Development of prognostic neural network models based on non-positional coding for automatic control systems
EE Tikhonov, AI Sosin - 2018 International Multi-Conference on …, 2018 - ieeexplore.ieee.org
The article is devoted to the discussion of the problems of development of predictive neural
network models based on the residual number system and the use of modular arithmetic to …
network models based on the residual number system and the use of modular arithmetic to …
An efficient method for comparing numbers and determining the sign of a number in RNS for even ranges
Fully Homomorphic Encryption (FHE) permits processing information in the form of
ciphertexts without decryption. It can ensure the security of information in common …
ciphertexts without decryption. It can ensure the security of information in common …
[PDF][PDF] High performance parallel computing in residue number system
Residue Number System (RNS) allows performing computation more efficiently. Natural
parallelism of representation and processing of numbers makes this number system suitable …
parallelism of representation and processing of numbers makes this number system suitable …
About One Property of Number Rank in RNS
M Babenko, E Golimblevskaia - 2021 IEEE Conference of …, 2021 - ieeexplore.ieee.org
An approximate value of the number rank is used to increase the speed of homomorphic
encryption algorithms. The use of an approximate rank of a number allows reducing the …
encryption algorithms. The use of an approximate rank of a number allows reducing the …
[PDF][PDF] Development of a control system for computations in BOINC with homomorphic encryption in residue number system
In this paper, we propose approaches to constructing reliable schemes using the Residue
Number System (RNS) for the BOINC volunteer computing systems. We show that …
Number System (RNS) for the BOINC volunteer computing systems. We show that …
in the Residue Number System
V Lutsenko¹, M Zgonnikov - AISMA-2024: International Workshop …, 2024 - books.google.com
This paper examines the practical implementation of the Montgomery algorithm in
asymmetric cryptosystems using the Residue Number System. Residue Number System …
asymmetric cryptosystems using the Residue Number System. Residue Number System …
Investigation of Neural Network Methods for Error Detection and Correction in the Residue Number System
V Lutsenko, M Zgonnikov - International Workshop on Advanced …, 2024 - Springer
This paper examines the practical implementation of the Montgomery algorithm in
asymmetric cryptosystems using the Residue Number System. Residue Number System …
asymmetric cryptosystems using the Residue Number System. Residue Number System …
ОБ ОДНОМ ПОДХОДЕ К РАЗРАБОТКЕ ПРОГНОСТИЧЕСКИХ НЕЙРОСЕТЕВЫХ РЕГУЛЯТОРОВ НА БАЗЕ СОК ДЛЯ АВТОМАТИЗИРОВАННЫХ СИТЕМ …
ЭЕ Тихонов, ЯВ Ворохобина, КА Чебанов - КАВКАЗСКИЙ ДИАЛОГ, 2019 - elibrary.ru
Статья посвящена обсуждению проблематики разработки прогностических
нейросетевых моделей на базе системы остаточных классов и применению …
нейросетевых моделей на базе системы остаточных классов и применению …
Аппаратная реализация алгоритмов преобразования из двоичной системы счисления в систему остаточных классов
НИ Червяков, СЧ Альгальда - Наука. Инновации. Технологии, 2016 - scienceit.elpub.ru
Аннотация Система остаточных классов (СОК) и модулярная арифметика
используются по нескольким причинам: они имеют широкое применение в цифровой …
используются по нескольким причинам: они имеют широкое применение в цифровой …
Experimental analysis of large prime numbers generation in residue number system
NI Chervyakov, MG Babenko… - 2017 International …, 2017 - ieeexplore.ieee.org
The paper specifies the value of evaluation of accuracy necessary for correct operation of
number conversion algorithm from residue number system in weighted number system with …
number conversion algorithm from residue number system in weighted number system with …