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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
November 2015 | Vol. 81 No.3

Title:	A SIMULATION BASED DECISION-MAKING SUPPORT APPROACH FOR MACHINE-BUILDING PLANTS INVESTMENT PROJECTS ESTIMATION OF EFFICIENCY
Author:	MIKHAIL V. ZENKOVICH, YURY G. DREVS
Abstract:	Methods and software enabling the estimation of efficiency and the comparisons of alternative designs of machine-building plants are discussed. Problem of efficiency estimation for investment projects of machine-building plants is formulated in the terms of decision theory. Presented approach is based on the reduction of multicriterion problem of estimation of investment project to one-criterion problem. This paper describes: the structure of set of outcomes of admissible alternatives, set of vectorial estimations of outcomes, mapping of set of outcomes of acceptable alternatives to set of vectorial estimations of outcomes and structure of decision maker’s preferences. Decision rule which allows carrying out required operation over the set of admissible alternatives is formulated. Application of simulation for estimation of technological and structural decisions, which was made during the plant design, is the central feature of presented approach. Designed simulation model refers to discrete-event class. Object-oriented approach was applied for designing of the model and programming language C++ for its implementation. Application of detailed simulation model of production line allows carrying out an accurate estimation of technological and structural characteristics of involved projects. Presented methodology of estimation of investment projects of machine-building plants is tried-and-true method which applies on the phase of designing and engineering of machine-building plant. The presented approach is discussed on the example of foundry plant with moulding line.
Keywords:	Simulation, Investment Projects Estimation Of Efficiency, Decision-Making Support, Machine-Building Plant, Production Line.
Source:	Journal of Theoretical and Applied Information Technology 30^th November 2015 -- Vol. 81. No. 3 -- 2015
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Title:	EARLY PREDICTION MODEL TO MANAGE RISKS FROM EARLIEST STAGES TO INCREASE PROJECT SUCCESS
Author:	NORULHAIDA ABDULLAH, MARZANAH A. JABAR, FATIMAH SIDI, YUSMADI YAH
Abstract:	Today, managing a software project is so complex and risky. Software project is unique compare than physical project out there because it faces a lot of risks and failure. Project failure in Software Project Management (SPM) is distinct due to the characteristic of software project: intangible, unpredictable, and often fail and one-off project. In this research, the problem is how project failure can be minimize or avoided. To solve it, an early prediction model with proactive signal messenger to detect risk in earliest stages. The model was validated using questionnaires and pilot study. The proposed model developed achieved its goal which is to minimize risk in software development process to increase project success. The result of this study has shown that the proactive elements detection in earliest stage can detect risk earlier and helps to increase project success.
Keywords:	Software Project Management, Software Project Risks, Early Warning Signs, Early Prediction Model and Risk Management
Source:	Journal of Theoretical and Applied Information Technology 30^th November 2015 -- Vol. 81. No. 3 -- 2015
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Title:	A RESEARCH FRAMEWORK OF ELECTRONIC DOCUMENT MANAGEMENT SYSTEMS (EDMS) IMPLEMENTATION PROCESS IN GOVERNMENT
Author:	HAIDER ABDULKADHIM, MAHADI BAHARI, ARYATI BAKRI, WAIDAH ISMAIL
Abstract:	Many governments today have implemented Electronic Document Management Systems (EDMS). The employment of EDMS systems has increased the operational (e.g. document storage and retrieval, auditing, workflow facilities, searching and publishing) effectiveness of governments on daily basis. However, not many studies had been undertaken into process of implementing EDMS in the government context. Therefore, this paper fills this gap by presenting a research framework for the implementation process of EDMS. Based on a content analysis of the reviewed literature, this paper identifies thirteen (13) common factors contributing to the implementation process of EDMS. The factors are: (1) Top management support; (2) Budgetary; (3) Implementation planning; (4) Anti-corruption; (5) Implementation staff; (6) Security and privacy; (7) Data quality, (8) User requirements; (9) Cooperation; (10) Systems integration; (11) Awareness; (12) Resistance to change; and (13) Staff training. All these factors subsequently were linked to the Prosci-ADKAR model of change to outline the structure of EDMS implementation process framework. The proposed framework contributes to the theoretical understanding of the EAI implementation process, which may support government practitioners in implementing the EDMS applications in their government organizations. The paper also highlights with three important issues that need to be explored further while developing the framework: 1) the EDMS implementation process meaning in system development life cycle; 2) the importance of EDMS implementation factors; and 3) the kind approach to investigate EDMS implementation process.
Keywords:	Electronic Document Management System (EDMS), EDMS implementation, implementation process, EDMS factor, content analysis
Source:	Journal of Theoretical and Applied Information Technology 30^th November 2015 -- Vol. 81. No. 3 -- 2015
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Title:	A NOVEL POWER EFFICIENT ON-CHIP TEST GENERATION SCHEME FOR CORE BASED SYSTEM-ON-CHIP (SOC)
Author:	B. SAGAR, S. RAJENDAR, R. MURALI PRASAD
Abstract:	In this paper, a modified programmable twisted ring counter (MPTRC) based on-chip test generation scheme is proposed. It is used as built-in-self-test (BIST) pattern generator for high performance circuits with simple test control. This method is used to achieve low power and reduced test time for digital circuits. The MPTRC module is designed with Cadence NClaunch platform using Verilog HDL and synthesis done by using Cadence RTL compiler with 0.18µm technology. The simulation results show about 13.46% power reduction compared with conventional programmable twisted ring counter (PTRC) based design.
Keywords:	Built-in-self-test (BIST), System-on-chip (SoC), Ring counter, Twisted-ring-counter (TRC), Programmable twisted ring counter (PTRC).
Source:	Journal of Theoretical and Applied Information Technology 30^th November 2015 -- Vol. 81. No. 3 -- 2015
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Title:	A FRAMEWORK OF METHODS CLASSIFICATION FOR MULTIPARTITE ENTANGLEMENT
Author:	SITI MUNIRAH MOHD, BAHARI IDRUS, MURIATI MUKHTAR, HISHAMUDDIN ZAINUDDIN
Abstract:	Multipartite entanglement study carried out after bipartite entanglement as multipartite has a structure that is more useful for processing data in quantum information. In entanglement, two major studies were often focus is the measurement and classification of entanglement. Since a lots of measurements have been used to detect and quantify the entanglement in multipartite but it cannot distinguish the state specifically hence the classification is used to discriminate the state easily. Therefore, this study investigated the methods of classification of selected published works. This paper aims to recognize and describe the type of methods used by those works. As a result, a conceptual framework for classifying the multipartite entanglement was proposed based on previous works. This paper is expected to provide other alternative methods for classification.
Keywords:	Multipartite Entanglement, Entanglement Measurement, Classification of Multipartite Entanglement, Local Unitary (LU), Stochastics Local Operations And Classical Communication (SLOCC)
Source:	Journal of Theoretical and Applied Information Technology 30^th November 2015 -- Vol. 81. No. 3 -- 2015
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Title:	EFFECTIVE INFORMATION RETRIEVAL METHOD BASED ON MATCHING ADAPTIVE GENETIC ALGORITHM
Author:	ESSAM HANANDEH, KHALED MAABREH
Abstract:	Information Retrieval (IR) System is very complex in nature due to the complex interactions between documents and queries, which means that the matching of document representations and query representations is not straightforward. The Genetic Algorithm (GA) is widely used in IR systems to improve the effectiveness such systems. This study uses the Vector Space Model (VSM) and the Extended Boolean Model (EBM) to compute the similarities between queries and documents. Two fitness functions are proposed in this paper: One as fitness function and the other as adaptive mutation. Then comparing each of these functions with a number of ratio mutations that have been introduced to get better results. The experimental results reveal that the proposed cosine function outperformed other fitness models.
Keywords:	Information retrieval system, Genetic algorithm, Adaptive mutation, Vector Space Model, Extended Boolean Model, Mutation
Source:	Journal of Theoretical and Applied Information Technology 30^th November 2015 -- Vol. 81. No. 3 -- 2015
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Title:	INTERACTIVE VISUALIZATION OF MULTI-DIMENSIONAL DATA ON HETEROGENEOUS INFORMATION OBJECTS IN THE DECISION SUPPORT SYSTEMS FOR SOLVING MULTICRITERIA CHOICE PROBLEM
Author:	ALEKSANDR ALEKSANDROVICH VAKULENKO, DMITRII ALEKSANDROVICH SYTNIK
Abstract:	In decision support systems, one of the tools for solving multicriteria choice problems is the analytic hierarchy process. This method uses a large amount of data. To improve the efficiency of decision-making, the method of interactive visualization of multidimensional data is proposed. The method makes it possible to change the hierarchical structure of objectives in the choice problem, set weights of objective functions at each of the hierarchy levels, and observe the quantitative dependencies of the objective function using graphs. The method is based on the combination and modification of charts: a bar graph, a Tree Map and a flat organizational chart. The modification involves adding interactive elements, making it possible to change the hierarchical structure, change the quantitative values of individual parameters and the weighting factors, select a range of values, as well as encoding quantitative values using the gradient transition of color to display the relationships between the values of the objective functions of different hierarchy levels. Continuous interactive actions of the user result in a corresponding change in graphically displayed items. It provides fast feedback between the user and the decision support system. The practical implementation of the method will provide ease of perception of choosing, setting rules for decision-making, ease of explaining the main reasons, influencing the choice of solutions, high-speed operation.
Keywords:	Decision Support System, Analytic Hierarchy Process, Choice Problem, Interactive Visualization, Treemap, Visualization Of Hierarchical Structure, Multi-Criteria Problem, Visualization Of Quantitative Values, Multidimensional Data.
Source:	Journal of Theoretical and Applied Information Technology 30^th November 2015 -- Vol. 81. No. 3 -- 2015
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Title:	TWO STAGE QOS-AWARE COEXISTENCE FRAMEWORK FOR TVWS
Author:	ANABI HILARY KELECHI, ROSDIADEE NORDIN
Abstract:	In this paper, we formulated a heterogeneous coexistence framework in TV White Space (TVWS) consisting of Primary Users (PUs), Secondary Users (SUs) and IEEE 802.19.1 standard using the Cournot economic game model. TVWS is associated with temporary buying and selling of spectrum and hence, the use of the economic model. The robustness of the proposed model stems from the unique SINR requirements of the PUs were considered. Secondly, IEEE 802.19.1 standard plays a double role of database provider and heterogeneous coexistence framework. QoS is an important performance indicator for wireless communication and hence, there is a need for a QoS coexistence model in TVWS. Our goal is to design a Cournot QoS-aware spectrum game model for the PUs. Thus, resulting in a QoS-aware coexistence framework for TVWS.
Keywords:	Cournot Duopoly, Economy model, Game Theory, Heterogeneous Co-existence, QoS, TVWS
Source:	Journal of Theoretical and Applied Information Technology 30^th November 2015 -- Vol. 81. No. 3 -- 2015
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Title:	COMPUTERIZED EXTRACTION OF MORPHOLOGICAL AND GEOMETRICAL FEATURES FOR PLANTS WITH COMPOUND LEAVES
Author:	HANEEN ALTARTOURI, DUA’A ABU MAIZER, ASMA IDAIS, HASHEM TAMIMI, RAMI ARAFEH
Abstract:	Extracting and analyzing biological features is becoming a challenging approach for biologists and IT specialists alike. In botany, feature extraction of plant leaf using computer vision would help in classification and early diagnosis of plant diseases. The approach ranges from a simple species recognition using the features of a simple leaf to a sophisticated array of features in the case of a compound irregular leaf morphology. We propose a system for extracting features from an irregular compound-leaf, with minimum user intervention, then establish clustering into distinct similarity groups. We focused on analyzing features of a tomato compound leaf then a cluster analysis at the variety (intraspecific) taxonomic level was carried out. Experimental results of the clustering process showed that our methodology can be used to classification in the feature. From the samples that were included in the study, two major clusters; potato-type-leaves and tomato-type-leaves were revealed.
Keywords:	Feature Extraction, Image Processing, Compound Leaf, Morphological Features, Tomato Leaf
Source:	Journal of Theoretical and Applied Information Technology 30^th November 2015 -- Vol. 81. No. 3 -- 2015
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Title:	FACTORS SUPPORTING TEAMWORK COMMUNICATION IN CLINICAL PATHWAYS: SYSTEMATIC LITERATURE REVIEW
Author:	WASEF MATER, ROLIANA IBRAHIM
Abstract:	This systematic review presents the factors that influence teamwork communication, when using clinical pathways, and the relationships between these factors. These factors will support and promote teamwork communication when using clinical pathways. Extensive research was conducted on four databases, including Medline, Scopus, science direct, and Google scholar. From this search, we identified three dimensions of factors that influence teamwork communication, namely (teamwork, tasks and context) and every dimension has its own factors. A set of indicators and factors influence teamwork communication, and these factors are classified into three dimensions based on the systems theory, namely input, process and output. The factors that are investigated in this study have a positive influence on teamwork communication, and these factors will be used as guidelines for developing a framework for implementing clinical pathways that support teamwork communication in the healthcare domain.
Keywords:	Teamwork Communication, Clinical Pathways, Factors and Indicators
Source:	Journal of Theoretical and Applied Information Technology 30^th November 2015 -- Vol. 81. No. 3 -- 2015
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Title:	A NEW HYBRID MODEL FOR ELECTRONIC RECORD MANAGEMENT
Author:	MARIAM AFSHAR, KAMSURIAH AHMAD
Abstract:	In a daily activity of an organisation, thousands of electronic record (e-records) are created. Managing this massive amount of e-records is a challenging task for system managers. Organisations, according to legal and financial administrative procedures or regulations, keep the e-records for a certain period of time and after that, they will be transferred or destroyed. Thus, there is an urgency to manage these e-records during their lifecycle. Public agencies need a framework to manage the e-records throughout their full life span. Effective and efficient aging of the e-records throughout their full life span ensure stockholders and organisations benefit and protect their rights, facilitate decision making and support daily activity of the organisations. This paper proposes a hybrid model for managing e-records throughout their full lifecycle. Output from this study will help users of electronic records to manage the records from the time of their creation to disposal.
Keywords:	E-Record, Life Cycle Model, Hybrid Model, Continuum Model, E- Record Management.
Source:	Journal of Theoretical and Applied Information Technology 30^th November 2015 -- Vol. 81. No. 3 -- 2015
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Title:	SELECTIVE NOISE FILTERING OF SPEECH SIGNALS USING AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM AS A FREQUENCY PRE-CLASSIFIER
Author:	SACHIN LAKRA , T. V. PRASAD , G. RAMAKRISHNA
Abstract:	The paper relates to the filtering of a noise signal present in a speech signal. Specifically, the use of an Adaptive Neuro-Fuzzy Inference System (ANFIS) to classify the frequencies present in a speech signal into three fuzzy sets, that is, those for low frequencies, voice frequencies and high frequencies is discussed in this work. Following the pre-classification step, the low frequencies are filtered which comprise the noise component in the speech signal. The pre-classifier was applied prior to the use of various FIR/IIR filters for reducing the noise present in a speech signal. The paper presents the use of an ANFIS for pre-classification of frequencies in a speech signal followed by application of a noise filter to individual or multiple classes of frequencies. It provides evidence for substantial improvement in the quality of the speech signal.
Keywords:	Adaptive Neuro-Fuzzy Inference Systems; Frequency pre-classifier.
Source:	Journal of Theoretical and Applied Information Technology 30^th November 2015 -- Vol. 81. No. 3 -- 2015
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Title:	A HYBRID OF OPTIMIZATION METHOD FOR MULTI-OBJECTIVE CONSTRAINT OPTIMIZATION OF BIOCHEMICAL SYSTEM PRODUCTION
Author:	MOHD ARFIAN ISMAIL, SAFAAI DERIS, MOHD SABERI MOHAMAD, MOHD ADHAM ISA, AFNIZANFAIZAL ABDULLAH, MUHAMMAD AKMAL REMLI, SHAYMA MUSTAFA MOHI-ALDEEN
Abstract:	In this paper, an advance method for multi-objective constraint optimization method of biochemical system production was proposed and discussed in detail. The proposed method combines Newton method, Strength Pareto Evolutionary Algorithm (SPEA) and Cooperative Co-evolutionary Algorithm (CCA). The main objective of the proposed method was to improve the desired production and at the same time to reduce the total of component concentrations involved in producing the best result. The proposed method starts with Newton method by treating the biochemical system as a non-linear equations system. Then, Genetic Algorithm (GA) in SPEA and CCA were used to represent the variables in non-linear equations system into multiple sub-chromosomes. The used of GA was to improve the desired production while CCA to reduce the total of component concentrations involved. The effectiveness of the proposed method was evaluated using two benchmark biochemical systems and the experimental results showed that the proposed method was able to generate the highest results compare to other existing works.
Keywords:	Newton Method, Strength Pareto Evolutionary Algorithm, Genetic Algorithm, Cooperative Co-evolutionary Algorithm, Biochemical System
Source:	Journal of Theoretical and Applied Information Technology 30^th November 2015 -- Vol. 81. No. 3 -- 2015
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Title:	A HYBRID ROI-EMBEDDING BASED WATERMARKING TECHNIQUE USING DWT AND DCT TRANSFORMS
Author:	Osama Hosam, Nadhir Ben Halima
Abstract:	Digital image watermarking is mainly used in copyright protection. We propose block based approach for watermarking images with their own ROI. The algorithm divides the image into 8x8 blocks. DWT transform is applied on each block. The extracted LL of the computed DWT is obtained and DCT is applied on LL to obtain LL-DCT coefficients. The watermark is embedded by changing the sign of LL-DCT coefficients of each block. In this paper we study the block perturbation properties, we found that the block embedding index is inversely proportional to watermark robustness; in addition we found that single 8x8 block can optimally hold single bit by changing the sign of the medium LL-DCT coefficient.
Keywords:	Image Watermarking, Discrete Cosine Transform, Discrete Wavelet Transform, Region of Interest, Embedding, Extraction, Human Visual System.
Source:	Journal of Theoretical and Applied Information Technology 30^th November 2015 -- Vol. 81. No. 3 -- 2015
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Title:	MOVING TARGET LOCALIZATION IN WSNS
Author:	Z.MARY LIVINSA, S.JAYASHRI
Abstract:	An embracing hotchpotch application of wireless sensor networks is tracking or locating the moving target in the surveillance area. In this paper, we have projected an optimization framework using a selective approach algorithm for locating an object and to improve the energy of sensors. By this algorithm, the sensors placed in the region of target alone go to awake mode. So the energy is saved to a large extend which results in better performance in the system. We have estimated the proposed algorithm with existing method of blind source separation methods. By the simulation results, our investigation shows that the proposed algorithm can suggestively progress the energy and accuracy of sensors.
Keywords:	Wireless Sensor Networks, Mobile Target Tracking, Selective Approach Algorithm
Source:	Journal of Theoretical and Applied Information Technology 30^th November 2015 -- Vol. 81. No. 3 -- 2015
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Title:	CORO : GRAPH-BASED AUTOMATIC INTRUSION DETECTION SYSTEM SIGNATURE GENERATOR FOR E-VOTING PROTECTION
Author:	SUPENO DJANALI, BASKORO ADI P., HUDAN STUDIAWAN, RADITYO ANGGORO, HENNING T.C
Abstract:	Attacks on computer network are increasing everyday and most institution use Intrusion Detection System (IDS) to cope with that and most used IDS is the signature-based IDS, which need a database of rules when looking for an malicious packet. Yet there are two problems with this kind of IDS, first, not all people are able to create a signature or rule, therefore they need to wait for updates if they want to renew their database. Secondly, zero-day attack, attack that has never been happened before, is the main weakness of this IDS due to absence of its signature. We proposed Coro, an IDS signature generator that create an IDS rules based on honeypot log data. Coro uses graph clustering that make it be able to cluster data without the need to recompute the centroid. Coro focuses on HTTP, as it will be used to harden our e-voting system, but it is possible to be extended to other protocols. Our experiment showed that Coro was able to cluster around 5000 request in a short time and our graph clustering was a big help to that. Moreover, two threshold value used and data preprocessing in that experiment affected amount and quality of the generated rules.
Keywords:	IDS, Rules Generation, Graph Clustering, E-Voting, Graph Mining
Source:	Journal of Theoretical and Applied Information Technology 30^th November 2015 -- Vol. 81. No. 3 -- 2015
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Title:	SYSTEM IDENTIFICATION MODELING OF ARM REHABILITATION DEVICES
Author:	M.H.JALI, T.A.IZZUDDIN, R.GHAZALI, N.E.S.MUSTAFA, H.I.JAAFAR, H.SARKAWI
Abstract:	In this paper, modeling of the arm rehabilitation device using system identification technique is presented. Patients who have post-stroke may lose control of their upper limb. If they are treated with effective rehabilitation training, the patients can restore their upper limb motion functions and working abilities. These rehabilitation devices are used to recover the movement of arm after stroke. Robot assisted therapy systems need three elements which are algorithms, robot hardware and computer system. An accurate system modelling is crucially important to represent the system well. Inaccurate model could diminish the overall control system later on. The objective of this work is to development mathematical modeling of the arm rehabilitation device by using System Identification from experimental data. Several transfer functions are evaluated in order to choose the best performances that represent the system. It must show a good criteria based on the best fitness percentage, stability of the location of poles and zero and also the frequency response characteristics. The derived model is validated via simulation for stability analysis. It is expected that a stable model with an acceptable level of accuracy would be developed for further control system design.
Keywords:	Post-stroke, Rehabilitation, Transfer function, System identification, Robot assisted
Source:	Journal of Theoretical and Applied Information Technology 30^th November 2015 -- Vol. 81. No. 3 -- 2015
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Title:	INFLUENCES OF PARTS OF TREE ON PROPAGATION PATH LOSSES FOR WSN DEPLOYMENT IN GREENHOUSE ENVIRONMENTS
Author:	AUDA RAHEEMAH, NASEER SABRI, M.S.SALIM, PHAKLEN EHKAN, R. KAMARUDDIN, R. BADLISHAH AHMAD, M.N. JAAFAR, S. A. ALJUNID, M. H. CHEMAT
Abstract:	Radio waves Frequency (RF) propagating in vegetation environments usually facing much higher path loss than in environments those without vegetation. Therefore, well known of the propagation path loss through the vegetation area is critical for communication and sensing of Wireless sensor network (WSN) in such environments. Furthermore, the well known of the elevation of the antenna of the sensor nodes is very important for accurate measurement of the path losses in such environment. This paper presents the impact of each part of trees on WSN signal propagation inside the mango tree greenhouse to elect the appropriate elevation of the antennas. The empirical results show that the foliage affects is high and thus communication losses is higher while lowest losses obtained when nodes located within trunk elevation or less. Thus, the optimum antennas elevation must be within trunk level so that the reliable and higher network connectivity can be achieved.
Keywords:	Path Loss, RF Propagation, Vegetation models, Wireless Sensor Network,
Source:	Journal of Theoretical and Applied Information Technology 30^th November 2015 -- Vol. 81. No. 3 -- 2015
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Title:	IDENTIFYING INFLUENTIAL USER IN TWITTER : ANALYSIS OF TWEET CONTENT SIMILARITY IN WEIGHTED NETWORK
Author:	WARIH MAHARANI
Abstract:	In recent years, Social Network Analysis (SNA) is still growing rapidly. The mapping and measurement of the interaction in SNA can be used in many areas, for example to find the most influential users to improve the marketing strategy in Small and Medium Enterprise (SME). In order to find the most influential users in a network, we can apply the centrality measurement such as degree centrality, betweeness centrality, closeness centrality and eigenvector centrality. In this manner, degree centrality is conceptually the simplest one, which is defined as the number of links incident upon a node. While recent works has focused on number of nodes with the weighting between nodes according to its interaction such as following, followed, mention, retweet and reply. In this study, we investigate the combination of tweet content similarity and the interactions between users in twitter using Opsahl method. In this paper, we compare the proposed method with the baseline system from previous research. The experimental result show that the tweet content similarity affect the result of the most influential user in comparison with existing method.
Keywords:	Social Network Analysis (SNA), Centrality Measurement, Degree Centrality, Betweeness Centrality, Closeness Centrality, Eigenvector Centrality, Opsahl Method
Source:	Journal of Theoretical and Applied Information Technology 30^th November 2015 -- Vol. 81. No. 3 -- 2015
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Title:	REAL POWER GENERATION TRACING FOR DEREGULATED POWER SYSTEM USING THE FLOWER POLLINATION ALGORITHM TECHNIQUE
Author:	S. H. M. KERTA, Z. A. HAMID, I. MUSIRIN
Abstract:	In deregulated power market, providing a fair and non-discriminatory service pricing is still in debate on ‘who should be blame’ for the losses contribution. The use of traditional methods such as postage stamp and MW mile methodology is said to be unreliable and biasing because of neglecting the power flow and physical constraints. Thus, a new theory called electricity tracing has been developed to solve the problem concerning non-discriminatory tranmission service pricing. The most common methods used are Proportional Sharing Principle (PSP) and Superposition Theorem (ST). However, due to necessity of matrix inversion and singularity of matrix in the mathematical equation, it is likely an error will occur and result in unsatisfactory outputs. To explore a new method, this paper demonstrates an Artificial Intelligence (AI) based optimization method, that is, Flower Pollination Algorithm (FPA) to perform real power generation tracing. The experiment and comparative studies on IEEE-14 bus power system have verified the capability of the proposed method for real system application with promising results.
Keywords:	FPA, Generation Tracing, Losses Allocation, Matrix Inversion, Proportional Sharing Principle
Source:	Journal of Theoretical and Applied Information Technology 30^th November 2015 -- Vol. 81. No. 3 -- 2015
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Title:	AN ADVANCED COMPARATIVE STUDY OF THE MOST PROMISING NOSQL AND NEWSQL DATABASES WITH A MULTI-CRITERIA ANALYSIS METHOD
Author:	OMAR HAJOUI, RACHID DEHBI, MOHAMMED TALEA, ZOUHAIR IBN BATOUTA
Abstract:	Big data usually includes data sets with sizes beyond the ability of commonly used software tools to capture, curate, manage, and process data within a tolerable elapsed time[1].Big data "size" is a constantly moving target, as of 2012 ranging from a few dozen terabytes to many petabytes of data. Big data is a set of techniques and technologies that require new forms of integration to uncover large hidden values from large datasets that are diverse, complex, and of a massive scale [2]. Currently, there are a hundred solutions to the problem of Big Data that can be classified into three categories: NoSQL databases, NewSQL and Search-based systems. One of the major problems often mentioned is the heterogeneity of the languages and the interfaces they oﬀer to developers and users. Diﬀerent platforms and languages have been proposed, and applications developed for one system require signiﬁcant eﬀort to be migrated to another one [3]. Our motivation to write this article is to make a comparative study of Big Data systems, this is our first step to design and implement concrete and effective solution to the interoperability problem between Big Data systems. However, this study will help the professionals in decision-making.
Keywords:	Big Data Analysis, NoSQL Databases, NoSQL Databases Categories, NewSQL Databases, Multi-Criteria Analysis Method (ROC).
Source:	Journal of Theoretical and Applied Information Technology 30^th November 2015 -- Vol. 81. No. 3 -- 2015
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Title:	PERFORMANCE ENHANCEMENT OF A THREE DIMENSIONAL OCDMA SYSTEMS BASED ON A NEW CODE
Author:	RASIM AZEEZ KADHIM, HILAL ADNAN FADHIL, S.A. ALJUNID, MOHAMAD SHAHRAZEL RAZALLI
Abstract:	In this paper, we propose a three dimensional (3-D) codes namely 3-D perfect difference/ multi diagonal (3-D PD/MD) code for spectral/time/spatial optical code division multiple access (OCDMA) system based on the perfect difference and multi diagonal codes. The multi-access interference (MAI) is fully eliminated in the receiver based on this code. The system performance is analyzed mathematically based on the proposed code under the consideration of the receiver noises, and compared with the systems of , 2-D perfect difference (2-D PD), 2-D diluted perfect difference (2-D DPD) and 3-D perfect difference (3-D PD) code. The proposed code reduces the receiver noises by reducing the receiver complexity to 50% of the 3-D PD code. In addition to that, the mathematical results shows that the 3-D PD/MD code system can accommodate more active users at a bit error rate (BER) of (10-9) and data rates of 0.622Gbps and 1.25Gbps. Hence, the proposed system can be more applicable than the former 3-D PD code.
Keywords:	Optical Code Division Multiple Access (OCDMA), Perfect Difference (PD) Codes, Phase-Induced Intensity Noise (PIIN).
Source:	Journal of Theoretical and Applied Information Technology 30^th November 2015 -- Vol. 81. No. 3 -- 2015
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Title:	A NEURO-FUZZY INFERENCE SYSTEM FOR THE EVALUATION OF READING/WRITING COMPETENCIES ACQUISITION IN AN E-LEARNING ENVIRONNEMENT
Author:	YOUSSEF AIT OUGUENGAY, NOUR-EDDINE EL FADDOULI, SAMIR BENNANI
Abstract:	In the field of education, the evaluation of learning is one of the most important operations through the learning process. The evaluation concern arises in a more enhanced way in online learning environment given the significant reduction in direct contact of the tutor with the learners. In this paper, we address the specific problem of educational assessment of reading/writing competencies acquisition in amazigh language, based on the interactions of learners with an assessment test which consists of different items and served in a LMS platform. An online model based on artificial intelligence techniques, specifically multi-input–multi-output adaptive neuro-fuzzy inference System noted also CANFIS for co-active ANFIS, is proposed. The training and testing data, generated from the study of the curricula and the referential framework, are presented to the designed system for the optimization of inference engine parameters. Results of training and testing the system show an acceptable accuracy of learning.
Keywords:	Evaluation, Competency, Co-active ANFIS, Inference System, Machine Learning, E-learning.
Source:	Journal of Theoretical and Applied Information Technology 30^th November 2015 -- Vol. 81. No. 3 -- 2015
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Title:	MULTI-CRITERIA ANALYSIS AND ADVANCED COMPARATIVE STUDY BETWEEN AUTOMATIC GENERATION APPROACHES IN SOFTWARE ENGINEERING
Author:	ZOUHAIR IBN BATOUTA, RACHID DEHBI, MOHAMMED TALEA, OMAR HAJOUI
Abstract:	New development methods have emerged in recent years. These techniques are based on models and software components, they aim to facilitate integration, automation, and generation of complex applications, as well as mapping between different platforms based on forward and reverse engineering. These approaches are based on Model Driven Engineering (MDE) which separates the business logic of an application from the technology used to achieve it. This paper aims to provide a best understanding of MDE aspects and presents a comparative study between different approaches of software development automation and code generation, in addition a big contribution of this article is to present the forces and weaknesses of each approach based on a multi-criteria analysis method, this is our first step to design and implement concrete and effective solutions for automatic generation issues, Moreover, this study will also help the professionals in decision-making by facilitating the choice of The best approach to be used according to desired criteria and their importance. Our article goes into a global objective that aims automating the generation.
Keywords:	Model Driven Engineering (MDE), Forward Engineering, Reverse Engineering, Software Development Automation, Code generation.
Source:	Journal of Theoretical and Applied Information Technology 30^th November 2015 -- Vol. 81. No. 3 -- 2015
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Title:	TREND DETECTION IN THE ARABIC SOCIAL MEDIA USING VOTING COMBINATION
Author:	ALI SABAH ABDULAMEER, SAIDAH SAAD, LAILATUL QADRI ZAKARIA
Abstract:	The amount of information has been increasing tremendously, especially with the use of social media applications, such as Twitter, Facebook, and YouTube. Twitter is a common social application that enables users to share their current thoughts and actions, comment on breaking news, and engage in discussions. Trends are typically driven by emerging events, breaking news, and general topics that attract the attention of a large fraction of Twitter users. Thus, trend detection is highly valuable to news reporters and analysts because they may point to fast-evolving news stories. Researchers have been attempting to detect trends using machine-learning techniques, such as clustering method based on major languages (e.g., English, German, and French). The Arabic language remains in its infancy, but the Arabic social media have been contributing to a large amount of data because of the significant events in the Middle East. The present research aims to detect trends in the Arabic social media. However, this research must overcome several issues such as processing of Arabic user-generated content and lack of resources. To solve these issues, this research presents a voting combination clustering approach, which is divided into six phases, namely, dataset collection from Twitter, text pre-processing, spam filtering using Naïve Bayes, feature selection based on term frequency–inverse document frequency and entropy, statistical analyses, and evaluation. Three statistical approaches for clustering are used, namely, co-occurrence, k-means, and voting combination. The analyses are performed to classify the trends into three categories, namely, Arabic nationality events, personal events, and other events. Experimental results indicate that the voting combination clustering achieved 93%, 87%, and 90% for precision, recall, and f-measure in trend detection, respectively. Finally, trend detection of events is important to companies, governments, national security agencies, and journalists to develop strategies to rectify them.
Keywords:	Trend detection, Arabic social media, Term Clustering, K-means and Voting Combination.
Source:	Journal of Theoretical and Applied Information Technology 30^th November 2015 -- Vol. 81. No. 3 -- 2015
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