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

Journal of Theoretical and Applied Information Technology
November 2014 | Vol. 69 No.1

Title:	PRIORITIZATION OF CENTRALITY MEASURES IN PROTEIN-PROTEIN INTERACTON NETWORK FOR DISEASE GENE IDENTIFICATION
Author:	APICHAT SURATANEE
Abstract:	For several years, many studies attempt to discover biological processes of disease mechanisms. Nevertheless, they are still far from completeness of understanding. This problem is caused by the complexity of complex diseases. To solve this problem, many computational methods have been developed to predict uncovered disease genes. A lot of genetic information from protein interaction network, gene expression, and genetic sequences has been integrated. With these approaches, a large number of candidate genes are produced increasingly. Therefore, a technique that can select only relevant genes is needed. Ranking techniques have been developed to prioritize the candidate genes. Still, the results are inconsistent among different methods. These incompatibilities might be caused from different types of features. In this study, we performed a prioritization analysis for investigating network topology features for predicting disease-related genes. Four standard network topological features were calculated on a protein-protein interaction network and examined with 46 groups of diseases. The features were ranked independently according to their values for a disease. Then, the performance of disease gene classification with each feature was calculated. The results showed high classification performance in three diseases with different network features. The closeness centrality showed a superior ability to classify disease genes in overall disease groups. Selecting relevant features can greatly improve the performance in disease gene classification.
Keywords:	Feature Prioritization, Disease Gene Identification, Protein-Protein Interaction Network, Network Topology Features
Source:	Journal of Theoretical and Applied Information Technology 10^th November 2014 -- Vol. 69. No. 1 -- 2014
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Title:	ANALYSIS OF DC-DC CONVERTER WITH MULTIPLIER CELLS FOR HIGH VOLTAGE GENERATION
Author:	K.J ANOOP, SAPAM ROSHINI DEVI, Dr. V.RAJINI
Abstract:	This paper emphasizes the design of a DC-DC converter to produce high voltage from a low input DC voltage by using multiplier cells instead of a transformer. The low input DC voltage is converted to AC with the help of four switches operating in two different frequencies. Further, this AC voltage is given to the voltage multiplier cells for desired high output DC voltage. The output DC voltage produced has high efficiency, high voltage gain, low ripple, low switching losses and less noise. Two independent frequencies operate in this system, one is known as modulating frequency and the other is alternating frequency which work in high level and low level respectively. A prototype of the proposed model is constructed and the output is compared with the simulated model. The model is again reconstructed by a feedback control for constant output with variable input voltages.
Keywords:	Voltage Multiplier, Multilevel Inverter, DC-DC Converter, High Voltage Gain, feedback Controller
Source:	Journal of Theoretical and Applied Information Technology 10^th November 2014 -- Vol. 69. No. 1 -- 2014
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Title:	COST EFFECTIVE SOLUTION FOR OPTIMAL PLACEMENT AND PARAMETER SETTING OF MULTIPLE UPFC USING PARTICLE SWARM OPTIMIZATION
Author:	K. KUMARASAMY, Dr.R. RAGHAVAN
Abstract:	The Unified Power Flow Controller (UPFC) is one of the most important Flexible AC Transmission System (FACTS) device which is used to improve the stability of the power system. The performance of the UPFC mainly depends upon the location and parameters setting of this device in the system. In this paper the location and parameter setting of the UPFC devices are found using Particle Swarm Optimization (PSO), such as to obtain improved voltage profile, minimal total system loss, minimal reactive power transfer and maximization of the stability limit. Further it proposes a cost effective objective function in which the coefficients of the system parameters in the objective function are so chosen that they reflect real time cost or penalty value. The effectiveness of the proposed objective function is tested in IEEE-30 bus test system with multiple UPFC devices. The results of optimal placement and size of UPFC using PSO with cost effective objective function and conventional objective function are compared. The cost effective objective function provides better results as compared to conventional solution.
Keywords:	FACTS, UPFC, Particle Swarm Optimization (PSO), Stability, Loadability
Source:	Journal of Theoretical and Applied Information Technology 10^th November 2014 -- Vol. 69. No. 1 -- 2014
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Title:	MULTI-HOP UNIFIED ROUTING ALGORITHM FOR ENERGY-CONSTRAINED NETWORKS
Author:	C.R.SAKTHIVEL AND DR.S.KARTHIKEYAN
Abstract:	The routing and scheduling policies suggest that do not necessitate clear knowledge of the information of the energy harvesting or the trafﬁc generation processes, and are able to dynamically learn and adapt to time variations in the physical and network environments, so as to deliver data rates that are optimal in the long term. This research acquire hops on ability of the energy storage devices at the individual nodes that is simply required for getting maximum throughput in the network and also to calculate the fraction of the throughput area is reached when the energy storage competence is under limit. Since energy is a limited resource, various energy-aware routing algorithms have been suggested to develop network performance. Thus, this research contributed here to develop a unified routing algorithm known as the Energy-efficient Unified Routing (EURo) algorithm that contains several combinations of these exceeding key elements and adjusts to varying wireless environments.
Keywords:	Multi-hop Routing, Wireless Ad-Hoc Networks, Energy Constrained, Energy-Efficient Unified Routing (EURo)
Source:	Journal of Theoretical and Applied Information Technology 10^th November 2014 -- Vol. 69. No. 1 -- 2014
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Title:	AN EFFICIENT IMAGE PROCESSING METHODS FOR MAMMOGRAM BREAST CANCER DETECTION
Author:	B.MONICA JENEFER, V.CYRILRAJ
Abstract:	Nowadays it is immediate need for best pre-screening tool to identify the abnormality of the mammogram images in the earlier stage itself. In this paper it is discussed about a tumor segmentation and classification algorithm from mammogram. The proposed approach concentrates on the result of two issues. One is the way to recognize tumors as suspicious regions may be very weak contrast to the background and the next is the way to concentrate properties which classify tumors. The proposed technique follows step by step procedures such as (a) Image Enhancement (b) Tumor Segmentation. (c) The extraction of properties from the segmented tumor region. (d) The utilization of SVM classifier. The improvement could be characterized as change of the image originality to a superior and more reasonable level. The mammogram enhancement can be obtained by removing the noise and improve the quality of the image using speckle noise removal and EM algorithm respectively. The most well-known division technique utilized is Modified Watershed Segmentation method. The features are extracted from the segmented tumor region and classify the regions utilizing the SVM classifier. The technique was tried on 100 mammographic images using MIAS and Apollo hospital based images. The system attained an Accuracy of 98%.
Keywords:	Mammogram, MIAS Database, Cancer Detection, Benign, Malignant, Mammogram Segmentation.
Source:	Journal of Theoretical and Applied Information Technology 10^th November 2014 -- Vol. 69. No. 1 -- 2014
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Title:	NEIGHBORHOOD-BASED SEGMENTATION OF BIOMEDICAL IMAGES USING BINOMIAL CLASSIFIER TREE
Author:	A. MOHAMED ANWAR, Dr. C. NELSON KENNEDY BABU
Abstract:	Manual segmentation by individual specialists on medical image dataset is time-consuming, expensive, and suffers from considerable inter and intra rater inconsistency. In addition segmentation is hard for the individual expert to combine the information from numerous portions and various channels when multi spectral data has to be examined. Unsupervised segmentation images as occlusions of textures, designed based on local histogram is well-suited to a broader class of images. The model proved that the local histograms were approximately the convex combinations of the value distributions of its component textures but did not provide with a richer characterization of textures and the pixel wise labeling consumed more time. Texture classification of images with multinomial latent model used a mixture density to obtain spatially smooth class segment. But better segmentation was not achieved for speckle noisy biomedical images and the texture classification of images increased the computational cost. To overcome the poor categorization of texture on medical images, the incorporation of neighborhood-based segmentation and binomial classifier tree-based sorting (NS-BCTS) is applied to demonstrate its utility in detecting the noisy speckle biomedical images in medical imagery. To start with, the neighborhood-based segmentation displays the features of rich set in terms of shape, position, color and neighborhood relations. The features extracted are then given as input to the binomial classifier tree-based sorting, with the data label obtained from the experts to minimize the time consuming process. The binomial classifier tree-based sorting examines each collective feature and labels it across the range to determine the computational cost. The experiment is conducted on biomedical image (i.e.,) lung cancer dataset with the factors such as time consumption, computational cost, running time, accuracy and feature categorization efficiency.
Keywords:	Segmentation, Neighbourhood-based segmentation, Binomial classifier tree-based sorting, Feature Categorization, Local value histograms, Medical imagery.
Source:	Journal of Theoretical and Applied Information Technology 10^th November 2014 -- Vol. 69. No. 1 -- 2014
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Title:	A FRAMEWORK FOR EDUCATIONAL DATA WAREHOUSE (EDW) ARCHITECTURE USING BUSINESS INTELLIGENCE (BI) TECHNOLOGIES
Author:	AZWA ABDUL AZIZ, JULAILY AIDA JUSOH, HASNI HASSAN, WAN MOHD RIZHAN WAN IDRIS, ADDY PUTRA MD ZULKIFLI, SHAHRUL ANUWAR MOHAMED YUSOF
Abstract:	Business Intelligence (BI) is the process of getting the right information to the right decision makers at the right time and in the right format. It is a platform that supports analysis, reporting and decision making. Educational Business Intelligence (EduBI) architecture utilizes BI technologies to integrate various sources of academic data into a single repository (Educational Data Warehouse – EDW). BI is a useful tool since it reinforces the process of performance and analysis evaluation that is required within all levels of educational environment. Nowadays, there are various BI products ranging from simple reporting technologies to sophisticated BI platforms. Selection of a BI tool deemed appropriate for a particular task may turn out to be difficult; hence careful considerations must be made in the selection process. This paper proposed an EDW architecture that employs the integration of proprietary and open source BI tools.
Keywords:	Data Warehouse, Educational Business Intelligence, ETL, Educational Intelligence
Source:	Journal of Theoretical and Applied Information Technology 10^th November 2014 -- Vol. 69. No. 1 -- 2014
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Title:	DDOS AND DOS PARALLEL ATTACK TRACEBACK BY SPATIAL MARKING TECHNIQUE
Author:	PERIYASAMY.S, DURAISWAMY.K
Abstract:	The usage of internet is increased day by day when compared to past days. Because of this increased internet usage, the possibility of loss of data and cause for providing security to the information in the system is increased. It leads to the blocking of services results in Distributed Denial of Service (DDoS) attack. It is identified as the very harmful threat to internet user and information server. But the router and routing mechanism available in the network makes the trace back process very difficult. Till now, no paper deals with efficient trace back of source of attack for DDoS attack. In this paper, we propose a spatial marking trace back scheme for finding DDoS intruders based on geographical landscape identification information. The information’s identified are utilized for the efficient routing of the packets. Also, a comparison with existing trace back methodology like Geographical Divisional Traceback and Directed Geographical Traceback is also proposed.
Keywords:	DDoS, Spatial marking, Network Security, IP Traceback, Divide and Conquer.
Source:	Journal of Theoretical and Applied Information Technology 10^th November 2014 -- Vol. 69. No. 1 -- 2014
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Title:	LEARNING RESOURCES RECOMMENDATION FRAMEWORK USING RULE-BASED REASONING APPROACH
Author:	SAOWALUK THAIKLANG, NGAMNIJ ARCH-INT, SOMJIT ARCH-INT
Abstract:	Current e-learning systems present instruction in a "one-size-fits-all" style that provides the same learning resources to each student. In fact, each learner has a different learning style or different individual needs, so many learners may have difficulty gathering the most suitable learning resources for themselves. To help solve this problem, this paper presents a learning resources recommendation framework using rule-based reasoning approach which allows teachers and learners to create learning resources in the form of learning objects based on ontology for searching and reusing learning objects. This paper presents the experiment of recommendation system to provide learning resources that are appropriate to the learning style of each student by designing learner profiles and learning styles in the form of ontology. This system expresses the Web Ontology Language. (OWL), and relies on rule-based reasoning engine to identify the optimized learning resources. With the evaluation of experiments, the results showed that the learning resources recommendation based on rule-based approach retrieved the strong selection of the relevant resources.
Keywords:	Ontology, Learner Profile, Learning Styles, Learning Resources, Semantic Search, Rule-Based Reasoning
Source:	Journal of Theoretical and Applied Information Technology 10^th November 2014 -- Vol. 69. No. 1 -- 2014
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Title:	HAND GESTURE ACTIVITY BASED SIGN LANGUAGE RECOGNITION MODEL DEVELOPMENT USING SKIN PATCHES COLOUR DISTRIBUTION HISTOGRAM APPROACH
Author:	DR. DEEPAK ARORA , ASMITA DIXIT
Abstract:	The advent of modern sciences has played a pivotal role in exploring other, if not better, avenues like the vision based hand interface techniques instead of the more traditional means of those of keyboard, mouse, pen etc, wherein the former has attained a higher relevance because of its natural and efficient outcomes. Through this paper an attempt has been made at developing an algorithm capable of intercepting the hand moments and locating its centroid. The proposed method tabulates the corresponding feature attributed to a gesture, after analyzing and intercepting the distance between the finger tips, their count, relative distance between the finger tips and their distance from the centroid, which eventually adds up to creation of the histogram of an image through the substantial and collateral information received through the hand gestures. The proposed technique works against a yellow background with interception of gestures of the front and the back side of hand. In an attempt of enhancing the robustness of the processing in consideration of the environmental impact through noise, the HSV format is taken into use. This method works on intercepting dedicated gestures of fingers to identify different alphanumeric characters followed by tracking of hand using motion and color cues. We have investigated the application of the method in sign language recognition by dedicated hand gestures feature learning. Through the instant method a proposal to an approach for recognition of sign language having usage in machine learning problem is being made which undoubtedly would be extremely helpful for deaf people to interact with others who are unaware of or don’t understand Sign Language.
Keywords:	Machine Learning, American Sign Language (ASL), Skin Detection, Gesture Recognition, Image Tracking, Histogram.
Source:	Journal of Theoretical and Applied Information Technology 10^th November 2014 -- Vol. 69. No. 1 -- 2014
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Title:	TWITTER SENTIMENT MINING (TSM) FRAMEWORK BASED LEARNERS EMOTIONAL STATE CLASSIFICATION AND VISUALIZATION FOR E-LEARNING SYSTEM
Author:	M.RAVICHANDRAN, G.KULANTHAIVEL
Abstract:	E-learning is becoming the most influential and well-liked standard for learning through web based education. It is very important to categorize the online feedback of the learners emotion in e-learning system. Learning usually refers to teaching skills propagated with the help of computers to communicate knowledge in a web based classroom environment. It is very difficult to identify the learner’s emotional state whether they are satisfied with the online courses. The twitter sentiment mining framework helps to find about the learners who are frequently interacting with the e-learning environment. Twitter has become the most popular micro-blogging area recently. Millions of users frequently share their opinion on the blogs. Twitter is referred as a right source of information to perform sentiment mining. This research presents a new method for sentiment mining in twitter based messages written by learners, initially helps to extract information about learners sentiment polarity (negative, positive), and to model the learners sentiment polarity to identify the change in their emotions. A model has been constructed from the training data of the sentimental behaviors of the e-learners using Naïve Bayesian approach. The model constructed has been tested through the test data during the prediction process of discovering the emotional states of e-learner. The results were compared against the other famous classification algorithms like support vector machines and maxentropy techniques. This information can be effectively used by e-learning system, by considering the learners' emotional state when recommending learner’s the most appropriate activity each time. The learner’s sentiment, emotional state towards the online course can provide feedback for e-learning systems. The experimental outcome show that our proposed research work outperforms recent supervised machine learning algorithms on accuracy findings of learner’s emotional state classification.
Keywords:	e-learning, sentiment analysis, classification, visualization,
Source:	Journal of Theoretical and Applied Information Technology 10^th November 2014 -- Vol. 69. No. 1 -- 2014
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Title:	AN INTELLIGENT –AGENT BASED FRAMEWORK FOR LIVER DISORDER DIAGNOSIS USING ARTIFICIAL INTELLIGENCE TECHNIQUES
Author:	H.RATNAMALA KIRUBA,, Dr.G.THOLKAPPIA ARASU
Abstract:	Artificial intelligence is an emerging area of modern research that aims at infusing machine intelligence through computational techniques. Data mining (DM) enables efficient knowledge extraction from large datasets, in order to discover hidden or non-obvious patterns in data. Our motivation for using DM was based on the hypothesis that the application of the appropriate DM technique on patient records could form a suitable mechanism for the knowledge extraction representing the correlation between patient symptoms and disease. The extracted knowledge was then used for the provision of personalised recommendations to patients in collaboration with the agent-based framework developed. The agent – based system developed interacts with different modules of the overall integrated system developed to support liver disease diagnostic system. This research work aims at exploring the impact of machine learning techniques in liver disorder detection on two different datasets comprising of more than 900 patient records acquired from the University of California, Irvine, Machine Learning Repository . The findings revealed that C4.5 decision tree algorithm and the Random Tree algorithm produced 100 percent accuracy in classification of the liver disorders and we believe implementation of the proposed intelligent agent-based system will raise a precise and accurate diagnostic system for clinical ailments of diverse kind. To the best of our knowledge, this is the first attempt to explore this large collection of supervised machine learning techniques in the design of intelligent agent-based clinical systems for diagnostic purposes.
Keywords:	Artificial intelligence, Intelligent Agents, Supervised learning, Data mining, Clinical diagnosis, Liver Disorder detection
Source:	Journal of Theoretical and Applied Information Technology 10^th November 2014 -- Vol. 69. No. 1 -- 2014
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Title:	TIME COMPLEXITY OF ALGORITHMSAND ITS DIFFERENCE EQUATION REPRESENTATION
Author:	M.RAJU, B.SELVARAJ, M.THIYAGARAJAN
Abstract:	The fundamental problem encountered in all applications of computer science, can be classifiedintothe area of searching, merging and sorting. In the analysis of large class of algorithms, we have to discuss the solution of general recurrences based on divide and conquer algorithms. Graph algorithms are studied on the building block heap and disjoint data structure. We investigate the complexity of both time and space in the implementation of these algorithms. Results are expressed in terms of functions of number of steps along with the data structure. We give in this paper the different expressions for these complexity arguments appearingas solutions of specific types of difference equation expressions.
Keywords:	Second Order Difference Equations, Forward Difference, Asymptotic And Oscillatory Behaviors, Algorithms,Complexity, Numerical Data.
Source:	Journal of Theoretical and Applied Information Technology 10^th November 2014 -- Vol. 69. No. 1 -- 2014
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Title:	ENHANCEMENT OF QOS IN MOBILE MULTIMEDIA APPLICATIONS DURING VERTICAL HANDOFF IN HETEROGENEOUS NETWORK
Author:	I. CHANDRA, K. HELENPRABHA
Abstract:	Multimedia applications in wireless communication have been increased in recent years. A variety of wireless access technologies are introduced for various needs. The abundant increase in mobile computing devices and different networking systems leads to the support of user’s mobility in Heterogeneous Wireless Networks (HWN).This paper addresses a Scheduling Based Vertical Handover Management Scheme (SBVHM) when a user migrate between WLAN and WiMAX for seamless and ubiquitous access. Various wireless technologies such as wireless LAN, WiMAX and 3GPP are interlaced to support many wireless services in global environment. In addition QoS has become more significant in many applications where wireless network resources are utilized. The proposed scheduling based vertical Handover management scheme analyses the QoS enhancement of the mobile user in a Heterogeneous network. Our simulation results show that by introducing proper scheduling, the QoS parameters such as Reauthentication delay and Signalling Cost are reduced significantly. The algorithms Genetic Queuing, Proportionally Fair Queuing and WiMAX QoS Aware Load Balancing are proposed in the scheduling process during handover. The simulation is implemented using NS-2 and the experimental results are obtained for the proposed algorithms and compared with the standard scheme.
Keywords:	Heterogeneous Network, Quality of Service, Reauthentication Delay, 3GPP, Signalling Cost.
Source:	Journal of Theoretical and Applied Information Technology 10^th November 2014 -- Vol. 69. No. 1 -- 2014
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Title:	RECOGNIZING SELF-CITATIONS VIA CITATION QUALITY ANALYSIS
Author:	M. RAJA AND T. RAVICHANDRAN
Abstract:	Self citations have so far been excluded from citation count. It is widely believed that such self citations do not have any significance than merely to increase the citation count of the article and improve the prestige of the author through citation count. Self citations should not always be avoided as the article may have been cited for genuine reasons. Analysis of self-citations helps in evaluating continuing research as well. This paper argues that self-citations must not be blindly excluded in citation counts when evaluating prestige value of a research paper/author. Experiments conducted on researcher’s self-citation dataset reveal that most self-citations show marginal improvement thus establishing researcher progress in the respective area of research.
Keywords:	Citations, Self Citations, Impact Factor, Citation Index, h-index
Source:	Journal of Theoretical and Applied Information Technology 10^th November 2014 -- Vol. 69. No. 1 -- 2014
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Title:	AN ENSEMBLES FRAMEWORK FOR BRAIN COMPUTER INTERFACE
Author:	SANOJ. C. S, S. CHITRA
Abstract:	Brain Computer Interface (BCI) is a control and communication system independent of the brain’s neuromuscular output channels. BCIs carry an expectation of the future, as a device connecting the brain to a computer. One can control equipment through thoughts. Though current reality is practical, many accomplishments have been achieved in the last 20 years and BCIs are here to stay. In this study, Brain Computer Interface IIIa dataset is used to test the proposed system. Features are extracted using Discrete Cosine Transform (DCT) and Common Spatial Patterns (CSP). Features are selected using Correlation based Feature Selection (CFS) and classified using meta-classifiers.
Keywords:	Brain Computer Interface (BCI), IIIa dataset, Common Spatial Patterns (CSP), Discrete Cosine Transform (DCT), Correlation based Feature Selection (CFS), Rotation Forest Ensemble.
Source:	Journal of Theoretical and Applied Information Technology 10^th November 2014 -- Vol. 69. No. 1 -- 2014
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Title:	TECHNOLOGY ACCEPTANCE MODEL AND ONLINE LEARNING MEDIA: AN EMPIRICAL STUDY OF ONLINE LEARNING APPLICATION IN A PRIVATE INDONESIAN UNIVERSITY
Author:	MAYA SULISTIYANINGSIH, JOHAN J.C TAMBOTOH, ANDEKA ROCKY TANAAMAH
Abstract:	Flexible learning is an online learning media that reshapes the roles of lecturers and students and provides information required for teaching/ learning activities. Indeed, various factors influence the extent of users’ participation in adopting flexible learning. Therefore, it is necessary to investigate what factors affect the extent of users’ participation in accepting and adopting flexible learning. Consequently, this article uses Technology Acceptance Model (TAM) as the theoretical base to understand the factors that influence the acceptance and adoption of flexible learning by lecturers and students as users of the system. In order to make the empirical analysis, we distribute questionnaire topurposively selected 100 students and lecturers from a private Indonesian university (Satya Wacana Christian University) who have fully used flexible learning system in the university (the so-called F-Learn). Using Structural Equation Modeling (SEM) to analyze the data, we find that perceived usefulness, perceived ease of use,and attitude on use of flexible learning significantly affect the extent of flexible learning usage in online learning activities.
Keywords:	Online Learning, Technology Acceptance Model, Purposive Sampling, Structural Equation Modeling.
Source:	Journal of Theoretical and Applied Information Technology 10^th November 2014 -- Vol. 69. No. 1 -- 2014
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Title:	DRPGAC: DETECTING AND PREVENTING MALICIOUS ACTIVITIES IN WIRELESS SENSOR NETWORKS
Author:	A. THOMAS PAUL ROY, Dr.K.BALASUBADRA
Abstract:	One of a most familiar countermeasure against Network attacks is an efficient Intrusion Detection System. In order to improve efficiency of the intrusion detection system and prevention using various methods, techniques and procedures are discussed in the earlier studies. Many procedures generally try to assuage specific weaknesses of intrusion detection. The main objective of this paper is to decrease the malicious activities by providing prevention in terms of Identity based Authentication. In the existing system LBIDS system is applied to detect the malicious node in WSN where the IDS are deployed in the leader. If the malicious node occur far from leader’s place then it is difficult to detect the malicious activity. In this paper DRPGAC- [Dynamic Random Password Generation and Comparison] approach is proposed for detecting and preventing malicious activities in each stage of the network functionality. DRPGAC is a pre, post-processing solution for malicious activities. A sequence of DRP is generated automatically and assign to the network users. Whenever the users enter into the network, while data transmission and communication should be start to each other, their password is verified and validated to check the user is an innocent or malicious. The DRPGAC approach has been simulated and tested using a set of nodes deployed in Network Simulator Environment and the result shows better performance comparatively than the existing approaches.
Keywords:	Intrusion Detection System; Wireless Networks; Random Password Generation; Malicious Activities; Prevention; Attacker Node.
Source:	Journal of Theoretical and Applied Information Technology 10^th November 2014 -- Vol. 69. No. 1 -- 2014
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Title:	DESIGN AND ANALYSIS OF LOW NOISE AMPLIFIER USING CADENCE
Author:	M. I. IDRIS , N. YUSOP , S. A. M. CHACHULI , M.M. ISMAIL FAIZ ARITH AND N. SHAFIE
Abstract:	Low Noise Amplifier also known as LNA is one of the most significant component for application in wireless communication system. It is a very important part in RF receiver because it can reduce noise of gain by the amplifier when the noise of the amplifier is received directly. The low noise amplifier has been designed to get the better performance by follow the requirement in this new era consists of high gain, low noise figure, lower power consumption, small chip area, low cost and good input and output matching. In this research, a LNA schematic consists of three stages which are common gate amplifier, common drain amplifier and active inductor is designed to mitigate this constraint. Common gate and common drain are used for input and output stages in every LNA. Both are also used for excellent input and output matching and have a potential to get a lower noise whereas for active inductor, it is used to obtain the lower power consumption and to reduce the chip size in layout design. The results show that the proposed LNA is able to achieve the best performance with a simulated gain of 14.7dB, extremely lower power consumption of 0.8mW, noise figure of 7dB and small chip area 0.26mm². Consequently, this modified LNA is appropriate for low-voltage applications especially in wireless communication system.
Keywords:	Low Noise Amplifier, inductor, cadence, RF receiver and high gain.
Source:	Journal of Theoretical and Applied Information Technology 10^th November 2014 -- Vol. 69. No. 1 -- 2014
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Title:	NEW RE-ROUTING AND RETRANSMISSION TIMEOUT POLICY THROUGH REAL TIME WEB PERFORMANCE ANALYSIS
Author:	M.S.GANESH , DR. S.RAMKUMAR
Abstract:	Most important performance metrics quantifies TCP retransmission timeouts (RTOs) is the Round Trip Time (RTTs), which create havoc on network and application performance by introducing huge amount of retransmission packet over the internet routing. This paper tries to locate various means of non-fair RTOs using real-time web-based internet domain server access procedure. The impact is identified through Wireshark tool, Tracert, windows Application Programming Interface (APIs) procedure and other parameters of internet connection such as bandwidth, time of access, traffic intensity time zone with respect to routing parameters. The experiment is to collect packet parameters on the internet on various factor and analyze the same for the impact. Through the study the need for the fine tuning on Retransmission along with Round trip time is identified .The study also provide the new re-routing strategy to improve the overall performance of routing and retransmissions suing simple communication agent architecture on TCP level.
Keywords:	Transmission control protocol, Retransmission Timeouts, Round Trip Time, Web domain, Routing,Wireshark
Source:	Journal of Theoretical and Applied Information Technology 10^th November 2014 -- Vol. 69. No. 1 -- 2014
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Title:	TRUST MODEL BASED ON BAYESIAN STATISTICAL METHOD FOR AOMDV IN MANET
Author:	Mrs.S.GEETHA, Dr.G.GEETHA RAMANI
Abstract:	Mobile Ad Hoc Networks (MANETs) present a dynamic environment in which data can exchange without help of a centralized server , provided that nodes cooperate with neighbor nodes for routing. In this environment, the security of data established route to its destination is a challenging issue in the existence of malevolent nodes. This paper proposes a data security approach in MANETs that uses a trust based multipath AOMDV routing combined with Bayesian statistical method called Trust based adhoc multipath distance vector (TB-AOMDV) protocol. This protocol is also capable to discover multiple loop-free paths in route discovery. These routes are evaluated by three aspects: hop counts and route trust and node trust values. Furthermore, the routing protocol describe the procedures for identification of the trusted routes and. Simulation results show that TB-AOMDV improves packet delivery ratio, end-to-end delay, packet overhead when compared to the AOMDV.
Keywords:	MANETs, Data Security, TB-AOMDV, Packet Delivery Ratio, End-To-End Delay, Packet Overhead
Source:	Journal of Theoretical and Applied Information Technology 10^th November 2014 -- Vol. 69. No. 1 -- 2014
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Title:	EVM & ACP ANALYSIS OF LMS FILTER FOR SALEH MODEL PA LINEARIZATION IN DIFFERENT PHASE SHIFT KEYING MODULATIONS
Author:	J.N.SWAMINATHAN, P.KUMAR
Abstract:	The Power Amplifier plays the major role in boosting the message signal strength. The Memoryless non linearity nature of the Power amplifier varies according to its output power function. The nature of the amplifier can be difined by diffrent models. By this factor, PA has been classified in to diffrent types. Here we choosed Saleh model PA which is best suited for TWT type amplifers. To linearize the PA, Pre-distortion is one of the method used. Here we are going to use NLMS algorithm in Predistorter and evaluates its error estimating capability for saleh power amplifier model using diffrent Phase shift key modulation methods like BPSK, QPSK, 8-PSK,16-QAM. We measured ACP and EVM for the above modulations using Matlab software.
Keywords:	NLMS- Normalized Least Mean Square, PA- Power Amplfier, QAM- Quadrature Ampliture Modulation, BPSK- Binary Phase Shift Keying, QPSK- Quadrature Phase Shift Keying, PSK- Phase Shift Keying, TWT- Travelling Wave Tube, ACP – Adjacent Channel Power EVM – Error Vector Magnitude.
Source:	Journal of Theoretical and Applied Information Technology 10^th November 2014 -- Vol. 69. No. 1 -- 2014
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Title:	ENERGY CONSUMPTION AND QoS PERFORMANCES TO COMPARE COMBINED ROUTING PROTOCOL AND MOBILITY MODEL FOR CBR TRAFFIC IN MANET
Author:	Said EL KAFHALI, Mohamed HANINI and Abdelkrim HAQIQ
Abstract:	A Mobile Ad-hoc Network (MANET) has the property to be formed dynamically by a system of mobile nodes which are connected via wireless links with no centralized administration. All nodes can be mobile resulting in a possibly dynamic network topology. Two of the major problems in this network are energy consumption and Quality of Service (QoS) related to traffic requirements. This paper aims to explore the performances of the combination of routing protocol and mobility model in terms of QoS relating to CBR traffic and to network lifetime. Hence, simulations have been performed to evaluate the performance of AODV, DSR and DSDV routing protocols under various mobility models. The mobility models used in this work are Random Waypoint, Reference Point Group and Manhattan Grid. Obtained results show that the best combination protocol/mobility depends on the average speed of nodes.
Keywords:	MANET, Routing Protocols, Mobility Models, CBR Traffic, Energy Consumption, QoS Parameters, NS-2.
Source:	Journal of Theoretical and Applied Information Technology 10^th November 2014 -- Vol. 69. No. 1 -- 2014
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Title:	MULTI OBJECTIVE TEST CASE MINIMIZATION COLLABORATED WITH CLUSTERING AND MINIMAL HITTING SET
Author:	R.BEENA, Dr.S.SARALA
Abstract:	Software testing aspires to explore and validate the attribute and potentiality of a program to authenticate and cross-verify the requisite results obtained. The broader bifurcation of testing is Precision Testing and Reliability Testing. Regression testing is part of reliability testing as it testifies the changes or modifications pursued to the software have not curtailed the functionality of the software by introducing any bugs. It is a kind of quality assurance to the modifications carried out. The pivotal role of regression testing is comprehended whenever modification towards development of software takes place. Re-execution of large test suites is perhaps an enigma many a times due to the paucity of resources. Here arises the need for a novel technique to minimize the test suite in order to remove the redundant test cases. With this focus to provide an innovate and time-effective strategy to remove the redundant test cases, this paper presents a multi-objective test suite minimization by considering maximum statement coverage and minimum execution time. This article also concentrates on incorporating a multi objective minimization technique using clustering approach and minimal hitting set. Here, the identification of appropriate clusters is achieved, through the weighted distance function for mixed variable type and the minimal hitting set is obtained using HS_DAG (Hitting Set Directed Acyclic Graph) algorithm. The results of this experiment exhibit that the algorithm proposed works with adequate efficacy in minimizing the test cases.
Keywords:	Regression Testing, Test Case Minimization, Similarity, Minimal Hitting Set, Clustering, HS_DAG algorithm
Source:	Journal of Theoretical and Applied Information Technology 10^th November 2014 -- Vol. 69. No. 1 -- 2014
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Title:	A NEW CREATION OF MASK FROM DIFFERENCE OPERATOR TO IMAGE ANALYSIS
Author:	S.KALEESWARI, B.SELVARAJ and M.THIYAGARAJAN
Abstract:	A general theorem on a mth order difference equation is presented. Specific illustration is given to support our claim. This leads to a creation of noise removal operator which can remove additive and multiplicative noises presenting in any digital image. Samples are shown to explain this new creation of mask in the field of image analysis and machine vision.
Keywords:	Mask, Entropy, Sobel, Difference Equation, Functional, Nonlinear, Oscillation, Image Analysis.
Source:	Journal of Theoretical and Applied Information Technology 10^th November 2014 -- Vol. 69. No. 1 -- 2014
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