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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 January 2011 | Vol. 23. No.1

Paper ID:	1550-JATIT
Title:	REAL TIME WARNING SYSTEM DESIGN FOR WEB DEFACE BASED ON SHORT MESSAGE SERVICE
Author:	ERI PRASETYO WIBOWO, FITRAH ELLY FIRDAUS, METTY MUSTIKASARI
Source:	Journal of Theoretical and Applied Information Technology Vol 23. No. 1 -- 2011
Abstract	Currently the internet is becoming more important in many aspects of human life. The number of people who use the internet in daily activities is also increasing. The rapid growing of computer networks and the interconnection among them has entailed some security problems. There are a growing number of bad-intentioned people trying to take advantage of the security problems. In the manner of existence problem, then needed a certain warning system which can prevent or give warning for crime possibility in the web. This paper proposes a system design to protect system from intruders and develop warning system via short messages service.
Keywords	Agent systems, Short Message Service, Warning System, Intrusion Detection System
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Paper ID:	1557 -JATIT
Title:	INFORMATION SYSTEM FOR MODELING THE GRAIN SIZE DISTRIBUTION
Author:	SAŠA PUŠICA, , ZORAN NIKOLIĆ, VELIMIR ŠĆEKIĆ
Source:	Journal of Theoretical and Applied Information Technology Vol 23. No. 1 -- 2011
Abstract	Grain size distribution is very important characteristic of primary and secondary materials, but also for the material in pharmacy, agriculture, chemical industry and in many other branches of science. Usually is presented with graphical methods. In the middle of last century, several authors have proposed several different models of analytical presentation of grain size distribution, which are based on the principle of graphical determination of these models. Using computer science, statistical analysis and information technology, we can improve the development of these models and this paper will show the method for development of information system for modeling the grain size distribution.
Keywords	Information System, Modeling, Grain Size
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Paper ID:	1587 -JATIT
Title:	COMPREHENSIVE ANALYSIS OF COMPLEX DATA STRUCTURES FOR GRAPH DATA MINING
Author:	K RAJENDRAN, Dr.T.VENUGOPAL, Dr.A.RAMA MOHAN REDDY
Source:	Journal of Theoretical and Applied Information Technology Vol 23. No. 1 -- 2011
Abstract	Various methods and techniques are prevailing for processing data to extract useful knowledge; nevertheless they are accounted for business transaction databases. Much data exists in non-business domains also, where there is an ardent need of extracting knowledge. Knowledge is useful for understanding data concisely or comprehending the concepts in a precise manner. Relational characteristics in data complicate the representation, and can be eased through graph structures. As one of the most general forms of data representation, the graph easily represents entities, their attributes, and their relationships to other entities. Envisioning the scope of the problems related to graph data, a collection of representations in graph data mining leads to the development of reference framework. In this paper we propose an integrated analytical reference framework with a comprehensive study and empirical evaluation.
Keywords	Graph Data Mining, Information Theory, Knowledge Engineering
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Paper ID:	1592 -JATIT
Title:	CORRELATION COEFFICIENT MEASURE OF MULTIMODAL BRAIN IMAGE REGISTRATION USING FAST WALSH HADAMARD TRANSFORM
Author:	D. SASIKALA, R. NEELAVENI
Source:	Journal of Theoretical and Applied Information Technology Vol 23. No. 1 -- 2011
Abstract	A bundle of image registration procedures have been built up with enormous implication for data analysis in medicine, astrophotography, satellite imaging and little other areas. An approach to the problem of multimodality medical image registration is proposed, with a fundamental concept Correlation Coefficient, as a matching measure. It measures the statistical dependence or information redundancy between the image intensities of corresponding voxels in both images. Maximization of CC is a very broad and dominant norm. As no assumptions are made regarding the nature of this dependence and no limiting constraints are imposed on the image content of the modalities involved. The accuracy of the CC criterion is validated for rigid body registration of computed tomography (CT), and magnetic resonance (MR T1 and T2) images by comparison with the registration solution. Experimental results prove that subvoxel accuracy with the reference solution can be achieved completely automatically without any preprocessing steps that make this process ensemble for medical applications.
Keywords	Image Registration (IR), Multimodal Brain Images (MBI), Walsh Transform (WT), Fast Walsh Hadamard Transform (FWHT), Correlation Coefficient (CC).
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Paper ID:	1510 -JATIT
Title:	NEW WAVELET-BASED TECHNIQUES FOR EDGE DETECTION
Author:	YAHIA S. AL-HALABI, HESHAM JONDI ABD
Source:	Journal of Theoretical and Applied Information Technology Vol 23. No. 1 -- 2011
Abstract	Image segmentation and edge detection are of great interest in image processing prior to image recognition step. Segmentation process has an important application in Military, Biomedical, space, and environmental applications. In this paper, we applied the spatial domain methods, Thresholding and Edge based methods (Roberts operator, Sobel operator, Prewitt operator, and Laplacian operator). In this research, we found that using Fourier Transform in edge detection applications yields to a bad results and has a serious drawback. Wavelet transform plays a very important role in the image processing analysis, for its fine results when it is used in multi-resolution, multi-scale modeling. Unlike Discrete Cosine transforms or Fourier transforms, wavelet transform offers a natural decomposition of images at multiple resolutions. The resulting representation of wavelet transform provides an attractive tradeoff between spatial and frequency resolution where the human visual system can be better exploited. Also, wavelet transform reveals another important feature unfound in the conventional transforms in the sense that its basis function can be designed to exactly fit a given problem.. New two wavelet-based edge detection techniques have been presented in this paper. The first one is called RC-Algorithm and the second one is called RCD-Algorithm. These two techniques have proved better results than other old techniques. Edges extracted using RC-Algorithm and RCD-Algorithm, are sharpen more than edges extracted using other techniques. RCD-Algorithm gave better results than RC-Algorithm in most cases. The RC-Algorithm and RCD-Algorithm respond best even on low transitions. The RCD-Algorithm can handle noisier images better than other techniques.
Keywords	Thresholding, Segmentation, Wavelet, Roberts operator, Sobel operator, Prewitt operator, and Laplacian operator, RC-Algorithm and RCD-Algorithm, Fourier Transform,
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Paper ID:	14097 -JATIT
Title:	AN ENHANCED THREE LEVELS SECURITY POLICY
Author:	A. RADI, A. KARTIT, B. REGRAGUI, M. EL MARRAKI, 5A. RAMRAMI
Source:	Journal of Theoretical and Applied Information Technology Vol 23. No. 1 -- 2011
Abstract	Design and implementation of intrusion detection systems remain an important research issue in order to maintain proper network security. Despite the undeniable progress in the area of computer security there is still much to be done to improve security of today’s computer systems and so many mechanisms have been developed to assure its security. These systems are vulnerable to attacks from both non-authorized users (outsider’s attacks) as well as attacks from authorized users (insiders’ attacks) who abuse their privileges. Many researches have proved that more than 60% of the attacks come from the inside of the computer systems. In the previous article [1], we have proposed an exact algorithm for the deployment of security policies for single computer systems but in this paper, we will propose an approach for complex computer systems, base on a three levels security policy. Each level will protect the computer system from both outsiders’ attacks and insiders’ attacks. This global security policy will allow the administrator of the security systems not only to detect attacks, but also to warn him about this intrusion and forbid access to the whole networks.
Keywords	Security Policy, Intrusions Detection, Scenario, Alerts Correlation, Data Fusion, Attack Prevention.
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Paper ID:	1555 -JATIT
Title:	BEST TARGET PLATFORM FOR APPLICATION MIGRATION
Author:	MAHDI MALEKI , SHUKOR ABD RAZAK
Source:	Journal of Theoretical and Applied Information Technology Vol 23. No. 1 -- 2011
Abstract	This paper aims on finding common key factors between different platforms that must be considered in cross-platform application migration and the assigning of weight to each of individual factors. These are achieved through two surveys. This paper will propose a standard method /.for compatibility ratio measurement regarding the origin/source and destination platforms to help system administrators and IT managers to choose the best platform in migration projects.
Keywords	C++, Application Migration, Cross-Platform, Migration Issue, Legacy Application
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