In this research, the performance of nonlinear k-ε turbulence model in resolving the time delay between mean flow changes and its proportionate turbulent dissipation rate adjustment was investigated. For this purpose, the ability of Launder-Spalding linear, Suga non-linear, Yakhot RNG and Rietz modified RNG k-ε models are compared in the estimation of axial mean velocity profile and turbulent i...

We call a distribution on n–bit strings (ε, e)–locally random, if for every choice of e ≤ n positions the induced distribution on e–bit strings is in the L1–norm at most ε away from the uniform distribution on e–bit strings. We establish local randomness in polynomial random number generators (RNG) that are candidate one–way functions. Let N be a squarefree integer and let f1, . . . , f` be pol...

Security and privacy concerns have been growing with the increased usage of the RFID technology in our daily lives. To mitigate these issues, numerous privacy-friendly authentication protocols have been published in the last decade. Random number generators (RNGs) are commonly used in RFID tags to provide security and privacy of RFID protocols. RNGs might be weak spot of a protocol scheme and m...

The use of graphics processing units (GPUs) in simulation applications offers a significant speed gain as compared to computations on central processing units (CPUs). Many simulation methods require a large number of independent random variables generated at each step. We present two approaches for implementation of random number generators (RNGs) on a GPU. In the one-RNG-per-thread approach, o...

Cardiorespiratory fitness has been shown to protect and enhance cognitive and brain functions, but little is known about the cortical mechanisms that underlie these changes in older adults. In this study, functional near infrared spectroscopy (fNIRS) was used to investigate variations in oxyhemoglobin [HbO2] and in deoxyhemoglobin [HHb] in the dorsolateral prefrontal cortex (DLPFC) during the p...

The accuracy of stochastic (Monte Carlo) simulations is critically dependent on the quality of their random number generator (RNG). Recently, such simulations are increasingly implemented in a parallel form on field-programmable gate arrays (FPGAs) for higher performance. Fast, high-quality RNGs with periods long enough for extended simulation (e.g., the Mersenne Twister) have been well-proven ...

Two collections of oligonucleotides have been designed for preparing pangenomic human and mouse microarrays. A total of 148,993 and 121,703 oligonucleotides were designed against human and mouse transcripts. Quality scores were created in order to select 25,342 human and 24,109 mouse oligonucleotides. They correspond to: (i) a BLAST-specificity score; (ii) the number of expressed sequence tags ...

The scientific literature is filled with examples of bad random number generators (RNGs), and a bad RNG can completely ruin a researcher’s analysis. See Coddington (1994, 1996) for examples and discussion from the field of physics. Examples from economics are difficult to find, in part, because many economists do not bother to test the RNGs that they use in their applied work. This may be due t...

The unsteady separated turbulent flow around an oscillating airfoil pitching in a sinusoidal pattern in the regime of low Reynolds number is investigated numerically employing the URANS approach with two advanced turbulence models, namely the RNG kmode and Transition SST model, and the DES approach based on the SST kmodel. A comparison with experimental data shows that the SST kbased D...

The purpose of this paper is to evaluate the effects of a building parameter, namely ceiling configuration, on indoor natural ventilation. The computational fluid dynamics (CFD) code Phoenics was used with the RNG k-ε turbulence model to study wind motion and ventilation flow rates inside the building. All the CFD boundary conditions were described. The simulation results were first validated b...