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Izvestiya SFedU
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ISSN 2311-3103 online
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  • JUSTIFICATION OF THE APPEARANCE OF A PROMISING AUTOMATED SYSTEM FOR RECORDING PERSONNEL OF THE ARMED FORCES OF THE RUSSIAN FEDERATION

    S. A. Botsvin , V.A. Khvatkov
    2021-11-14
    Abstract ▼

    Accounting of personnel of the Armed Forces of the Russian Federation (AFRF) is carried
    out using several highly specialized automated systems, which does not allow solving tasks in a
    single information space. The study identified problematic issues that arise when solving the tasks
    of accounting personnel of the AFRF, such as low efficiency, the use of various media, low reliability
    of information due to the lack of synchronization mechanisms between systems, etc.
    The main subsystems are identified and a list of elements is defined for building the functional
    structure of a promising automated system that will provide operational access to information for
    an unlimited number of officials and automatically solve the tasks of collecting, summarizing and
    presenting quantitative (statistical) data. Based on the analysis of the topological structure of the
    personnel bodies of the AFRF, it is proposed to use a hierarchical (tree-like) structure to build a
    promising automated system and transfer information between databases of different levels to
    reduce information redundancy and load on server equipment. The priority option for organizing
    data storage is distributed storage, which was chosen based on the requirements for the stability
    and reliability of the operation of a promising automated system, especially in wartime. At the
    same time, the use of replication mechanisms will allow for instant synchronization of information
    at all levels. The calculation of the required resources for storing and processing information at
    various levels, depending on the number of military personnel at each level, the frequency of occurrence
    of personnel events and the amount of memory required for storing personal information.
    On the basis of which the technical characteristics of the elements of a promising system, necessary
    and sufficient for high-quality functioning, are determined, and the requirements for the technical
    characteristics of server equipment and data storage systems are obtained. The conducted
    research made it possible to construct a scheme for the perspective appearance of an automated
    personnel accounting system and to justify the relevance of solving the problem of forming and
    developing a new automated system. In addition, the results of the work made it possible to determine
    the principles laid down in the prospective system, such as the construction of a hierarchical
    distributed database, the creation of mechanisms for synchronizing information between system
    elements, the possibility of using existing technical means and the organization of information
    interaction with other automated systems

  • ADAPTIVE SYSTEM FOR CONTROLLING TECHNICAL CONDITION WITH MULTIPLE-CURRENT MEASUREMENT PATHS

    D.L. Tukeev , Е. V. Kramarev , О.V. Afanaseva , D. А. Pervukhin
    254-264
    2026-07-07
    Abstract ▼

    The current stage of development in the methodology for analyzing and synthesizing complex technical systems is characterized by a substantial increase in requirements for their design speed without a loss of functional quality. This is achieved through the application of information technologies for designing complex systems and modeling their operation processes. Within this paradigm, solving the problem of creating adaptive multi-agent systems for monitoring the technical condition of highly critical objects appears relevant. These systems would use a set of varying-accuracy measurement channels for each type of monitored parameter. This will enable the operational selection of a measuring instrument and the formation of the most rational monitoring algorithm, ensuring the required monitoring effectiveness under significant financial constraints. The aim of this work is to substantiate the possibility of using varying-accuracy measurement channels when forming the structure of each technical condition monitoring channel to ensure a given reliability. To achieve this aim, the following tasks were set and successfully solved: – modern conditions for designing technical condition monitoring systems for complex technical systems were considered; constraining factors and trends in design theory development were identified; causes of potential shortcomings in prospective systems and ways to eliminate them were determined;– the form of the system performance criterion was defined as a generalized indicator, obtained based on an additive convolution of unit unconditional monitoring reliability indicators and weight coefficients of their importance; – a structural diagram of an adaptive system was synthesized based on a model of a single-parameter monitoring channel with measurement tracts of different accuracy and the capability to implement known methods for improving monitoring effectiveness; – a computational experiment was conducted, the results of which allowed for refining the identified patterns and proposing new recommendations. The results of the conducted research enabled the development of an adaptive algorithm for monitoring a multi-parameter Object of Control based on a multi-agent system. The behavior of its agents is modeled using retrospective information from previous monitoring cycles, predictive models based on this information, as well as the implementation of the principle of equal reliability and penalty functions in case of deviation from it.

  • FORMATION AND INVESTIGATION OF DOPED ZINC OXIDE MEMRISTIVE FILMS FOR MACHINE VISION SYSTEMS OF ROBOTIC COMPLEXES

    Z. Е. Vakulov , R.V. Tominov , Д.A. Dzyuba , V.А. Smirnov
    116-123
    2025-11-10
    Abstract ▼

    The results of investigation of the influence of synthesis modes of doped zinc oxide thin films by pulsed laser deposition on their morphological and electrophysical characteristics are presented. Experimental studies of the influence of dimensional effects on the parameters of resistive switching of memristor structures based on thin films of doped zinc oxide have been carried out. The relationship between the morphological parameters of the films, their thickness and resistive switching characteristics has been established. The results showing how thickness, surface roughness and average grain diameter influence the ratio of resistance in the high-resistance and low-resistance states, as well as the switching voltages Uset and Ures have been obtained. It is shown that an increase in the thickness of gallium-doped zinc oxide films leads to an increase in the Uset and Ures voltages, while the dependence of the resistance ratio in the high-resistance and low-resistance states has a complex character, with a maximum observed at a film thickness of about 30 nm. The obtained results allow us to estimate the degree of influence of structural and morphological parameters of doped zinc oxide films on the resistive switching effect in them, and also to formulate recommendations for obtaining these films with the required resistive switching parameters. It was found that increasing the thickness of gallium-doped zinc oxide films from 11.8±5.1 nm to 55.1±18.4 nm it is possible to change the value of charge carriers concentration from (2.84±0.22)∙1019 cm-3 to (1.42±0.13)∙1020 cm-3, as well as the mobility of charge carriers from 54.48±4.07 cm2/(V∙s) to 18.77±0.83 cm2/(V∙s). At the same time, increasing the thickness of gallium-doped zinc oxide films also leads to an increase in resistance in the high-resistance state from 1.38±0.11 MΩ to 62.59±5.4 MΩ and resistance in the low-resistance state from 0.005±0.001 MΩ to 0.041±0.002 MΩ. The results obtained can be used in the development of physical principles of creation of electronic component base of artificial intelligence systems for manufacturing new devices and devices of nanoelectronics and adaptive neuromorphic systems

  • APPLICATION OF FORBIDDEN SHAPES IN THE GRAPH COLORING PROBLEM WHEN DESIGNING PRINTED CIRCUIT BOARDS

    V. I. Potapov
    2021-01-19
    Abstract ▼

    Designing a printed circuit board in the form of flat structures without jumpers is one of the
    most difficult tasks at the stage of circuit design. The task in this formulation is especially relevant for
    micro-assemblies for electronic modules of control and verification, on-board equipment, made using
    surface-mount technology, where, for example, due to a metal heat sink or a ceramic base, the structure
    of connections is possible only in one layer. The paper deals with the problem of designing
    printed circuit boards in the form of synthesis of flat structures of electronic circuits. The goal is to
    position the connections on the PCB without overlapping, making it easier for any router in modern
    design programs to route. To solve it, a large number of different algorithms have been proposed, the
    main disadvantage of which is the principle of sequential and fragmentary viewing of the switching
    space inherent in them. The complexity of the algorithms for the synthesis of such structures is also
    due to the need to take into account a large number of different requirements associated with the
    specifics of their manufacture and the features of the developed constructive and technological solution.
    In this paper, it is proposed to design a printed circuit board with a high efficiency of routing
    connections by solving the problem of stratifying the original graph-scheme and constructing a flat
    graph-scheme both on the installation side of the electrical radio elements and on the reverse side of
    the board - the soldering side, excluding forbidden figures according to Potryagin's theorem -
    Kuratovsky. The criterion is to minimize vias as well as minimize conductors (fins) on one side of the
    PCB. The bundle problem is a graph coloring problem in two colors using the principles of characterization
    control, the solution of which is based on the Koenig theorem, which defines a forbidden
    figure in the form of cycles of odd length. For the design of printed circuit boards, an algorithm and
    method for constructing planar graphs and stratifying the graph into two sides of the printed circuit
    board with a decrease in the number of undistributed edges have been developed. The exact solution
    takes the form of a polynomial dependence not higher than the 5th degree, it allows you to get the
    result in a reasonable time and increase the tracing efficiency by 5–15 %

  • THE ACOUSTO-OPTICAL DEFLECTORS OF THE AO CYMOMETER

    A.V. Pomazanov, D.P. Volik, S.S. Shibaev
    2021-02-13
    Abstract ▼

    Methods of functional electronics, particularly acousto-optical (AO) method of radiosignal
    processing, strongly lead even in comparison with DSP in cases requiring in minimum time period
    in wide analysis band with high accuracy to measure frequency and time parameters of several
    simultaneous signals. Development of new technologies and materials makes using the AO devices
    more actual since, according to integral features (consumption power, sizes, mass), they take leading
    places among other radiosignal parameters measurers types. AO cymometers as a kind of AO
    measurers take their firm place in an equipment of radiosignals parameters evaluation due to
    unique characteristics – multisignal mode, resolution, small sizes, acceptable input dynamic range
    and frequency evaluation accuracy. These devices are capable to practically instantly translate
    signals from time to frequency domain and find application in systems of passive radiocontrol
    where important parameters are not only dynamic range, evaluation accuracy of frequency and
    phase, but also energy consumption, mass and sizes that become considerable in mobile and space
    measurement complexes. By this reason in many countries AO cymometers have been successfully
    utilized in air and space engineering. Technical parameters of AO cymometers, such as band,
    nonuniformity of working channel, AO interaction efficiency etc. are largely defined by parameters of
    AOD (AO deflectors). Among all elements of AO device AOD are more expensive and together with
    lasers and photoreceivers AOD manufacturing also requires high technologies applying. Along with
    development and production not less important and technically complicated (that influences the AOD
    cost) is the task of development of ways computation, control and measurement of OD parameters.
    This work authors, being coworkers of laboratory "Nanophotonics and optoelectronics" of SFedU,
    have solved the task of calculation of technical and technological parameters of AOD of two frequency
    bands, have developed documentation, that allowed to manufacture several AOD samples, have
    developed the system of testing, that have been carried out, and implemented the correction of AOD
    electrodynamical structure parameters. Given are the parameters calculation and math modeling
    AOD electrodynamical structure, the method of measuring the AOD parameters, the layout of
    testing set. Also given the results of experimental investigations of developed AOD. Shown that
    electrodynamical structure correction allows in constrained range to change the AOD parameters
    and only adjusting capacitor does not allow to match parameters, but it is necessary to execute the
    matching system topology correction. Theoretical calculations and modeling have been confirmed
    by experimental results of manufactured AOD.

  • EQUIVALENT TRANSFORMATIONS FOR SOME KINDS OF RECURSIVE NON-LINEAR COMPUTING STRUCTURES FOR EFFICIENT IMPLEMENTATION ON RECONFIGURABLE COMPUTER SYSTEMS

    S.A. Dudko
    2021-02-25
    Abstract ▼

    In the paper, we consider data-equivalent transformations of some kinds of non-linear
    computing structures, such as quadratic, fractional and conditional. All computing structures
    contain feedbacks. If a pipeline computing structure of a task, implemented on a reconfigurable
    computer system, contains feedbacks, the data processing rate slows down, because it is necessary
    to wait for feedback results to calculate the next value. The processing rate slows down not
    only in the chain with feedback, but in the whole computing structure. As a result, the task solution
    time increases. Previous fragments have to delay their data to supply it into a chain with
    feedback, and subsequent ones have to remain idle waiting for the feedback result data. At pr esent,
    there are no software development tools for reconfigurable computer systems with automatic
    optimization of such computing structures. So, the user has to analyze the source code to
    find expressions with feedbacks, and to optimize them. As a result, the development time of eff icient
    applications considerably increases. We suggest methods decreasing the data processing
    time interval (down to unity in the best case) for applied tasks solved on reconfigurable computer systems. Besides, the task solution time also decreases. Owing to the suggested methods,
    implemented in the optimizing synthesizer of circuit solutions, transformations are performed
    automatically. As a result, the development time for efficient applied tasks with feedbacks decreases
    from several days to several minutes.

  • DEVELOPMENT OF AUTOMATED MALWARE DETECTION SYSTEM

    L.К. Babenko, А.S. Kirillov
    153-167
    2021-10-05
    Abstract ▼

    When research in the field of malware detection, the authors focus exclusively on detection methods, ignoring how these methods could practically be implemented. On the other hand, there are works that reveal some technical details of the implementation or optimization of the process of analyzing the malware sample and collecting data on its work. However, it is necessary to com-bine the results of the concepts of experimental systems and the implementation possibilities that are available. The purpose of the work is description of the implementation of an automated mal-ware detection system based on the method proposed earlier by the authors, thus supplementing the results of previous studies and putting into practice the proposed method for detecting and clustering malware. As a result, the technical requirements for the developed system for detecting malware is described, due to the previously proposed method of detection and clustering. A com-parison of existing behavioral analysis tools was made, Сuckoo Sandbox was chosen as the most suitable one, its main advantage is the open source code, which made it possible to refine both its client part and server part. In particular, the list of controlled system functions has been expand-ed, the source module of the call has been determined, and the call context has been determined. Also, based on the Сuckoo Sandbox, an extension has been developed that implements the method proposed by the authors. The article also reveals the possibility of porting the described system to work with samples of malware developed for various platforms. In particular, it is shown that the proposed methods can be adapted to platforms such as .NET or Android, while the improvements are technical, not fundamental. From a practical point of view, the system is a software package for a security specialist and allows for the rapid detection of previously unknown threats and, at the same time, through clustering, to identify a specific threat in order to implement the most ap-propriate protection measures against this threat. In the proposed form, it can be used as part of the enterprise infrastructure to ensure anti-virus security

  • CONTROL OF A MOBILE ROBOT ON BASE OF NEURAL NETWORK FOR THE PATH PLANNING IN UNMAPPED OBSTRUCTED ENVIRONMENT

    А. К. Farhood
    99-114
    2022-01-31
    Abstract ▼

    In this work, a neural network of deep learning of a special structure is used. The neural
    network allows a mobile robot to move without encountering obstacles in an unknown environment.
    The main problems that the efforts of researchers in the field of neural network traffic planners
    are aimed at solving are improving the performance of neural networks, optimizing their
    structure and automating learning processes. The main result of this article is a new iterative algorithm
    for developing a training set. At the first iteration, the initial training set is developed and
    the initial training of the neural network is performed. In the following iterations, the neural network
    trained at the previous stage is used as a filter for the following training sets. The filter selects
    trajectories with collisions caused by neural network errors. During the learning process, the
    number of convolutional and fully connected layers increases iteratively. Thus, the proposed algorithm
    makes it possible to develop both a training set and a neural network architecture. Training
    results are compared for filtered and unfiltered sets. The high efficiency of filtering has been confirmed,
    as a result of which the distribution of examples in the training sample changes. The algorithm
    can be used to develop a planning block for a mobile ground control system. The article
    provides an example of training a neural network in a Matlab modeling environment. In the example,
    five iterations of training were carried out, during which an accuracy of more than 90% was
    achieved. This accuracy was obtained using the collected statistics on the movement of the mobile
    robot in a randomly generated environment. The density of filling the environment with obstacles
    was up to 40%, which corresponds to urban conditions. The comparison of neural network planners
    trained using the proposed iterative procedure and with conventional training is carried out.
    The comparison showed that the use of an iterative procedure increases the accuracy of planning
    up to 12-15%. At the same time, the initial volume of the resulting sample is reduced several times
    due to the applied filtering.

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