Existing LES methods face three basic problems: a huge variety of LES models are currently applied, dynamic LES methods are either very expensive or have to be combined with ow-dependent empirical stabilization techniques, and the cost of LES for wall-bounded ow simulations are way too high for most applications. Solutions for these three problems can be developed by deriving non-dynamic, dynam...

This paper presents a tidally averaged model that approximates the long-term mixing processes of dissolved matter in tidal waters. The averaged transport model is based on a stochastic particle model. Because formal averaging techniques are used, the asymptotic validity of the approximation can be proven under the restriction that the diiusion coeecient is small. Numerical implementation of the...

We estimated the growth of Jack mackerel (Trachurus murphyi) using increments daily growth, otolith weight and annual ring reading in sagittal otoliths. The micro-increments were used to fit density radius (n = 4481) then estimate age individual days. parameters von Bertalannfy equation were: maximum theoretical fork length, FL∞ 75 cm; coefficient, K 0.16 year-1; at which fish length is zero, t...

background: the global prevalence of overweight and obesity had risen in recent decades, and obesity is taken into consideration as a public health concern and a major risk factor of common chronic disease. the objective of the present study was to estimate the prevalence of overweight and obesity and to identify its underlying factors among children 2-6 yr of age in fars province, southern ira...

The knowledge of Arctic Sea ice coverage is particular importance in studies climate change. This study develops a new sea classification approach based on machine learning (ML) classifiers through analyzing spaceborne GNSS-R features derived from the TechDemoSat-1 (TDS-1) data collected over open water (OW), first-year (FYI), and multi-year (MYI). A total eight extracted observables five month...

A cluster algorithm for graphs called the Markov Cluster algorithm (MCL algorithm) is introduced. The algorithm provides basically an interface to an algebraic process de ned on stochastic matrices, called the MCL process. The graphs may be both weighted (with nonnegative weight) and directed. Let G be such a graph. The MCL algorithm simulates ow in G by rst identifying G in a canonical way wit...

This PhD thesis is devoted to the study of combinatorial optimization problems related to massively parallel embedded architectures when taking into account uncertain data (e.g. execution time). Our focus is on chance constrained programs with the objective of nding the best solution which is feasible with a preset probability guarantee. A qualitative analysis of the uncertain data we have to t...

Motion of uid elements can be described by the Navier-Stokes equations. They arise from use Law motion to a uid. In this investigation, two dimensional have been engaged. Then they are applied an incompressible viscous movement down inclined plane with net ow. These leads examining effects velocity at various angles inclination and finding boundary layer thickness. Viscous laminar fluid ow also...