		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
November 2013 | Vol. 57 No.3

Title:	THE ROLE OF INFORMATION TECHNOLOGY ON THE GROWTH OF FIRMS: A VALUE ADDED ONSIDERATION
Author:	MOHAMMAD ALI JAMALI, HATRA VOGHOUEI, NOR GHANI MD NOR
Abstract:	This paper concentrates on growth; one of the important aspects of firm behavior, in the Malaysian manufacturing sector between 2000 and 2006. It attempts to analyze the effects of information technology on firms’ growth in this period among 185 firms. By employing dynamic panel data and generalized method of moments (GMM), this work shows that information technology expenditure displays a positive effect on the growth of firms in the Malaysian manufacturing sector. The results also show that besides this factor, some elements, such as minimum efficient scale, productivity, technology, sunk cost, and capital-labor ratio have an effect on firms’ growth. The findings show that information technology expenditure could not be an effective tool for enhancing growth for firms that are under a certain level of productivity.
Keywords:	Information Technology, Growth, Malaysian Manufacturing Sector, GMM
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	RECONFIGURABLE FIR FILTER WITH RADIX-4 ARRAY MULTIPLIER
Author:	S.KARTHICK, Dr. S. VALARMATHY, E.PRABHU
Abstract:	FIR filters are commonly used digital filters which find its major application in digital signal processing. In conventional FIR filter, the input vector form is delayed by one sample and then multiplied with filter coefficients which are subsequently accumulated by the adders. The drawbacks due to this are high device utilization and high power consumption. In order to compensate these drawbacks, we propose a reconfigurable FIR filter using radix-4 multiplier. The major changes in the proposed system are radix-4 multiplier for multiplication and change in the basic architecture of the FIR filter. In this method, we combine all the input tap values having similar co-efficient values and then multiplying those with the respective co-efficient. The proposed design is simulated and synthesized using Xilinx. The proposed method is compared with the existing FIR filter. From the results, it is observed that our proposed method has got better results by having less number of occupied slices and low power consumption. The power analysis report of a 8-tap FIR filter using the proposed approach consumes 60µW at 25MHz, 110µW at 50MHz, 170µW at 75MHz and 220µW at 100MHz compared with the existing approach which was implemented on Spartan-3E. Additionally, the proposed design was also tested for n-tap FIR filter implemented in Virtex-4 FPGA and compared with the existing technique, which shows that our approach minimizes the number of slices occupied by the design and reduces the power consumption.
Keywords:	Reconfigurable FIR Filter, Radix 4 Multiplier, Power Consumption, Device Utilization.
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	PALMPRINT AND FACE BASED MULTIMODAL RECOGNITION USING PSO DEPENDENT FEATURE LEVEL FUSION
Author:	M. ARUNKUMAR, S. VALARMATHY
Abstract:	Biometrics refers to a scientific discipline which involves automatic methods for recognizing people based on their physiological or behavioural characteristics. Biometric systems that use a single trait are called unimodal systems, whereas those that integrate two or more traits are referred to as multimodal biometric systems. A multimodal biometric system requires an integration scheme to fuse the information obtained from the individual modalities. In this paper, we have designed and developed a technique for multi-modal biometric recognition using feature level fusion. Initially we consider two data sets namely face and palmprint. Using multi texton histogram we extract the features from the face and palmprints directly. We concatenate the face and palmprint using XOR, AND and OR gate with the help of Particle Swarm Optimization (PSO) algorithm. In recognition, the concatenated feature is matched through distance matching and distance score provides recognition identity of a person. The proposed technique is implemented with the help of evaluation metrics such as false acceptance rate, false rejection rate and accuracy. Finally the comparative analysis for the proposed fusion technique results 40% better accuracy, when compared with the existing techniques.
Keywords:	Biometrics, Face, Palmprint, PSO, Feature Extraction, Fusion
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	MULTI LAYER PERCEPTRON FOR WEB PAGE CLASSIFICATION BASED ON TDF/IDF ONTOLOGY BASED FEATURES AND GENETIC ALGORITHMS
Author:	N.VANJULAVALLI, Dr.A.KOVALAN
Abstract:	Now a day, Millions of web servers are available to give a huge amount of electronic content to the end users using the internet. Searching the content relevant to the need of a user is a challenging task because of the ambiguity in our natural language. Classification of web pages based on their contents is useful to the search engines to give appropriate and desired data to the user. In this paper, an optimized approach is used for classifications of web pages. Feature extraction and selection of best features play a key role in classification. In this work, features are extracted from the ontology representation of content and Inverse Document Frequency (IDF). Then the best features are selected by using genetic algorithm. Using the selected features by GA, an Artificial Neural Network (ANN) is trained to classify the web pages. Results were compared with the classification methods based on neural networks with IDF based feature extraction, neural networks with ontology based feature extraction, neural networks with combined IDF and ontology based feature selection and other three methods are based on applying genetic algorithm to select the best features to classify the web pages. The parameters such as a percentage of accuracy, precision, recall and root mean square error are considered for performance evaluation. Numerical results showed that hybrid classifier trained by multilayer neural network with GA for selecting IDF and ontology based features gave 93% of accuracy, high precision and recall and lowest RMSE when comparing to all other methods.
Keywords:	Web page classification, Inverse Document Feature, Ontology, Neural network classifier, Genetic Algorithms
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	MOBILE SECURITY: DESIGNING A NEW FRAMEWORK LIMITING MALWARE SPREAD IN THE MOBILE CLOUD COMPUTING
Author:	MOHAMED GHALLALI, ABIR EL MIR, BOUABID EL OUAHIDI , BOUCHAIB BOUNABAT, NORELISLAM EL HAMI, BADR ELMIR
Abstract:	Our study is primarily interested in limiting the spread of malwares via SMS/MMS, and Emails. It describes the steps leading to identify, analyze and secure traffic in mobile networks. For this purpose, a Framework MPSS has been used to be part of the network of the mobile network operator. MPSS aims to increase the level of information security across the telecom provider network in order to resolve the problems of the limited hardware and software resources on those mobiles devices. Finally, a new study based on MPSS Framework limitations, has driven a designing of a new Framework called MPSS2 based in the private Mobile Cloud Computing of the ISP. In addition, with the approach of MCC, the proposed security takes the form of a service provided by the mobile network operator (SaaS: Security as a Service). Therefore MPSS2 has the main objective to limit the risk of losses of personal and professional user’s data.
Keywords:	Mobile Security, Framework, Spread of Mobile Malwares, Mobile Cloud Computing, Mobile Network Operator.
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	LPSO-WNN DENOISING ALGORITHM FOR SPEECH RECOGNITION IN HIGH BACKGROUND NOISE
Author:	LONGFU ZHOU, YONGHE HU1, SHIYI XIAHOU, WEI ZHANG, CHAOQUN ZHANG ZHENG LI, DAPENG HAO
Abstract:	This paper introduces an intelligent evaluation method based on improved PSO-WNN (partiele swarm optimization-wavelet neural network) for speech denoising in high background noise. Firstly, by using Lyapunov stability theory, convergence conditions of a single particle is discussed and based on the result, a new strategy is introduced to improve the performance of the PSO algorithm. Then, the improved PSO algorithm is used to optimize the parameter of the WNN and the LPSO-WNN is introduced. Finally, the trained LPSO-WNN is used to identify and recognition the speech signal in high background noise. Experimental results show that the new method is high efficient and practicable for filtering the high background noise and recognition the speech signal.
Keywords:	LPSO, WNN, Speech Recognition, High Background Noise, Denoise
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	ROBUST CONTROL OF ADAPTIVE SINGLE INPUT FUZZY LOGIC CONTROLLER FOR UNMANNED UNDERWATER VEHICLE
Author:	ARAS, M.S.M, ABDULLAH, S.S , SHAH, H.N.M., RASHID, M.Z.A, AZIZ, M.A.A
Abstract:	In this paper the investigation of Adaptive Single Input Fuzzy Logic Controller (ASIFLC) as robust control of an Unmanned Underwater Vehicle (UUV). Robust control methods are designed to function properly with a present of uncertain parameters or disturbances. Robust control methods aim to achieve robust performance and stability in the presence of bounded modeling errors. The UUV applied in this research is a Remotely Operated Vehicle (ROV). Three ROV model will be used to apply ASIFLC such as ROV model was developed by UTeRG Group, ROV Model “Mako” was developed by Louis Andrew Gonzalez and RRC ROV- unperturbed with 6 DOF was developed by C.S. Chin. The simulation of controlling ROV by ASIFLC focused on depth control (heave motion). The ASIFLC for depth control of the ROV was successfully tested in simulation and real time by UTeRG Group. The simulation uses MATLAB Simulink and the performances of system response for depth control of Adaptive Single Input Fuzzy Logic Controller for Unmanned Underwater Vehicle will be discussed. It is proved the Adaptive Single Input Fuzzy Logic Controller is the robust control for different model of the ROV.
Keywords:	Robust Control; Adaptive Single Input Fuzzy Logic Controller; Remotely Operated Vehicle
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	USE OF ARTIFICIAL INTELLIGENCE IN AUTOMATION OF SEQUENTIAL STEPS OF SOFTWARE DEVELOPMENT / PRODUCTION
Author:	SENTHIL JAYAVEL, S ARUMUGAM, BRIJENDRA SINGH, PRASHANT PANDEY, AKASH GIRI, AKSHAY SHARMA
Abstract:	Software development is a sequential process where the allied steps in the development lifecycle involve planning and modularization, requirement engineering, analysis of product viability, profits estimation, strategic decision making, maintenance strategies etc. Often, most of these phases are pretty complex and thereby, extremely difficult to handle solely through human intervention, mainly due to the size of the project, the number of factors to be taken into consideration at each modular level and the rapidly changing external environment. In this paper we aim to provide an intuition on using Artificial Intelligence (AI) in the different phases of the software development lifecycle. Our paper focuses on a specific software development example for clarity and precision, but most of the techniques are highly general and scalable to any software development process.
Keywords:	Software Engineering; Artificial Intelligence; Machine Learning
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	A HIGHLY ADAPTIVE FAULT TOLERANT ROUTING PROTOCOL FOR ENERGY CONSTRAINED MOBILE AD HOC NETWORKS
Author:	P. MANICKAM, Dr. D. MANIMEGALAI
Abstract:	In Mobile Ad hoc Network (MANET), mobile nodes dynamically set up a wireless network without the presence of fixed infrastructure. In MANET, each node acts as router to send and receive the information in a multi hop fashion. Since nodes are in random movement and operated on battery power, the network topology may change frequently. Moreover, nodes are operated by limited battery power and nodes exhaust their energy by overhearing the information even if node is in idle state. In order to extend the life time of network, routing protocols consider the residual power of nodes while selecting a route and distribute the load to all nodes in the network. So, designing an efficient routing protocol to route the information in MANET is a challenging task. In this paper, we have proposed a new protocol AODV-Energy Based Routing (AODV-EBR) protocol for energy constrained mobile ad hoc Networks. This protocol optimizes Ad hoc on demand distance vector routing protocol (AODV) by creating a new route for routing the data packets in the active communication of the network. The proposed protocol efficiently manages the energy weakness node and delivers the packets to destination with minimum number of packets dropped. The proposed scheme have simulated using Network Simulator (NS-2.34) tool and compared with AODV routing protocol. The results show that the new proposed protocol has better performance over AODV routing protocol by improving packet delivery ratio and control packets dropping during the communication.
Keywords:	AODV, Hello Packet, Node Energy, Sequence Number, Upstream Node
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	LEARNING MEDIA BASED ON GAME BASED LEARNING TO LEARN DIGITAL TECHNIQUES
Author:	I.G.P. ASTO BUDITJAHJANTO
Abstract:	A computer as a learning medium has been used for many years lately. Yet, a computer game that is used as a learning medium not so many researches to measure the validity for a learning medium. Therefore the objective of this research is to measure the validity of computer game as a learning medium and the student’s response after using the computer game. The Game Based Learning (GBL) method is used in this research. It has input-process output model of instructional games and learning that appropriate for development a game as a learning medium. By playing a game, GBL method can give enjoyment and experience for the players (students). The validation results of GBL as a learning medium shows significant outcome. The validation results come from three experts to assess three aspects such as: game aspects, the material of the problem and the construction of the problem. These aspects have criteria very valid for all the criteria of the instrument. Furthermore, we also measure responses from twenty students to appraise the aspects of computer game. These aspects consist of two aspects such as: the attractiveness of the computer game and the aspect of understanding of the material. These aspects also have criteria very valid for all the criteria of the instrument.
Keywords:	Game Based Learning, Computer Game, Validity, Simulation
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	USING Z FORMAL SPECIFICATION FOR ENSURING CONSISTENCY IN MULTI-VIEW MODELING
Author:	KHADIJA EL MILOUDI, YOUNES EL AMRANI, AZIZ ETTOUHAMI
Abstract:	Consistency between different UML diagrams is an important challenge in object oriented modeling but UML lacks any mechanism to rigorously check consistency between the models. This paper presents the first formal semantics of UML sequence diagram using Z notation. The main focus of our approach is to guarantee consistency between sequence and class diagram in multi view modeling context. By means of a representative example, we show how our approach is used for the detection of inconsistencies.
Keywords:	Z, UML, Formal Methods, Sequence Diagram, Multi-view Modeling, Consistency Checking
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

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 November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	A STUDY ON VARIOUS BIO-INSPIRED COMPUTING MODELS
Author:	ANAND MAHENDRAN , RAMYA GOVINDARAJ
Abstract:	Natural computing is the field of research that investigates various computing models and computational techniques which are inspired from nature. It is an interdisciplinary field that nudges the natural sciences with computing science and attempts to understand the world around us in terms of information processing. In the last few decades, natural computing which includes biologically inspired computing is an area being pursued with a great deal of interest. In this paper, we make an attempt to explore the working nature, applications, variants and generative power of various bio-inspired computing models such as membrane computing, insertion-deletion systems, Watson-Crick automata, splicing systems and sticker systems.
Keywords:	Bio-Inspired Computing, Membrane Computing, Watson-Crick Automata, Splicing System, Sticker System
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	FACE LOCALIZATION-BASED TEMPLATE MATCHING APPROACH USING NEW SIMILARITY MEASUREMENTS
Author:	GHASSAN MARWAN ABDULFATTAH, MOHAMMAD NAZIR AHMAD
Abstract:	In this paper, a number of similarity measurements have been developed, namely: Sum of Absolute Difference (OSAD), Sum of Square Difference (SSD) and Normalized Cross Correlation (NCC) in order to measure the correlation between the input image and the template image. In addition, two metrics were proposed, specifically: Sum Square T-distribution Normalized (SSTN) and Chi-Square distribution (Chi2) by which to measure matching between the two images. The result showed that optimized measurements overcome any drawbacks of NCC. Moreover, our results show SSTN and Chi2 as having the highest performance compared with other measurements. Sets of faces including: Yale, MIT-CBCL, BioID, Indian and Caltech were used to evaluate our techniques with success localization accuracy of up to 100%.
Keywords:	Face Localization, Template Matching, Similarity Measurements
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	INTRODUCING THE OPEN SOURCE METAMODEL CONCEPT
Author:	AHMED MOHAMMED ELSAWI1, SHAMSUL SAHIBULDIN, ABDELHAMID ABDELHADI
Abstract:	The Model Driven Architecture (MDA) is a model centric software engineering methodology that aiming to enhance software productivity, reusability, maintainability and quality by focusing on models and metamodels in place of conventional code. By adopting the separation of concern these models defined in different levels of abstraction where each model syntactically conforms to a particular metamodel. Under the MDA context this work presents a novel approach for representing models and metamodels. Benefiting from the knowledge representation capability and the open structure of the Entity Attribute Value (EAV) model, we represent metamodels and its instance models in a single EAV designed repository in to support of model transformations and introducing a new concept of what we call it an Open Source Metamodel. Also this work demonstrate an integration between UML static and behavioral models.
Keywords:	Metamodel Representation, Model Representation, Entity-Attribute-Value, EAV, Open Source Model, MDA
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	OPTIMISING ONTOLOGY INTEGRATION THROUGH INTERMEDIATE ONTOLOGIES
Author:	V. RAJESWARI, Dr. DHARMISHTAN K. VARUGHESE
Abstract:	The semantic web is increasingly being seen as a solution to manage knowledge content among heterogeneous and distributed information on the internet. Evolution of the semantic web is linked to a great extent to the evolution of various domain ontologies. It is necessary to formally define the mapping between ontologies to enable interoperability between applications in heterogeneous distributed information systems. The authors, in this paper illustrate how the fundamental problem of mapping between the global ontology and the local ontologies can be addressed, primarily through a newly developed WeGO algorithm. A mapping system for OWL-DL ontologies, where mappings are expressed as correspondences between conjunctive queries over ontologies, forms the core of this research work. The algorithm finds the semantically equivalent terms in local ontologies and uses them to build an intermediate ontology. The intermediate ontologies form the building block for a global ontology that will encompass the salient elements of the various local ontologies. It is further shown how the mapping system proves effective for the task of ontology integration through illustrative queries. Experimental data show that the query results obtained from the local ontology and global ontology match the results obtained from the intermediate ontology.
Keywords:	Data Integration, RDF, OWL, Semantic Web, Heterogeneous Data, World Wide Web, Local Ontology, Global Ontology, Intermediate Ontology, Mapping, Merging
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	FINGERPRINT-FACE FEATURE MATCHING USING MULTI-MODALITY SYSTEM BY AGGLOMERATIVE MULTI-CLUSTERING
Author:	V.LATHA JOTHI, Dr.S.ARUMUGAM
Abstract:	The biometric authentication is an effective alternative for traditional authentication techniques. Because biometric data cannot be easily restored or revoked, it is significant that biometric templates used in biometric applications must be built and stored in a secure way, such that attackers could not be able to falsify biometric data easily even when the templates are negotiated. Researches in this area prove that multi-modal biometric systems perform better than single mode. The fundamental idea of multi-modal biometrics is the integration of the different biometric data. This paper presents a multi-modality system, which integrates a function of fingerprint features and face features. The template matching is done using agglomerative multi-clustering process. Presented Multi-Modality System (MMS) considers fingerprint features including pores, incipient ridges, dots, and ridge edge protrusions and face features including eyebrows, eyes, mouth, nose, ears and face border for matching with template. It consists two feature enrollment modules for acquiring the fingerprints and faces into the system and two feature extractors for obtaining the feature sets of fingerprint and face biometrics. The final identification is then performed using a agglomerative multi-clustering process (AMP) which is fast and effective. We evaluate the effectiveness of our system using real fingerprints and face images from publicly available sources. Experimental results demonstrate that Multi-Modality System proposed here have higher security and matching performance compared to Single-Modality System.
Keywords:	Fingerprint, Face, Multi-Cluster, Multi-modality, Agglomerative Multi clustering
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	EFFECTIVE AND EFFICIENT RULE MINING TECHNIQUE FOR INCREMENTAL DATASET
Author:	KAVITHA J.K, MANJULA D, KASTHURI BHA J.K
Abstract:	This paper presents an effective and efficient rule mining technique for incremental dataset. One of the most important challenge is discovering the frequent patterns , if the dataset is incremental in nature , this may cause some existing rules becomes invalid and some new rules becomes valid. In this paper, the Efficient Incremental Rule Mining (EIRM) Algorithm is proposed as a solution to this problem. In the proposed algorithm only a single scan to the database is needed. Instead of itemsets, the Transaction Identifiers (TIDs) are stored for discovering promising and unpromising item sets and relevant support count are also maintained. This helps to find all frequent patterns of an updated dataset efficiently and reduces execution time. The simulation results show that the proposed algorithm has good performance.
Keywords:	Frequent patterns, Association Rules, Data mining, Incremental mining
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	CODE STRATEGY ALGORITHM FOR ONLINE POWER QUALITY MONITORING OF ELECTRICAL EQUIPMENT USING WSN UNDER TINY-OS ENVIRONMENT
Author:	A . VIJAYALAKSHMI , P. VANAJA RANJAN
Abstract:	Minimization of energy consumption is one of the most vital objective for Wireless Sensor Network (WSN) based applications. The rate of the node’s energy consumption is based on the sampling rate of the sensors in wireless sensor networks (WSNs), since most of the energy is used in sampling and transmission. To save the energy in WSNs and thus prolong the network lifetime, this paper presents a novel approach based on Event-Driven Algorithm (EDA) with code-driven strategy. In this algorithm, energy efficient wireless sensor network has been developed and code driven protocol for data forwarding which minimize the transmission power of sensor node has been designed. The proposed algorithm has shown 68% increase of network lifetime in Event-Driven Algorithm (EDA) and 79% increase in Code-Driven Algorithm (CDA) when compared with a continuous monitoring algorithm. The performance of the proposed protocol is analyzed experimentally using Crossbow IRIS motes under TINY OS environment and results are discussed.
Keywords:	Energy Efficient, Event-Detection, Power Quality Monitoring, Power Control, Smart Grid
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	MUTUAL MODULE BASED PARAMETERIZATION APPROACH FOR DWT AND FFT ALGORITHM
Author:	J.VENKATESH, R.RANI HEMAMALINI
Abstract:	In Embedded and wireless communication systems, the use of DWT (Discrete Wavelet Transform) and FFT (Fast Fourier Transform) algorithms based modules has been significant. Of late, in a system if various module designs for distinct algorithms exist then the parameterization/reconfiguration techniques are becoming an effective implementation idea of research. And so, in this paper, parameterization technique is approached which takes advantage of the mutual modules present in the two distinct algorithms popularly used in the Embedded and wireless communication systems applications. Significance of this paper is to introduce a mutual module for the lifting DWT and FFT butterfly such that it contributes to reduction in area and power consumption. The advantage of this mutual module implementation in the parameterization approach is that the achieved power consumption is 253mW at 100MHz and the area required is 242 slices. Therefore, the power reduction for 8point FFT and 9/7DWT system under test is almost 40 % and for the same system under test the area reduced is 48%.
Keywords:	DWT-lifting, FFT-butterfly, Mutual Module, Parameterization.
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	MEDICAL IMAGE AUTHENTICATION WITH ENHANCED WATERMARKING TECHHNIQUE THROUGH VISUAL CRYPTOGRAPHY
Author:	UMAAMAHESHVARI ANNAMALAI, THANUSHKODI K
Abstract:	Technological evolution has increased the insecurity of the biomedical images produced day to day. Avoidance of the database hacking and preserving the privacy of digital biometric data stored in the central database has become of paramount importance. In order to preserve the security of the database, an enhanced visual cryptographic technique is proposed in this paper. Cryptographic technique allows information to be encrypted in such a manner that decryption cannot be handled by the non-legitimate user. The proposed method allows a secret sharing scheme, where an image is broken up into two shares and then overlaid in such a way that an unauthenticated person cannot reveal this secret image. The partitioned image is compared with all the images in the target using Hausdorff Distance metric algorithm. When both the images match, the authentication is provided. This paper also focuses on outsourcing data to an untrusted client to predict the category of the image without getting any information about the image itself and the final result of the classification. The experimental results show that our proposed method is efficient over the existing methods.
Keywords:	Authentication, Hausdorff Distance Metric, Privacy Preserving And Visual Cryptography
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	IMPACT OF MISBEHAVIOR ON MODIFIED AODV PROTOCOL
Author:	MANI P., KAMALAKKANNAN P
Abstract:	Mobile Ad hoc Networks (MANETs) is a collection of mobile nodes forming the network dynamically for exchange of information using the multi-hop wireless communications. It is difficult to find the optimal route between source and destination due to the changing topology and dynamic nature of the mobile nodes. Routing protocols for mobile ad hoc networks are designed with an assumption that the nodes will cooperate in packet forwarding to establish communication between distant nodes using multi-hop communication. The cooperation between nodes does not exist always. In order to save scarce resources like battery power, bandwidth etc., the nodes may misbehave. A particular misbehavior, called malicious behavior, severely affects the performance of the ad hoc routing protocols. The malicious attack is carried out as a two phase attack launched by one or more malicious nodes. In the first phase, the malicious nodes try to lure legitimate node to send packets via them by participating in the network. In the second phase, these nodes drop all the data packets send via them thereby affecting the overall communication. In this paper, we have simulated the malicious behavior in Ad hoc On-demand Distance Vector (AODV) routing protocol using NS-2 and studied the impact of it on the performance of the mobile ad hoc networks with and without malicious behavior. The analysis was carried out using various metrics like packet delivery ratio, normalized routing load, average end-to-end delay and percentage of packet loss. Based on the analysis, we conclude that the steps have to be taken to thwart the malicious behavior otherwise it would be difficult to find routes longer than one or two hops.
Keywords:	Mobile Ad Hoc Networks, Malicious nodes, AODV, Malicious Behavior, NS-2
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	OLSR WITH OPTIMIZED HYBRID PARTICLE SWARM OPTIMIZATION AND INVASIVE WEED OPTIMIZATION
Author:	S. MEENAKSHI SUNDARAM, DR. S. PALANI, DR. A. RAMESH BABU
Abstract:	MANETs are multi-hop ad-hoc wireless networks where nodes move arbitrarily in topology. The network has no infrastructure and can be established easily in any environment. The Optimized Link State Routing (OLSR) protocol is a route management protocol which is used for such mobile ad hoc networks. The paper presents a hybrid algorithm based on Invasive Weed Optimization (IWO) and Particle Swarm Optimization (PSO), named IW-PSO. IWO is a relatively new numerical stochastic optimization algorithm. By incorporating the reproduction and spatial dispersal of IWO into the traditional PSO, exploration and exploitation of the PSO can be enhanced and well balanced to achieve better performance. In this paper, it is proposed to modify OLSR using Hybrid Particle Swarm Optimization Invasive Weed Optimization which reduces the end to end delay and also improves the throughput in the network.
Keywords:	Optimized Link State Routing (OLSR), Invasive Weed Optimization (IWO),Ad hoc Network, Particle Swarm Optimization (PSO)
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	KEY PRE-DISTRIBUTION SCHEME FOR RANDOMIZED SECURED ROUTING IN WIRELESS SENSOR NETWORKS
Author:	U.SENTHIL KUMARAN & ILANGO PARAMASIVAM
Abstract:	In wireless sensor networks (WSN’s), majority of its applications necessitate the confidentiality of information they transmit. This can be achieved through secure key management schemes. In this paper, a key pre-distribution scheme for randomized secured routing is proposed for WSN. Initially, the sink utilizes the one hop neighbor information of nodes to predistribute keys. It randomly chooses (n/2) nodes and distributes with (k+m) keys and other nodes obtain (k) keys. Nodes with more shared keys are considered as high resilient nodes. During data transmission, high resilient nodes are preferred to other normal nodes and the next hop is randomly selected from the secured minimum hop neighbors. When there is more than one secure minimum hop links, then a weight function is assigned and the best path is elected. The proposed scheme is simulated in NS-2 and it is shown that it provides high resilience and delivery ratio with reduced energy consumption.
Keywords:	Wireless Sensor Network (WSN), Key Management, Security, Pre-distribution.
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	GENETIC OPTIMIZATION FOR PRIVACY PRESERVING IN DATAMINING
Author:	J. PARANTHAMAN, Dr. T ARULDOSS ALBERT VICTOIRE
Abstract:	Data mining needs accurate input for meaningful results, but privacy issues could influence users into providing fictitious information. To preserve client privacy in data mining various Anonymization techniques is used, one of the most common being k-anonymity. This converts data into an equivalence classes set with each class having a set of K- records indistinguishable from others. In this paper, k-anonymity is used for preservation of privacy when data mining algorithms are applied. A mushroom data set anonymized to varied levels to preserve privacy and genetic algorithm (GA) for optimization is used in evaluation. Experiments prove that the new method achieves good results.
Keywords:	Privacy Preserving Data Mining, K-Anonymity, Genetic Algorithm
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	VIDEO-SURVEILLANCE SYSTEM FOR TRACKING A PERSON BY ESTIMATING THE TRAJECTORY
Author:	BOUTAINA HDIOUD, RACHID OULAD HAJ THAMI, MOHAMMED EL HAJ TIRARI
Abstract:	This paper we propose a simple and efficient video surveillance system which detects and tracks a person in a video stream. Object detection is the most important and crucial step for any video surveillance system. In this paper, we separate foreground and background by using the statistical model of Gaussian Mixture (GMM). Interests points are identified in the detected regions (foreground) using the Harris detector. The analysis of connected components detected by subtracting the background allows grouped the pixels of moving objects in order to extract the center of gravity. Then, a boundary box is used to limit the area of connected components in order to detect the coordinates of the gravity center of the moving person. Finally, by projection in Euclidean plan we can get the trajectory of the person in motion and compute the Euclidean distance crossed in the scene.
Keywords:	GMM model, Connected Component, Boundary Box, Video analysis, Harris detector, Trajectory estimation.
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	MALWARE DECTION USING IP FLOW LEVEL ATTRIBUTES
Author:	AHMED ABDALLA, HAITHAM A. JAMIL, HAMZA AWAD HAMZA IBRAHIM, SULAIMAN MOHD NOR
Abstract:	Although the task of malware detection in network traffic had been done successfully through Deep Packet Inspection (DPI) in the last two decades, this approach is becoming less efficient due to the continuous increasing of network traffic volumes and speeds and concerns on user’s privacy. The recent alternative approach is the flow-based detection which has the ability to inspect high speed and backbone network traffic because it significantly aggregates and reduces the inspected data. However, the capability of this approach to detect packet-based attacks such as viruses and trojans is questionable because of the absence of the actual data at the payload level. In this paper we proof through experiments the ability to detect network flows that contain malicious packets that had been previously marked as malicious by Snort using only flow level attributes using several Machine Learning (ML) classifiers. We created our dataset from captured traces of a subnet of our university’s network. The detection accuracy is found to be 75% True Positive (TP) with almost zero False Negative which we consider as a verification of the capability of flow-based approach to detect malware. This finding is encouraging for future researches where it can be combined with more traditional detection methods to form more powerful NIDSs.
Keywords:	Network Intrusion Detection System (NIDS), Flow level network traffic inspection, Snort, Malware Detection, Machine Learning, NetFlow
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	DESIGN, MODELLING AND SIMULATION OF UPQC IN FOURTEEN BUS SYSTEM
Author:	P. KANNAN, V. RAJAMANI
Abstract:	This work deals with design, modelling and simulation of UPQC in Fourteen bus system to improve the power quality in a multi bus system. The UPQC system is modelled using the elements of Simulink and it is simulated using MATLAB. A sag is created by applying a heavy load at the receiving end. The sag is compensated by using the UPQC. The harmonics required at the receiving end are supplied by the inverter part of UPQC. The DC required by the UPQC is supplied by Solar cell and Boost converter system. The simulation results of fourteen bus system are presented in time domain.
Keywords:	FACTS, MATLAB, UPQC, SOLAR CELL
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	CLUSTER BASED BEE ALGORITHM FOR VIRTUAL MACHINE PLACEMENT IN CLOUD DATA CENTRE
Author:	AJITH SINGH. N, M. HEMALATHA
Abstract:	The utilization of cloud data centres in combination with Virtualization technology has advantages of running more than one virtual machines in a single server. The data centres is a collection of many servers, allocation of VM to Host is known as VM placement. VM placement problem was examined in this paper with focus for maximum utilization of the resources and energy reduction. Switching off the idle server or in sleep mode can save energy consumption highly wasted in data centres. Technique for solving Virtual machine placement problem is implemented with the HoneyBee algorithm with hierarchical clustering in order to minimize energy consumption in servers. Cluster formation with the HoneyBee algorithm supports easy relocation of Virtual Machine migration and reduces the network latency. Further, simulation work with PlanetLab workload was experimented and revealed that the proposed HCT algorithm reduced energy consumption significantly while reducing the SLA and VM migration.
Keywords:	Virtual Machine, Cloud Computing, Live Migration, Server Consolidation, HoneyBee Algorithm, hierarchical Cluster
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	IMPROVING WEB QUERY PROCESS USING CONTEXT CYCLIC METHOD
Author:	M.MANIKANTAN, Dr.S.DURAISAMY
Abstract:	The advent of internet besides the sophisticated and advanced web technologies have edified themselves to be a panacea for solving the complications in the process of information retrieval from various data sources like local, regional and other organizational information. Even though the utility of search engines is prevalently observed, the web users still encounter problems in fixing or retrieving the requisite information for their web queries. Accuracy and appropriateness of data-retrieval through web queries witness a great demand in the current scenario. This paper is an effort to elucidate the enhancement of the accuracy and appropriateness of the data-retrieval for the web queries posted by the users. A context sensitive model is proposed in this article to enhance the web query processing through intelligent tag assignment graph approach. The aspiration of this research is to provide a successful demonstration of the use of existing knowledge sources to enhance the content of web queries.
Keywords:	Web Query Processing, Information Retrieval, Tag Assignment, Search Engine, Context Mapping Model.
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	A NOVEL ADAPTIVE FUZZY INFERENCE SYSTEM FOR MOBILE ROBOT NAVIGATION
Author:	J. HOSSEN, S. SAYEED, A. HUDAYA, M. F. A. ABDULLAH, I. YUSOF
Abstract:	The Fuzzy hybridization technique for intelligent systems have become of research interests in a variety of research areas over the past decade. There are limitations faced by all popular fuzzy systems architectures when they are applied to applications with a large number of inputs (more than three). The present paper proposes a novel adaptive fuzzy inference system for multi-sensors mobile robot navigation. A novel fuzzy inference system is constructed by the automatic generation of membership functions (MFs) and formed a minimal numbers of rules using hybrid fuzzy clustering algorithm (Combination of Fuzzy C-means and Subtractive clustering algorithm) and the modified apriori algorithm, respectively. A modified apriori algorithm is utilized to count the number of common elements from the clusters and to obtain a minimal set of decision rules based on input-output datasets. The generated modified adaptive fuzzy inference system is then adjusted by the least square method and the gradient descent algorithm towards better performance with a minimal set of rules. The proposed algorithm is able to reduce the number of rules which increases exponentially when more input variables are involved. The performance is compared with other existing approaches in an application of mobile robot navigation and shown to be very competitive and improved results.
Keywords:	Apriori algorithm, Fuzzy C-means, Subtractive clustering, and TSK
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	ANALYZING BIOLOGICAL PROCESS ON GENE EXPRESSION DATASETS USING HEURISTIC SEARCH
Author:	P M BOOMA, DR.S.PRABHAKARAN
Abstract:	Mining micro-array gene expression data is an imperative subject matter in bioinformatics with extensive applications. Bio informative knowledge discovery from DNA microarrays become more essential in various disease diagnosis, drug development, genetic functional interpretation, gene metamorphisms etc., Recently biological information mining using clustering techniques were used for the analytical evaluation of gene expression. The expression of Nnumerous genes can be scrutinized concurrently using DNA micro-array technology. To develop the massive quantity of information enclosed in gene expression data, revision of existing work presented a biclustering algorithm, which presents local structures from gene expression data set. However, traditional single cluster model unable to mine precise information from large, and heterogeneous collection gene expression data. So the development of a new computational method is presented in this work to improve the analysis of gene expression data sets. In this work we first introduce the heuristic search for the standard biological process on physiological data of the gene expression. The physiological data consists of both physical and logical patterns of the gene expression datasets and the biological process of physical and logical pattern of gene expression datasets are analyzed through Heuristic search. Experimental evaluations are conducted for our heuristic search based analysis of biological process on physiological data with standard benchmark gene expression data sets from research repositories such as UCI in terms of size of gene expression datasets.
Keywords:	Gene Expression Datasets, Physiological Data, Biological Process, Heuristic Search
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	RIPENESS LEVEL CLASSIFICATION FOR PINEAPPLE USING RGB AND HSI COLOUR MAPS
Author:	BADRUL HISHAM ABU BAKAR, ASNOR JURAIZA ISHAK, ROSNAH SHAMSUDDIN, WAN ZUHA WAN HASSAN
Abstract:	An image processing technique is used to evaluate the level of ripeness of fresh pineapple. The classification of the fruit will be judged by the colour change on the skin of the pineapple. A sample image is taken using a digital single-lens reflex camera under a controlled environment. An algorithm is developed using MATLAB software to evaluate features based on an image of the pineapple. Features from the image are segmented according to RGB and HSI colour maps. This paper will introduce a technique to distinguish between unripe, ripe and fully ripe fruit. The maturity index varies from Index 1 through Index 7 where Index 1 is an unripe pineapple and Index 7 is a fully ripe pineapple. By using fuzzy logic classification, the result shows that 100 % accuracy for the fully ripe and 85 % for unripe and ripe level can be achieved.
Keywords:	Pineapple, Maturity index, Ripeness, Image processing, Fuzzy logic
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	TOWARD THE MATURITY OF SOFTWARE ENGINEERING: UNIVERSAL, FORMAL, AND MATHEMATICAL DEFINITION FOR VALUE AND OPERATION AS TWO BASIC CONCEPTS OF COMPUTING
Author:	BERNARIDHO I HUTABARAT, KETUT E PURNAMA, MOCHAMAD HARIADI
Abstract:	The presence of informal and redundant definitions of basic concepts of computing / programming prohibits the advances of software engineering. This problem is not addressed by all literatures of software engineering about formal methods. A paper by the present authors have provided partial solution by establishing Type and Object as two (out of four) disjoint basic concepts of computing and programming. This paper proposes the remaining two of the four basic concepts. With the substitution test, this paper shows that informality and redundancy of concepts in the widely referenced publications have led to another problem: the circularity of concept. Our proposed concepts have the opposite properties: formal, unique, and non-circular. The definitions are independent toward programming paradigms. The solution requires the formal definition for expression and operand, a semi-formal definition for statement; and the removal of synonyms like invoke, invocation, parameter and argument. Current standard of software engineering has five synonyms for operation, two synonyms for value, and two synonyms for operand. This paper proposes unique terms, proposes semi-formal and formal definitions for two basic concepts: operation and value. It gives way to advancing the software engineering as a mature discipline.
Keywords:	Basic Concept, Value, Operation, Expression, Statement
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	WIRELESS NETWORK USING OPTIMIZED COOPERATIVE SCHEDULING
Author:	D. ROSY SALOMI VICTORIA, S. SENTHIL KUMAR
Abstract:	In wireless networks for cooperative relaying, some nodes eavesdrop on the data send from the sender node relay it to the receiver node. We increase the capability of the network by optimizing relay node choosing and decreasing the count of hops. The topology control problem is then prepared as a distinct stochastic optimization trick that is decided using a stochastic estimation method. The existing systems effects in time delay in choosing alternative node due to node crash and inadequate ability to transfer the file. But each node in our proposed system encrypts and decrypts the file according to node capability to evade node crash. We choose the best node to transfer the file by assessing its impartial task and making the intervention set of the chosen relay node. The outcomes divulge that that our suggestion achieves better in the system connectivity, time factor and correct relay node choice than the multi hop communication. The performance of multi hop scheduling and Optimized Cooperative Scheduling (OCS) are compared in terms of probabilities, end to end delay, losses occurred and network capacity.
Keywords:	Wireless Networks, Optimization, Network Topology, Signal To Noise Ratio, Reliability
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	AN APPROACH TO OPTIMIZE WORKFLOW SCHEDULING FOR CLOUD COMPUTING ENVIRONMENT
Author:	P. KUMAR, SHEILA ANAND
Abstract:	Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of distributed computing resources. Workflow scheduling is one of the key issues in the management of workflow execution. The scheduling process maps and manages the execution of the inter-dependent tasks on the distributed resources. Scheduling of workflows is a challenging task especially when many workflows are considered. Scheduling algorithms are required to implement the workflow scheduling strategies and also for automating the process of scheduling. Proper scheduling can have significant impact on the performance of the system and the user’s service requests have to be provisioned with minimal management effort or service provider interaction. This paper presents workflow scheduling for cloud environment based on Artificial Bee Colony algorithm. The objective is to achieve optimization of server utilization and overall computation time to arrive at an efficient scheduling of tasks and services. The proposed work was implemented and tested and the results are presented.
Keywords:	Workflow, Workflow Scheduling, Cloud, Optimization, ABC
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	OPTIMAL DESIGN OF POWER SYSTEM STABILIZERS CONTROL FOR MONOMACHINE AND MULTIMACHINE USING INTELLIGENT CONTROL TECHNIQUES -FUZZY LOGIC-
Author:	OUISSAM BELGHAZI , MOULAY RACHID DOUIRI , MOHAMED CHERKAOUI, MOHAMMED TAALABI
Abstract:	The stability of power electrical networks is a key factor for the delivery of high quality energy. A power system stabilizer (PSS) is designed to deliver a supplement excitation signal to a synchronous machine, to limit frequency oscillations. Frequency oscillations are consequences of either modifying the functioning point, or short circuits. Since power systems are highly non-linear systems, with configurations and parameters that change with time, the Conventional power system stabilizers (CPSS) are designed for a single functioning point. Their performances decrease when the functioning point is modified. In this paper, a fuzzy expert system (fuzzy power system stabilizer: FPSS) is designed to limit frequency oscillations of a power electrical network. Only 25 rules (comparatively to 49 rules of other works) were used to assure better performances than CPSS. Simulation tests include varying functioning points and short circuits.
Keywords:	Fuzzy expert system, Synchronous machine, Electrical power network, Power system stabilizer
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text

Title:	BELBIC BASED HIGH PERFORMANCE IPMSM DRIVE FOR TRACTION
Author:	A.SHAKILABANU, Dr.RSD.WAHIDABANU
Abstract:	This paper proposes a brain emotional learning based intelligent controller (BELBIC)for Interior Permanent magnet synchronous motor (IPMSM) drives used for traction application. The IPMSM is a suitable motor for traction because of its brushless, wide constant speed-power region and low power-loss operation. The operation of the BELBIC is based on the emotion processing mechanism in the brain. This intelligent control is stimulated by the limbic system of the mammalian brain. Dual feedback and online tuning of emotional controller assures enhanced performance of the drive system. Dual loop adjustable speed drive system is proposed in this paper for traction application. The conventional PI controller controls the speed but does not guarantee the stability of the machine during the load variation. PI controller makes the system unstable by windup action. In this paper novel methods such as the Fuzzy PI controller and BELBIC are proposed to improve stability. Current is controlled by PI controller and speed is controlled by Fuzzy PI controller and BELBIC. Speed and torque performance of the machine is improved by the Fuzzy PI controller and BELBIC compared to conventional PI controller in the IPMSM drive system.
Keywords:	PI, IPMSM, PWM, Fuzzy PI controller and BELBIC
Source:	Journal of Theoretical and Applied Information Technology November 2013 -- Vol. 57. No. 3 -- 2013
Full Text