Computer technologies for information support of automated systems

Mikhail A. Prokhorov, Dmitriy S. Tobin

Abstract


The article shows the relationship between the quality of information support and the efficiency of functioning of automated systems, and identifies the main directions for focusing the efforts of developers when creating and modernizing computer technologies for collecting and processing information. Conclusions from a system analysis of the state of information support for automated systems are presented, and the features of the methodological approach to its synthesis are shown. The tendency to increase the role of a new component of the machine information base - an information resource - for the effective use of automated systems is characterized. A promising direction of activity to improve the efficiency of automated systems has been identified.

Keywords


automated system; computer technology; information support; information base; information resource

Full Text:

PDF

References


Tsvetkov A.Yu., Samsonov F.A., Galankin A.V., Prokhorov M.A. Development of a Method for Increasing the Efficiency of Information Flow Management in Networks of Automated Systems for Special Purposes Using a Simulation Model. Modern Science-Intensive Technologies, 2019, no. 10-2, pp. 313-318.

Prudnikov S.I., Bogomolov A.V., Terebov D.S. Directions for Improving Decision Support in Military Command and Control Bodies. Mathematical Methods in Technologies and Engineering, 2022, no. 6. pp. 16-19. DOI: 10.52348/2 712-8873_MMTT_2022_6_16

Mosin D.A., Prokhorov M.A., Kvasov M.N., Mitryaev G.A., Zlobin R.S. Methodology for Assessing the Quality of Information Resources of Specialized Information Support Systems for Scientific Research. News of the Tula State University. Technical Science, 2023, no. 9, pp. 283-286. DOI: 10.24412/2071-6168-2023-9-283-284

Vaskov S.A., Volkov V.F., Galankin A.V., Tikhonov S.A., Tsybrin V.G., Shanygin S.I. Automated Troop Control Systems. Part 1: Mathematical Support for the Functioning of Automated Control Systems. Moscow, Military Space Academy named after A.F. Mozhaisky, 2010. 392 p.

Golosovsky M.S. Model for Calculating Estimates of Labor Intensity and Development Time of Information Systems at the Initial Stage of the Project Life Cycle. Software Engineering, 2016, vol. 7, no. 10, pp. 446-455. DOI: 10.17587/prin.7.446-455

Goncharov A.M., Chashchin S.V., Prokhorov M.A. An Approach to Solving the Problem of Assessing the Sustainable Functioning of an Information System Using the Example of a Data Processing Center. T-Comm: Telecommunications and Transport, 2017, vol. 11, no. 4, pp. 20-25.

Golosovsky M.S. Model of the Software Development Life Cycle Within the Framework of Research Work. Automation and modern technologies, 2014, no. 1, pp. 43-46.

Sultanova S.Sh., Mutallieva K.I. Information Base and Methods of Its Organization. Academy, 2016, no.9-2, pp. 6-7.

Tokmakov G.P. Information and Linguistic Support of Local and Distributed Automated Systems. Ulyanovsk, Ulyanovsk State Technical University, 2016. 331 p.

Ivashchenko A.V. Fundamentals of Methodologies for Designing Automated Information Processing and Control Systems. Samara, SNTs RAS, 2009. 40 p.

Larkin E.V., Bogomolov A.V., Privalov A.N., Dobrovolsky N.N. Relay Races Along a Pair of Selectable Routes. Bulletin of the South Ural State University. Series: Mathematical Modelling, Programming and Computer Software, 2018, vol. 11, no. 1, pp. 15-26. DOI: 10.14529/mmp180102

Galankin A.V., Voitsekhovsky S.V., Prokhorov M.A. Development of an Information and Reference System in the Interests of Developing Special-Purpose Information Systems. News of the Tula State University. Technical science, 2018, no. 1, pp. 327-335.

Slavin O.A., Janiszewski I.M. Effective Practices of Using Spatial Models in Document Image Classification. Bulletin of the South Ural State University. Series: Mathematical Modelling, Programming and Computer Software, 2023, vol. 16, no. 4, pp. 61-70. DOI: 10.14529/mmp230404

Arlazarov V.L., Slavin O.A. Issues of Recognition and Verification of Text Documents. Information technologies and computing systems, 2023, no. 3, pp. 55-61. DOI: 10.14357/20718632230306

Tobin D., Bogomolov A., Golosovskiy M. Model of Organization of Software Testing for Cyber-Physical Systems. Studies in Systems, Decision and Control, 2022, vol. 418, pp. 51-60. DOI: 10.1007/978-3-030-95120-7_5

Larkin E.V., Bogomolov A.V., Privalov A.N., Dobrovolsky N.N. Discrete Model of Paired Relay-Race. Bulletin of the South Ural State University. Series: Mathematical Modelling, Programming and Computer Software, 2018, vol. 11, no. 3, pp. 72-84. DOI: 10.14529/mmp180306

Bogomolov A.V., Klimov R.S. Automation of Information Processing During Collective Network Examinations. Automation. Modern technologies, 2017, vol. 71, no. 11, pp. 509-512.

Golosovskiy M.S., Bogomolov A.V., Tobin D.S. Algorithm for Setting Fuzzy Logical Inclusion Systems Based on Statistical Data. Automatic Documentation and Mathematical Linguistics, 2023, vol. 57, no. 1, pp. 1-9. DOI: 10.3103/s0005105523010028

Tobin D.S., Golosovsky M.S., Bogomolov A.V. Technology for Ensuring the Reliability of Information when Conducting Network Examinations. Modern information technologies and IT education, 2020, vol. 16, no. 3, pp. 623-632. DOI: 10.25559/SITITO.16.202003.623-632


Refbacks

  • There are currently no refbacks.


 Save