scholarly journals Morphological Bias of Ancient Artifacts: A Case Study of Incense Burners in Ming and Qing Dynasties

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yu-Fu Chen ◽  
Jie Wei

This study verifies the relevance of the combination of traditional Chinese artifacts and perceptual semantic research. It provides new research ideas to study the Chinese artifact culture. Moreover, it helps people to understand the cultural spirit better and design crystallization of traditional artifacts. This study considered Chinese traditional incense burners in Ming and Qing dynasties to adopt morphological analysis and affinity diagram to select representative experimental samples. Furthermore, this research applied the perceptual engineering theory to explore the relation between design group’s description of perceptual semantics and the shape of incense burners. The focuses were the design group on the shape and style of ancient artifacts in aesthetic consideration. According to the results of semantic principal component analysis, the perceptual semantic bias of the design group towards incense burners was concentrated, which is related to the style acceptance of incense burners. Among these related incense burner styles, the design group paid more attention to the proportional design of “incense burner foot” in the perceptual bias of incense burner shape and preferred the proportional incense burner shape of “long foot.”

2010 ◽  
Vol 4 (1-2) ◽  
pp. 239-247 ◽  
Author(s):  
Emmanuel A. Ariyibi ◽  
Samuel L. Folami ◽  
Bankole D. Ako ◽  
Taye R. Ajayi ◽  
Adebowale O. Adelusi

2011 ◽  
Vol 3 (1) ◽  
pp. 144-155 ◽  
Author(s):  
Nikolai Kuhnert ◽  
Rakesh Jaiswal ◽  
Pinkie Eravuchira ◽  
Rasha M. El-Abassy ◽  
Bernd von der Kammer ◽  
...  

Water ◽  
2018 ◽  
Vol 10 (4) ◽  
pp. 437 ◽  
Author(s):  
Ana Marín Celestino ◽  
Diego Martínez Cruz ◽  
Elena Otazo Sánchez ◽  
Francisco Gavi Reyes ◽  
David Vásquez Soto

Author(s):  
Petr Praus

In this chapter the principals and applications of principal component analysis (PCA) applied on hydrological data are presented. Four case studies showed the possibility of PCA to obtain information about wastewater treatment process, drinking water quality in a city network and to find similarities in the data sets of ground water quality results and water-related images. In the first case study, the composition of raw and cleaned wastewater was characterised and its temporal changes were displayed. In the second case study, drinking water samples were divided into clusters in consistency with their sampling localities. In the case study III, the similar samples of ground water were recognised by the calculation of cosine similarity, the Euclidean and Manhattan distances. In the case study IV, 32 water-related images were transformed into a large image matrix whose dimensionality was reduced by PCA. The images were clustered using the PCA scatter plots.


Sign in / Sign up

Export Citation Format

Share Document