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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
December 2015 | Vol. 82 No.2

Title:	ENRICHMENT AND POPULATION OF AN EDUCATIONAL ONTOLOGY FROM A CORPUS OF MATHEMATICAL ANALYSIS
Author:	IMANE LMATI, HABIB BENLAHMAR, NACEUR ACHTAICH
Abstract:	The automatic populating of ontologies from pedagogical textbooks is very hard treatment. Several scientific studies are looking to implement solutions based on linguistic tools to automatically or semi-automatically enrich the ontology by the natural language of mathematical text. But there are still difficulties for the extraction of the meaning of mathematical expressions and their relationships. We present in this paper a methodology for populating of Math-Bridge ontology from the mathematical content of analysis, whose goal is the automatic generation of mathematical exercises from ontology populated. The idea is to use lexical and syntactic patterns for extraction and decomposition of instance attributes into linguistic propositions. A syntactic and semantic comparison of attributes allows extracting semantic relations using WordNet ontology for the textual part and Abstract Syntax Tree AST for the logic part. A first implementation for textual part was developed in JAVA, Framework Jena, and SARQL engine for displaying ontology. We envisage in the further research to develop the second part of the prototype (Logical part).
Keywords:	Ontology, Population, Semantic Web resources, Information Extraction, Enrichment.
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2015 -- Vol. 82. No. 2 -- 2015
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Title:	SECURE DATA IN CLOUD COMPUTING USING HOMOMORPHIC ENCRYPTION
Author:	YASMINA BENSITEL, RAHAL ROMADI
Abstract:	The emergence of cloud computing and cyber-physical systems made of security in processing data a major challenge. In order to ensure privacy and confidentiality of the data being manipulated, the use of cryptography is widely used today. In 2009, C. Gentry proposed the first fully homomorphic cryptosystem, to perform calculations on data previously encrypted without having to decrypt. This progress has allowed the opening of many industrial and research perspectives. However, despite recent progress, many limitations remain today on the lack of performance of these systems and their strong memory requirements. In this paper we focus on cloud computing along with its various security and privacy issues, we describe the role of homomorphic encryption scheme for ensuring data privacy and compare its types based on different characteristics.
Keywords:	Cloud computing, Homomorphic encryption, Data privacy, Confidentiality, Security
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2015 -- Vol. 82. No. 2 -- 2015
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Title:	DEVELOPMENT OF THE METHODS AND TECHNOLOGIES FOR THE INFORMATION SYSTEM DESIGNING AND IMPLEMENTATION
Author:	BORANBAYEV S.N., NURBEKOV A.B
Abstract:	The article is devoted to the development of methods and technologies for the designing and development of the information systems. The implementation of the developed methods and technologies forinformationsystem designing and creation will enable to regulate the modeling process and collect in the course of its implementation formalized information to plan the stages of the designing, to provide functionalcompleteness and logical integrity of their results.
Keywords:	Model Method, Designing, Information System, Technology, Network
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2015 -- Vol. 82. No. 2 -- 2015
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Title:	DIVERSITY ENHANCEMENT IN COMMUNITY RECOMMENDATION USING TENSOR DECOMPOSITION AND CO-CLUSTERING
Author:	MORTEZA RASHIDI KOOCHI, AB. RAZAK CHE HUSSIN, HALINA M. DAHLAN, SAREH RASHIDI KOOCHI
Abstract:	The major aim of Recommender System is to provide appropriate items for user, based on his preferences and intuitively be assessed with accuracy based metrics like precision and recall. Though, diversity of recommended lists is a new emerging debate in RS evaluation. This work tries to improve diversity of community recommendation, using membership as main and tag collection as complementary resource. With exploiting Tensor Decomposition and using Latent Semantic Analysis, communities can be represented in latent topics, based on different modes including member-users and tag-collections. As the main contribution, this work applies diversification on recommended list in different modes, based on intuitive idea that, communities can be differ from different points of view such as membership, or tag collections. Experimental results accomplished on a Flicker dataset show the meaningful improvement in aggregate diversity (for the system) with less accuracy-loss comparing to current methods; moreover it also shows improvements in intra-list diversity (for single user) which is neglected in previous works. As a result, clustering the communities with similar users, or tags, gives the opportunity to diversify the recommended lists to cover more diverse communities with different member users, or different tag content, and this multi-mode diversity lead to better list for user and better coverage for system.
Keywords:	Recommender System, Community Recommendation, Diversity, Coverage, Tensor Decomposition, Co-clustering
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2015 -- Vol. 82. No. 2 -- 2015
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Title:	OPTIMIZING SENSITIVITY AND SPECIFICITY OF ENSEMBLE CLASSIFIERS FOR DIABETIC PATIENTS
Author:	MOKHAIRI MAKHTAR , MOHD KHALID AWANG, M NORDIN A RAHMAN, SYED ABDULLAH FADZLI, MUMTAZIMAH MOHAMAD
Abstract:	Predicting the right class for a certain disease in the medical-related field is very critical. The effects of misclassification of the class could be very risky because it may lead to the mistreatment of the patient. The most important classification performance measurements in medical fields are sensitivity, specificity and accuracy. This research aims to focus on the relationship between these three measurements. Misjudgements in classifying a person to a particular disease will prevent him/her from getting the correct treatment. Thus, the accuracy in classifying such medical data should be at the highest. Nevertheless, the most significant measurement is to have the highest sensitivity, because this will show that the classifier correctly classifies the patient who had a positive symptom of a particular disease. By using a single classifier, it is impossible to get the highest sensitivity. Thus, this paper proposed an ensemble method that aimed to increase the sensitivity as well as to improve the accuracy of the classification. The proposed method optimises the three performance measures by giving weights that composed of the proposed objective function. The results showed that the ensemble method is significant to achieve the highest accuracy of 76% with 84% sensitivity and 63% specificity for diabetic dataset from UCI medical data repositories.
Keywords:	Ensemble Classifiers, Classification Model, Medical Dataset
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2015 -- Vol. 82. No. 2 -- 2015
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Title:	SIMULATION OF MEDICAL DATA COMPRESSION AND TRANSMISSION THROUGH WLANS
Author:	MUSTAFA ALMAHDI ALGAET, ZUL AZRI BIN MUHAMAD NOH, ABD SAMAD BIN HASAN BASARI, ABDUL SAMAD SHIBGHATULLAH, ALI AHMAD MILAD, AOUACHE MUSTAPHA
Abstract:	Therefore, the main objective of this study is to develop a new simulation application for medical data compression and transmission based Wi-Fi IEEE 802.11 with high robust in term of image quality endurance to noise caused by transmission signal. The development of two main modules, namely, Wi-Fi transmission and medical data compression modules is required to achieve this objective. The focus of the study is to find a new method of medical data compression that has good ability to transmit the medical data even though any noise occurs during data transmission. The Wi-Fi transmission module was developed based on IEEE 802.11b protocol in 1 Mbsp data size transmission. The medical data compression modules were developed based on shared dictionary data between sender and receiver part. The shared dictionary was computed by Independent component analysis (ICA) using each type of medical data. In this study, tree type of data was used to generate shared dictionary: natural image, ultrasound image and fundus image. The performance evaluation includes two parts for the measurement of the error during simulation. First, the performance results related to the transmitted and received data similarity that represented by an error bit. The second performance results are regarded as the similarity between original image before and after transmitted that computed using a peak signal noise ratio (PSNR). The developed compression shows promising results with a capability of restoring image with PSNR 30 dB using medical image. In conclusion, this research has achieved its stated goal of developing a simulation application for medical data compression and transmission based Wi-Fi IEEE 802.11b.
Keywords:	DCT, SPIHT, PCS, ICA, MEDATA-SIM, Medical Image Compression
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2015 -- Vol. 82. No. 2 -- 2015
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Title:	A NOVEL FUZZY BASED BACKGROUND SUBTRACTION FOR DYNAMIC SCENES
Author:	V. KAMATCHI SUNDARI, M. MANIKANDAN
Abstract:	Detection of moving objects in video streams is the initial relevant step of knowledge in several computer vision applications. Background Subtraction is widely used as the basis for moving object extraction and tracking in video sequences. For this, most of previous strategies rely on the idea that the background is static over short period of time. On the other hand, video sequences with dynamic background such as waving leaves, rippling water are not easy to process and it leads to poor extraction of foreground objects. In this paper, a completely unique thin Background Subtraction algorithmic program for scenes with dynamic background is planned to solve this drawback, which uses fuzzy color histogram in which Fuzzy C Means Clustering (FCM) module is based on correlation method and this can also be applied to medical image applications. Experimental results give substantiating proof that the proposed technique is effective for Background Subtraction to track the moving object in Dynamic texture scenes.
Keywords:	Background Subtraction (BS), Clustering-based feature, Fuzzy C Means Clustering (FCM), Fuzzy Color Histogram (FCH), Image Segmentation, Pixel Classification.
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2015 -- Vol. 82. No. 2 -- 2015
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Title:	ANALYSIS OF CLOUD SERVICES INTEGRATION WITH ENTERPRISE INFORMATION SYSTEMS
Author:	TEYKHRIB ANTON PAVLOVICH, TEYKHRIB GENRIKH IVANOVICH
Abstract:	This paper reviews problem and different solutions designed for integration of cloud services with enterprise information systems. Paper gives special attention to cloud communication service and describes different types of enterprise information systems. As result, this paper determines mashups as a best solution for such kind of integration.
Keywords:	Cloud Integration, Enterprise Integration Solutions, Integration Problems, Cloud And Enterprise Integration
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2015 -- Vol. 82. No. 2 -- 2015
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Title:	ORGANIZATIONAL CULTURE AND ITS IMPACT ON THE QUALITY OF ACCOUNTING INFORMATION SYSTEMS
Author:	NELSI WISNA
Abstract:	This paper examines the impact of organizational culture on the quality of accounting information systems. The conceptual model using a sample of employees of the accounting department at several colleges in Bandung. Overall, the results support the hypothesis that organizational culture affects the quality of accounting information systems. The results showed that the role of organizational culture in improving the quality of accounting information system is an important factor.
Keywords:	Culture, Organizational Culture, Information System, Accounting Information System
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2015 -- Vol. 82. No. 2 -- 2015
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Title:	LAN-BASED APPLICATION OF FILE MANAGEMENT IN THE COMPUTER LABORATORY OF SCHOOL OF APPLIED SCIENCE
Author:	TEDI GUNAWAN, REZA BUDIAWAN
Abstract:	Computer laboratory is important infrastructure in supporting the process of teaching and learning activities at the School of Applied Science of Telkom University. Lecturers use computer laboratory as an infrastructure in achieving competence for programming courses that requires practicum by using computer. The obstacle found in the practicum is an interruption in the internet network. Lecturers cannot upload the files of learning materials and the results of students’ competence test. Based on these reasons, an application is built that can distribute files without the internet network. The application is built by using the Visual Basic programming language. This research uses the prototype model of software development. This model is suitable for use as developer and user can interact during the process of system development, so that the process of application development is faster and according to the user’s needs. The features of this application include the files distribution from the server computer to the client computer, the files retrieval from the client computer to the server computer, and the inclusion of notifications of files distribution and retrieval activities. The results showed that this application can facilitate the practicum activities, which supports the competencies achievement of programming courses in the computer laboratory of School of Applied Science of Telkom University.
Keywords:	Applications, LAN, File Distribution, Server, Client
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2015 -- Vol. 82. No. 2 -- 2015
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Title:	ROUTING ANALYSIS ON PRESENCE OF FLASH FLOODS IN THE CITY OF BARRANQUILLA
Author:	WIGHTMAN PEDRO, DE LA HOZ ALEXIS, MENDOZA FABIO
Abstract:	This paper describes the behavior of different routing algorithms under simulated flash floods conditions in the city of Barranquilla. It was motivated by the human and economic losses in industry produced by the flash flood phenomena during heavy rain in the city, a situation that goes back to the early years of urban planning, but unfortunately so far, it hasn’t been resolved due high economic costs. This research is related to the design of an autonomous alert system based on precipitation levels using mobile applications and fixed signaling through the streets that has been under development for several years between the Universidad de la Costa and the Sena Barranquilla that could reduce threats for civil population and reduce the statistics of people killed or injured by the strong flows of water that goes through the city when rain appears.
Keywords:	Routing, Dijsktra, Flash Floods, PGRouting, Qgis, Barranquilla
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2015 -- Vol. 82. No. 2 -- 2015
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Title:	FEATURE SELECTION, LEARNING METRICS AND DIMENSION REDUCTION IN TRAINING AND CLASSIFICATION PROCESSES IN INTRUSION DETECTION SYSTEMS
Author:	FABIO MENDOZA PALECHOR, ALEXIS DE LA HOZ MANOTAS, EMIRO DE LA HOZ FRANCO, PAOLA ARIZA COLPAS
Abstract:	This research presents an IDS prototype in Matlab that assess network traffic connections contained in the NSL-KDD dataset, comparing feature selection techniques available in FEAST toolbox, refining prior results applying dimension reduction technique ISOMAP. The classification process used a supervised learning technique called Support Vector Machines (SVM). The comparative analysis related to detection rates by attack category are conclusive that MRMR+PCA+SVM (selection, reduction and classification techniques) combined obtained more promising results, just using 5 of 41 available features in the dataset. The results obtained were: 85.42% normal traffic, 80.77% DoS, 90.41% Probe, 91.78% U2R and 83.25% R2L.
Keywords:	System Intrusion Detection (IDS), Feature Selection Toolbox (FEAST), Isometric Feature Mapping ISOMAP, Support Vector Machine (SVM), Principal Component Analysis (PCA).
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2015 -- Vol. 82. No. 2 -- 2015
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Title:	SECURE NEIGHBOR VERIFICATION PROTOCOL IN WIRELESS MESH NETWORKS
Author:	P SUBHASH, S RAMACHANDRAM
Abstract:	The main motivation of an attacker is to convince two far away nodes as neighbor nodes using wormhole attack easily without the knowledge of cryptographic primitives. Thus, it can signiﬁcantly degrade the performance of Wireless Mesh Networks (WMNs). Secure neighbor discovery is a fundamental requirement of network nodes to ensure secure data communication. An adversary that bypass neighbor discovery process of a legitimate node using wormhole attack can disrupt the overlying protocols and applications. In this paper, we propose a secure neighbor veriﬁcation mechanism to thwart wormhole attack that can prevent bogus links from being involved in the network operations. It employs node ranking scheme to compute relative distance between neighbors and uses connectivity information to check the genuinity of neighborhood creation. We evaluate our mechanism using simulation to demonstrate the efficiency in the presence of wormholes.
Keywords:	Secure Neighbor Verification;Wormhole Attack;Bogus Links;Relay Attacks;Wireless Mesh Network;Ranking Mechanism;Connectivity Information.
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2015 -- Vol. 82. No. 2 -- 2015
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Title:	ANALYSIS OF CANONICAL CHARACTER SEGMENTATION TECHNIQUE FOR ANCIENT TELUGU TEXT DOCUMENTS
Author:	N. VENKATA RAO, Dr. A.S.C.S.SASTRY, A.S.N.CHAKRAVARTHY, A.V.SRINIVASA RAO
Abstract:	Character Recognition in ancient document images remains a challenging task. Initial scanning process deforms the document image, while aging process of document render it ancient which turns it to posses unwanted background noise. Segmentation includes an essential process in OCR. Complex scripts like derivatives of Brahmi, encounter various problems in the segmentation process. A hybrid model that entails segmentation in noisy images followed by binarization is proposed. In the first phase, segmentation technique for the ancient Telugu document image into meaningful units is proposed. Horizontal profile pattern is convolved with Gaussian kernel. The statistical properties of meaningful units are explored through an extensive analysis of the geometrical patterns of meaningful units. In the second phase, noisy documents are cleaned with the help of Modified IGT algorithm and then segmented by using conventional profile mechanism. The performance of the present hybrid technique is proved by the results of higher efficiencies for the cleaned documents. The efficiency analysis of segmentation carried out for the present hybrid technique reveals a threshold number of Vowels (V), Consonants(C), CV core characters to exhibit higher efficiencies. It also reflects upon the non-canonical features of any other marks of the Telugu document.
Keywords:	Segmentation, Profile, Gaussian derivative kernel, Modified IGT, Error Rate
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2015 -- Vol. 82. No. 2 -- 2015
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Title:	SENSORS AND SENSOR NETWORK APPLICATIONS
Author:	MOHAMMAD M. ALWAKEEL
Abstract:	This decade has been characterized by a tremendous interest in sensors and sensor networks. The renewed interest was the outcome of the advances that wireless cellular networks have scored such as massive MIMO cooperative communications, the Internet of Things (IoT) where it is predicted that billions of devices would be connected to the internet to communicate in some fashion, and Micro-Electro-Mechanical Systems (MEMS) technology which has facilitated the development of smart sensors. All these and more suggest that sensors will be at the front and center of most technologies in the future. This paper presents a review on sensors, their applications as well as their manufacturers whenever relevant. The work presented can be used to inform any further developments in the area of sensors as research gears up to meet the challenges of the emerging technologies.
Keywords:	Sensors, Sensor Applications, Conversion Techniques, Sensor's Integration
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2015 -- Vol. 82. No. 2 -- 2015
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Title:	SENTIMENT ANALYSIS BASED ON APPRAISAL THEORY FOR MARKETING INTELLIGENCE IN INDONESIA’S MOBILE PHONE MARKET
Author:	ANDRY ALAMSYAH, WIDITA RAHMAH, HERRY IRAWAN
Abstract:	The growth of internet has prompt online marketing intelligence activities. Twitter becomes most popular social media in Indonesia and provides millions of text data. People share their opinion and emotions by their tweets. This phenomenon gives an opportunity to conduct a research for sentiment analysis. In this research we use appraisal theory that can analyze the emotions on the tweets according to basic descriptions on appraisal theory that include attitude, graduation and engagement towards products. We apply this theory in sentiment analysis using Bahasa Indonesia to determine and compare positive and negative sentiment of popular smartphone products in Indonesia, which is Lumia and Xperia. We perform calculation based on target and appraisal related, in the sentences level and the tweets level. The results of this research can be used as knowledge and consideration for business especially marketing intelligence field. Based on the calculations, Lumia have more positive results than Xperia.
Keywords:	Sentiment Analysis, Appraisal theory, Marketing Intelligence, Twitter, Lumia and Xperia
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2015 -- Vol. 82. No. 2 -- 2015
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