This paper describes a block data partitioning algorithm suited to parallel processing in a heterogeneous network environment where some of the processors have the same performance capacity. Grid problems are particularly suited to block data partitioning schemes where communication cost is reduced by locating a grid point and its neighbors on the same physical processor whenever possible. Our ...

Clustering is one of the important data mining techniques which discover clusters in many real-world data sets. Recent algorithms attempt to find clusters in subspaces of high dimensional data. Density based clustering algorithms uses grid structure for partitioning each dimensions into intervals (bins) which yields good computation and quality results on large databases. In this paper, we prop...

Dynamic load balancing is considered in the context of adaptive multilevel methods for partial differential equations on distributed memory multiprocessors. An approach that periodically repartitions the grid is taken. The important properties of a partitioning algorithm are presented and discussed in this context. A partitioning algorithm based on the refinement tree of the adaptive grid is pr...

Manipulator control is one of the main research areas in robotics, demanding for models with fast convergence and reliable stability for modelling and control. In this paper, the mechanisms of CMAC and ANFIS models for input space partitioning are analysed and their performance is compared to each other in terms of their abilities to model complex non-linear processes, with performance indexes ...

Clustering is a technique used in data mining that groups similar objects into one cluster, while dissimilar objects are grouped into different clusters. The clustering techniques can be categorized into partitioning methods, hierarchical methods, density-based methods and grid-based methods. The different partitioning methods studied here are k-means and k-medoids. The different hierarchical t...

The oxidative coupling of methane (OCM) performance over Na-W-Mn/SiO2 at elevated pressures has been simulated by adaptive neuro fuzzy inference system (ANFIS) using reaction data gathered in an isothermal fixed bed microreactor. In the designed neuro fuzzy models, three important parameters such as methane to oxygen ratio, gas hourly space velocity (GHSV), and reaction temperature were conside...

The islanding methods are classified in terms of the islanding principle and the distributed Generation (DG). Islanding detection techniques are mainly divided into three types for distribution systems: Remote, local and communication based techniques. Passive methods are based on the information available on the DG site at the point of common coupling (PCC) with the utility grid. A new approac...

Clustering is one of the important data mining techniques which discover clusters in many real-world data sets. Recent algorithms attempt to find clusters in subspaces of high dimensional data. Density based clustering algorithms uses grid structure for partitioning each dimensions into intervals (bins) which yields good computation and quality results on large databases. In this paper, we prop...

Dynamic load balancing is considered in the context of adaptive multilevel methods for partial diierential equations on distributed memory multiproces-sors. An approach that periodically repartitions the grid is taken. The important properties of a partitioning algorithm are presented and discussed in this context. A partitioning algorithm based on the reenement tree of the adaptive grid is pre...