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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
July 2016 | Vol. 89 No.1

Title:	COBIT BENCHMARKING OF SYSTEM DEVELOPMENT GOVERNANCE FOR A GOVERNMENT AGENCY IN MALAYSIA
Author:	Z.A. HAMID, H. SULAIMAN
Abstract:	The lack of initiative of in-house system development governance has resulted to several issues in the working procedures of the Public Service Department of Malaysia (PSD) and mutual understanding among Business and IT People. The understanding of stakeholders, especially Business-IT people, plays an important role and is responsible for carrying out inter-related values for the success of any developed Information Systems (IS) applications. The lack of understanding on the importance to achieve PSDs business goals by IT people and failure to have applications finished on time, may lead to another enhancement or rectification of the application that causes further time and resource consumption. Likewise, the Business peoples assumption of IS development also lacks understanding on the technical complexities. The impact of improper management of in-house development process may hinder critical application deadline, systems malfunctioning, unsatisfied users and further damage to PSDs quality reputation. The COBIT benchmarking results of system development governance for a Malaysian government agency is presented in this paper through a survey. The survey was carried out among the staff members of the PSD who are internally involved with the system development process. Three (3) sets of questionnaires were distributed to the targeted group of 10 business personnel, 10 IT management personnel and 10 IT technical personnel. The set of questions were derived from COBIT 4.1 Process Maturity Assessment Tool, which was developed by ISACA. It is a simple diagnostic tool based on the COBIT maturity model as defined in COBIT 4.1. The tool can be used to drive awareness and obtain buy-in with regard to the need to address IT governance. Results obtained from the tool can provide an effective and efficient way to determine IT process improvement opportunities to focus on future prioritization mechanism based on PSDs business and IT goals, as well as the identification of important input for strategic and tactical action plans. The results indicate the alignment of business goals to IT goals, as determined by the responses obtained from PSDs staff. Additionally, the tool highlights that PSD only involved 25 IT processes out of the overall 34 COBIT IT processes. A spider-web chart illustrates the current maturity assessment result of each IT-related process in PSD. Results will provide a benchmark for PSD to evaluate their current maturity level of IT processes and the necessary strategies that can be taken to improve the maturity level of each IT processes involved in the organisation, based on their strategic goals and organisational needs.
Keywords:	IT Governance (ITG), COBIT 4.1, IT Process Maturity Assessment Tool, In-house System Development, the Government of Malaysia
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2016 -- Vol. 89. No. 1 -- 2016
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Title:	FEMTO CELL WITH DETERMINISTIC INTERLEAVER
Author:	A.MARY JULIET, S.JAYASHRI
Abstract:	This manuscript intends to tell you about a downlink transmission scheme for femto cell networks grouping OFDM-IDMA. We assign macro users and femto users to a separate sub carrier groups for transmission to eliminate cross tier interferences. We use IDMA with deterministic interleaver, basically to mitigate the co-tier interferences within the same group of users. The system model and deterministic interleaver is explained clearly, the performance of the proposed scheme in terms of spectral efficiency and bit error rate (BER) is explained elaborately. Having analyzed the theoretical aspects and simulations demonstrates that with the combination of femto cell and grouping ,the proposed schemes levels better performance compared with usual OFDM-IDMA system and at the same time a lower complexity is exhibited than the later.
Keywords:	Deterministic Interleaver, femto cell, OFDM , IDMA, interference
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2016 -- Vol. 89. No. 1 -- 2016
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Title:	OIL PALM AGE CLASSIFICATION ON SATELLITE IMAGERY USING FRACTAL-BASED COMBINATION
Author:	SOFFIANA AGUSTIN, PUTRI AISYIYAH RAKHMA DEVI, DENI SUTAJI, NUNIEK FAHRIANI
Abstract:	Palm oil tree is one of the sources of vegetable oil and it has become the worlds biggest need of vegetable oil comparing to other plant. The use of satellite imagery to manage the plantation is very helpful for the stakeholders in supervising the development. To find out the age of oil palm trees from the satellite imagery is done by using the extraction of fractal based texture features. This study purpose an feature extraction methods to recognize the age of palm oil tree on the imagery of panchromatic icons using algorithm of segmentation-based fractal texture analysis (SFTA) which is combined with local features and local binary pattern (LBP). The classification will be done by using multi-layer perception method into four classes, which are the age of adult, young, old palm, and the ones which are not palm. Extraction feature is done in fractal-based using SFTA algorithm, giving accurate result of 72.5 %. The combination of feature extraction using SFTA with the local features give accuracy of 74.5 % and the combination of SFTA and LBP gives the accuracy of 76 %.
Keywords:	Classification, Oil Palm Age, Ikonos-Panchromatic, Segmentation Based Ffractal Fexture Analysis (SFTA), Local Features, Local Binary Pattern (LBP)
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2016 -- Vol. 89. No. 1 -- 2016
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Title:	FACEBOOK USAGE IN PROMOTING THE ACADEMIA EXPERTISE
Author:	NOR INTAN SANIAH SULAIMAN, SAADIAH GHAZALI , NERDA ZURA ZABIDI, MOHD FAIZAL OMAR, ROSE ALINDA ALIAS
Abstract:	This paper means to contemplate online social media usage on knowledge sharing among academia. In the past, numerous researches have been done to investigate how people in general make utilization of this innovation. However there are still restricted studies on how this technological advancement affects the scholarly world. Moreover, in Malaysia most research done in studying the effect of social media is focused on students rather than from academia perspective. For this study, Facebook is chosen as one of online social networking tool for knowledge sharing. Firstly, this study is begun with the exploration of factors that motivate the academia to share their insight through online networking. From the literature review analysis, ability to communicate with colleagues is the most cited reason showing the adoption of social media tools by academia. To understand more on how the Malaysian academia utilizes Facebook as a medium of knowledge sharing, a content analysis on a Facebook page is done. Content analysis is used to study the frequency of post as well as topics discussed among the academia. The findings reveal that there are four main topics regularly shared by the academia which are are information and current news, motivational quote, personal advice from life experience and program promoted.
Keywords:	Knowledge Sharing, Facebook, Content Analysis, Academia Expertise
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2016 -- Vol. 89. No. 1 -- 2016
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Title:	A FAULT TOLERANTAND RELIABILITY MECHANISM FOR WEB SERVICES BY CHANGE MANAGEMENT AND BROKER
Author:	B. MURUGANANTHAM, Dr. K. VIVEKANANDAN
Abstract:	Businesses provide various services that are not offered through one Web Services to users. Component Web Service supply several complex function through a composition of different Web services. Failure of composite services is more vulnerable rather from atomic services. Failure of single Component Services rather unavailable in the implementation of combined Web Services it shows fail of all services. Nowadays World Wide Web consist of a vast quantity of Web Services and many are designed for support mainly kind of business function. Currently, single web services do not support the business enterprises as their necessity is colossal in an environment. Services or Business Source are unable to give the response to the requester. And in that condition entire composite services require to running finally. Thus,the necessity of organization make certain failed services efficiently and rapidly exchanged as well as running procedure is not disturb. For this kind of query to attend modify management problem in LCSs a system is recommended known as Evolution of Long-term Composed Services. Cooperation in mid of autonomous web services and Long-term Composed Services jointly offered value added service. And it results in the long-standing assurances to users.
Keywords:	Web Service, Change Management, Broker, Ev-LCS, Reliability
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2016 -- Vol. 89. No. 1 -- 2016
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Title:	MEASURING USABILITY AND CHILDREN'S ENJOYMENT OF VIRTUAL TOY IN AN IMAGINATIVE PLAY SETTING: A PRELIMINARY STUDY
Author:	KHAIRUNNISA MISPA, EVI INDRIASARI MANSOR, AZRINA KAMARUDDIN, JOANNE HINDS
Abstract:	This paper recounts a preliminary evaluation of childrens imaginative play whilst interacting with a virtual toy. Children aged 5-8 years old played with a virtual toy with a friend and their enjoyment and satisfaction of playing with the toy were evaluated. The complexity of social pretend play and the involvement of communicative strategies were taken into consideration to assist the inquiry of identifying the ability of the virtual toy to support childrens imaginative play. Our analysis demonstrated that children who managed to play imaginatively applied the social pretend play complexity and communicative strategies during the play session. The virtual toy supported childrens imaginative play, hence these findings can help to stimulate future research and the design of virtual toys to support play for remotely separated children.
Keywords:	Children, children's enjoyment, communicative strategies, imaginative play, social pretend play, usability, virtual toy
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2016 -- Vol. 89. No. 1 -- 2016
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Title:	FACE, IRIS, AND FINGERPRINT MULTIMODAL IDENTIFICATION SYSTEM BASED ON LOCAL BINARY PATTERN WITH VARIANCE HISTOGRAM AND COMBINED LEARNING VECTOR QUANTIZATION
Author:	MAHMOUD. Y. SHAMS, AHMAD. S. TOLBA, SHAHENDA. H. SARHAN
Abstract:	Believing of the importance of biometrics in this research, we have presented a fused system that depends upon multimodal biometric system traits face, iris, and fingerprint, achieving higher performance than the unimodal biometrics. The proposed system used Local Binary Pattern with Variance histogram (LBPV) for extracting the preprocessed features. Canny edge detection and Hough Circular Transform (HCT) were used in the preprocessing stage while, the Combined Learning Vector Quantization classifier (CLVQ) was used for matching and classification. Reduced feature dimensions are obtained using LBPV histograms which are the input patterns for CLVQ producing the classes as its outputs. The fusion process was performed at the decision level based on majority voting algorithm of the output classes resulting from CLVQ classifier. The experimental results indicated that the fusion of face, iris, and fingerprint has achieved higher genuine acceptance recognition rate (GAR) 99.50% with minimum elapsed time 24 sec. The evaluation process was performed using large scale subjects claiming to enter the system proving the superiority of the proposed system over the state of art.
Keywords:	Face, Iris, Fingerprint, Combined Learning Vector Quantization, Local Binary Pattern Variance, SDUMLA-HMT, Genuine Acceptance Rate, and majority voting.
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2016 -- Vol. 89. No. 1 -- 2016
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Title:	ICT AS A TRANSFORMATIVE DRIVER FOR SOCIO-ECONOMIC DEVELOPMENT
Author:	ZULKHAIRI MD DAHALIN
Abstract:	This paper presents findings from an ICT transformation lab implemented by one of the state in Malaysia with the aim to demonstrate the important role of ICT as a driver to hasten the socio-economic development of the state. The lab was deemed necessary and timely considering the low ICT adoption and below the national average internet penetration experienced by the state, which make it even more challenging to deploy ICT as an effective tool for the development of the state. The one-month lab gathered experts from the ICT and telecommunication industry as well as related government agencies at the state and federal levels to identify potential ICT projects that can contribute to the development of the state. Numerous techniques for data gathering such as focus group discussions, brainstorming, technology impact analysis, critical success factor analysis, presentations and mappings were carried out. Analysis was based on the National Strategic Framework for Bridging the Digital Divide and mapped against a strategic importance matrix that identifies potential projects classified according to three categories: quick-wins, mid-term duration, and long-term. Results of the lab identified 26 ICT projects, 15 of which were seen to have the potential to become transformative drivers with impact for socio-economic development of the state.
Keywords:	Diffusion, Adoption, Value-Creation, Digital Divide, Quick Wins
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2016 -- Vol. 89. No. 1 -- 2016
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Title:	REAL TIME SCHEDULING FOR DYNAMIC PROCESS EXECUTION USING ROUND ROBIN SWITCHING
Author:	R AKHILESH REDDY, G SIVA NAGESWARA RAO
Abstract:	Scheduling in operating systems is allocate certain amount of CPU time with use of different processes. Task scheduling is also one of the key process in running of different processors in with in life time. Round Robin (RR) is a popular scheduling algorithm allows to utilize the CPU short time for individual task scheduling events in real time process execution. The advancement of RR scheduling performs fine tuning for time slice which do not stipulated time to allocate them in events proceedings based on CPU scheduling. RR also maintains turnaround time, waiting time and response time with processing frequency of context switches. In this paper we improve the performance of RR with integer programming to refine in arrival time analysis in process scheduling with proceedings of all the requirement CPU processes. Every process has reasonable response and arrival time analysis in allocation of scheduling in process allocation. A method the usage of integer programming has been proposed to resolve equations that determine Changeable Time Quantum (CTQ) value that is neither too massive nor too small such that each system has reasonable response time and the throughput of the system is not decreased because of unnecessarily context switches.
Keywords:	Arrival Time, Burst Time, Time Slice, Turnaround Time, Number of Switches, CPU Scheduling, Residual Time, Cyclic Queue
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2016 -- Vol. 89. No. 1 -- 2016
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Title:	GRAPH BASED WORKLOAD DRIVEN PARTITIONING SYSTEM FOR NOSQL DATABASE
Author:	SHIVANJALI KANASE, SWATI AHIRRAO
Abstract:	Cloud computing is the rising technology, which deploys the scalable web applications and provides the storage solutions to the individuals and enterprises. The massively scalable NoSQL data store exhibits the highly desirable scalability and availability by using various partitioning methods, to handle the exponentially growing demands of the users. The data stores are partitioned horizontally and distributed across the geographically dispersed data centers to balance the load. However, if the partitions are not formed properly, it may result in expensive distributed transactions. There are number of existing partitioning techniques available like Hash and Range partitioning, but they are not effectively applied to the workload consisting of fairly small transactions, that touch fewer records and which also do not considers the n-to-n relationship between them. In this paper, Graph-based Workload Driven Partitioning System for NoSQL Database using OLTP workload is proposed to improve the scalability minimizing the distributed transaction. This system works in two phases: 1) generates the graph from transaction workload such as the database tuples are represented as nodes and number of tuples accessed in same transaction are connected by edges. Then graph partitioning technique is applied to find min-cut balanced partition. 2) Uses the decision tree classifier, which gives a range predicate partitioning identical to the partitions, formed by the graph partitioning algorithm. The TPC-C schema is implemented by utilizing Apache CouchDB NoSQL data store, in order to assess the proposed system. The experimental end result indicates that the graph-based schemes significantly improves the response time and latency.
Keywords:	Graph Partitioning Methods, OLTP Workload, Scalability, Distributed Transactions, NoSQL Database, Decision Tree Classifier, Lookup Table.
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2016 -- Vol. 89. No. 1 -- 2016
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Title:	INNOVATION TRAITS FOR BUSINESS INTELLIGENCE SUCCESSFUL DEPLOYMENT
Author:	AZIZAH AHMAD, RAHAYU AHMAD, KAMARUL FAIZAL HASHIM
Abstract:	Business Intelligence (BI) is an innovative technology that facilitates analytics of big data. Deploying BI is a complex undertaking, expensive in nature, and time-consuming task as these software applications are high-risk/high-return projects. Improper implementation may lead to failure and in turn leave organizations into data rich and information poor. This study examines BI from the lens of innovation in which the traits of the innovation tool itself influence its successful deployment in organizations. Rooted from Diffusion of Innovation Theory (DOI), a model was developed and validated by decision makers and executives that involve in various levels of BI deployments in telecommunication industry. The primary data collected through quantitative method were analyzed via structural equation modelling technique. Findings of the study suggest that DOI offers valuable insights into characteristics of BI that influence its successful adoption. In line with the literature on DOI of other type of information systems success, BI characteristics namely relative advantage, complexity, compatibility, and observability are also found to be determinants in ensuring BI success. This study contributes significantly to the existing literature that will assist future BI researchers especially in terms of information system success. Practically, the model serves as guidelines for BI implementers to invest on the relevant skills and resources for fulfilling the requirements of BI successful deployment.
Keywords:	Business Intelligence, Innovation Traits, Diffusion Of Innovation (DOI), Successful Deployment, Quantitative Method
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2016 -- Vol. 89. No. 1 -- 2016
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Title:	MODEL-BASED ARCHITECTING AND MODEL DRIVEN APPROACHES IN E-LEARNING SYSTEM DEVELOPMENT PROCESS: REVIEW OF LMSGENERATOR
Author:	RACHID DEHBI
Abstract:	For many years, various approaches in system design and implementation differentiate between the specification of the system and its implementation on a particular platform. People in software industry have been using models for a precise description of systems at the appropriate abstraction level without unnecessary details. Model-Based Architecting and Model-Driven (MD) approaches in system development process increase the importance and power of models by shifting the focus from programming to modeling activities. Models may be used as primary artifacts in constructing software, which means that software components are generated from models. Software development tools need to automate as many as possible tasks of model construction and transformation requiring the smallest amount of human interaction and why not the total automation of development processes in software engineering. This article focuses on the model-based architecture and software engineering approaches needed for the automation in the software engineering development process. And as an illustrative example it represents the architecture and the functional core of LMSGENERATOR, a software factory for business components and platforms for distance learning.
Keywords:	Model-Based Architecting, model driven engineering (MDE), model driven Architecture (MDA), component-based approach, Learning Management System (LMS).
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2016 -- Vol. 89. No. 1 -- 2016
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Title:	A FRAMEWORK OF KNOWLEDGE PERSONALIZATION IN MOBILE LEARNING
Author:	SHEE YING TOH , NORRIS SYED ABDULLAH , SURAYA MISKON1, AZIZAH ABDUL RAHMAN , HADINA HABIL
Abstract:	Mobile devices usage has grown significantly in the last decade. With the advent of mobile technology, mobile devices have transformed people lifestyle including learning style. Mobile learning uses mobile technologies to carry out learning process. Typically, mobile learning involved individual learning with less or without teachers supervision and guidance. This means that the learners need to manage their knowledge on their own. However, not all learners have similar learning ability and behaviour. The ways they manage their knowledge are different. Hence, offering knowledge personalization to learners is needed to ease the knowledge management in mobile learning context of the learners. Motivated by the lack of research on knowledge personalisation in mobile learning domain, this paper proposes a framework of the knowledge personalization in mobile learning. The framework was developed based on literature analysis conducted on existing personalization research in e-learning domain or other similar domain. The resulted framework consists of three main elements, namely context, content, and learner. This framework can be used as guidance by mobile application developer to produce application that is tailored to learners needs.
Keywords:	Personalization, Mobile Learning, Knowledge Management, Framework Development, Systematic Literature Review
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2016 -- Vol. 89. No. 1 -- 2016
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Title:	BARRIERS TO THE UPTAKE OF E-PROCUREMENT IN THE NIGERIAN BUILDING INDUSTRY
Author:	EGIDARIO B. ADUWO, EZIYI O. IBEM; OBIOHA UWAKONYE, PATIENCE TUNJI-OLAYENI, EMMANUEL K. AYO-VUAGHAN
Abstract:	Although the uptake of e-Procurement technologies and processes by businesses and organizations has been very impressive in the developed countries, the same cannot be said in many developing countries where the uptake of e-Procurement is rather slow and low. This study investigated the barriers to the uptake of e-Procurement using data derived from a questionnaire survey of 213 consulting firms, contractors, client organizations and government establishments in the Nigerian building industry (NBI). The data were analyzed using descriptive statistics, factor and multiple regression analyses. The result shows that the two factors with the most significant adverse effect on the uptake of e-Procurement were the high investment cost, and lack of technical expertise required in setting up e-procurement technologies and processes. Difference between how the researchers and practitioners understood the barriers to the uptake of e-Procurement was observed. Technical, infrastructure, political, social, and cultural issues; the lack of evidence of the benefits of e-Procurement in the building industry; and lack of top management support were the three strongest predictors of low uptake of e-Procurement by the organizations surveyed. The study suggests that to ensure a critical mass uptake of e-Procurement and maximization of its benefits in the procurement of building works, services and materials in Nigeria, there is a need for concerted effort by all stakeholders in the industry to eliminate the barriers identified in this research.
Keywords:	E-Procurement, Barriers, Building Industry, Questionnaire Survey, Nigeria
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2016 -- Vol. 89. No. 1 -- 2016
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Title:	HBASE BULK LOADING JOB SCHEDULER FOR MULTI USER ACCESSIBILITY
Author:	S. LIKHITHA, D.RAJESWARA RAO
Abstract:	While the utilization of Map Reduce methods, (for example, Hadoop) for broad data research has been normally known and investigated, we have of late seen an impact in the quantity of strategies made for thinking data giving. These more recent techniques deal with cloud OLTP programs, though they typically do not support ACID dealings. HBase is an open-source distributed NoSQL store that is commonly used by many Internet businesses to manage their big information processing programs (e.g. Face book or MySpace manages an incredible number of information each day with HBase). Optimizations that can improve the efficiency of HBase are of vital passions for big information programs that use HBase or Big Table like key-value shops. In this document we research the problems natural in mis-configuration of HBase groups, such as circumstances where the HBase standard options can lead to inadequate efficiency. We create HConfig, a semi automated settings administrator for improving HBase system efficiency from several measurements. Due to the space restriction, this document will concentrate on how to improve the efficiency of HBase information loading machine using HConfig. Through this research we believe that the significance of source flexible and amount of work aware auto-configuration management and the design concepts of HConfig. Our trial results show effective group map decreasing in information research in database integration.
Keywords:	Measurement, Performance, Bulk Loading; Optimization; Big Data, HBase Configuration
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2016 -- Vol. 89. No. 1 -- 2016
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Title:	AN EFFECTIVE RESEARCH SUPERVISION MANAGEMENT VIA A MULTI-AGENT SYSTEM
Author:	OMAR ABDULLATIF JASSIM, MOAMIN A. MAHMOUD, MOHD SHARIFUDDIN AHMAD
Abstract:	One of the challenges in research development is supervision management and its related activities. Inexperienced supervisors may have difficulties in recommending the appropriate research activities for their students and the students may not have the skills in research. Consequently, the main aim of this study is to develop a supervision management framework that incorporates a multi-agent system for managing research development. In developing the framework, the most important development stages are analyzed from the literature of research development process. The proposed framework consists of three phases which are Research Development Activities, Performance and Completion Measurement, and Tracking Activities. The components of the framework are discussed as possible implementation for a general application of research supervision management. The proposed framework is validated by 22 experts from Malaysian, Singaporean, and Jordanian universities. The validation results show that the proposed framework is useful to manage the supervision activities of research development.
Keywords:	Task Management; Supervision Management; Research Development Activities; Intelligent Software Agents
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2016 -- Vol. 89. No. 1 -- 2016
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Title:	BUSINESS INTELLIGENCE READINESS FACTORS FOR HIGHER EDUCATION INSTITUTION
Author:	NOORADILLA ABU HASAN, SURAYA MISKON, NORASNITA AHMAD, NAZMONA MAT ALI, HASLINA HASHIM, NORRIS SYED ABDULLAH, ROSE ALINDA ALIAS, MOHD AIZAINI MAAROF
Abstract:	Higher Education Institution (HEI) have embarked on the new style of decision-making with the aim to enhance the speed and reliability of decision-making capabilities. One of the hardest challenges in implementing Business Intelligence (BI) is the organizations readiness towards adopting and implementing BI systems. Currently, few published studies have examined BI readiness in HEI environment. Seeing this challenge, this study aims to contribute in determining the BI readiness factors in HEI specifically in the deployment strategies. Through inductive attention to BI in HEI environment, three broad factors have been identified: a) Organizational - that concerning on business strategies, process and structure, b) Technology - involves the BI system and knowledge for managing including the sources and c) Social - the culture within organization that may influence decision-making and its processes. This paper also makes recommendations for future research.
Keywords:	Business Intelligence Readiness, Technology Readiness, Business Intelligence in University, Readiness Factors
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2016 -- Vol. 89. No. 1 -- 2016
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Title:	ASSESSING THE CURRENT STATE OF THE STOCK MARKET UNDER UNCERTAINTY
Author:	SIHAM ABDULMALIK MOHAMMED ALMASANI, VALERY IVANOVICH FINAEV, WADEEA AHMED ABDO QAID, ALEXANDER VLADIMIROVICH TYCHINSKY
Abstract:	The article is devoted to development methods and models for the study and evaluation the current state of the stock market. For example, the stock market in the Russian Federation. In the stock market, it is very difficult to find the models to measure the securities prices changes, therefore the assessment problem the state of the stock market and forecast of its development are usually solved under conditions of incomplete information. This article presents the basic assessments such as indexes, the current volume of transactions, the volatility, capitalization of the stock market and oil prices. We explained the purpose of them and suggested states for the stock market: stable, transition, growth, unstable and stagnation. These proposed states of the stock market as the most corresponding to the real state of market. In this article we used model to assess the state of the stock market. This model allows us to classify the possible states of the stock market on the basis of measuring the assessment as mentioned above. Depending on the basic sets of the values of assessment the expert gives the linguistic variables, their term-sets and membership functions of fuzzy sets. The experts give set of the standard situations of the stock market. The model contains in its structure rules for assessing the current state of the stock market. The situations assessment model compares between the actual situations with the standard situations and gives inference about the state of the stock market at current time. To perform the research we designed program in an environment Matlab and gave an example of assessing the current state of the stock market.
Keywords:	The Stock Market, Assessing, Incomplete Information, Fuzzy Logic, Decision-Making.
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2016 -- Vol. 89. No. 1 -- 2016
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Title:	SCALABLE TRANSACTIONS USING MONGODB CLOUD DATA STORE
Author:	LALITA CHAPLE, DR. SWATI AHIRRAO
Abstract:	Cloud computing exists as a rising technology that provides the functionality of available and highly scalable web applications at extremely low cost. Building a scalable, available and consistent cloud data store is the challenge now a days. Scalability is improved by using primary technique that is data partitioning. Classical, Partitioning strategies are not able to track the patterns of the web applications. This paper implements workload-driven approach rest on data access patterns in MongoDB for improving scalability. As observed from results it generates less number of distributed transactions. Similarly, implementation and validation of scalable workload-driven partitioning scheme are accomplished via experimentation over cloud data store (MongoDB). An experimental outcome of the partitioning strategy is managed by utilizing the industry benchmark TPC-C.
Keywords:	Scalability, Oltp, Data Partitioning, Partitioning Scheme, Workload-Driven
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2016 -- Vol. 89. No. 1 -- 2016
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Title:	DYNAMIC ACCESS CONTROL POLICIES IN SECURE OUR SOURCED DATA IN CLOUD STOTAGE
Author:	S.SAMPATH, MR.B.TIRAPATHI REDDY
Abstract:	Cloud computing has emerged as maximum influential parameter in actual time IT enterprise in recent 12 Months configuration for with appropriate occasions in allotted computing. Out sourced backup data in Third birthday celebration cloud storage is a successful service to reduce statistics management costs and security concerns of integrity records of cloud statistics garage. Historically layout FADE (policy primarily based document assured Deletion), is a practical deployable of cloud garage machine in covered cloud facts. FADE is built upon trendy cryptographic techniques with outsourced facts in cloud storage system. FADE be afflicted by inflexibility in get entry to manipulate of out sourced data. As a way to recognize scalable and flexible with find grained get admission to manage in cloud computing. So on this paper we advise to develop Hierarchical attribute based Encryption (HASBE) by using extending cypertext guidelines with hierarchical shape of users. We enforce our software in each green and flexible in handling get entry to control in out sourced records in cloud computing with complete applications and experiments. Our experimental results display efficient get entry to control in consumer revocation and grant permission in real time evaluation of processing cloud packages.
Keywords:	Cloud computing, Attribute Based Encryption, Policy based file assured deletion, Prototype Implementation
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2016 -- Vol. 89. No. 1 -- 2016
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Title:	INVESTIGATIONS ON TASK AND ROLE ASSIGNMENT PROTOCOLS IN WIRELESS SENSOR NETWORK
Author:	TITUS. I, SALAJA SILAS, ELIJAH BLESSING RAJSINGH
Abstract:	Wireless sensor networks (WSN) have gradually evolved along the years in terms of hardware, protocols and standards. The multifunctional sensor nodes (MSN) have improved in terms of power, communication range, memory and battery capacity. Wide range of WSN applications such as environment monitoring, health monitoring, military applications, video surveillance, natural disaster detection, seismic sensing, etc., are based on multifunctional sensor nodes. The multifunctional sensor nodes are capable of performing similar tasks or roles with different quality of service parameters. The assignment of roles and task to the suitable sensor nodes would ensure the increase in performance and longevity of the network. This paper investigates the various existing task and role assignment algorithms and also highlights the various research challenges. The investigations are carried out in terms of computational complexity, robustness, communication complexity, network lifetime and energy consumed for task and role assignment algorithms.
Keywords:	Task, Role, Task Assignment, Role Assignment, Multifunctional sensor node, Wireless Sensor Network.
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2016 -- Vol. 89. No. 1 -- 2016
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Title:	MAKING MEANING FROM CHILDRENS DIARY DATA: THEMATIC ANALYSIS
Author:	NOOR HIDAYAH AZMI, FARIZA HANIS ABDUL RAZAK
Abstract:	Children today are different from children of the past. They move to a level which surprised the earlier generations. They are emerging as an active user of social networking sites (SNS) who influenced by different experiences that shape their perceptions and behavior. Thus, their current social behavior is the important aspects to be explored and investigate. Previous research was conducted to gain insights about children’s behavior with SNS using probes diary. In this paper, we were making meaning of the diary data by thematic analysis, the most common qualitative technique in HCI. By using thematic analysis, we categorized and coded the data and identified the major themes among them. This analysis is supported by the ATLAS.ti software tool. The results show the main themes such as personal information, goals, social connection, social activities and social emotion. These themes were associated with significant contribution to explore the behavioral variables of child SNS behavior.
Keywords:	Probes, Diary, Thematic Analysis, Social Networking Sites (SNS) Behavior
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2016 -- Vol. 89. No. 1 -- 2016
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Title:	DETECTION OF BLACKHOLE & GREYHOLE ATTACKS IN MANETs BASED ON ACKNOWLEDGEMENT BASED APPROACH
Author:	Mr. K CHAITANYA, Dr. S VENKATESWARLU
Abstract:	A MANET is a choice of flexible locations that are gradually and randomly organized in the interconnections between locations are prepared for modifying on stable organization. Because of security disadvantages of the redirecting techniques, Wi-Fi ad-hoc frameworks are unprotected to attacks of the risky locations. Normally suggest AODV strategy for black hole recommendation in Wi-Fi suggestion frameworks. However, because of the open framework and hardly to be had battery-primarily based power, node misbehaviors may also are available. One such redirecting bad behavior is that some self-centered nodes will take part in the route finding and servicing techniques however reject to ahead information packages. In this document, we suggest the 2ACK plan that provides as an add-on strategy for redirecting techniques to identify redirecting bad behavior and to minimize their adverse impact. The simulated results may achieve effective efficiency in suggested schema.
Keywords:	Manets AODV Protocol, DSR Routing Protocol, 2ACK Scheme, Intrusion Detection Systems.
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2016 -- Vol. 89. No. 1 -- 2016
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Title:	FUZZY ORIENTED RISK ASSESSMENT IN ENTERPRISE INFORMATION SYSTEMS
Author:	G.MANI BHARAT, Dr. M.SEETARAMA PRASAD
Abstract:	Records in corporation infrastructure is greater complex and face a troubles with threat in employer property increasing workload performance in real time packages. therefore evaluation of the process identity, and mitigation of records protection in agency applications may obtain promising concept in facts security. Traditionally Quantitative statistics protection analysis method proposed for business enterprise packages in real time facts safety. Specific technique identifies the chance-vulnerability pair liable for a threat and computes a chance element similar to every protection property for each asset. Because of this an assault on one asset can be propagated through the network and threaten an organizations maximum valuable belongings. Linguistic terms are used by the experts to represent assets values, dependencies and frequency and asset degradation associated with feasible threats. Computations are based totally on the trapezoidal fuzzy numbers associated with these linguistic terms.
Keywords:	Information Systems, Risk Analysis, Fuzzy Information Analysis, Enterprise Information Security
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2016 -- Vol. 89. No. 1 -- 2016
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Title:	COMPARATIVE STUDY OF IC, P&O AND FLC METHOD OF MPPT ALGORITHM FOR GRID CONNECTED PV MODULE
Author:	M. LAMNADI, M. TRIHI, Badre BOSSOUFI, A.BOULEZHAR
Abstract:	The photovoltaic (PV) system is one of the renewable energies that attract the attention of researchers in the recent decades. The PV generators exhibit nonlinear I-V and P-V characteristics. The maximum power produced varies with both irradiance and temperature. Since the conversion efficiency of PV arrays is very low, it requires maximum power point tracking (MPPT) control techniques. The purpose of this paper is to study and compare three maximum power point tracking (MPPT) methods in a photovoltaic simulation system using perturb and observe method, Incremental conductance method and Fuzzy Logic Control method. MATLAB/Simulink used to establish an Implementation of MPPT Algorithm for Grid Connected PV module. This system is developed by combining the models established of solar PV module &MPPT, DC-DC Boost converter, DC/AC converter. The system is simulated under different irradiation (between 250 W/m2and 1000 W/m2). Simulation results show that the photovoltaic simulation system can track the maximum power point accurately.
Keywords:	Photovoltaic System, MPPT, Incremental Conductance Method, Perturb And Observe Method, Fuzzy Logic Control Method (FLC) And Simulation Results
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2016 -- Vol. 89. No. 1 -- 2016
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Title:	REALIZATION OF FRAME-BASED TECHNOLOGIES IN THE CONTEXT OF EDUCATION INFORMATIZATION
Author:	KULGILDINOVA T.A. , UAISSOVA G.I.
Abstract:	The present paper focuses on the problem of using a frame-based theory in the context of education informatization. The purpose of this research is to define the role of frame technologies in the educational process and to describe their characteristics. The importance of this paper is determined by the age of information technologies, in particular, by the necessity to 'compress' the teaching material in order to facilitate the interpretation of information by learners. With the introduction of information technologies in education, there is an opportunity to create most advanced learning techniques which improve the assimilation of learning material and allow teachers to pay more attention to the individual and personal growth of students and to direct their creative development. Frames underlie the structure of e-books, tablet PCs and smartphones, and they are necessary for self-education and the development of the ability to work independently. It was found that the frame-based technique used by the teacher skillfully directs students to text reproduction, text formation and text perception, i.e. teaches to analyze the received educational information. Frames allow to manipulate both declarative and procedural knowledge.
Keywords:	Computerization, Informatization, Information Technologies, Frame, Slot
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2016 -- Vol. 89. No. 1 -- 2016
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Title:	FORECASTING OF LEAD ACID BATTERY CAPACITY BASED ON LEVENBERG MARQUARDT NEURAL NETWORK
Author:	B. S. KALOKO, M. UDIN, A. H. LOKA
Abstract:	One of the discussion in the research of electric vehicle is the energy source or battery. Due to mature technology, environmental friendliness, and low cost, the lead acid battery has been widely accepted in electric vehicle. It is necessary to forecast battery capacity in electric car in order to know when the time to recharge the battery or replace it. The Levenberg Marquardt algorithm is chosen to adaptively optimize weights at each epoch so as to accommodate time-varying system conditions. In a state of nominal current of 1.2 A, battery discharge graph has 1.8617 Ah and 1.55 hours compared to simulation results 2 Ah and 1.38 hours thus 10.96 % of error is obtained. When the load is 8 W, showed 1.5 Ah of battery capacity and 3.1 hours with small error 1.58 % compared to the current load on the nominal load is equal to 20 W produced a greater error 27.27 % with 1.86 Ah and 0.8 hours. This means that the system made it would be better if used under a nominal load of the above nominal load. But it needs to design better system to maintain more accurate results of the battery capacity and the time.
Keywords:	Capacity of battery, Lead Acid Battery, Artificial Neural Network (ANN), Feedforward Backpropagation, Levenberg Marquardt
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2016 -- Vol. 89. No. 1 -- 2016
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Title:	MINING EDUCATIONAL DATA TO ANALYZE TEACHING EFFECTIVENESS
Author:	ANWAR ALI YAHYA, ADDIN OSMAN, MOHAMED KHAIRI
Abstract:	Teaching effectiveness is a multidimensional construct in which teacher questioning skill is one of its key indicators. This paper explores the feasibility of applying data mining techniques to analyze teaching effectiveness using a data set of teachers questions. More specifically, the performance of nine data mining techniques is investigated for the classification of teachers classroom questions into the six Blooms cognitive levels. To this end, a data set has been collected, annotated with Bloom’s cognitive levels, transformed into a suitable representation, and the data mining techniques have been applied. The results confirm the feasibility of applying data mining techniques to analyze teaching effectiveness. Moreover, the results show that the performances of these techniques vary, depending on the sensitivity of each technique to the curse of dimensionality problem. Most remarkably, Support Vector Machine and Random Forest techniques show a striking performance, whereas Adabost and J48 show a sharp deterioration in their performances as the dimensionality grows.
Keywords:	Data Mining, Teaching Effectiveness, Machine Learning, Curse of Dimensionality, Learning Analytics
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2016 -- Vol. 89. No. 1 -- 2016
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Title:	AUTOMATED DEFORM DETECTION ON AUTOMOTIVE BODY PANELS USING CLASSIFIERS BASED SEGMENTATION
Author:	M. Z. B. EDRIS, M. S. I. M. ZIN, Z. ZAKARIA, M. S. JAWAD
Abstract:	Automatic deform detection on automotive body panel is challenging owing to its localization on a large surface, variation in appearance, and their rare occurrences. It is difficult to detect these deforms either by physics-based models or by small-sample statistics using a single threshold. As a result, this problem is focused to derive a set of good-quality deform detection from the surface images. These detection should discriminate the various surface deforms when fed to suitable machine learning algorithms. This research used first order derivative such as gradient filtering and background illumination removal to identify the deform area. An algorithm to segment the deform area has been developed. It localizes deforms employing kernel classifiers, such as Artificial Neural Network (ANN) and Support Vector Machine (SVM). The test result on artificial car door with two types of deformations which is ding and dent
Keywords:	Deformation Detection, Segmentation, Gradient Filtering, Artificial Neural Network, Support Vector Machine
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2016 -- Vol. 89. No. 1 -- 2016
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Title:	EFFECTIVENESS STUDY ON MULTIMEDIA MOBILE APPLICATION FOR CHILDREN: MFOLKTALES
Author:	NORSHAHILA IBRAHIM, WAN FATIMAH WAN AHMAD, AFZA SHAFIE
Abstract:	Mobile application has been used widely among children as a supplement for learning purposes. These handheld technologies such as smart phone and tablet have been chosen as they are easy to carry anywhere and anytime and easy to get as they are become cheaper nowadays. Following from that, a mobile application called MFolktales have been designed and developed for children to promote Malay folktales to the new generation as Malay folktales became extinct and almost forgotten. This paper discusses the effectiveness testing for MFolktales application to measure effectiveness level in students comprehension performance after using the MFolktales mobile application. In the other hand, the study also conducted to evaluate the hypotheses to summarize the relationship between the samples that have been used in the testing. The testing was conducted among 90 students aged 5 and 6 years old which then divided into three groups which are control group (CG), experimental group 1 (EG1) and experimental group 2 (EG2). CG and EG1 are control groups while EG2 is experimental group. Result from the post-test show that, there is a significant difference between the post-test means scores of the students in CG, EG1 and EG2. Results also show that, there is a significant difference between the mean scores for the students in CG, EG1 and EG2. Thus, MFolktales application can be considered as effective.
Keywords:	Multimedia Mobile Application, Human Computer And Interaction, Quasi Experiment, Education, Malay Folktales
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2016 -- Vol. 89. No. 1 -- 2016
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