		FeedBack \| Contact Us \| Links \| Site Map

Welcome to Journal of Theoretical and Applied Information Technology

Submit Paper / Call for Papers

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
February 2015 | Vol. 72 No.3

Title:	BRAIN COMPUTER INTERFACE BASED ROBOT DESIGN
Author:	Dr V PARTHASARATHY, Dr G SARAVANA KUMAR S SIVASARAVANA BABU, Prof. GRIMM CHRISTOPH
Abstract:	Electro Encephalo Gram based Brain-Computer Interface mobile robots can help as powerful support for severely disabled people in their regular activities, especially to aid them to move voluntarily. This paper proposes and implements a brain signal controlled robot to yield four different directional movements. The schemes uses a single electrode pair acquisition scheme, ARM controller based driving unit and robot module. This paper uses three performance metrics to validate the effectiveness of the scheme. It also exhibits good results in generating different navigational directions in accordance with the driving signal.
Keywords:	Electro Encephalo Gram, Brain-Computer Interface, ARM controller, Robot
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2015 -- Vol. 72. No. 3 -- 2015
Full Text

Title:	CLUSTERING AND NEURAL NETWORK APPROACHES FOR AUTOMATED SEGMENTATION AND CLASSIFICATION OF MRI BRAIN IMAGES
Author:	MRS.P.MUTHUKRISHNAMMAL, DR.S.SELVAKUMAR RAJA
Abstract:	Nowadays the application of image processing for medical imaging is increasing enormously and the most common medical images such as Ultrasound, x-ray, CT, digital mammography, and MRI are that are stored and represented in soft-copy. An MRI can give different grey levels for different tissues and various types of neuropathology and its analysis involves: Data acquisition, processing, and visualization stages. Medical image segmentation plays a very important role in most of the computer-aided diagnostic tools [1]. Brain tumor detection is one of the most difficult and important for medical diagnosis. Even by an expert physician it consumes a lot of energy and time to get the accurate location of the tumor.These tools could save clinicians’ time by simplifying complex time-consuming processes. The main part of these tools is to design an efficient segmentation algorithm. Mostly the medical images contain noise whose behaviour is not predictable, in-homogeneities, and complex structures. Therefore, segmentation of medical images is a very challenging and complicated task. In this paper we propose new approach wherein the features of MR images are extracted using curvelet transform via wrapping based method in combination with the Haralick parameters. The features which are obtained from the coefficients of curvelet transform is used as the database for the further classification stage which is neural network based (PNN) classifier for the classification stage and it categorizes the brain tumour that belong to benign and malignant types. Finally the K-Means clustering based segmentation algorithm is used for segmenting the abnormal brain tumour region which is the region of interest which can be used for further diagnosis process by the oncologists.
Keywords:	MRI, Classification, Segmentation, Curvelets, K-Means Segmentation, PNN classifier
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2015 -- Vol. 72. No. 3 -- 2015
Full Text

Title:	DISCRETE PENGUINS SEARCH OPTIMIZATION ALGORITHM TO SOLVE THE TRAVELING SALESMAN PROBLEM
Author:	ILYASS MZILI, MOHAMMED ESSAID RIFFI
Abstract:	The traveling salesman problem (TSP) is an NP-hard combinatorial optimization problem that can be solved by finding optimal solutions. In this work we present an adaptation of the metaheuristic “Penguins Search Optimization Algorithm” (PeSOA) depending on the Penguins hunting strategies. The results show that the proposed adaptation which is favorably compared with the methods proposed in the literature, gives very good results in a reasonable time.
Keywords:	Metaheuristic, Traveling Salesman Problem, PeSOA, Combinatorial Optimization.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2015 -- Vol. 72. No. 3 -- 2015
Full Text

Title:	CONTEMPORARY SEMANTIC WEB: THE PRIMARY SOCIAL AND TECHNICAL CHALLENGES
Author:	SENDURU SRINIVASULU, SAKTHIVEL P
Abstract:	The web is all about connecting, storing and retrieving documents .In this internet era the data is growing with a rapid speed and the technology to process this data has to face many challenges to catch the same phase. The web is huge collection of unstructured and scattered data all around the globe in numerous formats .The need to explore and exploit the information from this unstructured web is in raise. The semantic web is the solution to explore the information from such unstructured web. This paper explores the evolution of the web and various factors that influenced the conceptualization of the Semantic Web. It analyzes these social and technical challenges based on research data from established industry experts, semantic web community and other online resources. Key among these challenges are the lack of established standards and specifications, deficit in trust and resulting privacy issues are some of the challenges which have hindered this technology from gaining traction in the web world. Its widespread acceptance among general public and corporate is dependent on how these challenges are tackled over the next few years.
Keywords:	Semantic web, challenges, RDF, Structured Data, Ontology
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2015 -- Vol. 72. No. 3 -- 2015
Full Text

Title:	A NEW APPROACH OF WEB ATTACKS CLASSIFICATION FOR TESTING SECURITY TOOLS AT THE APPLICATION LEVEL
Author:	KARIM ABOUELMEHDI, AHMED BENTAJER, LOUBNA DALI, NACER SEFIANI
Abstract:	Classification of web attacks is the focus of cyber security nowadays. Therefore, it is still infancy, but like the cyber security, is evolving constantly. Therefore, classification needs to be properly organized in order to choose the best tests, to better choose the fixtures, for web security systems. The goal of this paper is to classify the web attacks using the classification of OWASP, the Open Web Application Security Project, which deals with the top ten security web attacks. We present and describe a classification method that assists to figure out the growth of web attacks. The particularity of our approach is not only it gives relevant information about the current web attacks but also can predict and estimate the likely future attacks. Our method is tree based classification.
Keywords:	Web Attacks, Attacks Categories, Web Security Tools, Classification Tree
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2015 -- Vol. 72. No. 3 -- 2015
Full Text

Title:	ENHANCED FEATURE EXTRACTION OF HANDWRITTEN CHARACTERS AND RECOGNITION USING ARTIFICIAL NEURAL NETWORKS
Author:	MOHAMED ABAYNARH, HAKIM EL FADILI, LAHBIB ZENKOUAR
Abstract:	This paper presents an unconstrained system for off line handwritten Amazigh character recognition based upon Legendre moments and neural networks. Legendre moments are used in features extraction phase and optimized by maximum entropy principle. Neural networks methods are chosen due to their natural flexibility and the extent of parallel processing they allow. The performance rate of our proposed scheme is strongly influenced positively upon the feature extraction algorithm that has been applied in this work. The method is robust to different styles of writing, different levels of smoothing and insensitive to the nuances of characters. Also it is performing to the translation, scale invariance. The performance of the proposed method is examined in terms of Legendre moments order and neural networks size and architecture. Features like pixel density features and Euclidean distance features are extracted from the normalized characters. The two features are applied to two different neural networks. A comparison of these techniques and our method is made. Through comparison with cited methods, the proposed method has significantly advanced and the recognition rate reaches 97.46%.
Keywords:	Offline character recognition, Features extraction, Legendre Moments, Neural Networks, Multilayer Perceptron
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2015 -- Vol. 72. No. 3 -- 2015
Full Text

Title:	AUTOMATIC GLAUCOMA DETECTION BASED ON THE TYPE OF FEATURES USED: A REVIEW
Author:	ANINDITA SEPTIARINI, AGUS HARJOKO
Abstract:	Glaucoma is an eye disease that is the second most common cause of blindness in worldwide. The characteristic of glaucoma are high eye pressure, loss of vision gradually which can cause blindness and damage to the structure of retina. The damages which may occur for example are structural form changes of the Optic Nerve Head (ONH) and Retinal Nerve Fiber Layer (RNFL) thickness. The observable part of ONH which is the features of glaucoma such as disc, cup, neuroretinal rim, Parapapillary atrophy and blood vessels. The structure of the retina can be observed through a retinal image, where the image is produced from several types of equipment such funduscopy, Confocal Scanning Laser Ophthalmoscopy (CSLO), Heidelberg Retina Tomograph (HRT) and Optical Coherence Tomography (OCT). This paper discusses about the automatic feature extraction technique in retinal fundus images which can be used for detection or classification of glaucoma. The technique is divided into two groups, namely morphological and non-morphological based on the type of features used. This grouping aims to determine what type of features extraction technique can be used to represent the glaucoma characteristic.
Keywords:	Glaucoma, Detection, Classification, Feature Extraction, Retinal Image
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2015 -- Vol. 72. No. 3 -- 2015
Full Text

Title:	COMPARISON OF HARDWARE AND NIOS II BASED-SOFTWARE IMPLEMENTATION OF MLP ON THE FPGA PLATEFORM
Author:	BOUSSAA MOHAMED, ATOUF ISSAM, ATIBI MOHAMED, BENNIS ABDELLATIF
Abstract:	The artificial neural networks provide optimal and satisfactory solutions for most applications of image and signal processing requiring complex mathematical operations. This often leads to implement these artificial neural networks in platforms that retain their performance (computational efficiency, speed of execution). This article presents, in a first stage, two implementation methods of artificial neuron network MLP types: hardware and software based on the processor Nios II and, secondly, comparing their performance in terms of execution time and material resources consumed. The two implementations have been done in the FPGA platform DE2-70 Altera that offers performance in terms of flexibility, efficiency and very remarkable speed.
Keywords:	MLP, NIOS II, FPGA, hardware resource, Execution time.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2015 -- Vol. 72. No. 3 -- 2015
Full Text

Title:	KNOWLEDGE EXPLORATION: SELECTED WORKS ON QURAN ONTOLOGY DEVELOPMENT
Author:	FAROOQUI N.K., Dr. MOHAMMAD FAUZAN NOORDIN
Abstract:	This paper presents key features and challenges ahead for the development and knowledge retrieval of Quran ontology. Recent studies have made significant advances towards the development of Quran ontology. In the recent past, there have been numerous studies conducted on the application of semantic technologies on Quran. Contribution of this paper is its focus on finding the direction of knowledge exploration in Quran. Several studies on Quran ontology development help us in analyzing its linguistic features. Another dimension where Quran excels is the Knowledge of it. There are few studies that concentrate on retrieval of knowledge from Quran. In this literature review, we have included studies that can help us in developing semantic application for knowledge exploration from Quran. This paper devises challenges mainly focusing towards exploration of knowledge in the Quran and summaries research in this area, discuss key features and open research issues.
Keywords:	Islam, Knowledge management, Ontology, Semantic web, Semantic technologies, Quran.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2015 -- Vol. 72. No. 3 -- 2015
Full Text

Title:	UNIT COMMITMENT SOLUTION USING GENETIC ALGORITHM BASED ON PRIORITY LIST APPROACH
Author:	SARJIYA, ARIEF BUDI MULYAWAN, ANDI SUDIARSO
Abstract:	This paper presents the completion of unit commitment (UC) problem using genetic algorithm based on priority list (GABPL) approach. The UC problem is divided into two sub problems. The problem of unit scheduling is solved by using GABPL method. The lambda iteration method is used for solving the economic load dispatch problem. The proposed method is tested on 10-units-system case study as well as its duplication. The priority list which is used in this paper can make genetic algorithm to converge faster and better. The results of the proposed method are compared to other methods referred in this paper.
Keywords:	Unit Commitment, Economic Dispatch, Genetic Algorithm, Priority List, Lambda Iteration
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2015 -- Vol. 72. No. 3 -- 2015
Full Text

Title:	THE MAGNETIZING CHARACTERISTIC IN THE AIR GAP OF THE SEIG USING RUNGE KUTTA METHOD AND CORRECTION FACTOR
Author:	RIDWAN GUNAWAN, FERI YUSIVAR , BUDIYANTO YAN
Abstract:	The Self Excitated Induction Generator (SEIG) is very popular now as a generated alternating power. In this research the induction machine is approached in the physically and mathematically approximated which then transformed from three-phase frame abc to two-axis frame dq using the Park and Clark transformation. Based on the reactive power demand and capacitor mounted on the stator of the induction machine then do the physical and mathematical approach of the system to obtain a state space model. Under known relationships, magnetization reactance and magnetizing current is not linear, so do mathematical approach to the magnetization reactance and magnetization currents characteristic curve to obtain the magnetic reactance equation used in the calculation. Obtained state space model and the magnetic reactance equation is simulated by using Runge Kutta method of fourth order in the exponent equation with correction factor. The influence of the stator current in q axis i_qs, is very strong and the equation of this current is non power-invariant then , using take the stator current reference i_qs^ref is (2⁄3) I_base . The correction factor K4 has done the magnetizing inductance Lm and also the output terminal voltage of SEIG more precision than before.
Keywords:	Induction Machine, Self Excitated Induction Generator, dq0 Transformation, State Space, Magnetization Characteristic of Induction Machine, Runge Kutta.Method, Correction Factor.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2015 -- Vol. 72. No. 3 -- 2015
Full Text

Title:	DEVELOPING A WORKFLOW MANAGEMENT SYSTEM FOR ENTERPRISE RESOURCE PLANNING
Author:	RIYANARTO SARNO, CHAIRAJA ALMAS DJENI, IMAM MUKHLASH, DWI SUNARYONO
Abstract:	The company generally requires an application that can be easily configured. This can happen if the application is supported by the Workflow Management System (WFMS). WFMS which built serves to store a variety of common workflows and varied. In addition to working as a storage place, WFMS also has the ability to generate an event log that can be analyzed with the application process workflow mining and semantic search. Semantically workflows searching are e by annotated workflow metadata using the Ontology Web Language for Services (OWL-S). The capabilities of workflows searching are using SPARQL Query WordNet database. SPARQL query is used to extract data from OWL-S and database WordNet is used in calculating the value of keywords and data semantics of OWL-S. Results of the testing showed that the WFMS can do a search workflow with high accuracy from a variety of business processes in Enterprise Resource Planning (ERP). The results of the testing also show the event log generated can be analyzed using the technique of mining process.
Keywords:	Workflow Management System, OWL-S, process mining, ERP
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2015 -- Vol. 72. No. 3 -- 2015
Full Text

Title:	MACHINE LEARNING TECHNIQUES FOR INTRUSION DETECTION SYSTEM: A REVIEW
Author:	SUNDUS JUMA, ZAITON MUDA, M.A. MOHAMED, WARUSIA YASSIN
Abstract:	Intrusion detection is considered as one of the foremost research areas in network security, the challenge is to recognize unusual access that could lead to compromising the interconnected nodes. Anomaly-based intrusion detection system, that utilizes machine learning techniques such as single classifier and hybrid classifier have the capability to recognize unpredicted malevolent. In this paper, we examine different machine learning techniques that have been proposed for detecting intrusion by focusing on the hybrid classifier algorithms. The objective is to determine their strengths and weaknesses. From the comparison, we hope to identify the gap for developing an efficient intrusion detection system that is yet to be researched.
Keywords:	Intrusion Detection, Anomaly Detection, Machine Learning, Hybrid Classifier, Single Classifier
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2015 -- Vol. 72. No. 3 -- 2015
Full Text

Title:	SOFTWARE REUSABILITY: A FRAMEWORK USING SOFTWARE COMPONENTS AND REUSABLE ASSETS
Author:	A.RAVI, DR.K.NIRMALA
Abstract:	As everything becomes computerized, more and more software have to be evolved. As the software grows rapidly, many problems have to be emerged in terms of software development and maintenance. So the Software developers have to learn more and new information in terms of their process in different areas. This information has to be managed for long time to make it use in various software. This kind of using the same information for multiple processes is termed as Reuse. In Software Engineering, this concept of reuse has been implemented very much to reduce the implementation cost and for efficient maintenance. Reusability is termed as a part or a segment of source code can be used again in order to develop new functionalities with slight or no modification. Software Reusability is the process of developing new software from existing software with slight modification in the existing one in order to adopt it for new one. In our paper, we have to implement this software reusability concept with efficient methodology and algorithm. We have to propose a methodology to develop a software component that act as a Reuse Asset which can be used to develop various software with less cost.
Keywords:	Reusability, Reuse Asset, Software Component, Software Development, Software Engineering, Software Reusability.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2015 -- Vol. 72. No. 3 -- 2015
Full Text

Title:	CUT DETECTION DUE TO ENERGY FAILURE IN WIRELESS SENSOR NETWORK USING CLUSTER BASED APPROACH
Author:	E. Anna Devi
Abstract:	The major disadvantage of the wireless sensor network is that its efficient performance may be seriously degraded due to the death of the sensor nodes. When attempted to study and discover the various causes for the failure of the sensor nodes, there are many factors like atmospheric factors, technical factors, environmental factors, mechanical factors, natural calamities etc,. Here, the failure of the sensor node due to energy failure is considered. In this paper, a different kind of challenge for the wireless sensor networks is addressed. It is discovered that there is a need to monitor the sensor network itself and to detect when the network has suffered any ill situation. The task of cut detection does not end up consuming a large part of the network resources. In the proposed work the base station is able to check the energy level of the sensor nodes present in the network at considerable number of information exchange so that the base station can come to know whenever problems occur with the sensor nodes.
Keywords:
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2015 -- Vol. 72. No. 3 -- 2015
Full Text

Title:	QUALITATIVE EVALUATION OF QUANTUM ENHANCEMENT FOR EDGE DETECTION OF MEDICAL IMAGES
Author:	A.B. MUTIARA, R. REFIANTI, M.C. KAMU
Abstract:	In recent years, quantum mechanics has been connected with computer science, information theory in communication and digital signal processing. Developing new computing methods and signal processing algorithms by borrowing the principle of quantum mechanics is a very interesting and new research topic. In this research, a quantum digital image processing algorithms will be presented and compared to five other edge detection algorithms, such as Roberts, Sobel, Prewitt, Laplacian of Gaussian, and Canny. Therefore an edge detection method comparison using MATLAB is done in order to find the best edge detection method for qualitative evaluation, namely sensitivity and specificity. From all the comparisons process, the best edge detection method for sensitivity and specificity is known. For the sensitivity, Canny’s edge detection algorithm without quantum enhancement is the best method with sensitivity value amount 83.33% and for the specificity, Roberts edge detection algorithm using quantum enhancement is the best method with specificity value amount 83.33%.
Keywords:	Image processing, Edge Detection Algorithm, Quantum Signal Processing, Qubit
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2015 -- Vol. 72. No. 3 -- 2015
Full Text

Title:	THE ROLE OF INFORMATION TECHNOLOGY TO IMPROVE LECTURER PERFORMANCE
Author:	MARISA KARSEN, SISWONO, WIDIANTY
Abstract:	Information technology (IT) has important roles in education industry, especially to improve teaching and learning process. The existence of internet as an information provider has opened the horizon about the growth of IT. Nowadays, students already know about the latest technology and how to use it, but the problem is some of lecturers still don’t update about technology, especially to improve teaching and learning process, such as multimedia, animation, etc. By using IT, lecturer can perform in better way to delivery materials to the students. This paper discusses several tools of IT that have been used and haven’t use by lecturers in class and to interact with students outside class. This study conducted by interview and survey to several lecturers at some private universities in Jakarta to know about IT implementation in universities and come up with the alternatives of IT tools and training to improve lecturers performance that can help the learning process as well as the overall faculty performance. If lecturers understand how to use IT tools optimally, they and can create new trend as technological advances in education industry. The conclusion is that information technology has huge impact to improve lecturer performance in delivering materials to the students that can improve the quality of the students.
Keywords:	Information Technology, Universities, Lecturer Performance
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2015 -- Vol. 72. No. 3 -- 2015
Full Text

Title:	THE CONTINUED USE OF E-LEARNING SYSTEM: AN EMPIRICAL INVESTIGATION USING UTAUT MODEL AT THE UNIVERSITY OF TABUK
Author:	DR. MOEZ BELLAAJ, DR. INES ZEKRI, DR. MOTEB ALBUGAMI
Abstract:	Despite the increase of Internet users and the development of the IT infrastructure, e-learning in developing countries is not yet largely diffused compared with the developed regions. Building on past studies related to UTAUT applications in the e-learning environment, the objective of this paper is to focus on the student continued use of a virtual learning system of the University of Tabuk in Saudi Arabia. The findings reveal that performance expectancy, and effort expectancy determine the intention of continued use of e-learning system. With stronger Internet experience, the effect of performance expectancy increases, and the influence of effort expectancy decreases. In addition, the effect of social influence on intention of continued use is seems to be stronger for women than for men. The theoretical and managerial implications of these results are discussed.
Keywords:	Unified Theory Of Acceptance And Use Of Technology (UTAUT), E-Learning System, Technology Use, Performance Expectancy, Effort Expectancy, Social Influence
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2015 -- Vol. 72. No. 3 -- 2015
Full Text