Evaluation of Knowledge Resource Service Ability Based on Robust Projection Pursuit - Principal Component Analysis under Cloud Manufacturing Environment

Nan Zhao; Hong Yu Shao

doi:10.4028/www.scientific.net/AMM.397-400.42

Paper Titles

Software Framework for Advanced Error Troubleshooting in Flexible Manufacturing System
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The Study of Production Process System of New Multi-Feature Continuous Reel Soft Pack Trademarks
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Tabu Search-Based Formation of Reconfigurable Manufacturing Cells
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Evaluation of Knowledge Resource Service Ability Based on Robust Projection Pursuit - Principal Component Analysis under Cloud Manufacturing Environment
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Formation of High Aspect Ratio Macropore Array on N-Type Silicon
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Dynamic Error Modeling Research of On-Machine Measurement System Based on Bayesian Network
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Study on a Green Manufacturing Process Design System
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Technology Research on the Fluidization Treatment of High-Titanium Slag to Manufacture Synthetic Rutile
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 397-400Evaluation of Knowledge Resource Service Ability...

Evaluation of Knowledge Resource Service Ability Based on Robust Projection Pursuit - Principal Component Analysis under Cloud Manufacturing Environment

Abstract:

According to the current situations of the unorganized and disorderly design knowledge as well as the weak innovation capability for SMEs under cloud manufacturing environment, and aiming at combining the design knowledge into ordered knowledge resource series, the service ability assessment model of knowledge resource was eventually proposed, and moreover, the Projection Pursuit-Principal Component Analysis (PP-PCA) algorithm for service ability assessment was further designed. The study in this paper would contribute to the realization of the effectiveness and accuracy of the knowledge push service, which exhibited a significant importance for improving the reuse efficiency of knowledge resources and knowledge service satisfaction under the cloud manufacturing environment.

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Periodical:

Applied Mechanics and Materials (Volumes 397-400)

Pages:

42-46

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.397-400.42

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Online since:

September 2013

Authors:

Nan Zhao, Hong Yu Shao

Keywords:

Cloud Manufacturing, Knowledge Resource, Projection Pursuit, Service Ability

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References

[1] Li Bohu, Zhang Lin, WANG Shilong, et al. Cloud manufacturing: a new service-oriented networked manufacturing model [J]. Computer Integrated Manufacturing Systems, 2010, 16(1): 1-7, (in Chinese).

Google Scholar

[2] Common key technology system of cloud manufacturing service platform for small and medium enterprises [J]. Computer Integrated Manufacturing Systems, 2011, 17(3): 495-503， (in Chinese).

Google Scholar

[3] Dustdar S, Schreiner W. A survey on web services composition. International Journal of Web and Grid Services, 2005, 1(1): 1~30.

DOI: 10.1504/ijwgs.2005.007545

Google Scholar

[4] HU Yefa, TAO Fei, ZHOU Zude. Manufacturing Grid Resource Service Trust-QoS Evaluation and Application [J]. Chinese Journal of Mechanical Engineering, 2007, 43(12): 19-27, (in Chinese).

DOI: 10.3901/jme.2007.12.203

Google Scholar

[5] Li Sen-xing, Shi Yong, Zhang Ling-ling. From Knowledge explosion to intelligent knowledge management [M]. Beijing: Science Press, 2010, (in Chinese).

Google Scholar