Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Junqi Gao"'
Publikováno v:
Sensors, Vol 24, Iss 11, p 3259 (2024)
Ferromagnetic pipes are widely used in the oil and gas industry. They are subject to cracks due to corrosion, pressure, and fatigue. It is significant to detect cracks for the safety of pipes. A residual magnetic field testing (RMFT) system is develo
Externí odkaz:
https://doaj.org/article/d593e6c030e247c495b28b9ab89aea4f
Publikováno v:
Actuators, Vol 10, Iss 6, p 109 (2021)
Multiferroic magnetoelectric (ME) materials with the capability of coupling magnetization and electric polarization have been providing diverse routes towards functional devices and thus attracting ever-increasing attention. The typical device applic
Externí odkaz:
https://doaj.org/article/aa1a45ec0b834e7583e8d411ce37add4
Autor:
Yixin Zhang, Xuan Liu, Ying Yang, Yihao Zhang, Qiang He, Feiyu Xu, Xinjuan Jin, Junqi Gao, Yuan Yao, Dexin Yu, Bernhard Hommel, Xingxing Zhu, Kangcheng Wang, Wenxin Zhang
Publikováno v:
European Psychiatry, Pp 1-31
Externí odkaz:
https://doaj.org/article/16ee1df8c09841bdb19fc2fac015b48d
Autor:
Jiazeng Wang, Junqi Gao, Shuxiang Zhao, Ruichao Zhu, Zekun Jiang, Zhaoqiang Chu, Zhineng Mao, Ying Shen
Publikováno v:
IEEE Transactions on Industrial Informatics. 19:2963-2972
Publikováno v:
IEEE Sensors Journal. 23:265-273
Autor:
Ziwei Wang, Ying Shen, Chong Lei, Jiazeng Wang, Shuxiang Zhao, Jiamin Chen, Zhaoqiang Chu, Junqi Gao
Publikováno v:
IEEE Electron Device Letters. 43:1327-1330
Publikováno v:
International Journal of Pavement Research and Technology. 16:503-512
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
This letter presents a frequency characteristics analysis for a magnetic anomaly detection (MAD) study. A magnetic dipole model is developed to study the energy distribution of the obtained MAD signal in the frequency domain, where fh is proposed to
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-4
This letter reports a noise suppression method for vector magnetic anomaly detection (MAD) based on noise spatial characteristics analysis. The environment noise indicates space anisotropy that is essential for noise depression. To find a projection
Autor:
Jiangtao Liu, Ming Yu, Yan Yu, Qunli Qi, Yu Ji, Min Zhao, Yingpeng Chen, Shuangting Chen, Chen Yang, Junxiao Sun, Mingqiu Zhao, Xin Hu, Junqi Gao
Publikováno v:
Day 3 Wed, November 02, 2022.
Usually, the signal-to-noise ratio is low and velocity spatial change is severe in areas where fault traps develop. Seismic data processing brings challenges to geophysicists. It is extremely difficult to improve imaging in deep parts were faults har