Zobrazeno 1 - 10
of 229
pro vyhledávání: '"Wenhua Jiao"'
Publikováno v:
Applied Sciences, Vol 14, Iss 18, p 8284 (2024)
Geological anomalies within the working face likely induce geological disasters, such as water, gas, and coal mine roof fall, directly impacting the rational planning and safe mining of underground resources. Constrained by the conditions of undergro
Externí odkaz:
https://doaj.org/article/6718dd76deec4c07bfe28922dac17b7a
Publikováno v:
AIP Advances, Vol 14, Iss 1, Pp 015145-015145-14 (2024)
Identifying the parameters of solar photovoltaic (PV) cell models accurately and reliably is crucial for simulating, evaluating, and controlling PV systems. For this reason, we present an improved chimp optimization algorithm (IChOA) for the generati
Externí odkaz:
https://doaj.org/article/d5be23c95c924af9812d002f8aff3fe3
Publikováno v:
In Process Safety and Environmental Protection June 2023 174:531-547
Publikováno v:
Mathematics, Vol 12, Iss 7, p 957 (2024)
Surface defects on the permanent magnetic ferrite magnet rotor are the primary cause for the decline in performance and safety hazards in permanent magnet motors. Machine-vision methods offer the possibility to identify defects automatically. In resp
Externí odkaz:
https://doaj.org/article/2ff8d31913fb4d5aa4f134b57c4badf6
Publikováno v:
Soft Robotics; Jun2023, Vol. 10 Issue 3, p580-589, 10p
Publikováno v:
Soft robotics.
Soft robotic hands are inherently safer and more compliant in robot-environment interaction than rigid manipulators, but their flexibility and versatility still need improving. In this article, a gesture adaptive soft-rigid robotic hand is proposed.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2ab48aac9284652f387f6b65b8ac58b
https://pubmed.ncbi.nlm.nih.gov/36459109
https://pubmed.ncbi.nlm.nih.gov/36459109
Publikováno v:
Advanced Engineering Informatics. 56:101988
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f6df591a82f0e4408d3c66888b05b51
https://doi.org/10.1016/j.aei.2023.101988
https://doi.org/10.1016/j.aei.2023.101988
Publikováno v:
Journal of Manufacturing Processes. 63:191-197
Weld penetration identification is a long-standing and challenging problem due to the spatial limitation in sensing the back-side of weld joints in practical welding, and the key characteristic information of welding is difficult to be defined and ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ef6e05110c176e7e2515ee97d46bc03
https://doi.org/10.1016/j.jmapro.2020.01.044
https://doi.org/10.1016/j.jmapro.2020.01.044
Publikováno v:
Journal of Manufacturing Processes. 63:2-13
Over the past decade, machine learning and deep learning have been increasingly reshaping manufacturing towards smart manufacturing. This paper aims to provide a tutorial for researchers to understand the basic principles of deep learning and its app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2796d7f4759cb3eb36eb5d98c078d460
https://doi.org/10.1016/j.jmapro.2020.04.044
https://doi.org/10.1016/j.jmapro.2020.04.044
Publikováno v:
IEEE/CAA Journal of Automatica Sinica. 8:334-343
This paper presents an innovative investigation on prototyping a digital twin (DT) as the platform for human-robot interactive welding and welder behavior analysis. This human-robot interaction (HRI) working style helps to enhance human users' operat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cfa9c227880b6cd0f6893de0091ad94
https://doi.org/10.1109/jas.2020.1003518
https://doi.org/10.1109/jas.2020.1003518