Results 11 to 20 of about 118,611,904 (228)
Incremental evolution of cellular automata for random number generation [PDF]
, 2003 Cellular automata (CA) have been used in pseudorandom number generation for over a decade. Recent studies show that controllable CA (CCA) can generate better random sequences than conventional one-dimensional (1-d) CA and compete with two-dimensional (2 ...
Guan, SU, Zhang, S
core +7 more sources
Random number generation and working memory. [PDF]
, 2007 We demonstrate the close relationship that exists between random sequence generation and working memory functioning. We clarify the nature of this link by examining the impact of concurrent requirements for random sequence response quality.
Towse, John N., Cheshire, Andrea
core +4 more sources
An Evolutionary Approach to the Design of Controllable Cellular Automata Structure for Random Number Generation [PDF]
, 2003 Cellular Automata (CA) has been used in pseudorandom number generation over a decade. Recent studies show that two-dimensional (2-d) CA Pseudorandom Number Generators (PRNGs) may generate better random sequences than conventional one-dimensional (1-d) CA
Guan, SU, Zhang, S
core +6 more sources
Pseudorandom number generation with self programmable cellular automata [PDF]
, 2004 In this paper, we propose a new class of cellular automata – self programming cellular automata (SPCA) with specific application to pseudorandom number generation. By changing a cell's state transition rules in relation to factors such as its neighboring
Guan, SU, Tan, SK
core +6 more sources
Multiplexed Quantum Random Number Generation [PDF]
, 2019 Fast secure random number generation is essential for high-speed encrypted communication, and is the backbone of information security. Generation of truly random numbers depends on the intrinsic randomness of the process used and is usually limited by ...
Lenzini, Francesco +9 more
core +1 more source
IEEE AccessThis study presents a new approach to generating true random numbers by exploiting the random nature inherent in mobile communication networks. Taking advantage of fluctuations in total users, user activity rate, and channel fading, we receive a raw ...
Farid Alidoust Aghdam +5 more
doaj +1 more source
Deep Reinforcement Learning for Cybersecurity Assessment of Wind Integrated Power Systems
IEEE Access, 2020 The integration of renewable energy sources (RES) is rapidly increasing in electric power systems (EPS). While the inclusion of intermittent RES coupled with the wide-scale deployment of communication and sensing devices is important towards a fully ...
Xiaorui Liu +2 more
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Journal of Radiation Research and Applied SciencesRecently scientists have shown their keen interest for methods which minimize the loss of significant energy during irreversible process. Entropy generation is directly associated with degraded energy in a thermodynamic system.
Muhammad Yasir +4 more
doaj +1 more source
An architecturally constrained model of random number generation and its application to modeling the effect of generation rate [PDF]
, 2014 Random number generation (RNG) is a complex cognitive task for human subjects, requiring deliberative control to avoid production of habitual, stereotyped sequences. Under various manipulations (e.g., speeded responding, transcranial magnetic stimulation,
Richard P Cooper +6 more
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Exploring Stability and Chaos in the Fractional-Order Arneodo System via Grünwald–Letnikov Scheme
MathematicsThis paper investigates the dynamical properties of the fractional-order Arneodo system using a Grünwald–Letnikov-based numerical discretization. Fractional-order operators introduce memory and hereditary effects, enabling a more realistic description ...
Mohamed Elbadri +6 more
doaj +1 more source