Zobrazeno 1 - 10
of 174
pro vyhledávání: '"DU Jingyi"'
Publikováno v:
Gong-kuang zidonghua, Vol 49, Iss 1, Pp 90-98 (2023)
There are some problems in the existing drill pipe counting methods, such as repeated labor, large counting error, and failure to consider the timing information of actions. In order to solve the above problems, a drill pipe counting method based on
Externí odkaz:
https://doaj.org/article/e60d01d6180a4dc6a3bbe638285db5ab
Publikováno v:
Gong-kuang zidonghua, Vol 47, Iss 11, Pp 119-125 (2021)
In order to solve the problems of low precision, poor real-time performance and easy missing detection of small targets in the current deep learning-based coal and gangue target detection methods, the SSD model is improved by using lightweight networ
Externí odkaz:
https://doaj.org/article/e2188a46d287498e85b89b6d5f86db9a
Publikováno v:
Gong-kuang zidonghua, Vol 47, Iss 8, Pp 77-83 (2021)
In order to solve the problem of slow detection speed of existing deep learning based belt conveyor foreign object detection methods, an improved YOLOv3 model is proposed and applied to coal mine belt conveyor foreign object detection. The model uses
Externí odkaz:
https://doaj.org/article/9da8cd773ebb4aad91d29961eb23a8b2
Publikováno v:
Gong-kuang zidonghua, Vol 46, Iss 5, Pp 63-68 (2020)
In view of problems that the existing detection methods for large blocks in underground coal transportation cannot detect quantity of large blocks and detection accuracy is not high, a detection method for large blocks in underground coal transportat
Externí odkaz:
https://doaj.org/article/078b89e4383542c88717b09e12bf0a70
Publikováno v:
Gong-kuang zidonghua, Vol 44, Iss 9, Pp 5-9 (2018)
Current underground driverless train positioning technology calculates the train displacement based on optical sensor installed on the wheels. When the underground driverless train skids on the wet track, the positioning error will be generated. In v
Externí odkaz:
https://doaj.org/article/1e823ebbf79447eaa974aea6c5c2aca0
Publikováno v:
MATEC Web of Conferences, Vol 336, p 01012 (2021)
Using the multiple scattering model of non-line-of-sight ultraviolet light to simulate and analyze the atmospheric channel characteristics in the complex environment of haze and dust. The Mie scattering theory and T matrix method are used to analyze
Externí odkaz:
https://doaj.org/article/e72f47464089435392a9988477db54cc
Publikováno v:
MATEC Web of Conferences, Vol 160, p 01008 (2018)
Aiming at the problem that the traditional detection methods can not accurately classify the corrosion degree of grounding grids. The corrosion image is taken as the research object, the convolution neural network is used as the algorithm firstly to
Externí odkaz:
https://doaj.org/article/bfba0be2c9c44abc8c5c77db06cb9269
SIRT6 modulates lesion microenvironment in LPC induced demyelination by targeting astrocytic CHI3L1.
Autor:
Du, Jingyi1 (AUTHOR), Yin, Yue1 (AUTHOR), Wu, Dong1 (AUTHOR), Diao, Can2 (AUTHOR), Zhao, Tiantian1 (AUTHOR), Peng, Fan1 (AUTHOR), Li, Naigang1 (AUTHOR), Wang, Dongshuang1 (AUTHOR), Shi, Jiaming1 (AUTHOR), Wang, Liyan2 (AUTHOR), Kong, Liang3 (AUTHOR), Zhou, Wenjuan1 (AUTHOR) wenjuanzhou@sdu.edu.cn, Hao, Aijun1 (AUTHOR) aijunhao@sdu.edu.cn
Publikováno v:
Journal of Neuroinflammation. 9/28/2024, Vol. 21 Issue 1, p1-21. 21p.
Autor:
Du, Jingyi1 (AUTHOR) 000248@xust.edu.cn, Zhang, Ruibo1 (AUTHOR) 22206223068@stu.xust.edu.cn, Gao, Rui1 (AUTHOR), Nan, Lei1 (AUTHOR), Bao, Yifan1 (AUTHOR)
Publikováno v:
Sensors (14248220). Jun2024, Vol. 24 Issue 11, p3579. 16p.
Autor:
Yao, Yuan, Du, Jingyi, Wang, Dongshuang, Li, Naigang, Tao, Zhouhang, Wu, Dong, Peng, Fan, Shi, Jiaming, Zhou, Wenjuan, Zhao, Tiantian, Tang, Yuchun
Publikováno v:
In Brain Behavior and Immunity August 2024 120:290-303