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

Welcome to Journal of Theoretical and Applied Information Technology

Submit Paper / Call for Papers

Journal receives papers in continuous flow and we will consider articles from a wide range of Information Technology disciplines encompassing the most basic research to the most innovative technologies. Please submit your papers electronically to our submission system at http://jatit.org/submit_paper.php in an MSWord, Pdf or compatible format so that they may be evaluated for publication in the upcoming issue. This journal uses a blinded review process; please remember to include all your personal identifiable information in the manuscript before submitting it for review, we will edit the necessary information at our side. Submissions to JATIT should be full research / review papers (properly indicated below main title).

Journal of Theoretical and Applied Information Technology
August 2015 | Vol. 78 No.2

Title:	DEVELOPING A HIGH PERFORMANCE REAL TIME PEOPLE DETECTION SYSTEM
Author:	HILAL ADNAN FADHIL, AHMAD B. ALKHODRE , HAITHAM ALYOUSEF
Abstract:	A lot of research has been conducted to detect people within images and video frames, Our goal in this research is to develop a protection system against thefts, by analyzing video frames incoming from surveillance cameras, and running early alarm to discover, detecting thieves in real time. Theft has many damages in the community. Failure in putting strategies for preventing theft has caused material, moral and psychological harm to the humans. All new technology comes to find rest and stability for the humans, by monitoring the properties especially when the owners are absent or far away. Now days the presence of cameras becomes very essential for monitoring places, it limits from theft , burglary, for this reason we have seen lot of theft occurs when a power outage. We want to prevent theft, narrowing the time for robbers and confusing them during robbery ,not only to alleviate its effects or pursuing criminals and disclosure them, this arrangements require more efforts and calling the police…etc. Our primary goal is for deterring criminals, we need achieving a preventive policy. In this research we could get a high rate of classification equivalent to 96% of detected humans in implementation time of approximately 0.5 seconds. Within this article, we will review the previous studies which had been done for discovering, detecting the humans and the steps which performed effectively are beside what enhancements we've made for. in summary ,we will review the obtained optimal values of the used parameters and analyze them .
Keywords:	Object Detection, Real Time Human Detection, Real Time ANTI-THEFT System, SURVEILLANCE System, People Detection, Background Removal In Video
Source:	Journal of Theoretical and Applied Information Technology 20^th August 2015 -- Vol. 78. No. 2 -- 2015
Full Text

Title:	SLOTTED MICROSTRIP ANTENNAS FOR CIRCULAR POLARIZATION WITH COMPACT SIZE FOR RFID ,BLUETOOTH &S-BAND APPLICATIONS
Author:	P.POORNA PRIYA, K.SAI NAGA SOWMITH, K.DINESH VARDHAN, P.TANMAYEE, K.MADHU PAVAN
Abstract:	Micorstrip patch antennas play a major role in day to day life. In this paper the designed microstrip patch antenna is compact sized with circular polarization for RFID applications. Different arbitrary shaped slots like square circle plus are used and parameters like return loss, gain and frequency are observed for each of the patches. All these are done using ANSOFT HFSS . The antenna is fabricated using duroid as dielectric substrate (relative permittivity =2.2, loss tangent=0.0004) and coaxial feed. These designed antennas are fabricated and used in real time applications.
Keywords:	Micorstrip patch, RFID ,ANSOFT HFSS.
Source:	Journal of Theoretical and Applied Information Technology 20^th August 2015 -- Vol. 78. No. 2 -- 2015
Full Text

Title:	ONTOLOGY ASSISTED SEMI-SUPERVISED BUG REPORT CLASSIFICATION
Author:	SAKTHI KUMARESH, BASKARAN R
Abstract:	Automated bug report clustering and classification plays a significant role in managing, assigning, and understanding the bug categories. The most challenging problem in bug report classification is the inadequate amount of labeled dataset. The proposed framework introduces an Ontology-assisted Semi-supervised Clustering Based Classification (OS-CBC) for bug reports amid a small size of the labeled dataset scenario. The proposed approach enriches the data set of the bug report using constructed Bug and Enriched Meta-feature Extraction (BEME) ontology. Semantic constraints based semi-supervised hierarchical clustering (Semantic-HAC) algorithm prioritizes the constraints for clustering the bug reports based on the BEME ontology. The cluster formation of bug reports depends on the transitive dissimilarity and ultrametric distance using ontology-based prioritized constraints. It extends the dataset (stretched) of the bug reports based on the maximum likelihood of the features in the cluster for labeling the unlabeled data. Moreover, the proposed approach categorizes the bug reports of stretched test set under the category of training set label using Multi-label Naive Bayes (MLNB) classifier. The classification technique focuses on the threshold based filtered weight of each term in the training set to improve the accuracy. The proposed OS-CBC approach significantly improves the classification accuracy of the bug reports.
Keywords:	Bug, Classification, Clustering, Ontology, Constraint, Semi-Supervised
Source:	Journal of Theoretical and Applied Information Technology 20^th August 2015 -- Vol. 78. No. 2 -- 2015
Full Text

Title:	THE INFLUENCE OF INTERNAL SYSTEM, EXTERNAL SYSTEM AND ETHIC TO THE SATISFACTION OF USER SYSTEM AND FINANCIAL INFORMATION QUALITY ALONG WITH THE PERFORMANCE OF FINANCIAL ACCOUNTING INFORMATION SYSTEM AT PRIVATE POLYTECHNIC IN EAST JAVA
Author:	MULYANTO NUGROHO, TRI RATNAWATI, SRIE HARTUTIE MOEHADITOYO
Abstract:	The This study examines behavioral accounting on the basic theory of accounting information system. Respondents in this study were 123 respondents of the use of accounting information system in this study is composed of management director, deputy director, head of the study program, the head of the laboratory, faculty, staff users of information systems Private Polytechnics in East Java as many as 123 respondents were categorized in population research questions in complete charge. The results in this study is that the Internal System is a system in the organization Polytechnic regarding internal control systems, the competence of the Human Resources, System Operating Procedure, and the support of top management, and External Systems regarding hardware and software can result in increased user satisfaction system Private Polytechnic in East Java. Internal system does not have a significant effect on the performance of financial accounting information systems, although in East Java Private Polytechnic System Internal Control, Human Resource Competency, Standard Operating Procedure, and top management support is good and this is because the level of compensation is still low so that the spirit of Human Resources still low. Internal systems, external systems, and Ethics significant effect and impact on improving the quality of financial information private Polytechnic in East Java. External Systems, Ethics, system user satisfaction, and quality of financial information have a significant effect on the performance of financial accounting information systems in East Java Private Polytechnic. Originality of this research is ethical path associated with the quality of financial information and ethical lines that are connected with the performance of financial accounting information system. Besides originality of this research external system pathways related with the system user satisfaction.
Keywords:	Internal System, External System, Ethic, The Satisfaction Of User System, Financial Information Quality, Performance Of Financial Accounting Information System.
Source:	Journal of Theoretical and Applied Information Technology 20^th August 2015 -- Vol. 78. No. 2 -- 2015
Full Text

Title:	SHADOW IDENTIFICATION USING ANT COLONY OPTIMIZATION
Author:	D. USHA NANDINI, DR. A. EZIL SAM LENI
Abstract:	A novel method has been proposed for the identification of shadows in satellite images. The method is based on the use of Ant Colony Optimization (ACO) for the identification of shadows in remotely sensed images. The existence of shadow regions in images has been a hindrance to image analysis and hence accurate shadow detection and removal is still a current research topic. The proposed work is a combination of the previous techniques and an object based technique. The proposed work first identifies the edges of all the objects in the scene and then each object is analyzed using ant colony optimization to determine whether it is a shadow or a foreground object. The shadow regions are detected in a finite number of steps, considering the various properties of the shadow regions.
Keywords:	Ant Colony Optimization (ACO), Edge Detection, Shadow Detection, Shadow Properties, Threshold.
Source:	Journal of Theoretical and Applied Information Technology 20^th August 2015 -- Vol. 78. No. 2 -- 2015
Full Text

Title:	A COMPREHENSIVE HUMAN FACTOR FRAMEWORK FOR INFORMATION SECURITY IN ORGANIZATIONS
Author:	AREEJ ALHOGAIL, ABDURRAHMAN MIRZA, SAAD HAJ BAKRY
Abstract:	Human factor represent an essential issue in the security of information in organizations, as human factor determine the behavior of the employees toward information security. This paper attempts to integrate related human factors, recognized by previous work, into a structured comprehensive framework. The framework has four main domains that take the form of a diamond. Two domains are concerned with the environment and management issues representing an organization dimension; while the other two are related to preparedness and responsibility issues giving an employee dimension. The domains at the four corners of the diamond interact with one another influencing the human behavior toward information security. Expert views on the framework have been collected through a survey that addresses the importance of its various components to human behavior. The framework provides a base for the future investigation of information security protection in organizations, and the development of controls for this purpose.
Keywords:	Human Factor; Information Security; Human Behavior; Information Security Controls; Insider (Employee) Threats
Source:	Journal of Theoretical and Applied Information Technology 20^th August 2015 -- Vol. 78. No. 2 -- 2015
Full Text

Title:	RANKING OF CLOUD SERVICE PROVIDERS IN CLOUD
Author:	C.S. RAJARAJESWARI, M. ARAMUDHAN
Abstract:	Cloud Computing is an innovative technology in the field of information technology. Federated cloud is an amalgamation of several cloud service providers. Since there are many cloud service providers in the federated cloud, users get confusion in choosing the best cloud service provider for their requirements. To choose the best cloud service from the available and eligible cloud service providers ranking concept is proposed. Poincare Plot method (PPM) based mathematical model is proposed to find the rank of the cloud service providers in federated cloud management system. The proposed ranking model reveals that the federated cloud model improves the performance of resource provisioning when compared to the existing rank model using Analytical Hierarchy Process (AHP).
Keywords:	Federated Cloud, Service Level Agreement, Broker Manager, Cloud Broker, Cloud Ranking
Source:	Journal of Theoretical and Applied Information Technology 20^th August 2015 -- Vol. 78. No. 2 -- 2015
Full Text

Title:	RANK BASED DOCUMENT CLUSTERING AND SUMMARIZATION APPROACH IN THE DISTRIBUTED P2P NETWORK
Author:	A.SRINIVASA RAO, Dr.Ch.DIVAKAR, Dr.A.GOVARDHAN
Abstract:	Quick and high quality document clustering techniques play a vital role in text mining applications by grouping large text documents into meaningful clusters and enhancing the clustering accuracy using dimensionality reduction or query expansion. Detecting meaningful clusters and summaries in Distributed p2p network applies single document summarization techniques and peer relationships for detecting meaningful clusters and summaries. Traditional cluster based summarization methods usually suffer with the computation speed, compression, peer selection and sentence clustering in order to generate high quality summaries. Traditional document clustering and summarization methods assume node adjacency and neighborhood information to build clusters and summaries. Since the multilevel overlay p2p networks have suffered with node adjacency and duplicate information, it was difficult to generate optimal clusters and summaries within the peers. Proposed approach provides better solution to generate optimal document clustering using probabilistic k- representative clustering algorithm and forms efficient summaries using phrase rank based summarization. Experimental results give better performance in terms of execution time, entropy and cluster quality are concerned.
Keywords:	Document clustering, Summarization, Phrase ranking,P2P networks
Source:	Journal of Theoretical and Applied Information Technology 20^th August 2015 -- Vol. 78. No. 2 -- 2015
Full Text

Title:	WEB SERVICES COMPOSITION FOR CONCURRENT PLAN USING ARTIFICIAL INTELLIGENCE PLANNING
Author:	MUHAMMAD AKMAL REMLI, SAFAAI DERIS, MAMOUN JAMOUS, MOHD SABERI MOHAMAD, AFNIZANFAIZAL ABDULLAH
Abstract:	Automatic planning of web services composition is a challenging problem both in academia and real-world application. Artificial Intelligence (AI) planning can be applied to automate web services composition by depicting composition problem as AI planning problem. Web services composition would combine multiple services whenever some requirements cannot be fulfilled by a single service. Subsequently, many of the planning algorithms to detect and generate composition plan would focus only on sequence composition thus, neglecting concurrent composition. The aim of this paper is to develop an approach to generate a concurrent plan for web services composition based on semantic web services (OWL-S) and Hierarchical Task Network (HTN) Planning. A Bioinformatics case study for pathway data retrieval is used to validate the effectiveness of proposed approach. The planning algorithm extend Hierarchical Task Network (HTN) algorithm to solve the problem of automatic web service composition in the context of concurrent task planning. Experimental analysis showed that the proposed algorithms are capable of detecting and generating concurrent plan when compared with existing algorithms.
Keywords:	Web service composition, Semantic web service, Artificial Intelligent (AI) Planning, Hierarchical Task Network (HT) Planning,
Source:	Journal of Theoretical and Applied Information Technology 20^th August 2015 -- Vol. 78. No. 2 -- 2015
Full Text

Title:	CADSSO: A DEVELOPMENT APPROACH FOR CONTEXT-AWARE SERVICE ORIENTED SYSTEMS
Author:	M. LETHRECH, A. KENZI, I. ELMAGROUNI, M. NASSAR, A. KRIOUILE
Abstract:	In this paper, we present our development approach named CADSSO (Context-Aware, Domain Specific and Service Oriented) for Context aware Service oriented Systems. CADSSO is organized in two stages: the modeling stage and the code generation stage. It is essentially based on the Domain Specific Modeling (DSM) approach. Indeed, the creation of the five models of the modeling stage is done using Domain Specific Languages (DSLs). The first model is Domain Specific Context Model, it represents the service execution context. The second is Domain Specific Service Model, it allows the services modeling. We also have the Service Variability Model which is used in the service variability modeling. The bond between Service Variability Model and Domain Specific Service Model is provided by Adaptation rules model. Finally, specific domain business modeling is done via domain specific business model. At code generation stage, a specific code generator transform all these models to final source code using a framework specifically designed for a given target platform.
Keywords:	Domain Specific Modeling (DSM), Domain Specific Language (DSL), Service Oriented Computing (SOC), Context-Aware Computing (CAC), Adaptation
Source:	Journal of Theoretical and Applied Information Technology 20^th August 2015 -- Vol. 78. No. 2 -- 2015
Full Text

Title:	DYNAMIC BINARY LOCATION BASED MULTI-WATERMARK EMBEDDING ALGORITHM IN DWT
Author:	AMMAR JAMEEL HUSSEIN, SEDA YUKSEL, ERSIN ELBASI
Abstract:	In order to achieve a good imperceptibility and robustness, using 4-level DWT algorithm based on dynamic binary host image location and embedding two watermark logos in different DWT levels are proposed for copyright protection and authenticity. In the propounded watermarking algorithm, 5-level DWT is applied to host image to obtain the fifth low frequency sub band (LL5), and examination the dynamic binary location value of selected location for embedding purpose in five different locations in host image using the same algorithm process. Our experimental results demonstrate that our algorithm scheme is imperceptible and robust against several image processing attacks, and watermarked image quality evaluating by calculation of SNR, PSNR, RMSE, and MAE.
Keywords:	Copyright Protection, Discrete Wavelet Transforms, Information Security, Frequency Domain Analysis, Watermarking
Source:	Journal of Theoretical and Applied Information Technology 20^th August 2015 -- Vol. 78. No. 2 -- 2015
Full Text

Title:	RELATIONSHIP BETWEEN BRAIN-BASED LEARNING STYLES AND BEHAVIOURAL LEARNING PATTERNS IN WEB-BASED EDUCATIONAL SYSTEMS
Author:	MOHAMMED AHMED GHAZAL, NOR AZAN MAT ZIN, ZURINA MUDA
Abstract:	Web-Based Educational Systems (WBESs) deliver the same design features such as learning content and user interface to all learners. However, learners have different preferences according to their brain structures. The brain dominance determines how learners prefer to learn, communicate, collaborate and solve problems effectively. Tracking learners’ behaviours within the WBES is an essential approach to predict the learners’ Learning Styles. Therefore, the relationship between learners’ behavioural interactions in WBES and Learning Styles should be examined. This study investigated the learning patterns of 69 respondents within WBES with respect to Herrmann Whole Brain Model (HWBM) Learning Style. Results showed that there is a significant correlation between some learning patterns and HWBM Learning Styles. The most preferred features for designing WBES according to Learning Style model were also identified. The results can be used for developing an adaptive learner model.
Keywords:	Herrmann Whole Brain Model Learning Style (HWBM LS), Behavioural Learning Patterns, Design Features of Web-Based Educational System (WBES), Learner Modelling, Systematic Observation Study.
Source:	Journal of Theoretical and Applied Information Technology 20^th August 2015 -- Vol. 78. No. 2 -- 2015
Full Text

Title:	ANN EXPERT SYSTEM FOR DIAGNOSING FAULTS AND ASSESSING THE QUALITY INSULATION OIL OF POWER TRANSFORMER DEPENDING ON THE DGA METHOD
Author:	AHMED RAISAN HUSSEIN, M. M. YAACOB, M.F. OTHMAN
Abstract:	Dissolved gas analysis is a common method for diagnosing faults in electrical transformers and determining the type of faults early on, depending on the specific standards used. Applying dissolved gas analysis methods can be used in diagnosis and in the evaluation process. There are many methods used in the diagnosis of faults in power transformers, including traditional and intelligent .The use of an intelligent expert system relies on dissolved gas analysis using artificial neural networks, and it gives excellent results in diagnosing faults and assessing the quality of insulating oil during service and the application of appropriate treatment.
Keywords:	ANN Expert System, Fault Diagnosis, Insulation Oil, Dissolved Gas Analysis, Power Transformer
Source:	Journal of Theoretical and Applied Information Technology 20^th August 2015 -- Vol. 78. No. 2 -- 2015
Full Text

Title:	NEW EXPERT SYSTEM FOR SHORT, MEDIUM AND LONG-TERM FLOOD FORECASTING AND WARNING
Author:	MAROUANE EL MABROUK, MOSTAFA EZZIYYANI, ZOUHAIR A. SADOUQ, MOHAMMAD ESSAAIDI
Abstract:	Floods are among the most powerful forces on the planet. Therefore, the need for a system that predict and warn about the flood occurrence is required. The combination of several approaches into a single system was our concern to design and develop an intelligent system that meets the demands of our research. After many studies, we decided to work with multi-agent systems to benefit of its advantages in terms of the distributed artificial intelligence, and we worked with expert systems to benefit of the concept of logic programming and the concept of facts and rules. In this paper, we present an expert system for real-time flood forecasting and warning that consists of two levels of processing. A first level for short-term forecasting and warning ie. for a time that does not exceed two to three days, using the proposed model, which is based on coefficients that will be calculated to do the flood forecasting and warning. A second level for medium (the time could be up to 10 years) and long-term (the time could be up to 1000 years) forecasting and warning via the empirical model of Hazan-Lazarevic.
Keywords:	Flood, Forecasting, Warning, Real-Time, Expert Systems, Agent, Multi-Agent Systems.
Source:	Journal of Theoretical and Applied Information Technology 20^th August 2015 -- Vol. 78. No. 2 -- 2015
Full Text

Title:	EFFECTIVE e-LEARNING ENVIRONMENT A CLASSICAL INSIGHT
Author:	MR. A. SENTHIL KARTHICK KUMAR , DR. A.M.J MD. ZUBAIR RAHMAN
Abstract:	The objective of this article provides an idea to every corporate, university and institutions on how to upload the knowledge towards the eLearning aspect for human resources. The discussion deals with three aspects: (1) eLearning is increasingly developed with lots of inputs, how these inputs are upgraded to be utilized in problem oriented areas of educational industry in a healthier way. (2) The concerns to provide a better platform to the learning community in which human behavioral analysis can be pursued on training and development schemes. (3) The ability to change continually and acquire new understanding towards the future developments. The main purpose of this article is for identifying or classifying the needs of better educational system to the current generation. In this research, researcher would like to provide a detailed report of learning methods and how technological endurance has provided better teaching aids in various dimensions.
Keywords:	Elearning; Cloud Oriented Learning; Courseware Creation And ICT
Source:	Journal of Theoretical and Applied Information Technology 20^th August 2015 -- Vol. 78. No. 2 -- 2015
Full Text

Title:	AN EFFICIENT ARCHITECTURE FOR SEMANTIC EVOLUTION OF EMBEDDED SYSTEM
Author:	SMT. J. SASI BHANU , A. VINAYA BABU , P. TRIMURTHY
Abstract:	Embedded systems (ES) are being used these days for monitoring and controlling Safety or mission critical system. Mission and safety critical systems as such will not be shut down for the reasons of safety and also due the cost of restarting. Changes are inevitable for any system either due to the reasons of updating the modules contained in the ES software or addition of new modules for the reasons of adding new functionality. The changes to the ES software required are to be undertaken online while the ES system is up and running. Ability to make changes to the software while the system is running is called dynamic semantic evolution. For any software architecture is the basis. Modules are to be reflected in the architecture that support dynamic evolution of the embedded software. Many architectures have been proposed in the literature that cater to the dynamic semantic evolution of loaded systems. Every architecture proposed incorporated only one method of undertaking the dynamic evolution. Many methods have been in existence for dynamically evolving the embedded systems but all the available methods have not be brought under the same architecture. In this paper a comprehensive architecture is presented that considers all available approaches that help implementing dynamic semantic evolution of the ES software.
Keywords:	ES Architectures, Dynamic Semantic Evolution, Monitoring And Controlling Safety Critical Systems, Software Evolution
Source:	Journal of Theoretical and Applied Information Technology 20^th August 2015 -- Vol. 78. No. 2 -- 2015
Full Text