ISSN 1991-2927
 

ACP № 3 (65) 2021

'Автоматизация процессов управления / Automation of Control Processes' # 2  (64)  2021

Contents
INFORMATION SYSTEMS

Sergei Konstantinovich Kiselev, Doctorof Sciences in Engineering; graduatedfromthe Faculty of Radioengineering of Ulyanovsk Polytechnic Institute with a degree in Aircraft and Instrument Engineering; Head of the Department of Measuring and Computing System of Ulyanovsk State Technical University; an author of articles, monographs, patent holder in the field of instrumentation, development and research of onboard control systems. e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it. S.K. Kiselev,

Van Tuan Tran, Postgraduate Student of the Department of Measuring and Computing Systems of UlSTU; graduated from the Faculty of Information System and Technologies of UlSTU; an author of articles in the field of modeling and research of motion control systems for mobile robots. e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it. V.T. Tran

Control of a ground mobile robot motion in case of the navigational data corruption of the satellite navigation system64_1.pdf

The article discusses the determination of navigational data corruption, which received by the satellite navigation system as well as traffic control of ground mobile robots.
It also specifies the movement features of ground robots, which affect the data integrity monitoring. It proposes an algorithm of control to implement the methods of autonomous onboard monitoring of the navigational data integrity. The algorithm is based on the equations of signal correspondence in various parts of the control system. It is designed to determine the inoperability of the satellite navigation system that implies the loss of signal and failure in the navigation problem solution. The algorithm takes into account the non-deterministic nature of moving ground robot with possible stops in the process of following the trajectory. The article considers the implementation variants of algorithm to assess reliability for the control system containing additional sensors of the robot’s displacement and for the hardware-redundant system containing no additional sensors. The results of modeling the movement of a ground mobile robot along an arbitrary trajectory in case of navigational data corruption are presented. The features of algorithm based on the simulation results are described in the article.
The authors considered variants of robot control in case of navigational data corruption. The structure of the system and a method for controlling a mobile robot in case of satellite navigation system failures are also proposed. The method is based on the control mode in the system, according to the measured data of the position of the robot in the case of navigational data corruption or otherwise according to the data calculated from the robot model. The implementation of the method makes it possible to avoid significant deviations of the robot from a given trajectory of movement at intervals of signal loss of the satellite navigation system.

Ground mobile robot, control system, control method, satellite navigation system, motion, navigation data, integrity, simulation, algorithm.


Maria Andreevna Gusarova, Postgraduate Student of Ulyanovsk State University; graduated from the Faculty of Mathematics, Information and Aviation Technologies of Ulyanovsk State Technical University with the specialty in computer security; Software Engineer at FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of information protection. e-mail: mar10537@yandex.ruM.A. Gusarova

Constructing and implementing some perfect verifiable secret sharing schemes64_2.pdf

Most of the existing public key cryptosystems are potentially vulnerable to cryptographic attacks as they rely on the problems of discrete logarithm and factorization of integers. There is now a need for algorithms that will resist attacks on quantum computers. The article describes the implementation of Shamir’s post-quantum secret sharing scheme using long arithmetic that can be applied in modern cryptographic modules. The implementation of the Pedersen – Shamir scheme is described, which allows preserving the property of the perfection of the Shamir scheme by introducing testability. The article presents graphs reflecting the influence of the verifiability property in the Shamir secret sharing scheme on the speed of its operation.

Information protection, post-quantization, encryption system, secret sharing scheme, verified secret sharing scheme, public key cryptosystems, Lagrange interpolation equation.


Artem Igorevich Ponomarev,, graduated from Ulyanovsk State Technical University with a degree in Instrumentation; Postgraduate Student at the Department of Measuring and Computing Systems of UlSTU; his research interests are in the field of designing aerometric equipment. e-mail: artem_lsp@mail.ruA.I. Ponomarev,

Mikhail Iurievich Sorokin, Candidate of Sciences in Engineering; graduated from UlSTU with a degree in Aviation Devices and Measuring-Calculating Complexes; Associate Professor at the Department of Measuring and Computing Systems of UlSTU; his research interests are in the field of aerometric equipment development. e-mail: minich80@mail.ruM.I. Sorokin

Integration of the measured altitude-speed performances in the system64_3.pdf

The air data system used by modern aircrafts is a soft hardware designed to measure, compute, and display the altitude-speed performances as well as other parameters such as air temperature, angles of attack and slip; and to provide to aircrew and consumers (various on-board systems) with this information. The speed and altitude are one of the most important flight parameters of an aircraft. The operating principle of modern on- board equipment for measuring the aircraft movement parameters while in flight is based on an aerometric method. This article deals with a method for increasing the accuracy and the reliability of aerodynamic angle-of-attack measurements.

Measurement, pressure, pressure probe, sensor, air data, angle of attack, aircraft, mathematical model, air data system.


Nikolai Nikolaevich Voit, Candidate of Sciences 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 UlSTU; an author of articles in the field of intelligent CAD, Сase-, Сals-Technologies; research interests are in the field of workflow design automation in the basis of graphic languages, formal languages, grammars and automata, monitoring and analysis of business processes, intelligent workflow processing systems, ontology engineering, automated learning environments. e-mail: n.voit@ulstu.ruN.N. Voit

Example of analytical model for organization in design workflows64_4.pdf

The author uses a constructive approach to prove the correctness of the graph schemes of the project workflows presented in the bases of the graphical languages of the AM-model. The paper defines typical incorrect constructions, techniques for constructing correct graph schemes of design workflows, and provides a definition, a theorem on the correctness of graph schemes of design workflows, and algorithms for converting graph schemes of algorithms, graph schemes of design work flows. The results obtained are new knowledge in the study of the correctness of complex technical systems. In practical terms, the results will allow designers to avoid costly design errors in automating the design of complex products at an industrial enterprise (including a large one – the number of nomenclature exceeds 1.5 million items and the number of developers exceeds 1000 people). The material of this work is related to the author’s publications in the previous issues of Automation of Control Processes Journal, no. 3(61) and no. 4(62), 2020.

Algorithm validation, business processes, graphical languages, design workflows, diagrammatic.


ARTIFICIAL INTELLIGENCE

Aleksei Mikhailovich Namestnikov, Doctor of Sciences in Engineering, Associate Professor; graduated from the Radioengineering Faculty of Ulyanovsk State Technical University; Professor of the Department of Information Systems of UlSTU; an author of more than 100 articles in the field of computer-aided design and intelligent systems. e-mail: nam@ulstu.ruA.M.Namestnikov

Ivetta Viacheslavovna Arzamastseva, Candidate of Sciences in Engineering; graduated from the Faculty of Language and Literature of Saratov State University; Associate Professor at the Department of Applied Linguistics of UlSTU; an author of articles and inventions in the field of statistical investigations and mathematical modeling in linguistics. e-mail: lingua@ulstu.ruI.V. Arzamastseva

An ontology approach to the sentiment analysis of software systems64_5.pdf

The article proposes an unorthodox approach to opinion mining for software systems (sentiment analysis) that can be in Russian, English or German languages. The main feature of this approach is an extraction of patterns represented by collocations consisting of one, two or more words and connected by common meaning or grammar. The article gives some examples of patterns in Russian in the area of computer games development. The determining lexical and semantic patterns are included in the ontology of the software system sentiment analysis described formally in the article.

Sentiment analysis, software system, lexical and semantic pattern, ontology, Bayes classificator.


Vitalii Evgenevich Dementev, Doctor of Sciences in Engineering; graduated from the Faculty of Economics and Mathematics at Ulyanovsk State Technical University; Head of the Department of Telecommunications at UlSTU; an author of monographs, articles, and patents in the field of statistical processing of multidimensional signals and information protection. e-mail: dve@ulntc.ruV.E. Dementev,

Ruslan Anatolevich Savinov, graduated from the Faculty of Machine-Building at Ulyanovsk State Technical University; Leading Software Engineer at Federal Research-and-Production Center Joint Stock Company ‘RPA ‘Mars’; his research interests are in the field of the development of computer-aided recognition systems and the pattern analysis with neural network technologies. e-mail: sarus@list.ruR.A. Savinov,

Marat Nikolaevich Suetin, Postgraduate Student; graduated from the Faculty of Technology and Business at Ulyanovsk State Pedagogical University; Leading Software Engineer at FRPC JSC ‘RPA ‘Mars’, an author of articles in the field of image processing and computer vision. e-mail: source81@gmail.comM.N. Suetin,

Anatolii Gennadievich Podloboshnikov, graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; Head of a research-and-development laboratory, Chief Designer at FRPC JSC ‘RPA ‘Mars’; his research interests are in the field of computer-aided recognition and pattern analysis systems development with neural network technologies. e-mail: agpdonet@mail.ruA.G. Podloboshnikov

The system of damage recognition in metal structures64_6.pdf

The article deals with a system developed on the basis of a neural network approach that allows the system to detect the visual defects and damage of infrastructure facilities using photo/video data processing. The photo/video images of structural railroad bridge members were used as training data for the convolutional neural network U-Net. The authors carried out ranging and labeling the photo/video data sets as well as they selected an optimal architecture and hyperparameters for the neural network. The image test sets were used for testing the neural network trained. The findings suggest that the resulting system can detect defects in structural steel members at the level which can be achieved if experts performed the visual inspection

Noninvasive inspection, damage in metal structures, deep convolutional neural network, CNN, bridge structures, cracks, photo image processing.


Andrei Alekseevich Pertsev, Candidate of Sciences in Engineering; graduated from the Faculty of Mechanics and Mathematics of Ulyanovsk State University; Head of a department of FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of the automated enterprise management system implementation. e-mail: mars@mv.ruA.A. Pertsev,

Aleksandr Nikolaevich Podobrii, Candidate of Sciences in Engineering; graduated from the Faculty of Mechanics and Mathematics of Ulyanovsk State University; Deputy Chief of a department of FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of the automated enterprise management system implementation. e-mail: mars@mv.ruA.N. Podobrii,

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

An approach to plan the production resources of a machine-building enterprise using neural networks64_7.pdf

Generally, this is the experience of production workers, economists, designers, etc. that used to get a preliminary assessment of feasibility of hardware manufacturing at an enterprise. For a preliminary assessment, it is enough to understand the complexity of the product and available analogues. At the same time, it is not always possible to calculate an accurate production time for the product due to the lack of a complete set of design and technological documentation.
The article presents an approach to calculating the production time of hardware using neural networks based on existing data for previous periods and types of hardware using. This approach allows estimating the production time without using accurate data on the design and manufacturing technology. The article also describes the structure of neural networks and defines the training sample. Some experiments were conducted based on the sample data, which allowed determining the initial weight coefficients of the neural network. The software implementation is made in the form of an additional module for an interactive web resource and uses T-SQL.

Production plan formation, neural network, small-scale manufacturing, project manufacturing, mechanical engineering, production capacity, operation performance statistics.


MATHEMATICAL MODELING

Viktor Rostislavovich Krasheninnikov, Doctor of Sciences in Engineering, Professor; graduated from Kazan State University; Head of the Department of Applied Mathematics and Informatics of Ulyanovsk State Technical University; an author of articles in the field of statistical methods of signal and image processing. e-mail: kvrulstu@mail.ruV.R. Krasheninnikov,

Iulia Evgenevna Kuvaiskova, Candidate of Sciences in Engineering, Associate Professor; graduated from Ulyanovsk State Technical University; Associate Professor of the Department of Applied Mathematics and Informatics of UlSTU; an author of articles in the field of statistical methods for processing time series systems. e-mail: u.kuvaiskova@mail.ruI.E. Kuvaiskova,

Olga Evgenevna Malenova, Postgraduate Student of the Department of Applied Mathematics and Informatics of Ulyanovsk State Technical University; graduated from UlSTU; an author of articles in the field of statistical methods of signal and image processing. e-mail: nika-lilu@yandex.ruO.E. Malenova,

Aleksei Iurevich Subbotin, Postgraduate Student of the Department of Applied Mathematics and Informatics of Ulyanovsk State Technical University; graduated from UlSTU; Leading Engineer at FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of statistical methods of signal and image processing. e-mail: ashkael@mail.ruA.I. Subbotin

Pseudogradient algorithm for identification of doubly stochastic cylindrical image64_8.pdf

Nowadays image processing problems are becoming increasingly important due to development of the aerospace Earth monitoring systems, radio and sonar systems, medical devices for early diagnosis, etc. However, the most of the image processing works deals with images defined on rectangular two-dimensional grids or grids of higher dimension. In some practical situations images are set on a cylinder, for example images of pipeline sections, blood vessels, rotary parts, etc. The peculiarity of the domain for specifying such images requires its consideration in their models and processing algorithms. The article deals with autoregressive models of cylindrical images and gives some expressions of the correlation function depending on the autoregression parameters are given. To represent heterogeneous images with random heterogeneities, ‘doubly stochastic’ models are used in which one or more images control the parameters of resulted image. The spiral scan of a cylindrical image can be considered as a quasiperiodic process due to the correlation of image rows. The article proposes the pseudogradient algorithms for the modal identification. The statistical modeling proves these algorithms give good model identification.

Cylindrical image, doubly stochastic model, pseudogradient algorithm, quasiperiodic process, identification.


Sergei Ivanovich Makarenko, Doctor of Sciences in Engineering, Associate Professor; graduated from the Military Aviation Engineering University named after Professor N.E. Zhukovsky; Leading Research Associate of the Saint Petersburg Federal Research Center of the Russian Academy of Sciences, Professor at the Department of Information Security of Saint Petersburg Electrotechnical University ‘LETI’; an author of research works, articles, monographs in the field of weapons and military equipment, communication systems, electronic warfare, information warfare, electronic intelligence. e-mail: mak-serg@yandex.ru.S.I. Makarenko,

Ilia Evgenievich Afonin, Candidate of Sciences in Engineering, Associate Professor; graduated from Zhukovsky Air Force Engineering Academy; Associate Professor at the Department of Air and Radioelectronic Equipment of the Krasnodar Air Force Academy; a author of articles and research works in the field of weapons and military equipment, radar detection; recognition and target designation systems; radar signal processing, information warfare. e-mail: ilyaafonin@yandex.ruI.E. Afonin,

Oleg Andreevich Kopichev, Candidate of Military Sciences; graduated from the Cherepovets Higher Military School of Engineering and Radioelectronics; Academic at the Military University of Radioeelectronics; an author of articles and research works in the field of systems theory, modeling of military engagement, modern military involvement. e-mail: cvviur6@mil.ruO.A. Kopichev,

Alina Sergeevna Mamonchikova, an applicant for a degree of Candidate of Sciences in Engineering; graduated from the Northwestern State Technical University with External Degree Programs; Specialist of the Patent Bureau PAO Information Telecommunications Technologies; an author of articles in the field of dynamic information collisions. e-mail: alinitta33@mail.ruA.S. Mamonchikova

The general lanchester model defining multilateral conflicts64_9.pdf

The analysed studies of combat simulation shows that the theory of dynamic systems, in particular the Lanchester model, is used for dynamic simulation of military conflicts. A large number of Lanchester models, each of which takes into account particular and specific factors, has already existed. However, these models examine a symmetric bilateral conflict. At the same time, in the Lanchester models class there are no models of multilateral conflicts. The purpose of the paper is to form the generalized Lanchester model of a multilateral conflict. The elements of scientific novelty of this model are to take into account different strategies of parties in a multilateral conflict and different conflict levels for the strategies. This model allows us to study the dynamics of resources changes of the conflict parties, to identify local wins and losses in the transition mode of the model, to draw conclusions about the global wins and losses of the parties, to form recommendations about choice of the parties’ strategies and the values of the parameters of their strategies for achieving a global win. The article outlines the ways for further research on the development of this generalized Lanchester model.

Combat simulation, war simulation, Lanchester model, conflict dynamics, multilateral conflict, conflict simulation.


Andrei Valerievich Vertemiagin, graduated from the Kiev Higher Military Engineering School of Communications; Head of a department of JSC ‘Order of the Red Banner of Labor V.S. Semenikhin Scientific Research Institute of Automatic Equipment’ (JSC ‘NIIAA’) in Moscow; an author of articles in the field of computing systems efficiency. e-mail: a.vertemyagin@yandex.ruA.V. Vertemiagin,

Vasilii Grigorevich Litvin, Doctor of Sciences in Engineering, Professor; graduated from the Taganrog Radio Engineering Institute and postgraduate studies at the Institute of Control Sciences of the Russian Academy of Sciences; Chief Specialist at JSC ‘Order of the Red Banner of Labor V.S. Semenikhin Scientific Research Institute of Automatic Equipment’ ‘(JSC ‘NIIAA’) in Moscow; an author of monographs and articles in the field of modeling information and computing systems and networks. e-mail: litvg@mail.ruV.G. Litvin,

Iurii Vasilevich Litvin, Candidate of Sciences in Economics, graduated from the Moscow Engineering Physics Institute; Director of the LLC ‘Research Institute of Economics and Management Organization in the Gas Industry Center’ (LLC ‘NIIgazekonomika’, OJSC ‘Gazprom’) in Moscow; an author of monographs and articles in the field of management and operations research. e-mail: litvinj@simplecs.ruI.V. Litvin

Performance evaluation of computing system and network objects at different levels of survivability64_10.pdf

The article discusses an approach to calculating the performance of objects exposed to adverse effects (AE), based on Markov models of queuing theory operating in a random environment. Three types of models of service queuing systems with an unlimited and a limited queue are investigated differing from each other in the message processing modes performed in the recovery process after AE: (1) incoming messages continue to be executed with a different performance compared to the normal mode; (2) in the process of recovery, incoming messages are accumulated, and processing is blocked; (3) in the process of restoration, no messages are received and no processing of messages already in the queue is carried out.
The modes of operation of objects change as a result of random influences of the external environment (cyberattacks, influences of the external environment or object failures). The models are considered under the simplest assumptions about the distributions of the input flows of messages arriving at the object, their service time, the distributions of the time of occurrence of the AE and the recovery time of the object after that (Poisson flows and exponential time of the considered time intervals). The developed models make it possible to evaluate the design decisions taken from the performance point of view on the organization of message service for a given survivability under stationary assumptions. Numerical examples illustrate the use of models for assessing performance indicators and some indicators of survivability of the objects under study.

Performance, survivability, queuing systems, variable operation, Markov models.


Kirill Nikolaevich Laptev, graduated from the Faculty of Mathematics, Information and Aviation Technologies of Ulyanovsk State University; Postgraduate Student at the Department of Information Technologies of UlSU; Software Engineer at FRPC JSC ‘RPA ‘Mars’; his research interests are in the field of mathematical modeling, Kalman filtering, scientific programming. e-mail: dinx0@yandex.ruK.N. Laptev

Automation of the maple system calculations for building the discrete models of the marine-vessel course autopilot64_11.pdf

The article deals with a script created in the Maple language that allows to check the properties of complete controllability and observability of a mathematical model for a ship’s course autopilot as well as to compute the matrix parameters of a discrete model for its subsequent use when building an adaptive discrete Kalman filter in order to identify the uncertainty parameters of the model.

Course autopilot of a marine vessel, Maple system, discrete model.


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

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

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

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

Adaptive method and algorithm for rapid estimation of traffic parameters in high-speed corporate multiservice communication networks64_12.pdf

The article deals with an adaptive method developed and an algorithm that implements it for the rapid evaluation of traffic characteristics and parameters in high-speed corporate multiservice communication networks. This algorithm operates in real-time environment.
High-speed corporate multiservice networks are characterized by high dynamics of changing their state, including changes in the characteristics of transmitted traffic. Under these conditions, the automated network management system should provide the required quality of communication services and services provided to users. Thus, the relevance of this study is determined by the need to implement network management processes in a mode close to real time, with a given quality in the conditions of dynamic priority of unknown changes in network characteristics.
The basis of the proposed method is the concept of conditional non-linear Pareto - optimal filtering by V.S. Pugachev, which consists in the fact that traffic parameters are estimated in two stages. Firstly, the forecast of parameter values is estimated, and then their correction is made with the following observations of parameters. Traffic parameter forecasts are made in a small sliding window, and refinement of current traffic parameter estimates is implemented by pseudogradient procedures, the parameters of which are regulated by the method of fuzzy Takagi-Sugeno logical output. In this case, increments in pseudo-gradient procedures are calculated relative to the average value of previous estimates calculated in a small moving window as well. This method reduced the average relative error of estimating the intensity parameters of non-stationary network traffic by 1.4-1.9 times, and also reduced the size of the sliding window in which it is processed from 1.7 to 4.2 times.
The proposed method and algorithm belong to the class of methods and algorithms which require a preliminary training. The average relative error in estimating traffic parameters does not exceed 7%, which is a sufficient value for the implementation of operational network management tasks.

Pseudogradient algorithm, conditionally nonlinear Pareto-optimal filtering, fuzzy logical Takagi-Sugeno conclusion, fuzzy rule base, fuzzy knowledge base.


ELECTRICAL ENGINEERING AND ELECTRONICS

Rudolf Aleksandrovich Brazhe, Doctor of Sciences in Physics and Mathematics, Professor, Head of the Department of Physics of Ulyanovsk State Technical University; graduated from the Faculty of Physics of Saratov State University named after N.G. Chernyshevsky; an author of many scientific papers, monographs, tutorials, and invention certificates; research interests are in the field of wave processes, nanomaterials, and nanoelectronics, computational and control systems elements. e-mail: brazhe@ulstu.ruR.A. Brazhe,

Dmitrii Andreevich Dolgov, graduated from the Engineering and Physics Faculty of High Technology of Ulyanovsk State University; a postgraduate student at the Department of Physics of UlSTU; an author of publications in the field of physics of nanostructures and control system elements. e-mail: deimosrffi@yandex.ruD.A. Dolgov

Nanorelay and logical elements based on graphene and hexagonal boron nitride64_13.pdf

Recently, the problem of creating new types of storage devices having non-volatile memory and commensurate in speed and number of rewriting cycles with operational storage is getting more relevant. However, microminiaturization of most known devices of this kind appears to have already reached scaling limits. In this regard, many computer developers have become involved in the development of low-power processors based on nanoelectromechanical relay elements.
The article proposes nanorelay and logical elements based on graphene and hexagonal boron nitride having piezoelectric properties. It describes their design features, working principles and expected characteristics are described.
It is noted that for the successful practical implementation of the proposed idea it is advisable to carry out additional works on synthesis of new two-dimensional piezoelectric and electroconductive nanostructures, which allow to reduce control voltage and the distance between relay contacts even in the off state.

Graphene, hexagonal boron nitride, nanorelay, logical elements.


Levchenko Roman Vasilevich, graduated from the Department of Computer-aided Design and Engineering at National University of Science and Technology MISIS with the Master’s degree in Applied Informatics; Postgraduate Student of the Department of Computer-aided Design and Engineering at NUST MISIS majoring in Informatics and Computer Science; specialized in the field of software development for quality express-testing the semiconductor performance. e-mail: karatays@yandex.ruL.R. Vasilevich

The algorithm for searching the solar cell scanning area to diagnose its efficiency64_14.pdf

The article deals with the method developed for diagnosing photo scanning of solar cells using a monitor screen and a personal computer connected to it. The photo-scanning method can be used as quality control in the technological chain of semiconductor devices. The method comprises hardware and software. The hardware part is used for obtaining photo- response in form of voltage. The software part ensures receiving, processing, storing and visualizing of data.
The proposed device has a problem of entering scanning area of the solar cells. This problem is revealed at stage of element positioning in the diagnostic process. The defect is eliminated by introducing a software and mathematical support for searching sensitive area of an element.
The algorithm of the scanning area search scanning is a process of exposure light spot in form of rows and columns. Photovoltage values in these areas are compared with the value of insensitivity limit. As a result, the program receives illumination area of the the solar cell effective region. The algorithm also increases the diagnostic speed in case of complete loss of efficiency in a some area of.

Solar battery, solar cell, semiconductor, diagnostics, automation, software, photoscanning method.


© FRPC JSC 'RPA 'Mars', 2009-2021 The web-site runs on Joomla!