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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 May 2011 | Vol. 27. No.2

Paper ID:	14167 -JATIT
Title:	DIFFERENTIAL EVOLUTION OPTIMIZATION COMBINED WITH CHAOTIC SEQUENCES FOR OPTIMAL DESIGN OF SWITCHED RELUCTANCE MACHINE
Author:	M.BALAJI, V.KAMARAJ
Source:	Journal of Theoretical and Applied Information Technology Vol 27. No. 2 -- 2011
Abstract	This paper presents Differential Evolution (DE) algorithm combined with chaotic sequences for design optimization of Switched Reluctance Machine (SRM). Two differential evolution approaches based on chaotic sequences using logistic equation are proposed in this work. Stator and rotor pole arc of SRM considered as design variables with the objective of maximizing torque density, maximizing inductance ratio and minimizing copper loss. The feasibility of the proposed method is demonstrated for an 8/6, four-phase, 5 HP, 1500 rpm SRM and compared with classical differential evolution and Genetic Algorithm (GA) method. The results show that the proposed method is effective and robust.
Keywords	Differential Evolution(DE), Switched Reluctance Machine(SRM),Chaotic Sequences, Torque Density, Inductance Ratio
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Paper ID:	14188 -JATIT
Title:	EVALUATION OF SYNCHRONOUS GENERATOR REACTANCE USING FINITE ELEMENT METHOD (FEM)
Author:	B. Jagadeesh Chandra Prasad, Dr. B.V. Sanker Ram
Source:	Journal of Theoretical and Applied Information Technology Vol 27. No. 2 -- 2011
Abstract	For synchronous 3-phase electrical generator machine design, the ability to predict the synchronous reactance of a particular machine design is of prime importance. The synchronous reactance has a significant impact on the magnitude of the fault currents generated within the machine during an event such as a 3 phase short-circuit. Power system designers routinely use the generator synchronous reactance as a key parameter to aid in the design of the complete power generation system. For new generator designs the synchronous reactance is routinely tested for as part of a thorough evaluation of the generator performance characteristics. In the paper, the author is presenting comparatively the application of: numerical method based on the FEA of magnetic field distribution, computed by using FEM; analytical traditional method.
Keywords	Synchronous Generator, Reactance Evaluation, Numerical methods, Finite Element method (FEM)
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Paper ID:	14183 -JATIT
Title:	A NOVEL BASED APPROACH FOR UNCERTAIN DATA CLASSIFICATION USING PROBABILISTIC NEURAL NETWORKS
Author:	G.V.SURESH, K.SURESH BABU K.KARUNAKAR, N.VIJAYA KUMAR
Source:	Journal of Theoretical and Applied Information Technology Vol 27. No. 2 -- 2011
Abstract	Data uncertainty is common in real-world applications due to various causes, including imprecise measurement, network latency, out-dated sources and sampling errors. These kinds of uncertainty have to be handled cautiously, or else the mining results could be unreliable or even wrong. We propose that when data mining is performed on uncertain data, data uncertainty has to be considered in order to obtain high quality data mining results. We present a Probabilistic Neural Network model which is suitable for classiﬁcation problems. This model constitutes an adaptation of the classical RBF network where the outputs represent the class conditional distributions. Since the network outputs correspond to probability densities functions, training process is treated as maximum likelihood problem and an Expectation-Maximization (EM) algorithm is proposed for adjusting the network parameters. Experimental results show that proposed model exhibits superior classiﬁcation performance on uncertain data.
Keywords	Uncertain data, RBF Network, Maximum likelihood Problem Data Mining, Expectation-Maximization (EM) algorithm
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Paper ID:	14086 -JATIT
Title:	IMPROVING WEB QUERY PROCESSING THROUGH AN INTELLIGENT ALGORITHM FOR HETEROGENEOUS DATABASES
Author:	MOHD KAMIR YUSOF, FAISAL AMRI ABIDIN, SUFIAN MAT DERIS, SURAYATI USOP
Source:	Journal of Theoretical and Applied Information Technology Vol 27. No. 2 -- 2011
Abstract	Performance of web query processing becomes slow caused by increasing number of data. In this paper, intelligent algorithm was created to fix this problem. Four main components involved in this intelligent algorithm are assigning initial query, exploit query, assign to any possible query and query matching. Firstly, web user is needed to enter a keyword then this keyword automatically will assign as an initial query. After that, this initial query must be exploited before assigning process to any possible queries. These possible queries will match to existing query form temporary file that contains data schema and map to only select data sources. In this methodology, XML will use for mapping to heterogeneous databases. XML is really effective for mapping to heterogeneous databases. This methodology has been implemented in a prototype and applied to web queries. Another issue in with web query is difficult to search for information that best reflects the user’s need information. According this problem, intelligent algorithm was created and tested by developing simple application based on system architecture. This intelligent algorithm that was good for fixed problems by improving web query processing for heterogeneous databases. The intelligent algorithm was implemented and tested for heterogeneous database environment.
Keywords	Intelligent algorithm, Web query processing, XML, Heterogeneous Database
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Paper ID:	14160 -JATIT
Title:	STATE SPACE MODELLING AND SIMULATION OF CSI FED INDUCTION MOTOR DRIVE SYSTEM WITH A SIMPLIFIED PROGRAM
Author:	I. GERALD CHRISTOPHER RAJ, P. SOUNDAR RAJAN
Source:	Journal of Theoretical and Applied Information Technology Vol 27. No. 2 -- 2011
Abstract	This paper present the modelling and simulation of three phase PWM Current Source Inverter fed Induction Motor (CSI-IM) drive systems using state space representation and its implementation by means of Matlab/Simulink simulation software. Combining these powerful models with some matlab functions it is possible to obtain the ideal simulation platform for these systems. The main features of this type of simulation program are simplicity, accuracy and efficiency in terms of computation time. This simulation program can be used to verify the system design, to study system dynamic behavior and to investigate steady state waveforms of the drive system. In order to simplify the simulation process, different algorithms are developed for the simulation of different sections in the drive system. The feasibility, high reliability of the system and the validity of the control method are proved by the simulation results.
Keywords	CSI, Matlab, S-functions, Simulink, State Space
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Paper ID:	14217 -JATIT
Title:	Target Localization Accuracy using WiMAX Radar Networks
Author:	NIRMALENDU BIKAS SINHA, P. RAY, 1A. MITRA, D.GUHA MUSTAFI, R.BERA
Source:	Journal of Theoretical and Applied Information Technology Vol 27. No. 2 -- 2011
Abstract	Scientists have explored that WiMAX has the potential to enhance the performance of the radar networks. With the idea of implementing MIMO (multi-input multi-output) communication technology for overcoming the challenges offered by hostile channel and environmental effects. It leads the technocrats to utilize this technology in radar operations. WiMAX MIMO can exploit the range of WiMAX and the spatial diversity of MIMO radar. A WiMAX based MIMO radar system is introduced in this paper. In conventional radar, the target’s radar cross section (RCS) measurement at very low SNR level is very difficult and degrades the overall radar performance under mobile condition. This paper focuses on WiMAX-based passive radar design based on a MIMO-OFDM testbed for getting information about the nearby target vehicle. It also explores potential of MIMO radar regarding the probability of target detection in low signal to clutter ratio (SCR) level.
Keywords	WiMAX, MIMO, SCR, MISO, ITS, RCS
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Paper ID:	14214 -JATIT
Title:	DEVELOPMENT OF INFORMATION SYSTEM FOR MODELLING OF GRAIN SIZE DISTRIBUTION USING IDEF METHOD
Author:	SAŠA PUŠICA, 2ZORAN NIKOLIĆ, 3VELIMIR ŠĆEKIĆ
Source:	Journal of Theoretical and Applied Information Technology Vol 27. No. 2 -- 2011
Abstract	This paper is the result of a multidisciplinary application of information technology and statistical methods in the function for development of information systems for modelling the grain size distribution. Also, it is an initiative to stimulate the application of information technology and computer science in different scientific fields in order to promote the development of scientific and the general development of society. With regard to the objectives of the research, based on the theoretical basis of grain size distribution, statistical analysis and modelling, this paper presents the development of information systems for functional and information modelling the grain size of sample using IDEF methods.
Keywords	Functional modelling, Information modelling, Database, Objects, Entities, Relationships, Attributes, Activities, Model borders, Context diagram, Decomposition diagram, Activity tree, Grain size
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