Results 171 to 180 of about 11,341,287 (236)
Some of the next articles are maybe not open access.
Efficient deterministic and non-deterministic pseudorandom number generation
Mathematics and Computers in Simulation, 2018Jianliang Zheng
exaly +2 more sources
IEEE Transactions on Circuits and Systems I: Regular Papers, 2018
Mohammed Bakiri +2 more
exaly +2 more sources
Mohammed Bakiri +2 more
exaly +2 more sources
International Conference on Consumer Electronics-Taiwan, 2021
In the presented paper, we discuss the domain of a control parameter that can give suitable output sequences for pseudorandom number generation using the logistic map over integers.
Gen Osono +4 more
semanticscholar +1 more source
In the presented paper, we discuss the domain of a control parameter that can give suitable output sequences for pseudorandom number generation using the logistic map over integers.
Gen Osono +4 more
semanticscholar +1 more source
Study on Pseudorandomness of Some Pseudorandom Number Generators with Application
2013 Ninth International Conference on Computational Intelligence and Security, 2013Pseudo random numbers are important in various applications. Pseudo random number generators (PRNGs) have been used widely to provide ideal pseudo random number generating sources. Recently the researches on chaos-based PRNGs have also attracted much attention.
Lequan Min +3 more
openaire +1 more source
Modified Pseudorandom Number Generators
IEEE Transactions on Electronic Computers, 1967Pseudorandom number generator programs can be modified by a simple procedure which has particular advantages for the shorter word binary computers. The method combines the result of any conventional arithmetic generator with the current state of counters by means of a logic instruction.
Herbert C. Ratz, J. V. Hildebrand
openaire +2 more sources
Implementing a Pseudorandom Number Generator on a Minicomputer
IEEE Transactions on Software Engineering, 1977Three contemporary pseudorandom number generators: Tausworthe, GFSR, and Lehmer are implemented on a 16-bit minicomputer. Practical comparisons are made in terms of 1) ease of implementation, 2) length of period, 3) execution speed, 4) program storage space, and 5) statistical quality.
Warren V. Camp, Ted G. Lewis
openaire +2 more sources
Generation of pseudorandom numbers
Medical Physics, 1986Computational studies requiring the generation of pseudorandom numbers are becoming increasingly common. These include Monte Carlo methodologies and studies which require the addition of “random” noise to more structured data. Although well‐established random number generators exist, many of these are not suitable for implementation on micro‐ or ...
openaire +2 more sources
Chaos
The resistance state of a memristor can be influenced by external stimuli, and these variations can be converted into a pseudorandom sequence through appropriate circuitry and control mechanisms.
Suo Gao +9 more
semanticscholar +1 more source
The resistance state of a memristor can be influenced by external stimuli, and these variations can be converted into a pseudorandom sequence through appropriate circuitry and control mechanisms.
Suo Gao +9 more
semanticscholar +1 more source
A Novel Approach to Cryptographically Secure Pseudorandom Number Generation
2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET)The demand for fast and high-quality random number generation continues to grow, particularly within the field of cryptography, where such numbers are fundamental to the secure generation of encryption keys.
Mandana Ewert
semanticscholar +1 more source
Design of Improvised CVLCG Based on Chaotic Iteration for Pseudorandom Number Generation
IEEE International Conference on Electronics, Computing and Communication TechnologiesIn the context of modern security, connectivity, and networks, reliable and efficient random number generation is crucial for ensuring secure communications and data integrity.
T. V. Sailesh Kumar +4 more
semanticscholar +1 more source

