Chun Che Fung

Chun Che Fung
Murdoch University · School of Engineering and Information Technology

PhD, M.Eng, B.Sc, Adv Dip

About

306
Publications
112,214
Reads
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3,296
Citations
Introduction
Emeritus Professor Lance Chun Che Fung is with Murdoch University, Western Australia. His research interest is in the applications of AI, ML, CI and relevant techniques to practical problems. He is an active IEEE Volunteer and he is currently concerned with ethical applications of AI and social impacts.
Additional affiliations
February 2003 - October 2015
Murdoch University
Position
  • Head of Faculty
January 2003 - October 2015
Murdoch University
Position
  • Associate Professor and Associate Dean of Research
January 1989 - January 2003
Curtin University
Position
  • Professor (Associate)

Publications

Publications (306)
Preprint
Question Answering (QA) systems over Knowledge Graphs (KGs) (KGQA) automatically answer natural language questions using triples contained in a KG. The key idea is to represent questions and entities of a KG as low-dimensional embeddings. Previous KGQAs have attempted to represent entities using Knowledge Graph Embedding (KGE) and Deep Learning (DL...
Article
Collaborative-based personalization has been one of the most successful techniques used in building personalization for recommender systems and facet selection. The technique predicts users’ interests based on the preferences of similar people or items. The prediction is usually made on one single group of users or items/facets. However, multiple f...
Chapter
Question Answering (QA) systems over Knowledge Graphs (KGs) (KGQA) automatically answer natural language questions using triples contained in a KG. The key idea is to represent questions and entities of a KG as low-dimensional embeddings. Previous KGQAs have attempted to represent entities using Knowledge Graph Embedding (KGE) and Deep Learning (DL...
Article
Full-text available
Two types of highly stable 0.1% graphene oxide-based aqueous nanofluids were synthesised and investigated. The first nanofluid (GO) was prepared under the influence of ultrasonic irradiation without surfactant. The second nanofluid was treated with tetra ethyl ammonium hydroxide to reduce the graphene oxide to form reduced graphene oxide (RGO) duri...
Book
This book aims to foster machine and deep learning approaches to data-driven applications, in which data governs the behaviour of applications. Applications of Artificial intelligence (AI)-based systems play a significant role in today’s software industry. The sensors data from hardware-based systems making a mammoth database, increasing day by day...
Article
Full-text available
The demand for high-quality freshwater is increasing due to global population growth, intensifying agricultural practices and expanding industrial development. Additionally, many global regions have low levels of rainfall which makes them arid and incapable of supporting large human populations or agriculture. Currently, large quantities of fossil...
Article
The huge amount of irrelevant and unimportant information have led to the need of using personalization in selecting the information which is relevant to searchers’ interest. Personalized faceted search has been a potential tool to support searchers to retrieve appropriate information effectively by navigating a list of selected multiple facets or...
Article
Full-text available
Feature Selection (FS) methods have been studied extensively in the literature, and there are a crucial component in machine learning techniques. However, unsupervised text feature selection has not been well studied in document clustering problems. Feature selection could be modelled as an optimization problem due to the large number of possible s...
Article
Magnesium has attracted considerable medical interest due to its mechanical properties being similar to bone. In addition, magnesium is also biocompatible and biodegradable, which makes it an ideal candidate for biodegradable orthopaedic implants. However, magnesium’s high corrosion rate in body fluids makes it an unsuitable material for the manufa...
Article
Full-text available
Information systems plays an important role in the development of many perspectives on the part of higher education institutions, especially in the management of students’ lives. Systems must be accessible and meet the needs of students, and allow higher education institutions to receive accurate and appropriate information. The purpose of this res...
Article
Full-text available
Effective system development to support higher education institutions is important. There are two steps in developing a good system and they are system architecture analysis and design. The first task of this research is to design the use case diagrams, system overview and the system architecture. The second is to evaluate the system architecture o...
Chapter
Information overloading leads to the need for an efficient search tool to eliminate a considerable amount of irrelevant or unimportant data and present the contents in an easy-browsing form. Personalized faceted search has been one of the potential tools to provide a hierarchical list of facets or categories that helps searchers to organize the inf...
Article
Full-text available
Background: Globally, large quantities (tonnes) of diverse sources of food wastes derived from horticulture are produced and offer a valuable renewable source of biochemical compounds. Developing new recycling and food waste utilisation strategies creates unique opportunities for producing gold (Au) nanoparticles with desirable antibacterial proper...
Chapter
Search engine plays an important role in information retrieval as being the preferred tool by users to locate and manage their desired information. The volume of online data has dramatically increased and this phenomenon of impressive growth leads to the need of efficient systems to deal with issues associated with storage and retrieval. Keyword se...
Conference Paper
An overwhelming number of facet values causes difficulties in providing an efficient search filter in dynamic facet search. It requires effort and time from the searchers to examine the list in order to select their interested facets. Personalised facet selection provides a list of relevant facet which is related to the user's interests. However, p...
Conference Paper
A hybrid sampling technique is proposed by combining Fuzzy C-Mean Clustering and Synthetic Minority Oversampling Technique (FCMSMT) for tackling the imbalanced multiclass classification problem. The mean number of classes is used as the number of instances for applying undersampling and oversampling. Using the mean as the fixed number of the requir...
Conference Paper
Realization of human emotion classification from Electroencephalogram (EEG) has great potential. Various methods in machine learning have been applied for EEG emotion classification and among these techniques, Support Vector Machines (SVMs) has demonstrated that it can provide good classification results. Therefore, SVM has been used widely in Affe...
Conference Paper
In this paper, we propose a Memetic-based clustering method that improves the partitioning of document clustering. Our proposed method is named as Differential Evolution Memetic Clustering (DEMC). Differential Evolution (DE) is used for the selection of the best set of cluster centres (centroids) while the Chaotic Logistic Search (CLS) is used to e...
Conference Paper
In this paper, a document clustering method with a hybrid feature selection method is proposed. The proposed hybrid feature selection method integrates a Genetic-based wrapper method with ranking filter. The method is named Memetic Algorithm-Feature Selection (MA-FS). In this paper, MA-FS is combined with K-means and Spherical K-means (SK-means) cl...
Article
The effectiveness of Gesture-Based Learning System (GBLS) has been reported in some recent studies. However, not many of those studies have investigated on how GBLS mode influences the learning outcomes. The aim of this study therefore focuses on investigating how GBLS mode impacts the learning outcomes. The findings of this study revealed that GBL...
Article
Full-text available
The global demand for energy is increasing and the detrimental consequences of rising greenhouse gas emissions, global warming and environmental degradation present major challenges. Solar energy offers a clean and viable renewable energy source with the potential to alleviate the detrimental consequences normally associated with fossil fuel-based...
Conference Paper
With the wide increase of the volume of electronic documents, it becomes inevitable the need to invent more sophisticated machine learning methods to manage the issue. In this paper, a Memetic feature selection technique is proposed to improve the k-means and the spherical k-means clustering algorithms. The proposed Memetic feature selection techni...
Conference Paper
Emotion classification and recognition from electroencephalogram (EEG) signals have been studied extensively due to its potential benefits such as entertainment and health care. Concerning classification, various techniques have been developed and applied. Support Vector Machines (SVMs) has been reported as the most used because of its accuracy. Ne...
Article
Data mining is the analytics and knowledge discovery process of analyzing large volumes of data from various sources and transforming the data into useful information. Various disciplines have contributed to its development and is becoming increasingly important in the scientific and industrial world. This article presents a review of data mining t...
Article
SQL contents are important for learning and teaching in all disciplines of computer courses. This paper is a proposed ontology for the SQL-Personalized Intelligent Tutoring System (SQL-PITS). The SQL-PITS is an Intelligent Tutoring System (ITS) for teaching SQL and providing adaptive content according personalized information from the learners. It...
Conference Paper
In this paper, a Complementary Fuzzy Support Vector Machine (CMTFSVM) technique is proposed to handle outlier and noise in classification problems. Fuzzy membership values are applied for each input point to reflect the degree of importance of the instances. Datasets from the UCI and KEEL are used for the comparison. In order to confirm the propose...
Article
Full-text available
It is challenging to ensure security and to minimize economic impacts due to cyber-attacks because of the heavy reliance on ICT in different organizations and this paper presents an approach to estimate the cost of cyber security in public and private sector organizations. The paper also describes an approach for selecting the type of cyber securit...
Article
Full-text available
Social networking media are becoming popular among students and teachers in higher education. Researchers have also started to explore the use of social networking media for teaching and learning in higher education. Social networking media have offered new opportunities for sharing, creating and interacting between students and teachers. However,...
Article
Full-text available
Several studies and experiments have been conducted in recent years to examine the value and the advantage of using the Gesture-Based Learning System (GBLS).The investigation of the influence of the GBLS mode on the learning outcomes is still scarce. Most previous studies did not address more than one category of learning outcomes (cognitive, affec...
Conference Paper
Information and Communications Technologies (ICTs), especially the Internet, have become a key enabler for government organisations, businesses and individuals. With increasing growth in the adoption and use of ICT devices such as smart phones, personal computers and the Internet, Cybersecurity is one of the key concerns facing modern organisations...
Conference Paper
Full-text available
Cyber security has become a serious challenge for organizations due to growing use of the Internet and increasing values of information that are stored in organizations' information systems. Because of the complexity and the number of different variables involved with information security, a special analytical tool is required to address the proble...
Article
While consumers' adoption and uptake of Renewable Energy (RE) in Australia have increased in recent years, feedback and surveys show the barriers for RE adoption are largely due to cost and perceived reliability of the technologies. Lessening the effects of these barriers is necessary towards influencing consumers' RE adoption behavior. RE regulati...
Article
Full-text available
Challenges for text processing in ancient document images are mainly due to the high degree of variations in foreground and background. Image binarization is an image segmentation technique used to separate the image into text and background components. Although several techniques for binarizing text documents have been proposed, the performance of...
Article
Full-text available
E-learning in higher education has changed the way teaching and learning are conducted, and this has also created new learning opportunities for both on and off campus education. To implement e-learning in higher education institutions successfully, many factors need to be examined. The scope of the subject of e-learning discussed in this paper is...
Article
This paper presents an approach to the problem of binary classification using ensemble neural networks based on interval neutrosophic sets and bagging technique. Each component in the ensemble consists of a pair of neural networks trained to predict the degree of truth and false membership values.
Article
Full-text available
The issues of accessibility, management, storage and organization of Learning Objects (LOs) in education systems are a high priority of the Thai Government. Incorporating personalized learning or learning styles in a learning object management system to improve the accessibility of LOs has been addressed continuously in the Thai education system. A...
Article
Recent development in developing humanoid robot poses new challenges to human-machine interaction communication. A major challenge is to develop robots that can behave like and interact with human in the most natural way possible. This paper proposes a system to develop a robot that can receive command, and talk to people in natural language. In ad...
Conference Paper
Character segmentation of handwriting of ancient manuscript is a crucial step in Optical Character Recognition (OCR) system. The segmentation of connected components is one of the factors that affects the performance of the recognition system. In order to improve the efficiency of OCR systems, segmentation of touching characters is a significant ta...
Article
Spatial interpolation methods are normally used to create aerial rainfall maps from remote measuring data collected by raingauge network. However, most spatial interpolation methods are not in the form of interpretable data models. This could make further analysis on the spatial data difficult. This paper proposes a methodology to analyze and estab...
Conference Paper
This paper proposes a methodology to create an interpretable fuzzy model for monthly rainfall time series prediction. The proposed methodology incorporates the advantages of artificial neural network, fuzzy logic and genetic algorithm. In the first step, the differences between the time series data are calculated and they are used to define the int...
Article
Recently, recommendation systems have become an important tool to support and improve decision making for educational purposes. However, developing recommendation systems is far from trivial and there are specific issues associated with individual problems. Low-correlated input features is a problem that influences the overall accuracy of decision...
Article
Monthly rainfall spatial interpolation is an important task in hydrological study to comprehensively observe the spatial distribution of the monthly rainfall variable in the study area. A number of spatial interpolation methods have been successfully applied to perform this task. However, those methods mainly aim at achieving satisfactory interpola...
Conference Paper
Advances in information technology depend on the availability of telecommunication, network and mobile technologies. With the rapid increasing number of mobile devices being used as essential terminals or platforms for communication, security threats now target the whole telecommunication infrastructure that includes mobile devices, radio access ne...
Conference Paper
Spatial interpolation is a method to create spatial continuous surface from observed data points. Spatial interpolation is important to water management and planning because it could provide estimation of rainfall at unobserved area. This paper proposes a methodology to analyze and establish an integrated intelligent spatial interpolation model for...
Conference Paper
Recently, several binarisation techniques have been proposed to process different kinds of ancient document images. While many well-known binarisation techniques are particularly suitable for certain types of document images, there is no specific guidelines on the determination of the appropriate type of image degradation, or characteristics of the...
Conference Paper
Rainfall time series forecasting is a crucial task in water resource planning and management. Conventional time series prediction models and intelligent models have been applied to this task. Attempt to develop better models is an ongoing endeavor. Besides accuracy, the transparency and practicality of the model are the other important issues that...
Article
Information Technology (IT) Management Frameworks are a fundamental tool used by IT professionals to efficiently manage IT resources and are globally applied to IT service delivery and management. Sustainability is a recent notion that describes the need for economic, environmental and social development without compromising the ability of future g...
Conference Paper
Smart Grid has a tightly coupled relationship between the generation, transmission and distribution of electrical power, and the digital information and communication technologies (ICT) that control or manage the system. Due to the heavy reliance on ICT in Smart Grid, cyber security and economic impacts of cyber-attacks are challenging issues. This...
Conference Paper
Although consumers' adoption rate of Renewable Energy (RE) have increased in recent years, yet feedback and surveys have shown the barriers for RE adoption are largely due to factors of initial investment cost, lack of RE awareness, and perceived lack of reliability of the technologies. Therefore, overcoming the effects of these barriers is becomin...
Conference Paper
Estimation of missing precipitation records is one of the important tasks in hydrological study. The completeness of precipitation data leads to more accurate results from the hydrological models. This study proposes the use of modular artificial neural networks to estimate missing monthly rainfall data in the northeast region of Thailand. The simu...
Conference Paper
This paper presents an integrated approach to automatically provide an overview of content on Thai websites based on tag cloud. This approach is intended to address the information overload issue by presenting the overview to users in order that they could assess whether the information meets their needs. The approach has incorporated Web content e...
Conference Paper
Text line extraction is one of the critical steps in document analysis and optical character recognition (OCR) systems. The purpose of this study is to address the problem of text line extraction of ancient Thai manuscripts written on palm leaves, using an Adaptive Partial Projection (APP) technique by integrating a modified partial projection and...
Conference Paper
Web Content Extraction technique is proposed in this paper. The technique is able to work with both single and multiple pages based on heuristic rules. An Extracted Content Matching (ECM) technique is proposed in the multiple page extraction to identify the noises among the extracted results. Some features in this technique are also introduced in o...
Conference Paper
In water management systems, accurate rainfall forecasting is indispensable for operation and management of reservoir, and flooding prevention because it can provide an extension of lead-time of the flow forecasting. In general, time series prediction has been widely applied to predict rainfall data. The conventional time series prediction models o...
Article
Full-text available
Despite the ever increasing pervasion of Information Systems (IS) in business processes the industry lacks a focus on sustainability. While concepts of sustainability have been applied to many other areas, IS is yet to demonstrate a balanced economic, ecological and social focus. This paper discusses the issues of IS sustainability and the implicat...
Article
In order to support the academic management processes, many universities in Thailand have developed innovative information systems and services with an aim to enhance efficiency and student relationship. Some of these initiatives are in the form of a Student Recommendation System (SRM). However, the success or appropriateness of such system depends...
Article
Malware is a major threat to organisations. It affects business continuity and induces risks to organisations. Current anti-malware solutions are challenged to keep the risks at bay. When a malware manages to penetrate an organisation's defences, there is a need to quickly contain the malware and to keep control over the organisation's IT assets be...
Article
Full-text available
Road traffic accidents have become a major health problem worldwide. There is an urgent need to educate young drivers on road safety and traffic rules. This study aims to investigate the effectiveness of Virtual Experiential Learning (VEL) for educating undergraduate students on traffic rules in Thailand. The results showed that the VEL affected co...
Conference Paper
Full-text available
To overcome the problem of information overloading in mobile communication, a recommendation system can be used to help mobile device users. However, there are problems relating to sparsity of information from a first-time user in regard to initial rating of the content and the retrieval of relevant items. In order for the user to experience person...
Conference Paper
Full-text available
This paper proposes a novel Web content extraction approach based on heuristic rules and the XPath utility in XML. The main objective is to address the problem of Web visualization by generating tag clouds from Thai Web sites in order to provide an overview of the key words in the Web pages. This paper also proposes a detailed method to assess the...
Article
Full-text available
This paper presents a character segmentation system from ancient palm leaf manuscripts written in ancient Thai language. This aims to develop an automated system for the digitization and processing of ancient manuscripts. In this paper, the preprocessing stage of noise reduction is carried out. An optimal binarization is selected in order to reduce...
Conference Paper
Full-text available
This paper presents a new approach for segmenting text lines on Thai handwritten documents. The proposed technique is based on an Adaptive Local Connectivity Map concept using Piece-Wise Separating Lines. The algorithm is designed to solve problems in handwritten documents such as fluctuating text lines. Moreover, local maxima projection profile is...
Conference Paper
Full-text available
Information overload is a problem in the Information Age and Information visualization is an approach to provide an overview of the content of a web site. Tag cloud is one of the ways to represent information as an image of a group of words. However, there are limitations on tag cloud generation, and one of them is due to the characteristics for th...
Article
Splitting of an orthogonal polyhedron is an essential operation in many orthogonal polyhedron related problems. This paper proposes an algorithm for splitting an orthogonal polyhedron with an orthogonal polyplane. There are four major steps of this algorithm: 1) sort the vertices of the orthogonal polyhedron in ABC-sorted order; 2) calculate the ve...
Conference Paper
Full-text available
In simulation and computer game domains, two issues related to pathfinding problems are search algorithm and search space. This paper describes and compares four techniques used for the reduction of search space generation in 2-D simulation and game world environments. In order to improve the computational overheads, reducing size of search space i...
Article
Full-text available
Vertex configuration for a vertex in an orthogonal pseudo-polyhedron is an identity of a vertex that is determined by the number of edges, dihedral angles, and non-manifold properties meeting at the vertex. There are up to sixteen vertex configurations for any orthogonal pseudo-polyhedron (OPP). Understanding the relationship between these vertex c...
Conference Paper
In simulation and computer game domains, pathfinding is an important capability for mobile and artificial agents. The problems of pathfinding have been widely studied for decades. The two significant aspect of pathfinding are related to search algorithm and search space. This paper mainly focuses on the search space generation aspect. Search space...
Article
This research deals with complementary neural networks (CMTNN) for the regression problem. Complementa