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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
July 2017 | Vol. 95 No.14

Title:	GUIDING FEATURE BASED SAR IMAGE ALIGNMENT USING BAG OF WORDS MODEL
Author:	B SIRISHA, B SANDHYA, CHANDRA SEKHAR PAIDIMARRY, AS CHANDRASEKHARA SASTRY
Abstract:	Automatic SAR image alignment or registration is one of the fundamental preprocessing operations in several applications of computer vision, image processing, pattern recognition etc. Advances in feature extraction algorithms have led to the development of efficient alignment algorithms which offer invariance to deformations like scale, rotation, view angle etc. To further improve the performance of standard SAR image alignment, an iterative approach generating multiple synthetic views, known as view synthesis has been employed. State of art detectors like SIFT, SURF, Hessian Affine and MSER when used with view synthesis have been proved to be invariant to a wider range of deformations, however at the cost of additional memory and time to be spent on generation of views and feature extraction across all the views. Hence we studied if the characteristics of source and target SAR images to be aligned can be used to provide some knowledge and guide SAR image alignment approach. This paper focuses on identifying the possibility of aligning two SAR images and also predicts suitable alignment approach by building a predictive data mining model using classification based algorithms. The dataset of 540 Terra SAR X band images is tested and applied on various classification algorithms such as Naive Bayes, SVM, and J48 using attributes computed from Bag of Words model applied on feature detector and descriptor.
Keywords:	Image Alignment, Feature Detection, Feature Description, View Synthesis, Bag of Visual Words, SVM
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2017 -- Vol. 95. No. 14 -- 2017
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Title:	QUESTION ANSWERING SYSTEM : A REVIEW ON QUESTION ANALYSIS, DOCUMENT PROCESSING, AND ANSWER EXTRACTION TECHNIQUES
Author:	FANDY SETYO UTOMO, NANNA SURYANA, MOHD SANUSI AZMI
Abstract:	Question Answering System could automatically provide an answer to a question posed by human in natural languages. This system consists of question analysis, document processing, and answer extraction module. Question Analysis module has task to translate query into a form that can be processed by document processing module. Document processing is a technique for identifying candidate documents, containing answer relevant to the user query. Furthermore, answer extraction module receives the set of passages from document processing module, then determine the best answers to user. Challenge to optimize Question Answering framework is to increase the performance of all modules in the framework. The performance of all modules that has not been optimized has led to the less accurate answer from question answering systems. Based on this issues, the objective of this study is to review the current state of question analysis, document processing, and answer extraction techniques. Result from this study reveals the potential research issues, namely morphology analysis, question classification, and term weighting algorithm for question classification.
Keywords:	Information Retrieval, Question Answering, Question Analysis, Natural Language Processing
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2017 -- Vol. 95. No. 14 -- 2017
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Title:	BIOMETRIC IDENTIFICATION USING GLOBAL DISCRETEZATION
Author:	BAYAN OMAR MOHAMMED, RZGAR SIRWAN RAZA , SITI MARIYAM SHAMSUDDIN
Abstract:	Biometrics is the science and technology that involves the measurement and analysis of the human body’s biological data. Biometrics involves the extraction a feature set from the obtained data. The feature set is then compared against the template set stored the database. Identification of people must demonstrate reliability and accurately especially in the domains of business transactions and in the access to confidential information. The currently available fingerprint biometric Identification concentrates on feature extraction and task of classification for authorship identification. In fingerprint, the random representation may cause degradation to the performance of classification. Thus, prior to the classification task, certain standards should be present to denote these unique features. In relation to this, the application of the discretization technique would be beneficial. Hence, a new framework for fingerprint biometric identification is proposed. This paper particularly shows the outcome of discretization process on fingerprint samples to attain individual identification. In this paper, the new proposed framework and classic framework were compared using samples. Based on the results, classification accuracies of 90% were obtained when using discretization process with fingerprint biometric identification.
Keywords:	Biometric, Fingerprint Identification, Individuality, Geometric Moment Invariant, Discretezation
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2017 -- Vol. 95. No. 14 -- 2017
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Title:	COMPILING A DICTIONARY OF LOAN WORDS IN BALINESE: THE EVALUATION RESULT OF EFFECTIVENESS TESTING IN THE FIELD AIDED BY MOBILE TECHNOLOGY
Author:	I NENGAH SUANDI, IDA BAGUS PUTRAYASA, DEWA GEDE HENDRA DIVAYANA
Abstract:	The objective of this third year study was to describe the result of the effectiveness testing in the field aided by mobile technology to the draft of dictionary of loan words in Balinese that has been successfully validated by linguists and lexicologists in the second year. This study was designed by following the stages of thinking in research and development adapted from the development of a set of teaching materials using 4-D model (Define, Design, Develop, and Disseminate). The subjects for this third year were Balinese language teachers and the students of Balinese Language Department in the public as well as in private institutes of higher learning in Singaraja and Denpasar. The data were collected through questionnaire The data that had been collected were analyzed by using a descriptive analysis Based on the formulation of the problems in this third year research and data analysis that has successfully been done it can be concluded that quantitatively, the draft of dictionary of loan words in Balinese can be said to be effective since the mean score obtained was 3.6 (falling into effective category). However, qualitatively, there are reasonably many inputs given by the respondents for the purpose of improving the draft of the dictionary. The inputs given are related to the aspects of (1) the appearance, (2) the title of the dictionary, (3) the foreword, (4) the guide to the use of the dictionary, (5) the quality of the contents of the dictionary and (6) bibliography.
Keywords:	Dictionary of Loan Words, Effectiveness Test, Mobile Technology
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2017 -- Vol. 95. No. 14 -- 2017
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Title:	SYSTEM OF MEDIATION FOR MOBILE PAYMENT WITH THREE FACTORS AUTHENTICATION
Author:	WADII EL HILLALI, JAOUAD BOUTAHAR, SOUHAÏL EL GHAZI EL HOUSSAINI
Abstract:	Since the early ages, the human being has not ceased to develop its system of exchange. The first system introduced is barter which has evolved over time in currency, taking various forms (shells, teeth, feathers ...). The appearance of microelectronics has favored the appearance of a new era of payment systems which is the credit card, it is currently the most used means of payment throughout the world. Today financial institutions want to replace the credit card by mobile phone. In this article we will present the implementation of a mediation platform for mobile payment, and we will present an implementation approach to the Fido standard for Three-Factor Authentication.
Keywords:	M-payment, 3FA, NFC, Fingerprint, Android, SOAP
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2017 -- Vol. 95. No. 14 -- 2017
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Title:	ALTERNATIVE MODEL BASE AS AN ENABLER FOR SUCCESS OF BUSINESS INTELLIGENCE-BASED COMPANIES USING C4.5
Author:	KISWORO
Abstract:	Business intelligence has been base for new form of business in the world. Companies have respectfully adopted the base for gaining success. Internet is used for reaching the goal. Information and users becomes core assets for facing the future. But so many complex factors have been making up every detail efforts. It is very interesting to be researched under conscience and smartness. Business intelligence concepts should be observed and causes should be found. From computer science side, especially computation with its effects to decision making of management level, this research has found a small side relates to alternative model base as enabler. From ocean names computation references, C4.5 appears and looks very incredible to be entered. A decision then comes to use by the reasons that the algorithm has been top ten in the computation world. It is used widely by academic environment and practitioners, tested and accepted. It will be promising for the future. Therefore, this research has: (a) motivation to encourage seeking answer against hope for success in Business Intelligence-based business, (b) focus on offering an alternative model base possibility for companies to develop information, (c) research object: companies spread on the internet, and (d) significance on contributing modeling result in form of decision tree via C4.5.
Keywords:	Business Intelligence, Alternative Model Base, C4.5, Companies.
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2017 -- Vol. 95. No. 14 -- 2017
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Title:	WEB SERVICE FOR INCREMENTAL DATA WAREHOUSES FRAGMENTATION ASSISTED WITH TEMPORARY MATERIALIZED VIEWS
Author:	ABDELAZIZ ETTAOUFIK, MOHAMMED OUZZIF
Abstract:	The Data warehouse (DW) has become the essential component of almost every modern enterprise information system. It is proposed to collect and store heterogeneous and bulky data. DW represents a collection of thematic, integrated, non-volatile and histories data. It is feds from different data sources and it is highly required of the system to respond to complex online analytical queries. Generally, the analytical queries execution cost on large tables is very high. Reducing this cost becomes essential to enable decision-makers to interact in a reasonable time. In this context, different optimization techniques such as fragmentation, indexing, materialized views, and parallelism are used. On the other hand, the volume of data residing in the DW is constantly evolving. This can increase the complexity of frequent queries, which can degrade the performance of DW. The administrator always has to manually improve the DW performance from the new load of frequent queries. Distance Administration of DW through the web becomes important. The approach proposed in this paper aims at an incremental horizontal fragmentation technique assisted with temporary materialized view through a web service. This technique is based on managing the temporary materialized view in order to optimize the new frequent queries before proceeding on the implementation of the fragmentation. An experimental study on a real DW is carried out and comparative tests show the satisfaction of our approach.
Keywords:	Data Warehouse, Cloud Computing, materialized views, incremental fragmentation, frequent queries, web service.
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2017 -- Vol. 95. No. 14 -- 2017
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Title:	A REVIEW OF FINDINGS ON AGENT SPAWNING AND MOBILITY
Author:	OSAMA TREEF ALSHAKI, MOHD SHARIFUDDIN AHMAD, MOAMIN A. MAHMOUD
Abstract:	Mobile agent technology is becoming more popular and has been implemented in many areas. Several research have been conducted to address its challenges including two of the most important which are agent spawning and agent mobility. This paper reviews the mobile agent technology, the background concept of mobile agent cloning and spawning, agent mobility as well as the problems faced by many researchers during their research on mobile agent. Various mobile agent types are also discussed. The paper finally proposes a new agent spawning and mobility models to resolve some of the researchers problems.
Keywords:	Agent Architecture, Mobile Agent, Agent Cloning, Agent Spawning
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2017 -- Vol. 95. No. 14 -- 2017
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Title:	FINE GRAINED MULTI ACCESS CONTROL VIA GROUP SHARING IN DISTRIBUTED CLOUD DATA
Author:	RANJEETH KUMAR M , N.SRINIVASU , LOKANATHA C. REDDY
Abstract:	Distributed cloud data storage is an advanced and empirical concept in present days for out sourcing of data in cloud. A new decentralized grained access control approach is required for privacy on data storage that supports anonymous authentication. In this paper we introduce to propose and develop an approach i.e. Scalable Attribute Based Encryption (SABE) to achieve grained with flexible and scalable access control in cloud computing for secure distributed cloud storage. SABE is not only perform scalable due to its pyramid structure, it also share effective and flexible access control in supporting on ABE, it also assigns for user expiration time and revocation efficient than existing schemas. Protected data transmission among users should be effective in as well as flexible in order to support access control policy models with secure team communication, selective and hierarchal data transfer control in sharing. So in this paper we propose and develop Transmitted Team Key Management (TTKM), where each client (user) in group shares a secret trust key owner with subsequent rekeying for data sharing join or departure of users requires only broadcast message between data sharing in cloud. We analyze the privacy of proposed TTKM schema and compare with existing SABE security schema’s in distributed data sharing. We also provide real time secure cloud setup with suitable server configurations based on service domain IP-address and service domain. Our experimental results show effective data access control with authorized security considerations.
Keywords:	Access Control, Pyramid Structure, Distributed Cloud Storage, Transmitted Team Key Management, Privacy Model
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2017 -- Vol. 95. No. 14 -- 2017
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Title:	MINING OPINIONS FROM BIG DATA OF INDONESIAN HOTEL REVIEWS
Author:	VERONICA S. MOERTINI, VINSENSIUS KEVIN, JEANE SATYADI
Abstract:	Mining customer opinions from hotel reviews is useful. The results can then be used to help customers in choosing the most suitable hotel. In this research, a technique for mining opinions from big data of Indonesian hotel reviews, which is based on MapReduce, is developed. To avoid iterative computations, we adopt look-up table approach. The experiments for evaluating the performance of the technique were conducted on a Hadoop cluster with 14 clients. The results show that the proposed technique discovers useful opinion summary and is scalable.
Keywords:	Mining Indonesian hotel reviews, big data, MapReduce
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2017 -- Vol. 95. No. 14 -- 2017
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Title:	FIBROUS ROOT MODEL IN BATIK PATTERN GENERATION
Author:	PURBA DARU KUSUMA
Abstract:	Batik is one of famous cultural heritage in Indonesia. One effort to preserve batik is by exploring new patterns. One of popular pattern is floral pattern. In this research, fibrous root model is proposed and is combined with the traditional batik pattern. This model is developed by combining root growth model based on L-system and random walk. In this research, the fibrous root model has been implemented into computer based batik pattern generation with some alternatives: single direction, random direction, and radial direction. Based on the test, split ratio has positive correlation with the average number of segments. Die ratio has negative correlation with the number of segments. The maximum deviation angle makes the root growth wider. The number of seeds and the number of iterations have positive correlation with the number of segments. The increasing of the number of seeds makes the complexity grows linearly. The increasing of the number of iterations makes the complexity grows logarithmically.
Keywords:	Fibrous Root, Batik, Pattern Generation, L-System, Stochastic
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2017 -- Vol. 95. No. 14 -- 2017
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Title:	AN IMPROVED PERIPHERAL ENHANCEMENT OF MAMMOGRAM IMAGES BY USING FILTERED REGION GROWING SEGMENTATION
Author:	NIRASE FATHIMA ABUBACKER, AZREEN AZMAN*, MASRAH AZRIFAH AZMI MURAD, SHYAMALA DORAISAMY
Abstract:	During the mammographic acquisition, the breast is compressed with a tilting compression paddle; hence the breast thickness is non-uniform across the mammogram and thinner in the peripheral area and therefore over exposing this area. In Computer Aided Detection systems, peripheral enhancements were used as a pre-processing stage for the enhancement of peripheral visibility of the uncompressed region of the projected breasts. A correction function is required to expand the perceptibility of the peripheral area that necessitates a better-segmented output of the peripheral region. This paper aims to improve the peripheral enhancement technique by using region growing segmentation method combined with an average filter that scales the grey level of the border regions to brighten the mammogram image. The filter enhances the details of those images and helps to obtain a better segmentation output, which is used as an input to the peripheral enhancement process. In the evaluation, a total of 600 images that consists of 300 normal, 170 benign and 130 malignant mass images, which are obtained from the Digital Database Screening Mammography (DDSM) dataset of the University of South Florida are used. The quality of an image after the peripheral enhancement process is evaluated subjectively and objectively, by using visual illustrations and the peak signal-to-noise ratio (PSNR), respectively. The results obtained show that the filtered region growing segmentation method outperforms the Otsu and the K-means segmentation methods.
Keywords:	Mammography Image Processing, Radiographic Image Enhancement, Computer-assisted Diagnosis, Image Quality
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2017 -- Vol. 95. No. 14 -- 2017
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Title:	PROGRESSIVE LOAD EQUILIBRATING USING HYBRIDIZED FA-CO IN DATA STREAM CLASSIFICATION
Author:	S. RAJESH KUMAR, DR. S. MURUGAPPAN
Abstract:	Load Equilibration is the central attribute in the data stream classification. A huge amount of data is generated from the streams of data in real time applications such as set of transaction process, Intrusion Detection System and so on. A plethora of load equilibration techniques are available but not precised for global optima solutions. The paper re-searched on equilibrating the loads among the nodes. We proposed “Hybridized FA-CO” algorithm that highlights the features of best prediction of nodes for equilibrating the loads. The operators of a firefly are merged with phenomenon of ant system to heighten the generation of global optima solutions. The resources are assigned properly to its corresponding nodes. In data stream, the data is continuous. In data mining networks, the mining of nodes is of great importance. The paper deals with the prediction of nodes to keep up the loads. The continuous attributes like foretell value, foretell time and Rate of mining are used to keep up the loads. Rate of mining is the mining of nodes with least carrying loads. The experimentations are conducted on data mining networks and the performance validation is done. The result proves that the hybridized approach works efficiently for equilibrating the loads.
Keywords:	Load Equilibration, Firefly Operators, Ant system, Rate of mining, Foretell Value and Foretell time
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2017 -- Vol. 95. No. 14 -- 2017
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Title:	INTERACTION FORCES-RANDOM WALK MODEL IN TRADITIONAL PATTERN GENERATION
Author:	PURBA DARU KUSUMA
Abstract:	There are many traditional decorative patterns in Indonesia. Some of them are regular pattern. The advantage of regular one is its simplicity and easiness to be built by iterative algorithm. The disadvantage is it is monotonous. So, stochastic method can be implemented into regular pattern to add uncertainty. In this paper, the uncertainty was added by implementing combination of deterministic and stochastic approach into the regular pattern. The deterministic part is represented by modified interaction forces method. The stochastic part is represented by random walk method. This model also implemented multi agent approach by using two types of agent: starting point determinant and walker. In this paper, walker still walks until it cannot walk anymore. There are two parameters that are tested, the travelled nodes and the occupied cells ratio. In this research, by using interaction force as movement model, the occupied cell ratio is above 50 percents.
Keywords:	Pattern Generation, Interaction Forces, Multi Agent, Random Walk, Batik
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2017 -- Vol. 95. No. 14 -- 2017
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Title:	A REVIEW OF STUDIES ON ONTOLOGY DEVELOPMENT FOR ISLAMIC KNOWLEDGE DOMAIN
Author:	MUHAMMAD AMAN, ABAS BIN MD SAID, SAID JADID ABDUL KADIR, BAHARUM BAHARUDIN
Abstract:	Ontologies are used to explicitly represent knowledge of a various domain, and thus provide a shared understanding. Therefore, with the explosion of textual information on the Internet they are becoming a key technology for semantic-driven modeling, knowledge interchange and integration. Islam is one of the most popular religions of the world and Quran and Sunnah is the main source of knowledge for Muslims. To utilize this non-trivial knowledge domain for the betterment of humanity, numerous studies have been carried out to exploit ontologies for capturing knowledge from Islamic knowledge sources. This paper presents a review of different ontology oriented approaches for building domain specific ontology for Islamic knowledge domain, with the goal to identify the main problems in ontology development, and shortcomings of these approaches.
Keywords:	Ontology development, knowledge representation, ontology learning, Quranic knowledge domain, concept extraction
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2017 -- Vol. 95. No. 14 -- 2017
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Title:	A NOVEL UNDERWATER IMAGE MOSAICKING USING IMAGE REGISTRATION BASED ON FLICKER REMOVAL
Author:	ANJIK SUKMAAJI, EKO MULYANTO YUNIARNO, I KETUT EDDY PURNAMA, MOCHAMAD HARIADI
Abstract:	Video data size could become a problem when it is accessed or stored on mobile devices. Currently, converting video into image mosaicing is the best solution for video data storage on mobile devices. However, underwater video images have more complicated problems. They have common concerns, such as low quality image. The deeper the underwater object is, the more unclear its image become. Although lighting is relatively better in shallow waters, images obtained here often contains flicker, which happens when sunlight is reflected on the water’s surface. Therefore, in the mosaicing process, feature detection must be done first before it is registered. This study attempts to make improvements to underwater image registration process by eliminating flicker so that the feature of the image can be registered. The proposed solution is to use a method to perform flicker detection and removal based on the value (v) in the HSV color model. The method will remove the flicker by automatic selection best value. From the exsperiment result shows 0.65 as the best value (v) for reference flicker. On these values (v), the amount of features that can be detected and registered using SIFT are always higher than using other value (v). Thus, this proposed method can contribute to the image mosaicing registration process
Keywords:	Flicker, mosaicking, HSV, sunlight, SIFT
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2017 -- Vol. 95. No. 14 -- 2017
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Title:	CONCEPT AND APPLICATION OF VIRTUAL REALITY HAPTIC TECHNOLOGY: A REVIEW
Author:	NURATIQA NATRAH MANSOR, MUHAMMAD HERMAN JAMALUDDIN, AHMAD ZAKI SHUKOR
Abstract:	Haptics has been a major part of both future virtual reality experiences and everyday consumer electronics. Wearable technology, since it is in contact with human skins, will be the most likely place to deploy these solutions. Haptics platform is a fast-evolving area and the virtual reality technologies has matured and is giving suitable assistance to robotic surgery and people who are handicapped. This paper reviews the general concept of virtual reality haptics, altogether with its applications, previous research findings, the challenge and its superiority for developing a virtual reality prototype/devices and integration of virtual reality concept with the bilateral control system platform. And lastly, potential upcoming works were discussed and suggestions will be put together for melioration of review findings.
Keywords:	Virtual Reality, Sensory, Tactile, Haptics, Manipulation, Force Feedback
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2017 -- Vol. 95. No. 14 -- 2017
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Title:	SPECIFIC FEATURES OF GRAPHICAL-ANALYTICAL REPRESENTATION OF A PROCESS MODEL OF MANAGING INNOVATION ACTIVITY IN THE FRAMEWORK OF SOFTWARE DEVELOPMENT FOR IMPORT SUBSTITUTION PROJECTS
Author:	OLEG JAKOVLEVICH KRAVETS , OLEG KOSORUKOV , LARISA UTYUSHEVA
Abstract:	The authors have carried out research on the graphical-analytical representation of a process model of managing innovative activity in the framework of software development for import substitution of high-tech IT projects. Unlike the known approaches, the offered aspects of graphical-analytical modeling of a process-based approach in the special subject domain provide both new results concerning the life cycle of software products of import substituting technologies and minimization of administrative costs of the development processes. Taking into account specific features of import substitution projects in the area of IT development, a general graphical diagram of the process model which illustrates composition and the sequence of execution of processes and subprocesses of life cycle of innovative IT developments in the context of a system (for example, in developing import substituting application-oriented or instrumental software as a part of complicated industrial systems) has been proposed. Features of a life cycle of innovative IT solution (innovative software product) with the use of the presented microclassification have been analyzed. The presented results are perspective for elaborating hybrid process and project models, as well as for algorithmization of flexible calculations of administrative prime costs.
Keywords:	Control Of Processes, Life Cycle, Innovative Activities, Software, A Process Model Of Control, Import Substitution
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2017 -- Vol. 95. No. 14 -- 2017
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Title:	WEIGHT ANALYSIS FOR WEIGHTED CLUSTER ALGORITHMS IN MOBILE AD-HOC NETWORK
Author:	HADEEL NOORI SAAD, MOHAMMED BAQER M. KAMEL
Abstract:	Mobile ad-hoc network (MANET) is an infrastructure-less network with unstable dynamic nature. Such environment may cause high control signaling for self-rearrangement, and scalable problems. Weight-based Cluster routing algorithms aim to reduce configuration steps, retransmission and collisions. These algorithms differ in principal of cluster head selection upon some weight criteria such as (energy, connectivity, no. of node’s neighbors and mobility). In this research an analytical model was proposed to examine different criteria’s weights themes for cluster head election. The result expos the effect of the significant of multi combinations of them. Computation of criteria weight upon another criteria gives a smooth weight update with different update steps as results show. This can reflect new trend of weighted clustering algorithms based on network state.
Keywords:	MANET, MANET Clustering, CH Selection, Weighted Clustering,
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2017 -- Vol. 95. No. 14 -- 2017
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Title:	ADAPTIVE WEIGHTED-COVARIANCE REGULARIZED KERNEL FUZZY C MEANS ALGORITHM FOR MEDICAL IMAGE SEGMENTATION
Author:	HEMALATHA K. L., DR. SUNILKUMAR MANVI, DR. H.N. SURESH
Abstract:	Image segmentation is the most common method used to analyze and locate deformities in medical images. Clustering is a technique used in segmentation to group up similar data in a single cluster. FCM is the successful clustering technique employed, which is repeatedly modified by the researcher to make it more robust against noise. In this paper, we present an improved kernel FCM algorithm for image segmentation by introducing a regularization parameter with covariance weighted fuzzy factor and a Gaussian kernel metric. It calculates and uses the heterogeneity of gray scales in the neighborhood location for acquiring local contextual information and replaces the standard Euclidean distance with Gaussian radial basis kernel functions. The main advantages are adaptiveness to local context, preserve image details with enhanced robustness, independence of clustering parameters and decreased computational costs. The experiments are done in Brain Magnetic Resonance Images (MRI) and results are analyzed, show that the proposed algorithm is better segmentation accuracy and efficiency than the other methods.
Keywords:	Fuzzy c-means; Gaussian Kernel; Medical images; Weighted Covariance; Magnetic Resonance Imaging
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2017 -- Vol. 95. No. 14 -- 2017
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Title:	MEASURING THE ACCEPTANCE OF USING UTMS IN JORDAN UNIVERSITIES
Author:	BASSAM M. AL-MAHADEEN, AHMAD ALTHUNIBAT, SAEED M.Z A. TARABIEH
Abstract:	University Timetable management system (UTMS) are used to schedule courses, lecturers and rooms in university by considering some constraints. Although UTMS is a widely studied topic, the use of automated timetabling systems is not widespread among large universities. Therefore, it is important to investigate the factors that influence the intention to use university timetable management system (UTMS) among Higher education lecturers. This study proposed a model for determining the factors that affect the acceptance of using UTMS. The study was conducted by surveying different groups of university’s’ lecturer community. A structured questionnaire was used to collect data from 120 respondents. Results of the study prove that the proposed model is comprehensive to study the acceptance of UTMS in higher education institution. Overall, the results indicated the appropriateness of fundamental elements of TAM in the UTMS context.
Keywords:	Acceptance, Timetable management system, university timetable, TAM model
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2017 -- Vol. 95. No. 14 -- 2017
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Title:	PC-MAC: PRIORITY CONSTRAINED AND CONGESTION AWARE MAC PROTOCOL FOR MULTICASTING IN WIRELESS BODY SENSOR NETWORKS
Author:	V.T. VENKATESWARLU, Dr. P.V. NAGANJANEYULU, Dr. D.N.RAO
Abstract:	MAC (Medium Access Control) protocol is a critical objective in the BSN (Body Sensor Networks).Achieving Quality of Service in Mac protocols towards heterogeneous data transmissions generated from varied sensors is significant research objective. In particular, the efficacy of MAC protocol performance, focusing on the congestion avoidance in multicasting is very essential. Predominantly, the physiological data monitoring applications always generate varied types of traffic comprising multimedia data packets and it is very important to ensure that the heterogeneous traffic schedule of such traffic types are classified based on the priorities and for transmission of the data packets. Considering the pros and cons of various MAC protocol solutions for multicasting that proposed earlier, in this paper, the emphasis is on a novel model of MAC protocol called Priority constrained and CongestionAware MAC Protocol (PC-MAC) for multicasting, in which, the medium access control designed based on traffic prioritization. The structure of data transmission redefined to ensure that the critical data packets transmitted without congestion. PC-MAC protocol shall deliver the missing frames to the multiple sinks with reduced delay that retains the sequence of frames that delivered. The effectiveness of PC-MAC protocol evaluated using experimental studies of simulation carried out in mannasim that build over NS-2. Simulation results have depicted that the proposed model certainly outperforms other contemporary models for BSNs.
Keywords:	Medium access control, Wireless Body Area Networks, Wireless Sensor Networks, Energy-Efficiency, Multicast routing, Priority scheduling, congestion avoidance
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2017 -- Vol. 95. No. 14 -- 2017
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Title:	HVM: A METHOD FOR IMPROVING THE PERFORMANCE OF EXECUTING SQL-QUERY OVER ENCRYPTED DATABASE
Author:	JAAFER AL-SARAIREH
Abstract:	The database system is an important element of information systems for the storage and management of information. Sensitive data in database systems must be protected using encryption techniques, whose application must balance data security and the functional efficiency of query processing. Adaptive approach is proposed in this research to improve the performance of the query over the encrypting sensitive information in databases based on generating a unique hash value for each and every sensitive da ta and translating the SQL clauses into an appropriate form to execute over the hash values attribute. In this scheme, there are no statistical characteristics between the encrypted value and hashed value.
Keywords:	Database; Cryptography; SQL; HVM, Query Processing
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2017 -- Vol. 95. No. 14 -- 2017
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Title:	A RULE-BASED PREDICTION METHOD FOR DEFECT DETECTION IN SOFTWARE SYSTEM
Author:	B. DHANALAXMI, Dr.G.APPA RAO NAIDU, Dr.K. ANURADHA
Abstract:	Software is a complex object that consists of different modules with changing degrees of defect occurrence. By efficiently and appropriate predicting the frequency of defects in software, software project managers can better utilize their workforce, cost and time to obtain better quality assurance. This paper proposes a rule-based prediction (RBP) method for defect detection and for planing the better maintenance strategy, which can support in the forecast a defective or non-defective software module before it can deploy for any software project. The RBP extends the Ripple-down rule (RDR) classifier method to construct an effective rule-basedmodel for accurately classifying the software defects. The method will enhance the software defect prediction so that software testers can spend more time in testing those components which are expected to contain errors. The experiment evaluation is performed over a software repository datasets and the obtained results showa satisfactory improvement.
Keywords:	Defect Detection, Rule-based Prediction, RDR Classification, Software system
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2017 -- Vol. 95. No. 14 -- 2017
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Title:	AN EFFICIENT IMAGE NOISE ESTIMATION TECHNIQUE USING TYPE-2 FUZZY SET AND GENETIC ALGORITHM
Author:	T. MAHA LAKSHMI, DR. ALLURI SREENIVAS
Abstract:	Noise estimation in digital images plays an important role in various kinds of applications such as medical imaging, video processing and communication systems. Noise density estimation from an image can help to analyze the channel properties of a communication system. Some authors have been described with a few algorithms to estimate noise present in the images in the spatial and frequency domain. The quality of a captured image through image acquisition devices like camera or sensor will not be noise free because of some parameters like circuit noise and atmosphere conditions. The main objective of this project is to evaluate the noise levels at different parts of the image with the help of a new algorithm Interval Type-2 Fuzzy Sets Filter (IVT2 FSs) and Genetic algorithm (GA). In this, we have estimated the performance in terms of the Structural Similarity Index Metric (SSIM), Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE) and Noise Variation (NV).
Keywords:	Interval Type-2 Fuzzy Sets Filter, Genetic algorithm, Structural Similarity Index Metric, Peak Signal to Noise Ratio, Mean Square Error.
Source:	Journal of Theoretical and Applied Information Technology 31^st July 2017 -- Vol. 95. No. 14 -- 2017
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