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研途情报站 | 学术信息汇总(04.14)

作者: 访问量:730发布时间:2023-04-14


报告题目:涡轮冲压组合循环发动机原理

报告人:徐思远

报告时间:4月15日 9:00

报告地点:明故宫校区A10-619报告厅

报告内容摘要:


报告题目:靶向乳腺癌微环境的诊疗探针

报告人:孙小倩

报告时间:4月15日 9:00

报告地点:民航楼306报告厅

报告内容摘要:

报告题目: Upper metric mean dimensions for impulsive semi-flows

报告人:成丹丹 副教授(山西师范大学)

报告时间:04月14日 14:00-15:00

报告地点:腾讯会议:339534741

报告内容摘要:


报告题目:Recharging Scheduling of Automated Guided Vehicle Using Multi-Agent Q learning

报告所属学科:管理科学与工程

报告人:CHEW Ek Peng(新加坡国立大学)

报告时间:2023年4月19日 10:00-11:30

报告地点:腾讯会议380-532-641

报告摘要:

As ports are required to reach net zero emission in the future, there is presently a strong push in the port community to adopt measures such as using cleaner energy, automation and digitalization. Port automation and digital technology allows green fuel to be used and making terminal operations more efficient, therefore reducing the carbon footprint. In recent years, there is a greater adoption of battery- powered automated guided vehicles (AGVs) in automated containers, replacing diesel power AGVs. As a battery powered AGV may require recharging during its operations, it brings in new complexity in the scheduling and deployment of AGV. The main challenges of recharging scheduling can be attributed to the limited charging station capacity and the tight job schedule for each vehicle. We will present a multi-agent Q learning approach to address the recharging scheduling in a large container terminal. The objective is to provide a recharging schedule that would minimize the delay to the jobs, which in turn will improve the gross quay crane rate.


报告题目:电控二维磁性材料磁相变研究

报告人:王以林

报告时间:04月17日 14:30-15:30

报告地点:理学院402会议室

报告内容摘要:


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