An expert system on design of liquid-retaining structures with blackboard architecture

The design of liquid-retaining structures involves many decisions to be made by the designer based on rules of thumb, heuristics, judgement, codes of practice and previous experience. Structural design problems are often ill structured and there is a need to develop programming environments that can incorporate engineering judgement along with algorithmic tools. Recent developments in artificial intelligence have made it possible to develop an expert system that can provide expert advice to the user in the selection of design criteria and design parameters. This paper introduces the development of an expert system in the design of liquid-retaining structures using blackboard architecture. An expert system shell, Visual Rule Studio, is employed to facilitate the development of this prototype system. It is a coupled system combining symbolic processing with traditional numerical processing. The expert system developed is based on British Standards Code of Practice BS8007. Explanations are made to assist inexperienced designers or civil engineering students to learn how to design liquid-retaining structures effectively and sustainably in their design practices. The use of this expert system in disseminating heuristic knowledge and experience to practitioners and engineering students is discussed.

Introduction to the practice of telemedicine

Telemedicine is the delivery of health care and the exchange of health-care information across distances. It is not a technology or a separate or new branch of medicine. Telemedicine episodes may be classified on the basis of: (I) the interaction between the client and the expert (i.e. realtime or prerecorded), and (2) the type of information being transmitted (e.g. text, audio, video). Much of the telemedicine which is now practised is performed in industrialized countries, such as the USA, but there is increasing interest in the use of telemedicine in developing countries. There are basically two conditions under which telemedicine should be considered: (I) when there is no alternative (e.g. in emergencies in remote environments), and (2) when it is better than existing conventional services (e.g. teleradiology for rural hospitals). For example, telemedicine can be expected to improve equity of access to health care, the quality of that care, and the efficiency by which it is delivered. Research in telemedicine increased steadily in the late 1990s, although the quality of the research could be improved - there have been few randomized controlled trials to date.