GSM Based Operating of Embedded System Cloud Computing, Mobile Application Development and Artificial Intelligence Based System

The purpose of this paper is to identify and explore the challenges for potential solutions in the field of Mobile Application Cloud Computing Artificial Intelligence Robotics and Home made Devices Television Refrigerator Air Conditioner Air Cooler Mixer Grinder in Embedded Systems This paper is an attempt to introduce the reader into the world of GSM based Operating of Embedded Systems in voice based talking GSM technology and its applications for updating the new technologies in old device in the industry of home made appliances and devices in Embedded Systems The objective of the series will be a general discussion of GSM based new operating technologies for Mobile Applications Development and Mobile Computing in terms of Artificial Intelligence Its application will working from non mobile devices in home - made appliances and robotic

Stochastic turbulence modeling in RANS simulations via Multilevel Monte Carlo

A multilevel Monte Carlo (MLMC) method for quantifying model-form uncertainties associated with the Reynolds-Averaged Navier-Stokes (RANS) simulations is presented. Two, high-dimensional, stochastic extensions of the RANS equations are considered to demonstrate the applicability of the MLMC method. The first approach is based on global perturbation of the baseline eddy viscosity field using a lognormal random field. A more general second extension is considered based on the work of [Xiao et al.(2017)], where the entire Reynolds Stress Tensor (RST) is perturbed while maintaining realizability. For two fundamental flows, we show that the MLMC method based on a hierarchy of meshes is asymptotically faster than plain Monte Carlo. Additionally, we demonstrate that for some flows an optimal multilevel estimator can be obtained for which the cost scales with the same order as a single CFD solve on the finest grid level.Comment: 40 page