K. W. Wong

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  • Y S Ong, P B Nair, A J Keane, K W Wong
  • 2004
Over the last decade, Evolutionary Algorithms (EAs) have emerged as a powerful paradigm for global optimization of multimodal functions. More recently , there has been significant interest in applying EAs to engineering design problems. However, in many complex engineering design problems where high-fidelity analysis models are used, each function(More)
One of the fastest growing areas of evolutionary algorithm research is the enhancement of genetic algorithms by combination with local search methods or memes: often known otherwise as memetic algorithms. However there is often little theoretical basis on which to characterize the choice of memes that lead to successful memetic algorithm performance. In(More)
—Mobile device can be used as a medium to send and receive the mobile internet content. However, there are several limitations using mobile internet. Content personalisation has been viewed as an important area when using mobile internet. In order for personalisation to be successful, understanding the user is important. In this paper, we explore the(More)
  • Ning Zhu, Soon Ong, Wai Kok, Kiam Tian Wong, Seow, N Zhu +3 others
  • 2003
In recent years, fuzzy modelling has become very popular because of its ability to assign meaningful linguistic labels to fuzzy sets in the rule base. However, in order to achieve better performance in fuzzy modelling, parameter identification often needs to be performed. In this paper, we address this optimization problem using memetic algorithms (MAs) for(More)
—We have demonstrated multi-walled carbon nanotube (MWCNTs) based sensors, which are capable of detecting alcohol vapor with ultra-low power. We fabricated the Si-substrate sensors using an AC electrophoretic technique so as to form bundled MWCNTs sensing elements between Au microelectrodes. The I-V measurement illustrates that we can activate the sensors(More)
A simple approach to the creation of a strange nonchaotic attractor in any chaotic system is described. The main idea is to control the parameter of the system in such a manner that the system dynamics is expanding at some times, but converging at others. With this approach, a strange nonchaotic attractor can be found in a large region in the parameter(More)
  • P Jeatrakul, K W Wong, C C Fung, Piyasak Jeatrakul, Wai Kok, Chun Che Wong +1 other
  • 2012
It is posted here for your personal use. No further distribution is permitted. Data cleaning is a pre-processing technique used in most data mining problems. The purpose of data cleaning is to remove noise, inconsistent data and errors in order to obtain a better and representative data set to develop a reliable prediction model. In most prediction model,(More)
We have studied phase synchronization between two identical Rössler oscillators connected in the drive-response configuration by a single phase signal. Before the transition to phase synchronization, the distribution of the time interval between consecutive 2pi jumps shows several sharp peaks. With a strong phase signal coupling, the n:m phase(More)
(1998) Developing a generalised neural-fuzzy hydrocyclone model for particle separation. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of(More)
Phase synchronization is studied with a discrete system formed by two coupled map lattices, in which phases are measured in two-dimensional vectors. Simulation results show that by imposing external coupling between the two lattices, phase synchronization can be found in all two-dimensional phase planes between them. When the system is approaching the phase(More)