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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
February 2017 | Vol. 95 No.4

Title:	4X4 CIRCULAR PATCH PHASED ARRAY FOR AIRBORNE APPLICATIONS
Author:	U.SRINIVASA RAO, P.SIDDAIAH
Abstract:	This paper concentrates on design, modeling, simulation and performance analysis of a Microstrip Line Quarter Wave Transformer-fed 4x4 Circular Patch phased array. The substrate material RTDuorid5880 used for this has thickness of 1.588mm and relative permittivity (εr) is 2.2. The design frequency is 2GHz and VSWR ≤ 2. The proposed 4x4 Circular Patch phased array is modeled and simulated by using ANSOFT HFSS 15.0. The gain of this array is 16.963 dB with return loss of -24.91dB. The phased array is steered for 100, 200, 300, 420 and 450 with a bandwidth of 31.9 MHz. This proposed Phased array is very useful for L band airborne applications such as satellite navigation, mobile wireless communication, radar and telemetry, tracking, and command (TTC) for mini satellites.
Keywords:	Quarter Wave Transformer, RTDuorid5880, Circular Patch, Return Loss.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2017 -- Vol. 95. No. 4 -- 2017
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Title:	A SUITABILITY ANALYSIS OF ELEMENTARY SCHOOLS - BASED GEOGRAPHIC INFORMATION SYSTEM (GIS) A CASE STUDY OF MUKALLA DISTRICTS IN YEMEN
Author:	WALEED LAGRAB, NOURA AKNIN
Abstract:	Equitable-spatial distribution is a significant component of urban planning which should be guided by sustainable development strategies. This paper presents the suitability analysis for elementary school (ES) in Mukalla city; it measures the accessibility of educational services, and the different between the residential requirements and supply offered of ES. It has also proposed a GIS model based on suitability analysis to figure out the suitable location for a new ES and the alternative site for existing ESs, to make it more suitable. The results have shown that overall districts have suffered a shortage of schools. As well as spatial inequity in services provision. It would also be inappropriate distribution because its proximity from land uses (i.e. Fuel station, highway, industrial area) which pose a risk to the health and safety of pupils.
Keywords:	Spatial Distribution, Suitability Analysis, Equitable, proper location, Elementary School.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2017 -- Vol. 95. No. 4 -- 2017
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Title:	CONCEPTUAL MODEL FOR CLOUD ERP ADOPTION FOR SMES
Author:	KHAMIS HAJI SALUM, MOHD ZAIDI ABD ROZAN
Abstract:	The Small and Medium Enterprise industry is experiencing a major transformation towards cloud ERP systems. These systems can organize, and maintain data remotely, accept a pay-as-you- use method and enhance related information through a cloud computing platform. Hence, this makes the cloud ERP system crucial for their sustainability and enables them to become competitive in the market. However, the adoption rate of cloud ERP among Small and Medium Enterprises (SMEs) has been recorded as slightly low compared to other enterprise systems like Customer Relationship Management. This could be attributed to unclear adoption factors among SMEs and the lack of a theoretical model that can enhance the predictive power to adopt a cloud ERP system. To address this gap, the objective of this study is to develop a conceptual model by which to investigate the broad factors which influence or inhibit the adoption of cloud ERP, the model based on TOE, DOI and FVM. Thus, this model intends to help SMEs managers understand and increase predictive capacity on cloud ERP adoption. The model has been constructed using four dimensions, namely; task, technology, organization and environmental. Findings from this study are projected to be able to instruct SMEs decision-makers on the factors that will lead to successful adoption. The proposed model will be a critical lens for decision-makers on cloud ERP adoption.
Keywords:	Cloud Computing Adoption, Cloud ERP Adoption, TOE framework, DOI, VFM
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2017 -- Vol. 95. No. 4 -- 2017
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Title:	ENERGY AND DELAY REDUCTION ALGORITHM FOR CLUSTER BASED CONGESTION CONTROL IN WIRELESS SENSOR NETWORKS
Author:	C.J.RAMAN, DR.VISUMATHI JAMES
Abstract:	In Wireless Sensor Networks (WSN), delay has be reduced in delay sensitive applications at cost of increased energy consumption, since there is a tradeoff between delay and energy consumption in WSN. But most of works in WSN focus on reducing the energy rather than the delay. Hence the main aim of this work is to reduce both the delay and energy consumption in delay sensitive applications of WSN. In this paper, an efficient energy and delay reduction technique for cluster based congestion control model is proposed. In this technique, the cluster head (CH) is elected based on the energy level of the node. Each cluster member transmit the data and its remaining energy information to the corresponding cluster head as per the given time slot schedule. The delay in data transmission can be reduced by adaptively adjusting the active mode of the node based on the congestion status and distance of node. By simulation results, we show that the proposed technique reduces the energy consumption and delay of highly loaded sensor nodes.
Keywords:	WSN, Energy, Congestion, Cluster, Delay Reduction
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2017 -- Vol. 95. No. 4 -- 2017
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Title:	OPTIMIZATION OF TRAFFIC SIGNAL TIMING ON ROAD NETWORK USING CELLULAR AUTOMATA AND FUZZY INFERENCE SYSTEM
Author:	E.B. SETIAWAN, D. TARWIDI, R.F. UMBARA, S.N. KUDRAT
Abstract:	The large number of vehicles in big cities has become a serious problem in adjusting the timing of traffic signal at intersections of road networks. Traffic light control is an important factor in road traffic system. In this paper, optimization of traffic signal timing at signalized intersections on road network is presented. The movement of vehicles on road network is modeled by cellular automata while the fuzzy inference system is used to obtain optimal traffic signal timing. The performance of fuzzy inference system is determined by the delay time average at signalized intersections. Delay time is addition time required by a vehicle to pass through signalized intersection compared to road without intersection. Cellular automata and fuzzy inference system are running together through computer simulation program. The optimal signal timing from the simulation is compared to fixed time or static scheme which is obtained from historical data of six signalized intersections in Bandung City, Indonesia. The numerical results show that traffic signal duration obtained from fuzzy inference system is more efficient than the existing historical data of observation and it can reduce the level of congestion. The simulation results also show that the traffic signal timing can adjust with the number of incoming and outgoing of vehicles at the intersections on road network. The results can be suggested to the local government to improve the traffic signal system.
Keywords:	Optimization, Traffic Signal Timing, Road Network, Fuzzy Inference System, Cellular Automata
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2017 -- Vol. 95. No. 4 -- 2017
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Title:	AGENT-BASED MODELING OF TAG-BASED COOPERATION IN MOBILE ENVIRONMENT
Author:	NOR EFFENDY OTHMAN, ROSILAH HASSAN
Abstract:	Building on a review of cooperation enforcement in mobile ad hoc networks and tag-based cooperation literature in [1] and the design of mobility-aware tag-based cooperation enforcement approach [2], this article will forward the research by describing the process of building a generic model to test and evaluate the proposed approach for tag-based cooperation in mobile environment. The generic model is an agent-based model. Therefore, this article will begin by introducing agent-based modeling and describing the tools that can be used to develop agent-based models and explains the design of agent-based model for tag-based cooperation in mobile environment. The evaluation of the agent-based model is presented and discussed.
Keywords:	Agent-Based Modeling, Tag-Based Cooperation, Mobile Environment.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2017 -- Vol. 95. No. 4 -- 2017
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Title:	TWINS MULTIMODAL BIOMETRIC IDENTIFICATION SYSTEM WITH ASPECT UNITED MOMENT INVARIANT
Author:	BAYAN OMAR MOHAMMED, SITI MARIYAM SHAMSUDDIN
Abstract:	In the field of pattern recognition twin’s biometric identification is currently a popularly studied subject. In some situations, the mechanism of twins’ biometric Identification leads to the finding a distinctive pattern of a person’s biometric. Correspondingly, there has been considerable improvement made on the Unimodal biometric identification to identify identical twins with respect to its accuracy and reliability, with some traits that show sound performance. However, owing to great level of similarity, it is much more challenging to identify Identical twins as opposed to identifying non-twins. In order to deal with this problem, the application of more than one biometric trait is proposed; the Multimodal biometric system. Meanwhile, in pattern recognition it is crucial to extract and select features that are meaningful. This brings the attention to the major issue in twin handwriting-fingerprint identification: how to obtain features from numerous writing and styles twin handwriting-fingerprint so that the right person between twins can be reflected. Hence, the Aspect United Moment Invariant is proposed in this study as extraction of feature with identical twin multi-biometric identification.
Keywords:	Twin Multi-biometric, Global feature, Identification, Individuality, Aspect United Moment Invariant.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2017 -- Vol. 95. No. 4 -- 2017
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Title:	DAILY STREAMFLOW PREDICTION ON TIME SERIES FORECASTING
Author:	AHMAD FIRDAUS KHAIR, MOHD KHALID AWANG, ZAHRATUL AMANI ZAKARAIA, MUNIRAH MAZLAN
Abstract:	Time series forecasting is a process that used present or past data to develop models for future prediction or trends. Stream flow prediction is considered as a challenging research activity because of its irregularity and unpredictable behavior. Researches have put their efforts and strategies in upgrading and improving the accuracy of streamflow analysis prediction. In this paper, time series forecasting using WEKA is used, analyzed and compared based on the following three algorithms, which are SMO Regression, Linear Regression and Multilayer Perception. The result shows that the SMO Regression algorithm provides better ability to predict more accurately compared to other algorithms.
Keywords:	Streamflow forecasting, SMO Regression, Linear Regression and Multilayer Perception
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2017 -- Vol. 95. No. 4 -- 2017
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Title:	GRADUATION-PROJECT MANAGEMENT SYSTEM: A SOCIAL NETWORK ANALYSIS PERSPECTIVE
Author:	HAYA EL-GHALAYINI, MOHAMMED ABU-ARQOUB, GHASSAN ISSA, AHMAD F. SHUBITA
Abstract:	This paper presents a web-based graduation-project management system that utilizes project-based and networked learning methods. The system is developed using Moodle open source platform that employs social constructivism learning theory. The main objective of this system is to manage and control activities such as submission of project deliverables, grading, evaluation, announcements, and supplementary course material along with facilitate an efficient communication between the many participants in the graduation project course including: students, supervisors, mentors, examiners and graduation project committee members. While students can organize their deadline submissions with less effort, supervisors and graduation project committee can track and monitor students’ transactions instantaneously. To highlight the advantages of using a web-based graduation-project system a Social Network Analysis is applied to study the interactions messages amongst all participants using cohesion measures including density and centrality. The results of analyzing the learning network of the graduation project system show that students interact and communicate as active learners while the system can assist supervisors and other participants in coordinating and managing the processes of the graduation project course.
Keywords:	Constructivism Learning Theory, Project-Based Learning, Networked Learning, Social Network Analysis.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2017 -- Vol. 95. No. 4 -- 2017
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Title:	ENHANCED BORDER GATEWAY PROTOCOL IN NS- 2 BY ADDING THE HOT POTATO FUNCTIONALITY BASED ON REAL NETWORK
Author:	SAMI ABBAS NAGAR, SULAIMAN MOHD NOR, MOHAMED SAAD BOBA
Abstract:	The rapid growth of the Internet has made the issue of ensuring reliability and redundancy a big challenge. Studies of these issues using Traffic Engineering and simulation have been extensively done. There has been substantial interest from researchers in the development and contribution of modules in NS-2. Most studies have not taken into account real traffic parameters in their simulation models. Also, there is no comprehensive model consisting of Border Gateway Protocol (BGP) and Hot Potato (HP) routing in the NS-2 network simulator based on real networks. In this paper, Integrated Model is introduced consisting of HP algorithm and BGP integrated into the NS-2 network simulator. The integrated model is then used to simulate the infrastructure of a real production network using actual captured traffic data parameters. The network is modeled with a baseline topology where 5 main nodes were connected together, with redundant links for some nodes. The simulations were repeated for link failures. HP helps in improving the node which experiences a link failure to select shorter distance route to egress router. In the case of a link failure, HP switching time between the links is 0.05 seconds. The integrated model performance was evaluated by comparing trace file before and after link failure or by adding nodes (up to 32). The parameters used for comparison are the packets loss, delay and throughput. The integrated model error percentage obtained for packets loss is 0.025%, delay 0.013% and throughput 0.003%.
Keywords:	BGP, HP, NS-2, Packet loss, Delay, Throughput.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2017 -- Vol. 95. No. 4 -- 2017
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Title:	IMPROVED ERROR REDUCED EXTREME LEARNING MACHINE (IERELM) CLASSIFIER FOR BIG DATA ANALYTICS
Author:	B. RAJENDRAN, Prof (Dr.) SARAVANAN VENKATARAMAN
Abstract:	Nowadays the term ‘Big Data Analytics’ has been talked everywhere due to the advancement of information technology, evolution of computer applications, mobile communications and much more. This paves the way for doing lot of research in this big data arena. It is common to known that classification is one among the thrust research dimension in the field of big data particularly in the field of data analytics. Machine learning algorithms have lot of scope on analytics; particularly extreme learning machine is a kind of feed-forward neural network that is commonly applied for performing classification task. This machine learning ELM algorithm has single layer hidden nodes with randomly assigned weights for connecting with hidden layer. It is to be noted that feed-forward neural networks in extreme learning machine are poor in updating the weights that leads to performance degradation. Computational complexity is certainly more when applying ELM for big data analytics. This part of doctoral research work inclines high motivation for improving the performance of ELM in terms of reducing the error and we named it as Improved Error Reduced ELM shortly coined as IERELM. The performance of the proposed IERELM mechanism is applied for performing the classification task in KDD Cup 99 multivariate dataset that contains 40,00,020 instances with 42 attributes. Obtained results portrays that the proposed IERELM performs better in terms of detection rate, false alarm rate and elapsed time to perform classification.
Keywords:	Big Data, HACE Theorem, Classification, Extreme Learning Machine, KDD Cup Data Set, Neural Networks.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2017 -- Vol. 95. No. 4 -- 2017
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Title:	DETECTION OF BURR TYPE III RELIABLE SOFTWARE USING SPRT: AN ORDER STATISTIC APPROACH
Author:	K.SOBHANA, Dr. R. SATYA PRASAD, Dr. R. KIRAN KUMAR
Abstract:	The acceptance of a software system depends on its reliability. Assessing reliability takes more time using classical hypothesis as the volume of data increases day by day. The volumes of data can be transformed using order statistics. Order statistics deals with applications of ordered random variables and functions of these variables. Sequential Analysis of Statistical science is very quick in deciding the reliability or unreliability on developed software. The method adopted is, Sequential Probability Ratio Test (SPRT) for continuous monitoring of the software. The likelihood based SPRT proposed by Wald is very general and it can be used for many different probability distributions. In this paper, the mean value function of Burr type III distribution based on Non-Homogenous Poisson Process (NHPP) with Order statistics and Sequential Probability Ratio Test is applied to analyze the results. Maximum Likelihood Estimation (MLE) is used to derive the unknown parameters of mean value function
Keywords:	Order Statistics, Software Reliability, Sequential Probability Ratio Test, Burr Type III, Maximum Likelihood Estimation
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2017 -- Vol. 95. No. 4 -- 2017
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Title:	FUZZY AND NON-FUZZY APPROACHES FOR DIGITAL IMAGE CLASSIFICATION
Author:	MOHAMMED DIYKH, YAN LI
Abstract:	This paper classifies different digital images using two types of clustering algorithms. The first type is the fuzzy clustering methods, while the second type considers the non-fuzzy methods. For the performance comparisons, we apply four clustering algorithms with two from the fuzzy type and the other two from the non-fuzzy (partitonal) clustering type. The automatic partitional clustering algorithm and the partitional k-means algorithm are chosen as the two examples of the non-fuzzy clustering techniques, while the automatic fuzzy algorithm and the fuzzy C-means clustering algorithm are taken as the examples of the fuzzy clustering techniques. The evaluation among the four algorithms are done by implementing these algorithms to three different types of image databases, based on the comparison criteria of: dataset size, cluster number, execution time and classification accuracy and k-cross validation. The experimental results demonstrate that the non-fuzzy algorithms have higher accuracies in compared to the fuzzy algorithms, especially when dealing with large data sizes and different types of images. Three types of image databases of human face images, handwritten digits and natural scenes are used for the performance evaluation.
Keywords:	Clustering Algorithms, Fuzzy Clustering, C-Means Clustering, K-Means Clustering, Partitional Clustering.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2017 -- Vol. 95. No. 4 -- 2017
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Title:	IMPROVING THE EFFICIENCY OF MULTI-COLOR LEDS DISPLAY SYSTEM USING THE IMPROVED PWM TECHNIQUE ON FPGA
Author:	K. MATEUR, R. ELGOURI , M. ALAREQI1, A. Mezouari, H. Dahou, L. HLOU.
Abstract:	Light Emitting diode (LED) video displays are future of large-area display market. Their scale, their durability and their ability to produce an attractive video in ambient light conditions, make them the favorable screens in all display systems. To increase the light quality of LED displays, it is necessary to improve the techniques that control the light variations while keeping stable energy consumption. This technique has become a major objective in the design of such displays systems. This paper presents a comparative study between two techniques to control brightness levels of LED displays, the first technique controls by varying direct current amplitude (DC), the second by varying the duty cycle of the current square wave with fixed amplitude (PWM). The paper also proposes an improved PWM solution, which is based on the approximation of the PWM curve to the DC curve in order to have the luminous efficiency as the last one. The demonstration is presented as a serial of mathematical calculations to choose the intermediate point and build low-cost hardware algorithm for this new method. The performance of this method is studied experimentally using the FPGA design and is compared with the PWM method.
Keywords:	LED, Display systems, Display driver, PWM, FPGA, Grayscale, multiplexing LEDs,
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2017 -- Vol. 95. No. 4 -- 2017
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Title:	DATA ACQUISITION AND DISCRETIZATION FOR FLOOD CORRELATION MODEL
Author:	NOR IDAYU AHMAD AZAMI, NOORAINI YUSOFF, KU RUHANA KU-MAHAMUD
Abstract:	Flood is among the natural disasters caused by complex factors such as natural, breeding, and environmental. Moreover, the variability of such factors on multiple heterogeneous spatial scales may cause difficulties in finding correlation or association between regions under study. The interaction between these factors may result in the provision of either diverse or repeated information, which can be detrimental to prediction accuracy. Therefore, in this study, a model has been developed to find the association between the factors that cause flood. In particular, a Bayesian Network-based method is proposed to quantify the dependency patterns in spatial data. It has been shown that although many factors may be important with respect to the flood for a particular region, the same factors may not be important for other regions. The probabilistic model has been successfully used in problems in which the dependency between the factors is of interest. Furthermore, the effect of the proposed fuzzy discretization on the association performance has also been investigated. The comparison between different data discretization techniques proved that the proposed method gives a better result with the precision of 0.992, F-measure of 0.980, and receiver operating characteristic of 0.984 for three correlation models, respectively.
Keywords:	Natural Disaster, Bayesian Network, Spatial Data Mining, Fuzzy Discretization
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2017 -- Vol. 95. No. 4 -- 2017
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Title:	OPTIMIZATION OF 60-GHZ DOWN-CONVERTING CMOS DUAL-GATE MIXER USING ARTIFICIAL BEE COLONY ALGORITHM
Author:	HAMID BOUYGHF, BACHIR BENHALA, ABDELHADI RAIHANI
Abstract:	In this article, we present an application of the Artificial Bee Colony (ABC) Algorithm for the optimal design of RF analog circuit designed to the telecommunication systems. This work illustrates down-conversion CMOS mixer with high conversion gain and improved Noise Figure (NF). After a presentation of the used algorithm, an application the optimum sizing of a dual-gate mixer (DG-MOSFET) is introduced. The proposed mixer converts input radio frequency signal of 60GHz to frequency output signal of 10GHz. The local oscillator frequency is 50GHz and a local oscillator power considered at 0dBm. The conversion gain of this mixer is -1.87dB and noise is 0.97dB. The results are validated by simulation under ADS and compared with already published works.
Keywords:	Optimization, ABC Algorithm, DG-MOSFET, Frequency Mixer, CMOS 45nm.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2017 -- Vol. 95. No. 4 -- 2017
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Title:	PREDICTIVE EVALUATION OF PERFORMANCE OF COMPUTER SCIENCE STUDENTS OF UNNES USING DATA MINING BASED ON NAIVE BAYES CLASSIFIER (NBC) ALGORITHM
Author:	ENDANG SUGIHARTI, SAFIT FIRMANSYAH, FEROZA ROSALINA DEVI
Abstract:	Predictive evaluation is essential in order to map the performance of students from the Department of Computer Science of Mathematics and Natural Sciences Faculty of Universitas Negeri Semarang (UNNES), a state university in Semarang, Indonesia and graduation of students in a timely manner can also be predicted. This predictive evaluation can be seen by making a system based on the algorithm of Naïve Bayes Classifier (NBC). The data were taken from the performance of students which is the GPA from the 1st semester up to the 4th semester. The problem is how to predict the success of students in Computer Science Department of UNNES to graduate on time based on the performance of students from the 1st semester to the 4th semester? The main purpose of this research is to produce a system based on NBC algorithm that is able to predict the success of students to finish the study on time based on the performance of the students which is the GPA of the 1st semester to the 4th semester. To resolve this problem, the research divided into two stages of completion. The first stage was the literature review. This stage has been conducted by the researchers. The second stage determined the prediction of Computer Science student achievement using the method of NBC. This stage including (1) Data Collection, (2) Build a data mining system, (3) Data Processing, (4) Conducting the process of prediction, and (5) Analysis of Results. Based on the calculations of NBC that has been carried out, it can be concluded that 85% of students will graduate on time. The use of NBC will be better when more training data.
Keywords:	Data Mining, Naïve Bayes Classifier, Predictive Evaluation, students performance
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2017 -- Vol. 95. No. 4 -- 2017
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Title:	HYBRIDIZING INVASIVE WEED OPTIMIZATION WITH FIREFLY ALGORITHM FOR UNCONSTRAINED AND CONSTRAINED OPTIMIZATION PROBLEMS
Author:	HYREIL A KASDIRIN, N. M. YAHYA, M. S. M. ARAS, M. O. TOKHI
Abstract:	This study presents a hybrid invasive weed firefly optimization (HIWFO) algorithm for global optimization problems. Unconstrained and constrained optimization problems with continuous design variables are used to illustrate the effectiveness and robustness of the proposed algorithm. The firefly algorithm (FA) is effective in local search, but can easily get trapped in local optima. The invasive weed optimization (IWO) algorithm, on the other hand, is effective in accurate global search, but not in local search. Therefore, the idea of hybridization between IWO and FA is to achieve a more robust optimization technique, especially to compensate for the deficiencies of the individual algorithms. In the proposed algorithm, the firefly method is embedded into IWO to enhance the local search capability of IWO algorithm that already has very good exploration capability. The performance of the proposed method is assessed with four well-known unconstrained problems and four practical constrained problems. Comparative assessments of performance of the proposed algorithm with the original FA and IWO are carried out on the unconstrained problems and with several other hybrid methods reported in the literature on the practical constrained problems, to illustrate its effectiveness. Simulation results show that the proposed HIWFO algorithm has superior searching quality and robustness than the approaches considered.
Keywords:	Hybrid algorithm, invasive weed optimization, firefly algorithm, unconstrained problem, practical design problem.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2017 -- Vol. 95. No. 4 -- 2017
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Title:	TOWARDS AN AUTOMATIC EVALUATION OF UML CLASS DIAGRAMS BY MEASURING GRAPH SIMILARITY
Author:	ANAS OUTAIR, MARIAM TANANA, ABDELOUAHID LYHYAOUI
Abstract:	We discuss in this article, the problem of analyzing the student's productions during the construction of a UML class diagram from textual specifications. The main objective is to propose a method for evaluating the diagrams built by students in an automatic way. To reach this goal, we have to analyze student productions, and we study the work related to processing, matching, similarity measure and comparison of several UML graphs. From this study, we adopted a method based on the comparison and matching components of several UML diagrams. This proposal is applied to assess the UML class diagrams and focuses on the structural and semantic aspects of the UML graph to match
Keywords:	Learner assessment, UML class diagram, UML graphs matching, similarity measure.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2017 -- Vol. 95. No. 4 -- 2017
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Title:	CONTEXT-AWARE SOFTWARE SYSTEMS: TOWARD A DIAGRAMMATIC MODELING FOUNDATION
Author:	SABAH AL-FEDAGHI
Abstract:	Over the last three decades, research in the area of context-aware computing has involved many different prototypes, systems, and solutions. Context-aware computing is concerned with the acquisition of context, the abstraction and understanding of context, and application behavior based on recognized context. One of the challenges of context-aware computing is difficulty in rethinking of domain models. The problem discussed in this paper is how to model a “context” and how this model influences the design of information system software. In the software development life cycle, this problem falls in the phase of requirements analysis and design. This paper proposes a new approach to modeling “context” in the design of information systems, using flow-based diagrams that could play a role in the design of context-aware systems.
Keywords:	Context awareness, conceptual model, information system design, diagrammatic modeling language
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2017 -- Vol. 95. No. 4 -- 2017
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Title:	ANALYZING THE BENEFIT OF IMPLEMENTING INTEGRATED DGPS AND TERMINAL OPERATING SYSTEM AT YARD TERMINAL SURABAYA
Author:	AMIN JAMAL, RIYANARTO SARNO, HARI GINARDI
Abstract:	Differencial Global Positioning System (DGPS) is a enhancement of the available publicly Global Positioning System (GPS) to increase its accuracy. GPS function to determine an object location in the earth’s surface by using orbiting satellites. Terminal Operating System (TOS) is the core application used by container terminal for both for planning, monitor and execute the containers movement from truck to yard, yard to truck, truck to vessel and vessel to truck using heavy lifting equipment (called Container Handling Equipment – CHE). In most cases, DGPS implementation within TOS for automatic container tracking will contributed significantly to reduce operating cost, therefore, this research analyze the benefit of this implementation. The author use balanced scorecard approach as performance metrics to define, measure and analyze the benefits of implementing the integration between DGPS and TOS by comparing the results before and after the implementation . The benefits of the implementation can be explained by reducing Truck Round Time(TRT) by 38.17 % compared year 2016 to that of year 2013. Box Container per Hour (BCH) increase 16.67 %, whereas operating cost decrease 3.3% compared year to that of year 2013.
Keywords:	DGPS, GPS, TOS, Container, TRT, BCH.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2017 -- Vol. 95. No. 4 -- 2017
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Title:	ADVANCED ENERGY RESOURCE UTILIZATION IN ADHOC NETWORKS BASED ON CWA-CD
Author:	SUMAN KUMAR KAUNDINYA, Dr. P. SANYASI NAIDU
Abstract:	Ad hoc methods have complete self planning and self-configuring capabilities, that needs no current program features or management. Hypothetically TCP happens to be a transport-layer technique designed to provide a efficient end-to-end submission of data over untrustworthy methods. But actually TCP actions some complications in multi hop ad hoc methods especially direction issues. To address this problem previously an improved TCP technique to cope with direction issues using discussion identification using obstruction window difference (CWA–CD) methods is designed and used. Although it's efficiency is appropriate its incapability to consider node versatility as a part to cope with direction issues is a cause for issue. So for a effective and better program efficiency we suggest to use a choose and focus on forwarder a history requirements that controls node versatility part along with CWA–CD methods. The requirements contains ongoing up-dates of location information for every small-time periods of time and steps to sort out the delivering history that helps connections. A realistic performance of the recommended program validates the declare in terms of efficiency.
Keywords:	Overlay Network, Resource Allocation, Round-Trip Time, Congestion, Tcp Protocol.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2017 -- Vol. 95. No. 4 -- 2017
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Title:	STATISTICAL ANALYSIS OF SENSED DATA OF ENVIRONMENTAL CHANGES USING WIRELESS SENSOR NETWORKS
Author:	OMAR FOUAD MOHAMMED, BURAIRAH HUSSIN, ABD SAMAD HASAN BASARI
Abstract:	The wide potentials of Wireless Sensor Networks (WSNs) technology make it the best solution for sensing the surrounding environment and to monitor physical and phenomenal conditions. Indoor environmental monitoring is well-known application of WSN. Most of the systems proposed in literature are concerned with the detection and tracking of an object or an event in two-dimensional plane. This paper presents a statistical analysis of the aggregated sensed data that reporting about a dynamic event happened in an indoor environment. It helps to infer the development of the dynamic event in three-dimensional space. It is important to know the size of the area where a dynamic event, such as fire or gas leak, has occurred in order to take proper safety measures and prevent undesirable consequences. The results of the analysis are validated through simulation experiments, which in turn, verify the theoretical concept presented in this paper.
Keywords:	Wireless Sensor Networks (WSN), Environmental Phenomenon Monitoring, Event Detection, Event Tracking, Aggregated Data Analysis.
Source:	Journal of Theoretical and Applied Information Technology 28^th February 2017 -- Vol. 95. No. 4 -- 2017
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