ISSN 1991-2927
 

ACP № 2 (56) 2019

Section: "INFORMATION SYSTEMS"

Eduard Dmitrievich Pavlygin, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Science in Engineering; graduated from the Radioengineering Faculty of Ulyanovsk Polytechnic Institute; First Deputy of Director General in Scientific Affairs and Innovations of Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’; an author of articles in the field of statistical methods of signal processing. [e-mail: mars@mv.ru]E. Pavlygin,

Anatolii Gennadievich Podloboshnikov, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; Head of the Research Laboratory and Chief Designer at FRPC JSC ‘RPA ‘Mars’; research interests are in the field of special-purpose information system. e-mail: mars@mv.ruA. Podloboshnikov,

Ruslan Anatolevich Savinov, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, graduated from the Machine-building Faculty of UlSTU; Software Engineer at FRPC JSC ‘RPA ‘Mars’. research interests are in the field of special-purpose information system. [e-mail: mars@mv.ru]R. Savinov,

Nadezhda Glebovna Yarushkina, Ulyanovsk State Technical University, Doctor of Science in Engineering, Professor; graduated from Ulyanovsk Polytechnic Institute; First Vice-Rector, Vice-Rector in Scientific Affairs in UlSTU, Head of the Department of Information Systems at UlSTU; an author of more than 300 publications in the field of soft computing, fuzzy logic, and hybrid systems. [e-mail: jng@ulstu.ru]N. Yarushkina,

Aleksei Mikhailovich Namestnikov, Ulyanovsk State Technical University, Doctor of Science in Engineering, Associate Professor; graduated from the Radioengineering Faculty of UlSTU; an author of more than 80 publications in the field of computer-aided design and intelligent systems.[e-mail: nam@ulstu.ru]A. Namestnikov,

Aleksei Aleksandrovich Filippov, Ulyanovsk State Technical University, Candidate in Science in Engineering; graduated from the Faculty of Information Systems and Technologies of UlSTU; Associate Professor at the Department of Information Systems of UlSTU; an author of articles in the field of ontological modelling and building of computer-aided systems for knowledge processing. [e-mail: al.filippov@ulstu.ru]A. Filippov,

Anton Alekseevich Romanov, Ulyanovsk State Technical University, Candidate of Science in Engineering; graduated from the Faculty of Information Systems and Technologies of UlSTU; Associate Professor at the Department of Information Systems of UlSTU;an author of articles in the field of systems for data storage and processing, and time series mining. [e-mail:romanov73@gmail.com]A. Romanov,

Vadim Sergeevich Moshkin, Ulyanovsk State Technical University, Candidate of Science in Engineering; graduated from the Faculty of information systems and Technologies at UlSTU; Associate Professor of Information Systems at UlSTU; an author of more than 70 articles in the field of data mining systems. [e-mail: postforvadim@ya.ru]V. Moshkin,

Gleb Iurevich Guskov, Ulyanovsk State Technical University, graduated from the Faculty of information Systems and Technologies of UlSTU; Senior Lecturer at the Department of Information Systems of UlSTU; an author of publications in the field of ontological engineering and data mining systems. [e-mail: g.guskov@ulstu.ru]G. Guskov,

Maria Sergeevna Grigoricheva, Ulyanovsk State Technical University, Postgraduate Student at the Department of Information Systems of UlSTU; graduated from the Faculty of Information Systems and Technologies of UlSTU; Assistant Lecturer at the Department of Information Systems of UlSTU; an author of publications in the field of data mining. [e-mail:gms4295@mail.ru]M. Grigoricheva

Development of a Software Package for Data Mining of Social Media56_3.pdf

The article presents the results of work on a software package for data mining of social media. The architecture of the software package is described. Listed the main subsystems of the software package and third-party software systems used in the development of a software package. The organization of the data storage subsystem of the software package is considered, the data model of this subsystem is described. The approach to organizing the ontology repository of a software package based on a graph database is described, and the ontology translation method in the OWL / XML format into a graph database fragment is presented. The organization of the data search subsystem is considered, the method of extending the search query using ontology for accounting for the features of the subject area in the search process is described. Also presented is a method of formatting a search query to highlight the important elements of the query to improve the quality of the search. The organization of the social portrait building subsystem of the user of the social network VKontakte is described, the method of determining the categories of interests of the user is considered.

Social media, ontological analysis, natural language processing, data mining, software package.

2019_ 2

Sections: Information systems

Subjects: Information systems, Artificial intelligence.



Vladimir Nikolaevich Kliachkin, Ulyanovsk State Technical University, Doctor of Science in Engineering; graduated from the Mechanical Faculty of the Ulyanovsk Polytechnic Institute; Professor at the Department of Applied Mathematics and Computer Science of Ulyanovsk State Technical University; an author of articles in the field of reliability issues and statistical methods. [e-mail: v_kl@mail.ru]V. Kliachkin,

Dmitrii Anatolevich Zhukov, Ulyanovsk Branch of PJSC ‘Tupolev Design Bureau’, graduated from the Faculty of Information System and Technologies of Ulyanovsk State Technical University; a database engineer at the Ulyanovsk Branch of PJSC ‘Tupolev Design Bureau’; Postgraduate Student of the Department of Applied Mathematics and Computer Science; an author of articles in the field of the statistics methods and machine learning. [e-mail: zh.dimka17@mail.ru]D. Zhukov

Algorithm of Diagnostics of Technical Object Operation Using Aggregated Classifiers 56_4.pdf

The paper addresses the issue of prediction of technical object’s state of health using the known indicators of its operation. The basic data are the known results of the object state estimation by information about previous service: the technical system is healthy or faulty with predetermined values of specified indicators. Such problem may be solved using the machine learning methods, it reduces to binary classification of states of the object. The study showed that diagnostics quality may be improved by means of the binary classification method including aggregated approach, as well as by means of selection of the volume of the validation set and the method of selection of relevant indicators of object operation. In the example (used for the algorithm testing), F-measure value, which is the most reliable diagnostics quality measure for unbalanced classes, has increased by 6% (from 0.86 to 0.91), compared with the Support Vector Machine, and by 2%, compared with the bagging of decision trees which is the best basic method for the example considered (F = 0.89). In some cases, this 2% may be of significance from the perspective of the object operation security.

Technical diagnostics, healthy state, operation indicators, machine learning, aggregated approach, validation set, cross-validation.

2019_ 2

Sections: Information systems

Subjects: Information systems.



Anton Olegovich Kravtsov, St. Petersburg State Transport University, graduated from the Faculty of Automation and Intelligent Technologies of Emperor Alexander I St. Petersburg State Transport University; Postgraduate Student at the Department of Electrical Communication of PGUPS; an author of articles in the field of information security of telecommunication networks; research interests are in the field of telecommunication control systems, security of the critical information infrastructure. [e-mail:kravcovanton@mail.ru]A. Kravtsov,

Andrei Andreevich Privalov, St. Petersburg State Transport University, Doctor if Military Sciences, Professor; graduated from the Stavropol High School of Communications; Professor at the Department of Electrical Communication of PGUPS; an author of more than 110 research articles and educational materials, eight inventions in the field of information security and mathematical modeling of systems and communication processes, telecommunication control systems. [e-mail: aprivalov@inbox.ru]A. Privalov,

Mariia Anatolevna Rakk, St. Petersburg State Transport University, Candidate of Science in Engineering; graduated from the Electroengineering Faculty of Leningrad Railway Transport Institute; Associate Professor at the Department of Electrical Communication of PGUPS; an author of articles in the field of queueing systems, communication system simulation. [e–mail: rakkma@mail.ru]M. Rakk

The Model of Data-Burst Transmitting Process in the Network MPLS-TP in Terms of Computer Attacks at Rare Influx of Data 56_5.pdf

The strategy of scientific and technical development of the ‘Russian Railways’ holding for the period up to 2020 and the prospect till 2025 ‘White book’ envisages the organization of a batch Multiservice Transport Network of railway telecommunication on the basis of Multi-Protocol switching technology on the labels for the transport network-Multiprotocol Label Switching-Transport Profile (MPLS-TP). The authors have developed a mathematical model of the process of transferring data packets in the network MPLS-TP in the conditions of computer attacks at rare influx of data. The probability of the successful cyberattacks on a network element implemented by penetrator as well as a mean time for that are characteristics of cyberattacks. Formulas for calculating mean time, the probability density function as well as the function of transfer time distribution in the n conditions of computer attacks on Multiservice Transport Network MPLS-TP Technology at rare influx of data and at the various values of the probability of penetrator’s accessibility to each network element on the routing of transmitting and recovering of each network-element performance after cyberattacks.

Transport communication network, MPLS-TP technology, Method of topological transformation of stochastic networks, calculation of average time of the package delivery, routing, computer attacks, critical information infrastructure, protection of critical information structure.

2019_ 2

Sections: Information systems

Subjects: Information systems.



Sergei Mikhailovich Ratseev, Ulyanovsk State University, Doctor of Sciences in Physics and Mathematics, Associate Professor; graduated from the Faculty of Mechanics and Mathematics of Ulyanovsk State University; Professor of the Department of Information Security and Control Theory of Ulyanovsk State University; an author of articles, textbooks in the field of cryptographic methods of information protection, PI-algebras. [e-mail: ratseevsm@mail.ru]S. Ratseev,

Andrei Mikhailovich Ivantsov, Ulyanovsk State University, Candidate of Science in Engineering; graduated from the Leningrad Higher Military Engineering School of Communications; graduated from the Military Academy of Communications; a postgraduate from the Military Academy of Communications; Associate Professor of the Department of Information Security and Control Theory of Ulyanovsk State University; an author of articles, textbooks in the field of information security. [e-mail: iwanzow@mail.ru]A. Ivantsov

On Some Properties of Cryptographic Hash Functions 56_6.pdf

The article deals with hash functions with and without secret key. For the hash functions without a secret key, a condition of uniform distribution of hash functions values with a random equiprobable choice of argument values is one of the additional requirements. The rationale of this requirement is given on the example of a finite set of messages using the concept of the balanced functions. Authors demonstrate that the probability of the fact of nondetection of the message (or file) change does not exceed the reciprocal power value of hash function images. For modern hash functions with length of hash values of 256‒512 bits, it means that such probability is slim to none. The paper is also survey of recent results of investigations on authentication codes resistant to imitation and substitution messages. The case when the probabilities of imitation and substitution reach the lower limits has been highlighted. Such authentication codes are called optimal. We study constructions of optimal authentication codes based on orthogonal tables. The case of optimal authentication codes with optional uniform distribution on the set of keys is studied.

Hash function, authentication code, message simulation.

2019_ 2

Sections: Information systems

Subjects: Information systems.



Irina Aleksandrovna Moshkina, Ulyanovsk State Technical University, Candidate of Science in Engineering; Associate Professor at the Department of Information Systems of Ulyanovsk State Technical University; graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; an author of articles in the field of intellectual analysis of time series. [e-mail: timina_i@mail.ru]I. Moshkina,

Evgenii Nikolaevich Egov, Ulyanovsk State Technical University, graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; Assistant at the Department of Information Systems at Ulyanovsk State Technical University; at author of articles in the field of data mining. [e-mail: e.egov@ulstu.ru]E. Egov

Project State Forecasting on Time Series of Metrics and on Detected Anomalies 56_8.pdf

The article deals with an example of the anomalies detection when analyzing the time series of metrics that characterize the project activity to adjust the project state forecasting. Project activity metrics are analyzed. A forecasting algorithm based on fuzzy tendency of time series metrics is developed and implemented. Authors suggest a procedure for detecting the time series anomaly based on entropy. A formula for computing the entropy measure for a fuzzy time series is proposed. The algorithm allows to take into account the dependence of the predicted values on the entropy measures. For forecasting, a hypothesis is used, which is formed for a given period on the basis of a trend. The results of the application of the proposed approach for forecasting the state of the project "FreeNAS9" are given.

Time series, software metrics, entropy, forecasting.

2019_ 2

Sections: Artificial intelligence

Subjects: Artificial intelligence, Information systems.



Aleksei Sergeevich Katasev, Kazan National Research Technical University named after A.N. Tupolev-KAI, Candidate of Science in Engineering; graduated from the Faculty of Physics and Mathematics of the Elabuga State Pedagogical Institute; Associate Professor of the Information Security Systems Department of the Kazan National Research Technical University named after A.N. Tupolev-KAI; an author of scientific works in the field of mathematical modeling, data analysis and development of intelligent decision support systems. [e-mail: Kat_726@mail.ru]A. Katasev

Neuro-fuzzy Model and Software Complex for Automation of Forming Fuzzy Rules for Objects State Assessing 55_3.pdf

This article deals with the task of objects state assessing in uncertainty. To solve it, the need to use of fuzzy knowledge bases and fuzzy inference algorithms as part of fuzzy expert systems is being actualized. As a tool for a knowledge base formation, a neuro-fuzzy model is proposed. The proposed type of fuzzy rules and the logical inference algorithm on the rules for object state assessing are described. A structure of a fuzzy neural network consisting of six layers is proposed, each of which implements a corresponding stage of the logical inference algorithm. As a result of learning a fuzzy neural network, a system of fuzzy rules is formed, which make up the knowledge base for object state assessing. On the basis of the proposed neuro-fuzzy model, a software complex was implemented for automating the processes of forming fuzzy rules. The main components of the software complex are the knowledge base generation module and the fuzzy inference module. As an approbation of the neuro-fuzzy model, the formation of fuzzy rules for water lines state assessing at the pumping stations in reservoir pressure maintenance systems has been carried out. The results of the testing confirmed the high efficiency of the neuro-fuzzy model and the possibility of its practical use for the formation of fuzzy rules in various subject areas.

Neuro-fuzzy model, fuzzy neural network, fuzzy rules formation, knowledge base, object state assessment, decision-making support.

2019_ 1

Sections: Information systems

Subjects: Information systems, Artificial intelligence.



Natalia Nikolaevna Baranova, Ulyanovsk Instrument Manufacturing Design Bureau, JSC, graduated from the Faculty of Mechanics and Mathematics of Ulyanovsk State University; Leading Information Security Engineer at Ulyanovsk Instrument Manufacturing Design Bureau, JSC; an author of articles in the field of information security. [e-mail: natasha_bn@mail.ru]N. Baranova,

Iurii Vladimirovich Orlov, Novouralsk National Research Nuclear University of MEPhI, graduated from the Faculty of Mechanics and Mathematics of Ural State University; Senior Lecturer of the Department of Physics and Mathematics of Novouralsk National Research Nuclear University of MEPhI; an author of articles in the field of simulation and analyzing of random processes. [e-mail: orlove79@yandex.ru]I. Orlov

The Reliability of a Modular Information Security System in Instrument-making Enterprises 55_4.pdf

The article presents a modular approach to the design of information security system in an instrument-making enterprise. It is proposed to assess the reliability of the designed information security system in three stages. The method for evaluating the reliability of a modular information security system at a given amount of work performed in an instrument-making enterprise as well as a method for the system behavior evaluation when increasing the amount of work are described. Methods for assessment of the information security threat performance probability, the damage probability upon detection and non-detection of the performed threats as well as for the calculation of the system reliability are considered. The method for calculating the reliability of the modular information security system when performing of several similar tasks is presented. The importance of fragmentation of modules under the influence of security threats and the impact of this approach on the overall reliability of the system in an instrument-making enterprise are shown.

Modular information security system, reliability of information security system, information security, information security threats.

2019_ 1

Sections: Information systems

Subjects: Information systems.



Aleksandr Viacheslavovich Mikheev, Ulyanovsk Regional Center of New Information Technologies of Ulyanovsk State Technical University, graduated from Ulyanovsk State Technical University; Software Engineer at the Ulyanovsk Regional Center of New Information Technologies of Ulyanovsk State Technical University; his research interests include machine learning. [e-mail: a.miheev@simcase.ru]A. Mikheev,

Kirill Valerevich Sviatov, Ulyanovsk State Technical University, Candidate of Science in Engineering; graduated from Ulyanovsk State Technical University; Dean of the Faculty of Information Systems and Technologies at UlSTU; an author of 40 articles, 3 monographs, 1 textbook, and 4 State Registration Certificate of the Computer Program; his research interests are in the field of machine learning and robotics. [e-mail: k.svyatov@ulstu.ru]K. Sviatov,

Daniil Pavlovich Kanin, Ulyanovsk State Technical University, a student of the Faculty of Information Systems and Technologies of the Computer Science Department at Ulyanovsk State Technical University, a winner of robotics competitions; his research interests are in the field of machine learning. [e-mail: dan-kan@mail.ru]D. Kanin,

Sergei Vladimirovich Sukhov, Ulyanovsk Branch of the Kotel’nikov Institute of Radioengineering and Electronics of the Russian Academy of Sciences, Candidate at Science in Physics and Mathematics; graduated from the Ulyanovsk Branch of Lomonosov Moscow State University; Senior Researcher at the Ulyanovsk Branch of the Kotel’nikov Institute of Radioengineering and Electronics of the Russian Academy of Sciences; an author of one monograph, 70 articles, and 2 patents for inventions; his research interests are in the field of optics, computational neurobiology, machine learning [e-mail: ssukhov@knights.ucf.edu]S. Sukhov,

Vadim Georgievich Tronin, Ulyanovsk State Technical University, Candidate of Science in Engineering; graduated from Ulyanovsk State Technical University; Associated Professor at the Department of Information Systems of UlSTU; an author of 50 articles, 1 textbook; his research interests are in the field of project management and theory of inventive problem-solving. [e-mail: v.tronin@ulstu.ru]V. Tronin

The Scene Segmentation in the Tasks for Self-driving Vehicle Navigation By Using Neural Network Models With Attention 55_5.pdf

The article deals with the designing process of software module for the road signs recognition. This module is designated for the use in the automated control system of self-driving vehicles and is being developed at Ulyanovsk State Technical University.The creation of the training dataset sufficient to train neural network models is one of the major tasks to be solved when creating computer vision systems for self-driving vehicles. In this case, the preparation of a large sample in the semantic scene segmentation task may require considerable efforts for “manual” labeling. Authors describe a convolutional network model with a soft attention mechanism. This network is trained in the classification task with the possibility of extracting an attention mask from the internal network state, which can be used for the semantic image segmentation. This approach allows to reduce data-labeling costs significantly.

Artificial intelligence, neural networks, machine learning, computer vision, attention networks.

2019_ 1

Sections: Information systems

Subjects: Information systems, Artificial intelligence.



Viacheslav Viktorovich Epifanov, Ulyanovsk State Technical University, Doctor of Science in Engineering; graduated from the Machine-Building Faculty of Ulyanovsk Polytechnic Institute; Professor at the Department of Motorcars of Ulyanovsk State Technical University; an author of monographs, articles, inventions in the field of the automation of preproduction engineering. [e-mail: v.epifanov73@mail.ru]V. Epifanov,

Aleksandr Nikolaevich Afanasev, Ulyanovsk State Technical University, Doctor of Science in Engineering; Professor graduated from the Faculty of Radioengineering of Ulyanovsk Polytechnic Institute; First Vice Rector, Vice Rector for Remote and Additional Education of Ulyanovsk State Technical University; an author of more than 200 articles in the field of CAD. Research interests are automated training systems, organization of computing processes and structures of computers, design of intelligent systems, CAD, management of complex workflows, diagrammatica of graphic languages. [e-mail: a.afanasev@ulstu.ru]A. Afanasev

Automated System for the Selection of Quality Process Equipment in Serial Production 54_3.pdf

The reasonable selection of process equipment can provide increasing of preproduction engineering efficiency of processes and manufacturing system in the conditions of multiproduct serial manufacturing. Therefore, the article deals with a theoretical foundation of the complexity of components as solids of revolution. It is cost-effective to use manual or computer-controlled metal-cutting machines while manufacturing.The article provides an algorithm and a functional block diagram for the automated system for the process equipment selection (the System). It includes four subsystems: a component coding, a component characteristic correlation, a design selection, a technical documentation output.At industrial enterprises, the System allows to improve significantly the production engineer`s performance while preproduction engineering, the quality of design decisions they take, and the efficiency of the production system.

Machine unit, component, coding, classification, automation, system.

2018_ 4

Sections: Information systems

Subjects: Information systems.



Vasilii Demianovich Chervatiuk, Joint Stock Company ‘Research and Production Center ‘Polus’, graduated from Kharkov Aviation Institute; Leading Software Engineer of Joint Stock Company ‘Research and Production Center ‘Polus’ in Tomsk; Postgraduate Student of the School of Nondestructive Testing and Security of Tomsk Polytechnic University; an author of articles in the field of electronic document management and electronic archive as well as complex information system development [e-mail: sveto-gor@yandex.ru]V. Chervatiuk,

Nikolai Nikolaevich Koblov, JSC ‘RPC ‘Polus’, Candidate of Science in Engineering; graduated from the Tomsk State University of Control Systems and Radioelectronics; Head of Information Technology Department of JSC ‘RPC ‘Polus’; an author of articles in the field of complex CAD-system creation, product data management systems as well as electronic document management. [e-mail: nnk2002@mail.ru]N. Koblov

Archive of Electronic Engineering Specification Originals of a Research-and-production Enterprise 54_4.pdf

The article deals with basic requirements and general-system functions for constructing the electronic engineering - specification original archive. Authors consider the model of electronic archive, specify the basic data storage bases for the all necessary details included in an electronic document and the contents. Mechanisms of an effective interaction of several enterprises working together with engineering specifications to develop the joint projects are described. An automated control system for managing the engineering data and the manufacturing processes developed by JSC ‘RPC ‘Polus’ (city of Tomsk) and introduced in the enterprise is presented. The system allows to operate with the archive of technical documents independent from CAD-system in which they were created. The results of increasing the effectiveness of engineering specification release at transition to electronic archive and electronic document workflow are shown.

Archive of technical documentation, electronic original, automated control system, electronic document workflow, universal data exchange mechanism, emailin.

2018_ 4

Sections: Information systems

Subjects: Information systems.


Iuliia Aleksandrovna Radionova, FRPC JSC ‘RPA ‘Mars’, Candidate of Science in Engineering; graduated from the Faculty of Mathematics and Mechanics of Ulyanovsk State University; finished her postgraduate study at Ulyanovsk State Technical University; Lead Software Engineer at FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of automated workflow systems, intelligent technical documentation storages, and statistical analysis of supplier appraisal. [e-mail: julia-owl@mail.ru]I. Radionova,

Aleksandr Alekseevich Emelianov, FRPC JSC ‘RPA ‘Mars’, Candidate of Science in Engineering; graduated from F.E. Dzerzhinsky Military Academy; Chief Specialist of FRPC JSC ‘RPA ‘Mars’; an author of publications in the field of the quality management and information security systems creation, statistical analysis of supplier appraisal. [e-mail: mars@mv.ru]A. Emelianov,

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

Application of Statistical Data in a Dynamic Model of Software Reliability Evaluation 54_5.pdf

Authors consider an issue of software reliability evaluation, general definitions and reliability performances as well as the existing models of reliability evaluation. The parameters of existing models have been analyzed. A model best applying for evaluating the software reliability under conditions of operational testing has been chosen. A modification of the chosen model has been developed, which takes into account the complexity of software, the work distribution while software developing, the qualification of implementers, the distinction between the complexity and importance of errors detected while testing. A database structure has been developed for storage information on experimental findings. A software implementation of initial and modified models has been carried out. A plan of experiments has been designed. A testing simulation with various combinations of initial data has been implemented. Errors of model operation have been analyzed and compared. On the base of the implemented analyze, a conclusion on a higher effectiveness of the software reliability evaluation implemented by the use of the modified model has been provided. A concept of the performance factor of an implementer has been introduced, the dynamics of this factor has been analyzed based on statistical data obtained. The analysis proved the validity of the concept determination in the model developed. The conclusion on the possibility of implementing the additional functional for software reliability evaluating with separation to modules as well as of making the recommendations on the tasks assigned to implementer after the carried-out analysis of detected errors has been drawn.

Software reliability, model of reliability evaluation, testing, effectiveness.

2018_ 4

Sections: Information systems

Subjects: Information systems.


Viktor Vladimirovich Prikhodko, the S.P. Kapitsa Research Institute of Technology at Ulyanovsk State University, Candidate of Science in Physics and Mathematics; graduated from the Faculty of Physics and Mathematics of the Ulyanovsk Branch of Lomonosov Moscow State University; Senior Staff Scientist at the S.P. Kapitsa Research Institute of Technology at Ulyanovsk State University; his research interests include solid state physics, optics, telecommunications. [e-mail: vvp@ulsu.ru]V. Prikhodko,

Sergei Gennadievich Novikov, the S.P. Kapitsa Research Institute of Technology at Ulyanovsk State University, Candidate of Science in Engineering; graduated from the Faculty of Physics and Mathematics of the Ulyanovsk Branch of Lomonosov Moscow State University; Head of the Solid State Electronics Laboratory at the S.P. Kapitsa Research Institute of Technology at Ulyanovsk State University; his research interests include microelectronics, negatronics, optoelectronics, semiconductor devices with positive feedback. [e-mail: novikovsg@ulsu.ru]S. Novikov,

Aleksandr Sergeevich Alekseev, the S.P. Kapitsa Research Institute of Technology at Ulyanovsk State University, Postgraduate Student of Ulyanovsk State University; graduated from the Faculty of High Technology Physics and Engineering of Ulyanovsk State University; Research Assistant at the S.P. Kapitsa Research Institute of Technology at Ulyanovsk State University; his research interests include semiconductor devices, optoelectronics and microelectronics. [e-mail: granik@ya.ru]A. Alekseev,

Aleksei Valentinovich Berintsev, the S.P. Kapitsa Research Institute of Technology at Ulyanovsk State University, Candidate of Science in Engineering; graduated from the Faculty of Radioengineering of Ulyanovsk State Technical University; Engineer of the S.P. Kapitsa Research Institute of Technology at Ulyanovsk State University; his research interests include optoelectronics, microelectronics, semiconductor devices; an author of articles and inventions in the field of measurement automation and optoelectronic devices research. [e-mail: berints@mail.ru]A. Berintsev,

Aleksei Sergeevich Kadochkin, the S.P. Kapitsa Research Institute of Technology at Ulyanovsk State University, Candidate of Science in Physics and Mathematics; graduated from the Faculty of Physics and Engineering of Ulyanovsk State University; Senior Staff Scientist of the S.P. Kapitsa Research Institute of Technology at Ulyanovsk State University; his research interests include optics, plasmonics. [e-mail: askadochkin@sv.ulsu.ru]A. Kadochkin,

Viacheslav Viktorovich Svetukhin, the S.P. Kapitsa Research Institute of Technology at Ulyanovsk State University, Doctor of Science in Physics and Mathematics; graduated from the Faculty of Physics and Engineering of the Ulyanovsk Branch of Lomonosov Moscow State University; Professor, Leading Staff Scientist of the S.P. Kapitsa Research Institute of Technology at Ulyanovsk State University; his research interests include defect formation in semiconductor devices, radiation physics and technology; an author of articles in the field of semiconductor physics and physical material science. [e-mail: slava@sv.uven.ru]V. Svetukhin,

Andrei Ilich Somov, the S.P. Kapitsa Research Institute of Technology at Ulyanovsk State University, Candidate of Science in Physics and Mathematics; graduated from the Faculty of Physics and Engineering of the Ulyanovsk Branch of Lomonosov Moscow State University; Senior Staff Scientist of the Solid- State Electronics Laboratory at the S.P. Kapitsa Research Institute of Technology at Ulyanovsk State University; his research interests include semiconductor devices, optoelectronics, probabilistic processes. [e-mail: andrey_ somov@mail.ru]A. Somov

A System of Monitoring the Individual Absorbed Doses of Ionizing Radiation Based on a Gafchromic EBT3 Radiochrome Film 54_12.pdf

A system for monitoring the absorbed dose of ionizing radiation containing a personal dosimeter of the absorbed dose and a reader (system of readers) is proposed. The sensor material of the dosimeter is a Gafchromic EBT3 photochromic film, sensitive to both X-ray and gamma radiation. An original detector design containing an LED, two photodetectors located in one plane, and an optical flux divider with a mirror coating is proposed. Above one of the photoreceivers, a sensory element is placed, the change in optical transparency of which carries information about the absorbed dose. To transmit data on the measured dose, the radio channel and RFID technology are used. As readers of the data on the accumulated dose, mobile, desktop and stationary RFID readers can be used, including those integrated into enterprise information systems. The sensor used in the personal dosimeter makes it possible to measure the absorbed dose continuously for a long period of time. In addition, the dosimeter does not contain a power source, and the energy necessary for operation comes at the moments of interaction of the personal dosimeter with the reader, which ensures a reduction in the mass-dimensions and the possibility of implementing the dosimeter in a compact form factor.The results of model calculations and experimental studies carried out to justify the possibility of constructing a detector based on the Gafchromic EBT3 radiochromic film are presented.

Gafchromic ebt3, rfid, monitoring system, personal dosimetry, dosimeter of absorbed dose, radiochromic films, gafchromic ebt3, radio frequency identification, rfid, x-ray radiation, gamma radiation, numerical modeling, optical spectroscopy.

2018_ 4

Sections: Electrical engineering and electronics

Subjects: Electrical engineering and electronics, Information systems.


Vitalii Ivanovich Smirnov, Ulyanovsk State Technical University, Doctorof Sciencein Engineering, Professor; graduatedfrom Lobachevsky State University of Nizhny Novgorod with the specialty in Physics; Professor of the Department of Design and Technology of Electronic Instrumentation at Ulyanovsk State Technical University; an author of articles, monographs, inventions in the field of measurement instrument automation. [e-mail: smirnov-vi@mail.ru]V. Smirnov,

Viacheslav Andreevich Sergeev, Ulyanovsk Branch of the Kotel’nikov Institute of Radioengineering and Electronics of the Russian Academy of Sciences, Doctor of Science in Engineering, Professor; graduated from the Faculty of Physics of Lobachevsky State University of Nizhny Novgorod; Director of the Ulyanovsk Branch of the Kotel’nikov Institute of Radioengineering and Electronics of the Russian Academy of Sciences; Head of the Basic Department of Radioengineering, Opto- and Nanoelectronics of Ulyanovsk State Technical University; an author of monographs, papers, and inventions in the field of the modeling and researching semiconductor devices and integrated circuits parameters and the measurements of its thermal characteristics. [e-mail: sva@ulstu.ru]V. Sergeev,

Andrei Anatolievich Gavrikov, Ulyanovsk Branch of the Kotel’nikov Institute of Radioengineering and Electronics of the Russian Academy of Sciences, Candidate of Science in Engineering; graduated from Ulyanovsk State Technical University with the specialty in Design and Technology of Electronic Instrumentation; Senior Staff Scientist at the Ulyanovsk Branch of the Kotel’nikov Institute of Radioengineering and Electronics of the Russian Academy of Sciences; an author of articles and inventions in the field of measurement of thermal and physical parameters of semiconductor devices. [e-mail: a.gavrikoff@gmail.com]A. Gavrikov

Apparatus for Measurement of Thermal Impedance of Solar Batteries 54_14.pdf

This paper describes apparatus for measuring the thermal impedance of solar batteries. A modulation method that uses the harmonic heating power modulation is a base of the apparatus operation. This method allows to determine the thermal resistance components corresponding to the structural elements of a solar battery. To solve the problem, the post processing method for thermal impedance dependence on modulation frequency was developed.Apparatus provides a measurement range of thermal resistance from 0.01 to 100 K/W, the measurement error is 5%, the range of heating currents is from 0.25 up to 4 A, the range of heating power modulation frequency is 0.01 up to 1000 Hz.Research of thermal physical processes in solar batteries performed by the apparatus shows that thermal resistance dependence on heating current is non-linear. This is explained by the non-uniform current distribution through the junction due to the presence of positive thermal feedback.

Thermal resistance, thermal impedance, modulation method, solar battery, current localization.

2018_ 4

Sections: Electrical engineering and electronics

Subjects: Electrical engineering and electronics, Information systems.


Dmitrii Vladimirovich Ganin, Nizhny Novgorod State University of Engineering and Economics, Candidate of Science in Economics, Associate Professor; graduated from Nizhny Novgorod State Agricultural Academy; Vice-Rector for Scientific Affairs and Innovation Development of the Nizhny Novgorod State University of Engineering and Economics; an author of 35 scientific papers among them in the field of communication theory. [e-mail: ngiei135@mail.ru]D. Ganin,

Roman Vladimirovich Klimov, Nizhny Novgorod State University of Engineering and Economics, graduated from Ulyanovsk State Technical University, Assistant Professor of the Department of Information and Communication Technologies and Systems at the Nizhny Novgorod State University of Engineering and Economics; an author of articles, monograph, and patents in the field of communication theory. [e-mail: klimov_exp@mail.ru]R. Klimov,

Pavel Nikolaevich Romanov, Nizhny Novgorod State University of Engineering and Economics, graduated from the Moscow Technical University of Communications and Informatics; Assistant Professor of the Department of Information and Communication Technologies and Systems at the Nizhny Novgorod State University of Engineering and Economics; an author of articles in the field of soft decoding redundant codes. [e-mail: pavel.romanov011@gmail.com]P. Romanov,

Dmitrii Aleksandrovich Semenov, Nizhny Novgorod State University of Engineering and Economics, Candidate of Science in Engineering, Associate Professor; graduated from the Nizhny Novgorod State University of Engineering and Economics; Head of the Department of Information and Communication Technologies and Systems at the Nizhny Novgorod State University of Engineering and Economics; an author of articles in the field of power engineering. [e-mail: xxxmy@mail.ru]D. Semenov,

Aleksandr Evgenevich Borisov, FRPC JSC ‘RPA ‘Mars’, graduated from Ulyanovsk State Agricultural Academy; Engineer of FRPC JSC ‘RPA ‘Mars’; specializes in the field of soft decoding redundant codes. [e-mail: ]A. Borisov

Creation of Regenerative Codes and Local Codes on the Basis of Production Codes With Even Parity 53_4.pdf

Tasks on optimal problem solving in the selection of noise-resistant coding schemes arise when designing and developing new data storage systems (Storage). Storage reliability, redundancy, data availability, the amount of data traffic that occurs in the conditions of failure of individual storage devices can be referred to the criteria of optimal Storage. Methods of correcting coding, traditionally used in Storage, do not allow to achieve multi-criteria optimality for all described parameters. The use of regenerative and locally decoded codes is a solution for a problem of finding the optimal approach to correcting coding. The paper presents an approach to the implementation of the construction of regenerative codes based on the use of the product of codes with a simple test for parity with the shift of control characters of storage areas. The proposed method allows to reduce the load on the data transmission network in the cases of reconstruction procedures of lost storage devices. The method of construction of locally decoded codes on the basis of the product of codes with parity check of any dimension is also presented.

Distributed data storage systems, regeneration coding, locally decodable codes, product codes with a simple even parity.

2018_ 3

Sections: Information systems

Subjects: Information systems.


Dionisii Igorevich Shlykov, FRPC JSC ‘RPA ‘Mars’, graduated from the Faculty of Mathematics, Information and Aviation Technologies of Ulyanovsk State University; Software Engineer at FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of information security. [e-mail: shlykov.di@mail.ru]D. Shlykov

On Speed Cipher Implementation Using Aes Algorithm in Sdicrypt-library 53_5.pdf

The article deals with methods for improving the efficiency of symmetric ciphers illustrated by the example of AES algorithm that is an international advanced encryption standard of block ciphers ISO/IEC 18033-3:2010. It is demonstrated that these methods allow to exceed the popular cryptographic libraries OpenSSL и Crypto++ in speed performance twice and more than twice. Speed performance curves of algorithms for encryption and decryption information using AES algorithm from the developed library and the corresponding curves relative to OpenSSL и Crypto++. libraries are considered.

Cipher, symmetric cipher, aes algorithm, hardware implementation, gpu computing.

2018_ 3

Sections: Information systems

Subjects: Information systems.


Nafis Gishkullovich Talipov, Kazan National Research Technical University named after A.N. Tupolev-KAI, Candidate of Science in Engineering; graduated from the Pacific Higher Naval School named after S.O. Makarov; Associate Professor of the Information Security Systems Department of the Kazan National Research Technical University named after A.N. Tupolev-KAI (KNRTU-KAI); an author of scientific works in the field of mathematical modeling, decision support systems, fuzzy methods of rational choice of alternatives. [e-mail: talipovng@gmail.com]N. Talipov,

Aleksei Sergeevich Katasev, Kazan National Research Technical University named after A.N. Tupolev-KAI, Candidate of Science in Engineering; graduated from the Faculty of Physics and Mathematics of Elabuga State Pedagogical Institute; Associate Professor of the Information Security Systems Department of the KNRTU-KAI; an author of scientific works in the field of mathematical modeling, data mining, decision support systems. [e-mail: Kat_726@mail.ru]A. Katasev,

Sofia Sergeevna Kildeeva, Kazan National Research Technical University named after A.N. Tupolev-KAI, graduated from the Institute of Computer Technologies and Information Security of the KNRTU-KAI; Master Student of the Information Security Systems Department of the KNRTU-KAI; an author of scientific works in the field of mathematical modeling. [e-mail: Sofi-pi@mail.ru]S. Kildeeva,

Dina Vladimirovna Kataseva, Kazan National Research Technical University named after A.N. Tupolev-KAI, graduated from the Faculty of Enterprise Economics of the Kazan State Financial and Economic Institute; Senior Lecturer of the Information Security Systems Department of the KNRTU-KAI; an author of scientific works in the field of mathematical modeling, analysis and forecasting of time series. [e-mail: 415pisarevadv@mail.ru]D. Kataseva

Automation of Tasks Distribution Process in Electronic Document Management Systems Based on Fuzzy-production Model 53_6.pdf

This article solves the problem of tasks distribution to performers in electronic document management systems. A fuzzy product model is being developed to solve this problem. Its construction required fuzzy-product rules type choice, their construction methodology development, an output on rules algorithm, as well as methods for membership functions constructing and fuzzy rules reliability determining. On the basis of the proposed methods and algorithms, a software package was developed, that supports decision-making in task performer’s choice. The software package structure, the developed model adequacy experiments results, as well as its practical use results are presented.

Electronic document management, task distribution, fuzzy product model, software complex, decision making.

2018_ 3

Sections: Information systems

Subjects: Information systems.


Kirill Valerevich Sviatov, Ulyanovsk State Technical University, Candidate of Science in Engineering; graduated from Ulyanovsk State Technical University; Dean of the Faculty of Information Systems and Technologies at Ulyanovsk State Technical University; an author of articles, monographs, textbooks, and certifications of software registration in the field of machine learning and robotic engineering. [e-mail: k.svyatov@ulstu.ru]K. Sviatov,

Aleksandr Viacheslavovich Mikheev, Ulyanovsk Regional Center of New Information Technologies at UlSTU, graduated from Ulyanovsk State Technical University; software engineer of the Ulyanovsk Regional Center of New Information Technologies at UlSTU; interested in the field of machine learning. [e-mail: a.miheev@simcase.ru]A. Mikheev,

Maksim Andreevich Shliamov, Ulyanovsk State Technical University, Student of the Faculty of Information Systems and Technologies at Ulyanovsk State Technical University; interested in the field of machine learning. [e-mail: m.shlyamov@simcase.ru]M. Shliamov

Software Package for Visual Monitoring of the Cargo Transportation 53_7.pdf

The article considers the process of designing and implementing a software package to check the completeness of trucks loading when passing checkpoints using technical vision algorithms and machine learning methods. Load completeness checking is used in the governmental supervision of the Russian roads operation as well as checking the cargo transportation volume by private companies when executing orders under the agreements for cargo transportation services. The article deals with the problem of supervising the volume of transported cargo in open-top trucks with bulk non-metallic materials (sand, gravel, coal). Currently, the problem of road-freight transport weight-checking is solved in most cases by the use of weighing units. Also, there are solutions when ultrasonic distance sensors are used that generate a signal corresponding to the shape of the vehicle when driving under several sensors. However, these solutions are quite expensive to install, they do not consider the difference between signals when various vehicle types or models are used on one route. In addition, the weight does not always reflect the completeness of the load body because some materials weigh much more than payload at low volume. And under different weather conditions (e.g. high humidity), the mass of certain goods can vary significantly within 15 percent. At the same time, the transportation efficiency is estimated based on the minimum possible number of passes for the export of cargo of the given volume. The vision systems allow to solve the problem on checking the transported bulk cargo volume. The article focuses on the development description of such a system.

Computer-aided design, artificial intelligence, neural networks, machine learning, computer vision.

2018_ 3

Sections: Information systems

Subjects: Information systems, Artificial intelligence.


Ilia Vladimirovich Zhuikov, Volga State University of Technology, Postgraduate Student; graduated from the Department of Applied Mathematics and Information Technologies of Volga State University of Technology; an author of articles in the field of intelligent test systems. [e-mail: zhuikill@yandex.ru]I. Zhuikov,

Igor Nikolaevich Nekhaev, Volga State University of Technology, Candidate of Science in Engineering, Associate Professor of the Department of Applied Mathematics and Information Technologies of Volga State University of Technology, Head of the e-Learning Center of Volga State University of Technology; an author of scientific papers in the field of soft computing, fuzzy logic, and e-learning. [e-mail: nehaevin@volgatech.net]I. Nekhaev

Application of Lp-structures When Constructing the Intelligent Test System 53_8.pdf

Tasks of competence level are complex tasks for solving which is not enough only knowledge, so learning and testing systems should be able to simulate structures of gradually complicating tasks. In some cases, these structures can be modeled using mathematical lattices describing the structure of cases with additional attitude of complication. This article describes a model of the lattice of non-complication of cases for the subject domain. A method for specifying and constructing such lattice using finite LP-structures and applying operations of transitive closure on the lattice of clarification of case situations is proposed. In conclusion, the example of using this approach to construct intelligent test system of the ability to perform solve tasks of comparing numbers from the domain of arithmetic of natural numbers is considered. It is shown that this approach could be used for further analyzing the results of solutions and to construct a more pragmatic lattice of complication of cases and test tasks.

Lp-структура, competency-based approach, intelligent test system, lattice of complication of cases, lp-structure.

2018_ 3

Sections: Information systems

Subjects: Information systems, Mathematical modeling, Artificial intelligence.


Mikhail Konstantinovich Samokhvalov, Ulyanovsk State Technical University, Doctor of Sciences in Physics and Mathematics, Professor; graduated from the Faculty of Physics of Saratov State University named after N.G. Chernyshevsky; Professor of the Department of Electronic Instrumentation Design and Technology at Ulyanovsk State Technical University; an author of articles and monographs in the field of optoelectronics. [e-mail: sam@ulstu.ru]M. Samokhvalov

Modeling the Brightness Dynamics of Thin-film Electroluminescent Capacitors 53_12.pdf

The processes of excitation of luminescence of thin-film electroluminescent capacitors within the model of direct shock excitation of activator centers in the luminophore are analyzed. Mathematical modeling of the dynamics of the brightness of radiation sources is carried out on the basis of the solution of the nonlinear ordinary differential equation describing the kinetics of changes in the density of excited centers of luminescence in the phosphor film. A program for numerical solution of nonlinear equation of luminance dynamics by Runge-Kutt method using a computer is developed. It is shown that the duration of transient processes determined by the brightness waves reaches 8-10 periods of applied alternating voltage. In order to obtain high brightness levels of electroluminescent indicators, it is necessary to excite the indicator elements with suites of alternating voltage pulses, the duration of which must be at least the time of reaching the steady-state operation.

Thin film electroluminescent capacitor, brightness, phosphor, electroluminescence, indicator.

2018_ 3

Sections: Electrical engineering and electronics

Subjects: Electrical engineering and electronics, Mathematical modeling, Information systems.


Aleksandr Alekseevich Emelianov, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Engineering; graduated from F.E. Dzerzhinsky Military Academy; Deputy Chief Engineer for Quality Assurance and Engineering Support - Head of the Management Department of Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’; an author of publications in the field of creation of the quality management and information security systems, statistical analysis of supplier appraisal. [e-mail: mars@mv.ru]A. Emelianov,

Iuliia Aleksandrovna Radionova, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Engineering; graduated from the Faculty of Mathematics and Mechanics of Ulyanovsk State University; finished her postgraduate study at Ulyanovsk State Technical University; Lead Software Engineer at FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of automated workflow systems, intelligent technical documentation storages, and statistical analysis of supplier appraisal. [e-mail: julia-owl@mail.ru]I. Radionova,

Aleksandr Leonidovich Savkin, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Military Sciences, Associate Professor; graduated from Ulyanovsk Higher Military Command School of Communications, Marshal Budjonny Military Academy of Signal Corps, completed postgraduate studies in the Military Academy of Communications; Head of Science and Engineering Support Department of FRPC JSC ‘RPA ‘Mars’; an author of scientific works, textbooks, and articles in the field of development and modelling of communication control systems and statistical analysis of supplier appraisal. [e-mail: mars@mv.ru]A. Savkin

Information and Analytical Model of Product Testing for Counterfeit 52_4.pdf

The article considers a problem of counterfeit products and the existing methods for solving this problem. An information and analytical method for the optimization of an expert product evaluation is proposed, which uses a parameter set and allows to automate the final decision-making process. The set of parameters takes into account not only indicators for suppliers, but also possible consequences of using counterfeit products for different groups of consumers. The method is based on the application of a neural network using a certain base of expert knowledge. Network training is provided during analyzing process with the possibility of correction by an expert. Modeling of the analysis process with different sets of input parameters and various parameters of the neural network was carried out. The results are stored in the database; the neural network performance is evaluated based on these results. The database structure, input parameters structure and the visualization of experimental results are presented.

Counterfeit, modeling, evaluation parameter, database, software, neural network.

2018_ 2

Sections: Information systems

Subjects: Information systems.


Aleksei Vladimirovich Neizhmak, he Marshal Budjonny Military Academy of Signal Corps, raduated from the Marshal Budjonny Military Academy of Signal Corps; Postgraduate Student in the Military Academy of Communications; an author of articles in the field of noise-immune coding. [e-mail: a.v.neizhmak@mail.ru]A. Neizhmak

The Model for the Operation of a Reliability Enhancement System Using Control Packages 52_5.pdf

The article deals with a formal description of the algorithm (process) of unidirectional transmission of information in a radio link with its feedback (unidirectional half-duplex). It does not violate the generality of the examination, since the process of simultaneous counterpropagating information in a radio link (duplex) is reduced to an independent description of two mutually independent unidirectional transmission processes. A description of the algorithm for the operation of a reliability enhancement system using control packages in terms of Markovian (semi-Markov) processes and the theory of stochastic control without considering the effect of electronic suppression are also given. For this purpose, the working states of the calling and answering subscribers were formulated and described, and a list of potential, allowed and reduced states was defined. For the purpose of explaining the principles of constructing the model, a radio link that functioned without taking into account the influence of the electronic suppression system was considered.

Reliability enhancement system, receipt, control packages, algorithm, transition state graph of a random process, calling subscriber, answering subscriber.

2018_ 2

Sections: Information systems

Subjects: Information systems.


Aleksandr Nikolaevich Afanasev, Ulyanovsk State Technical University, Doctor of Engineering, Professor; graduated from the Radioengineering Faculty of Ulyanovsk Polytechnic Institute; First Vice-Rector, Vice-Rector for Distance and Further Education of Ulyanovsk State Technical University; an author of more than 200 articles in the field of CAD; research interests are computer-aided training system, the organization of computing processes and structures of computers, design of intelligent systems, CAD systems, management of complex workflows, diagrammatics of graphic languages. [e-mail: a.afanasev@ulstu.ru]A. Afanasev,

Sergei Igorevich Brigadnov, Ulyanovsk State Technical University, graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; Postgraduate Student of 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 intelligent systems for the development of complex automated systems, automated learning environments. [e-mail: sergbrig@yandex.ru]S. Brigadnov

Methods and Means of a Complex System for the Analysis of Design Solutions and Designer Training 52_6.pdf

Currently, computer-aided design (CAD) systems have become an integral part of the work of designers, planners and architects. Modern CAD software systems allow to produce project documentation, perform engineering calculations, to perform modeling and rendering in 3D. A complex system of analysis of design solutions made in CAD KOMPAS-3D and the training of a designer is developed. The mathematical support of the integrated system for the analysis of design solutions and the training of the designer is developed: the method of structural and parametric analysis of project solutions, the associative-oriented model of the designer's competencies, the algorithm for forming the trajectory of training in computer-aided design. The architecture of the complex system is developed; its main components are described: the block of the analysis of design solutions, the block of training of the designer. The developed system supports the functions of automatic restructuring and classification of three-dimensional engineering products, as well as the formation of recommendations to the designer and personalized trajectory of learning computer-aided design in CAD KOMPAS-3D.

Cad kompas, analysis of design solutions, training of the designer, classification of products.

2018_ 2

Sections: Information systems

Subjects: Information systems.


Amir Muratovich Akhmetvaleev, Kazan National Research Technical University named after A.N. Tupolev-KAI, Postgraduate Student of Kazan National Research Technical University named after A.N. Tupolev-KAI; graduated from the Faculty of Technical Cybernetics and Informatics of the Kazan State Technical University named after A.N. Tupolev-KAI; an author of scientific works in the field of mathematical modelling, data analysis and machine learning methods. [e-mail: amir.akhmetvaleev@gmail.com]A. Akhmetvaleev,

Aleksei Sergeevich Katasev, Kazan National Research Technical University named after A.N. Tupolev-KAI, Candidate of Engineering; graduated from the Faculty of Physics and Mathematics of Elabuga State Pedagogical Institute; Associate Professor of the Information Security Systems Department of Kazan National Research Technical University named after A.N. Tupolev-KAI; an author of scientific works in the field of mathematical modelling, data analysis and development of intelligent decision support systems. [e-mail: Kat_726@mail.ru]A. Katasev

Instrumental Software Complex for Automation to Determine the Functional State of Intoxication of a Person 52_14.pdf

This article actualizes the need to determine the functional state of a person. Its decision is based on the application of the pupillometry method, which allows to determine the state of a person by his pupillary reaction to light changes. In order to automate the processes of determining the functional state of a person, an instrumental program complex is developed, based on the use of the neural network model. Its structure, composition and characteristics of components are described. The functioning of the program complex is considered on the example of the modules of neural network model construction, estimation of its accuracy on the basis of bootstrapping method, structural optimization of the model, and determining the functional state of a person. A number of researches and experiments were conducted on the basis of the program complex. The results of the influence of the number of stages of bootstrapping on the accuracy of the neural network model, the results of reduction of neural networks, the comparison of the accuracy of the model with the accuracy of other classification methods are presented. The results of the research showed the effectiveness of the neural network model and the possibility of its practical use to determine the functional state of the person in various subject areas.

Human functional state, papillomometry, neural network model, genetic algorithm, bootstrapping.

2018_ 2

Sections: Information systems

Subjects: Artificial intelligence, Information systems.


Arusia Vitalevna Vlasova, the Moscow State Technical University of Civil Aviation, Postgraduate Student; graduated from the Moscow State Technical University of Civil Aviation; Senior Lecturer at the Department of Organization of Business Processes in Aviation Industry of the Faculty of Management in Air Transport of MSTU CA; research interests are flight operating safety of aircrafts. [e-mail: arusya92@mail.ru]A. Vlasova

Effectiveness of the Use of Aviation Telecommunication Systems When Ensuring Flight Safety 51_3.pdf

The performance of any process, system, or device is a relationship between an achieved end result and resources that were spent on achieving this result. This review addresses to the effectiveness of an air traffic management system in regard to its telecommunications software. The ensuring of flight safety while maintaining a specified level of regularity and efficiency of aircraft operations is an ultimate goal of the air traffic management and its component parts of air traffic control. In this case, it is necessary to find the relationship between the indicators characterizing the ultimate goal of air traffic control (flight safety) and the telecommunication resources used. In the general case, it is best to solve this task sequentially in two stages. At the first stage, to estimate the effectiveness of the use of the flight-operations telecommunication systems of aircrafts, i.e. to select indicators characterizing their ultimate goal and find a correlation with the telecommunication resources used. At the second stage, the indicators characterizing the ultimate goal of the use of telecommunication systems can be considered as resources for determining the values of indicators characterizing the ultimate goal of air traffic control (indicators of the level of the flight safety management). This research paper examines the first stage of the mentioned approach, i.e. it assesses the effectiveness of the flight-operations telecommunication systems of aircrafts through the use of telecommunication resources. Frequency-domain and energy characteristics are considered as such resources. Probabilistic characteristics of these contacts are studied taking into account the stochastic nature of telecommunications contacts.

Telecommunication resources, radio communication, aircraft control operator, crew team, probability density function.

2018_ 1

Sections: Information systems

Subjects: Information systems.


Denis Konstantinovich Eltyshev, Perm National Research Polytechnic University, Candidate of Engineering; graduated from the Faculty of Electrical Engineering of Perm State Technical University; Associate Professor of the Department of Microprocessor Automation Means of Perm National Research Polytechnic University, Vice-Dean for research activity of students of the Faculty of Electrical Engineering; an author of articles in the field of expert system development and decision support systems in the operation of power equipment. [e-mail: eltyshev@msa.pstu.ru]D. Eltyshev,

Evgenii Nikolaevich Ershov, Perm National Research Polytechnic University, a bachelor; graduated from the Faculty of Electrical Engineering of Perm State Technical University; a candidate for a master's degree at the Department of Microprocessor Automation Means of Perm National Research Polytechnic University; specializes in the field of software and hardware solutions for automation and control of power facilities. [e-mail: evgeni29397@yandex.ru]E. Ershov

Automation of Creating and Testing the Software for a Multiphase Pump Units Control Station 51_4.pdf

The article deals with problems of a multi-purpose stand for creating and debugging the software used to control multiphase screw pumps at oil and gas production facilities. A development concept is focused on total customization, on the reduction of costs related to designing and manufacturing the controls for pumping units having an advanced functionality in comparison with analogues as well as on the equipment reliability improvement. A stand architecture is proposed, hardware oriented to import substitution is selected, visual design of the operator control panel is created, which provides remote control of the pumping unit operation. An algorithm for control and protection of an electric motor drive of a multiphase screw pump is developed, stand operations testing is performed. An algorithm for equipment control in the mode of imitation of signals from sensors that monitor its key parameters with archiving and analyzing data received is validated. The use of stand will allow us to develop and test the software quickly when creating our own multiphase pump control stations as well as to train technical personnel.

Multiphase screw pumps, test automation, control, electric motor drive, software.

2018_ 1

Sections: Information systems

Subjects: Information systems.


Maksim Viktorovich Abramov, St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, graduated from the Faculty of Mathematics and Mechanics of St. Petersburg State University; a junior researcher at the Laboratory for Theoretical and Interdisciplinary Problems of Informatics at St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, Senior Lecturer of the Department of Informatics of St. Petersburg State University; an author of monographs, textbooks, articles in the field of information security and social engineering attacks; a holder of certificates of registration of computer programs. [e-mail: mva16@list.ru]M. Abramov

Automation of the Social Networks Websites Content Analysis in the Problems of Forecasting the Protection of the Information Systems Users From Social Engineering Attacks 51_5.pdf

This article deals with a software application concept of an automated system for analyzing the protection of online users from social engineering attacks. The architecture of software application prototype is presented. Approaches to algorithm development for the modules responsible for the social engineering attack spread simulation on the social graph of employees and the restoration of the user meta profile on the basis of content published in social networks are proposed. An approach to the building and analyzing of the social graph of employees is presented. The existing methods are evaluated with a critical eye. The algorithm for placing the coefficients on the arcs of the social graph used when calculating success probability of an indirect social engineering attack is presented.

Information security, social engineering attacks, user protection, social graph of company employees, user meta profile, user’s vulnerabilities profile.

2018_ 1

Sections: Information systems

Subjects: Information systems.


Evgenii Valerevich Zotov, lyanovsk Instrument Manufacturing Design Bureau, JSC, graduated from Ulyanovsk State Technical University; Head of Thematic Integrated Team at Ulyanovsk Instrument Manufacturing Design Bureau, JSC; an author of articles in the field of aviation. [e-mail: zzz80@inbox.ru]E. Zotov,

Ilia Aleksandrovich Pechatkin, Ulyanovsk Instrument Manufacturing Design Bureau, JSC, graduated from Ulyanovsk State University; Head of Research Unit of Ulyanovsk Instrument Manufacturing Design Bureau, JSC; an author of articles in the field of aviation. [e-mail: ilyapech@yandex.ru]I. Pechatkin

Avionics Software Design 51_6.pdf

The article describes avionics software life cycle processes. Software design and encoding processes are examined. An approach to design and encoding is described, which allows to improve the software functionality without fundamental changes of software architecture causing often raise a lot of errors resulting in a lengthy process of software retesting and debugging when new requirements emerge. It is shown that the application of the approach proposed reduces labor costs related to the processes of developing the software requirements, designing and creating source code as well as traceability. Based on the findings, conclusions about advantages of the application of the proposed approach within the framework of developing software for airborne equipment and systems are drawn up.

Design, encoding, traceability.

2018_ 1

Sections: Information systems

Subjects: Information systems.


Viacheslav Viktorovich Epifanov, Ulyanovsk State Technical University, Doctor of Engineering; graduated from the Faculty of Machine-Building of Ulyanovsk Polytechnic Institute; Professor at the Department of Motorcars of Ulyanovsk State Technical University; an author of monographs, articles, and inventions in the field of process planning automation. [e-mail: v.epifanov73@mail.ru]V. Epifanov,

Aleksandr Nikolaevich Afanasev, Ulyanovsk State Technical University, Doctor of Engineering, Professor; graduated from the Faculty of Radioengineering at Ulyanovsk Polytechnic Institute; First Vice-Rector for Distance and Extended Education at Ulyanovsk State Technical University; an author of more than 200 articles in the field of CAD, interested in automated training systems, computational process and computer structure organization, intelligent system design, CAD, composite workflow control, graphic language diagrammatics. [e-mail: a.afanasev@ulstu.ru]A. Afanasev

The Automated System of Coding and Classification of Production Objects 000_7.pdf

Increasing efficiency of design and technological training in conditions of multi-nomenclature serial production can be ensured by coding and classification of parts. Therefore, the paper provides theoretical substantiation of classification characteristics of parts and their grouping. A method for coding details is proposed, in accordance with which details are assigned an impersonal code of its design characteristics according to the United Design Documentation System (SUDD) classifier. Technological characteristics of the parts are coded in true values from the drawing. In practice, the technique was implemented when creating a regional data bank about details that contains information on 150 thousand items. The article shows the functional-structural scheme of the automated system for coding and classification (ASCC) of parts, consisting of four subsystems: coding of parts, generalization of parts characteristics, selection of design solutions, output of technical documentation. At industrial enterprises, ASCC allows to significantly increase the labor productivity of designers and technologists in the preparation of production and the quality of the design decisions they make.

Part, coding, classification, automation, system.

2017_ 3

Sections: Information systems

Subjects: Information systems, Computer-aided engineering.


Mikhail Sergeevich Ermakov, Ulyanovsk State University; Engineer at Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Physics and Mathematics; graduated from the Faculty of Physics and High Technology Engineering of Ulyanovsk State University; Engineer at Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’; specializes in the field of building and developing automated measuring systems; an author of articles and papers in the field of semiconductor devices analysis. [e-mail: ermakov@pisem.net]M. Ermakov

Development of the Algorithm for Defining Wind Parameters Ultrasonically 000_8.pdf

This paper considers the option of constructing an ultrasonic sensor of wind speed and direction with changing the operating time of sound passage in the atmosphere, depending on the speed and direction of motion of the medium. The variant of placing ultrasonic emitters and receivers allowing to exclude affect of temperature, humidity and atmospheric pressure at the speed of sound is proposed. The paper describes the algorithm which allows to find the wind speed and direction from the data on sound propagation time. The algorithm also allows to determine the wind speed and direction with the same accuracy regardless of the direction of air flow. The sensor described in the article has not any moving parts which improves its reliability and excludes the influence of atmospheric parameters on the speed of sound, that makes it possible to use such device in a variety of climatic conditions and obtain wind speed and direction with the same accuracy.

Ultrasound, wind sensor, wind speed, wind direction.

2017_ 3

Sections: Information systems

Subjects: Information systems.


Valeriia Vadimovna Voronina, Ulyanovsk State Technical University, Candidate of Engineering; graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; Associate Professor at the Department of Information Systems of Ulyanovsk State Technical University; an author of articles in the field of intellectual analysis of time series. [e-mail: vvsh85@mail.ru]V. Voronina,

Sergei Orestovich Smerechinskii, “AIS Gorod” Company, Magister; finished his Master’s studies at the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; Software Engineer at “AIS Gorod” Company; an author of articles in the field of software development. [e-mail: quigon173@gmail.com]S. Smerechinskii

The System for Modelling the Cluster Simulating Processes of Big Data Analysis 000_9.pdf

The subject area for processing Big Data with the use of cluster systems is described in the article. The paper examines the existing methods of processing Big Data on which the proposed solution for increasing the efficiency of the cluster functioning is based. As basic solutions for building and proposing ways to increase the efficiency of the cluster, the Hadoop technology and the MapReduce methodology were chosen. The efficiency of cluster systems involves consideration of cluster processes in the form of the hierarchical architecture consisting of three levels: cluster node level, cluster segment level and cluster topology level. The paper indicates solutions that can be useful in order to improve the efficiency of cluster resource allocation by choosing the topology of cluster construction, using the more efficient load-balancing algorithm, and using graphics processors, which involves distributing computational loads between CPU and GPU. Recommendations proposed in the article are verified experimentally.

Big data, cpu, gpu, mapreduce, big data, cluster, balancing algorithm, topology, cpu, gpu, mapreduce.

2017_ 3

Sections: Information systems

Subjects: Information systems, Automated control systems.


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