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Vimala S.,Anna University | Sasikala T.,SRR Engineering College
International Review on Computers and Software | Year: 2014

The Present Grid community is trying to incorporate mobile devices such as PDA, Laptops, and sensor devices supporting abile functionalities in to their Grid network. The most challenging aspect in mobile Grid are job scheduling and load balancing under the unreliable communication environment. The existing job scheduling algorithms lag to verify the node's capability and to optimize the job execution time. This deficiency leads to increased network overhead causing poor network performance. To overcome these issues, we propose a mobility aware load balanced scheduling algorithm. Our approach categories the jobs into Computing-focused and Communication-focused jobs. The computing-intensive jobs are allocated to the resources with shorter round-trip-time, high CPU speed and capacity. The communication-intensive jobs are allocated to resources with low mobility and high reliability. The outcome of this approach results in most excellent balanced job allocation across the mobile nodes. By simulation results, we show that the proposed approach gives optimized results compared to existing techniques. © 2014 Praise Worthy Prize S.r.l. - All rights reserved. Source


Suresh Kumar K.,Saveetha Engineering College | Sasikala T.,SRR Engineering College
International Review on Computers and Software | Year: 2014

The major motto of my research is to develop a technique for web security using mutual authentication and clicking and cropping based image CAPTCHA technology. In our technique, we use two sections as registration and login. To create an account to use the application we use the registration section and to access the application we use the login section. We set five mandatory fields to login the application. The mandatory fields we give in login section should similar to the mandatory fields we gave while registration. The mandatory fields are checked with respect to the user id. The mandatory fields we set are user id, password, selecting image, number of clicks on image and cropping image. If the fields are same in the login section and registration section for a particular user id, the system will allow the user to access the application. Here, we incorporate three different features than the usual login section in the applications. The different features are selecting an image from a set of images and doing number clicks on that selected image and cropping a portion in that image. Our technique enhances the web security because of these added features. © 2014 Praise Worthy Prize S.r.l. - All rights reserved. Source


Simi A.,St. Josephs College | Azeeza V.,SRR Engineering College
Asian Journal of Chemistry | Year: 2010

Adsorption is an impotent method for colour removal from wastewater. Batch experiments were conducted to assess the potential for removal of methylene blue from aqueous solution by adsorption on to Jack fruit carbon. The equilibrium isotherm was determined and plotted to obtain the Langmuir constants, the Freundlich constants and Peterson constants. It was observed that very short contact time upto 30 min was required for the system to attain equilibrium. The maximum adsorption capacity of Jack fruit carbon was found to be 0.1047 mg of dye/g of Jack fruit carbon. Source


Veeramuthu A.,Sathyabama University | Meenakshi S.,SRR Engineering College | Kameshwaran A.,Sathyabam University
International Conference on Communication and Signal Processing, ICCSP 2014 - Proceedings | Year: 2014

In pattern recognition and in image processing, feature extraction is a special type of dimensionality reduction. In data mining, Attribute subset selection or feature subset selection is normally helps for data reduction by removing unrelated and redundant dimensions. Given a set of image data features are extracted. From the extracted features, feature subset selection finds the subset of features that are most relevant to data mining task. The efficiency and effectiveness of the feature selection algorithm is evaluated. While the efficiency concerns the time required to find a subset of features, the effectiveness is related to the proportion of the selected features. Based on these criteria, we have used Spatial Gray Level Difference Method (SGLDM) feature extraction algorithm and Correlation based Feature Selection (CFS). Projected Classification algorithm (PROCLASS) is going to be proposed for brain image data. Experiments are going to do compare these plug-in algorithms with FAST, FCBF feature selection algorithms. © 2014 IEEE. Source


Murali Krishnan K.,Sathyabama University | Satish R.,SRR Engineering College
International Journal of Applied Engineering Research | Year: 2016

The Past decade have seen a string of mergers and acquisitions both within India and outside by Indian as well as foreign companies. It is observed that the day after a merger or acquisition announcement sees flurried activity in the stock market with the shares of a firm either rising or dropping with the announcement. This paper examines if the stock market reaction depends on the announcement of the merger, the past history of the firm and the overall market at the time of announcement. It is believed that mergers have a certain moment that drives investors to either purchase or sell stock based on what benefit they perceive the merger to bring. Also, mergers and merger waves can occur when managers prefer that their firms remain independent rather than be acquired. We assume that managers can reduce their chance of being acquired by acquiring another firm and hence increasing the size of their own firm. We show that if managers value private benefits of control sufficiently, they may engage in unprofitable defensive acquisitions. The paper also analyzes the motivation behind a merger and attempts to study if the motivations provide the necessary momentum to match investor sentiment. © Research India Publications. Source

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