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研途情報站 | 學術信息彙總(04.14)

作者: 訪問量:213發布時間:2023-04-14


報告題目:渦輪沖壓組合循環發動機原理

報告人:徐思遠

報告時間:4月15日 9:00

報告地點:明故宮校區A10-619報告廳

報告内容摘要:


報告題目:靶向乳腺癌微環境的診療探針

報告人:孫小倩

報告時間:4月15日 9:00

報告地點:民航樓306報告廳

報告内容摘要:

報告題目: Upper metric mean dimensions for impulsive semi-flows

報告人:成丹丹 副教授(山西師範大學)

報告時間:04月14日 14:00-15:00

報告地點:騰訊會議:339534741

報告内容摘要:


報告題目:Recharging Scheduling of Automated Guided Vehicle Using Multi-Agent Q learning

報告所屬學科:管理科學與工程

報告人:CHEW Ek Peng(新加坡國立大學)

報告時間:2023年4月19日 10:00-11:30

報告地點:騰訊會議380-532-641

報告摘要:

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.


報告題目:電控二維磁性材料磁相變研究

報告人:王以林

報告時間:04月17日 14:30-15:30

報告地點:理學院402會議室

報告内容摘要:


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