Model of Error Correction Device in RNS-FRNN
The spread of cloud technologies has made it possible to increase the efficiency and flexibility of computer networks, as well as information storage. However, the decentralized structure and the large geographical distance of data processing centers imposes an additional burden on the infrastructur...
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ir-20.500.12258-252532023-09-08T09:55:24Z Model of Error Correction Device in RNS-FRNN Shiriaev, E. M. Ширяев, Е. М. Kuchukov, V. A. Кучуков, В. А. Base expansion Syndrome method Cloud technologies Finite ring neural network Residue number system (RNS) The spread of cloud technologies has made it possible to increase the efficiency and flexibility of computer networks, as well as information storage. However, the decentralized structure and the large geographical distance of data processing centers imposes an additional burden on the infrastructure of such technologies. Both in big data streams and in the processing of information on nodes, an error often occurs, which reduces the reliability of the structure. In this work, we have developed a model of an error correction device in the residue number system using finite ring neural networks. The result of this work is to increase the efficiency of error handling, which in turn increases the reliability of the system. 2023-09-08T09:54:07Z 2023-09-08T09:54:07Z 2023 Статья Shiriaev, E., Kuchukov, V. Model of Error Correction Device in RNS-FRNN // Lecture Notes in Networks and Systems. - 2023. - 702 LNNS, pp. 312-320. - DOI: 10.1007/978-3-031-34127-4_30 http://hdl.handle.net/20.500.12258/25253 en Lecture Notes in Networks and Systems application/pdf |
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Base expansion Syndrome method Cloud technologies Finite ring neural network Residue number system (RNS) |
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Base expansion Syndrome method Cloud technologies Finite ring neural network Residue number system (RNS) Shiriaev, E. M. Ширяев, Е. М. Kuchukov, V. A. Кучуков, В. А. Model of Error Correction Device in RNS-FRNN |
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The spread of cloud technologies has made it possible to increase the efficiency and flexibility of computer networks, as well as information storage. However, the decentralized structure and the large geographical distance of data processing centers imposes an additional burden on the infrastructure of such technologies. Both in big data streams and in the processing of information on nodes, an error often occurs, which reduces the reliability of the structure. In this work, we have developed a model of an error correction device in the residue number system using finite ring neural networks. The result of this work is to increase the efficiency of error handling, which in turn increases the reliability of the system. |
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Статья |
author |
Shiriaev, E. M. Ширяев, Е. М. Kuchukov, V. A. Кучуков, В. А. |
author_facet |
Shiriaev, E. M. Ширяев, Е. М. Kuchukov, V. A. Кучуков, В. А. |
author_sort |
Shiriaev, E. M. |
title |
Model of Error Correction Device in RNS-FRNN |
title_short |
Model of Error Correction Device in RNS-FRNN |
title_full |
Model of Error Correction Device in RNS-FRNN |
title_fullStr |
Model of Error Correction Device in RNS-FRNN |
title_full_unstemmed |
Model of Error Correction Device in RNS-FRNN |
title_sort |
model of error correction device in rns-frnn |
publishDate |
2023 |
url |
https://dspace.ncfu.ru/handle/20.500.12258/25253 |
work_keys_str_mv |
AT shiriaevem modeloferrorcorrectiondeviceinrnsfrnn AT širâevem modeloferrorcorrectiondeviceinrnsfrnn AT kuchukovva modeloferrorcorrectiondeviceinrnsfrnn AT kučukovva modeloferrorcorrectiondeviceinrnsfrnn |
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