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

Welcome to Journal of Theoretical and Applied Information Technology

Submit Paper / Call for Papers

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

Journal of Theoretical and Applied Information Technology
July 2014 | Vol. 65 No.1

Title:	EFFECT OF FATIGUE ON SSVEP DURING VIRTUAL WHEELCHAIR NAVIGATION
Author:	HACHEM A. LAMT , MOHAMED MONCEF BEN KHELIFA, ADEL M. ALIMI , PHILIPPE GORCE
Abstract:	The goal of this study is to investigate the influence of fatigue on Steady State Visual Evoked Potential (SSVEP) during virtual wheelchair navigation. For this purpose, an experimental environment was set based on modifiable parameters (luminosity, number of obstacles and obstacles velocities). A correlation study between SSVEP and fatigue ratings was conducted by the mean of spectral analysis. Finally, the best correlated parameters are presented for a classification using three algorithms which are MLP (Multi Layer Perceptron), LDA (Linear Discriminate Analysis) and SVM (Support Vector Machine). Those findings can help us in order to design suitable gaze/brain based wheelchair navigation.
Keywords:	SSVEP, Mental Fatigue, Virtual Navigation, Wheelchair
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text

Title:	MODIFIED UNIVERSAL SHIFT REGISTER BASED LOW POWER MULTIPLIER ARCHITECTURE
Author:	S. P.VALAN ARASU, Dr.S. BAULKANI
Abstract:	In this article, a low power 8x8 shift-add multiplier architecture called Universal Shift Register (USR)-Multiplier is proposed. The proposed shift-add multiplier architecture concentrates on minimizing the switching activities of partial products in conventional shift-add multiplier. The switching activities are minimized by bypassing the multiplication operations of Zero’s (‘0’) in Multiplier (A) with Multiplicand (B). This technique of bypassing reduces power consumed by the multiplier architecture. The proposed low power 8x8 multiplier adopts a Universal Shift Register (USR) with clock control unit such that the bypassing of zero’s in ‘B’ is realized. Our proposed multiplier is designed and simulated using Xilinx ISE tools and compared with the power consumption of the conventional Shift-and Add multiplier, BZ-FAD shift-and add multiplier and ET shift-and add multiplier for the 8-bit multiplication results. Also, our multiplier is designed and simulated using Xilinx ISE tools and compared with the power consumption of the existing Booth multiplier, Wallace multiplier, Vedic Multiplier, BZ-FAD Shift-and add multiplier for the 16-bit multiplication results. Advantages- Results show a reduction in switching activity and a reduction of more than 41% of the total power consumption comparing with conventional Shift-and Add multiplier.
Keywords:	Universal Shift Register, Shift-Add Multiplier, Switching activity, Partial product, BZFAD (Bypass Zero Feed A Directly).
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text

Title:	A NOVEL SYNTAX CLASS BASED ADAPTIVE ENCODING TECHNIQUE FOR CONTRAST STRETCHED MULTISPECTRAL IMAGES
Author:	DEEPA.S, V.SADASIVAM
Abstract:	Multispectral images are images with high spatial and spectral resolution. Efficient multispectral image compression plays a key role in most of the geographical applications. The three important phases involved in the proposed adaptive technique are contrast stretching, clustering and encoding based on the resultant clusters. The contrast stretching results in a very clear image and the image is then clustered into smooth and textured regions based on K means algorithm. The spatial orientation tree (STW) wavelet algorithm and the wavelet difference reduction (WDR) algorithm are applied to the smooth and textured regions respectively. The results are compared using the Compression ratio, Peak Signal to Noise Ratio (PSNR) and Structural Similarity (SSIM) Index metrics. It reflects the quality of the proposed work as betterment than the existing state of art techniques with very high compression ratio and minimum image distortion.
Keywords:	STW, WDR, Contrast Stretching, K-Means, PSNR, SSIM
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text

Title:	IMPACT OF RADIO PROPAGATION MODEL AND MOBILITY IN ON-DEMAND ROUTING PROTOCOL OF MANET
Author:	SUKANT KISHORO BISOY, PRASANT KUMAR PATTNAIK
Abstract:	Accuracy of routing protocol performance in mobile ad hoc network (MANET) depends on many parameters. Besides many parameters propagation model and node velocity are the two among them. Node mobility is responsible for network topology and propagation model for calculating signal strength at receiver. In wireless network MANET suffers a huge loss in performance due to obstacle between transmission and variation in signal strength at receiver. Many routing protocols are proposed based on which neglect the effect of fading and path loss. So it is important to find the effect of fading and node velocity for accurate estimation and analysis of performance of routing protocols in MANET. We investigate the effect of propagation model (both non-fading and fading) and mobility on the performance of the ad hoc routing protocol such as Ad hoc On Demand Distance Vector (AODV), Dynamic Manet On Demand (DYMO) and Dynamic Source Routing (DSR) and present the results gathered from simulation using NS2. The result shows that propagation model and mobility has strong impact on the performance of MANET routing protocol.
Keywords:	MANET; AODV; DYMO; DSR; Propagation Model; Mobility Model.
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text

Title:	DOMINATING SET BASED GEOCAST WITH TEMPORAL STABILITY FOR WIRELESS MOBILE ADHOC AND SENSOR NETWORKS
Author:	SELVI RAVINDRAN, NARAYANASAMY PALANISAMY, VETRISELVI VETRIAN
Abstract:	Geocast is a variant of a location based multicast where a packet is delivered from a source to all nodes specific to a geographic area interested by the source. The objective here is to 1.Efficiently utilize the energy; this can reduce the void formation. 2. Reduce the transmission cost and the delay for delivering the packet. The existing geocast protocols are either multicast or flooding based whose transmission cost and overhead of maintenance are quite high. The proposed concept of Dominating Set based Geocast for Mobile adhoc and sensor network (DSGM) protocol, chooses a dominating set (DS), based on the stability factor by predicting its location and connectivity of link existing between two neighboring node. The DS formed in distributed way guarantees the delivery of the message and even keeps the transmission cost to the minimal. We use a simple location prediction concept, which improves the packet delivery ratio and makes geocasting efficient for mobile nodes. The existing geocast protocol assumes the node to be static while performing geocast, thus restricting the mobility of a node. This paper describes a technique of how a simple prediction can bring significant improvement in the reliability of geocast protocol. Simulation results show that the DSGM improves the message delivery in a mobile environment than the existing protocol with minimal transmission cost.
Keywords:	Geocast, Sensor networks, Dominating set, Location prediction.
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text

Title:	DEEP ENCODING WITH CLUSTERING TECHNIQUE FOR PROGRAMMABLE MBIST
Author:	NURQAMARINA BINTI MOHD NOOR, AZILAH SAPARON
Abstract:	As latest trend in designing processors and system-on-chips (SoCs), they require more RAMs than logics. These embedded RAMs contribute to the high percentage of yields for these processors and SoCs. To ensure high percentage of yield is achieved, a built-in self-test (BIST) is utilized to test these RAMs. The memory BIST applies various test algorithms such as MARCH tests to detect various RAM faults. Numerous design objectives such as programmability, low area overhead, at-speed/full-speed test and multiple RAMs target are proposed in the BIST designs. These objectives must be achieved to provide best fault detection in these embedded RAMs. A technique called clustering which is applied to other architectures such as VLIW processor and FPGA architecture is utilized in this study to achieve low area programmable memory BIST (P-MBIST). The synthesis results justify that the cluster technique provides low area overhead for the programmable memory BIST controller at optimum performance.
Keywords:	P-MBIST, MARCH Test, Cluster, Low Area, FPGA
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text

Title:	A NOVEL DESIGN OF FINGER VEIN RECOGNITION FOR PERSONAL AUTHENTICATION AND VEHICLE SECURITY
Author:	V.RAMYA, P.VIJAYA KUMAR, B.PALANIAPPAN
Abstract:	In this paper, a real time embedded finger vein recognition system for personal authentication and vehicle security is proposed. Vein patterns are different for each finger and for each persons and as they are hidden underneath the skin’s surface, forgery is extremely difficult these unique aspects of finger vein patterns recognitions set it apart from previous forms of biometrics and have led to its adoption in various security technology, the proposed system is implemented in MATLAB platform and equipped with a novel finger-vein recognition algorithm. The proposed system consists of four module image acquisition module, finger vein matching model, embedded main board and communication module. The image acquisition module is used to collect a finger vein image and is a low cost device. Feature extraction is important for finger vein recognition algorithm and a HAAR classifier is used to extract the features. The finger vein image is matched by calculating the Euclidean distance. Embedded control unit comprises of AT89C51microcontroller and is programmed using Embedded C and has a GSM for alerting a message about the unauthorized person. The proposed system takes only 0.5 seconds to verify one input finger vein sample and the expected error rate (ERR) of 0.06.
Keywords:	Finger Vein Recognition Algorithm, Image Acquisition, Haar Transform, Microcontroller, Gsm
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text

Title:	TWO-WAYS DATABASE SYNCHRONIZATION IN HOMOGENOUS DATABASE MANAGEMENT SYSTEM WITH BINARY LOG APPROACH
Author:	GEDE HADI SURYA, I MADE SUKARSA, I GUSTI MADE ARYA SASMITA
Abstract:	Nowadays, there are several researches conducted about design from Database for the real-time application. A real-time Database system is usually defined as a Database system in which the transaction is correlated with the deadline, right when their transactions are done. Along with the developing of the Database system these days, there are many theories emerged which combines the real-time system with the distributed Database and it is called Distributed Real-time Database System (DRTDBS). One of the foremost utilization of DRTDBS is using Replication. With Replication, all of the data will be sent from the original place to the destination place in real-time. On the other hand, Replication has many shortcomings, either from the consistency of the network or when the network is not working properly. This paper will discuss about how a DRTDBS application is built with the Client-Server concept by utilizing Replication and Binary Log from MySQL. This approach will contribute a new alternative and new concept on the process of synchronization Database in real-time with Binary Log file processing. It is also expected to give contribution in developing DRTDBS in the future.
Keywords:	Database Synchronization, Real-Time Database Systems, Replication, Binary Log
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text

Title:	OPTIMIZATION OF NANO ADHOC ON DEMAND DISTANCE VECTOR ROUTING PROTOCOL IN MANET
Author:	T GANESAN, DR N RAJKUMAR
Abstract:	Recent development of mobile adhoc networks , ensembles the nano molecular communication components in order to improve network performance by using transmitter nano machine (TN) and receiver nano machine (RN). The previous model nano adhoc on demand distance vector routing NAODV has the problem higher latency ratio, which claims the lifetime of the network. We propose a new optimized nano adhoc on demand distance vector routing protocol (O-NAODV), which uses the residual energy of mobile nodes while selecting a route. In conventional AODV routing protocol, source node forwards RREQ (Route Request) packet to find out path to the destination node. The packets are forwarded by the intermediate nodes which have lower value of residual energy and lifetime , so that even if a node forwards the route request packet , it cannot forward the route reply RREP packet successfully on the reverse direction towards source node. This makes the source node to rebroadcast the RREQ packet to the destination, which affects the Packet Delivery Ratio (PDR) as well as throughput. Solution to above problem is given in this paper, by Optimized NAODV routing protocol where the node does not forward RREQ unless there is sufficient energy and until the node density in its surrounding exceeds a particular threshold. Optimized NAODV analyzes these node density and residual energy parameters, when implementing routing discovery, and avoid the unnecessary rebroadcasts. We have compared the performance of NAODV with different simulation parameters and the proposed method has produced higher efficient results compare to others with increased throughput.
Keywords:	MANET, AODV, NAODV, O-NAODV
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text

Title:	A HYBRID AND NOVEL OPTIMIZATION FRAMEWORK FOR DENOISING AND CLASSIFICATION OF MEDICAL IMAGES USING DTCWP AND NEURO-FUZZY CLASSIFIERS
Author:	A.VELAYUDHAM, R.KANTHAVEL, K.MADHAN KUMAR
Abstract:	Computed tomography (CT) images are usually corrupted by several noises from the measurement process complicating the automatic feature extraction and analysis of clinical data. To attain the best possible diagnosis it is very vital that medical images be clear, sharp, and free of noise and artifacts. In this research paper, we propose a robust technique to denoise, detect and classify the tumour part from CT medical images. Our proposed approach consists of four phases, such as denoising, region segmentation, feature extraction and classification. In the denoising phase Dual Tree Complex Wavelet Packets and Empirical Mode Decomposition are used for removing noise. Here, histon process is used in order to surmount the smoothing filter type and it will not affect the lower dimensions. We have taken into consideration two noises, Gaussian and salt & pepper for proposed technique. The performance of the proposed technique is assessed on the five CT images for the parameters, PSNR and SDME. In the segmentation process K-means clustering technique is employed. For the feature extraction, the parameters contrast, energy and gain are extracted. In classification, a modified technique called Cuckoo-Neuro Fuzzy (CNF) algorithm is developed and applied for detection of the tumour region. The cuckoo search algorithm is employed for training the neural network and the fuzzy rules are generated according to the weights of the training sets. Then, classification is done based on the fuzzy rules generated. From the obtained outcomes, we can conclude that the proposed denoising technique have shown better values for the SDME of 69.9798 and PSNR of 25.4193 for salt & pepper noise which is very superior compared to existing methods. Moreover our proposed technique has shown an accuracy of 96.3% which is very better than the existing methods.
Keywords:	CT, EMD, DTCWP, PSNR, SDME, CNF, Contrast, Energy, Entropy, K-Means, Sensitivity, Specificity, Accuracy
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text

Title:	A SURVEY ON WATERMARKING TECHNIQUES, REQUIREMENTS, APPLICATIONS FOR MEDICAL IMAGES
Author:	R.LAKSHMI PRIYA , V.SADASIVAM
Abstract:	Medical images are often transmitted over insecure channel. Telemedicine enables medical diagnosis and patient care using modern medical equipments. These equipments generate huge volume of data every day. Hence protection of medical image is very crucial. Many approaches like encryption, digital signature, watermarking etc are spotted in the literature. Watermarking in medical images is commonly used for content authentication, effective data distribution and management, storage, security, safe archiving, controlled access retrieval and captioning. The objective of this paper is to present a survey and compare emerging techniques for protection of medical images through watermarking. Various aspects of medical image watermarking are discussed in this paper including classification and performance measures used in recent research. Finally the paper reviews and remarks about the state of the art and compare some recent works on watermarking.
Keywords:	Medical Image Watermarking, DICOM, Electronic Patient Record, Integrity, Authentication, Security, Tamper Localization
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text

Title:	WEB SERVICES BILLING AND ACCOUNTING
Author:	MUTHULAKSHMI, SHEILA ANAND
Abstract:	Accounting, according to the definition of IETF is the process of collecting the resource usage information for the purpose of billing, trend analysis etc. This paper presents an integrated billing, accounting and charging system for web service accounting. The ability to generate revenue based on differentiated services is critical to the future business success for service providers. Current AAA architectures, protocols, and implementations are unable to cope with heterogeneous application scenarios and requirements related to different provisioning of services. The proposed system aims to automate the process of billing and accounting for web services. Charging and accounting policies have been used to specify the pricing and accounting options for different services and users. Standard IPDR format has been proposed to define the bill and payment formats. The proposed design has been implemented and tested with a sample application.
Keywords:	Web service Accounting, Web service Audit, Web service bill, IPDR format
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text

Title:	SENSORLESS SLIDING MODE CONTROL OF INDUCTION MOTOR BASED ON LUENBERGER OBSERVER USING FUZZY LOGIC ADAPTATION MECHANISM
Author:	A. BENNASSAR, A. ABBOU, M. AKHERRAZ, A. ESSALMI, M. BARARA, H. MAHMOUDI
Abstract:	Many industrial applications require high performance speed sensorless operation and demand new control schemes in order to obtain fast dynamic response. In this paper, we present a speed sensorless sliding mode control (SMC) of induction motor (IM). The sliding mode control is a powerful tool to reject disturbances. However, the chattering phenomenon presents a major drawback for variable structure systems. To decrease this problem, a saturation function is used to limit chattering effects. A Luenberger observer based on fuzzy logic adaptation mechanism is designed for speed estimation. Numerical simulation results of the proposed scheme illustrate the good performance of sensorless induction motor and the robustness against load torque disturbance.
Keywords:	Sliding Mode Control, Induction Motor, Luenberger Observer, Fuzzy Logic, Adaptation Mechanism.
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text

Title:	EFFECTIVENESS OF SHEPWM TECHNIQUE FOR PARALLEL CURRENT SOURCE INVERTERS USING ARTIFICIAL BEE COLONY ALGORITHM
Author:	D.TAMILARASI, T.S.SIVAKUMARAN
Abstract:	Now a days multilevel inverters are gaining popularity due to reduced voltage stress and low Total Harmonic Distortion (THD) output voltage waveform. This paper proposes a new concept of H-bridge based parallel current source inverter (CSI), used for grid application. In this paper five, seven and nine level inverter response/waveforms are analysed for sinusoidal pulse width modulation (SPWM) and Selective Harmonic Elimination (SHE). Effectiveness of Proposed SHE PWM technique using optimal switching angles found using bee colony algorithm for current source inverters are verified using MATLAB/Simulink software.
Keywords:	Parallel current source inverter, SHEPWM, SPWM, Total Harmonic Distortion.
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text

Title:	A NOVEL APPROACH FOR RANKING ONTOLOGIES BASED ON THE STRUCTURE AND SEMANTICS
Author:	R.SUBHASHINI, DR.J.AKILANDESWARI
Abstract:	Semantic web is based on knowledge representation which contains a large number of ontologies. The increasing demand for ontology had triggered a growing number of usable ontology in web. This is mainly used for ontology merging, ontology mapping, and for reusing purpose. In order to get a solution for this problem, ontology search results need to be ranked. This ranking method increases the scope of the knowledge searching in ontology-driven searches. At present many ranking techniques are available. By exploring the advantages and weakness of a AKTive ranking algorithm in the semantic web , this paper proposes a new ranking algorithm named Onto-DSB ranking based on the semantic web link and the internal structure of ontology , the way which is achieved by introducing new measures based on its relation set. Experimental results indicate that this algorithm is more effective and satisfies the needs of the user.
Keywords:	Semantic Web, Ontology Merging, Ranking Algorithm, Reusable Ontology, Onto-DSB Ranking Technique, Internal Structure, Semantic Web Link.
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text

Title:	SOFTWARE DEVELOPMENT FOR THREE DIMENSIONAL VISUALIZATION OF LUNG ON COMPUTED TOMOGRAPHY SCANS USING ACTIVE SHAPE MODEL AND VOLUME RENDERING
Author:	SRI WIDODO, WIJIYANTO
Abstract:	Lungs are respiratory apparatus in humans and some animals. Lung specialists and radiologists usually only see image of Computer Tomography Scans (CT Scans) with naked eye to detect abnormalities of lungs. This procedure is considered to be ineffective. Purpose of this research is to develop applications for 3-D visualization of lungs on CT Scans. This study is divided into two steps. The first is lung segmentation using active shape model (ASM). Second is a 3-D visualization of lung using volume rendering. Results of our study show that segmentation approach with an Active Shape Model has accuracy 96.8%, sensitivity 88.2% and specificity 99.1%.
Keywords:	Active Shape Model, Computer Tomography (CT), Volume Rendering.
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text

Title:	CLASSIFYING NORMALITY, ABNORMALITY OF DIABETIC RETINOPATHY FUNDUS IMAGES BY DETECTING AND ANALYZING THE OD AND VASCULAR
Author:	C.A.SATHIYAMOORTHY, Dr.G.KULANTHAIVEL
Abstract:	The Assessment of the Blood Vessels in a Retinal Image is one of the significant jobs for diagnosing the ophthalmic pathology. The main objective of this paper is to classify the normal and abnormal images in diabetic retinal fundus images. This paper carry out the sequence of processes (i) detect Optic Disc, (ii) Extract the Blood vessels and (iii) classify whether the DR is normal or abnormal due to the stages of Optic Disc and Blood Vessels. The investigational results of an automated method for image-based classification of diabetic retinopathy have been presented. The process is divided into three stages: Image Pre-processing, Image-Segmentation & Extraction, feature extraction and then image classification. In the first stage two image processing techniques are used in order to enhance their features. Then, the second stage reduces the dimensionality of the images and obtains features using the statistical method of principal component analysis. Finally, in the third stage the images are classified using SVM classifier as normal or abnormal. The suggested algorithm is checked on the database DRIVE and the average value of sensitivity is about 83% with the average value of accuracy reaching 98%. Huge number of vessels is differentiated by a standard Thresholding for their good contrast and brightness. Then some thin vessel segments are identified with bad contrast and brightness. This proposed method reduces the more computational complexity and hand simulation work.
Keywords:	Optic Disc; Blood Vessels; Diabetic Retinopathy; Vascular; Normality–Abnormality; Detection and Classification.
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text

Title:	ASSESSING THE FACTORS THAT AFFECT ADOPTION OF SOCIAL RESEARCH NETWORK SITE FOR COLLABORATION BY RESEARCHERS USING MULTI-CRITERIA APPROACH
Author:	MARYAM SALAHSHOUR RAD, , HALINA MOHAMED DAHLAN, NOORMINSHAH A.IAHAD, MEHRBAKHSH NILASHI, ROZANA ZAKARIA
Abstract:	Collaboration in research continuously gains importance. Recent developments in online collaboration technology, namely social research network sites (SRNS), specifically aim to support research collaboration. SRNS allow researchers to present themselves, to network, to communicate, and to collaborate. Acceptance of this technology by researchers has received little academic attention. Understanding the relationships between a user’s intention and the utilization of SRNS is an essential step in engaging the SRNS as an educational tool. Previous research focused on explaining user adoption from technology perceptions such as perceived usefulness, perceived ease of use, interactivity, and relative advantage. However, current research models for technology acceptance can hardly explain the impact on the intention of using SRNS from the perspective of technology fit due to the lack of social constructs. However, users’ adoption is determined not only by their perception of the technology but also by the task technology fit. In other words, even though a technology may be perceived as being advanced, if it does not fit users’ task requirements, they may not adopt it. This study examines the impact of Performance Expectancy, Effort Expectancy, social influence, facilitating condition, user resistance, individual, technology, task and social characteristics on users’ intentions in using SRNS by integrating the unified theory of acceptance and usage of technology (UTAUT), task-technology fit (TTF) model and social capital theory. In addition, we applied the technique for order preference by similarity to ideal solution (TOPSIS) for ranking aforementioned factors. The TOPSIS, one of the multi-criteria decision making methods (MCDM), is developed to solve real-world decision problems that has continued to work satisfactorily across different application areas. Accordingly, we develop a new hierarchy model for TOPSIS using the aforementioned factors to assess their importance on adoption of social research network site for collaboration by researchers.
Keywords:	Assessing, Social Research Network Site (SRNS), Unified Theory of Acceptance and Usage of Technology (UTAUT), Task-Technology Fit (TTF), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text

Title:	OPTIMAL PILOT-SYMBOL PATTERNS FOR MIMO OFDM SYSTEMS UNDER TIME VARYING CHANNELS
Author:	MY ABDELKADER YOUSSEFI, JAMAL EL ABBADI
Abstract:	This paper presents a new approach to achieve optimal training sequences (OTS) in terms of minimizing the mean-square channel estimation error for spectrally efficient MIMO OFDM systems. It is shown that the OTS are equi-powered, equi-spaced and position orthogonal. However, in special cases we can find that required conditions to achieve optimal pilot design are not satisfied, this means the optimum pilot is unachievable. In this paper, an algorithm is proposed to achieve suboptimum pilot design under time varying channels. To offer high throughput gains, we propose an adaptive pilot scheme in order to optimally use pilot tones over time varying channels.
Keywords:	Differential evolution (DE), OFDM, MIMO, Mobile multipath channel.
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text

Title:	RECENT DEVELOPMENTS IN IMAGE QUALITY ASSESSMENT ALGORITHMS: A REVIEW
Author:	K.R. JOY, E. GOPALAKRISHNA SARMA
Abstract:	Image Quality Assessment (IQA) has become a subject of intense research interest in the recent years. The demand for accurate, consistent, computationally simple and easy-to-use quality assessment tools that can be used to measure, control, and improve the perceptual quality of images and video is increasing day by day. Applications of IQA include machine vision, medical imaging, multimedia communication, entertainment and other image processing activities. Systems embedded with IQA algorithms can replace humans for evaluating image quality in real-time applications and hard-to-reach environments. As most of the images are ultimately viewed by human observers, the best method to assess the quality of an image is by subjective tests by human observers. However, subjective tests are expensive, time consuming and difficult to perform in real-time applications. Therefore, these tests are done objectively using computer algorithms. These algorithms attempt to evaluate the quality of the image in the same way as how humans perceive image quality. In this article we present an up-to-date review on IQA research and its future trends, the principles and methodologies used in popular Full Reference IQA algorithms, the methodologies and parameters used for evaluating the performance of IQA algorithms and performance comparison of important IQA algorithms.
Keywords:	Image Quality Assessment, FR-IQA, NR-IQA, RR-IQA, HVS
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text

Title:	AN EXTENDED ARTIFICIAL IMMUNE SYSTEM FOR VOLTAGE PROFILE OPTIMIZATION USING UNIFIED POWER FLOW CONTROLLER
Author:	K.A. RANI FATHIMA , T.A. RAGHAVENDIRAN
Abstract:	Unified Power Flow Controller (UPFC) is a most versatile device to control the power flow in transmission lines efficiently by injecting active and reactive voltage components in series with transmission lines using power converter modules and dependent on an external dc-link voltage. This proposed novel method is capable of minimizing the overall system losses and simultaneously improves the voltage stability, by effectively controlling the power flow. These multiple constraints are satisfied by tuning the UPFC parameters using optimization algorithm. In this paper the EAIS-[Extended Artificial Immune System technique] is used to optimise the parameters of the unified power flow controller in order to improve the voltage profile. EAIS is a novel approach with minimum iterations that combines partial solution to reach the final solution. In this study, EAIS optimization engine is developed , where the control variables of the Unified power flow controller is embedded into the system’s data. This algorithm is implemented in MATLAB environment and tested in IEEE-30 BUS system. The Extended Artificial Immune System gives comparatively promising results than the existing techniques of AIS.
Keywords:	FACTS, Power Control, Power Systems, Power Optimization, Transmission Lines, UPFC, VP.
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text

Title:	ENHANCED TECHNIQUES FOR ASSOCIATION RULE CLASSIFICATION IN LARGE DATASETS
Author:	MNI.T.V, Dr.R.NEDUNCHEZHIAN
Abstract:	Associative classification performs knowledge discovery by combining the tasks of the Knowledge Discovery in Databases (KDD), association rule mining and classification. It is a promising method that improves classification in terms of accuracy when compared with traditional classification methods. The major issues with associative classification are its inability to work efficiently with huge datasets and the huge number of association rules generated. In this paper, these issues are addressed through the use of hierarchical partitioning with Frequent Pattern List and multiple projections of pruning algorithms with optimized rule selection procedure. Experimental results prove that these solutions provide the advantage of able to work with both small and large sized datasets without degrading the classification accuracy. The proposed algorithm shows an average efficiency gain of 47.90% with respect to reduction in number of rules, while showing a notable improvement in the classification accuracy.
Keywords:	Association Rule, Classification, Large Datasets, Frequent Pattern List, Hierarchical Partitioning.
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text

Title:	EFFICIENT POWER ALLOCATION FOR HYBRID-ARQ RELAY NETWORKS
Author:	ALI KAMOUCH, ZOUHAIR GUENNOUN
Abstract:	Spatial diversity is an inherent nature of wireless communications. This nature can be exploited to make communications more reliable by Multiple-Input-Multiple-Output (MIMO). However the use of multiple co-located antennas is constrained by the dimensions of modern devices. To overcome this drawback cooperative relaying shares antennas between different network nodes thus realizing a Virtual antenna arrays (VAA). In this paper we study a single user relay network aided Hybrid-ARQ (H-ARQ) type I consisting of a source, a relay and a destination. We provide the closed form expressions for the outage probability and delay. We use a numerical method based on relative distance between nodes to estimate the optimum amount of power to be allocated to source and relay. The numerical results show the accuracy of our analytical expressions. In addition proposed allocation strategy outperforms the equal power allocation.
Keywords:	Spatial Diversity, Relaying Networks (RN), Virtual Antenna Arrays (VAA), Multiple-Input-Multiple-Output (MIMO), H-ARQ Optimal Power Allocation.
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text

Title:	AUTOMATIC GRIDDING METHOD FOR MICROARRAY IMAGES
Author:	JONNADULA HARIKIRAN, B.AVINASH, DR.P.V.LAKSHMI, DR.R.KIRANKUMAR
Abstract:	A cDNA microarray is a powerful tool in biotechnology providing useful information in analyzing thousands of gene expressions simultaneously. The analysis of microarray images allows the identification of gene expressions to draw biological conclusions for applications ranging from genetic profiling to diagnosis of cancer. The DNA microarray image analysis includes three tasks: gridding, segmentation and intensity extraction. The gridding process is usually divided into two main steps: sub-gridding and spot detection. Most existing gridding algorithms are semiautomatic requiring human intervention and parameter presetting. Each spot is associated with a gene and contains the pixels that indicate the level of expression of that particular gene In addition, improper gridding will affect image analysis in extracting intensity values from each spot that represents gene expression level. In this paper, a fully automatic approach to sub-gridding and spot detection is presented. After gridding, the image is segmented using fuzzy c-means clustering algorithm for separation of spots from the background pixels. The result of the experiment shows that the method presented in this paper is accurate and automatic without human intervention and parameter presetting.
Keywords:	Microarray, Mathematical Morphology, Gridding, Image Processing
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text

Title:	EFFICIENT QOS WITH MULTIPLE CONSTRAINTS FOR EPIGENOMIC SCIENTIFIC WORKFLOW MODEL IN SAAS CLOUD
Author:	SUBAMATHI SIVARAJ, Dr. MUNIRAJ N J R
Abstract:	In cloud computing, Service Level Agreement (SLA) will be executed between the user and the cloud provider before the start of the application or using the cloud. SLA defines user’s essential Quality of Service (QoS) parameter in terms of execution cost and time. The QoS can be measured by many factors viz. Execution time, User deadline, Cost and Reliability etc. SC-PCP algorithm is used to improve the QoS, by using cost and time for satisfying user defined deadline. In this paper, an attempt has been made to enhance the SC-PCP algorithm and thereby to improve the QoS by including the several other parameters viz. Reliability, Scalability and Throughput. The user requirement is obtained with higher efficiency in short duration for considering of multiple parameters as QoS contrain. The performance of the enhanced SC-PCP algorithm has been simulated and analyzed using CloudSim to validate the results.
Keywords:	Throughput, Stability, Reliability, CloudSim, SAAS(Software as a Service), QoS(Quality of Service), Cloud Computing, Distributed Computing
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text

Title:	THE PROTOTYPE DESIGN ACADEMIC INFORMATION FOR MANAGEMENT OF EXAMS QUIZ UNIVERSITY STUDENTS BASED ON SMS GATEWAY
Author:	JUNITA JUWITA SIREGAR, RUBIL
Abstract:	The need for quick and cheap real time information becomes a must for every higher education institution in organizing the education. The need for a web for every teacher or lecturer in building multi-channel learning process is a challenge of building the advanced education itself. The objective of this research is to create a web application design with the use of Information Technology and Telecommunication (ICT) or SMS Gateway of academic information. The method of the research used by the author is Field Research, where data collection was done through direct observation on the users in order to obtain as much information as possible from the users to learn what the users want in the making of SMS Gateway information system. Meanwhile, the methodology of the software development is using the Rapid Application Development (RAD) or Prototype model approach. For the design analysis of the academic information SMS Gateway system, the author used the Object Oriented Analysis Design (OOAD) approach using the Use Case Diagram, Sequence Diagram, Class Diagram and web application implementation using PHP and MySql software as well as SMS Gateway software with Gammu. The conclusion of this research is that the use of academic information SMS Gateway on college or university students is very effective for the learning activity process and institution service quality improvement as well as for helping the lecturers to obtain information of their students’ quiz score real time. The result of this research is that the mastery of science and technology through the academic information SMS Gateway application prototype creation.
Keywords:	Sms Gateway, ICT, RAD, Academic, OOAD, PHP.
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text

Title:	DYNAMIC DIFFICULTY ADJUSTMENT IN GAME BASED ON TYPE OF PLAYER WITH ANFIS METHOD
Author:	KURNIAWAN SUTANTO, SUHARJITO
Abstract:	The purpose of this research is to measure the accuracy and effectiveness of Adaptive Neuro Fuzzy Inference System (ANFIS) when it implemented as Dynamic Difficulty Adjustment, to manage the difficulty of a game according to the player's behavior, as the main problem is players need to switch the difficulty level manually, and it will be annoyed them. The inputs are the amount of enemies defeated and hero taken damages. There are five levels of difficulty. The measurement of accuracy done by Mean-Squared Error, meanwhile the measurement of effectiveness done by comparing the value of Mean-Squared Error to the Artificial Neural Network's. The result is ANFIS has better performance on accuracy and effectiveness, as the value of MSE is 0.010592338 compared to 0.026847068 of ANN, so it can be conclude that ANFIS has good accuracy and effectiveness when it implemented as Dynamic Difficulty Adjustment.
Keywords:	Dynamic Difficulty Adjustment, Game, ANFIS, Accuracy, Effectiveness
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text

Title:	FRAMEWORK FOR AUDITING IN CLOUD COMPUTING ENVIRONMENT
Author:	SUNEETA MOHANTY, PRASANT KUMAR PATTNAIK, GANGA BISHNU MUND
Abstract:	Cloud Computing is an emerging field in the era of internet where information and Physical resources can be provided to cloud users according to their needs in pay-per-go basis. Security and privacy are the major concerns in Cloud Computing Environment(CCE). To achieve these issues all the physical resources like computing resources, sensitive user data and processes are got managed by the Third Party Service Provider. Audit in CCE provides the way for Cloud Service Provider to make their performance and security data available for the Cloud user readily. Hence to maintain data confidentiality, privacy, integrity and availability, auditing is introduced within Third Party Service Provider. This paper aim to study various issues in auditing that has been in practice and also intended to propose a framework that helps the designer to incorporate auditing aspects in CCE.
Keywords:	Cloud Computing Environment(CCE), Cloud Service Provider(CSP), Third Party Auditing Service(TPAS), Auditing
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text

Title:	EFFICIENT FPGA-BASED INVERSE PARK TRANSFORMATION OF PMSM MOTOR USING CORDIC ALGORITHM
Author:	ANIS SHAHIDA MOKHTAR, MAMUN BIN IBNE REAZ, MOHD ALAUDDIN MOHD ALI
Abstract:	A real-time field programmable gate array (FPGA) debugging system design is presented in this work. Inverse Park Transformation, which is an important module in Field Oriented Control (FOC) focuses on fast computation with good accuracy. The integrated system designed in this work provides a precise and highly accurate performance. It contributes to optimal efficiency and stability of permanent magnet synchronous motor (PMSM). The result shows that the performance of the proposed system is 142 ns execution time with 20 MHz frequency and 0.04% of error. This result shows significant improvement compared to other recent similar researches.
Keywords:	CORDIC, FOC, Inverse Park transformation, PLL, PMSM
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text

Title:	CYBERCRIME PREVENTION IN THE KINGDOM OF BAHRAIN VIA IT SECURITY AUDIT PLANS
Author:	AMNA ALMADHOOB, RAUL VALVERDE
Abstract:	Implementing cybercrime preventing technologies is critical in today’s connected world. As companies continue to rely on critical infrastructure, they should also address the risk and threats imposed by the use of these technologies. Bahrain is no different from anywhere else in the world when comes to cybercrimes, however, due to the lack of regulations and laws for the cyber world, small and medium companies were left to navigate their way through the cyber world. To understand how to assist small and medium organizations and the Bahrain cyber risk levels, a survey was designed to solicit Bahraini organization feedback with regards to four cybercrimes (Denial of services, web hacking and defacement, malware, spam and phishing). An audit plan was designed based on a set of proposed critical control objectives. The critical objectives ensure that organizations are well aware about their assets and the risks they are exposed to , build a solid boundary defence, secure configurations and applications, continues to monitor the environment and close any vulnerabilities and most importantly; to be vigilant and prepared to handle and respond to cyber incidents. The audit plan was tested with the help of a case study located in Bahrain and its use to prevent cyber attacks demonstrated in this research.
Keywords:	Cybercrime, IT Audits, Risk Management, Audit plans, Cyber Attack Prevention, Financial Systems
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text

Title:	ZIGBEE BASED REALTIME PLANT MONITORING SYSTEM USING µC/OSII
Author:	M.SUJITHA, Dr. V.KANNAN
Abstract:	This paper describes a realtime transformation for an existing non realtime process control system. The proposed system combines realtime scheduling with ZigBee wireless communication and Monitoring. This paper implements the effective handling of multiple tasks using RTOS concepts to suit critical applications and concurrent task handling in realtime environment. Priority based preemptive task scheduling algorithm is used to protect shared data and to achieve task synchronization. Thus the reliability and processing ability of the system are improved greatly by adding the µC/OS-II operating system.
Keywords:	ZigBee, µC/OS-II, Task, Nonlinear Process, Real-Time Transformation, Priority Scheduling
Source:	Journal of Theoretical and Applied Information Technology 10 July 2014 -- Vol. 65. No. 1 -- 2014
Full Text