Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Pengbo Xiong"'
Publikováno v:
Sensors, Vol 21, Iss 22, p 7465 (2021)
Lens distortion can introduce deviations in visual measurement and positioning. The distortion can be minimized by optimizing the lens and selecting high-quality optical glass, but it cannot be completely eliminated. Most existing correction methods
Externí odkaz:
https://doaj.org/article/d72a0a88691240d8995c57e5e2995ae0
Publikováno v:
2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT).
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 7465, p 7465 (2021)
Sensors
Volume 21
Issue 22
Sensors, Vol 21, Iss 7465, p 7465 (2021)
Sensors
Volume 21
Issue 22
Lens distortion can introduce deviations in visual measurement and positioning. The distortion can be minimized by optimizing the lens and selecting high-quality optical glass, but it cannot be completely eliminated. Most existing correction methods
Publikováno v:
2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA).
The inverter fault diagnosis based on BP neural network can fall into local minimum and overfitting. To solve these problems, we propose a fault diagnosis method based on BP neural network optimized by cross entropy and L2 regularization. In this pro
Autor:
Xuyang Zhou, Pengbo Xiong, Dazhao Chi, Xiu Wen, Yu Ji, Yutong Li, Shutian Liu, Dong Jia, Zhengjun Liu
Publikováno v:
Optics Letters. 47:3752
Focusing objects accurately over short time scales is an essential and nontrivial task for a variety of microscopy applications. In this Letter, an autofocusing algorithm using pixel difference with the Tanimoto coefficient (PDTC) is described to pre
Publikováno v:
Microelectronics Reliability. 126:114229
Due to the deep coupling of the DC faults for the two-stage photovoltaic (PV) inverters, it is very difficult to determine the specific causes of DC faults. In terms of this issue, the fault mechanism of different causes is analysed and the obvious f