
Main / Archive /'Automation of Control Processes' # 1 (47) 2017
'Automation of Control Processes' # 1 (47) 2017
Contents
AUTOMATED CONTROL SYSTEMS
Konstantin Konstantinovich Vasiliev, Ulyanovsk State Technical University, Doctor of Engineering, Professor; Honored Worker in the science and engineering of the Russian Federation; Correspondent Member of the Tatarstan Academy of Sciences; graduated from the Faculty of Radioengineering of Leningrad Institute of Electrical Engineering named after V.I. Ulyanov (Lenin);///// Head of the Department of Telecommunication at Ulyanovsk State Technical University; an author of monographs, textbooks, and articles in the field of statistical synthesis and analysis of information systems. [email:
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]K. Vasiliev, Nikolai Vladimirovich Luchkov, Federal ResearchandProduction Center Joint Stock Company ‘Researchand Production Association ‘Mars’, Candidate of Engineering; graduated from the Faculty of Radioengineering and completed his postgraduate studies at the Department of Telecommunications of Ulyanovsk State Technical University; Senior Research Engineer of Federal ResearchandProduction Center Joint Stock Company ‘Researchand Production Association ‘Mars’; an author of articles in the field of statistic methods of signal processing. [email:
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]N. Luchkov


Trajectory Processing on the Basis of Nonlinear Filtering
The issues of trajectory processing of radiolocation observations of air targets are considered. In order to provide trajectory processing, modelling of radiolocation targets primary marking with bearings, angles of sights, and sweeps was carried out. On the basis of them, the unified coordinate signals with maximum sharp spatial coordinates and minimum possibility of the marking group disintegration from one target to two or more number of groups were constructed. The multimodel Bayesian algorithms of simultaneous distinction of targets' (models') types and estimation of changing trajectory parameters are used for trajectory processing organization. The methodology of the pulse gate dimensioning for identifying observations and trajectories is described. Formation of the set of marks that will be used for detailing a trajectory and estimation of its parameters is carried out with the use of strobing operations and marks gathering. In case of the operations, selection of marks was hold. The marks can basically correspond to marks from the target with acquainted dynamic characteristics, which means that they can compound its trajectory. In this case, strobing is concerned with individual marks, and the marks strobed are gathered over a time frame. The mathematical models of state changing in the Cartesian system in case of observation in spherical coordinates and the corresponding equations of nonlinear vector estimation are considered. The software complex is developed and some results of mathematical modelling of trajectory processing are shown. Accordingly, the proposed methods and algorithms allow to realize the integrated approach to situation coverage of the theatre of military operations with the use of all means available. Also, the methods and algorithms can become the basis in development of protocols of the realtime integrated information and control space. Radiolocation, statistical methods, trajectory processing, detection, distinction, estimation, nonlinear filter.


Vladimir Nikolaevich Moiseev, , Candidate of Engineering; graduated from the Faculty of Economics and Mathematics of Ulyanovsk State Technical University; Software Engineer of the R&D laboratory at Federal ResearchandProduction Center Joint Stock Company ‘ResearchandProduction Association ‘Mars’; an author of articles and inventions in the field of computeraided facilities for naval and aeronautical engineering control. [email: v.n.moiseev@mail.ru]V. Moiseev


The Methodology of Calculation of an Aircraft Range Capability on the Basis of Tactical Radius Data
The article considers issues on the calculation of an aircraft range capability on the basis of tactical radius data within different altitude and speed ranges. In some cases, it is necessary to calculate the enemy’s aircraft range capability. As a rule, such calculations do not have any documents, parameters (fuel flow rate and consumption per kilometre), and methodologies for fuel consumption calculation. Usually, open information sources also do not have any information about the enemy’s aircraft flight distance and time. Due to this fact, the need in indirect and approximate estimation of the enemy’s aircraft range capability with the use of information from public and common data is driven. Information about tactical radiuses within the enemy’s aircraft different altitude and speed ranges is the example of such public data. The proposed methodology for calculation of the enemy’s aircraft range capability allows to estimate the enemy’s capabilities in target attacks with 10% ratio error and can be used in combat management systems of surface ships and shorebased complexes. The methodology is also of great interest for operational and approximate estimation of own forces capabilities in case of the operational loading choice. More accurate calculations should be carries out on the basis of manuals on flight operation and time if such opportunity exists. Navigation calculation, tactical radius, range capability.


MATHEMATICAL MODELING
Andrei Vladimirovich Tsyganov, Ulyanovsk State Pedagogical University named after I.N. Ulyanov, Candidate of Physics and Mathematics, Associate Professor at Ulyanovsk State Pedagogical University named after I.N. Ulyanov; an author of papers, monographs, and textbooks; holds State Registration Certificates of computer programs; interested in metaheuristic and hybrid algorithms of stochastic and discrete minimization. [email: andrew.tsyganov@gmail.com]A. Tsyganov, Innokentiy Vasilyevich Semushin, Ulyanovsk State University, Doctor of Science in Engineering, Professor of Information Technologies Department at Ulyanovsk State University; an author of papers, monographs, and textbooks; holds patents for inventions; interested in filtering and control under uncertainty. [email: kentvsem@yandex.ru]I. Semushin, Iuliia Vladimirovna Tsyganova, Ulyanovsk State University, Candidate of Physics and Mathematics, Associate Professor of the Information Technologies Department at Ulyanovsk State University; an author of papers, a monograph, and textbooks; holds State Registration Certificates of computer programs; interested in parameter identification, adaptive filtering, and numerically efficient algorithms for stochastic systems. [email: tsyganovajv@gmail.com]I. Tsyganova, Aleksei Vladimirovich Golubkov, Ulyanovsk State Pedagogical University named after I.N. Ulyanov, Candidate for the Master’s Degree of Ulyanovsk State Pedagogical University named after I.N. Ulyanov; an author of papers; holds State Registration Certificates of computer programs; interested in mathematical modelling and programming. [email: kr8589@gmail.com]A. Golubkov, Stanislav Dmitriievich Vinokurov, Ulyanovsk State Pedagogical University named after I.N. Ulyanov, Postgraduate Student at Ulyanovsk State Pedagogical University named after I.N. Ulyanov; an author of papers; holds State Registration Certificates of computer programs; interested in mathematical modelling and programming. [email: phoenixdragonvista@ya.ru]S. Vinokurov


Metaheuristic Algorithms in the Issue of Identification of the Moving Object Mathematical Model Parameters
The article considers issues on the calculation of an aircraft range capability on the basis of tactical radius data within different altitude and speed ranges. In some cases, it is necessary to calculate the enemy’s aircraft range capability. As a rule, such calculations do not have any documents, parameters (fuel flow rate and consumption per kilometre), and methodologies for fuel consumption calculation. Usually, open information sources also do not have any information about the enemy’s aircraft flight distance and time. Due to this fact, the need in indirect and approximate estimation of the enemy’s aircraft range capability with the use of information from public and common data is driven. Information about tactical radiuses within the enemy’s aircraft different altitude and speed ranges is the example of such public data. The proposed methodology for calculation of the enemy’s aircraft range capability allows to estimate the enemy’s capabilities in target attacks with 10% ratio error and can be used in combat management systems of surface ships and shorebased complexes. The methodology is also of great interest for operational and approximate estimation of own forces capabilities in case of the operational loading choice. More accurate calculations should be carries out on the basis of manuals on flight operation and time if such opportunity exists.


Vladimir Kuzmich Manzhosov, Ulyanovsk State Technical University, Doctor of Engineering, Professor; graduated from the Faculty of Machinebuilding of Frunze Polytechnic Institute; Professor of the Department of Theoretical and Applied Mechanics and Building Constructions at Ulyanovsk State Technical University; an author of articles, monographs, and inventions in the field of dynamics of machines, shock processes modelling. [email: v.manjosov@ulstu.ru]V. Manzhosov, Artem Iurevich Rozhkov, Ulyanovsk State Technical University, Postgraduate Student, graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; an author of articles in the field of shock processes modelling. [email: tpm@ulstu.ru]A. Rozhkov


Modelling of Longitudinal Shock of the Rigid Solid Body to the Rod Interacting With the Rigid Barrier
Shock of a solid body to a rod with a tough barrier on the basis of a wave model of longitudinal shock is considered in numerous papers of domestic and foreign researchers. Various methods of the solution of the wave equation for determination of striking power and the rod stress and strain state are used. However, creation of analytical decisions represents the awkward procedure and, as a rule, it is limited to several cycles of distribution of the created deformation wave from shock section to a tough barrier and back. The procedure is complicated by the fact that the shock system is a mechanical one with unilateral constraints and, in order to analyze the dynamic process, determination of the moment of a contact gap and transition in case of this gap to other mathematical description of the system movement is required. The article considers the wave model of longitudinal shock of a solid body to a rod. The rod is represented by a set of integrated elements of small lengths taking into account wave processes in each element, transformation of waves on borders of elements interface, and unilateral constraints in shock section. Modelling results providing a possibility of the analysis of shock process, formation and distribution of deformation waves in a shock system, creations of charts of the stress and strain state of a rod system at any time point in case of shock are provided. Longitudinal shock, shock wave model, shock to barrier, modelling, deformation waves, deformation wave transmission.


Vladislav Nikolaevich Kovalnogov, Ulyanovsk State Technical University, Doctor of Engineering, Head of the Department of Heat Power Engineering of Ulyanovsk State Technical University; graduated from Kazan State University; an author of articles, monographs, and inventions in the field of simulation, research, and optimization of thermal and hydrogasdynamic processes in power installations and processing equipment. [email: kvn@ulstu.ru]V. Kovalnogov, Andrei Valentinovich Chukalin, Ulyanovsk State Technical University, Postgraduate Student at the Department of Heat Power Engineering of Ulyanovsk State Technical University; an author of articles and inventions in the field of numerical modelling of hydrogasdynamic processes. [email: chukalin.andrej@mail.ru]A. Chukalin, Larisa Valerevna Khakhaleva, Ulyanovsk State Technical University, Candidate of Engineering, Associate Professor at the Department of Heat Power Engineering of Ulyanovsk State Technical University; an author of articles and inventions in the field of numerical modelling of hydrogasdynamic processes. [email: larvall@mail.ru]L. Khakhaleva, Ruslan Vladimirovich Fedorov, Ulyanovsk State Technical University, Candidate of Engineering, Associate Professor at the Department of Heat Power Engineering of Ulyanovsk State Technical University; an author of articles and inventions in the field of numerical modelling of hydrogasdynamic processes. [email: r.fedorov@ulstu.ru]R. Fedorov, Anna Alekseevna Plekhanova, Ulyanovsk State Technical University, Third Year Student of the Thermal and Heat Engineering Course of the Power Department at Ulyanovsk State Technical University. [email: nyutka73@mail.ru]A. Plekhanova


Researching the Influence of the Number of Damping Cavities on Frictional Resistance of Turbulent Flow
As a result of experimental and numerical research of turbulent flow with effects on the basis of the modified model of the Prandtl mixing length with the use of pressure pulsation analysis, the structure and resistance of turbulent flow frictional resistance were calculated. The developed model of turbulent exchange and the calculation method allow to take adequately into account the features of the metabolic processes in the presence of damping cavities and predict the frictional resistance with the help of preliminary calculation. The possibility of reduction of the frictional resistance coefficient of a turbulent flow to 35 % was experimentally set with the use of damping cavities. The generalization of the influence of the amount of damping cavities on the frictional resistance was carried out. Damping cavities, mathematical modelling, frictional resistance, turbulent flow.


Vladimir Nikolaevich Kliachkin, Ulyanovsk State Technical University, Doctor of Engineering; graduated from the Mechanical Faculty of Ulyanovsk Polytechnic Institute; Professor at the Department of Applied Mathematics and Informatics of Ulyanovsk State Technical University; an author of scientific works in the field of reliability and statistical methods. [email: v_kl@mail.ru]V. Kliachkin, Ekaterina Aleksandrovna Zentsova, Ulyanovsk State Technical University, graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; Postgraduate Student at the Department of Applied Mathematics and Informatics of Ulyanovsk State Technical University; an author of scientific papers in the field of statistical process control. [email: e_zentsova@mail.ru]E. Zentsova


Design of an Adaptive Control Scheme for Multivariate Statistical Process Control
Statistical control of a technological process is used in order to guarantee the required quality level by implementing timely corrective actions when the process is instable. Quality of a product manufactured in a technological process is usually measured by multiple quality characteristics, part of them are correlated. Statistical control is carried out separately for groups of correlated and independent characteristics. Independent quality characteristics of a technological process can be controlled with standard Shewhart’s control charts. In order to monitor a set of correlated characteristics, a multivariate Hotelling’s control chart is used. The main purpose of this chart is to observe multivariate process settings level. This chart quickly detects large shifts in the multivariate process mean and often ignores small ones. In order to improve its performances in detecting small shifts in the mean vector, the adaptive control scheme design is proposed. Its parameters change according to predictions based on the current process status observations. The characteristics of different adaptive control schemes are designed in a standardized fashion to ensure the comparison of these schemes is meaningful and unbiased. Adaptive control scheme, hotelling’s control chart, markov chains.


Ekaterina Aleksandrovna Zentsova, Ulyanovsk State Technical University, graduated from the Faculty of Information Systems and Technologies at Ulyanovsk State Technical University; Postgraduate Student at the Department of Applied Mathematics and Informatics at Ulyanovsk State Technical University; an author of scientific papers in the field of statistical process control. [email: e_zentsova@mail.ru]E. Zentsova


Comparison of parameters optimization approaches of hotteling’s control chart
Quality of a product produced in a multivariate process is determined by multiple quality characteristics. If each characteristic of a set of correlated characteristics is controlled by an univariate control chart independently, it should lead to wrong conclusions. Unnecessary process stoppage and adjustment as well as incorrect detection of an outofcontrol process state are possible. Therefore, the statistical control of a process with correlated quality characteristics should be carried out using multivariate control charts. The most common multivariate statistical tool is a Hotelling’s control chart. It is used for technological process stability monitoring and allows detection of large shifts in the multivariate process settings level. In order to improve detection of small shifts, the implementation of adaptive control schemes with different sets of variable parameters is suggested. The use of these schemes implies tightening control of the process when a sample point on a plot exceeds the warning limit. That contributes to earlier detection of the process mean shift. The set of conditions that must be satisfied to perform a meaningful and unbiased comparison of these schemes is specified. On their basis an optimization problem is formulated. The period between an assignable cause occurrence and detection is used as an objective function. For solving the optimization problem a genetic algorithm is suggested. This study presents a design of six adaptive control schemes. Comparative analysis of their sensitivity for detecting different magnitude of the process shift is performed. Adaptive control scheme, hotelling’s control chart, markov chain, genetic algorithm.


INFORMATION SYSTEMS
Vitalii Evgenevich Dementiev, Ulyanovsk State Technical University, Candidate of Engineering, graduated from the Faculty of Radioengineering of Ulyanovsk State Technical University; Associate Professor at the Department of Telecommunications of Ulyanovsk State Technical University; an author of a monograph, articles and patents in the field of statistical processing of multidimensional signals and information security. [email: vkk@ulstu.ru]V. Dementiev, Hussein Abdulameer Abdulkadhim, Ulyanovsk State Technical University, Postgraduate Student at the Department of Ttelecommunications of Ulyanovsk State Technical University; finished his postgraduate studies and got a Master's Degree in Communication Engineering in the University of Technology in Baghdad (Iraq) and worked as an Assistant Lecturer in College of Engineering of Diyala University; an author of articles in the field of communication and radionavigation engineering. [email: hussein73@mail.ru]H. Abdulkadhim


Algorithms of estimating coordinates of aerial vehihles using spatial rangefinders
Estimation of coordinates of an autonomous aircraft is an important task that is necessary for automatic control. With the development of digital image processing technologies, it has become possible to solve this problem by processing the information obtained from the various devices installed on board and registering the environment. The approach has several advantages over the known solutions associated with the use of satellite and inertial navigation systems. Among the advantages, the authors note the possibility of work in the absence of signals of satellite navigation and low error of positioning that is in little dependence on length and status of the motion path. The article presents some results of synthesis and analysis of the navigation algorithms of an autonomous aircraft using only a spatial rangefinder. The article also shows that the accuracy of such navigation is sufficient for many practical applications. The ways of the positioning procedures are analyzed through the use of existing samples of computing. Autonomous aircrafts, estimation of coordinates, positioning, image processing.


Aleksei Evgenevich Sulavko, Omsk State Technical University, Candidate of Engineering; graduated from the Faculty “Information Systems in Management” of Siberian State Automobile and Highway Academy; Senior Teacher at Omsk State Technical University; an author of more than 50 articles in the field of biometrics and image identification in information and industrial security systems. [email: sulavich@mail.ru]A. Sulavko, Aleksandr Valerevich Eremenko, Omsk State Transport University, Candidate of Engineering; graduated from the Faculty “Information Systems in Management” of Siberian State Automobile and Highway Academy; Design Engineer at Omsk State Transport University; an author of more than 35 articles in the field of biometrics and image identification in information and industrial security systems. [email: nexus@mail.ru]A. Eremenko, Samal Sagidullovna Zhumazhanova, Omsk State Technical University, graduated from the Faculty “Information Systems in Management” of Siberian State Automobile and Highway Academy; Postgraduate Student at Omsk State Technical University; an author of 7 articles in the field of biometrics and image identification in information and industrial security systems. [email: samal_shumashanova@mail.ru]S. Zhumazhanova, Ekaterina Viktorovna Buraia, Ufa State Aviation University, graduated from Ufa State Aviation University; Postgraduate Student of Ufa State Aviation University; an author of 5 articles in the field of biometrics. [email: burka777@yandex.ru]E. Buraia


Generation of Key Sequences and Verification of Subjects on the Basis of a Twodimensional Image of the Face
The problem of data protection from unauthorized access was considered. Generation of keyspasswords based on biometric parameters of the face for authentication of subjects is proposed. The authors discuss various approaches to generation of bit sequences of biometric data such as a fuzzy extractor, neural networks biometricscode converter on the basis of a perceptron network trained in accordance with GOST R 52633.52011, using neural networks based on the Pearson’s metrics. The database of 70 subjects’ faces was constructed. The space of 46 facial features was formed. Assessment of the probability of subjects verification errors in the facial parameters on the basis of these approaches was carried out. According to the results of the experiment, neural network converters work better than fuzzy extractors, perceptions are inferior in reliability of the generating key to Pearson networks. The following results in the generation of key sequences were obtained: fuzzy extractors: FRR = 0.032, FAR = 0.014 in case of 42 bit key length; perceptron networks: FRR = 0.014, FAR = 0.029 in case of 100 bit key length; PearsonHemming network: FRR = 0.0039, FAR = 0.0022 in case of 120 bit key length. Physiological parameters of the face, fuzzy extractor, artificial neural networks, biometricscode converter, networks of quadratic forms.


Anatolii Afanasevich Gladkikh, Ulyanovsk State Technical University, Doctor of Engineering, graduated from S.M. Budyonny Military Communication Academy, finished his postgraduate studies at the same Academy; Professor at the Department of Telecommunications at Ulyanovsk State Technical University; an author of monographs, textbooks, research papers, and patents in the field of noiseless coding and information security. [email: a.gladkikh@ulstu.ru]A. Gladkikh, Sergei Mikhailovich Namestnikov, Ulyanovsk State Technical University, Candidate of Engineering, graduated from Ulyanovsk State Technical University, finished his postgraduate studies at the same University; an author of papers in the field of static methods of signals processing. [email: sernam@ulstu.ru]S. Namestnikov, Nikita Aleksandrovich Pchelin, Federal ResearchandProduction Center Joint Stock Company ‘ResearchandProduction Association ‘Mars’, graduated from Ulyanovsk High Education Military Communications Academy; Chief Designer at Federal ResearchandProduction Center Joint Stock Company ‘ResearchandProduction Association ‘Mars’; an author of papers in the field of noiseless coding. [email: pna3@yandex.ru]N. Pchelin


Efficient Permutation Decoding of Binary Block Redundant Codes
The article describes a method of decoding of binary block redundant codes with the use of ordered statistics, which is implemented in the framework of permutation decoding (PD). Such algorithms are most effectively used in control systems in order to protect data against errors when sending them along the channels subjected to the influence of destructive factors. On the one hand, the advantage of permutation decoding is the possibility of processing of code vectors of the computed equivalent code outside the Hamming metric, which provides a significant energy code gain (ECG). On the other hand, the process of identifying the properties of rearranged matrix linearity of the equivalent code and bringing this matrix to the systematic form in case of confirmation of the properties of linearity, is a difficult task in the attitude of computation. The complexity of the computational process becomes exponential with increasing length of code vectors. In this context, the authors propose a new method for fast matrix transformations to allow normalizing the computational process of finding the matrix of the equivalent block code of virtually any length to polynomial complexity. The authors also introduce the concept of a decoder cognitive map. The probabilistic characteristics of the proposed decoders obtained by analytical modelling of communication channels with various streams of errors are given. Soft symbol solution, permutation decoding, decoder cognitive map, concatenated coding.


Aleksandr Petrovich Pinkov, Ulyanovsk State Technical University, Candidate of Economics, graduated from Ulyanovsk branch of Kuibyshev Planning Institute; Acting Rector of Ulyanovsk State Technical University, an author of more than 50 papers, a monograph, and articles in the field of economics, planning, marketing, production engineering, higher education organization, and corporate training. [email: rector@ulstu.ru]A. Pinkov, Aleksandr Nikolaevich Afanasev, Ulyanovsk State Technical University, Doctor of Engineering, Professor; graduated from the Radioengineering Faculty of Ulyanovsk Polytechnic Institute; First ViceRector for Distance and Extended Education at Ulyanovsk State Technical University; an author of more than 200 articles in the field of CAD, interested in automated training systems, computational process and computer structure organization, intelligent system design, CAD, composite workflow control, graphic language diagrammatics. [email: a.afanasev@ulstu.ru]A. Afanasev, Nikolai Nikolaevich Voit, Ulyanovsk State Technical University, Candidate of Engineering, Associate Professor at the Department of Computer Science of Ulyanovsk State Technical University; graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; an author of more than 114 articles in the field of intelligent CAD systems, CASE and CALS technologies; interested in intelligent systems for development of complex computeraided systems, automated training systems, graphical languages and grammatics. [email: n.voit@ulstu.ru]N. Voit, Dmitrii Sergeevich Kanev, Ulyanovsk State Technical University, graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; Chief Staff Scientist at the Department of Computer Science of Ulyanovsk State Technical University; an author of more than 20 articles in the field of CAD; interested in development and distribution of firmware systems intended for maintenance, intensification, and increase of trainee involvement in educational process with the use of information technologies. [email: dima.kanev@gmail.com]D. Kanev


Development of Methods and Means of Computer Systems for Machine Objects Cad Training
Currently, the most promising areas in the field of computerbased training are adaptive and multimedia technologies. The main objective of adaptive learning systems (ALS) is the implementation of learning management taking into account the individual characteristics of users. Adaptive methods can reduce the time and improve the efficiency of the learning process at the expense of the users held in an optimal training zone, changing the sequence of presentation material and tasks, content, learning pace and load. The article provides the analysis of the existing methods for construction of adaptive automated training systems, their advantages and disadvantages are determined. ALS with the author's method of synthesis of a learning path, the method for correcting the student's profile through automatic analysis of operations carried out in CAD software packages (by the example of COMPASS CAD system). Automated training systems, domain model, student model, adaptation methods, recommendations system.


ARTIFICIAL INTELLIGENCE
Pavel Vladimirovich Dudarin, Ulyanovsk State Technical University, Postgraduate Student at the Department of Information Systems of Ulyanovsk State Technical University (UlSTU); graduated from the Ulyanovsk State Technical University; an author of papers in the field of text clustering. [email: PDudarin@ibs.ru]P. Dudarin, Aleksandr Petrovich Pinkov, Ulyanovsk State Technical University, Candidate of Economics, graduated from Ulyanovsk branch of Kuibyshev Planning Institute; Acting Rector of Ulyanovsk State Technical University, an author of more than 50 papers, a monograph, and articles in the field of economics, planning, marketing, production engineering, higher education organization, and corporate training. [email: rector@ulstu.ru]A. Pinkov, Nadezhda Glebovna Yarushkina, Ulyanovsk State Technical University, Doctor of Engineering, Professor; First ViceRector  ViceRector for Scientific Affairs of Ulyanovsk State Technical University; Head of the Department of Information Systems of UlSTU; graduated from Ulyanovsk Polytechnic Institute; an author of more than 300 papers in the field of soft computing, fuzzy logic, and hybrid systems. [email: jng@ulstu.ru]N. Yarushkina


Methodology and the Algorithm for Clustering Economic Analytics Object
The purpose of the study, the results of which are described in the article, consist in developing new and modified methods and algorithms for solving the problem of clustering objects of economic analytics. The use of known algorithms for clustering formulations of economic indicators in order to determine the similarity of objects is complicated by the fact that the formulation of indicators are very short and the traditional indicators of terms occurrence (frequency) are inadequate. In addition, widespread occurrence of interviews and various forms of questionnaires in economic analysis implies the use of linguistic estimates. For example, "customer satisfaction level" indicator is difficult to quantify, so, instead of conventional points, fuzzy values such as “high”, “medium”, “low” are often used. As a result, it becomes feasible to use a fuzzy variant of the kmeans method  the method of fuzzy kmeans. Typically, the number of indicators in economic analysis is quite big, which makes it advisable to modify the algorithm on the basis of parallel execution. The study addresses the following issues: the kmeans method is modified, it is adapted to the characteristics of the economic analytics objects; the methodology of data preprocessing for clustering is developed; new versions of clustering objects of economic analytics are developed, and experimental research of the effectiveness of the developed methods for large volumes of data is carried out. Fcmалгоритм, clustering, method of kmeans, economic analysis, big data, fcmalgorithm, parallelization.


Irina Aleksandrovna Sedykh, Lipetsk State Technical University, Candidate of Physics and Mathematics, graduated from the Faculty of Automatization and Information Technologies of Lipetsk State Technical University (LSTU); Associate Professor at the Department of Mathematics of Lipetsk State Technical University; an author of monographs and articles, holds State Registration Certificates of computer programs in the field of neighborhood modelling of dynamic systems. [email: sedykhirina@yandex.ru]I. Sedykh, Dmitrii Sergeevich Demakhin, Lipetsk State Technical University, graduated from the Faculty of Physics and Technology of Lipetsk State Technical University; Candidate for the Master’s Degree at LSTU; an author of articles, holds State Registration Certificates of computer programs in the field of neighborhood modelling of dynamic systems. [email: dimademahin@mail.ru]D. Demakhin


Flexible Control of Traffic Lights System on the Basis of Neural Networks
The traditional algorithm of crossroad traffic management with fixed order and switchingon duration was described in the article. Neural networksbased kind of control for crossroad group of traffic lights was offered as an alternative. The appropriate algorithm has been developed and realized in C++. The basic characteristics of designed neural network for crossroad traffic lights control were described. They include the architecture, assignment of neurons for input and output layers, the number of intermediate layer neurons, the activation function of neurons, the learning method. The realized neural networkbased algorithm allows to put in practice flexible control of coordination traffic lights in case of the nonfixed order of traffic lanes priorities. Herewith, the possibility of change in green time of traffic light signal within predetermined limits with the aim of increasing capacity of crossroads in most problematic directions of transport movements was foreseen. Also, restrictions for prevention of blocking segregate streams for too long including blocking pedestrians in crosswalks were provided. Traffic lights systems, mathematical modelling, neural networks, crossroad traffic management.


ELECTRICAL ENGINEERING AND ELECTRONICS
Sergei Viacheslavovich Vasin, Ulyanovsk Branch of Kotel’nikov Institute of Radioengineering and Electronics (IRE) of the Russian Academy of Sciences (RAS), Candidate of Physics and Mathematics; graduated from Physics and Technology Faculty оf Ulyanovsk branch of Moscow State University; Senior Scientist at Ulyanovsk Branch of Kotel’nikov Institute of Radioengineering and Electronics (IRE) of the Russian Academy of Sciences (RAS); Associate Professor at the Department of Radioengineering, Opto and Nanolectronics of Ulyanovsk State Technical University; an author of papers in the field of fiber optics, methods of inspection of semiconductors and semiconductor devices. [email: s.vasin@outlook.com]S. Vasin, Oleg Vitalevich Ivanov, Ulyanovsk Branch of Kotel’nikov Institute of Radioengineering and Electronics and at Technological Research Institute of Ulyanovsk State University, Doctor of Physics and Mathematics; graduated from Physics and Technology Faculty оf Ulyanovsk branch of Moscow State University; Scientist at Ulyanovsk Branch of Kotel’nikov Institute of Radioengineering and Electronics and at Technological Research Institute of Ulyanovsk State University; Professor at the Department of Radioengineering, Opto and Nanolectronics of Ulyanovsk State Technical University; an author of papers in the field of fiber optics, optics of anisotropic media and thin films. [email: olegivvit@yandex.ru]O. Ivanov


Development of a Control and Interrogation Scheme of a Fiberoptic Bend Sensor Based on Double Cladding Fiber
The control and interrogation scheme of the fiber optic bend sensor was developed and implemented. The structure of the sensor is formed by inserting a section of SM630 fiber with double cladding between standard SMF28 singlemode fibers. The operating principle of the sensor is based on conversion between core and cladding modes. The modes are coupled at the junction of the fibers with different refractive index profiles. Two laser diodes with the wavelengths of 1328 and 1545 nm are used for sensor interrogation. At these two wavelengths, the dependences of fiber transmittance on bending are significantly different. A microcontroller is used to control and collection data from a photodetector. The article shows that the proposed and implemented scheme allows the sensor to measure bends with curvature radii from meters to 26 cm with a measurement error less than 1%. Optical fiber, cladding modes, fiber optic bend sensor.


