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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
May 2015 | Vol. 75 No.2

Title:	A PARALLEL SCHEDULING SEQUENCE OF GF (P) EDWARDS COORDINATES COMPUTATION FOR ECC
Author:	QASEM ABU AL-HAIJA
Abstract:	Elliptic curves cryptography (ECC) algorithm is well-known powerful approach of implementing public key cryptography created by Victor Miller and Neil Koblitz. ECC is a modular arithmetic based algorithm that includes modular inversion operation in its computation, which is considered as one of the heaviest operations that can be performed by the coprocessor. Implementing ECC with projective coordinates avoided the use of inversion by replacing it with a number of parallel multiplications. A parallel hardware scheduling of ECC based Edward's projective coordinates over prime finite field (GF (p)) will be studied in this paper to perform ECC doubling operation by using parallel hardware units. The analysis showed that parallelizing Edward's projective coordinates enhanced the performance factor by even three times over the serial design as it gives a considerable enhancement for the security against power/time attacks.
Keywords:	ECC Algorithm, GF (p) field, Modular Inverse, Edwards Curves, and Projective Coordinates
Source:	Journal of Theoretical and Applied Information Technology 20^th May 2015 -- Vol. 75. No. 2 -- 2015
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Title:	CLASSIFICATION OF BRAINWAVE USING DATA MINING IN PRODUCING AN EMOTIONAL MODEL
Author:	NURSHUHADA MAHFUZ, WAIDAH ISMAIL, ZALISHAM JALI, KHAIRUL ANUAR, MD JAN NORDIN
Abstract:	In this paper, classification of brainwave using real world data from Parkinson’s patients is presented. Emotional model is produced from the classification of brainwave. Electroencephalograph (EEG) signal is recorded on eleven Parkinson’s patients. This paper aim to find the “best” classification for the emotional model in brainwave patterns for the Parkinson’s disease. The work performed based on the two method phases which are using the raw data and pre-processing data. In each of the method, we performed for steps in the sum of the hertz and divided by total hertz. In the pre-processing data we are using statistic mean and standard deviation. We used WEKA Application for the classification with 11 fold validation. As a results, implecart from the classification tree performed the “best” classification for the emotional model for Parkinson Patients. The Simplecart classification result is 84.42% accuracy.
Keywords:	Classification, Brainwave, Emotional Model, Parkinson Patients
Source:	Journal of Theoretical and Applied Information Technology 20^th May 2015 -- Vol. 75. No. 2 -- 2015
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Title:	AACGFA : ADAPTING AUTO-CONFIGURATION GEOGRAPHICAL FIDELITY ALGORITHM FOR MOBILE WIRELESS SENSOR NETWORKS
Author:	MBIDA MOHAMED, DR EZZATI ABDELLAH
Abstract:	Today Mobile Wireless sensor networks (MWSN) are used in several areas. There are many environments of developments and designs MWSN in programing level according to projects needs, however in this article we will design a MWSN model using design tools as Wisen Profile (model devoted to a Driven Development MDD paradigm precisely in Topology of applications) that aims to extend the lifetime of MWSN and have a powerful communication covered network and also provide a number of nodes reachable in case the default path is isolated. We will simulate this new Algorithm of Topology control called AACGFA(Adapting auto-configuration geographical fidelity algorithm), and we proceed to a comparative study with GAFA (geographical adaptive fidelity) algorithm, to see if the AACGFA make more optimal energy consumption and strongest connectivity between nodes .
Keywords:	Mobile Wireless Sensor Networks (MWSN), Topology control (TC), Model Driven Development (MDD) , Wisen Profile(WP), geographical adaptive fidelity algorithm( GAFA), Duty Cycle, Feature Model (FM).
Source:	Journal of Theoretical and Applied Information Technology 20^th May 2015 -- Vol. 75. No. 2 -- 2015
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Title:	CASENG: ARABIC SEMANTIC SEARCH ENGINE
Author:	AMAL AL MUQRISHI, AWNY SAYED, MOHAMMED KAYED
Abstract:	Accurate information availability is a key factor for knowledge acquisition without going into extraneous information. Understanding searcher intent and the contextual meaning of terms as they appear in the searchable dataspace is a challenge that has been addressed and handled by many semantic search engines. As meaning encoded separately from data in semantic technology, adding, changing and implementing new relationships can be done easily. The evolution of semantic search added a new dimension of challenge due to a lack in support of the Arabic language. In this paper, we figure out the problem and implement a Semantic Search Engine (CASEng) for College of Applied Sciences, Oman. CASEng supports both Arabic and English search. It uses a Resource Description Framework (RDF) data and Lucene for indexing and searching to move from keyword-based search via Google and other engines to semantics-based search. The experiments show that both the spell-checker and the search engine perform well with a set of test queries.
Keywords:	Semantic Search, RDF, CASEng, Lucene, keyword-based search, semantics-based search
Source:	Journal of Theoretical and Applied Information Technology 20^th May 2015 -- Vol. 75. No. 2 -- 2015
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Title:	NETWORK SELECTION IN HETEROGENEOUS WIRELESS ENVIRONMENT USING DECISION MAKING ALGORITHMS-TOPSIS AND PROMETHEE
Author:	KSS ANUPAMA, DR S SRI GOWRI, DR B PRABHAKARA RAO
Abstract:	Forthcoming wireless environment is a fusion of numerous networks with diverse technologies deployed by individual operators. In such an environment, innovative network selection methodologies are required not only to provide “always best connected” service to mobile users but also to maximize network operator’s revenue. To fulfill such requirements, multiple attributes from each network are to be systematically assessed. Consequently network selection becomes an issue of multiple attribute decision making (MADM). Various MADM algorithms have been proposed for use in network selection decision process. This paper compares the performance of PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluations) an outranking MADM algorithm with TOPSIS (Technique for order of Preference by Similarity to the Ideal Solution (TOPSIS), a classical MADM algorithm in selecting the best network in a heterogeneous wireless environment. It also analyzes the effect of PROMETHEE and TOPSIS algorithms on ranking abnormality and mobile terminal distribution among the networks during handoff. A combination of Analytic Hierarchy Process (AHP) and Entropy method is used to assign weights to the decision criteria. Simulation results show that PROMETHEE algorithm outperforms TOPSIS in network selection decision making.
Keywords:	Network Selection, Handoff Decision, MADM, PROMETHEE, TOPSIS.
Source:	Journal of Theoretical and Applied Information Technology 20^th May 2015 -- Vol. 75. No. 2 -- 2015
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Title:	PREDICTING STUDENTS’ PERFORMANCE THROUGH CLASSIFICATION: A CASE STUDY
Author:	MASHAEL A. AL-BARRAK, MONA S. AL-RAZGAN
Abstract:	Performance in academic courses is among the most important factors affecting the quality of higher education available to students. In this paper, we use data mining techniques, specifically classification, to analyze students’ grades in different evaluative assignments for a course on data structures. For this purpose, we compare three different classifiers using real data from King Saud University to predict students’ performances. We apply classification techniques to both numerical and categorized attributes. Our results show that the model based on the Naïve Bayes algorithm provides the most accurate predictions. In addition we were able to obtain a model with a 91% accuracy to predict students failure in the course.
Keywords:	Educational Data Mining, Classification, Prediction, Naive Bayes, JRip
Source:	Journal of Theoretical and Applied Information Technology 20^th May 2015 -- Vol. 75. No. 2 -- 2015
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Title:	AN IMPROVED WATERMARKING RESISTANCE DATA COMPRESSION ON DIGITAL IMAGES USING HAAR WAVELET ORTHONORMAL BASIS DISCRETE COSINE TRANSFORM
Author:	M.SHARMILA BANU, DR.C.CHANDRASEKAR
Abstract:	Digital watermarking is an emerging area of research for developing diverse system in order to avoid the repetition and exploitation of secret data. Digital watermarking protects data contents such as images, audio and video files with higher accuracy rate. Recently, several lossy and lossless data compression methods were developed so far but with an additional computation burden making the system not flexible. When implementing, data compression algorithm on digital images, attaining robustness is one of the challenging issues. As the noise ratio is higher, the compressed data are not well reconstructed if compression is done on digital images. In my research work, HAAR Wavelet Orthonormal based Discrete Cosine Data Compression Transformation (DCDCT) is developed to improve the resistant level and to reduce the computational burden on digital images. Initially, the HAAR Wavelet Orthonormal based DCDCT method is composed of two parts namely, watermark compression and decompression operation. In data compression phase, transformation, digitizing and Entropy Encoder operations are carried out. DCDCT method performs the transformation operation through cosine transform, where the embedding data is converted into analog frequency signal components. Secondly, digitizing operation is processed using the Orthonormal wavelet function to perform mapping and improve the resistant level (i.e.,) avoidance of noise rate on data compression. Finally, HAAR wavelet differential Manchester procedure is used on encoding operation. The same three operations are carried out in reverse order for the decompression of data from digital images in DCDCT method. Experiment is conducted on factors such as Peak Signal Noise Ratio (PSNR) Difference, bit error rate and resistance ratio level.
Keywords:	Discrete Cosine Transform, Digital Watermarking, Data Compression, HAAR Wavelet Transform, Entropy Encoder, Frequency Signal.
Source:	Journal of Theoretical and Applied Information Technology 20^th May 2015 -- Vol. 75. No. 2 -- 2015
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Title:	EMPIRICAL STUDY OF GUI TO REUSE UNUSABLE TEST CASES
Author:	ALBERT MAYAN. J , LAKSHMI PRIYA. K , YOVAN FELIX. A
Abstract:	Now-a-days it is more important to upgrade web applications which are provided by companies due to changes in user requirements. In developing web applications the graphical user interface (GUI) plays vital role. Due to frequent changes in application it varies from old version and modified version. Finally, it makes some of the test cases as unfeasible in modified version. We mainly, focus in areas where modified version is affecting the old test suite to make some of the test cases as unfeasible. To rectify this problem, we used to make changes in input constraint values. Here, we consider regression testing to make testing more flexible whenever changes occurred. Testing can be done manually and also by using tools. By this technique we can make maximum number of unfeasible test cases to feasible in modified versions. By reusing the unusable test cases it requires less time to make modified version as more efficient and also reduces cost of regression testing.
Keywords:	Regression Testing, Feasible And Unfeasible Test Cases, Constraint Values, Web Applications
Source:	Journal of Theoretical and Applied Information Technology 20^th May 2015 -- Vol. 75. No. 2 -- 2015
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Title:	3D OBJECT SYMMETRY MEASUREMENT USING EXTENDED GAUSSIAN IMAGE
Author:	ABDELALIM SADIQ, YOUNESS TABII
Abstract:	In this paper, we state a new way for measuring symmetry of three-dimensional graphic object. The idea is based on the representation of three-dimensional objects by their Extended Gaussian Image (EGI). The EGI is constructed by mapping each surface normal of any object to the Gaussian sphere. The Gaussian sphere is presented by icosahedrons and 60 rotations are applied. An experimental evaluation demonstrates the satisfactory performance of our approach on a fifty three-dimensional models database.
Keywords:	3D Object, Extended Gaussian Image, Similarity Measure, Icosahedrons, Gaussian Sphere.
Source:	Journal of Theoretical and Applied Information Technology 20^th May 2015 -- Vol. 75. No. 2 -- 2015
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Title:	CONTEXT RANK BASED HIERARCHICAL CLUSTERING ALGORITHM ON MEDICAL DATABASES (CRBHCA)
Author:	SHAHANA BANO, K.RAJASEKHARA RAO
Abstract:	In this paper we proposed a method which avoids the choice of natural language processing tools such as pos taggers and parsers reduce the processing overhead. Moreover, we suggest a structure to immediately create a large-scale corpus annotated along with disease names, which can be applied to train our probabilistic model. In this proposed work context rank based hierarchical clustering method is applied on different datasets namely colon, Leukemia, MLL, Lymphoma medical diseases. Optimal rule filtering algorithm is applied on these datasets to remove unwanted special characters for gene/protein identification. Finally, experimental results show that proposed method outperformed existing methods in terms of time and clusters space.
Keywords:	Biomedical, Machine Learning, Gene/Protein, Clustering, Medline, Pubmed
Source:	Journal of Theoretical and Applied Information Technology 20^th May 2015 -- Vol. 75. No. 2 -- 2015
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Title:	TRIPLING FORMULAE OF ELLIPTIC CURVE OVER BINARY FIELD IN LOPEZ-DAHAB MODEL
Author:	SHARIFAH MD YASIN, ZAITON MUDA
Abstract:	In elliptic curve cryptosystem (ECC), scalar multiplication is the major and most costly operation. Scalar multiplication involves with point operations such as point addition, point doubling, and point tripling. Scalar multiplication can be improved by using efficient point operations. This research focuses on point tripling operation for elliptic curves over the binary field in Lopez-Dahab (LD) model. Currently, there is no existing tripling formula for this model. Traditionally, tripling is computed using one doubling followed by one addition (i.e. 3P=2P+P) with cost of 18M+8S, where M is field multiplication and S is field squaring. In this paper, we proposed tripling formulae with cost of 12M+7S. We proved the formulae and proposed its algorithm. The tripling saved 6M+1S which contribute to cost reduction in multiplication and squaring by 33% and 12.5% respectively when compared with the traditional method. For National Institute of Standards and Technology (NIST) curve (i.e. where a = 1), the cost of the tripling is further reduced to 10M+7S which saved 8M+1S from the traditional one. Further cost reduction in multiplication and squaring by 44% and 12.5% respectively.
Keywords:	Elliptic curve over binary field, scalar multiplication, point tripling, Lopez-Dahab
Source:	Journal of Theoretical and Applied Information Technology 20^th May 2015 -- Vol. 75. No. 2 -- 2015
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Title:	A FAULT TOLERANT ALGORITHME FOR MULTIPLE RESOURCES SHARING IN DISTRIBUTED SYSTEMS
Author:	TAHAR ALLAOUI, MOHAMED BACHIR YAGOUBI
Abstract:	In this paper we present a fault tolerant algorithm to resolve the K mutual exclusion problem in distributed systems. Our algorithm, which is a token based, ensures K mutual exclusion with an interesting message complexity where the number of exchanged messages to satisfy each request is between 0 message in the best case and K+2 messages in the worst case, where K denotes the system’ resources number. In this algorithm, we introduce a fault tolerance mechanism that tolerates the likelihood crash of several nodes at the same time and ensures the system well-functioning after messages loss without relying on complex election algorithms to generate new tokens.
Keywords:	Mutual exclusion, K-mutual exclusion, Critical section, Distributed systems, Fault tolerance, Tokens.
Source:	Journal of Theoretical and Applied Information Technology 20^th May 2015 -- Vol. 75. No. 2 -- 2015
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Title:	IMPACT OF PERCEIVED ORGANISATION SUPPORT AND ORGANISATION COMMITMENT ON TURNOVER INTENTION OF WOMEN EMPLOYEES IN IT INDUSTRY
Author:	DR SARANYA R , DR MUTHUMANI S
Abstract:	As the information economy expands, the information technology workforce becomes the key to a developing nation economic health. Even after the dotcom bubble burst, IT jobs losses and unemployment growth were short lived. Even though there is a shortage of IT worker supply, hence organization should support and motivate the employees to retain them. This study focuses on Perceived organization support so that it paves way for reducing the turnover intention of employees in IT industries.
Keywords:	Perceived organization support, Organization commitment, Turnover intention
Source:	Journal of Theoretical and Applied Information Technology 20^th May 2015 -- Vol. 75. No. 2 -- 2015
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Title:	COMMUNICATION IS THE SOURCE OF CAREER PROBLEMS AMONG HEARING IMPAIRED GROUP IN MALAYSIA
Author:	RUZIMI MOHAMED, OTHMAN IBRAHIM, MEHRBAKHSH NILASHI
Abstract:	Hearing impaired group claimed that they having difficulty in order to get a job and a few of them also said that they likely to change over after they are able to get the position. It seems to be difficult to employ any kind of job due to unstable economy plus with a huge number of foreign workers immigrate into our country. Hearing impaired people seem to change over their job and at the end making unstable economy for them. Many efforts and ways that been made by the government and non-government organization to open their mind and at the same try to help. However, there is no positive outcome can be count over. Moreover, when all issue on hearing impaired group be voice out, there is no evidence to support all the problems and failed to detect the main factor related to this issues. Research that include with quantitative, descriptive and interview towards these group in order to identify the main cause in employment issue had be done successfully with Yayasan Pembangunan Keluarga Darul Ta`zim. The result that been gather from 33 respondents hearing impaired show that 28 people having problem in their career (mean score 1.15). While through this research too, problem in communication has been detected as a major problem with mean score 2.48 follow by issue on low salary (mean score 2.24) and higher workloads (mean score 2.03). For hearing impaired people that get high level of education, they have least problem in their career with standard deviation 0.36. In this research, it will explain more on the main and other cause and also discuss more on effect that cause by those problem towards hearing impaired group. And at the same time try to find the solutions for all problems.
Keywords:	People with Disability (PWD), Hearing Impaired Group, Problem in Communication, Employment Issue Faced By Hearing Impaired Group.
Source:	Journal of Theoretical and Applied Information Technology 20^th May 2015 -- Vol. 75. No. 2 -- 2015
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Title:	APDATI: E-FISHING LOGBOOK FOR INTEGRATED TUNA FISHING DATA MANAGEMENT
Author:	DEVI FITRIANAH, ACHMAD NIZAR HIDAYANTO, REMMY A.M. ZEN, ANIATI MURNI ARYMURTHY
Abstract:	It is an absolute requirement for the fishing industry to have a management system in order to increase the productivity and the competitiveness in the fishing industry, specially in Indonesia. In this paper we proposed to develop an ICT based integrated tuna fishing management system: E-Fishing Logbook APDATI. The system encompasses all the business process in the fishing industry, start from logging the fishing, licensing, fishing monitoring until the export licensing to the other countries. The system should accomodate all the stakeholders in the fishing industry which are going to be the user of the future system. They are the Minister of The Marine Affair and Fishing (MMAF), the fishing company and the fishing ships. Based on the integrated architecture system proposed in the previous study, we developed the system in two platforms, the web based system and the mobile based system. The development methodology for both systems start from the user requirement analysis until the application design that meets the requirements based on the business process identified. Of all the stages conducted in the system development, we have succeded to design a well suited integrated tuna fishing data management system that contribute to the development of the Indonesian Fishing Industry.
Keywords:	E-Fishing Logbook, Fishing Data Management, Mobile Documentation, Android Application, Indonesia
Source:	Journal of Theoretical and Applied Information Technology 20^th May 2015 -- Vol. 75. No. 2 -- 2015
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