Results 151 to 160 of about 8,580 (194)
When herpes zoster is not herpes: A case of statin-induced myopathy complicated by drug allergies. [PDF]
Kareem HK +4 more
europepmc +1 more source
An Online Evaluation Method for Random Number Entropy Sources Based on Time-Frequency Feature Fusion. [PDF]
Sun Q +5 more
europepmc +1 more source
Investigating Major Sources of Methane Emissions at US Landfills. [PDF]
Scarpelli TR +9 more
europepmc +1 more source
Numerical prediction of cavitation performance of a prototype pump as turbine based on CFD. [PDF]
Zhang YL +5 more
europepmc +1 more source
Investigation of Three-Dimensional Flow Around a Model Samara Wing Depending on the Angle of Attack. [PDF]
Aydın N, Beyazoglu E, Karagoz I.
europepmc +1 more source
On the RNG theory of turbulence
The Yakhot and Orszag [J. Sci. Comput. 1, 3 (1986)] RNG theory of turbulence has generated a number of scaling law constants in reasonable quantitative agreement with experiments. The theory itself is highly mathematical, and its assumptions and approximations are not easily appreciated, particularly since several rather unconventional artifices are ...
S. H. Lam, S H Lam
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Reconfigurable ADC/True-RNG for Secure Sensor Networks
A novel circuit configurable either as an analog to digital converter (ADC) or as a true random number generator (RNG) is presented. The architecture derives from pipeline ADCs and its operating mode can be changed on the fly. When used as an ADC, it pairs the performance of normal pipeline converters; otherwise it is capable of tens random Mbit/s and ...
CALLEGARI, SERGIO +2 more
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Analysis of an RNG based turbulence model for separated flows
A two-equation turbulence model of the K-epsilon type was recently derived by using Renormalization Group (RNG) methods. It was later reported that this RNG based model yields substantially better predictions than the standard K-epsilon model for ...
S Thangam
exaly +2 more sources
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Assessing the Statistical Quality of RNGs
2020There has and still is an ongoing discourse on how to measure the quality of random numbers generated by Random Number Generators (RNGs).
Benjamin Rainer +2 more
openaire +1 more source
Memory access time as entropy source for RNG
Proceedings of the 7th International Conference on Security of Information and Networks, 2014Most modern cryptographic systems cannot function properly without a reliable random number generator [1-8]. There are many approaches to the construction of the RNGs, but they all have several disadvantages.This paper provides a new approach for constructing truly random number generator, based on non-stability of memory access time.The developers ...
Sergey Agafin, Anton Krasnopevtsev
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