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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
December 2013 | Vol. 58 No.1

Title:	MODELING OF BROADBAND LIGHT SOURCE FOR OPTICAL NETWORK APPLICATIONS USING FIBER NON-LINEAR EFFECT
Author:	G GEETHA, I LAKSHMI PRIYA, M MEENAKSHI
Abstract:	Vision towards establishing an all fiber configuration is the motivation behind this work. With the increasing need for high capacity communication systems, Broadband sources have become a necessity. Broadband optical sources are an integral part of multichannel high speed fiber optical communication networks based on all-optical WDM and OCDM. FWM (Four-Wave Mixing) effects and SC (Super Continuum) phenomenon in fibers are used in the design of broadband optical sources. The spectral slicing of the broadband spectra has been proposed in literature as a simple technique to create multi-wavelength optical sources for wavelength division multiplexing applications. The objective of this work is to develop an accurate model for simulating FWM and SC based broadband optical spectra and compare their performances. The modeling work is carried out using SIMULINK in MATLAB 7.10.0(R2010a).
Keywords:	Four Wave Mixing, Super Continuum, Non Linearity, SMF, DSF, PCF
Source:	Journal of Theoretical and Applied Information Technology December 2013 -- Vol. 58. No. 1 -- 2013
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Title:	OPTIMIZED RESOURCE BLOCK ALLOCATION AND SCHEDULING FOR REAL-TIME SERVICES IN LTE NETWORKS
Author:	KANAGASUNDARAM.K, G.M. KADHAR NAWAZ
Abstract:	In recent times, there has been a huge increase in the demand for real-time multimedia applications from mobile users. In this paper, we propose an Optimized Resource Block Allocation and Scheduling technique for real-time Services in LTE networks. This technique considers both the resource block allocation and the scheduling process. The resource block allocation considers the instantaneous data rate and the average data rate. It will allocate the resources that are required to perform the real-time connection. If the resources are busy then, the user connection is scheduled using the lower level of the scheduler. The scheduler has a timer based on which the user connections are updated. In the scheduling period, the available resources are assigned to the user. The advantage of this approach is that it is possible to assign the reserved blocks to real-time users so that average throughput is improved. By simulation results, we show that the proposed technique improves received bandwidth and fairness while reducing the delay and packet drops.
Keywords:	Long Term Evolution (LTE) Networks, Quality of service (Qos), Call Admission Control (CAC), Resource Block (RB) Allocation
Source:	Journal of Theoretical and Applied Information Technology December 2013 -- Vol. 58. No. 1 -- 2013
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Title:	A NEURAL NETWORK-BASED SVPWM CONTROLLER FOR A TWO-LEVEL VOLTAGE-FED INVERTER INDUCTION MOTOR DRIVE
Author:	AHMED A. HASSAN, SAMIR DEGHEDIE, MOHAMED EL HABROUK
Abstract:	In this paper, a detailed description of a neural network-based implementation of the SVPWM algorithm for two-level voltage source inverters is proposed using a modular approach which facilitates the expansion of the scheme to higher levels SVM, each step in the SVPWM algorithm is achieved using a simple feed-forward artificial neural network that consists of one or more layers. Simulation results are provided by employing the proposed scheme inside a closed loop V/Hz drive system.
Keywords:	Space Vector Modulation (SVM), Artificial Neural Networks (ANNs), Two-Level Inverter
Source:	Journal of Theoretical and Applied Information Technology December 2013 -- Vol. 58. No. 1 -- 2013
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Title:	DESIGN AND MODELING OF MB-OFDM UWB WITH DIGITAL DOWN CONVERTER AND DIGITAL UP CONVERTER FOR POWER LINE COMMUNICATION IN THE FREQUENCY BAND OF 50 MHZ TO 578 MHZ
Author:	R.KALAIVANI, Dr.N.J.R.MUNIRAJ
Abstract:	Over the last few years Power Line Communication has gained importance for high speed data communication. One of the major concerns in PLC is noise and high data rate, several schemes have been adopted to minimize noise over PLCs and improve data rate. One of the promising approach is the use of Multi Band (MB) – Orthogonal Frequency Division Multiplexing (OFDM) Ultra Wide Band (UWB) to achieve date rates over 200 Mbps. One of the approaches is to integrate MBOFDM UWB with Digital Down Converter (DDC) for power line communication. In this work, MBOFDM UWB system is integrated with DDC on the transmitter and DUC is integrated at the receiver to achieve higher data rate. The integrated system modeled using Matlab and Simulink achieves BER of10 -3 and THD of 1.2. Rate 2/3 Convolutional encoder, scrambler, bit interleave, GMSK modulator and IFFT have been used generate MBOFDM, time-frequency kernel with frequency translation achieves UWB. DDC consisting of CIC and CFIR are used to downlink the UWB signal as compatible with PLC.
Keywords:	MBOFDM, UWB, PLC, Integrated System, Down Converter, High Data Rate
Source:	Journal of Theoretical and Applied Information Technology December 2013 -- Vol. 58. No. 1 -- 2013
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Title:	RSBR: A PARADIGM FOR PROFICIENT INFORMATION RETRIEVAL USING QSPA AND RELEVANCE SCORE BASED RANKING
Author:	SRIDHARAN. K, M. CHITRA
Abstract:	Due to the speedy growth of content volume over the internet, the required content that is relevant to the user’s query is retrieved with difficulty by the common search engines. To overcome this limitation, semantic web search approaches are utilized. Many researches in semantic web depend on data search centered meaning. The general purpose of these researches is to enhance the current data search and retrieval techniques. An effective Relevancy-based Semantic Search Engine (RSSE) prototype that allows the users to determine relevant resources and services by semantics is proposed. The proposed approach uses Query Similarity Prediction Algorithm (QSPA) for efficient information retrieval with minimum processing time. The technique serves multiple remote users. The relevancy based ranking of documents depending on the occurrence of semantic terms is performed in QSPA. The experimental results show that the approach is efficient when analyzed with parameters like precision, recall, F-measure, and the time needed to obtain query results.
Keywords:	Information Retrieval (IR), Service Level Agreement (SLA), Semantic web, Query Similarity Prediction Algorithm (QSPA), Ranking, Cache server.
Source:	Journal of Theoretical and Applied Information Technology December 2013 -- Vol. 58. No. 1 -- 2013
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Title:	ENHANCED ROAD SECURITY USING EDGE DETECTION AND INFRARED IMAGERY
Author:	MITHILA HARISH, ABHISHEK GUDIPALLI, RAMASHRI TIRUMALA
Abstract:	Edges are prominent features in images and their detection plays main role in computer vision and image processing. Identifying and Detecting the edges are a low level task in a variety of applications such as shape recognition, image compression, enhancement and restoration. The technique laid out aims to develop enhanced techniques for road safety. Road safety is a major issue and many lives are lost due to inadequate safety measures, including poor lighting conditions, road conditions,etc. The methods laid out aim to provide enhanced safety that can be further used in enhancing road safety with the potential to avoid accidents. These are performed using various criteria involving concepts of edge detection, infrared imaging and real time imaging. In addition to this, it also analyses other safety techniques and algorithms that have been previously developed in this line of research. One of the methods laid out caters to the problems colour blind people have, specifically in distinguishing between the green light in traffic signals and street lights.
Keywords:	Infrared, Edge Detection, Log, Power Law Transform, Real Time Imaging
Source:	Journal of Theoretical and Applied Information Technology December 2013 -- Vol. 58. No. 1 -- 2013
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Title:	AN APPROACH FOR ASPECT-ORIENTED SKELETON CODE GENERATION FROM REUSABLE ASPECT MODELS
Author:	ABID MEHMOOD, DAYANG N.A. JAWAWI
Abstract:	Model-driven code generation has been a topic of interest for researchers owing to its several benefits including the anticipated reduction in development effort and delivery time. It has taken a good deal of time to produce techniques that generate executable code in object-oriented programming languages. Aspect-oriented software development techniques, though expected to enhance software development in many ways, still lack approaches that can deliver model-driven code into one of the aspect-oriented programming languages such as AspectJ. In this paper, we present an approach for generation of aspect-oriented code from Reusable Aspect Models. As first step towards the code generation, we have developed a formal and semantically equivalent text-based representation of the aspect models using XML schema notation. Further, we have proposed an approach that takes the XML representation of the aspect models to generate aspect-oriented skeleton code. Currently, our approach can be used to obtain complete aspect structure, interfaces, classes, constructors, fields and stubs of methods specified in the structural part of an aspect.
Keywords:	Aspect-Oriented Modeling; Model-Driven Engineering; Aspect-Oriented Code Generation; Reusable Aspect Models
Source:	Journal of Theoretical and Applied Information Technology December 2013 -- Vol. 58. No. 1 -- 2013
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Title:	OPINION MINING USING DECISION TREE BASED FEATURE SELECTION THROUGH MANHATTAN HIERARCHICAL CLUSTER MEASURE
Author:	JEEVANANDAM JOTHEESWARAN, DR. Y. S. KUMARASWAMY
Abstract:	Opinion mining plays a major role in text mining applications in consumer attitude detection, brand and product positioning, customer relationship management, and market research. These applications led to a new generation of companies and products meant for online market perception, reputation management and online content monitoring. Subjectivity and sentiment analysis focus on private states automatic identification like beliefs, opinions, sentiments, evaluations, emotions and natural language speculations. Subjectivity classification labels data as either subjective or objective, whereas sentiment classification adds additional granularity through further classification of subjective data as positive/negative or neutral. Features are extracted from the data for classifying the sentiment. Feature selection has gained importance due to its contribution to save classification cost with regard to time and computation load. In this paper, the main focus is on feature selection for Opinion mining using decision tree based feature selection. The proposed method is evaluated using IMDb data set, and is compared with Principal Component Analysis (PCA). The experimental results show that the proposed feature selection method is promising.
Keywords:	Opinion Mining, Imdb, Inverse Document Frequency (IDF), Principal Component Analysis (PCA), Leaningr Vector Quantization(LVQ).
Source:	Journal of Theoretical and Applied Information Technology December 2013 -- Vol. 58. No. 1 -- 2013
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Title:	A NOVEL DYNAMIC RELIABILITY OPTIMIZED RESOURCE SCHEDULING ALGORITHM WITH FAULT TOLERANT APPROACH FOR GRID COMPUTING SYSTEM
Author:	U. SYED ABUDHAGIR, Dr.S.SHANMUGAVEL
Abstract:	In this paper, we design global optimization model and fault tolerance service for grid computing system. It is provided as a promising model for grid resource scheduling algorithm. It aims at solving the problem of optimally allocating services on the grid to optimize the grid service reliability, deadline and cost. In this paper, the problem of optimizing the reliability of grid systems has been modeled as a multi-objective optimization problem where apart from the grid system reliability; the system cost and redundancy are also considered as objectives. For the reliability analysis of the grid system, we consider failure rate of computational resources and network resources. Based on the service reliability of the grid system, Our IGA-RORS algorithm selects the set of optimal resources among the candidate resources based on reliability, application execution time and cost that achieves optimal performance using an immune genetic algorithm. In our algorithm, we design and implement a fault tolerance service; it guarantees the completion of the applications in the optimally selected resources. We have demonstrated the test results in java based GridSim tool.
Keywords:	Grid Computing System, Resource Management System, Reliability, Redundancy, IGA, Fault Tolerant service.
Source:	Journal of Theoretical and Applied Information Technology December 2013 -- Vol. 58. No. 1 -- 2013
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Title:	LTE SYSTEM TEST-BED AND EXPERIMENTAL RESULTS
Author:	MOHAMMED JALOUN, KAOUTAR BOUKHRISSI, ZOUHAIR GUENNOUN
Abstract:	This paper presents the result of an LTE trial test case that has been performed for morocco Telecom operator which intends to rollout the LTE starting from 2014, the aim is to verify the functionality and performance of LTE equipment in realistic deployment scenarios, with a combination of stationary tests and drive tests, and it focuses on Single User Throughput, Sector Throughput, Latency, and MIMO performance verification.
Keywords:	LTE, Test Bed, Experimental Result, Throughput, Latency, MIMO
Source:	Journal of Theoretical and Applied Information Technology December 2013 -- Vol. 58. No. 1 -- 2013
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Title:	ANALYSIS OF LARGE-SCALE CROWD EVACUATION MODELLING
Author:	MARTIN LOPUŠNIAK
Abstract:	Evacuation models are used for building designs, but also for analyses of uncommon events, which happened. Results of these analyses show us a big amount of data, which provide us a view to evacuation process. Despite the knowledge that the evacuation is a complex problem, which depends on many factors, there is a question whether there are general evaluation parameters for seemingly different evacuations, which could be applicable for all cases. The paper describes the analysis of 58 different evacuation scenarios performed by the buildingEXODUS evacuation model. The focus is oriented for finding relationships between chosen evaluation parameters. The results showed that there are also mutual evaluation parameters, by which evacuations in any building can be described. The results showed there are differences between evacuations, and so it is needed to differentiate a vertical evacuation and horizontal evacuation.
Keywords:	Evacuation, Modeling, Building, Analysis, Scenario
Source:	Journal of Theoretical and Applied Information Technology December 2013 -- Vol. 58. No. 1 -- 2013
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Title:	AN EFFICIENT METHOD FOR RETRIEVING CLOSED FREQUENT ITEM SETS USING HATCI ALGORITHM
Author:	MALA. A, Dr F.RAMESH DHANASEELAN
Abstract:	A Data Stream is a real-time ordered sequence of transactions, which grows continuously and in non-constant rapid rate. The size of data stream is un-bounded. The item sets that appear in a data set with a frequency equal to or above a specified threshold are called frequent item sets. It is difficult to mine all frequent item sets, but easy to mine the closed frequent item sets. The number of Frequent Item sets (FI) grows exponentially when the support threshold is reduced. In such cases, identifying only the Closed Frequent Item sets (CFI) is a better choice as the number of CFIs is very less compared to that of FIs and at the same time the complete information about the FIs can be extracted from the CFIs. In this paper, a new algorithm named as HATCI Algorithm, is used for generating the table for Closed Item sets(CI). Along with this table, a table of supersets and subsets of the CIs and a separate transaction table to store the CIs generated by each transaction, are also maintained. For generating and maintaining these tables, a sliding window model is used, that performs only one scan over the data stream. The size of the transaction table is equal to the size of the sliding window. Whenever the user requests for the CFIs, the CI table is accessed sequentially, and then all the CIs are checked out. The CIs with support count greater than or equal to the support threshold are extracted and returned as CFIs. The proposed methodology is implemented using JAVA platform. The experimental results show that the proposed methodology can effectively retrieve the CFIs on the user’s request.
Keywords:	Data Streams, Closed Frequent Item sets, Sliding window, HATCI Algorithm, AddNewTransaction Algortihm, RemoveOldestTransaction Algorithm.
Source:	Journal of Theoretical and Applied Information Technology December 2013 -- Vol. 58. No. 1 -- 2013
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Title:	STATISTICAL LINE BASED PALMPRINT RECOGNITION USING ELLIPTICAL GABOR FILTERS
Author:	S.ASHA, C.CHELLAPPAN
Abstract:	Most of the previous research using palmprint as a biometric trait for personal authentication has concentrated on enhancing accuracy. In this paper, to speed up the recognition process, we propose a novel method using the statistical line based approach to improve the efficiency of the Palm Code. Normally, palm codes from different palm images are similar. The structural similarities between palmprints will reduce the performance of the palmprint identification system. Hence, to avoid the correlation between the palm codes, two elliptical Gabor filters with different orientations are used to extract the phase information, and two elliptical Gabor filters are used for the Fusion Code and the Orientation Code. After the Fusion Code and the Orientation Code have been obtained, they are fused to obtain a single feature vector, Palmprint Phase Orientation Code. The similarity between two palm images is measured, using the normalized hamming distance. Using the Hong Kong PolyU palmprint database our experimental results show that the proposed method gives a promising result.
Keywords:	Authentication, Palmprint Recognition, Gabor Filter, Palmcodes.
Source:	Journal of Theoretical and Applied Information Technology December 2013 -- Vol. 58. No. 1 -- 2013
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Title:	DIGITAL IMAGE PROCESSING USING SOBEL EDGE DETECTION ALGORITHM IN FPGA
Author:	DHANABAL R,BHARATHI V , S.KARTIKA
Abstract:	Image processing is important in modern data storage and data transmission especially in progressive transmission of images, video coding (teleconferencing), digital libraries, and image database, remote sensing. It has to do with manipulation of images done by algorithm to produce desired images. Digital Signal Processing (DSP) improve the quality of images taken under extremely unfavourable conditions in several ways brightness and contrast adjustment, edge detection, noise reduction, focus adjustment, motion blur reduction etc. The advantage is that image processing allows much wider range of algorithms to be applied to the input data in order to avoid problems such as the build-up of noise and signal distortion during processing. Digital image processing has applications reaching out into our everyday life such as medicine, surveillance, automated industry inspection and many more. Implementing such applications on an application specific hardware offers much greater speed than on a general purpose computer where it can be done easier. In this project, implementation a co-processor for image processing is done. The co-processor is modeled for edge detection of images. The Edge detection algorithm will be implemented on an FPGA, where the inherent parallelism offers a better performance. The architecture is like ARM processor which acts as the master is having the images which has to be processed. ARM will transfer the image to the FPGA for processing and after the image is being processed, the FPGA will display the processed image through a VGA display. The image send by ARM will be stored in an instantiated memory in FPGA. Edge detection core implemented in FPGA then reads the image from memory, process it and stores the processed image back in the memory. VGA controller designed reads the processed image from the memory and displays it. Sobel Edge detection algorithm is used for edge detection of images which is efficient in getting smooth edges and also less sensitive to noise.
Keywords:	Image processing, Digital Signal Processing(DSP), Co-processor, Field Programmable Gate Array(FPGA), ARM processor, VGA controller, Sobel Edge detection algorithm
Source:	Journal of Theoretical and Applied Information Technology December 2013 -- Vol. 58. No. 1 -- 2013
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Title:	ENERGY-EFFICIENT CLUSTERING BASED ON HYBRID EVOLUTIONARY ALGORITHM IN WIRELESS SENSOR NETWORK
Author:	KHALIL BENNANI, DRISS ELGHANAMI, ABDELILAH MAACH
Abstract:	Energy-aware algorithms are important factors for extending the lifetime of the wireless sensor network. In energy concerned fields, network clustering has proved to be an efficient technique that renders structures of low consumption. Yet, clustering protocols face a major issue that is of grouping sensor nodes in an optimal way. This is an NP-Hard problem which necessitates evolutionary algorithms in order to solve. In this paper, we explore a new hybrid optimization algorithm to decrease the energy consumption, in which modified particle swarm optimization and simulated annealing are combined to find the optimal clusters based on transmission distance. Simulated annealing is used as a local search around the best solutions of the modified particle swarm optimization. The simulation results show that our proposed protocol can improve the lifetime of systems compared with existing clustering protocols.
Keywords:	Wireless Sensor Network, Clustering, Evolutionary Optimization Algorithm, particle swarm optimization, Energy Efficiency.
Source:	Journal of Theoretical and Applied Information Technology December 2013 -- Vol. 58. No. 1 -- 2013
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Title:	A CONVICTIVE FRAMEWORK FOR QUALITY BASE CONSTRUCTION AND EVALUATION OF E-LEARNING WEBSITE
Author:	R. SILAMBANNAN, DR. M. V. SRINATH
Abstract:	Websites are playing a strategic role in different domains such as education, government, business, etc. They support the communication and interaction among organization and users. However, the usability of the website by the users depends highly on the quality and design of the site. In order to construct a website that fulfills the quality requirement of users, authors of this article has evolved an efficient framework for constructing an e-learning website. The framework learns the quality parameters that are required by the end users from various quality models and through survey taken by different websites. Based on the knowledge acquired through learning, an e-learning website is constructed that satisfies the user’s quality desires. In addition to building a website, the framework also collects feedback from end user. Feedbacks are analyzed to find the efficiency and quality of the website. To find the effectiveness of the constructed website, authors evaluated the website using quality parameter. Experimental result presented in this article shows the quality of the constructed e-learning website and their usability.
Keywords:	Framework, E-learning website, feedback, quality parameters, quality evaluation
Source:	Journal of Theoretical and Applied Information Technology December 2013 -- Vol. 58. No. 1 -- 2013
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Title:	SENTIMENT ANALYSIS OF NATIONAL EXAM PUBLIC POLICY WITH NAIVE BAYES CLASSIFIER METHOD (NBC)
Author:	FRITS GERIT JOHN RUPILELE, DANNY MANONGGA, WIRANTO HERRY UTOMO
Abstract:	The national exam (UN) is a government policy to evaluate the education level on a national scale to measure the competence of students who graduate with those of other schools at the same educational level. The policy in conducting the UN is always a topic of discussion and phenomenon that is covered in various media, because it causes various problems that become pro and contra in society. An analysis sentiment or opinion mining in this research is applied to analyze public sentiment and group polarities of opinions or texts in a document, whether it shows positive or negative sentiment, in conducting the UN. The analytical process and data processing for document classification uses two classification methods: the quintuple method and one of the methods for learning machines, the Naive Bayes Classifier (NBC) method. The data used to classify documents is in the form of news text documents about conducting the UN, which is taken from online news media (detik.com). The data gathered comes from 420 news documents about conducting the UN from 2012 and 2013. Based on the analytical results and document classifications, it has been found that public sentiment towards carrying out the UN in 2012 and 2013 shows negative sentiment. The results of the data processing and document classification of conducting the UN overall show a positive opinion of 32% and a negative opinion of 68%. The results of the document classification are based on the polarization of public opinion about carrying out the UN, which reveal in the opinion category of carrying out the UN in 2012 that there was a positive opinion of 44% and a negative opinion of 56%. Meanwhile, for conducting the UN in 2013, there is a positive opinion of 20% and a negative opinion of 80%. These results reveal an increase in negative public sentiment in conducting the UN in 2013.
Keywords:	Sentiment Analysis, Opining Mining, National Exam, Quintuple, Naive Bayes Classifier
Source:	Journal of Theoretical and Applied Information Technology December 2013 -- Vol. 58. No. 1 -- 2013
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Title:	USER DATA RATE BASED VERTICAL HANDOFF IN 4G WIRELESS NETWORKS
Author:	A.FERDINAND CHRISTOPHER, DR.M.K.JEYAKUMAR
Abstract:	Wireless Heterogeneous Networks are integrated within fourth generation recently. The 4G wireless communication system should assure a few of QoS related facilities such as offering high data rates, seamless mobility, strong RSS. When accomplishment and requisite of a user is acknowledged the system gets succeed in handoff and seamless connectivity. In such a user requisite data rate plays an imperative role in wireless networks. This paper proposes a novel method for vertical handoff in 4G wireless heterogeneous networks based on data transfer rate. In this paper distance based RSS is used as another parameter to initialize the handoff and an efficient data recovery technique is proposed. Log based recovery technique saves the logs in both mobile node and base stations for fast and lossless data recovery. Moreover, feasibility of this method is compared with existing method in terms of bandwidth and recovery time.
Keywords:	Vertical Handoff, 4g Wireless Network, Data Rate Based, Data Recovery, Data Loss
Source:	Journal of Theoretical and Applied Information Technology December 2013 -- Vol. 58. No. 1 -- 2013
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Title:	CORE BASED COMMUNICATION WITH QoS SUPPORT
Author:	ASHOK KUMAR BHOI, SATYA PRAKASH SAHOO, MANAS RANJAN KABAT
Abstract:	The present day is demanding more and more quality of service in broadband group communication to support huge access of internet service and multimedia application. The core based solution is able to full fill this demand a lot. In this paper effort has been put to make it more flexible in comparison to SPAN/COST through a new approach which can be an alternative solution of SPAN/ADJUST for solving the constrained of non singular core solution.
Keywords:	Multicasting, QoS Routing, Core selection
Source:	Journal of Theoretical and Applied Information Technology December 2013 -- Vol. 58. No. 1 -- 2013
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Title:	A FRAMEWORK OF AN EXPERT SYSTEM FOR CROP PEST AND DISEASE MANAGEMENT
Author:	KAMARUDIN SHAFINAH, NORAIDAH SAHARI, RIZA SULAIMAN, MOHD SOYAPI MOHD YUSOFF, MOHAMMAD MOHD IKRAM
Abstract:	Crop pest and disease diagnosis are amongst important issues arising in the agriculture sector since it has significant impacts on the production of agriculture for a nation. The applying of expert system technology for crop pest and disease diagnosis has the potential to quicken and improve advisory matters. However, the development of an expert system in relation to diagnosing pest and disease problems of a certain crop as well as other identical research works remains limited. Therefore, this study investigated the use of expert systems in managing crop pest and disease of selected published works. This article aims to identify and explain the trends of methodologies used by those works. As a result, a conceptual framework for managing crop pest and disease was proposed on basis of the selected previous works. This article is hoped to relatively benefit the growth of research works pertaining to the development of an expert system especially for managing crop pest and disease in the agriculture domain.
Keywords:	Agriculture, Document Analysis, Expert Systems, Framework, Pest And Disease Diagnosis
Source:	Journal of Theoretical and Applied Information Technology December 2013 -- Vol. 58. No. 1 -- 2013
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Title:	FROM CITESEER TO CITESEERX: AUTHOR RANKINGS BASED ON COAUTHORSHIP NETWORKS
Author:	DALIBOR FIALA
Abstract:	CiteSeer was a digital library and a search engine gathering its mainly computer science research papers from the World Wide Web. After a few years of stagnation, it was definitely replaced with a new version called CiteSeerX in April 2010. As both CiteSeers provide(d) freely available metadata on the articles they index(ed), it is possible to analyze two different data sets to see the differences between CiteSeer and CiteSeerX. More specifically, we examined the article metadata from CiteSeer (downloaded in December 2005) and from CiteSeerX (harvested in March 2011) with a view of creating rankings of prestigious computer scientists. Since the free article metadata acquired from the Web site of CiteSeerX differ from those in CiteSeer in that they do not systematically include cited references, the only possibility of creating such rankings is to base them on the coauthorship networks in both CiteSeers. In this study, we produce these rankings using 12 different ranking methods including PageRank and its variants, compare them with the lists of ACM A. M. Turing Award and ACM SIGMOD E. F. Codd Innovations Award winners and conclude that the rankings generated from CiteSeerX data outperform those from CiteSeer.
Keywords:	CiteSeer, CiteSeerX, Coauthorships, Citations, Researchers, PageRank
Source:	Journal of Theoretical and Applied Information Technology December 2013 -- Vol. 58. No. 1 -- 2013
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Title:	DESIGN CONSIDERATIONS FOR CLUSTERING LOCALIZATION TECHNIQUE IN AN INDOOR WIRELESS NETWORK
Author:	SITI ZAKIAH HASAN, ROSDIADEE NORDIN
Abstract:	Indoor positioning technique, also known as localization is an application that can benefit from the Wireless Local Area Network (WLAN) infrastructure and WLAN enabled devices. This paper discusses implementation of an indoor wireless localization network by using the existing WLAN infrastructure based on a novel clustering technique. Design criteria and parameters involved to form a cluster group has been defined and presented. The preliminary results from this study indicates the proposed clustering technique able to perform indoor localization, whereby total of 17 cluster groups have been generated from the 82 anchor points in an indoor area. Several proposal enhancements also presented in order to enhance the accuracy and improve the selection criteria of the clustering method.
Keywords:	Cluster, Indoor Localization, Positioning Technique, RSS, WiFi, WLAN
Source:	Journal of Theoretical and Applied Information Technology December 2013 -- Vol. 58. No. 1 -- 2013
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Title:	DEVELOPING E-ICT COURSES SPECIFICALLY FOR HEARING-IMPAIRED LEARNERS
Author:	NORAZAH NORDIN, ROZNIZA ZAHARUDIN, MOHD HANAFI MOHD YASIN, HADI SALEHI, MELOR MD YUNUS, MOHAMED AMIN EMBI
Abstract:	The emergence of Internet and computer science in general has established to have great roles in human’s life through the World Wide Web. E-learning education is dependent on the web as an important advance in technology; therefore, it is crucial for the humans to access web applications. This applies to the learners with hearing problems as well. This study aims to investigate the deaf learners’ level of interest and satisfaction towards a developed e-learning platform named e-HearMe (http://www.e-hearme.net), which offers e-ICT courses specially designed for deaf learners. To achieve the aim of the study, an interview protocol was used as a research instrument to interview teachers who were teaching in schools offering Hearing-Impaired Education Program. In total, 30 teachers were randomly selected from three schools which were executing the Hearing-Impaired Education Program in the whole Malaysia. The results of the interviews showed that the teachers were really satisfied with the existence of e-HearMe platform as a medium which offers e-ICT courses specifically developed for the deaf learners. The interviewed teachers also stated that they could share and exchange their knowledge with other teachers and students from all over Malaysia, regardless from educational or social purposes.
Keywords:	e-HearMe, ICT, E-Learning, e-ICT Courses, Deaf Learners, Hearing-Impaired Education Program Malaysia
Source:	Journal of Theoretical and Applied Information Technology December 2013 -- Vol. 58. No. 1 -- 2013
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Title:	MULTIPLE MOBILE ANCHORS BASED LOCALIZATION USING PARTICLE SWARM OPTIMIZATION (PSO) FOR WIRELESS SENSOR NETWORKS
Author:	S.KAVITHA, Dr.J.KANAKARAJ
Abstract:	In Wireless Sensor Network (WSN), though several works have been done on localization using mobile anchors, they cause huge delay in localization of the network since the mobile anchor has to cover the entire network. It will be difficult to provide maximum coverage to the entire network, without considering the visiting schedule of the mobile anchor node. In this paper, multiple mobile anchor based localization technique using Particle Swarm optimization (PSO) is proposed. PSO is used to determine the trajectory of the mobile anchor nodes which is based upon the node density and the distance between the nodes in the network. The mobile anchor nodes broadcast packets to the visited sensor nodes depending on the PSO visiting schedule. The non-localized nodes on receiving the packets, calculate the estimated distance between each of the mobile anchors and using trilateration method, they are localized. From the simulation results, it is proved that localization delay and energy consumption are reduced with increased packet delivery ratio, when compared to the existing approach.
Keywords:	Wireless Sensor Network (WSN), Particle Swarm Optimization (PSO), Mobile Anchors, Localization
Source:	Journal of Theoretical and Applied Information Technology December 2013 -- Vol. 58. No. 1 -- 2013
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Title:	AN ALGORITHM FOR FAIRNESS BETWEEN SECONDARY USERS IN COGNITIVE RADIO NETWORK
Author:	ABDELLAH IDRISSI, SAID LAKHAL
Abstract:	Scheduling Secondary Users (SUs), to exploit the free channels in Cognitive Radio Network, represents one of the major challenges. In this work we propose an algorithm to ensure fairness of service between the secondary users. This fairness is expressed in terms of transfer rates. The algorithm produces a chain containing the order wherein the packets of each SU will be sent. The experimental results provide transfer rates too close to their average. This proves the efficiency of scheduler proposed.
Keywords:	Cognitive Radio, Scheduling, Fairness, Standard Deviation
Source:	Journal of Theoretical and Applied Information Technology December 2013 -- Vol. 58. No. 1 -- 2013
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