Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Jinying Huang"'
Autor:
Jinghua Li, Rui Luo, Pengyue Guo, Dexing Zhang, Phoenix K. H. Mo, Anise M. S. Wu, Meiqi Xin, Menglin Shang, Yuqi Cai, Xu Wang, Mingyu Chen, Yiling He, Luxin Zheng, Jinying Huang, Roman Dong Xu, Joseph T. F. Lau, Jing Gu, Brian J. Hall
Publikováno v:
Epidemiology and Psychiatric Sciences, Vol 33 (2024)
Abstract Aims To examine the effectiveness of Self-Help Plus (SH+) as an intervention for alleviating stress levels and mental health problems among healthcare workers. Methods This was a prospective, two-arm, unblinded, parallel-designed randomised
Externí odkaz:
https://doaj.org/article/20e171c3ed6545178c1db4f7a111d476
Autor:
Xiwang Yang, Xiaoyan Xu, Yarong Wang, Siyuan Liu, Xiong Bai, Licheng Jing, Jiancheng Ma, Jinying Huang
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4785 (2024)
Mechanical condition monitoring data in real engineering are often severely unbalanced, which can lead to a decrease in the stability and accuracy of intelligent diagnosis methods. In this paper, a fault diagnosis method based on the SMOTE + Tomek Li
Externí odkaz:
https://doaj.org/article/835f42ee9861479fa99742cea3f69bc6
Publikováno v:
Energies, Vol 16, Iss 23, p 7731 (2023)
To address the issue of metal foreign objects interfering with the charging area and causing a significant drop in the Wireless Power Transfer system’s output power, a method to suppress their influence is proposed. First, a circuit model with dete
Externí odkaz:
https://doaj.org/article/cad70fa837bf461a9d897dea20fc2304
Autor:
Rui Luo, Pengyue Guo, Menglin Shang, Yuqi Cai, Jinying Huang, Yiling He, Phoenix K.H. Mo, Anise M.S. Wu, Roman Dong Xu, Jinghua Li, Joseph T.F. Lau, Jing Gu
Publikováno v:
Internet Interventions, Vol 28, Iss , Pp 100541- (2022)
Background: Public health emergencies may lead to severe psychological stress, especially for healthcare workers, including frontline healthcare workers and public health workers. However, few stress management interventions have been implemented for
Externí odkaz:
https://doaj.org/article/c733f848bad24a39acbb7bf287b2f613
Autor:
Kai Yang, Jinying Huang
Publikováno v:
Jixie chuandong, Vol 45, Pp 147-152 (2021)
An 8-DOF manipulator with prismatic pair is proposed for space environment, which can complete equipment maintenance and object grabbing in space environment. The pose transformation matrix and forward kinematics equation of 8-DOF manipulator are d
Externí odkaz:
https://doaj.org/article/03b28557c294453f9d7cb086fd18bc9c
Publikováno v:
Applied Sciences, Vol 12, Iss 22, p 11410 (2022)
Multi-view information fusion can provide more accurate, complete and reliable data descriptions for monitoring objects, effectively improve the limitations and unreliability of single-view data. Existing multi-view information fusion based on deep l
Externí odkaz:
https://doaj.org/article/e5d18d7dc3fb45b2b89e686e391c9fd6
Publikováno v:
Applied Sciences, Vol 12, Iss 16, p 8388 (2022)
Deep neural network (DNN), with the capacity for feature inference and nonlinear mapping, has demonstrated its effectiveness in end-to-end fault diagnosis. However, the intermediate learning process of the DNN architecture is invisible, making it an
Externí odkaz:
https://doaj.org/article/e5ad100ad883480897f8faf115e1b71a
Autor:
Haofeng Xu, Xuhao Zhu, Zhishan Zhou, Yanjun Xu, Yongjian Zhu, Lifeng Lin, Jinying Huang, Ruilin Meng
Publikováno v:
BMC Public Health, Vol 19, Iss 1, Pp 1-7 (2019)
Abstract Background Drowning is a leading cause of accidental death in children under 14 years of age in Guangdong, China. We developed a statistical model to classify the risk of drowning among children based on the risk factors. Methods A multiple-
Externí odkaz:
https://doaj.org/article/580b36102dc449b29c95aa2cb3b9add4
Publikováno v:
Entropy, Vol 22, Iss 8, p 851 (2020)
In view of the limitations of existing rotating machine fault diagnosis methods in single-scale signal analysis, a fault diagnosis method based on multi-scale permutation entropy (MPE) and multi-channel fusion convolutional neural networks (MCFCNN) i
Externí odkaz:
https://doaj.org/article/0122c692a6ba4f9dad158c5d96166a7a
Publikováno v:
Sensors, Vol 19, Iss 9, p 2034 (2019)
Rolling bearings are the core components of rotating machinery. Their health directly affects the performance, stability and life of rotating machinery. To prevent possible damage, it is necessary to detect the condition of rolling bearings for fault
Externí odkaz:
https://doaj.org/article/bd00b0d71f1c40daa72dc56a06444946