Results 1 to 10 of about 261,692 (263)

Algebraic Fault Analysis of SHA-256 Compression Function and Its Application

open access: yesInformation, 2021
Cryptographic hash functions play an essential role in various aspects of cryptography, such as message authentication codes, pseudorandom number generation, digital signatures, and so on.
Kazuki Nakamura   +2 more
doaj   +3 more sources

Function-on-Function Linear Regression by Signal Compression

open access: yesJournal of the American Statistical Association, 2017
We consider functional linear regression models with a functional response and multiple functional predictors, with the goal of finding the best finite dimensional approximation to the signal part of the response function. Defining the integrated squared correlation coefficient between a random variable and a random function, we propose to solve a ...
Xin Qi, Ruiyan Luo
exaly   +2 more sources

On Network Functional Compression [PDF]

open access: yesIEEE Transactions on Information Theory, 2014
In this paper, we consider different aspects of the network functional compression problem where computation of a function (or, some functions) of sources located at certain nodes in a network is desired at receiver(s). The rate region of this problem has been considered in the literature under certain restrictive assumptions, particularly in terms of ...
Soheil Feizi, Muriel Médard
openaire   +3 more sources

Construction and Analysis of SHA-256 Compression Function Based on Chaos S-Box

open access: yesIEEE Access, 2021
To further improve the security of SHA-256, a compression function construction scheme based on chaotic S-box is proposed. Through the reasonable design of the iteration mode and using the nonlinearity, confusion, and anti-difference of chaotic S-box ...
Juan Wang, Ge Liu, Yongqi Chen, Shu Wang
doaj   +1 more source

Activation Function and Compression Model for Lightweight Convolutional Network [PDF]

open access: yesJisuanji gongcheng, 2022
The abundance of computing and storage resources required in model training to relieve the parameter expansion of a deep convolution neural network, limiting a network's application on edge terminals.Based on the design idea of the depthwise separable ...
XU Zengmin, CHEN Kai, GUO Weiwei, ZHAO Ruwen, JIANG Zhansi
doaj   +1 more source

Electrophysiological, biomechanical, and finite element analysis study of sacral nerve injury caused by sacral fracture

open access: yesFrontiers in Bioengineering and Biotechnology, 2022
Background: We aimed to study the mechanism of sacral nerve injury caused by sacral fractures and the relationship between nerve decompression and nerve function.Methods: First, we observed the anatomical features of lumbosacral nerve root region in ...
Zisheng Xu   +11 more
doaj   +1 more source

Compressed Static Functions with Applications [PDF]

open access: yesProceedings of the Twenty-Fourth Annual ACM-SIAM Symposium on Discrete Algorithms, 2013
Given a set of integer keys from a bounded universe along with associated data, the dictionary problem asks to answer two queries: membership and retrieval. Membership has to tell whether a given element is in the dictionary or not; Retrieval has to return the data associated with the searched key.
Belazzougui Djamal, VENTURINI, ROSSANO
openaire   +4 more sources

Compressing Functional Tests for Microprocessors [PDF]

open access: yes14th Asian Test Symposium (ATS'05), 2005
In the past, test data volume reduction techniques have concentrated heavily on scan test data content. However, functional vectors continue to be utilized because they target unique defects and failure modes. Hence, functional vector compression can help alleviate the cost of functional test. Scan vector compression techniques are generally unsuitable
Kedarnath J. Balakrishnan   +2 more
openaire   +1 more source

Enhancing the secrecy of a cryptographic key generated using synchronized artificial neural networks1

open access: yesInformatika, 2020
The main options for the formation of a shared secret using synchronized artificial neural networks and possible patterns of behavior of a cryptanalyst are considered.
M. L. Radziukevich, V. F. Golikov
doaj   +1 more source

An Optimized Convolutional Neural Network for the 3D Point-Cloud Compression

open access: yesSensors, 2023
Due to the tremendous volume taken by the 3D point-cloud models, knowing how to achieve the balance between a high compression ratio, a low distortion rate, and computing cost in point-cloud compression is a significant issue in the field of virtual ...
Guoliang Luo   +6 more
doaj   +1 more source

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