International Journal of Advanced Networking and Applications

P. Arun ¹, K. Iyakutti ²

Affiliations
1 Madurai Kamaraj University, Madurai-625021, Tamil Nadu, IN
2 School of Physics, Madurai Kamaraj University, Madurai-625021, Tamil Nadu, IN

Abstract

With an increasing continuous growth of information in WWW it is very difficult for the users to access the interested web pages from the website. Because day by day the information in the web is growing in an increasing manner so without any help system the user may spend more time to get the interested information from the website. To overcome the above problem, in this paper we propose a Model which create a User Interested Page Ontology (UIPO), it will be created by assigning weights and ranking the user interest by count the number of occurrence of each item which was collected from the web logs within a session for all users. The main feature of this model is, it generates UIPO dynamically from that it personalize the interested pages to the web users in their next access The proposed model is very useful for understanding the behavior of the users and also improving the web site design too. The performance of the new model in a session is also discussed in this paper.

Keywords

Web Usage Mining, Web Logs, Ontology, Session, Web Personalization.

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R. Indra Gandhi ¹, K. Iyakutti ²

Affiliations
1 Department of Computer Science, Mother Teresa Women’s University, Kodaikanal-624102, TN, IN
2 School of Physics, Madurai Kamaraj University, Madurai-62502, TN, IN

Abstract

This paper presents a new approach of Kohonen neural network based Self Organizing Map (SOM) algorithm for Tamil Character Recognition. Which provides much higher performance than the traditional neural network. Approaches: Step 1:It describes how a system is used to recognize a hand written Tamil characters using a classification approach. The aim of the pre-classification is to reduce the number of possible candidates of unknown character, to a subset of the total character set. This is otherwise known as cluster, so the algorithm will try to group similar characters together. Step 2:Members of pre-classified group are further analyzed using a statistical classifier for final recognition. A recognition rate of around 79.9% was achieved for the first choice and more than 98.5% for the top three choices. The result shows that the proposed Kohonen SOM algorithm yields promising output and feasible with other existing techniques.

Keywords

Handwritten Character, SOM, Baseline, Statistical, Structural, Crux, Meticulous and Sobel Edge Detection.

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R. Sridaran ¹, G. Padmavathi ², K. Iyakutti ³, M. N. S. Mani ⁴

Affiliations
1 Department of MCA, New Horizon College of Engineering, Bangalore-560087, IN
2 Department of Computer Science, Avinashilingam University for Women, Coimbatore-641047, IN
3 School of Physics, Madurai Kamaraj University, Madurai-625021, IN
4 Lakshmi Systems, Madurai-625020, IN

Abstract

The Model/View/Controller design pattern divides an application environment into three components to handle the user-interactions, computations and output respectively. This separation greatly favors architectural reusability. The pattern works well in the case of single-address space and not proven to be efficient for web applications involving multiple address spaces. Web applications force the designers to decide which of the components of the pattern are to be partitioned between the server and client(s) before the design phase commences. For any rapidly growing web application, it is very difficult to incorporate future changes in policies related to partitioning. One solution to this problem is to duplicate the Model and controller components at both server and client(s). However, this may add further problems like delayed data fetch, security and scalability issues. In order to overcome this, a new architecture SPIM has been proposed that deals with the partitioning problem in an alternative way. SPIM shows tremendous improvements in performance when compared with a similar architecture.

Keywords

Design Pattern, Model/View/Controller, Partitioning, SOA, Web Application.

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