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 make products or services within one year through Conceive, Design, Implementation and Operation. This product or service must be completed collectively by cross-department teams. The goal of the course allows the student group to cooperate and integrate various technologies to complete the task of producing products or services. During the production process, students are able to learn communication, gather resources, show creativity, practice handwriting, plan schedule and final results display.
The current theme is
109 Learn the annual engineering discipline topic

Research topics of the Department of Qualifications:
1. 3D AR combined with cloud technology application:
(1). Establish 3D AR (augmented reality) services through the cloud platform.
(2). You can use the cloud platform to manage 3D AR service user data, or perform services such as image identification.
(3). Provide mobile AR function, using a 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 App.
(6). Welcome to join the department of employment or other cross-domain students.

2. AI and large data analysis applications:
(1). Use AI or large data analysis technology to establish prediction models or determine information assisted by decisions.
(2). Possible application areas include smart network, medical care, visual marketing, etc.
(3). Welcome to join the department of employment or other cross-domain students.

Research topics of the Department of Environmental Engineering:
Apply AIoT technology to monitor and optimize vegetable microbial fuel battery operation
(1). Try to use different vegetable plants, such as water spinach, cherry, cabbage, divination, etc. to construct plant microbial fuel batteries, and explore which vegetables can get the highest power of production.
(2). During the operation of plant microbial fuel cells, Arduino is used to conduct continuous monitoring of operation parameters such as pH, dissolved oxygen, temperature, etc., and upload the data to the Internet system for coordination.
(3). Record vegetable images during vegetable planting, and establish an image database for the vegetable cultivation quality identification system.
(4). The students will learn basic electrochemical experiments and analytical technologies such as battery production, battery polarization/power curve evaluation, circular voltammetry measurement, etc. in this topic process.
(5). In addition to electrochemical experiment and analytical technology learning, this topic will be combined with Aiot technology in the electric system to achieve the goal of "one vegetable and one electricity generation" in the environment.

Research topics of the Department of Engineering:
IoT Cloud Domain Medical Sensitivity Application
(1). Sensors for integrating the amount of physiological reactions: oxygen (blood oxygen sum), body temperature, cardiac chart (ECG), skin potential reaction (GSR) and patient posture (acceleration), etc. These data can be used to monitor the patient's status in real time, collect biological characteristics, and the data can be stored on a computer or displayed on a smartphone.
(2). The principle and use of Arduino controllers can be learned by students studying the engineering or chemical materials.
(3). The application of medical data for students in the same school.

Electrical system research topic:
Internet of Things in Smart Home Monitoring and Data Analysis
(1). Through embedded panels and surrounding equipment, smart home applications are realized.
(2). Use your mobile phone to control your home appliances through the blue bud (or online).
(3). Add artificial intelligence concept (or add large data).
(4). Electrical system or intentionally willing to learn creativity across fields.

無

without