Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Jishi Zheng"'
Publikováno v:
IEEE Access, Vol 12, Pp 153370-153384 (2024)
Tungsten coil is one of the important components of the magnetron, and its surface quality and geometry directly affect the service life of the magnetron. The focus of this article is to apply machine vision and deep learning algorithms to study a su
Externí odkaz:
https://doaj.org/article/b94d17be9437457aaeb2586e10a7ea3c
Publikováno v:
IEEE Access, Vol 12, Pp 35399-35409 (2024)
At present, the HUD calibration of the whole vehicle enterprise adopts the traditional physical Master Gauge to calibrate the camera, and the scheme has low flexibility, occupies a large space, and is unsuitable for the mixed production of different
Externí odkaz:
https://doaj.org/article/0cec3b4c1e134493a7e1e00ff49e7799
Publikováno v:
IEEE Access, Vol 12, Pp 16794-16804 (2024)
Wood diameter needs to be measured in the process of production, sales and import and export. In order to solve the problem that it is difficult to accurately measure the densely stacked and irregularly arranged vehicle wood manually, this paper prop
Externí odkaz:
https://doaj.org/article/4c53618ffdf14060a33be7ccf9aa9866
Publikováno v:
IEEE Access, Vol 12, Pp 10334-10348 (2024)
Wood is one of the energy sources for sustainable development, which is closely related to our life. In the wood production process, it will be sorted according to different diameter grade is an essential link, at present the wood sorting work mainly
Externí odkaz:
https://doaj.org/article/da021f5508ff4be0a818643904331103
Publikováno v:
IEEE Access, Vol 11, Pp 81434-81448 (2023)
In order to overcome the problems of slow detection speed, low detection accuracy, dense wood stacks and easily obscured and overlooked, a segmentation method based on YOLACT_WOOD is proposed. YOLACT algorithm is proposed to explore the feasibility o
Externí odkaz:
https://doaj.org/article/ae150c912a5248b48e9d2c22215cef5d
Publikováno v:
IEEE Access, Vol 11, Pp 19186-19201 (2023)
Spurred by the worldwide concern for forest protection and the increased log sales, most countries have standardized log volume calculations to avoid excessive timber and protect buyers. However, log volume is currently manually measured, suffering f
Externí odkaz:
https://doaj.org/article/cd90b92089654536956d60c751c84c69
Autor:
Noel Hagumimana, Jishi Zheng, Godwin Norense Osarumwense Asemota, Jean De Dieu Niyonteze, Walter Nsengiyumva, Aphrodis Nduwamungu, Samuel Bimenyimana
Publikováno v:
International Journal of Photoenergy, Vol 2021 (2021)
The energy sector of today’s Rwanda has made a remarkable growth to some extent in recent years. Although Rwanda has natural energy resources (e.g., hydro, solar, and methane gas, etc.), the country currently has an installed electricity generation
Externí odkaz:
https://doaj.org/article/14a1353d283b464da7ecd8b80799f06c
Autor:
Kuo-Chi Chang, Noel Hagumimana, Jishi Zheng, Godwin Norense Osarumwense Asemota, Jean De Dieu Niyonteze, Walter Nsengiyumva, Aphrodis Nduwamungu, Samuel Bimenyimana
Publikováno v:
International Journal of Photoenergy, Vol 2021 (2021)
In recent years, several factors such as environmental pollution, declining fossil fuel supplies, and product price volatility have led to most countries investing in renewable energy sources. In particular, the development of photovoltaic (PV) micro
Externí odkaz:
https://doaj.org/article/96d668ea94a5411899e1635a881692c7
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 14 (2018)
Influenced by light reflection and water fog interference, ship infrared images are mostly blurred and have low signal-to-noise ratio. In this paper, an improved adaptive Canny edge detection algorithm for infrared image of ship is proposed, which ai
Externí odkaz:
https://doaj.org/article/f6af49dc644244ac99cd95e8b8767762
Autor:
Shaoyi Li, JiShi Zheng
Publikováno v:
Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c99a985cecf038f4a38bf6b0ae38f500
https://doi.org/10.1117/12.2660793
https://doi.org/10.1117/12.2660793