Monday, 06 Apr 2020
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Knowledge Technology Group (KT)


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Focusing on developing state-of-the-art tools, modules and content for effective knowledge management, culminating in an intelligent system builder that will expedite the development of intelligent applications. The core to knowledge usage may thus stem from two underlying assumptions which are now made much more plausible with advances in language and knowledge technologies. Text, speech and image (and other multimedia and multimodal data forms) are expressions of knowledge, and as such one should be able to extract and represent knowledge from documents in these modes.Once knowledge is captured and encapsulated, it can be utilised effectively by using knowledge management techniques to support large and intelligent enterprise-level applications.


Knowledge Technology (KT) comprises of 2 major subgroups which are described as follows:


(i) Intelligent System Builder

(ii) Computational Modelling Workbench Groups.




(i) Knowledge Technology Group (KT): Computational Modelling Group


A generic software are focussed on the development of  a workbench with 3 top-level modules – Problem Characterisation, Techniques Multiplexor, and Analysis. Problems to be resolved are first characterised by the first module, then a model is formulated using one (or a combination) of the techniques in the second module, and analysed by the third module (which contains many statistical but also other types of analysis modules). 


:: Computational Modelling Workbench

:: Problem Characterisation

:: Techniques Multiplexor

:: Analysis Modules



Among the works currently being done are :


Manpower Planning and Scheduling for In-flight Catering Services

This research focuses the manpower scheduling for in-flight catering loading operation. Package meals are delivered from a common service centre to aircrafts at apron. All aircrafts must be served within the period upon arrivals and prior to departures using loading trucks. The scheduling process takes into account complex considerations such as meal break allocation, multiple trip traveling and food exposure time limit. Given the aircrafts’ movements and predefined maximum working hours for each loading team, the core puzzle of this study is to assign the minimum number of loading teams to the aircrafts and to produce a roster.


Statistical Modelling of Carbon Dioxide Emissions in ASEAN Countries

Large amounts of carbon dioxide are produced as the results of power generation and various industrial activities such as cement manufacture and hydrogen production. The burning of carbon-based fuels associated with the basic needs of life, including electricity, heating and transportation are also emitting carbon dioxide daily. Estimates of carbon dioxide emissions are currently an important issue due to the growing threat of global warming and climate change. This research involves three stages, namely characterisation, modelling and prediction, with a principal purpose of modelling to attain better predictions.


iPepper: Automatic Intelligent Pepper Grading and Quality Assurance System

An intelligent and automatic pepper grading system is proposed to grade white pepper berries according to their respective groups based on the ISO pepper grading standard. The end result of this project is a model for an effective and efficient automatic pepper grading. The project could then be extended as a framework for sorting black pepper berries as well as other agricultural products.


Mathematical Modeling and Simulation of EHD Ion-Drag Micropump for Optimum Performance

The EHD ion-drag micropump uses the interaction of an electric field with electrical charges injected into a dielectric fluid. The electric field is imposed between an electrode called emitter and another called collector. The ions, traveling from the emitter to the collector, are dragged by friction in the working fluid, which generates a net flow. The research aims to study and analyse numerically the EHD pumping phenomenon in an ion-drag micropump by determining its characteristics and the effect of design geometry on pumping performance.


Network Modelling of Malaria Transmission

The focus of the ongoing research is on the development of contact network algorithms and methodologies to study the transmission of malaria in public places. A set of analytical tools is being developed for modeling the resulting network. The research seeks to deal with issues such as determination of the most critical public places, and possibly also the specific human beings who contribute to the highest degree of disease transmission. Efforts are also carried out to discover how an infection in a particular public place may affect or lead to infections in other public places, or how effective control in one can reduce transmission to others. This research also seeks to understand the structure of malaria networks vis-à-vis other forms of networks and how modern search engines can be applied in malaria research. Visualisation tools are also being developed, among other deliverables.


3D Wind Prediction within Sarawak Highlands

In this project, the modeling of wind flow patterns around the ground surface of terrains is proposed. We are particularly interested in the modeling of wind flow around terrains for the reason that helicopter accidents often occur in the Bakelalan area in northern Sarawak. We believe that the wind flow study in this project can help in preventing such accidents. This project will focus on the mathematical modeling using high Reynolds number fluid flow encountering multiple obstacles since terrains can be modeled as multiple objects within the atmospheric boundary layer. It is also important to keep in mind that the behaviour of the atmospheric boundary layer is significantly influenced by topography.


Researchers Group & Expertise:

Associate Professor Dr Jane Labadin, expert in Modelling Dynamical Systems specifically Disease and Fluid Problem

Dr Shapiee Abdul Rahman, expert in Modelling Statistically

Dr Sze San Nah, expert in Operational Research Problem specifically in NP-hard Problems

Dr Nuha Loling, expert in Dam Modelling

Dr Tiong Wei King, expert in Wave Modelling

Dr Chiew Kang Leng, expert in Information Security Modelling

Ling Yeong Tyng, Cellular Automata

Terrin Lim, Network Modeling

Phang Piau, Disease Modelling



(ii) Knowledge Technology Group (KT): Intelligent Systems Buider


Development of a generic software tool to develop intelligent systems, with 4 main (very large) Technology Platforms – Language, Image, Knowledge, and Knowledge Management Technology. The first two are for the acquisition of knowledge from various multi-media, multi-modal, multi-lingual sources (as well as for generating such forms for knowledge dissemination); the third is for knowledge extraction, representation, together with intelligent retrieval services; and the fourth is for the development/assembly of the actual intelligent systems for users.


As the Intelligent Systems group is large, we have 4  Focus research Areas  within  this  group:


       Language Platform

       Image Platform

       Knowledge Platform

       Knowledge Management Technology