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Journal of Information and Communication Technology (JICT) Vol. 4, 2005

AN EMPRICAL STUDY OF THE INTENTION TO USE ELECTRONIC GOVERNMENT IN MAJLIS PERBANDARAN SEBERANG PRAI, PENANG
*Ruslan R., **Umi, K. S., ***Noornina, D. and ****Norazuwa, M.
*Faculty of Management of Technology, Universiti Utara Malaysia
**Seberang Perai Municipal Council
***School of Management, Universiti Sains Malaysia
****Faculty of Human & Social Development,
Universiti Utara Malaysia
 
ABSTRACT FULL TEXT
Electronic government now is leading to changes the way of life of community. For example, it results in improvements in the delivery of government services. Electronic government is designed to facilitate community interaction with government (G2C), which is what literatures perceive to be the primary goal of e-government. This paper reports the results of a survey intention to use government to community websites with technology acceptance model (TAM), administered by questionnaires to 137 respondents among Internet user at Majlis Perbandaran Seberang Prai (MPSP), Penang. The results shows that 4.5% (R square = 0.045) of the variances in intention to use G2C websites index can be explained by perceived usefulness (PU) and perceived ease of use (PEU). And 15.9% (R square = 0.159) of the variances in PU of G2C websites can be explained by PEU. Theoretically, this study has extended the usage of TAM towards e-government wings, in helping to understand and explain intention to use in G2C websites’ implementation in Malaysia’s context.
 
Keywords: Electronics government, technology acceptance model, perceived usefulness, perceived ease of use.
 

 
MODELLING NEW SUCCESS CRITERIA FOR PROJECTS IN THE ICT INDUSTRY
G. Udechukwu Ojiako, **David J. Greenwood and **D. Eric Johansen
*British Telecom, Hadrian Building, No. 2 Melbourne Street,
Newcastle-upon-Tyne, NE12JQ, UK.
**School of the Built Environment, Northumbria University,
Ellison Place, Newcastle—upon-Tyne,NE1 8ST, UK.
E-mail: udechukwu.ojiako@bt.com
E-mail: david.greenwood@unn.ac.uk
E-mail: eric johansen@unn.ac.uk
 
ABSTRACT FULL TEXT
With spending for computer and networking hardware, software and services projected to exceed a trillion pounds by 2005, the potential for greater involvement of ICT in the creation of organisation wealth could be hampered by an extremely high rate of project failures in ICT industry projects. The poor performance of the ICT industry in deploying its products has been demonstrated in numerous press reports. This paper reviews general knowledge on ICT project failure and proposes a hypothesis. The hypothesis states that “the high rate of reported failures of ICT industry has been caused by the industry continuing to measure its success and failure rates based on in-appropriate criteria which fails to consider the industry’s peculiar characteristics and the impact of ICT on organisational strategy”.  A model that demonstrates this definition is developed from available literature.
 
Keywords: Success Criteria, ICT Projects, Failure.
 

 
RECOGNITION DECISION-MAKING MODEL USING TEMPORAL DATA MINING TECHNIQUE
* N. M. Norwawi, * K. R. Ku-Mahamud, and **S. Denis
*Department of Computer Science,
Faculty of Information Technology,
Universiti Utara Malaysia,
06010 Sintok, Kedah, Malaysia.
**Department of Software Engineering,
Faculty of Computer Science & Information Science,
Universiti Tehnology Malaysia,
83130 Skudai, Johor, Malaysia.
E-mail : nmn@uum.edu.my, ruhana@uum.edu.my and safaai@fsksm.utm.my
 
ABSTRACT FULL TEXT
An accurate and timely decision is crucial in any emergency situation. This paper presents a recognition decision making model that adopts the temporal data mining approach in making decisions. Reservoir water level and rainfall measurement were used as the case study to test the developed computational RPD (recognition-primed decision) model in predicting the amount of water to be dispatched represented by the number of spillway gates. Experimental results indicated that new events can be predicted from historical events. Patterns were extracted and can be transformed into readable and descriptive rule based form.
 
Keywords: Naturalistic decision making, recognition decision-making, temporal data mining, rapid decision.
 


A SURVEY ON THE CURRENT PRACTICES OF SOFTWARE DEVELOPMENT PROCESS IN MALAYSIA
*Fauziah Baharom, **Aziz Deraman and **Abdul Razak Hamdan
*Faculty of Information Technology, Universiti Utara Malaysia
06010 Sintok, Kedah, Malaysia
**Faculty of Technology and Information. Science,
University Kehangsaan Malaysia
43600 Bangi, Selangor, Malaysia
Email: fauziah @ u um.edu. my
Email: a.d@pkrisc.cc.ukm.my
Email: arh @ftsm.ukm.my
 
ABSTRACT FULL TEXT
Software quality is becoming increasingly important as our society becomes more dependent on computers. The required levels of quality are not likely to be achieved without giving proper attention to the software development process. Many studies regarding the practices of software development process have been carried out. The focus of these studies is mainly to examine the effectiveness of the practices. Most of studies were conducted in the United States, European countries, India, Japan and are very limited in Asian countries especially in Malaysia. In the view of that, we have carried out a study on the current practices of software development process in Malaysia. In this paper, we have analyzed and discussed the results found from the study. The structured questionnaire approach was used for data collection. The data was analyzed by using basic statistical techniques such as frequency and cross-tabulation. The
results of this study have laid out some important points regarding the practices of the software development process in Malaysia. In addition, most of the practitioners were pursuing practices that have been traditionally used by the organizations. Lack of awareness in using good software development practices could be a key factor that contributes to the occurrence of quality problems in the organizations. Consequently, the results of this study have given us a good incentive to prolong our research in the area of software process certification.
 
Keywords: Software development practice, software quality, CASE tools and software testing.
 

 
APPLICATION OF ARTIFICIAL NEURAL NETWORKS IN THE CLASSIFICATION OF CERVICAL CELLS BASED ON THE BETHESDA SYSTEM
*Nor Ashidi Mat Isa, *Mohd Yusoff Mashor, **Nor Hayati Othman, *Kamal Zuhairi Zamli
*Control and Electronic Intelligent System (CELTS) Research Group,
School of Electrical & Electronic Engineering, Universiti Sains Malaysia,
Engineering Campus, 14300 Nibong Tebal, Penang, Malaysia.
**Deputy Dean and Professor of Pathology, School of Medical Sciences,
Universiti Sains Malaysia, Health Campus,
16150 Kubang Kerian, Kelantan, Malaysia
Tel: +604-5937788 ext. 6051, Fax: +604-5941023,
E-mail: ashidi@eng.usm.my
Tel: +604-5937788 ext. 6013, Fax: +604-5941023,
E-mail: yusof @eng.usm.my
Tel: 604-5937788 ext 6079, Fax: +604-5941023,
E-mail: eekamal@eng.usm.my
Tel: +609-7664002, +609-765 3712, Fax: 609-7656532,
E mail: hayati @kb.usm.my
 
ABSTRACT FULL TEXT
Neural networks have been used in the medical field in various applications such as medical imaging processing and disease diagnostic technique. In this paper, we investigate the capability of two conventional neural networks as an intelligent diagnostic system. In particular, the radial basis function (RBF) and multilayered perceptron (MLP) neural networks were used to classify the type of cervical cancer in its early stage. The study is divided into two stages. In the first stage, we investigate the applicability of neural networks to classify cervical cells into normal and abnormal cells. In the second stage, we classify cervical cells abnormality into three classes based on The Bethesda Classification System; normal, low-grade squamous intraepithelial lesion (LSIL) and high-grade squamous intraepithelial lesion (HSIL). Diagnosis obtained using RBF and MLP neural networks gave promising results. Nevertheless, classification of abnormal cells into LSIL and HSIL yielded unsatisfactory results. In order to address this problem, this study adopted two hybrid neural networks namely hybrid radial basis function (HRBF) and hybrid multilayered perceptron (HMLP) networks in order to improve the performances of conventional neural networks. The overall diagnostic performance was measured using accuracy, sensitivity, specificity, false negative and false positive analysis by comparing to the diagnoses made by pathologists. This study indicates that HMLP network produces better overall diagnostic performance than the MLP, RBF and HRBF networks.
 
Keywords: RBF neural network, HRBF neural network, MLP neural network, HMLP neural network, cervical cancer, diagnostic system.
 

 
OPTIMAL RELEASE POLICIES FOR SOFTWARE RELIABILITY GROWTH MODEL (SRGM) WITH MAINTENANCE COSTS
*Madhu Jain, Sandhya Maheshwari and Kriti Priya
*Department of Mathematics
Institute of Basic Science, Khandari, Agra, 282002 India
E-mail: madhujain @sancharnetin
 
ABSTRACT FULL TEXT
A component based or module-based software system is considered in which the software reliability growth model (SRGM) follows a mixed distribution. We address the problem of determining the optimal testing time of software so that the total maintenance costs of the software could be minimized and a desired level of reliability could be achieved as well. The total maintenance costs of the software is obtained by assuming a warranty period in the operational phase of the software during which the cost incurred in the maintenance, is paid by the developer. The present value of the money is considered while calculating the total maintenance costs by including a discount rate. A technique for estimating the parameters of the SRGM is also suggested. Numerical illustrations are provided for testing the validity of the analytical results.
 
Keywords: Software testing, Reliability estimation, Optimal testing time, Warranty cost, Maintenance cost.
 

 
EVOLVING NEURAL CONTROLLERS FOR TERRESTRIAL AND EXTRATERRESTRIAL LOCOMOTION IN AN ARTIFICIAL QUADRUPED
*.J. Teo
*School of Engineering and Information Technology,
Universiti Malaysia Sabah,
88999 Kota Kinabalu, Sabah, Malaysia.
 
ABSTRACT FULL TEXT
This study explores the use of a multi-objective evolutionary algorithm for the automatic synthesis of neural controllers for the quadrupedal locomotion of an artificial creature in a 3-dimensional, physics-based environment. The Pareto-frontier Differential Evolution (PDE) algorithm is used to generate a Pareto optimal set of artificial neural networks that optimize the conflicting objectives of maximizing locomotion behavior and minimizing neural network complexity. The focus of this artificial life experiment is to firstly evolve embodied locomotion controllers for a physically simulated quadrupedal creature under terrestrial conditions (i.e. simulating Earth’s gravity) and then to investigate the performance of the best evolved controller in this physically simulated creature under different extraterrestrial environments (i.e. simulating gravity on planets other than Earth). It was found that under all extraterrestrial conditions the artificial creature was still able to perform the required locomotion task while in the worst case, some minimal locomotion behavior was still achieved.
 
Keywords: Artificial life, evolutionary robotics, embodied cognition, evolutionary multi-objective algorithms, evolutionary artificial neural networks.

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