Painting Art Style Rendering System Based on Information Intelligent Technology

2021 ◽  
pp. 322-330
Author(s):  
Tao Zhang
Keyword(s):  
Intelligent Technology ◽  
Art Style

Intelligent technology in grinding process driven by data: A review

2020 ◽  
Vol 58 ◽  
pp. 1039-1051
Author(s):  
Lishu Lv ◽  
Zhaohui Deng ◽  
Tao Liu ◽  
Zhongyang Li ◽  
Wei Liu
Keyword(s):  
Grinding Process ◽  
Intelligent Technology

AN INTELLIGENT TECHNOLOGY BASED METHOD FOR INTERPRETING SENSORY EVALUATION DATA PROVIDED BY MULTIPLE PANELS

2008 ◽  
Vol 16 (05) ◽  
pp. 683-698
Author(s):  
BIN ZHOU ◽  
XIANYI ZENG ◽  
LUDOVIC KOEHL ◽  
YONGSHENG DING
Keyword(s):  
Fuzzy Numbers ◽  
Data Sets ◽  
Sensory Data ◽  
Fabric Hand ◽  
Different Populations ◽  
Intelligent Technology ◽  
Fuzzy Distances ◽  
Data Variation ◽  
Fabric Hand Evaluation

This paper presents an intelligent technology based method for analyzing and interpreting sensory data provided by multiple panels in evaluation of industrial products. In order to process the uncertainty existing in these sensory data, we first transform all sensory data on an unified optimal scale. Based on these normalized data sets, we compute the dissimilarities or distances between different panels and between different evaluation terms used by them, defined according to the degree of consistency of data variation. The obtained distances are then transformed into fuzzy numbers for physical interpretation. These fuzzy distances permit to characterize the evaluation behaviour of each panel and the quality of the evaluation terms used. Also, based on a Genetic Algorithm with punishment policy and the dissimilarity between terms, we develop a procedure for interpreting terms of one panel using those of another panel. This method has been applied to the fabric hand evaluation for a number of samples of knitted cotton in order to identify consumers' preference of different populations.

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