Hybrid knowledge representation in a blackboard KBS for liquid retaining structure design

Author name used in this publication: K. W. Chau2003-2004 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe

Web-based knowledge-based system on liquid retaining structure design as instructional tool

2002-2003 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe

Knowledge representation on design of storm drainage system

Innovations in applied artificial intelligence : 17th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2004, Ottawa, Canada, May 17-20, 2004Author name used in this publication: Kwokwing Chau2003-2004 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe

Knowledge-based system on optimum design of liquid retaining structures with genetic algorithms

Author name used in this publication: K. W. Chau2003-2004 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe

AI-based teaching package for open channel flow on Internet

Author name used in this publication: Kwokwing Chau2003-2004 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe

Intelligence-based educational package on fluid mechanics

Series: Lecture notes in computer scienceAuthor name used in this publication: KwokWing Chau2004-2005 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe

A knowledge-based system for construction site level facilities layout

Author name used in this publication: K. W. ChauSeries: Lecture notes in computer science2001-2002 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe

Development of an integrated knowledge-based system on flow and water quality in Hong Kong coastal waters

Author name used in this publication: K. W. Chau2006-2007 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe

AI and OR in management of operations: history and trends

The last decade has seen a considerable growth in the use of Artificial Intelligence (AI) for operations management with the aim of finding solutions to problems that are increasing in complexity and scale. This paper begins by setting the context for the survey through a historical perspective of OR and AI. An extensive survey of applications of AI techniques for operations management, covering a total of over 1200 papers published from 1995 to 2004 is then presented. The survey utilizes Elsevier's ScienceDirect database as a source. Hence, the survey may not cover all the relevant journals but includes a sufficiently wide range of publications to make it representative of the research in the field. The papers are categorized into four areas of operations management: (a) design, (b) scheduling, (c) process planning and control and (d) quality, maintenance and fault diagnosis. Each of the four areas is categorized in terms of the AI techniques used: genetic algorithms, case-based reasoning, knowledge-based systems, fuzzy logic and hybrid techniques. The trends over the last decade are identified, discussed with respect to expected trends and directions for future work suggested

A knowledge based system to assist in the selection of appropriate geotechnical field tests

The variety in geological conditions and range of geotechnical problems has led to the development of a considerable number of different in-situ test methods. The correct selection of the appropriate in-situ tests allows a safer and cost-efficient design to be achieved. A prototype Knowledge-Based System has been developed to assist in the selection of appropriate geotechnical in-situ tests. The system is model-based and has been implemented using PDC Prolog on a Personal Computer to perform two functions: i) general querying of the knowledge bases which it incorporates and ii) advise on selecting in-situ tests. The system consists of two knowledge bases (the Ground Knowledge Base and the Tests Knowledgebase), an Extended Inference Mechanism consisting of search rules developed to allow inheritance and transitivity inferences (as well as information retrieval facilities), an advisory rule developed for offering assistance in the selection of appropriate field tests, and a menu driven user interface to achieve ease of use. The Extended Inference Mechanism, and the user interface implemented for it, form a basic expert system shell. The knowledge required to be included in the system was obtained in two ways: i) from technical literature and ii) from a small knowledge elicitation exercise in the form of a questionnaire. The representation scheme adopted is the same for both knowledge bases and allows modifications (additions or deletions) of the existing knowledge to be easily made. Towards the completion of this research program, a comparative exercise was performed by re-implementing part of the system using the PROKAPPA software on a Sun Sparkstation 2 (both of which became available at that time). Throughout this exercise, the differences between the two implementation schemes were evaluated and the advantages and disadvantages of each of the schemes were identified