Zobrazeno 1 - 10
of 200
pro vyhledávání: '"Xiumin Chu"'
Publikováno v:
Zhongguo Jianchuan Yanjiu, Vol 19, Iss 2, Pp 71-80 (2024)
ObjectiveIn order to improve the safety of ship navigation, this study focuses on virtually aided ship navigation strategies.MethodsTwo different inland river routes are chosen for the simulation of virtually aided ship navigation models based on the
Externí odkaz:
https://doaj.org/article/b034340de38747cb989bcd38cf2a5f47
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 9, p 1614 (2024)
Intelligent ships have been attracting much attention with the intention of downsizing the number of staff, increasing efficiency, saving energy, etc [...]
Externí odkaz:
https://doaj.org/article/e202b3a1abfe4638a061873a23ea5d73
Publikováno v:
Zhongguo Jianchuan Yanjiu, Vol 18, Iss 5, Pp 121-132 (2023)
ObjectivesThe aim of this paper is to obtain test scenarios of autonomous collision avoidance for inland waterway ships by modeling. MethodsStarting with the automatic identification system (AIS) and radar data collection and fusion method, a ship na
Externí odkaz:
https://doaj.org/article/08b9f605bfca4a4e9afe0aa96c0bebf2
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 8, p 1417 (2024)
Sailing speed is a critical factor affecting the ship’s energy consumption and operating costs for a voyage. Inland waterways present a complex navigation environment due to their narrow channels, numerous curved segments, and significant variation
Externí odkaz:
https://doaj.org/article/4fb3ecea53a94a22bd5d6712aefab775
Publikováno v:
Zhongguo Jianchuan Yanjiu, Vol 18, Iss 1, Pp 13-28 (2023)
The ship platoon will become an important form of water transport in the future. This paper analyzes the characteristics and control principle of ship platoon cooperative control, and analyzes the current situation and methods in the four aspects of
Externí odkaz:
https://doaj.org/article/951030fdeecc4dd39bade40b3cde15c8
Autor:
Bowen Lin, Mao Zheng, Bing Han, Xiumin Chu, Mingyang Zhang, Haiming Zhou, Shigan Ding, Hao Wu, Kehao Zhang
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 2, p 202 (2024)
Ship course-keeping control is of great significance to both navigation efficiency and safety. Nevertheless, the complex navigational conditions, unknown time-varying environmental disturbances, and complex dynamic characteristics of ships pose great
Externí odkaz:
https://doaj.org/article/d00e5eeafb3c4346a6d7c608da9ebccc
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 1, p 107 (2024)
In recent years, as intelligent ship-navigation technology has advanced, the challenge of accurately modeling and predicting the dynamic environment and motion status of ships has emerged as a prominent area of research. In response to the diverse ti
Externí odkaz:
https://doaj.org/article/4d24e278309c4b2b9df57d6b35c72868
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 12, p 2265 (2023)
Collision risk identification is an important basis for intelligent ship navigation decision-making, which evaluates results that play a crucial role in the safe navigation of ships. However, the curvature, narrowness, and restricted water conditions
Externí odkaz:
https://doaj.org/article/b11e84a2013b4f4eb2c635a7ab24f436
Publikováno v:
Zhongguo Jianchuan Yanjiu, Vol 16, Iss 3, Pp 1-8 (2021)
ObjectivesTo improve the deck handling efficiency of carrier-borne aircraft, a study of rapid handling routes and scheduling schemes is carried out.MethodsA fast planning method of deck handling routes based on network topology is established, and a
Externí odkaz:
https://doaj.org/article/e65fe6eaaeac4e868ee016b731250a00
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 5, p 903 (2023)
Significant changes in the load of cargo ships make it difficult to simulate and control their motion. In this work, a parameter prediction method for a ship maneuvering motion model is developed based on parameter identification and support vector r
Externí odkaz:
https://doaj.org/article/b394a52d11054c60918cdffdc2c551c1