A k-core Ck of a tree T is subtree with exactly k leaves for k nl , where nl the number of leaves in T , and minimizes the sum of the distances of all nodes from Ck . In this paper first we propose a distributed algorithm for constructing a rooted spanning tree of a dynamic graph such that root of the tree is located near the center of the graph. Then we provide a distributed algorithm for find...

The goal of this paper is to present the implementation of a Radial Basis Function neural network with built-in knowledge to recognize hand-written characters. The neural network includes in its architecture gates controlled by an attraction/repulsion system of coefficients. These coefficients are derived from a preprocessing stage which groups the characters according to their ascendant, centr...

This study was carried out in order to evaluate the changes of Nitrogen, phosphor and potassium uptake by wheat and remaining of them in soil under foliar application of Leonardite and foliar application of N and K. The experiment was conducted in Gorgan University of Agricultural Sciences and Natural Resources during 2013- 2014. The experiment was laid out a using split-plot arrangement based ...

Testing and deploying mobile wireless networks and applications are very challenging tasks, due to the network size and administration as well as node mobility management. Well known simulation tools provide a more flexible environment but they do not run in real time and they rely on models of the developed system rather than on the system itself. Emulation is a hybrid approach allowing real a...

A new system to segment and label CT/MRI brain slices using feature extraction and unsupervised clustering is presented. Each volume element (voxel) is assigned a feature pattern consisting of a scaled family of diierential geometrical invariant features. The invariant feature pattern is then assigned to a speciic region using a two-stage neural network system. The rst stage is a self-organizin...

the hub location decision is a long term investment and any changes in it take considerable time and money. in real situations, some parameters are uncertain hence, deterministic models cannot be more efficient. the ability of two-stage stochastic programming is to make a long-term decision by considering effects of it in short term decisions simultaneously. in the two-stage stochastic programm...

data envelopment analysis (dea) and balanced scorecard (bsc) are two well-known approaches for measuring performance of decision making units (dmus). bsc is especially applied with quality measures, whereas, when the quantity measures are used to evaluate, dea is more appropriate. in the real-world, dmus usually have complex structures such as network structures. one of the well-known network s...