Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Bingquan Chen"'
Autor:
Bingquan Chen, Peng Shi, Hongsheng Li, Hongxiu Gao, Ruirong Wang, Peng Gao, Xufei Wu, Jun Yue
Publikováno v:
IEEE Photonics Journal, Vol 14, Iss 1, Pp 1-10 (2022)
This investigation is aiming at the development of a method for in-situ 3D imaging and reconstructions of objects in the rain. The proposed method is based on the use of monochromatic sinusoidal fringe pattern generated by the designed optical system
Externí odkaz:
https://doaj.org/article/76e9144e885a486dbb2be433cfb8a0ad
Publikováno v:
Shock and Vibration, Vol 2023 (2023)
Remaining useful life prediction of a milling tool is one of the determinants in making scientific maintenance decision for the CNC machine tool. Predicting the RUL accurately can improve machining efficiency and the quality of product. Deep learning
Externí odkaz:
https://doaj.org/article/ad650cd19851434f9e5c49c6212c4e15
Autor:
Xingbo Cai, Bin Wang, Bihuan Zhang, Yue Zhang, Teng Wang, Wei Lin, Youjun Huang, Bingquan Chen, Siyuan Zhou, Sheng Lu, Yongqing Xu
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 10 (2023)
Background: Total wrist arthroplasty is an effective treatment for end-stage wrist arthritis from all causes. However, wrist prostheses are still prone to complications such as prosthesis loosening and periprosthetic fractures after total wrist arthr
Externí odkaz:
https://doaj.org/article/1e89f78d5cb043afa8aded3e7b4d0718
Autor:
Bingquan Chen, Peng Shi, Yanhua Wang, Yongze Xu, Hongyang Ma, Ruirong Wang, Chunhong Zheng, Pengcheng Chu
Publikováno v:
Sensors, Vol 21, Iss 19, p 6587 (2021)
In this study, we focus on the 3D surface measurement and reconstruction of translucent objects. The proposed approach of surface-shape determination of translucent objects is based on the combination of the projected laser-beam-based sinusoidal stru
Externí odkaz:
https://doaj.org/article/950b17e42ef34c6090034f6014b70221
Publikováno v:
Dianxin kexue, Vol 33, Pp 45-52 (2017)
Based on the existing threshold denoising algorithm,a threshold denoising algorithm based on the new symbolic function was proposed.The new threshold function has advantages of continuous guidance,small deviation of wavelet coefficient,strong thresho
Externí odkaz:
https://doaj.org/article/b097795e56524c1aad049d965a976f7e
Publikováno v:
Photonics, Vol 8, Iss 6, p 178 (2021)
In this study, both theoretical analysis and experimental validation are carried out for 3D surface measurement under different indoor/outdoor environmental conditions via combining the projected laser-beam-based sinusoidal optical signal, the optica
Externí odkaz:
https://doaj.org/article/def8546f43f342cca76c76b9fade0b4a
Publikováno v:
Sensors, Vol 21, Iss 7, p 2529 (2021)
This work presents a new approach of surface measurement of human face via the combination of the projection of monochromatic structured light, the optical filtering technique, the polarization technique and the Fourier-transform-based image-processi
Externí odkaz:
https://doaj.org/article/2998ca6c6fd3486289c0b4ee0a996a5b
Publikováno v:
IEEE Transactions on Automatic Control. 68:1215-1222
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e339db4f871858838fd6851b960d621
https://doi.org/10.1109/tac.2022.3151237
https://doi.org/10.1109/tac.2022.3151237
Publikováno v:
IEEE Transactions on Cybernetics. 52:10290-10301
In this article, we study the finite-time stabilization and the asymptotic stabilization with probability one of Markovian jump Boolean control networks (MJBCNs) by sampled-data state feedback controls (SDSFCs). Based on the semi-tensor product (STP)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a74d817705ccb0313551620f06f22d00
https://doi.org/10.1109/tcyb.2021.3069750
https://doi.org/10.1109/tcyb.2021.3069750
Publikováno v:
IEEE transactions on control of network systems. 2022. Vol. 9, № 3. P. 1251-1260
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5dfb90de53384384a53fa3232ee8cb5
https://doi.org/10.1109/tcns.2022.3141023
https://doi.org/10.1109/tcns.2022.3141023