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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 陳琪芳 | zh_TW |
| dc.contributor.advisor | Chi-Fang Chen | en |
| dc.contributor.author | 許立雙 | zh_TW |
| dc.contributor.author | Li-Shuang Hsu | en |
| dc.date.accessioned | 2025-09-24T16:47:26Z | - |
| dc.date.available | 2025-09-25 | - |
| dc.date.copyright | 2025-09-24 | - |
| dc.date.issued | 2025 | - |
| dc.date.submitted | 2025-08-11 | - |
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Kenney, "Swim speed, behavior, and movement of North Atlantic right whales (Eubalaena glacialis) in coastal waters of northeastern Florida, USA," PLoS ONE 8, e54340 (2013). 77. S. D. Kraus and J. J. Hatch, "Mating strategies in the North Atlantic right whale (Eubalaena glacialis)," J. Cetacean Res. Manage. 2, 237–244 (2001). | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/100188 | - |
| dc.description.abstract | 本研究基於 2024 年海洋哺乳動物的偵測、分類、定位和密度估計研討會（The Detection, Classification, Localization and Density Estimation of marine mammals workshop, DCLDE）提供的聖羅倫斯灣北大西洋露脊鯨聲學數據集，分析了兩種聲源定位演算法：到達時間差法（Time Difference of Arrival, TDOA）與到達方向法（Direction of Arrival , DOA）。
在研究方法部分，TDOA 法利用接收訊號的時間差，結合地圖網格統計，計算各網格點的理論到達時間差與實際接收時間差的差異，再透過高斯擴散來推估聲源位置。而 DOA 法則整合了聲納浮標中全向性（omni-channel）與指向性（DIFAR channel）的資料，計算「方位圖（Azigram）」獲得時間與方位角之關係後，透過核密度估計計算方位角之機率。將多組機率結果疊加後，機率最高處即被認定為聲源位置。 為驗證TDOA定位方法的可行性，先進行了聲源模擬，並以此聲源進行定位驗證。模擬聲源之定位結果顯示，最佳定位誤差可達 42.56 公尺，整體定位誤差約為 189 公尺。在確認模擬實驗的有效性後，本研究將 TDOA 與 DOA 方法應用於 DCLDE的數據集進行比較分析。結果顯示，兩種方法均能有效推估北大西洋露脊鯨的可能移動趨勢，並且此方法具備初步辨識群次數量的能力。 本研究證明被動聲學監測技術是一種高效且具成本效益的工具，可用於輔助鯨豚目視調查與長期生態追蹤。 | zh_TW |
| dc.description.abstract | This study is based on an acoustic dataset of North Atlantic right whales in the Gulf of St. Lawrence, provided by 2024 The Detection, Classification, Localization and Density Estimation of marine mammals workshop. Two sound source localization algorithms were analyzed: the Time Difference of Arrival (TDOA) method and the Direction of Arrival (DOA) method.
In the TDOA approach, time differences between received signals were compared with theoretical values across a map grid. These differences were used to estimate the sound source location by applying a Gaussian distribution to highlight the most probable area. The DOA approach utilized both omni-channel and DIFAR channel data collected from the sonobuoy. By constructing an “Azigram” to examine the relationship between time and bearing, kernel density estimation was applied to calculate the probability distribution of bearing angles. The probability results from multiple sonobuoys were combined, and the location with the highest overall likelihood was identified as the estimated sound source position. To validate the TDOA method, a simulated sound source was created, and localization accuracy was assessed. The best-case localization error reached 42.56 meters, with an overall average of approximately 189 meters. After confirming the effectiveness of the simulation, both TDOA and DOA methods were applied to the actual DCLDE dataset for comparative analysis. The results showed that both methods could effectively infer the likely movement patterns of North Atlantic right whales and demonstrated potential in providing preliminary insights into group number estimation. This study highlights passive acoustic monitoring as an effective and cost-efficient tool for supporting visual surveys and long-term ecological monitoring of marine mammals. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2025-09-24T16:47:26Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2025-09-24T16:47:26Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 口試委員會審定書 i
謝誌 ii 摘要 iii ABSTRACT iv 目次 v 圖次 vii 表次 ix 符號表 x 第一章 緒論 1 1.1 研究動機與目的 1 1.2 文獻回顧 2 1.2.1 北大西洋露脊鯨 2 1.2.2 被動聲學監測 6 1.2.3 水下定位 7 1.3 論文架構 10 第二章 DCLDE數據集 11 2.1 實驗儀器與佈放 13 2.2 鳴音標記資料 17 2.3 聲速資料 17 第三章 研究方法 19 3.1 到達時間差定位法（Time Different of Arrival, TDOA） 19 3.2 到達方向定位法（Direction of Arrival, DOA） 24 第四章 模擬實驗與分析 30 4.1 Bellhop聲線模型 30 4.2 模擬參數設定 32 4.3 模擬結果與分析 34 第五章 數據集定位結果與討論 37 5.1 DAY1定位結果與討論 37 5.2 DAY2 定位結果與討論 40 5.3 TDOA與DOA結果比較與誤差來源分析 46 第六章 結論與建議 49 6.1 結論 49 6.2 建議 50 參考文獻 51 附錄A 盒鬚圖 57 附錄B TDOA與DOA定位結果誤差 59 | - |
| dc.language.iso | zh_TW | - |
| dc.subject | 水下定位 | zh_TW |
| dc.subject | 到達時間差 | zh_TW |
| dc.subject | 到達方向 | zh_TW |
| dc.subject | 被動聲學監測 | zh_TW |
| dc.subject | 水下聲學 | zh_TW |
| dc.subject | Underwater acoustic | en |
| dc.subject | Underwater localization | en |
| dc.subject | Time difference of arrival | en |
| dc.subject | Direction of arrival | en |
| dc.subject | Passive acoustic monitoring | en |
| dc.title | 聖羅倫斯灣北大西洋露脊鯨水下音響定位研究 | zh_TW |
| dc.title | Study of Underwater Acoustic Localization of Northern Atlantic Right Whale in Gulf of Saint Lawrence | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 113-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 黃維信;方銀營;洪靖唐 | zh_TW |
| dc.contributor.oralexamcommittee | Wei-Shien Hwang;Yin-Ying Fang;Ching-Tang Hung | en |
| dc.subject.keyword | 水下定位,到達時間差,到達方向,被動聲學監測,水下聲學, | zh_TW |
| dc.subject.keyword | Underwater localization,Time difference of arrival,Direction of arrival,Passive acoustic monitoring,Underwater acoustic, | en |
| dc.relation.page | 61 | - |
| dc.identifier.doi | 10.6342/NTU202504246 | - |
| dc.rights.note | 同意授權(全球公開) | - |
| dc.date.accepted | 2025-08-14 | - |
| dc.contributor.author-college | 工學院 | - |
| dc.contributor.author-dept | 工程科學及海洋工程學系 | - |
| dc.date.embargo-lift | 2030-08-10 | - |
| 顯示於系所單位： | 工程科學及海洋工程學系 | |
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