Computer Artificial Intelligence Technology in CAD Industrial Drafting and Design Platform System: A Review
This paper discusses how a 3D drafting system is developed to accommodate complex human-machine interface characteristics. An object-oriented multi-level structured test case design method is proposed. An Oracle-based distributed project management database is constructed. A new 3D CAD surface model...
Published in: | 2023 IEEE 3rd International Conference on Data Science and Computer Application, ICDSCA 2023 |
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2-s2.0-85187260371 Yonghong Q.; Hassan O.H.; Abidin S.Z.; Hashim A.B.M. Computer Artificial Intelligence Technology in CAD Industrial Drafting and Design Platform System: A Review 2023 2023 IEEE 3rd International Conference on Data Science and Computer Application, ICDSCA 2023 10.1109/ICDSCA59871.2023.10393041 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187260371&doi=10.1109%2fICDSCA59871.2023.10393041&partnerID=40&md5=d471afefeab3be5a619d8a86dde3f3ca This paper discusses how a 3D drafting system is developed to accommodate complex human-machine interface characteristics. An object-oriented multi-level structured test case design method is proposed. An Oracle-based distributed project management database is constructed. A new 3D CAD surface model search method is given. A 3D CAD surface model retrieval algorithm based on distance-curvature shape distribution is proposed. The method can effectively solve the collaboration problem of multiple parallel programs. The designed software platform is proved to be complete, scalable and open through practical applications. Finally, it can effectively achieve human-to-human collaboration and resource sharing. © 2023 IEEE. Institute of Electrical and Electronics Engineers Inc. English Conference paper |
author |
Yonghong Q.; Hassan O.H.; Abidin S.Z.; Hashim A.B.M. |
spellingShingle |
Yonghong Q.; Hassan O.H.; Abidin S.Z.; Hashim A.B.M. Computer Artificial Intelligence Technology in CAD Industrial Drafting and Design Platform System: A Review |
author_facet |
Yonghong Q.; Hassan O.H.; Abidin S.Z.; Hashim A.B.M. |
author_sort |
Yonghong Q.; Hassan O.H.; Abidin S.Z.; Hashim A.B.M. |
title |
Computer Artificial Intelligence Technology in CAD Industrial Drafting and Design Platform System: A Review |
title_short |
Computer Artificial Intelligence Technology in CAD Industrial Drafting and Design Platform System: A Review |
title_full |
Computer Artificial Intelligence Technology in CAD Industrial Drafting and Design Platform System: A Review |
title_fullStr |
Computer Artificial Intelligence Technology in CAD Industrial Drafting and Design Platform System: A Review |
title_full_unstemmed |
Computer Artificial Intelligence Technology in CAD Industrial Drafting and Design Platform System: A Review |
title_sort |
Computer Artificial Intelligence Technology in CAD Industrial Drafting and Design Platform System: A Review |
publishDate |
2023 |
container_title |
2023 IEEE 3rd International Conference on Data Science and Computer Application, ICDSCA 2023 |
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container_issue |
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doi_str_mv |
10.1109/ICDSCA59871.2023.10393041 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187260371&doi=10.1109%2fICDSCA59871.2023.10393041&partnerID=40&md5=d471afefeab3be5a619d8a86dde3f3ca |
description |
This paper discusses how a 3D drafting system is developed to accommodate complex human-machine interface characteristics. An object-oriented multi-level structured test case design method is proposed. An Oracle-based distributed project management database is constructed. A new 3D CAD surface model search method is given. A 3D CAD surface model retrieval algorithm based on distance-curvature shape distribution is proposed. The method can effectively solve the collaboration problem of multiple parallel programs. The designed software platform is proved to be complete, scalable and open through practical applications. Finally, it can effectively achieve human-to-human collaboration and resource sharing. © 2023 IEEE. |
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Institute of Electrical and Electronics Engineers Inc. |
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English |
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Conference paper |
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scopus |
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Scopus |
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1809677888868319232 |