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研究生: 蔡侑諴
YU-HSIEN TASI
論文名稱: 設計與實作具有持續部署特性的室內定位系統
Design and implementation of indoor positioning systems with continuous deployment
指導教授: 呂政修
Jenq-Shiou Leu
口試委員: 阮聖彰
Shanq-Jang Ruan
周承復
Cheng-Fu Chou
鄭瑞光
Ray-Guang Cheng
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: 2023
畢業學年度: 112
語文別: 中文
論文頁數: 29
中文關鍵詞: 自動化訓練KubeflowKubernetes持續訓練Wi-Fi 定位指紋定位模型及服務MLOps
外文關鍵詞: Automated training, Kubeflow, Kubernetes, Continuous training, Wi-Fi localization, Fingerprint localization, Model as a Service, MLOps
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  • 摘要 I Abstract II 誌謝 III 圖表索引 VI 第1章 緒論 1 1.1 研究背景與動機 1 1.2 研究目的 2 1.3 章節提要 3 第2章 相關文獻 4 2.1 室內定位技術(Indoor Positioning System, IPS) 4 2.1.1 藍牙低功耗(Bluetooth Low Energy, BLE) 4 2.1.2 無線網路(Wireless Fidelity, Wi-Fi) 4 2.1.3 超寬頻(Ultra-wideband, UWB) 4 2.1.4 可見光通訊(Visible Light Communication, VLC) 5 2.1.5 視覺影像定位(Vision-Based Positioning) 5 2.1.6 行人航位推算演算法(Pedestrian Dead Reckoning, PDR) 5 2.1.7 磁場(Geomagnetic) 6 2.2 分散式AI/ML訓練平台建置及模型部署 7 2.2.1 Kubernetes 7 2.2.2 Kubeflow 8 2.2.3 TensorFlow Lite 11 2.2.4 MinIO 12 2.2.5 Firebase 12 第3章 室內定位系統設計 14 3.1 系統架構 14 3.2 資料蒐集 15 3.3 資料前處理(Pre-processing) 16 3.3.1 標籤編碼(Label Encoder) 16 3.3.2 主成分分析(Principal Component Analysis, PCA) 16 3.3.3 正規化(Normalization) 17 3.4 模型設計 17 3.5 定位設計 17 第4章 實驗結果 19 4.1實驗工具介紹 19 4.2實驗環境介紹 21 4.3實驗結果 24 第5章 結論 26 參考文獻 27

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