Results 1 to 10 of about 8,580 (194)

Unravelling the small number bias: the role of pseudoneglect and frequency of use in random number generation. [PDF]

Psychol Res
Mingolo S, Prpic V, Mariconda A, Agostini T, Murgia M.   +4 more
europepmc   +1 more source

Optimal human respiratory simulation for exhaled gas based on CFD method. [PDF]

PLoS One
Gao F, Li Y, Su Z, Wang C, Wang H, Li J.
europepmc   +1 more source

Computational Fluid Dynamics Analysis of a Centrifugal Pump Based on Solid-Liquid Two-Phase Turbulence. [PDF]

ACS Omega
Shi B, Zhang S, Shi L, Hu Z.
europepmc   +1 more source

Numerical simulation and experimental study of suspended particulate matter removal for efficient water recovery and reuse in solid-liquid separation. [PDF]

Sci Rep
Dhanorkar M, Mishra I, Sawant R, Sharma K, Sonawane C, Siddiqui MIH, Ashraf I, Tejani GG.   +7 more
europepmc   +1 more source

Hybrid CMOS-OxRAM RNG circuits

2016 IEEE 16th International Conference on Nanotechnology (IEEE-NANO), 2016
Compact, low-power random number generators (RNG) are essential for applications such as stochastic, bio-inspired-computing and secure system data encryption/communication. We demonstrate for the first time highly scalable RNG circuits based on the reset-state transient current fluctuation of resistive switching OxRAM devices.
Shubham Sahay, Manan Suri, Ashwani Kumar   +2 more
exaly   +2 more sources

A Field RNG Experiment: Use of a Digital RNG at Movie Theaters

NeuroQuantology, 2016
Over the past two decades, field RNG studies have reported anomalous statistical biases when a coherent event evokes emotions from an audience. A hardware device must be dedicated to generate true random numbers. Recent Intel’s Ivy Bridge CPU has an internal RNG, called a Digital RNG (Drng), which uses thermal noise. Using RdRand command, the present
Takeshi Shimizu, Kitaro Yamamoto, Masato Ishikawa   +2 more
openaire   +1 more source

The 64-bit universal RNG

Statistics & Probability Letters, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Marsaglia, G, Tsang, WW
openaire   +3 more sources

A Distinguisher for RNGs with LFSR Post-processing

2021
Random number generator (RNG) is a fundamental element in modern cryptography. If the quality of the outputs generated by RNGs is not as well as expected, the cryptographic applications which use the random number service are vulnerable to security threats.
Xinying Wu, Yuan Ma, Tianyu Chen, Na Lv
openaire   +1 more source

Assessment of RNG Turbulence Modeling and the Development of a Generalized RNG Closure Model

SAE Technical Paper Series, 2011
<div class="section abstract"><div class="htmlview paragraph">RNG k-ε closure turbulence dissipation equations are evaluated employing the CFD code KIVA-3V Release 2. The numerical evaluations start by considering simple jet flows, including incompressible air jets and compressible helium jets.
Bao-Lin Wang, Paul C. Miles, Rolf D. Reitz, Zhiyu Han, Benjamin Petersen   +4 more
openaire   +1 more source

An RNG-based heuristic for curve reconstruction

2006 3rd International Symposium on Voronoi Diagrams in Science and Engineering, 2006
In this paper we propose an RNG-based heuristic for curve reconstruction. Given a set of n sample points S, we first construct a Relative Neighbourhood Graph on S, which is shown to contain all edges joining adjacent points on the unknown curve for an \in -sample with \in \lt 1/5. Next, we use a heuristic to remove non-adjacent edges.
Asish Mukhopadhyay, Augustus Das
openaire   +1 more source