Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Lidong Xie"'
Publikováno v:
Advances in Civil Engineering, Vol 2020 (2020)
Explosives are the most common seismic source in seismic explorations, whose excitation effect is closely associated with their properties, weight, buried depth, and charging constitution. This study analyzes the influence of seismic source parameter
Externí odkaz:
https://doaj.org/article/88677a75e2bd49ddad6de7e0d05775df
Publikováno v:
Advances in Civil Engineering, Vol 2019 (2019)
The freezing-blasting method constitutes the only available technique for excavating mining shafts within water-bearing bedrock. This study explores the effects of vibration damage to young C65 concrete shaft linings caused by close-range blasting ex
Externí odkaz:
https://doaj.org/article/0570bf9c261a46038e22483c4885909b
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 14:1-21
Although deep learning techniques have achieved extraordinary accuracy in recognizing human faces, the pose variances of images captured in real-world scenarios still hinder reliable model appliance. To mitigate this gap, we propose to recognize face
Publikováno v:
2022 41st Chinese Control Conference (CCC).
Publikováno v:
2022 41st Chinese Control Conference (CCC).
Autor:
Lidong Xie, Guang Chen
Publikováno v:
Advances in Social Science, Education and Humanities Research.
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 719:032013
In order to increase the cross-section utilization rate of the deep shaft, a new type single-layer wall with connected steel plates has been invented. The numerical simulation method is used to analyze the coupling interaction between the steel plate
Autor:
Yi Wang, Guanyu Sun, Junbao Xia, Chengming Hao, Chunmei Li, Yiran Miao, Lidong Xie, Yi Li, Qi Zhang
Publikováno v:
Journal of Renewable and Sustainable Energy. 12:043701
To evaluate the performance of parabolic trough solar collectors (PTCs) and flat plate solar collectors (FPCs) by different thermal utilization methods, including building cooling, heating, and hot water supply, this study adopted the indices of the
Publikováno v:
Advanced Robotics. 28:907-918
Human action recognition is an essential ability for service robots to interact with human users. This paper presents a novel semi-supervised learning system for a service robot to recognise human actions and provide services. The multi-class co-trai
Publikováno v:
2012 IEEE International Conference on Computer Science and Automation Engineering (CSAE).
In this paper, we propose a semantic-understand-based, mapless navigation method for robots, which directly using the human navigation system — landmarks. This method locates and tracks landmarks via a color-based region segmentation algorithm, and