Research Volumes Journal of Theoretical and Applied Information Technology (JATIT)- Volume 15 No 1

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Journal receives papers in continuous flow and we will consider articles from a wide range of Information Technology disciplines encompassing the most basic research to the most innovative technologies. Please submit your papers electronically to our submission system at http://jatit.org/submit_paper.php in an MSWord, Pdf or compatible format so that they may be evaluated for publication in the upcoming issue. This journal uses a blinded review process; please remember to include all your personal identifiable information in the manuscript before submitting it for review, we will edit the necessary information at our side. Submissions to JATIT should be full research / review papers (properly indicated below main title).

Journal of Theoretical and Applied Information Technology August 2010 | Vol. 18. No.1

Paper ID:	1395 -JATIT-2K10
Title:	AN APPROACH OF DYNAMIC FILTER FOR WEATHER ENVIRONMENT DEPENDENT ON TIME
Author:	WA’EL JUM’AH AL-ZYADAT, RODZIAH BINTI ATAN
Source:	Journal of Theoretical and Applied Information Technology Vol 18. No. 1 -- 2010
Abstract	In general dynamic filter has difficulty to execute the process because the Input /Output rapid change and its link-time directly almost work is synchronized within received data, the effectiveness for the results its and evaluations for all functions to process compatible usability, the structure designed for approach is Full Life Cycle Object-Oriented Testing (FLOOT) which aims the domain for weather its special environment which means high data sets is needed to support for end-user to predict the results in addition FLOOT give validity forward and backward processes and able to correct any error if discovered. Through experiments, we show our approach improves the performance of filtering information in two types of recognizes errors systems adopting the re-process data and visualization, respectively. In this paper will provide approach to resolve impact environment to data stream and enhancement filtering process interaction.
Keywords	Data filtering, Enhanced Data, Clustering, Error Detecting, Full Life Cycle Object-Oriented Testing (FLOOT)
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Paper ID:	1398 -JATIT-2K10
Title:	WIENER INDEX OF PLANAR MAPS
Author:	M. EL MARRAKI, A. MODABISH
Source:	Journal of Theoretical and Applied Information Technology Vol 18. No. 1 -- 2010
Abstract	In trees with n vertices, the Wiener index of tree is minimized by stars and maximized by paths, both uniquely. In this paper, we give an inequality similar in the case of planar maps
Keywords	Wiener index, maps, trees
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Paper ID:	1401 -JATIT-2K10
Title:	FISH RECOGNITION BASED ON ROBUST FEATURES EXTRACTION FROM COLOR TEXTURE MEASUREMENTS USING BACK-PROPAGATION CLASSIFIER
Author:	MUTASEM KHALIL ALSMADI, KHAIRUDDIN BIN OMAR, SHAHRUL AZMAN NOAH, IBRAHIM ALMARASHDEH
Source:	Journal of Theoretical and Applied Information Technology Vol 18. No. 1 -- 2010
Abstract	Problem statement: image recognition is a challenging problem researchers had been research into this area for so long especially in the recent years, due to distortion, noise, segmentation errors, overlap, and occlusion of objects in digital images. In our study, there are many fields concern with pattern recognition, for example, fingerprint verification, face recognition, iris discrimination, chromosome shape discrimination, optical character recognition, texture discrimination, and speech recognition, the subject of pattern recognition appears. A system for recognizing isolated pattern of interest may be as an approach for dealing with such application. Scientists and engineers with interests in image processing and pattern recognition have developed various approaches to deal with digital image recognition problems such as, neural network, contour matching and statistics. Approach: in this work, our aim is to recognize an isolated pattern of interest in the image based on the combination between robust features extraction. Where depend on color texture measurements that are extracted by gray level co-occurrence matrix. Result: We presented a system prototype for dealing with such problem. The system started by acquiring an image containing pattern of fish, then the image segmentation is performed relying on color texture measurements. Our system has been applied on 20 different fish families, each family has a different number of fish types, and our sample consists of distinct 610 of fish images. These images are divided into two datasets: 500 training images, and 110 testing images. An overall accuracy is obtained using back-propagation classifier was 84% on the test dataset used. Conclusion: We developed a classifier for fish images recognition. We efficiently have chosen a image segmentation method to fit our demands. Our classifier successfully design and implement a decision which performed efficiently without any problems. Eventually, the classifier is able to categorize the given fish into its cluster and categorize the clustered fish into its poison or non-poison fish, and categorizes the poison and non-poison fish into its family.
Keywords	Neural network, ANN, image segmentation, gray level co-occurrence matrix, color texture, digital image recognition, and feed forward back propagation classifier, poison and non-poison fish
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Paper ID:	1406 -JATIT-2K10
Title:	SECURITY PROBLEMS AND THEIR UPSHOTS IN ROUTING PROTOCOLS OF DHT BASED OVERLAY NETWORKS
Author:	ANIL SAROLIYA, VISHAL SHRIVASTAVA
Source:	Journal of Theoretical and Applied Information Technology Vol 18. No. 1 -- 2010
Abstract	Distributed hash tables (DHTs) are a very interesting research topic in the area of P2P overlay networks; such networks are becoming very popular in applications like file sharing. The purpose of the Distributed Hash Table is providing the way to search the resources (especially files) within a P2P network. A DHT protocol typically provides a single function to the P2P application: provide a key and find the node (or may be nodes) which is liable for such key [1][3]. All other functions (such as actually retrieving the resource or storing the resource on the node responsible for it) are provided by higher layers of the P2P application. In such paper our target is to find the security issues and resolve them on existing routing protocols of such networks. The Chord [4] (a DHT protocol) is chosen as the target protocol for various reasons it will be covered in this paper.
Keywords	peer-to-peer overlay networks, distributed hash tables, routing, security
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Paper ID:	1394 -JATIT-2K10
Title:	THE GRANULARITY APPROACH OF LEARNING OBJECTS TO SUPPORT ADAPTABILITY IN ADAPTIVE LEARNING SYSTEMS
Author:	BATTOU AMAL, EL MEZOUARY ALI, CHERKAOUI CHIHAB, MAMMASS DRISS
Source:	Journal of Theoretical and Applied Information Technology Vol 18. No. 1 -- 2010
Abstract	The main goal of this paper is to examine the fine granularity of learning content and its impact of the adaptability process in Adaptive Learning Systems (ALS). For that purpose, we present the concept and the essence of learning objects. Then, we approach some content models by clarifying the adopted levels of granularity and/or aggregation. After that, we discuss the fine-grained as a fundamental characteristic to reach the adaptability and individualization required in ALS. Finally, we propose our own model of learning objects by underlining the levels of granularity considered and by presenting a use case of its ability to meet the properties associated with fine-grained and adaptability.
Keywords	Adaptability, Learning Content, Adaptive Learning Systems, learning object, granularity, learning content
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Paper ID:	1370 -JATIT-2K10
Title:	EFFICIENT COLOUR IMAGE SEGMENTATION USING MULTI-ELITIST- EXPONENTIAL PARTICLE SWARM OPTIMIZATION
Author:	K.M.MURUGESAN, Dr. S. PALANISWAMI
Source:	Journal of Theoretical and Applied Information Technology Vol 18. No. 1 -- 2010
Abstract	Multi-Elitist Particle Swarm Optimization Algorithm (MEPSO) for Image cluster classification and segmentation was proposed in [2]. It employs a kernel-induced similarity measure instead of the conventional sum-of-squares distance. Use of the kernel function makes it possible to cluster data that is linearly non-separable in the original input space into homogeneous groups in a transformed high-dimensional feature space. This particle representation scheme has been adopted for selecting the optimal number of clusters from several possible choices. In [3] we proposed exponential particle swarm optimization (EPSO). EPSO has a great impact on global and local exploration it is supposed to bring out the search behaviour quickly and intelligently as it avoid the particles from stagnation of local optima by varying inertia weight exponentially, so that the movement of the particles will be faster and distant from each other. The aim of the above two enhanced Particle swarm techniques were to produce a fuzzy system for color classification and image segmentation with least number of rules and minimum error rate. The enhanced PSO techniques are used to find optimal fuzzy rules and membership functions. The best fuzzy rule is selected for image segmentation. The enhanced PSO techniques give best rule set than standard PSO.In this paper we combined both the technique to produce better result than the two individual techniques. We call this PSO as MEEPSO (Multi elitist exponential particle swarm optimization).We implement and evaluate the effectiveness of this new enhanced PSO techniques and prove that the proposed PSO technique is better than existing two enhanced PSO techniques.
Keywords	PSO, EPSO, MEPSO, MEEPSO, Colour, fitness, Classification, Fuzzy Logic, Image Segmentation, fitness, global best, local best
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Paper ID:	-JATIT-2K10
Title:	A STEGANOGRAPHY SCHEMA AND ERROR-CORRECTING CODES
Author:	M. B. Ould MEDENI, El Mamoun SOUIDI
Source:	Journal of Theoretical and Applied Information Technology Vol 18. No. 1 -- 2010
Abstract	The idea of "Matrix encoding" was introduced in steganography by Crandall in 1998 [6]. The implementation was then proposed by Westfeld with steganography algorithm F5 [1]. The objective is to transmit a message within an image, but with the constraint of minimizing the number of changed coefficients of this image. In this paper, a new construction of steganography protocol is considered, which is an extension of the error correcting code and steganography construction. The proposed method consists of use the Majority logic decoding introduced in [5], for embedding the message in the cover image, the extraction function is always based on syndrome coding. An asymptoticly tight bound on the performance of embedding schemes is given.
Keywords	Steganography, Error correcting code, Majority logic decoding average distortion, matrix encoding, embeding efficient.
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Paper ID:	1096 -JATIT-2K10
Title:	DEVELOPMENT OF AND USABILITY FINDINGS FOR A WEB-BASED OSTEOARTHRITIS GUIDE
Author:	GITESH K. RAIKUNDALIA, JOANNE TROPEA, CHRISTOPHER A. BAIN, JIM BLACK, CAROLINE BRAND
Source:	Journal of Theoretical and Applied Information Technology Vol 18. No. 1 -- 2010
Abstract	Osteoarthritis (OA) of the knee and hip causes significant loss of quality of life due to pain, reduced mobility and limited ability to perform usual daily activities. OA is a chronic, debilitating condition that affects up to 18 percent of those aged 65 years and over. The traditional approach to treating this condition has been to involve a number of different healthcare providers, such as specialist doctors, general practitioners, nurses, physiotherapists, dieticians, etc. In addition to healthcare provider care, a patient education and OA self-management system (in the form of a web guide) could possibly also assist sufferers to manage their condition. This paper describes the OA web guide we have developed. It covers the functionality of the system using the various user interfaces of the guide. A usability experiment was performed with OA experts and end-users to determine the effectiveness of the system and to learn how to improve such a system. The paper also describes the usability experiment and conveys our findings from the experiment.
Keywords	Osteoarthritis, Web guide, usability experiment, heuristic evaluation, patient education
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Paper ID:	1338 -JATIT-2K10
Title:	RECTANGULAR MICROSTRIP PATCH ANTENNA ON LIQUID CRYSTAL POLYMER SUBSTRATE
Author:	B.T.P.MADHAV, PROF. VGKM PISIPATI, K V L BHAVANI, P.SREEKANTH, P. RAKESH KUMAR
Source:	Journal of Theoretical and Applied Information Technology Vol 18. No. 1 -- 2010
Abstract	Patch antennas are one of the most attractive antennas for integrated RF front end systems due to their compatibility with microwave integrated circuits. To fulfill the demand of integrated RF front end systems, a design of microstrip patch antenna with optimum performance at 12 GHz is investigated. It is also investigated how the performance properties of a microstrip patch antenna are affected by varying the dielectric constant of substrate and width to length ratio of the patch. In this present work a liquid crystal polymer substrate with dielectric constant of 3.1 is taken and the total simulation is done using the software Ansoft-HFSS.
Keywords	Microstrip patch, LCP Substrate
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Paper ID:	1405 -JATIT-2K10
Title:	AN IMPLEMENTATION OF WEB PERSONALIZATION USING WEB MINING TECHNIQUES
Author:	A.JEBARAJ RATNAKUMAR
Source:	Journal of Theoretical and Applied Information Technology Vol 18. No. 1 -- 2010
Abstract	Web mining is the application of data mining techniques to extract knowledge from Web. Web mining has been explored to a vast degree and different techniques have been proposed for a variety of applications that includes Web Search, Classification and Personalization etc. Most research on Web mining has been from a ‘data-centric’ point of view. In this paper, we highlight the significance of studying the evolving nature of the Web personalization. Web usage mining is used to discover interesting user navigation patterns and can be applied to many real-world problems, such as improving Web sites/pages, making additional topic or product recommendations, user/customer behavior studies, etc. A Web usage mining system performs five major tasks: i) data gathering, ii) data preparation, iii) navigation pattern discovery, iv) pattern analysis and visualization, and v) pattern applications. Each task is explained in detail and its related technologies are introduced. The Web mining research is a converging research area from several research communities, such as Databases, Information Retrieval and Artificial Intelligence. In this paper we implement how Web mining techniques can be apply for the Customization i.e Web personalization.
Keywords	Usage Mining, Navigation Patterns, Pattern Analysis, Content Mining, Structure Mining
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