ISSN 1991-2927
 

ACP № 3 (57) 2019

'Automation of Control Processes' # 3 (57) 2019

Contents
INFORMATION SYSTEMS

Aleksei Arkadevich Smagin, Doctor of Science in Engineering, Professor; graduated from the Radioengineering Faculty of Ulyanovsk Polytechnic Institute; Head of the Department of Telecommunication Technologies and Networks of Ulyanovsk State University; an author of articles, inventions, and manuals in the field of the development of information systems of different purposes. e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it. A. Smagin,

Mikhail Iurevich Pesliak, graduated from the Popov Higher Naval School of Radioelectronics; Deputy Chief Designer at FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of the development of computer-aided control systems. e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it. M. Pesliak

An Entropy Model of the Remote Object Monitoring 57_1.pdf

The article deals with the engineering of monitoring of object management systems state. The objects are geographically distant from the center of monitoring that can be an enterprise-monopolist creating products and maintaining through their life cycle. We will understand the term “monitoring” to mean the inspection, analysis, and evaluation processes of the remote object state through observing this process follow-up as well as the research of the trends of the object state changes and the external factors affecting the object [1].
To increase the efficiency of monitoring process, authors propose to implement an entropy approach allowing to examine and control the time for its implementation and the time when telecommunication channel is busy. From the source [2], the entropy is interpreted as a measure of the system uncertainty that can have a different amount of information. The introducing of the entropy evaluation of the request-response pair during a monitoring session allows forming the requestresponse sequence and reduce their length.
To achieve stated objectives, the authors consider the proposed mathematical model of the entropy monitoring process as a directed multi-level graph that is built on the basis of the Markovian chain and that allows to describe the monitoring conditions and the separate stages of the monitoring process. The graph considers the probabilistic characteristics of requests and responses. The main feature of the model is the direction of its practical application. The model is oriented for the analysis of exceptions in which the remote objects can operate. It requires the interactive operation mode of the monitoring system should be provided. The model allows to consider the options of monitoring implementation from the perspective of queueing systems as well as within closed local area networks.

Monitoring, entropy, probability, object, reliability, failure.


Aleksandr Valerianovich Samonov, Candidate of Science in Engineering, Associate Professor; graduated from Mozhaisky Red Banner Military Engineering Academy; Senior Scientist of Mozhaisky Military Space Academy; an author of more than 30 publications in the field of system analysis, system and software engineering, validation and verification of software, methods and means of information security. e-mail: a.samonov@mail.ru.A. Samonov,

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

Sergei Vasilevich Krasnov, Candidate of Science in Engineering, Associate Professor; graduated from the Ulyanovsk Higher Military Command School of Communications; an adjunct of Ulyanovsk Higher Military Engineering Communication School; Associate Professor of Graduated School of Management and Business of Peter the Great St.Petersburg Polytechnic University (SPbPU); an author of more than 50 works in the field of design and implementation of information systems and technologies. e-mail: hsm.krasnov@gmail.com.S. Krasnov,

Aleksandr Leonidovich Savkin, Candidate of Military Sciences, Associate Professor; graduated from the Ulyanovsk Higher Military Command School of Communications and the Marshal Budjonny Military Academy of Signal Corps; completed postgraduate studies in the Military Academy of Communications; Head of the Science and Engineering Support Department of FRPC JSC ‘RPA ‘Mars’; an author of scientific works, manuals, and articles in the field of the development and modeling of communication control systems, automated information systems. e-mail: mars@mv.ru.A. Savkin

Methods and Means for Implementation of End-To-End Quality Control of Artifacts of the Life Cycle of Creating Critical Information Systems 57_2.pdf

Methods and means of realization of the sequential-iterative, program-controlled process of development and verification of a set of requirements and design decisions developed at creation of the automated information systems used on objects of critical infrastructure of the state are presented. The description of the unified model-language and informationsoftware environment developed on the basis of modeling and design languages SysML, FUML, OCL, mathematical modeling language Petri nets, timed automata as well as software tools for verification and analysis of formal models of complex requirements and design solutions CPN Tools, Rodin and SPIN. The construction of formal graph-text models of requirements and design solutions is based on the developed templates, which are extensions of diagrams of use cases, activities, states and interactions, external and internal representation of system components, active and passive classes.
Testing procedure of completeness and correctness of a set of requirements is carried out by analyzing the progress and results of execution its formal model in the VM FUML environment, verification of the behavioral part of the model with the help of CPN Tools and Rodin for stability, limitation, detection of dead-end and inaccessible states as well as by assessing the quality of implementation of the basic mechanisms of the object-oriented paradigm (encapsulation, inheritance, polymorphism, abstraction, messaging). Formal models of design solutions, presented in the form of activity diagrams, are translated into the language of CPN ML and then verified by means of CPN Tools. Sequence diagrams are translated into Promela language and verified in SPIN environment. State diagrams are translated into the EventB language and checked using Rodin tools
The implementation of the approach presented in the article will allow to carry out early detection and elimination of defects in requirements and design solutions directly at the stages of their development, which will improve the quality of the developed systems and reduce the financial and time costs associated with the implementation of additional work.

Validation and verification, timed automata, information systems, design and modeling, Petri nets, functional and operational requirements.


Sergei Vasilevich Nazarov, graduated from the Radioengineering Faculty of Ulyanovsk State Technical University; Postgraduate Student of the Department of Measuring and Computing Systems of UlSTU, Leading Software Engineer of JSC Ulyanovsk Instrument Manufacturing Design Bureau; an author of articles, certificates of software registration. e-mail: nazir1984@mail.ruS. Nazarov,

Sergei Konstantinovich Kiselev, Doctor of Science in Engineering; graduated from Ulyanovsk Polytechnic Institute with a degree in Aircraft and Instrument Engineering; Head of the Department of Measuring and Computing Systems of UlSTU; an author of monographs, articles, patents in the field of professional equipment. e-mail: ksk@ulstu.ru.S. Kiselev

Preparing the Three-Dimensional Landscapes for HIL-Simulation Bench for Helicopter Avionics Systems 57_3.pdf

The article discusses the practical methodology for preparing large-sized three-dimensional landscapes based on free sources of satellite information and the method of dividing the landscape into smaller sections for the visualization system. The task of rendering three-dimensional landscapes is considered in relation for HIL-simulation bench for helicopter avionics systems at the stage of experimental design work and exploitation. The requirements are defined for a landscape and technical limitations of preparing the large-sized three-dimensional landscapes. Perspective directions for further work are specified

Three-dimensional landscape, visualization system, HIL-simulation bench, avionics systems.


Dmitrii Vasilevich Kozmovskii, Candidate of Science in Engineering; graduated from the Faculty of Automated Control Systems Mathematical Support at the A.S. Popov Naval Radioelectronics Institute; Lead Specialist at JSC ‘RPA ‘Impuls’; specializes in the field of development, pilot production and maintenance of special geographically distributed information management systems. e-mail: klimsky@rambler.ru.D. Kozmovskii,

Valerii Ilich Kuvatov, Doctor of Science in Engineering, Professor; Honored Worker of the Higher School of the Russian Federation; graduated from the Faculty of Automated Control Systems Mathematical Support at the A.S. Popov Naval Radioelectronics Institute; Professor of the St. Petersburg University of the Russian Interior Ministry; specializes in the field of mathematical modeling and information technologies of special-purpose computer-aided control systems; an author of articles and monographs on the subject. e-mail: kyb.valery@yandex.ru.V. Kuvatov,

Iurii Ivanovich Sineshchuk, Doctor of Science in Engineering, Professor; Honored Worker of the Higher School of the Russian Federation; graduated from the Faculty of Combat Information and Management Systems of the A.S. Popov Higher Naval Radioelectronics School; Professor of the St. Petersburg University of the Russian Interior Ministry; specializes in the field of analysis and information security, stability of complex systems. e-mail: sinegal@rambler.ru.I. Sineshchuk,

Tatiana Ivanovna Davydova, Candidate of Science in Engineering; graduated from the Radioengineering Faculty of Ulyanovsk State Technical University; Leading Engineer at FRPC JSC ‘RPA ‘Mars’; an author of articles and monograph in the field of reliability calculations and operating of radio engineering facilities. e-mail: tasha_dav@inbox.ru.T. Davydova,

Information Security Method Based on User Activity Monitoring of Distributed Computing Environment 57_4.pdf

The article analyzes the security features of information resources of distributed telecommunication systems. Geographically distributed computing network is a set of network equipment and communication lines designed for data exchange between user workstations and functional subsystems. Given that more than 90% of the organization’s information is now in electronic form, the problem of ensuring the protection of information circulating in the computer network is becoming an extremely important task. In this regard, the organization of the network structure is associated with the necessary settings of security policies of network users. At the same time, the most real and numerous internal threats that most organizations have remain out of sight. The article describes the systems designed to protect the computer network from an internal intruder, using the control of network connections, accounting and analysis of network traffic. The principle of definition of actual types of activity of users which is based on the analysis of statistical parameters of sessions on various types of network activity, their comparison with profiles of users allowing to classify sessions of network exchange is formulated. Grounded steps and the classification algorithm network activities and separate instances of network sharing in the network activities.

Distributed computing environment, information security threats, network exchange session, user activity classification.


Nikolai Nikolaevich Voit, Candidate of Science in Engineering, Associate Professor; graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; Associate Professor of the Department of Computer Engineering of Ulyanovsk State Technical University; an author of more than 150 scientific articles in the field of intelligent CAD, Case- and Cals-Technologies; research interests are in the field of workflow design automation, formal languages and grammars, automata, control and analysis of business processes, intelligent workflow processing systems, ontologies, automated learning environments. e-mail: n.voit@ulstu.ru.N. Voit,

Dmitrii Sergeevich Kanev, Candidate of Science in Engineering; graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; an author of more than 80 articles in the field of CAD; research interests are in the field of development and implementation of software and hardware platforms that support, intensify and increase the involvement of students in the educational process with the help of information technologies. e-mail: dima.kanev@gmail.com.D. Kanev,

Sergei Iurevich Kirillov, graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University, Postgraduate Student at the Department of Computer Engineering of Ulyanovsk State Technical University; an author of more than 20 articles in the field of CAD; research interests are in the field of visual languages of business processes and workflows, analysis of graphic diagrams for syntactic and semantic errors, development and implementation of software and hardware platforms that support, intensify and increase the involvement of students in the educational process. e-mail: kirillovsyu@gmail.com.S. Kirillov

The Method of Translation of the Diagram With One Type Directed Link Into the Inhibitor Petri Net 57_5.pdf

The fundamental scientific problem of the theory of business process management is to improve the efficiency of synthesis and processing of workflows of automated systems in order to reduce the time spent on their development and improve the quality of diagram models in terms of error control, reduce the semantic gap between analysis and execution of business processes.
One of the approaches for their verification is the use of the Petri nets formalism, which allows to carry out the semantic and syntactic analysis of models. In particular, to get all possible scenarios of the business process, to determine neverrunning functions and deadlocks of the system, which is especially important in the analysis of cyclic processes. At the same time, the existing methods of translation of graphic diagrams of business process management into the Petri net are specialized and are aimed at working with one / two graphic languages.
The paper proposes a method of transferring charts from one type of directed connections in the inhibitor Petri net. The application of this method for the translation of the control flow of the EPC diagram is shown.

Business processes; graphical language analysis; EPC; Petri net.


Marina Vitalevna Samoilenko, Candidate of Science in Engineering, Associate Professor; graduated from Moscow Aviation Institute and the Moscow Institute of Physics and Engineering; Associate Professor at Moscow Aviation Institute (National Research University); an author of articles, monographs, and inventions in the field of signal and image processing. e-mail: Samoi.Mar@mail.ru.M. Samoilenko

Stochastic Matrix-Iterative Method And Its Application In the Images Processing 57_6.pdf

The article deals with a new method for solving the set of linear algebraic equations (SLAE). It is a stochastic matrixiterative method. This method is designed for solving a wide class of problems in which measurement errors are presented. When the SLAE is represented as a vector-matrix equation, the desired variables are united into vector-original. The applicability of the method is limited by the type of the vector-original being restored: the main part of its components should be equal to the known background value, and a limited number of components should exceed this value. When processing images, this condition means that we have a limited number of bright objects on a constant background.
The application of the proposed method is been demonstrated on the examples of restoration of the blurry and noised images. The task is converted to SLAE, in which the vector-image is a row-column scan of the distorted image, and the being reconstructed vector-original is the row-column scan of the original undistorted image. Computer simulation have been performed in the MATLAB medium, which made it possible to determine the optimal parameters of the stochastic matrixiterative method and to demonstrate its advantages under conditions of additive noise.
Such conditions are the small image fullness with objects and a large fullness with background values. The influence of additive noise and a priori uncertainty were not considered.

Stochastic matrix-iterative method, matrix-iterative method, SLAE, additive noise, image restoration, point spread function.


ARTIFICIAL INTELLIGENCE

Roman Nikolaevich Ermakov, Candidate of Science in Biology; graduated from the Bonch-Bruevich Saint-Petersburg State University of Telecommunications; Leading Engineer of JSC “Research Institute “Masshtab”; an author of articles in the field of mathematical modeling, expert systems, and control systems. e-mail: romul151925@mail.ru.R. Ermakov

Detection Of Network Protocols With Application Of Machine Learning Methods And Fuzzy Logic Algorithms In Traffic Analysis Systems 57_7.pdf

The article deals with a new effective approach to analyzing the network traffic in order to determine the protocol of information exchange. A brief description of the structure of the algorithm for classifying network packets by belonging to one of the known network protocols (TLS v1, TLS v1.2, HTTP, SSH v2, DNS, DHCP v6, etc.) is given. To define the protocol, the principle of high-speed one-packet classification is used, which consists in analyzing the information transmitted in each particular packet. Elements of behavioral analysis are used, namely, the transition states of information exchange protocols are classified, which allows to achieve a higher level of accuracy of classification and a higher degree of generalization in new test samples. Fuzzy logic algorithms and neural networks are used. The test results of the constructed software module capable of identifying network protocols for information exchange are demonstrated.

Network packet classification, artificial neural networks, logistic regression, network traffic analysis, in-depth packet analysis.


Pavel Vladimirovich Dudarin, graduated from Ulyanovsk State University; Postgraduate Student at the Department of Information Systems of Ulyanovsk State Technical University; an author of scientific papers in the field of data processing by means of neural networks. e-mail: p.dudarin@ulstu.ru.P. Dudarin,

Vadim Georgievich Tronin, Candidate of Science in Engineering; Associate Professor at the Department of Information Systems of UlSTU; an author of scientific papers in the field of economics, finance and information technologies. e-mail: v.tronin@ulstu.ru.V. Tronin,

Kirill Valerevich Sviatov, Candidate of Science in Engineering; graduated from UlSTU; Dean of the Faculty Information Systems and Technologies of UlSTU; an author of scientific papers in the field of automation of management processes. e-mail: k.svyatov@ulstu.ru.K. Sviatov,

Vladimir Aleksandrovich Belov, graduated from UlSTU with a bachelor degree in Software Engineering; Master Student at the Department of Information Systems of UlSTU; an author of an article in the field of computer operation monitoring. e-mail: v.belov@ulstu.ru.V. Belov,

Roman Azatovich Shakurov, graduated from UlSTU with a bachelor degree in Software Engineering; Master Student at the Department of Information Systems of UlSTU; an author of articles in the field of computer operation monitoring and developing of system for determining the winner in cyber security competitions. e-mail: r.shakurov@ulstu.ru.R. Shakurov

An Approach To Labor Intensity Evaluation In Software Development Process Based On Neural Networks 57_8.pdf

Software development process is actively studied by experts from different spheres of science and different viewpoints. However, the degree of success of projects in the development of software intensive systems (Software Intensive Systems, SIS) has changed insignificantly, remaining at the level of 50% inconsistency with the initial requirements (finance, time and functionality) for medium-sized projects. The annual financial losses in the world because of the total failures are counted by hundreds of billions of dollars. Its high complexity leads to constant mistakes in labor intensity evaluation, and even new agile development paradigm does not solve this problem. This paper shows that retrospective labor intensity estimation could be approximated by a function, implemented by neural network, with some amount of code complexity metrics as arguments. Also there is a described an approach of neural network training and data collection, which allows to automate a process of retrospective labor intensity evaluation in agile software developing process. Experiments performed on the real life software project show the effectiveness of proposed technique.

Software developing process, neural network, data augmentation, Halstead metrics, Cyclomatic metric.


MATHEMATICAL MODELING

Aleksandr Kupriianovich Ivanov, Doctor of Science in Engineering; graduated from the Faculty of Physics at Irkutsk State University; Postgraduate Study at Bauman Moscow Technical School, Doctoral Study at Ulyanovsk State Technical University; Chief Staff Scientist of FRPC JSC ‘RPA ‘Mars’; an author of monographs, text book, articles in the field of the mathematical modeling of hierarchical real-time computer-aided control systems. e-mail: mars@mv.ru.A. Ivanov,

Vsevolod Valentinovich Tipikin, Candidate of Science in Engineering; graduated from Radioengineering Faculty at Ulyanovsk State Technical University; Deputy Chief Designer at FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of information-system design processes automation. e-mail: mars@mv.ru.V. Tipikin

Modeling Mutual Influence Of Information Flows 57_9.pdf

The article deals with a subset of data flows that build an information space for bodies of state authority and administration. A subset of information flows is specified. The flows form an information space of the state government and administration bodies. The main features of the subset are the amount of information flows, the behavior of document quantity change in flows, the nature of the mutual influence of documents of various flows. The amount of information flows is specified according to the problem of control loops building. The behavior of document quantity change is limited by linear, exponential and logistic dependencies. Linear and nonlinear models of mutual influence of information flows are built. The models are based on the analogy of documents with the population, which is used in the modern scientific literature in the broad sense. Linear models are formed by a system of differential equations of the first order with constant coefficients. The total ordering of the solution is given, analytical results are obtained for some options. Nonlinear models are formed by the Lotka-Volterra equations for two information flows. The behavior of models near stationary points is specified with a restriction on the number of documents and without limitation.

Information space, document flows, logistic model, Lotka-Volterra equations.


Konstantin Konstantinovich Vasilev, Doctor of Science in Engineering, Professor of the Department of Telecommunications at Ulyanovsk State Technical University, Honored Worker of Science and Technology of the Russian Federation, Corresponding Member of the Academy of Sciences of the Republic of Tatarstan; graduated from the Radioengineering Faculty of Leningrad Electrotechnical Institute; an author of monographs, manuals and articles in the field of statistical synthesis and the analysis of information systems. e-mail: vkk@ulstu.ru.K. Vasilev,

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

Estimation Of Varying Coordinates Of the Group Of Autonomous Vehicles 57_10.pdf

The problem of integrating the estimation of own and mutual coordinates of different accuracy for an arbitrary number of independent devices considering impact of external indignations of different intensity is solved. The integration possibility of aircraft navigation parameters is considered in two ways. The first algorithm uses the vector linear Kalman filter to increase the accuracy of the dynamically changed coordinates of the group of unmanned aerial vehicles. The second method consists in dynamic estimating using the quasioptimum two-stage procedure that includes static assessment of coordinates and Kalman filtering. Expressions for detecting the covariation matrixes of integration errors are obtained by two methods. The efficiency of methods for estimating the navigation parameters of the group of unmanned aerial vehicles is compared under different initial conditions in a generic form and for the application case of the existing navigation systems. The results of comparative analysis of efficiency of two considered approaches are given.

Estimation integration, vehicle coordinates, model of observations, stochastic equation of a state, Kalman filter, covariances of mistakes.


Petr Aleksandrovich Velmisov, Doctor of Sciences in Physics and Mathematics, Professor; graduated from the Faculty of Mechanics and Mathematics of Saratov State University; Head of the Department of Higher Mathematics at Ulyanovsk State Technical University; an author of articles and monographs in the field of aerohydromechanics, aerohydroelasticity, mathematical modeling. e-mail: velmisov@ulstu.ru.P. Velmisov,

Iulia Valerevna Pokladova, Candidate of Sciences in Physics and Mathematics, Associate Professor; graduated from the Faculty of Economics and Mathematics of Ulyanovsk State Technical University; Associate Professor of the Department of Higher Mathematics at Ulyanovsk State Technical University; an author of articles and monographs in the field of aerohydroelasticity, mathematical modeling. e-mail: pokladovau@inbox.ru.I. Pokladova,

Mizher Usama Jawad, Postgraduate Student at the Department of Higher Mathematics of UlSTU; graduated from the University of Thi-Qar, College of Engineering Governorate, Bachelor (Iraq, Thi-Qar); Vladimir Dahl East Ukrainian National University, Master’s program (Ukraine, Lugansk); an author of articles in the field of aerodynamics, aerohydroelasticity, mathematical modeling. e-mail: usama.mizher@gmail.com.M. Jawad

Mathematical Modeling Of Nonlinear Dynamics Of the Pipeline 57_11.pdf

In the work, various nonlinear mathematical models are proposed that describe pipeline vibrations. Models are presented that take into account only the transverse deformation of the pipeline, and models that take into account the longitudinal and transverse deformations. All models are described by partial differential equations for unknown strain functions. The numerical-analytical solution is based on the Bubnov-Galerkin method. Based on model equations, a numerical experiment was conducted for various parameters of a mechanical system, which showed a small difference in dynamic characteristics for different models. A functional of the Lyapunov type was constructed for one of the models, on the basis of which the analytical conditions for the dynamic stability of the pipeline were obtained. Also, mathematical models of the dynamics of the pipeline are proposed taking into account the delay of power and (or) inertial characteristics.

Pipeline, deformation, dynamics, stability, nonlinear model, partial differential equations, Lyapunov functional method.


Valerii Aleksandrovich Vasilev, Candidate of Science in Engineering, Associate Professor; graduated from the Faculty of Avionics Equipment of Riga Air Force Engineering Academy named after Ia. Alksnis; Associate Professor of the Air Force Military Educational and Scientific Center “N.E. Zhukovsky and Y.A. Gagarin Air Force Academy” (Voronezh); specializes in the field of automation of aviation management processes; an author of publications, certificates of registration of computer programs in the field of algorithmic and software systems for automation of aircraft command posts. e-mail: vashome60@mail.ru.V. Vasilev,

Pavel Aleksandrovich Fediunin, Doctor of Science in Engineering, Professor; graduated from the Radio Communication Faculty of Tambov Higher Military Aviation Engineering School named after F.E. Dzerzhinskii; Head of the Department at MESC AF “N.E. Zhukovsky and Y.A. Gagarin Air Force Academy” (Voronezh); specializes in the field of communication management and radio technical support in the Air Force; an author of publications, manuals, inventions, certificates of registration of computer programs in the field of communication management and radio technical support in the Air Force. e-mail: fpa1@yandex.ru.P. Fediunin,

Maxim Pavlovich Beliaev, Candidate of Science in Engineering; graduated from the Radio Communication Faculty of Tambov Higher Military Aviation Engineering School named after F.E. Dzerzhinskii; Head of Scientific Research Department of MESC AF “N.E. Zhukovsky and Y.A. Gagarin Air Force Academy” (Voronezh); specializes in the field of automation of aviation management processes; an author of publications in the field of algorithmic and software systems for automation of aircraft command posts. e-mail: belyaev_mp@mail.ru.M. Beliaev,

Anton Valerevich Vasilev, graduated from the Faculty of Aviation Communications at MESC AF “N.E. Zhukovsky and Y.A. Gagarin Air Force Academy” (Voronezh); Junior Staff Scientist at the Main Research Meteorological Center of the Ministry of Defense of the Russian Federation; specializes in the field of automation of aviation management processes; an author of publications, certificates of registration of computer programs in the field of algorithmic and software systems of automation of aircraft command posts. e-mail: voroneya@mail.ru.A. Vasilev

Simulation Of Spatial-Temporal Modeling Of Ground Target Moving Process 57_12.pdf

One of the important tasks solved by the automated control system of aircraft during combat operations is to bring timely and reliable information about the ground target to the crews of attack aircraft systems. The delay of information in the communication channels leads to its aging, as a result, aviation management can be less effective. Considering the impact of delay has a comprehensive solution, which is implemented in practice by various methods and means. One of the known effective means are extrapolators. Authors consider a scientific-methodical approach allowing to research the extrapolators in the loop by mathematical modeling. The models developed in the framework of the proposed approach simulate the movement of a ground target on a real road with known geometric characteristics and road conditions. A distinctive feature of the models is that the results of processing and analysis of data obtained from geographic information systems are used in the process of their construction.

Simulation modeling, message delay in the communication channel, maneuvering ground target, ground target motion model.


Dmitrii Anatolevich Zhukov, graduated from the Faculty of Information System and Technologies of Ulyanovsk State Technical University; Database Specialist of the Ulyanovsk Branch of Tupolev Design Bureau, PJSC; Postgraduate Student at the Department of Applied Mathematics and Informatics of UlSTU; an author of publications in the field of statistical methods and machine learning. e-mail: zh.dimka17@mail.ru.D. Zhukov,

Analysis Of Classification Quality Criteria For Diagnostics Of Technical Object Operation 57_13.pdf

When predicting the technical object health based on the known indicators of its previous operation, the problem of binary classification of the object state is solved. This problem may be solved using the machine learning methods, and due to imbalance of classes, the most reliable diagnostics quality measure is the F-measure. As a rule, the healthy-state data amount contained in the set of the use cases based on the results of object operation exceeds the unhealthy state data amount. Values of this measure are random variables as they are estimated using validation dataset formed in a random manner. The study showed that the distribution of this measure both for basic classifiers and for aggregated classifiers is close to standard one. A specific example demonstrates that the average value of F-measure in aggregation process exceeds the similar value obtained using the basic classifiers.

Technical diagnostics, healthy state, performance indexes, machine learning, aggregated approach, classification quality criteria.


Albert Shamilevich Khusainov, Doctor of Science in Engineering; graduated from Ulyanovsk State Technical University; Head of the Department of Design and Service Vehicles at Ulyanovsk State University; an author of articles, monographs, textbooks, and inventions in the field of modeling, designing, researching and optimization of tracks and cars constructions. e-mail: a.s.khusainov@gmail.com.A. Khusainov,

Andrei Anatolevich Glushchenko, Candidate of Science in Engineering; graduated from Ulyanovsk State Agricultural Institute; Associate Professor of the Department of Exploitation of Machinery and Mobile Technological Equipment at Ulyanovsk State Agrarian University named after P.A Stoplypn; an author of articles, monographs, textbooks and inventions in the field of modeling, designing, researching and optimization of tracks and cars constructions. e-mail: oildel@yandex.ru.A. Glushchenko,

Ilmas Rifkatovich Salakhutdinov, Candidate of Science in Engineering; graduated from Ulyanovsk State Agricultural Academy; Associate Professor of the Department of Exploitation of Machinery and Mobile Technological Equipment at Ulyanovsk State Agrarian University named after P.A Stoplypn; an author of articles, monographs, textbooks and inventions in the field of modeling, designing, researching and optimization of tracks and cars constructions. e-mail: ilmas.73@mail.ru.I. Salakhutdinov,

Maksim Anatolevich Volkov, Candidate of Science in Physics and Mathematics; graduated from Ulyanovsk State University; Dean of the Faculty of Mathematics, Information and Aviation Technologies at Ulyanovsk State University, an author of articles, textbooks and inventions in the field of modeling, designing of complex engineering systems and developing of computer-aided control systems. e-mail: volkovmax1977@gmail.com.M. Volkov

Optimal Choice Of Recovery Technologies For Waste Lubricating Oils 57_14.pdf

A technique for an optimal choice of technologies set for recovering the performance properties of waste lubricating oils based on dynamic programming has been described in the article. Each variant of technological operation has a different productivity and costs, also it is characterized by a specific sequence of quality indicator changes for the oil recovery. Authors make a choice of the sequence and content of technological operations which provide the given quality indicators for the recovery of oil performance properties with the lowest cost of labor input and implementation time. A composite indicator has been adopted as a target function which considers the productivity and cost for the oil recovery. The technological process is considered as a changing function of present value for the technological operation in case of its constant implementation time and function of time operation changing in case of its constant present value. According to dynamic programming methods, the use of the system of data on each technological operation stage allows obtaining the recurrent equations to determine the optimal technology with minimal present costs and time for the technological operations implementation. The solution of obtained equations results in the data array. The data analysis allows choosing the technological operations with optimal balance between its implementation time and present costs. The proposed optimization technique can be used in the development of the technological processes of any other type of production.

Recovery technology, technological operation, optimization, dynamic programming method.


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