Radio Electronics, Computer Science, Control
http://ric.zntu.edu.ua/
<p dir="ltr" align="justify"><span><strong>Description:</strong> The scientific journal «Radio Electronics, Computer Science, Control» is an international academic peer-reviewed publication. It publishes scientific articles (works that extensively cover a specific topic, idea, question and contain elements of their analysis) and <span lang="EN">r</span><span lang="RU">eviews (works containing analysis and reasoned assessment </span><span lang="EN">of </span><span lang="RU">the author's original or </span><span lang="EN">published </span><span lang="RU">book)</span> that receive an objective review of leading specialists that evaluate substantially without regard to race, sex, religion, ethnic origin, nationality, or political philosophy of the author(s).<span id="result_box2" lang="en"><span class="hps"><br /> </span></span><strong>Founder and </strong></span><strong><span>Publisher</span></strong><span><strong>:</strong> <a href="http://zntu.edu.ua/zaporozhye-national-technical-university">Zaporizhzhya National Technical University</a><span lang="uk">.</span> </span><strong><span>Country:</span></strong><span> Ukraine<span lang="uk">.</span><span id="result_box1" lang="en"><span class="hps"><br /> </span></span><strong>ISSN</strong> 1607-3274 (print), ISSN 2313-688X (on-line).<span id="result_box3" lang="en"><span class="hps"><br /> </span></span><strong>Certificate of State Registration:</strong> КВ №6904</span><span lang="uk">. </span><span>The journal was registered by the State Committee for information policy, television and radio broadcasting of Ukraine in 29.01.2003.<span id="result_box4" lang="en"><span class="hps"><br /> </span></span>In accordance with the decision of the <span lang="en-us">P</span>residium of All-Ukrainian Certification Commission (<span lang="uk">№ </span>1-05/4 dated 05.26.2010<span lang="uk">) </span>the journal <span lang="en-us">"Radio Electronics, Computer Science, Control" was included </span>in the <strong>List of the <span lang="en-us">scientific specialized periodicals of </span>Ukrain<span lang="en-us">e</span></strong> where <span lang="en-us">the results of dissertations for PhD and D. Sc. </span>in <span lang="en-us">Technical Sciences</span>, Physics and Mathematics (with specialization in Radiophysics) may be published.</span><span><span id="result_box25" lang="en"><span class="hps"><br /> </span></span><span id="result_box26" lang="en"><span class="hps">By the Order of the Ministry of Education and Science of Ukraine from 12.21.2015 № 1328 "On approval of the decision of the Certifying Collegium of the Ministry on the activities of the specialized scientific councils dated 15 December 2015" journal is included in the <strong>List of scientific specialized periodicals of Ukraine</strong>, where the results of dissertations for Doctor of Science and Doctor of Philosophy in Mathematics and Technical Sciences may be published.</span></span><span id="result_box27" lang="en"><span class="hps"><br /> </span></span></span><strong> <span>Year of Foundation:</span></strong><span> 1999. </span><strong><span>Frequency :</span></strong><span> 4 times per year (before 2015 - 2 times per year).<span id="result_box6" lang="en"><span class="hps"><br /> </span></span></span><strong> <span>Volume</span></strong><span><strong>:</strong> up to 20 conventional printed sheets. </span><strong><span>Format:</span></strong><span> 60x84/8. <span id="result_box7" lang="en"><span class="hps"><br /> </span></span></span><strong> <span>Languages:</span></strong><span> English, Russian, Ukrainian.<span id="result_box8" lang="en"><span class="hps"><br /> </span></span></span><strong> <span>Fields of Science :</span></strong><span> Physics and Mathematics, Technical Sciences.<span id="result_box9" lang="en"><span class="hps"><br /> </span></span></span><strong> <span>Aim: </span></strong><span>serve to the academic community principally at publishing topical articles resulting from original research whether theoretical or applied in various aspects of academic endeavour<span lang="ru">.</span></span><span><strong><br /> </strong></span><strong> <span>Focus:</span></strong><span> fresh formulations of problems and new methods of investigation, help for professionals, graduates, engineers, academics and researchers disseminate information on state-of-the-art techniques according to the journal scope.<br /> <span> <strong>Scope:</strong></span> radio physics, micro-, nano- and radio electronics, computer hardware and software, computer networks and telecommunications, algorithm and programming theory, optimization and operations research, machine-machine and man-machine interfacing, mathematical modeling and computer simulation, data and signal processing, control in technical systems, artificial intelligence, including knowledge-based and expert systems, data mining, pattern recognition, artificial neural and neuro-fuzzy networks, fuzzy logics, swarm intelligence and multiagent systems, hybrid systems.</span><span><strong><br /> </strong></span> <span> <strong><span> Journal sections:</span></strong><span><span id="result_box10" lang="en"><span class="hps"><br /> </span></span></span></span> <span> - radiophysics;<span id="result_box11" lang="en"><span class="hps"><br /> </span></span>- radio electronics and telecommunications;<span id="result_box12" lang="en"><span class="hps"><br /> </span></span>- mathematical and computer modelling;<span id="result_box13" lang="en"><span class="hps"><br /> </span></span>- neuroinformatics and intelligent systems;<span id="result_box14" lang="en"><span class="hps"><br /> </span></span>- progressive information technologies;<span id="result_box15" lang="en"><span class="hps"><br /> </span></span>- theory and methods of automatic control;<span id="result_box16" lang="en"><span class="hps"><br /> </span></span>- control in technical systems.</span><span><span><span id="result_box17" lang="en"><span class="hps"><br /> </span></span><strong>Abstracting and Indexing:</strong> <strong>The journal is indexed in <a href="http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&Full=Radio%20Electronics%20Computer%20Science%20Control" target="_blank">Thomson Reuters Web of Science</a></strong><span> (WoS) scientometric database</span><span>. </span> </span></span>The articles, published in the journal<span lang="en-us">,</span> are abstracted in leading international <span lang="en-us">and </span>national <strong>abstract<span lang="en-us">ig</span> journals</strong> and <strong>scientometric databases</strong>, and also are placed <span lang="en-us">to</span> the <strong>digital archives</strong> and <strong>libraries</strong> with free on-line<span lang="en-us"> access: Academic Keys, ACNP, ADAT, Akademik Dizin, ARDI, BASE, CiteFactor, CNKI, COPAC, CrossRref, DIIF, DOAJ, DOI, DRJI, EBSCO, eLibrary.ru, ETOC, Exlibris, EZB, GBV/GVK, GENERAL IMPACT FACTOR, GetInfo, GIF, Google Scholar, Impactfactor.pl, Index Copernicus, INSPEC, ISRA JIF, ISSN, JIFACTOR, Jour Informatics, Journalindex.net, JournalTOCs, Konferencii.ru, MIAR, OAIster, OAJI, Open Science Directory, Openaccessarticles, Openaire, Perechen-izdaniy.ru, PUBGET, Research Bible, ROAD, Scholar Steer, Sciary, SHERPA/RoMEO, SIS, SJIF, SJournals, SSM, UIF, WorldCat, WorldWideScience, ZDB, VINITI, Djerelo, UINC, Ukraininca Naukova, Ulrich’s Periodical Directory, Universia, URAN, V. I. Vernadsky National Library of Ukraine, and others which are listed and described <a href="/about/editorialPolicies#custom-0">here</a>.</span></p><p dir="ltr" align="justify"><span><span><strong>Editorial board: </strong><em>Editor in chief</em> - <span><span>S. A. Subbotin</span></span> , D. Sc., Professor; <em>Deputy Editor in Chief</em> - D. M. Piza, D. Sc., Professor. The <em>members</em> of Editorial Board are listed <a href="/about/editorialTeam">here</a>.<span id="result_box19" lang="en"><span class="hps"><br /> </span></span><strong>Publishing and processing fee:</strong> Articles are published and peer-reviewed <strong>free of charge</strong>.<span id="result_box20" lang="en"><span class="hps"><br /> </span></span></span><strong> <span>Authors Copyright: </span></strong><span>The journal allows the authors to hold the copyright without restrictions and to retain publishing rights without restrictions. The journal allows readers to read, download, copy, distribute, print, search, or link to the full texts of its articles. The journal allows to reuse and remixing of its content, in accordance with a Creative Commons license СС-BY.<span id="result_box21" lang="en"><span class="hps"><br /> </span></span></span><strong> <span>Authors Responsibility:</span></strong><span> Submitting the article to the journal, authors hereby assume full responsibility for the copyright compliance of other individuals and organizations, the accuracy of citations, data and illustrations, nondisclosure of state and industrial secrets, express their consent to transfer for free to the publisher the right to publish, to translate into foreign languages, to store and to distribute the article materials in any form. Authors who have scientific degrees, submitting the article in the journal, thereby giving their consent to free act as reviewers of other authors articles at the request of the journal editor within the established deadlines. The articles submited to the journal must be original, new and interesting to the reader audience of the journal, have reasonable motivation and aim, be previously unpublished and not be considered for publication in other journals. Articles should not contain trivial and obvious results, make unwarranted conclusions and repeat conclusions of already published studies.<span id="result_box22" lang="en"><span class="hps"><br /> </span></span></span><strong> <span>Readership: </span></strong><span>scientists, university faculties, postgraduate and graduate students, practical specialists.<span id="result_box23" lang="en"><span class="hps"><br /> </span></span></span><strong> <span>Publicity and Accessing Method :</span></strong><span> <strong>Open Access</strong> on-line for full-text publications<span id="result_box24" lang="en"><span class="hps">.</span></span></span></span></p><p dir="ltr" align="justify"><span><strong><span style="font-size: small;"> <img src="http://journals.uran.ua/public/site/images/grechko/1OA1.png" alt="" /> <img src="http://i.creativecommons.org/l/by-sa/4.0/88x31.png" alt="" /></span></strong></span></p>en-US<h3 align="justify"><span style="font-size: small;">Creative Commons Licensing Notifications in the Copyright Notices</span></h3><p align="justify"><span style="font-family: Verdana, Arial, Helvetica, sans-serif; font-size: small;">Authors who publish with this journal agree to the following terms:</span></p><ul><li><p align="justify"><span style="font-family: Verdana, Arial, Helvetica, sans-serif; font-size: small;">Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a <a href="http://creativecommons.org/licenses/by/3.0/" target="_new">Creative Commons Attribution License</a> that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.</span></p></li><li><p align="justify"><span style="font-family: Verdana, Arial, Helvetica, sans-serif; font-size: small;">Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.</span></p></li><li><p align="justify"><span style="font-family: Verdana, Arial, Helvetica, sans-serif; font-size: small;">Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.</span></p></li></ul>subbotin.csit@gmail.com (Сергій Олександрович Субботін)rvv@zntu.edu.ua (Andrii A. Dmitrenko)Thu, 04 Oct 2018 12:10:39 +0300OJS 2.4.4.1http://blogs.law.harvard.edu/tech/rss60THE THERMAL PROCESSING INFLUENCE ON CURRENT-VOLTAGE CHARACTERISTIC AND INJECTION PROPERTIES OF HETEROJUNCTIONS
http://ric.zntu.edu.ua/article/view/141725
Context. Nowadays the research and development of heterojunctions are carried out to search new metal-gallium arsenide compositions,<br />the development of technological regimes which could ensure the microwave devices with Schottky barriers parameters reproducibility.<br />Comparing to gold, silver has a large thermal and electrical conductivity, a relatively small diffusion coefficient to gallium arsenide, which<br />makes it possible to reduce the transition layer thickness. The transition to silver-based metallization should improve the products technical<br />characteristics. The technological regimes development for manufacturing improved silver-based heterojunctions to GaAs is relevant from scientific and practical points of view.<br />Objective. The goal of the work is to determine the heat treatment influence on real current-voltage characteristics and the injection<br />coefficient value of the Ag/n-n+GaAs heterojunction.<br />Method. The heterojunctions manufacturing method is vacuum thermal evaporation. The calculation of the heterojunction parameters<br />was made by the current-voltage characteristics method.<br />Results. The GaAs-substrate chemical treatment regime is recommended. The heat treatment effect on the Ag/n-n+GaAs heterojunctions parameters and characteristics is studied. The barrier height influence on the injection coefficient value was investigated. Various methods for determining the Schottky barrier height and the nonideality factor for the current-voltage characteristics have been examined and tested.<br />Conclusions. It is established that the annealing temperature increase up to 803 K gives the highest barrier height for the Ag/n-n+GaAs<br />heterojunction with a donor density of ND=2 1016 cm–3 into epitaxial layer. It has been established that the most accurate method for the<br />heterojunction parameters determining using the current-voltage characteristic is the direct approximation method, which takes into account the effect of the series resistance in determining the nonideality factor and the Schottky barrier height. The calculated injection coefficients for heterojunctions with different Schottky barrier heights, obtained at different annealing temperatures, have very small values, therefore, hole injection can be neglected.V. S. Dmitrievhttp://ric.zntu.edu.ua/article/view/141725ALGORITHMS OF SIMULATION OF TECHNICAL SERVICE PROCESSES AS COMPLEX RADIOELECTRONIC OBJECTS
http://ric.zntu.edu.ua/article/view/141823
<p>Context. Development of complex radioelectronic facilities and maintenance is impossible without the development of models and<br />software, to optimize these processes. For this, the corresponding algorithms have been developed in the work, which are part of the software, which is an urgent task.<br />Objective. The purpose of this work is to develop approaches to improve the reliability of the object and reduce the cost of its operation<br />based on the use of simulation statistical modeling.<br />Method. The method of investigation is based on the idea that the technical state of an object is determined by the technical state of its<br />elements, and the concept of a determining parameter is used to determine the technical state of an element. The value of the parameter can be controlled by means of diagnostics. As the models of element failures, a DN-distribution is used.<br />Results. The developed algorithms are an integral part of the simulation statistical model of the object. The simulation allows to<br />determine the optimal design characteristics of the object and the parameters of its maintenance, and the criterion is to maximize reliability indicators and minimize the cost of operating the facility.<br />Conclusions. The scientific novelty of the work is to improve the state maintenance algorithms, which, unlike the existing ones, use the<br />predictive parameter of the average degradation rate of the element’s determining parameter based on the three-parameter exponential<br />smoothing model. Practical value consists in the development of algorithms that form the basis of software that implements the process of determining reliability indicators and the cost of operating an object of radioelectronic equipment from the structural composition of the facility itself and the parameters of maintenance.</p>G. В. Zhyrov, E. S. Lenkovhttp://ric.zntu.edu.ua/article/view/141823METHOD OF NUMERICAL ANALYSIS OF THE PROBLEM OF MASS TRANSFER OF A CYLINDRICAL BODY WITH THE UNIFORM TRANSLATIONAL FLOW
http://ric.zntu.edu.ua/article/view/142599
Context. The problem of mass transfer of a cylindrical body with a uniform translational flow of a viscous incompressible fluid is<br />examined in the paper.<br />Objective. The purpose of this work is to develop a new method for numerical analysis of the problem of mass transfer of a cylindrical<br />body with a uniform translational flow, which based on the joint application of the R-functions structural method and the Galerkin<br />projection method.<br />Method. In general case, the problem of stationary mass transfer of a cylindrical body with a viscous incompressible fluid flow is reduced<br />to the solution of the equation of hydrodynamic flow passing a surface and an equation for concentration with corresponding boundary<br />conditions on the surface of the body and far away from it. The geometry of the area, and also the boundary conditions (including the<br />condition at infinity) may be taken into account precisely by using the constructive apparatus of the R-functions theory by V. L. Rvachev,<br />the Academician of Ukrainian National Academy of Sciences. In this study, a complete structure of the solution of a linear boundary value<br />problem for the concentration that exactly satisfies the boundary conditions on the boundary and condition at infinity is constructed on the basis of the R-functions theory methods, and this made it possible to lead the tasks in the infinite domain to tasks in the finite domain. To<br />solve the linear problem for concentration the numerical algorithm on the basis of Galerkin method is developed.<br />Results. The computational experiment for the problem of the flow past circular and elliptical cylinders at various Reynolds and Peclet<br />numbers was carried out.<br />Conclusions. The conducted experiments have confirmed the efficiency of the proposed method of numerical analysis of the problem<br />of mass transfer of a cylindrical body with a uniform translational flow, based on the joint application of the R-functions structural method<br />and Galerkin projection method. The prospects for the further research may be to use the developed method for the implementation of<br />iterative methods for solving the task of nonlinear mass transfer, semi-discrete and projection methods for solving the non-stationary<br />tasks, as well as in solving the tasks of optimal management of relevant technological processes.S. N. Lamtyugova, M. V. Sidorov, I. V. Sytnykovahttp://ric.zntu.edu.ua/article/view/142599THE AUTOMATIC SPEAKER RECOGNITION SYSTEM OF CRITICAL USE CLASSIFIER OPTIMIZATION
http://ric.zntu.edu.ua/article/view/142611
Context. The questions of adapting the convolution neural network classifier use in automatic speaker recognition system of critical use<br />(ASRSCU) are considered. The research object is the individual features of the human speech process.<br />Objective. Development of means for separating individual features from the speaker’s speech signal, increasing their informativeness as<br />a result of the factor analysis, their visual representation for the use of the convolution neural network classifier, and optimizing its<br />architecture for the needs of ASRSCU.<br />Method. Measures are proposed to optimize the speaker recognition procedure of the ASRSCU, for which the optimal way of informative<br />features representation and the method of increasing their informativeness are theoretically justified, the topology and measures for increasing<br />of the speaker recognition process efficiency are justified. In particular, it is justified the use of power normalized cepstral coefficients (PNCC)<br />for the description of phonograms recorded in noisy environment conditions. We propose to use Gabor filters to represent information that<br />will be analyzed by a convolution neural network, an optimal method of factor analysis (a sparse main components analyzing method) to<br />reduce of the features vector length while preserving its informativeness, an improved topology of the convolution neural network in which<br />the Gabor filters are integrated in to the convolution layer, which allows them to optimize their parameters during the neural network training<br />process, and in a fully connected layer a deep neural network with a bottleneck layer is used, whose weights after training are uses as inputs for<br />the GMM/HMM control classifier.<br />Results. Methods of representation and optimization of the speaker’s individual features, methods for their visual presentation and<br />improvement of the topology of a convolution neural network for making speaker recognition on their basis.<br />Conclusions. The obtained theoretical results have found empirical confirmation. In particular, the stability of an improved convolution<br />neural network to the noisy input phonograms proved to be higher than the results of an ordinary convolution neural network and a deep neural<br />network. With an SNR increase up to 10 dB, the GMM/HMM classifier is more efficient than the neural network, which can be explained by the efficiency of the used UBM models, but it is much more resource-intensive. Also, the parameters of the Gabor filter bank frames that<br />provide the most variable individual features from the speech signal for speaker recognition are determined empirically.O. V Bisikalo, T. V. Grischuk, V. V. Kovtunhttp://ric.zntu.edu.ua/article/view/142611OPTIMIZATION OF PARAMETERS OF MACHINE LEARNING OF THE SYSTEM OF FUNCTIONAL DIAGNOSTICS OF THE ELECTRIC DRIVE OF A SHAFT LIFTING MACHINE
http://ric.zntu.edu.ua/article/view/142626
Relevance. The actual task of increasing the functional efficiency of machine learning of the system of functional diagnosis of the<br />electric drive of a hoisting mine machine is solved.<br />The specific objective of this study was to develop a method for the information synthesis of a learning system for the functional<br />diagnosis of the electric drive of a hoisting mine machine, which allows increasing the reliability and efficiency of diagnostic solutions in<br />accordance with the decisive rules built in the process of machine learning.<br />Method. The method of information-extreme machine learning of the system of functional diagnosis of the electric drive of a minehoisting<br />machine is proposed, based on the maximization of the information capacity of the system in the process of its training. Based on<br />the computer-generated optimal learning parameters of the hyperspherical containers of the recognition classes, within the framework of the geometric approach, decisive rules that are practically invariant to the spatiality of the space of diagnostic features are constructed. In addition, increasing the efficiency of machine learning systems is achieved by parallel-sequential optimization of control tolerances for diagnostic features. In this case, the quasi-optimal control tolerances for diagnostic tests obtained during parallel optimization are used as start-ups for their sequential optimization. As a criterion for optimizing the parameters of machine learning, the modified information measure of Kulbak is used, which is a functional of the accuracy characteristics of diagnostic solutions.<br />Results. The algorithmic and software for machine learning of the system for functional diagnosis of the electric drive of a mine<br />hoisting machine has been developed, which makes it possible to build decisive rules for the adoption of highly reliable diagnostic solutions<br />when the system is in operation.<br />Conclusions. The results of physical modeling confirm the operability of the proposed method of machine learning and the developed<br />software of the functional diagnosis system of the electric drive of a hoisting mine machine, which allows them to be recommended for<br />solving practical problems of diagnosing and automatic control of traction machines.A. S. Dovbysh, D. V. Velykodnyi, O. B. Protsenko, V. I. Zimovetshttp://ric.zntu.edu.ua/article/view/142626APPLICATION OF ACOUSTIC ANALYSIS IN CONTROL SYSTEMS OF ROBOTIC MACHINE TOOLS
http://ric.zntu.edu.ua/article/view/142940
Relevance. The problem of controlling complex technological machines such as machines with mechanisms based on kinematics with<br />parallel structure is given consideration in the article in order to improve accuracy of positioning of actuators, to ensure their dynamic<br />adjustment and optimization of trajectories of displacement of operating elements of the equipment (cutting tools, assembling or controlling<br />instruments). The object of the study is the model of the operating area of a mobile robotic machine tool.<br />Objective. The goal of the work is to create a concept for controlling a mobile robotic machine tool applying acoustic control on the<br />basis of a reference model based on deep neural networks.<br />Method. A method of identification and control of a mobile robotic machine tool using spectral description of absorption of acoustic<br />wave with further processing of obtained information is offered. This method allows determining accuracy of positioning of actuators, as<br />well as conducting dynamic adjustment and optimization of trajectories of displacement of operating elements of the equipment. A method<br />of acoustic analysis for precision machining on machine tools with parallel kinematics has been developed.<br />Results. A neural network reference model has been constructed, which allows to diagnose current characteristics of the state of objects<br />in different conditions, namely mechanism’s configuration, mechanism’s geometric parameters while running motor-spindle, dynamics of<br />displacement of mechanism’s nodes of the experimental stand with variable velocities and load on the drive, as well as temperature changes of the object. The developed neural network models also were tested for adequacy.<br />Conclusions. The experiments on the study of the dependency between the parameters of the spectrum of the acoustic signal with a<br />given discreteness disturbed by excitatory effect in the form of “white noise” confirmed efficiency of this approach. Prospects for further<br />research may consist in creation of methods for optimal control of complex technological machines to improve accuracy of positioning<br />of actuators and to improve their dynamic settings.О. S. Kovalevska, S. V. Kovalevskyyhttp://ric.zntu.edu.ua/article/view/142940PARALLEL METHOD OF BIG DATA REDUCTION BASED ON STOCHASTIC PROGRAMMING APPROACH
http://ric.zntu.edu.ua/article/view/142950
Context. The task of automation of big data reduction in diagnostics and pattern recognition problems is solved. The object of the<br />research is the process of big data reduction. The subject of the research are the methods of big data reduction.<br />Objective. The research objective is to develop parallel method of big data reduction based on stochastic calculations.<br />Method. The parallel method of big data reduction is proposed. This method is based on the proposed criteria system, which allows to<br />estimate concentration of control points around local extrema. Calculation of solution concentration estimates in the developed criteria<br />system is based on the spatial location of control points in the current solution set. The proposed criteria system can be used in stochastic<br />search methods to monitor situations of excessive solution concentration in the areas of local optima and, as a consequence, to increase the diversity of the solution set in the current population and to cover the search space by control points in a more uniform way during<br />optimization process.<br />Results. The software which implements the proposed parallel method of big data reduction and allows to select informative features<br />and to reduce the big data for synthesis of recognition models based on the given data samples has been developed.<br />Conclusions. The conducted experiments have confirmed operability of the proposed parallel method of big data reduction and allow<br />to recommend it for processing of data sets for pattern recognition in practice. The prospects for further researches may include the<br />modification of the known feature selection methods and the development of new ones based on the proposed system of criteria for control points concentration estimation.A. Oliinyk, S. Subbotin, V. Lovkin, M. Ilyashenko, O. Blagodariovhttp://ric.zntu.edu.ua/article/view/142950AN IMPROVED ENSEMBLE APPROACH FOR DOS ATTACKS DETECTION
http://ric.zntu.edu.ua/article/view/142979
Context. The task of using the ensemble of classifiers to detect DoS attacks in large arrays of network traffic data is solved to withstand<br />attacks on the network.<br />Objective of this paper is to build an ensemble of classifiers that surpasses single classifiers in terms of accuracy.<br />Method. To achieve the formulated goal an algorithm, that indicates the probability of belonging to certain classes, which return a<br />vector of classification scores for each point, is proposed. The peculiarity of the proposed approach is that for each point from the dataset,<br />the predicted class label corresponds to the maximum value among all scores obtained by classification methods for a given point. As<br />classifiers, decision trees, k-nearest neighbors algorithm, support vector machines with various kernel functions, and naпve Bayes are<br />considered. A comparative analysis of the proposed approach with single classifiers is considered using the following metrics: accuracy,<br />precision, recall, and F-measure.<br />Results. The experiments have been performed in R 3.4.1 on the NSL-KDD dataset of network attacks, which was divided into three<br />classes (DoS, normal network behavior and other types of attack).<br />Conclusions. The conducted experiments have confirmed the efficiency of the proposed approach. The most accurate result showed<br />an ensemble of five classifiers. The development of techniques for attacks detection based on an ensemble of classifiers avoids the problems inherent in most approaches since it is capable of detecting both known and new attacks with high accuracy. It can be concluded that the proposed approach for network attacks detection is of practical significance. In order to further study the attacks detection in network<br />traffic, studies will be performed on real Big data sets.R. M. Alguliyev, R. M. Aliguliyev, Y. N. Imamverdiyev, L. V. Sukhostathttp://ric.zntu.edu.ua/article/view/142979MODEL OF INVESTMENT STRATEGIES IN CYBER SECURITY SYSTEMS OF TRANSPORT SITUATIONAL CENTERS
http://ric.zntu.edu.ua/article/view/142983
Actuality. The actual task of finding the optimal strategy for control the procedure of mutual financial investments to the situation<br />center for cyber security on transport. The aim of the work – the development of a model for a decision support system on the continuous mutual investment in a cyber security situational center, which differs from the existing ones by solving a bilinear differential quality game with several terminal surfaces. Method. In order to achieve the goal there was used a discrete-approximation method for solving a bilinear differential quality game with dependent motions. Application of this method in the developed decision support system, unlike existing ones, gives concrete recommendations ft choosing control decisions in the investment process.<br />Results – the proposed model gives concrete recommendations at choosing strategies in the investment process at the creation of a<br />protected situational center. In the course of the computational experiment, there was considered a new class of bilinear differential games that allowed adequately to describe the process of investing in cyber security means of situational transport centers in Kazakhstan and<br />Ukraine. <br />Conclusions. For the first time, there was proposed a model describing the process of mutual investment based on the solution of<br />bilinear equations and a differential quality game with several terminal surfaces. Considered the peculiarity of the differential game on the<br />example of mutual investment in the means of cyber security of the situational transport center. In this case, the right-hand side of the<br />system of differential equations is represented in the form of bilinear functions with arbitrary coefficients. The model allows to predict the<br />results of investment and to find strategies for managing the investment process in the protection and cyber security systems of the<br />situational transport center.B. B. Akhmetov, V. A. Lakhno, V. P. Malyukovhttp://ric.zntu.edu.ua/article/view/142983STRUCTURAL CLASSIFICATION IMAGES USING BAYESIAN DECISION MAKING
http://ric.zntu.edu.ua/article/view/142992
Relevance. Ensuring the effectiveness and multifunctionality of modern computer vision systems requires the creation of a variety of<br />effective methods for intellectual processing of visual information. The development of systems of structural recognition is directly connected<br />with the construction of new effective methods as well as the need to create a mechanism for assessing the effectiveness of these methods for<br />specific applications of visual data. Bayesian decision theory is one of the tools, based on the statistical characteristics of structural data. The<br />calculation of a posteriori probabilities of assigning a description of a visual object to a set of etalons makes it possible to directly perform the<br />process of recognition as well as preliminary evaluate the effectiveness of procedures for comparing or calculating the relevance of descriptions<br />with respect to a specific application image database. Special attention is paid to the study of the structure of the set of descriptors, which<br />directly affects the functioning of recognition systems.<br />Goal. Investigation of the possibility and peculiarities of the application of the statistical recognition theory in the decision-making<br />mechanism and the evaluation of effectiveness in the form of the probabilities of classifying an object description as class. Comparison of the<br />results of computations with experimental computer modeling data.<br />Method. A method of recognition based on the application of cluster characteristics of the image base using the Bayesian decision theory<br />is proposed. The result of investigation is the creation of a mechanism for evaluating the effectiveness of procedures for calculating the<br />relevance of descriptions with respect to the application image database.<br />Results. The main result of the paper is the confirmation of the fundamental relationship between methods of comparison with etalons<br />and the statistical approach in pattern recognition with respect to structural descriptions in the form of a set of characteristic features of<br />images represented by a cluster description. The statistical approach based on Bayesian estimates, which is simpler in sense of estimated costs,<br />can be used for preliminary calculations of recognition efficiency without costly experiments on software modeling.<br />The effectiveness of the developed method for calculating probabilistic estimates for applied image bases is proved. The result of the<br />classification demonstrated the universality and correctness of the application of the method, each of the test objects in several of the<br />examined image bases was correctly recognized.<br />The obtained numerical results of the computations are compared with the experimental data of computer modeling.Conclusions. In the conducted research the method of structural classification of images on the basis of a cluster representation of the<br />description by means of Bayesian decision theory is proposed. The basic idea of applying the corresponding mathematical approach is in<br />assigning the analyzed object to an etalon that has the greatest value of a posteriori probability. The developed method provides a sufficient<br />level of discrimination of images, which was confirmed by the described calculations and simulation results, is offered. Mechanism for<br />evaluating the effectiveness of the analyzed methods of structural recognition within the framework of the applied image database has been<br />introduced.<br />The scientific novelty of the research consists in the synthesis of a new method of structural recognition of images and preliminary<br />estimation of efficiency by using the means of Bayesian decision theory and constructing classificatory solutions in the space of a clusteretalon.<br />The practical significance of the work is the obtaining of applied computational models for the application of the methods of structural<br />recognition and confirmation of their effectiveness in specific applied image bases.S. V. Gadetska, V. A. Gorokhovatskyhttp://ric.zntu.edu.ua/article/view/142992THE SIMULATION OF P-PERSISTENT CSMA ALGORITHM OF UNEQUAL RANDOM MULTIPLE ACCESS
http://ric.zntu.edu.ua/article/view/143116
Context. The relevance of the simulation of p-persistent CSMA algorithm of unequal random multiple access is caused by importance<br />of accounting personal node priorities for execution of adequate assessment of probable and time response characteristics of information transfer in designing widespread fieldbus-networks LonWorks, BacNet, etc. The aim of this work is to obtain analytical expressions for estimating probabilities of successful and failed node access to the channel, the transmission time information in the network with equal and unequal rivalry of nodes based on p-persistent and predictive p-persistent CSMA algorithms of random multiple access.<br />Method. The method of probability theory has been used there to solve problems. The analysis of equal and unequal multiple access ppersistent CSMA nodes in the saturation mode of the channel by the transmission with a constant number of node-rivals has been executed. A method of estimating the time of successful transmission of information by the node through an average number of cycles of rivalry and probabilistic characteristics of the access nodes has been proposed. Expressions to estimate the necessary probabilistic and time characteristics were obtained: the average length of transmission and time of information transmission by the node, the effective bandwidth. The proposed method mainly differs from analogs by the possibility of characteristics estimation of information transmission given the manifold priorities of the network nodes, which improves the accuracy of the performed calculations.<br />Results. The analytical expressions have been received, quantification and analysis of probabilistic and temporal characteristics of<br />information transfer in a network with equal and unequal random multiple p-persistent CSMA access has been performed.<br />Conclusions. The simulation results of equal and unequal rivalry network channel illustrate the importance of taking into account<br />individual priorities of the nodes in the network. The feasibility of using access priorities is the need to transfer important information on<br />the background of universal low-priority data. The significance of the results is to perform an adequate quantitative assessment of the<br />characteristics of information transmission in a channel with equal and unequal parties.S. A. Dadenkovhttp://ric.zntu.edu.ua/article/view/143116AN APPROACH TO BPMN BASED BUSINESS PROCESS MODELS ANALYSIS AND OPTIMIZATION
http://ric.zntu.edu.ua/article/view/143128
Context. Today, most organizations represent knowledge about their activities from a business processes point of view. At the same time,<br />business process modeling is a subjective activity, which leads to errors associated with an analyst competence or i.e. with a poorly detailed<br />subject area description. Thus, business process models should be analyzed for various kinds of shortcomings before they used for collecting, storing, and sharing of the organizational knowledge.<br />Objective. The objective of the study is to develop an approach to the analysis and optimization of business process models used to<br />represent the organizational knowledge.<br />Method. A formal representation of business process models, based on directed graphs, has been considered in this study. Business process<br />models design rules have been considered and formalized. A coefficient of business process models structural conformity to the design rules,<br />which is based on the graphs redundancy characteristic and the business process models balancing coefficient, has been proposed. A formal<br />approach to forming business process models enhancement recommendations has been proposed with considering the formalized design rules and the coefficient of structural conformity.<br />Results. Calculations for models of products purchase and sale business processes, using developed software which is implemented the<br />proposed approach to business process models analysis and optimization, have been performed. The design shortcomings of the considered models have been defined and the enhancement recommendations formed. Transformed models are error free and further can be used to represent organizational knowledge.<br />Conclusions. The proposed approach allows to define the business process models design shortcomings and to develop recommendations<br />for their elimination.A. M. Kopp, D. L. Orlovskyihttp://ric.zntu.edu.ua/article/view/143128DESIGN AUTOMATION OF EASY-TESTED DIGITAL FINITE STATE MACHINES
http://ric.zntu.edu.ua/article/view/143183
Context. The relevance of the work is to provide minimal additional hardware costs during design automation of easy-tested digital<br />devices, which are represented by models of control finite state machines on hardware description languages.<br />Objective. To develop procedures of models’ constructing of easy-tested control finite state machines on hardware description<br />languages and estimate hardware costs for different methods of hardware redundancy introduction to HDL-models of finite state machines.<br />Method. The introduction to HDL-models of control finite state machines, which are presented in the form of the FSM template,<br />hardware redundancy (additional fragments of the HDL-code), providing the forcing setting of finite state machine into an arbitrary state<br />without the use of synchronizing sequences. For implementation of this approach, the method of FSM’s state table extending is applied,<br />which ensures the mode of bypassing of all nodes of FSM’ state diagram in the diagnostic mode.<br />Results. Simulation of extended VHDL-models of the control FSM using Active-HDL confirmed the operability of this approach.<br />Synthesis of these models using CAD XILINX ISE confirmed the receipt of testable structures and showed the minimum hardware costs for<br />the method associated with the extension of the state table, in comparison with the organization of the shift register in the Scan Path mode.<br />Conclusions. The task of computer-aided design of testable control finite state machine on the basis of application of FSM’ setting<br />methods into given state is solved in the work. The optimal way of the setting organization into an arbitrary state of the control FSM is to<br />expand the state table, which improves the controllability of FSM’ states and leads to the structure’ transformation of their HDL-models<br />into easy-tested ones.<br />The scientific novelty of the work is the transformation of control FSM’ models on hardware description languages, which is realized<br />by introduction of the additional symbol to the state table, providing the settings of the FSM into an arbitrary state without the use of<br />synchronizing sequences.<br />The practical significance of obtained results is to confirm the optimality, in terms of additional hardware costs, of the setting method<br />of the control FSM into an arbitrary state by introducing the additional symbol into the state table.M. A. Mіrosсhnyk, Y. V. Pakhomov, A. S. Shkil, E. N. Kulak, D. Y. Kucherenkohttp://ric.zntu.edu.ua/article/view/143183APPLICATION OF THE SYSTEM ANALYSIS OF IMPLEMENTATION OF THE INSTRUMENTAL METHOD OF NAVIGATION ON INLAND WATERWAYS OF UKRAINE
http://ric.zntu.edu.ua/article/view/143538
Context. The task of applying the scientific approach to the introduction of a modern navigation system on inland waterways of<br />Ukraine is considered to solve, first of all, weakly structured problems characterized by the presence of an uncertainty factor and containing<br />both formalized and unformulated elements that are not translated into the language of mathematics.<br />Objective – development of the methodology of system analysis at the stage of introduction of the instrumental method of navigation<br />on inland waterways of Ukraine, which guarantees high quality of modeling in accordance with the exact criteria of navigation and economy.<br />Method. An approach to data processing is proposed, which is based on the study of the properties of the system with her further<br />formalization. A model of the layout of the system based on electronic chart systems is developed, characterizing the fulfillment of the<br />assigned tasks with an increased probability of safe navigation. The features of the state of the system using a mathematical model in the<br />form of an undirected graph are considered. An algorithm for realizing the functional stability of the system is proposed. The results of the<br />experiments make it possible to recommend the proposed method for introducing the instrumental method of navigation on inland<br />waterways of Ukraine.<br />Results. The parameters of experimental research of the functioning of the stages of the functional stability of the coastal infrastructure<br />and ship navigation equipment have been developed.<br />Conclusions. In the process of research a set of procedures that contain elements of scientific novelty are used and are aimed at<br />formulating a problem situation, proposing a set of alternatives that are compared with performance criteria using the system stability<br />factors.V. V. Panin, V. V. Doronin, V. M. Aleynikovhttp://ric.zntu.edu.ua/article/view/143538DEVELOPMENT OF WFTA BASED ON THE HASHING ARRAY
http://ric.zntu.edu.ua/article/view/143544
Context. A method of efficient computation of DFT using cyclic convolutions for sizes of integer power of two has been considered.<br />The further development of Winograd Fourier transform algorithm based on a hashing array has been proposed. The research object is the<br />process of the reformulation the basis matrix of DFT into the block-cyclic structures. The research subject lays in the technique of the<br />reformulation the basis matrix of DFT for sizes of integer power of two into the block-cyclic structures.<br />Objective. The purpose of the work is the analysis of the structure specifics the left-circulant submatrices of the basis square matrix<br />WN for sizes of transform N = 2i using the hashing arrays.<br />Method. The article considers a technique for the efficient computation of DFT using cyclic convolutions for sizes of integer power<br />of two, which is based on the cyclic decomposition of substitution. A hashing array has been proposed for the compressed description of the<br />block-cyclic structure of discrete basis matrix and for the efficient computation of DFT for sizes of integer power of two.<br />Results. A generalized block-cyclic structure of discrete basis matrix for the efficient computation of DF using cyclic convolutions for<br />sizes of an integer power of two based on the hashing arrays has been determined. The proposed technique is relevant for concurrent<br />programming of DFT and for its implementation in parallel systems.<br />Conclusions. A general block-cyclic structure of basis matrix of DFT is regularly formed with an increase in the value of the exponent<br />of two and is recommended for use in practice when developing the efficient means of DFT. The prospects for further research will include<br />the formation of block-cyclic structure of basis matrix of DFT for arbitrary sizes.I. O. Prots’ko, V. M. Teslyukhttp://ric.zntu.edu.ua/article/view/143544FACTORIAL CODE WITH A GIVEN NUMBER OF INVERSIONS
http://ric.zntu.edu.ua/article/view/143549
Context. Factorial coding with data recovery by permutation provides complex information protection from unauthorized reading and<br />errors in communication channel and has the property of self-synchronization. At the same time, such coding does not allow to detect all low-weight errors that leads to a relatively small increase of reliability. The purpose of this work is to develop and study the method of factorial coding with a given number of inversions aimed at increasing<br />the reliability of information transmission, by introducing additional redundancy by choosing a class of permutations that satisfy the given<br />criterion.<br />Method. The main idea of the proposed method is to introduce artificial redundancy by reducing the cardinality of used permutations.<br />Such an approach makes it possible to select from a whole set of permutations a class that possesses the necessary, pre-assigned properties. It was suggested to use the correspondence of the number of permutation inversions to a given class of residues as a sign of belonging to the permutation class in use. A theoretical evaluation of code parameters was performed.<br />Results. Signal-code constructions for the factorial code with a given number of inversions under the order of permutations M = 8 are<br />constructed. For each of the possible classes, the cardinality, code rate, estimates of the probability of undetected error and the relative<br />transmission rate for systems with decision feedback and independent bit errors were investigated. It is shown that the code parameters are<br />not invariant with respect to the selected class of residues for a given modulus. The structural schemes of encoding and decoding devices are<br />developed.<br />Conclusions. The method of factorial coding with data recovery by permutation has been developed. The use of permutations with<br />a number of inversions that belongs to the selected class of residues allowed increasing the reliability of transmission in exchange for the loss<br />of code rate.E. V. Faure, A. I. Shcherba, A. A. Kharinhttp://ric.zntu.edu.ua/article/view/143549THE ALGORITHM OF CONSTRUCTING CONTROL FLOW GRAPH BASED ON A PROGRAM WRITTEN IN C
http://ric.zntu.edu.ua/article/view/143553
Actuality. The work considers the problem of automated construction of the control flow graph using the text of a program written in<br />C. The graph construction is an important step in the structural testing of embedded systems.<br />Objective. The work is aimed at creation of a fast algorithm for constructing the control flow graph from a source code. Such an<br />automatically generated graph can be used by existing tools for automated testing.<br />Method. We propose an algorithm for constructing the control flow graph from the program written in C language, which preprocesses<br />the source code of the program by removing comments and blank lines, determines the number of vertices and edges of the control flow graph<br />by means of program text syntactic analysis, and then formats, fills and stores the incidence matrix in a separate text file. This file can be<br />passed as input data for some existing automated testing tools. Moreover, the content of the text file can be visualized by existing tools for graphic representation of graphs.<br />Results. We’ve developed a software module that implements the proposed algorithm. The module can be used for experiments aimed at<br />studying the dependence of the control flow graph’s time construction on the amount of lines in a source code.<br />Conclusions. The conducted experiments confirmed the operability of the proposed algorithm and the software module developed on its<br />basis. The results have proved the applicability of the algorithm, thus it can be recommended for further use together with automated testing<br />tools to reduce the time required for testing of embedded software.D. V. Fedasyuk, R. S. Chopeyhttp://ric.zntu.edu.ua/article/view/143553METHOD FOR FORMING TEST WORKFLOW BASED ON FUZZY INFERENCE
http://ric.zntu.edu.ua/article/view/143559
Actuality. Test process costs can be reduced by rational planning of all works and the optimal allocation of the resources. One of the main<br />documents which regulate the purpose and tasks of the test process, its’ scope, procedure and methods of carrying out the work, is a test<br />program. The process of it creation is represented as a sequence of interrelated tasks. In the view of the high costs of material and non-material resources, the improvement of the testing is possible due to a reasonable choice of scope of work and controlled variables. The object of the research – the test process of the compound technical system. The subject of the research – the method for collection and analysis of<br />controlled parameters within test process of the compound technical system. Goal of the research is to develop a method for forming the scope of testing workflows which will be included in the compound technical system test program.<br />Method. A method for forming of the testing workflows scope for a test program for compound technical systems is developed by the<br />authors. It is based on a combination of direct logical inference for the formation of a set of monitored parameters and a fuzzy logical<br />conclusion for the composition of works that are expedient for one launch of the compound technical systems. Combination of different work types reduces direct costs and reduces the test process cost.<br />Results. Developed method was used for the tests of the gas turbine unit for terrestrial usage. According to the test costs classification,<br />usage of the suggested approach for forming test process workflows reduced labor costs, capital (materials) resources and alternative resources, due to the reducing of experiments number for a gas turbine power station.<br />Conclusions. Method for workflows forming for test program of compound technical systems allows combining working processes,<br />which are possible to run within one launch of the technical system. The application of the method has reduced test process costs by reducing<br />time and man-hour for creation of test program, as well as reducing number of launches of the gas turbine unit, with the increase of work scope for one launch.O. V. Shytikova, S. S. Tabunshchyk, G. V. Tabunshchykhttp://ric.zntu.edu.ua/article/view/143559CYCLIC SCHEDULE RESEARCH FOR THE MODEL OF REAL-TIME DYNAMIC NETWORK OBJECT
http://ric.zntu.edu.ua/article/view/143695
Context. Development of models of automated control systems for ventilation, designed to prevent emergencies in the mine ventilation<br />network, is considered in the paper. The task of research and implementation of software modeling tools that allows the execution of<br />experiments with real science-intensive objects is being solved.<br />Objective is to improve effectiveness of the real-time model of a mine ventilation network by developing and optimizing a method for<br />organizing a computational process that considers the different frequency parameters of the models.<br />Method. We proposed and investigated the algorithm of scheduling and implementation of the cyclic schedule for the model of the<br />dynamic real-time object, presented by the mine ventilation network. We analyzed the mathematical model of aerodynamic processes and<br />classified it as a stiff real-time system. Calculations of phase variables with varying velocities are performed by splitting the original algorithm<br />into parallel flows in the program model. Numerical integration of the differential equations system of the mathematical model of the object<br />is performed in accordance with the algorithm of static priorities and controlled using the time scale. The schedules feasibility is determined<br />for the target object limited parameters. The scheduling algorithm considers the time parameters of software tools for both uniprocessor and symmetric multiprocessor systems.<br />Results. Analysis of simulation results of the proposed model with using cyclic schedules shows the correspondence of the obtained<br />modeling results to the reference one.<br />Conclusions. The main advantage of the model is the performance increase when performing data processing due to the reduction of the<br />CPU usage time. Implemented cyclic schedule algorithm for real-time simulation platform can be used for development of control system for<br />technological and emergency modes of ventilation in mines.V. A. Svjatnij, A. Y Ivanov, Y. A. Ivanovhttp://ric.zntu.edu.ua/article/view/143695INTELLIGENT SUPPORT OF MULTILEVEL FUNCTIONAL STABILITY OF CONTROL AND NAVIGATION SYSTEMS
http://ric.zntu.edu.ua/article/view/143707
Relevance. Ensuring functionally steady operation of dynamic objects’ movement in the presence of abnormal situations is one of the<br />most prospective research problems in the area of technical diagnostics and restoration of system operability. Use of intelligent control<br />methods and algorithms for solving this scientific and technical task can significantly extend the functionality and improve the performance<br />of control systems. The aim is the formation of an approach to determine the control effect that ensures the functional stability of the CNS in the presence of abnormal situations.<br />Method. The concept of ensuring functionally stable control of dynamic objects’ movement has been offered. Well-known diagnostic<br />methods and tools have been systematized and on that basis new models and methods for deep diagnosis of the functional state of the control and navigation systems up to the reason of abnormality have been developed. Models and methods for multi-level parrying of the reason of abnormal situations through control over the diagnosis have been synthesized, they use such redundant resources as signal and parametric adjustment, reconfiguration of algorithms and commutation of equipment.<br />Results. The results of the solution of a number of combined scientific and technical problems aimed at the multilevel ensuring of the<br />functional stability of CNS have been presented.<br />Conclusion. Analyses of tendencies of theoretical investigation and practical achievements in ensuring functionally steady control of<br />CNS at occurrence of abnormal situations has been carried out. The concept of intelligent support of the functionally steady control of CNS<br />has been developed. The concept is based on the principles of multilevel hierarchical diagnosis of CNS to the parried reason of abnormal situation, as well as on the situational approach to eliminate the consequences of failures in accordance with the level of its application. As a result of analysis and synthesis of known approaches to diagnosing the technical state of dynamic objects, the new models and methods for deep diagnosis of the CNS’ functional state have been formed, that makes possible to determine the failure up to the reason of abnormality. Models and methods for multi-level parrying of abnormality through control over the diagnosis with the use of available intelligent on-board resources have been offered. A hardware-software complex for experimental research of theoretical positions have been developed, and conducted experiments have been verified the possibility of extending the functionality of the system to counter abnormal situations. As a result of conducted experiments in real-time scale, diagnosis and restoration of CNS’ functional state during a time not exceeding 42.2%–48.4% of the transient time of the system in normal operation mode have been implemented.S. N. Firsov, O. A. Pishchukhinahttp://ric.zntu.edu.ua/article/view/143707