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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
March 2015 | Vol. 73 No.2

Title:	AUDIO DATA AS AN ENCODING FOR COLOR QUICK RESPONSE CODE (CQR) 3D BARCODES
Author:	JUDE J.L. MARTINEZ
Abstract:	The goal of this paper is to discover and implement a method of encoding an audio data from a MIDI audio file format into a special type of Quick Response (QR) code 2D barcode called Color Quick Response (CQR) code which is a 2D barcode that has been extended into a 3D barcode system. The benefit of this research paper is; to show and explore the potential of using CQR code as a medium to encode audio files, which open the possibility to encode audio messages into a 2D barcode. By proving that it is possible to encode an audio data into a 2D barcode, it shows that there are unexplored potential uses for 2D barcodes other than just for typical Audio ID Date Capture (AIDC) uses or the more current trend mobile tagging, this research can also be a stepping stone for other future mass media applications wherein people can embed audio messages into 2D barcodes for mass media purposes. Utilizing 2D barcodes to encode audio data may also have the potential to counter audio piracy.
Keywords:	2D barcode, Quick Response (QR) code, Auto ID Data Capture (AIDC), Audio Encoding, Compression
Source:	Journal of Theoretical and Applied Information Technology 20^th March 2015 -- Vol. 73. No. 2 -- 2015
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Title:	INTEGRATED FRAMEWORK OF FEATURE SELECTION FROM MICROARRAY DATA FOR CLASSIFICATION
Author:	AHMED A. ABDULWAHHAB, MAKHFUDZAH MOKHTAR (Dr.) , M. IQBAL B. SARIPAN (Assoc. Prof Dr.) , MUHAMMAD HAFIZ B. ABU BAKAR (Dr.)
Abstract:	A DNA microarray has the ability to record levels of huge number of genes in one experiment. Previous research has shown that this technology can be helpful in the classification of cancers and their treatments outcomes. Normally, cancer microarray data has a limited number of samples which have a tremendous amount of genes expression levels as features. To specify relevant genes participated in different kinds of cancer still represents a challenge. For the purpose of extracting useful genes information from the data of cancer microarray, gene selection algorithms were examined systematically in this study and an integrated framework of gene selection was proposed. Using feature ranking based on absolute value two sample t-test with pooled variance estimate evaluation criterion combined with sequential forward feature selection, we show that the performance of classification at least as better as published results can be obtained on the therapy outcomes regarding breast cancer patients. Also, we reveal that combined use of different feature selection and classification approaches makes it feasible to select strongly relevant genes with high confidence.
Keywords:	Microarray, Gene Selection, Classification, Feature Ranking, Sequential Forward Feature Selection, Breast Cancer, Leukemia.
Source:	Journal of Theoretical and Applied Information Technology 20^th March 2015 -- Vol. 73. No. 2 -- 2015
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Title:	NEURAL NETWORK MODEL OF ARTIFICIAL INTELLIGENCE FOR HANDWRITING RECOGNITION
Author:	KULIK S.D
Abstract:	The problem of handwritten symbols recognition has been investigated in the paper. The main aim of this paper is to present a new neural network model (NNM) of artificial intelligence (AI) for handwriting recognition. The handwriting includes only Cyrillic capital and small letters of the Russian language. The recognition system consists of two subsystems: first neural network and second neural network. The neural networks we used for recognition of handwriting and in particular for gender classification (man or woman). The method (neural network technologies) has been applied successfully to design biometrical system for Automated Factographic Information Retrieval System (AFIRS). The neural network algorithm for handwriting recognition in AFIRS was developed. The experimental results were obtained. Experimental test of used techniques and the accuracy of recognition of a sex of the executor of the hand-written text received as a result of the test are described briefly.
Keywords:	Neural Network Model, Handwriting Recognition, Feature Extraction, Classification, Artificial Intelligence, Writer Verification
Source:	Journal of Theoretical and Applied Information Technology 20^th March 2015 -- Vol. 73. No. 2 -- 2015
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Title:	COMBINING THE METHODS OF FORECASTING AND DECISION-MAKING TO OPTIMISE THE FINANCIAL PERFORMANCE OF SMALL ENTERPRISES
Author:	JULIA IGOREVNA LARIONOVA, ANNA NIKOLAEVNA TIKHOMIROVA
Abstract:	Fluctuations in financial flows of small manufacturing enterprises often have a certain periodicity, which is associated with the specific production of a particular type of product. The need to take into account this fact determines whether a company has enough competent staff to make informed decisions about the goods production policy. In this regard, the promising areas for financial analysts within such enterprises are the processes of forecasting and decision-making. This article describes the existing prediction algorithms, suitable for use on a consolidated source of data. Particular attention is paid to the methods of decision-making, allowing for the existing knowledge of experts to form the solutions, based solely on the logic component. According to the considered methods agreed on the desirability of the use of joint forecasting techniques and methods of decision-making to optimise financial performance of a particular company as well as a group of companies close to it in terms of key financial and economic indicators.
Keywords:	Financial Forecasting, Holt-Winters Method, Method Of Hierarchy Analysis, Small Manufacturing Business.
Source:	Journal of Theoretical and Applied Information Technology 20^th March 2015 -- Vol. 73. No. 2 -- 2015
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Title:	AN EFFECTIVE FRAMEWORK TO IMPROVE THE EFFICIENCY OF SEMANTIC BASED SEARCH
Author:	MERLIN ANN ROY, VIGNESHWARI. S
Abstract:	The incredible progress in the size of data and with the great growth of the amount of web pages, outdated search engines are not suitable and not properly any longer. The search engine is the best significant device to determine any information in World Wide Web. Semantic Search Engine is innate of outdated search engine to solve the above problem. The Semantic Web is a postponement of the existing web where data is are given in fixed meaning. Semantic web tools have a vital role in improving web search, because it is functioning to produce machine readable data and semantic web technologies will not exchange traditional search engine
Keywords:	Semantic,Query,Keyword,Search Engine, Data,Relevant Document
Source:	Journal of Theoretical and Applied Information Technology 20^th March 2015 -- Vol. 73. No. 2 -- 2015
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Title:	A NEW PROPOSED DYNAMIC DUAL PROCESSOR BASED CPU SCHEDULING ALGORITHM
Author:	G.SIVA NAGESWARA RAO, DR.S.V.N. SRINIVASU, DR. N SRINIVASU, DR. O NAGA RAJU
Abstract:	Selection of appropriate CPU scheduling algorithm is important, because the OS scheduler has to context-switch the CPU among the various tasks that an operating system has to execute. Real time systems involve high number of context switches. Hence, RR scheduling is not suitable, as this can result in a few particular processes waiting in the pipeline for a long time, to get the CPU time. This paper proposes a dual-processor based scheduling technique, called as Dynamic Time Quantum algorithm. Here, one processor handles only computation-intensive tasks, whereas the other processor handles only I/O tasks. In this approach, the scheduler intelligently dispatches the process to the appropriate processor (CPU). After the processes are dispatched to the respective processors, the time quantum is calculated and the processes are executed in increasing order of their burst time. Experimental Analysis had proved that the proposed algorithm viz. Dynamic Time Quantum algorithm had outperformed the traditional algorithm which used a single CPU.
Keywords:	Time Quantum, Scheduling, Round Robin , Context Switches, Waiting Time, Turnaround Time.
Source:	Journal of Theoretical and Applied Information Technology 20^th March 2015 -- Vol. 73. No. 2 -- 2015
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Title:	TEXTURE CLASSIFICATION USING RANDOM FORESTS AND SUPPORT VECTOR MACHINES
Author:	MOHAMMED M. AL SAMARRAIE, MD JAN NORDIN, GHASSAN JASIM AL-ANIZY
Abstract:	Texture analysis is considered fundamental and important in the fields of pattern recognition, computer vision and image processing. Texture analysis mainly aims to computationally represent an intuitive perception of texture and to facilitate automatic processing of the texture information for artificial vision systems. In this paper, we have compared between texture classification methods based on the Random Forest (RF) and Support Vector Machine (SVM) classifiers by using various extraction feature methods namely bi-orthogonal wavelet transform, gray level histogram and co-occurrence matrices. Each of these methods has used to classify the image separately at first, and they have combined together secondly. Experiments were conducted on two different databases. The first texture database is CUReT and the second database was collected from Outex database. The results have revealed that, RF and SVM have yielded higher classification precision.
Keywords:	Supervised Random Forest, Support Vector Machine, Feature Extraction, Texture classification
Source:	Journal of Theoretical and Applied Information Technology 20^th March 2015 -- Vol. 73. No. 2 -- 2015
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Title:	AN INVESTIGATION OF THE SECURE DATA COMMUNICATION IN MEDICAL MOBILE APPLICATIONS
Author:	ASOU AMINNEZHAD , MOHD TAUFIK ABDULLAH ,POOYA KHANMOHAMADI HEZAVE
Abstract:	Nowadays, medical applications (apps) have become a rapidly growing and basic tool in medical education, patient care and clinical research that are vitally important to aware people with a health signal. Similar to other sorts of telecommunication and Internet applications, the medical apps are vulnerable against attackers or unauthorized interceptions. An encryption is a common way to provide the privacy of medical application users. In this paper, we examine ten popular medical applications and analyze the intercepted communication to determine the encryption of captured packets and text communications based on obtained results.
Keywords:	Medical Applications, Encryption, Data Communication, Mobile Interception
Source:	Journal of Theoretical and Applied Information Technology 20^th March 2015 -- Vol. 73. No. 2 -- 2015
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Title:	THE MODELLING OF INFORMATION DISTRIBUTION SYSTEM ON THE ANDROID-BASED: POWER OUTAGE APPLICATION
Author:	AFAN GALIH SALMAN, SABLIN YUSUF, ADRIANUS, R.TANTIE K
Abstract:	Currently, delays in dealing with power outage by Nationl Electricity Company (PT PLN) largely due to ineffectiveness of information distribution system in the departement who receive complaints from customer and deliver it to the repair team in the fields. Therefore we need such a application for distribution of power outage information based on Android that capable of facilitating power outage service system in receiving problem report and deliver process of power outage evaluation which is ongoing or is done. Google Map Usage provides lots of assistance in mapping the nearest repair team location to where area of the power outage happened. The application is designed preceded by conducting analysis method of user requirement including analysis of the ongoing system, analysis of the findings of interview result as well as indentification of information necessity and system requirements. Designing focused on the Interface User Screen Design of mobile device and Web Admin Design. The research has resulted in a system modelling that capable of supporting the smooth running of distribution process of information on power outage in National Electricity Company.
Keywords:	Distribution of Electricity Problem Information, Android.
Source:	Journal of Theoretical and Applied Information Technology 20^th March 2015 -- Vol. 73. No. 2 -- 2015
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Title:	GROUP FORMATION SCHEME OF CELLS FOR BETTER SPECTRUM EFFICIENCY IN COGNITIVE RADIO NETWORK
Author:	H.VENKATESH KUMAR, DR.M.N.GIRIPRASAD
Abstract:	A network is an interconnection of different users where different users exchange information with each other using transmitters and receivers. When the information are need to be transmitted automatically then in such cases cognitive radio network is used. The transmitters in the cognitive networks are signaled such that they can automatically detect the available channels and pass signals through them [1]. In such a situation availability of channels plays the important role. As channels are generally limited so they need to be shared among the participating users. The users who own channels of their own are named as Licensed Users (LU), and those does not own channels of their own, need to use channels owned by the licensed users are called Unlicensed users (UU). The existing system tells about the contents of information circulated in the network while the proposed system is all about transferring and gathering information in the network. The cells undergo a game called groups formation where they switch from one group to another in search of available channels.
Keywords:	Cognitive radio Network, Licensed users, unlicensed users, Group formation.
Source:	Journal of Theoretical and Applied Information Technology 20^th March 2015 -- Vol. 73. No. 2 -- 2015
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Title:	DYNAMIC TRAFFIC LIGHT CONTROL FOR INTELLIGENT MOBILITY IN SMART CITIES
Author:	BEN AHMED Mohamed, GHADI Abderrahim, BOUDHIR Anouar, BOUHORMA Mohammed, BEN AHMED Kaoutar
Abstract:	Intelligent Mobility is the most important pillar in the approach of the smart city because the urban road traffic is the heart of many problems in many fields, such as economics or ecology. Therefore, the Intelligent Transportation Systems (ITS) have emerged to best optimize the expenditure of the user on often complex road networks. In this paper, after studying the backgrounds of such systems, we suggest a dynamic traffic lights control through the use of statistical multiplexing technique based on V2I in Vanets. We will see that this architecture can be flexible within the framework of ITS and participate in low cost to obtain interesting results. The simulation results prove the efficiency of the dynamic automatic traffic light control system in an urban area and the comparison of the proposed system with other systems in the scientific literature improve the effectiveness of our approach
Keywords:	Smart city, Vanet,NS2, ITS, SDTM
Source:	Journal of Theoretical and Applied Information Technology 20^th March 2015 -- Vol. 73. No. 2 -- 2015
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Title:	CLUSTER BASED ANONYMIZATION FOR PRIVACY PRESERVATION IN SOCIAL NETWORK DATA COMMUNITY
Author:	V.VIJEYA KAVERI, Dr.V.MAHESWARI
Abstract:	Nowadays, social network data has been made publicly available, analyzed and utilized in one way or another. Since, social network data are publically available it leads to an important issue in Privacy preserving. This paper explores the existing anonymization techniques for privacy preserving publishing of social network data. The problem formulation is done by considering privacy, data utility and knowledge as dimensions in this paper. This paper describes about clustering- based anonymization methods for privacy preservation .
Keywords:	Online Social Networks (OSN) , Privacy Preserving, Anonymization, Clustering.
Source:	Journal of Theoretical and Applied Information Technology 20^th March 2015 -- Vol. 73. No. 2 -- 2015
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Title:	EMPIRICAL EVALUATION OF COMPLEXITY METRICS FOR COMPONENT BASED SYSTEMS
Author:	MWALILI TOBIAS, WAWERU MWANGI, KIMWELE MICHAEL
Abstract:	Reuse-based software engineering is gaining currency as an approach for constructing software applications that are based on existing software components. Factors that have contributed to increased reliance on software components include increased dependability, reduced process risk, standards compliance and reduced time to market. Software components are usually delivered and handled as “black boxes,” which tremendously increases risks associated component integration, system testing and deployment. Due to these risks, metrics for evaluating the quality of component-based systems must be developed and validated. In this work, we analyze the Interface Complexity Metric for JavaBeans components and propose an enhanced metric. We also perform validation of the proposed metric and make recommendations for future research work.
Keywords:	CBSD, Component complexity, Complexity metrics, Software complexity, Quality metrics
Source:	Journal of Theoretical and Applied Information Technology 20^th March 2015 -- Vol. 73. No. 2 -- 2015
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Title:	IS THERE A CORRELATION BETWEEN ERP IMPLEMENTATION, ADHERENCE TO COSO AND GCG IMPLEMENTATION?
Author:	JULISAR, HARJANTO PRABOWO, JAP TJI BENG, SUKRISNO AGOES
Abstract:	The objective of this study is to make a conceptual framework the correlation of ERP implementation, adherence to COSO, and GCG implementation. Based on literature review, that it needs a paradigm the application of ERP is a business project. Business project requires the attention of stakeholders, such as management, information systems professionals, line workers, consultants, and trading partners. In the development phase of the ERP system is a project, there must be control. Control is done so that the system is made to achieve the goals and objectives that have been set previously. Control is done by implementing an internal control guided by COSO. This research is still a literature study, so that the concept written here is still a conceptual framework which has to be tested empirically.
Keywords:	ERP Implementation, Adherence To COSO, GCG Implementation
Source:	Journal of Theoretical and Applied Information Technology 20^th March 2015 -- Vol. 73. No. 2 -- 2015
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Title:	BAYESIAN ESTIMATION FOR ASSESSMENT BASED LEARNING ICT
Author:	J. ALVAREZ-CEDILLO, J. HERRERA-LOZADA, J. SANDOVAL-GUTIERREZ, , M. OLGUIN-CARBAJAL, M. HERNANDEZ-BOLAÑOS, I.L RIVERA-ZARATE, T. ALVAREZ-SANCHEZ, AND R. CADENA-MARTINEZ
Abstract:	Incorporating Information Technology and Communication (ICT) in education improves the level with sophisticated tools to increase a competence system in education. Bayes theorem is valid in all applications of the probability theory. In essence, the followers of traditional statistical probabilities only support repeatable experiments and have empirical confirmation while so-called Bayesian statistics allow subjective probabilities. The theorem can then serve to indicate how our subjective probabilities should be modified when receiving additional information from an experiment. Bayesian statistics prove their utility in certain estimates based on the subjective prior knowledge and reviews these estimates based on the empirical evidence. This feature is opening up new ways of understanding. This situation has had a strong tendency envisioned by offering new interpersonal communication systems worldwide and obtains and provides information of all kinds, instantaneously. This paper shows the tests performed in a study to measure learning under a Bayesian approach.
Keywords:	Information Technology and Communication, Bayesian statistics, Bayesian algorithms, Learning, Education.
Source:	Journal of Theoretical and Applied Information Technology 20^th March 2015 -- Vol. 73. No. 2 -- 2015
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Title:	EFFECTIVE EXTRACTION OF SEMANTIC CONTENT IN VIDEOS USING META-ONTOLOGY
Author:	K.PRIYA
Abstract:	The growth of using videos in different areas like surveillance cameras, Intruder detection, sports, news, etc., increases the research on utilizing these videos. Unauthorized persons, thefts and malpractices are detected by these videos. Large volumes of recorded data through these cameras are stored but not utilized or processed. Tracking of an objects and extraction of features from videos are done through several methods. The events and objects can difficult to detect in populated area. Semantic Content Extraction (SCE) was proposed to extracting objects and events along with their relations using ontology. Ontology construction for these videos gives spatial, temporal and topological relations between different video frames. This results the events or actions performed in the video which intends to give semantic content from the video.
Keywords:	Semantic content, Ontology, Spatial Relations, Temporal Relations, Topological Relations, Event Extraction
Source:	Journal of Theoretical and Applied Information Technology 20^th March 2015 -- Vol. 73. No. 2 -- 2015
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Title:	DEVELOP PRACTICAL METHODS OF KNOWLEDGE MEASUREMENT IN UNIVERSITIES
Author:	ALI TAHA Al-OQAILY, ZAINUDDIN BIN HASSAN, AHMAD ABEDAL-HAYY AL-DALA’IEN, ABDULLAH MOHAMMED RASHID
Abstract:	The organizations of various fields such as industry and education looking for manage their knowledge resources in order to provide efficient products performance. The knowledge measurement is one from the most important success factors of knowledge management implementations. The dynamic changes of businesses environments and knowledge levels maximize the difficulty of measure the efficiency levels of tacit and explicit knowledge. The academic staff in universities face challenges in retrieve the efficient explicit knowledge i.e. articles that compatible with their tacit levels in order to develop their tacit value to support their teaching and researching activities. The main aim of this research is to develop practical methods to match between the explicit and tacit knowledge levels inside universities environments in order to retrieve the suitable explicit knowledge that satisfy the employees needs of knowledge based on their tacit levels. This research data collected supporting qualitative data collecting method using interview with four experts of knowledge management. The knowledge measurement practical specifications and mathematic equations developed based on the collected data to provide the matching between the tacit levels of academic staff and retrieved explicit knowledge levels inside universities environments.
Keywords:	Knowledge management, knowledge measurement, knowledge matching, success factors, universities environments.
Source:	Journal of Theoretical and Applied Information Technology 20^th March 2015 -- Vol. 73. No. 2 -- 2015
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Title:	A FRAMEWORK FOR ONTOLOGY BASED LINK ANALYSIS FOR WEB MINING
Author:	S.MONISHA, S.VIGNESHWARI
Abstract:	User defined keyword search have limitation in their results and deliverance based on first indications. They face a challenge against social media analysis. Searches based on user defined keyword results in poor quality and consumes more time. All relevant and irrelevant information present in a link becomes difficult for the users to extract. So, ontology is used for effective monitoring analysis. The main challenge is to create domain-specific ontology in social media analysis. The earlier heuristic algorithm, HITS(Hyperlink Induced Topic Search) was proposed for analyzing authority and hubs of pages, but since each site had extra hyperlinks like navigation panels, HITS failed in providing good precision.To overcome this difficulty, LAMIS(Link Analysis on Mining Web Informative Structures). LAMIS uses information entropy to give a higher precision from 133% to 232% and recall gets improved between 0.5 and 1 while retrieving the documents form online social media.
Keywords:	Ontology, Leads,Web- mining,LAMIS, Customer Relationship Management.
Source:	Journal of Theoretical and Applied Information Technology 20^th March 2015 -- Vol. 73. No. 2 -- 2015
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Title:	HYBRID GENETIC ALGORITHM AND GREEDY RANDOMIZED ADAPTIVE SEARCH PROCEDURE FOR SOLVING A NURSE SCHEDULING PROBLEM
Author:	CHEBIHI FAYCAL, MOHAMMED ESSAID RIFFI, BELAID AHIOD
Abstract:	In this research, we will address a new hybrid approach to solve a Nurse Scheduling Problem (NSP) at a hospital. This is an NP-hard scheduling problem as it aims to find a satisfactory schedule for nurses, while taking into account a variety of interfering objectives between hospital constraints and nurse preferences. Although classical genetic algorithms (GAs) have been successfully used for similar problems, the main objective of this research is to investigate a new combined method between GA and Greedy Randomized Adaptive Search Procedure (GRASP) to signiﬁcant better result, not only compared to a classical genetic algorithm but also to all other metaheuristic methods. This study is based on a real benchmark dataset and a multi-objective programming model with binary variables, while the objective function is represented by a vector of soft constraints.
Keywords:	Nurse Scheduling Problem, NP-hard, genetic algorithms, Greedy Randomized Adaptive Search, Metaheuristics
Source:	Journal of Theoretical and Applied Information Technology 20^th March 2015 -- Vol. 73. No. 2 -- 2015
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Title:	AN EFFICIENT AND NOVEL APPROACH FOR WEB SEARCH PERSONALIZATION USING WEB USAGE MINING
Author:	KRISHNAKANT P. ADHIYA, SATISH R. KOLHE
Abstract:	Generally each user has a different background and different needs when he/she searches for any information on the web. For the same query issued by different users, most of the search engines return the same results to all users, without considering the individuals need. This problem is solved using personalized web search. In this paper, we propose the architecture for web search personalization using web usage mining without user’s explicit feedback. The proposed architecture uses an efficient sequential access pattern mining algorithm based on CSB-mine algorithm, a new approach for sessionization and modified user profile. The proposed mining algorithm does not generate any costlier tree and it avoids construction of projected database at any stage. Our experimental results on synthetic data set show that proposed algorithm performs better than the CSB-mine algorithm in terms of run time and average memory usage. Then experiments are carried out on proxy server logs for personalized recommendations, using the proposed architecture. The experimental results indicate that the system generates accurate sequential access patterns and improved recommendation of web pages.
Keywords:	Web Search Personalization, Web Usage Mining, Sequential Access Pattern.
Source:	Journal of Theoretical and Applied Information Technology 20^th March 2015 -- Vol. 73. No. 2 -- 2015
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