CSG-EESI: a new solid representation scheme and a conversion expert system

1988 ◽  
Vol 10 (2) ◽  
pp. 221-234 ◽  
Author(s):  
S. Xie ◽  
T.W. Calvert
Keyword(s):  
Expert System ◽  
Representation Scheme

A GENERAL FRAMEWORK FOR KNOWLEDGE-BASED PATTERN RECOGNITION

1987 ◽  
Vol 01 (02) ◽  
pp. 189-205 ◽  
Author(s):  
F. BERGADANO ◽  
L. SAITTA
Keyword(s):  
Pattern Recognition ◽  
Expert System ◽  
Knowledge Representation ◽  
General Framework ◽  
Common Knowledge ◽  
Learning Module ◽  
Knowledge Based ◽  
Recognition Phase ◽  
Representation Scheme

This paper surveys a long term project, aimed at providing a general methodology for building up and maintaining an expert system oriented to Pattern Recognition problems. The methodology makes use of an integrated set of modules, performing different functions but sharing a common knowledge representation scheme. In particular, a learning module allows to acquire the knowledge automatically from a set of examples and another module performs sophisticated reasoning, on the basis of the available knowledge, during the recognition phase.

Development of An Expert Systems for Ergonomic Workplace Design and Evaluation

1988 ◽  
Vol 32 (11) ◽  
pp. 617-621
Author(s):  
Eui S. Jung
Keyword(s):  
Expert System ◽  
Expressive Power ◽  
Knowledge Bases ◽  
Analytical Models ◽  
Design Solution ◽  
Rule Base ◽  
Workplace Design ◽  
Inference Mechanism ◽  
Reasoning Process ◽  
Representation Scheme

Industrial workplace design and evaluation is the outcome of a multi-factored process which requires diverse disciplines and interrelated techniques to consider alternative factors and to achieve an optimal design solution. However, it is still evident that industrial workplace design fails to incorporate ergonomic principles throughout all stages of design and evaluation, One approach to solve the problem is to introduce an expert system for integrating existing analytic models and expertises into a framework which guides the designer along the necessary steps to reach a solution, with explanations on its reasoning process. This paper discusses the framework of the prototype expert system being implemented using VM/PROLOG on IBM VM/CMS mainframe. The rule-based production system was selected as a representation scheme due to its versatility and expressive power. It is consisted of two main parts, First, modularized knowledge bases incorporate multidisciplinary ergonomic factors such as biomechanics, work physiology, and psychophysics. Each module stores knowledge either in the fact base or the rule base, however, massive experimental findings and table-lookups are separately stored in the external database through its interface and retrieved without bothering the main inference mechanism. Secondly, inference mechanism was built as a control mechanism, with a front-end user interface. It has a pattern-directed architecture coupled with a normal forward/backward chaining mechanism. The prototype expert system also incorporates analytical models (usually written in FORTRAN) into the reasoning process so that it is highly flexible to the problem specificity.

A Multi-Expert System for Sheet Metal Part Design

1991 ◽  
Author(s):  
William R. D. Wilson ◽  
Jyhwen Wang
Keyword(s):  
Expert System ◽  
Sheet Metal ◽  
Design Process ◽  
Heuristic Search ◽  
Collaborative Design ◽  
Expert Knowledge ◽  
Object Oriented ◽  
Sheet Metal Parts ◽  
Heuristic Search Methods ◽  
Representation Scheme

Abstract A multi-expert system approach for the design of sheet metal parts, and its implementation is described. The system uses a frame-based, object-oriented representation scheme to model the part design as well as the expert knowledge. To facilitate the collaborative design process, a blackboard architecture is used. Heuristic search methods that guide the collaborative design process are presented. The advantages offered by such a multi-expert system are also discussed.

OWLKNEST: An Expert System to Provide Operator Workload Guidance

1989 ◽  
Vol 33 (20) ◽  
pp. 1486-1490 ◽  
Author(s):  
Regina M. Harris ◽  
Susan G. Hill ◽  
Robert J. Lysaght
Keyword(s):  
Expert System ◽  
Knowledge Representation ◽  
Design Approach ◽  
General Description ◽  
Knowledge Based ◽  
Army Research Institute ◽  
Representation Scheme ◽  
Operator Workload ◽  
Sample System ◽  
Research Institute

The Operator Workload Knowledge-based Expert System Tool (OWLKNEST) is a microcomputer-based tool that provides guidance in selecting the most appropriate technique to use for estimating Operator Workload (OWL) for developing Army systems. OWLKNEST is based on twenty years of workload research and on knowledge gained in the three-year Army Research Institute OWL Program. The design approach is presented along with a general description of targeted users and knowledge representation scheme. The criteria used to evaluate available OWL techniques for inclusion in the system are also presented. Sample system applications are presented which illustrate how OWLKNEST can be used for a variety of needs.

scholarly journals A VHDL Based Expert System for Hardware Synthesis

VLSI Design ◽  
1994 ◽  
Vol 1 (2) ◽  
pp. 113-126
Author(s):  
Sajjan G. Shiva ◽  
Judit U. Jones
Keyword(s):  
Expert System ◽  
Integrated Circuit ◽  
High Speed ◽  
Design Space Exploration ◽  
Semantic Network ◽  
Digital Circuit ◽  
Target System ◽  
Hardware Synthesis ◽  
Hardware Description ◽  
Representation Scheme

This paper describes an expert system for Hardware Synthesis. Details of the target digital system are input to the expert system using Very High Speed Integrated Circuit Hardware Description Language (VHDL). The VHDL representation is first translated to a knowledge representation scheme known as a ‘hologram’ which is a combination of rule, frame and semantic network representation schemes. The hologram representation of the target system is then input to the inference engine, which matches the target system to the Knowledge Base components and selects an appropriate set for implementation, and connects them creating a digital circuit. Some design examples are described. The expert system approach results in designs very close to designs from a human designer. In its present form, the system does not perform a design space exploration for alternate designs, but expects the designer to alter the VHDL representation, after observing the results from previous design cycles.

Knowledge representation and planning control in an expert system for the creative design of mechanisms

1987 ◽  
Vol 1 (2) ◽  
pp. 119-137 ◽  
Author(s):  
David A. Hoeltzel ◽  
Wei-Hua Chieng ◽  
John Zissimides
Keyword(s):  
Expert System ◽  
Knowledge Representation ◽  
Mechanism Design ◽  
Power Transmission ◽  
Combustion Engine ◽  
Interactive System ◽  
Domain Specific ◽  
Design Engineers ◽  
Primary Focus ◽  
Representation Scheme

An interactive system, referred to as MECXPERT {Mechanism Expert}, has been designed with the expressed purpose of assisting nonexpert design engineers in creating mechanisms for fulfilling specific motion-conversion and/or power-transmission requirements. The particular knowledge representation scheme chosen for this application comprises a hybrid formulation of a rule-based production system with a frame-based approach. The underlying control strategy is based on a series of special-purpose, domain-specific operators whose function is to move from one problem space to another through various stages or ‘states’ that comprise the mechanism design process.The primary focus of this paper centers on the representation of knowledge and its control within an expert system for creative mechanism design. An overview summarizing the reasons for developing such an expert system is provided, and the formulation of a problem is discussed through an example taken from the design of a variable-stroke internal-combustion engine mechanism.

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