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Journal of Information and Communication Technology (JICT) Vol. 15, No1, June 2016

THE PERFORMANCE COMPARISON OF THIRD GENERATION (3G) TECHNOLOGIES FOR INTERNET SERVICES IN BANGKOK
Sanon Chimmanee & Suttisak Jantavongso
Rangsit University, Thailand
sanon.s@rsu.ac.th; suttisak.j@rsu.ac.th
 
ABSTRACT Ɩ FULL TEXT
Like other countries, users in Thailand demand to experience the highest possible level of quality of 3G services. In contrast, operators prefer to obtain maximum revenue. To facilitate these needs, this paper proposes two conceptual frameworks for (1) performance testing (QoS measurement) and (2) network optimization. The network optimization framework consists of KPI definition, network performance monitoring, parameter tuning, and optimized network processes; while the network performance monitoring process contains (1) traffic measurement (operator’s side) and (2) QoS measurement (user’s side). Operators need these information for the network performance monitoring to support the parameter tuning process and for user satisfactions. In this study, the latency tests, user data rates, and speed tests were the QoS measurements used to compare the performance of three Thai major 3G network operators; and 850/900MHz and 2100MHz bands in Bangkok. In terms of user satisfactions, the QoS measurements revealed that TrueMoveH offered the better performance in the user data rates; while AIS was the better in the latency tests. The speed tests were spitted between DTAC and TrueMoveH. Finally, the study identified that 3G services on 2100MHz performed better than 850/900MHz.
 
Keywords: 3G, Network Optimization, Network Performance Monitoring, Parameter Tuning, QoS.
 

 
INTERACTIVE INTERNET-BASED DISASTER RISK INFORMATION SYSTEM FOR TSUNAMI-HIT ACEH PROVINCE OF INDONESIA
Nasaruddin, Ardiansyah & Khairul Munadi
Syiah Kuala University, Indonesia
 
ABSTRACT Ɩ FULL TEXT
Aceh is facing not only tsunami threats, such as the 2004 Indian Ocean Tsunami that caused massive devastation to the region, but also other natural disasters, such as earthquakes, landslides and volcanic eruptions. One of the factors that can contribute to reducing disaster is the availability and accessibility of risk knowledge. This knowledge is essential to keep people aware and well prepared to face impending disasters. This study proposes an interactive internet-based disaster risk management information system (DRMIS) for the Aceh province. The DRMIS serves as an online disaster risk map as well as a tool for communicating risk knowledge. An iterative approach to designing, developing and implementing the system is introduced. The DRMIS, which is currently accessible online, and its features, are described. The proposed system offers interactive display of four thematic maps, covering hazards, vulnerability, capacity and disaster risk of the most common natural hazards in Aceh.
 
Keywords: Interactive maps, disaster information, DRMIS; internet-based service, disaster risk maps.
 

 
GF-CLUST: A NATURE-INSPIRED ALGORITHM FOR AUTOMATIC TEXT CLUSTERING
¹Athraa Jasim Mohammed, ²Yuhanis Yusof & ²Husniza Husni
¹University of Technology, Baghdad, Iraq
²Universiti Utara Malaysia, Malaysia
s94734@student.uum.edu.my; yuhanis@uum.edu.my; husniza@uum.edu.my
 
ABSTRACT Ɩ FULL TEXT
Text clustering is a task of grouping similar documents into a cluster while assigning the dissimilar ones in other clusters. A well-known clustering method which is the K-means algorithm is extensively employed in many disciplines. However, there is a big challenge to determine the number of clusters using K-means. This paper presents a new clustering algorithm, termed Gravity Firefly Clustering (GF-CLUST) that utilizes Firefly Algorithm for dynamic document clustering. The GF-CLUST features the ability of identifying the appropriate number of clusters for a given text collection, which is a challenging problem in document clustering. It determines documents having strong force as centers and creates clusters based on cosine similarity measurement. This is followed by selecting potential clusters and merging small clusters to them. Experiments on various document datasets, such as 20Newgroups, Reuters-21578 and TREC collection are conducted to evaluate the performance of the proposed GF-CLUST. The results of purity, F-measure and Entropy of GF-CLUST outperform the ones produced by existing clustering techniques, such as K-means, Particle Swarm Optimization (PSO) and Practical General Stochastic Clustering Method (pGSCM). Furthermore, the number of obtained clusters in GF-CLUST is near to the actual number of clusters as compared to pGSCM.
 
Keywords: Firefly algorithm, text clustering, divisive clustering, dynamic clustering.
 

 
TWO-DIMENSIONAL CELLULAR AUTOMATON MODEL TO SIMULATE PEDESTRIAN EVACUATION UNDER FIRE-SPREADING CONDITIONS
¹ Omar Khair Alla Alidmat, ²Ahamad Tajudin Khader & ²Fadratul Hafinaz Hassan
¹ Al al-Bayt University Jordan
² Universiti Sains Malaysia, Malaysia
okaara14_com045@student.usm.my; tajudin@usm.my; fadratul@usm.my
 
ABSTRACT Ɩ FULL TEXT
A pedestrian evacuation under fire-spreading conditions is simulated by using a two-dimensional cellular automaton model. The proposed model presents a non-static fire-spreading behavior to avoid considerable discrepancies between reality and simulation. The proposed model adopts a circular fire front shape based on spiral fire movement. Moreover, four dynamic parameters are introduced to simplify the decision-making process of a pedestrian’s movement inside the layout during fire spreading. In addition, the proposed model includes the number of victims (i.e., caught in the fire) and the number of pedestrians who were evacuated safely. By analyzing these variables, a suitable evacuation plan enabling the control of crowd movements in different situations such as fire disasters can be consequently designed.
 
Keywords: Cellular automaton, pedestrian simulation, circular fire front shape, spiral fire movement.
 

 
NUWT: JAWI-SPECIFIC BUCKWALTER CORPUS FOR MALAY WORD TOKENIZATION
¹Juhaida Abu Bakar, ²Khairuddin Omar ²Mohammad Faidzul Nasrudin & ²Mohd Zamri Murah
¹ Universiti Utara Malaysia, Malaysia
²Universiti Kebangsaan Malaysia, Malaysia
 
ABSTRACT Ɩ FULL TEXT
This paper describes the design and creation of a monolingual parallel corpus for the Malay language written in Jawi. This paper proposes a new corpus called the National University of Malaysia Word Tokenization (NUWT) corpora To the best of our knowledge, currently, there is no sufficiently comprehensive, well-designed standard corpus that is annotated and made available for the public for the Jawi script corpora. This corpus contains the Jawi-specific Buckwalter character code and can be used to evaluate the performance of word tokenization tasks, as well as further language processing. The objective of this work is to conform and standardize the corpora between similar characters in Jawi. It consists of three subcorporas with documents from different genres. The gathering and processing steps, as well as the definition of several evaluation tasks regarding the use of these corpora, are included in this paper. One of the important roles and fundamental tasks of the corpus, which is the tokenization, is also presented in this paper. The development of the Malay language tokenizer is based on the syntactic data compatibility of Malay words written in Jawi. A series of experiments were performed to validate the corpus and to fulfill the requirement of the Jawi script tokenizer with an average error rate of 0.020255. Based on this promising result, the token will be used for the disambiguation and unknown word resolution, such as out-of-vocabulary (OOV) problem in the tagging process.
 
Keywords: Malay corpora, word tokenization, regular expression, Buckwalter character code.
 

 
THE FUSION OF EDGE DETECTION AND MATHEMATICAL MORPHOLOGY ALGORITHM FOR SHAPE BOUNDARY RECOGNITION
¹Mahmod Othman, ² Sharifah Lailee Syed Abdullah, ³Khairul Adilah Ahmad, ² Mohd. Nazari Abu Bakar & ³Ab. Razak Mansor
¹Universiti Teknologi Petronas, Malaysia
² Universiti Teknologi MARA, Perlis, Malaysia
³Universiti Teknologi MARA, Kedah, Malaysia
 
ABSTRACT Ɩ FULL TEXT
Edge detection is important in image analysis to form the shape of an object. Edge is the boundary between different textures, which helps with object segmentation and recognition. Currently, several edge detection techniques are able to identify objects but are unable to localize the shape of an object. To address this problem, this paper proposes a fusion of selected edge detection algorithms with mathematical morphology to enhance the ability to detect the object shape boundary. Edge detection algorithm is used to simplify image data by minimizing the amount of pixel to be processed, whereas the mathematical morphology is used for smoothing effects and localizing the object shape using mathematical theory sets. The discussion section focuses on the improved edge map and boundary morphology (EmaBm) algorithm as a new technique for shape boundary recognition. A comparative analysis of various edge detection algorithms is presented. It reveals that the LoG’s edge detection embedded in EmaBM algorithm performs better than the other edge detection algorithms for fruit shape boundary recognition. Implementation of the proposed method shows that it is robust and applicable for various kind of fruit images and is more accurate than the existing edge detection algorithms.
 
Keywords: Image processing, edge detection, mathematical morphology, edge map, shape boundary recognition, mango images.
 

 
DESIGNING INFORMATION VISUALIZATION FOR HIGHER EDUCATION INSTITUTIONS: A PRE-DESIGN STUDY
Semiu Ayobami Akanmu & Zulikha Jamaluddin
Universiti Utara Malaysia, Malaysia
ayobami.sm@gmail.com; zulie@uum.edu.my
 
ABSTRACT Ɩ FULL TEXT
The multidimensionality of students’ data and the limitations of the currently-used data management tools in higher education institutions (HEIs) have been identified as causes of constrained decision-making process in the domain. This, therefore, necessitates a pre-design study for the HEI students’ data-focused InfoVis. The objectives of this study are to identify the prevailing practices of HEI data management, the data analytics methods that are generally employed by HEI data analysts and the comprehensive dimensions that are related to HEI students and adequate for conveying the domain explicit knowledge preferences. A mixed method approach with survey questionnaire and interview as data collection methods, is used. The contributions of this study, among others, are: (i) identification of the pattern and relationship of the domains explicit knowledge preferences; and (ii) the elicitation and description of students’ data dimensions. These are expected to form the basis for the choice and implementation of the content delivery techniques in designing the domain-focused InfoVis. Our future works therefore entail developing the HEI InfoVis conceptual framework, designing the HEI students’ data-focused InfoVis and conducting its users’ experimental evaluation.
 
Keywords: Information visualization; pre-design study; data-driven decision making; multidimensional datasets; higher education institutions.
 

 
COMPARISON OF MCDM METHODS FOR INTERCROP SELECTION IN RUBBER PLANTATIONS
Chutiphon Srisawat & Janjira Payakpate
Naresuan University, Thailand
ole13th@nu.in.th; janjirap@nu.ac.th
 
ABSTRACT Ɩ FULL TEXT
This paper describes research undertaken on the use of multi-criteria decision making (MCDM) techniques for decision making in the agricultural sector, specifically in rubber plantations. Data about land quality, nutrient levels, intercropping plantings and crop rotation can be analyzed to enable effective decision-making for the sustainable development of agricultural land. One primary factor in the achievement of high crop production levels is the abundance of nutrients in the soil. By evaluating the fertility of the soil, and analyzing the level and constituents of soil nutrients, the suitability of the land for the needs of particular plants can be determined. Crop rotations, and particularly intercropping practices and plant types, can be effectively planned to balance soil nutrient use. Wrong or poor choices in these practices can significantly affect the main crop, with the associated negative economic consequences. The objective of this research was to compare the use of three multi-criteria decision making methods for their effectiveness in providing decision criteria for choosing intercrop plants among rubber trees in plantations. The three methods include (1) the analytic hierarchy process (AHP), (2) the technique for order preference by similarity to ideal solution (TOPSIS), and (3) simple additive weighting (SAW). The AHP method was shown to be the most appropriate decision making approach for this purpose.
 
Keywords: Analytic hierarchy process, intercrop plant, multi criteria decision making.
 

 
A HIGH PERFORMANCE UCON AND SEMANTIC-BASED AUTHORIZATION FRAMEWORK FOR GRID COMPUTING
¹Maizura Ibrahim, ² Hamidah Ibrahim, ² Azizol Abdullah & ² Rohaya Latip
¹ Malaysian Nuclear Agency, Malaysia
² Universiti Putra Malaysia, Malaysia
maizura@nm.gov.my; hamidah.ibrahim@upm.edu.my;
azizol@upm.edu.my; rohayalt@upm.edu.my
 
ABSTRACT Ɩ FULL TEXT
Authorization infrastructures are an important and integral part of grid computing which facilitate access control functions to protect resources. This paper presents an authorization framework that combines the usage control (UCON) model with semantic web technology. To our knowledge, an authorization framework that combines both the UCON and semantic web technology in one framework has not yet been previously proposed. As the UCON model combines traditional access control, trust management and digital rights management in a grid authorization infrastructure, its adoption enhances the capability of the authorization. However, UCON-based authorization presents a problem in controlling the policy granularity and minimizing the authorization overhead due to complexity in the policies inherited from the UCON model. The growing number of users and resources in the grid makes this problem even worse. We use the semantic web technology to provide a way to automatically manage the rules in the policies, hence keeping the granularity under control. To minimize the authorization overhead, a new mechanism to reduce the number of policy checks is proposed in this paper. Our simulation result shows that the proposed mechanism provides a 63% reduction in rule checking compared to previous methods.
 
Keywords: Grid computing, UCON, security policy, ontology, semantic web, grid authorization.
 

 
PERFORMANCE COMPARISON OF PID TUNING BY USING ZIEGLER-NICHOLS AND PARTICLE SWARM OPTIMIZATION APPROACHES IN A WATER CONTROL SYSTEM
¹Zahratul Laily Edaris & ² Syariza Abdul-Rahman
¹ Polytechnic Sultan Abdul Halim Muadzam Shah, Malaysia
² Universiti Utara Malaysia, Malaysia
laily_78@yahoo.com; syariza@uum.edu.my
 
ABSTRACT Ɩ FULL TEXT
Tuning the gain of Proportional-Integral-Derivative (PID) controller in a process control system is exceptionally paramount since correct tuning would help a control process response without steady state error and overshoot. As the conventional gain tuning of PID controller, the Ziegler-Nichols (ZN) approach generally delivers an enormous overshoot; therefore, current heuristics approach, namely Particle Swarm Optimization (PSO) is utilized. A tuning problem of a single tank water level dynamic control system is presented. The best PID controller parameters are determined by using the ZN and PSO approaches. Comparisons of process time performance and the performance measurement of the system are made in order to evaluate both approaches in terms of their step response through the MATLAB/Simulink platform. The results demonstrate that the PSO approach produces promising results with lower overshoot compared to the ZN approach. It is found that the PSO approach would be advantageous for the industries related to single tank water control system for a better PID gain tuning.
 
Keywords: Particle Swarm Optimization, PID Controller, Ziegler-Nichols, single tank water level.

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