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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
September 2013 | Vol. 55 No.3

Title:	RESIDUAL USEFUL LIFE ESTIMATION BASED ON STABLE DISTRIBUTION FEATURE EXTRACTION AND SVM CLASSIFIER
Author:	BRAHIM CHOURI, FABRICE MONTEIRO, MOHAMED TABAA, ABBAS DANDACHE
Abstract:	The This paper deals with a data-driven diagnostic and prognostic method based on Stable distribution feature extraction and SVM Classier. The prognostic process of the proposed method is made in two steps. In the first step, which is performed online, the monitoring data provided by sensors are processed to extract features based on stable distribution, which are then used to learn SVM classifier that capture the time evolution of the degradation and therefore of the systems health state. In the second step, performed on-line, the learned models are exploited to do failure prognostic by estimating the assets current health state, its remaining useful life. The experiments on the recently published database taken from Pronostia of FEMTO, Prognostic data repository: Bearing data set, clearly show the superiority of the proposed approach compared to well establish method in literature.
Keywords:	Residual Useful Life, SVM, alpha stable, Bearing Prognostic
Source:	Journal of Theoretical and Applied Information Technology September 2013 -- Vol. 55. No. 3 -- 2013
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Title:	A NEW ALGORITHM FOR SELECTION OF BETTER K VALUE USING MODIFIED HILL CLIMBING IN K-MEANS ALGORITHM
Author:	G KOMARASAMY, AMITABH WAHI
Abstract:	The k-means algorithm is a popular clustering method for text and web collections. It gained its popularity due to its simplicity and intuition. The algorithm is an iteration procedure and requires that the number of clusters, k, be given a priori. This selection of k value itself is an issue and sometimes it is hard to predict before the number of clusters that would be there in data. This problem is resolved by using a metaheuristic method, the k means combined with Bat Algorithm (KMBA) that utilizes the echolocation behavior of bats. KMBA algorithm does not require the user is given in advance the number of cluster. However, this KMBA does not guarantee unique clustering because we get different results with randomly chosen initial clusters. The final cluster cancroids may not be the optimal ones as the algorithm can converge into local optimal solutions. So we blended k-means algorithm uses modified hill-climbing search to attempt to find the global optimal solution of the objective function. These Hill-climbing algorithms are iterative algorithms which make modifications that increase the value of their objective function at each and every step. The experimental result shows that proposed algorithm Modified Hill-climbing aided K-Means Algorithm (MHKMA) is better than the existing algorithm KMBA and ordinary k-means.
Keywords:	Bat Algorithm, Echolocation, Hill-Climbing Algorithm, Objective Function
Source:	Journal of Theoretical and Applied Information Technology September 2013 -- Vol. 55. No. 3 -- 2013
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Title:	EMBEDDED CONTROLLED FIVE LEVEL INVERTER BASED DYNAMIC VOLTAGE RESTORER
Author:	S.LEELA, S.S.DASH
Abstract:	This paper deals with the simulation and implementation of five level inverter based Dynamic Voltage Restorer(DVR). The control of DVR that injects a voltage in series with a distribution feeder is presented. DVR is a power electronic controller that can protect sensitive loads from disturbances in supply system. DVR can regulate the voltage at the load. The simulation results of five level inverter based DVR are presented. The spectrum for the output voltage is also presented. Laboratory model is developed and the experimental results are compared with the simulation studies.
Keywords:	Dynamic Voltage Restorer(DVR), Matlab simulink, Series Compensation, Five level inverter.
Source:	Journal of Theoretical and Applied Information Technology September 2013 -- Vol. 55. No. 3 -- 2013
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Title:	GATEWAY FOR BLUETOOTH AND CAN COMMUNICATIONS PROTOCOLS
Author:	EDGAR CANO, JUAN RUIZ, LUIS HUERTA
Abstract:	In many factory applications establishing communications between devices are traditionally implemented by wired links. The accessibility robustness of interface devices of CAN bus protocol is the mainly feature for its adoption by the automation market. But the wired networks are a disadvantage in installation and maintenance aspects, especially with fixed equipment where wires are in constant danger of breaking. In this paper, we propose a design of gateway to avoid communication between CAN bus and Bluetooth Piconet, with the main goal to provide way to solve and reduce the wired difficulties.
Keywords:	Bluetooth, Control Area Network (CAN), Embedded System, UML, Wireless Network
Source:	Journal of Theoretical and Applied Information Technology September 2013 -- Vol. 55. No. 3 -- 2013
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Title:	WEIGHTED TREE SIMILARITY SEMANTIC SEARCH FOR E-COMMERCE CONTENT
Author:	I MADE SUKARSA, I MADE BAYU DWI PUTRA, I GUSTI MADE ARYA SASMITA
Abstract:	This paper is to explain about e-commerce semantic search content. This Algorithm is using weight tree representation, TF-IDF calculation and cosine similarity. This method made the output of search result be more detail. Searched article is inputed to the system manually. Then, registered user or not, is able to do the article search on the system. Input from keywords inserted by the user processed by weighted tree calculation TF-IDF, and Cosine Similarity. The highest content weight will be displayed in on the highest list.
Keywords:	Semantic Search, Search Engine, Semantic Similarity ,TF-IDF, Weighted Tree Similarity
Source:	Journal of Theoretical and Applied Information Technology September 2013 -- Vol. 55. No. 3 -- 2013
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Title:	IMPROVEMENT WIRELESS DISTANT ACCESS (APPLICATION ON SENSORS NETWORKS)
Author:	N. MITTA, R. Elgouri, H. LAAMARI, M. BEN ATTOU
Abstract:	Generally, wireless sensors networks, and particularly those used in embarked computing, have answered with drastic temporal pressures. The optimization of the methods of access to the medium is the only way which push’s or set for bringing solution. Within effect, the technology IEEE 802.15.4 reposes on functionalities orientated to toward that problematic issue. However, a big number of holes unfortunately interfere and interrupt with that technology. A work of identification and resolution of these holes make the object of this article. In this objective, we propose an improvement of that method of access, where speech has given turn to every wireless sensor network that is economize energy.
Keywords:	LP-WPAN, QoS, MAC, 802.15.4, ZigBee, Wireless Sensors Networks, Economy Of Energy
Source:	Journal of Theoretical and Applied Information Technology September 2013 -- Vol. 55. No. 3 -- 2013
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Title:	IMPORTANT CONSIDERATIONS FOR AGILE SOFTWARE DEVELOPMENT METHODS GOVERNANCE
Author:	TAGHI JAVDANI GANDOMANI, HAZURA ZULZALIL, ABDUL AZIM ABDUL GHANI, ABU BAKAR MD. SULTAN
Abstract:	After introducing Agile approach in 2001, several Agile methods were founded over the last decade. Agile values such as customer collaboration, embracing changes, iteration and frequent delivery, continuous integration, etc. motivate all software stakeholders to use these methods in their projects. Moving to Agile methods needs a huge change in organization and involved people. This change is a fundamental and critical mutation. The main issue is that Agile transition and governance action plan needs to consider different aspects of change related issues. Conduction a Grounded Theory study with participation of 37 Agile experts from 13 countries showed that software companies should consider three main factors before inception of transformation action plan: Adoption styles, Method selection and Awareness of challenges and constraints. These fundamental considerations encompass many critical items for Agile movement and adoption process. However these items may lead to different results in different companies, but they should be studied in deep before any transition action plan.
Keywords:	Agile Software Development, Agile Transformation, Agile Transition, Agile Methods, Agile Adoption, Agile Governance
Source:	Journal of Theoretical and Applied Information Technology September 2013 -- Vol. 55. No. 3 -- 2013
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Title:	ARBITRARY SELECTION FOR AGITATE FLEXIBLE LOAD BALANCING IN HETEROGENEOUS PEER TO PEER NETWORKS
Author:	Mr. P. MURUGESAN , Dr. A. SHANMUGAM
Abstract:	Peer to Peer Network access is the integral part of the day to day business for most of the computer users. Preserving load balance on heterogeneous peer to peer networks is a challenging purpose and several existing works presented load redistribution algorithms for load division and load diversions at the instance the new peer enters. The aim of load balancing in P2P networks is to equilibrium the workload of the network nodes in quantity but lacks to eliminate traffic occurring in the routes of the P2P network efficiently. In this paper, the behaviors are characterized by eliminating the traffic using the Arbitrary Selection Load Balancing (ASLB) Approach with Tremendous Store model. Tremendous store model is investigated to extend the impact of node heterogeneity and agitate to the load distribution in P2P networks. The performance of the Arbitrary Selection Load Balancing (ASLB) Approach with Tremendous Store model reduces the network traffic routes with minimal cost of P2P in contrast to existing Saturn load balancing scheme. An analytical and empirical result offers a collision free system with the quantization of information by balancing the load in the P2P network system. Performance of the Arbitrary Selection Load Balancing is measured in terms of peer failure probability and traffic control efficiency.
Keywords:	Peer To Peer Network, Traffic Control, Load Balancing, Tremendous Store Model, Load Diversions, Arbitrary Selection, Heterogeneous, Failure Probability
Source:	Journal of Theoretical and Applied Information Technology September 2013 -- Vol. 55. No. 3 -- 2013
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Title:	ASSESSMENT OF GRAPH THEORY E-LEARNING UTILIZING LEARNING MANAGEMENT SYSTEM
Author:	BENS PARDAMEAN, TEDDY SUPARYANTO, RIFKY KURNIAWAN
Abstract:	This study evaluated the graph theory e-learning through the utilization of Learning Management System (LMS). In this study, the experimental group used the blended-learning method while the control group used the conventional learning method. Blended learning is defined as a combination between e-learning with LMS and conventional learning. T-test and Pearson's correlation analyses were performed. T-test method was used in order to determine the significant difference of scores between the experimental and the control groups. The result demonstrated that students in the experimental group performed significantly better than those in the control group. The pre-test scores in algebra, calculus, and discrete mathematics showed no significant differences across the board, demonstrating the homogeneity among both groups' participants. Furthermore, the study also utilized the Technology Acceptance Model (TAM) to measure user acceptance of the system. It was found that TAM can be considered as a valid instrument to assess the user acceptance of a system which in this study was the application of graph theory in LMS environment on a subject course at higher education level.
Keywords:	Graph Theory; E-Learning; Learning Management System; LMS; TAM
Source:	Journal of Theoretical and Applied Information Technology September 2013 -- Vol. 55. No. 3 -- 2013
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Title:	SOFTWARE QUALITY ENHANCEMENT FOR VALUE BASED SYSTEMS THROUGH STAKEHOLDERS QUANTIFICATION
Author:	MUHAMMAD IMRAN BABAR, MASITAH GHAZALI, DAYANG N.A. JAWAWI
Abstract:	Software quality assurance plays an important role to check the overall quality of the software product especially when a product is a value based system. The valuable software product or product line is tested under strict circumstances to meet the minimum constraints of software quality. This paper focuses on stakeholders, requirements engineering, different testing techniques being applied in software professional environment, issues and current trends to resolve the requirement problems for continuous software quality improvement. This paper presents the criticality of stakeholders, requirements and software testing techniques for software professionals in terms of quality assurance. A model is proposed in order to achieve a high quality value based software application. There is the dire need to integrate stakeholders, requirements and testing in order to evaluate the performance and quality of a value based system. A systematic stakeholder analysis framework does not exist, and there is the need of a systematic framework that may be adopted as a standard. This research also focuses on a systematic stakeholder’s identification and quantification framework.
Keywords:	Software Requirements, Stakeholders, Software Quality, Software Testing
Source:	Journal of Theoretical and Applied Information Technology September 2013 -- Vol. 55. No. 3 -- 2013
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Title:	AN INTEGRATED TECHNIQUE TO MAXIMIZE THE EFFICIENCY AND POWER FACTOR OF INDUCTION MOTOR
Author:	N.ANBALAGAN AND S. CHENTHUR PANDIAN
Abstract:	In this paper, an integrated technique to maximize the efficiency and power factor of induction motor is proposed. In the proposed method Artificial Bee Colony (ABC) algorithm is used to optimize the induction motor’s parameters like efficiency and power factor at particular loading points. From the optimized parameters the exact values can be predicted by using the Fuzzy Logic Controller (FLC) during the intermediate loading conditions, because the ABC parameters are not providing the exact parameters for all type of loading conditions. The proposed work is implemented using MATLAB/Simulink platform and performance of the proposed technique is evaluated. Finally, the power factor and efficiency of proposed technique is evaluated with ABC and FLC.
Keywords:	ABC, FLC, Induction Motor, Efficiency, Power Factor
Source:	Journal of Theoretical and Applied Information Technology September 2013 -- Vol. 55. No. 3 -- 2013
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Title:	CAPACITANCE REQUIRED ANALYSIS FOR SELF-EXCITED INDUCTION GENERATEUR
Author:	A. ABBOU, M. BARARA, A. OUCHATTI, M. AKHERRAZ, H. MAHMOUDI, Mohammed V University Agdal
Abstract:	The main drawback of induction generator in wind energy conversion systems applications is its need for leading reactive power to build up the terminal voltage and to generate electric power. Using terminal capacitor across generator terminals can generate this leading reactive power. The capacitance value of the terminal capacitor is not constant but it is varying with many system parameters like shaft speed, load power and its power factor. If the proper value of capacitance is selected, the generator will operate in self-excited mode. This paper presents direct methods derived from loop and nodal analyses to obtain different criteria for maintaining self-excitation and performance characteristics of an isolated, three-phase, self-excited induction generator (SEIG). Results of a detailed investigation on a conventional 3kW induction motor operated as a SEIG are presented to illustrate the effectiveness of the proposed method.
Keywords:	Capacitance Requirements, Self-Excitation, Study State Analysis, Induction Generator
Source:	Journal of Theoretical and Applied Information Technology September 2013 -- Vol. 55. No. 3 -- 2013
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Title:	APPLICATION OF SWALLOWTAIL CATASTROPHE THEORY TO TRANSIENT STABILITY ASSESSMENT OF MULTI-MACHINE POWER SYSTEM
Author:	BUGIS I., MAITHEM HASSEN KAREEM
Abstract:	Transient stability analysis is an important part of power planning and operation. For large power systems, such analysis is very demanding in computation time. On-line transient stability assessment will be necessary for secure and reliable operation of power systems in the near future because systems are operated close to their maximum limits. In this manuscript swallowtail catastrophe is used to determine the transient stability regions. The bifurcation set represents the transient stability region in terms of the power system transient parameters bounded by the transient stability limits. The transient stability regions determined are valid for any changes in loading conditions and fault location. The system modeling is generalized such that the analysis could handle either one or any number of critical machines. This generalized model is then tested on numerical examples of multi-machine power system (Cigre seven machine systems) shown very good agreement with the time solution in the practical range of first swing stability analysis. The method presented fulfills all requirements for on-line assessment of transient stability of power system
Keywords:	Swallowtail Catastrophe Theory, Distributed Generators, Generator Critical, Large Power System, Transient Stability Assessment
Source:	Journal of Theoretical and Applied Information Technology September 2013 -- Vol. 55. No. 3 -- 2013
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Title:	SPRINGBACK EFFECT PREDICTION IN WIPE BENDING PROCESS OF SHEET METAL: A GA-ANN APPROACH
Author:	S.PRAKASAM P.THANGAVEL
Abstract:	Sheet metal is one of the most important semi-finished products used in automobiles, domestic appliances, aircraft and other familiar products. Therefore sheet metal forming technology is an important engineering discipline in the area of mechanical engineering. In sheet metal forming, wipe bending process plays a major role in which the sheet metal tries to return to its original shape after release of the load by a punch, due to the elastic stresses. This phenomenon is called as springback and the angle between the target bend and the original after elastic release is called sprinback angle. Springback angle prediction is essential while engaging with such wipe bending processes. State of the art methods use Artificial Neural Network with conventional configuration for the prediction of springback angle. To improve the prediction efficacy, this paper exploits Genetic Algorithm to provide appropriate training to Artificial Neural Network. The experimental investigations show that the proposed ANN approach predicts more precisely compared to the conventional ANN approach.
Keywords:	Springback, Wipe Bending Process, Artificial Neural Network (ANN), Genetic Algorithm (GA), Prediction
Source:	Journal of Theoretical and Applied Information Technology September 2013 -- Vol. 55. No. 3 -- 2013
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Title:	USING TREND ANALYSIS AND SOCIAL MEDIA FEATURES TO ENHANCE RECOMMENDATION SYSTEMS: A SYSTEMATIC LITERATURE REVIEW
Author:	AHMED ADAM AHMED, NAOMIE SALIM
Abstract:	Recently, Recommendation Systems (RSs) became widely used applications to recommend items to users according to the preferences of users on items. This Systematic Literature Review (SLR) aims to collect evidence on ways of using social media and trend analysis to enhance RSs. Moreover, the research identifies the features of social media that can be used to enhance the efficiency and the effectiveness of RSs, identifies the ways to predict trends from social media and the ways of using the result of trend analysis to enhance the efficiency and the effectiveness of RSs. It classifies the collected evidence, reports the results of the classifications, and lists the features of social media that can be used to understand trends and the ways of using the trend analysis to enhance RSs
Keywords:	Prediction, Evaluation, Recommender Systems, Social Media, Trend Analysis.
Source:	Journal of Theoretical and Applied Information Technology September 2013 -- Vol. 55. No. 3 -- 2013
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