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9 results on '"Duan, Jifang"'

2. Machine learning techniques for 3D data analysis

Author

Duan, Jifang

Subjects
621.3
Abstract

The aim of the research in this thesis is to investigate and develop machine learning classification and recognition techniques for application in the field of 3D data analysis. The research focuses on three topics using two different types of data: 3D force touch panel display data for user touch behaviour classification, Light Detection and Ranging (LiDAR) 3D point cloud data for sphere recognition and for complex 3D object segmentation and recognition. In the research on 3D force touch detection data on piezoelectric-based interactive panel displays, a nested structured deep neural network is proposed to provide customised touch behaviour analysis. This is a new application of deep learning technology in piezoelectric-based 3D force sensing. In the research on sphere recognition, artificial neural network-based and Range-based novel recognition algorithms are proposed. The Range method is proved to be time efficient and memory saving compared to conventional methods, whereas the ANN-based method is found not to be optimal for dealing with the sphere recognition problem as this problem can be easily simplified into pure mathematical models. In the research on 3D object segmentation and recognition, an automated approach that takes the raw LiDAR scanning data as input and outputs the recognised 3D objects is proposed. This method consists of the following three steps: plane detection, object segmentation, and object recognition. In order to reduce the processing time and the computational complexity of the algorithm to make it possible to run in a reasonable time on an individual processing device with limited memory and computing resources, a novel plane detection approach is proposed. A fast voxel grid-base region growing method is applied to object segmentation. Novel convolutional neural network architectures that take volumetric representation of 3D objects with small voxel grid sizes as inputs are also implemented in the system.

Published
2019

4. The Effects of Emotional Labor on Work Strain and Nonwork Strain Among Dancers: A Person-Centered Approach

Author

Liu,Xiaohui, He,Tingxin, Yu,Siqi, Duan,Jifang, Gao,Ruixiang, Liu,Xiaohui, He,Tingxin, Yu,Siqi, Duan,Jifang, and Gao,Ruixiang

Abstract

Xiaohui Liu,1 Tingxin He,2 Siqi Yu,1 Jifang Duan,3 Ruixiang Gao2,4 1School of Music, South China Normal University, Guangzhou, 510006, People’s Republic of China; 2Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, and School of Psychology, South China Normal University, Guangzhou, 510631, People’s Republic of China; 3School of Chinese Language and Literature, South China Normal University, Guangzhou, 510006, People’s Republic of China; 4Empirical Research Center for Aesthetics and Aesthetic Education, South China Normal University, Guangzhou, 510631, People’s Republic of ChinaCorrespondence: Jifang Duan, School of Chinese Language and Literature, South China Normal University, No. 378, Waihuan West Road, University Town, Panyu District, Guangzhou, Guangdong Province, 510006, People’s Republic of China, Email duanjifang@163.com Ruixiang Gao, Empirical Research Center for Aesthetics and Aesthetic Education, South China Normal University, No. 55, West of Zhongshan Avenue, Tianhe District, Guangzhou, Guangdong Province, 510631, People’s Republic of China, Email ruixianggao@m.scnu.edu.cnIntroduction: Emotional labor is an important research area, but four key gaps remain regarding outcomes of nonwork strains, explanatory frameworks beyond the conservation of resources theory, adoption of person-centered approaches, and subjects of performers.Methods: By surveying 183 Chinese dance students, we employed cluster analysis to examine the adoption of emotional labor strategies (ie, surface acting, deep acting, and expression of naturally felt emotions) and to explore the outcomes on work strain (ie, emotional exhaustion and reduced flow experience) and nonwork strain (ie, depression and anxiety) with introducing the allostatic load theory as an analytical basis.Results: Four types of emotional workers were identified, namely, flexible regulators (33.33%), authentic regulators (15.85%), display rules c

Published
2023

5. How the Althusserian Critics Inherit and Develop Marx's Thought of Artistic Production.

Author

Duan Jifang

Subjects
IDEOLOGY, MARXIST philosophy, LITERARY theory, LITERARY research, TEXTUAL criticism, ART theory, ECOCRITICISM
Abstract

How Althusserian critics inherited and developed Marx's thought of artistic production is an important theoretical issue in the development of Marxist theory on literature and art. Louis Althusser, Pierre Macherey and Terry Eagleton put forward important theoretical concepts such as "symptomatic criticism", "silence" and "aesthetic ideological criticism" within the framework of Marxist philosophy and ideology, expanding Marx's thought of artistic production in the light of the relation between ideology and aesthetic discourses, and thus they have enriched the theoretical connotation of Marx's theory and promoted the thought of artistic production, enabling it to take root in textual criticism and move towards more specific literary research. A delineation of this issue and summarization of its theoretical implications in the development of Marxist literary theory may illuminate contemporary interpretation of classical Marxist literary theory. [ABSTRACT FROM AUTHOR]

Published
2021

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