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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
April 2015 | Vol. 74 No.2

Title:	ONTOLOGY MATCHING: IN SEARCH OF CHALLENGES AHEAD
Author:	FAROOQUI N.K, Dr. MOHAMMED FAUZAN NOORDIN, ABDULHAFEEZ MUHAMMAD
Abstract:	This paper presents key features and challenges for the development of the next generation ontology matcher. Matching elements of two data instances plays an important role in e-business, multilingual data instances, biomedical and open data cloud. This paper elaborates technologies, tools, algorithms and methods used by recent ontology matchers. Ontology matching has become a Meta Research field where research topics such as developing advanced reasoner, algorithms for optimum matching, working on Meta matchers and improving results are major open research areas. In order to find the future direction towards the development of optimum matchers we illustrated a list of future challenges, key features, and their importance. This paper does not propose solution or framework for an optimum matcher. Reader will get help in deciding next ontology matching techniques in his domain of ontology matching research.
Keywords:	Context, Knowledge Management, Ontology matching, Semantic web, Semantic technologies, Semantic literature review.
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2015 -- Vol. 74. No. 2 -- 2015
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Title:	IDENTIFYING THE INFORMATION-SEEKING BEHAVIOURS AMONG SCHOOL OF COMPUTING UNDERGRADUATE STUDENTS
Author:	MASLINDA MOHD NADZIR
Abstract:	The purpose of this study is to investigate information-seeking behaviours among School of Computing undergraduate students within the context of searching information for university tasks. As university students, having the skills to gather information, both from the library and the Internet will help them to complete university tasks such as course assignments and project papers. With the advent of information technology, gathering information is so much faster and easier. It is therefore imperative that undergraduates are equipped with some information-seeking skills. A survey method was used to collect data for this study. A questionnaire was randomly distributed to 170 undergraduate students at School of Computing, Universiti Utara Malaysia in Malaysia. The overall response rate was 100%. The collected data was analysed by using Statistical Package for Social Sciences (SPSS) for Windows version 19.0. The findings show that academic information is the most needed information for completing university tasks and Google search engine is the most frequently used search engine by the students when searching academic information. Therefore, this study concludes that most of the students prefer to use search engines to search academic information.
Keywords:	Information needs, information search, information-seeking behaviour, undergraduate student
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2015 -- Vol. 74. No. 2 -- 2015
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Title:	PERSONALIZING E-LEARNING SYSTEM FOR COURSES USING PREFIX SPAN ALGORITHM
Author:	S.MURUGANANDAM, DR.N.SRINIVASAN
Abstract:	With a great variation of topics and titles in a particular course and users’ reading or learning behaviors, the arrangement of the topics in the E-Learning system is more beneficiary than the sequential pattern which are normally used. It has been proved that by mounting a model with the help of Prefix Span Algorithm. The algorithm is used to mine the users learning style and guiding the learners about the sequence of the topics on the order mined learning patterns. The experimentation is performed by comparing the satisfaction levels of users using the normal sequential pattern and the patterns mined by using the Prefix Span algorithm.
Keywords:	Learning System, Personalization, learner profile, Sequential pattern mining, Prefix Span Algorithm, Sequential mining
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2015 -- Vol. 74. No. 2 -- 2015
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Title:	ODMM - AN ONTOLOGY BASED DEEP MINING METHOD TO CLUSTER THE CONTENT FROM WEB SERVERS
Author:	S.GANESH KUMAR, Dr.K.VIVEKANANDAN
Abstract:	ODMM aims to present a novel ontology-based content-mining approach to cluster research proposals deep web search based on their similarities. The used method is efficient and effective for clustering research proposals with English texts. Text-mining methods have been proposed to solve the problem by automatically classifying text documents. Current search methods for grouping proposals are based on manual matching of similar search discipline keywords. The advantages of this method are that it can extract three types of data records, namely, synonyms data records, hypernymy data records, and hyponyms data records, and also provides options for aligning iterative and disjunctive data items. The proposed ODMM is used together with statistical method and optimization models and consists of reference to the ontology; the new proposals in each discipline are clustered using a self-organized mapping (SOM) algorithm. The SOM algorithm is a typical unsupervised learning neural network model that clusters input data with similarities. Our new techniques used in data extraction from deep webs needs to be improved to achieve the efficiency and finally the result is given like the result comes for user query on multi view point like web links, news contents and the synonym hyponym and hypernym for the input term specified.
Keywords:	Semantic Web Services, ontology, mapping, ontology search engine
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2015 -- Vol. 74. No. 2 -- 2015
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Title:	A RELIABILITY ESTIMATION MODEL USING INTEGRATED TASKS AND RESOURCES
Author:	MOHD ADHAM ISA, DAYANG NORHAYATI ABANG JAWAWI
Abstract:	With the growing size of modern systems, the composition of a number of resources for a system is becoming increasingly more complex. Thus, a reliability analysis for that system is essential, especially during design time. The reliability estimation model is rapidly becoming a crucial part of the system development life cycle, and a new model is needed to enable an early analysis of reliability estimation, especially for the system under study. However, the existing approach neglects to address the correlation between resource and system task for estimation of system reliability. This subsequently restricts the accuracy of estimation results and thus, could misguide the reliability analysis in general. This paper proposes a reliability estimation model that enables the computation of the system reliability as a product of resource and system task. The system task reliability is treated as a transition probability that the resource may execute for subsequent resources. To validate the model, one real case study is used and the accuracy of the estimation result is compared with the actual reliability values. The result shows the estimation accuracy is considered at an acceptable level and some of the scenarios have recorded higher accuracy values than previous models. To evaluate our model, the result is compared with that of the existing model and shows our model providing a more accurate estimation for a more complex scenario
Keywords:	System reliability estimation, graph-theory, white-box test
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2015 -- Vol. 74. No. 2 -- 2015
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Title:	CONTENT BASED IMAGE RETRIEVAL FOR MOBILE SYSTEMS
Author:	P.JEYANTHI
Abstract:	This paper proposes, a hybrid approach employing texture and colour feature is investigated. A modified approach for performing texture based feature extraction by gray level co-occurrence matrix and colour based feature extraction by colour cooccurrence vector. The Euclidean distance classifier is used for finding the similarity measures between the query image and the database image. In our proposed system we integrate the colour based image retrieval and texture based image retrieval. The images retrieved by integrating the above features, are ranked using Genetic Algorithms (GA).This content based image retrieval (CBIR) implemented for android mobile system.
Keywords:	Android Mobile System, Color Histogram, Gray Level Co-Occurrence Matrix (GLCM), Content Based Image Retrieval (CBIR), Feature Extraction, Euclidean distance.
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2015 -- Vol. 74. No. 2 -- 2015
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Title:	SPEED BACKSTEPPING CONTROL OF THE DOUBLE-FED INDUCTION MACHINE DRIVE
Author:	MOHAMMED TAOUSSI, MOHAMMED KARIM, BADRE BOSSOUFI, DALILA HAMMOUMI, AHMED LAGRIOUI
Abstract:	This paper presents a new strategy to improve the performances of speed control of a Double-Fed Induction Machine (DFIM), whose stator and rotor windings are connected to a voltage inverter PWM (Pulse Width Modulation) independently. This work shows the robustness of the adaptive Backstepping control strategy applied to the DFIM. The main objective of this work is to stabilize the speed of the machine to be used in the Aeolians systems. The overall stability of the system is shown through using Lyapunov technique. Therefore, this paper presents the study and analysis of the Backstepping control. Finally, the simulation results of the Backstepping technique are valid on Matlab / Simulink, followed by a detailed analysis and clearly show that the proposed system provides good static and dynamic performance.
Keywords:	Double-fed Induction machine (DFIM); Backstepping control non-adaptive; PWM; Robustness.
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2015 -- Vol. 74. No. 2 -- 2015
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Title:	A NOVEL APPROACH FOR FINGERPRINT RECOGNITION WITH DYNAMIC TIME WARPING
Author:	VENKATRAMAPHANIKUMAR S, V KAMAKSHI PRASAD
Abstract:	Biological features such as face, fingerprint, palm print and iris are widely used for the identification of a human. Due to low cost acquisition devices and high accuracy, fingerprint recognition is broadly used. Fingerprint is unique and pattern unchanged during the life time. A novel approach for fingerprint recognition system based on Gabor Wavelets and Dynamic time Warping is proposed in this work. Firstly, image enhancement has done in both spatial and frequency domains with Histogram Equalization and Fast Fourier Transform. 24 optimized Gabor kernels are generated in spatial and frequency domains and those are invariant to 6 orientations and 4 scales. In this work, the performance of the proposed method is evaluated on VFR and FVC-2006 databases. Based on the constraints of Dynamic Time Warping, an optimal warp has identified among the feature vectors and achieved 94.2% and 83.6% recognition rates on VFR and FVC-2006 databases respectively.
Keywords:	Fingerprint Recognition, Histogram Equalization, Fast Fourier Transform, Gabor Wavelets, Dynamic Time Warping
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2015 -- Vol. 74. No. 2 -- 2015
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Title:	DETECTION OF VIDEO FORGERY: A REVIEW OF LITERATURE
Author:	OMAR ISMAEL AL-SANJARY , GHAZALISULONG
Abstract:	In the current times the level of video forgery has increased on the internet with the increase in the role of malware that has made it possible for any user to upload, download and share objects online including audio, images, and video. Specifically, Video Editor and Adobe Photoshop are some of the multimedia software and tools that are used to edit or tamper medial files. Added to this, manipulation of video sequence in a way that objects within the frame are inserted or deleted are among the common malicious video forgery operations. In the present study, literature concerning video forgery is reviewed primarily those that use several video forgery detection in the form of passive blind method on three types of forgery namely cloning forgery, source cameral identification and splice forgery. The present study employed a video authentication method that detects and determines both region duplication and frame duplication in terms of video forgery, and locates factors that impact video forgery. In the present study, video processing into sub-blocks and the moments geometric features for every macro-block were extracted. This led to the enhanced accuracy of detection. Moreover, the optimum sorting algorithm led to minimized computational time taking account number of blocks and features numbers into consideration.
Keywords:	Video Forgery Detection, Group Of Pictures (GOP), Copy–Move Forgery Detection
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2015 -- Vol. 74. No. 2 -- 2015
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Title:	SCALABLE MULTIDIMENSIONAL ANONYMIZATION ALGORITHM OVER BIG DATA USING MAP REDUCE ON PUBLIC CLOUD
Author:	AMALRAJ IRUDAYASAMY, DR. AROCKIAM L
Abstract:	It appears that everybody observes with special attention, the occurrence of big data and its practice. There is no disbelief that the big data uprising has instigated. Though the practices of big data propose favorable business paybacks, there are substantial privacy implications. Multidimensional generalization anonymization scheme is an actual method for data privacy preservation. Top-Down Specialization (TDS) and Bottom-Up generalization (BUG) are two methods to attain multidimensional anonymization. However, prevailing methodologies for multidimensional generalization anonymization scheme disconcerts parallelization proficiency, thereby missing scalability while managing big data on cloud. TDS and BUG suffer from poor performance for certain value of k-anonymity parameter if they are utilized individually. In this paper, we recommend a hybrid method that combines TDS and BUG together for competent multidimensional anonymization over big data. Additionally, Map reduce based algorithms for two components (TDS and BUG) to increase high scalability cloud are designed. Experiment estimations determine that the hybrid method expressively progresses the scalability and proficiency of multidimensional generalization anonymization system over prevailing methods.
Keywords:	Big data; cloud computing; data anonymization; privacy preservation; Map reduce
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2015 -- Vol. 74. No. 2 -- 2015
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Title:	E-WASTE HANDLING IN DKI JAKARTA PRIVATE HIGHER EDUCATION INSTITUTION
Author:	NURIL KUSUMAWARDHANI SOEPRAPTO PUTRI, HUDIRARTO, ARGOGALIH, HANDIMULJOREDJO
Abstract:	The growth of electronically usage has given rise to a new environmental challenge, known as electronic waste. The negative impact that is caused from the waste of electrical and electronic equipment (WEEE), has forced many institutions to take some serious action. In the other hand the dependencies toward electronic devices are getting higher, especially in the education area. This paper discusses the E-Waste handling in the area of private higher education institution. Private higher education institution gives significantly contribution to the increasing of the electronic waste. The use of technology has grown rapidly caused by the growth of the student’s intake as well as the need to provide them with the latest technology. However, E-Waste model has been developed and still under reviewed continuously.
Keywords:	E-Waste, Electronic Waste, Green Computing, Green IT
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2015 -- Vol. 74. No. 2 -- 2015
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Title:	PROTOTYPING, TESTING AND CONTROL ENERGY FOR ACTIVE-REGENERATIVE ELECTROMAGNETIC SHOCK ABSORBER BASED QUARTER CAR MODEL
Author:	ARIF INDRO SULTONI, I NYOMAN SUTANTRA, AGUS SIGIT PRAMONO
Abstract:	In this paper, electromagnetic shock absorber for passenger car is designed and fabricated. Series of experiment is conducted to attain damping and current constant. Controllers are designed for energy regeneration and comfort based quarter car model. Shock absorber is designed and prototyped to absorb vibration energy and dissipate the energy as control actuation. The shock absorber use DC permanent magnet motor to absorb and dissipate power. Prototype is tested on Auto Damping Test Machine (ADFT). With the decreasing of external load, damping force and generated current are increased. Formulation of DC motor for electromagnetic damper is developed. Model of active-regenerative electromagnetic suspension and some controller strategies is simulated based to test results. Tracking reference, PI-tracking reference and Multi objective H∞ controller are presented and compared to determine their performance due to comfort, energy regeneration and consumption. Simulations are carried out with unevenness road input. Amount of regenerated energy is harvested when system at passive mode with high body acceleration. Multi objective controller is satisfy to maintain body acceleration, suspension travelling and tire deflection with minimum power requirement. PI-tracking reference controller has less body acceleration, suspension travelling and tire deflection compare to tracking and H∞ multi objective controller but it need the highest power consumption. Averages of RMS body acceleration are: 1.81, 0.59, 0.42, 0.46 m/sec2 respectively for passive, tracking reference, PI-tracking reference and multi objective H∞ controller and power consumption are: 49.58 Watt, 72.11 Watt, 51.49 Watt, respectively for tracking reference, PI-tracking reference and multi objective H∞ controller when 20Ω electric load applied for the prototype with C Class road input and 50km/h vehicle speed. Average power regeneration at passive mode is: 19.83Watt that complies with experiment result.
Keywords:	Electromagnetic Shock Absorber, Passenger Car, Control Energy, Active-Regenerative.
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2015 -- Vol. 74. No. 2 -- 2015
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Title:	A NOVEL RULE BASED APPROACH FOR ENTITY RELATIONS EXTRACTION
Author:	MUJIONO SADIKIN, ITO WASITO
Abstract:	There are always new challenges in the extraction of object (entity) relations contained in unstructured or semi structured text documents found in the Internet, due to the volume of the documents, the evolution of the text language, and the fast Internet growth. In this paper, the authors present the description and the experimental results of a novel role based approach in mining the entities and its relations. The proposed method defines a new concept of entity relationship which treat entities relation as the relation of the main object and its supporting object. The relation between these objects are extracted through pattern learning process that utilize the Indonesia WordNet as an external knowledge. Based on the performance evaluation of the proposed method, it can be confirmed that it is feasible to apply the method in the area. The feasibility of the method is measured by the accuracy of the extraction process in 10 experiments. The average F-score values for the experiments are 0.895 and 0.795 in main object extraction and supporting object extraction respectively.
Keywords:	object extraction relation, object, object interaction, pattern learning, tuple scoring
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2015 -- Vol. 74. No. 2 -- 2015
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Title:	DESIGN OF LOW POWER REDUCED WALLACE MULTIPLIER WITH COMPACT CARRY SELECT ADDER, HALF ADDER & FULL ADDER USING CMOS TECHNOLOGY
Author:	P.RADHIKA, Dr.T.VIGNESWARAN
Abstract:	The Wallace Multiplier is mainly used in the Arithmetic & Logic Unit (ALU) to perform the scientific computation in processors, controller etc... The existing multiplication technique like booth multiplier, array multiplier etc requires more time in multiplications. Hence Wallace Multiplier has been designed by using the parallel process to reduce the delay. The regular Wallace Multiplier requires more number of half adder and full adders in the reduction phase. So the chip size (Area) is high in the regular Wallace multiplier. The complexity reduced Wallace multiplier has been designed with less number of half adder and full adders. In this paper, the compact carry select adder, half adder and full adder are designed, which has been incorporated into the complexity reduced Wallace multiplier to reduce the area and delay than the existing reduced Wallace multiplier. The compact half adder and full adder are designed by using static CMOS technology with 6 transistors and 16 transistors instead of 12 transistors and 24 transistors. Also the compact carry select adder has been constructed based on compact half adder with 6 transistors, compact AND, OR and XOR gates with 4 transistors for each gate. So the proposed complexity reduced Wallace multiplier offers low power and less area than the existing Wallace multiplier. Simulation is performed by using Tanner Tool v14.1.
Keywords:	Static CMOS technology, Compact half adder & full adder, complexity reduced Wallace Multiplier, reduced carry select adder and Tanner Tool.
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2015 -- Vol. 74. No. 2 -- 2015
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Title:	ANALYSIS AND EFFICIENCY OF ERROR FREE COMPRESSION ALGORITHM FOR MEDICAL IMAGE
Author:	J HEMAMALINI, D KAAVYA
Abstract:	Now a day’s number of medical images are generated in scan center. These are emerging tool to diagnose diseases. The storage of an image is an economical problem of scan center. Hence digital image compression is necessary in order to solve the problem. Normally during compression, loss of data is not acceptable. Hence the scan images have required high resolution and without any loss of data in a compressed and decompressed digital image. To solve this problem, this paper implements an algorithm known as 8 bit/pixel code string algorithm which is based on pixel redundancy reduction by formulating matrices. The formulating matrices are BM (Binary Matrix) and GSM (Gray Scale Matrix) which is used in compression and decompression process. This method will be useful in Telemedicine, Teleradiology purposes.
Keywords:	Digital image compression, 8 bit/pixel code string, BM, GSM.
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2015 -- Vol. 74. No. 2 -- 2015
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