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Atiqur Rahman
Dept. Of Computer Science & Engineering

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An Efficient Converging Snake Algorithm for Locating Object Boundaries Atiqur Rahman; Rashed Mustafa
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 1: April 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

Active contour are now established as a technique for extracting salient contours from an image. A snake is an active contour for representing object contour. Traditional snake algorithms are often used to represent the contour of a single object. A different contour search algorithm is presented in this paper that provides an efficient convergence to the object contours than both the kass et al and greedy snake algorithm (GSA).Our proposed algorithm provides a straightforward approach for snake contour rapid splitting and connection, which usually cannot be gracefully handle by traditional snakes. This  algorithm compares with other two conventional approaches is faster according to needed execution time. This paper tells us which one is better by comparing each other. The experimental results of various test sequence images with a single object shown good performance, which proved that the proposed algorithm is faster among those. DOI: http://dx.doi.org/10.11591/telkomnika.v14i1.7467
High Performance Computing Clusters Design & Analysis Using Red Hat Enterprise Linux Atiqur Rahman
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 3: June 2015
Publisher : Institute of Advanced Engineering and Science

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The purpose of this paper was to configure a cluster computing system to improve performance over that of a single computer, while typically being much more cost-effective than single computers of comparable speed. High performance computing more and more issued in all kinds of fields. But, for the common user, there are several questions on implementing the process of competing on the specialized clusters: such as expense high, management difficulty and operation complex and so on. To overcome these problems, this article designs and realizes the high performance computing environment based on Linux cluster after studying the key technology of cluster and parallel computing. Finally, the performance of system environment is tested by interactive version of CPI algorithm. Before discussion on HPC the cluster computing system with its classification, the advantages and application of clustering system will also be discussed here. DOI: http://dx.doi.org/10.11591/telkomnika.v14i3.7798 
Co-Authors Rashed Mustafa