Results 191 to 200 of about 9,198 (256)

Physics-Informed Monotonic Conformer for Remaining Useful Life Prediction of Hydraulic Systems. [PDF]

Sensors (Basel)
He X, Zhang C, Wang J, Zhao X, Yao J, Lu C, Yang X.   +6 more
europepmc   +1 more source

Bionic Energy-Efficient Inverse Kinematics Method Based on Neural Networks for the Legs of Hydraulic Legged Robots. [PDF]

Biomimetics (Basel)
She J, Feng X, Xu B, Chen L, Wang Y, Liu N, Zou W, Ma G, Yu B, Ba K.   +9 more
europepmc   +1 more source

Low-pressure storms drive nitrous oxide emissions in the Southern Ocean. [PDF]

Nat Commun
Kelly CL, Chang BX, Emmanuelli AF, Park ER, Macdonald AM, Nicholson DP.   +5 more
europepmc   +1 more source

Design and Experimental Validation of a Novel Parallel Compliant Ankle for Quadruped Robots. [PDF]

Biomimetics (Basel)
Hua Z, Cheng Y, Rong X.
europepmc   +1 more source

A double closed loop digital hydraulic cylinder position system based on switching active disturbance rejection control. [PDF]

Sci Rep
Jiang S, Zhao G, Huang F, Liu W, Chen Y, Zhang L.   +5 more
europepmc   +1 more source

Improving the performance of multifocal diffractive lens designs by adding a peripheral piston. [PDF]

Biomed Opt Express
Goswami S, Zou T, Aissati S, Gandara-Montano G, Zheleznyak L, Marcos S.   +5 more
europepmc   +1 more source

Experimental investigation of tunnel fire spread under moving fire source conditions. [PDF]

PLoS One
Wang T, Qin Y, Zhang Z, Xiang Y, Zhu X, Fan T.   +5 more
europepmc   +1 more source

Modeling of dynamic responses of arresting gear and its sensitivity study based on BP neural network optimized by Whale optimization algorithm. [PDF]

Sci Rep
Deng Q, Wang J, Gai J, Jian Y, Wang Y, Zheng M.   +5 more
europepmc   +1 more source

Large-scale piston error detection technology for segmented optical mirrors via convolutional neural networks

Optics Letters, 2019
In the cophasing of the segmented optical mirrors, the Shack-Hartmann wavefront sensor is not sensitive to the submirror piston error and the large range piston errors beyond the cophasing detection range of phase diversity algorithm. It is necessary to introduce specific sensors (e.g., microlenses or prisms), but they greatly increase the complexity ...
Dequan Li, Shuyan Xu, Dong Wang, Dejie Yan   +3 more
exaly   +5 more sources