reduction of computational costs when determining the coordinates of autonomous vehicle group60_2.pdf

The article deals with the known and new algorithms proposed by authors for integrating the estimates of eigen and mutual coordinates and velocities of movement for an arbitrary number of autonomous vehicles. The impact of uncontrolled external disturbances on the system is taken into account. Four versions for developing the navigation-parameter processing algorithms on the basis of two-stage integration of observations, Kalman vector and scalar filters are proposed and examined. The first technique involves estimating the coordinates and speeds of all aerial vehicles with a Kalman vector filter. The second technique is to integrate velocities at the first stage and to use the Kalman vector filter at the second stage. The third one is based on separate integration of coordinates and velocities at the first stage with subsequent processing of estimates with a scalar Kalman filter. In the fourth technique, observations of eigen and mutual coordinates are integrated and processed by a scalar filter, taking into account direct observations of eigen speed of the apparatus. Expressions for covariance error matrices are derived, and the comparison results of the effectiveness of the considered approaches are given. Computational costs are analyzed when estimating the location by the use of each of the considered algorithms.

Integration of estimates, coordinates, state vector, observation model, stochastic equation, Kalman filter, covariance of errors.


Sergei Aleksandrovich Ageev, Doctor of Sciences in Engineering, Associate Professor; graduated from the Faculty of Radioengineering of Ulyanovsk Polytechnic Institute; Head of a research department at Radioavionica JSC in St. Petersburg; specializes in the design of telecommunication systems, automated communication management systems, and the development of methods and algorithms for managing complex systems; an author of articles and patents in the field of telecommunication and multiservice systems and communication networks. e-mail: serg123_61@mail.ruS. A. Ageev

Nina Sergeevna Ageeva, graduated from the Faculty of Engineering and Physics of the Saint Petersburg National Research University of Information Technologies, Mechanics, and Optics (ITMO University); Scientific Associate the Marshal Budjonny Military Academy of Signal Corps; specializes in building the automated service quality management systems in multiservice communication networks; an author of articles and patents in the field of data compression methods and algorithms in multiservice communication networks. e-mail: nine11ia@yandex.ru.N. S. Ageeva

Vladimir Vladimirovich Karetnikov, Doctor of Sciences in Engineering, Professor; graduated from the Saint Petersburg State University of Waterway Communications; Head of the Department of Inland Navigation at Admiral Makarov State University of Maritime and Inland Shipping; specializes in the design and development of systems, communication networks and radio navigation systems; an author of articles and patents in this subject area. e-mail: spguwc-karetnicov@yandex.ruV. V. Karetnikov

Andrei Andreevich Privalov, Doctor of Military Sciences; graduated from the Marshal Budjonny Military Academy of Signal Corps; Professor of the Department of Electrical Communication of the Emperor Alexander I St. Petersburg State Transport University; specializes in the field of mathematical modeling and development of methods, algorithms, and control systems of infocommunication systems; an author of articles and patents in the field of operational management of communication networks and large cyber-physical systems. e-mail: aprivalov@inbox.ruA. A. Privalov

The real-time assessing method for the state of network elements to provide for quality parameters in corporate high-speed multiservice communication networks60_3.pdf

The article suggests an intelligent method and algorithms of assessing the state of network elements to provide for quality parameters of communication services in corporate multi-service communication networks, which operate in near real- time mode. The distinctive feature of corporate multi-service networks is the rapid change of their state. And this is an automated network management system, which provides for the specified quality of communication services. In this way, the relevance of this research is highlighted by the need to implement network management processes with specified quality in near real-time mode. The real-time assessing method for network element state is based on the intelligent agent concept. The suggested approach assumes the intelligent agents are created as hierarchical situational fuzzy networks, where management solutions are made on the basis of solution of hierarchical system of optimization problems, which relies on the methods of fuzzy mathematical programming, unlike common case-based methods. The main paradigm of their operation lies in ‘situation – action.’ This allows to reduce significantly the dimension of solving task and to obtain Pareto-optimal solutions for quality management of communication services. The intelligent agent is able to implement management solutions automatically provided that the network manager designate such capabilities to it. The method of estimating traffic parameters is based on the concept of conventional nonlinear Pareto-optimal filtering developed by V.S. Pugachev. The core of this method is in the two-stage procedure. In the first stage the parameter estimations are predicted, and in the second one their values are corrected, after next observations have been received. Adaptation is implemented on the basis of pseudogradient procedures, which parameters are adjusted with Takagi-Sugeno fuzzy logical conclusion. The mean relative error of traffic parameters estimation does not exceed 10%, which is sufficient for real-time quality management of communication services.

Hierarchical situational fuzzy network, intelligent agent, pseudogradient procedures, conventional nonlinear Pareto-optimal filtering, Takagi-Sugeno fuzzy logical conclusion, fuzzy rule base, fuzzy knowledge base.


MATHEMATICAL MODELING

Vladimir Aleksandrovich Baboshin, Candidate of Sciences in Engineering, Associate Professor; graduated from the Ulyanovsk Higher Military Command School of Communications; Associate Professor of the Department of Reconstruction of Automatic, Telemechanic, and Communication Devices on Railways at the Military Institute of Railway Troops and Military Communications of Military Academy of Logistics and Transport n.a. Army General A.V. Khruljov; an author of articles, inventions in the field of analysis (synthesis) of information systems and mathematical modeling, reconstruction of railway automatic and telemechanic devices. e-mail: boboberst@mail.ruV. A. Baboshin

Branislav Gavrilovich, Doctor of Sciences in Engineering; graduated from the Electrical Engineering Department of Veljko Vlahovic University in Titograd; Professor of the Department of the Higher Railway School in Belgrade, Serbia; an author of articles, inventions, scientific and methodological works in the field of power generation, operation of railway transport, railway automation and telemechanic devices. e-mail: gavrilovicbranislav5@gmail.comB. Gavrilovich

Anton Anatolevich Iakovlev, Candidate of Sciences in Economics; graduated from Leningrad Higher Military Combined Armies Command Institute; Lecturer of Saint-Petersburg University of Management Technologies and Economics; an author of articles, scientific and methodological works in the field of industrial economic management. e-mail: yakovlev16@yandex.ruA. A. Iakovlev

To the study of analysis on how harmonic radio interference affects the power supply systems of railway transport60_4.pdf

The railway transport is a complex organizational and technological system. Transit by rail freightage is contingent on many factors, including the traffic and carrying capacity of stations and track infrastructure. The efficient management of an operating station, as well as arrangement of safe rail traffic control affected by adverse factors is of crucial importance [1]. One of such significant factors is the radio interference influencing electrical and electronic equipment, and equipment ensuring the automation of railway, remote control and telecommunications [2]. The article discusses some issues of electromagnetic compatibility of the equipment, analyses how voltage variation in the overhead system affects the generation of harmonic radio interference for the equipment of power supply network, railway automation, telemechanics and telecommunications, when traction motors are running. This issue is essential to ensure the compliance with Eurostandards and concepts, regarding the compatible functionality of equipment, which influences the railway economics. The article emphasizes the compensating filters, which are put to practice use at traction substations of Serbian Railways as primary protection means [3].

Railway transport, complex organizational and technological system, overhead system, distribution network, radio interference, harmonics, railway automation and telemechanics, telecommunications, economical efficiency, reliability.


Vladislav Nikolaevich Kovalnogov, Doctor of Sciences in Engineering; graduated from Kazan State University; Head of the Department of Heat-and-Power Engineering of Ulyanovsk State Technical University (UlSTU); an author of articles, monographs, and inventions in the field of simulation, research, and optimization of thermal and gas-dynamic processes in power installations and processing equipment. e-mail: kvn@ulstu.ruV. N. Kovalnogov

Ruslan Vladimirovich Fedorov, Candidate of Sciences in Engineering; graduated from Ulyanovsk State Technical University; Associate Professor at the Department of Heat-and-Power Engineering of UlSTU; an author of articles and inventions in the field of numerical modeling the hydro-gas-dynamic processes. e-mail: r.fedorov@ulstu.ruR. V. Fedorov

Andrei Valentinovich Chukalin, Candidate of Sciences in Engineering; graduated from Ulyanovsk State Technical University; Junior Scientist of the Scientific Research Office of the Department for Research Activities and Innovations at UlSTU; an author of articles and inventions in the field of numerical modeling the hydro-gas- dynamic processes. e-mail: chukalin.andrej@mail.ruA. V. Chukalin

Larisa Valerevna Khakhaleva, Candidate of Sciences in Engineering; graduated from Ulyanovsk State Technical University; Associate Professor at the Department of Heat-and-Power Engineering of UlSTU; an author of articles and inventions in the field of numerical modeling the hydro-gas-dynamic processes. e-mail: larvall@mail.ruL. V. Khakhaleva

Mathematical modeling of exchange processes in the turbulent boundary layer. Model analysis and verification60_5.pdf

The fundamental tool for studying complexgas-dynamic processes occurring under non-stationary conditions is mathematical modeling, which allows reliable studies to carry out comprehensive research and development of technical solutions. A promising area of research is the search and development of methods for controlling the boundary layer of gas flows, which can intensify or reduce exchange processes in the boundary layer of power plants used in various industries of our country, such as: energy, aircraft manufacturing, shipbuilding. A modern and effective control method is a method based on the use of a damping surface. The impact of the damping surface is expressed in a decrease in the intensity of generation of turbulent vortices, which in turn leads to an increase in the velocity in the boundary layer and a decrease in the friction and heat transfer resistance. Research and development of technology will allow developing technical solutions for efficient and resource-saving energy. The paper considers a method for modeling a turbulent boundary layer, which allows one to take into account the effect of the damping surface on the metabolic processes occurring in the boundary layer of the gas stream. The paper also presents the results of a comprehensive hot-wires anemometric study of the boundary layer of a gas stream on a damping surface. The experiment was carried out using certified equipment in a wind tunnel and aimed at developing the theory and verifying the software package, in which the simulation method is implemented.

Mathematical modeling, numerical research, boundary layer, turbulence, laminarization, damping surface, heat and mass transfer.


Iuliia Aleksandrovna Radionova, Candidate of Sciences in Engineering; graduated from the Faculty of Mathematics and Mechanics of Ulyanovsk State University; finished her postgraduate study at Ulyanovsk State Technical University; Lead Programming Engineer at FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of automated workflow systems, intelligent technical documentation storage bases and systems for statistical analysis of supplier appraisal; research interests are in the field of electronic document management, archival depositories, statistical data analysis, decision support systems. e-mail: julia-owl@mail.ruI. A. Radionova

Aleksandr Leonidovich Savkin, Candidate of Military Science, Associate Professor; graduated from the Ulyanovsk Higher Military Command School of Communications and the Marshal Budjonny Military Academy of Signal Corps; completed his postgraduate studies at the Military Academy of Communications; Head of Science and Engineering Support Department of FRPC JSC ‘RPA ‘Mars’; an author of scientific works, manuals, and articles in the field of the development and modeling of computer-aided control systems of communications and statistical analysis of supplier appraisal. e-mail: mars@mv.ruA. L. Savkin

Forecast modeling of peak work loads based on time series analysis60_6.pdf

The article deals with the analysis of work load in a technical documentation department of research-and-production association. Data for the analysis are formalized as unstructured time series (time series). Basic definitions of time series, methods for detecting anomalous data, trend criteria, trend equation types are studied. Methodology for data structuring of initial time series intended for the following analysis is developed. Modification of the criterion for anomalous point detection is proposed. All the considered algorithms are implemented; database structure is developed. Information on the department work performed during the period 2008 to 2018 was captured to carry out computing experiments. Data are structured according to the proposed methodology. Anomalous data are detected by standard and modified criteria; trend availability is identified. Conclusions are made on criteria and equations that are optimal for initial data set. Data for year 2018 are modelled based on various equations; results are compared with actual data. Conclusions were drawn up regarding the ability to be used the methods examined for the selected data set.

Time series, trend, anomalous data, work load.


ARTIFICIAL INTELLIGENCE

Anton Alekseevich Romanov, Candidate of Sciences in Engineering; graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University (UlSTU); Associate Professor of the Department of Information Systems at UlSTU; an author of articles in the field of intelligent systems for data storage and processing. e-mail: romanov73@gmail.comA. A. Romanov

Aleksei Aleksandrovich Filippov, Candidate of Sciences in Engineering; graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; Associate Professor of the Department of Information Systems at UlSTU; an author of articles in the field of ontological modeling, intelligent systems for data storage and processing. e-mail: al.filippov@ulstu.ruA. A. Filippov

Nadezhda Glebovna Yarushkina, Doctor of Sciences in Engineering, Professor; graduated from Ulyanovsk Polytechnic Institute; Interim Rector of Ulyanovsk State Technical University, Head of the Department of Information Systems at UlSTU; an author of more than 300 scientific papers in the field of soft computing, fuzzy logic, and hybrid systems. e-mail: jng@ulstu.ruN. G. Yarushkina

Vladimir Anatolyevich Maklaev, Candidate of Sciences in Engineering; graduated from Radioengineering Faculty of Ulyanovsk Polytechnic Institute; Director General of Federal Research-and-Production Center Joint-Stock Company ‘Research-and-Production Association ‘Mars’. The area of scientific interests relates to the computer- aided design systems. e-mail: mars@mv.ruV. A. Maklaev

The decision support module of information environment for technological support of production60_7.pdf

Making management decisions requires a specialist to have extensive knowledge of the problem area and the current state of the organization. There is a need for timely and urgent management decision support in the activity of any large organization. The decision support module (DSM) was created to solve that kind of problem in the task of balancing production capacities. The main task of the DSM is a linguistic summarization of the state of the main production indicators and the formation of recommendations that allow the decision-maker to develop a specific strategy for balancing production capacities. The DSM functionality is based on the knowledge base in the form of ontology with the set of expert SWRL-rules. This article describes methods for modeling and forecasting the dynamics of the main production indicators based on type- 2 fuzzy sets, and the approach to summarizing the time series of production indicators and forming recommendations for optimizing production based on knowledge engineering methods.

Data-driven decision making, type-2 fuzzy sets, time series forecasting, ontology, inference.


Viacheslav Andreevich Sergeev, Doctor of Sciences in Engineering, Professor; graduatedfromthe Faculty of Physics of Gorky State University n.a. Lobahevsky; Director of the Ulyanovsk Branch of the Kotel’nikov Institute of Radio- Engineering and Electronics of the Russian Academy of Sciences; Head of the Department of Radioengineering, Opto- and Nanoelectronics of Ulyanovsk State Technical University (UlSTU); an author of monographs, papers, and inventions in the field of modeling and researching semiconductor devices and integrated circuits characteristics and measuring its thermal parameters. e-mail: sva@ulstu.ruV. A. Sergeev

Mikhail Iurevich Leontev, completed postgraduate studies at the Faculty of Mathematics, Information, and Aviation Technologies at Ulyanovsk State University; Junior Research Associate of the Scientific and Research Institute of Technology n.a. S.P. Kapitsa; Leading Engineer of the Ulyanovsk Branch of the Kotel’nikov Institute of Radio-Engineering and Electronics of RAS; an author of eight articles, a certificate of registration for computer program. The area of his research interests relates to learning and robotics. e-mail: ulstaer@gmail.comM. I. Leontev

Victoriia Iurevna Islenteva, a student of the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; an author of two articles. The area of her research interests relates to machine learning. e-mail: viksaskin@yandex.ruV. I. Islenteva

Sergei Vladimirovich Sukhov, Candidate of Sciences in Physics and Mathematics; graduated from the Ulyanovsk Branch of Lomonosov Moscow State University; Senior Staff Scientist at the Ulyanovsk Branch of the Kotel’nikov Institute of Radio-Engineering and Electronics of RAS; Associate Professor at the Department of Applied Mathematics and Informatics of UlSTU; an author of a monograph, 90 articles, two patents for inventions in the field of optics, computational neuroscience, and machine learning. e-mail: ssukhov@ulireran.ruS. V. Sukhov

Evaluation of generative approaches to knowledge sharing in neural networks60_8.pdf

The ability to interact and share knowledge among artificial neural networks (ANNs) is critical for further development of the artificial intelligence. One of the methods of knowledge sharing among ANNs may rely on the generation of training data using auxiliary generative models, which have recently become widespread. To make such methods more efficient, it is necessary to further improve the quality of artificial training data developed by generative models. The article proposes and tests several methods of enhancing characteristics of one of the classes of generative models, viz. variational autoencoders (VAE). It was improved both the VAE training procedure and changes in the model architecture. The improving methods of the quality of generated training data have been analyzed in terms of the efficiency of knowledge sharing among ANNs. To test the process of knowledge sharing among ANNs, the public training data sets have been used.

Generative networks, variational autoencoders, neural networks, machine learning, image classification, knowledge sharing.


COMPUTER-AIDED ENGINEERING

Igor Borisovich Saenko, Doctor of Sciences in Engineering, Professor; graduated from the Marshal Budjonny Military Academy of Signal Corps; Leading Researcher of the Laboratory of Computer Security Problems of St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS); an author of articles, monographs, and patents in the field of computer security problems, artificial intelligence methods, information and telecommunication systems. e-mail: ibsaen@comsec.spb.ruI. B. Saenko

Igor Vitalevich Kotenko, Doctor of Sciences in Engineering, Professor; graduated from the A.F. Mozhaisky Military Space Academy and the Marshal Budjonny Military Academy of Signal Corps; Head of the Laboratory of Computer Security Problems of SPIIRAS; an author of articles, monographs, and patents in the field of computer security problems, artificial intelligence methods, information and telecommunication systems. e-mail: ivkote@ comsec.spb.ruI. V. Kotenko

Using a role-based approach and genetic optimization for vlan design in large critical infrastructures60_9.pdf

The article considers a new approach to the formation of access control schemes in the design of virtual local area networks (VLANs) in large critical infrastructures, based on the use of an improved genetic algorithm, the introduction of multiple roles for network nodes and the accounting of mapping between a set of network nodes and a set of roles. The problem statement is justified as the optimization of access control schemes in VLAN according to the criterion of minimum number of virtual subnets taking into account the peculiarities of role approach. The problem being solved is shown to belong to the Boolean matrix factorization problem class, in which the original matrix is decomposed into four ones forming two independent pairs of straight and transposed matrices. Improvements of the genetic algorithm involve multi-chromosome representation of individuals, a new kind of fitness function, and a two-dimensional kind of crossing operation. The experimental evaluation showed a benefit in the speed of the role genetic algorithm at a large task dimension of up to 5 times at a sufficiently high accuracy of finding the optimal solution.

VLAN, access control, genetic algorithm, critical infrastructure.


Aleksandr Valerianovich Samonov, Candidate of Sciences in Engineering, Associate Professor; graduated from the A.F. Mozhaysky Military Institute of Engineering; Senior Staff Scientist at the A.F. Mozhaysky Military-Space Academy; an author of more than 30 publications in the field of system analysis, system and software engineering, validation and verification of software, methods and tools of information security. e-mail: a.samonov@mail.ruA. Samonov,

Galina Nikolaevna Samonova, graduated from the Leningrad Institute of Refrigeration Industry; Research Officer at the A.F. Mozhaysky Military-Space Academy; an author of more than 10 publications in the field of system and software engineering, software validation and verification, methods and tools of information security. e-mail: g.samonova@mail.ruG. Samonova,

Sergei Vasilevich Krasnov, Candidate of Sciences in Engineering, Associate Professor; graduated from the Ulyanovsk Higher Military Command School of Communications; completed his postgraduate programs at Ulyanovsk Higher Military Engineering Communication School; Associate Professor of Graduate School of Business and Management of Peter the Great St. Petersburg Polytechnic University; an author of more than 50 publications in the field of design and implementation of information systems and technologies. e-mail: hsm. krasnov@gmail.comS. Krasnov,

Sergei Romanovich Malyshev, Candidate of Sciences in Engineering, Associate Professor; graduated from the A.F. Mozhaysky Military Institute of Engineering; Honored Inventor of the Russian Federation; Associate Professor of the Marshal Budjonny Military Academy of Signal Corps; an author of manuals, articles, and inventions in the field of modern theoretical aspects of radiomonitoring and radioengineering control. e-mail: malishevsr56@ya.ruS. Malyshev,

Iurii Ivanovich Beresnev, Candidate of Military Sciences; graduated from the Marshal Budjonny Military Academy of Signal Corps; Chief Designer at Federal Research-and-Production Center Joint-Stock Company 'Research-and-Production Association 'Mars'; a specialist in the field of organization and building of communications and data exchange systems; an author of publications in the field of design of special-purpose control systems. e-mail: mars@mv.ruI. Beresnev

Methodology for developing a subject-oriented language and tools for creating automated management systems for complex organizational and technical systems 60_10.pdf

Modern technologies for industrial development of complex software and hardware systems are based on model-oriented technologies and tools for visual design, modeling and validation. Practical application of these technologies is complicated by both subjective and objective factors due to their flexibility and being hard-to-develop. One of the ways to reduce the impact of these negative factors is to create special-purpose domain-specific languages and tools supporting design of the systems of a specific class and a specific application domain. The article describes methods and tools for creating domain-specific languages and domain specific modeling (DSM) solutions intended to develop computer-aided control systems for complex organizational and technical systems using technologies and tools developed within the scope of the Eclipse Modeling Project. The most complicated and at the same time least worked out issues are those one, related to the identification and concept formulation of application domain of a DSM solution and the selection of an optimal and appropriate set of tools and structures. The conceptual model of the application domain of computer-aided control systems is formed as a task-oriented ontology using Zachman Framework. It is a set of control functions arranged in hierarchical order, which are performed by management bodies under controlled objects to achieve goals using certain algorithms in accordance with specified time, limited resources and other constraints. DSM solutions, made and used to develop computer-aided control systems, will improve their quality and reduce time, taken to designing due to the following facts: – development of requirements for computer-aided control system and its designing is carried out jointly by experts, analysts and programmers using special tools within the application domain; – the resulting requirements and design solutions are validated and verified as per stringent standards, which allows for correct generation and testing of software code; – end-to-end quality control under all system lifecycle artifacts

Computer-aided control systems, validation and verification, metamodeling, domain-specific languages, DSMsolution, DSM-platform.


ELECTRICAL ENGINEERING AND ELECTRONICS

Nikolai Iurevich Babanov, Doctor of Sciences in Engineering; graduated from Lobachevski State University of Nizhny Novgorod; Vice-Rector for Development Programmes of Nizhny Novgorod State Technical University n.a. R.E. Alekseev; an author of articles and monographs in the field of signal processing and information security. e-mail: babanov@nntu.ruN. Babanov,

Anatolii Afanasevich Gladkikh, Doctor of Sciences in Engineering; graduated from the Marshal Budjonny Military Academy of Signal Corps; completed his postgraduate studies at the Military Academy of Communications; Professor at the Department of Telecommunications of Ulyanovsk State Technical University; an author of monographs, textbooks, articles, and patents in the field of noise-immune coding and information security. e-mail: a.gladkikh@ulstu.ruA. Gladkikh,

Sergei Mikhailovich Namestnikov, Candidate of Sciences in Engineering; graduated from Ulyanovsk State Technical University, completed postgraduate studies at UlSTU; Associate Professor of the Department of Telecommunications at UlSTU; an author of articles in the field of statistical signal processing. e-mail: sernam@ ulstu.ruS. Namestnikov,

Sergei Valentinovich Shakhtanov, graduated from the Leningrad Higher Military Engineering School of Communications; Senior Lecturer of the Department of Infocommunication Technologies and Communication Systems at Nizhny Novgorod State Engineering and Economic University; an author of articles in the field of noise-immune coding and information security. e-mail: r155p@bk.ruS. Shakhtanov

Properties of cyclic structures in the system of permutation decoding of redundant codes 60_11.pdf

The practice of using optical cables as part of large data centers is gaining a steady trend of switching from single-mode fibers to their multimode counterparts. This is due to a number of economic indicators that are advantageous for multimode fibers and their wide capabilities to transmit significant amounts of data at high speeds over short distances within the boundaries of a specific object. For this reason, a similar trend is beginning to be observed in transport infrastructure, aircraft and shipbuilding. At the same time, the objectively expected loss in terms of the bit error rate in multimode cables is successfully compensated by means of noise-tolerant encoding. In this regard, there is an increased interest in permutation decoding systems for systematic redundant codes that allow the use of cognitive methods of digital data processing. This provides an adequate acceleration of the decoding procedure for such codes at time intervals close to the speed of data exchange in optical cables. The time gain is achieved by preliminary calculation of generating matrices of equivalent codes, the structure of which is set by stochastic permutation of the symbols of the accepted combinations depending on the current interference vector. The result of this calculation is stored in the decoder's cognitive map. Due to this, the time required for rapid calculation of the equivalent code is replaced by a short search time for the finished matrix from the memory of the cognitive map using the cyclic properties of permutations.

Soft symbol solution, permutation, permutation orbits, equivalent code, permutation decoding, cognitive decoder map.


Konstantin Konstantinovich Vasilev, Doctor of Sciences in Engineering; graduated from the Radioengineering Faculty at Leningrad Electrotechnical Institute n.a. V.I. Ulyanov (Lenin) (“LETI”); Professor of the Department of Telecommunications at Ulyanovsk State Technical University; Honoured Worker of Science and Technology of the Russian Federation, Corresponding Member of the Academy of Sciences of the Republic of Tatarstan; an author of monographs, manuals, and articles in the field of statistical synthesis and analysis of information systems. e-mail: vkk@ulstu.ruK. K. Vasilev

Vitalii Evgenevich Dementev, Candidate of Sciences in Engineering, Associate Professor; graduated from the Faculty of Economics and Mathematics with the specialty in Applied Mathematics at Ulyanovsk State Technical University; Head of the Department of Telecommunications at UlSTU; an author of monographs and articles in the field of statistical synthesis and analysis of multidimensional images. e-mail: dve@ulntc.ruV. E. Dementev

Aleksei Vladimirovich Belianchikov, Postgraduate Studentofthe Departmentof Telecommunications at Ulyanovsk State Technical University; graduated from UlSTU with the Master’s degree in Infocommunication Technologies and Communication Systems; an author of publications in the field of information and communication systems. e-mail: friedlemon73@gmail.comA. V. Belianchikov

Receiving discrete messages in multi-frequency communication systems with pilot signals60_12.pdf

The optimal algorithm for receiving multi-position signals in multi-frequency communication systems with the estimation of quadrature components (CS) has been synthesized using the Bayesian approach. The algorithm is similar to the well-known quadratic-linear receiver, but differs in the presence of optimal CS estimates and parameter correction in its composition. The article considers possibilities of evaluating CS based on built-in pilot signals and image processing methods as well. Upon that autoregressive models with multiple roots of characteristic equations, which allow simulating quasi-isotropic fields, are suggested for approximating the real correlation functions of the CS fields. The study shows that the use of such models results in a slight increase in the variance of the reconstruction error with respect to the discrete Wiener filter, but allows using recurrent interpolation of random fields with minimal computational costs. The article describes conditions under which it is possible to make the simplest CS estimation based on observations of the nearest pilot signals.

Communication system, pilot signal, quadrature components, white noise, autoregression, correlation function, covariance matrix of estimates, Wiener filter, Kalman filter.


Natalia Valerevna Evglevskaia, Candidate of Sciences in Engineering; graduated from the Faculty of Electrical Engineering of Saint Petersburg State Transport University; a lecturer of the Marshal Budjonny Military Academy of Signal Corps; an author of articles in the field of information security. e-mail: n.evglevskaya@gmail.com. Roman Sergeevich Pak, Cadet of the Marshal Budjonny Military Academy of Signal Corps; an author of an article in the field of network theory. e-mail: pakroman17@gmail.comN. V. Evglevskaia

Roman Sergeevich Pak, Cadet of the Marshal Budjonny Military Academy of Signal Corps; an author of an article in the field of network theory. e-mail: pakroman17@gmail.comR. S. Pak

Andrei Andreevich Privalov, Doctor of Military Sciences, Professor; graduated from the Stavropol Higher Military School of Communications of Communications; Professor of the Department of Telecommunications of Emperor Alexander I St. Petersburg State Transport University; a patent holder, author of articles, monographs in the field of information security, mathematical modeling of systems and communication processes, telecommunications control systems. e-mail: aprivalov@inbox.ruA. A. Privalov

Nikolai Aleksandrovich Khmelliar, graduated from the Marshal Budjonny Military Academy of Signal Corps; an officer of a department of the Military Unit No. 61535; an author of articles in the field of network theory. e-mail: theboyxxx@yandex.ruN. A. Khmelliar

Simeon Aleksandrovich Shinkarev, Candidate of Sciences in Engineering; completed the postgraduate studies at the Marshal Budjonny Military Academy of Signal Corps; Associate Professor at the Marshal Budjonny Military Academy of Signal Corps; a patent holder, author of articles in the field of network theory. e-mail: se_men82@ mail.ruS. A. Shinkarev

Algorithm for finding the conditioned spanning tree to transmit synchronization signals to the communication networks60_13.pdf

In designing, building and operation stages of communication networks, the requirements for different subsystems, and especially for the control subsystem, must be taken into account. In the present environment of constant increase of transmitting messages in communication networks, the requirements for the quality of digital channels and network devices are getting higher. The control subsystem as an integral part of the communication network is to be built in conjunction with it, but there are some independent tasks, that can be solved only for the control subsystem. One of the most important subsystems is the clock network synchronization one, which generates, transmits and distributes synchronization signals, required for keeping functioning of all digital network devices and for providing services of specified quality. The most crucial aspect of the synthesis of the clock network synchronization subsystem is the selection of hierarchy (scheme) of control signal distribution. The authors of the article developed the algorithm of building such a subsystem, which is the minimal rank conditioned tree with the best length of the line grid connecting all network nodes. This algorithm allows obtaining the optimized clock network synchronization subsystem and the control subsystem in general, because the algorithm is multifunctional and can be used for solving different tasks. Problems described in the article are of great importance both for fixed network structures and for the conditions of dynamic change of communication networks topology.

conditioned spanning tree, control subsystem, theorem of O.B. Lupanov, algorithms of Prim and Kruskal, STP.


Viacheslav Andreevich Sergeev, Doctor of Sciences in Engineering, Professor; graduated from the Faculty of Physics of the Lobachevsky State University of Gorky; Director of the Ulyanovsk Branch of the Kotelnikov Institute of Radio-Engineering and Electronics of the Russian Academy of Sciences; Head of the Department of Radioengineering, Opto- and Nanoelectronics of Ulyanovsk State Technical University; an invention holder and author of monographs, articles in the field of the performance analysis and thermal parameter measurement of semiconductor devices and integrated circuits. e-mail: sva@ulstu.ruV. A. Sergeev

Ruslan Gennadevich Tarasov, graduated from the Ulyanovsk Higher Military Command School of Communications; Director of JSC ‘NPP ‘Zavod Iskra’; an applicant at the Department of Radioengineering, Opto- and Nanoelectronics of Ulyanovsk State Technical University; an author of publications in the field of development of methods and instruments for parameter measurements and quality control of radioelectronic devices. e-mail: rgtarasov@yandex.ruR. G. Tarasov

Quality control of x-band output power amplifier submodules by transient thermal characteristics60_14.pdf

A brief rview of techniques and facilities for detecting hidden defects in electronic modules by thermal diagnostic and measuring methods for characterizing the thermal properties of active devices in electronic modules is presented. It is shown that the assembly quality of modern submodules of X-band output power amplifiers (OPA) with two parallel- connected GaAs monolithic microwave intеgrated circuits can be assessed by the temperature difference of these monolitic integrated circuits during the OPA operation. A Foster-type thermal equivalent circuit with two galvanic-coupled active devices (unpacked semiconductor devices) is examined in order to describe and analyse thermal processes in OPA. A new method for measuring the thermal junction-to-case resistance and thermal junction-to-case time constant of semiconductor devices by transient thermal characteristics at the start of heating process when applying heat power of two different levels to the electronic module is described. The method is distinguished and favoured among others, due to the fact that it is not required to measure power consumed by each semiconductor device; only the total power consumed by the electronic module from the power supply is specified when measuring. The error of this estimation method does not exceed 10 percent. Сonditions and features of the method applied to the OPA submodules are considered.

Submodule of output power amplifier, active devices, electronic module, semiconductor devices, heat power, thermal parameters, measurement, transient thermal characteristics.


© FRPC JSC 'RPA 'Mars', 2009-2018 The web-site runs on Joomla!