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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 December 2011 | Vol. 34 No.2

Paper ID:	14655 -JATIT
Title:	FLUX-WEAKENING CONTROL OF PERMANENT MAGNET SYNCHRONOUS MACHINES
Author:	H. MAHMOUDI , A. LAGRIOUI
Source:	Journal of Theoretical and Applied Information Technology pp 110 - 117 Vol 34. No. 2 -- 2011
Abstract	In this paper, a robust flux-weakening control scheme of PM synchronous machines is studied. Based on a novel current control concept, a speed/flux-weakening controller (SFWC) is proposed for the flux-weakening control of PMSM. Comprehensive analysis is conducted on the operations of PMSM controlled by SFWC in the flux-weakening region. Small-signal method is used to investigate the flux and torque controllability of SFWC. The current vector trajectories are modeled and illustrated in the rotor reference frame, with special attention to SPM motors. Efficiency-optimized design is performed on the selection of a newly introduced voltage constant. The Simulation results are provided to demonstrate the feasibility of the proposed control concept.
Keywords	Speed/Flux-Weakening Controller (SFWC), permanent magnet synchronous machine (PMSM) Matlab/Simulink.
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Paper ID:	14280 -JATIT
Title:	COMPARISON OF FULL BRIDGE AND TWO INDUCTOR BOOST CONVERTER SYSTEMS
Author:	G. KISHOR, D.SUBBARAYUDU, S. SIVANAGARAJU
Source:	Journal of Theoretical and Applied Information Technology pp 118 - 124 Vol 34. No. 2 -- 2011
Abstract	The DC-DC converter topologies have received increasing attention in recent years for high power and high performance applications. The advantages of DC-DC boost converters include increased efficiency, reduced size, reduced electromagnetic emission, faster transient response, and improved reliability. The front end inductors in a boost converter are magnetically coupled to improve electrical performance and reduce size and weight. It features several merits such as multiple-output capability with one shared choke, single-stage energy processing and good input current shaping ability. This paper compares conventional boost converter and two inductor boost converter designed for high voltage and high power applications. Results of conventional boost converter are compared with two inductor boost converter.
Keywords	Comparison, Power Factor, Two Inductor Boost Converter, Bridge
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Paper ID:	14341 -JATIT
Title:	MOBILE LEARNING TECHNOLOGY: A NEW STEP IN E-LEARNING
Author:	Dr. TAYSEER ANDRAWES SALEEM
Source:	Journal of Theoretical and Applied Information Technology pp 125 - 137 Vol 34. No. 2 -- 2011
Abstract	The objective of the current study was to develop a cognitive system, in which the characteristics of mobile learning technology, its nature, context and benefits are presented. The majority of previous literature has an agreement that mobile learning is one form of teaching learning processes possessing similarities and differences with e- learning. It is mainly based on the concept of wire and wireless communication technologies, as the individuals learner can access the learning material, lectures and seminars whenever he desires and wherever he was, whether inside the classroom or outside it. This creates therefore a new learning environment in the context of the different learning settings. Such settings are based on the interactive cooperative learning, the facility to share information within the individual learners, and between the learners and the lecturer or teacher. It was found that the main challenges hindering the implementation of mobile learning in education range between the access to protection technologies for the learning content, the availability of adequate devices to perform the tasks targeted by the use of mobile learning, their storage capacity, their loadings, in addition to other educational challenges mainly concerned with the designing the educational programs able to meet the requirements of mobile learning and able to consider the individual differences between the individual learners. Finally, other obstacles such as lack of computer literacy between both the teachers and students populations, their underestimation to the value of such learning technology, the high cost for the inputs of such learning technology, lack of appropriate integrated educational strategies to ensure the adoption of such learning technology were all some of the main obstacles hindering the implementation of such technology in the different educational domains. The study concluded with the need to reconsider the inputs of the teaching process and the methods used in it to be better able to absorb the technological and cognitive revolution in communities, and thus be able to address the different needs of students' populations and to keep abreast with the modern communities we all live in nowadays.
Keywords	Leaning technology, E-Learning, Mobile Learning, Wireless Learning Environment, Wireless Revolution
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Paper ID:	14369 -JATIT
Title:	USING INFORMATION THEORY IN PATTERN RECOGNITION FOR INTRUSION DETECTION
Author:	MEYSAM. MADANI, ALIREZA. NOWROOZI
Source:	Journal of Theoretical and Applied Information Technology pp 138 - 142 Vol 34. No. 2 -- 2011
Abstract	There are so many methods of pattern recognition for a dataset, but some datasets are special! KDDCUP 99 dataset have some properties that can help us to do a better pattern recognition. For example there are many unused future that can be omitted in some manner, moreover when we want to do pattern recognition for a particular goal such as finding attacks we can find the relevant futures for any attack by information theory and just use these futures to detect attacks. we do pattern recognition for any attack by a simple way and after all we combine these results to deduce the final result.
Keywords	Intrusion Detection Systems (IDS), Pattern Recognition, Partitioning, Kddcup99
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Paper ID:	14806 -JATIT
Title:	THE PERSPECTIVES, MOTIVATORS AND CHALLENGES OF OFFSHORE SOFTWARE DEVELOPMENT
Author:	FARRUKH SHAHZAD AHMED, SHAHBAZ AHMED, AMMAD ASLAM, FALAK SHER
Source:	Journal of Theoretical and Applied Information Technology pp 143 - 150 Vol 34. No. 2 -- 2011
Abstract	Software project offshoring is a rapidly growing trend. With this rapid growth, the software engineering research community is facing many challenges like cultural differences, linguistic problem etc because offshore software development is largely different from co-located software development OSD. This variance in software development nature has introduced many challenges. One of them is communication gap between client and offshore vendor. The literature evidences indicate that many problems like time delays, over budgeting etc are directly rooted from this communication gap and some new risks are also introduced by poor communication in OSD offshore software development [5, 7]. In this paper we have highlighted different perspectives, and motivators of OSD. We have emphasized on the significance of some OSD challenges and especially focused on communication problems between client and offshore vendor along with suggested future work.
Keywords	OSD, Offshore Communication, Offshoring, Offshore Outsourcing, Client-Vendor, Offshore Vendor
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Paper ID:	14579 -JATIT
Title:	DESIGN AND ANALYSIS OF SECURED ELECTRONIC VOTING PROTOCOL
Author:	KALAICHELVI V , Dr.RM.CHANDRASEKARAN
Source:	Journal of Theoretical and Applied Information Technology pp 151 - 157 Vol 34. No. 2 -- 2011
Abstract	Electronic Voting can play a really vital role in the democracy of our life. In this paper, we propose an electronic voting protocol. Our scheme does not require a special voting channel and communication can occur entirely over the current Internet. This method integrates the Internet convenience and cryptology. This paper analyzes the various existing protocols such as simple protocol, Two Agency protocol, Blind Signature Protocol and Sensus Protocol. In the existing protocol the Tallier has to wait until the decryption key is received from the voter. So it will consume lot of time. Instead of getting the decryption key value from the voter, the Tallier maintains the key information securely in the database. So, comparatively the proposed protocol consumes less time. This paper also analyzes the various security issues involved in an electronic voting like security, privacy, authentication, anonymous, uniqueness, accuracy, fairness, efficiency and enforcibility.
Keywords	E-voting, Security, Privacy, Anonymity and Internet
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Paper ID:	14581 -JATIT
Title:	ONTOLOGY-BASED CONTEXT MODELING FOR VEHICLE CONTEXT-AWARE SERVICES
Author:	MOHCINE MADKOUR, ABDELILAH MAACH
Source:	Journal of Theoretical and Applied Information Technology pp 158 - 166 Vol 34. No. 2 -- 2011
Abstract	Computing becomes increasingly mobile and pervasive today; these changes imply that applications and services must be aware of and adapt to their changing contexts in highly dynamic environments. Now a days, vehicles have become an increasingly important and exciting test bed for ubiquitous computing (UbiComp), however, context-aware vehicle service to enable high adaptation of service to driver, vehicle or even road in ubiquitous environment is still little addressed in the literature. The context management in pervasive computing environments must reflect the specific characteristics of these environments, e.g. mobility, resource-constrained devices, or heterogeneity of context sources. Although a number of context models have been presented in the literature, none of them supports all of these requirements to a sufficient extent at the same time. This paper focuses on building an ontology modeling approach for Context Management in Intelligent Pervasive Middleware for Context-Aware Vehicle Services. To support context-awareness, we embed capabilities of context modeling and context reasoning in an ontology-based context system, which focuses on management of the context and generates a consistent model which promises the common information representation and facilitates a development of context-aware services.
Keywords	Intelligent Vehicle, Intelligent Transportation Systems, Ontology modeling, Ubiquitous Computing, Context-aware service
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Paper ID:	14594 -JATIT
Title:	WELD DEFECT DETECTION IN RADIOGRAPHY BASED ON PROJECTION PROFILE AND RST INVARIANT BY USING LVQ
Author:	Dr.V. VAITHIYANATHAN, Dr.B. VENKATARAMAN, ANISHIN RAJ M.M
Source:	Journal of Theoretical and Applied Information Technology pp 167 - 172 Vol 34. No. 2 -- 2011
Abstract	X-ray radiography is commonly used in (NDT) Non-destructive Testing, for identifying defects in weld. When the X-ray is passed through the weld object, the area where the defects are occurred will be having different intensity profile, than the nearby pixels. Most of the X-ray radiographic images will be having some forms of noise components embedded in it. Median filter is applied for noise removal, followed by gamma correction for image enhancement which made the image more operative. For the segmentation of the weld defect, watershed method is performed. Through watershed segmentation process, the defective regions are segmented out, without oversegmentation problem. Standard derivation and mean of the Projection Profile of the radiographic image along with RST invariants features are used for feature extraction. In this work, we fed the feature extracted to a Learning Vector Quantization (LVQ) for training, with four different output classes, where each class corresponds to different classes or types of weld defects like Cluster Porosity, Slag inclusions, Lack of Penetration (LOP) and Burn-Through. The result shows that the proposed system is highly efficient in classifying different types of weld defects.
Keywords	Weld defects, Radiography, Learning Vector Quantization (LVQ), Watershed, RST invariant
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Paper ID:	14675 -JATIT
Title:	ASSOCIATION RULE MINING AND CLASSIFIER APPROACH FOR QUANTITATIVE SPOT RAINFALL PREDICTION
Author:	T.R. SIVARAMAKRISHNAN, S. MEGANATHAN
Source:	Journal of Theoretical and Applied Information Technology pp 173 - 177 Vol 34. No. 2 -- 2011
Abstract	Rainfall prediction is usually done for a region but spot quantitative precipitation forecast is required for individual township, harbours and stations with vital installation. A methodology using data mining technique has been tried for a coastal station, Cuddalore in East Coast of India and the results are presented here. The method gives good result for the prediction of daily rainfall 24 hours ahead. There are three main parts in this work. First, the obtained raw data was filtered using discretization approach based on the best fit ranges. Then, association mining has been performed on dataset using Predictive Apriori algorithm. Thirdly, the data has been validated using K* classifier approach. Results show that the overall classification accuracy of the data mining technique is satisfactory.
Keywords	Predictive Apriori Algorithm, K* Algorithm, Classification, Association Mining, Rainfall Prediction
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Paper ID:	14670 -JATIT
Title:	AN OVERVIEW OF PREPROCESSING OF WEB LOG FILES FOR WEB USAGE MINING
Author:	C.P. SUMATHI, R. PADMAJA VALLI , T. SANTHANAM
Source:	Journal of Theoretical and Applied Information Technology pp 178 - 185 Vol 34. No. 2 -- 2011
Abstract	With the Internet usage gaining popularity and the steady growth of users, the World Wide Web has become a huge repository of data and serves as an important platform for the dissemination of information. The users; accesses to Web sites are stored in Web server logs. However, the data stored in the log files do not present an accurate picture of the users; accesses to the Web site. Hence, preprocessing of the Web log data is an essential and pre-requisite phase before it can be used for knowledge-discovery or mining tasks. The preprocessed Web data can then be suitable for the discovery and analysis of useful information referred to as Web mining. Web usage mining, a classification of Web mining, is the application of data mining techniques to discover usage patterns from clickstream and associated data stored in one or more Web servers. This paper presents an overview of the various steps involved in the preprocessing stage.
Keywords	Web Server, Data Cleaning, User Identification, Session Identification, Path Completion
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Paper ID:	14677 -JATIT
Title:	EMPLOYING PERFORMANCE COUNTERS AND SOFTWARE WRAPPER FOR MEASURING QOS ATTRIBUTESOF WEB SERVICES
Author:	BAHAREH SADAT ARAB, ABDUL AZIM ABD GHANI
Source:	Journal of Theoretical and Applied Information Technology pp 186 - 194 Vol 34. No. 2 -- 2011
Abstract	Web services have got popular for developing Service-Oriented Architectures recently. As several web services are available to execute the same function, Quality of Service (QoS) turns into a discriminative factor which is significantly considered in service selection and service composition approaches. In different approaches, monitoring of services is used for evaluating QoS attributes. Custom Windows Performance Counters (CWPC) is one of the approaches for monitoring performance of services at server-side. However, it has some limitations and it needs to access and change a service implementation which is not always possible in practice. In this paper, CWPC along with software wrapper is employed for measuring different QoS attributes such as response time, throughput and reliability in order to overcome current limitations. Additionally, it discusses how the proposed monitoring mechanism can be employed to optimize the service provider performance. The results show that the proposed monitoring approach is accurate in measuring QoS attributes.
Keywords	SOA, Web Service; Monitoring; Quality Of Service; Qos Measurement; Performance Counter; Software Wrapper
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Paper ID:	14733 -JATIT
Title:	FUSION USING QUASILINEARIZATION TECHNIQUE FOR THE LIKELIHOOD RATIO BASED T2TA IN MULTI RADAR DATA FUSION
Author:	J.VALARMATHI, D.S.EMMANUEL, S.CHRISTOPHER
Source:	Journal of Theoretical and Applied Information Technology pp 195 - 201 Vol 34. No. 2 -- 2011
Abstract	Data fusion techniques combine data from multiple sensors, and related information from associated databases, to achieve improved accuracies and more specific inferences than could be achieved by the use of a single sensor alone. This paper presents the fusion using the generalized quasilinearization technique to obtain a monotone sequence of iterates, converging uniformly for the tracks, obtained after association. Likelihood ratio based cost for association with kinematic information [1] is used for track-to-track association (T2TA). These associated tracks and the fused track are smoothened using Kalman filter (KF). Simulated results through MATLAB are compared with the state vector fusion technique. The main advantage of the proposed method is that fusion follows the actual track where as conventional method results are based on the Kalman estimates.
Keywords	Quasilinearization Technique, Likelihood Ratio, T2TA, Kalman Filter
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Paper ID:	14743 -JATIT
Title:	LIGHTNING STRIKE MAPPING FOR PENINSULAR MALAYSIA USING ARTIFICIAL INTELLIGENCE TECHNIQUES
Author:	M.K.HASSAN, R. Z. ABDUL RAHMAN, A..CHE .SOH., M.Z.A..AB KADIR
Source:	Journal of Theoretical and Applied Information Technology pp 202 - 214 Vol 34. No. 2 -- 2011
Abstract	This research focuses on artificial intelligence (AI) techniques on mapping the lightning strike area in Peninsular Malaysia. Three AI techniques such as fuzzy logic, neural network and neuro-fuzzy techniques are selected to be explored in classifying the characteristics of lightning strike which are based on; level of strike (high, medium, low) and category of lightning (positive cloud-to-ground, negative cloud-to-ground, flash). Nine predefined areas in Peninsular Malaysia were chosen as a case study. The analysis was carried out according to twelve months lightning data strikes which had been made available by Global Lightning Network (GLN). All three AI techniques have successfully demonstrated the ability to mapping and classify lightning strikes. Each technique has shown very good percentage of accuracy in term of determining the area and characterizing the lightning strikes. The finding of this research can be made use in risk management analysis, lightning protection analysis, township planning projects and the like.
Keywords	Lightning Strike, Classification, Fuzzy Logic, Neural Network, Neuro-Fuzzy
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Paper ID:	14681 -JATIT
Title:	THE DESIGN OF BLOCK-BASED MASHUP TOOL FOR END-USERS MASHUP APPLICATIONS DEVELOPMENT
Author:	RODZIAH LATIH, 2AHMED PATEL, 3ABDULLAH MOHD. ZIN
Source:	Journal of Theoretical and Applied Information Technology pp 215 - 225 Vol 34. No. 2 -- 2011
Abstract	A mashup application is a web application that combines contents from several sources into an integrated web experience A mashup tool is a software tool to assist users in developing web mashup application. Most of these tools are developed by employing end-users development approaches such as scripting, wire, widget, spreadsheet, and Programming by Demonstration. However, although these tools are based on end-users development approaches, they are still difficult to be used by most of end-users since they require end-users to have some programming background. In this paper, we present the design of Whip mashup tool. The aim of this mashup tool is to allow end-users to develop web mashup application easily by using Block-Based Software Development approach. This development approach enables end-users to develop software or web applications by combining several programming blocks together.
Keywords	Web Mashup, Block-Based Software Development, End User Development, Web Services Aggregation
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Paper ID:	14634 -JATIT
Title:	A FUZZY-FAULT CLASSIFIER SYSTEM FOR MALFUNCTION TRAFFIC LIGHT SYSTEM CLASSIFICATION
Author:	AZURA CHE SOH, MOHD KHAIR HASSAN, RIBHAN ZAFIRA ABDUL RAHMAN
Source:	Journal of Theoretical and Applied Information Technology pp 226 - 240 Vol 34. No. 2 -- 2011
Abstract	The fuzzy-fault classifier (FFC) is a method which is employed as a subsystem in fault detection system. The system is normally utilized in a large and complex traffic light management system. This paper proposes a FFC system to classify the level of seriousness for traffic light failure based on two criteria which is faulty indication and road user manners. The system has been designed using 2-stage fuzzy approach techniques with two module classifications. The seriousness of the traffic light failures are classified to four conditions such as normal, non-critical, critical and highly-critical and a signal will be sent to the contractor and authority department via Short Message Service (SMS) for further action. The system has been testified using simulation and successfully implemented in Kuala Lumpur.
Keywords	Classification, Malfunction Of Traffic Light, Fuzzy-Fault Classifier, Fuzzy Technique
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