Model of Error Correction Device in RNS-FRNN

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...

Tallennettuna:

Bibliografiset tiedot
Päätekijät:	Shiriaev, E. M., Ширяев, Е. М., Kuchukov, V. A., Кучуков, В. А.
Aineistotyyppi:	Статья
Kieli:	English
Julkaistu:	2023
Aiheet:	Base expansion Syndrome method Cloud technologies Finite ring neural network Residue number system (RNS)
Linkit:	https://dspace.ncfu.ru/handle/20.500.12258/25253
Tagit:	Lisää tagi Ei tageja, Lisää ensimmäinen tagi!

Samankaltaisia teoksia

Performance impact of error correction codes in rns with returning methods and base extension
Tekijä: Shiriaev, E. M., et al.
Julkaistu: (2022)

Modification of the Projection Method to Correct Errors in RNS
Tekijä: Shiriaev, E. M., et al.
Julkaistu: (2023)

Cryptographic primitives optimization based on the concepts of the residue number system and finite ring neural network
Tekijä: Babenko, M. G., et al.
Julkaistu: (2021)

Analytical review of methods for detection, localization and error correction in the Residue Number System
Tekijä: Gladkov, A. V., et al.
Julkaistu: (2022)

The EC sequences on points of an elliptic curve realization using neural networks
Tekijä: Chervyakov, N. I., et al.
Julkaistu: (2018)

The architecture of a fault-tolerant modular neurocomputer based on modular number projections
Tekijä: Chervyakov, N. I., et al.
Julkaistu: (2018)

Adaptive finite ring neural network
Tekijä: Evdokimov, A. A., et al.
Julkaistu: (2019)

Efficient implementation of modular multiplication by constants applied to RNS reverse converters
Tekijä: Chervyakov, N. I., et al.
Julkaistu: (2018)

RRNS base extension error-correcting code for performance optimization of scalable reliable distributed cloud data storage
Tekijä: Babenko, M. G., et al.
Julkaistu: (2021)

Analysis of secured distributed cloud data storage based on multilevel RNS
Tekijä: Babenko, M. G., et al.
Julkaistu: (2018)

An efficient method of error correction in fault-tolerant modular neurocomputers
Tekijä: Chervyakov, N. I., et al.
Julkaistu: (2018)

RNS-based image processing
Tekijä: Chervyakov, N. I., et al.
Julkaistu: (2018)

RNS-based image processing
Tekijä: Chervyakov, N. I., et al.
Julkaistu: (2018)

Error correction of digital signal processing devices using non-positional modular codes
Tekijä: Kalmykov, I. A., et al.
Julkaistu: (2018)

Analysis of residue number system corrective properties for designing reliable cloud storage
Tekijä: Berezhnoy, V. V., et al.
Julkaistu: (2021)

Study of a Redundant Residue Number System for Single Error Correction
Tekijä: Kuchukov, V. A., et al.
Julkaistu: (2024)

Experimental analysis of secret sharing schemes for cloud storage based on rns
Tekijä: Babenko, M. G., et al.
Julkaistu: (2018)

Error correction method in modular redundant codes
Tekijä: Berezhnoy, V. V., et al.
Julkaistu: (2022)

Error‐correction coding using polynomial residue number system
Tekijä: Kalmykov, I. A., et al.
Julkaistu: (2022)

Analytical Review of Confidential Artificial Intelligence: Methods and Algorithms for Deployment in Cloud Computing
Tekijä: Shiriaev, E. M., et al.
Julkaistu: (2024)

The effective neural network implementation of the secret sharing scheme with the use of matrix projections on FPGA
Tekijä: Chervyakov, N. I., et al.
Julkaistu: (2018)

Effect of RNS moduli set selection on digital filter performance for satellite communications
Tekijä: Chervyakov, N. I., et al.
Julkaistu: (2018)

Cloud-fog-edge computing model for video surveillance based on modular arithmetic
Tekijä: Kuchukov, V. A., et al.
Julkaistu: (2020)

Development of a secure system for distributed data storage and processing in the clouds based on the concept of active security in RNS
Tekijä: Chervyakov, N. I., et al.
Julkaistu: (2018)

Modified Error Detection and Localization in the Residue Number System
Tekijä: Gladkov, A. V., et al.
Julkaistu: (2023)

Data reliability and redundancy optimization of a secure multi-cloud storage under uncertainty of errors and falsifications
Tekijä: Babenko, M. G., et al.
Julkaistu: (2019)

AC-RRNS: anti-collusion secured data sharing scheme for cloud storage
Tekijä: Babenko, M. G., et al.
Julkaistu: (2018)

AC-RRNS: Anti-collusion secured data sharing scheme for cloud storage
Tekijä: Babenko, M. G., et al.
Julkaistu: (2018)

Method for Convolutional Neural Network Hardware Implementation Based on a Residue Number System
Tekijä: Valueva, M. V., et al.
Julkaistu: (2023)

LR-GD-RNS: Enhanced privacy-preserving logistic regression algorithms for secure deployment in untrusted environments
Tekijä: Babenko, M. G., et al.
Julkaistu: (2021)

The Development of probabilistic algorithm of monitoring a result correctness for cloud computing in residue number system
Tekijä: Chervyakov, N. I., et al.
Julkaistu: (2018)

Survey software implementations of homomorphic encryption methods
Tekijä: Golimblevskaia, E. I., et al.
Julkaistu: (2021)

Multiple error correction in redundant residue number systems: a modified modular projection method with maximum likelihood decoding
Tekijä: Babenko, M. G., et al.
Julkaistu: (2022)

Data Storage with Increased Survivability and Reliability Based on the Residue Number System (2024) Advances in Systems Science and Applications, 24 (2), pp. 166-186.
Tekijä: Kucherov, N. N., et al.
Julkaistu: (2024)

Development of prognostic neural network models based on non-positional coding for automatic control systems
Tekijä: Tikhonov, E. E., et al.
Julkaistu: (2019)

WA-RRNS: reliable data storage system based on multi-cloud
Tekijä: Babenko, M. G., et al.
Julkaistu: (2018)

Weighted two-levels secret sharing scheme for multi-clouds data storage with increased reliability
Tekijä: Babenko, M. G., et al.
Julkaistu: (2020)

Design reverse converter for balanced RNS with three low-cost modules
Tekijä: Lyakhov, P. A., et al.
Julkaistu: (2021)

On RNS with VLSI-friendly diagonal function
Tekijä: Chervyakov, N. I., et al.
Julkaistu: (2018)

Cloud-Based Service for Recognizing Pigmented Skin Lesions Using a Multimodal Neural Network System
Tekijä: Lyakhova, U. A., et al.
Julkaistu: (2023)