簡易檢索 / 詳目顯示

研究生: 林昱勳
Yu-Hsun Lin
論文名稱: 基於雲端運算的隨看即用操控系統
See and Play: A Mobile Control System based on Cloud Computing
指導教授: 吳晋賢
Chin-Hsien Wu
口試委員: 張經略
Ching-Lueh Chang
陳彥霖
Yen-Lin Chen
林淵翔
Yuan-Hsiang Lin
洪振偉
Zeng-Wei Hong
學位類別: 碩士
Master
系所名稱: 電資學院 - 電子工程系
Department of Electronic and Computer Engineering
論文出版年: 2011
畢業學年度: 99
語文別: 中文
論文頁數: 40
中文關鍵詞: 雲端計算隨看即用
外文關鍵詞: Cloud Computing, See and Play
相關次數: 點閱:221下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 現今有很多消費電子和手持裝置被開發出來,並且提供越來越便利的服務,大量消費電子的設備伴隨著許多的遙控器,而且我們手裡不可能同時攜帶著所有的遙控器,根據我們所觀察出的問題,我們提出了一個基於雲端運算的行動操控系統。我們藉由手持裝置(PDA或智慧型手機)利用更直覺化的方式來控制消費電子設備,透過手持裝置的攝影機,使用者只要點擊畫面中的設備,藉由影像分析,我們可以辨識出使用者所選擇的是哪一個設備,為了達到上述的目的,我們必須先將手持裝置和設備做定位,接著將這些定位的資訊和取得使用者眼前的畫面傳送至雲端做的影像比對我們可以辨識出畫面中的設備。在設備被成功的辨識出來之後,使用者可以選擇設備而手持行動裝置也可以動態的安裝相對應的設備控制介面,透過設備控制介面使用者便可以直接的控制設備。這篇論文最主要的目的為隨看即用(see-and-play),在我們的實驗中利用雲端強大的運算能力,我們透過android系統平台藉由控制印表機和電視來展現出我們所實作的隨看即用的功能。


    Many consumer devices and mobile devices are developed and provide more and more convenient services. Consumer devices might be with a lot of remote controllers and we can not carry all remote controllers in hand. Such an observation motivates our work on a mobile control system based on clouding computing. We will propose an intuitive way to control consumer devices by mobile devices (e.g., PDAs or smart phones). Users just touch a device in screen through a mobile device's camera and then the device can be recognized by image analysis. For achieving this, the position locating of mobile phones and consumer devices will be resolved first. Secondly, the location information and captured images will be sent to cloud for efficient image matching. After the device is recognized successfully, users can touch the device and mobile phones can dynamically install the corresponding device control interface and then control the device directly. We call the function see-and-play (SnP) which is the objective of the paper. With the cloud's powerful computing capability, we can demonstrate the implementation of SnP in the experiments by controlling a printer and a TV with an Android platform.

    第一章 前言 第二章 相關文獻探討 1. 智慧家庭 2. 雲端運算 3. 增廣實境(Augmented Reality) 第三章 研究動機 第四章 行動控制系統 1. 系統概要 2. 系統初始化 2.1. 建立連線 2.2. 使用者及設備的管理 3. 設備辨識 3.1. 定位使用者及設備 3.2. 影像比對 4. 隨看即用 第五章 系統實作及實驗結果 1. 智慧家庭環境的建置 2. 架設雲端系統 3. 設備控制介面 4. 設備辨識 4.1. 定位 4.2. 影像比對 5. 系統流程 第六章 結論 第七章 參考文獻 作者簡介

    [1] Li Jiang, Da-You Liu, B0 Yang, “Smart home research”, Machine Learning and Cybernetics, Shanghai, IEEE, pp. 659 – 663, 2004.

    [2] Vincent Ricquebourg, David Menga, David Durand, Bruno Marhic, Laurent Delahoche, Christophe Loge, "The Smart Home Concept : our immediate future", E-Learning in Industrial Electronics, IEEE, pp. 23-28, 2006.

    [3] Seung-Ho Baeg, Jae-Han Park, Jaehan Koh, Kyung-Wook Park, Moon-Hong Baeg, "Building a Smart Home Environment for Service Robots Based on RFID and Sensor Networks", Control, Automation and Systems, IEEE, pp. 1078-1082, 2007.

    [4] Chao-Lin Wu, Li-Chen Fu, "A human-system interaction framework and algorithm for UbiComp-based smart home", Human System Interactions, IEEE, pp. 257-p262, 2008.

    [5] Ping Wang, Huali Jiang, WenZao Shi, MingChuan Cheng, "Design and Realization of Remote Control in Smart Home System", Communication Software and Networks, IEEE, pp. 13-15, 2009.

    [6] Jenq-Muh Hsu, I-Ray Chang, "Design a Virtual Object Representing Human-Machine Interaction for Music Playback Control in Smart Home", Complex, Intelligent and Software Intensive Systems, IEEE, pp. 617-619, 2009.

    [7] Google App Engine. 2009. http://appengine.google.com/

    [8] Amazon Elastic Compute Cloud (EC2). 2009. http://aws.amazon.com/ec2/

    [9] Yongquan Yang, Zhiqiang Wei, Dongning Jia, Yanping Cong, Ruobing Shan, "A Cloud Architecture Based on Smart Home", Education Technology and Computer Science (ETCS), IEEE, pp. 440-443, 2010.

    [10] Zhiqiang Wei, Shuwei Qin, Dongning Jia, Yongquan Yang, "Research and Design of Cloud Architecture for Smart Home", Software Engineering and Service Sciences, IEEE, pp. 86-89, 2010.

    [11] Ronald Azuma, Yohan Baillot, Reinhold Behringer, Steven Feiner, Simon Julier, Blair MacIntyre, "Recent advances in augmented reality", Computer Graphics and Applications, IEEE, pp. 34-47, 2001.

    [12] Federico Thomas and Lluis Ros, "Revisiting trilateration for robot localization", ROBOTICS, IEEE, pp. 34-47, 2001.

    [13] Bradski, Gary R., "Learning OpenCV : computer vision with the OpenCV library by Gary Bradski and Adrian Kaehler", O'Reilly, 2008.

    [14] Hadoop. http://wiki.apache.org/hadoop/

    [15] MapReduce. http://hadoop.apache.org/mapreduce/docs/current/mapred/tutorial.html/

    [16] Nektarios Papadopoulos, Apostolos Meliones, Dimitrios Economou, Ioannis Karras, Ioannis Liverezas, "A Connected Home Platform and Development Framework for Smart Home Control Applications", Industrial Informatics, IEEE, pp. 408-409, 2009.

    [17] Hsuan-Yu Huang, Wei-Chung Teng, Sheng-Luen Chung, "Smart home at a finger tip OSGi-based MyHome", Systems, Man and Cybernetics, IEEE, pp. 4467-4472, 2009.

    [18] Jeffrey Nichols, Brad A. Myers, "Studying The Use of Handhelds to Control Smart Appliances", Distributed Computing Systems Workshops, IEEE, pp. 274-279, 2003.

    [19] Vicente et al, “A proposal for a hardware architecture for ubiquitous computing in smart home environments”, Int. Conf. on Ubiquitous Computing: Applications, Technology and Social Issues, June 2006.

    [20] R.-T. Lin et al, “OSGi-Based Smart Home Architecture for heterogeneous network”, 3rd Int. Conference on Sensing Technology, Dec. 2008, pp. 527-532.

    無法下載圖示 全文公開日期 2016/07/26 (校內網路)
    全文公開日期 2031/07/26 (校外網路)
    全文公開日期 2031/07/26 (國家圖書館:臺灣博碩士論文系統)
    QR CODE