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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
January 2014 | Vol. 59 No.1

Title:	PERFORMANCE OF SEPARATED RANDOM USER SCHEDULING (SRUS) AND JOUNT USER SCHEDULING (JUS) IN THE LONG - TERM EVOLUTION - ADVANCED
Author:	AHMED A ALI, Ir. Dr. ROSDIADEE NORDIN, Assoc. Prof. Dr. HUD BINTI ABDULLAH
Abstract:	Carrier aggregation (CA) is one of the main features in Long Term Evolution– Advanced (LTE-A). CA will allow the target peak data rates in excess of 1 Gbps in the downlink and 500 Mbps in the uplink to be achieved, And the users can have access to the total bandwidth of up to 100 MHz . The system bandwidth may be continuous or system consisting of several parts non continuous bandwidth are aggregated. This paper provides a summary of the supported CA scenarios as well as an overview of the advanced functionality of CA-LTE with particular emphasis on the basic concept, control mechanisms, and the performance aspects of (CA). This paper also demonstrates how CA can be used as an enabler for simple yet effective frequency domain interference management schemes. In particular, the interference management is to provide the intervention made significant gains in heterogeneous networks, envisioning intrinsically uncoordinated deployments from the home base stations. then, we compared the quality of service (QoS) performances of two different multi-user scheduling schemes in CA based LTE-A systems, separated random user scheduling (SRUS) and joint user scheduling (JUS). The former is simpler but less efficient whereas the latter is optimal but with higher overhead signaling. Moreover, only one single component carrier (CC) is required to access for user equipment (UE) in the case of SRUS while all the CCs must be connected in the case of JUS. Some technical challenges for implementing carrier scheduling schemes technique in LTE-A systems, are discussed and highlighted.
Keywords:	Long Term Evolution– Advanced ;Carrier aggregation ; separated random user scheduling; joint user scheduling.
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 1 -- 2014
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Title:	EFFECT OF ROUTING PROTOCOLS OVER RENOVATED CONGESTION CONTROL MECHANISMS IN SINGLE-HOP WIRELESS
Author:	TANMAYA SWAIN, PRASANT KUMAR PATTNAIK
Abstract:	Wireless network uses wireless media to send and/or receive data over air. Wireless network provides the services for data transmission that may not be effective with wires. But sometimes the situation demands to cover across the regions that are beyond the capabilities of typical cabling system. However traditional TCP is a de facto standard for reliable transmission where congestion mechanism is itself a challenge. Many renovation protocols namely TCP Newreno, TCP Vegas are cited in the literature in order to overcome the shortcomings lies in the traditional TCP. On the other hand two popular routing protocols namely DSR and AODV are widely used during the movement of the node(s).This paper experiments by simulating an environment with TCP Newreno and TCP Vegas as a transport layer protocol and DSR and AODV as a routing protocol in order to get the better compatibility in Network Layer and Transport layer protocols.
Keywords:	TCP Newreno, TCP Vegas, DSR, AODV, Congestion Control
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 1 -- 2014
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Title:	RECOVERING DESIGN-CODE TRACES: AN ACO BASED APPROACH
Author:	IMAD BOUTERAA NORA BOUNOUR
Abstract:	Traceability is a key issue to promoting software development quality and productivity. It was recognized as crucial for several software development and maintenance activities. Despite their importance, traceability links are often sacrificed during software evolution due to market pressure. In this work we present an approach to recover them between the design and the implementation. Our approach recover traces basing on properties’ similarities, it exploits string edit distance, maximum matching, and Ant Colony Optimization. Evaluations show promising results of this work.
Keywords:	Traceability, Object-Oriented Programming, Software Evolution, Program Understanding, Software Maintenance, UML, Ant Colony Optimization
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 1 -- 2014
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Title:	QOS-AWARE EVALUATION CRITERIA FOR WEB SERVICE COMPOSITION
Author:	HOMA MOVAHEDNEJAD , SUHAIMI BIN IBRAHIM , MAHDI SHARIFI , HARIHODIN BIN SELAMAT , ARASH HABIBI LASHKARI , SAYED GHOLAM HASSAN TABATABAEI
Abstract:	Service composition is becoming increasingly pervasive, affecting the way service computing is utilized. Service composition has become an essential element of service deployment due to the fact that single services are unable to fulfill user requirements. Owing to the dramatic growth of services claiming similar functionalities, creating a value-added composite service from a number of candidate services to address the desired goals is a challenging task. To overcome this challenge, various Quality of Service (QoS) aware Web Service Composition (WSC) approaches have been implemented and have a significant impact on composition efficiency. However, there is a lack of knowledge on the impact of such approaches on service composition processes. Hence, this study is aimed to evaluate existing approaches based on QoS aspects. A mathematical-based QoS-aware evaluation framework is proposed and tested on the state-of-the-art approaches. The criteria used for evaluation are first identified from a comprehensive review of related literature. Multi Criteria Decision Making technique is applied in order to formulate a new QoS-aware evaluation method for Web Service Composition approaches based on the identified criteria. The approaches are evaluated using the proposed method to prove its applicability and correctness. The results demonstrate how a service composition approach addresses QoS aspects and assists researchers in outperforming their service composition solutions. The statistical results show the efficiency and correctness of the evaluation method.
Keywords:	Web Service Composition, Quality of Service, Comparative Evaluation
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 1 -- 2014
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Title:	AN ADAPTIVE METHOD FOR ANALYZING AND PREDICTING THE CRIME LOCATIONS BY MEANS OF AMABC AND ARM
Author:	R.SUJATHA, DR. D.EZHILMARAN
Abstract:	Since the birth of civilization, offenses of various sorts have been on an uptrend and no wonder Crime investigation, which is emerging as the supreme law enforcement procedure , particularly of the Government, to check such menaces to the society at large, finds itself engrossed in methodical scrutinizes for spotting and evaluating the designs and tendencies shown by the law-breaking anti-socials indulging in offense and chaos so as to find appropriate and accurate preventive actions in due time. Various Techniques were introduced for the method of Crime analysis and Prevention. But the existing methods have some drawbacks, i.e. those methods are not considering the precise features to analyze and predict the high volume crime areas. Hence to reduce the drawbacks in the existing methods, a new crime location prediction technique is proposed in this paper. The proposed technique predicts the crime location by analyzing the crime data by utilizing an Adaptive Mutation based Artificial Bee Colony (AMABC) algorithm. The AMABC algorithm will use socio-economic factors and clustering results in the crime location analysis process. Among the predicted crime locations by the AMABC algorithm, a high crime location is computed by mining the patterns by using Association Rule Mining (ARM) technique. Thus, the proposed technique will successfully predict the locations via AMABC and ARM techniques. In our proposed technique an UCI Machine Learning Repository-Communities and Crime Data Set will be used for the crime analysis. The proposed technique will be compared with the existing optimization methods like GA, PSO and conventional ABC.
Keywords:	Crime locations prediction, Artificial Bee Colony (ABC), Adaptive Mutation based Artificial Bee Colony (AMABC), Association Rule Mining (ARM), GA, PSO, UCI data
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 1 -- 2014
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Title:	THE STATE OF THE ART INFORMATION SHARING TECHNOLOGIES FOR SUPPLY CHAIN MANAGEMENT
Author:	MARYAM MOFARRAHI, MASOUD RAHIMINEZHAD GALANKASHI, MAHDIEH MOHAMMADI, ALI SHAHIDINEJAD
Abstract:	Information sharing systems help supply chain management (SCM) by tracking and identifying an object’s or human’s location in real time. However, prior to implement an information system, various technologies and the related advantages and disadvantages must be considered. This paper investigates the state of the art technologies applied in SCM and presents a study about their benefits and drawbacks. RFID, GPS, NFC, ZigBee, ultrasonic, UWB, and infrared systems are discussed and finally Visible Light Communication for different stages of a SCM is proposed.
Keywords:	Supply Chain Management, Visible Light Communication, Information sharing.
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 1 -- 2014
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Title:	A REVIEW ON ABSTRACTIVE SUMMARIZATION METHODS
Author:	ATIF KHAN, NAOMIE SALIM
Abstract:	Text summarization is the process of extracting salient information from the source text and to present that information to the user in the form of summary. It is very difficult for human beings to manually summarize large documents of text. Automatic abstractive summarization provides the required solution but it is a challenging task because it requires deeper analysis of text. In this paper, a survey on abstractive text summarization methods has been presented. Abstractive summarization methods are classified into two categories i.e. structured based approach and semantic based approach. The main idea behind these methods has been discussed. Besides the main idea, the strengths and weaknesses of each method have also been highlighted. Some open research issues in abstractive summarization have been identified and will address for future research. Finally, it is concluded from the literature studies that most of the abstractive summarization methods produces highly coherent, cohesive, information rich and less redundant summary.
Keywords:	Abstractive Summary, Sentence Fusion, Semantic Graph, Abstraction Scheme, Sentence Revision
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 1 -- 2014
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Title:	TRANSACTION AWARE VERTICAL PARTITIONING OF DATABASE (TAVPD) FOR RESPONSIVE OLTP APPLICATIONS IN CLOUD DATA STORES
Author:	SHRADDHA PHANSALKAR, Dr. A.R. DANI
Abstract:	Online transaction Processing (OLTP) applications are business applications which are characterized by high-frequency short lived data transactions. In cloud domain, applications are expected to be highly responsive and low cost with optimized levels of consistency. Cloud data stores rely on an appropriate data partitioning scheme to achieve promising levels of responsiveness and scalability. This work presents a novel, transaction aware, static, vertical data partitioning scheme based on denormalization which performs well for OLTP applications in cloud domain. The scheme is implemented and tested on contemporary cloud data stores i.e Amazon SimpleDB and Hadoop HBase. Our work also proposes a mathematical specification model for TAVPD based data partitioning and suggests appropriate evaluation factors for a data partitioning scheme in cloud database.
Keywords:	Partitioning, Selective Consistency, Responsiveness, Consistency Index, Poisson Distribution
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 1 -- 2014
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Title:	IMPROVEMENTS IN NEURAL NETWORK FOR CLASSIFICATION OF WEB PAGES
Author:	J. B. LEELA DEVI, Dr. A. SANKAR
Abstract:	Web page classification differs from traditional text classification due to additional information by Hyper Text Markup Language (HTML) structure and the presence of hyperlinks. While effort was taken to exploit hyperlinks for classification, web pages structured nature is rarely considered. A noticeable HTML documents feature is HTML tags and respective attributes that ensure that HTML documents are viewed in browsers and other user agents. This paper proposes a semantic-based feature selection to improve web pages search and retrieval over large document repositories. Web page classification using HTML tags is evaluated using the 4 Universities Dataset. The features are classified using Proposed Neural Network. The experimental results show improved precision and recall with the presented method.
Keywords:	Hyper Text Markup Language (HTML), Web page classification, HTML tags, Neural Network
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 1 -- 2014
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Title:	FUZZY LOGIC BASED PV ENERGY SYSTEM WITH SEPIC CONVERTER
Author:	S.VENKATANARAYANAN, M.SARAVANAN
Abstract:	This paper is to present the Fuzzy Logic based sand –alone solar Photovoltaic (PV) system with the isolated SEPIC converter. The system is designed for 750W solar PV panel and to feed an average demand of 250 W. This system includes solar panels, MPPT (Maximum Power Point Tracking) controller, a SEPIC converter, an energy storage system and a single phase VSI (Voltage source inverter). The SEPIC converter provides a constant DC bus voltage and its duty cycle controlled by the MPPT controller which is needed to improve PV panel’s utilization efficiency. A fuzzy logic controller (FLC) is used to generate the PWM signal for the SEPIC converter to extract maximum power. Simulated using MATLAB SIMULINK, results are presented to demonstrate the performance of the MPPT controller for various load conditions.
Keywords:	PV Energy System, Isolated SEPIC Converter, Fuzzy Logic Controller, Voltage Source Inverter. Introduction
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 1 -- 2014
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Title:	DEVELOPING ARCHITECTURE FOR MONITORING OF PATIENTS USING INTELLIGENT AGENT-BASED SYSTEM IN WIRELESS SENSOR NETWORK
Author:	R.RAJAVIGNESH, DR.G.THOLKAPPIA ARASU
Abstract:	Monitoring and diagnosis of patients without directly accessing them is very important in medical application of wireless sensor network. But, collecting, transferring and maintaining of data is challenging task. So, there is an immense need to handle all these information in a quickly and effectively way. In this paper, we utilize agents in different processes such as, data collection from the different sensors, transferring, storing to the appropriate servers, classifying the data and give the prescriptions to the patients. In this paper, we organize the proposed architecture in three layers, the first one is body area network layer which helps to store the medical information get from the body sensors of the patients, the second layer is conveyer layer which helps to transfer the medical information one layer to another layer and the final one is data analyze layer which helps to store, analyze medical data also it gives the exact prescriptions for the medical information of the patient. Finally the, remedy for the medical information is send through the conveyer layer. Finally the experimentation is made with the number of patient’s rate of transferring the medical data and our implementation is done with the help of JADE and JNS.
Keywords:	Architecture, Patients, Agent System, Wireless Sensor Network
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 1 -- 2014
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Title:	AN ADAPTIVE THRESHOLD INTENSITY RANGE FILTER FOR REMOVAL OF RANDOM VALUE IMPULSE NOISE IN DIGITAL IMAGES
Author:	S.SARAVANAKUMAR, A.EBENEZER JEYAKUMAR, K.N.VIJEYAKUMAR, NELSON KINGSLEY JOEL
Abstract:	A novel approach for denoising digital images corrupted by impulse noise is presented in this brief. The proposed approach uses an efficient technique to identify pixels corrupted by random noise. This is done by setting an intensity range for the center pixel of the selected window and checking whether the number of pixels which fall within this range is above or below a specified threshold. If the condition for an uncorrupted pixel fails in the selected window, the window size is increased and threshold is adaptively changed. Experimental evaluation using MATLAB revealed that the proposed approach demonstrates better Peak Signal to Noise Ratio (PSNR) improvement for higher noise densities when compared to the best of the approaches used for comparison. Visual interpretation of output images revealed that our approach preserved edges and fine details when compared to the existing algorithms.
Keywords:	Random Valued Impulse Noise, Intensity Range, Soft-switching, Rank order, Peak Signal to Noise Ratio.
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 1 -- 2014
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Title:	DESIGN OF A MODIFIED FUZZY FILTERING FOR NOISE REDUCTION IN IMAGES
Author:	EHSAN AZIMIRAD, JAVAD HADDADNIA
Abstract:	Reducing noise from the color images is a very active research scope in image processing. In this paper, a modified fuzzy based image filtering algorithm is proposed for reducing impulse noise. This paper presents a new fuzzy filter for the removal Impulse noise in color images. For dealing with the Impulse noise, an algorithm is developed to search for a set of uncorrupted pixels in the neighborhood of the pixel of interest and to compute the median of this set. A modified fuzzy filter consisting of two sub filters with novel membership functions is proposed to cancel out the impulse noise. The first sub filter detects the noisy pixel by utilizing three fuzzy membership functions, defined for this purpose. The corrupted pixels are then corrected using the median of the noise free pixels. The second sub filter makes use of the relation between different color components of a pixel to remove the residual noise in the color image. Simulation results shows that the proposed fuzzy filter effectively removes the additive noise by preserving fine details in the image.
Keywords:	Impulse Noise, Fuzzy Filter, Reducing Noise, Median Filter, Membership Functions
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 1 -- 2014
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Title:	A TECHNIQUE FOR ICI CANCELLATION USING BAYESIAN PROBABILITY AND PARALLEL CANCELLATION (BPICI)
Author:	K. CHINNUSAMY, K. DURAISWAMY
Abstract:	In past decade, the detection and mitigation of Intercarrier interference (ICI) in MIMO-OFDM system has been studied by various researchers due to the presence of frequency offset. Literature presents several works for ICI cancellation as like, iterative receivers, parallel cancellation (PIC) and so on. Among various techniques, researchers have put much concentration on PIC detectors which is a non-linear Multi-User Detection technique wherein the transmitted signal of each user is detected in parallel over a number of iterations. In this paper, Bayesian Probability based Intercarrier Interference Cancellation techniqueis proposed. The technique employs Bayesian probability computation process and parallel cancellation.The transmitted signals are received by the receiver section which consists oftwo cancellation stages. In the first stage, hard decision based decoding is carried out for spatial dimensions and in the second, Bayesian probability is employed after parallel interference cancellation. For the evaluation purpose, BER curves are plotted. Various curves are obtained by varying the fading channel, number of user signals and number of antennas Comparative analysis is also made by comparing to other techniques such as PIC and MVDR. From the results, we can see that our proposed technique has achieved better performance by having lower BER.
Keywords:	Multiple- Input Multiple-Output (MIMO), Orthogonal Frequency Division Multiplexing (OFDM), Intercarrier Interference, PIC, Bayesian Probability, BER
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 1 -- 2014
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Title:	EFFICIENT MULTIPATH LOCATION AWARE ROUTING PROTOCOL FOR MOBILE AD HOC NETWORKS
Author:	DR.A.RAJARAM, K.VINOTH KUMAR
Abstract:	Mobile ad hoc network consists of mobile node where no infrastructure exists. If a node wants to communicate with other node, it needs to obtain its location to forward the data packets. Due to high mobility nature, communication will get degraded because of less packet delivery rate. In previous location aware routing protocols, multipath routing is not deployed with location updation. In this paper, we propose Efficient Multipath Location Aware Routing Protocol (EMLARP) to improve the packet delivery rate based on location updation of mobile nodes and multipath routing. The proposed work consists of three parts. In first part, cluster enhanced multipath routing is introduced to improve link quality and load balancing. In second part, multipath routing is predicted based on given topology. Moreover, multipath routing messages are transmitted to obtain set of node disjoint paths. In third part, mobile node location is updated with use of network progression ratio to optimize the network cost. Based on simulation results from Network Simulation tool (NS 2.34), the proposed protocol achieves high packet delivery rate, more network lifetime, less delay, less packet delivery delay and communication overhead than existing schemes.
Keywords:	Location Aware, Multipath Routing, Cluster Routing, Link Quality, Load Balancing, Packet Delivery Rate, Network Cost And Delay
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 1 -- 2014
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Title:	FALSE POSITIVE REDUCTION IN COMPUTER AIDED DETECTION OF MAMMOGRAPHIC MASSES USING CANONICAL CORRELATION ANALYSIS
Author:	R. LAVANYA, N. NAGARAJAN, M. NIRMALA DEVI
Abstract:	X-ray mammography is the most widely used modality for screening breast cancer in the early stages. Computer aided detection (CADe) systems intend to help radiologists in improving the detection rate. However, the drawback of CADe systems is that they result in a high false positive rate (FPR). In this paper, a new feature-fusion-based system is proposed for classifying automatically detected masses in a mammogram as true masses or false positive cases. In this system, unilateral and bilateral information is fused using a multivariate statistical technique called canonical correlation analysis (CCA). The proposed system is validated using a public database called the mammographic image analysis society (MIAS) database. When compared to unilateral, bilateral and conventional-fusion based systems, the overall classification performance of the proposed system is higher by a range of 8%-16%, 12%-16% and 14%-28% in terms of accuracy, area under curve (AUC) and equal error rate (EER), respectively. Further, the reduction in FPR for the proposed system is at least 39%, 35% and 33% at true positive rates (TPRs) of 60%, 65% and 70%, respectively.
Keywords:	Biomedical Image Processing, Cancer Detection, Decision Support System, False Positive Reduction, Mammography.
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 1 -- 2014
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Title:	SELECTION AND AGGREGATION OF INTERESTINGNESS MEASURES: A REVIEW
Author:	KOK KEONG BONG, MATTHIAS JOEST, CHRISTOPH QUIX
Abstract:	Association Rule Mining is the process of retrieving frequent patterns that occur in a transaction database. Initially used as a market basket analysis solution for retail businesses, it has grown to cover many other fields such as medicine [1, 2], traffic estimation [3] and anomaly detection [4, 5]. An association rule has two components (antecedent and consequent) which is derived from a pattern (a set of items). However, it is not clear when investigating a frequent item set, which items imply the others (i.e., which is antecedent, and which is consequent). Therefore, several combinations of items as antecedent and consequent are generated. This leads to a huge amount of association rules being output by an algorithm for Association Rule Mining. Thus, it is imperative that data miners require some type of measures to evaluate the “interestingness” of these rules. There exist in excess of 70 well-known measures and countless other manually crafted measures in the literature. In this survey, we systematically discuss the methods which users could use to select or aggregate the interestingness measures, applicability of such methods and evaluation of the usage of such methods.
Keywords:	Association Rule Mining, Objective Interestingness Measures, Data Mining, Clustering, Information Retrieval
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 1 -- 2014
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Title:	SIGNATURE BASED MINING FRAMEWORK FOR EVENT SEQUENCES AND ITS APPLICATIONS IN HEALTHCARE DATA USING LANGUAGE MODEL
Author:	D.VETRITHANGAM, Dr.N.UMA MAHESHWARI Dr.R.VENKATESH
Abstract:	Temporal event signature mining for knowledge discovery is a difficult problem. In this paper a framework is designed to know a temporal knowledge about the large scales signature mining of longitudinal heterogeneous event data. This framework mainly deals with the mining of high order latent event structure and its relationship within single and multiple event sequences. Here, the heterogeneous event sequences maps to geometric image by encoding structured into spatial temporal shape process. A Probabilistic language modeling is used to extract high order events from large scale data. Also, presents a doubly constrained conventional sparse coding to learn interpretable and shift invariant latent temporal event signature. This can be shown by the sparsity in the data and latent factor model on the β-divergence. An optimization scheme is also used to perform large scale incremental learning of group specific temporal event signatures.
Keywords:	Data mining(DM), Signature mining(SM), knowledge representation(KR), Probabilistic Model(PM) , Cluster (C)
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 1 -- 2014
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Title:	GENETIC-FIREFLY ALGORITHM TO CONTROL LOAD FLOW OF POWER SYSTEM BY OPTIMAL LOCATION AND CAPACITY OF UPFC
Author:	G.GOKULAKRISHNAN, DR.V. RAMESH
Abstract:	An improved firefly algorithm is investigated with the aid of genetic algorithm (GA). The proposed algorithm improves the load ability of power system with unified power flow controller (UPFC). Random movement factor of firefly algorithm is improved by hybridizing the GA with classical firefly algorithm. In firefly algorithm, the next movement of firefly is depends on the movement factor which is determined by randomly so the best movement of firefly is possibility to fails by the distribution of random number. Thus, the best location of and capacity of UPFC can never able to recognize accurately. So in this paper, a GA based optimization algorithm is used to determine the optimal random movement factor of fireflies. Thus, the optimal location and capacity of UPFC is determined efficiently when compared to traditional fire fly algorithm. The proposed method implemented in MATALB and the optimal location and capacity of UPFC is examined as per the variation of voltage, power loss and power balance of the network. The load power control performance of proposed method is compared with classical firefly algorithm.
Keywords:	Improved Firefly, GA, Load Ability, UPFC, Location, Capacity, And Load Variation
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 1 -- 2014
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Title:	EVALUATION OF LINK QUALITY FOR ROUTING IN DSR
Author:	N.PRASATH, P.SENGOTTUVELAN
Abstract:	MANETs are networks comprising of nodes communicating with each other without network infrastructure and whose advantage is that they can operate alone or in coordination with wired infrastructure. This is usually done through gateway nodes participating for traffic relay in both networks. Application areas are battlefield deployment, rescue work and civilian applications like outdoor meetings or Ad-hoc classrooms. This paper shows a process to evaluate link quality to improve routing by using Dynamic source routing protocol. Considering wireless links quality, a routing algorithm chooses better paths. In this paper, the performance of the effect of link-quality metrics is evaluated. The metrics using a DSR-based routing protocol is studied.
Keywords:	MANET (Mobile ad hoc network), DSR (Dynamic source routing protocol), Link quality
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 1 -- 2014
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Title:	SEMANTIC-WEB-BASED SEARCHING APPLICATION FOR DOCTORS SCHEDULE AND FACILITIES IN HOSPITAL
Author:	A.B. MUTIARA, T. PUTRI, W. SILFIANTI, A. MUSLIM, T. OSWARI
Abstract:	A Hospital as a health supporting media has main information such as existing doctors praxis schedule and availability of facilities. Each hospital has its own format in delivering its information. With the diversity of available information, it is needed a technology that could be able to combine and uniform almost the same information and then present it to the user in the form of mutual relevant to their intended context. The technology used is an ontological semantic-web based search engine. The semantic web method with ontology approach is not only capable of understanding the meaning of a word and a concept, but also the logical relationships between them. In this paper it will be explained the development of search engine with two kinds of data, which are grabed directly (live data) by using the concept of Ontology Web Language (OWL) and manually entered (dummy data) by using the concept of Resource Description Framework (RDF).
Keywords:	Doctor, Ontology, OWL, RDF, Semantic Web
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 1 -- 2014
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Title:	CLASSIFICATION OF DIABETIC RETINOPATHY PATIENTS USING SUPPORT VECTOR MACHINES (SVM) BASED ON DIGITAL RETINAL IMAGE
Author:	MUHAMMAD FAISAL, DJOKO WAHONO, I KETUT EDDY PURNAMA, MOCHAMMAD HARIADI, MAURIDHI HERY PURNOMO
Abstract:	Diabetic retinopathy is a micro vascular complication which is characterized by several changes in the retina. Changes occur in the diameter of the blood vessel, microaneurysm, hemorrhage exudates, and the growth of new blood vessels. These changes need to be detected early so that steps for further handling and treatment can be determined. Laser therapy is one of the common therapies for patients with Diabetic Retinopathy. This therapy is a manual examination of the scanned results of the fundus retinal image. Manual examinations that generate ophthalmologist sight differ from each other. To overcome this problem, a special program is needed to analyze the fundus image of the eye. To create a special program for analyzing the fundus images of the eye required several stages of research. The study begins by preprocessing eye fundus images, getting rid of the optic dick form the fundus of the eye and then separating the vascular tissue of the damaged area of the retina. Damaged areas of the retina consist of dark and bright lesians . Mathematical morphology methods are used to detect the presence of dark lesian. To detect the presence of bright lesian a combination of mathematical morphology, Estimated Background, Colour analysis, Max-tree and attribute filters are used by utilizing a branch filtering approach. Fundus image segmentation results are extracted and classified using Support Vector Machines (SVM) based on microneurysm and exudates features. Eye fundus images are classified into, Mild Non-Proliferative Diabetic Retinopathy, Moderate Non-Proliferative Diabetic Retinopathy and Severe Non-Proliferative Diabetic Retinopathy. The novelty of this research using maxtree representation and atribute filtering to enhance image quality for exudate segmentation. From the classification experiments on patients with diabetic retinopathy the following sensitivity level were obtained, specificity and AUC above 90%. This indicates that the research could help opthalmologist in analyzing a retina that is affected by diabetic retinopathy. The results of the study showed 96.9% sensitivity, specificity 100%, positive predictive value(ppv) 100%, negative predictive value(npv) 88.19 and AUC 0.985%.
Keywords:	Fundus Features, Diabetic Retinopathy, Classification, SVM
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 1 -- 2014
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Title:	AN ANFIS BASED PATTERN RECOGNITION SCHEME USING RETINAL VASCULAR TREE – A COMPARISON APPROACH WITH RED-GREEN CHANNELS
Author:	G. LALLI, Dr. D. KALAMANI, N. MANIKANDAPRABU
Abstract:	Research Work: This Article focuses the perspective of retinal blood vessel classification and detection in digitized retinal images. The color-based channels like green and red channels extraction processes lead to the enhanced identification of retinal blood vessel through the performance measures using Receiver Operating Characteristics (ROC). Processes with Methodologies: This proposed system uses the digital images of the databases diaretdb0 and diaretdb1. The retinal vascular structures of these two databases are very precise and perfect. The resized image further involved with two different progressions of color-channel (Red and Green channels particularly) conversion. These extracted features are enhanced with CLAHE (Contrast Limited Adaptive Histogram Equalization) technique. The morphological operations performed for optic disk, noise and border removal. The difference between its’ MATLAB based erosion and dilation processes on basis of Canny-Edge Detection technique with Threshold value. These kind of performance measure of the system learned through Receiver Operating Characteristics (ROC) with Sensitivity (Se) and Specificity (Sp) using True Positive (P), True Negative (P1), False Positive (N) and False Negative (N1) to be used for determining the ‘Authorization’ or ‘Unauthorization’. The “Count of Pixels” indicates area of blood vessels in respect with Red and Green channels based features are calculated for gaining accuracy of the retinal vascular structure of an image. Result: The performance measure with ROC is applied for retinal blood vessel identification. This kind of systemic processes may be a new perspective in classification, detection and identification of retinal blood vessels.
Keywords:	Retinal Vascular Structure, ROC, diaretdb0, diaretdb1, Threshold Value, CLAHE, Morphological Operations
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 1 -- 2014
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Title:	OPTIMIZED MULTICAST ROUTING SCHEME FOR MOBILE AD HOC NETWORKS
Author:	DR.A.RAJARAM, S.GOPINATH
Abstract:	Mobile Ad hoc Network is the indivisible part of wireless network. In the past few years, the popularity of MANET grows unlimitedly. Due to the presence of mobility and infrastructure less topology, the vulnerability of ad hoc networks is introduced unconditionally. So the failures of link, path and node may occur which leads to lack of communication between the users. Sometimes the malicious attackers arise to make more damage to network connectivity and produce false information among the mobile nodes. To overcome this issue, several approaches are developed to make more efficient routing. But they have not focused on failures of node, link and path as well as malicious activities at a time. We proposed Optimized Multicast Routing Scheme (OMRS) to attain balance between the above said issues. In first phase of this scheme, we develop the detection and avoidance of malicious attacks is implemented with the predetermined trust value of node characteristics. We have also introduced the characteristics of malicious attacks in linear network systems. In second phase, stability ratio of link, path and node is determined to maintain threshold value which ensures the resilience to the path failures. By implementing these solutions, we have achieved better stability and node connectivity towards the ultimate goal of multicast routing scheme. We implement our proposed scheme within Network Simulator (NS2.34) tool environment. By using the extensive simulation results, the proposed scheme achieves better delivery ratio, detection ratio, probability of failure occurrence and less communication overhead, end to end delay than the ODMRP, BDP.
Keywords:	Multicast, Stability Ratio, Malicious Attackers, Detection Ratio, Delivery Ratio, Communication Overhead, End To End Delay, Threshold Value, Node Familiarity And Node Proposal.
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 1 -- 2014
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Title:	SECURE AUTHENTICATION BASED MULTIPATH ROUTING PROTOCOL FOR WSNS
Author:	N.SUMA, DR.T.PURUSOTHAMAN
Abstract:	Wireless sensor networks consist of some nodes that have limited processing capability, small memory and low energy source. These nodes are deployed randomly and often densely in the environment. In order to avoid malicious activities, the secure authentication scheme is required. Here, we have proposed the Secure Authentication based Multipath Routing Protocol (SAMRP) for improving network lifetime and providing data integrity in WSNs. It consists of three phases. In first phase, multipath route is integrated to ensure load balancing and avoid isolated failures. In second phase, encryption and decryption scheme is implemented to provide better authentication. Here three types of iterations are used during authentication phase. In third packet format is proposed for monitoring integrity and authentication status. So the efficient secure multipath route can be chosen to improve the network performance. By simulation results, the proposed SAMRP achieves better data delivery rate, improved network lifetime, high packet integrity rate, less end to end delay and overhead in terms of mobility, pause time, throughput, and number of nodes than the our previous scheme EMRTEM and existing scheme ADAPT.
Keywords:	WSN, SAMRP, Encryption And Decryption, Multipath Routing, Packet Integrity Rate, Network Lifetime, End To End Delay, Communication Overhead, Throughput And Data Delivery Rate.
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 1 -- 2014
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Title:	GLOVE BASED COMMUNICATION SYSTEM FOR HEARING AND SPEECH IMPAIRED COMMUNITY USING SIGN LANGUAGE INTERPRETATION
Author:	S. SAYEED, J. HOSSEN, A. HUDAYA, M. F. A. ABDULLAH, N. MUHAIMAN, I. YUSOF
Abstract:	This paper is to enlighten the diversified utility of Data glove as a rehabilitation communication tool as well as a novel and crucial way of secure authentication for hearing and speech impaired community. Apart from that, this system can be used as an interface for robotic control by the aged and disable people which enables the robots to act according to the affective signs. In this novel way of communication where we combined the conventional sign language used by deaf and dump community incorporated with an electronic glove as the medium of communication from which signals are taken and the exacted message is interpreted. The experiments using Singular Value Decomposition (SVD) method of feature selection was showing the evidence of potential application of this idea. The data glove experiments of identifying sign language communication and identifying people were resulted in significant and distinguished models that are suitable for any communication and authentication systems.
Keywords:	SVD, American Sign Language, Data Glove, Eucildean Distance, Chebychev Distance, Mahalanobis Distance. Minikowski Distance
Source:	Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 1 -- 2014
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