		FeedBack \| Contact Us \| Links \| Site Map

Welcome to Journal of Theoretical and Applied Information Technology

Submit Paper / Call for Papers

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

Journal of Theoretical and Applied Information Technology
November 2016 | Vol. 93 No.1

Title:	A TWO-STAGE INTELLIGENT COMPRESSION SYSTEM FOR SURVEILLANCE VIDEOS
Author:	Kyaw Kyaw Htike
Abstract:	Surveillance videos are becoming immensely popular nowadays due to the increasing usage of surveillance systems in various places around the world. In such applications, video cameras capture footage over long durations of time, which result in massive quantities of data, necessitating specialized compression techniques. Conventional video compression algorithms are not sufﬁcient and effecient enough for such videos. In this paper, a novel two-stage compression system for surveillance videos is proposed that can automatically adapt the compression based on the semantic content of the video data. The initial stage consists of an intelligent interesting event detector that discards groups offrames in which no interesting events are detected, effectively reducing the size of the video without any loss in video quality. This removal process is robust to minor illumination variations and other small periodic movements. In the second stage, the remaining frames are compressed by the HuffYUV codec which is a lossless compression scheme. Results indicate that compression ratios that can be achieved by our system are very encouraging and we demonstrate the effectiveness of our system on seven different surveillance videos consisting of a wide range of scenarios
Keywords:	Intelligent system, Video processing, Compression, Surveillance system
Source:	Journal of Theoretical and Applied Information Technology 15^th November 2016 -- Vol. 93. No. 1 -- 2016
Full Text

Title:	MINIMIZATION OF TORQUE RIPPLE IN 24-SLOT 16-POLE INSET PERMANENT MAGNET GENERATOR BY EDGE-ROUNDED MAGNET POLES AND STATOR TEETH NOTCH TECHNIQUES
Author:	WIKE HANDINI, RUDY SETIABUDY, RIDWAN GUNAWAN
Abstract:	Torque pulsations such as torque ripple produce magnetic vibration and noise in permanent magnet machines. Thus, it is important to minimizing the torque ripple in permanent magnet generator design. This study reports a novel strategy in order to minimize the torque ripple in the 24-slot 16-pole radial flux inset permanent magnet (RFIPM) generator by using a geometric modification on magnet poles and stator teeth. We proposed four model of RFIPM generator with stator teeth notch and edge-rounded magnet (ERM) poles. Finite element method magnetic (FEMM) are used for computation of the torque ripple. We found that the modification of stator teeth notch and ERM poles significantly lowered the torque ripple of the RFIPM generator, and the lowest achieved by the combination of stator tooth with one notch and ERM poles with a reduction value of about 80% (torque ripple of 5.78%).
Keywords:	Torque ripple reduction, finite element method magnetic, edge-rounded magnet poles, stator teeth notch, radial flux inset permanent magnet generator
Source:	Journal of Theoretical and Applied Information Technology 15^th November 2016 -- Vol. 93. No. 1 -- 2016
Full Text

Title:	A NODE DEPLOYMENT MECHANISM FOR ENERGY-EFFICIENT ROUTING IN HETEROGENEOUS WIRELESS SENSOR NETWORKS
Author:	KAKELLI ANIL KUMAR, DR. ADDEPALLI V.N. KRISHNA, DR. K. SHAHU CHATRAPATI
Abstract:	Military applications are the primary concern of the wireless sensor networks (WSNs). Efficient target object/event monitoring is a primary goal of military systems in unattended and unmanned areas. Heterogeneous wireless sensor network (HTWSN) is an emerging network for efficient enemy object monitoring in sensitive areas of low cost. The performance of HTWSN is mainly depends on the quality of data transmission and better network lifetime. However, after deployment of HTWSN, the network can experience a serious problem known as path failure. Path failure occurs due to high route overhead, which result poor-quality data transmission and increase the node energy consumption. Path failure results route rediscovery and data packet retransmission. The proposed node deployment mechanism for HTWSN has been minimized the route overhead and improved the path quality, quality data packet transmission by avoid the path failure. The proposed node deployment strategy has given better results in terms of 20 % low node energy consumption, 56 % lower route overhead, 22 % higher network lifetime and 17 % higher data packet delivery ratio than the existing node deployment mechanism of IMCC protocol.
Keywords:	Wireless Sensor Network, Target Object Monitoring, Heterogeneous wireless sensor network, IMCC Protocol, Node deployment mechanism.
Source:	Journal of Theoretical and Applied Information Technology 15^th November 2016 -- Vol. 93. No. 1 -- 2016
Full Text

Title:	GEODETIC MONITORING METHODS OF HIGH-RISE CONSTRUCTIONS DEFORMATIONS WITH MODERN TECHNOLOGIES APPLICATION
Author:	M.E.KUTTYKADAMOV, K.B.RYSBEKOV, , I. MILEV, K.A.YSTYKUL, BEKTUR B.K
Abstract:	In article the analysis of the high-rise buildings and constructions deformation processes geodesic monitoring method is provided. The purpose of geodetic monitoring consists in surveying technology use including a processing and comparing algorithm of observations cycles results on the selected clusters and providing monitoring of the object deformed status on all it surface. The analysis and synthesis of domestic and foreign experience of high-rise buildings and constructions deformation processes geodesic monitoring was carried out. Advantage of the geodesic monitoring methods using a surface laser scanning technology allowing increasing safety in case of high-rise buildings construction and operation is shown.
Keywords:	High-Rise Buildings, Surface Laser Scanners, Deformation, Monitoring, Monitoring Methods, Technology.
Source:	Journal of Theoretical and Applied Information Technology 15^th November 2016 -- Vol. 93. No. 1 -- 2016
Full Text

Title:	DAMPING POWER SYSTEM OSCILLATION USING ELITIST DIFFERENTIAL SEARCH ALGORITHM IN MULTI MACHINE POWER SYSTEM
Author:	NAZ NIAMUL ISLAM, M A HANNAN, AZAH MOHAMED, HUSSAIN SHAREEF
Abstract:	In this paper, damping power system oscillations is presented using the Elitist differential search algorithm (Elitist-DSA) in a multi-machine system. The tuning of power system stabilizers (PSSs) are presumed as the complex optimization problem for the security of power system. The linearized model of power system is transformed into a multimodal objective function and proposed algorithm is applied to search the best solution. Simulations are conducted in linear and non-linear models of power system to verify the robustness of proposed algorithm. Detailed comparative studies are conducted to compare the performance of Elitist-DSA based PSSs with the tuned PSSs using bacteria foraging optimization algorithm (BFOA) and particle swarm optimization (PSO) in terms of statistical analyses, improvement of eigenvalues and system damping over oscillations. The findings show the presented Elitist-DSA technique is far superior as compared to BFOA and PSO in terms of quality solution of multi-machine PSSs optimization. Thus, the proposed technique is efficient for the safety of multi-machine power system against unwanted power system oscillations.
Keywords:	Power System Oscillations, Elitist Differential Search Algorithm (Elitist-DSA), Power System Stabilizer (PSS), Multi Machine Power System, Power System Stability.
Source:	Journal of Theoretical and Applied Information Technology 15^th November 2016 -- Vol. 93. No. 1 -- 2016
Full Text

Title:	BUILDING A REFERENCE META MODEL OF HUMAN BEHAVIOR
Author:	KAWTAR ZINEBI, NISSRINE SOUISSI, KAWTAR TIKITO
Abstract:	In this paper, we aim to build a generic Meta Model of human behavior. This genericity is justified by the concepts we employed. These concepts are derived from a variety of disciplines which are interested in understanding human behavior. The construction method of our meta model is to first collect all the parameters that control human behavior and classify them according to their type: human or environmental. Then, we propose a set of dimensions based on these concepts. And finally, we organize them in a UML Meta Model that consists of 3 packages. The advantage of this method and the level of abstraction adopted in our study is the possibility of extending our meta model with new concepts and project it in many fields of research and on all types of behavior (Psychology, sociology, simulation / artificial intelligence etc.)
Keywords:	Human behavior model, Generic concepts, Meta Model, Dimensions, Complex system, Psychology, Sociology, Environment, Social media, Person.
Source:	Journal of Theoretical and Applied Information Technology 15^th November 2016 -- Vol. 93. No. 1 -- 2016
Full Text

Title:	USING DELTA-TRANSFORMATIONS FOR AIRCRAFT POSITION FINDING IN LOCAL NAVIGATIN PROBLEM
Author:	PAVEL PAVLOVICH KRAVCHENKO, LIUBOV VLADIMIROVNA PIRSKAYA
Abstract:	This paper presents solutions for local navigation problems using an aircraft special-purpose calculating unit. The local navigation problem formulation includes aircraft position finding from the positioning data based at relatively short distance from the local coordinate system origin of beacon quadruple groups and the distance between an aircraft and the beacons. On the basis of the available data for each group, a system of four equations standard for rangefinder navigation is formed transforming to simultaneous linear algebraic equations (linear system) of third order. Solution of this linear system with continuous running absolute terms plots the aircraft coordinates. The work considers special algorithmization aspects of local navigation problem solution with ground processing of the given problem and its solution on the board in real-time mode. A study was undertaken to apply the second order delta-transformations in linear system solution of the given problem in the context of various beacon locations. The obtained experimental results involving computer modelling substantiate linear systems solution within single iteration in a steady-state process of practical interest with a time step, and the beginning of the steady-state process is provided at a respectful distance from the origin of coordinates.
Keywords:	Aircraft Position Finding, Linear System Solution, Second Order Delta-Transformation, Aircraft Special-Purpose Calculating Unit.
Source:	Journal of Theoretical and Applied Information Technology 15^th November 2016 -- Vol. 93. No. 1 -- 2016
Full Text

Title:	AN ONTOLOGICAL EXTRACTION FRAMEWORK OF THE ACTORS’ PEDAGOGICAL KNOWLEDGE
Author:	ABDELLADIM HADIOUI, SAMIR BENNANI, MOHAMMED KHALIDI IDRISSI, EL FADDOULI NOUREDDIN
Abstract:	An actor in an online learning system produces knowledge via events taking place in the platform. Stored in various places, such knowledge is of different types (Tutors, Learners) and formats. This article proposes a conceptual Framework for extraction of ontology based knowledge of educational actors through integrating knowledge management (KM) in a scenarization process of online learning subject by analyzing the interactions, and integrating assissement critiria of actors. To achieve this aim, we proposed this conceptual Framework which provides two results: First, a structured model for the extraction of actors knowledge, analyzing inetractions of actors events. The second, an ontological model automatically generated for semantic representation of this Framework knowledge.
Keywords:	Ontology, knowledge Management, E-learning, activities, learning object.
Source:	Journal of Theoretical and Applied Information Technology 15^th November 2016 -- Vol. 93. No. 1 -- 2016
Full Text

Title:	PHYSIOLOGICAL PATTERN OF HUMAN STATE EMOTION BASED ON ECG AND PULSE SENSOR
Author:	ADHI DHARMA WIBAWA, MAURIDHI H PURNOMO, AKHMAD MARZUKI, LANTANA D RUMPA
Abstract:	It has been known widely that emotion effects the human being physically and phsycologically, whether it is a positive or the negative emotion. With the develpoment of e-Health sensors technology nowadays, those human emotions can be described physiologically so that some negative impacts of negative emotions then can be avoided through monitoring. This study presents the physiological data of 6 human state emotions (happy, fear, sad, angry, surprise, disgust) in term of timing of onset, offset and the behaviour of physiological data due to emotion stimulation. The result of this study will be used as the basic information in term of physiological pattern in developing the early warning sistem for patient with chronical diseases. Two e-Health vital sign sensors were used to record the physiological data during video stimulation, ECG and pulse sensors. Six different videos for 6 different emotions stimulation were used to trigger the participant’s emotion. 30 healthy participants were involved in this experiment. Some features from both sensors such as mean of R-R interval during baseline and stimulation, onset and offset timing were presented. Sad emotion showed the highest mean of heart rate activity during stimulation compared to other emotion, while happy emotion can lower human heart beat during stimulation.
Keywords:	Basic human emotion, Physiological pattern of human emotion, e-Health sensor, Pulse and ECG sensor, vital sign sensors
Source:	Journal of Theoretical and Applied Information Technology 15^th November 2016 -- Vol. 93. No. 1 -- 2016
Full Text

Title:	THE DEVELOPMENT OF AN ADVANCED IT SYSTEM DEDICATED TO A PHOTOVOLTAIC PUMPING STATION
Author:	L. ELMAHNI, L. BOUHOUCH, A. MOUDDEN
Abstract:	Smart Meters (SM) are one of the first bricks in the case of Smart Grids. Indeed, the control of flows in real time contributes to the efficient management of energy and enables consumers to identify their energy-intensive appliances and, subsequently, to change their consumption practices. However, the large-scaled deployment of intelligent measurement systems will require huge investments, which will directly affect the final consumer. This paper presents the design, implementation and realization of an intelligent electricity meter. This counter is based on low cost, open hardware and software structures. It is intended to monitor, manage and control a photovoltaic water pumping station. The intelligence faculty is, indeed, due to the fact that this meter is communicating thanks to the use of new information and communication technologies (ICT).
Keywords:	Smart Meter, PanStamp, Raspberry Pi, Energy Measurement Processor, Photovoltaic
Source:	Journal of Theoretical and Applied Information Technology 15^th November 2016 -- Vol. 93. No. 1 -- 2016
Full Text

Title:	DEVELOPING OF THE SOFTWARE IMPLEMENTATION OF A SIMULATION MODEL OF RESOURCE CONSUMPTION BY A CLOUD CONTACT CENTER DEPENDING ON THE NUMBER OF USERS
Author:	ANTON PAVLOVICH TEYKHRIB
Abstract:	In the article, software implementation of a simulation model of resource consumption by a cloud contact center depending on the number of users has been made. Methods/Analysis: For modeling was chosen multi-agent system approach and simulation was conducted in the simulation system Repast Simphony. Further, a number of simulation experiments verifying the model have been conducted, as well as a forecast of the cloud contact center load in case of adding 200 new users. Findings: Main results shows that developed model is corresponding to real system and additional users will not exceed computational power of current hardware, so no additional investments in infrastructure should be made. Novelty/Improvement: Computational resource load multi-agent system model for cloud contact center was presented for the first time.
Keywords:	Discrete Multi-Agent Simulation, Cloud Contact Center, Server Load, Repast Simphony.
Source:	Journal of Theoretical and Applied Information Technology 15^th November 2016 -- Vol. 93. No. 1 -- 2016
Full Text

Title:	CAMERA CONTROL FOR SHOT SELECTION IN MACHINIMA GENERATED ANIMATION
Author:	DELTA ARDY PRIMA, TSUYOSHI USAGAWA, I KETUT EDDY PURNAMA, MOCHAMAD HARIADI
Abstract:	The development of computer graphics–rendering technology is rapidly increasing—the next-gen game can present 3D images that are closer to reality and can be run in real time. This allows the emergence of a new technique called “machinima,” derived from the words machine and cinema, to make real-time animation movies in a virtual environment. Machinima filmmaking requires a cinematography rule to produce a good animation. A behavior tree is used to select the camera shot according to the cinematography rule using shot idiom such as close-up, back-shot, shoulder-shot, etc. The system allows the camera to decide the proper shot based on events and actions happening in the virtual scene.
Keywords:	Machinima, Cinematography, Behavior tree, Virtual camera, Game, Virtual world
Source:	Journal of Theoretical and Applied Information Technology 15^th November 2016 -- Vol. 93. No. 1 -- 2016
Full Text

Title:	THE DESIGN OF A PSYCHOTHERAPY REMOTE INTELLIGENT SYSTEM
Author:	S.BOUREKKADI, S.KHOULJI, K.SLIMANI, R.MESSOUSSI, M.L.KERKEB
Abstract:	Generally speaking, scientific research aims to develop humanity and makes it be better. Meanwhile, the research we did is involved within this trend because it holds a great importance as it combines many flags that occupy a high profile, such as computer science, psychology and philosophy. Through this research, we will let the coming generations be blessed with an integrated and balanced psychological health. Besides, people in many countries suffer from psychological problems that turn them into frustrated and make them unable to engage in various activities of their countries. Those psychological disorders make them remain silent and unable to share their concerns with others; they make them unable to talk about their psychological difficulties that prevent their integration into their communities and it is also known that psychological problems have a cure and a solution. For instance, psychological social scientists are able to edit and correct those behaviors and psychological disorders. Meanwhile, following an analysis of the field work findings, it becomes clear that the problem of citizens is reflected in the lack of courage to visit specialists in the field of psychology. Waiting for citizens to be convinced that it’s not shame to visit a psychologist, and that the doctors or psychologist advisors are just like other medicine specialists, the solution was the psychological remote therapy. Thus, to land this solution on the ground and to solve this problem, we adopted modern technological ways such as the expert system and machine learning.
Keywords:	Machine Learning; Expert System; Psychology; Awareness; Intelligent System.
Source:	Journal of Theoretical and Applied Information Technology 15^th November 2016 -- Vol. 93. No. 1 -- 2016
Full Text

Title:	AN EFFICIENT I-ENCRYPTED VIDEO WATERMARKING SCHEME USING ENCHANCED PCA-SVD-DWT BLOCK EMBEDDING AND EXTRACTION MODEL
Author:	T.SRINIVASA RAO, DR.RAJASEKHAR R KURRA
Abstract:	Due to the extensive use of video streaming applications, video content and security protection have become more important in online modern applications. Video watermarking is the process of embedding essential image blocks as copyright content in video streams. A large number of digital watermark solutions have been introduced in the literature to secure illegal modifications and video distortions techniques. Frame dropping and swamping are the major factors which affect the quality and time of watermark embedding and extraction process. Also a little change in block pixels which affects the structure and contrast comparison under similar luminance background. If we drop too many frames, the quality of the watermarked video will decrease rapidly. Recent research indicates SVD (Singular Value Decomposition), Differential expansion and DWT (Discrete wavelet transform) techniques are using as integrated model with mathematical complexity. The main objective of this proposed model is to provide compression hash based lossless data during watermark embedding and extraction process using i-Encrypted PCA-SVD-DWT model. This approach provides video authentication as well as security to the data modification. This optimized model works against data integrity checking during video watermark schemes. Experimental outputs proved that proposed secured watermarking model has high efficiency in terms of time and quality is concerned.
Keywords:	Watermark, Singular Value Decomposition(SVD), Discrete wavelet transform(DWT),Principal Component Analysis(PCA), Encryption, Decryption
Source:	Journal of Theoretical and Applied Information Technology 15^th November 2016 -- Vol. 93. No. 1 -- 2016
Full Text

Title:	HYPERMEDIA WEB SOFTWARE EFFORT ESTIMATE WITH ADAPTIVE NEURO FUZZY INFERENCE SYSTEM
Author:	MOHAMMAD SABER IRAJI
Abstract:	Accurate software cost estimates are an important factor in the stability of the software companies in the world competitive and efficient use of resources. Nature and structure of web applications is quite different from traditional software. In 2003, The estimated cost of hypermedia web projects was based on seven features were obtained best results, using case base reasoning (CBR) using Stepwise Regression approaches with MMRE on 37 web hypermedia projects. We considered count of html, count of media files and count of inner links features, presented in this paper proposed approach to reduce predicted effort Error than the actual amount for web hypermedia projects and calculate average relative deviations (AAD), through adaptive neuro fuzzy system (ANFIS) Method that is achieved better and more accurate results.
Keywords:	Hypermedia Web Software, Fuzzy, Effort, Cost, Neural Network
Source:	Journal of Theoretical and Applied Information Technology 15^th November 2016 -- Vol. 93. No. 1 -- 2016
Full Text

Title:	SIMPLIFIED ADAPTIVE EXON PREDICTORS FOR EXTRACTING PROTEIN CODING REGIONS IN GENOMIC SEQUENCES
Author:	SRINIVASAREDDY PUTLURI and MD ZIA UR RAHMAN
Abstract:	In the field of Bio-informatics, exact predicting the regions that code for proteins in a deoxyribonucleic acid (DNA) sequence is a challenging and vital task. Analyzing the exon regions is a major phenomenon which helps in drug design and disease identification. The sections of DNA that contain protein coding information are known as exons. Hence predicting the exons in a DNA sequence is a crucial task in genomics. Nucleotides serve as the basic structural unit of a DNA. Three base periodicity (TBP) has been practical in the protein coding regions of DNA sequences for nucleotides. By applying Signal processing techniques, TBP can be easily predicted. Adaptive signal processing techniques found to be likely due to their distinct capability, with the ability to change weight coefficients depending on the gene sequence. In this paper, we propose an efficient adaptive exon predictor (AEP) based on these considerations using error normalization. To increase the tracking ability of the adaptive algorithm for exon regions, we develop AEPs using ELMS algorithm and its variants. These proposed AEPs prominently reduces computational complexity and offers superior performance in terms of performance measures like sensitivity, specificity, and precision, so that the AEPs are attractive in nano devices. It was shown that maximum error normalized sign regressor LMS (MESRLMS) based AEP is better in exon prediction applications based on performance measures with Sensitivity 0.7198, Specificity 0.7203 and Precision 0.6906 at a threshold of 0.8. Also, this algorithm performs better with respect to convergence because of error normalization. Computational complexity wise also MESRLMS needs only one multiplication operation because of sign regressor operation and using a maximum value in normalization. Finally the ability of various AEPs in prediction of exons is tested using different DNA sequences obtained from National Center for Biotechnology Information (NCBI) database.
Keywords:	Adaptive Exon Predictor, Computational Complexity, Deoxyribonucleic Acid, Disease Identification, Exons, Three Base Periodicity
Source:	Journal of Theoretical and Applied Information Technology 15^th November 2016 -- Vol. 93. No. 1 -- 2016
Full Text

Title:	ANALYSIS OF SYNTHETIC APERTURE RADAR IMAGES USING BRUTE FORCE THRESHOLDING AND GRADIENT GUIDE FILTERS
Author:	M.L.M. LAKSHMI, S.V.A.V. PRASAD, MD. ZIA UR RAHMAN
Abstract:	Nowadays Imaging Radars (IR) finds many applications, in both civilian and defense fields to observe various scenarios over the horizon. Due to the rapid development of space borne and air borne platforms Synthetic Aperture Radars (SAR) becomes as an electronic eye to monitor different terrain features, various activities on the globe. As a result, analysis of SAR images is desirable to obtain high resolution electromagnetic (EM) images. In order to fulfill these requirements we propose a novel enhancement technique to de-speckle SAR images and to provide high resolution SAR images for the specific terrain monitoring. The proposed technique is a hybrid version of an improved brute force thresholding (BFT) based undecimated wavelet transform. The improved BFT combined with total variance process removes the speckle noise by preserving texture and edges. After this de-speckling process the image undergoes an enhancement process by gradient domain guided image filter (GDGIF). This GDGIF makes sharp enhancement and facilitates good quality SAR image for terrain analysis. GDGIF performs better than conventional guided image filter (GIF) and weighted guided filter (WGF). Simulation results confirm that the proposed realizations are well suited for real time applications. By comparing performance measures shown in Table II, the proposed method achieves better results in terms of minimum MD of 0.210, minimum MSE of 2.72E-04 and maximum PSNR of 35.658.
Keywords:	Electromagnetic Image, Image Enhancement, Imaging Radar, Speckle Noise, Synthetic Aperture.
Source:	Journal of Theoretical and Applied Information Technology 15^th November 2016 -- Vol. 93. No. 1 -- 2016
Full Text

Title:	OPTIMIZATION OF COVERAGE AND THE NUMBER OF BASE TRANSCEIVER STATION TOWERS USING FUZZY C-MEANS AND GENETIC ALGORITHM
Author:	FAQIH ROFII, M. DIMAS TOSCANNI, DIKY SISWANTO
Abstract:	The demand for communications services over mobile networks continues to increase, especially in urban areas, encouraging mobile operators to increase the capacity of its services, by contructing new base transceiver stations in all urban areas. BTSs, which continue to grow regardless of the surrounding environment resulting in clutter environment. it is necessary for a study of how to rearrange the existing tower. The aim of this study was to obtain a minimum number of telecommunications towers already existing and is able to cover the city area using the optimization method, the Fuzzy C-Means and Genetic Algorithm. We propose a new method in determining the number of base stations at a minimum, to get the coverage area of the widest service, by selecting the existing base stations, through three stages steps: determination of the number of cells ideal, election position BTS using GA and calculates the coverage area. In this study using two types of bandwidth 10 and 7.5 MHz. Results from this study showed that there are 45 of the 154 existing BTSs selected, with an area of coverage is 72.79% for 10 MHz and 74.07% for 7.5 MHz bandwidth, while areas not covered are areas with few users.
Keywords:	Base Stations Tower, Coverage, Fuzzy C-Means, Genetic Algorithm
Source:	Journal of Theoretical and Applied Information Technology 15^th November 2016 -- Vol. 93. No. 1 -- 2016
Full Text

Title:	ELECTROMAGNETIC-LIKE MECHANISM FOR JOB-SHOP SCHEDULING BY NOVEL HEURISTIC INITIALIZATION
Author:	MAJID ABDOLRAZZAGH-NEZHAD, ERNA BUDHIARTI NABABAN, NAJMEH SADAT JADDI, HAFIZ MOHD SARIM
Abstract:	This paper describes a novel method to enhance the performance of population-based algorithms in solving the job-shop scheduling problem. A novel heuristic initialization technique that is based on the concept of head and tail paths is applied to produce a new initial population. The proposed method is based on an intelligent skip from the primal point of the solution space to a better one, which is achieved by shortening the maximum head and tail paths (SMHT) of all jobs on the given machine. Also in this method, the electromagnetic-like mechanism is applied as an improvement algorithm as it is the state-of-the-art choice to improve the produced initial populations. The experimental results show that the quality of the initial population produced by SMHT is better than that produced by some state-of-the-art techniques. Moreover, the experimental results for the Electromagnetic-like Mechanism part of the method show that SMHT makes a significant contribution to accelerating the convergence speed of the improvement algorithm to optimality and improves the obtained output results.
Keywords:	euristic, Initialization, Job-Shop Scheduling Problem, Electromagnetic-Like Mechanism, Head And Tail Path
Source:	Journal of Theoretical and Applied Information Technology 15^th November 2016 -- Vol. 93. No. 1 -- 2016
Full Text

Title:	THE SPICE DYNAMIC BEHAVIOURAL ELECTROTHERMAL MODEL OF SILICON CARBIDE POWER MOSFET
Author:	Abderrazak LAKRIM, Driss TAHRI
Abstract:	This paper presents an electro-thermal behavioral model (ETM) Silicon Carbide (SiC) Power MOSFET developed by SPICE. This model is based on the MOS level 1of SPICE model wherein the phenomena characteristic of the static and dynamic behavior which are dependent on self-heating and junction temperature are included and represented by ABM facilities (Analog Behavioral Models) of Spice. The dynamic behavior of switching device associated with charge / discharge phenomena of the capacitances between its terminals is represented by 4 capacitances and two voltage controlled voltage sources (VCVS). The Cgs, Cgd and Cds capacitances vary according to the voltage to their terminals. And so, a good modeling of these capacitances yields up satisfactory results for the simulation of the switching. The model parameters are extracted from manufacturers' data (data sheets curves) using polynomial interpolation with simulated annealing (SA) and weighted least squares (WLS) methods. This model takes into account the various important phenomena within the transistor. The effectiveness of the presented model has been proved by Spice simulation results for SiC MOS transistor C2M0025120D CREE (1200V, 90A).
Keywords:	SiC power MOSFET, Dynamic Electro-thermal Model, ABM Spice library, SPICE Behavioural, SiC MOS Model
Source:	Journal of Theoretical and Applied Information Technology 15^th November 2016 -- Vol. 93. No. 1 -- 2016
Full Text

Title:	PATENTING TRENDS IN SECURE DECENTRALIZED COMMUNICATION
Author:	MIKHAIL OLEGOVICH VYUKHIN, DMITRY BORISOVICH SHULGIN, ANTON PAVLOVICH TEYKHRIB
Abstract:	Patenting is one of the important parts of any scientific research in cases when researches pretend to be commercialized. One of the interesting areas in computer science is secure decentralized communication, and this article reviews patenting trends in this area. Therefore, there are two main objectives in the article: first, to determine patent trends in communication security, and secondly, to determine patent trends in decentralized communications. After all, we should make conclusions about patenting prospects in the reviewed area.
Keywords:	Patenting Trends, Secure Communications, Decentralized Communications, Patenting Analyzing
Source:	Journal of Theoretical and Applied Information Technology 15^th November 2016 -- Vol. 93. No. 1 -- 2016
Full Text

Title:	P-CC-NN: PARALLEL CASCADE CORRELATION NEURAL NETWORK METHODS FOR PATTERN RECOGNITION APPLICATIONS USING MULTICORE TECHNIQUES
Author:	KHALID MOHAMMAD JABER, SOKYNA M. ALQATAWNEH
Abstract:	This paper presents a multi-core programming model that implements the cascade correlation neural networks technique, to enhance the classification phase of any pattern recognition system. It is based on combining the strengths of both approaches in order to construct an efficient Parallel Cascade Correlation Neural Network (P-CC-NN) system. In this work a complex case of pattern recognition system which is a 3D facial data has been used to examine the proposed system and ensure its effectiveness, experimental results are presented using 360 3D facial images, each image contains 96 distinguishable features. Results show significant improvement in execution time about 31 minutes (4.6 times speedup) in comparison with 146.5 minutes for serial time, this topology generated an accuracy of 94 %. This work is the first approach to handle the classification challenges for different pattern recognition applications using multi-core techniques.
Keywords:	Parallel, Cascade Correlation Neural Network, Pattern Recognition, Facial Image.
Source:	Journal of Theoretical and Applied Information Technology 15^th November 2016 -- Vol. 93. No. 1 -- 2016
Full Text

Title:	A NEW ILLUMINATION INVARIANT FEATURE BASED ON FREAK DESCRIPTOR IN RGB COLOR SPACE
Author:	SIOK YEE TAN, HASLINA ARSHAD, AZIZI ABDULLAH
Abstract:	Mobile markerless augmented reality (AR) requires a descriptor that can act in real time and at the same time robust to illumination invariance. Several color descriptors have been proposed to increase illumination invariance such as RGB-SIFT. According to the previous study, FREAK descriptor has been identified as the most suitable descriptor for mobile markerless AR due to FREAK reviews less computation time compared to other descriptors. However, color information presents important information has been largely ignored by FREAK. Hence, this research proposed a new illumination invariant feature based on FREAK descriptor in RGB color space for mobile markerless AR. Red, green and blue color channel will applied separately to FREAK descriptor. Hence, there are four types of descriptor been introduce; Red-FREAK, Green-FREAK, Blue-FREAK and RGB-FREAK. The proposed color FREAK descriptors are evaluated using images of different illumination color from Amsterdam Library of Object Images data set. The results show that the proposed color FREAK descriptors have enhanced the accuracy under illumination invariance for mobile markerless AR.
Keywords:	Markerless Augmented Reality, Feature Descriptor, RGB, Illumination Invariance, FREAK
Source:	Journal of Theoretical and Applied Information Technology 15^th November 2016 -- Vol. 93. No. 1 -- 2016
Full Text

Title:	CONVERSION OF AN XML SCHEMA TO OBJECT RELATIONAL DATABASES USING A CANONICAL DATA MODEL
Author:	ADIL JOUNAIDI, DOHA MALKI, MOHAMED BAHAJ, ILIAS CHERTI
Abstract:	To describe or define the content of an XML file there is two main ways: either use a DTD or an XML Schema also called an XSD file. This last is the most recommended, however it lacks the object-oriented aspect. And also all the XML data flowing in the web are badly managed. So our paper came to resolve this problem by converting automatically XML Schemas to an Object-Relational Databases (ORDBs), which will allow us to manage XML data easily through SQL query. To do that we’re going to use the CDM (canonical data modeling) by giving an algorithm that’s going to conserve all type of relationships such as association, composition, aggregation and inheritance…, our prototype algorithm will be able to extract the schema metadata from the XML file and convert them into information represented as classes and relationships that are mentioned before. Simplicity and efficiency, those are the strength of our approach to come up with a system that generates a set of User-Defined-Types (UDTs) and a set of typed tables.
Keywords:	XML Schema Definition (XSD), Object Relational Database (ORDB), Canonical Data Modeling (CDM), User-Defined-Types (UDTs), Document Type Definition (DTD).
Source:	Journal of Theoretical and Applied Information Technology 15^th November 2016 -- Vol. 93. No. 1 -- 2016
Full Text

Title:	LINEAR AND NONLINEAR DYNAMIC MODELING OF MOTORIZED PROSTHETIC HAND SYSTEM
Author:	M.H.JALI N.A.RASHID , M. N.KAMARUDIN , R.GHAZALI , H.I.JAAFAR
Abstract:	This paper described the dynamic modeling of motorized prosthetic finger system. Recently prosthetic hands become more importance because its capability to become potential substitute hand for amputee. By using various type of actuators, prosthetic hands become more practical as it could operate with neuro motors energy which initiated by the Automatic Nervous System (ANS) of the brain. However the mathematical modeling of the system needs to be appropriately determined to ensure the accuracy of the control design later on. This paper explained the linear and nonlinear dynamic modeling of the system using Lagrangian equation. The model of the system is derived by considering the energies of the finger when it is actuated by the DC motor. The linear and nonlinear model based on the Lagrangian function of the motion of the finger is evaluated based on the characteristic of the output response. The results show the significant finding of the output characteristic of the linear and nonlinear dynamic modeling of the system.
Keywords:	Prosthetic finger; Lagrangian function, Dynamic modeling, Linear & Nonlinear
Source:	Journal of Theoretical and Applied Information Technology 15^th November 2016 -- Vol. 93. No. 1 -- 2016
Full Text