Kongu Engineering College

About: Kongu Engineering College is a based out in . It is known for research contribution in the topics: Computer science & Cluster analysis. The organization has 2001 authors who have published 1978 publications receiving 16923 citations.

A New Approach for Data Clustering Based on PSO with Local Search

Abstract: Data clustering is a popular approach for automatically finding classes, concepts, or groups of patterns. The term “clustering” is used in several research communities to describe methods for grouping of unlabeled data. These communities have different terminologies and assumptions for the components of the clustering process and the context in which clustering is used. This paper looks into the use of Particle Swarm Optimization (PSO) for cluster analysis. In standard PSO the non-oscillatory route can quickly cause a particle to stagnate and also it may prematurely converge on suboptimal solutions that are not even guaranteed to local optimal solution. In this paper a modification strategy is proposed for the particle swarm optimization (PSO) algorithm and applied in the data sets. This paper provides a method for particles to steer clear off from local stagnation and the local search is applied to improve the goodness of fitting. The effectiveness of this concept is demonstrated by cluster analysis. Results show that the model provides enhanced performance and maintains more diversity in the swarm and thereby allows the particles to be robust to trace the changing environment.

Study on mechanical characteristics of woven cotton/bamboo hybrid reinforced composite laminates

Abstract: In this study, two fabrics namely cotton/cotton woven fabric having cotton yarn in both warp and weft direction; and cotton/bamboo woven fabric with cotton yarn (warp direction) and bamboo yarn (weft direction) were selected. Compression moulding method has been used to fabricate cotton/cotton and cotton/bamboo woven fabric reinforced composites with epoxy resin as a matrix material. The mechanical properties of cotton/cotton and cotton/bamboo reinforced composites had been compared under five different fiber loading conditions (30, 35, 40, 45 and 50 wt.%) and the fractured morphology was analyzed using scanning electron microscope. It was noted that cotton/bamboo reinforced composite with 45 wt.% fiber loading exhibited the best mechanical properties namely tensile, flexural, impact, compression, and inter laminar shear stress (ILSS), due to its weft direction of bamboo yarn.