Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Yunfei Ai"'
Publikováno v:
天地一体化信息网络, Vol 2, Pp 75-80 (2021)
With the rapid development of modern technologies and satellite communication, the need to apply satellite communication in the transport field in China has become stronger and stronger.The development and application status of the major satellite co
Externí odkaz:
https://doaj.org/article/5f941a0d1e1b4456bc6d54c31ba1b4bc
Publikováno v:
PLoS ONE, Vol 15, Iss 1, p e0227609 (2020)
In order to quantitatively analyze the influence of different traffic conditions on highway crash risk, a method of crash risk assessment based on traffic safety state division is proposed in this paper. Firstly, the highway crash data and correspond
Externí odkaz:
https://doaj.org/article/3d6eebc5c6d24f83bf331681aaab9b38
Publikováno v:
Advances in Mechanical Engineering, Vol 11 (2019)
This article studies the location problem of maritime emergency supplies repertories under the joint of government and enterprises, and it proposes the two-stage optimization location model by integrating the location of maritime emergency supplies r
Externí odkaz:
https://doaj.org/article/7220dd35b79747c8aa9d777b6a6db1e9
Autor:
Yunfei Ai1, Shuhui Dong1, Xiaoxiao Huang1 xiaoxiao270@163.com, Shaojiang Song1 songsj99@163.com
Publikováno v:
Asian Journal of Traditional Medicines. 2022, Vol. 17 Issue 3, p94-107. 14p.
Publikováno v:
Journal of Cosmetic Science; Mar/Apr2024, Vol. 75 Issue 2, p119-127, 10p
Publikováno v:
Modern Physics Letters B. 36
In order to deeply analyze the quantitative relationship between traffic flow state and crash risk, a highway traffic safety state classification method based on multi-parameter fusion clustering was proposed. First, attribute data of highway traffic
Publikováno v:
2021 International Conference on Power System Technology (POWERCON).
Publikováno v:
2021 6th International Conference on Transportation Information and Safety (ICTIS).
Publikováno v:
ICAIIS
In order to deeply analyze the quantitative relationship between traffic flow state and crash risk, this paper presents an optimal weight based multi-parameter fusion clustering method for highway traffic safety state division. Firstly, highway crash
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 671:012003
The topographic effect has long been recognized as one of problems for quantitative remote sensing. The paper compares the correction results of OLI data based on C model, Cosine model, SCS model, Minnaert model and pixel-based Minnaert Correction Me