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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
May 2014 | Vol. 63 No.1

Title:	AN EFFICIENT INFORMATION RETRIEVAL SYSTEM USING QUERY EXPANSION AND DOCUMENT RANKING
Author:	P.JANARTHANAN, A. KAVITHA, N.RAJKUMAR,4S.P.VICTOR
Abstract:	Information retrieval is the process of searching and retrieval of information from documents that matches user query. The user information requirement is represented by a query or profile that contains one or more search terms. Indexing plays important role to retrieve the information. Researchers have been used indexing techniques only for document indexing and not focused on the speed up the search and retrieval time. In this paper, an enhanced inverted indexing technique is proposed to index all root terms of the documents. This approach maintains the weight of each term connected to the document in index structure. Multiple query terms are easy to handle using inverted index. After indexing, the searching and retrieval process is made by matching the query with the indexed terms. In order to solve the problem of false and null information retrieval, the proposed system includes query expansion and document ranking which improves retrieval accuracy.
Keywords:	Inverted index, Similarity Measure, Query Expansion, Document Ranking.
Source:	Journal of Theoretical and Applied Information Technology 10 May 2014 -- Vol. 63. No. 1 -- 2014
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Title:	SCHEDULING TECHNIQUES IN ON-DEMAND GRID AS A SERVICE CLOUD: A REVIEW
Author:	SHAFI�I MUHAMMAD ABDULHAMID, MUHAMMAD SHAFIE ABD LATIFF,MOHAMMED BAKRI BASHIR
Abstract:	The Infrastructure as a service (IaaS) Cloud is a customer oriented cloud environment that offers user with computing infrastructures on-demand to be used based on the Cloud computing paradigm of pay-per-use. When the IaaS is now utilized to build a traditional Grid network within the cloud environment, it is now called an on-demand Grid as a service (GaaS) Cloud. In the on-demand GaaS Cloud, a user may use hundred of thousand of Grid nodes to implement a job, therefore manual scheduling is not a feasible scheduling solution. The main objective of this review is to study the various concepts and scheduling algorithms used for the on-demand GaaS Cloud in relation to the scheduling parameters used by existing researches. We also survey the Cloud infrastructures, Grid middlewares and the issues addressed by different researchers in the past within this domain of research. Our contribution will thus be of assistance in understanding the key scheduling algorithms and parameters for potential future enhancements in this evolving area of research.
Keywords:	Cloud Computing, GaaS Cloud, On-Demand Grid, On-Demand GaaS Cloud, IaaS Cloud, Virtualization
Source:	Journal of Theoretical and Applied Information Technology 10 May 2014 -- Vol. 63. No. 1 -- 2014
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Title:	ARTIFICIAL COOPERATIVE SEARCH ALGORITHM BASED LOAD FREQUENCY CONTROL OF DEREGULATED POWER SYSTEM WITH SMES UNIT
Author:	S.RAMESH KUMAR, S.GANAPATHY
Abstract:	In this paper, the optimal gain tuning of an Integral controller for the solution of Load Frequency Control (LFC) problem in a Deregulated power system is proposed using Artificial Cooperative Search algorithm. Fast acting energy storage devices can effectively damp the oscillations due to sudden load changes in the power system. Hence, Superconducting Magnetic Energy Storage (SMES) units are connected in both areas of the thermal power system for optimal transient performance in deregulated environment. The Artificial Cooperative Search algorithm is a new two-population based search optimization algorithm for optimizing numerical optimization problems. The effectiveness of the proposed Artificial cooperative search algorithm is demonstrated on a two area deregulated thermal power system under different contracted scenarios and load changes. The effect of SMES on LFC operation of deregulated system is also analyzed. The results of the proposed algorithm are shown for different contract scenarios and disturbances.
Keywords:	Artificial Cooperative Search Algorithm, Deregulated power system, DISCO Participation Matrix, Load Frequency Control, Superconducting Magnetic Energy Storage
Source:	Journal of Theoretical and Applied Information Technology 10 May 2014 -- Vol. 63. No. 1 -- 2014
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Title:	FAST FIR ALGORITHM BASED AREA-EFFICIENT PARALLEL FIR DIGITAL FILTER STRUCTURES
Author:	R.P.MEENAAKSHI SUNDHARI, Dr.R.ANITA
Abstract:	In digital systems, the filters occupy a major role. This work describes the design of parallel FIR filter structures using poly-phase decomposition technique that requires minimum number of multipliers and low power adders. Normally multipliers consume more power and large area than the adders. For reducing the area, this filter structure uses adders instead of multipliers since the adder requires low power and less area than the multipliers. Moreover, number of adders does not increase along with the length of parallel FIR filter. Finally the proposed parallel FIR filter structures are beneficial in terms of hardware cost and power when compared to the existing parallel FIR filter structure.
Keywords:	Digital Signal Processing (DSP), Fast Finite-Impulse Response (FIR) Algorithms (FFAs), Symmetric Convolution
Source:	Journal of Theoretical and Applied Information Technology 10 May 2014 -- Vol. 63. No. 1 -- 2014
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Title:	MINING FAQ FROM FORUM THREADS: THEORETICAL FRAMEWORK
Author:	ADEKUNLE ISIAKA OBASA, NAOMIE SALIM
Abstract:	Frequently Asked Questions (FAQ)�s tag is becoming more popular on websites. Research activities have been concentrated on its retrieval rather than construction. FAQ construction can be achieved using a number of sources. Presently, it is mostly done manually by help desk staff and this tends to make it static in nature. In this paper, a comprehensive review of various components that can guarantee effective mining of FAQ from forum threads is presented. The components encompass pre-processing, mining of questions, mining of answers and mining of the FAQ. Besides the general idea and concept, we discuss the strengths and limitations of the various techniques used in these components. In fact, the following questions are addressed in the review. What kind of pre-processing technique is needed for mining FAQ from forum? What are the recent techniques for mining questions from forum threads? What approaches are currently dominating answer retrieval from forum threads? How can we cluster out FAQ from question and answer database?
Keywords:	FAQ, Forum thread, Question answering, mining FAQ, Internet forum
Source:	Journal of Theoretical and Applied Information Technology 10 May 2014 -- Vol. 63. No. 1 -- 2014
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Title:	A NEW SCHEDULING BASED ENERGY EFFICIENT SCHEME FOR WSNS
Author:	S.SAIRA BANU , DR.R.DHANASEKARAN
Abstract:	In recent years, Wireless Sensor Networks are the most popular networks among the other networks. It is a collection of sensor nodes where it contains infrastructure or no infrastructure. It is widely used in military, search and rescue operations etc. Due to the mobility of nodes, packets are dropped without organizing scheduling priority. So, the performance of the networks is totally degraded. To overcome this issue, we proposed New Scheduling based Energy Efficient Scheme (NSEES). It attains both throughput and network connectivity while keeping the nodes moving in dynamic manner. The scheme consists of 4 phases. In first phase, we propose the mobility model where the nodes are moving in a rectangular lattice. In second phase, the multipath routing is used to provide load balancing to improve the throughput. In third phase, the scheduling algorithm was proposed. Here the sensor nodes are assigned with the constant codewords and different time slots. In fourth phase, we proposed new packet format. It consists of scheduling status and connectivity status. We also introduced the energy conservation model to attain minimum energy level to the sensor nodes. By using the extensive simulation results using the discrete event simulator, the proposed NSEES achieves higher packet delivery ratio, connectivity ratio, less overhead and delay than the existing scheme like NMRA, SBYaoGG and AFTMR.
Keywords:	Wireless Sensor Networks)WSN, New Scheduling based Energy Efficient Scheme (NSEES), Smart Boundary Yao Gabriel Graph(SBYaoGG), Adaptive Fault Tolerant Multipath Routing (AFTMR), Scheduling priority, , end to end delay, and mobility model.
Source:	Journal of Theoretical and Applied Information Technology 10 May 2014 -- Vol. 63. No. 1 -- 2014
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Title:	AUTOMATIC MUSIC GENRE CLASSIFICATION USING DUAL TREE COMPLEX WAVELET TRANSFORM AND SUPPORT VECTOR MACHINE
Author:	RINI WONGSO, DIAZ D. SANTIKA
Abstract:	A fast and accurate automatic method for music genre classification is needed to manage a huge number of digital music currently available. However this is a non-trivial task because musical genres remain poorly defined concepts due to subjective human perception. In this experimental study, an attempt to combine Dual Tree Complex Wavelet Transform (DTCWT) based feature and Support Vector Machine (SVM) as classifier is proposed. The study focused on classifying four genres of music i.e. pop, classical, jazz, and rock by using strong features such as mean, standard deviation, variance, and entropy. Data used in the study is obtained from GTZAN Collection Data Sets. Based on the experimental results, the proposed approach produces 88.33% accuracy, which is higher than several previous methods that could only obtain accuracy up to 86.4%.
Keywords:	Music Genre, Classification, DTCWT, Dual Tree, Wavelet, Support Vector Machine
Source:	Journal of Theoretical and Applied Information Technology 10 May 2014 -- Vol. 63. No. 1 -- 2014
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Title:	MARKER TEXTBOOKS FOR AUGMENTED REALITY ON MOBILE LEARNING
Author:	TOUFAN D TAMBUNAN, HERU NUGROHO
Abstract:	Variations learning media in school is to help students understand the material & content being studied. Media like simulation reality can be used as a learning tool to provide learning experiences for students in understanding something that is being studied. In this paper, a design proposed technique will be made learning simulation using mobile augmented reality. The research conducted on learning materials physics and motion at high school. Aims to facilitate students understanding of physics concepts of motion by giving an example of a virtual simulation on mobile applications. Augmented Reality technology used combines a virtual object or 2D and 3D into a real object environment and projecting the virtual objects in real time. We propose the design of an augmented reality system using the student textbook for detecting marker-less augmented. Technique marker-less can simplify the implementation of Augmented Reality applications on textbooks student and implemented in mobile devices. The proposal is expected to learning simulations to help students understand the concept physics and motion through a technology that is easy to use.
Keywords:	Augmented Reality, Marker, Mobile Learning, and Simulation.
Source:	Journal of Theoretical and Applied Information Technology 10 May 2014 -- Vol. 63. No. 1 -- 2014
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Title:	A REFERENCE MODEL OF SECURITY REQUIREMENTS FOR EARLY IDENTIFICATION AND MEASUREMENT OF SECURITY AWARENESS PROGRAM
Author:	Ali Maqousi , Tatiana Balikhina, Kenza Meridji , Khalid T. Al-Sarayreh
Abstract:	In practice, at software/system requirements assembly stages, the focus is regularly on the software security requirements as usually described at the system level this may lead to explicit security-related product which may be implemented as both in system and software. According to the ECSS standards internal security awareness is restricted to avoid illegal access to the software system and confidential data while the external security requirements related awareness is failing to put off the leak of secure output data awareness and illegal processes. In European, ISO 25021 a amount of terms are afforded to describe many types of aspirant security awareness requirements. This paper accumulates and systematizes these security awareness-related requirements into a standards-based reference model of the software security awareness; In the absence of such a model, such security awareness requirements are definitively assigned at software system testing time, stakeholders find out that a number of Security awareness requirements are neglected and additional efforts should be added to implement such awareness�s. Moreover, the proposed model may also be used for identify the functional size of security awareness programs using the ISO 19761 standard. This size may be used for estimation purposes.
Keywords:	Security Requirements, Security Awareness Program, ISO 25021, IEEE-830.
Source:	Journal of Theoretical and Applied Information Technology 10 May 2014 -- Vol. 63. No. 1 -- 2014
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Title:	TRANSIENT STABILITY ENHANCEMENT OF TNEB 400 kV TRANSMISSION NETWORK WITH SVC
Author:	Er.S.SUJATHA, Dr.R.ANITHA, Dr.P.SELVAN, Er.S.SELVAKUMAR
Abstract:	Modeling of the TNEB 400 kV transmission network with SVC using ETAP simulation software is presented in this paper. The system is analyzed under severe disturbance to study the transient behavior by simulating three phase to ground fault at various buses. To enhance the transient stability of the system, SVC are inserted and tested to show the effect of the same on the transient stability under severe disturbances. The study compares the results and effectiveness of SVC for enhancing the transient stability of the system through the critical clearing time using ETAP software. The fault clearing time is increased up to the critical clearing time to test the robustness of the system and the effectiveness of the SVC. Simulation is performed to study the transient behavior of the system. Results show that coordinated modification of exciters, installation of FACTS devices to enhances the stability of the grid to great extent
Keywords:	Power Quality, SVC, Exciter, FACTS, TNEB 400 Kv Transmission Network, Transient Stability
Source:	Journal of Theoretical and Applied Information Technology 10 May 2014 -- Vol. 63. No. 1 -- 2014
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Title:	PATTERN BASED CLASSIFICATION FOR TEXT MINING USING FUZZY SIMILARITY ALGORITHM
Author:	V.SHARMILA, I.VASUDEVAN, Dr.G.THOLKAPPIA ARASU
Abstract:	Pattern mining is an important research issues in data mining with few kinds of applications. Many text mining methods have been proposed for mining useful pattern in text documents. It is mainly focuses to approximately identify the different entities such as terms, phrases and pattern. We use the feature evaluation to reduce the dimensionality of high dimensional text vector. Then the system assigns the frequency to each word, all the weight of the document is used for pattern clustering. Pattern clustering is one of the favorable methods for feature extraction in text classification. In this paper we propose a fuzzy estimated and similarity - based self generating algorithm for text classification. It overcomes the low frequency problem, and also calculates the similarity between the different pattern and word in effective manner. Experimental on RCV1 data collection and TREC topics implement that the proposed result achieves better performance
Keywords:	Text Mining, Feature Clustering, Text Classification, Feature Extraction, Pattern.
Source:	Journal of Theoretical and Applied Information Technology 10 May 2014 -- Vol. 63. No. 1 -- 2014
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Title:	NONRETINOTOPIC PARTICLE FILTER FOR VISUAL TRACKING
Author:	ALEXANDER A S GUNAWAN, ITO WASITO
Abstract:	Visual tracking is the problem of using visual sensor measurements to determine location and path of target object. One of big challenges for visual tracking is full occlusion. When full occlusions are present, image data alone can be unreliable, and is not sufficient to detect the target object. The developed tracking algorithm is based on bootstrap particle filter and using color feature target. Furthermore the algorithm is modified using nonretinotopic concept, inspired from the way of human visual cortex handles occlusion by constructing nonretinotopic layers. We interpreted the concept by using past tracking memory about motion dynamics rather than current measurement when quality level of tracking reliability below a threshold. Using experiments, we found (i) the performance of the object tracking algorithm in handling occlusion can be improved using nonretinotopic concept, (ii) dynamic model is crucial for object tracking, especially when the target object experienced occlusion and maneuver motions, (iii) the dependency of the tracker performance on the accuracy of tracking quality threshold when facing illumination challenge. Preliminary experimental results are provided.
Keywords:	Visual Tracking, Full Occlusion, Bootstrap Particle Filter, Color, Nonretinotopic, Tracking Quality Threshold
Source:	Journal of Theoretical and Applied Information Technology 10 May 2014 -- Vol. 63. No. 1 -- 2014
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Title:	KEYLESS CRYPTOGRAPHY IN GRID COMPUTING USING CYCLIC SHIFT TRANSPOSITION ALGORITHM
Author:	S. GOMATHI, DR.D.MANIMEGALAI
Abstract:	Grid computing involves in the process of forming dynamic virtual organizations and associated resources in which the security is an important factor.Grid computing, is a distributed computing model in which new kind of systems are combined to form a heterogeneous computational resources such as computers, storage space, sensors, and experimental data. The grid can seamlessly, transparently and dynamically supply the computing and data resources when a user wants to request them. In recent years, security issues has become an important concern for grid computing. A strong mutually encrypted and decrypted methodology is needed for user and to prevent the grid resources from being illegally visited. Many cryptographic schemes have been proposed in recent periods for solving the security issues.However, most of them are not ideal for the grid computing technologydue to its computational overhead and the standard of encryption. In this paper, we proposed a keyless Cyclic Shift Transposition Algorithm(CSTA) which uses a combination of shifting and transposition without public or private key to secure the data in the grid computing system. Experimental results shows that the proposed algorithm prevents not only known attacks but also maintains the integrity of data.
Keywords:	Grid Computing, Authentication, Encryption, Decryption, Cipher Text, CSTA.
Source:	Journal of Theoretical and Applied Information Technology 10 May 2014 -- Vol. 63. No. 1 -- 2014
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Title:	RECONSTRUCTION 4D OF BLOOD FLOW MR IMAGING ON ABDOMINAL AORTIC ANEURYSMS WITH THROMBUS SIGNAL
Author:	C. M. KARYATI1, S. WIDIYANTO1, S. MADENDA2, J. HARLAN3, A. B. MUTIARA4
Abstract:	Cine MRI (amplitude image and phase contrast image) has been used to represent the blood flow velocity on the aortic aneurysm. Acquisition of images taken perpendicular to the abdominal aorta is done in free breathing and breath hold at the specified location as needed. Active Contour method or Snake (Deformable Model) has been used to perform automatic contour on amplitude image to detect the surface of the aorta and obtain the required parameter values. Furthermore, image reconstruction is performed on the object's surface from several slices of image segmentation that results with Scalar Volume Data technique (isosurface) in order to obtain the value of blood flow volume. The method has been developed and can represent animation of aortic aneurysm with blood flow velocity on each category of thrombus.
Keywords:	Abdominal Aortic Aneurysm, Deformable Models, Scalar Volume Data, Blood Flow Velocity, Blood Flow Volume
Source:	Journal of Theoretical and Applied Information Technology 10 May 2014 -- Vol. 63. No. 1 -- 2014
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Title:	SEVERITY SCORING OF SYMPTOMS ASSOCIATED WITH CARPAL TUNNEL SYNDROME BASED ON RECALL OF COMPUTER GAME PLAYING EXPERIENCES
Author:	NURUL HIDAYAH MAT ZAIN, AZIZAH JAAFAR, FARIZA HANIS ABDUL RAZAK
Abstract:	The purpose of the present study was to investigate the severity scoring of symptoms that are often associated with carpal tunnel syndrome (CTS). The symptoms were identified based on participants� recalled experiences of computer game playing, specifically on desktop computer platforms. We conducted the assessment among Malaysian university students by using the Boston Carpal Tunnel Questionnaire. The data were collected from 120 students in the age range of 18-25 years. The results indicated that the mean score for symptom severity was 1.59, the standard deviation was 0.49 and most of the cases were mild (N = 88, 73.3%). Meanwhile, the mean score for functional severity was 1.33, the standard deviation was 0.52 and half of the participants described having hand functions affected (N = 62, 51.7%). The same participants were also required to answer questions pertaining to their perceptions of desktop computer gaming. The results showed the participants� agreement with the proposition that a user interface for special needs, such as the needs of hand-impaired users, should be designed (75.0%). There was a significant association between students who were less interested in computer game playing and a feeling of hand discomfort (p < 0.001). This study shows that even though the incidence of symptoms associated with CTS among students is predominant, the symptom severity is in the mild category.
Keywords:	Carpal Tunnel Syndrome (CTS), Boston Carpal Tunnel Questionnaire (BCTQ), Computer-Game Playing, Computer Game, University Students
Source:	Journal of Theoretical and Applied Information Technology 10 May 2014 -- Vol. 63. No. 1 -- 2014
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Title:	SURVEY ON GAP FILLING ALGORITHMS IN LANDSAT 7 ETM+ IMAGES
Author:	ASMAA SADIQ ABDUL JABAR, GHAZALI SULONG, LOAY EDWAR GEORGE
Abstract:	In remote sensing images the gapping is a known phenomenon. There are several reasons for image gaps, e.g. shadowed area for SAR data sets, cloud coverage for optical imagery and instrument errors such as SLC-off failure. On May 13, 2003 the Scan Line Corrector (SLC) of Landsat 7 Enhanced Thematic Mapper Plus (ETM+) sensor failed permanently causing around 20% of pixels per scene not scanned which become an obstacle and limitation for scientific applications of Landsat ETM+ data. Therefore, reconstruction of gap regions is an important issue in remote sensing image processing. This paper presents an inclusive review of methodologies that have been used to recover the gaps in Landsat7 ETM SLC-off images and the studies have been performed in this area. Then, the paper presents the derived conclusions and the directional to more efficiently researchs on Landsat7 SLC-off reconstruction.
Keywords:	Satellite Image, Gap Filling, Landsat7 SLC-Off, Image Reconstruction.
Source:	Journal of Theoretical and Applied Information Technology 10 May 2014 -- Vol. 63. No. 1 -- 2014
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Title:	IAPI QUAD-FILTER: AN INTERACTIVE AND ADAPTIVE PARTITIONED APPROACH FOR INCREMENTAL FREQUENT PATTERN MINING
Author:	SHERLY K.K, Dr. R. NEDUNCHEZHIAN, Dr. M. RAJALAKSHMI
Abstract:	Association rule mining has been proposed for market basket analysis and to predict customer purchasing/spending behaviour by analyzing the frequent itemsets in a large pool of transactions. Finding frequent itemsets from a very large and dynamic dataset is a time consuming process. Several sequential algorithms have contributed to frequent pattern generation. Most of them face problems of time and space complexities and do not support incremental mining to accommodate change in customer purchase behaviour. To reduce these complexities researchers propose partitioned and parallel approaches; but they are compromising on anyone of these. An interactive and adaptive partitioned incremental mining algorithm with four level filtering approaches for frequent pattern mining is proposed here. It prepares incremental frequent patterns, without generating local frequent itemsets in less time and space complexities and is efficiently applicable to both sequential and parallel mining.
Keywords:	Frequent Pattern Mining; Association Rule; Partitioned Database; Parallel Mining; Interactive Mining; Incremental Mining
Source:	Journal of Theoretical and Applied Information Technology 10 May 2014 -- Vol. 63. No. 1 -- 2014
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Title:	A SKETCH BASED IMAGE RETRIEVAL : A REVIEW OF LITERATURE
Author:	HUDA ABDULAALI ABDULBAQI , GHAZALI SULONG , SOUKAENA HASSAN HASHEM
Abstract:	This survey paper reviews the development of Content Based Image Retrieval (CBIR) field and especially the sketch based image retrieval (SBIR) as a core issue. An image is retrieved from the database in several ways in user queries. SBIR is one of the efficient and important methods which are not necessary to have a high skill to draw the query sketch. First, we review the feature extraction, features based matching, and indexing which represents the base of recall images. We also present in the concluding section general limitations of how the methods deal with the image retrieval and our views in image retrieval based on sketch query, which is also the future direction.
Keywords:	SQbs, Content Analysis And Indexing, Indexing methods, Image Descriptors, Sketch Based Retrieval
Source:	Journal of Theoretical and Applied Information Technology 10 May 2014 -- Vol. 63. No. 1 -- 2014
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Title:	PLAGIARISM DETECTION ALGORITHM USING NATURAL LANGUAGE PROCESSING BASED ON GRAMMAR ANALYZING
Author:	ANGRY RONALD ADAM, SUHARJITO
Abstract:	Plagiarism has become one of the most concerned problems since there are several kinds of plagiarism that are hard to detect. Extrinsic plagiarism is now being handled well, but intrinsic plagiarism is not. Intrinsic plagiarism detection is being distracted by the mixed up structure and the using of another word which have the same meaning. Several methods have been research to handle this problem, not only using the pattern reading but also parsing the sentences, but still couldn�t give one more accurate way to detect it. In this research, we propose to use Natural Language Processing (NLP) to create the new way to detect plagiarism. Begin with using syntactic parsing method to parse the suspicious document and find the list of words which have the same meaning with it while considering the Part-Of-Speech (POS) element of that word (semantic parsing). This algorithm also includes creating the new structure of the object before comparing them. The result of this research presents the accuracy comparison between Ferret, WCopyFind, and this algorithm. This algorithm gives the significant way to detect the plagiarism which is proven by T-Test.
Keywords:	Plagiarism Detection, Natural Language Processing, Intrinsic Plagiarism, Syntactic Parsing, Semantic Parsing, Ferret, WCopyFind, Part-Of-Speech.
Source:	Journal of Theoretical and Applied Information Technology 10 May 2014 -- Vol. 63. No. 1 -- 2014
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Title:	SCHEDULING CASE SIMULATION TO PERFORMANCE EVALUATION OF HOSPITAL PRODUCTIVITY
Author:	FIRDAOUS BENNIS, MUSTAPHA AMGHAR, NAWAL SBITI, ABDELMAJID ELOUADI
Abstract:	The block is a strategic and complicated system in the hospital. It uses diversified and expensive human resources, material and information flow. In this field which investments are very expensive, simulation is a tool for decision-making to analyze the operation and detect malfunctions for dimensioning the system and obtaining the performance. We develop in this article a C++ simulation with a theory of queues based on the optimum of the proposed scheduling model. This model consists of a new approach. For scheduling model, we propose a new production model related to the hybrid flow shop hierarchy manufacturer. We solve the scheduling problem using the discrete particle swarm optimization with travelling salesman problem approach. The case study of our approach applied to the national Institute of Oncology in RABAT, Morocco, allowed us to measure the maximum of patients that can be accepted in a day and the allocation of the three machines queues stretchers, Operating rooms and beds among the scheduled elements involved.
Keywords:	Case Simulation, Hospital, Scheduling, Production Model, Hybrid Flow Shop Hierarchy Manufacturer
Source:	Journal of Theoretical and Applied Information Technology 10 May 2014 -- Vol. 63. No. 1 -- 2014
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Title:	HYBRID OPTIMIZATION MODEL OF VIDEO STEGANOGRAPHY TECHNIQUE WITH THE AID OF BIORTHOGONAL WAVELET TRANSFORM
Author:	Dr.M. MARSALINE BENO, Dr.ALOYSIUS GEORGE, VALARMATHI I.R, SWAMY S. M
Abstract:	In this contemporary world of ours, a lot of people have tried to store their multimedia datasets as a contour of binary waves. During transmission, if a prohibited course of action occurs during an intermittent stage of transmission it could lead to delay in accessing data for individuals who have been provided authorization. In order to eliminate this undesired course of action, an efficient method has been adopted. Steganography is an efficient technique that can eliminate this undesired course of action and can be utilized for writing an eclipse missive. In this paper we have proposed an efficient optimal robust video steganography technique using the Biorthogonal Wavelet Transform (BWT) that has been incorporated with a hybrid model of the Artificial Bee Colony (ABC) with Genetic Algorithm (GA).The BWT is utilized to split the image into Low-Low (LL), Low-High (LH), High-Low (HL) and High-High (HH). The optimization technique ABC and GA are then utilized to attain best fitness values in the embedding and extraction processes. Analysis on the proposed technique is carried out with respect to the Peak signal to Noise ratio (PSNR) and the Normalized Correlation (NC). Experimental results show that the proposed technique can achieve good imperceptibility and robustness for an image.
Keywords:	Steganography, Biorthogonal Wavelet Transform, Artificial Bee Colony, Genetic Algorithm, Peak Signal To Noise Ratio, Normalized Correlation.
Source:	Journal of Theoretical and Applied Information Technology 10 May 2014 -- Vol. 63. No. 1 -- 2014
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Title:	SERVICE DIFFERENTIATED CALL ADMISSION CONTROL IN NEXT GENERATION WIRELESS NETWORKS
Author:	CH. SREENIVASA RAO, K.CHENNA KESHAVA REDDY AND D. SRINIVASA RAO
Abstract:	In wireless network, real time flows are prioritized over non-real time flows. Because of this prioritization, non-real time flows endures starvation. Furthermore, real time flows are handled quite generally as no specification is given to emergency flows. To consider all these difficulties, we propose a service differentiated call admission control mechanism for next generation wireless networks. Initially, flows are classified into Transmission Priority flow (TP) and Bandwidth Priority flow (BP) using DiffServ model. TP flows denote real time flows and BP belongs to non-real time flows. Further, both TP and BP flows are again categorized into sub flows based on delay and bandwidth constraints respectively. TP flows are controlled by RIO-C queuing mechanism and BP flows are handled by Time Sliding Window (TSW) algorithm. RIO-C assigns different dropping level for each sub flows and operates independently. On the other hand, TSW manage the BP flows by controlling their packet-sending rate. Thus, our mechanism lessens the starvation of non real time flows and handles emergency calls effectively. By simulation, we prove the efficiency of our mechanism.
Keywords:	Wireless Network, Transmission Priority flow (TP), Call Admission Control (CAC), Quality of Service (QoS).
Source:	Journal of Theoretical and Applied Information Technology 10 May 2014 -- Vol. 63. No. 1 -- 2014
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Title:	EFFORT RATE ON USE CASE POINT METHOD FOR EFFORT ESTIMATION OF WEBSITE DEVELOPMENT
Author:	SHOLIQ , TEGUH SUTANTO , ARIFIN PUJI WIDODO3 , WAHYU KURNIAWAN
Abstract:	The purpose of this research is to gain Effort Rate (ER) on the Use Case Point method (UCP) for estimating effort of the website development. The Effort estimation is an activity that is carried out to predict how amount of effort required to complete a software development project. Effort estimation is very important be know before the project is executed to determine how resources should be spent to complete the project. In this context, resources include the work hours and expenses. Commonly UCP was one of method used to estimate software development effort. The studies that have been conducted by several researchers carried out to estimate the regular software development. Until now, it is not found research using UCP to estimate effort for the website development project. The UCP that is used to estimate the effort of website development projects requires different ER from the ER for regular software project. Effort is obtained by multiplying the value of UCP and ER. The ER value proposed by some researchers varies between 18 to 36 staff-hours per UCP, while ER proposed by Karner was 20 staff-hours per UCP. The final results of this study obtain ER value of 4.41. This value is smaller than the value proposed earlier researchers. Decline of the ER values can decrease value of effort estimation, furthermore decline of value effort estimation will decrease resources that it will be required for software development. This may be due to the website development project which can use Content Management System (CMS) as component or framework that facilitate the development of a website project easier.
Keywords:	Effort Rate, Use Case Points, Website Development Effort
Source:	Journal of Theoretical and Applied Information Technology 10 May 2014 -- Vol. 63. No. 1 -- 2014
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Title:	PRINCIPAL COMPONENT ANALYSIS COMBINED WITH SECOND ORDER STATISTICAL FEATURE METHOD FOR MALARIA PARASITES CLASSIFICATION
Author:	IIS HAMSIR AYUB WAHAB, ADHI SUSANTO, P. INSAP SANTOSA, MAESADJI TJOKRONEGORO
Abstract:	The main challenge in detecting malaria parasites is how to identify the subset of relevant features. The objective of this study was to identify a subset of features that are most predictive of malaria parasites using second-order statistical features and principal component analysis methods. Relevant features will provide the successful implementation of the overall detection modeling, which will reduce the computational and analytical efforts. The results showed that the combination of the principal components of the feature value the correlation to the ASM, and the contrast to the correlation can separate classes of malaria parasites.
Keywords:	Features, PCA, Identify, Classification, Malaria
Source:	Journal of Theoretical and Applied Information Technology 10 May 2014 -- Vol. 63. No. 1 -- 2014
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Title:	PERFORMANCE ANALYSIS OF HARMONIC REDUCTION BY SHUNT ACTIVE POWER FILTER USING DIFFERENT CONTROL TECHNIQUES
Author:	R. VENKATESH, S.DINESH KUMAR, R.SRIRANJANI, S.JAYALALITHA
Abstract:	In modern day power systems the introduction of harmonics due to the presence of non-linear load such as inverters, rectifiers, saturation transformer, electromagnetic interference etc., affects the power quality in distribution systems. This paper is aimed at improving the power quality using shunt active power filter (SAPF). Active filters implemented with the different control techniques under different load conditions are simulated by MATLAB-SIMULINK and their performances are compared.
Keywords:	Harmonics, Power Quality, Active Filter, Non-Linear, Matlab-Simulink.
Source:	Journal of Theoretical and Applied Information Technology 10 May 2014 -- Vol. 63. No. 1 -- 2014
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