In this paper we describe role of expert systems in the natural resource management and present the utility of prolog based expert system shell ESTA (Expert System shell for Text Animation) in the development of such an expert system. ESTA programming is based on logic programming approach. The ESTA programme has some advantages compared to other available expert system shell such as the C Lang...

A knowledge-based system (KBS) has been developed for a semi-batch pilot scale emulsion copolymerisation reactor facility. A simulation model was developed for the feed of styrene and MMA monomers as well as surfactant and initiator to control the particle size distribution (PSD) and molecular weight distribution (MWD) over the entire monomer conversion. The expert system architecture provides ...

Diagnostic Yield Characterization Expert (DYCE) is a knowledge based system shell used for automated data interpretation in semiconductor manufacturing. Using a combination of artificial intelligence techniques , DYCE assists manufacturing and development personnel to diagnose problems by automatically interpreting hundreds of pieces of data, just as a human expert would do. Diagnosis time has ...

This paper introduces a strategy, a user model, and a methodology for utilising adaptive hypermedia in performance support domain and specifically for fault diagnosis. This utilisation is implemented by employing task-specific and user-centred hypermedia which allows supporting content to be synchronized with the diagnostic expert system inference process. A stereotype user model is suggested i...

EISE is an Air Force developed real-time computer network consisting of conercially available hardware and software components to support systems level integration, modifications and enhancements to weapons systems. The EISE approach offers substantial potential savings by eliminating unique support environments in favor of sharing common modules for the support of operational weapon systems. A...

AIMS Modern pacemakers provide a large amount of diagnostic data. Given the limited time available during a pacemaker follow-up visit essential information may be overlooked. This registry was conducted to assess the utility of an expert system that analyses the diagnostic data collected by an implanted pacing device and notifies and advises the physician about suspected technical issues and ar...

Expert systems are computer programs which incorporate artificial intelligence technology and are created to emulate the decision-making abilities of human experts. The advantage of such systems lies in their ability to capture and model expert problem solving knowledge in a domain and make it available to an unlimited number of consumers in an economic and efficient way. The purpose of this pr...

Hoist system for hypothetical reasoning, Wif models the functionality of all the components, thereby creating a causal model of the Mark 45 lower hoist. This model not only simulates the correct operation of the lower hoist, it also simulates the boundaries of faulty operation. The lower hoist in its actual form (a machine in the real world) is not computer accessible; a computer cannot connect...

Integrating machine learning into one of the manufacturing processes, i.e., forging, is mainly concerned with making system more intelligent by incorporating them to exhibit global understanding. Sometimes engineer/operator can find defects during or after forging operation. So, will need some input identify different types categorized defects. And also, according that, we develop fault diagnos...