Informatics Publishing Limited

J. Jayanthi ¹, N. Vinodhani ², K. S. Jayakumar ³

Affiliations
1 CSE Department, Sona College of Technology, Salem, IN
2 CSE Department, Paavai College of Engineering, Nammakal, IN
3 NLRC SPOKEN ENGLISH, Salem and Chennai, IN

Abstract

Today search engines constitute the most powerful tools for organizing and extracting information from the Web. However, it is not uncommon that even the most renowned search engines return result sets including many pages that are definitely useless for the user. This is mainly due to the fact that the very basic relevance criterions underlying their information retrieval strategies rely on the presence of query keywords within the returned pages. Web Search Personalization is a process of customizing the Web search experience of individual users. The goal of such personalization may range from simply providing the user with a more satisfied results by relevant information. Such a system must be able to deduce the information needs of the user. It is worth observing that statistical algorithms are applied to ―tune‖ the result and, more importantly, approaches based on the concept of relevance feedback are used in order to maximize the satisfaction of user’s needs. Nevertheless, in some cases, this is not sufficient. In this paper search results are ranked based on user preferences in content and link. The preference of content and link is integrated in order to rank the results.

Keywords

Personalization, Page Ranking, Information Retrieval, Semantics, Links, HITs.

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T. Jesudas ¹, R. M. Arunachalam ¹, K. S. Jayakumar ¹, R. Thiraviam ²

Affiliations
1 Dept. of Mechanical Engg., Sona College of Technology, Salem, IN
2 Sethu Institute of Technology, Kariapatti, Anna University, Tamil Nadu, IN

Abstract

The bronze-alumina (Al₂O₃) alloy is an Metal Matrix Composite (MMC) of interest in several applications like bearing sleeve, piston and cylinder liners etc:The reinforcement used in this MMC makes it difficult to machine using traditional technique. Wire-Electric Discharge Machine (WEDM) seems to be a viable option to machine. This paper presents an investigation on the optimization of machining parameters in WEDM of bronze-alumina MMC. The main objective is to find the optimum cutting parameters to achieve a low value of surface roughness and higher material removal rate (MRR). The cutting parameters considered in this experimental study are, pulse on time, pulse off time and wire feed rate. The settings of cutting parameter's were determined by using Taguchi experimental design method. An L₉ orthogonal array was chosen. Signal to Noise ratio (S/N) and analysis of variance (ANOVA) was used to analyze the effect of the parameters on surface roughness and material removal rmte to identify the optimum cutting parameters. The contribution of each cutting parameter's towards the surface roughness and material removal rate is also identified. The study shows that the Taguchi method is suitable to solve the stated problem with minimum number of trials.

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