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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 2017 | Vol. 95 No.8

Title:	ASSESSING LEARNING PARADIGMS IN TEXT CLASSIFICATION
Author:	MOHAMMED ABDUL WAJEED, MOHAMMAD ABDUL RAHMAN
Abstract:	Today abundant information is available due to the advent of Internet, which is usually stored with sole purpose of current needs alone. Such data thus rest in unclassified in dump repository. Instead if it would be stored in a classified repository then navigation could be done easily, or classified at the later stage reaching it could become easier and thus could helpful in decision making. In the process of classification, commonly supervised and unsupervised paradigm is adopted. Semi-supervised is a new term which is in-between supervised and unsupervised learning where in-addition to the unlabeled data, the algorithm is provided with some supervision information but not necessarily for all example data. A blend of supervised and unsupervised classification is explored in the formation of fuzzy clusters based on the importance of the terms in each class. Enhancements in traditional KNN algorithm is explored taking into consideration the different weights for the features based on the concept of variance in each class. Finally the results obtained in supervised paradigm and semi-supervised paradigm is compared.
Keywords:	Text Classification, Semi-Supervised, Fuzzy-Clusters, Variance, Enhanced-KNN
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2017 -- Vol. 95. No. 8 -- 2017
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Title:	THEORETICAL COMPUTER ALGORITHMS CONFERENCES: ANALYZING THE PROGRAM COMMITTEE CHARACTERISTICS
Author:	RADWA EL SHAWI
Abstract:	Algorithm represents the computer-based road map for accomplishing a given, well-defined task. In general, computer algorithms form one of the core practical technologies of computer science. In principle, research in theoretical computer science focuses on the design and analysis of algorithms and data structures, as well as the study of fundamental barriers to efficient computation. The research community of this field has been significantly growing in the last decade. In general, in the computer science field, publishing research results is an integral part of a researcher’s professional life. The preference for conference publications is motivated by many arguments such as the high dynamism of the field requiring shorter turnaround time between submissions; the prestige associated with publishing at highly-selective venues. With the main aim of retaining the high quality and the prestige of these conference, program committee members plays the major role of evaluating the submitted papers and deciding which submissions are to be included in the conference programs. In this article we assess the health of the computer algorithms research community by analyzing four top-tier and prestigious computer algorithm conferences (ESA, ICALP, SOCG and SODA) over the period between 2006 and 2015 based on different criteria. We study dynamics in the membership of the committees of the different editions of these conferences. Finally, we report about the major contributing scholars in the committees of these conferences as a mean of acknowledging their impact in the community. This knowledge can be used by prospective authors to decide in which conferences to publish and by conference steering committees or PC chairs to assess their selection process.
Keywords:	Program committee, Steering Committees, Computer Algorithms conferences, Research Communities, committee membership
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2017 -- Vol. 95. No. 8 -- 2017
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Title:	DEVELOPMENT OF A WEB-BASED TENDERING PROTOCOL FOR PROCUREMENT OF CONSTRUCTION WORKS IN A TERTIARY INSTITUTION
Author:	AFOLABI ADEDEJI, OWOLABI DELE, OJELABI RAPHEAL, OYEYIPO OPEYEMI, AINA DAMILOLA
Abstract:	There are myriads of ICT tools in the construction industry but many construction procurement organizations are yet to harness the benefits. Tertiary institutions that are at the forefront of accountability, transparency and openness, engage in a lot of construction works but majority of them do not have e-procurement sites. The aim of the study was to develop a web-based tendering protocol for procurement of construction works in a tertiary institution. The development of a web app and a survey research design was carried out for the study. For the latter, a questionnaire instrument distributed to the client representatives and contracting firms operating within a renowned tertiary institution through a convenience sampling method was utilized. A total of 58 questionnaires were returned between the two groups. The study tested hypotheses using Mann Whitney-U and T-test. The result revealed that there are no significant differences between client representatives and contractors on e-readiness and importance of implementing e-tendering in the procurement of construction works. The study developed a web-based tendering system for procurement of construction works in a tertiary institution using PHP, MYSQL, CSS and HTML. The study recommended the increase in awareness of e-tendering platforms through trainings and implementation and stakeholders should take hold of the benefits of ICT in the construction industry. There is need to create official e-tendering sites for both public and private institutions for the purpose of procurement of construction works to encourage competitiveness among different classes of contractors, enhancing transparency, accountability and proper documentation.
Keywords:	Construction works, ICT, Procurement, Tertiary Institution, Web-Based Tendering Protocols
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2017 -- Vol. 95. No. 8 -- 2017
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Title:	NEW CROSSOVER OPERATOR FOR GENETIC ALGORITHM TO RESOLVE THE FIXED CHARGE TRANSPORTATION PROBLEM
Author:	AHMED LAHJOUJI EL IDRISSI, CHAKIR TAJANI, MOHAMMED SABBANE
Abstract:	Genetic algorithms (GAs) are a class of global optimization methods. It has been used to solve combinatorial problems. Among the difficulties in GAs, the parameter setting and the choice of the crossover operator adapted to the problem. In this paper, we studied the influence of these operators on the performance of the GAs by making a comparative study with different adapted operators to the Fixed Charge Transportation Problem (FCTP) and described the genetic algorithm to find an optimal solution. In addition, we proposed a new crossover operator for solving the FCTP. The experimental results show that the choice of adequate crossover is important to solve each combinatorial problem by genetic algorithm. Moreover, the GA with our developed crossover operator is more efficient.
Keywords:	Combinatorial Problem, Fixed Charge Transportation Problem, Genetic Algorithm, Crossover Operator, Priority Based Encoding
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2017 -- Vol. 95. No. 8 -- 2017
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Title:	THE SYSTEM ARCHITECTURE OF VIBRATORY HAPTIC INTERFACE (SA-VHI) APPLIED WITH JORDANIAN AUTISM CHILDREN
Author:	FARAH.H.ZAWAIDEH
Abstract:	This study aimed to bridge the gap between learning and social interaction by employing learning tools and techniques through the sense of touch to improve social interaction of autism children in Jordan. A computer game that includes haptic interface in a 3D environment which uses the 3D glass and 3D screen was developed. The effects of using vibratory haptic interface to improve social interaction was investigated. The subjects of this study were 20 autistic children suffering from mild autism aged between 9 to 14 years old in National Autism Society of Jordan (NASOJ), from the who have impairments in social interactions. This is the main contribution made by the present study by which the autistic children will be effectively able to interact and communicate with their families, friends, and the entire community. Accordingly, the focus of the present study is autistic children and how to improve their social interaction capabilities, through using 3-D game and glasses; a screen supporting 3-D display with vibratory haptic interface. In particular, how the joystick technique can help the autistic children in improving their social interaction capabilities. Results revealed a significant relationship between satisfaction and social interaction among autism children by using the haptic interface (joystick).
Keywords:	Vibratory Haptic Interface (VHI);social interaction;mild autism children, single-user Virtual Environment (SVE).
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2017 -- Vol. 95. No. 8 -- 2017
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Title:	A PROPOSED MODEL OF E-COMMERCE USING MODERN SOCIAL MEDIA AND ITS IMPACT ON CUSTOMER LOYALTY
Author:	MOHAMMAD SHKOUKANI, OMAR BADRAN, RAWAN ABU LAIL
Abstract:	This study aims to find the impact of social media e-commerce on customer loyalty and discover the impact of each characteristic (measure) of the user experience on customer loyalty. These are Usability, Trustability, Relevancy, and Reputation. It also aims to find the difference in customer loyalty when demographic factors change in aspects of gender, age, and education. On the basis of the theoretical framework, hypotheses were proposed to describe the relationship between the independent variables (Usability, Trustability, Relevancy, Reputation), and the dependent variable loyalty, i.e. the demographic factors (gender, age and education). Data was collected from 990 university students and employees of all levels and ages, through a questionnaire instrument. The hypotheses were tested with hierarchal linear and simple regression analyses, which confirmed that the study hypotheses have positive relationships. Finally there is a significant impact of modern social media e-commerce on customer loyalty.
Keywords:	Social media, E-commerce, Customer loyalty
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2017 -- Vol. 95. No. 8 -- 2017
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Title:	TECHNOLOGY FACTORS INFLUENCING E-GOVERNMENT READINESS
Author:	MUSTAFA OMAR M. BAEUO , NOR ZAIRAH BINTI AB. RAHIM , ASMA ALI MOSA ALARAIBI
Abstract:	A rapidly growing number of countries are realizing that e-government has become a powerful tool for governments, as it can assist with measures such as making public administration significantly more efficient and effective. There is an urgent need for e-government to be able to enhance government administration performance and to provide efficient services to citizens. It can contribute to shortening time and effort as well as alleviating pressures on citizens. E-government projects need government support in order to create, apply, disseminate and continue the experience by providing all necessary resources. Various means of information transmission (such as the media) are vitally important by which to educate the stakeholders and increase their awareness to ensure the success and sustainability of such projects. Moreover, governments should assess their readiness for developing e-government procedures before embarking on the implementation of such a project to avoid any possible failures. Most of the failures of previous e-government measures can be attributed to technology factors. These factors include: infrastructure; security; technological/ technical issues; hard/soft gap; digital divide; internet use; and finally, skills. The successful implementation of e-government relies on assessing the readiness of technology aspects in order to realize the benefits of e-government and reduce potential failures of e-government implementation. Existing studies on e-government readiness lack agreement on the important technology aspects; thus, there remains a need to identify the relevant factors that shape the technology aspects of e-government readiness. The aim of this paper is to identify the said technology aspects of e-government readiness.
Keywords:	Technology Factors, E-Government, E-Government Readiness, E-Government Ready
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2017 -- Vol. 95. No. 8 -- 2017
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Title:	HYBRID BOTNET DETECTION USING ENSEMBLE APPROACH
Author:	SAMSON F, VAIDEHI V
Abstract:	Botnets are one of the most threatening cyber-attacks available today. This paper proposes a hybrid system which can effectively detect the presence of C&C, P2P and hybrid botnets in the network. The powerful machine learning algorithms like BayesNet, IBk, KStar, J48 and Random Tree have been deployed for detecting these malwares. The performance and accuracy of the individual classifiers are compared with the ensemble approach. Labelled dataset of botnet logs were collected from the Malware Facility. Secured data was collected from Christ university network and the combined dataset is tested using virtual test bed. The performance of the algorithms is studied in this paper. Ensemble approach out performed individual classifiers.
Keywords:	Botnet, C&C, P2P, Hybrid Botnets, Ensemble
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2017 -- Vol. 95. No. 8 -- 2017
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Title:	MDAASI: MODEL DRIVEN ARCHITECTURE APPROACH FOR APPLICATION SECURITY INTEGRATION
Author:	LASBAHANI ABDELLATIF, MOSTAFA CHHIBA, ABDELMOUMEN TABYAOUI, OUSSAMA MJIHIL
Abstract:	There have been many research works suggesting Model-driven Architecture (MDA) approaches for automatic application generation and personalization. MDA approach allows code generation from platform-specific models (PSMs) by the means of generators that automatically transform models into the source code for a chosen platform to automate software engineering process. Previous works have widely addressed code generation, but they are not considering nonfunctional aspects such as application security. In this current work, we are proposing some additional MDA mechanisms to generate secure applications based on a given set of security policies. In this context, this approach is used for integrating security properties, such as Authorization, Authentication, Communication encryption, Message Integrity, and Confidentiality of critical data, thus security properties will be incorporated in the generated software during the whole development process or in early abstraction stages. In other words, security models will be merged with the system models in different abstraction levels by applying a set of model-to-model transformation. As a result of this process, the system's source code and configuration files will be generated automatically from communication diagrams by applying a model-to-code transformation.
Keywords:	Model Driven Architecture, Code Generation, Application Security, Communication Diagram.
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2017 -- Vol. 95. No. 8 -- 2017
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Title:	AN IMPROVED HARMONY SEARCH ALGORITHM FOR REDUCING COMPUTATIONAL TIME OF FRACTAL IMAGE CODING
Author:	NADIA M. G. AL-SAIDI, SHAIMAA S. AL-BUNDI, AND NASEIF J. AL-JAWARI
Abstract:	Fractal image coding (FIC) based on the inverse problem of an iterated function system plays an essential role in several areas of computer graphics and in many other interesting applications. FIC received considerable attention because of its high resolution, fast decoding, and many other advantages. However, the method has not been used widely because it required high computation time in the encoding process, which is one of its drawbacks. Many optimization methods are introduced to serve in solving this drawback and reducing the searching time for optimal solution. The approach that based on meta-heuristic methods is promising, which employ some degree of randomness to search for an optimal solution. This study introduces the harmony search algorithm to improve the FIC technique. The algorithm searches for an optimum solution while playing music. Finding music harmony has been proven to solve optimization problems by searching for an optimal solution. This algorithm is naturally inspired and is currently in demand. The experiments show that, compared with other techniques, the proposed method has excellent performance in image quality and reduces the computation time and storage space.
Keywords:	Fractal, iterated function system (IFS), fractal inverse problem, fractal image compression (FIC), harmony search algorithm (HAS).
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2017 -- Vol. 95. No. 8 -- 2017
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Title:	MALAYSIAN ICT COMPREHENSIVE COMPETENCY STANDARDS FOR TEACHERS
Author:	AZIDAH ABU ZIDEN, FONG SOON FOOK, GERARD BOEY KONG HOONG, MUHAMMAD FAIZAL ABDUL RAHMAN
Abstract:	While technology has been recognise as having tremendous potential to enhance learning across all disciplines, there are queries on how teachers in Malaysia are able to optimize and inculcate critical and creative thinking skills by using technology to support teaching and learning. Despite of huge investment in Information and Communication Technology (ICT) over the past decade in various education initiatives, the potential of technology usage in Malaysian schools have not reached the desired outcomes among teachers and students. The study has explored the possible missing link for the realization of the expected return-of-investment by establishing a Malaysian competency standard to review and regulate ICT-related training curriculum. This study proposed to design and develop the Educational Technology Competency Standards for 21st Century Malaysian Teachers by using the modified Delphi technique. Education technology experts from local and foreign universities as well as practitioners of ICT in local schools, colleges and universities formed the Delphi expert panel. Using an initial draft version of the standard developed through literature review, document analysis and expert roundtable discussion, the experts went through an iterative cycle of review, compare, amend and comment until the expert group’s responses achieve consistency for each of the competency elements. The consistent and valid responses for each of the competency elements that achieve consensus then formed a reliable final all-encompassing ICT competency standard for the teaching profession in Malaysia. It is with this ICT competency standard that teacher training programmes can be adequately designed and developed to train teachers to achieve the desired ICT competency standard in compliance with the Malaysia National Education Blueprint 2013 – 2025.
Keywords:	ICT Competency standard; Modified Delphi Technique, Teachers, Teaching Profession, 21st Century Skills
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2017 -- Vol. 95. No. 8 -- 2017
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Title:	FACTORS INFLUENCING KNOWLEDGE SHARING IN ENTERPRISE RESOURCE PLANNING SYSTEM USAGE IN SMALL AND MEDIUM ENTERPRISES
Author:	MOHAMMAD BANY BAKER, ZAWIYAH YOUSOF
Abstract:	Enterprise resource planning (ERP) system is a comprehensive integrated system, which has been increasingly utilized in many organizations. The system is used by organizations to help manage integrated business processes. The success of such systems depends on how ERP users integrate and share relevant knowledge that is needed to ensure the effective performance of their collective task. Thus, it is evident that knowledge sharing is a key factor for the success of ERP system usage. This study aims to identify the factors affecting knowledge sharing among ERP users in small and medium-sized enterprises (SMEs). By means of a survey of 413 ERP users from 32 Jordanian SMEs was executed. It was found that absorptive capacity; organizational culture, top management support, effective communication and ICT tools factors have impacted significantly on knowledge sharing among ERP users. Such as finding could provide guidelines for the management to enhance knowledge sharing process among ERP users other than achieve business benefits with the use of ERP system.
Keywords:	Knowledge Sharing, ERP System Usage, Small And Medium Enterprises
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2017 -- Vol. 95. No. 8 -- 2017
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Title:	IMAGE COMPRESSION TECHNIQUE USING SUCCESSIVE BLOCKS INTERFRAME CODING
Author:	ESCALIN TRESA L, DR. SUNDARARAJAN M
Abstract:	A powerful technique for compressing images is very essential because the raw images needs huge amount of disk space which seems to be a disadvantage for transmission and storage. Though many compression techniques available in the field; a technique is needed which should be faster, more memory efficiency and simple that meets the requirements of the compression vs. quality. In this paper, we proposed a lossless method of image compression and decompression using a technique called Successive Blocks Interframe Coding (SBIC). This technique is simple in implementation and utilizes less memory. An algorithm has been refined and executed to compress and decompress the given images using SBIC technique in MATLAB R2014b simulation tool. The experimental results shows that the SBIC technique is most powerful and gives a good compression ratio without any data loss; while decompresses it reproduces the original image without any loss of data with the same 100% original file quality.
Keywords:	Block Comparison, Neighborhood Similarity, Inter Pixel Redundancy, Hybrid Compression, Lossless Compression, Successive Blocks Interframe, Image Compression
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2017 -- Vol. 95. No. 8 -- 2017
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Title:	APPLYING THE FUNCTIONAL EFFECTIVENESS INFORMATION INDEX IN CYBERSECURITY ADAPTIVE EXPERT SYSTEM OF INFORMATION AND COMMUNICATION TRANSPORT SYSTEMS
Author:	LAKHNO V. A., KRAVCHUK P. U, PLESKACH V. L., STEPANENKO O. P., TISHCHENKO R. V., CHERNYSHOV V.A.
Abstract:	Developing a model for determining the functional effectiveness information criterion for expert system learning to determine the state of cybersecurity, while taking into account known statistical and distance clustering indicators of cyber threats, cyber-attacks (CA), anomalies and also errors of the third type, that may arise in the recognition of complex targeted CA on critical computer systems, including the transport sector. The model for determining the functional effectiveness information criterion of machine learning expert system is developed. It is based on modified entropy and Kullback - Leibler divergence information criterion at clustering features of CA and anomalies that can receive an incoming fuzzy classified learning matrix, that is used as an object of the study, and to build correct decision rules for recognizing complex CA. Tests of the developed expert system were conducted. It is established that the proposed model can significantly increase the anomalies and CA detection effectiveness under constant increase in number and complexity of the destructive influences on computer systems information security. The model for determining the functional effectiveness information criterion capable of self-learning information security expert system is developed. It takes into account potential errors of the third type that may arise and accumulate during the learning of the intellectual system of complex targeted CA detection.
Keywords:	Cyber-Attacks Recognition, Expert System, Sign Clustering, Functional Learning Effectiveness.
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2017 -- Vol. 95. No. 8 -- 2017
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Title:	PROCESS MODEL FOR SYSTEMATIC REQUIREMENTS PRIORITISATION PROCESS IN AN AGILE SOFTWARE DEVELOPMENT ENVIRONMENT BASED ON 5S APPROACH: EMPIRICAL STUDY
Author:	RAMI HASAN AL-TAANI, ROZILAWATI RAZALI
Abstract:	In an unstable software development characterized by the turbulence of markets and the competitive pressures, the organization is forced to adopt new software development methodology to be survival. The agile methods have been introduced to maintain the organization endurance. New challenges await agile methods, when requirement prioritisation and re-prioritisation happened frequently, this leads to unstable and disorganize requirement prioritisation process in agile development environment. To improve its effectiveness and make the environment more systematic and organized, this study proposes an adoption of the lean manufacturing tool, which is 5S approach. The 5S approach improve the work environment as it’s designed to check the process and guaranty that issues are identified and get rid of issues. Consequently, this study aims to identify the issues that affect the requirement prioritisation process. Therefore, in-depth interviews have been carried by involving 18 agile practitioners from different agile software development companies. The data collected for this study were analyzed by using grounded theory techniques (Open, Axial and Selective coding). The results are proposed a process model that will allow an improvement of the process by applying a suitable S to overcome the issues that might lead to unsystematic and disorganize environment.
Keywords:	Agile methods, Requirements Prioritisation process, Lean manufacture, 5S approach, Requirements analysis
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2017 -- Vol. 95. No. 8 -- 2017
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Title:	CLUSTER BASED SLEEP SCHEDULING MECHANISM FOR WIRELESS SENSOR NETWORKS
Author:	SREEVIDYA R. C., NAGARAJA G. S
Abstract:	Wireless Sensor Networks (WSN) are resource constrained. Energy consumption of whole network is balanced at individual nodes. Due to this nodes lifetime is extended. Absence of identifying the redundant nodes causes unnecessary energy consumption. To solve this, an energy efficient cluster method with cluster based redundancy discovery and sleep algorithm for energy efficient routing is proposed. In this work, Cluster heads are chosen based on residual energy, message representative path and distance. A cluster based algorithm is used for discovery of redundant nodes in the network. The algorithm works without any additional directional antennas. In each cluster, clustering sleep scheduling mechanism is initiated when data transfer rate is less than the threshold value. If the data transfer rate do not cross the threshold value, then all nodes in the cluster will go to sleep mode. The proposed method balances the energy at individual nodes and extends the network lifetime.
Keywords:	Wireless Sensor Network, Cluster Head, Minimum Depth Tree (MDT), Intra-cluster Routing, Sleep Scheduling Algorithm.
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2017 -- Vol. 95. No. 8 -- 2017
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Title:	IMPLEMENTATION OF WIRELESS COMMUNICATION SYSTEM USING NETWORK CODING ON WARP
Author:	ENDROYONO, SUWADI, ACHMAD ANSORI, UMMUL KHAIR
Abstract:	Mobility is one of the most interesting assets in modern communications. The need of a very fast data access in wireless communication is become a necessity. It is obligatory to have a good throughput in a wireless limited bandwidth. In this paper we propose to implement a combination of Network Coding and Quadrature Amplitude Modulation (called NC-QAM), started by a simulation and followed by a realization in a Wireless Open-Access Research Platform (WARP) module. Our model consists of two sources and one relay and one receiver. Based on an analytical simulation, theoretically we found that the combination of C-QAM gives us a throughput improvement up to 31.8% compared to QAM without network coding. Based on the same model, the implementation on WARP has been carried-out. Two measurements and evaluations have been performed, with indoor and outdoor channel, by considering distance between two different sources. The evaluation shows that the improvement of combination NC-QAM can reach 14.02% compared to a system without network coding.
Keywords:	Network Coding, Quadrature Amplitude modulation, throughput, wireless Open-Access Research Platform
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2017 -- Vol. 95. No. 8 -- 2017
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Title:	FUZZY CLUSTERING DRIVEN FAST AND INTUITIVE CLASSIFIER LEARNING WITH MAPREDUCE FRAMEWORK
Author:	RAGHURAM BHUKYA, DR. JAYADEV GYANI
Abstract:	Many business organizations exploring their big data resources using Hadoop distributed file system due to its capability in offering fast processing, easy scalability and higher extend reliability on low cost commodity hardware. The efficiency of Hadoop distributed file system is the result of using Mapreduce frame work, which is leading research communities to scale conventional data mining techniques to fit on Mapreduce framework. So far in the research we can found proposals of data mining on Mapreduce frame work concentrating only on scalability factor, but at the same time they are ignoring two important factors which can affect the efficiency, those are reducing number of scans to database and lacking of intuitiveness in obtained data mining results. In order to overcome such short comes and considering importance of classification learning techniques in real time environment, we propose an fuzzy associative classifier learning model using Mapreduce framework which take advantage of Tid-list representation to extract the total classifier with in single scan to database and provides intuitiveness using data driven fuzzy clusters. The experimental results show the proposed model successfully enhanced the fast and intuitive efficiencies of classification techniques for big data analytics without compromising the accuracy.
Keywords:	Associative Classification, Mapreduce, Distributed File Systems, Fuzzy Clustering, Tid-List Representation, Result Intutiveness
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2017 -- Vol. 95. No. 8 -- 2017
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Title:	IMPROVE THE QUALITY OF STATISTICAL METHOD OF OBTAINING REPRESENTATIVE DATA SCHEME FOR DE-DUPLICATION USING FUZZY CLUSTERING AND GENETIC ALGORITHM
Author:	RAVIKANTH.M, DR.D.VASUMATHI
Abstract:	Record De-duplication is the important task under merging different database records. We can provide tuning results to the users after implementation of de-duplication operation. Existing approaches are failing under tuning of web databases and removal of duplicate records. All existing approaches are not providing efficient and effective results [1] [2] [3] [4]. In this paper we are designing one new prototype discussion related to effective and enhanced de-duplication. Prototype design starts with fuzzy clustering and genetic algorithm. Its can control more number of duplicate records compare to other approaches. Its saves more storage and time compare to other approaches [12] [13]. In distributed databases the complexity of finding similarity factor is very high. The existing techniques are not accurate to minimize the duplication in the same data base. In the present work a new technique is proposed to improve the accuracy level [24]. In the proposed work a multi-level technical process implemented like tuning. The tuning technique finds all types of duplicated documents in the database. Here all duplicate files are searched with all attributes in sequential order in tree fashion. The results are further improved and reached to an optimized and acceptable range with new data duplication detection method with Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). It further removes unwanted residual files from the database. Bases on the view of previous ranking system problems a new manifold ranking is proposed in the current research work. In the proposed system the ranking is evaluated with new multimodality manifold ranking with sink points.
Keywords:	Web Databases, De-Duplication Operation, Un-Supervised Duplicate Recognition, Edit Distance Algorithm, Fuzzy Clustering Algorithm, Genetic Algorithm, Margin Relevance
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2017 -- Vol. 95. No. 8 -- 2017
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Title:	IMPACT OF RANDOM BROADCAST OF THE INTERNET ON HUMAN HEALTH: A FIELD STUDY ON AL-NAJAF CITY
Author:	ABDULHUSSEIN ABDULMOHSON
Abstract:	Demands of the Internet services have been increased and grown in the last one decade. Due to absence and weakness of the fiber optic infrastructure in some countries like Iraq. Thus, most of the Internet Service Provider (ISP) used alternative solutions such as wireless broadcasting via central towers based on free frequencies wireless devices ( broadband). Concern on the spread of wireless internet services is growing, considering the lack of control and regulation of this technology, particularly with the plenty of reports of illnesses associated with Wireless Broadcasting and spread devices used for internet broadcast in homes and companies. In this work, we conducted field measurements in an Iraqi city that has more than 1250 towers within 28824 km2. This area is large but is mostly an empty desert, so the concentration of these towers is only about 500 km2. All towers use a free license frequency (5 GHz) to broadcast the internet. The present study took 63 days to finish. It started on 6th October and finished on 7th December. The obtained measurements were compared with international standards of wireless broadcasting for individuals and businesses. The main objective of this research is to verify an Electric Magnetic field (EMF) which is associated with Internet broadcasting from internet towers that do not exceed international standards. Therefore, Internet Broadcasting does not have negative effects on human health specifically to those who lived near the towers.
Keywords:	Wireless broadcasting, Free license frequency; EMF; Standard for EMF exposure; Power density
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2017 -- Vol. 95. No. 8 -- 2017
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Title:	XSD2OWL2: AUTOMATIC MAPPING FROM XML SCHEMA INTO OWL2 ONTOLOGY
Author:	OUSSAMA EL HAJJAMY, LARBI ALAOUI , MOHAMED BAHAJ
Abstract:	XML (extensible Markup Language) nowadays is a common format widely used by domain experts to exchange data and information on the internet. It allows systems to agree on a common syntax and understand each data source that they access. On the other hand, OWL (Ontology web language) contains a group of concepts and properties to make the information in the Web processable and semantically understandable by machines. Compared to XML, OWL is a vision for the future web (web semantic), it gives explicit meaning to information and provides additional vocabulary to formally describe the meaning of the terminology used to annotate Web resources. In this paper we provide and develop a new solution that converts the XML schema into OWL2 ontology. This solution takes an existing XML schema (XSD) as input, loads the XSD document and parses it using DOM parser. Then it extracts its elements with as much constraints as possible and applies our mapping algorithm to create the resulting OWL2 document. Moreover, whole of the transformation processes are done automatically without any outside intervention. Our aim in this work is to take a further step in the existing research works by considering other important XSD aspects and minimizing our algorithm execution cost. In order to apply our approach in real environments, we have developed a tool XSD2OWL2 that implements our mapping algorithm for our conversion model and demonstrates the effectiveness and power of our strategy.
Keywords:	XML schema, XSD, OWL2, ontology, DOM parser
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2017 -- Vol. 95. No. 8 -- 2017
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Title:	TEACHER-LEARNER & MULTI-OBJECTIVE GENETIC ALGORITHM BASED QUERY OPTIMIZATION APPROACH FOR HETEROGENEOUS DISTRIBUTED DATABASE SYSTEMS
Author:	S.VENKATA LAKSHMI , VALLI KUMARI VATSAVAYI
Abstract:	Growing database demands more technological developments and computing paradigms, as Grid and Cloud computing, unleashed new developments in the database technology sector. Query Optimization is essentially a complex search task to obtain the best possible plan from the enormously increasing databases. Heterogeneous Distributed database management systems (DDBMS) are amongst the most important and successful software developments where the query processing is more difficult since large number of parameters effect the performance of the queries. Thus, the author attempted to introduce a new approach for Query Optimization in Heterogeneous DDBMS both for local and global optimization separately. In this paper, two stochastic approaches such as multi-objective genetic algorithm for local optimization and teacher-learner based optimization for global optimization is employed. The local optimization approach deals with optimization within the local sites whereas global optimization works with the sites at different locations globally. Join ordering cost (JOC), Total Local Processing Cost (TLPC) and Total Communication Cost (TCC) are used to obtain the optimal query plans amongst the relation between the query sites. The Experimental Analysis of the proposed approach showed that it has better performance i.e. less cost when compared with other heterogeneous DDBMS and has more cost when compared with the other existing homogeneous approaches.
Keywords:	Query Optimization, Heterogeneous Distributed Database Systems, Multi Objective Genetic Algorithm, Teacher-Learning based Optimization
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2017 -- Vol. 95. No. 8 -- 2017
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Title:	THE VALUE OF T-GIUESE-SUPPORTING USABILITY EVALUATION PRACTICES DURING DEVELOPMENT PRODUCT: A CONTROLLED EXPERIMENT
Author:	FOUAD ABDULAMEER SALMAN, AZIZ BIN DERAMAN, MASITA BINTI ABDUL JALIL
Abstract:	Despite having different underlying concepts, both agile methods and usability evaluation ultimately aim at producing high quality software. This paper presents the results of an empirical study on incorporating usability evaluation activities within an agile development plan. The study includes an experiment testing the effectiveness and efficiency of the proposed tool in implementing the quality aspect of usability. 32 novice participants were divided equally into a group using the conceptual tool and another using ISO standards. Both groups conducted a usability evaluation based on the same project (registered students system). It is concluded that the conceptual tool significantly helps inexperienced software teams to incorporate usability work within an agile environment.
Keywords:	Controlled experiment, Usability Evaluation, Software Development Process, ISO Standards
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2017 -- Vol. 95. No. 8 -- 2017
Full Text

Title:	HOUGH TRANSFORM BASED WATERMARK EMBEDDING ALGORITHM IN DCT FREQUENCY DOMAIN
Author:	MOHAMMED ALSULTAN, THAER ALRAMLI , AMMAR ALBAYATI, ERSIN ELBASI
Abstract:	In this paper, an algorithm has been proposed that makes use of Hough transform to locate the positions of lines in the cover image. The watermark was embedded in these positions in the original DCT domain. The robustness of the new algorithm has been evaluated and the experimental results were compared with the Chaotic Sequence Based Watermarking algorithm, which also work in the DCT domain. The Compression has been done depending on the Performance evaluation for imperceptibility and robustness of proposed algorithms. Several attacks were also used and peak signal to noise ratio (PSNR) value was calculated for cover image and watermarked image. Similarity ratio (SR) for the extracted watermark was also calculated. The Hough-based Watermark technique has been found robust against Gaussian, Histogram, Intensity, Gamma and Corp attacks. Whereas, the Chaotic-based Watermark technique was observed robust against Gaussian, Mean filter, Rotation, Histogram, Intensity, Gamma and Corp attacks.
Keywords:	Chaotic Sequence, Digital Watermarking, Discrete Cosine Transform (DCT), Hough Transform, Peak Signal to Noise Ratio (PSNR)
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2017 -- Vol. 95. No. 8 -- 2017
Full Text

Title:	PARALLEL K-MEANS FOR BIG DATA: ON ENHANCING ITS CLUSTER METRICS AND PATTERNS
Author:	VERONICA S. MOERTINI , LIPTIA VENICA
Abstract:	K-Means clustering algorithm has been enhanced based on MapReduce such that it works in distributed Hadoop cluster for clustering big data. We found that the existing algorithm have not included techniques for computing the cluster metrics necessary for evaluating the quality of clusters and finding interesting patterns. This research adds this capability. Few metrics are computed in every iteration of k-Means in the Hadoop’s Reduce function such that when it is converged, the metrics are ready to be evaluated. We have implemented the proposed parallel k-Means and the experiments results show that the proposed metrics are useful for selecting clusters and finding interesting patterns.
Keywords:	Clustering Big Data, Parallel k-Means, Hadoop MapReduce
Source:	Journal of Theoretical and Applied Information Technology 30^th April 2017 -- Vol. 95. No. 8 -- 2017
Full Text