Knowledge-based generation of design model structures: Towards an object-oriented, multiprocessing architecture.
| dc.contributor.advisor | Rozenblit, Jerzy W. | en_US |
| dc.contributor.author | Huang, Yueh-Min. | |
| dc.creator | Huang, Yueh-Min. | en_US |
| dc.date.accessioned | 2011-10-31T17:35:13Z | |
| dc.date.available | 2011-10-31T17:35:13Z | |
| dc.date.issued | 1991 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10150/185353 | |
| dc.description.abstract | The purpose of the research is to develop more efficient frameworks for supporting design model development. The evolution of these frameworks has occurred in two areas: (1) knowledge representation schemes for the design model and (2) procedures for model structure generation. The original representation scheme for the design model was the System Entity Structure (SES). The SES was subsequently enhanced by other representation schemes to create FRASES (Frame & Rules Associated SES). Furthermore, FRASES was further converted into object-oriented representation. The procedures for manipulating the above representation schemes involved search, reasoning, constraint satisfaction, and message passing. Finally, a distributed approach was proposed, indicating a future trend. The methodologies offered by artificial intelligence, simulation modelling, and software engineering were adopted to support the research. | |
| dc.language.iso | en | en_US |
| dc.publisher | The University of Arizona. | en_US |
| dc.rights | Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. | en_US |
| dc.subject | Dissertations, Academic | en_US |
| dc.subject | Object-oriented methods (Computer science). | en_US |
| dc.title | Knowledge-based generation of design model structures: Towards an object-oriented, multiprocessing architecture. | en_US |
| dc.type | text | en_US |
| dc.type | Dissertation-Reproduction (electronic) | en_US |
| dc.identifier.oclc | 708654160 | en_US |
| thesis.degree.grantor | University of Arizona | en_US |
| thesis.degree.level | doctoral | en_US |
| dc.contributor.committeemember | Zeigler, Bernard P. | en_US |
| dc.contributor.committeemember | Kuo, Sy-Yen | en_US |
| dc.identifier.proquest | 9121541 | en_US |
| thesis.degree.discipline | Electrical and Computer Engineering | en_US |
| thesis.degree.discipline | Graduate College | en_US |
| thesis.degree.name | Ph.D. | en_US |
| refterms.dateFOA | 2018-08-23T03:00:18Z | |
| html.description.abstract | The purpose of the research is to develop more efficient frameworks for supporting design model development. The evolution of these frameworks has occurred in two areas: (1) knowledge representation schemes for the design model and (2) procedures for model structure generation. The original representation scheme for the design model was the System Entity Structure (SES). The SES was subsequently enhanced by other representation schemes to create FRASES (Frame & Rules Associated SES). Furthermore, FRASES was further converted into object-oriented representation. The procedures for manipulating the above representation schemes involved search, reasoning, constraint satisfaction, and message passing. Finally, a distributed approach was proposed, indicating a future trend. The methodologies offered by artificial intelligence, simulation modelling, and software engineering were adopted to support the research. |
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