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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
October 2014 | Vol. 68 No.3

Title:	ENERGY AWARE GRID RESOURCE ALLOCATION BY USING A NOVEL NEGOTIATION MODEL
Author:	R.SURENDRAN, B.KEERTHI SAMHITHA
Abstract:	The grid resource allocation is the important aspect of the grid computing. They are used to meet user requirements in the resource sharing grid environment. In this paper we review literature on market based resource allocation by using novel negotiation model in the grid environment. The negotiation model is the gain percentage between the bilateral or multi lateral agents in the grid computing. In grid computing, computational grid resource allocation is a major problem. To address this problem, a new novel negotiation model is innovated by using energy aware process in grid computing. This paper is mainly guided by 7 factors in energy aware using new novel negotiation model in grid computing. They are as follows (1) The number of negotiator trading partners (2) Number of negotiator competitors or job schedulers (3) Negotiator time preferences (4) Availability in the negotiator resource brokers (5) Negotiator proposal deviation from the average of its cluster usage (6) Previous concession behavior of negotiator trading partner (7) Energy aware resource allocation process by using new novel negotiation model.
Keywords:	Grid computing, Resource allocation, Energy aware process, Resource sharing, Grid lets, Negotiation process.
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2014 -- Vol. 68. No. 3 -- 2014
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Title:	ANTENNA DESIGN FOR WIMAX APPLICATIONS USING ARTIFICIAL BEE COLONY ALGORITHM
Author:	KANTIDA PREETHI RATNA CHRISTY PRIMSON, DR. R.ANITA
Abstract:	In wireless communication system, antenna plays as an important component for radiating and receiving the radio waves, where at transmission end and receiving end, respectively. Particularly, the microstrip antennas, which are in the form of integrated circuit, are decisive one to possess the major characteristics of antenna. In this work, a novel design for microstrip antenna is proposed. The design is determined by optimal selection of dimensions, which represent the length and width, of the antenna structure. To optimize the dimensions, Artificial Bee Colony algorithm is proposed in our work. The designed antenna is suitable for the WLAN and WiMAX applications. The experimental results demonstrated that the designed antenna gives ideal radiation characteristics over the operating bands. Subsequently, the performance is compared in detail with the existing designs.
Keywords:	Microstrip Antenna, Parameter Optimization, Neural Network, Artificial Bee Colony Algorithm, Wimax.
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2014 -- Vol. 68. No. 3 -- 2014
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Title:	A NOVEL APPROACH FOR SEGMENTING COMPUTER TOMOGRAPHY LUNG IMAGES USING ECHO STATE NEURAL NETWORKS
Author:	DR.Z. FAIZAL KHAN, DR. S. VEERAMALAI, DR.G.NALINI PRIYA, M.RAMESH KUMAR, A. NARESH KUMAR. 6DR A. KANNAN
Abstract:	Segmentation is an important step for finding out the different portions of an image. Existing segmentation algorithms have involved many stages like elimination of blood vessels, tissues and finally showing the nodule in the segmented image. This paper proposes new segmentation technique using recurrent Echo State Neural Network (ESNN) method on computer tomography (CT) lung image. ESNN has been chosen in this work since it reduces the number of steps in segmentation to identify the presence of nodules in the CT lung image. The performance of ESNN segmentation has been shown to be the best when compared with other conventional segmentation algorithms like �Sobel�, �Prewitt�, �Robertz�, �Log�, �Zerocross�, �Canny� and Contextual clustering. Matlab regionprops function has been used as one of the criteria to show the performance of segmentation algorithms. From this research work, it has been observed that the segmentation accuracy of the proposed algorithm has been achieved to 84.40%.
Keywords:	Echo State Neural Network, Contextual Clustering, Segmentation Performance, CT Lung Image.
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2014 -- Vol. 68. No. 3 -- 2014
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Title:	AN INNOVATIVE ALGORITHM FOR FEATURE SELECTON BASED ON ROUGH SET WITH FUZZY C-MEANS CLUSTERING
Author:	T.SRIDEVI, K.SHYAMALA , A.MURUGAN
Abstract:	Feature selection is a fundamental problem in data mining, especially for high level dimensional datasets. Feature selection is a process commonly used in machine learning, wherein subsets of the features from the original set of features are selected for application of a learning algorithm. The best subset contains the minimum number of dimensions retaining a suitably high accuracy on classifier in representing the original features. The objective of the proposed approach is to reduce the number of input features thus to identify the key features of breast cancer diagnosis using fuzzy c-means clustering (FCM), K-nearest neighbors (KNN) and rough set. The results show that the hybrid method is able to produce more accurate diagnosis and prognosis results than the full input model with respect to computational complexity and classification accuracy.
Keywords:	Machine Learning, Pattern Recognition, Feature Selection, FCM, Outlier Detection, Classification.
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2014 -- Vol. 68. No. 3 -- 2014
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Title:	ADAPTIVE NEURO FUZZY INFERENCE SYSTEM FOR MONTHLY GROUNDWATER LEVEL PREDICTION IN AMARAVATHI RIVER MINOR BASIN
Author:	G. R. UMAMAHESWARI, Dr. D. KALAMANI
Abstract:	Adaptive Neuro Fuzzy Inference System (ANFIS) approach is employed in this present study to observe its applicability on Prediction and Forecasting of monthly Groundwater level Fluctuation in the study area (Amaravathi River Minor Basin). Study area encompasses of heavy abstraction of groundwater due to domestic, industrial and irrigation prospects which will leads in abrupt depletion of groundwater and crises on groundwater utility in future. The specific objectives are developed in the present study is to study the condition of groundwater pattern in the study area though it concern with many practical constraints. ANFI system is one of the developing powerful tools to predict such heavy constrained problem with time series analysis by hybrid technique. First part of the study is to identify the best ANFIS model which will replicate the exact behavior of groundwater system through tuning of parameters by fuzzy subset relationship and satisfying five Statistical measures (RMSE, R2, CE, COC and MBE) during training and testing processes for the duration of 2005-13. Second part of the study is to forecast the groundwater fluctuation for next one year (2014) from the identified ANFIS model.
Keywords:	Groundwater Modeling, Groundwater fluctuation, ANFIS, Training, Statistical measures, RMSE, Forecasting
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2014 -- Vol. 68. No. 3 -- 2014
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Title:	MULTI-OBJECTIVE CROSS-LAYER BASED MULTIPATH ROUTING PROTOCOL IN MANET
Author:	M.ANURADHA , Dr.G.S.ANANDHA MALA
Abstract:	Mobile Ad Hoc Networks (MANETs) have unique challenges in the routing protocols like selecting a high energy efficient route to transmit the data packets between the nodes. To overcome these challenges in the paper we have proposed an approach Multi-Objective Cross-layer based Multipath Routing in MANET. In this approach the routes for the transmission of data packets are selected using hybrid routing. Also a cross-layer metric is been derived based on the Expected Transmission Time (ETT), Residual Energy and Load Balancing Factor. This cross-layer metric is combined with the hybrid routing protocol in order to find an optimum route based on the cross-layer metric.
Keywords:	MANETs, Hybrid Routing, Expected Transmission Time, Residual Energy and Load Balancing Factor.
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2014 -- Vol. 68. No. 3 -- 2014
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Title:	BRAIN TUMOR DETECTION AND CLASSIFICATION OF NORMAL, ABNORMAL IN MRI IMAGES
Author:	R.KARUPPATHAL, Dr.V.PALANISAMY
Abstract:	The brain is the foremost most a piece of the focal sensory system. The area of tumors in the brain is one of the elements that figure out how a mind tumor impacts an individual's working and what manifestations the tumor causes. Preparing of attractive thunder images (MRI) is one among the parts of the picture transforming in restorative field, which is the most rising field from past few days. Manual division of mind tumor is lengthy and testing assignment. The tumor discovery is frequently a preparatory stage to take care of the division issue. In this paper, it is described that the detection of the brain tumor using Image Binary Operations. The segmented tumor can be classified using SVM classifier according to the feature values extracted from the segmented image to find performance of proposed approach. Picture division gets more critical while ordinarily managing medicinal images. The proposed procedure could be proficiently connected to discover and concentrate the brain tumor from MRI images acquired from patient's information base. It ends up being convenient instrument for the doctors working in this field. The simulation results show that the proposed approach gives better result than the existing approach such as SOM based image segmentation.
Keywords:	Brain Tumor; MRI; Binary Operators; Image Segmentation; SVM Classifier.
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2014 -- Vol. 68. No. 3 -- 2014
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Title:	AN EFFICIENT DICOM IMAGE RETRIEVAL METHOD BASED ON FEATURES AND NEURAL NETWORK CLASSIFICATION
Author:	B. DARSANA, Dr.G. JAGAJOTHI
Abstract:	In latest years, Bio medical image retrieval hasturn into an interesting area of research in medical fields because of the accessibility large image databases.For the analysis of diseases, medical research and for education, these images continue as an essential sthece of functional and anatomical information.Due to the accessibility of a huge amount of images in the database, exact retrieval of the query image seems to be a little complicated on the other hand. Therefore a great number of retrieval techniques have been executed with the motto of offeringcompetent and efficient multimodal DICOM image retrieval. The most importantaim of this research is to devise an efficient and competent image retrieval approach which is prone to be fault free. The suggested method is a classification based multimodal DICOM image retrieval where the classification done regarding the features extracted. With the assist of improved neural network, the classification of the images is made where optimization process is integrated for theight calculation which morehelps in efficient classification of images. They have moreoverutilized the relevance feedback system for superior classification results. The RF based similarity method is offered where for each iteration the feature the weights are revised. The high level attributes are extracted so that it can produceautomatic relevance feedback to the system which moredevelops the retrieval process.
Keywords:	Bio Medical Image, DICOM Image Retrieval, RF Based Similarity Method
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2014 -- Vol. 68. No. 3 -- 2014
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Title:	A NOVEL MICROARRAY GENE RANKING AND CLASSIFICATION USING EXTREME LEARNING MACHINE ALGORITHM
Author:	T.REVATHI , DR.P.SUMATHI
Abstract:	The research studies the suitability of Extreme Learning Machines (ELM) for resolving bioinformatics and biomedical classification problems. It is used for some direct multicategory classification to solve those problems. The cancer diagnosis has three benchmark microarray datasets for evaluated the multi-category classification performance of ELM. In order to test their overall performance, an experimental study is presented based on three gene microarray datasets found in bioinformatics and biomedical domains. This research work use this ELM for quick performance and it is better accuracies. The result can be produces with minimum time compared to artificial neural networks methods. This method shows promising classification accuracy for all the test data sets. It also shows the relevance of the selected genes in terms of their biological functions.
Keywords:	Cancer classification, DNA microarray gene expression data, Extreme learning machine.
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2014 -- Vol. 68. No. 3 -- 2014
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Title:	SLEEP & WAKEUP TECHNIQUE BASED CLUSTERING PROTOCOL-PERFORMANCE EVALUATION IN WIRELESS SENSOR NETWORK
Author:	Dr.M.SENTHIL, Dr.P.SIVAKUMAR, T.C.INDHUMATHI
Abstract:	In order to achieve data information, the Sensor Node�s should form into small groups as clusters in wireless sensor network. In Multi-hop sensor network, the Base-Station (sink) is might not be considered. That is why, the hot-spot problem may occur in this network. In this paper, we analyze the sleep & wakeup approach, in order to avoid the hot spot (WLAN) problem, which aims to increase the network lifetime using energy conservation as well as increasing packet delivery ratio (PDR). In this technique, C-H (cluster-head) has been selected based on energy level & Base-Station distance. Using this technique, we can improve the energy conservation & PDR up to 63%, when compare to that of FCA (fuzzy clustering algorithm) according to their parameters of FND (First Node Dead) and HNA (Half of the Node Alive) parameter for each algorithm. Our simulation results shows that the sleep & wakeup approach is better and energy efficient clustering protocol based on their parameters.
Keywords:	WSN; clustering; FCA; Sleep & Wakeup Technique.
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2014 -- Vol. 68. No. 3 -- 2014
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Title:	LABVIEW BASED TUNING OF PI CONTROLLERS FOR A REAL TIME NON LINEAR PROCESS
Author:	M.KALYAN CHAKRAVARTHI, NITHYA VENKATESAN
Abstract:	The phenomenal growth that has been evidently seen in the last two decades has brought a multifold development in the process industry. The experts have always focused upon the control of the level and other process parameters. In this paper we have chosen a real time Single Spherical Tank Liquid Level System (SSTLLS) for our investigation. The aim of this paper is to compare the design and implementation of Ziegler-Nichols (ZN) and Skogestad�s tuning based PI controllers for the SSTLLS using LabVIEW and NI-DAQmx 6211 data acquisition card. The real time model identification and Graphical User Interface (GUI) are discussed and their PI Controller implementation using LabVIEW are outlined.
Keywords:	Single Spherical Tank Liquid Level System (SSTLLS), Graphical User Interface (GUI), PI Controller, Z-N Method, Skogestad�s Method, LabVIEW.
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2014 -- Vol. 68. No. 3 -- 2014
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Title:	MEMS POWER SWITCH IMPLEMENTATION USING SUGAR SIMULATOR
Author:	S. KRISHNAVENI, DR. S. RAVI
Abstract:	In this work, a study of MEMS (Micro electro mechanical system) and SUGAR simulator is presented. A MEMS power switch is implemented and the insertion loss, return loss with respect to frequency and ON and Off states of these loss with respect to frequency is studied. Ultra low ON state insertion loss, high off state isolation and high RF signal power handling characteristics are achieved .Many of the inherent problems associated with the more traditional switches is overcome with this power MEMS switch. The SUGAR simulator is used to obtain the performance analysis of the MEMS power switch.
Keywords:	MEMS, Power Switch, SUGAR Simulator,
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2014 -- Vol. 68. No. 3 -- 2014
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Title:	CLUSTER BASED NEIGHBOR COVERAGE ROUTING SCHEME FOR MANET
Author:	DR.A.RAJARAM, SHAJAN JOSEPH
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. In this research work, it is developed that cross layer based multipath neighbor routing protocol to attain network connectivity and load balancing among the mobile nodes. In this phase, multipath routing is deployed to overtime the failures and breakages of links and paths. For reducing energy consumption, the energy consumption model has been proposed to keep maximum energy efficiency of mobile nodes. It is also calculated that the rebroadcast delay and rebroadcast probability of the proposed protocol. It uses the upstream coverage ratio of an RREQ packet received from the previous node to calculate the rebroadcast delay, and use the additional coverage ratio of the RREQ packet and the connectivity factor to calculate the rebroadcast probability in our protocol, which requires that each node needs its 1-hop neighbourhood information. By using the experimental result this work achieves more connectivity, lifetime and less overhead than the existing schemes NCPR and DPR and AODV.
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 31^st October 2014 -- Vol. 68. No. 3 -- 2014
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Title:	FACE RECOGNITION WITH SINGLE SAMPLE PER CLASS USING CS-LBP AND GABOR FILTER
Author:	A.USHA RUBY, DR.J.GEORGE CHELLIN CHANDRAN
Abstract:	In face recognition Local appearance based methods has achieved greater performance. In this paper, we have proposed single sample per class using Center Symmetric Local Binary Pattern and Gabor Filter. Gabor Filter extracts the textual feature and generates a binary face templat and the binary face template acts like a mask to extract local texture information using Center Symmetric Local Binary Pattern. Face features which are evaluated from CS-LBP has better performance.
Keywords:	Face Recognition, Center Symmetric Local Binary Pattern (CS-LBP), Principle Component Analysis (PCA), Linear Discriminate Analysis (LDA), and Independent Component Analysis (ICA), Binary Face Template, Single Sample Problem.
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2014 -- Vol. 68. No. 3 -- 2014
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Title:	IMPLEMENTATION WITH MULTITHREADING PROCESS USING EMBEDDED SYSTEM
Author:	K R JAYACHITRA, Dr. L C SIDDANNA GOWD
Abstract:	In Embedded system based applications, the evolution of multicore architectures offers many performance enhancements like speed, concurrency, real-time implementation support etc. However, design issues like critical section handling, selecting optimal number of threads, racing condition avoidance, concurrent tasks handling etc. needs to be addressed. In this work, these issues are implemented for multicore architecture using openMP tool. Barrier region limitations are removed to exploit concurrency and demonstrated applications include are, (i) array filling multitasking (ii) sorting of number, and (iii) sorting of strings. In all the above examples, the performance of multicore is enhanced compared to single core.
Keywords:	Multicore, Openmp, Racing, Multithreading, Embedded System.
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2014 -- Vol. 68. No. 3 -- 2014
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Title:	DESIGN OF LOW POWER DISCRETE TIME SIGMA-DELTA MODULATOR FOR ANALOG TO DIGITAL CONVERTER
Author:	RADHOUANE LAAJIMI
Abstract:	Modulator is one of the most significant building-blocks in integrated discrete time component used in Sigma-Delta (ΣΔ) analog to digital converter. In this paper a novel structure of a switched-capacitor discrete time first order modulator Sigma-Delta is implemented at a supply voltage of 3 V. In addition, our design uses a Miller operational transconductance amplifier topology for low power consumption. The designed modulator has a resolution of 8 bits at a sampling frequency of 10.24 MHz. Eventually the modulator consumes only 1.16 mW of power under 3V. The core chip size of the modulator without bonding pads is 0.008 mm2 (76 �m x 110 �m) by using the AMS 0.35 �m CMOS technology.
Keywords:	Sigma-Delta modulation, CMOS technology, switched-capacitor circuits, Analog-to-digital (ADC), Analog circuit design.
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2014 -- Vol. 68. No. 3 -- 2014
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Title:	EVALUATION ON THE EFFECTIVENESS OF THE WEB TECHNOLOGY USAGE IN PROMOTING AND MARKETING INDONESIA TOURISM
Author:	SUROTO ADI
Abstract:	One indicator of success in tourism is reflected in the number of foreign tourists visiting Indonesia. Although the number and type of tourism objects in Indonesia is higher than the neighboring countries, the number of visits to Indonesia is far below the neighboring countries such as Malaysia, Singapore, and Thailand. The usage of websites in Indonesia tourism has been widely used, but the results are not satisfactorily yet, especially in supporting tourism promotion and marketing. The study aimed to evaluate the use of websites to support promotion and marketing Indonesia tourism which are carried out by tourism provincial and district offices, travel agencies, hotels and tourist destinations. The methodology used to determine the performance of website is mBSC (modified Balanced Scorecard), whereas to analyze the aspects needed to be strengthened in accordance with the functions of office and business tourism is descriptive statistical method. The data were taken from websites from offices of tourism, travel agencies, hotels, and tourist destinations. The results of the research are proposed to assess and formulate model of integrated website application development for promoting and marketing Indonesia tourism business.
Keywords:	Tourism, Integrated Website, Promotion And Marketing
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2014 -- Vol. 68. No. 3 -- 2014
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Title:	DC- DC BOOST CONVERTER FOR SOLAR POWER APPLICATION
Author:	P.MUTHUKRISHNAN, R.DHANASEKARAN
Abstract:	A Conventional Boost Converter is not capable for obtain a high voltage gain even extreme duty cycle maintain the triggering circuit diagram. In order to increase the voltage gain for the new Boost converter from the solar power application. In this paper boost converter specialty is achieved 10 times that of input voltage and more than 10 times of input voltages is possible from output side by using coupled inductor and parallel capacitor. The proposed boost converter output voltage is obtained 600V from source input of 60V and output power is 900 watts. The output voltage is high and voltage stress across the active switch is minimized and output ripples also minimized. In this paper the high power rating from low input voltage rating of the input source and also capable to go for AC power application whenever adding the inverter circuit to the main circuit diagram.
Keywords:	Boost Converter, Coupled Inductor, Parallel Capacitor, High Voltage Gain, Soft Switching.
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2014 -- Vol. 68. No. 3 -- 2014
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Title:	GA CONTROLLER BASED CUK CONVERTER IN SWITCHING LOSS REDUCTION FOR PHOTO VOLTAIC ENERGY SYSTEMS
Author:	K. KAVITHA , DR. K. KRISHNAMOORTHI
Abstract:	To overcome the conduction and switching losses generated by earlier converter designs, we propose a new genetic algorithm based Cuk converter design which increases the performance of photovoltaic system. The objective is to produce high-efficiency, voltage and current of a PV system with help of GA Controller. The requirement of continuous and controlled flow of voltage has met with the support of GA controller and the capacitors present with the schematic design helps this requirement to be met in an efficient way. The MOSFET controls the voltage in bi-direction and the capacitors help to supply the voltage in a steady flow. The capacitors get charged both in serial and parallel execution of the circuit and the MOSFET controls the flow of voltage. The conduction losses are reduced by using GA controller in closed loop condition which reduces the switching losses and increases the output energy.
Keywords:	DC-DC converter, Genetic Algorithm, MOSFET, Switching Loss, Photovoltaic energy
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2014 -- Vol. 68. No. 3 -- 2014
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Title:	HUMAN ACTIVITIES RECOGNITION VIA FEATURES EXTRACTION FROM SKELETON
Author:	GHAZALI SULONG, AMMAR MOHAMMEDALI
Abstract:	Human activities recognition (HAR) enabling the understanding of basic human actions from still images has overriding importance in computer vision and pattern recognition for sundry applications. We propose a novel method for HAR by taking out the skeleton from the image for extracting useful features. This approach comprised of two steps namely (i) an automatic skeletal feature extraction and partitioning into two parts as block that determines angles between terminals and (ii) HAR by using non-linear Support Vector Machine (SVM). The model performance is evaluated using three available challenging datasets such as INRIA, KTH and Willow-action all with seven activities and each possessing eight scenarios. The images are normalized in (64x128) pixels format from digital silhouette via circle algorithm. Our method efficiently achieves a recognition rate as much as 86% with excellent features. The proposed model being highly promising compared to the existing one may contribute towards the development of computer vision architecture.
Keywords:	HAR, Features, Skeleton, Support Vector Machine, Still Image.
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2014 -- Vol. 68. No. 3 -- 2014
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Title:	HARMONIC CURRENT SUPPRESSION BY SHUNT ACTIVE POWER FILTER USING FUZZY LOGIC CONTROLLER
Author:	AZIZ BOUKADOUM, TAHAR BAHI
Abstract:	Harmonic current is known to be source of several problems in electrical power system due to the intensive use of the non-linear loads such as AC/DC converters. The harmonic current and reactive power consumed cause poor power factor and distort the supply voltage at the common coupling point or customer service point. Passive filters have been used as a solution to solve harmonic current problems, but they present several disadvantages, such as resonance affecting the stability of the system. The alternative solution, are an active power filters (APfs) that provides an effective solution for harmonics suppression and reactive power compensation. The performance and effectiveness of the active power filters depends upon different control strategies. In order to eliminate harmonics current generated in the power supply system by three-phase full-bridge diode rectifier converter and to provide a unitary power factor in the system. This paper present a novel compensation method based on fuzzy logic controller for shunt active power filter (SAPF). The principle of the Instantaneous Reactive Power Algorithm is applied for extracting the reference compensating currents of the shunt power converter. The fuzzy logic controller (FLC) is applied to regulate the DC capacitor voltage in order to improve the dynamic of the active power filter and to ensure sinusoidal main supply currents, confirmed to the international standards recommendation of IEEE 519 on harmonics levels. The simulation results are presented and interpreted.
Keywords:	Harmonic, Fuzzy logic controller, Hysteresis, Shunt active power filter, Power quality.
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2014 -- Vol. 68. No. 3 -- 2014
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Title:	AUTONOMOUS ROBOT HOME SECURITY SURVEILLANCE USING ATMega 2560 MICROCONTROLLER
Author:	C.YAASHUWANTH
Abstract:	The primary concern of every household when they leave their home is safety of the home as well as its protection. This paper deals with creating a solution for such a situation in the form of a small robot that can take care of the security in the home. The system uses several sensors that are mounted on it as well as in the home so that it can detect any breach in security or any abnormal situation in the household and inform the owners immediately as well as raise an alarm so that those nearby can take effective actions. The system can be used in cost efficient manner and can handle multiple operations. The main feature of the system is when it detects obstacles it avoids the obstacle, after avoiding the obstacle it again finds the black line path and returns to the original path. The robot uses an ATMega2560 as its microcontroller since it provides higher transmission rate and higher clock speed with more memory in terms of RAM and Flash. This enables the system to respond faster when compared to using other microcontrollers.
Keywords:	Sensors, ATMega2560, Robot, Security, Microcontrollers)
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2014 -- Vol. 68. No. 3 -- 2014
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Title:	COMPARATIVE STUDY OF SMOOTHING TECHNIQUES ON INDONESIAN AND ENGLISH LANGUAGE MODELS
Author:	ISMAIL
Abstract:	Indonesian language is one of Austronesia languages. It differs from English language, which is one of isolating languages. For Indonesian language, there has been no study of smoothing effect in its language model. Although from mathematical point of view, language model has no direct dependency to specific language, Whittaker [1] showed that, for Russian and English, there are differences in smoothing effect for those languages. In this paper, we studied various smoothing techniques in language model for Indonesian language and compared it to that of English language. Our experiments showed that smoothing effects for statistical Indonesian language model have better perplexity reduction than that of English language. We showed our results in terms of cross-entropy differences among various techniques relative to Katz smoothing.
Keywords:	Smoothing Techniques, Language Model, English and Indonesian Languages, SRILM
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2014 -- Vol. 68. No. 3 -- 2014
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Title:	LATERATION TECHNIQUE FOR WIRELESS INDOOR POSITIONING IN SINGLE-STOREY AND MULTI-STOREY SCENARIOS
Author:	LEE CHIN VUI, ROSDIADEE NORDIN
Abstract:	The focus of this research is to develop a technique for indoor localization for tracking activity using Wireless Local Area Network (WLAN). The research is conducted by studying the characteristic of the WiFi signal propagation inside a multi-storey building during static condition and compare with walking conditions to compare the accuracy of the tracking technique. The results show the characteristic of the graph pattern from the Received Signal Strength Indicator (RSSI) measurement between static and walking conditions around the considered building area. The result shows the RSSI pattern is statistically anomaly and proven that this technique can be applied for wireless indoor localization applications such as hospitalization, logistic tracking, shopping recommendation and future smart house.
Keywords:	Indoor Localization, Lateration, RSSI, Wireless, WLAN,
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2014 -- Vol. 68. No. 3 -- 2014
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Title:	CORRELATIVE ANALYSIS ON ENHANCED DESCENDENTS OF LEACH PROTOCOL FOR WIRELESS SENSOR NETWORKS
Author:	R.M.DILIP CHARAAN, Dr.R.RAMESH
Abstract:	Wireless sensor networks (WSN) consist of a collection of sensor nodes sensing and storing data. In the WSN, the sensor nodes have limited transmission power and processing capability due to the limited energy resources. Infrastructure creation and data dissemination process in the Wireless sensor networks have been conventionally treated as the independent problems. Cluster Head selection plays a vital role in design of routing protocols. In this routing protocol individual and random mobile nodes are connected with the solar panel. Though we have many number of mobile hosts in the wireless network, connected with solar equipped system are capable to act as Cluster Head. To reduce the computational and communication costs we invoke an on-demand Cluster Head selection. However, the challenge is about to choose the Cluster Head among solar connected nodes and also various hierarchical routing protocol that are derived from Low Energy Adaptive Clustering Hierarchy (LEACH) have been analysed and surveyed. This paper also highlights the advantages and drawbacks of various Hierarchical routing protocols. The performance is evaluated using Network Simulator-2 and the results are shown.
Keywords:	Wsn,Routing,Hierarchical,Cluster Formation,Leach,Alive Nodes,Packet Delivery Ratio
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2014 -- Vol. 68. No. 3 -- 2014
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Title:	A LOW LATENCY ENERGY AWARE GTS ALLOCATION SCHEME FOR WIRELESS NODES IN ROAD TRANSPORTATION NETWORKS
Author:	Ms. RAMYA, Dr. UMA RAJARAM Dr. S.RAVI
Abstract:	Past studies in WSN have concentrated on data routing, energy efficiency, data latency and protocol development. In this paper, a low latency guaranteed time slot MAC protocol based on data priority with a bias for low energy nodes is proposed. The intelligent sensors collect event based data and polled data in a target area. The reduction in data latency is based on forwarding data packets which have a higher priority in a wireless network. DP-MAC has been designed to address the data latency problem to ensure that emergency and hazardous events in a transportation network are reported with minimum delay. The design of such a scheme is based on the collision free TDMA mechanism. The data priority is determined based on the type of event and the node lifetime energy information. The analytical and simulation results are presented in this scheme and a comparison is made with a network that treats all the nodes and their data packets without bias. The improvement in data latency for prioritized messages specifically for emergency information in automotive land based networks is presented.
Keywords:	Wireless Sensor Network (WSN), Data Priority MAC protocol (DP-MAC), SIFS, TDMA.
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2014 -- Vol. 68. No. 3 -- 2014
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Title:	REDUCING STUDENT�S LEARNING DURATION ON ENGINEERING FINAL PROJECT BY IMPLEMENTING FINK�S TAXONOMY ON E-LEARNING
Author:	SRI SUNING KUSUMAWARDANI, LUKITO EDI NUGROHO, ADHI SUSANTO, AMITYA KUMARA, HUTOMO SURYO WASISTO, ULISES CORT�S
Abstract:	In this work, a developed e-learning system for the final project of engineering undergraduate students is evaluated as a miniature of engineering education in one of the Indonesian universities (i.e., Universitas Gadjah Mada). Several challenges faced during the system realization have been accommodated by involving the use of both learning materials and experiences. For its problem-solving approach, Fink�s taxonomy has been combined in a system with semantic technology, based on the ontology method. Therefore, the results of ontology design can then be integrated to the learning management system (LMS) of Moodle, which allows semantic resource queries. By means of the e-learning experimental results with six components of Fink�s taxonomy as the measurement aspects, it is obviously shown that the e-learning system has significantly influenced the application, learning how to learn, integration, and foundational knowledge aspects. Moreover, it provides a strong indication that the realized system can assist engineering undergraduate students to reduce the required duration of their final projects.
Keywords:	Project Based Learning, Significant Learning, Engineering Education, Evaluation E-Learning, Final Project
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2014 -- Vol. 68. No. 3 -- 2014
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Title:	SAIVMM: SELF ADAPTIVE INTELLIGENT VMM SCHEDULER FOR SERVER CONSOLIDATION IN CLOUD ENVIRONMENT
Author:	S.SURESH , S.SAKTHIVEL
Abstract:	Cloud computing is an on-demand resource provisioning technology and server virtualization act as a driving force of cloud. Virtualization consolidates multiple physical machines into one machine, thereby cut cost and improves efficiency of data center. However, as all virtual machines (VM) share the same physical resources, contention for shared resources cause significant variance in observed system response time and throughput. Diverse and unpredictable workloads in cloud environments, needs resource allocations to be continuously optimized to ensure the hosted services meet their service level objectives (SLO). However, the current VMM algorithms are more oriented with providing fair access to the VMs; Lack the ability to adaptively determine the effects of changing resource allocations on the performance of the hosted IT services. Furthermore, as hardware getting evolved and multi core processor technology has increased density of processor cores in a computer at a faster rate, effective usage of the resources becomes a great challenge to software. This is a major bottleneck in cloud applications where performance plays a vital role for user acceptance. Taking this all into account, the paper propose a novel system using meta-heuristic combinatorial search techniques that automatically regulates the VMM CPU scheduler related to the applications on-the-fly with dynamic changes in the environment to maximize throughput and minimize response time. We used this resource allocation algorithm in an evaluation, consist of various scenarios with synthetic workloads. Simulation based results indicate that proposed model improves CPU utilization and make the best tradeoff between resource utilization and performance by 2% on average and up to 6% compared to the default VMM scheduler configurations. The proposed model discussed in this paper can readily be extended to a multi-tier cloud computing environment applications to reduce the overall performance delay.
Keywords:	Cloud computing, Virtualization, VMM Scheduling, Workload, Simulation
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2014 -- Vol. 68. No. 3 -- 2014
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Title:	PRIVACY PRESERVING COLLABORATIVE DATA MINING USING STEGANOGRAPHY AND ENCRYPTION
Author:	HARE RAM SAH, G.GUNASEKARAN
Abstract:	Data collection is an essential step in data miningprocess. Collecting data of varying nature and still preserving privacy is essential for many applications. Privacy concerns maypreventdirect sharing of data andhow multipleparties collaboratively conduct data mining withoutbreaching data privacy presents a challenge.Cryptography involves converting a message text into anunreadable cipher and steganography embedsmessage into a cover media and hides its existence.Both these schemes are effectivelyimplemented in image files. In this paper an advanced system of encrypting datathat combines the features of cryptography and steganography along with privacy preservation is presented.A case study with medical image is also presented. The details of the person�s medical image along with clinical interpretation is encrypted, stegano and stored in the database. Key based retrieval technique is used to recover the hidden details. The advantage of this scheme is that the stegano can operate on encrypted texts also and hence offers a double layer data protection.
Keywords:	Privacy Preserving, Data mining,Steganography,Image Encryption
Source:	Journal of Theoretical and Applied Information Technology 31^st October 2014 -- Vol. 68. No. 3 -- 2014
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