Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Fei Yun Xu"'
Publikováno v:
AI in Learning: Designing the Future ISBN: 9783031096860
Common classroom teaching analysis, which has focused on counting and coding the teacher-student behaviors and discourse interactions, faces many difficulties as content-free, low efficiency, and small scale in analysis. To overcome these shortcoming
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3db293b0e434e8f3a9906336d91f0158
https://doi.org/10.1007/978-3-031-09687-7_7
https://doi.org/10.1007/978-3-031-09687-7_7
Autor:
Xing Huang, Fei Yun Xu
Publikováno v:
Applied Mechanics and Materials. :1260-1263
A crane strain acquisition system based on ZigBee wireless sensor network and WiFi is built to monitor the stress state of the cranes in real-time. The star topology is selected as the wireless communication architecture. The endpoint nodes are respo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e79de07d60a37ac1a268cf2e1d5e978
https://doi.org/10.4028/www.scientific.net/amm.401-403.1260
https://doi.org/10.4028/www.scientific.net/amm.401-403.1260
Publikováno v:
Advanced Materials Research. :2517-2522
Aiming at the problems of Tucker3 to large-scale tensor when applied to feature extraction, a new factorization based on Tucker3 is proposed to extract feature from the tensors. First, the large-scale tensor is divided into multiple sub-tensors so as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a393caf5b3ee243712060c362519cd7
https://doi.org/10.4028/www.scientific.net/amr.308-310.2517
https://doi.org/10.4028/www.scientific.net/amr.308-310.2517
Publikováno v:
Advanced Materials Research. :2132-2143
In this paper, a novel approach is proposed to extract features from the bispectra of mechanical fault signals using non-negative tensor factorization (NTF) for the purpose of establishing an intrinsic relationship between mechanical faults and extra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60c5476f17728c1deb37745a63dcb404
https://doi.org/10.4028/www.scientific.net/amr.201-203.2132
https://doi.org/10.4028/www.scientific.net/amr.201-203.2132
Autor:
Jin-lu Ji, Fei-yun Xu
Publikováno v:
2010 International Conference on Mechanic Automation and Control Engineering.
A new characteristic extracting approach based on orthogonality non-negative matrix factorization with principle component analysis solving the initialization problem (PCAONMF) is presented. The research for this algorithm is added the orthogonality
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4982037e91966b83e80b567584cf5fe3
https://doi.org/10.1109/mace.2010.5535850
https://doi.org/10.1109/mace.2010.5535850