Zobrazeno 1 - 5
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pro vyhledávání: '"Yang-Dong Wu"'
Autor:
Tai Hua Zhang, Yang Dong Wu
Publikováno v:
Applied Mechanics and Materials. :81-84
In order to solve the problem that design resources can not be effectively reused, variant design is used in engineering field. Knowledge is the key factor implementing strategy of variant design. This paper puts forward the knowledge classification,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bab4851b6fd43b8cf082a5d6a397662d
https://doi.org/10.4028/www.scientific.net/amm.300-301.81
https://doi.org/10.4028/www.scientific.net/amm.300-301.81
Publikováno v:
Acta Automatica Sinica. 33:546-549
The problem of filling in missing or damaged wavelet coefficients is considered in this paper. Chan, Shen, and Zhou have proposed two total variation (TV) wavelet inpainting models to solve this problem. The main benefit of TV model is that it can ke
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4bb3f867d2a248bf2ac5af95c7ff9ea1
https://doi.org/10.1360/aas-007-0546
https://doi.org/10.1360/aas-007-0546
Autor:
Yang-Dong Wu, Li-Fang Wang
Publikováno v:
ICMLC
In the face of openness and dynamics of collaborative product development, owing to resource space model could manage isomerous distributed knowledge and operate them, utilizing these characteristics, resource space model is used in knowledge modelin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec2b275f6cdc422c5809eb1afdcbceee
https://doi.org/10.1109/icmlc.2010.5580977
https://doi.org/10.1109/icmlc.2010.5580977
Publikováno v:
2006 International Conference on Machine Learning and Cybernetics.
In order to satisfy diverse customer requirements with reasonable costs and high quality, as well as share and exchange information of part and product among collaborators, take master structure of product family and parts library standard into accou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::205053ff93df87cb62b95371425ea003
https://doi.org/10.1109/icmlc.2006.258768
https://doi.org/10.1109/icmlc.2006.258768
Publikováno v:
2006 International Conference on Machine Learning & Cybernetics; 2006, p1512-1516, 5p