臺灣博碩士論文加值系統

近年來物聯網正在日益普及，物聯網是新興的網際網路技術，它改變了人們看待事物的方式，締造人們創新生活方式，如今已經成為人們生活中不可或缺的一部分，物聯網可以共享數據並完成任務，使得用戶控制設備不再侷限於地點，帶來更加便利的生活。
　　本文主要目的是設計一個易於使用的智慧家庭系統，將一個習慣的家庭轉變為智慧家庭，用戶可以輕易使智慧裝置連上家中無線網路，具體而言，我們旨在設計一個低成本，可擴展，使用物聯網的靈活無線智慧家庭系統，採用了無線通信和雲端網絡的結合，使用基於MQTT的應用程式遠端存取和控制設備，無論任何平台都可以正常使用，且提供友好的使用者界面和易於安裝的特點，用戶可以靈活的從遠端控制各種家中電器設備，用戶可以透過智慧型手機、平板電腦、桌上型電腦使用系統，系統將通過不斷監測家庭環境並將感測器數據儲存到特定裝置，以供日後查詢或資料分析用。
　　家庭成員在家中可藉由智慧鏡子顯示家庭設備數據及控制，智慧鏡子可以幫助人們準備一天的開始，透過臉部辨識進行身分驗證，在智慧鏡子上面提供個人化的訊息，為了提升辨識的準確度，導入了機器學習技術，每次都會將驗證成功的圖片加入樣本中，用於重建神經網路，讓準確率隨者使用次數提升，模型使用高斯混和模型建立，透過EM演算法最佳化，讓準確率隨者使用次數提升，也會透過網路傳送到後端伺服器使用神經網路辨識，也包含發聲裝置閱讀新聞，讓用戶在洗臉或是刷牙時不會在觀看上產生困難。

Recently, the applications of Internet of Things technique are widely used in our life. The Internet of Things is considered as a technique using Internet. Several new and innovative lifestyles have been created and IoT becomes an indispensable part in human lives. Human can remotely control all devices using Internet at any time without location limitation. The data are collected, shared and analyzed for improving the life quality.
In this thesis, we have designed a platform for providing IoT services using in a smart home. It is a low-cost and scalable network by integrating the wireless communication and cloud network for IoT services. Any new sensor or device can easily be mounted and connects with the platform using wireless networks. The MQTT protocol is adopted for high efficiency consideration. The designed platform is easily installed because of the user-friendly interfaces. Users can remotely control any devices at home using the web-browsers without any software installation. We can browse the data from any devices such as PCs, smart phones, tablets, laptops, etc. The data of sensors are continuously collected and stored at a specified storage device. The environment is monitored by several simple rules from the collected sensor data. They will be retrieved and analyzed in the future. In addition, a start mirror is also designed for device control and data access. Personal data such e-mail, calendar, weather report are displayed on the mirror when people standard at the front of mirror. People are identified by using face recognition. Machine learning techniques are integrated into the face recognition module. Each captured face image are learned and re-trained for accuracy improvement. The audio function for reading news is also provided. Using this smart mirror, people can access and control all devices in a smart home.

第1章、 緒論
1-1 研究動機
第2章、 相關研究
2-1 人臉辨識
2-2 MQTT架構及傳遞方式
2-3 相關平台
第3章、 系統架構
3-1 硬體與虛擬化環境建置
3-2 軟體環境建置
3-3 具安全性的響應式與漸進式網頁設計
3-4 引導式的裝置設定
3-5 智慧鏡子開發
第4章、 壓力測試
4-1 TCP連線測試
4-2 SSL連線測試
4-3 發布與訂閱訊息測試
4-4 HTTP網頁壓力測試
第5章、 結論與未來展望

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