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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
August 2016 | Vol. 90 No.1

Title:	UNDERSTANDING THE ACADEMIC USE OF SOCIAL MEDIA: INTEGRATION OF PERSONALITY WITH TAM
Author:	MURAD ALI, RAJA AHMAD ISKANDAR B RAJA YAACOB, MOHD NURI AL-AMIN B ENDUT
Abstract:	The emergence of Web 2.0 applications has changed the entire landscape of information sharing and empowering every individual to create, access and sharing information through its multiple channels. These applications are generally known as social media or social web and considerably popular among student which assists them in achieving of effective learning. However, students consider this platform as a source of entertainment and use it considerably for their social interactions. This attitude of students has revolutionized these channels into a source of distraction, which diverts their attention from learning and academic achievements. Previous research mainly highlighted its importance to different aspects of human communication and students academic performance. Anyhow, less effort has been made to understand student academic use of social media and find factors that can improve student online connectivity for academic purposes and to avoid distraction. The purpose of the current study is to understand the students use of social media for academic purposes, which is the basic step in reducing students online distraction by integrating their psychological characteristics and beliefs. Data for the current research was collected through a survey from undergraduate students of top five ranking research universities Malaysia. The collected data analyzed with help of SPSS Amos (Version-20) by applying structural equation modeling (SEM) techniques. Technology Acceptance Models [1] and Five Factor Model of personality [2] were used as a theoretical approach, our finding shows that information quality is the most important factor in acceptance of social media for academic purposes. Furthermore, study limitation and future direction are also discussed.
Keywords:	Social media, TAM, Personality, Online Learning, Models Integration
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2016 -- Vol. 90. No. 1 -- 2016
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Title:	THE DEVELOPMENT OF A STORYTELLING FRAMEWORK TO SUPPORT KNOWLEDGE MANAGEMENT PROCESSES
Author:	KHAIRUL SHAFEE KALID, AHMAD KAMIL MAHMOOD
Abstract:	In knowledge management (KM), storytelling is used primarily as a tool to capture and transfer knowledge that has tacit qualities. Knowledge with tacit qualities is best represented through storytelling. However, the idea of using storytelling in KM settings is less understood by organizations. Numerous academic and non-academic literatures have been published in the area of storytelling and knowledge management. From the literature survey that has been conducted, a gap in the area of storytelling and knowledge has been identified. From the literature survey, there seems to be a lack of studies conducted on a framework that integrates the storytelling elements (i.e structure, components and attributes) and KM. This paper presents the development of a KM storytelling framework that guides the construction of a knowledge-embedded story. Workshop sessions were conducted to understand how knowledge embedded stories are constructed. Data from the workshop were collected qualitatively through interview sessions. The interviews were transcribed and analyzed using an interpretive approach. This study contributes to the area of storytelling in knowledge management by bridging the gap between the concept of storytelling and its practical use in knowledge management. The outcome of this study is a framework that guides organizations constructing knowledge embedded stories hence, contributing in KM storytelling implementation in organizations.
Keywords:	Knowledge Management, Knowledge Management Processes, Knowledge Capture, Storytelling Framework, Knowledge Embedded Story,
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2016 -- Vol. 90. No. 1 -- 2016
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Title:	A GENETIC ALGORITHM FOR OPTIMIZED INITIAL CENTERS K-MEANS CLUSTERING IN SMEs
Author:	BAIN KHUSUL KHOTIMAH , FIRLI IRHAMNI , AND TRI SUNDARWATI
Abstract:	This research applies Genetic Algorithm to find the initial cluster centers and the centers of this cluster will be used as an input for the K-Means method. This method yield a more optimal performance compared to the conventional K-Means method since the centers point is optimized with Genetic Algorithm. Unfortunately, k-means is extremely sensitive to the initial choice of centers, and a poor choice of centers may lead to a local optimum that is quite inferior to the global optimum. The proposed research initial clustering and assigns at least one seed point to each cluster. During the second step, the seed-points are adjusted to minimize the cost-function. The algorithm automatically penalizes any possible winning chances for all rival seed-points in subsequent iterations base on cost-function to reaches global minimum. This method will perform optimization centers point K-means clustering using Genetic Algorithms. The Genetic Algorithms optimize centers point of the cluster more faster performance. The simulated experiments described in this paper confirm good performance have used distance measure. So, the analyses performance cluster used SSE (Sum of Squared Error). The minimum Cluster SSE of combination Genetic Algorithm with K-Means Clustering (GA+KMeans) the smallest in compared with the K-Means algorithm of Clustering SMEs.
Keywords:	Clustering, K-Means, Genetic Algorithm, Initial Centers, Smes
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2016 -- Vol. 90. No. 1 -- 2016
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Title:	LEARNING MEDIA OF BALINESE SCRIPT WRITING BASED ON AUGMENTED REALITY
Author:	A.A. K. OKA SUDANA, KADEK SUAR WIBAWA, I MADE ARI DHANU TIRTHA
Abstract:	Balinese Script is one of the Bali Cultural wealth that must be preserved. Balinese Script is a traditional script used to write Balinese Language and Literature. Conventional teaching method with traditional learning media can be one factor of students disinterest, especially children in writing Balinese Script in their educational institutions. Learning media of Balinese Script writing that is packaged in the form of Augmented Reality applications in gadget with applying the Android operating system is expected to be a solution to increase user interest in studying Balinese Script. Learning media application of Balinese Script based on Augmented Reality focuses on learning of how to write Balinese Script. These features overall are packaged in 3-dimensional animation which is completed by voice instruction in Balinese Language and additional information in the form of explanation of every Balinese and examples of words in Balinese. Learning media of Balinese script writing based on Augmented Reality applies multi target marker methode in order to detect some image target in one object target simultaneously. Raycast technique is applied in order to choose one image target or one of Balinese script 3 dimensional object which is occured as the result of multi target marker detection.
Keywords:	Balinese Script Writing, Learning Media, Augmented Reality, 3D Animation, Multi Target Marker Methode, Raycast Technique.
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2016 -- Vol. 90. No. 1 -- 2016
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Title:	EFFECTIVE BRANCH AND DU COVERAGE TESTING THROUGH TESTCASE PRIORITIZATION USING GENETIC ALGORITHM
Author:	P.VELMURUGAN, RAJENDRA PRASAD MAHAPATRA
Abstract:	Software testing is all about ensuring an error free execution of the system or module being developed. The testing procedure initially consists of a large number of test cases that are needed to be reduced so that the execution time needed for testing could be minimized. After the reduction has been done, a few test cases are left. Here an important factor becomes the order of the execution of the obtained number of test cases. This ordering is called as test case prioritization. Prioritization of test cases is a process in which test cases are executed in an ordered fashion so as to increase the fault detection rate. There are many types of prioritization techniques used for statement coverage that have been used in past. In this paper, the testcase prioritization technique used for branch coverage and DU pair coverage to improve the effectiveness of testing process. The proposed methodology uses genetic process for prioritizing the test cases to detect the fault as earlier as possible to improve the effectiveness of branch and DU pair testing.
Keywords:	Test case reduction, prioritization, genetic algorithm, DU pair testing, branch testing\
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2016 -- Vol. 90. No. 1 -- 2016
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Title:	A COMPREHENSIVE ADOPTION MODEL OF M-GOVERNMENT SERVICES AMONG CITIZENS IN DEVELOPING COUNTRIES
Author:	MST REBEKA SULTANA, ABDUL RAHMAN AHLAN, MD. HABIBULLAH
Abstract:	M-government (Mobile Government) has become popular among many developing countries including Bangladesh. Since m-government is still in early stage of implementation, few studies have identified the acceptance factors of using services among citizen. However, most of the studies identified the adoption factors based on Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB), Theory Reason Action (TRA) and trust-related model. This study aims to propose an adoption model suitable for developing countries using Unified Theory of Acceptance and Use of Technology (UTAUT) and model of trustworthiness. Some important factors such as, perceived good governance and less corruption, perceived public value and culture also are included in this model.
Keywords:	Mobile Government, Technology Adoption, UTAUT, Trustworthiness, Public Value, Good Governance, Corruption, Developing Country.
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2016 -- Vol. 90. No. 1 -- 2016
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Title:	APPLICATION OF BASIC BALINESE DANCE USING AUGMENTED REALITY ON ANDROID
Author:	NI PUTU SINRIA FRANZA, A.A.K. OKA SUDANA, KADEK SUAR WIBAWA
Abstract:	Balinese dance is a regional culture in Bali that must be preserved. Balinese dance can be conserved by using Augmented Reality technology. Augmented Reality technology is a combination of two-dimensional or three-dimensional virtual objects into a real environment. This Android-based applications combine with technology of Augmented Reality can be a media application to learn basic Balinese dance movement which can access by the users of smartphone. Augmented Reality technology is able to make the application of learning basic Balinese dance movements become more interactive and interesting. This application uses vuforia which is capable to play sound and display 3D objects of picture basic balinese dance as a marker, into a real environment. The result of this research is a book which contains information and images related to basic movements of Balinese dance which functioned as a marker. This Android-based application capable to display object dancer in 3D with the position and movement of Balinese Dance above the marker and play sound which contain information about the movements of Balinese dance. This application can be used as a media to introduce Balinese culture to other countries. Balinese dance in this application also helps to maintain the culture of Bali which has became an interesting attraction for tourists both local and foreign.
Keywords:	Balinese Dance, Augmented Reality, Vuforia, Android.
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2016 -- Vol. 90. No. 1 -- 2016
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Title:	SELF STABILIZED FRCA USING CONNECTED DOMINATING SET FOR WIRELESS MOBILE ADHOC SENSOR NETWORKS
Author:	T MADHU, S S V N SARMA, J V R MURTHY
Abstract:	Wireless Mobile Ad hoc Sensor Networks (WMASNs) are infrastructure less, multiple hop, energetic network constructed using a group of moveable nodes. Self-stabilization is a theoretic outline of non-screening fault-tolerant. This scheme endures any sort and any countable amount of transitory errors like information damage, memory exploitation, and topological deviations. This paper suggested a novel self-stabilized methodology to the existing Fuzzy Based Clustering Algorithm as to guarantee that event though in case of a cluster head selection for different clusters, when the network attains any illegitimate state, this novel approach always reaches to a legitimate state. The self-stabilization for the clustering network is achieved by constructing a minimum Connect Dominating Sets (CDS) that is employed with Bread First Search (BFS) Tree construction and the proof for the correctness of the self-stabilized approach is given. The proof of correctness is given by means of five guarded-commands in this algorithm.
Keywords:	Wireless Sensor Networks, Self-Stabilization, Connect Dominating Sets, Clustering Head Selection, Breadth First Search
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2016 -- Vol. 90. No. 1 -- 2016
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Title:	PRELIMINARY STUDY OF ONLINE TRAINING IMPLEMENTATION FROM MULTIPLE PERSPECTIVES IN MALAYSIAN PUBLIC SECTORS
Author:	NOR AZILAH MOHD ASARANI, NOR ZAIRAH AB RAHIM
Abstract:	In a constantly changing and evolving global and organizational environment, it is necessary to improve the skills of human resources. The innovation of information technologies nowadays has contributed to the exponential expansion in online training in Malaysia. The number employees attending online training courses have increased tremendously but very low percentage of course completion have been reported, thus raised many questions in the implementation of online training in Malaysian public sectors. This study was conducted to construct a research framework on online training implementation in Malaysian public sectors. The criteria of online training implementation are also being determined through different perception of stakeholders. Based on the literature review, the study posited four constructs adopted from Kirkpatrick’s learning theory through Multiple Perspectives Theory. The preliminary study conducted involves 3 set of interviews with respondents involved in providing online training at Malaysia’s National Institute of Public Administration (INTAN) as providers or consultants of public sectors online training. The preliminary findings showed that the criteria are applicable with the mentioned criteria in the literature review thus suitable to be mapped into the conceptual framework.
Keywords:	Online Training, Online Training Implementation, Public Sectors, Multiple Perspectives
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2016 -- Vol. 90. No. 1 -- 2016
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Title:	AUGMENTED REALITY FOR CHEMICAL ELEMENTS: PERIODIKAR
Author:	A.A.K. OKA SUDANA, AGUS SETIAWAN, I PUTU AGUS EKA PRATAMA
Abstract:	A periodic table is a group of arranged chemical elements that contain some information for each element. Information in a periodic table usually provided in the text form, which is less interesting to learn. It can be overcome by creating a visualization of each element. Augmented Reality is a technology that can be used for visualizing objects. In this paper, augmented reality technology implemented for visualizing each element in a periodic table, named PeriodikAR. PeriodikAR is an application developed for Android platform by using Vuforia library. The object-tracking technique that is used in this application is markerless augmented reality technique. This application runs dynamically to provide some information of elements in an animated video. The information including the name of each element, atomic number, boiling point, melting point, density, atomic mass, standard atomic weight, oxidation state, symbol, phase, element category, electron configuration and visualization of electron orbital. In this case, the term of dynamic means all the marker and animated video of the application can be added or subtracted without modifying the source code of the application. It is because all the markers and animated videos storage are placed in the different place from the application’s storage. PeriodikAR aims to help academics develop dynamic augmented reality applications. In addition, this application aims to increase the interest of studying the chemical elements. This application has six features that can be used. The result of application test showed that the smallest marker which can be tracked is 1x1,5cm. Animated video as the resulted from that marker has a good quality with no buffering. The contribution of this study is providing development of dynamic augmented reality applications that are used as a learning media of chemical elements.
Keywords:	PeriodikAR, Dynamic Augmented Reality, Augmented Reality for Chemical Elements, Animated Video of Augmented Reality
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2016 -- Vol. 90. No. 1 -- 2016
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Title:	DRIVERS INFLUENCING SHARED SERVICES ADOPTION
Author:	AHMAD FADHIL YUSOF, SURAYA MISKON, NOORMINSHAH A. IAHAD, AZIZAH ABDUL RAHMAN, NORRIS SYED ABDULLAH, ALEX TZE HIANG SIM, NORASNITA AHMAD
Abstract:	Organizations seeking improvements in their performance are increasingly exploring alternative models and approaches for providing support services; one such approach being Shared Services. Shared Services has the potential to provide positive and powerful impact to the organizations with the support of Information Systems (IS) as the platform for Shared Services application and implementation. Due to this situation, Shared Services is becoming one of the choices in IS area for researcher to conduct a research. Shared Services results a lot of positive outcomes especially improving on the organizations financial expenses. Although various studies have been identified in discussing about the benefits of Shared Services, drivers of Shared Services that influence its adoption have received little research attention. This paper has identified several drivers that influence organizations to adopt Shared Services. By using NVivo as a tool to analyze the content from selected journal articles, 5 drivers of Shared Services adoption were identified. This suggesting the strength and benefits in adopting shared service. By identifying the drivers, it could encourage the top management as the decision maker to implement Shared Services in their organization. Thus, this could lead to the business operation to operate more effectively.
Keywords:	Shared Services, Drivers, IS literature, NVivo, Adoption.
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2016 -- Vol. 90. No. 1 -- 2016
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Title:	SERVICE DISCOVERY IN AD-HOC MOBILE CLOUD: CONTEMPORARY APPROACHES AND FUTURE DIRECTION
Author:	DOMINIC AFURO EGBE, M.B. MUTANGA, M.O. ADIGUN
Abstract:	Service discovery is fundamental to Service Oriented Computing (SOC). Ad-hoc Mobile Cloud (AMC) takes advantage of SOC and Service Oriented Architecture principles in providing services to clients. This emergent paradigm promises to alleviate mobile devices from challenges associated with consuming remotely offered services. However, like other service offering platforms, AMC faces additional and unique service discovery challenges due to their inherent nature such as mobility, resource-constraints and dynamic context. Although conventional web services technologies and approaches exist, they do not fulfill the core requirements of mobile devices, and hence are not suitable for use in the AMC environment. To facilitate the realization of the prospects of AMC, it becomes highly imperative to study conventional and emerging web services approaches and their impact on performance in AMC domain. In this paper, we study existing web services enabling technologies and approaches that impact on service discovery in AMC. We focus on suitability for AMC based on resource requirements and other factors associated with mobile environments. Our findings reveal that conventional web services approaches cannot be directly applied in AMC environment. This is mainly due to their inability to meet the requirements of resource-constrained devices. On the other hand, other approaches that consider resource limitation and other challenges associated with resource-constrained environments need to expand their scope to include the application of context information.
Keywords:	Ad-hoc Mobile Cloud, Service Discovery, Architecture, Resource-intensive, Dynamic Context
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2016 -- Vol. 90. No. 1 -- 2016
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Title:	SENTIMENT ANALYSIS AND CLASSIFICATION USING LEXICON-BASED APPROACH AND ADDRESSING POLARITY SHIFT PROBLEM
Author:	NILAM V. KOLEKAR, PROF.GAURI RAO, SUMITA DEY, MADHAVI MANE, VEENA JADHAV, SHRUTI PATIL
Abstract:	As we know that in recent years e-commerce has been growing, so volume of online reviews on the web is also increasing for different sides due to which we can understand that the particular product or things are good for use or not and their current status in market. In Natural Language Processing (NLP) and text mining, different models and methods are useful for text representation and categorization purposes. Bag-Of-Word (BOW) model is one such model used to model the text. But polarity shift problem is a major factor in Bag-Of-Word model which can effect on classification performance of Sentiment Analysis. In our methodology, we address the polarity shift problem by detecting, removing and modifying negation from extracted review to identify where the sentiment orientation is actually changing in given review. Our main idea is Sentiment analysis and classification which is based on machine learning approach using Lexicon based antonym dictionary. We build system for Sentence-level sentiment classification. We first extract product reviews from one of the customized shopping portal. When extracted reviews are simple sentences then system is trained to directly find its opinion target, and classify it according to its sentiment polarities i.e. is positive, negative and neutral class labels. When extracted reviews are compound and complex sentences then we first split it into subsentences and build a model based on some rules to detect, remove and modify polarity shift in contrast of negation to identify where the sentiment orientation is changing in compound or complex sentences. After that, we classify review according to its polarity and determine the targets of opinion given in review. Furthermore, we extend our system for opinion summarization based on opinion features or aspects and graphically represent overall summary of Positive, Negative and Neutral sentiments of customer for each product.
Keywords:	Natural Language Processing, Opinion Mining, Machine Learning, Sentiment Analysis, Polarity Shift.
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2016 -- Vol. 90. No. 1 -- 2016
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Title:	MAPPING UML TO OWL2 ONTOLOGY
Author:	OUSSAMA EL HAJJAMY, KHADIJA ALAOUI, LARBI ALAOUI , MOHAMED BAHAJ
Abstract:	UML (Unified Modeling Language) is a standardized modeling language widely used by domain experts to model real-world objects in developing object oriented applications. On the other hand, the conceptualization, which is represented in OWL, is designed for use by applications that need to process the content of information instead of just presenting information. Therefore, the problem of migrating UML to OWL is becoming an active research domain. In this paper we present a detailed and comprehensive comparison of the differences between the two languages, analyze the existing mapping methods between them and propose a novel process of direct and automatic mapping solution UML2OWL2 that generalizes these methods. Our process preserve the semantic of some features of UML class diagrams such as inheritance, data types, types of associations (compositions, class associations, N-ary associations, reflexive associations, dependency and simple associations …). It defines precise transformation rules and provides a model of ontology while covering the semantic of the source UML class diagrams. A tool based on our approach has also been developed and tested to demonstrate the practical applicability of our strategy.
Keywords:	UML, OWL2, direct mapping, automatic mapping, semantic, ontology, UML class diagram
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2016 -- Vol. 90. No. 1 -- 2016
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Title:	PROPOSING A MODEL TO PREDICT STUDENTS’ PERCEPTION TOWARDS ADOPTING AN E-ASSESSMENT SYSTEM
Author:	SHERVIN FARZIN, HALINA MOHAMED DAHLAN
Abstract:	Information communication technology (ICT) is the buzzword of the 21st century. The letter ‘E’ appears in the words e-commerce, e-learning, e-banking and etc. In essence, the said letter reflects the ICT component that is utilized in providing more ‘reach’ in addition to making more effective and efficient commercial transactions, information and knowledge transactions and financial transactions to name a few. An e-based system will be utilized when there are supportive factors that collectively encourage its use. The perspective of the user is an undeniably important component. E-based systems may exist in an educational environment for varied purposes. Assessments inevitably play a role in such an educational environment as one of the many ways available to measure students learning outcomes. Thus, this study was conducted to explore students’ perspective on engaging in an e-assessment experience. In that sense, the first and foremost step forward would be to recognize and identify real world problems and issued students are facing in their practice. So as to reach this goal, the study moved forward with the phase of article selection which is done through well-known academic databases. In continue, selected articles went through filtering phase so the most relevant studies disclosed. Secondly, to map those identified issues with corresponding behavioral factors of adoption. As a result, this could set the stage right for future studies on resolving issues and enhancing the e-assessment practice. This study reveals that UTAUT is the most suited underlying theory, and two constructs, namely Computer Anxiety and Habit are incorporated into the model to tailor the UTAUT so it could fit the case of e-assessment adoption.
Keywords:	Electronic Assessment System, E-Assessment, Adoption, E-Assessment Adoption, E-Assessment Problems
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2016 -- Vol. 90. No. 1 -- 2016
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Title:	MLMN: AN EFFICIENT FRAMEWORK FOR MULTI-LAYER MODEL FOR NOVELTY DETECTION IN DATA MINING
Author:	ASHAY URADE, POORVA AGRAWAL
Abstract:	Data Classification is one of the boons to the mining process which eventually eases the process of machine learning. But it is always a doubt about the data that is being used for the classification process. As in Supervised, semi-supervised and unsupervised learning styles the selected data for the classification is always having a chance of missing unknown and new data from the data pool this adversely affects the quality of the mining process. So the process of extraction of unknown and new data from the huge data pool for classification process is very important and it is known as novelty detection. So this research of MLMN provides an ideal way to detect the novelty data that is been using in the further classification process. This research mainly focuses on the multiple layers like 1) Pattern identification, 2) Density Classification, 3) Distance identification and 4) Learning models for the efficient process of novelty detection.
Keywords:	K-Means, Gaussian Distribution, Euclidean Distance, Hamiltonian Jacobi, Fuzzy Logic.
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2016 -- Vol. 90. No. 1 -- 2016
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Title:	DETERMINATION OF STABILITY INDEX OF ELECTRICAL POWER SYSTEM USING REI-DIMO METHODS
Author:	INDAR CHAERAH GUNADIN., SRI MAWAR SAID, MUHAMMAD IRSAN
Abstract:	Determination of electrical power system stability index by the REI-Dimo’s method. This method is used to determine the Z equivalent of a system that has a lot of bus load becomes 1 bus load center. The method that has been developed by Paul Dimo could show how the effect of adding the load on the system whether it is still well worth or not by observing the output of stability index. Calculation results for load conditions with the active power (P) 785.41 MW and reactive power (Q) 136.35 MVAr have a stability index of -21.452. Under these conditions, adding to the load with active power (P) 1818.22 MW and reactive power (Q) 315.65 MVAr has reached a critical point with a stability index of -0.1175.
Keywords:	REI-Dimos Methods, Bus Load Center, Stability Index
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2016 -- Vol. 90. No. 1 -- 2016
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Title:	EFFECTIVE SOFTWARE FAULT LOCALIZATION USING GA-RBF NEURAL NETWORK
Author:	DR. R.P. MAHAPATRA, ANURAG NEGI
Abstract:	This paper proposes application of GA-RBF Neural Network Algorithm in context of software fault localization. A neural network is trained on the basis of Code Coverage information of a test case and the corresponding execution result, successful execution or failure. The weights and structure of the RBF neural network is then optimized using Genetic algorithm. The hidden layer neurons number and connection weights are encoded using binary encoding and real encoding respectively. For further leaning, LMS (Least Mean Square) algorithm is used. A set of virtual test cases (each covering a single statement) is then given input to the trained and optimized network. The output of the network is considered to be “degree of suspiciousness” of the corresponding statement. Finally the statements are ranked on the basis of their corresponding degree of suspiciousness.
Keywords:	Software Fault Localization, GA-RBF Neural Network, Software Debugging, Genetic algorithm, Radial Basis Function.
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2016 -- Vol. 90. No. 1 -- 2016
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Title:	AUTOMATIC CLUSTERING OF MICROARRAY DATA USING ART2 NEURAL NETWORK
Author:	FADOUA RAFII, BADR DINE ROSSI HASSANI, M HAMED AIT KBIR
Abstract:	The Microarray technology has offered an overall view on the activity levels of numerous genes simultaneously. A typical Microarray dataset is characterized by a large number of genes; which is usually high with respect to the number of experiments. Due to the huge number of genes and the intricacy of biological data, clustering represents a gainful exploratory technique for analyzing Microarray data. The aim of clustering is to allocate objects to the adequate groups or clusters. On one hand, the objects belonging to the same cluster are more identical to each others. On the other hand, objects from dissimilar clusters are as unalike as possible. In the present work, the major goal is to extract automatically the number of clusters in the lung cancer Microarray dataset. In fact, a clustering technique based on Adaptive Resonance Theory is used; without any prior information about the number or the form of the clusters behind the processed data. The chosen form of Adaptive Resonance Theory architectures is ART2, which quickly self-organizes categories of pattern recognition in response to arbitrary presented sequences of both analog or binary input patterns [ ]. The proposed approach was simulated on raw data and reduced data, using the PCA technique. The efficiency of the applied method was evaluated by measuring the performance of the classifiers against lung cancer Microarray data.
Keywords:	Microarray technology; Clustering; Microarray Data; ART2
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2016 -- Vol. 90. No. 1 -- 2016
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Title:	TAGUCHI MODELING WITH THE INTERACTION TEST FOR HIGHER DRIVE CURRENT IN WSIX/TIO2 CHANNEL VERTICAL DOUBLE GATE NMOS DEVICE
Author:	K.E. KAHARUDIN, F. SALEHUDDIN, A.S.M. ZAIN, M.N.I.A. AZIZ
Abstract:	This paper presents a study in which Taguchi method has been utilized to increase the drive current (ION) in the WSix/TiO2 Vertical Double Gate NMOS Device. The performance of the device is evaluated in term of its highest drive current (ION) value. Initially, the Vertical Double Gate NMOS device is virtually fabricated and characterized by using both ATHENA and ATLAS modules of SILVACO TCAD tools. The L12 orthogonal array, main effects, signal-to noise ratio (SNR) and analysis of variance (ANOVA) are utilized in order to analyze the effect of process parameter variations on the drive current (ION). The interaction between the process parameters are also investigated by using L8 orthogonal array of Taguchi method. Based on the results of the analysis, source/drain (S/D) implant energy has been identified as the most dominant process parameter in which it has contributed 90% of factor effects on SNR. The highest possible value of drive current (ION) after the optimization and the interaction test is 2859.7 µA/µm.
Keywords:	ANOVA, Drive Current, NMOS, SNR, Taguchi method
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2016 -- Vol. 90. No. 1 -- 2016
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Title:	ACQUISITION DEVICES IN INTERNET OF THINGS: RFID AND SENSORS
Author:	Anouar DALLI, Seddik BRI
Abstract:	Internet of things (IoT) will gradually change our life. IoT is finding a wide range of applications in various domains, including healthcare, industrial and production monitoring, control networks and many other fields. Evolution of IoT is based the constant development of sensors and RFID, this paper presents some considerations for using of these technologies. The IoT architecture consists of three main layers, perception layer, network layer and application layer. RFID and sensor are most important technologies in acquition layer. This paper present considerations to use RFID and sensors in an IoT system and define a set of requirement for deployment of this technologies in IoT environment. Finally, the paper outlines many challenges for IoT which we target to address in the near future.
Keywords:	Internet Of Things, RFID, Sensors, Acquisition Layer,Tags.
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2016 -- Vol. 90. No. 1 -- 2016
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Title:	MEDIA RELATION BASED AUTOMATIC CONTENT GENERATION METHOD ON SOCIAL P2P NETWORK
Author:	KYUNGWON KIM, SAIM SHIN, JONGSEOL LEE, TAE-BEOM LIM, KYOUNGRO YOON
Abstract:	Existing social media services are aimed at text based messages and information sharing. Recently, changes in the trend of sharing visual content using a social media service. Users may utilize various visual contents in the social group they belong, can create a new content for their interests. In this paper, we propose a method to generate a media content automatically using information of media relation. We also design the MC (Media Container) for describing relationship among the media contents, and present a mechanism for combing media contents on social P2P network. The characteristics of social media, new content will continue to be generated, deleted and modified. Thus, the automatically generated media content does not reflect the newly added content for the same interest. In order to supplement these problems, we define the MC scheme to describe information of relationship among the contents using XML format, present the method for dynamically generating media contents with the latest contents which are reflected the user's interest. And through the development of the proto-type application, verify the method for automatic content generation using the MC is defined in this paper.
Keywords:	Auto-generated multimedia content, P2P Network, Social network, Media container, Media relation description
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2016 -- Vol. 90. No. 1 -- 2016
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Title:	IMPLEMENTATION AND RECONFIGURATION OF BASIC DIGITAL MODULATION DESIGN MODELS
Author:	B.K.V. PRASAD, ,R. SAI PRIYA
Abstract:	In modern communication systems the independent modulation and demodulation techniques is done using proper signal detection schemes and prominent receiver structure. The implementation of BPSK ,FSK, ASK modulation and demodulation techniques are design using Simulink in system generator module which is transferred into Xilinx core and undergoes changes using system generator module. The modulated signals obtained from these simulations are analogized with the obtained signals after interfacing and programmed using an FPGA. The FPGA was programmed with the help of ARM processor to compile the bit files to select the required modulation based on our requirement that has best channel support. The interface is done between the controller and spartran-3e FPGA using JTAG. The XSVF format and synopsis programmed files are stored in the SD-card of the microcontroller. The HyperTerminal displays the output corresponding to the selected modulation. The optimum modulation is selected based on available bandwidth, bit-error-rate and signal to noise ratio. Hence, Among available tools for FPGA design, System Generator is a system-level modeling tool that provides, system complexity, power efficiency, better quality of service ,bandwidth efficiency and, more secure, cost effectiveness, reliable and efficient compared to the analog communication.
Keywords:	Xilinx, BPSK (Binary phase shift keying), ASK(Amplitude Shift Keying), FSK(Frequency Shift Keying), Simulink, System Generator, FPGA (Field Programmable Gate Array).
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2016 -- Vol. 90. No. 1 -- 2016
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Title:	OPTICAL NETWORK TEST AND TROUBLESHOOTING FOR OPTICAL FIBER NETWORK
Author:	ASWIR PREMADI, ASNAL EFFENDI, ANTONOV BACHTIAR
Abstract:	This paper presents an experimental study for optical fiber network that uses 1550 nm and 1625 nm wavelength band light. We designed the system and network test-bed to measure optical power level or loss of optical power of each type of device or optical components in the Lab Network of ITP by using an Optical Time Domain Reflectometer (OTDR). The prototype of the device is fabricated and which achieves the target characteristics and reliability. In addition, it is confirmed that the prototype could detect fiber fault at 10.5222 km with system loss 18.21 dB within 13 minutes by setting the acquisition parameters in OTDR module.
Keywords:	Fiber Failure, OTDR, Optical Network, Optical Switching, FTTH
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2016 -- Vol. 90. No. 1 -- 2016
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Title:	ANALYSIS AND METHODS TO TEST CLASSIFICATION OF NORMAL AND PATHOLOGICAL HEART SOUND SIGNALS
Author:	RIMULJO HENDRADI, 8ACHMAD ARIFIN, HIRO SHIDA, SUHENDAR GUNAWAN, MAURIDHI HERY PURNOMO, HIDEYUKI HASEGAWA, HIROSHI KANAI
Abstract:	An acute shortage of cardiologists and many rural clinics were run by nurses in Indonesia. We proposed to develop of a screening technique based on artificial intelligence that classifies of normal and pathological heart sound signals of human subjects due to signs important and symptoms for heart diagnosis based on knowledge of auscultation experts. Heart sound signal analysis system consisted of three stages. Firstly, preprocessing. Secondly, feature extraction with respect to the cardiac cycle based on wavelet analysis to differentiate normal and pathological heart sounds. Feature reduction using PCA was also carried out to reduce the dimension of the heart sound feature vectors for classification. Thirdly, three classifiers: ANN MLP-BP, FCM clustering and HCM clustering to classify normal, systolic murmur, diastolic murmur, and continuous murmur, respectively. The performance of each classifier was evaluated with statistical validation method. From our experimental results, the three classifiers that showed significant potential in their use as an alternative diagnostic tool were compared. The ANN achieved the best performance as an automated classifier rather than FCM and HCM methods. Its performance was 100% for sensitivity, specificity, and accuracy, respectively, of input 20,000 features. Furthermore, for input 300 features, the performance was 98.90%, 99.37%, and 99.03% for sensitivity, specificity, and accuracy, respectively. The heart sound signal analysis system was suitable to classify of normal and pathological cases. The proposed method was considered very important for objective screening and very useful as an alternative diagnostic tool that complies with the requirements for rural clinics. We hoped that the method would be beneficial in study of auscultatory technique for medical students. Surrogate data modeling of pathological heart sounds signals as an alternative tool of the heart sound simulator and for classification purpose was further study.
Keywords:	Wavelet Analysis, Principal Component Analysis (PCA), Artificial Neural Network Multilayer Perceptron Back Propagation (ANN MLP-BP), Fuzzy C-Means (FCM) Clustering, Hard C-Means (HCM) Clustering
Source:	Journal of Theoretical and Applied Information Technology 15^th August 2016 -- Vol. 90. No. 1 -- 2016
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