Zobrazeno 1 - 10
of 293
pro vyhledávání: '"Hanjun Jiang"'
Publikováno v:
IET Circuits, Devices and Systems, Vol 17, Iss 3, Pp 174-179 (2023)
Externí odkaz:
https://doaj.org/article/f2f20b913d78450b90eaeb5fd204dc78
Publikováno v:
IEEE Access, Vol 11, Pp 38436-38447 (2023)
Tractor-implement combination generally involve the forward and reverse motion to perform the required task, which causes the tractor to frequently change its direction of movement. Automating the shuttle shifting process can reduce the labor intensi
Externí odkaz:
https://doaj.org/article/3a16b886d1a3497bacafbe47c316de55
Publikováno v:
Machines, Vol 11, Iss 4, p 438 (2023)
The speed ratio parameters of transmission are crucial factors that affect a vehicle’s power, economy, and comfort. Due to the complex working conditions, multiple working modes, and wide range of speed ratios of agricultural tractors, designing an
Externí odkaz:
https://doaj.org/article/dc365f9e36304e9fa9177e56aa7613ce
Publikováno v:
InfoMat, Vol 2, Iss 6, Pp 1077-1094 (2020)
Abstract Two‐dimensional (2D) materials have great potential in the fields of flexible electronics and photoelectronic devices due to their unique properties derived by special structures. The study of the mechanical properties of 2D materials play
Externí odkaz:
https://doaj.org/article/54474b2fbb7541b58d976853df04b337
Autor:
Xue Zheng, Chun Zhang, Ping Chen, Kang Zhao, Hanjun Jiang, Zhiwei Jiang, Huafeng Pan, Zhihua Wang, Wen Jia
Publikováno v:
IEEE Access, Vol 8, Pp 157892-157905 (2020)
In this article, we set up a novel audio dataset named Gastrointestinal (GI) Sound Set which includes 6 kinds of body sounds Bowel sound, Speech, Snore, Cough, Groan, and Rub. We do sound event detection (SED) based on it, and can accurately detect 6
Externí odkaz:
https://doaj.org/article/3b062b51009342fca76738e578672d9e
Autor:
Fasih Ud Din Farrukh, Chun Zhang, Yancao Jiang, Zhonghan Zhang, Ziqiang Wang, Zhihua Wang, Hanjun Jiang
Publikováno v:
IEEE Open Journal of Circuits and Systems, Vol 1, Pp 76-87 (2020)
Convolutional Neural Network (CNN) has attained high accuracy and it has been widely employed in image recognition tasks. In recent times, deep learning-based modern applications are evolving and it poses a challenge in research and development of ha
Externí odkaz:
https://doaj.org/article/4399c3d1392f42e6857ae5b3ac56c332
Autor:
Yue Li, Yuan Wei, Yabao Yang, Lu Zheng, Lei Luo, Jiuwei Gao, Hanjun Jiang, Juncai Song, Manzhang Xu, Xuewen Wang, Wei Huang
Publikováno v:
Research, Vol 2022 (2022)
Flexible and wearable pressure sensors attached to human skin are effective and convenient in accurate and real-time tracking of various physiological signals for disease diagnosis and health assessment. Conventional flexible pressure sensors are con
Externí odkaz:
https://doaj.org/article/8f7cb0233fb4498e9ad030dc3f264a84
Publikováno v:
Advances in Mechanical Engineering, Vol 9 (2017)
Based on the elasto-hydrodynamic lubrication theory, a 2-degree-of-freedom nonlinear dynamic model of helical gears with double-sided film is proposed, in which the minimum film thickness behaves as a function of load parameters, lubricant parameters
Externí odkaz:
https://doaj.org/article/732bbb7c9fbd43778fdfed3c3bb1e9d2
Publikováno v:
Sensors, Vol 19, Iss 18, p 3983 (2019)
Wi-Fi-based indoor position sensing solutions have the advantages of easy integration in mobile phones and low cost by using existing Wi-Fi access points. The mainstream methods are commonly based on the received signal strength indicator (RSSI), whi
Externí odkaz:
https://doaj.org/article/7d0200b74d21491b9b90076d925a5df0
A Wireless Visualized Sensing System with Prosthesis Pose Reconstruction for Total Knee Arthroplasty
Publikováno v:
Sensors, Vol 19, Iss 13, p 2909 (2019)
The surgery quality of the total knee arthroplasty (TKA) depends on how accurate the knee prosthesis is implanted. The knee prosthesis is composed of the femoral component, the plastic spacer and the tibia component. The instant and kinetic relative
Externí odkaz:
https://doaj.org/article/f6eb12a628ad4e83a240c161bfbc5d97