		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
March 2017 | Vol. 95 No.6

Title:	FINGER PHOTOPLETHYSMOGRAPH AS A MONITORING DEVICE FOR LIPID PROFILE IN MEN WITH CARDIOVASCULAR RISK
Author:	RAIFANA ROSA MOHD SATTAR, KALAIVANI CHELLAPPAN, NORSUHANA OMAR, NORANITA MEGAT M N, AMILIA A
Abstract:	Photoplethysmogram is a non-invasive optical technique that is widely used to measure the variation of blood volume by using infra-red light. It is a potential technique for early screening of atherosclerosis and lipid profiling. An intervention program of 12 weeks was done in monitoring the changes in lipid profile in the blood vessel and the morphological changes in the PPG signal. A total of 35 young men aged 20 to 40 years old were selected and the subjects were leading a sedentary lifestyle with less than 5000 steps of walking per day and having two or more CV risk factors. The subjects recruited were divided into two groups that were Group P (n=19) and Group C (n=16). Parameters that were recorded along the intervention were vascular age and fitness index (PPGF) from PPG, lipid profiling, pulse wave velocity (PWV), body mass index (BMI), waist circumference (WC), systolic blood pressure (SBP) and diastolic blood pressure (DBP). A first derivative of PPG was done in determining the crest time (CT). The data were recorded at three different stages, baseline, 6th week and 12th week. The morphological analysis clearly differentiates the subjects with different combination of lipid profiles. Results show that there is a significant improvement on PPGF and CT at the first 6 weeks whereas on the lipid profiling of TG, HDL and LDL shows consistent improvement throughout the 12 weeks intervention. The intervention for health maintenance has potential in adopting walking as an exercise and PPG device as a health measurement tools. The identified morphological classification will need further analysis and automated classification to establish a non-invasive low cost optical based screening method for lipid profiling in future.
Keywords:	Photoplethysmogram, pedometer-based walking, Lipid Profile, Cardiovascular Risk, Young Men
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2017 -- Vol. 95. No. 6 -- 2017
Full Text

Title:	A HYBRID MITIGATION TECHNIQUE FOR CACHE ASSISTED SIDE CHANNEL ATTACK IN CLOUD COMPUTING
Author:	ADI MAHESWARA REDDY G, K VENKATA RAO, JVR MURTHY
Abstract:	Cloud computing has attained extensive approval for administrations in addition to individuals by presentation computation, storage and software aided amenities. Since, the Cloud services become further prevalent, approaches in the current past has revealed liabilities exclusive to such systems. Different from mainstream computing, the framework assisting Cloud permits communally suspecting individuals to instantaneously access an essential cache consequently encouraging a threat of data leakage through virtual machines through side channels. Therefore, numerous mitigation techniques has been developed by scholars for various side channel attacks. In this paper, author chiefly focuses on cache aided side channel attacks and a novel hybrid mitigation approach is suggested that amalgamated both the sequential mitigation approach and parallel mitigation approach. This technique is mainly employed when the cache is accessed through single core and through multiple core. The experimental results for the proposed approach is carried out using SPEC 2006 specifications and has been shown that the efficiency and usefulness of the cache memory is more in the proposed approach compared to the existing sequential and parallel schemes.
Keywords:	Cloud Computing, Cache Aided Side Channel Attack, Virtual Machines, Cache Wait, Cache Partitioning
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2017 -- Vol. 95. No. 6 -- 2017
Full Text

Title:	EMPLOYING SEMANTIC KNOWLEDGE ON EVENT TRIGGER CLUSTERING
Author:	ADE ROMADHONY, DWI H WIDYANTORO, AYU PURWARIANTI
Abstract:	Formerly, most of information extraction systems require the predefined template in order to extract the structured information. Extracting information without predefined template leads to the needs of extracting the template. We propose an approach on event template extraction by clustering the event trigger using semantic similarity information from WordNet synset gloss. We demonstrate in the experiment that the semantic information from WordNet synset gloss improves the event trigger clusters quality. The evaluation result shows that the clusters from WordNet synset gloss achieve the top performance on 8 out of 16 event types, outperform the other approaches. The other approaches that we compared on evaluation including: using co-occurrence information only, using relation similarity from UMBC system, and the combination of co-occurrence and relation similarity.
Keywords:	WordNet, Semantic Knowledge, Synset Gloss, Event Trigger, Clustering
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2017 -- Vol. 95. No. 6 -- 2017
Full Text

Title:	ANALYSING THE SCORE MATCHING OF DNA SEQUENCING USING AN EXPERT SYSTEM OF NEURO-FUZZY
Author:	SAFA A. HAMEED, RAED I. HAMED
Abstract:	The proposed approach in obtaining the matching score of the DNA sequence alignment is presented, the Neuro-Fuzzy technique is the method which are implemented in this paper, it's utilized the set of biological data of the DNA sequence performing with Global and Local algorithms in order to optimize the optimal alignment, we use the pairwise DNA sequence alignment to measure the score of the similarity, which depends on the scoring matrix to guarantee the confidence measure score of the pairwise sequence alignment, the ANFIS model is suitable for predicting the matching score through the training and testing in Neural network and the inference fuzzy system in fuzzy logic, that achieves the result in high performance implementation.
Keywords:	Sequence Alignment; Dynamic Programming; Matching Mechanism; Neuro-Fuzzy
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2017 -- Vol. 95. No. 6 -- 2017
Full Text

Title:	DEVELOPMENT OF A SUPPORT SYSTEM FOR MANAGING THE CYBER PROTECTION OF AN INFORMATION OBJECT
Author:	LAKHNO V.A., KRAVCHUK P. U, MEKHED D.B., MOHYLNYI H.A, DONCHENKO V.U
Abstract:	The architecture of the information object security management system and the intelligent decision support subsystem regarding cyber security operational management is offered particularly in conditions of uncertainty, inconsistency and lack of knowledge about the object security status. The information object cyber security operational management system and the formation of the protection methods rational sets model which is based on a morphological approach is developed. This model allows us to generate different variants of protection sets that are compliant with a computer system taking into account morphological matrices for each security perimeter prepared with the intelligent decision support system (IDSS). It will find an optimal variant of the information security perimeter sets using an object function that maximizes the correlation of a consolidated figure of "information security" to consolidated figure "costs". A program set for IDSS in circuits of organizational-technical and operational management of the information object security system is developed. It is proven that using the developed IDSS allows us to reduce the cost of developing an information security system and to shorten the time for informing some responsible individual about information security incidents.
Keywords:	Information Safety; Information Security Management; Decision Support System; Morphological Approach
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2017 -- Vol. 95. No. 6 -- 2017
Full Text

Title:	DETERMINANTS OF ADOPTION OF CLOUD COMPUTING SERVICES BY SMALL, MEDIUM AND LARGE COMPANIES
Author:	PEDRO R. PALOS SÁNCHEZ, FRANCISCO J. ARENAS MÁRQUEZ, MARIANO AGUAYO CAMACHO
Abstract:	Manufacturing sector organizations have seen an improvement in their competitiveness due to the digital economy. However, there must be a steady migration from an organization with a restricted use of Information Technology, to one in which Information Technology is commonly used for all of the different activities of the company. Based on this migration, organizations of all types can generate increases in productivity and competitiveness. This in turn contributes to advances in progress and welfare by creating more opportunities. This study proposes to advance knowledge about the implementation of cloud technology so that an organization can become more competitive. The current technology available for improving competitiveness in all areas of a company by exploiting data, providing services and for the use of resources, is cloud computing. This novel technology will be investigated and the findings will be used to describe the state of this technology in our country at the moment. It will also show how the complexity of these systems and the attitudes of the organizations and people involved, depending on the size of the organization and its management style, influence the adoption of cloud computing systems.
Keywords:	Cloud Computing, Adoption, Technological Complexity, Attitude Towards The System.
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2017 -- Vol. 95. No. 6 -- 2017
Full Text

Title:	THE ArcVIEW AND GeoDa APPLICATION IN OPTIMIZATION OF SPATIAL REGRESSION ESTIMATE
Author:	SCOLASTIKA MARIANI, WARDONO, MASRUKAN , FATKHUROKHMAN FAUZI
Abstract:	ArcView is a geographic information system software product produced by and GeoDa is a software tool developed to implement techniques for exploratory spatial data to the analysis (ESDA) on a lattice of data (points and polygons). There were spatial diversity between the regions on the human development index (HDI) variable. This research would look for the best spatial regression model for the HDI in Central Java, Indonesia. Testing spatial effects were done by looking at the value Moran`s I, there were five variables with positive autocorrelation, and a negative autocorrelation variable is unemployment. The next test with the test Lagrange Multiplier (LM), only Lagrange Multiplier (error) which is included in the admission criteria, then the regression model used is the Spatial Error Model (SEM). In this study used two kinds of weighting matrix, i.e. rock contiguity and queen contiguity. The next step research was comparing the value of R-Square and the value of Akaike Info Criterion (AIC) and then obtained best regression model i.e.Spatial Error Model (SEM) with weighting rock contiguity with the value of R-Square is 99.8119 % and the smallest Akaike Info Criterion (AIC) was 4.6362. The spatial regression equation was : HDI=4.5565+0.4176 LE+0.8445 HPS+1.4262 ALS+0.0011 PCS with HDI : human development index, LE : life expectancy, HPS : hope and period school, ALS : average length of school, PCS : per capita spending..
Keywords:	Arcview, Geoda, Optimization, Spatial Regression Estimate
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2017 -- Vol. 95. No. 6 -- 2017
Full Text

Title:	CONTEXTUAL VARIABILITY MANAGEMENT OF IOT APPLICATION WITH XML-BASED FEATURE MODELLING
Author:	ASAD ABBAS, ISMA FARAH SIDDIQUI, SCOTT UK-JIN LEE
Abstract:	Internet of Things (IoT) can be used anywhere, anytime and with any device. IoT devices are used broadly in recent industry such as health care, transport, education and communication channels. IoT applications make enable the use of IoT systems in different environment such as heat sensor functionality varies for indoor and outdoor, water sensors in automobile for screen viper movement (auto working during rain and stop if there is no raining), heartbeat sensors for old and young patients. Moreover, IoT devices are same but the operating functionality is different according to environment and end users perspective. Therefore, this kind of variability management is very important for reusability of resources in multiple environments. However, variability management is difficult task due to the dependency of resources, relationships between them and compatibility issues. Feature Modeling of Software Product Line (SPL) is extensively used to manage the variability management for family of software that share common resources and varies in different points. In this paper we have proposed simple and effective approach for variability management of IoT-based applications by using feature modeling. We have proposed XML-based feature modeling for IoT-based applications for variability management and increase the reusability of existing resources. Our approach defines the complete package from domain modeling to application development by using XML-schema and XSLT files to select and deselect the features for final application development. Our final architecture of IoT-based feature model shows the complete relationships and include exclude associations between them without any constraint violations.
Keywords:	Internet of Things (IoT), IoT-based applications, Software Product Line, Feature Modeling, XML-based modeling
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2017 -- Vol. 95. No. 6 -- 2017
Full Text

Title:	SEGMENTATION OF LUNG MALIGNANT CANCER TISSUES USING PCA AND ACART METHOD IN MR IMAGES FOR HUGE DATA SET
Author:	P. THAMILSELVAN, DR. J. G. R. SATHIASEELAN
Abstract:	Image mining is one of the main research areas in the field of computer science. In this procedure, lung malignancy is a standout amongst the most destructive infection in the human body. It is the second most risky sickness in the world. In this work, we assessed the execution of Advanced Classification & Regression Tree (ACART) strategy to distinguish lung diseases that were ignored or confused with a lung MRI images for human at expanding hazard. The ACART order technique is one of the humblest technique in theoretically and it is a top strategy in image mining. Identification and classification systems are about expanding enthusiasm to medical experts who wish to recognize effortlessly. Advanced Classification & Regression Tree (ACART) examination is a nonparametric decision tree system that can productively segment populaces into significant subgroups. In this work, the upgraded ACART method has been executed to distinguish the tumor and programmed order of benevolent and dangerous tissues in the colossal measure of picture datasets. In this proposed framework, we have utilized two phases, in first preprocessing stage, the Principal Component Analysis (PCA) method has been utilized to enhance the nature of the image. In the second stage, we improved ACART classifier has been utilized for distinguishing the benign and malignant tissues. The image classification process of ACART method is tested in huge amount of MRI image datasets. The technique for lung growth forecast is only the separation of separation of various disease zone from Magnetic Resonance (MR) pictures. This research gives a methodological process of ACRT investigation for people new to the technique. The results of ACART findings are validated with those methods obtained from best classification accuracy.
Keywords:	Image Mining, Image Classification, Pre-Processing, Classification Rate, MR Images, PCA, ACART And Segmentation
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2017 -- Vol. 95. No. 6 -- 2017
Full Text

Title:	THE BACKSTEPPING METHOD FOR STABILIZING TIME FRACTIONAL ORDER PARTIAL DIFFERENTIAL EQUATION
Author:	IBTISAM KAMIL HANAN, MUHAMMAD ZAINI AHMAD, FADHEL SUBHI FADHEL
Abstract:	In this article the nonlinear time fractional order partial differential equation (NTFPDE) subject to a boundary controller at the boundary is considered. The semi-discretized backstepping control technique is used for stabilize the partial differential equation with fractional order To the author best knowledge, this is the first time in the literature that the backstepping method is being used for stabilizing NTFPDE. Illustrative example is given to demonstrate the effectiveness of the proposed control scheme. Simulation results show that the proposed design not only can stabilize the NTFPDE but performs better than an integer order as well.
Keywords:	Backstepping Method, Fractional Lyapunov Function, Fractional Derivative, Boundary Control, Fractional Eulers Method.
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2017 -- Vol. 95. No. 6 -- 2017
Full Text

Title:	SABE: EFFICIENT AND SCALABLE FILTERED ACCESS CONTROL IN DISTRIBUTED CLOUD DATA STORAGE
Author:	NARESH VURUKONDA, B.THIRUMALA RAO
Abstract:	Distributed cloud data storage is an advanced and empirical concept in present days for out sourcing of data in cloud. Distributed file storage requires users trustable on their required data to service provider of the cloud. Because of increasing security and protection concerns in out sourced data in clouds, traditionally several approaches like Attribute Based Encryption (ABE) have been proposed for gained access control in out sourced data in distributed cloud environment. This schema follows symmetric key approaches to provide security in cloud computing. Symmetric key approach is not suitable for support authorization effectively because, it uses single key for encryption and decryption. Presently authors focus on centralized approaches for proving security using single key distribution center, shares attributes to all the users. 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. Our proposed approach 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. Our experimental results show effective data share in distributed environment with feasible data retrieval with access control for outsourced data in cloud computing with reliable experimental evaluation.
Keywords:	Cloud Computing, Attribute Based Encryption Flexible, Access Control, and Pyramid Structure
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2017 -- Vol. 95. No. 6 -- 2017
Full Text

Title:	GREEN INFORMATION SYSTEMS DESIGN FRAMEWORK: A SYSTEMATIC LITERATURE REVIEW
Author:	SHIREEN MUHAMMAD, YUSMADI YAH JUSOH, JAMILAH DIN, ROZI NOR HAIZAN NOR
Abstract:	The research on information systems (IS) and environmental sustainability has grown under the notion of green IS. Hence, it is important to comprehend the concept of green IS and to ascertain existing frameworks for designing it. This paper presents the definition and taxonomy of green IS, areas of green IS research currently being addressed by IS academics and research directions for future studies on green IS design framework. This paper follows systematic literature review (SLR) procedures with snowballing approach as the main method. Relevant articles were mainly selected by referring to the Association of Information Systems (AIS) and thus, are relevant to the IS academic community. This paper synthesized the six elements for green IS design framework namely context, goals, roles, design principles, functions and features. This provides a foundation for the future green IS design framework. The evidence indicates that there is absence of metrics in measuring green IS design, which is valuable in assessing such systems.
Keywords:	Design, Framework, Green IS, Snowballing, Systematic Literature Review
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2017 -- Vol. 95. No. 6 -- 2017
Full Text

Title:	MEASURING THE EFFECT OF SURVEY QUESTION TYPES IN KOREA ON THE RESPONDENTS' EMOTIONAL REACTION ON IT PRODUCTS
Author:	SANGMIN LEE, JOO HYUN PARK, HAN YOUNG RYOO
Abstract:	The traditional IT product design focused on the most optimized physical functions and economic feasibility. However, the trends are changing to adopt an emotional design into research and development by measuring and analyzing the human beings emotion. Many emotion design studies on IT products measure users emotion through the survey questionnaire with emotion words. Therefore, structuring and organizing survey question items are critical. The objective of this study is to find an effect of different survey question types on emotion evaluation of the websites, which can be referred to as an example of IT products. In order to achieve the objective, this study measured the emotion level of the website users by applying different question items with different sentence lengths and expression types for the same website. This study found that different question type has no significant effect on human emotion evaluation. The findings from this study are a lot different from the research reported in the literature outside the Korea. This implies that additional research might be necessary by considering the cross-cultural factors into question types when developing the survey questionnaire for Korean.
Keywords:	IT Product, Question Type, Users Emotion, Korean Survey, Measuring Emotion
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2017 -- Vol. 95. No. 6 -- 2017
Full Text

Title:	ANALYTICAL MODEL OF THE THRESHOLD VOLTAGE VTH, SUBTHRESHOLD SWING AND DRAIN INDUCED BARRIER LOWERING (DIBL) FOR A NEW DEVICE STRUCTURE OF CYLINDRICAL GATE MOSFET
Author:	HIND JAAFAR, ABDELLAH AOUAJ, AHMED BOUZIANE
Abstract:	In this work, 2D analytical and numerical modeling of surface potential, threshold voltage Vth and drain induced barrier lowering (DIBL) for a new structure of surrounding gate MOSFET are presented. This new structure obtained by combined dual material gate graded channel and dual oxide thickness shows good immunity in the nanoscale regime versus short channel effects (SCE). The characteristic of the new model are investigated in terms of surface potential, threshold voltage and DIBL. The results of simulation show that the use of two oxide thickness with the small thickness at the source side could significantly reduce short channel effects such as threshold voltage, and DIBL. It is also revealed that a lowering gate oxide thickness, a small silicon channel radius are needed to improve device characteristic. Analytical models for all parameters are validated using a rigorous numerical calculation and compared to others devices engineering.
Keywords:	Dual Metal Gate (DMG), Dual Oxide Thickness (DOT), Graded Channel (GC), Drain Induced Barrier Lowering (DIBL)
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2017 -- Vol. 95. No. 6 -- 2017
Full Text

Title:	FORENSIC ANALYSIS AND PREVENT OF CROSS SITE SCRIPTING IN SINGLE VICTIM ATTACK USING OPEN WEB APPLICATION SECURITY PROJECT (OWASP) FRAMEWORK
Author:	ADE KURNIAWAN, IMAM RIADI, AHMAD LUTHFI
Abstract:	Internet has changed the world, today almost everyone connected to the Internet indicated the percentage of penetration of internet users in the world is increasing which caused the change in targeted cyberattacks to individual targets. Reported eight of the top ten websites in the world are at a critical point of vulnerability from attacks by injection methods such as Cross Site Scripting and SQL Injection that can be used by certain parties to steal information or for a particular purpose. In this paper the research conducted by three key stages: first Attacking (Single Victim Attack: Information Gathering, Live Webcams Screenshot, Keyloggers and Download Spoofer), second stage Analysis (Digital Forensic: Live Forensic and Analysis Evidence) and third stage to Prevent (Patching). Contribution of this study offers a method of protection solutions to users in the browser application to be filtered, disable the plugin, notifying, blocking, and reducing Cross Site Scripting attacks.
Keywords:	Live Forensic, Cross Site Scripting, OWASP, Xenotix
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2017 -- Vol. 95. No. 6 -- 2017
Full Text

Title:	A NOVEL METHOD FOR EVALUATION OF NOSQL DATABASES: A CASE STUDY OF CASSANDRA AND REDIS
Author:	HADI HASHEMI SHAHRAKI, TAGHI JAVDANI GANDOMANI, MINA ZIAEI NAFCHI
Abstract:	In today's complex world, due to the increasing use of web-based programs, smart phones and social networks, production rate is increasing constantly as well as volume of data. Also, companies try to provide their services with more features in order to stay ahead of their competitors. That increases the production of information by the users too. In this case, it seems that moving from rational databases to non-relational databases in a necessity. With regard to the various of use cases and their requirements, also the primary features of NoSQL databases, choosing the most appropriate NoSQL database can be big concern of developers. The right selection of NoSQL databases will avoid to wasting time, money, and energy. On this paper, we propose a general and structured method to help developers, customers, and managers to evaluate NoSQL databases in the right way and facilitate the process of decision making to select one of them.
Keywords:	Non-Relational Databases, Nosql Databases, Evaluation, Performance, Scalability
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2017 -- Vol. 95. No. 6 -- 2017
Full Text

Title:	A USER FRIENDLY AND IMPROVED DESIGN FOR SECURE DELETION IN CLOUD STORAGE
Author:	BENTAJER AHMED, ENNAAMA FAOUZIA, HEDABOU MUSTAPHA, ELFEZAZI SAID
Abstract:	Assured file deletion is a major concern in cloud computing security. The countermeasures proposed by Cloud Service Providers (CSPs) are not totally satisfactory from the data owner's perspective. Because, CSP do not offer an irrefutable proof of an assured file deletion. Other proposed approaches for achieving assured deletion in cloud storage are based on the use of encryption operations. File Assured Deletion (FADE) is most efficient amongst them. The system is built upon cryptographic techniques to guarantee privacy and integrity of outsourced files. This paper illustrates a secure yet user friendly update for FADE. The proposed update, is easy to implement, require less computational resources and ensure assured file deletion. Furthermore, we implemented a prototype of our update to validate the model, and verify that it offers assured deletion with a minimal trade-off of performance for large files upload and download operations.
Keywords:	Cloud Computing, Secure Deletion, Confidentiality, Cloud Storage
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2017 -- Vol. 95. No. 6 -- 2017
Full Text

Title:	MRWDP: MULTIPOINT RELAYS BASED WATCH DOG MONITORING AND PREVENTION FOR BLACKHOLE ATTACK IN MOBILE ADHOC NETWORKs
Author:	OPINDER SINGH, Dr. JATINDER SINGH, Dr. RAVINDER SINGH
Abstract:	Mobile Adhoc Networks (MANETs) do not include any fundamental power and also infrastructure less networks, so unprotected against black hole attacks. It decreases the network performance by dropping the number of messages. Black hole node always attracts the concentration of source nodes by guarantee them that it has the minimum cost path towards destination nodes. Many techniques have been proposed so far, in order to reduce the impact of the black hole attack by detecting and preventing it. Among the existing techniques, Watchdog (WD) technique has shown better performance in preventing the black hole attack. It utilizes the local knowledge of the next hop node and eavesdrops it. If it gets that spending time of the message is more than the given threshold, then it characterize that node as black hole attacker. But this method has several shortcomings that it does not track the link transmission errors, which may be because of congestion in MANETs and also it not offers high mobility for maximum number of nodes, which eventually decreases the performance. In order to handle this issue, a new multipoint relays (MPRs) based WD monitoring and prevention technique is proposed in this paper. The multipoint relays based WD monitoring and prevention technique utilizes the dynamic threshold value to detect the black hole attacker node by utilizing Clustering, WD and MRPs based optimistic path for communicating the messages. Experimental results clearly indicates the effectiveness of the proposed technique over others. Thus, it reduces the overall message dropping, which improves the performance of the MANETs.
Keywords:	Black hole, MANETs, WD, Multipoint relays.
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2017 -- Vol. 95. No. 6 -- 2017
Full Text

Title:	ANALYSIS OF SOFT PLAQUE DETECTION METHODS IN CTA IMAGES
Author:	MUHAMMAD AHSAN, SAMMER ZAI, YOUNG SHIK MOON
Abstract:	Cardiovascular diseases are considered primary cause for increasing rate of mortality. Automatic stenosis detection in CTA data is highly demanded by clinicians to analyze the coronary related abnormalities timely. The detection of vulnerable plaques in CTA is challenging because these plaques may exhibit similar appearance to nearby blood and muscle tissues. Moreover, accuracy of stenosis detection heavily depends upon the accuracy of delineation process of coronary arteries. In this paper, we present a comparative study of four different soft plaque detection methods along with their specific strengths and limitations. We have created a table summarizing the comparison of four selected methods against such criteria as imaging modality, segmentation method, level of pre and post processing, user interaction, validation of results, usage of prior knowledge, and effectiveness of segmentation and stenosis detection. The study provides assistance in selecting an appropriate method for detecting vulnerable coronary plaques, suitable for a given segmentation of coronary arteries.
Keywords:	Coronary Artery Segmentation, Stenosis, Soft Plaque, Computed Tomography Angiography, Cardiovascular Disease
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2017 -- Vol. 95. No. 6 -- 2017
Full Text

Title:	THE SYSTEM OF INVESTMENT DECISION MAKING THROUGHANALYSIS OF STOCK PORTFOLIO PERFORMANCEBASED SINGLE INDEX MODEL (COMPARISON STUDY OF SHARIAH STOCKS AND CONVENTIONAL STOCKS)
Author:	MULYANTO NUGROHO, SRIE HARTUTIE MOEHADITOYO, KHOIRUL ANAM
Abstract:	This research aimed : (1) to assess the effectiveness of the Single Index Model as methods in the system of investment decisionsmaking through formation of stock portfolios analysis; (2) to compare the performance of a portfolio of JII sharia stocks and IDX30 conventional stocks; and (3) to determine the most optimal stock portfolio that suitable as an investment instruments. The method used to establish a stock portfolio is Single Index Model and Sharpe index, Treynor index and Jensen index to measure the performance of their portfolios. The population of this research is all the stocks listed in the JII indices and the IDX30 indices year 2013-2015. While the sample are stocks that recorded in the both indices consistently over the research period.Based on calculation of the excess return to beta (ERB) value and the cut-off point (C *) obtained the result that there are three (3) stocks of JII indices entered as member of portfolio i.e. stock of Unilever Indonesia (UNVR), AKR Corporindo (AKRA) and Indofood CBP Sukses Makmur (ICBP), and 3 (three) stocks of IDX30 indices, i.e. Unilever Indonesia (UNVR), Bank Rakyat Indonesia (BBRI) and Bank Central Asia (BBCA).The results of this research indicate that Single Index Model proved to be effective for screening and selecting stocks to form the optimal portfolio, so that the Single Index Model can be used as analysis tool in the System of Stock Investment Decision Making. The result show that the sharia stocks JII portfolio has a higher return rate and lower risk portfolio compare to conventional stock IDX30. While the views of the performance index, JII Islamic stock index has a value of Sharpe, Treynor index and Jensen index higher than conventional stock IDX30. It can be concluded that the portfolio of Islamic stocks JII has better performance than the conventional stock portfolio IDX30.
Keywords:	Single Index Model, Optimal Portfolio, Excess Return To Beta, Cut Off Point, Return Portfolio, Portfolio Risk, Sharpe Index, Treynor Index, The Index Jensen
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2017 -- Vol. 95. No. 6 -- 2017
Full Text

Title:	DEVELOPING DIAGNOSE TUBERCULOSIS DISEASES MODELS BY USING DATA MINING: CLASSIFICATION AND CLUSTERING ALGORITHMS
Author:	HOZIFA MOHAMED, TARIG MOHAMED AHMED
Abstract:	Nowadays, Tuberculosis is considered as one of the largest cause of death from infectious diseases worldwide. There is increasing evidence that the genetic diversity of Mycobacterium tuberculosis bacteria may have important clinical consequences. So, the combination of clinical genetic data, social and demographic is crucial to understand the epidemiology of these infectious diseases. To help the doctors to predict and diagnosis the tuberculosis disease, this research proposed two models by using Data Mining. The two models could be used as decision support tool in clinics to help in diagnosing Tuberculosis. To develop the models, a tuberculosis dataset was collected from medical field from Tropical area teaching hospital in Khartoum state Sudan, the size of this data set is 265 patient records. The first model was built by using classification algorithms. After conducting intensive experiments, three classification algorithms had been selected Naïve Bayes, CN2 and Classification Tree. The model was implemented using Orange application. The model had been validated and according to the result, the classification Tree was selected as best algorithm with accuracy 0.9358, Sensitivity0.9632 and Specificity 0.8933. The second model was built by using clustering algorithm called K-means. Also, this model was implemented by using Orange application. The result of the clustering model had been discussed and evaluated. The two models could be used to cross-check the diagnosis and predict the Tuberculosis diseases
Keywords:	Tuberculosis, Data Mining; Classification, Clustering.
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2017 -- Vol. 95. No. 6 -- 2017
Full Text

Title:	EMPLOYING THE THEORY OF DYNAMIC INFORMATION SYSTEMS WITH A VIEW TO PUTTING TOGETHER A PROPER CONCEPTUAL AND CATEGORICAL FRAMEWORK IN THE AREA OF IMPORT SUBSTITUTION
Author:	OKSANA VIKTOROVNA SHUMAKOVA, DMITRIY SERGEEVICH NARDIN
Abstract:	This study aims to analyze the category import substitution using specific tools from the theory of dynamic systems that provide for an optimal balance in terms of preserving content-related and conceptual specificity and mathematical rigor within the context of the cognition of complex objects. The authors analyze and classify existing approaches to defining the category import substitution by reference to the content-related, conceptual, and functional aspects that are reflected, in one way or another, in definitions employed. Using tools from the theory of dynamic information systems the authors put together a definition of the category import substitution of their own. To this end, the authors utilize a triadic method intended to reflect the category in question in three first-level derived categories which characterize it most completely. Each of the three first-level derived categories is decrypted using second-level categories, and then all the derived categories are used to define the base category import substitution. The subsequent raising of the decryption level helps take a more deliberate approach to defining the category import substitution. To this end, the authors also decrypt each of the second-level derived categories, which results in that the overall number of third level categories characterizing the base category comes to 27. Using all the derivatives the authors manage to fine-tune and expand the definition of the category import substitution and reflect in it certain aspects which previously used to be left out of consideration by scholars exploring import substitution.
Keywords:	Import Substitution, Category, Concept, Theory Of Dynamic Information Systems, Triadic Method For Decrypting Categories
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2017 -- Vol. 95. No. 6 -- 2017
Full Text

Title:	A SYMMETRIC CRYPTOSYSTEM BASED ON NONDETERMINISTIC FINITE AUTOMATA
Author:	GHASSAN KHALEEL, SHERZOD TURAEV, IMAD ALSHAIKHLI
Abstract:	This paper proposes a new symmetric cryptosystem based on nondeterministic finite automata. It is shown that nondeterminism allows to reduce the dependency of key automata on a large descriptional complexity and irreversibility of automata. Moreover, it is proven that the introduced cryptosystem has higher security and more efficient performance than its deterministic counterparts Dӧmӧsis cryptosystem and its modified version.
Keywords:	Cryptography, Stream Cipher, Nondeterministic Finite Automata, Dӧmӧsis Cryptosystem
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2017 -- Vol. 95. No. 6 -- 2017
Full Text

Title:	THE FIRST MODULAR DATABASE OF INDONESIAN GENES-ASSOCIATED DISEASES INFORMATION
Author:	RIKA YULIWULANDARI, NOVA EKA DIANA, KINASIH PRAYUNI
Abstract:	This paper aims to develop a modular schema database for gene-associated diseases incidence in Indonesia, which is called as Genomic Medicine Research Group Database (GMRGDB). A modular architecture is beneficial to facilitate any manipulation and addition of new genes-affiliated diseases in the future. Currently, GMRGDB contains two categories, N-acetyltransferase 2 (NAT2) and Human Leukocyte Antigen (HLA) databases. NAT2 database is a repository of NAT2 genes and anti-TB drugs association, while HLA database records diseases related to Human Leukocyte Antigen. GMRGDB consists of patients’ information from various ethnics in Indonesia, such as Javanese, Melayu, Betawi, Sundanese, and Batak. Users can view a number of samples for each database, detailed representation of Single Nucleotide Polymorphism (SNP), and also filter the data for specified ethnic through GMRGDB browser.
Keywords:	Genes-Associated Disease, Modular Database, N-Acetyltransferase 2, Human Leukocyte Antigen, Indonesian Ethnics
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2017 -- Vol. 95. No. 6 -- 2017
Full Text