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“Composition” and regularisation of architectural production in contemporary China

Hua LI

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 4, Pages 465-473 doi: 10.1007/s11709-010-0097-z

Abstract: The purpose of this paper is to explore how the “Beaux-Arts” “composition” sustained the constitution“Composition”, a key technique of the “Beaux-Arts” system, is not a simple act of “putting elements together

Keywords： composition “Beaux-Arts” regulate architectural production

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On Qian Xuesen's Thought About Science and Fine Arts

Qian Xuemin

Strategic Study of CAE 2001, Volume 3, Issue 11, Pages 1-9

Abstract: of science and technology, the article focuses on his idea of the relation between science and fine artsScience and fine arts are both different from each other and interlinked.

Keywords： quantity intelligence quality intelligence scientific thinking artistic thinking metasynthetic wisdom

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Cantonese porcelain classification and image synthesis by ensemble learning and generative adversarial network Special Feature on Intelligent Design

Steven Szu-Chi CHEN, Hui CUI, Ming-han DU, Tie-ming FU, Xiao-hong SUN, Yi JI, Henry DUH

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 12, Pages 1632-1643 doi: 10.1631/FITEE.1900399

Abstract: Accurate recognition of modern and traditional porcelain styles is a challenging issue in Cantonese porcelain management due to the large variety and complex elements and patterns. We propose a hybrid system with porcelain style identification and image recreation modules. In the identification module, prediction of an unknown porcelain sample is obtained by logistic regression of ensembled neural networks of top-ranked design signatures, which are obtained by discriminative analysis and transformed features in principal components. The synthesis module is developed based on a conditional generative adversarial network, which enables users to provide a designed mask with porcelain elements to generate synthesized images of Cantonese porcelain. Experimental results of 603 Cantonese porcelain images demonstrate that the proposed model outperforms other methods relative to precision, recall, area under curve of receiver operating characteristic, and confusion matrix. Case studies on image creation indicate that the proposed system has the potential to engage the community in understanding Cantonese porcelain and promote this intangible cultural heritage.

Keywords： Cantonese porcelain Classification Generative adversarial network Creative arts