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Neural networks based on the 1С:enterprise 8.3 platform in data analysis systems for self-driving cars

https://doi.org/10.32517/0234-0453-2021-36-3-50-55

Abstract

The development of self-driving cars in the modern world is accelerating every year, and it is obvious that the safe movement of such cars is impossible without special fault-tolerant software tools. With the improvement of technology, such software tools increasingly include elements of artificial intelligence. Currently, on the basis of flexible mechanisms of the 1C:Enterprise 8.3 platform, an application solution is being developed that allows to analyze the behavior of an self-driving car on a public road. Such software can be used in the educational activities of students in areas related to mathematical statistics, as well as to study mathematical methods that optimize the operation of the on-board computer of a driving self-driving car. Considering the growth of educational programs, which include the study of applied solutions and the development of such solutions on the 1C:Enterprise 8.3 platform, the use of the software in question in the educational process is available to students, useful and interesting for them. The presence of a large number of reports using the data layout system will allow to analyze the movement of self-driving cars in precisely those sections that are necessary for a student or researcher to conduct research activities. 

About the Authors

А. А. Prokurovsky
Moscow Technical University of Communications and Informatics
Russian Federation

Alexey A. Prokurovsky, master student at the Department of Mathematical Cybernetics and Information Technologies, Faculty of Information Technologies

111024, Russia, Moscow, ul. Aviamotornaya, 8a 



R. А. Gematudinov
Moscow Automobile and Road Construction State Technical University
Russian Federation

Rinat A. Gematudinov, Candidate of Sciences (Engineering), Associate Professor at the Department of Automation of Production Processes, Faculty of Road and Technological Machines

125319, Russia, Moscow, Leningradsky prospect, 64



References

1. Nigmatulin “Avadon” R. Bespilotnye avtomobili dlya nachinayushhikh [Self-driving cars for beginners]. (In Russian.) Available at: https://habr.com/ru/post/431758/

2. Lipson H., Kurman M. Driverless: Intelligent cars and the road ahead. Cambridge, MIT Press, 2016. 328 p.

3. NPP ITELMA. Istoriya bespilotnykh avtomobilej [NPP ITELMA. The history of self-driving cars]. (In Russian.) Available at: https://habr.com/ru/company/itelma/blog/505872/

4. Rojas R. Neural networks: A systematic introduction. Berlin, Springer, 1996. 502 p. DOI: 10.1007/978-3-642-61068-4

5. Deep learning, NLP, and representations. Available at: http://colah.github.io/posts/2014-07-NLP-RNNsRepresentations/

6. Gorodnichev M. G., Dzhabrailov Kh. A., Polyantseva K. A., Gematudinov R. A. On automated safety distance monitoring methods by stereo cameras. Systems of signals generating and processing in the field of on board communications. IEEE, 2020. DOI: 10.1109/IEEECONF48371.2020.9078616

7. Mikhailova E. A., Yashenkina V. A. Bespilotnyj avtomobil’nyj transport [Unmanned vehicle transport]. Molodoj uchenyj — Young Scientist, 2019, no. 8.2, p. 31–36. (In Russian.) Available at: https://moluch.ru/archive/246/56686/

8. Zomarev A. S., Rozhenko M. K. Kak bespilotnyj transport menyaet oblik nashikh gorodov? [Impact of selfdriving cars for urban development]. Foresight and STI Governance, 2020, vol. 14, no. 1, p. 70–84. (In Russian.) DOI: 10.17323/2500-2597.2020.1.70.84

9. Sbornik zadach dlya podgotovki k ehkzamenu “1C:Spetsialist” po platforme “1C:Predpriyatie 8” [Collection of tasks for preparing for the exam 1C:Specialist on the 1C:Enterprise 8 platform]. Moscow, 1C-Publishing, 2014. 185 p. (In Russian.)

10. Radchenko M. G., Khrustaleva E. Yu. 1C:Predpriyatie 8.3. Prakticheskoe posobie razrabotchika. Primery i tipovye priemy [1C:Enterprise 8.3. Practical developer’s guide. Examples and typical techniques]. Moscow, 1C-Publishing, 2013. 965 p. (In Russian.)

11. Radchenko M. G. 1С:Predpriyatie 8.2. Korotko o glavnom. Novye vozmozhnosti versii 8.2 [1C:Enterprise 8.2. Briefly about the main thing. New features in version 8.2]. Moscow, 1C-Publishing, 2009. 416 p. (In Russian.)

12. Gabets A. P., Kozyrev D. V., Kukhlevsky D. S., Khrustaleva E. Yu. Realizatsiya prikladnykh zadach v sisteme “1C:Predpriyatie 8.2” [Implementation of applied tasks in the 1C:Enterprise 8.2 system]. Moscow, 1C-Publishing, 2013. 714 p. (In Russian.)

13. Azheronok V. A., Gabets A. P., Goncharov D. I., Kozyrev D. V., Kukhlevsky D. S., Ostroverkh A. V., Radchenko M. G., Khrustaleva E. Yu. Professional’naya razrabotka v sisteme “1C:Predpriyatie 8” [Professional development in the 1C:Enterprise 8 system]. Moscow, 1C-Publishing, 2012. 704 p. (In Russian.)

14. Rybalka V. V. Hello, 1C. Primer bystroj razrabotki prilozhenij na platforme “1C:Predpriyatie 8.3”. Master-klass [Hello, 1C. An example of rapid application development on the 1C:Enterprise 8.3 platform. Master Class]. Moscow, 1CPublishing, 2014. 223 p. (In Russian.)

15. Radchenko M. G., Khrustaleva E. Yu. Аrkhitektura i rabota s dannymi “1C:Predpriyatiya 8.2” [Architecture and work with data 1C:Enterprise 8.2]. Moscow, 1C-Publishing, 2011. 268 p. (In Russian.)

16. Onufrienko O. V. Proektirovanie iskusstvennykh nejronnykh setej s pomoshh’yu platformy “1C” [Designing artificial neural networks using the 1C platform]. Ispol’zovanie programmnykh produktov 1C v uchebnykh zavedeniyakh [Use of 1C software products in educational institutions]. 2011. (In Russian.) Available at: https://1c.ru/rus/partners/training/ edu/theses/?y=2011&s=52&t=1337

17. Filippov O. Primenenie nejronnykh setej i geneticheskikh algoritmov v prikladnykh resheniyakh na platforme 1C [Application of neural networks and genetic algorithms in applied solutions on the 1C platform]. (In Russian.) Available at: https://infostart.ru/1c/articles/640325/

18. Khrustaleva E. Yu. Razrabotka slozhnykh otchetov v “1C:Predpriyatii 8.2”. Sistema komponovki dannykh [Development of complex reports in the 1C:Enterprise 8.2. Data composition system]. Moscow, 1C-Publishing, 2012. 458 p. (In Russian.)

19. Khrustaleva E. Yu. Yazyk zaprosov “1C:Predpriyatiya 8” [1C:Enterprise 8 query language]. Moscow, 1C-Publishing, 2013. 369 p. (In Russian.)

20. Khrustaleva E. Yu. Tekhnologii integratsii 1C:Predpriyatiya 8.3 [Integration technologies of 1C:Enterprise 8.3]. Moscow, 1C-Publishing, 2021. 503 p. (In Russian.)

21. 1C:Enterprise Development Tools. Rukovodstvo razrabotchika [1C:Enterprise Development Tools. Developer guide]. Moscow, 1C-Soft, 2021. (In Russian.) Available at: https://its.1c.ru/db/edtdoc


Review

For citations:


Prokurovsky А.А., Gematudinov R.А. Neural networks based on the 1С:enterprise 8.3 platform in data analysis systems for self-driving cars. Informatics and education. 2021;(3):50-55. (In Russ.) https://doi.org/10.32517/0234-0453-2021-36-3-50-55

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ISSN 0234-0453 (Print)
ISSN 2658-7769 (Online)