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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 2013 | Vol. 53 No.3

Title:	OPTIMAL PARAMETERS SELECTION TO REDUCE CUTTING TEMPERATURE OF MILD STEEL USING PARTICLE SWARM OPTIMIZATION INTELLIGENT TECHNIQUE
Author:	ADNAN JAMEEL, MOHAMAD MINHAT, MOHAMAD NIZAM
Abstract:	The temperature evolution, which happened in cutting operations due to heat, influences the properties of the cutting tool and work piece materials. This study focuses on the primary heat zone so called shear zone and secondary heat zone which also called tool-chip interface zone temperatures during turning a mild steel work piece via carbide insert cutting tool in process of CNC turning operation in dry machining. The temperature between the tool and the work piece can be neglected because it is small and also can be reduced using cutting tool with sharp cutting edge. Two new objective functions are proposed to optimize the cutting temperature problems. The proposed system uses particle swarm optimization (PSO) methodology to find the ideal cutting parameters which help in finding the optimal temperatures. This research shows that there is lack of machining conditions optimization studies especially in the field of the cutting tool temperature optimization. The study also shows that the feed rate has a major affect on the cutting temperature compared with other parameters.
Keywords:	particle swarm optimization (PSO), temperature optimization, CNC turning machine, shear zone temperature, tool-chip interface temperature.
Source:	Journal of Theoretical and Applied Information Technology July 2013 -- Vol. 53. No. 2 -- 2013
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Title:	FUZZY LOGIC APPROACH TO IMPROVING STABLE ELECTION PROTOCOL FOR CLUSTERED HETEROGENEOUS WIRELESS SENSOR NETWORKS
Author:	BAGHOURI MOSTAFA, CHAKKOR SAAD, HAJRAOUI ABDERRAHMANE
Abstract:	The wireless sensor network is composed of a set of nodes which energy is limited in terms of computing, storage and communication power. In this network, a few nodes become cluster head which causes the energetic heterogeneity of the network, therefore the behavior of the sensor network becomes very unstable as soon as the life of the first node is elapsed. SEP has proposed the extension of time to network stability before the death of the first node and the reduction of unstable time before the death of the last node. This protocol is based on the election of cluster head by the balance of the probabilities of the remaining energy for each node. In this paper, we propose to improve SEP by fuzzy logic (SEP-FL). We show by simulation in MATLAB that the proposed method increases the stability period and decreases the instability of the sensor network compared with LEACH, LEACH-FL and SEP taking into account the energy level and the distance to the base station. We conclude by studying the parameters of heterogeneity as the protocol proposed (SEP-FL) provides a longer interval of stability for large values of additional energy brought by the more powerful nodes (advanced).
Keywords:	WSN, Fuzzy Logic, SEP, Energy, Heterogeneous Clusters, Lifetime.
Source:	Journal of Theoretical and Applied Information Technology July 2013 -- Vol. 53. No. 2 -- 2013
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Title:	CLUSTER LABELING WITH LINKED DATA
Author:	MARTIN DOSTAL, MICHAL NYKL, KAREL JEŽEK
Abstract:	In this article, we would like to introduce our approach to cluster labeling with Linked Data. Clustering web pages into semantically related groups promises better performance in searching the Web. Nowadays, only special semantic search engines provide clustering of results. Other engines are doubtful as far as the quality of clusters and moreover a dependable system for labeling these clusters is lacking. Linked Data is a set of principles for publishing structured data in a machine readable way with regards to linking with other Web resources. This enables data from different sources to be connected and queried over the Internet. The information from Linked Data can be used for preliminary estimates of topics covered by a set of documents. Topics are represented as resources from Linked Data and are used for smooth human-readable labeling of clusters.
Keywords:	Cluster labeling, Linked Data, Clustering, Semantic web
Source:	Journal of Theoretical and Applied Information Technology July 2013 -- Vol. 53. No. 2 -- 2013
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Title:	ELECTRONIC RECORDS MANAGEMENT IN INSTITUTIONS OF HIGHER LEARNING IN LIBYA: ADOPTION OF DIRKS MODEL
Author:	YOUSEF I. ABUZAWAYDA, ZAWIYAH MOHD YUSOF, MOHD AB AZIZ
Abstract:	Institutions of Higher Learning (IHL) have now produced and created most of their documents and records electronically. These records need to be managed efficiently and effectively according to the widely accepted standards. Well-managed records could give untold benefits to organization, hence, help organizations remain competitive. The management of electronic records ought to be guided by a policy, which serve as a roadmap in implementing the initiative. A study is conducted in order to determine whether Institutions of Higher Learning in Libya have guideline to manage electronic records. It is also to identify whether there are problems in managing electronic records, and to identify what problems are encountered. This study adopts survey as its method employing a questionnaire as the technique to collect data.
Keywords:	Electronic Records, Records Management, Libyan Institutions Of Higher Learning, Information Policy.
Source:	Journal of Theoretical and Applied Information Technology July 2013 -- Vol. 53. No. 2 -- 2013
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Title:	E-LEARNING SYSTEM IN THE UNIVERSITY OF JORDAN: PROBLEM SOLVING CASE STUDY
Author:	WALA'A QUTECHATE, TAMARA ALMARABEH, REEM ALFAYEZ
Abstract:	No one can deny the role of Information and communication technology (ICT) in our lives, and integrating it with the various sectors. The education sector is not immune of these sectors. The learning process is a complex process where student’s motivation, teacher, learning material and several other aspects interact with each other. This paper investigates two areas which are learner motivation toward e-learning and the learning preferences of students by using Visual, Aural, and Kinesthetic (VAK) Model, measuring students satisfaction and motivation, the difficulty they encountered, and time consumed. Good response toward e-learning, where e-learning students scores were the same with traditional learning even higher in the kinesthetic e-learning approach with increasing satisfaction ,reduction of the difficulty, and excellent results in time reduction. Students exhibit a high level of preference for kinesthetic learning even they have a shallow background about dealing with computer systems.
Keywords:	E-Learning, Learning Style Model, VAK Model.
Source:	Journal of Theoretical and Applied Information Technology July 2013 -- Vol. 53. No. 2 -- 2013
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Title:	DETAILED LITERATURE SURVEY ON DIFFERENT METHODOLOGIES OF UNIT COMMITMENT
Author:	N.MALLA REDDY, N.V.RAMANA, K.RAMESH REDDY
Abstract:	This Paper explores the existing methodologies for the solution of unit commitment problem of large size power system. The survey covers exhaustive review of literature available over the past five decades published by the Pioneers, Experts & Researchers working in this field. It includes publications in standard international journals like IEEE, IEE, ELSEVIER etc, and proceedings of prominent international conferences. The various methods employed to solve the unit commitment problem can be broadly grouped as Conventional and Intelligent. The conventional methodologies include the well known techniques like Priority List, Dynamic Programming, Lagrange Relaxation, Branch-and-Bound , Integer and Mixed- Integer methods. Intelligent methodologies include the recently developed and popular methods like Genetic Algorithm, simulated annealing, ant colony, Particle swarm optimization, Fuzzy Logic and Neural Networks. This paper summarizes salient features, merits and demerits of, as well as contributions made by research scholars and experts on each of the unit commitment method based on detailed review and critical examination of various methods, The contents of this paper provide ready-to-refer and ready to use information for the researchers working in the field of unit commitment.
Keywords:	Priority List, Dynamic Programming, Lagrange Relaxation, Integer And Mixed Integer Methods, Genetic Algorithm, Particle Swarm Optimization, Ant Colony, Simulated Annealing
Source:	Journal of Theoretical and Applied Information Technology July 2013 -- Vol. 53. No. 2 -- 2013
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Title:	AN EVOLUTIONARY PROGRAMMING APPROACH TO OPTIMIZE SYNCHRONOUS GENERATOR INPUT POWER USING AREA-BASED TRANSIENT STABILITY INDEXES
Author:	H. HASHIM, I. Z. ABIDIN, I. MUSIRIN, KEEM SIAH YAP, Y. R. OMAR, M. R. ZULKEPALI
Abstract:	Stable operation of a power system requires a continuous match between energy input to the prime movers and the electrical load of the system. Any change of load demand must be accompanied by a corresponding change in terms of the amount of energy prime mover given to the turbine system. When a power system is subjected to significant transient disturbances, the machine may lose synchronism to the system. If this were to happen, the machine’s rotor angle will undergo wide variations, voltage and frequency may deviate widely from normal values. This paper presents the applications of Area-Based Transient Stability Indexes (TSI): COI Angle and COI Speed as a new technique to evaluate the impact of disturbances to power system stability and to optimize the mechanical input power of synchronous generators in order to prevent transient instability in a power system using Evolutionary Programming (EP) approach. Transient analysis is carried out using PSSE software on IEEE 118 Bus Test System at system conditions with various types of loads, static and dynamic. The optimization of the input power to generator is carried out using transient stability indexes as fitness functions for a three area IEEE 30 Bus and IEEE 118 Bus Test Systems respectively. Results obtained from the experiment revealed that the EP approach is able to give an optimal solution.
Keywords:	Area-Based Transient Stability Indexes: COI Angle and COI Speed, Optimization, Evolutionary Programming
Source:	Journal of Theoretical and Applied Information Technology July 2013 -- Vol. 53. No. 2 -- 2013
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Title:	ADAPTIVE DYNAMIC RESOURCE SYNCHRONIZATION DISTRIBUTED MUTUAL EXCLUSION ALGORITHM (ADRS)
Author:	MARIAM ITRIQ, WAFA DBABAT, AHMAD SHARIEH
Abstract:	Existing mutual exclusion algorithms for distributed systems are not well suitable for mobile system, because of several limitations: small memory, a relatively slow processor, low power batteries, and communicate over low bandwidth wireless communication links. In this paper, we adapted the DRS mutual exclusion algorithm applying it on the infrastructure machines that communicate directly with the mobile hosts, called Mobile Support Stations (MSS) with some modifications. As DRS algorithm, the adapted version ADRS tends to minimize the number of messages needed to be transmitted in the system, by reducing the number of sites involved in the mutual exclusion decision, and reducing the amount of storage needed at different sites of the system.
Keywords:	Distributed systems, Permission, Synchronization, Mutual exclusion, MSS
Source:	Journal of Theoretical and Applied Information Technology July 2013 -- Vol. 53. No. 2 -- 2013
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Title:	A NOVEL CHEMICAL REACTION OPTIMIZATION ALGORITHM FOR HIGHER ORDER NEURAL NETWORK TRAINING
Author:	K. K. SAHU, SIBARAMA PANIGRAHI, H. S. BEHERA
Abstract:	In this paper, an application of a novel chemical reaction optimization (CRO) algorithm for training higher order neural networks (HONNs), especially the Pi-Sigma Network (PSN) has been presented. In contrast to basic CRO algorithms, the proposed CRO algorithm used to train HONN possesses two modifications. The reactant size (population size) remains fixed throughout all the iteration, which makes it easier to implement; and adaptive chemical reactions followed by a strictly greedy reversible reaction have been used which assist to reach the global minima in less number of iterations. The performance of proposed algorithm for HONN training is evaluated through a well-known neural network training benchmark i.e. to classify the parity-p problems. The results obtained from the proposed algorithm to train HONN have been compared with results from the following algorithms: basic CRO algorithm and the two most popular variants of differential evolution algorithm (DE/rand/1/bin and DE/best/1/bin). It is observed that the application of the proposed CRO algorithm to HONN training (CRO-HONNT) performs statistically better than that of other algorithms.
Keywords:	Artificial Neural Network, Higher Order Neural Network, Pi-Sigma Neural Network, Chemical Reaction Optimization, Differential Evolution
Source:	Journal of Theoretical and Applied Information Technology July 2013 -- Vol. 53. No. 2 -- 2013
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Title:	AN ONTOLOGY-BASED INTRUSION DETECTION FOR VEHICULAR AD HOC NETWORKS
Author:	M.ERRITALI, B. EL OUAHIDI, B.HSSINA, B. BOUIKHALENE, A. MERBOUHA
Abstract:	A vehicular ad hoc network (vanet) is an independent system of vehicles connected by wireless connection to form a network. This type of network is used to reduce the number of accidents via the exchange of alert messages between the neighborhood vehicles. These alert messages constitute an ideal target for attacks that aim to prevent them to reach their destinations, and thereby endangering human lives. In vanet ,intrusion detection has become an indispensable defense line in face of vulnerabilities such as high mobility, shared wireless medium and the absence of centralized security services offered by dedicated equipment , where authentication and access control mechanisms routinely prove inadequate in preventing new and increasingly numerous and disastrous attacks .However, when we think to deploy an ids the major problem rest the characterization of an intrusion. The use of a semantic resource such as ontology could be an effective way to enrich data about intrusions to respond more specifically to complex questions about the definition, nature, characteristic of the intrusion. In this paper, an ontology for vanets Security has been modeled and specified using Web Ontology Language (OWL). The aim is to provide a complete classification which takes into account the impact of attacks and intrusions on the offered service, in terms of functionality implemented in routing protocols and other applications.
Keywords:	Ontology, Intrusion detection, OWL, Vanets, security.
Source:	Journal of Theoretical and Applied Information Technology July 2013 -- Vol. 53. No. 2 -- 2013
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Title:	ADAPTIVE SENSING RANGE FOR CO-OPERATIVE SENSING COGNITIVE RADIO.
Author:	AARTI MANDAL, A. KARTHIKEYAN, T.SHANKAR, V.SRIVIDHYA
Abstract:	Cognitive radio is emerging as an effective solution against the spectrum scarcity issue. The main processes which make up the cognitive radio working are the spectrum sensing, learning and adapting procedures. Co-operative sensing is a method in which the nodes share the spectrum sensed data. In ad-hoc network the decentralized nature makes it quite difficult to gather sensing data with constraints like energy consumption, shadowing, hidden terminal and fading effect. In cognitive radio ad-hoc network these effects creates issues in spectrum allocation and management. In this paper, the hidden terminal issue is considered with the solution of adaptive sensing range in a static network. The nodes in the ad-hoc network have sensing and transmitting ranges. The sensing helps to gain knowledge about the channels which are occupied by overhearing the RTS/CTS or ACK transmission or reception by the nearby nodes. The sensing range of a node is always greater than the transmitting range of a terminal. The sensing range if varied as per the transmission to the receiver then hidden node issue can be dealt to a great level. With the help Cognitive radio Network Simulator (CR-NS) adaptive sensing is simulated for an ad-hoc network and also its effect on throughput, packet loss, normalized routing load, end-to-end packet delay is also compared with respected to a fixed sensing environment.
Keywords:	Cognitive Radio, Hidden Node, Co-Operative Sensing, Cognitive Radio Network Simulator (CR-NS)
Source:	Journal of Theoretical and Applied Information Technology July 2013 -- Vol. 53. No. 2 -- 2013
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Title:	SSPC ALGORITHM BASED ON THREE DIFFERENT METHODS FOR ONLINE SKYPE TRAFFIC CLASSIFICATION
Author:	HAMZA AWAD HAMZA IBRAHIM, SULAIMAN MOHD NOR, IZZELDIN IBRAHIM MOHAMED ABDELAZIZ, ALI AHMED ALFAKI ABDALLA
Abstract:	Classification of real time applications such as Skype and online games has gained more attention in the last few years. Most of the current Skype classification methods were only valid for offline classification. Each of the three common classification methods (port, payload, statistics based) has some limitations. To increase the quality of Internet traffic classifier, this paper combined the three methods to products a new classification algorithm (SSPC). In the proposed algorithm, each traffic flow was classified parallel three times by one of the three method classifiers. Based on some priority rules, SSPC makes classification decision for each flow. The SSPC algorithm was used to classify Skype traffic in two stages offline and online. The results of both cases shown, SSPC is the higher accuracy when compared with other classifiers. Also, the results indicate that the SSPC algorithm was suitable for online classification decision which is taken within capturing time.
Keywords:	Internet Traffic classification, Skype classification, Online classification, Machine Learning, classification Algorithm
Source:	Journal of Theoretical and Applied Information Technology July 2013 -- Vol. 53. No. 2 -- 2013
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Title:	COMPARING E-COMMERCE CONTENT MANAGEMENT SYSTEMS
Author:	AMAL A. ALRASHEED, SAMIR D. EL-MASRI,
Abstract:	Content Management Systems (CMS) are popular ways for e-commerce to set up websites as they provide easy editing of website content. Popular generic CMSs are of a race to provide the best solution for e-commerce. At the same time, some customized CMSs for e-commerce are evolved. This paper compares and evaluates three open source CMSs solutions for e-commerce: VirtueMart from Joomla!, Ubercart from Drupal, and Magento. We compare these products according to many aspects: hosting and installation, performance, support/community, content management, add-on modules, and functional features. The aim of the paper is to find the best CMS solution for e-commerce which encompasses the best of both CMS and store management. Finally, we propose some improvements to these products.
Keywords:	Content Management System (CMS), E-commerce , Plug-in, Add-on module, Features
Source:	Journal of Theoretical and Applied Information Technology July 2013 -- Vol. 53. No. 2 -- 2013
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Title:	IMAGE COMPRESSION USING WAVELET TRANSFORM AND GRAPH CUT ALGORITHM
Author:	VASANTHI KUMARI P, K THANUSHKODI
Abstract:	The need for an efficient technique for compression of images is ever increasing because, the raw images need large amounts of disk space seems to be a big disadvantage during transmission and storage. Even though, there are so many compression techniques already present, a better technique which is faster, memory efficient and simple surely suits the requirements of the user. This paper presents image compression technique using graph cut and wavelet transform. At first, block partitioning process is carried out which is quantized and subsequently, graph cut algorithm is applied to select the dissimilar blocks. DPCM (Differential pulse-code modulation) is consequently applied for increasing the compressibility of an image. Finally, the transformed image is given to Huffman-encoder that is designed by merging the lowest probable symbols in such a way that, the images get compressed. The proposed image compression is implemented using MATLAB and the performance of the proposed technique is compared with the wavelet-based previous techniques and DCT method. From the results, it can be inferred that our proposed technique have outperformed the existing techniques.
Keywords:	Image compression, Discrete Wavelet Transform, Graph Cut algorithm, Differential Pulse-Code Modulation (DPCM), Huffman-coding.
Source:	Journal of Theoretical and Applied Information Technology July 2013 -- Vol. 53. No. 2 -- 2013
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Title:	PATTERN DISCOVERY AND ANALYSIS FROM SEMI-STRUCTURED DATA: THE AUTOMATIC REGENERATION OF PATTERNS
Author:	ASMÂA ELOUERKHAOUI, DRISS ABOUTAJDINE
Abstract:	Web-mining is the application of data mining techniques to extract knowledge from the world wide web, including web documents, hyper-links between documents, etc. Content-mining is the second step in Web data mining which mines web pages text to determine the relevance of the content to the search query. In 2008, we have proposed WIEBMat (Wrapper Induction Environment Based on Matrices) a new web content mining method[1]. This paper aims to optimize pattern discovery of WIEBMat. Effectively, the process of discovering frequent patterns from semi-structured data is one of the most important weaknesses in every web-mining technique
Keywords:	Web-Mining, Semi-Structured Data, Pattern Discovery.
Source:	Journal of Theoretical and Applied Information Technology July 2013 -- Vol. 53. No. 2 -- 2013
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Title:	OPTIMIZATION METHOD OF PILOT ALLOCATION FOR COOPERATIVE AMPLIFY-AND-FORWARD OFDM SYSTEM
Author:	SUOPING LI, LITING YANG, JIN LI
Abstract:	Pilot-assisted channel estimation has been studied only in common cooperative AF (Amplify-and-Forward) OFDM which has no feedback mechanism. In this paper, for cooperative AF-OFDM system, we propose a feedback technique in which the pilot allocation mechanism is adapted to the cooperative mobile channel. Then we show how uniform pilots may no longer be optimal compared with our pilots. After deducing the instantaneous system SNR is the function of the pilot allocation, we optimize the pilot locations using optimization method at the destination node. We examine the feedback overhead that is associated with our method and make comparisons with the conventional uniform pilot allocation. To improve system capacity, we suggest reduce the feedback information using K-means clustering algorithm. Simulation results confirmed that the proposed optimization method has an ideal performance gains and the algorithm of feedback reduction can reduce the feedback information under the premise of ideal performance.
Keywords:	AF-OFDM system, Feedback mechanism, Optimization of pilot allocation, Reduce feedback.
Source:	Journal of Theoretical and Applied Information Technology July 2013 -- Vol. 53. No. 2 -- 2013
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Title:	EXTENDING TEMPORALLY ER MODEL FOR DESIGNING TEMPORAL DATABASES WITH MULTIPLE TIME GRANULARITIES
Author:	CHUNLONG YAO, FENGLONG FAN, LAN SHEN, XU LI
Abstract:	Entity-Relation (ER) model may be used for different but related purposes, e.g. to model real world for analysis, to describe a database scheme of a computer system for design. In recent years, with the increasing needs of time-related application, how to extend the ER model to enable it to properly capture time-varying information has been active area of research. By extending temporally traditional ER models, we propose a new temporal ER model, which is called ETER model. For the ETER model, we introduce two new constructs including variety granularity and time cardinality. We discuss how to specify time-varying attributes and relationships using these constructs, and how to specify TFDs constraints. Therefore, the ETER model and temporal normalization theory can be integrated to design temporal databases with multiple time granularities.
Keywords:	ER Model, temporal database, database design, temporal functional dependency (TFD)
Source:	Journal of Theoretical and Applied Information Technology July 2013 -- Vol. 53. No. 2 -- 2013
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Title:	APD GAIN EFFECT ON SAC-OCDMA SYSTEM USING MODIFIED-AND DETECTION TECHNIQUE
Author:	HAMZA M. R. AL-KHAFAJI, S. A. ALJUNID, ANGELA AMPHAWAN, HILAL A. FADHIL, ANUAR M. SAFAR
Abstract:	This paper investigates the avalanche photodiode (APD) gain effect on spectral-amplitude coding optical code-division multiple-access (SAC-OCDMA) system using a modified-AND subtraction detection in comparison to the conventional AND detection scheme. Analytical results are presented to investigate the APD gain impact on the bit-error rate (BER) performance. In addition, we confirm the influence of the APD over the positive-intrinsic-negative (PIN) photodiode on the system performance using data transmission simulations.
Keywords:	SAC-OCDMA, modified-AND subtraction detection, phase-induced intensity noise (PIIN), APD, PIN photodiode
Source:	Journal of Theoretical and Applied Information Technology July 2013 -- Vol. 53. No. 2 -- 2013
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Title:	CLUSTER ANALYSIS APPLICATION ON PERMEABILITY’S DIRECTION IN NUMERICAL SIMULATION
Author:	YUAN Li, YAO Junbo, TAN Junxiang, MA Yujie, LI Guorong, YI Xiangyi, LU Yuan
Abstract:	They are permeability scalar data which doesn’t has direction in geologic modeling due to lack of data. However, we can get the value and volume coordinate data from the minimum nine-square cube in the gridding model. As a secure and accurate classification methodology in multivariate statistics analysis, the ward-method cluster analyzing can classify the permeability data by clustering slow-changed data in some directions. Then we decompose the permeability into x, y, z directions by three-dimensional space geometric operation. It has an significant impact on improve the numerical simulation accuracy after the processing transformation of permeability data, which provide the basis for the development of the oil field.
Keywords:	Permeability: Direction, Gridding Model, Cluster Analysis, Direction Decomposition
Source:	Journal of Theoretical and Applied Information Technology July 2013 -- Vol. 53. No. 2 -- 2013
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Title:	PERFORMANCE EVALUATION OF ROUTING PROTOCOLS IN LARGE-SCALE MOBILE AD HOC NETWORKS
Author:	JAMALI ABDELLAH, NAJA NAJIB, EL OUADGHIRI DRISS, BENAINI REDOUANE, ZYANE ABDELLAH
Abstract:	A mobile ad hoc network (MANET) is a collection of wireless mobile nodes communicating with each other using multi-hop wireless links without any existing network infrastructure or centralized administration. Efficient routing protocols can provide significant benefits to mobile ad hoc networks, in terms of both performance and reliability. Many routing protocols for such networks have been proposed so far. Amongst the most popular ones are Dynamic Source Routing (DSR), Ad hoc On-demand Distance Vector (AODV), Destination-Sequence Distance-Vector (DSDV), Temporally-Ordered Routing Algorithm (TORA, ) and Location-Aided Routing (LAR). Research efforts have not focused in evaluating the performance of these protocols when applied to large-scale wireless networks. In this paper we present our observations regarding the behavior of the above protocols, in large-scale mobile ad hoc networks (MANETs). We consider wireless mobile terminals spread over a large geographical area, and we perform extensive simulations, using NS-2 simulator.
Keywords:	Mobile Ad-hoc Network (MANET), Routing Protocols AODV (Ad-hoc on demand distance vector), DSDV (Destination Sequenced distance vector), DSR (Dynamic Source Routing)
Source:	Journal of Theoretical and Applied Information Technology July 2013 -- Vol. 53. No. 2 -- 2013
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Title:	MINING STUDENTS’ ACADEMIC PERFORMANCE
Author:	AZWA ABDUL AZIZ, NUR HAFIEZA ISMAIL, FADHILAH AHMAD
Abstract:	Data Mining techniques are widely used in educational field to find new hidden patterns from student’s data. The hidden patterns that are discovered can be used to understand the problem arise in the educational field. This paper surveys the three elements needed to make prediction on Students’ Academic Performances which are parameters, methods and tools. This paper also proposes a framework for predicting the performance of first year bachelor students in computer science course. Naïve Bayes Classifier is used to extract patterns using the Data Mining Weka tool. The framework can be used as a basis for the system implementation and prediction of Students’ Academic Performance in Higher Learning Institutions.
Keywords:	Data Mining, Educational Data Mining, Prediction, Students’ Academic Performance
Source:	Journal of Theoretical and Applied Information Technology July 2013 -- Vol. 53. No. 2 -- 2013
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Title:	THE ROLE OF BUILT ENVIRONMENT IN DEVELOPING SUSTAINABLE HIGH TECH PARKS: ESTABLISHMENT OF PHYSICAL DEVELOPMENT AND KNOWLEDGE COMMUNITY NEEDS
Author:	MOHD HISYAM RASIDI, OLORUNTOBA KAYODE
Abstract:	This paper emphasize the role of built environment in developing sustainable high tech park, the needs of knowledge community and the relationship between the physical development of high tech parks. In addition, it's describes the comparative physical development between Cyberjaya, Malaysia and Tsukuba Science City, Japan. Thus, this study is engender towards identify the significant role of high tech parks in terms of the build environment, physical planning and design strategy in knowledge community planning. The analysis of the case study through physical elements and community participation in Cyberjaya, Malaysia and Tsukuba Science City, Japan indicates how people perceive their living and working environment. This study demonstrates and posits that sustainable environment can be achieve through effective physical planning and design approach in high tech park development.
Keywords:	Built Environment, Knowledge Community, High Tech Parks, Sustainable Planning
Source:	Journal of Theoretical and Applied Information Technology July 2013 -- Vol. 53. No. 2 -- 2013
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