港航运营与管理论坛
时间(Time):2024-06-27 14:30 - 16:00
地点(Room):会议中心二层VIP1(Room VIP1, 2F, Convention Center)
方向:水上运输
主持人(Moderator):计明军 大连海事大学 教授、院长(Ji Mingjun, Professor, Dalian Maritime University)
日程安排/Program
Synergistic Path Planning for Ship-Deployed Multiple UAVs to Monitor Vessel Pollution in Ports
Synergistic Path Planning for Ship-Deployed Multiple UAVs to Monitor Vessel Pollution in Ports
06-27 14:30
报告人
 
沈立新
LIXIN Shen
The adaptive energy-saving scheduling of automatic guided vehicles at the automated container terminal
The adaptive energy-saving scheduling of automatic guided vehicles at the automated container terminal
06-27 14:40
报告人
 
温馨
WEN Xin
Flexible Yard Space Allocation Plan for New Type of Automated Container Terminal equipped with Unilateral-cantilever Rail-Mounted Gantry Cranes
Flexible Yard Space Allocation Plan for New Type of Automated Container Terminal equipped with Unilateral-cantilever Rail-Mounted Gantry Cranes
06-27 14:50
报告人
 
杨旭蕊
YANG Xurui
内河航道测深数据异常值检测算法研究:以浙江省内河航道为例
Research on outlier detection algorithm for inland waterway bathymetry data: A case study of Zhejiang Province
06-27 15:00
报告人
 
陈世俊
CHEN Shijun
港口拥堵对中美航线集装箱船碳排放的影响效应分析
The Impact of Port Congestion on Carbon Emissions from China-U.S. Shipping Routes
06-27 15:10
报告人
 
李晓书
LI Xiaoshu
Assessing resilience of global liner shipping network to tropical cyclones
Assessing resilience of global liner shipping network to tropical cyclones
06-27 15:20
报告人
 
朱逸凡
ZHU Yifan
Representation Learning and Analysis for Multi-Vessel Interaction based on Spatio-Temporal Graph Convolutional Autoencoder
Representation Learning and Analysis for Multi-Vessel Interaction based on Spatio-Temporal Graph Convolutional Autoencoder
06-27 15:30
报告人
 
王妙妙
WANG Miaomiao
Predicting Vessel Service Time: a Data-driven Approach
Predicting Vessel Service Time: a Data-driven Approach
06-27 15:40
报告人
 
初众
CHU Zhong
基于GCN-ConvLSTM2D的内河船舶待闸时间组合预测模型
A Combined Prediction Model for The Waiting Time of Inland Ships Based on GCN-ConvLSTM2D
06-27 15:50
报告人
 
汪炜峰
WANG Weifeng