110年第1學期-5702 創意物聯網應用設計 課程資訊
|quiz1||15||home appliance& power management module|
|midterm||20||deep learning module|
|quiz2||15||Social media and line bot|
|term project||30||social bot IOT|
|Homework||20||Rasberry PI homework|
本課程名額為 70人，已有6 人選讀，尚餘名額64人。
The goal of this course is to use the currently popular social media and government open IoT sensing data combined with a voice module (B3) to enable students to learn innovative IoT sensing and applications, including voice-controlled social media interfaces and appliances Module (B1), and use the artificial intelligence module (B4) recursive network for voice dialogue training, so that the media robot can automatically respond to voice inquiry, and can query the empty state near or at home. At the same time, start the home appliances to make demand actions, such as strong air purifier air purifier. The course is conducted in stages. The first stage is to learn the voice recognition module, and the second stage is to learn the home appliance control module. The first and second stages end to arrange an experiment for students to test the switch to control the appliance with voice. The third stage is Learning artificial intelligence modules, learning basic networks and advanced networks such as long and short memory networks, is expected to be used for dialogue robot training. This phase combines speech recognition and LineBot response for dialogue training, and arranges an experiment. The fourth phase is Combining geographic map resources and voice-driven LineBot air pollution distribution display and home decoration sensing linkage, a so-called social Internet of Things is formed. According to the schedule of this course, it is expected that three experimental results can participate in the results presentation meeting and the results compilation. The textbooks in this course can also expand the Alliance's community IoT module for use by foreign schools.
1. Maneesh Rao, Internet of Things with Raspberry Pi 3, Apr. 2018.
3. 本計畫課程模組B-4 ，深度學習時空間資料探勘教材