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Journal of Information and Communication Technology (JICT) Vol. 11, 2012

CHAOS SEARCH IN FOURIER AMPLITUDE SENSITIVITY TEST
Masato Koda
University of Tsukuba
1-1-1 Tennodai, Tsukuba Science City
1-1-2 305-8577, Japan
 
ABSTRACT FULL TEXT
Work in Artificial Intelligence (AI) often involves search algorithms. In many complicated problems, however, local search algorithms may fail to converge into global optimization and global search procedures are needed. In this paper, we investigate the Fourier Amplitude Sensitivity Test (FAST) as an example of a global sensitivity analysis tool for complex, non-linear dynamical systems. FAST was originally developed based on the Fourier series expansion of a model output and on the assumption that samples of model inputs are uniformly distributed in a high dimensional parameter space. In order to compute sensitivity indices, the parameter space needs to be searched utilizing an appropriate (space-filling) search curve. In FAST, search curves are defined through learning functions, selection of which will heavily affect the global searching capacity and computational efficiency. This paper explores the characterization of learning functions involved in FAST and derives the underlying dynamical relationships with chaos search, which can provide new learning algorithms. This contribution has proven the general link that exists between chaos search and FAST, which helps us exploit the ergodicity of chaos search in AI applications.
 
Keywords: Fourier amplitude sensitivity test (FAST), global sensitivity analysis, chaos search, artificial intelligence (AI).
 

 
A MIXED INTEGER LINEAR PROGRAMMING MODEL FOR REAL-TIME TASK SCHEDULING IN MULTIPROCESSOR COMPUTER SYSTEM
Samuel Adeboyo Oluwadare
Department of Computer Science
Federal University of Technology,
Akure, Nigeria
 
Basil Oluwafemi Akinnuli
Department of Mechanical Engineering
Federal University of Technology,
Akure, Nigeria
 
ABSTRACT FULL TEXT
There has been an upsurge in real-time multimedia applications in recent time. On a network, the ability of an average uniprocessor computer to handle such data may be limited due to the large size of such data. Also, there may be a high number of concurrent users who may want to retrieve data and the need to process them in real-time; and in continuous stream. This may lead to low quality service and deadline misses. The advent of multi-processor systems offers a more efficient way of processing multimedia data in real-time. With the development of appropriate scheduling algorithm, another challenge is the mode of assigning tasks in multi-processor systems. This calls for the use of an appropriate mathematical model that will take cognizance of the nature of variables involved. In this research work, a Mixed Integer Linear Programming Model (MILP) was developed to assign tasks in a multiprocessor system. The MILP model was used to assign tasks to multi-processor systems ranging between 5 and 10 homogenous processors. The result of the simulation runs shows that with the appropriate scheduling algorithm, a high success rate ratio and guaranteed number of deadlines met could be achieved.
 
Keywords: Task scheduling, multiprocessor systems, multimedia, genetic algorithms, simulation.
 

ARTIFICIAL FISH SWARM OPTMIZATION FOR MULTILAYERNETWORK LEARNING IN CLASSIFICATION PROBLEMS
1Shafaatunnur Hasan, 2Tan Swee Quo, 3Siti Mariyam Shamsuddin and 4Roselina Sallehuddin
Soft Computing Research Group (SCRG),Universiti Teknologi Malaysia, Skudai, Johor
 
ABSTRACT FULL TEXT
Nature-Inspired Computing (NIC) has always been a promising tool to enhance neural network learning. Artificial Fish Swarm Algorithm (AFSA) as one of the NIC methods is widely used for optimizing the global searching of ANN. In this study, we applied the AFSA method to improve the Multilayer Perceptron (MLP) learning for promising accuracy in various classification problems. The parameters of AFSA: AFSA prey, AFSA swarm and AFSA follow are implemented on the MLP network for improving the accuracy of various classification datasets from UCI machine learning. The results are compared to other NIC methods, i.e., Particle Swarm Optimization (PSO) and Differential Evolution (DE), in which AFSA gives better accuracy with feasible performance for all datasets.
 
Keywords: Artificial neural network, artificial fish swarm algorithm, classification problems.
 


IMPLEMENTATION AND VALIDATION OF AN ADAPTIVE FECMECHANISM FOR VIDEO TRANSMISSION
1Osman Ghazali and 2Nur Ziadah Harun
School of Computing, UUM College of Arts and Sciences, Universiti Utara Malaysia
 
ABSTRACT FULL TEXT
This research focuses on investigating the FEC mechanism as an error recovery over a wireless network. The existing adaptive FEC mechanism faces a major drawback, which is the reduction of recovery performance by injecting too many excessive FEC packets into the network. Thus, this paper proposes the implementation of an enhanced adaptive FEC (EnAFEC) mechanism for video transmission together with its validation process. There are two propositions in the EnAFEC enhancement, which include block length adaptation and implementation, and suitable smoothing factor value determination. The EnAFEC adjusts the FEC packets based on the wireless network condition so that excessive FEC packets can be reduced. The proposed enhancement is implemented in a simulation environment using the NS-2 network simulation. The simulation results show that EnAFEC generates less FEC packets than the other types of adaptive FEC (EAFEC and Mend FEC). In addition, a validation phase is also conducted to verify that the proposed enhancement is functioning correctly, and represents a real network situation. In the validation phase, the results obtained from the simulation are compared to the outputs of the other adaptive FEC mechanisms. The validation results show that the mechanism is successfully implemented in NS2 since the number of packet loss falls under the overlapping confidence intervals.
 
Keywords: Forward error correction, automatic repeat request, video transmission, smoothing factor, blocks length adaptation, validation.
 

 
A HYBRID FUZZY-MONTE CARLO SIMULATION APPROACH FOR ECONOMICAL ASSESSMENT OF THE IMPACT OF ERP TECHNOLOGY
Ferdinand Murni Hamundu
School of Computer Sciences
Universiti Sains Malaysia
Penang
ferdinandmurni@gmail.com
 
Satriyo Wibowo
School of Business Management
Institut Teknologi Bandung, Indonesia
satriyowibowo@sbm-itb.ac.id
 
Rahmat Budiarto
InterNetWorks Research Group
UUM College of Arts and Sciences
Universiti Utara Malaysia
rahmat@uum.edu.my
 
ABSTRACT FULL TEXT
Enterprise Resource Planning (ERP) is believed to be able to support the effectiveness of a business process of either goods or services through reliability of information flow among the different function areas of multiple business units. Many managers know this benefit, but they are still vacillating to decide to invest an ERP in their structure. This vacillation comes from considerations of budget and uncertainty or risk of economic constraints. Therefore, taking into account the ERP contribution or impact both of tangible and intangible values through cost and benefit analysis is essential for the success of this project. In this paper, we will reveal how the factor of cost and benefit in an economical assessment can be applied to the ERP investment plan. The expected increase of market share due to customer satisfaction is determined in expressions of information cycle time and quality between customers and suppliers by using a Fuzzy rule-based system. Furthermore, a Monte-Carlo simulation method is used to consider such uncertainties in calculating the expected net present value (NPV).
 
 
Keywords: Enterprise resource planning, cost-benefit analysis, economical assessment, fuzzy rule-based system, monte-carlo simulation.
 

 
HOSPITAL PERCEPTION OF A CRM SYSTEM: A STUDY OF CRITICAL FACTORS IN PRIVATE HOSPITALS IN MALAYSIA
1Khalid Rababah, 2Haslina Mohd and 3Huda Hj. Ibrahim
School of Computing, UUM College of Arts and Sciences, Universiti Utara Malaysia
 
ABSTRACT FULL TEXT
The aim of this study was to identify the factors that might influence perception about the benefits of a Customer Relationship Management (CRM) system, and the direction of this influence in private hospitals in Malaysia. Three factors (innovation, organizational, and environmental factors) were identified as influencing perception about the benefits of a CRM system. The study deployed a quantitative research approach, using a questionnaire to collect data. Private hospitals in the northern part of Malaysia were selected using the area sampling method and convenience sampling, and the management of the hospitals became the target respondents. For the survey, the research questionnaire was distributed to the sample of the study and each respondent was given a month to complete the questionnaire. The collected data was analyzed using Backward Multiple Regression Analysis. The results revealed that innovation and environmental factors had a positive significant relationship on perception, while the organizational factor had a significant negative relationship. The results are expected to help the decision makers of hospitals to better plan for the adoption and implementation of CRM systems. In addition, it will benefit the vendors of CRM systems toward a better understanding of the needs of hospitals to be able to expand their market in the healthcare industry.
 
Keywords: Customer relationship management, CRM system, perception, innovation.
 

 
WOMEN IN OPEN SOURCE SOFTWARE INNOVATION PROCESS: WHERE ARE THEY?
1Musyrifah Mahmod and 2Zulkhairi Md Dahalin
School of Computing, UUM College of Arts and Sciences, Universiti Utara Malaysia
 
ABSTRACT FULL TEXT
The Open Source Software (OSS) Innovation process is no more a foreign face in the software development community as it is increasingly being used as a platform for modern software innovation both in the commercial and software research community. Although the concept of freedom is mostly prominent with the OSS innovation process, less than 2% of the contributors are women in this male dominated area. Minorities, including women, are often ignored in its process. This paper presents the case of lack of participation from women in the OSS innovation process. Lack of participation and contributions from women in OSS innovation creates an imbalanced population in the OSS based knowledge demography and an unbalanced proportion of gender distribution. Based on a comprehensive review, this paper aims to suggest a Constructivist-Technofeminist-OSS Innovation Process framework for understanding female contributions in OSS innovation, not only from a singular point of technical view, but also from social constructivist and feminist perspectives.
 
Keywords: Open source software, technofeminist, SCOT, female developers.
 

 
BALANCED CONTENT ALLOCATION SCHEME FOR PEERSERVICE AREA CDN ARCHITECTURE FOR IPTV SERVICES
Suliman Mohamed Ahmad Gaber
Multimedia Research Group
Universiti Sains Malaysia
 
Putra Sumari
Head of Multimedia Research Group
Universiti Sains Malaysia
 
Rahmat Budiarto
Network Research Group
Universiti Sains Malaysia
 
ABSTRACT FULL TEXT
One of the main problems in IPTV technology is how to manage the huge amount of multimedia contents efficiently to meet the demands of users especially for Video on Demand (VoD) services. Content Distribution Networks (CDN) are used to solve this problem but the problem of load imbalance among servers still exists due to the dynamic changes in contents and user interests in an IPTV environment. In the VoD context, many content storage management architecture models are proposed: single point, hierarchal, distributed, and service peer area architectures. In the this paper we choose peer-service area architecture for CDN to study the load imbalance problem and try to handle it by modifying peer-service area architecture and proposing a balanced content allocation scheme that solves the load imbalance problem by replicating the contents based on their popularity. Experimental results show that this proposed allocation scheme can maintain the load balancing among servers and avoid over/under utilization of servers.
 
Keywords: IPTV, CDN, content allocation, peer-service area architecture, content popularity, load imbalance, balanced content allocation, VOD.
 

 
NOISE ROBUSTNESS OF FIRST FORMANT BANDWIDTH (F1BW) FEATURES IN MALAY VOWEL RECOGNITION
1Shahrul Azmi Mohd Yusuf, 3Nor Idayu Mahat and 4Fadzilah Siraj
School of Computing, UUM College of Arts and Sciences, Universiti Utara Malaysia
 
Sazali Yaacob
Universiti Malaysia Perlis
 
ABSTRACT FULL TEXT
Applications that use vowel phonemes require a high degree of vowel recognition capability. The performance of speech recognition application under adverse noisy conditions often becomes the topic of interest among speech recognition researchers regardless of the languages in use. In Malaysia, there are an increasing number of speech recognition researchers focusing on developing independent speaker speech recognition systems that use the Malay language which is noise robust and accurate. This paper present a study of noise robust capability of an improved vowel feature extraction method called First Formant Bandwidth (F1BW). The features are extracted from both original data and noise-added data and classified using three classifiers; (i) Multinomial Logistic Regression (MLR), (ii) K-Nearest Neighbors (K-NN) and Linear Discriminant Analysis (LDA). The results show that the proposed F1BW is robust towards noise and LDA performs the best in overall vowel classification compared to MLR and K-NN in terms of robustness capability, especially with signal-to-noise (SNR) above 20dB.
 
Keywords: Malay vowels, spectrum envelope, speech recognition, noise robustness.
 

 
KNOWLEDGE INTERNALIZATION IN PAIR PROGRAMMING PRACTICES
1Mawarny Md. Rejab, 2Mazni Omar and 3Mazida Ahmad
School of Computing, UUM College of Arts & Sciences, Universiti Utara Malaysia
 
Khairul Bariah Ahmad
School of Multimedia Technology & Communication, UUM College of Arts & Sciences, Universiti Utara Malaysia
 
 
ABSTRACT FULL TEXT
Pair programming practice has been widely used as a pedagogical approach in educational setting specifically in the programming course. Most pair programming studies agree that this practice can foster knowledge sharing among students. However, the studies do not highlight knowledge internationalization during pair programming practice. Therefore, this paper will discuss knowledge internalization based on tacit knowledge that occurs from knowledge sharing activities in pair programming practices. This is achieved by employing the process of Socialization, Externalization, Combination, and Internalization (SECI) in the form of learning, thinking and decision-making skills among the students. 119 participants were actively engaged in the pair programming practice in this study. The participants were required to answer questionnaires, which were adapted from the SECI model to suit the educational context. Statistical t-test was used to analyse the data. The results showed that pair programming was able to promote knowledge internationalization in the thinking process. This study contributes to a better understanding of important knowledge sharing activities to construct student’s skills during the internalization process through pair programming. Future works will be focused into a rigorous theoretical framework for constructing tacit knowledge among the students in pair programming environment.
 
Keywords: Pair programming, knowledge sharing, internalization, tacit knowledge.
 

 
REQUIREMENTS MANAGEMENT TOOL ELEMENTS FOR THE MALAYSIAN SOFTWARE INDUSTRY
Azida Zainol
School of Computing, UUM College of Arts and Sciences, Universiti Utara Malaysia
 
Sa’ad Mansoor
School of Computer Science
Bangor University, Dean Street,
LL57 1UT Bangor, Gwynedd,
United Kingdom
 
ABSTRACT FULL TEXT
Developing quality software is becoming a challenge that requires the practitioners to employ appropriate techniques, methodologies and good practices in software engineering. In the Malaysian software industry, the challenges are the practitioners lack practice in software engineering especially in the requirements management practices, and the requirements management tool is not widely facilitated during software development projects. In order to encourage them to overcome these problems, this paper attempts to recommend a requirements management tool that embeds the best practices in managing requirements. In addition, this paper aims to investigate the elements of the tool to guarantee that the tool is appropriate for Malaysian software needs. Then, a comparative study is carried out to search for various available requirements management tools that have those elements. The results show that there is no specific tool that has all the elements to fit the Malaysian software needs. Therefore, it is essential to develop a requirements management tool that is able to assist the software practitioners in developing quality software.
 
Keywords: Software engineering, requirements engineering, requirements management, requirements management tool, automating requirements management activities.
 

 
DYNAMIC REPLICATION STRATEGY BASED ON EXPONENTIAL MODEL AND DEPENDENCY RELATIONSHIPS IN DATA GRID
1Yuhanis Yusof, 2Mohamed 3Madiand 3Suhaidi Hassan
School of Computing, UUM College of Arts and Sciences, Universiti Utara Malaysia
 
ABSTRACT FULL TEXT
Data grid is an infrastructure that manages huge amounts of data files, and provides intensive computational resources across geographically distributed collaboration. In order to speed up the data access and reduce bandwidth consumption, data grid replicates essential data in multiple locations. This paper studies the data replication strategy in data grid, taking into account the exponential growth/decay of data files and the dependency relationships between them. Simulation results (via OptorSim) show that the proposed strategy outperformed existing work in the measured metrics – mean job execution time, effective network usage and average storage usage.
 
Keywords: Grid computing; data grid; data replication; exponential model; dependency level.
 

 
ACCESS CONTROL LIST CONFIGURATION TO BLOCK ANTI CENSORSHIP SOFTWARE IN HIGHER EDUCATION INSTITUTIONS IN MALAYSIA
1Baharudin Osman, 2Azizi Abas and 3Osman Ghazali
School of Computing, UUM College of Arts and Sciences, Universiti Utara Malaysia
 
Kamal Harmoni
Kedah Industrial Skills and Management Development Centre, Malaysia
 
ABSTRACT FULL TEXT
Anti-censorship software was originally developed to fight internet censorship in China. A anti-censorship software such as UltraSurf, Freegate, Gpass, GTunnel and FirePhoenix became popular with stubborn users who used the Internet for their own purposes and disobeyed the organization’s policies. Statistics show that Facebook, and YouTube are ranked as the most popular websites used by college students in Malaysia. Since they are widely used by users in the local area network to bypass firewall policies, they have become a threat to the LAN organization. Hence, it causes a problem for network administrators who manage internet utilisation and enforce internet policies. For an organisation, uncontrolled internet usage leads the open system to be vulnerably to viruses, backdoor, non-productivity activities and slow internet connections. Thus, this study proposes a strategy to filter and block traffic created by anti-censorship software in LAN. The method used in this project is the “design computer security experiment”. Therefore, this project will guide the network administrator to control internet utilisation, protect the organisation’s LAN and carry out the implementation of the internal organization’s internet policies. As a result, this paper has proposed a strategy to block the UltraSurf anti-censorship software. The proposed strategy was tested in several public and private higher education institutions.
 
Keywords: Anti-censorship, block traffic, UltraSurf.

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