AR-RRNS: Configurable reliable distributed data storage systems for Internet of Things to ensure security

N Chervyakov, M Babenko, A Tchernykh… - Future Generation …, 2019 - Elsevier
Abstract Benefits of Internet of Things and cloud–fog-edge computing are associated with
the risks of confidentiality, integrity, and availability related with the loss of information …

Residue-to-binary conversion for general moduli sets based on approximate Chinese remainder theorem

NI Chervyakov, AS Molahosseini… - … journal of computer …, 2017 - Taylor & Francis
The residue number system (RNS) is an unconventional number system which can lead to
parallel and fault-tolerant arithmetic operations. However, the complexity of residue-to …

Development of algorithm for control and correction of errors of digital signals, represented in system of residual classes

DI Popov, AV Gapochkin - 2018 International Russian …, 2018 - ieeexplore.ieee.org
The use of parallel computing in the field of digital signal processing (DSP) is associated
with the continuous growth of performance requirements of computing facilities [1]-[3]. But at …

RNS number comparator based on a modified diagonal function

M Babenko, M Deryabin, SJ Piestrak, P Patronik… - Electronics, 2020 - mdpi.com
Number comparison has long been recognized as one of the most fundamental non-
modular arithmetic operations to be executed in a non-positional Residue Number System …

Technique to adjust adaptive digital filter coefficients in residue number system based filters

D Kaplun, A Voznesensky, AV Veligosha… - IEEE …, 2021 - ieeexplore.ieee.org
The paper discusses adaptive filtering using Least Mean Square (LMS) and Recursive Least
Square (RLS) algorithms. An algorithm for adjusting the coefficients of an adaptive digital …

Classification of moduli sets for residue number system with special diagonal functions

P Boyvalenkov, NI Chervyakov, P Lyakhov… - IEEE …, 2020 - ieeexplore.ieee.org
The paper presents algorithms for the generation of Residue Number System (RNS) triples
with and quadruples with for some k. Triples and quadruples allow us to design efficient …

An efficient method of error correction in fault-tolerant modular neurocomputers

NI Chervyakov, PA Lyakhov, MG Babenko… - Neurocomputing, 2016 - Elsevier
In this paper, we propose the architecture of a fault-tolerant unit in a modular neurocomputer
that is based on decoding with computation of errors syndromes on redundant moduli and …

Construction of residue number system using hardware efficient diagonal function

M Valueva, G Valuev, N Semyonova, P Lyakhov… - Electronics, 2019 - mdpi.com
The residue number system (RNS) is a non-positional number system that allows one to
perform addition and multiplication operations fast and in parallel. However, because the …

Performance impact of error correction codes in RNS with returning methods and base extension

E Shiryaev, E Bezuglova, M Babenko… - 2021 International …, 2021 - ieeexplore.ieee.org
In this paper, we study techniques of correction codes for systems based on the Residue
Number System (RNS). Self-correcting and error detection are important properties of RNS …

The effective neural network implementation of the secret sharing scheme with the use of matrix projections on FPGA

NI Chervyakov, MG Babenko, NN Kucherov… - Advances in Swarm and …, 2015 - Springer
In this paper neural network implementation of the modified secret sharing scheme based
on a matrix projection is offered. Transition from a finite simple Galois field to a complex field …