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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 2016 | Vol. 86 No.2

Title:	HARDWARE IMPLEMENTATION OF SATELLITE IMAGE COMPRESSION FILTER USING LIFTING BASED5/3 WAVELETS
Author:	SENDAMARAI P., DR GIRIPRASAD M.N
Abstract:	Most of the satellite missions are of the remote sensing type used to image the places of interest on the Earth. With improving technology, the imaging payloads are become complex and as a result the data generated by these payloads is increasing exponentially. With limited on board resources and capabilities, it is important to process the data on board and compression of payload data is one of the important and crucial requirements. Lossless data compression is required as the raw data is of extreme importance and any loss of information cannot be afforded. This work presents a Le Gall 5/3 Wavelet based image compression implementation using Lifting technique in an FPGA for onboard payload data compression. The compression core achieves an operating frequency of 251MHz with a power consumption of 384mW. The image compression performance metrics are also evaluated and a PSNR of 29dB and compression ratio of 2.2 is achieved.
Keywords:	Remote Sensing, image compression, Le Gall 5/3, lifting, PSNR
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2016 -- Vol. 86. No. 2 -- 2016
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Title:	IMPLEMENTATION OF SINGLE SIGN ON USING THE CONCEPT OF METHOD OAUTH (OPEN AUTHORIZATION) ON THE WEB PORTAL
Author:	AWAN SETIAWAN, MOKH. HENDAYUN, SUCI FITRI YANTI
Abstract:	Along with the development of the Internet, many system have been built that operates in real-time and online, which allows one to access data from anywhere and get the latest information. One system, that is used to provide data services are the portals. Portal is a medium that is used to represent complex information through the Internet in an integrated way. Single Sign On (SSO) is a method to incorporate web applications with the aim of combining the existing applicationinto a site called Web Portal. With the Web Portal using Single Sign On (SSO) with OAuth method, meaning each user only needs to have one username, one password. If you want to get the service in the Web portal, the user only needs to login once be able to use all of the services of existing applications in the Web portal. It can also facilitate in organizing existing user data, so that the security of user data is more secure, because using a centralized storage of user data.
Keywords:	Single Sign On, SSO, OAUTH Method, Web Portal
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2016 -- Vol. 86. No. 2 -- 2016
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Title:	CLASSIFICATION OF DRIVER FATIGUE STATE BASED ON EEG USING EMOTIV EPOC+
Author:	Brilian T. Nugraha, Riyanarto Sarno, Dimas Anton Asfani, Tomohiko Igasaki, M. Nadzeri Munawar
Abstract:	Driver fatigue is a major issue since many people have been aware about safety degree of driving. In this regard, this paper proposes methods and application to determine the driving fatigue state for every 3 minutes. The collected EEG data come from 30 participants that were taken their EEG data using Emotiv EPOC+ with the duration of 33 or 60 minutes during driving simulation and their answers about the driving fatigue states for every 3 minutes. The participant and channel outliers were determined based on the correlation coefficient channels results with 3 highest correlation coefficient results ≤ 0,45 and the frequency of channels shown in the 3 highest correlation with counts ≥ 7. The data that have been determined their participant outliers will be grouped into class 1 (fit/alert) or class 2 (fatigue/sleepy). The preprocessing and classification will use the grouped data with the selected channels. The proposed method gives accuracy results using the KNN classification method with the maximum mean accuracy 96%, minimum accuracy 90%, and maximum accuracy 100%; and using the SVM classification method with a maximum mean accuracy 81%, minimum accuracy 60%, and maximum accuracy 90%.
Keywords:	Electroencephalogram (EEG), Find Significant Channels, K-Nearest Neighbors (KNN), Driver Fatigue Prediction, Find The Best Features
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2016 -- Vol. 86. No. 2 -- 2016
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Title:	REGULAR PATTERN MINING ON DYNAMIC DATABASES USING VERTICAL FORMATE ON GIVEN USER REGULARITY THRESHOLD
Author:	M.N.S.Gangadhar, Dr M.Sreedevi
Abstract:	Ascertaining stimulating patterns in effervescent databases is often an exigent task in data mining due to number of transactions arriving dynamically with rapid rates, which is ridiculously expensive in mutually time and space. Mining frequent patterns is a outmoded mining technique in data mining applications, which is based on support count of item set. Support count of item set is not only sufficient, regularity is also considered and required to mine interesting patterns in data mining. As of late, standard itemset mining picked up parcel of consideration in information mining research as a result of its event conduct. In this paper we propose a strategy called MRPDyD (mining standard examples on element information bases) to mine general itemsets in element databases utilizing vertical information position. Our MRPDyD system creates complete arrangement of standard examples in element databases for a client given consistency edge. Our exploratory results demonstrate that this strategy is effective in memory use and execution time.
Keywords:	Regular pattern; Dynamic databases; vertical data format; Sliding window technique
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2016 -- Vol. 86. No. 2 -- 2016
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Title:	ULTRA LOW POWER ENERGY HARVESTER USING HYBRID INPUT FOR WIRELESS COMMUNICATION DEVICES – A REVIEW
Author:	MUSA ALI ALBRNI, JAHARIAH SAMPE, MD SHABIUL ISLAM, BURHANUDDIN YEOP MAJLIS
Abstract:	Energy limitations are commonly considered as an essential constraint of wireless and mobile devices. Mobile phone needs to be charged frequently which is a time consuming process. Energy harvesting has appeared as a favorable technology to solve the problem of energy constraints in mobile phone. This work proposes a new architecture of Ultra Low Power Hybrid Energy Harvester (ULP HEH) that can be employed in wireless communication devices. The proposed architecture is utilizing three hybrid sources which are: Thermoelectric Generator (TEG), Radio Frequency (RF) and Vibration. TEG is depending on the variance of temperature between the surrounding environment and the heat resulting from the power losses in the device. Vibration is related to the vibrating sources like motor or shaking the device. Radio Frequency signals are on purpose radiated by broadcasting station antennas and cellular phone antennas. Having three hybrid sources will help to overcome the limitations of single source harvester. The ULP HEH will be firstly designed and then modeled to be simulated later by using PSPICE software and finally established in 0.13 µm CMOS technology. Verilog coding under Mentor Graphics will be used for coding the established ULP HEH and then for real time implementation it will be downloaded to Field Programmable Gate Array (FPGA). The expected result from this harvester is to achieve 4.2 V as an output voltage, which all new mobile phones are made to be compatible with, from input range of 20 mV- 500 mV with high efficiency and reliability.
Keywords:	Energy constraints, Energy harvesting, Ultra Low Power (ULP), Hybrid Energy Harvester (HEH), Charging mobile phone
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2016 -- Vol. 86. No. 2 -- 2016
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Title:	ON SOME PROBLEMS AND APPROACH TO SOLUTION THEREOF UPON COMPUTING IN RESIDUE NUMBER SYSTEM
Author:	ALEXEY ALEXEEVICH LYUBOMUDROV, ALEXEY ALEKSANDROVICH BASHKOV
Abstract:	Major problems occurring upon designing of computing tools in residue number systems (RNS) include number conversion from positional number systems into RNS and reverse. A possible approach to solution of these problems is selection of RNS base values. This work proposes series of RNS base values in the respective forms of 2^k,2^k - ,2^k + . With these base values upon number conversion mathematical operations in positional number systems are excluded, and favorable conditions are established for spreadsheet computing. This reduces time consumptions, simplifies designing of computing tools and creates positive backgrounds for further researches, hence, creation of computing tools of higher rate operating in RNS.
Keywords:	Residue Number Systems, Positional Number Systems, Number Conversion, Base Series, Selection Of Base Values, Spreadsheet Computations.
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2016 -- Vol. 86. No. 2 -- 2016
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Title:	LINKING NATIONAL STANDARDS OF DISTANCE EDUCATION WITH E-LEARNING ECOSYSTEM
Author:	PAULA DEWANTI
Abstract:	The standards in the educational system present specific expectations on the students’ ability in comprehending the information provided in theories and practices as well as setting guidelines to set estimation on students’ performance. It is improved in a planned, targeted, and sustainable in accordance with the changing demands of local, national, and global. Education ecosystem is seen as a compilation of supportive and complementing education institutions which feature different approaches such as the numbers of student enlisting, nationality, cultural surrounding, types of activity, level of academy, subjects and/or disciplines of the study, interest for the research and value. Given the increase in the number of students studying at colleges and universities outside their home countries, recently the research community has believed that an e-Learning Ecosystem is the next generation of the e-Learning. Accordingly, any education superintendents need to pay attention and put quality as a means to obtain the benefits of the global competition that can improve and enhance education activities. This paper seeks to provide a new multi-criteria approach to assess thus recognize any opportunity in a way that can provide a better learning experience and helping students to achieve their full potential thus escalating the level of quality for higher education to better support learners and keeping up with the global progress.
Keywords:	Standards, Distance Learning, Higher Education, E-Learning Ecosystem, Educational System
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2016 -- Vol. 86. No. 2 -- 2016
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Title:	DISCOVER COMPATIBILITY: MACHINE LEARNING WAY
Author:	Er. PRITAM R. AHIRE, Dr. PREETI MULAY
Abstract:	To live in harmony, it is advisable to have awareness of matching among various individual behaviors. Naïve Bays algorithm with extensions is executed on Zodiac Signs and Name Style datasets to develop a research system. This system is implemented to understand how compatible an individual is based on not only zodiac signs but numerology also. Numerology is a science which suggests different naming style, with unique spelling of person. Every spelling is supported with special set of characteristics. These naming style characteristics are matched with zodiac signs to find similarity index values, which gives compatibility about various relations including family, professional and friend.
Keywords:	Zodiac Signs; Compatibility; Numerology; Similarity Index.
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2016 -- Vol. 86. No. 2 -- 2016
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Title:	DC/FAULT ANALYSES IN SMART GRID USING ARTIFICIAL NEURAL NETWORK
Author:	LOUGHMANE CHEIKH AHMEDOU, M.OULD.AHMEDOU, EL ALAMI SEMMA
Abstract:	Detection, isolation and fault diagnosis have become necessary steps for improving the reliability of a smart grid (SG) operation. Several methods have been developed based on Kalman filter and other. Those methods allow detecting simultaneous faults, but can’t select exactly the attacked busses. In this paper, we propose an improved method for detection and insulation in real time of multiple simultaneous faults in SG. It is based on an artificial neural network (ANN). For this, a mathematical model of a multi-bus network was used for the learning of the neural network developed. At the output of the neural model, a page-Hinkly test was performed to facilitate the detection steps. This method is able to detect and isolate any simultaneous faults on each bus.
Keywords:	Artificial Neural Network (ANN), Bus, Electrical Network, Matlab-Simulink, Page-Hinkly, Smart Grid.
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2016 -- Vol. 86. No. 2 -- 2016
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Title:	MATHEMATICAL MODELLING FOR PROTON EXCHANGE MEMBRANE FUEL CELL (PEMFC)
Author:	MAASPALIZA AZRI, AYU NURFATIKA ABDUL MUBIN, ZULKIFILIE IBRAHIM, NASRUDIN ABD.RAHIM, SITI ROHANI SHEIKH RAIHAN
Abstract:	Proton Exchange Membrane Fuel Cell (PEMFC) is one type of the renewable energy that are current increasingly popular in industry. The cost for the implementation of the PEMFC system is quite high in order to use in the experimental research field. Therefore, the simulation modelling is very useful to emulate the PEMFC system in real work. The objective of this paper is to develop the simple mathematical equation for steady-state and thermodynamic modelling based on the equivalent electrical circuit of the PEMFC. The Matlab/Simulink is used to simulate the modelling based on the practical parameters of the Horizon H-500 fuel cell stack. Comparison performance of parameters affects on the PEMFC model is investigated. The graph for I-P curve, I-V curve and the losses involve in the reaction are discussed.
Keywords:	Renewable Energy, Fuel cell, Proton Exchange Membrane Fuel Cell (PEMFC), Modelling, Matlab/Simulink
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2016 -- Vol. 86. No. 2 -- 2016
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Title:	TAXONOMY FRAMEWORK OF ERP SUCCESS USAGE IN SMEs IN MIDDLE EAST REGION
Author:	MUHMMAD ISLAM NOFAL, ZAWIYAH M. YUSOF
Abstract:	Enterprise Resource Planning (ERP) implementation is regarded as complex, cumbersome and costly, often exceeds the initial estimated resources. ERP is designed to model and automate basic processes across the organization over a centralized database sheet, or any type of tools that are used by organization. The success of ERP system usage does not require the demolishing of the traditional ERP system models, but instead re-platforming and hosting them. ERP application is often viewed as a strategic investment that can provide significant competitive advantage with positive return thus contributing to the company’s revenue and growth. Despite such strategic importance given to ERP, the implementation success to achieve the desired goal has been viewed disappointing. Small and medium sized enterprises (SMEs) encountered failures in the utilization of ERP. This paper presents the results of a study which identify the critical issues involved in the utilization of ERP in SMEs in Middle East countries. Over 50 previous works were critically reviewed to identify the main critical success factors (CSFs) for ERP usage in different industries with the aim to propose a taxonomic framework that can depict and identify the main CSFs that have impact on ERP usage success. The framework would help to improve the business outcome and help design new strategies for ERP projects in SMEs.
Keywords:	Taxonomy framework; Critical success factors; Enterprise resource planning; Small and Medium Sized enterprises
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2016 -- Vol. 86. No. 2 -- 2016
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Title:	ENHANCED ROUTING BASED ON GRAPH SPLIT FOR MULTISERVICE WSNS
Author:	JIHED KHASKHOUSSI , RIDHA OUNI , ABDELLATIF MTIBAA
Abstract:	The wireless sensors networks (WSN) was developed, in the beginning, for the low bit rate application with low costs and limited resources. Today due to recent advances in electronics devices, it becomes easy to deploy it in many new fields. The medical wireless sensors networks are a new paradigm rising future application to supervise, alert and even cure patients. Medical applications have real severed constraints in terms of packets delivery ratio and End-to-End Delay in an organized network. Power consumption conservation is important but stills a secondary interest because devices for medical uses are always accessible. In this work, we propose a novel protocol called Enhanced-Splitted-MPR-CDS based on older protocols versions investigated, simulated and enhanced. We aim by the Enhanced-Splitted-MPR-CDS to have an organized network topology involving a very small number of active elements to reduce the End-to-End delay and to reduce the network power consumption while considering a medical multiservice WSN.
Keywords:	MPR-CDS, GS-MPR-CDS, EnGS-MPR-CDS, ECG, PDR.
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2016 -- Vol. 86. No. 2 -- 2016
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Title:	VERIFICATION OF VERTICAL TIME LAG IN AN E-GOVERNMENT SYSTEM BY USING A CASUAL MODEL: KOREA WORKNET SYSTEM CASE
Author:	Dae Chul Lee, Gyoo Gun Lim, Mi Hwa Lim
Abstract:	Many organizations and governments have been investing various types of innovative information systems. Sometimes it takes time to see the performance of such investments due to the time lags. The time lags of information systems investment can be seen from vertical and horizontal viewpoints. The vertical means the time lag among the performance layers; input, process and output and the horizontal means the time lag in a specific layer. In this study we show the existence of time lags between the layers by using causality relation model for the WORKNET system of Korea. For this study we made indicators for each layers and tested the causality among indicators in different layers. From this study we showed the existence of the time lag between performance layers.
Keywords:	Time-lag effect, Performance evaluation, IT performance, Performance model, vertical time lag
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2016 -- Vol. 86. No. 2 -- 2016
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Title:	FILTERED DISTANCE MATRIX FOR CONSTRUCTING HIGH-THROUGHPUT MULTIPLE SEQUENCE ALIGNMENT ON PROTEIN DATA
Author:	MUHANNAD A. ABU-HASHEM, NUR'AINI ABDUL RASHID, ROSNI ABDULLAH, ATHEER A. ABDULRAZZAQ AND AWSAN A. HASAN
Abstract:	Multiple sequence alignment (MSA) is a cornerstone process in computational biology and bioinformatics. Although numerous algorithms have been proposed for MSA, producing an efficient MSA with high accuracy remains a huge challenge. Progressive alignment method is broadly used for constructing MSA. It uses guide trees as an input to guide the alignment process. Pair-wise alignment plays a significant role in building the distance matrices where distance matrices are necessary for building the guide trees. Robust distance matrix leads to better MSA. In this research, we present Filtered Distance Matrix for building MSA (FDM-MSA) to construct MSA. FDM-MSA is divided into four phases: constructing the distance matrix, building the filtering system, building the guide tree, and constructing the MSA. HashTable-N-Gram-Hirschberg (HT-NGH) is used to build the distance matrix. Two sequence detectors are involved in building the filtering system: multi-domain detector and outlier detector. After filtering the distance matrix, Neighbor Joining and progressive alignment methods are employed to construct the guide tree and MSA. The experiments show that the FDM-MSA algorithm shows improved performance in both terms; time and accuracy. FDM-MSA algorithm obtains the best time performance over all competitive methods in most datasets, as well as obtains the highest Sum-of-Pairs Score on RV2 dataset of BAlibase dataset and the second best Total Column score on average.
Keywords:	Multiple Sequence Alignment; Progressive Alignment; Guide Tree;
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2016 -- Vol. 86. No. 2 -- 2016
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Title:	THE IMPROVEMENT OF SOFTWARE QUALITY MODEL FOR ACADEMIC WEBSITES BASED ON MULTI-PERSPECTIVE APPROACH
Author:	SUGIYANTO, SITI ROCHIMAH, SARWOSRI
Abstract:	Evaluating the software quality requires a series of factors that will form the quality model. Most of the software quality models that already exist only provide the quality factor of software on generic domains. These conditions resulted in a software quality model on generic domains used to evaluate the academic websites quality. The software quality model on generic domains only provides a list of factors and subfactors quality without considering the needs and expectations of a particular user. In the academic website domain, each user has different needs and expectation, so there is a need to devise a model that is used to evaluate the quality of academic websites from the perspective of various user groups. This study proposes the improvement of software quality models for academic websites based on multi-perspective approach as follows prospective students, lecturers, and students. The improvement of software quality model is done using literature study, observation, interviews, questionnaire data processing, and giving priority weighting factor of the software quality. The result of the study is a new quality model that can be used to evaluate software on academic website domain from the perspective of prospective students, lecturers, and students.
Keywords:	Quality Models, Software Quality, Academic, Websites, Multi-perspective
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2016 -- Vol. 86. No. 2 -- 2016
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Title:	VOLCANIC ASH FLOW MODELLING AS AN EARLY WARNING SYSTEM TO NATIONAL DISASTER (KELUD ERUPTION 2014)
Author:	AHMAD LUBAB, AHMAD HANIF ASYHAR, MOH. HAFIYUSHOLEH, DIAN C. RINI, YUNIAR FARIDA
Abstract:	The Aims of this research are modelling and simulate volcanic ash direction caused by Kelud eruption in 2014. Due to the simulation the ash flow path at 12 pm 14th February spreaded and formed a circle as an ellipse, flew to the north passed Jombang, Mojokerto, and Bojonegoro. It also approached Yogyakarta in Central Java in 120,000 metres above sea level but, it moved to the Southwest in half of this area and most particles flew to Indian Ocean in 17,000 metres above sea level.
Keywords:	Mathematics Modelling, Gaussian Box Model, Simulation, Kelud, Volcanic Ash
Source:	Journal of Theoretical and Applied Information Technology 20^th April 2016 -- Vol. 86. No. 2 -- 2016
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