		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
June 2014 | Vol. 64 No.3

Title:	KNOWLEDGE EXTRACTION METHOD USING STOCHASTIC APPROACHES IN GOOGLE MAPS
Author:	PARIVALLAL R, NAGARAJAN B
Abstract:	Develop a system to extract knowledge from real images are challenging research work. To extract knowledge from the Google map first authors apply the image analysis technique to the Google maps. Authors develop a system to extract knowledge from Google map image, by using this system any user can locate the place and can identify number of objects in an image. By applying image segmentation technique, partitioning or subdividing an image into multiple meaningful regions or sets of pixels with respect to a particular application. In image analysis system, Image segmentation is an important component. There are many image segmentation techniques; one of the most important techniques is marking techniques. This method transform original image into mark segmented image. After marking the object find centroids points for the each identified object then in the result apply into the spatial data mining technique to extract knowledge. In this paper, define a stochastic approach for image analysis to object identification from Google map using Matlab.
Keywords:	Image Analysis, Image Segmentation and Marking
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text

Title:	SEMI-SUPERVISED INTERACTIVE IMAGE RETRIEVAL METHOD BASED ON AVERAGE ABSOLUTE DEVIATION
Author:	K. VENKATASALAM, Dr. P. RAJENDRAN
Abstract:	Content Based Image Retrieval has recently gained more attention because of its number of applications in Image Management, Medical databases and Web search. A wide range of solutions based on relevance feedback technique have been implemented in the recent past to handle various issues in CBIR. All the existing feedback technique gives privilege to user�s view point for semantic analysis of the Image. Semantic Analysis of the Image can also be done by quantifying the lower level features. In this paper, we propose a statistical based method known as Average Absolute Deviation is used to quantify the gray scale information in the ROI image. The acquired image has been processed to extract two different feature vectors, one consisting of gray scale image and other one consisting of Gabor image of the gray scale intensity. The extracted ROI image from the acquired image is divided into arbitrary number of parts according to the size of the image. This AAD method quantifies the feature information of the sub image of the both ROI image and filtered ROI image. Matching between Query Image and Reference Image is done based on Euclidean distance. The performance evaluation of this proposed method is analyzed by comparing it with the existing methods in the literature to show the achievement in terms of accuracy and processing speed.
Keywords:	Image Retrieval, Deviation, ROI, ADD, Accuracy, Processing Speed
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text

Title:	SECURE EMBEDDED WEBSERVER WITH INTERNET CONTROL MESSAGE PROTOCOL
Author:	J.JAYACHANDRA BENSAM, Dr.T.JAYASINGH, Dr.S.RAVI
Abstract:	Embedded system based real time process control and monitoring requires several critical issues to be intrinsically taken care to avoid fatal error. Issues of concern include avoiding OS crash, avoiding fragmented frames, place proper section of code in critical section, implement the different activities as tasks, etc. In this paper, an embedded webserver using LPC1768 is implemented using Internet Control Message Protocol (ICMP) and the algorithms are written such that, OS crash due to ICMP echo message limit violation, is avoided. The ICMP frame length is monitored and only unfragmented frames are received.
Keywords:	ICMP, Secure Transmission, Network Speed, Error Reduction, Ping of Death
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text

Title:	PAPR REDUCTION TECHNIQUES IN OFDM SYSTEMS USING DCT AND IDCT
Author:	S. SUJATHA P. DANANJAYAN
Abstract:	Orthogonal frequency division multiplexing (OFDM) has gained much popularity in the field of wireless communication because of its ability to transfer the data at higher rate, high bandwidth efficiency and its robustness to multipath. Since OFDM has high Peak to Average Power Ratio (PAPR) as major limitation, many techniques were proposed to reduce it. In this paper, a DCT based modified selective mapping (SLM) technique is proposed to reduce the PAPR of the transmitted signal and its PAPR reduction performance compared with that of IFFT based modified SLM technique, IDCT based modified SLM technique and IDST based modified SLM technique. The proposed technique for PAPR reduction grants an improvement over the existing IFFT.
Keywords:	OFDM, PAPR, Selective Level Mapping, Discrete Cosine Transform, IDCT, IDST
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text

Title:	FUSION AFFINE MOMENT INVARIANTS AND WAVELET PACKET FEATURES SELECTION FOR FACE VERIFICATION
Author:	K. MEETHONGJAN, M. DZUlKIFLI, PHILL KYE REE, Mi Yong Nam
Abstract:	Face recognition under changing lighting conditions is a challenging problem in computer vision. The effect of pose and illumination on face images result in a low accuracy rate in the face verification system. In this paper, we proposed a new framework for solving the above problem and increase the recognition rate of the system. This framework performed on a two dimensional (2D) grayscale face dataset based on the combination scheme that consists of the Voronoi diagram (VD), wavelet packet transform (WPT), affine moment invariants (AMIs) and radial basis function (RBF). The preprocessing technique consists of square morphological, Gaussian low-pass filter, median filter, and histogram equalization, which is applied to solving the problem of pose and illumination on facial images. The face crop is obtained with an arbitrarily window template that is designed by using the distance of eyes, nose, and mouth. All face images reduced the information by transformation with the WPT. The AMIs were applied to select the unique features that are used to classify and verify on the RBF neural network. This work was used on the bed face dataset for experimental use, which yielded good recognition rates and was easily implemented when compared with another technique. The result showed the efficiency of the wavelet coefficient and affine moment invariant features that can be used to verify an image lacking illumination.
Keywords:	Face Recognition; Voronoi Diagram; Wavelet Packet Transform; Affine Moment Invariants: Feature Selection
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text

Title:	IMPACT OF SHOPPER MARKETING ON PURCHASE DECISIONS OF INFORMATION TECHNOLOGY DEVICES FOR PERSONAL USE BY INDIAN CONSUMERS
Author:	D.DAVID WINSTER PRAVEENRAJ, J.ASHOK
Abstract:	The main objective of this study is to analyze the impact of shopper marketing elements on the purchase decisions of the Indian consumers in purchase of Information Technology Devices. The study focuses on the purchase behvaiour of Indian consumers in the purchase of domestic hardware devices like desktops, laptops, Smart phones and Tablets. This study has also taken into consideration about the purchase of peripherals like printers, modems etc Consumer behavior is an important consideration by any marketer when constructing a marketing plan. The important phase of purchase behavior exhibited by consumers about which every marketer would be eager to know and influence is the purchase decisions made by them. This article is discusses the impact of some of the elements of shopper marketing on purchase decisions made by Indian consumers in purchase of Information Technology Devices. 250 respondents which visited a retail outlet were interviewed about the role the elements like store atmospherics, in-store promotions and the sales persons played on influencing their purchases. Personal interview method was adopted using a structured questionnaire as a tool for data collection. A model was proposed and validated through Structural Equation Modeling. The result of the study shows a direct causal relationship of these shopper marketing elements on the purchase decisions of the consumers.
Keywords:	Information Technology products, Sales persons, In-store Promotions, Atmospherics, Structural Equation Modeling
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text

Title:	ASSESSMENT OF INNOVATION VALUE CHAIN IN ONE OF MALAYSIA PUBLIC RESEARCH INSTITUTES AND GOVERNMENT AGENCIES
Author:	ISHAK,I.S., ALIAS,R.A., ABU HASSAN,R., BASARUDDIN,S., SURADI,Z
Abstract:	Innovation has long been recognized as an important driver and cultivator for organization growth and production of quality new product and services. There are several innovation measurement models or frameworks that can be used to assess innovation. Innovation value chain is one of the assessment tools that can be used to assess innovation process in a given organization. The innovation value chain assessment finding can be used to help organization identify the weaknesses of the innovation process in the organization. This paper presents the status of innovation value chain in one of Malaysia Public Research Institutes and Government Agencies and proposes guidance on how to improve on the identified weaknesses. A survey questionnaire was sent to 140 staffs in an organization representing one of Malaysia Public Research Institutes and Government Agencies. The finding of the study shows that there existed an innovation culture in the selected organization which promotes innovation within the organization. However, they need to improve on some of areas related the processes along the idea generation, conversion and diffusion phase. The result of this research shows that there existed weaknesses and recommends a guidance that could be beneficial for organization that have same problem scenario.
Keywords:	Innovation, Innovation Value Chain, Innovation Management Improvement, Research Institutes, Government Agencies
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text

Title:	CONTENT-BASED SEMANTIC WEB SERVICE DISCOVERY, AN EMPIRICAL ANALYSIS WITH IMPLEMENTATION
Author:	A.GNANASEKAR, R.M.SURESH
Abstract:	Web Service discovery and composition is one of the key objectives of Service Oriented Architecture (SOA) which provides a loosely-coupled environment and enables flexible assembly of existing web services. Service discovery plays a vital role in the overall process of the service discovery and composition. The Web Ontology Language for Services (OWL-S) has emerged as the de facto standard for implementing business process from existing semantic web services. The semantic discovery is a challenging problem and attracts much attention both from industry and academia. This work focuses on the semantic web service discovery using empirical analysis.
Keywords:	Semantic Web Services, Service Discovery, Ontology, Service Oriented Architecture, OWL-S
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text

Title:	SECOND PRICE AUCTIONING FOR EFFECTIVE UTILISATION OF GRID RESOURCES
Author:	THIRUNAVUKKARASU, G.K.S. KARUPPASAMI
Abstract:	In dynamic environments, if the number of users gets increased, then the workload increases thereby making the management of resources a tedious task. This demands the utilization of economical grid computing model for effective allocation of resources. In the proposed work, a second price auction mechanism is considered to employ a pricing mechanism that is incentive compatible. Such mechanisms ensure that the users� self-interests are maximized when they honestly reveal their preferences to the allocation mechanism. It can further provide powerful guarantees about optimal user behavior and can deliver highly efficient allocations. The method is very efficient and also it elicits honest information from the participants thereby successfully managing the resource allocation in the Grid environment. A Gossip based mechanism is also considered in the proposed work in order to reduce the overheads caused by the waiting queues
Keywords:	Auction, Grid, Economic Model, Resource Scheduling, Gossip.
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text

Title:	ENERGY BASED SPECTRUM SENSING, POWER SPECTRUM ESTIMATION AND PAPR ANALYSIS FOR COGNITIVE RADIO NETWORKS
Author:	B. SUSEELA, D.SIVAKUMAR
Abstract:	An electro magnetic spectrum is the source for all wireless communication. However, communication in this medium is often interrupted by complications such as hidden terminal problem. noise uncertainty and channel uncertainty. In order to provide an efficient solution, in this paper, we propose an energy based spectrum sensing, power spectrum estimation and analysis for cognitive radio networks. In this technique, two hypothesis are used to identify the presence and absence of primary users in the channel. When the channel is not used by primary users the slots are allocated for secondary users. Further, power spectrum is estimated by means of five different methods. Finally, PAPR analysis is performed using the complementary cumulative distribution function (CCDF). The proposed technique is simulated in MATLAB.
Keywords:	Electro Magnetic Spectrum, CCDF, PAPR, Wireless Communication, Power Spectrum
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text

Title:	SENSITIVITY ANALYSIS OF CREW SKILL TO MAINTENANCE COST AND RELIABILITY FOR MAIN ENGINE SUPPORT SYSTEMS USING SYSTEM DYNAMICS
Author:	DIDIET SUDIRO RESOBOWO, LAHAR BALIWANGI, KETUT BUDA ARTANA, AAB DINARIYANA
Abstract:	System operation and maintenance always depends on system components� characteristic. Further, components which build a system yield unique system behaviors beside the components operation and maintenance condition. The objective of paper presented here is to identify and understand behavior of component and as well behavior of system under various operation and maintenance policies and to understand the sensitivity of crew skill in determining the reliability and maintenance policy. The model developed here can be directed to give maintenance policy options to the management as decision maker and further, to provide picture on impacts of those options. This work presents a user friendly and easy model to simulate the effect of various operation and maintenance plans to the system reliability, operation cost, and maintenance cost, as well as the sensitivity of crew skill in affecting the maintenance schedule and the system reliability. For each plan of operation and maintenance, this simulation models failure rate, time to maintain, decision whether to maintain or not, degree of how good maintenance done, effect of component after maintenance to the system, maintenance cost, and operation cost. A case study of main engine cooling system is presented using previous works data [1]. The simulation shows prognostic results for a given scenario of system configuration, operation, and maintenance plan.
Keywords:	System Dynamic, Ship Maintenance, Crew Skill, Reliability, Maintenance Cost
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text

Title:	AN ANALYSIS FOR A CLUSTER TREE ZIGBEE TOPOLOGY
Author:	DR.MAYYADA HAMMOSHI, DR.AWNY SAYED
Abstract:	ZigBee or IEEE 802.15.4 is considered as a unique communication standard developed for wireless personal area network. Zigbee is a low-rate (LR) communication network which provides flexibility, very low power consumption, ease of installation, reliable data transfer, short range operation, acceptable battery life, low data rate in an ad hoc self-organizing network among inexpensive fixed, and portable moving devices. It is developed for applications with relaxed throughput requirements which cannot handle the power consumption of heavy protocol stacks. Zigbee can be embedded in a wide range of products and applications across consumer, commercial, industrial and government markets. Zigbee can be considered as a promising technology which has a strong impact of the development of Wireless Sensor Network since this technology is taking care of the power energy and the communication overhead. In this paper, a cluster tree topology for 3 PAN coordinators supported by OPNET 17.5 is implemented. The aim of the study is to tests mobility, nodes leaving a network, and nodes joining a new network by measuring number of performance factors. The measured factors are: throughput, delay, load, data traffic received, end to end delay, number of hops and data traffic sent. The results showed that the PAN 2 behaved as the best tree among the cluster tree topology when compared with the other PAN s networks. The other studied issue is the mobile nodes behavior and moving among the PANs.
Keywords:	ZigBee, WPAN, Tree, Mesh, Star, cluster tree, WSN
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text

Title:	INTELLIGENT USER INTERACTIVE MODEL FOR REAL TIME TEXT-GRAPHIC GENERATION
Author:	S.DEEPA, Dr.P.KUMAR
Abstract:	Real-time graphic generation from text inputs has visited by various researchers and many methods have been proposed earlier in this decade to simplify the task of graphic generation. But still the problem of providing sophisticated and accurate has not been met with any of the solution provided. We propose an intelligent interactive framework to generate graphics by processing the text input and the text processor interactively acquires the necessary parameters of the object to be generated on graphics which supports the user on generating quality graphics. The presented model has three components namely interactive text processor, Hybrid Property Manager and Graphics Generator. The hybrid property manager maintains multi object properties in hybrid nature using which the text processor acquires the necessary values for the properties of any object mentioned. Upon receiving a text input the interactive text processor identifies the set of objects mentioned in the input, and for each object provided it requests the level by level property value acquisition using hybrid property manager. The acquired values of object properties will be given for the graphic generator, which generates graphics based on object properties. The proposed model has produced higher accurate results and supported user, to make graphics easier.
Keywords:	Text to Scene, Story Visualization, Graphic representation, Hybrid Object Properties
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text

Title:	A NEGATIVE ASSOCIATION RULES FOR WEB USAGE MINING USING NEGATIVE SELECTION ALGORITHM
Author:	R. GOBINATH, M. HEMALATHA
Abstract:	The immense capacity of web usage data which survives on web servers contains potentially precious information about the performance of website visitors. Pattern Mining involves applying data mining methods to large web data repositories to extract usage patterns. Due to the emerging reputation of the World Wide Web, many websites classically experience thousands of visitors every day. Examination of who browsed what can give necessary approach into the buying pattern of obtainable customers. Right and timely decisions made based on this acquaintance have helped organizations in accomplishing new heights in the market. The aim of discovering rules in Web log data is to obtain information about the navigational behavior of the users. This can be used for marketing purposes, dynamic creation of user profiles, finding user pattern navigation, etc. This suggested study, particularly focuses on examining an efficient algorithm for mining negative association rules from the clustered weblog navigational patterns. The algorithm indicates traditional association rules to include negative association rules to be an alternative for using positive association rule itself. When mining negative association rules take place, the same minimum support vestibule is used to mine frequent negative item sets. The rules gathered in such a manner are bridged by applying a negative selection algorithm, which helps in discovering all convincing negative association rules quickly and solves some of the limitations in traditional association rule mining.The experimental result reveal the proposed work to be highly effective.
Keywords:	Data Mining, Web mining, Web Usage Mining, Association Rule Mining, Negative Selection Algorithm.
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text

Title:	FACE RECOGNITION USING SEMI DISCRETE DECOMPOSITION AND FLDA FOR SINGLE TRAINING IMAGE PER PERSON
Author:	C.RAJAKUMAR , DR.K.R.SHANKAR KUMAR
Abstract:	PCA and FLDA are mainly used in face recognition and feature extraction. PCA uses eigen vector and FLDA uses within class scatter matrix and between class scatter matrix. When within class matrix becomes singular, it cannot be evaluated. A new method called semi-discrete decomposition is used in single image per person problems. The performance of this method is tested on 4-data bases, namely ORL, UMIST, Poly u-NIR, YALE. The proposed method performs better than SVD based approach and QRCP based approach in terms of recognition rate with training times in two times higher than QRCP.
Keywords:	Face recognition, Fisher Linear Discriminant Analysis, Semi Discrete Decomposition, Singular Value Decomposition.
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text

Title:	VLSI DESIGN OF FLOATING POINT ARITHMETIC & LOGIC UNIT
Author:	DHANABAL R , BHARATHI V, G.SRI CHANDRAKIRAN , BHARATH BHUSHAN REDDY .M
Abstract:	In most modern general purpose computer one or more Floating Point Units are integrated with the CPU, however many embedded processors, especially older designs, do not have hardware support for floating point operation. In this paper, the design of DSP module such as floating point ALU is presented. The functions performed are handling of floating point data and converting data to IEEE 754 format and can perform arithmetic operations like Addition, Subtraction Multiplication and Division. The Simulation tool used is Model Sim for verifying functional simulation. The tool for synthesis and power analysis is Quartus II
Keywords:	XOR, Full adders, XNOR, PTL, XOR-XNOR
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text

Title:	IMPLEMENTATION OF DATAWAREHOUSE, DATAMINING AND DASHBOARD FOR HIGHER EDUCATION
Author:	RUDY, EKA MIRANDA, ELI SURYANI
Abstract:	Today, most of the higher education institutions have been supported by integrated information systems for all activities, such as lecturer recruitment, marketing, student admission, student registration, academic operations, and alumni system. Higher education information system generates many transactional data; and the amount of those data is increased day by day, but the use of data has not been explored optimally. Each data stored at data storage media is issued for separate purposes. On the other hand, a higher education organization needs to gain overall knowledge from all data. Based on these conditions, organization needs an analytical tool to extract information and discover valuable knowledge from huge amount of data. These processes require more processing time and more complex process. The purpose of this research was to design the data warehouse model and dashboard for analytical tool and use data mining technique for higher education institutions. The research method began with designing the knowledge needs; designing and developing transformation model to data warehouse; using data mining techniques and designing dashboard for analytical tool. The obtained result was the model of data warehouse, data mining and analytical tool for higher education institution that will improve institution�s performance, and help them to improve analytical and decision making process.
Keywords:	Datawarehouse, Data Mining, Analytic Tools, Higher Education, Dashboard
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text

Title:	LOW POWER AND AREA- EFFICIENT HALF ADDER BASED CARRY SELECT ADDER DESIGN USING COMMON BOOLEAN LOGIC FOR PROCESSING ELEMENT
Author:	R DHANABAL, DEEPIKA SRIVASTAVA, BHARATHI V
Abstract:	Carry select adder is the one among the fastest adder used in the data processing element however conventional carry select adder(CSLA) are still area-consuming due to multiple pair of Ripple carry adder structure. This proposed work is solely dedicated to develop a low power and area efficient half adder based carry select adder architecture (CSLA) using common Boolean logic (CBL). It only needs one Half-adder to perform summation operation for carry zero and common Boolean logic (CBL) for carry one respectively. Half adder has been designed using one XOR gate and one AND gate. CBL needs only one OR gate and one NOT gate. Through the multiplexer, we can select the correct output in the final stage according to the logic state of the carry-in- signal. Based on this modification 8-bit, 16-bit, 32-bit, 64-bit square root carry select adder (SQRT CSLA) architecture has been developed and compared with the regular SQRT CSLA structure and modified SQRT CSLA has been developed using binary to excess-1 converter (BEC). This proposed design on an average reduces area by 53.77%, power consumption by 93% and power-delay product (PDP) by 75.71%, but with some amount of increase in the delay as compared with regular SQRT CSLA architecture. The result analysis shows that the proposed CSLA architecture achieves better performance in term of area, power and power-delay product than the regular and modified SQRT CSLA structure.
Keywords:	ASIC, CSLA, RCA, BEC, Boolean-logic, Area-efficient, Low power.
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text

Title:	SECURE KEY EXCHANGE IN NEW MULTI-PARTY IDENTITY-BASED AUTHENTICATED KEY AGREEMENT PROTOCOL
Author:	P.R.VIJAYALAKSHMI , K. BOMMANNA RAJA
Abstract:	Today�s computing environments such as internet conferencing, distributed simulation, multi-user games, and many more applications involve dynamic peer groups. Communication among dynamic peer groups must be secure and, at the same time, fast and cost effective. In an internet conference, all participants together establish a common conference key to enable multi-party and secure exchange of messages. The proposed protocol is executed by considering the basic login issues, session validation and formulated key generation with balanced multiple tables. The secret information of a user cannot be determined from the corresponding public information, therefore ensures privacy. Also, computing using bilinear mapping imposes a greater computational cost on a protocol, to improve the efficiency the bilinear mapping is utilized only during the session key computation.
Keywords:	Conference Key, Dynamic Peer Groups, Secure Communication, Bilinear Mapping
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text

Title:	FROM A LITERATURE REVIEW TO A CONCEPTUAL FRAMEWORK FOR AUTOMATION KNOWLEDGE ACQUISITION IN SUPPLY CHAIN MANAGEMENT
Author:	MOHAMMAD ZAYED ALMUIET, JUHANA SALIM
Abstract:	In supply chain management, both academic and corporate interest concerning knowledge acquisition has shown an increasing trend in the past few years. This is evidenced by the significant amount of research written and published in journal special issues. In response to this trend, the present study has two objectives � first, it offers to provide an overview of literature concerning knowledge types and knowledge acquisition in the context of supply chain management discussed in 47 papers from the years 2001 to 2013. Second, it develops a conceptual framework that summarizes this field of research into four parts. Initially, knowledge types and AI techniques are highlighted, which leads to two specific perspectives: (1) supply chain knowledge, and (2) automation of knowledge acquisition for supply chain management. Companies� practitioners and academics may avail of the review as it provides an overview of the fundamental research streams in the area. It then explains certain features of knowledge acquisition in the context of supply chains and the existing research limitations which could lead to future studies.
Keywords:	Knowledge Acquisition, Characteristics of Knowledge, Supply Chain Knowledge, Knowledge Types, Artificial Intelligent Techniques
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text

Title:	THE DESIGN OF KNOWLEDGE MANAGEMENT SYSTEM MODEL FOR SME (UKM)
Author:	YULIANA LISANTI, DEVYANO LUHUKAY
Abstract:	Studies on knowledge management showed that the knowledge management plays an important role to improve SME�s performance, as knowledge or Information is one of innovation driver that will support the SME competitiveness. Therefore, in this study, together with KOPWANI UKM (SME) the team has designed a solution to manage the SME knowledge, called as SME Portal, which is a Knowledge Management System for SME. Furthermore, we also combined the Knowledge management system with social networking capability, as SME Portal members will get more benefit from the system namely to promote their products, to open business opportunities by extending their business networking, to find solution of their business problems.
Keywords:	Knowledge Management, Information, SME, Innovation, Knowledge Management System, SME Portal, networking
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text

Title:	METAL LINE DETECTION: A NEW SENSORY SYSTEM FOR LINE FOLLOWING MOBILE ROBOT
Author:	M.Z.A RASHID, H.N.M Shah, M.S.M Aras, M.N.Kamaruddin, A.M. Kassim, H.I.Jaaafar
Abstract:	This paper presents a new type of line following robot that uses metal sensor to detect metal line and maneuver around based on that line. The paper focused on developing the hardware model of automated guide vehicle (AGV) system and integrating it with metal detection sensor. The system performance is measured in a straight line movement and when the robot turns at specific degrees.The metal line following robot can be used to move objects in daily life operation, warehouse operations or manufacturing facility to any desired location automatically. A metal line with certain length can be placed on the desired floor to indicate the path that the robot requires to move. Based on the experimental studies, it showed that the mobile robot can maneuver and track the metal line that is attached on the floor by utilizing three inductive proximity sensor located in front of the robot. This sensory system can be used as alternative sensor instead of using line following sensor which normally based on the infrared proximity detector. The line following robot that operates based on the metal line capable to overcome the problem of different light intensity reflection.
Keywords:	Mobile Robot,Metal Line Detection System, Inductive Proximity Sensor,Line Following.
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text

Title:	ENHANCED SCENARIO-BASED EXPERIMENTS TO OVERCOME BYZANTINE ATTACKS IN MANET
Author:	G.MURUGABOOPATHI, D.RAJALAKSHMI, R.JAYANTHAN
Abstract:	MANETs are unplanned, self-configuring network composed of mobile nodes that utilize mesh networking principles for inter-connectivity. MANETs are IP networks made up of a collection of wireless and mobile nodes communicating via radio links that can temporarily form a network whenever they coexist in the same neighbourhood without any fixed infrastructure such as base stations for mobile switching and no centralized administration. Generally the nodes have a limited transmission range, such that each node seeks some assistance of its neighbouring nodes to forward packets. The main problem in MANETs is the security which is because of the open nature and no fixed topology of the MANET environment. One of the primary goals of designing secure routing protocols is to prevent a compromised node from disrupting the route discovery and maintenance mechanisms. However, this added security comes at the cost of performance. This paper evaluates the performance of a secure routing protocol to overcome byzantine attacks using scenario-based experiments.
Keywords:	Mobility, Ad-hoc, Security, Routing, Cryptography, MANET
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text

Title:	HARMONIC OPTIMIZATION IN CASCADED MULTI LEVEL INVERTER USING FIREFLY ALGORITHM
Author:	TAMILSELVAN R, PADMATHILAGAM V
Abstract:	This paper presents the elimination of selected harmonics in a Cascaded Multilevel Inverter (CMLI) considering the non-equality of separate DC sources and by using Firefly Algorithm. As these equations are non-linear, asymmetric and transcendental in nature, there may exist simple, multiple or even no solution for some modulation indices │M│. Solving a non-linear transcendental equation set describing the harmonic elimination problem with non-equal DC sources using the conventional methods reaches the limitation of contemporary computer algebra software tools. The approach proposed in this paper using firefly algorithm can be applied to solve the problem in simpler manner even when the number of switching angles is increased when the determination of these angles using the conventional approach is not possible. To find feasible switching angle for all modulation Indices, to get quality output voltage by reducing the parameters like Total Harmonic Distortion (THD), Harmonic Distortion (HD), Crest Factor (CF) and Distortion Factor (DF) and to reduce the analysis time Firefly algorithm is used. The results are shown graphically for better understanding and to prove the effectiveness of the method. An eleven-level cascaded multilevel inverter is simulated in MATLAB and presented to validate the computational results.
Keywords:	Cascaded Multilevel Inverter, Firefly Algorithm, Selective Harmonic Elimination (SHE).
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text

Title:	MODELING AND SIMULATION OF SHUNT APF WITH HYSTERISIS AND FUZZY LOGIC CONTROLLER WITH AND WITHOUT FAULTS
Author:	BHARATH KUMAR NARUKULLAPATI, P.V.S.SOBHAN, CH.N.NARSIMHA RAO, A.SRIHARIBABU
Abstract:	Active power filtering constitutes one of the most effective proposed solutions for solving the harmonics problem in electric power systems. A shunt active power filter that achieves low current total harmonic distortion THD, reactive power compensation, and power factor correction is presented in this paper. The topology is based on IGBT's VSI, intended to damp harmonics produced by a diode rectifier. The notch filter method, consisting solely of two serial band-pass filters, is used for reference current calculation, and the application of hysteresis band controller and fuzzy logic controller for better active filter current control accuracy. The compensation process is based on sensing line currents only, an approach different from conventional methods, which require sensing of harmonics or reactive power components of the load. Simulation works of the studied model, using SIMULINK under MATLAB software, revealed satisfying results in transient and steady states.
Keywords:	Shunt Active Power Filter (SAPF), Voltage Source Inverter (VSI), Fuzzy Logic Controller, Hysteresis Band Controller, Total Harmonic Distortion (THD), Notch Filter.
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text

Title:	DESIGN & DEPLOYMENT OF TESTBED BASED ON ICMPv6 FLOODING ATTACK
Author:	REDHWAN M. A. SAAD, 1SELVAKUMAR MANICKAM, ESRAA ALOMARI, MOHAMMED ANBA, PARMINDER SINGH
Abstract:	One of the important protocols in IPv6 implementation is ICMPv6 which is used for neighbor and router discovery. However, this protocol also could be used by attackers to deny network services like ICMPv6 flood attacks which network decreases performance. In ICMPv6 flooding attacks detection, behavioural-based approaches, particularly suffer from the unavailability of the benchmark datasets. This can lead to the lack of precise results evaluation of ICMPv6flooding attack detection systems, comparison, and deployment, which originates from the deficiency of adequate datasets. Most of the datasets in the IPv6 field are from local environment and cannot be used on a large scale due to privacy problems and do not reflect common trends. They also lack some statistical features. Therefore, there is not any available benchmark dataset infected by ICMPv6-based foods for performing a Denial of Service (DoS) attacks against Web servers by using ICMPv6 flooding method. In addition, there is no Web access log infected by ICMPv6-based flood available for researchers. This paper presents the ICMPv6-based flooding attacks testbed to study the behaviour of ICMPv6 flooding attack as well as evaluating different solutions proposed for detecting ICMPv6-based flood of DoS attacks by various researchers.
Keywords:	ICMPv6 flooding attacks, Denial of Service attacks, IPv6 testbed Network.
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text

Title:	AN ENHANCED HOMOGENEITY MEASURE BASED SIGNAL VARIANCE ESTIMATION FOR SPECKLE REMOVAL IN ULTRASOUND IMAGES
Author:	NIRMALADEVI PERIYASAMY, ASOKAN RAMASAMY
Abstract:	Estimation of signal variance in noisy environment is a critical issue in wavelet based image denoising algorithms. As the estimation of signal variance involving all the coefficients in a sub-band is computationally inefficient, an adaptive homogeneity measure based on maximum likelihood approach is used to determine the weighted estimate of the signal variance. This estimation is carried out by exploiting the intra scale and inter scale dependencies that exist among the wavelet coefficients in the same scale and at adjacent scales. A novel inter scale dependency measure is proposed in this paper. This measure is multiplied with the noisy detail subbands. The resulting subband matrix is used for signal estimation. An adaptive thresholding function instead of soft thresholding function with a subband adaptive Bayesian threshold is used. The adaptive thresholding function removes the fixed bias that results from soft thresholding operation between the denoised and original coefficients, thus preserving the original features effectively. Thus the proposed approach improves the denoising performance by using an adaptive threshold estimated via a locally estimated signal variance. Various performance measures are experimentally calculated and compared with several filters.
Keywords:	Homogeneity Measure, Inter And Intra Scale Dependencies, Wavelet Thresholding, Speckle Noise, Ultrasound Images
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text

Title:	A SUPPORT VECTOR SIGNAL PROCESSING MODEL FOR HEART MURMUR BASED CLASSIFICATION WITH HARDWARE IMPLEMENTATION
Author:	P.S.RAJAKUMAR, S.RAVI , R.M. SURESH
Abstract:	A prototype of a simple and non-invasive system for remotely monitoring the heart sounds (improved phonocardiography) that includes heart auscultation monitoring /hearing is discussed. The frequency and component analysis are integrated with classification schemes to identify the normal and pathological heart sound patterns. The monitoring of the heart sound is an area of research and if interpreted effectively can be useful for clinical interpretation along with cardiac diagnosis like ECG, Phonocardiography and other similar techniques. In this research, frequency, spatial, dimensional data reduction analysis/combined with popular classifier schemes to identify normal and pathological heart sound. The objective of the research work is to provide interpretation, which is of great use to the medical experts. In our research work, the audio part happening in the cardiac cycle is extracted. Hardware implementation with linux kernel is also presented.
Keywords:	Mermur Recognition, Vector Signal Processing, Heart Sound, Hardware Implementation.
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text

Title:	AN EFFICIENT FLOATING-POINT MULTIPLIER DESIGN USING COMBINED BOOTH AND DADDA ALGORITHMS
Author:	DHANABAL R, BHARATHI V, NAAMATHEERTHAM R SAMHITHA, 4PAVITHRA S, PRATHIBA S, JISHIA EUGINE
Abstract:	This paper includes the design of efficient double precision floating-point multiplier using radix-4 Modified Booth Algorithm (MBE) and Dadda Algorithm. This hybrid multiplier is designed by using the advantages in both the multiplier algorithms. MBE has the advantage of reducing partial products to be added. Dadda scheme has the advantage of adding the partial products in a faster manner. Our main objective is to combine these two schemes to make the multiplier design power efficient and area efficient. The floating-point multiplier is designed using Verilog HDL. The design is simulated using Altera ModelSim and synthesized using Cadence RTL compiler in TSMC 45 nanometre technology. It is found that multiplier has reduced power and area and it consumes 4619.23 and 34880 .
Keywords:	Floating Point Multiplication, Dadda Reduction, Modified Booth, Computer Arithmetic
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text

Title:	AN EXPLORATION OF CHANGE DETECTION TECHNIQUES FOR IMAGES
Author:	SANTWANA SAGNIKA, SAURABH BILGAIYAN, SUBHASHREE MISHRA, BHABANI SHANKAR PRASAD MISHRA
Abstract:	Change detection refers to recognizing dissimilarities arising in the characteristics of an object, over a period of time. Widespread application of change detection in areas like remote sensing, machine vision, video compression, military reconnaissance, etc. has made it demanding area of research. In image processing, detecting changes is an essential and crucial component. Several techniques like image differencing, principal component analysis, object based methods, visual analysis, etc. have been applied successfully and some new techniques like clustering, probabilistic change detection, hyperspectral detection, etc. are currently under active research. This paper analyses various traditional and emerging techniques that efficiently detect changes in different kinds of images and explores the suitability of each method for respective areas.
Keywords:	3D Images, Change Detection, Hyperspectral Images, Image Processing, Multispectral Images, Object-Based Change Detection, SAR Images
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text

Title:	A NEW APPROACH TO TRUST EVALUATION FOR CLUSTER BASED MANETS
Author:	RAJKUMAR MYLSAMY, SUBRAMANIAN SANKARANARAYANAN
Abstract:	A Mobile Ad hoc NETwork (MANET) is a pool of independent, dynamic, wireless devices that forms a network, devoid of no permanent infrastructure. This inherent features and wireless nature of mobile ad hoc networks makes them vulnerable to a wide variety of attacks. To discover routes with trusted nodes, we propose an approach for constructing a route without malicious nodes. To forward packets through trusted nodes, this protocol evaluates various trust parameters of neighboring nodes. To prevent a node from same attack, a weight is calculated and assigned dynamically. Simulations are done using NS2 simulator. Our proposed approach has been analyzed and evaluated for performance metrics such as packet delivery ratio, control overhead, packet drop ratio, jitter and end to end delay. Dynamic weight assignment of individual trust parameters reduces end to end delay and control overhead resulting in less packet drop ratio and high packet delivery ratio. We compare our work with other clustering algorithms, which are CBTRP and 2ACK. Our analysis and simulation result clarifies that, the proposed work effectually identifies and isolates malicious nodes and it outperforms the other algorithms.
Keywords:	Mobile Ad hoc Network, Clustering, Network security, Privacy, Routing protocol
Source:	Journal of Theoretical and Applied Information Technology 30 June 2014 -- Vol. 64. No. 3 -- 2014
Full Text