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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 2014 | Vol. 70 No.2

Title:	AN EFFECTIVE TECHNIQUE FOR BRAIN TUMOUR SEGMENTATION AND DETECTION USING CUCKOO-BASED NEURO-FUZZY CLASSIFIER
Author:	RAMESH BABU VALLABHANENI , V. RAJESH
Abstract:	In this paper, we have proposed a robust technique to detect and classify the tumour part from medical brain images. In recent times, a number of image segmentation and detections techniques have been proposed in the literature. But, the detection of brain tumour through the help of classification technique has received significant interest among the research community. By considering the above issue, here, we combine three different techniques such as, cuckoo search, neural network and fuzzy classifier to detect the tumour part effectively. Our proposed approach consists of four phases, such as, pre-processing, region segmentation, feature extraction and classification. In the pre-processing phase, the anisotropic filter is used for reducing the noise and in the segmentation process; K-means clustering technique is applied. For the feature extraction, the parameters such as contrast, energy and gain are extracted. In classification, a modified technique called Cuckoo-Neuro Fuzzy (CNF) algorithm is developed and applied to detection of tumour region. In the modified algorithm, cuckoo search algorithm is employed for training the neural network and the fuzzy rules are generated according to the weights of the training sets. Then, classification is done based on the fuzzy rules generated. Experimental results shows that the proposed technique achieved the accuracy of 79.49% but existing technique achieved only 76.92%.
Keywords:	CNF, Contrast, Energy, Entropy, K-Means, Anisotropic Filter, Sensitivity, Specificity, Accuracy
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2014 -- Vol. 70. No. 2 -- 2014
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Title:	A REVIEW OF ANT COLONY OPTIMIZATION ROUTING PROTOCOLS FOR WIRELESS MULTIMEDIA SENSOR NETWORK
Author:	MOHAMMED ABAZEED, NORSHIELA FAISAL, ADEL ALI, SULEIMAN ZUBAIR
Abstract:	Multimedia applications have become an essential part of our daily lives, and their use is flourishing day by day. The area of wireless sensor network is not an exception where the multimedia sensors are attracting the attention of the researchers increasingly, and has shifted the focus from traditional scalar sensors to sensors equipped with multimedia devices. The multimedia sensors have the ability to capture video, image, audio as well as scalar sensor data and deliver the multimedia content through sensors network. Due to the resource constraints nature of WSN introducing multimedia will add more challenges, so the protocols designed for multimedia wireless sensor network should be aware of the resource constraints nature of WSN and multimedia transmission requirement. Ant colony optimization is a swarm intelligent algorithm that proved the efficiency to solve many complex optimization problems. Recently many routing protocols proposed based on ant colony optimization for WMSN to take advantages of ACO algorithm. In this paper we outline design challenges and requirements for designing routing protocols for WMSN, and then we review ACO routing protocols proposed for WMSN and discuss their feature and limitations. After that we will present a general comparison between them.
Keywords:	Ant Colony Optimization (ACO), Wireless Multimedia Sensor Network (WMSN), Resource Constraints, Routing Protocols, Quality of Services(QoS).
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2014 -- Vol. 70. No. 2 -- 2014
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Title:	ADAPTIVE BACKSTEPPING SLIDING MODE CONTROL OF SPACECRAFT ATTITUDE TRACKING
Author:	CHUTIPHON PUKDEBOON
Abstract:	This paper investigates the attitude tracking problem for rigid spacecraft. An adaptive backstepping sliding mode control law is proposed to solve this problem in the presence of inertia uncertainties and external disturbances. The control scheme is developed by combining sliding mode control with adaptive backstepping technique to achieve fast and accurate tracking responses. The proposed control law provides complete compensation of uncertainty and disturbances. Although it assumes that the uncertainty and disturbances are bounded, this control law does not require information about the bounds on the uncertainties and disturbances. The asymptotic convergence of attitude tracking is ensured by Lyapunov approach. Numerical simulations on attitude tracking control of spacecraft are provided to demonstrate the performance of the proposed controller.
Keywords:	Attitude Tracking Control, Sliding Mode Control, Backstepping Design, Adaptive Control
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2014 -- Vol. 70. No. 2 -- 2014
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Title:	CBIR BASED ON SINGULAR VALUE DECOMPOSITION FOR NON-OVERLAPPING BLOCKS
Author:	A.RAHMAN M.ALAMIN , SITI MARIYAM SHAMSUDDIN
Abstract:	Image retrieval techniques are useful in many image processing applications. Conventionally, the content based image retrieval systems work with whole images and searching is based on comparison of the query and database images. The retrieval of the images is commonly based on the color, shape, texture and others. However, the color only or texture only or shape only cannot enough to discriminate the image. Therefore, in this paper, we present a proposed scheme based on the color and texture information using the Singular Value Decomposition feature to achieve better results. The proposed scheme consists the process of converting an image to HSV color space and each color plane is partitioned into 4, 16, 64 non-overlapping blocks. Later, a one to one matching procedure is implemented to compare the query and target images by using the Euclidean distance for retrieving the similar images. Experimental results demonstrate that the proposed method has higher retrieval precision than other conventional methods color moments, Dominant color, Dominant color and GLCM texture methods. Also shows that SVD features represent the color and texture features of the image.
Keywords:	Singular Value Decomposition (SVD), Content Based Image Retrieval (CBIR),Non-Overlapping Blocks,Rank Matrix Approximation,HSV Color Space
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2014 -- Vol. 70. No. 2 -- 2014
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Title:	DESIGN AND DEVELOPMENT OF ZIGBEE BASED WIRELESS REMOTE CONTROLLING AND DATA ACQUISITION DEVICE THROUGH INTERNET
Author:	ABDUL SAMAD BIN SHIBGHATULLAH , SAKHR M. SULTAN1, HADEUR R.ABUDULSHEED , SUZI IRYANTI FADILAH , MOHD HELMY ABD WAHAB
Abstract:	IrDa and Bluetooth have been used widely in many wireless monitoring and controlling devices. Although, these devices have been replaced the traditional wired systems and contribute in solving the high cost of such systems, there are drawbacks been emerged. The major disadvantages are the range limitation of Bluetooth module and the line of sight problem of IrDa device. A ZigBee is low cost and low power consumption wireless technology. It has a higher connectivity range than Bluetooth and doesn’t have line of sight problem. In this paper, an application model using ZigBee wireless remote controlling and data acquisition device as well as the use of internet connection to enable the device to be used worldwide is presented. Such system has several benefits such as portable, long wireless range, low power consumption, low cost and can be used worldwide using internet. The test results show its potential to be implemented in small offices and smart homes.
Keywords:	Internet, Remote Controlling And Monitoring, Zigbee, Wireless.
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2014 -- Vol. 70. No. 2 -- 2014
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Title:	ROTOR POSITION OF SWITCHED RELUCTANCE MOTOR USING SENSORLESS METHOD
Author:	RAMESH PALAKEERTHI, Dr. P. SUBBAIAH
Abstract:	Switched reluctance motor (SRM) is an energy converter that converts an electrical energy to mechanical energy in motoring operation and vice-versa in generating operation. When the rotor is out of alignment, the inductance is very low and the current also increase rapidly. The rotor is aligned with the stator then the inductance become very large. In the simulation results, how the rotor minimizes the reluctance position during excitation in a magnetic circuit is presented in this work.
Keywords:	Switched Reluctance Motor (SRM), Rotor Position, Sensorless Method, Flux linkage.
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2014 -- Vol. 70. No. 2 -- 2014
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Title:	AN ALGORITHM TO CONSTRAINTS BASED MULTI-DIMENSIONAL DATA CLUSTERING AIDED WITH ASSOCIATIVE CLUSTERING
Author:	B.KRANTHI KIRAN, Dr. A VINAYA BABU
Abstract:	To address the clustering problem related to multi-dimensional data clustering, a number of techniques have been implemented. A constraint based multi-dimensional data-clustering algorithm is proposed in this paper which helped with associative clustering can find out the number of clusters optimally present in a multi-dimensional data set. Now, by bays factor computation process associative constraint based clustering process is executed. Moreover, genetic algorithm is applied to optimization process to discover the optimal cluster results. The constraints based proposed algorithm assists in recognizing the right data to be clustered and the knowledge considering the data regarded as a constraint which enhances the precision of clustering. The data constraints furthermore assist in indicating the data related to the clustering task. The result of the proposed optimal associative clustering algorithm is compared with an existing algorithm on two multi dimensional datasets. Experimental result demonstrates that the proposed method is able to achieve a better clustering solution when compared with one existing algorithm.
Keywords:	Associative Clustering, Genetic Algorithm, Multi-dimensional Data, Bays Factor, Contingency Table
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2014 -- Vol. 70. No. 2 -- 2014
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Title:	THREE LAYERS APPROACH FOR NETWORK SCANNING DETECTION
Author:	OMAR E. ELEJLA, AMAN B. JANTAN, ABDULGHANI ALI AHMED
Abstract:	Computer networks became one of the most important dimensions in any organization. This importance is due to the connectivity benefits that can be given by networks, such as computing power, data sharing and enhanced performance. However using networks comes with a cost, there are some threats and issues that need to be addressed, such as providing sufficient level of security. One of the most challenging issues in network security is network scanning. Network scanning is considered to be the initial step in any attacking process. Therefore, detecting networks scanning helps to protect networks resources, services, and data before the real attack happens. This paper proposes an approach that consists of three layers to detect Sequential and Random network scanning for both TCP and UDP protocols. The proposed Three Layers Approach aims to increase network scanning detection accuracy. The Three Layers Approach defines some packets to be used as signs of network scanning existence. Before applying the approach in a network, there is a Thresholds Generation Stage to that aims to determine descriptive set of thresholds. After that, the first layer of the approach aggregates sign packets in separated tables. Then the second layer of the approach analyzes these tables in new tables by counting packets generated by each IP. Finally, the last layer makes a decision of whether or not a network is being scanned.
Keywords:	Network Security, Network Scans, Scan Detection, TCP, UDP.
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2014 -- Vol. 70. No. 2 -- 2014
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Title:	A STUDY ON ARTIFICIAL INTELLIGENCE FORECASTING OF RESORT DEMAND
Author:	HAN-CHEN HUANG
Abstract:	In recent years, the number of foreign visitors to Taiwan continued to increase, and people paid greater attention to quality of life, thus, the domestic tourism industry has become increasingly active. Resorts are very popular and are the hot mainstream commodity of the leisure and tourism industry. However, leisure and tourism are not livelihood necessities, and consumer demand is subject to many other factors. The resort industry must be able to master the demand volume in order to achieve advance planning of resource management and allocation, human use, financial management, marketing management, etc. Therefore, this study applies artificial intelligence technology to establish the resort demand forecasting model. The empirical results show that forecasting model Mean Absolute Relative Error (MARE) is 0.1232, and correlation coefficient is 0.9408, indicating that the model has a good forecasting ability and can be used as a reference for the resort industry and related industries in Taiwan.
Keywords:	Resort, Demand, Forecasting
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2014 -- Vol. 70. No. 2 -- 2014
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Title:	IMPACT OF SOFTWARE RISK MANAGEMENT ON ANALYSIS MODELING IN LIFE CYCLE OF WEB APPLICATION DEVELOPMENT
Author:	J.ALJABRI
Abstract:	Various branches of engineering use models effectively to reduce complexity, document analysis steps and facilitate communication within the development team. And this applies to software engineering and web engineering. Modeling aims to provide detailed sufficient descriptions to accomplish the system we want to build, modeling easily produces patterns represent specific forms of the system and supposed to be comprehensive. Because of privacy web applications the general framework of web application development is surrounded by many risks related with time pressure, the need for rapid release within environment its requirements are constantly changed . Thus time commitment Issue will be more important than waiting to achieve some requirements, this is the reason causes several parallel versions , depending on reuse parts, components and integrating it within the application. Also web development procedure have to adapt dynamically with the complexity of the application, quality we want. Any malfunction occurs during web development procedure life cycle; even on level of aesthetic appearance of web application; will lead to accumulated problems making internet users runaway the product, and this will illustrate the importance of this paper. In this paper, we will discuss impact of risk management on analysis modeling within web application development framework, we will explore its levels (content – navigation – presentation ) and impact of risk management on each level, supported by review system of scientific papers as an example to show the impact of risk management on analysis modeling and increasing the chances of success.
Keywords:	Web Application, Analysis , Modeling, Level, Risk, Management.
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2014 -- Vol. 70. No. 2 -- 2014
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Title:	A NEW METHODOLOGY OF THREE WAY DISTRIBUTION PROCESS OF IMPROVED PSO ALGORITHM USING MOBILE SINK NODES
Author:	S. RAJ ANAND, E. KANNAN
Abstract:	In a recent trend, Mobile sink (MS) is a major part of Wireless Sensor network (WSN) for distributing, scalable network of communicating with localized environment. Improved Particle Swarm Optimization algorithm (IPSO) has been used to find the exact location of three way processes such as sink, distribution of frequency and localization. The combined OFDMA/TDMA approach is used in multiple carrier channels for accessing the data parallel without any overlapping bandwidth at the appropriate scheduled time. The existing multiple access techniques have not been used in the mobile sink for accessing the secure data. The time schedules were not fixed for all levels of communication to identify the localization. The proposed research is to implement IPSO algorithm with Orthogonal Frequency Division Multiple Access (OFDMA) techniques for utilizing exact bandwidth to communicate in the schedule time. The experimental results have produced the Quality of Service (QoS) for accessing the better outcome of bandwidth and producing the efficient throughput.
Keywords:	Mobile Sink, Particle Swarm Optimization, OFDMA, Wireless Sensor Network
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2014 -- Vol. 70. No. 2 -- 2014
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Title:	BUILDING DAMAGE HAZARD ZONATION USING FKCN AND IDW ALGORITHM
Author:	MUHAMMAD FAISAL, EDY IRWANSYAH
Abstract:	The objective of this study is to create building damage hazard zonation area using fuzzy kohonen clustering network (FKCN) for physical parameter data clustering and inverse distance weighting (IDW) for data interpolation in Banda Aceh city, Indonesia. IDW algorithm is used alongside FKCN because of its simplicity. The physical parameter in this study consists of lithology, topographic zone and peak ground acceleration value (PGA). The result is Banda Aceh city divided into 3 zones which are low, medium, and high building damage area, based on the combination of physical parameter on each area.
Keywords:	Building Damage, Earthquake, Fuzzy Kohonen Clustering Network, Hazard Zonation, Inverse Distance Weighting
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2014 -- Vol. 70. No. 2 -- 2014
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Title:	SCORING MODEL FOR AVAILABILITY OF VOLATILE HOSTS IN VOLUNTEER COMPUTING ENVIRONMENT
Author:	SOODEH PEYVANDI, ROHIZA AHMAD, M.NORDIN ZAKARIA
Abstract:	Volunteer Computing systems (VC) use the idle computing resources which are composed of unreliable volunteers whose exhibit volatile behavior and often they are not available because of the autonomy nature of owners. Scientific experiments that use internet-connected computers are internet based VC projects. However, the volatility of volunteer is significant challenge in VC and it is effective on applications that are using these types of hosts. Therefore, investigating resource characterization in order to derive efficient factors of host’s availability is needed to improve VC systems. Factors analysis of hosts is fruitful in making better decision for job scheduler in order to improve system’s performance. The purpose of this paper is determination the availability score model for volatile hosts according to statistical analysis of host’s factors from actual occurrence trace data set. This study is proved the relationship across host’s factors then it is proposed Scoring Availability Model.
Keywords:	volunteer computing, resource characterization, CPU availability, scoring model
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2014 -- Vol. 70. No. 2 -- 2014
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Title:	MOBILE SECURITY: SECURITY MECHANISMS AND PROTECTION OF MOBILE APPLICATIONS
Author:	NAJIM AMMARI, MOHAMED GHALLALI, ANAS ABOU EL KALAM, NORELISLAM EL HAMI, ABDELLAH AIT OUAHMAN, BOUABID EL OUAHIDI
Abstract:	The main objective of this paper is to propose security policies and mechanisms for mobile phones that better meet the expectations of users, either at the level of mobile networks, or mobile applications.At the mobile networks level: The study focuses on limiting the spread of malware via SMS / MMS and emails. It describes the steps involved in identifying, analyzing and securing traffic in mobile networks. For this purpose, a Framework MPSS (Mobile Phone Security Scheme) is used as part of the mobile network of operator Telecom. MPSS aims to increase the level of information security through the network of the telecom operator and solve problems related to limited resources on mobile devices and reduce the risk of loss of data users (individuals, companies). Basically, this study proposes a new model of mobile security applications consisting of several levels and layers. Each layer of this model is responsible for the security of its components, and nothing more. The upper levels of the model are based on all lower levels to ensure that their components are safe in an appropriate manner. This model based on abstraction allows the design of a particular mobile security mechanism to focus on one area of concern without spending resources to analyze all layers that support its current position in the model.
Keywords:	Mobile security, Framework Mobile Phone Security Scheme (MPSS), Spread of mobile malwares, The Security Model for Mobile Applications (SMMA), Mobile Network Operator.
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2014 -- Vol. 70. No. 2 -- 2014
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Title:	INTERNAL THREAT CONTROL FRAMEWORK BASED ON INFORMATION SECURITY MANAGEMENT SYSTEM
Author:	ZAILAWANI MUKHTAR, KAMSURIAH AHMAD
Abstract:	This paper focuses on proposing a framework for security control that based on ISO 27001 and ISO 27002, which is a standard of Information Security Management System (ISMS). This framework helps to mitigate internal threats for data centre meant for public sector adoption. The ISMS implementation scope in the public sector normally comprises of data centre and information security services. Previous research indicates that there is no specific framework being develop to mitigate internal threat in the data centre. Findings from the previous study generally show that human resource security, access control, physical and environmental security, and operation and communication security are used to mitigate internal threats. Hence, this paper aims to identify the most important security elements to develop internal threats framework for data centre, as well as to formulate a guideline based on the identified elements. Finally, an internal threats framework based on the elements and the guidelines is developed. A qualitative research technique, such as an interview has been conducted to study the suitability of the identified security control elements. After the result of the first interview, a second interview is conducted to validate the proposed framework. A methodology used to establish the framework includes planning, analysis, design and validation. It is hoped that the establishment of the framework, may guide the public sector to manage internal threats for the data centre, as well as to reduce security incidents which may cause by human factors.
Keywords:	ISMS, ISO27001/27002, internal threat, data centre
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2014 -- Vol. 70. No. 2 -- 2014
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Title:	RECOMMENDATION OF PERSONALIZED RSS FEEDS BASED ON ONTOLOGY APPROACH AND MULTI-AGENT SYSTEM IN WEB 2.0
Author:	YASYN ELYUSUFI, MOHAMMED AMINE ALIMAM, HAMID SEGHIOUER
Abstract:	Nowadays, multi-agent systems (MAS) are used in many fields such as industry, education, finance, etc. MAS counts among the most promising technological paradigms in the development of Web applications. They can contribute significantly to improving the quality of the use of these applications. In this paper, we propose a new recommendation approach for personalized RSS (Really Simple Syndication) feeds in Web2.0 applications (Wiki , Blogs, Social Networks ... ). This approach is based on a process of coupling ontologies and multi- agent systems and benefits from the synergy between the two concepts. In this context, we propose a model which allows human agents (scientists, experts ...) to cooperate with software agents to help the system to recommend personalized RSS feeds for users’ interests. In the first section we present personalization techniques using the ontological approach. In the second section we present the new concept of coupling between Multi Agent Systems and ontologies. In the third section, we present our approach to identifying ontology-based user profiles and multi agent system for personalized RSS feeds. The conclusion comes in the last section.
Keywords:	Recommendation, User Profile, RSS, Ontology, MAS, Web2.0.
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2014 -- Vol. 70. No. 2 -- 2014
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Title:	A REVIEW ON LASER SPOT DETECTION SYSTEM BASED ON IMAGE PROCESSING TECHNIQUES
Author:	NOR FARIZAN ZAKARIA, MOHD ASYRAF ZULKIFLEY, MOHD. MARZUKI MUSTAFA, ROHANA ABDUL KARIM
Abstract:	Laser pointer is a low-cost daily essential item that can provide a prominent spot, deliver the meaning of a pointing gesture and accurately indicate a spot. Robust detection of a laser spot has been made possible with the help of the computer vision techniques. Autonomous laser spot detection system has led to the evolution of many applications such as laser pointer interaction, autonomous robotic helper and simulation based computer game. This paper aims to provide the general architecture and methodology used in a laser spot detection system. Major lower level processing methods, such as thresholding, background subtraction, region of interest extraction and coordinate mapping are fundamental in developing a good laser spot system. Our study found out that most of existing systems are prone to error whenever the lighting condition is varied either gradually or suddenly. The spot is also difficult to detect when it is overlaid on a white background due to the weakness in the detection scheme. Jitter, which is mostly caused by uneven hand movement, is a big challenge in developing an accurate system, especially for laser interaction applications. Finally, we believe that a robust laser spot detection system can be built if the aforementioned challenges are carefully addressed.
Keywords:	Laser Spot Detection, Coordinate Mapping, ROI Extraction, Thresholding, Background Subtraction
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2014 -- Vol. 70. No. 2 -- 2014
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Title:	MULTI-AGENT SECURITY ARCHITECTURE FOR A SHARIA COMPLIANT E-AUCTION
Author:	NOR AIMUNI MD RASHID, NORLEYZA JAILANI, ROSSILAWATI SULAIMAN, ZURAIDAH ABDULLAH
Abstract:	Electronic auction has introduced new processes in the way auction is conducted which require investigation to ensure compliancy to Sharia (Islamic principles that are based on Qur’an and Sunnah) rules. The use of mobile software agent in electronic auction marketplaces adds ubiquity power to the bidders. In particular it allows agents to quicker respond to local changes in auction marketplaces and make bidding strategy decisions faster than remote agents or human participants could. Nevertheless, mobile agent raises issues concerning malicious attacks from a variety of intervening sources that might alter the sensitive information it carries. A multi-agent based e-auction must fit the concept of halal trade and address the problems resulting from fraud activities in online auction. Most auction frauds such as bid shilling and bid shielding also violate Sharia transaction law. If an attacker gains information on sensitive data such as the maximum bid for the bidders, the information can be manipulated to artificially increase prices through bid shilling. A Sharia compliant e-auction must comply with Islamic business law and offer secure and trustworthy trading environment. This paper discusses findings of non-compliances to Sharia rules found in the case studies conducted on a number of major online auction systems. This paper focuses on addressing the bid shilling problem by proposing multi-agent security architecture for Sharia compliant e-auction which encompasses security protocols for mobile agent authentication and confidentiality of sensitive information. Mobile agents are used to carry bidders’ and sellers’ data. Cryptography protocol such as encryption/decryption, digital signature and hash function are used and applied on identified high and low risk data.
Keywords:	E-Auction, Security, Cryptography, Multi-Agent, Sharia Compliant
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2014 -- Vol. 70. No. 2 -- 2014
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Title:	TEXTUAL AND STRUCTURAL APPROACHES TO DETECTING FIGURE PLAGIARISM IN SCIENTIFIC PUBLICATIONS
Author:	IDRIS RABIU, NAOMIE SALIM
Abstract:	The figures play important role in disseminating important ideas and findings which enable the readers to understand the details of the work. The part of figures in understanding the details of the documents increase more use of them, which have led to a serious problem of taking other peoples’ figures without giving credit to the source. Although significant efforts have been made in developing methods for estimating pairwise diagram figure similarity, there are little attentions found in the research community to detect any of the instances of figure plagiarism such as manipulating figures by changing the structure of the figure, inserting, deleting and substituting the components or when the text content is manipulated. To address this gap, this project compares theeffectiveness of the textual and structural representations of techniques to support the figure plagiarism detection. In addition to these two representations, the textual comparison method is designed to match the figure contents based on a word-gram representation using the Jaccard similarity measure, while the structural comparison method is designed to compare the text within the components as well as the relationship between the components of the figures using graph edit distance measure. These techniques are experimentally evaluated across the seven instances of figure plagiarism, in terms of their similarity values and the precision and recall metrics. The experimental results show that the structural representation of figures slightly outperformed the textual representation in detecting all the instances of the figure plagiarism.
Keywords:	plagiarism., figures, images, pairwise diagram, Jaccard similarity measure
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2014 -- Vol. 70. No. 2 -- 2014
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Title:	PREDICTION OF SUSTAINABLE SUPPLY CHAIN MANAGEMENT FOR GAYO COFFEE USING SYSTEM DYNAMIC APPROACH
Author:	RACHMAN JAYA, MACHFUD,2SAPTA RAHARJA, MARIMIN
Abstract:	Gayo coffee is an indigenous commodity in Aceh Province, Indonesia, especially for Gayo ethnic who lives in Gayo Highland. Sustainable supply chain was an extension of conventional supply chain that specifically focuses on economic, social and environment dimension. In operational purpose, third aspects appropriate trade off, one side actors have economic growth and the other side gives negative impact for social and environment aspects. The objectives of this research were to investigate important factors influence in sustainable Gayo coffee supply chain (GCSC), and to predict the future about sustainability of GCSC as well as to build the scenario policy for actors. In this research, we explored relationship among economic, social and environment dimension on farmers, collectors as well as processor while current practice and prediction for the Gayo coffee supply chain using system dynamics and multi-dimensional scaling approach. GCSC chain help to map actors and activities, while the sustainability of GCSC was explained through net profit for economic dimension, social welfares and management by product (pulp) to produce compost as well as water efficiency when production process. Predictions for the future of sustainable for GCSC within all actors based on third dimension were also explored.
Keywords:	Sustainable Supply Chain, Gayo Coffee Supply Chain, System Dynamics, Aceh Province
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2014 -- Vol. 70. No. 2 -- 2014
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Title:	IMPACT OF THE STATOR RESISTANCE OF SQUIRREL CAGE INDUCTION MOTOR USING DIRECT TORQUE CONTROL AND PI CONTROLLER
Author:	RIDWAN GUNAWAN, FERI YUSIVAR
Abstract:	The three-phase induction motor squirrel cage has a characteristic change in the event of a change in temperature beyond the motor operation, which leads to changes in the stator so that the resistance value affects the performance of the rotational speed of the motor, the motor rotation speed changes are influenced by the amount flux generated by the flow of resistance in stator. This paper aims to monitoring the motor rotation speed a characteristic three phase squirrel cage induction againts shift in the stator resistance value using a PI controller and a sensor of the motor speed in which the reference modeling is used motor stator current and stator flux. All of the three phase system is transformed in quadrature and direct axis.The resistance change of approach to equality of the number of turns in each phase in the stator. The Direct Torque Control method is used because the process of the motor speed is determined by the stator flux, torque, and position the sector to determine the input of inverter switching obtained from the Lookup Table [6]. The value of resistance in flux estimation gives the value of the flux hysteresis band against the actual performance.
Keywords:	Stator resistance, Three-phase Induction motor Squirrel Cage, Direct Torque Control (DTC), Proportional and Integral controller (PI Controller) , Quadrature-Direct axis (qd-axis)
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2014 -- Vol. 70. No. 2 -- 2014
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Title:	REVIEW ON SERVICE SELECTION SCHEMES BASED ON USER PREFERENCES
Author:	SHAHID KAMAL, ROLIANA IBRAHIM, IMRAN GHANI
Abstract:	A variety of schemes for user preference-based Web Service selection has been developed over the years. Users provide their preferences and then receive related services by the service selection mechanisms using different schemes. The individual performance of these schemes may vary while using different quality measures under changed circumstances. In this review, focus is on Service Selection schemes in the Web Service selection domain. Overall, a total of seventy-six (76) studies from 2004 to 2013 have been reviewed in this paper. However, twenty-five (25) studies were selected and categorized into five (5) groups that focused on each one of the five schemes (CP-Nets, OWL, QoS, Multi-request, and Ranking) and performance related quality attributes. The findings indicate the following results of differing schemes, namely: accuracy is focused upon to a greater degree of (56%) compared to the other quality attributes, specifically: efficiency (40%), effectiveness (40%), scalability (24%) and reliability (16%) respectively.
Keywords:	Web Service Selection, User Preferences, Selection Scheme, Quality of Service (QoS)
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2014 -- Vol. 70. No. 2 -- 2014
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Title:	PERFORMANCE MEASUREMENT MODEL FOR MOROCCAN AUTOMOTIVE SUPPLIERS: THE MCDM APPROACH WITH AHP AND NONADDITIVE FUZZY SUGENO INTEGRAL
Author:	MOHAMED TAREK CHAHID, NOUREDINE EL ALAMI, AZIZ SOULHI & JAMILA EL ALAMI
Abstract:	The performance measurement systems (PMS) in the industry are defined in terms of various measures to be combined for global performance. The proposed approach treats with a qualitative approach for multicriteria decision with the improvement strategy of an overall industrial performance. The approach is based on a Sugeno integral aggregation operator, permits to express the global performance, according to the fuzzy set theory of appropriate Key Performance Indicators (KPI), the nonlinearity of this model, makes data ambiguous in the process of multicriteria decision-making. Hence, this manuscript is a contribution to the selection of the strategy of the improvement of the overall performance. The approach applies to the Moroccan Automotive Suppliers to evaluate the best strategy alternative by using a fuzzy Sugeno Integral technique to deal with the complex interrelationships aspects between KPI.
Keywords:	Performance measurement systems; Sugeno integral aggregation; fuzzy logic; Global Performance, Improvement strategy.
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2014 -- Vol. 70. No. 2 -- 2014
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Title:	PREPROCESSING AND GENERATION OF ASSOCIATION RULES FOR PREDICTION OF ACUTE MYELOID LEUKEMIA FROM BONE MARROW DATA
Author:	D.MINNIE, S.SRINIVASAN
Abstract:	In this paper we analyze the components of the bone marrow and the structure of the bone marrow database. The Knowledge Discovery in Databases (KDD) steps are briefly explained. 18,000 bone marrow analysis records are collected from a reputed Hospital and this raw data is transformed into a preprocessed data using the pre-processing phases of KDD such as Data Cleaning, Data Selection and Data Transformation. Eliminate the tuple technique is used to clean the data. The attributes related to the bone marrow components are selected. The ranges of low, high and normal values for the individual attributes are used to transform the data. The Data Mining techniques are studied and the Apriori algorithm is selected for finding frequent item sets that are used for the generation of association rules.
Keywords:	Knowledge Discovery in Databases, Data Mining, Association Rule Mining, Haematology, Bone Marrow Analysis.
Source:	Journal of Theoretical and Applied Information Technology 20^th December 2014 -- Vol. 70. No. 2 -- 2014
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