A5009979434- Maritime Navigation and Safety
- Structural Integrity and Reliability Analysis
- Supply Chain and Inventory Management
- Adaptive Dynamic Programming Control
- Arctic and Russian Policy Studies
- Adaptive Control of Nonlinear Systems
- Methane Hydrates and Related Phenomena
- Infrared Target Detection Methodologies
- Inertial Sensor and Navigation
- Ship Hydrodynamics and Maneuverability
- Power Systems and Renewable Energy
- Oil Spill Detection and Mitigation
- Advanced Data Processing Techniques
- Railway Engineering and Dynamics
- Advanced Measurement and Detection Methods
- Distributed Control Multi-Agent Systems
- High-Voltage Power Transmission Systems
- Advanced Decision-Making Techniques
- Underwater Vehicles and Communication Systems
- Scheduling and Optimization Algorithms
- Energy Harvesting in Wireless Networks
- Reinforcement Learning in Robotics
- Wireless Power Transfer Systems
- Safety Warnings and Signage
- Evacuation and Crowd Dynamics
Guangdong Ocean University
2020-2024
Key Laboratory of Guangdong Province
2024
Dalian Maritime University
2014-2022
Xi'an Shiyou University
2010
Guangxi University
2010
Liuzhou Maternal and Child Health Hospital
2010
This study provides an empirical analysis of the injury severity outcomes maritime accidents by exploring influential factors for two underlying states: injury-free state and injury-prone state. The former may reflect generation mechanism with limited potential to result in outcomes, whereas, latter represent when accident falls into category. To account possible presence these regimes, a zero-inflated ordered probit (ZIOP) model is employed using injury-severity data extracted from 1,128...
The autonomous navigation of unmanned surface vehicles (USV) depends mainly on effective ship target detection to the nearby water area. difficulty for USV derives from complexity external environment, such as light reflection and cloud or mist shield. Accordingly, this paper proposes a technology basis EfficientDet algorithm. features fusion is performed by Bi-directional Feature Pyra-mid Network (BiFPN), in which pre-trained EfficientNet via ImageNet taken backbone network, then speed...
Mooring area detection represents one of the key technological problems that must be solved in development Maritime Autonomous Surface Ships (MASS). In view lack research on current methods for ship mooring area, a new intelligent algorithm single anchored MASS was proposed this study, aiming at improving ability and accuracy area. Firstly, laws short period swinging motion, long circumferential motion reciprocating radial direction an anchoring were summarized. Secondly, anchorage circle...
With the increase in port throughput and development of trend large-scale ships, selecting applicable anchor positions for ships ensuring rational comprehensive utilization anchorage areas have become a key issue utilizing rate resources, safety anchoring operations promoting shipping industry. Existing position selection detection algorithm studies are limited to two-dimensional plane ship selection, with few considering intelligent algorithms safe water depths based on three-dimensional...
As intelligent ship technology advances, the importance of anchor position detection, as one key technologies, can ensure safe anchoring ships and enhance efficiency port operation. At present, most selection detection algorithms are mainly based on two-dimensional planes, there is a lack research water depth for in three-dimensional space. It not only restricts full utilization anchorage resources but also affects safety environmental adaptability operations. To address these issues, this...
Recently, the ship energy consumption issue has been in spotlight. Meanwhile, new conventions and standards of conservation as well emission reduction have continuously introduced by International Maritime Organization governments around world. Energy is a crucial factor route planning. This paper proposes an improved ant colony algorithm that can handle complicated ocean current environment find optimal energy-saving path. Firstly, this focuses on both path length consumption. To reduce...
Shipborne radars cannot only enable navigation and collision avoidance but also play an important role in the fields of hydrographic data inspection disaster monitoring. In this paper, target extraction methods for oil films, ships coastlines from original shipborne radar images are proposed. First, video acquired by a signal acquisition card. Second, based on remote sensing image processing technology, preprocessed, contours targets extracted. Then, identified integrated into electronic...
As Arctic sea ice continues to melt and global demand for clean energy rises, Russia’s Liquefied Natural Gas (LNG) exports via the Northern Sea Route (NSR) are rapidly increasing. To ensure operational safety of LNG carriers safeguard economic interests stakeholders, including shipowners, a thorough assessment navigability various ice-class along this route is essential. This study collected condition data from 2014 2023 applied Polar Operational Limit Assessment Risk Indexing System...
In order to reduce the possibility of crew suffering from various injuries, quantitative marine individual risk model is adopted improve original Risk Matrix. Improved Matrix quantizes limit frequency and injurious consequences corresponding severity accident, thereby it reduces ambiguity Using falling accident as example, this paper demonstrates establishment improved for enterprise control.
In accordance with the application characteristics of On-Board power simulating training evaluation system and advantages postgreSQL, propose that using postgreSQL manage data system. Considering this paper combines database design, connection accession, studies in It is showed by research experiment applying into has important practical significance promoting value.
In this article, the adaptive cooperative control design problem is studied for a class of second order multi-agent systems (MASs) with actuator fault via reinforcement (RL). The strategic utility function approximated by critic neural network (NN), and uncertain dynamics in MASs are estimated active NN. NN weight vectors updated employing gradient descent strategy. Then, distributed RL strategy developed to solve consensus problem. comparison existent results, taken into consideration...