High-Speed Parity Number Detection Algorithm in RNS Based on Akushsky Core Function

High-Speed Parity Number Detection Algorithm in RNS Based on Akushsky Core Function

The Residue Number System is widely used in cryptography, digital signal processing, image processing systems and other areas where high-performance computation is required. One of the computationally expensive operations in the Residue Number System is the parity detection of a number. This paper p...

Shranjeno v:

Bibliografske podrobnosti
Главные авторы:	Lutsenko, V. V., Луценко, В. В., Geryugova, A. E., Герюгова, А. Э., Babenko, M. G., Бабенко, М. Г., Lapina, M. A., Лапина, М. А.
Format:	Статья
Jezik:	English
Izdano:	Springer Science and Business Media Deutschland GmbH 2025
Teme:	Akushsky core function Residue number system (RNS) High performance computing Non-modular operations Parity detection
Online dostop:	https://dspace.ncfu.ru/handle/123456789/29591
Oznake:	Označite Brez oznak, prvi označite!

Podobne knjige/članki

Construction of Akushsky Core Functions Without Critical Cores
od: Lutsenko, V. V., и др.
Izdano: (2024)

An Efficient Implementation of the Montgomery Algorithm Using the Akushsky Core Function
od: Lutsenko, V. V., и др.
Izdano: (2024)

Investigation of Neural Network Methods for Error Detection and Correction in the Residue Number System
od: Lutsenko, V. V., и др.
Izdano: (2024)

Comparative Analysis and Development of Recommendations for the Use of Machine Learning Methods to Identify Network Traffic Anomalies in the Development of a Subsystem for User Behavioral Analysis
od: Govorova, S. V., и др.
Izdano: (2024)

Мир CorelDRAW!
od: Оссвальд М.

Enhancing Drone Detection via Transformer Neural Network and Positive–Negative Momentum Optimizers
od: Lyakhov, P. A., и др.
Izdano: (2025)

High-Speed Convolution Core Architecture for Privacy-Preserving Neural Networks
od: Lapina, M. A., и др.
Izdano: (2024)

Dynamic performance-Energy tradeoff consolidation with contention-aware resource provisioning in containerized clouds
od: Babenko, M. G., и др.
Izdano: (2022)

Improvement of the well cementing technology
od: Minchenko, Y. S., и др.
Izdano: (2023)

Tom Sawyer, Detective
od: Twain, M.

Detective Stories
od: Doyle, A. C.

Electrophilically activated nitroalkanes in the synthesis of 6,7-dihydro-1H-cyclopenta[g]perimidines
od: Aksenov, A. V., и др.
Izdano: (2018)

Speak thou and speed
od: Thomas W.
Izdano: (2013)

Machine Learning Research Methods for Identifying Inaccurate Content
od: Lapina, M. A., и др.
Izdano: (2025)

Research and Modification of Montgomery Multiplication Algorithm
od: Lapina, M. A., и др.
Izdano: (2024)

A Double Barrelled Detective Story
od: Twain, M.

Цифровые продукты. Product Owner учебник для вузов
od: Баланов А. Н.
Izdano: (2024)

HIGH SPEED RAILWAY TRANSPORT
od: Афанасьева Е. А.
Izdano: (2016)

Detection of Anomalous Activity in Wireless Communication Channels
od: Lapina, M. A., и др.
Izdano: (2024)

Cloud Removal in Satellite Images Using a Generative Adversarial Approach
od: Nikolaev, E. I., и др.
Izdano: (2025)

Mathematical Model of the OFDM System that Fends Off the Consequences of Failures Using Modular Codes
od: Kalmykov, I. A., и др.
Izdano: (2024)

The Scandal Detectives
od: Francis S. K.
Izdano: (2014)

The Detective Detector
od: Henry O.
Izdano: (2013)

The joy that has no stem no core
od: Emily E. D.
Izdano: (2013)

Modeling Self-similar Packet Flow Transformation to Deterministic Using Kulback-Leibler Divergence for Network Optimization
od: Linets, G. I., и др.
Izdano: (2024)

An Approximate Algorithm for Determining the Sign Function of a Number Using Neural Network Methods
od: Shiriaev, E. M., и др.
Izdano: (2024)

Nature-inspired optimization algorithms for cyber-physical systems
od: Lapina, M. A., и др.
Izdano: (2025)

Comparative Analysis of Error Correction Devices in Modular Redundant Codes
od: Berezhnoy, V. V., и др.
Izdano: (2024)

Tom Sawyer, Detective
od: Mark T.
Izdano: (2014)

Measuring the Efficiency of Public Employment Services in Russia: Which Regions Have Similarities?
od: Kunitsyna, N. N., и др.
Izdano: (2024)

Algorithmization of employers' requirements for IT-specialists in the field of energy, extraction of natural resources and ecology
od: Lapina, M. A., и др.
Izdano: (2023)

Only God — detect the Sorrow
od: Emily E. D.
Izdano: (2013)

ALGORITHMIC PROCEDURES OF IDENTIFYING ADVERTISEMENT TEXTS IN MASS MEDIA DISCOURSE
od: Kamensky, M. V., и др.
Izdano: (2025)

Analysis of an Existing Method for Detecting Adversarial Attacks on Deep Neural Networks
od: Lapina, M. A., и др.
Izdano: (2024)

OSSA Scheduler: Opposition-Based Learning Salp Swarm Algorithm for Task Scheduling in Cloud Computing
od: Lapina, M. A., и др.
Izdano: (2024)

Modeling of parallel data encryption algorithms
od: Kocherov, Y. N., и др.
Izdano: (2020)

Advancements in Sybil Attack Detection: A Comprehensive Survey of Machine Learning-Based Approaches in Wireless Sensor Networks
od: Lapina, M. A., и др.
Izdano: (2024)

Конфигурация и настройка CtrlX Core: Практикум
od: Клягин М. М.
Izdano: (2023)

A Double Barrelled Detective Story
od: Mark T.
Izdano: (2014)

Detection of attention state in children with autism spectrum disorder based on neural network classification of electroencephalograms
od: Lyakhov, P. A., и др.
Izdano: (2025)