		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
July 2017 | Vol. 95 No.13

Title:	COMPARISON OF JAMMING EXCISION METHODS FOR DIRECT SEQUENCE/SPREAD SPECTRUM (DS/SS) MODULATED SIGNAL
Author:	GIAN CARLO CARDARILLI, LUCA DI NUNZIO, ROCCO FAZZOLARI, AMIRHOSSEIN FEREIDOUNTABAR, FILIPPO GIULIANI, MARCO RE, LORENZO SIMONE
Abstract:	Direct Sequence/Spread-Spectrum (DSSS) signals are characterized by a wide bandwidth and a low-power spectral density. These characteristics make them very robust with respect to the jamming. The Jamming represents one of the main concerns for secure communication and communication in a crowded spectrum. When the jamming to signal power ratio is greater than the Process Gain, even the use of DSSS signals requires the introduction of mitigation techniques. Common anti-jamming systems are based on adaptive filters. However, this solution presents several disadvantages, as the inefficiency to mitigate multi-tone jamming and nonstationary jamming. For these reasons, great interest is toward the development of anti-jamming systems based on different techniques as the Wavelet Transform and the Filters bank. This paper has two objectives. The first one regards the evaluation of the parameter choice on the jamming excision performance. The second objective is to compare the performance obtainable by the two above techniques. Experiments for parameter evaluation and performance comparison are carried out using MATLAB simulations. These simulations were performed using the most common jamming types.
Keywords:	Jamming Excision; Wavelet Packet Decomposition; DSSS; DWT; Polyphase Filters Bank
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2017 -- Vol. 95. No. 13 -- 2017
Full Text

Title:	IMPROVING DIAGNOSIS OF DIABETES MELLITUS USING COMBINATION OF PREPROCESSING TECHNIQUES
Author:	RAZIEH ASGARNEZHAD, MARYAM SHEKOFTEH, FARSAD ZAMANI BOROUJENI
Abstract:	Diabetes mellitus is one of the most common diseases among people of all age groups, affecting children, adolescents and young adults. There is an increasing interest in using machine learning techniques to diagnose these chronic diseases. However, the poor quality of most medical data sets inhibits construction of efficient models for prediction of diabetes mellitus. Without efficient preprocessing methods, dealing with these kinds of data sets leads to unreliable results. This paper presents an efficient preprocessing technique including a combination of missing value replacement and attribute subset selection methods on a well-known diabetes mellitus data set. The results show that the proposed technique can improve the performance of applied classifier and outperforms the traditional methods in terms of accuracy and precision in diabetes mellitus prediction.
Keywords:	Data Mining, Preprocessing Techniques, Diabetes mellitus.
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2017 -- Vol. 95. No. 13 -- 2017
Full Text

Title:	AUTHENTICATION GROUPS WITH PRIVACY-PROTECTION OF MACHINE-TO- MACHINE IN LTE/LTE-A NETWORKS
Author:	HAQI KHALID, KWEH YEAH LUN, MOHAMED OTHMAN, IDAWATY AHMAD
Abstract:	Machine-type Communication (MTC) is a form of data communication which involves one or more entities that do not necessarily need human interaction, which has become the hotspot in industry area. Furthermore, Machine-Type Communication (MTC) has shown the advantages, including better coverage and lower network deployment cost, which makes it become the hotspot in industry area. However, the current cellular network is designed for human-to-human communication (H2H), and less optimal for machine-to-machine, machine-to- human or human-to-machine applications. In addition, current cellular network is less optimal for MTC applications, and now facing some urgent issues, e.g. congestion and overload caused by the access of masses of MTC devices. This paper shows the techniques that used in MTC for LTE/LTE-A networks to enhance the authentication protocols with reduce signaling overhead and computational cost. Furthermore, this work discussed the problems that causing signaling overload in the core network especially, when a group of MTCD try to get authenticate to the system at the same time.
Keywords:	Machine-Type-Communication, Authentication Groups, Privacy-Preserving, Signaling Congestion, LTE/LTE-Advanced Networks.
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2017 -- Vol. 95. No. 13 -- 2017
Full Text

Title:	LOCAL LINE BINARY PATTERN AND FUZZY K-NN FOR PALM VEIN RECOGNITION
Author:	KHADIJAH FAHMI HAYATI HOLLE, JAYANTI YUSMAH SARI, YUWANDA PURNAMASARI PASRUN
Abstract:	Recently, palm vein recognition has been studied to overcome the problem in terms of convenience and performance of conventional systems in biometrics technologies such as fingerprint, palm print, face, and iris recognitions. However, palm vein images that are used in palm vein recognition systems are not always clear but sometimes can show irregular shadings and highly saturated regions that can slow the processing time. To overcome this problem, we propose palm vein recognition system using Local Line Binary Pattern (LLBP) method that was reliable against irregular shadings and highly saturated regions. LLBP is a texture descriptor based on the gray level comparison of a neighborhood of pixels. Proposed method have been conducted in three major steps: preprocessing that includes Region of Interest (ROI) detection, image resizing, noise removal and image enhancement, feature extraction using LLBP method, and matching using Fuzzy k-NN classifier. We use CASIA Multi-Spectral Image Database as dataset to examine proposed method. Experimental results show that the proposed method using LLBP has a good performance with 93.2% recognition accuracy.
Keywords:	Fuzzy K-NN, LLBP, Local Line Binary Pattern, palm vein
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2017 -- Vol. 95. No. 13 -- 2017
Full Text

Title:	WIRELESS LOCAL AREA NETWORK: A COMPREHENSIVE REVIEW OF ATTACKS AND METRICS
Author:	SAMIRA SARVARI, NOR FAZLIDA MOHD SANI, ZURINA MOHD HANAPI, MOHD TAUFIK ABDULLAH
Abstract:	Wireless Local Area Networks (WLAN) was once a single network solution. Yet now, it contributes to all part of business and computer industry. Thus, WLAN security measures need special attention. In order to identify WLAN networks’ vulnerability, some intrusion detection systems, architecture, and potential threats in the literature of this area is investigated. This approach is to categorize present wireless intrusion detection system (IDS) and detection technique. Several advantageous and drawbacks are presented and an in-depth critical literature review is presented. Different WLAN attack types and review some metrics in relation to operability and performance of IDS is summarized and extensively argued which can be conducted through integrating both practitioners and scholars. The future research areas are also discussed.
Keywords:	Wireless Local Area Networks (WLAN), Intrusion Detection System (IDS), Network topology, Ad-hoc Network, Network attack
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2017 -- Vol. 95. No. 13 -- 2017
Full Text

Title:	GENE BASED MULTIVARIATE BIOMETRIC USER ACCESS CONTROL AND AUTHENTICATION FOR SOCIAL NETWORKS COMMUNICATION
Author:	JAYANTHI SIVASUBRAMANIAM, Dr. C. CHANDRASEKAR
Abstract:	Using multimodal biometrics for effective management of user authentication in online social networks (OSNs) is currently of practical interest. Considerable efforts is said to have taken in this field. However, multi-modal biometrics user authentication provides additional information to enhance the secured and reliable user communication compared to that of traditional cryptographic key authentication in social network. In this work, biometric user authentication scheme with multi-modalities (i.e., types of biometric data) for secured and reliable social network communication, called Multivariate Biometric User Access Control and Authentication (MBUAC-A) scheme is presented. User biometric feature template is extracted from corresponding human individuals and stored in spatial vectors. Gene encoding is applied on user biometric feature template to form an access control strategy. User biometric keys are generated for corresponding gene encoded user biometric feature templates. Authentication of user access is done based on the user biometric keys. Finally, the authenticity of user access is checked and ensured by gene decoding of corresponding user biometric keys. The experimental evaluation of proposal work is conducted with parameters such capacity of biometric feature template, user access control time, number of users, gene encode/decode latency, and access control accuracy.
Keywords:	Multimodal Biometrics, Online Social Networks, Multivariate, Access Control, Authentication, Gene Encoding/Decoding
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2017 -- Vol. 95. No. 13 -- 2017
Full Text

Title:	A COMPARISON OF PID AND LQR CONTROLLERS FOR POSITION TRACKING AND VIBRATION SUPPRESSION OF FLEXIBLE LINK MANIPULATOR
Author:	E. A. ALANDOLI, M.Z.A. RASHID, MARIZAN SULAIMAN
Abstract:	This paper presents PID controller versus LQR controller approach to suppress the vibrations of flexible link manipulator. The PID controller is design using Ziegler Nichols method and tuned for obtaining the best controller gains, the LQR controller utilizes four different controller gains to control the flexible link manipulator and suppress the vibrations. Simulation results are simulated using MATLAB/Simulink software. The simulation results depict that vibration of the flexible link manipulator can be suppressed and stable. LQR controller is better that the PID controller in terms of performance and reducing the vibrations of the flexible link manipulator as well.
Keywords:	Flexible Link Manipulator, PID Controller, LQR Controller, Vibrations Suppression
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2017 -- Vol. 95. No. 13 -- 2017
Full Text

Title:	DEVELOPING A WEB-BASED ADVISOR EXPERT SYSTEM FOR GREEN TRANSPORTATION SYSTEM
Author:	HASSAN M ABDELSALAM, MUHAMMAD NAZRI BORHAN, ABDALRHMAN MILAD, HAMZA IMHIMMED,RIZA ATIQ OK RAHMAT
Abstract:	Considering the sustained and pervasive popularity of the private vehicle not only in Malaysia National University (UKM) but in most of Malaysian Universities, what makes people prefer to use a Bicycle rather than car or public transport? What will facilitate the use the bicycle paths to the promotion of more sustainable behavior and the achievement of the green transportation targets? In this paper, a web-based advisory expert system for the purpose of applying Geometric Design of bicycle paths on residential streets is described because of their currently a weakness in the educational outcomes and structured framework for the implementation of such strategies . Developing an expert system can assist and advise engineers for dealing with geometric design problems. This expert system is developed to fill the gap between the sustainable urban design experts and people who seek to employ Geometric Design of bicycle paths including decision makers, engineers, and students. The system has more than six main functions including classifying, bicycle paths width, Separation from road way, Horizontal alignment, sight distance, and grades design .Verifying, validating processes, and comparing the system with similar works have shown that the system is consistent and acceptable for practical uses. In order to build the expert system, examining sources related to bicycle sharing path studies as well as interviewing with domain experts have been carried out. The system includes rules and images for different types of measures finally, some recommendations for improving the system are presented.
Keywords:	Expert System; Green Transportation System
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2017 -- Vol. 95. No. 13 -- 2017
Full Text

Title:	MODIFIED VIRTUAL FORCE METHOD FOR MOBILE ROBOT NAVIGATION
Author:	MENDILI MANEL, BOUANI FAOUZI
Abstract:	This paper deals with the problem of target tracking of two wheeled mobile robots with obstacle avoidance. The model predictive control approach and the virtual force method are used to compute the control sequence applied to the mobile robot. The force is proportional with the distance between the robot and the obstacle. Simulations are performed and their results are provided to show the effectiveness of the proposed method. This paper improves the formulae of force computing in the virtual force method to avoid the obstacles.
Keywords:	Two Wheeled Mobile Robot, Predictive Control, Obstacle Avoidance, Virtual Force
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2017 -- Vol. 95. No. 13 -- 2017
Full Text

Title:	A PROPOSED DYNAMIC ALGORITHM FOR ASSOCIATION RULES MINING IN BIG DATA
Author:	ANAS HANI AL-DAHER, MOHAMMAD SHKOUKANI
Abstract:	Because of the explosive growth of data that we are suffocating in, while we are starving for knowledge, mining data and information from substantial databases has been perceived as a key research topic. So, Due to the huge size of data that exists in the databases and warehouses and because these data are big, dynamic and change frequently it is difficult and expensive to do mining for frequent patterns and association rule from scratch. In light of such an interest, this paper proposes a Dynamic Algorithm for Association Rules Mining in Big Data that is capable of finding frequent item-sets dynamically and generating association rules from the item-sets by using accumulated knowledge stored in a database table, this table will be modified frequently when the system runs every time and the new value of the table will be the result of processing new inserted data added to the results of previously processed data. The proposed solution is implemented using C#.net and SQL server. The results compared with the Apriori algorithm. It was conclude that Apriori algorithm showed better results than the proposed algorithm in the initial runs, on the other hand the proposed dynamic algorithm provided results near to Apriori algorithm on frequent runs that use small number of transactions but the proposed dynamic algorithm took less processing time than Apriori algorithm by 63.95% on the frequent runs that use big number of transactions.
Keywords:	Big data, Apriori algorithm, Association rules, Data mining
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2017 -- Vol. 95. No. 13 -- 2017
Full Text

Title:	FPGA IMPLEMENTATION OF HIGH SPEED MEDICAL IMAGE SEGMENTATION USING GENETIC ALGORITHM
Author:	Mrs. MANNE PRAVEENA, Dr. NARAYANAM BALAJI, Dr. CHALLA DHANUNJAYA NAIDU
Abstract:	Nowadays, image analysis plays a key role in processing of the medical images such as retinal image, cardiac image and brain MRI images in bio-medical field. Medical Image Segmentation (MIS) is a process of obtaining the different intensity levels of the image and extracting the features for analysis. Some of the existing algorithms are capable of extracting a section of image but not able to find an optimum threshold for image segmentation. So, a novel image segmentation algorithm with different thresholds is based on Genetic Algorithm (GA) on Field Programmable Gate Array (FPGA) has been introduced in this paper. Here the optimum threshold values are used to segment the same image as well as similar kind of images, which is obtained from same kind of biomedical imaging instruments. The proposed FPGA architecture for image segmentation is time as well as power efficient algorithm.
Keywords:	Segmentation process, Genetic Algorithm, Field Programmable Gate Array.
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2017 -- Vol. 95. No. 13 -- 2017
Full Text

Title:	HYBRID CLASSIFICATION APPROACH HDLMM FOR LEARNING DISABILITY PREDICTION IN SCHOOL GOING CHILDREN USING DATA MINING TECHNIQUE
Author:	MARGARET MARY. T, HANUMANTHAPPA. M
Abstract:	Learning Disability is a disorder of neurological condition which causes deficiency in child’s brain activities such as reading, speaking and many other tasks. According to the World Health Organization (WHO), 15% of the children get affected by the learning disability. Efficient prediction and accurate classification is the crucial task for researchers for early detection of learning disability. In this work, our main aim to develop a model for learning disability prediction and classification with the help of soft computing technique. To improve the performance of the prediction and classification we propose a hybrid approach for feature reduction and classification. Proposed approach is divided into three main stages: (i) data pre-processing (ii) feature selection and reduction and (iii) Classification. In this approach, pre-processing, feature selection and reduction is carried out by measuring of confidence with adaptive genetic algorithm. Prediction and classification is carried out by using Deep Learner Neural network and Markov Model. Genetic algorithm is used for data preprocessing to achieve the feature reduction and confidence measurement. The system is implemented using MatLab 2013b. Result analysis shows that the proposed approach is capable to predict the learning disability effectively.
Keywords:	Learning Disability, Missing Value, Genetic Algorithm, Markov Model and Deep Learner, Hybrid Classification
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2017 -- Vol. 95. No. 13 -- 2017
Full Text

Title:	MODEL OF A BLANK FORM FOR COMPUTER LABORATORY WORK ON RESEARCH OF THE SPEED SELECTOR
Author:	NURILA SAIDULLAYEVA, ROZA SPABEKOVA, GAUKHAR OMASHOVA, KENZHAN KABYLBEKOV, NURLIBEK TAGAYEV, ALIYA BITEMIROVA, MERUYERT AIMAMBETOVNA BERDIYEVA
Abstract:	This paper presents the model of a black form for the organization of computer laboratory work on studying the speed selector that provides short theoretical data, tasks with the subsequent computer check, ambiguous tasks, research and creative assignments. Students may not complete them all, and the teacher may combine them or offer other similar tasks taking into account the ability of each student. This model was tested by pupils of Shymkent schools: Nazarbayev Intellectual School of Physics and Mathematics, the regional school "Daryn" for gifted children, M. Auezov Gymnasium-School in Arys and by first-year students enrolled in the specialty "Physics" during laboratory classes. According to the questionnaires of students, teachers and parents, almost all the respondents noted the effectiveness of teaching: such lessons are held with great interest of students and increased motivation for learning. This model helps to realize an individual approach to each student as well as promotes the development of experimental skills, research and creative abilities, critical thinking skills and adaptive competence, deep mastering of the topic, the effective use of information and computer technology. At the same time, such assignments as solving ambiguous tasks and tasks with missing data contribute to the development of an informal approach to the problem of theoretical competence.
Keywords:	Blank Form Model, Computer Laboratory Work, Mass Spectrometer, Speed Selector, Research And Creative Tasks, Electric Field Intensity, Magnetic Field Induction, Electron, Proton, Helium And Uranium Kernels.
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2017 -- Vol. 95. No. 13 -- 2017
Full Text

Title:	KALMAN STABILIZATION UNDER CHANNEL DIVERSITY IN MIMO-OFDM SYSTEM
Author:	G. RAJENDER, Dr. T. ANILKUMAR, Dr. K. SRINIVASA RAO
Abstract:	Signal estimation and its performance has always remained a challenge for wireless communication society. New methods to consider channel diversity and spectrum usage were proposed in past. This paper present a new approach to interference controlling, With a proposal for control of resources, to achieve the goal of increasing performance in the allocation system, using the interference conditions. Approach to control overlap in the framework of coordination and indiscriminate accessing for multiple users communication is proposed. The proposed approach develops a correlation method for resource allocation in on a multi path interference condition for faded channel condition based on the space frequency and non-stationary domain estimation.
Keywords:	Kalman stabilization, MIMO-OFDM, channel diversity.
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2017 -- Vol. 95. No. 13 -- 2017
Full Text

Title:	APPLICATION OF FUZZY LOGIC FOR EVALUATION OF RESILIENT MODULUS PERFORMANCE OF STONE MASTIC ASPHALT
Author:	HAMID SHIRMOHAMMADI , FARHAD HADADI
Abstract:	Stone Mastic Asphalt (SMA) is a popular used asphalt on the main roads under heavy traffics. Due to its highly permanent age, excellent performance characteristics, road authorities, especially in European countries have selected it in arterial roads for pavements. But, some unexpected conditions might make the SMA improper, mainly because of the lack of enough evaluations. Another thing that should be examined is about the uncertain assessments of SMA performance. Uncertainty in engineering problems will cause incorrect evaluation. In recent years, new methods for assessing and analyzing were applied which include computational and artificial intelligence systems such as Artificial Neural Networks (ANN) and Fuzzy Logic (FL) in various engineering fields. The aim of this study focuses on the application of fuzzy logic for the assessment of Stone Mastic Asphalt (SMA) performance characteristic which is known as resilient module. It is evaluated under Stone Mastic Asphalt effective characteristics that are considered as air voids, bulk density, and permeability coefficient. In this study, standards for stone mastic asphalt have been gathered from the German and Australian tests. In the beginning, Fuzzy logic uses weighted average operations to enter input data, then the output will come into assessment by a mathematical model. Finally, results indicate as air void contents (%) increase, resilient modulus (Mpa) significantly decreases. Although resilient modulus (Mpa) rises when bulk density (t/m 3) and permeability coefficient (cm/s) have a rise trend. Moreover, the experimental results show that Fuzzy logic can be applied to improve the accuracy of this evaluation.
Keywords:	Stone Mastic Asphalt, Performance Characteristic, Resilient Module, Fuzzy Logic
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2017 -- Vol. 95. No. 13 -- 2017
Full Text

Title:	ENSURING AUTHENTICATION IN CLOUD COMPUTING THROUGH HOMOMORPHIC ENCRYPTION
Author:	MUTI-UR RASOOL, SAMAN IFTIKHAR , TANZILA SABA3, JARALLAH SALEH AL-GHAMDI
Abstract:	Cloud computing is a relatively new research domain and currently, emphasizes a lot over the whole daily tasks of life. It's significant ownership and utilization is supposed to enhance furthermore, making it an essential ingredient for the future. In this research, data security of cloud computing is aimed to find out exactly how these kinds of problems are resolved. The objective of this particular research is to avoid data contact from an unauthorized user, to recommend a sort of distributed scheme to offer safety of the information in the cloud. We believe as per experimental results that it could be accomplished by utilizing homomorphism encryption along RSA algorithm. Promising results are achieved that are comparable to the state of art.
Keywords:	Cloud computing, Homomorphic encryption, Cloud security, Cloud computing RSA
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2017 -- Vol. 95. No. 13 -- 2017
Full Text

Title:	A SPEECH-LANGUAGE THERAPY TOOL USING INTERACTIVE BOOK APP IN BAHASA MALAYSIA FOR SPECIAL NEEDS CHILDREN
Author:	BAO XIN GANG, SUHAILA ZAINUDIN, HASHERAH MOHD IBRAHIM, LAM MENG CHUN
Abstract:	Interactive story books (ISB) mobile application is an app designed for children to practice their speech, language and literacy skills. ISB has the potential to be used to support education and learning for individuals with cognitive disabilities. These apps include visual and auditory artifacts that demonstrate language and can be an incredible aid for children with different kinds of speech-language symptoms. In the context of Malaysia, the development of ISB suffers from a lack of practical experience with children, especially for the children who have special needs in speech-language impairments. This research focused on Malaysian children with special needs and their parents. The ISB was developed using the Android platform. The ISB includes three parts: ISB, speech exercise and animated songs. There is a media player to record and play the children’s voices as a way for them to practice their pronunciation. There is also an embedded media player to control the videos to stop or play. The experts with experience in speech-language therapy are gathered to answer a survey about the evaluation on the app. After that, the parents and the children who have special needs are also gathered to answer another survey to get the evaluation on the app as well. These surveys are targeted for collecting the evaluation on the prototype of ISB (content and usability). Based on the result of the survey, the respondents (the experts, parents and children) have the qualifications to take part in the survey, the respondents agree with the content (pictures, music, color and quiz) of the ISB and the respondents also agree with the usability (usefulness, ease of use, ease of learning and satisfaction) of the ISB. Some respondents also give their ideas to improve the app. The main contribution of this study is the developed ISB for speech-language therapy that allows the therapy to be performed by the parents of the special needs children at home without the help of the Speech and Language Pathologists(SLPs). Other than that, the app is also developed by involving the experts, parents and children with special needs to ensure that the app fulfills the requirement for speech -language therapy.
Keywords:	Interactive Book App, Children, Bahasa Malaysia, Speech -language Therapy, Evaluation
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2017 -- Vol. 95. No. 13 -- 2017
Full Text

Title:	A NEW COMPUTATION METHOD FOR POINTING ACCURACY OF CASSEGRAIN ANTENNA IN SATELLITE COMMUNICATION
Author:	S.V. DEVIKA, KAILASH KARKI, SARAT K KOTAMRAJU, K. CH. SRI KAVYA, Md. ZIA UR RAHMAN
Abstract:	The amount of pointing error (beam squint) plays a decisive role in maintaining high data link for satellite communication. Antenna pointing errors cause a decrease in gain as well as an increase in interference to neighboring satellites. Due to the restricted beam width in high gain antennas, precise pointing is needed. In this paper, the pointing error for 1.5m Cassegrain antenna (ground station antenna) is calculated with respect to its structural displacements (mainly Feed Displacement and Secondary Reflector Translation). Also, the impact of these structural deflections on antenna parameters such as peak gain, phase error, and sidelobe level is evaluated. The result shows that pointing error may rise up to 1.6 degrees for one-inch displacement of structures. Finally, 75% of gain loss is compensated by using movable feed and Subreflector.
Keywords:	Antenna Pointing, Cassegrain Antenna, Feed Displacement, Lateral Defocus, Axial Defocus, Phase Error.
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2017 -- Vol. 95. No. 13 -- 2017
Full Text

Title:	EVALUATION OF BLENDED LEARNING PROCESS OF EXPERT SYSTEM COURSE PROGRAM BY USING CSE-UCLA MODEL BASED ON MOBILE TECHNOLOGY
Author:	DEWA GEDE HENDRA DIVAYANA, ANAK AGUNG ISTRI NGURAH MARHAENI, NYOMAN DANTES, IDA BAGUS PUTU ARNYANA, WARDANI RAHAYU
Abstract:	The aim of this research was to know the implementation of CSE-UCLA evaluation model based on Mobile Technology and to know the evaluation result of blended learning implementation on expert system course program by implementing CSE-UCLA evaluation model based on mobile technology. Research method used in this study was development method with development design that was 4-D development model (Define, Design, Develop, and Disseminate). Research subjects who were involved in the initial trial were 4 people, they were: 2 informatics experts and 2 education experts, while the subject of this research on trial usage was 10 people, they were: 6 lecturers, 2 informatics experts, and 2 Educational experts. Data analysis technique used in this research was quantitative descriptive analysis technique. The results of this study indicated that the implementation of CSE-UCLA evaluation model based on Mobile Technology was realized in the design of model and evaluation application program which had been compiled well. The effectiveness level of the implementation for blended learning on expert system courses program at one private computer university in Bali by using CSE-UCLA evaluation model based on Mobile Technology was 88.15%, thus, it belong to good qualifications.
Keywords:	Evaluation, Blended Learning Process, CSE-UCLA, Mobile Technology.
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2017 -- Vol. 95. No. 13 -- 2017
Full Text

Title:	RECOGNITION OF HANDWRITTEN TIFINAGH CHARACTERS USING GRADIENT DIRECTION FEATURES
Author:	LAHCEN NIHARMINE, BENACEUR OUTTAJ, AHMED AZOUAOUI
Abstract:	Optical Character Recognition system goal is to convert handwritten characters input images to an editable text. Many OCR techniques have been developed by researchers for Latin and Arabic languages. Amazigh language still have few works in this area. This paper emphasizes a new methodology to recognize the Tifinagh characters using zoning gradient features with a high accuracy and recognition rate. The new methodology is based on gradient direction as features and artificial neural networks as a classifier. The novelty of the new proposed system is the high accuracy and the training time which is very small compared with other classifiers.
Keywords:	Tifinagh alphabet, Optical Character Recognition, Gradient Direction Features, Artificial Neural Networks.
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2017 -- Vol. 95. No. 13 -- 2017
Full Text

Title:	THE DECISION-MAKING MODEL REGARDING THE COMPLEXITY OF SYSTEM
Author:	SIHAM ABDULMALIK MOHAMMED ALMASANI, VALERY IVANOVICH FINAEV, WADEEA AHMED ABDO QAID, ALEXANDER VLADIMIROVICH TYCHINSKY
Abstract:	The article is devoted to the development of methods and decision-making models for assessing the complex system concept. The justification of the relevance of the complex system assessment problem to solve the simulation and system control problems. The system definition and the basic concepts of the systems classification are given. The analysis of the existing complex systems definitions is shown. The necessity of using the expert assessment of the system complexity is determined. The method of the system complexity assessment (determination) based on the experts knowledge is proposed. In this article the application of the classification model for decision-making regarding the complex system is shown. The example of the stock market complexity assessment is considered.
Keywords:	System, Complexity, Assessment, Parameters, Simulation, Decision-making, Experts.
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2017 -- Vol. 95. No. 13 -- 2017
Full Text

Title:	REAL-TIME NUMERICAL 0-5 COUNTING BASED ON HAND-FINGER GESTURES RECOGNITION
Author:	ABD ALBARY SULYMAN, ZEYAD T. SHAREF, KAMARAN HAMA ALI FARAJ3, ZAID AHMED ALJAWARYY, FAHAD LAYTH MALALLAH
Abstract:	A well Pointing out by hand for originating some gestures is highly useful in terms of human computer interactions especially when mute people desire to speak something, here a difficulty is raised by delivering their message to the outside world. Therefore, these people can do easily some tasks by drawing a gesture in air using their hands in front of a computer camera which translates these gestures to a speech or text to be understood by other people. Part of hand gesture recognition is counting by hand. This paper proposes a new technique describing hand gesture numerals which are from 0 to 5 that are pointed out by people to be understood by a computer. The technique is implemented by reading a frame as an image then extracting only hand by using YCbCr colour space filter. Then, it is converting to black and white image. After that, number is assigned to a gesture by counting number of flip as white to black from left to right on an intelligently selected path to be scanned on. The experiment was conducted using 180 random hand gesture frames taken from random people, the result of this recognition rate is recorded as 98%.
Keywords:	Hand Gesture Recognition, Feature Extraction, Image Processing, Computer Vision, Data Science.
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2017 -- Vol. 95. No. 13 -- 2017
Full Text

Title:	A TRIPARTITE PARTITE KEY ASSIGNMENT SCHEME FOR SECURITY OF CLOUD DATACLASSES
Author:	Mr. P.DILEEP KUMAR REDDY, Dr. R. PRAVEEN SAM, Dr. C. SHOBA BINDU
Abstract:	Class based cloud data security is more prominent today. Data of all the classes may not be that frequently accessed by the owner or the users. Data of high prioritized class is frequently accessed and the cloud technology seeks much secured parameters to raise the security of the high prioritized data. More over many of the old cloud technologies needed with user re-authentications when he is simultaneously accessing high class and low class data. This paper presents a new key generation and Class authentication scheme to run the security specifications of the prioritized data. This paper also presents a tri-partite authentication scheme. This scheme has found efficient in reducing the number of user re-authentications.
Keywords:	Cloud Technology, Prioritized Data, Re-Authentications, Tri-Partite
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2017 -- Vol. 95. No. 13 -- 2017
Full Text

Title:	IMPLEMENTING AN EFFICIENT EXPERT SYSTEM FOR SERVICES CENTER MANAGEMENT BY FUZZY LOGIC CONTROLLER
Author:	MOHD KHANAPI ABD GHANI, MAZIN ABED MOHAMMED, MOHAMMED S. IBRAHIM, SALAMA A. MOSTAFA, DHEYAA AHMED IBRAHIM
Abstract:	Expert System (ES) is considered to be the prominent reasoning practices which are commonly employed towards various application domains. Considering expert systems, human understanding regarding specific proficiency in accomplishing specific tasks could be signified as facts and rules towards their knowledge base, which finds and employs the data delivered by means of a manipulator. Reasoning procedure has been further employed towards the specified expertise by means of heuristic methods for formulating the elucidation. Mechanisms which employ knowledge based approaches are considered to be more candid when compared to other conservative approaches. Knowledge could be signified clearly towards knowledge base, thereby capable in alteration with comparative easiness, which commonly employs the concept of rules. Inference engines employ knowledge base subjects for solving specific problems based on user responses by means of interface (for instance, specify the situations needed for car assessment). This inference unit deeds with knowledge for applying this knowledge for specific problems. There are numerous approaches for control systems that are applied in all the major areas in industry. In all these approaches for controlling the systems, fuzzy has been deemed to be the best methodology, mainly because of its increased speed and cost-efficiency. For machine regulation, fuzzy logic is found to be vividly employed. This paper mainly focuses in designing the simulation model for fuzzy logic regulator in advising the supervisor of service center in maintaining definite delay in service towards acceptable limits to the customers by the usage of simulation package, the Fuzzy Logic Toolbox MATLAB Simulation tool.
Keywords:	Expert Systems, Artificial Intelligence, Services Center Management, Fuzzy Logics, Knowledge-Based Systems, Inference Engines.
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2017 -- Vol. 95. No. 13 -- 2017
Full Text

Title:	EVALUATING THE ACCURACY OF USING CROSS DATASETS TO PREDICT NEW LOCAL HEART DISEASES CASES
Author:	AHMAD MOUSA ALTAMIMI, MOHAMMAD AZZEH
Abstract:	Extracting hidden knowledge from healthcare datasets are quite important for the health sector. It is a common practice that health organizations often focus on their local data to build prediction model that can be used to predict and identify some popular diseases, heart diseases are no exception. The main challenge that faces health organizations around the world is how to generalize the prediction model on different cases collected from different places. It is well recognized that the health prediction models are built over data collected from a specific community, but there is a lack of confirmation if this model can be applied for data collected from different communities. In this paper we turn our attention to heart diseases problem. In this work, we empirically examine the prediction accuracy of different classification algorithms when different medical datasets are used for learning and testing. Specifically, three studies were developed to determine how successfully we can generalize a model that is built based on a dataset obtained from a health organization and then used to predict new cases from different one. In the first study we developed and tested classification models over each individual dataset, whereas in the second study we developed classification models over a dataset and tested using another dataset. In the last study, we made a merge between the employed datasets, then a classification model is built and tested over the merged dataset. Results from these studies confirm that using a classification model built from different dataset and used to predicted cases from another dataset is generally reasonable and accurate. They also confirm that merging heart disease datasets that have the same structure are useful for identifying potential cases.
Keywords:	Data Mining Classifiers, Prediction Model, Accuracy, Cross Datasets, E-Health
Source:	Journal of Theoretical and Applied Information Technology 15^th July 2017 -- Vol. 95. No. 13 -- 2017
Full Text

dew