Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Yuanqiang Liu"'
Publikováno v:
Applied Sciences, Vol 14, Iss 21, p 10044 (2024)
This study experimentally investigated the effects of selected factors on the bending moment capacity (BMC) of case furniture joints. The main aim was to explore mixed applications of wood-based materials and fasteners in manufacturing case furniture
Externí odkaz:
https://doaj.org/article/493222b2c3c5459fadd03a7da0d7db6a
Publikováno v:
Aerospace, Vol 10, Iss 10, p 903 (2023)
Surface suction provides an efficient way to delay boundary layer transitions. In order to verify the suction effects and determine the mechanism of suction control in transonic swept wing boundary layers, wind tunnel transition measurements in a hyb
Externí odkaz:
https://doaj.org/article/6825d2c0b0e8401eb729bbf6b133c509
Publikováno v:
IEEE Access, Vol 8, Pp 184426-184436 (2020)
The connected vehicle environment is significant for the future road network. For constructing the connected vehicle environment, real-time data acquirement is always the prerequisite. Recently, using Light Detection and Ranging (LiDAR)-based roadsid
Externí odkaz:
https://doaj.org/article/e62fec85108b481d98527b9af6df4955
Autor:
Qingliang ZENG, Guangyu ZHOU, Jifei SHI, Yongqing LI, Yuanqiang LIU, Tianming CHEN, Liang WANG
Publikováno v:
Mechanics. 28:308-316
Workspace analysis is an indispensable part of robot research. The workspace volume is an important factor to measure the working ability of parallel robot. In order to maximize the workspace of parallel robot, this paper solves the workspace of robo
Publikováno v:
Proceedings of the ACM SIGCOMM 2022 Conference.
Publikováno v:
IEEE Access, Vol 8, Pp 184426-184436 (2020)
The connected vehicle environment is significant for the future road network. For constructing the connected vehicle environment, real-time data acquirement is always the prerequisite. Recently, using Light Detection and Ranging (LiDAR)-based roadsid
Autor:
Yuanqiang Liu, Huaiguo Jing
Publikováno v:
Mobile Information Systems.
These days, many researchers are interested in sports video behavior recognition (SVBR), which has emerged as a core research domain for visual understanding and analysis of athlete performance. Despite significant results in simple scenarios, SVBR r
Autor:
Xin Li, Yiwen Qi, Tienan Zhao, Yuanqiang Liu, Lei Zhang, Hai Xu, Wenke Yu, Xiujuan Zhao, Chi Zhang
Publikováno v:
2021 China Automation Congress (CAC).
Publikováno v:
EMDL@MobiSys
We are witnessing the emergence of ubiquitous learning, where each device (smartphones, wearables, IoTs, etc) can learn from their environments either alone or collaboratively. Such a new paradigm is enabled by deep learning techniques, or more speci
Publikováno v:
ICSE: International Conference on Software Engineering; 5/22/2021, p674-685, 12p