Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Viktor Andreevich Kuchukov"'
Autor:
Mikhail Grigorievitch Babenko, Andrei Tchernykh, Nikolay Ivanovitch Chervyakov, Viktor Andreevich Kuchukov, Vanessa Miranda-Lopes, Raúl Rivera Rodriguez, Zhihui Du
Publikováno v:
Труды Института системного программирования РАН, Vol 31, Iss 2, Pp 187-201 (2019)
An important operation for data processing is a number comparison. In Residue Number System (RNS), it consists of two steps: the computation of the positional characteristic of the number in RNS representation and comparison of its positional charact
Externí odkaz:
https://doaj.org/article/a0cffe16b41c413a8b68efc8805e655a
Publikováno v:
Труды Института системного программирования РАН, Vol 31, Iss 2, Pp 41-52 (2019)
The article deals with the search for the global extremum in the training of artificial neural networks using the correlation index. The proposed method is based on a mathematical model of an artificial neural network, represented as an information t
Externí odkaz:
https://doaj.org/article/7d5f19625ea543a2ae7ddcdc7d62c428
Autor:
Andrei Vladimirovich Gladkov, Viktor Andreevich Kuchukov, Mikhail Grigoryevich Babenko, Andrei Nikolaevitch Tchernykh, Victor Vasilyevich Berezhnoy, Alexander Yulievich Drozdov
Publikováno v:
Programming and Computer Software. 48:598-605
This article presents the design of the modified error detection and localization algorithm in the Residue Number System (RNS). Classical redundant RNS with one control modulus can detect one error but not localize it. Two control moduli are used to
Autor:
Viktor Andreevich Kuchukov, Nataliya Nikolaevna Kuchukova, Maxim A. Babenko, Nikolay A. Vershkov
Publikováno v:
Programming and Computer Software. 46:609-618
The article discusses the search for a global extremum in the training of artificial neural networks using a correlation indicator. A method based on a mathematical model of an artificial neural network presented as an information transmission system
Autor:
Mikhail Babenko, Viktor Andreevich Kuchukov, Raul Rivera-Rodriguez, Andrei Tchernykh, Zhihui Du, El-Ghazali Talbi, Nikolay I. Chervyakov, Vanessa Miranda-Lopez
Publikováno v:
Programming and Computer Software. 45:532-543
Modern algorithms for symmetric and asymmetric encryptions are not suitable to provide security of data that needs data processing. They cannot perform calculations over encrypted data without first decrypting it when risks are high. Residue Number S
Publikováno v:
2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).
Information management in many areas, such as smart city, smart manufacturing is closely related to the concept of cloud-fog-edge computing. Video surveillance systems in the concept of a smart city can contain thousands of cameras, and the use of a
Autor:
Ekaterina A. Kuchukova, Irina Vashchenko, Julia Talalaeva, Anton Nazarov, Viktor Andreevich Kuchukov
Publikováno v:
2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).
In a new smart store, profit depends on the quality of the goods displayed on the shelf. If there is a product, but it is not laid out on shelves, the store suffers losses. In the paper, a control system is being developed for the timely display of g
Autor:
Nataliya Nikolaevna Kuchukova, Nikolay A. Vershkov, Viktor Andreevich Kuchukov, Mikhail Babenko
Publikováno v:
2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).
The article deals with the modeling of artificial neural networks as a system of information transmission. The analysis of the existing theoretical approaches to the optimization of the structure and training of neural networks is carried out. The pr
Autor:
Arutyun Avetisyan, Maxim Deryabin, Viktor Andreevich Kuchukov, Nikolay Nikolaevich Kucherov, Andrei Tchernykh, Vanessa Miranda-Lopez, Gleb Radchenko, Nikolay I. Chervyakov, Jorge M. Cortés-Mendoza, Mikhail Babenko
Publikováno v:
International Journal of Approximate Reasoning. 102:60-73
Cloud security issues are important factors for data storage and processing. Apart from the existing security and reliability problems of traditional distributed computing, there are new security and reliability problems. They include attacks on a vi
Publikováno v:
2019 Ivannikov Ispras Open Conference (ISPRAS).
The article considers the application of the Residue Number System (RNS) for matrix calculations. This can be useful to improve the performance and reliability of calculations in digital signal processing and artificial neural networks. We have revie