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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 2015 | Vol. 82 No.3

Title:	DISOCIAL MEDIA SYNCHRONIZATION MODEL: IN ASSOCIATION WITH DEVELOPING SMALL MEDIUM ENTERPRISE’S SALES INFORMATION SYSTEM
Author:	ANANG SUBARDJO, MIA IKA RAHMAWATI, ANJIK SUKMAAJI
Abstract:	The development of internet technology and smart mobile phone is followed by the social media significant growth. Now in accessing facebook, twitter and other popular social media are easily at anytime and anywehere. It can be said that the role of social media in delivering information flow for start-ups, small medium enterprises (SMEs) and big-sized companies is becoming crucial than ever. Even more if the company could synchronize those disocial media into one solid platform, this leads to company’s additional value added. Since they offer efficiency and effectiveness in term of market its products and services penetratrions. The mechanism of disocial media synchronization is up-dating the content of one social media but it also integrate with other social media automatically. The purpose of this research is to develop disocial media synchronization (facebook and twitter) model that it can be associate with sales information system development of one particular Small Medium Enterprise (SME) in Indonesia. This synchronization definately increasing the Small Medium Enterprise’s advantages by decreasing the cost of marketing product significantly and improving the sales information system. The result of this research is a data flow diagram of disocial media synchronization model that in conjuction with sales information system development for Indonesian SME. It shows four main type of process, sales transactions; daily sales report; social media information and member register. The conclusion is the disocial media synchronization model could be claimed as the new platform in Indonesia. It is strongly believed that it would take Indonesian SME into another level of value added.
Keywords:	Disocial Media Synchronization Model , Sales Information System, Small Medium Enterprise
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2015 -- Vol. 82. No. 3 -- 2015
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Title:	GRAPH BASED GENE/PROTEIN PREDICTION AND CLUSTERING OVER UNCERTAIN MEDICAL DATABASES
Author:	SHAHANA BANO, K.RAJASEKHARA RAO
Abstract:	Clustering over protein or gene data is now a popular issue in biomedical databases. In general large set of gene tags are clustered using high computation techniques over gene or protein distributed data. Most of the traditional clustering techniques based on subspace, hierarchical and partitioning feature extraction. Various clustering techniques have been proposed in the literature with different cluster measures, but the performance is limited due to its spatial noise and uncertainty. In this paper, an improved graph based clustering technique was proposed to generate efficient gene or protein clusters over uncertain and noisy data. Proposed graph based visualization can effectively identify different types of genes or proteins along with relational attributes. Experimental results show proposed graph model effectively clusters the complex gene or protein data compare to conventional clustering approaches.
Keywords:	Biomedical, gene, protein, clustering, medline, pubmed, Synonym Identification
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2015 -- Vol. 82. No. 3 -- 2015
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Title:	TV WHITE SPACE DETECTION USING USRP
Author:	AMRITHA R, ANJALI T, ASWATHYLAKSHMI P, GREESHMA V, Dr T SUDHA
Abstract:	The burgeoning demand on radio spectrum owing to explosive development in wireless communication necessitates efficient use of the available frequency spectrum. But this need is at cross purposes with the present system of fixed spectrum allocation. The use of TV white space for communication is one way of circumventing this problem. In this paper a Universal Software Radio Peripheral (USRP) is employed to detect the unused spectrum in TV band. The USRP is a hardware platform for software radio.
Keywords:	Spectrum sensing, TV white space, Software Defined Radio (SDR), Universal Software Radio Peripheral (USRP)
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2015 -- Vol. 82. No. 3 -- 2015
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Title:	PERFORMANCE EVALUATION OF QUANTITATIVE METRICS ON ANCIENT TEXT DOCUMENTS USING MIGT
Author:	N. VENKATA RAO, Dr. A.S.C.S.SASTRY, Dr. A.S.N.CHAKRAVARTHY, A.V.SRINIVASA RAO
Abstract:	In the present world scenario Optical Character Recognition (OCR) has wide variety of applications in the text document image analysis for recognizing individual characters of any language. Digitizing the old documents is a tough job for preserving the essence of the documents to the coming eras. In this paper we are summarizing different image quantitative metrics for estimating the loss of information from the image after cleaning the noisy image by using anyone of the local or non-local thresholding techniques. The quality evaluations are made on 40 Telugu and English text documents after cleaning the documents with Modifies Iterative Global Threshold (MIGT) approach.
Keywords:	Thresholding Techniques, Digitization, Evaluation, Optical Character Recognition, Document Image Analysis
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2015 -- Vol. 82. No. 3 -- 2015
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Title:	A FUZZY LOGIC APPROACH TO MANAGE UNCERTAINTY AND IMPROVE THE PREDICTION ACCURACY IN STUDENT MODEL DESIGN
Author:	SALISU MUHAMMAD SANI, TEH NORANIS MOHD ARIS, NORWATI MUSTAPHA, MD NASIR SULAIMAN
Abstract:	The intelligent tutoring systems (ITSs) are special classes of e-learning systems developed using artificial intelligent (AI) techniques to provide adaptive and personalized tutoring based on the individuality of each student. For an intelligent tutoring system to provide an interactive and adaptive assistance to students, it is important that the system knows something about the current knowledge state of each student and what learning goal he/she is trying to achieve. In other words, the ITS needs to perform two important tasks, to investigate and find out what knowledge the student has and at the same time make a plan to identify what learning objective the student intends to achieve at the end of a learning session. Both of these processes are modeling tasks that involve high level of uncertainty especially in situations where students are made to follow different reasoning paths and are not allowed to express the outcome of those reasoning in an explicit manner. The main goal of this paper is to employ the use Fuzzy logic technique as an effective and sound computational intelligence formalism to handle reasoning under uncertainty which is one major issue of great concern in student model design.
Keywords:	Intelligent tutoring systems, Fuzzy Logic, Student Model, Uncertainty
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2015 -- Vol. 82. No. 3 -- 2015
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Title:	RESEARCH OF PROCESSES OF IDENTIFICATION, AUTHENTICATION AND AUTHORIZATION
Author:	AMANZHOLOVA S.T., KALIZHANOVA А.U., SHAIKULOVA А.А., KOZBAKOVA A. KH.
Abstract:	The article herein considers the issues of users’ identification. Aspects connected with identification, authentication and authorization are represented in the form of mathematical systems of queuing. The article uses single-channel two-phase and three-phase models. Simulation modeling is performed in the language GPSS World.
Keywords:	Mathematical Modeling, Two-Phase Modeling, Three-Phase Modeling, Simulation Modeling, Identification, Authentication, Authorization.
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2015 -- Vol. 82. No. 3 -- 2015
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Title:	A BACKPROPAGATION NEURAL NETWORK TO IMPROVE ARABIC STEMMING
Author:	KHALDOON MEZHER, NAZLIA OMAR
Abstract:	Stemming aims to identify the roots or stem of each word by eliminating the grammatical affixes or lexical information. Many approaches have been proposed in terms of stemming for various languages. Unlike English language, Arabic stemming is not a simple task of eliminating suffixes and prefixes. Arabic has a complex morphology where the process of stemming requires comprehensive analysis for such morphology. Several approaches have been proposed to enhance Arabic stemming. However, the state of the art of Arabic stemming algorithms such as Khoja and Light stemmer were built using rule-based approach. Hence, recent researches have attempted to examine the machine learning technique regarding to its capability of identifying word’s stem based on training. Nonetheless, there is still room for improvement in terms of addressing new features that have the ability to assign accurate weight for the words. In fact, assigning an accurate weight for the words plays an essential role in terms of classifying its actual root. Therefore, this study aims to develop a set of features that would enhance the process of weighting for words. The proposed set of features consists of affixes, word length and tenses. Then, the acquired weight that would be obtained from the proposed features will be entered as an input for a backpropagation neural network classifier in order to output the actual stem. The corpus that has been used in this study is an Open Source Arabic Corpus (OSAC), which consists of 21,861 documents that are distributed among multiple topics including economy, sport, social, religion, stories, health, law, astronomy and food recipes. Two stemmers i.e. Khoja and Light stemmers have been used as baseline for comparison with the proposed method. The experimental results have shown that the proposed method has outperformed both of Khoja and Light stemmers by achieving 88% precision and 82% recall. In addition, this study proposed a new sampling method in terms of Arabic stemming evaluation.
Keywords:	Arabic Stemming, Back-Propagation Neural Network, Feature Extraction, Arabic Morphology
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2015 -- Vol. 82. No. 3 -- 2015
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Title:	RESEARCH AND IMPLEMENTATION OF SECURITY FRAMEWORK FOR SMALL AND MEDIUM SIZED E-COMMERCE BASED ON SOA
Author:	Dr. ASHISH KR. LUHACH1, RAVINDRA LUHACH
Abstract:	This research paper focuses on the technical considerations for evaluating the E-commerce platform and proposed a logical security framework for small and medium sized E-commerce. The proposed logical security framework is inherited the benefits of Service Oriented Architecture (SOA) and presents an analysis of the eminent security attacks which can be prevented. The proposed logical security framework is implemented and validated on Oscommerce, an open source E-commerce. This paper also presents an analysis on the comparison between the proposed security framework and the security framework of the existing E-commerce systems such as Flipkart and Rechargeitnow. On the basis of comparison with existing security standards and validation of all the major computing attacks on the proposed security framework concludes that the proposed logical security framework helps enterprise to organize an absolute suite of amalgamated security architecture which protects E-commerce system based on SOA.
Keywords:	Service Oriented Architectures, Web Services, Encrypted Database, Security Attacks, and Legacy Systems
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2015 -- Vol. 82. No. 3 -- 2015
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Title:	A RELIABLE AND ENERGY EFFICIENT ROUTING ALGORITHM IN WSN USING LEARNING AUTOMATA
Author:	RAZIEH ASGARNEZHAD, NASER NEMATBAKHSH
Abstract:	In Wireless Sensor Networks (WSNs), the most important challenges are the bandwidth and energy limitations, network topology changes, and lack of fixed infrastructures. Flooding is a broadcasting method which is used in almost all existing routing protocols and suffers from the broadcast storm problem. It may result in excessive redundancy, contention, collision, and energy consumption. To solve these problems, a routing algorithm is a promising approach for reducing the broadcast routing which is usually used. WSNs need to send data reliably and decrease consumption energy nodes. This paper proposes a reliable and energy efficient routing algorithm in WSNs using learning automata. Multiple paths are used to increase reliability. We increase network effective lifetime using learning automata and appropriate probability function. The results of our proposed algorithm decrease the overall energy consumption and increase reliability in a WSN. The simulation results show that the proposed scheme outperforms the existing methods in terms of reliability and residual energy, and size.
Keywords:	Reliability, Energy Efficiency, Learning Automata, Routing, Wireless Sensor Network (WSN)
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2015 -- Vol. 82. No. 3 -- 2015
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Title:	APPLICATION OF GAME THEORY AND NEURAL NETWORK TO STUDY THE BEHAVIORAL PROBABILITIES IN SUPPLY CHAIN
Author:	Ilham SLIMANI, Ilhame EL FARISSI, Said ACHCHAB
Abstract:	As a review of game theoretic approach to optimize the logistic costs with the objective of modeling interactions among players in a basic supply chain, this paper focuses on a single channel, two-echelon supply chain with a retailer and his supplier of a one-product where careful attention is given to information sharing in general and demand forecasting in particular. Therefore, in the industrial world, firms cannot risk waiting for the actual demand to occur so they can react and determine the quantities to purchase, produce or deliver. Demand forecasts are important and necessary to any member of the supply chain as they gave them the advantage of planning and anticipating for future needs. However, demand forecasting is one of those crucial decisions where an error can cost too much. This is why we choose to implement the artificial neural network as a forecasting technique. Obviously the closest actor to the market i.e the retailer has the best view of demand levels than the supplier, so sharing demand information with the other actors has an impact on the performance of the whole supply chain but it is not necessarily the case since the retailer can choose to withhold this information. This is why we focus in this investigation on the demand’s prediction when information is not shared using the artificial intelligence of neural networks.
Keywords:	Supply chain management, Game theory, demand forecasting, Asymmetric information, Demand uncertainty, Neural network.
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2015 -- Vol. 82. No. 3 -- 2015
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Title:	SCALE TO DISEASE PRONENESS (SDP) & SCALE TO DISEASE INEPTNESS (SDI): DESIGN OF HEURISTIC METRICS TO ASSESS HEALTH CONDITION TOWARDS HEART DISEASE PRONENESS
Author:	RAMANA NAGAVELLI, DR.C.V.GURU RAO
Abstract:	The early stage diagnostics of heart disease is a challenging task. The interdependent and high complexity characteristics and factors related to heart disease combined with human constraints contribute towards the necessity of intelligent medical systems. In this paper we design heuristic metrics for predicting patterns of heart disease, the Scale to Disease Proneness (SDP) metric and Scale to Disease Ineptness (SDI) metric. The prediction system to be efficient in the performance and the scalability requirements has to select an optimal set of attributes from the data for which in our approach we make use of canonical correlation analysis. The test outcomes shown that the heuristic scales SDP and SDI devised here in this paper delivered optimal performance towards predication accuracy, also scalable and robust in the context of computational and process complexity. The approach tends to deploy easily to focus according to individual risk levels of the disease.
Keywords:	Health Mining, DDP, SDP, SDI, Disease prediction, Decision Support System, Machine Learning
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2015 -- Vol. 82. No. 3 -- 2015
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Title:	SMOOTHING TECHNIQUES EVALUATION OF N-GRAM LANGUAGE MODEL FOR ARABIC OCR POST-PROCESSING
Author:	AHMED FARIS RAAID AL-MASOUDI, HISHAM SALAM RAFID AL-OBEIDI
Abstract:	N-gram language model is used to correct the errors that resulted from Optical character recognition process. However, the major problem facing N-gram language modeling is that it depends on finite training corpus. Therefore, some words will be missed from the corpus. They are called unknown words. If any N-gram is missing, then the language model will assign a probability of zero to it. Smoothing is a task used to prevent assigning zero probability for missing N-gram in corpus. Each smoothing technique suffers different limitations, and selecting the appropriate smoothing technique depends on where it will be used. Therefore, the purpose of this study is to test these techniques on Arabic dataset, and determines which one of the techniques is the best for this language. This study evaluates the performance of four main smoothing techniques. The experimental results show that all smoothing techniques can reduce error rate. However, the best among them is the Katz Backoff technique.
Keywords:	Smoothing Techniques, N-gram Language Model, Performance Evaluation, OCR, Arabic Language
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2015 -- Vol. 82. No. 3 -- 2015
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Title:	SOFTWARE DEFECT PREDICTION USING PARTICIPATION OF NODES IN SOFTWARE COUPLING
Author:	MARYAM SHEKOFTEH, KEYVAN MOHEBBI, JAVAD KAMYABI
Abstract:	Testing is the best way to ensure software quality. However, this activity makes a huge challenge about limited time and financial resources. In order to achieve high quality, managers need to detect the defect prone parts of code and allocate the resources to them. Although many metrics, techniques and models have been proposed, effective identification of such parts is still a challenge. In this paper two new metrics, namely PIEDG and PIMDG are proposed for predicting defects based on dependency between the file level components of the code. The proposed metrics use the notion of participation of nodes in the software dependency graph to recognize the parts of the code which possess defects. This research also investigates the effect of ego graph on the software dependency global graph. The feasibility of the software defect predictor which is built based on the proposed metrics is evaluated. The experiments over the Eclipse bug dataset demonstrate promising results in anticipation of the software defects.
Keywords:	Defect, Prediction, Software, Metrics, Dependency Graph
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2015 -- Vol. 82. No. 3 -- 2015
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Title:	INVESTIGATING THE RELATIONSHIP BETWEEN SOFTWARE DEFECT DENSITY AND COST ESTIMATION DRIVERS: AN EMPIRICAL STUDY
Author:	FADI WEDYAN, HANI BANI-SALAMEH, WAJEEHA AL-AJLOUNI, SHIRIN AL-MANAI
Abstract:	This paper reports the results of an empirical study, where some hypotheses about the relationship between software quality, expressed in terms of defect density, and cost estimation drivers (cost factors) are assessed. The study is performed using three cost factors, these are: work effort, project size, measured in terms of function points, and average assigned work per team member. The study is performed using the ISBSG repository data set release 12. ISBSG dataset which contains 6006 completed project. For statistical analyses, Regression Analysis and stepwise Analysis of Variance (ANOVA) are used. Our results show that there is a significant negative impact of the project size and work effort on the defect density. On the other hand, the average assigned work per team member has a significant positive impact on defect density. These results suggest that while assigning resources to a project, these quality factors should be considered in order to decrease the defect density, and thus, the maintenance cost of the product.
Keywords:	Cost Estimation drivers, Defect Density, Empirical Study, ISBSG Repository, Software Quality
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2015 -- Vol. 82. No. 3 -- 2015
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Title:	MULTIBAND SLOTTED APERTURE ANTENNA WITH DEFECTED GROUND STRUCTURE FOR C AND X-BAND COMMUNICATION APPLICATIONS
Author:	K V L BHAVANI, HABIBULLA KHAN, B T P MADHAV
Abstract:	A series of simulations and investigations of slotted microstrip patch antennas with defected ground structure are presented in this work. The analysis includes the effects of varying the dimensions of the feed line, patch and the ground plane. All the investigated antennas are showing good bandwidth enhancement with microstrip feeding method. In this study, different shapes of slots, in U-shape and L-shape are taken in to the account. Among all the examined antennas, proposed slot microstrip patch antenna of dimensions 15X20X1.6 mm with additional slot apertures of U and L combination is providing excellent radiation characteristics at lower frequency band of communication systems.
Keywords:	Communication Systems, Defected Ground Structure (Dgs), Multiband Antenna, Slotted Aperture, Micro Strip Patch Antenna (Mspa).
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2015 -- Vol. 82. No. 3 -- 2015
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Title:	EVALUATION MODEL OF SUCCESS AND ACCEPTANCE OF E-LEARNING
Author:	I PUTU RAMAYASA
Abstract:	E-Learning is a information technology-based learning, allowing participants to access and acquire learning services using the Internet media. Implementation system of e-learning has been widely used in college. The success or failure of the implementation of e-learning system is highly dependent on the level of success and acceptance user. To identification the factors that influence the success and acceptance of e-learning systems in higher education, this research proposes an integrated evaluation model using a Model DeLone and McLean Information system sucses models, UTAUT Model, and HOT-Fit Model. This research is important to be conducted in order to know the success and acceptance of E-Learning in University in order to be able to get evaluated. Results of this study was to describe the factors that influence the success of information systems and user acceptance of the e-learning system and can describe the correspondence between man, technology and organization to the E-Learning users respondent to know the success and acceptance of E-Learning in University.
Keywords:	E-learning, Delone And Mclean Sucses Models, UTAUT Model, And HOT-Fit Model, Integrated Evaluation Model
Source:	Journal of Theoretical and Applied Information Technology 31^st December 2015 -- Vol. 82. No. 3 -- 2015
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