Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Zhuoyong Shi"'
Autor:
Nan Li, Zhuoyong Shi, Jiahui Jin, Jiahao Feng, Anli Zhang, Meng Xie, Liang Min, Yunfang Zhao, Yuming Lei
Publikováno v:
Sensors, Vol 24, Iss 19, p 6438 (2024)
Due to the lack of real-time planning for fire escape routes in large buildings, the current route planning methods fail to adequately consider factors related to the fire situation. This study introduces a real-time fire monitoring and dynamic path
Externí odkaz:
https://doaj.org/article/9c6c649280fc4c728beeb1e6886a89c0
Autor:
Junxiao Guo, Jiandong Zhang, Zihan Wang, Xiaoliang Liu, Shixi Zhou, Guoqing Shi, Zhuoyong Shi
Publikováno v:
Drones, Vol 8, Iss 9, p 427 (2024)
This paper proposes a method based on a Bayesian network model to study the intelligent tactical decision making of formation coordination. For the problem of formation coordinated attack target allocation, a coordinated attack target allocation mode
Externí odkaz:
https://doaj.org/article/bf7d3b3d346942c9b29528d009d9ece2
Publikováno v:
Drones, Vol 8, Iss 7, p 308 (2024)
In this paper, a LabVIEW-based online monitoring and safety evaluation system for UAVs is designed to address the deficiencies in UAV flight state parameter monitoring and safety evaluation. The system consists of a lower unit for UAV recording and a
Externí odkaz:
https://doaj.org/article/0f9bd7bd4ffc4c658c19e959d6324e39
Publikováno v:
Sensors, Vol 24, Iss 13, p 4277 (2024)
In the process of metal wire and additive manufacturing, due to changes in temperature, humidity, current, voltage, and other parameters, as well as the failure of machinery and equipment, a failure may occur in the manufacturing process that serious
Externí odkaz:
https://doaj.org/article/5cc72469dc254b47ba955c08ae81528e
Publikováno v:
Drones, Vol 8, Iss 6, p 255 (2024)
With the burgeoning impact of artificial intelligence on the traditional UAV industry, the pursuit of autonomous UAV flight has emerged as a focal point of contemporary research. Addressing the imperative for advancing critical technologies in autono
Externí odkaz:
https://doaj.org/article/8f390ad7207845dc90c7f541cdb5ac20
In this paper, a new method is used to solve the above problems: the current flight state of UAV is considered in UAV flight prediction, and the UAV track is predicted by establishing a model according to different flight states of UAV. This method i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7004bf7fc443f6a02cc350fe5c0c676
https://doi.org/10.36227/techrxiv.21602784
https://doi.org/10.36227/techrxiv.21602784