Results 51 to 60 of about 28,435 (103)

Ship global path planning based on improved DQN algorithm

Zhongguo Jianchuan Yanjiu
ObjectiveIn order to improve the economy and safety of ship navigation path in actual sea environment, this paper proposes a ship global path planning method with an improved Deep Q-Network (DQN) algorithm.MethodFirst, a prioritized experience replay ...
Wei GUAN, Sheng QU, Xianku ZHANG, Tongbo HU   +3 more
doaj   +1 more source

Application of an improved ant colony algorithm based on unevenly distributed pheromone and multi-objective optimization in path planning for unmanned surface vehicles

Zhongguo Jianchuan Yanjiu
ObjectiveTo address the challenges of path planning for unmanned surface vehicles in complex waters, this paper proposes an improved ant colony optimization（ACO）algorithm based on uneven distributed pheromone and multi-objective optimization.MethodsFirst,
Guobing XIE, Wei HE, Wangwen HU, Yixin Su, Binghua SHI   +4 more
doaj   +1 more source

Ship local path planning method based on three-dimensional potential field model

Zhongguo Jianchuan Yanjiu
Objectives To make local path planning algorithms more consistent with the maneuvering characteristics of ships, thereby generating safer and more reliable reference paths, this paper proposes a three-dimensional potential field modeling method ...
Qunpeng WANG, Longhao LI, Hongxu GUAN, Jialun LIU, Jianzhe CAI, Zhengrong SHA, Jinshui ZHANG   +6 more
doaj   +1 more source

Ship path planning and tracking based on rapidly exploring random tree star and convex optimization

Zhongguo Jianchuan Yanjiu
ObjectivesTo address the challenges of path planning and tracking for underactuated ships in obstacle-filled waters, this paper proposes a ship path planning and tracking algorithm based on the rapidly exploring random tree (RRT*) and convex optimization.
Chang ZHOU, Te YU, Jiapeng LIU, Dihua LU, Qingshan ZENG   +4 more
doaj   +1 more source

Autonomous decision-making method of unmanned ship based on improved DDPG algorithm

Zhongguo Jianchuan Yanjiu
ObjectivesTo enhance the safety and efficiency of maritime traffic, this paper proposes an autonomous collision avoidance decision-making method for unmanned ships based on an enhanced Deep Deterministic Policy Gradient (DDPG) algorithm. Methods In order
Wei GUAN, Shuhui HAO, Zhewen CUI, Miaomiao WANG   +3 more
doaj   +1 more source

Exploring type I interferon pathway: virulent vs. attenuated strain of African swine fever virus revealing a novel function carried by MGF505-4R

Frontiers in Immunology
African swine fever virus represents a significant reemerging threat to livestock populations, as its incidence and geographic distribution have surged over the past decade in Europe, Asia, and Caribbean, resulting in substantial socio-economic burdens ...
J. Dupré, M. Le Dimna, E. Hutet, Pascal Dujardin, A. Fablet, Aurélien Leroy, Isabelle Fleurot, Grégory Karadjian, Ferdinand Roesch, Ignacio Caballero, O. Bourry, Damien Vitour, M. Le Potier, G. Caignard   +13 more
semanticscholar   +1 more source

Study on ultimate strength of box girder considering intact initialimperfections under cyclic bending moments

Zhongguo Jianchuan Yanjiu
ObjectivesTo fully consider intact initial imperfections, including welding initial deformation and residual stress, it is necessary to conduct a study on the plastic deformation distribution and ultimate strength of a box girder under different cyclic ...
Huwei CUI, Runwen HU, Qiyin DING
doaj   +1 more source

Simulation Tests of a Drive Shaft and Propeller Control Subsystem for a Fast Boat

Polish Maritime Research
This paper presents an analysis of the acceleration of a fast boat using a simulation model. Mathematical equations of ship motion dynamics with two types of propeller capabilities are developed using MATLAB and Simulink as simulation tools.
Grządziela Andrzej, Hożyń Stanisław
doaj   +1 more source

Rapid diagnosis and active disturbance rejection control of compressor surge based on hybrid deep learning

Zhongguo Jianchuan Yanjiu
ObjectiveIn order to improve the safe and stable operation level of compressor equipment, this paper puts forward a rapid diagnosis method of surge states based on hybrid deep learning parameter identification, and proposes an active disturbance ...
Shoutai SUN, Bing TANG, Yali XUE, Li SUN
doaj   +1 more source

Auto-berthing Control for MSVs with a Time-based Generator under Actuator Faults: A Concise Neural Single-Parameter Approach

Polish Maritime Research
In this paper, we study the control problem of auto-berthing marine surface vessels (MSVs) within a predefined, finite time in the restricted waters of a port, in the face of internal and external uncertain dynamics and actuator faults.
Chen Liping
doaj   +1 more source