A5009790298- Maritime Navigation and Safety
- Methane Hydrates and Related Phenomena
- Ship Hydrodynamics and Maneuverability
- Hydrocarbon exploration and reservoir analysis
- Geology and Paleoclimatology Research
- Maritime Transport Emissions and Efficiency
- Maritime Ports and Logistics
- Underwater Vehicles and Communication Systems
- Structural Integrity and Reliability Analysis
- Robotic Path Planning Algorithms
- Maritime Security and History
- Atmospheric and Environmental Gas Dynamics
- Geochemistry and Elemental Analysis
- Risk and Safety Analysis
- Marine and coastal ecosystems
- Distributed Control Multi-Agent Systems
- Adaptive Control of Nonlinear Systems
- Advanced Malware Detection Techniques
- Paleontology and Stratigraphy of Fossils
- Fault Detection and Control Systems
- Digital and Cyber Forensics
- Network Security and Intrusion Detection
- Geological and Geophysical Studies
- Plasma Diagnostics and Applications
- Microbial Community Ecology and Physiology
Wuhan University of Technology
2017-2025
Shanghai Ocean University
2016-2025
Kunming University of Science and Technology
2025
Ministry of Natural Resources
2023-2025
China Ocean Shipping (China)
2021-2024
First Affiliated Hospital of Fujian Medical University
2023-2024
Fujian Medical University
2023-2024
University of Shanghai for Science and Technology
2024
Central South University
2024
National Marine Environmental Forecasting Center
2023
The Automatic Identification System (AIS) of ships provides massive data for maritime transportation management and related researches. Trajectory clustering has been widely used in recent years as a fundamental method traffic analysis to provide insightful knowledge operation optimization, etc. This paper proposes ship AIS trajectory based on Hausdorff distance Hierarchical Density-Based Spatial Clustering Applications with Noise (HDBSCAN), which can adaptively cluster trajectories their...
Maritime Autonomous Surface Ships (MASS) attract increasing attention in recent years. Researchers aim at developing fully autonomous systems that replace the role of human operators. Studies either focus on supporting conflict/collision detection (for manned ships) or solving conflict automatically unmanned ships). The cooperation between and machine has been less focused existing studies. However, this type is essential both practice future: firstly, demands navigational assistance are...
Urban waterways have great potential in cargo transport to relieve the congestion overloaded road networks. This paper explores of applying cooperative multi-vessel systems (CMVSs) improve safety and efficiency urban waterway A framework consisting vessel train formation (VTF) intersection scheduling (CWIS) is proposed. Two types controllers are introduced. Intersection solve CWIS problems assign each a desired time arrival responsible for VTF segments timely at intersections. An alternating...
Maritime transportation is one of the major contributors to development global economy. To ensure its safety and reduce occurrence a maritime accident, intelligent monitoring ship behavior identification have been drawing much attention from industry academia, among which, accurate prediction trajectory key questions. This paper proposed model integrating Convolutional LSTM (ConvLSTM) Sequence (Seq2Seq) models facilitate simultaneous extraction temporal spatial features trajectories, thereby...
Effective utilization of tugboats is the key to safe and efficient transport service in ports. With growth maritime traffic, more large seaports show a trend toward becoming super-scale, are divided into multiple specialized terminals. This paper focuses on problem large-scale tugboat scheduling. An optimization formulated considering cross-region constraints uncertainties during operation. improved genetic algorithm proposed based reversal operation (GA-RE) solve Tug-SP. A task-triggered...
With the enormous amount of information provided by ship Automatic Identification System (AIS), AIS is now playing a significant role in maritime transport system-related research and development. Many kinds industrial applications are based on trajectory extracted from raw data. However, due to issues equipment, transmission environment, human factors, data inevitably contain abnormal messages, which have hindered utilization such practice. Thus, this paper, an anomaly detection method that...