A5026689883- Maritime Navigation and Safety
- Inertial Sensor and Navigation
- Structural Integrity and Reliability Analysis
- Risk and Safety Analysis
- GNSS positioning and interference
- Target Tracking and Data Fusion in Sensor Networks
- Ship Hydrodynamics and Maneuverability
- Maritime and Coastal Archaeology
- Astronomical Observations and Instrumentation
- Robotics and Sensor-Based Localization
- Lipoproteins and Cardiovascular Health
- Underwater Vehicles and Communication Systems
- Robotic Path Planning Algorithms
- Maritime Ports and Logistics
- Autonomous Vehicle Technology and Safety
- Marine and Coastal Research
- Maritime Transport Emissions and Efficiency
- Stroke Rehabilitation and Recovery
- Machine Fault Diagnosis Techniques
- Advanced Neural Network Applications
- Indoor and Outdoor Localization Technologies
- Coronary Interventions and Diagnostics
Shanghai Maritime University
2021-2024
Peking Union Medical College Hospital
2019
Port State Control (PSC) can effectively improve crew and ship safety, reduce the probability of maritime accidents, prevent marine environment from being polluted, playing a key role in international shipping market. In order to identify degree influence various defects on main types ships PSC inspection, risk assessment matrix is constructed this paper determine level each detention defect. addition, considering association between defects, uses CARMA algorithm mine rules so as that cause...
Abstract In recent years, unmanned surface Vessels (USVs) have increasingly been used for river monitoring and hydrological surveys. USVs rely on global navigation satellite systems (GNSS) navigation. However, signal blocking can cause the traditional GNSS vector tracking (VT) loop to increase code phase carrier frequency errors, leading higher positioning errors that do not meet USVs’ requirements. To address this problem, we propose a VT method based minimum error entropy (MEE) in module....
High-precision navigation systems are crucial for unmanned autonomous vessels. However, commonly used Global Navigation Satellite System (GNSS) signals often severely affected by environmental obstruction, leading to reduced positioning accuracy or even the inability locate. To address issues caused signal obstruction in high-precision systems, research presented this paper proposes a vector-tracking loop (VTL) structure based on forward Kalman Filter (KF) and backward Rauch Tung Striebel...
Abstract Unmanned surface vehicles (USV) can use global navigation satellite systems (GNSS) and inertial (INS) for combined positioning navigation. However, buildings such as port facilities bridges blocking GNSS signals will increase the error in discriminator output vector tracking loop reduce accuracy. Meanwhile, due to cumulative system, credibility of results when signal is blocked further reduced. In this regard, study proposes a robust integrated optimization method. Specifically, RTS...
The continuous development of global international trade has posed significant challenges to maritime security and safe transportation, highlighting the importance regulation. Traditional ship inspection techniques can identify locate vessels in images or videos, yet they often fall short meeting complex regulatory demands due specific operational needs risk assessment standards associated with different types ships. Consequently, this paper independently constructs a image dataset employs...
Port State Control (PSC) is of positive significance for strengthening ship safety, reducing pollution, and urging the implementation conventions, plays an important role in shipping industry. Detention, as option port state inspection, used to promote compliance ships with standards, but companies, it means economic losses caused by delays schedules. This study aims use ensemble learning method predict possible defect types detention possibilities main operating based on existing PSC...
As the last line of defense for marine safety, Port State Control (PSC) plays an important role in improving safety and protecting environment. In order to ensure consistency effectiveness inspection, this study uses a Bayesian Network construct PSC examines evolutionary analysis models. Based on data inspection Paris MOU from 2018 2021, conduct research existing main ship types. The results show that most types, methods can guarantee standardization even face public health emergencies;...
To make full use of the information regarding marine traffic environment risk, and to reflect risk situation in specific waters, a simulation method fusing Monte Carlo (MC) Fuzzy Comprehensive Evaluation (FCE) methods is proposed. The space coupling random parameters performed solve problem conflicting index values common evaluation. MC-FCE applied Tiaozhoumen Traffic Separation Scheme (TSS). result shows that proposed describes randomness channel more completely while avoiding values....
Objective To explore the effects of meditation training on medication compliance and prognosis among coronary heart disease patients. Methods From January to June 2017, we selected 120 inpatients at Beijing Chaoyang Hospital Affiliated Capital Medical University by convenience sampling. All patients were divided into observation group (n=60) control with method random number table. The received routine nursing care for disease. Apart from that, training. compliance, re-hospitalization...