本課程以Conceive,Design,Implementation and Operation 的程序要求學生在一年內做出產品或服務，此產品或服務必須是由跨系的團隊集體合作完成的。課程之目標再讓學生團體合作整合各項技術完成製作產品或服務的任務。在製作過程中，學生得以學習溝通，調集資源，展現創意，動手實作，規劃時程與最後的成果展示。
目前的主題為
109 學年度工程統整專題
資工系研究主題:
1. 3D AR 結合雲端技術應用:
(1).透過雲端平台建立 3D AR (augmented reality) 服務。
(2).可利用雲端平台管理 3D AR 服務使用者資料，或進行影像辨識等服務。
(3).提供 mobile AR 功能，以手機或平板作為主要使用者介面。
(4).支援跨平台 App 開發，可同時支援多種作業系統。
(5).可考慮在雲端或 App 內加入某些 AI 功能。
(6).歡迎資工系或其他跨領域同學們加入。
2. AI 與大數據分析應用:
(1).利用 AI 或大數據分析技術，建立預測模型或決策輔助的資訊。
(2).可能的應用領域包括智慧物聯網、醫療、觀光行銷...等領域。
(3).歡迎資工系或其他跨領域同學們加入。
環工系研究主題:
應用AIoT技術監控並優化蔬菜微生物燃料電池操作
(1).嘗試使用不同之蔬菜植物，如空心菜、韮菜、小白菜、筊白筍等等來建構植物微生物燃料電池，並探討使用何種蔬菜可以得到最高的產電功率。
(2).在植物微生物燃料電池操作的過程中，使用Arduino對PH值、溶氧、溫度等操作參數做連續監測，並將數據上傳至物聯網系統做統整。
(3).在蔬菜栽種的過程中記錄蔬菜影像，並且為蔬電栽培良窳辨識系統建立影像資料庫。
(4).參與同學將於本專題過程中學習電池製作、電池極化/功率曲線評估、循環伏安法量測等等基本電化學實驗與分析技術。
(5).除電化學實驗與分析技術學習之外，本專題將與電機系之Aiot技術結合，達成”一邊種菜、一邊發電”的環境永續發展目標。
工工系研究主題:
IoT雲端生醫感測應用
(1).整合量測生理反應的感測器：血液中的氧氣（血氧飽和度）、體溫、心電圖（ECG）、皮膚電位反應（GSR）和病人姿態（加速度）等。這些數據可以用於即時監控患者的狀態，生物特徵收集，數據並可以儲存於電腦或顯示於智慧手機
(2).參與之環工或化材系同學將可學習 Arduino 控制器之原理與實用。
(3).參與之電機系同學學習生醫數據的應用。
電機系研究主題:
物聯網於智慧居家監控與數據分析
(1).透過嵌入式板與周邊設備，實現智慧居家應用。
(2).以手機透過藍芽(或網路)控制家電。
(3).加入人工智慧概念(或加入大數據)。
(4).電機系或有意願的跨領域們同學創意。
This course requires students to create a product or service within one year through the procedures of Conceive, Design, Implementation and Operation. This product or service must be completed by a cross-department team. The goal of the course is to allow student groups to work together to integrate various technologies to complete the task of producing products or services. During the production process, students can learn to communicate, mobilize resources, show creativity, practice, plan the schedule and display the final results.
The current topic is
109 Academic Year Engineering Integration Topics
Department of Engineering Research Topics:
1. 3D AR combined with cloud technology application:
(1). Create 3D AR (augmented reality) services through the cloud platform.
(2). The cloud platform can be used to manage 3D AR service user data or perform image recognition and other services.
(3). Provide mobile AR function, using mobile phone or tablet as the main user interface.
(4). Supports cross-platform App development and can support multiple operating systems at the same time.
(5). Consider adding certain AI functions to the cloud or within the app.
(6). Students from the engineering department or other cross-fields are welcome to join.
2. AI and big data analysis applications:
(1). Use AI or big data analysis technology to establish predictive models or decision-making assistance information.
(2). Possible application fields include smart Internet of Things, medical care, tourism marketing, etc.
(3). Students from the engineering department or other cross-fields are welcome to join.
Research topics of the Department of Environmental Engineering:
Applying AIoT technology to monitor and optimize vegetable microbial fuel cell operations
(1). Try to use different vegetable plants, such as water spinach, leeks, Chinese cabbage, bamboo shoots, etc., to construct a plant microbial fuel cell, and explore which vegetables can be used to obtain the highest electricity production power.
(2). During the operation of the plant microbial fuel cell, use Arduino to continuously monitor operating parameters such as pH value, dissolved oxygen, and temperature, and upload the data to the Internet of Things system for integration.
(3). Record vegetable images during the vegetable planting process, and establish an image database for the vegetable cultivation identification system.
(4). Participating students will learn basic electrochemical experiment and analysis techniques such as battery production, battery polarization/power curve evaluation, cyclic voltammetry measurement, etc. during the course of this topic.
(5). In addition to learning electrochemical experiments and analytical techniques, this topic will be combined with the AIoT technology of the Electrical Machinery Department to achieve the environmentally sustainable development goal of "growing vegetables and generating electricity at the same time."
Department of Engineering Research Topics:
IoT cloud biomedical sensing application
(1). Integrate sensors that measure physiological responses: oxygen in the blood (blood oxygen saturation), body temperature, electrocardiogram (ECG), potential skin response (GSR), and patient posture (acceleration), etc. This data can be used for real-time monitoring of patient status, biometric collection, and data can be stored on a computer or displayed on a smartphone.
(2). Participating students from the Department of Environmental Engineering or Chemical Materials will be able to learn the principles and practicality of the Arduino controller.
(3). Participating students from the Department of Electrical Engineering learned the application of biomedical data.
Research topics in the Department of Electrical Engineering:
IoT in smart home monitoring and data analysis
(1). Realize smart home applications through embedded boards and peripheral devices.
(2). Use your mobile phone to control home appliances via Bluetooth (or the Internet).
(3).Add the concept of artificial intelligence (or add big data).
(4). Students from the Department of Electrical Engineering or those who are willing to cross fields can create ideas.
無
without
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 產品或服務製作實際進展產品或服務製作實際進展 Actual progress in product or service production |
60 | |
| 小組進度報告現場表現小組進度報告現場表現 Team progress report on site performance |
20 | |
| 與指導教師互動表現與指導教師互動表現 Interaction with instructors |
20 |
