We investigate entropy generation in unsteady three-dimensional axisymmetric MHD nanofluid flow over a non-linearly stretching sheet. The flow is subject to thermal radiation and a chemical reaction. The conservation equations were solved using the spectral quasi-linearization method. The novelty of the work is in the study of entropy generation in three-dimensional axisymmetric MHD nanofluid a...

Random number generators have direct applications in information security, online gaming, gambling, and computer science in general. True random number generators need an entropy source which is a physical source with inherent uncertainty, to ensure unpredictability of the output. In this paper we propose a new indirect approach to collecting entropy using human errors in the game play of a use...

Random and pseudorandom number generators (RNG and PRNG) are used for many purposes including cryptographic, modeling and simulation applications. For such applications a generated bit sequence should mimic true random, i.e., by definition, such a sequence could be interpreted as the result of the flips of a fair coin with sides that are labeled 0 and 1. It is known that the Shannon entropy of ...

in this paper, convection heat transfer of al2o3-water nanofluid turbulent flow through internally ribbed tubes with different rib shapes (rectangular, trapezoidal and semi-circular) is numerically investigated. for each rib shape, the optimum geometric ratio and volume fraction were calculated using entropy generation minimization technique. the governing equations in steady state and axisymme...

In this paper, an enhanced computational code was developed using finite-volume method for solving the incompressible natural convection flow within the cylindrical cavities. Grids were generated by an easy method with a view to computer program providing. An explicit integration algorithm was applied to find the steady state condition. Also instead of the conventional algorithms of SIMPLE, SIM...

The main component of a true random number generator (TRNG) is its source of entropy. Field Programmable Gate Arrays (FPGAs) are emerging as a popular platform for implementing single-chip TRNGs. Most of the generators implemented in FPGAs exploit the jitter from ring oscillators as source of entropy. The present paper proposes a new method for implementing TRNGs in FPGAs based on high fanout c...

The Linux [1] random number generator (LRNG) aims to produce random numbers with all the limitations due to a deterministic machine. Two recent analysis exist for this generator [2,5]. These analysis provide strong cryptographic details about LRNG. However both fail to give a mathematical explanation of the entropy estimator embedded. In this paper we propose an interpretation using Newton poly...