博碩士論文 101523037 詳細資訊

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姓名 高霈珊(Pei-shan Kao)  查詢紙本館藏   畢業系所 通訊工程學系
論文名稱 利用離散餘弦基礎之聲音浮水印達到室內定位技術
(Using DCT-Based Audio Watermark for Indoor Location System)
★ 利用智慧天線系統實現精準室內定位技術★ 電力線通訊之競爭存取與路由方法設計與實現
★ 設計與實作基於GRAPES函式庫之P2P即時串流系統★ 利用虛擬指紋建置法之智慧型天線系統實現精準室內定位技術
★ 即時影像串流自適應播放系統之研究★ 利用模糊邏輯控制器於蜂巢式網路降低位置管理機制成本
★ 基於支持向量機及模糊推理之地震預警系統研製★ 基於行動裝置之分散式多人會議系統
★ 以分群為基礎之3D無線與光學網路晶片頻道存取方法★ 基於收前先聽LBR機制之授權型輔助接入LAA架構下於異質網路中暴露節點之研究
★ 支援跳頻之IEEE 802.15.4 ZigBee無線隨身網路機制設計與實現★ 應用於IEEE 802.16行動無線都會網路省電模式參數設定之智慧策略
★ IEEE 802.15.4 ZigBee 無線隨身網路高效能路由演算法分析與設計★ 應用於IEEE 802.16無線寬頻都會網路之具調適性自動重傳請求回報機制
★ 無線感測網路為基礎之空間平面圖自動建構之技術★ 隨機指定埠號對稱式網址轉換器穿透之研究
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摘要(中) 隨著全球衛星定位系統 (Global Position System) 的廣泛利用,人們對於定位導航的功能日漸依賴,當所要前往的目的地或是當下所處的位置是陌生時,便會非常希望有定位導航的服務,以提供方向的指引,由於建築物的遮蔽效應,GPS的訊號在室內會有明顯的衰弱現象,定位結果也會嚴重受到影響而失去精準度。因此如何發展一套良好的室內定位系統是近來許多相關研究的目標。
現有的室內定位技術多半使用無線接取技術 (Radio Access Technology) 做為傳輸媒介,例如:利用Wi-Fi訊號的三角定位法,或是利用藍芽技術的iBeacon等,然而這些技術都需要額外佈建相關設備,像是無線接取設備 (Access Point) 、藍芽接收裝置等,因此我們希望能夠透過另外一種傳輸媒介來完成室內定位的功能,並且避免花費額外佈建設備的成本。
摘要(英) With the wide using of Global Positioning System, people more and more rely on positioning and navigation functions. When we want to go to somewhere we have never been to, we would like to have positioning and navigation functions for giving directions. Due to the shadowing effect of the building, GPS signals will be attenuated significantly and positioning results will be affected seriously. How to develop an accurate indoor location system is the goal of many relevant studies in recent years.
Most of existing indoor location techniques use radio access technologies as the transmission medium, such as the Geometrical Triangulation of using Wi-Fi and iBeacon of using Bluetooth, etc. However, these techniques still exist the problem of location accuracy, as well as the need of providing additional related equipment. As the result, we hope that we can through another kind of medium to achieve accurate indoor location function and it can avoid the extra cost of devices.
The most common medium for transmitting message in daily life is the sound. For example, the advertisement audio in the supermarket and the doorbell in the convenient store, etc. These sound are accustomed to be heard. If we can through embed information into these music, we don’t need to provide any additional devices. When users use their smart phones to record the audio, they can easily know their location by extracting the embedded information. The task of indoor location is completed.
This thesis proposes a new technique for indoor location system. By audio watermark, we embed the longitude and latitude information into the music. After users receive the audio from their smart phones, and extract it by the application, they can get the current location information and then instantly display on their devices to complete the application of indoor location.
關鍵字(中) ★ 離散餘弦變換
★ 音訊浮水印
★ 室內定位
關鍵字(英) ★ Discrete Cosine Transform
★ Audio Watermark
★ Indoor Location System
論文目次 中文摘要 I
2-1 The Background of Indoor Location 3
2-2 The Applications and Requirements of Audio Watermark 5
2-3 The Techniques of Audio Watermark 5
2-3-1 Time-Domain Embedded Techniques 6
2-3-2 Frequency-Domain Embedded Techniques 7
2-3-3 DCT-Based Audio Watermark 8
3-1 The System Architecture 12
3-2 The Encoder 12
3-2-1 Synchronization Embedded Scheme 13
3-2-2 Location Data Embedded Scheme 16
3-3 The Decoder 17
3-3-1 Synchronization Scanning and Extraction Scheme 17
3-3-2 Location Data Extraction Scheme 19
4-1 Experimental Environment Setup 21
4-2 Experimental Results 21
參考文獻 [1] Kimmon Kalliola, “High Accuracy Indoor Positioning Based on BLE”, April 27 2011.
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[3] Guolin Sun, Jie Chen, Wei Guo, and K.J.R. Liu. “Signal processing techniques in network-aided positioning: a survey of state-of-the-art positioning designs,” IEEE Signal Processing Magazine, No. 22:12–23, 2005.
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[6] Tsung-Nan Lin and Po-Chiang Lin. “Performance comparison of indoor positioning techniques based on location fingerprinting in wireless networks,” In International Conference on Wireless Networks, Communications and Mobile Computing, pages 1569–1574, 2005.
[7] IJ Cox, ML Miller and JA Bloom, “Watermarking applications and their properties,” in Proc. of IEEE Int. Conf. on Inf. Technology: Coding and Computing (ITCC 2000), pp.6-10, Las Vegas, USA, 27-29 March, 2000.
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[9] Poulami Dutta, Debnattacharyya, and Tai-hoon Kim, “Data Hiding in Audio Signal:A Review,” International Journal of Database Theory and Application, Vol. 2, No. 2, June, 2009.
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[16] Qiang Cheng, Jeffrey Sorensen, “Spread Spectrum Signaling for Speech Watermarking,” IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 1337-1340, vol. 3, Salt Lake City, UT, 2001.
[17] Xia Zhang, Di Chang, Wanyi Yang, Qian Huang, Wei Guo, Yanbin Zhao, “An Audio Digital Watermarking Algorithm Transmitted via Air Channel in Double DCT Domain,” International Conference on Multimedia Technology, pp. 2926-2930, Hangzhou, 26-28 July, 2011.
[18] Yanbin Zhao, Wanyi Yang, Di Chang, Wei Guo, “A Robust Audio Sonic Watermarking Algorithm Oriented Air Channel,” International Conference on Computational and Information Science, pp. 53-57, Chengdu, China, 21-23 Oct, 2011.
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指導教授 許獻聰(Hsien-tsung Hsu) 審核日期 2014-7-29
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