教師資料查詢 | 類別: 會議論文 | 教師: 張誠 Feng-cheng Chang (瀏覽個人網頁)

標題:Learning the classroom automation preferences with low user intervention
學年108
學期2
發表日期2020/03/10
作品名稱Learning the classroom automation preferences with low user intervention
作品名稱(其他語言)
著者F.-C. Chang; H.-C. Huang; L. Chu
作品所屬單位
出版者
會議名稱2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech)
會議地點Kyoto, Japan
摘要With the affordable Internet of Things (IoT) devices, the number of smart classrooms are increasing. There are researches on how to incorporate the IoT technology into the pedagogy. We put the emphasis on classroom automation which enables the teacher to flexibly configure the smart devices without coding. It is achieved by a framework on top of the physical IoT network. In the framework, the automation process is modeled as a state transition engine. The teacher only needs to signal the engine to take a few system state snapshots as the preferences. Once the preference model is derived by the learning process, an event would trigger the engine to compute the suggested system states from this model. Then the automation process invokes the predefined actions to reach the target system states. The framework allows the engineer to provide the basic functions to configure the system, while keeping the user intervention low at providing the training data. In addition to describing the example applications of the framework, a simple use case is also simulated to demonstrate how to design a learning mechanism for this framework.
關鍵字smart classroom;Internet of Things;automation
語言英文
收錄於
會議性質國際
校內研討會地點
研討會時間20200310~20200312
通訊作者
國別日本
公開徵稿
出版型式
出處
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