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Journal of Information and Communication Technology (JICT) Vol. 10, 2011

OPTIMIZING WORKLOAD ALLOCATION IN A NETWORK OF HETEROGENEOUS COMPUTERS
Rahela Rahim and Ku Ruhana Ku-Mahamud
Division of Physical Sciences and Graduate Department of Computer Science
College of Arts and Sciences
Universiti Utara Malaysia
rahela@uum.edu.my
ruhana@uum.edu.my
 
ABSTRACT FULL TEXT
The allocation of workload to a network of computers is investigated. A new workload allocation model based on Generalized Exponential (GE) distribution is proposed for user-level performance measures. The criterion used for effective workload allocation is the one that minimizes the expected response time in systems to which jobs are routed. A closed-loop expression for workload arrival to minimize systems means queue length and response time are derived using the optimization technique. Results are presented with numerical examples and sensitivity analysis with respect to changes of total workload. Results are verified using the simulation technique.
 
Keywords: Workload allocation, Multi server queuing system, Optimization, Generalized exponential distribution.
 

 
GOAL-ONTOLOGY ETL PROCESSES SPECIFICATION
Azman Ta’a, Mohd. Syazwan Abdullah and Norita Md. Norwawi
College of Arts and Sciences
Universiti Utara Malaysia
azman@uum.edu.my
syazwan@uum.edu.my
norita@usim.edu.my
 
ABSTRACT FULL TEXT
The design-related problems for extract, transform, load (ETL) processes are far away from being resolved due to the ambiguity of user requirements and the complexity of operations. Current approaches are based on existing software requirement methods that have limitations on reconciliation of the requirement semantics toward generating the ETL processes specification. The solution is to apply the RAMEPs (Requirement Analysis Method for ETL Processes) that was developed to facilitate the design of the ETL processes in the perspectives of organization, decision-maker, and developer. The results are the ETL processes specification, which was validated on the correctness of the goal-ontology model and evaluated in the case study of Gas Malaysia Data Warehouse (DW) system. The case study illustrated how the goal-ontology approach was successfully implemented in designing and generating the ETL processes specification.
 
Keywords: ETL Processes, Data warehouse, Ontology, Business intelligence, Requirement analysis
 

 
INNOSAT ATTITUDE CONTROL SYSTEM BASED ON ADAPTIVE NEURO-CONTROLLER
Siti Maryam Sharun, Mohd Yusoff Mashor, Norhayati Mohd Nazid, Sazali Yaacob and Wan Nurhadani Wan Jaafar
School of Mechatronic Engineering
Universiti Malaysia Perlis
siti_mrym@ymail.com
 
Wan Nurhadani Wan Jaafar
Institute of Engineering Mathematic
Universiti Malaysia Perlis
hadani@unimap.edu.my
 
ABSTRACT FULL TEXT
The current research focuses on the designing of an intelligent controller for the Attitude Control System (ACS) of the Innovative Satellite (InnoSAT). The InnoSAT mission is to demonstrate local innovative space technology amongst the institutions of higher learning in the space sector. In this study, an Adaptive Neuro-controller (ANC) based on the Hybrid Multi Layered Perceptron (HMLP) network has been developed. The Model Reference Adaptive Control (MRAC) system is used as a control scheme to control a time varying systems where the performance specifications are given in terms of a reference model. The Weighted Recursive Least Square (WRLS) algorithm will adjust the controller parameters to minimize error between the plant output and the model reference output. The objective of this paper is to analyse the time response and the tracking performance of the ANC based on the HMLP network and the ANC based on the standard MLP network for controlling an InnoSAT attitude. These controllers have been tested using an InnoSAT model with some variations in operating conditions such as varying gain, measurement noise and disturbance torques. The simulation results indicated that the the ANC based on the HMLP network is adequate to control satellite attitude and give better results than the ANC based on the MLP network.
 
Keywords: Attitude control system, Adaptive Neuro-controller, Innovative satellite, Hybrid multi layered perceptron, Model reference adaptive control, Weighted recursive least square.
 

 
CRYPTOGRAPHIC ALGORITHM USING MATRIX INVERSION AS DATA PROTECTION
Peter B. Zirra
Department of Mathematical Sciences
Adamawa State Universiti
 
Mubi, Nigeria
zirrapeter@yahoo.com
 
G.M. Wajiga
Department of Mathematics and Computer Science,
Federal Universiti of Technology
Yola, Nigeria
gwajiga@gmail.com
 
ABSTRACT FULL TEXT
This study aimed at providing algorithms to secure sensitive information in store or in transit via unsecure channels from the hands of the Internet criminals by scrambling the sensitive information into a set of linear equations in matrix form and deciphering by solving the systems of the linear equations in conjunction with the principles of the delta encoding scheme, a formula and a lookup alphanumeric position table. The algorithms were tested with samples of real data and the result practically demonstrated how systems of non-linear equations turned into linear equations are indeed of relevance in providing strong and complex encryption and decryption keys to protect sensitive information in store or in transit via unsecure channels. The proposed algorithms ensured that unauthorized users do not have access to sensitive and classified documents stored or transmitted to an intended recipient without a secret key. This means that, there is confidentiality, non-repudiation and integrity of our sensitive and classified information from the hands of unauthorized users on the Internet because of the robustness of the proposed algorithms.
 
Keywords: Cryptographic algorithms, Delta encoding, Newton’s method, Inversion matrix, Non-linear equations, Decryption key, Cryptanalyst.
 

 
VIABILITY OF THE EXTENDED TECHNOLOGY ACCEPTANCE MODEL: AN EMPIRICAL STUDY
Abu Yousuf Mohammed Atiquil Islam
Institute of Education
International Islamic University Malaysia (IIUM)
skyiium@yahoo.com
 
ABSTRACT FULL TEXT
The prime objective of this study is to validate the extended technology acceptance model (ETAM) by incorporating two intrinsic motivation attributes, namely, computer self-efficacy and satisfaction into the original TAM to compare its viability testing on their satisfaction of the wireless internet service at a university. Besides, it evaluates gender invariant of the causal structure of this extended TAM. A total of 285 students from five major faculties (Education, Human Sciences, Engineering, ICT and Economics) were taken as respondents. The questionnaire’s reliability and validity were established through a RASCH analysis. The results as analyzed by Structural Equation Modelling (SEM) indicate that students’ perceived ease of use had a statistically significant effect on their satisfaction. The study revealed that gender did not exert any influence as a moderating variable towards students’ satisfaction in using Wireless Internet. The findings contributed to a better understanding of the TAM and technology satisfaction among students.
 
Keywords: Extended TAM, Wireless Internet, SEM, Cross-validation.
 

 
COMPUTER-AIDED SYSTEM FOR MODELLING MACHINERY PROCUREMENT DUE-DATE PREDICTION IN PRODUCTION INDUSTRIES
Basil O. Akinnuli
Department of Mechanical Engineering
Federal University of Technology, Akure, Nigeria.
ifembola@yahoo.com; bakinnuli@futa.edu.ng
 
Samuel A. Oluwadare
Department of Computer Science
Federal University of Technology, Akure, Nigeria.
oluwadaresam@yahoo.com
 
ABSTRACT FULL TEXT
Machinery procurement is carried out in both government and private sectors. One of the major criteria for the selection of vendors is their ability to meet the due-date of supply. Failure to meet the supply due-date will affect installation time, commissioning time, as well as start- up date negatively. The set target for the period will be difficult to meet and working overtime to recover the lost period will cause over-flogging of machine, increase in wear rate which can lead to the life-span reduction of the machine. To arrest this situation, a stochastic model was developed to predict machinery/equipment procurement flow time and set due-date for the supply of the machine by the vendor. The model utilized data on the procurement activities which were analysed based on optimistic, most likely and pessimistic time for each activity. The stochastic model used Project Evaluation and Review Techniques (PERT) for analysing these three time estimates from which expected time was predicted. The model accommodates procurement strategic decisions, flow chart development, data collection form, network analysis, activities paths determination and critical path identification. This research was able to develop a model for machinery procurement, develop computer software for implementing the model and validate the effectiveness of the model using an existing company as case study. The expected completion time is 45 days, with variance of 2 days while the probability of supplying the machine in not more than 2 days is 86%. This model will find application in small, medium and large scale industries in both developing and developed countries.
 
Keywords: Model development, Machinery procurement, Due-date prediction, Computer-aided system.
 

 
SUPPLY CHAIN MANAGEMENT: A SYSTEM DYNAMICS APPROACH TO IMPROVE VISIBILITY AND PERFORMANCE
Chan Kah Wai and Ang Chooi-Leng
Department of Applied Sciences
College of Arts and Sciences
Universiti Utara Malaysia
wilsonckw@hotmail.com
 
ABSTRACT FULL TEXT
Competitiveness is one of the factors successful organizations excel in, and they will do anything necessary to gain an edge over their competitors. The system dynamics approach to simulation modelling is being considered as one of the methods to increase competitiveness. System dynamics is essentially a methodology suited to studying and managing complex feedback systems and provides a means for understanding the causes of industry behaviour. This research builds a complete system dynamics model for internal supply chain events (from order to ship-out) from the perspectives of a semiconductor company. System dynamics models are simulation-based models that allow the investigation and identification of discrepancies between the business policy and the actual practice of key events as well as provide a better visibility of the company’s system. With the understanding of the internal workings of the supply chain system, experiments with the simulation model could provide alternative configurations to achieve better performance. This research utilizes system dynamics to better understand the supply chain system and with it, to find better solutions through experimentations with a few key variables in the supply chain system. The result of this research reveals that the company could achieve 25% reduction in inventory cost should the recommendations be followed.
 
Keyword: Supply chain, System dynamics, Simulation, Supply chain optimization, Supply chain visibility, Semiconductor, Manufacturing, Warehouse, Model experiment, Bullwhip effect.
 

 
MULTI-CRITERIA DECISION MAKING METHODS FOR DETERMINING COMPUTER PREFERENCE INDEX
Maznah Mat Kasim, Haslinda Ibrahim and Mahmoud S. Bataineh
Quantitative Science Program
UUM College of Arts and Sciences
Universiti Utara Malaysia
maznah@uum.edu.my
linda@uum.edu.my
mahmoudkt@yahoo.com
 
ABSTRACT FULL TEXT
In helping consumers to make a wise decision in purchasing a personal computer (PC), the use of multi-criteria decision analysis methods is a way to provide ranking of the attributes of PCs and to construct the computer preference index (CPI). This paper employs the Rank Ordered Centroid (ROC) method to do the ranking. The findings reveal that the most important attribute is the CPU, followed by the hard drive, the price, the memory card, the warranty, the size, the screen resolution, the Ethernet, the weight and the DVD. Whilst, the CPI is constructed by using a Multi-Criteria Decision Making (MCDM), called the Simple Additive Weighting (SAW) method. Analysis of data from 25 PCs from four brands, Toshiba, Dell, HP Compaq and Acer, presents the CPI. The resulted CPI shows that two HP Compaq models, Presario V3632 and V3653 are preferred most, while, Acer Aspire 4920-5AA0516MI is the least preferred.
 
Keywords: Attribute, Computer preference index (CPI), Multi-Criteria Decision Making (MCDM), Rank order centroid, Simple additive weighting.

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