We present a new approach for the construction of stochastic subgrid scale parameterizations. Starting from a high-resolution finite-difference discretization of some model equations, the new approach is based on splitting the model variables into fast, small-scale and slow, large-scale modes by averaging the model discretization over neighboring grid cells. After that, the fast modes are elimi...

one of the really important challenges facing agricultural producers is the choice of their product distribution channels. the present study is aimed at investigating the citrus marketing channel strategy and its determinants among citrus orchardists of mazandaran using a nested logit model. some two hundred and fifty two orchardists from 15 cities of mazandaran were taken as the study samples....

introduction: this paper proposes an appropriate strategy for exporting hepatitis b vaccine, manufactured by pasteur institute of iran, to other countries. methods: eeffectiveness factors and their relative variables were found out by factor analysis method in spss software. results: we could identify 6 main factors which can extremely affect the export of this product. we evaluated manufacture...

the paper tries to present an improved mathematical model for distribution companies (discos) in order to solve distribution network expansion planning (dnep) problems in the presence of certain resources of distributed generations (dgs) entitled small scale gas engines in the medium voltage grids. with the aim of minimizing investment and operation costs, the recommended model combines a compr...

This document provides supplementary material to the article “Fiber Direction Estimation, Smoothing and Tracking in Diffusion MRI” written by the same authors. S1 Practical maximum likelihood estimation for model (2) In an attempt to find the global maximizer of the likelihood (3), we develop an efficient algorithm through an approximation of model (2). This algorithm essentially performs a gri...

This paper develops an adaptive control method for controlling frequency and voltage of an islanded mini/micro grid (M/µG) using reinforcement learning method. Reinforcement learning (RL) is one of the branches of the machine learning, which is the main solution method of Markov decision process (MDPs). Among the several solution methods of RL, the Q-learning method is used for solving RL in th...

Abstract: Currently, the electric power production by wind energy conversion systems (WECSs) has increased significantly. Consequently, wind turbine (WT) generators are requested to fulfill the grid code (GC) requirements stated by network operators. In case of grid faults/voltage dips, a mismatch between the generated active power from the wind generator and the active power delivered to the g...

Road condition data are very important in transportation management system. Conventional data collection approach is time-consuming and labor intensive. This paper reports the developed techniques for 3D road surface reconstruction in support of unpaved road distress assessment using imagery acquired from a Unmanned Aviation Vehicle (UAV)-based imaging system. This system, produced in a project...

This paper considers the relationship between request distribution and replica distribution in data grid when request exhibits arbitrary clustered demands. We first give formal model of replication strategies in data grid system. Second, we investigate what is optimal way at the objective of minimizing average access latency to replicate data when request exhibits arbitrary clustered demands. W...