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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 郭振華 | zh_TW |
dc.contributor.advisor | Jen-Hwa Guo | en |
dc.contributor.author | 廖經上 | zh_TW |
dc.contributor.author | Ching-Shang Liao | en |
dc.date.accessioned | 2023-03-19T21:05:28Z | - |
dc.date.available | 2023-12-25 | - |
dc.date.copyright | 2022-09-23 | - |
dc.date.issued | 2022 | - |
dc.date.submitted | 2002-01-01 | - |
dc.identifier.citation | [1] W. Munk and C. Wunsch, "Ocean acoustic tomography: A scheme for large scale monitoring," Deep Sea Research Part A. Oceanographic Research Papers, vol. 26, no. 2, pp. 123-161, 1979. [2] B. Cornuelle, W. Munk, and P. Worcester, "Ocean acoustic tomography from ships," Journal of Geophysical Research: Oceans, vol. 94, no. C5, pp. 6232-6250, 1989. [3] K. Chen, C.-F. Huang, S.-W. Huang, J.-Y. Liu, and J. Guo, "Mapping coastal circulations using moving vehicle acoustic tomography," The Journal of the Acoustical Society of America, vol. 148, no. 4, pp. EL353-EL358, 2020. [4] C.-F. Huang, Y.-W. Li, and N. Taniguchi, "Mapping of ocean currents in shallow water using moving ship acoustic tomography," The Journal of the Acoustical Society of America, vol. 145, no. 2, pp. 858-868, 2019. [5] D. Behringer et al., "A demonstration of ocean acoustic tomography," Nature, vol. 299, no. 5879, pp. 121-125, 1982. [6] T. G. Birdsall et al., "Moving ship tomography in the North Atlantic," EOS (ISSN 0096-3941, vol. 75, no. 2, p. 17, 1994. [7] A. C. Kak and M. Slaney, Principles of computerized tomographic imaging. SIAM, 2001. [8] C. Crawford and A. Kak, "Aliasing artifacts in computerized tomography," Applied Optics, vol. 18, no. 21, pp. 3704-3711, 1979. [9] F. Natterer, The mathematics of computerized tomography. SIAM, 2001. [10] N. E. Leonard, D. A. Paley, F. Lekien, R. Sepulchre, D. M. Fratantoni, and R. E. Davis, "Collective motion, sensor networks, and ocean sampling," Proceedings of the IEEE, vol. 95, no. 1, pp. 48-74, 2007. [11] N. Barth and C. Wunsch, "Oceanographic experiment design by simulated annealing," Journal of Physical Oceanography, vol. 20, no. 9, pp. 1249-1263, 1990. [12] J. Unnikrishnan and M. Vetterli, "Sampling and reconstruction of spatial fields using mobile sensors," IEEE Transactions on Signal Processing, vol. 61, no. 9, pp. 2328-2340, 2013. [13] J. S. Willcox, J. G. Bellingham, Y. Zhang, and A. B. Baggeroer, "Performance metrics for oceanographic surveys with autonomous underwater vehicles," IEEE Journal of Oceanic Engineering, vol. 26, no. 4, pp. 711-725, 2001. [14] S. R. Deans, The Radon transform and some of its applications. Courier Corporation, 2007. [15] F. Natterer, "Sampling in fan beam tomography," SIAM Journal on Applied Mathematics, vol. 53, no. 2, pp. 358-380, 1993. [16] D. P. Petersen and D. Middleton, "Sampling and reconstruction of wave-number-limited functions in N-dimensional Euclidean spaces," Information and control, vol. 5, no. 4, pp. 279-323, 1962. [17] P. Rattey and A. Lindgren, "Sampling the 2-D Radon transform," IEEE transactions on acoustics, speech, and signal processing, vol. 29, no. 5, pp. 994-1002, 1981. [18] T. B. Curtin, J. G. Bellingham, J. Catipovic, and D. Webb, "Autonomous oceanographic sampling networks," Oceanography, vol. 6, no. 3, pp. 86-94, 1993. [19] D. E. Dudgeon and R. M. Mersereau, Multidimensional digital signal processing. Prentice-Hall, 1984. [20] R. Bras, "guez-Iturbe, Random Functions and Hydrology, 559 pp," ed: Dover, Mineola, NY, 1993. [21] J. M. Mejía and I. Rodríguez‐Iturbe, "On the synthesis of random field sampling from the spectrum: An application to the generation of hydrologic spatial processes," Water Resources Research, vol. 10, no. 4, pp. 705-711, 1974. [22] M. H. Chang, T. Y. Tang, C. R. Ho, and S. Y. Chao, "Kuroshio‐induced wake in the lee of Green Island off Taiwan," Journal of Geophysical Research: Oceans, vol. 118, no. 3, pp. 1508-1519, 2013. [23] N. P. Fofonoff and R. Millard Jr, "Algorithms for the computation of fundamental properties of seawater," 1983. [24] J. S. Willcox, "Oceanographic surveys with autonomous underwater vehicles: Performance metrics and survey design," Massachusetts Institute of Technology, 1998. | - |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/83355 | - |
dc.description.abstract | 本研究旨在發展一調查分析工具,在給定海洋現象之相關時/空特徵尺度以及考慮無人船之有限資源下,可用來決策移動船聲層析實驗時之最佳軌跡。由於大部分海洋現象為一動態過程,透過理論分析方式,本研究首先推導出調查誤差指標(survey error metric) 之解析形式,用以量化移動船進行聲層析調查時因空間取樣不足及海洋時變性之調查誤差。且該理論指標亦在本研究中以數次數值模擬實驗來進行驗證。此外,考量無人船有限承載能量及最大/最小速度之限制,本研究推導出調查包絡 (survey envelope) 之解析形式,此包絡劃定了無人船在能量與速度之限制下,可成功完成實驗之調查參數空間。整合前述所提之調查誤差指標調查包絡,此調查分析工具可應用於移動船聲層析之實驗設計問題,並協助使用者量化不同調查策略中之優劣以從中取捨。最後,則藉由實例應用該工具於給定時/空特徵尺度之隨機場調查與綠島渦流聲速場調查之實驗設計問題,並對其進行相關討論。 | zh_TW |
dc.description.abstract | This study aims at developing a survey analysis tool to determine the optimal trajectories of the autonomous surface vehicles (ASVs) to conduct a moving-vehicle tomography (MVT) experiment given an oceanographic process of interest with its associated spatial and temporal scales and limited resources of survey vehicles. As most of the oceanographic process is not stationary but evolving with time, a “survey error metric” is derived analytically for the MVT survey which accounts for errors due to both spatial under-sampling and temporal evolution of the sample field. The analytic metric has been validated numerically using several synthetic MVT experiments. In addition, due to the finite energy capacity and minimum/maximum speeds of the ASVs, a “survey envelope” delineating a operational region of survey parameter space is defined within which an ASV can complete a survey successfully. The developed survey analysis tool combines the survey error metric with the survey envelope to gain insight into the MVT experiment design problem and to quantify the trade-off between different survey strategies. Finally, the usefulness of the survey analysis tool was demonstrated using several examples including both the stochastic fields with given spatial-temporal scales and the synthetic sound-speed variations induced by flow passing an island. | en |
dc.description.provenance | Made available in DSpace on 2023-03-19T21:05:28Z (GMT). No. of bitstreams: 1 U0001-2009202221545500.pdf: 4310193 bytes, checksum: aaccdc76a1c2747f4ab344e49d876071 (MD5) Previous issue date: 2022 | en |
dc.description.tableofcontents | 誌謝 i 中文摘要 ii ABSTRACT iii CONTENTS iv LIST OF FIGURES vii LIST OF TABLES ix Chapter 1 Introduction 1 1.1 Background and Motivation 1 1.2 A Concise Survey of the Literature 2 1.2.1 Ocean Acoustic Tomography and Moving-Vehicle Tomography 2 1.2.2 Sampling Issues and Experiment Design Problems 4 1.3 Objective 5 1.4 Scopes of the Thesis 5 Chapter 2 Radon Transform and Sampling Issues 6 2.1 Radon Transform 6 2.1.1 Theory 6 2.1.2 Sampling Geometry 8 2.2 Fourier Slice Theorem 9 2.3 Comparisons with Pointwise Measurement 11 2.4 Summary 14 Chapter 3 Performance Metrics 15 3.1 Energy Analysis 16 3.1.1 Survey Envelope 18 3.2 Error Analysis 21 3.2.1 Spatial Survey Error 21 3.2.2 Temporal Survey Error 26 3.2.3 Total Survey Error 29 3.3 Summary 30 Chapter 4 Simulation and Validation 31 4.1 Process Simulation 31 4.1.1 Spatial Random Field 32 4.1.2 Time Evolution 35 4.2 MVT Simulation 37 4.3 Simulation Results 39 4.3.1 Spatial Sampling Errors 39 4.3.2 Temporal Sampling Errors 43 4.3.3 Total Survey Errors 44 4.4 Summary 45 Chapter 5 Applications 46 5.1 Survey Analysis Tool 46 5.1.1 Spatial Survey Errors 47 5.1.2 Temporal Survey Errors 48 5.1.3 Total Survey Errors 48 5.1.4 Discussions 49 5.2 Experiment Design 51 5.2.1 Survey Design 51 5.2.2 Vehicle Design 54 5.3 Application to the Wakes of Green Island 60 5.3.1 The Sound Speed Process 60 5.3.2 The Survey of Sound Speed Process 63 5.3.3 The Survey Results and Discussions 65 5.4 Summary 67 Chapter 6 Conclusions 68 6.1 Summary of Contributions 68 REFERENCES 70 | - |
dc.language.iso | en | - |
dc.title | 利用無人船進行海洋聲速場之層析重建:性能指標與調查設計 | zh_TW |
dc.title | Tomographic Reconstruction of Ocean Sound Speeds using Autonomous Surface Vehicles: Performance Metrics and Surveys Design | en |
dc.type | Thesis | - |
dc.date.schoolyear | 110-2 | - |
dc.description.degree | 碩士 | - |
dc.contributor.oralexamcommittee | 黃千芬;戴璽恆;鄭志文 | zh_TW |
dc.contributor.oralexamcommittee | Chen-Fen Huang;Hsi-Heng Dai;Chih-Wen Zheng | en |
dc.subject.keyword | 移動船聲層析,性能指標,實驗設計, | zh_TW |
dc.subject.keyword | moving-vehicle tomography,performance metrics,experiment design, | en |
dc.relation.page | 71 | - |
dc.identifier.doi | 10.6342/NTU202203684 | - |
dc.rights.note | 未授權 | - |
dc.date.accepted | 2022-09-23 | - |
dc.contributor.author-college | 工學院 | - |
dc.contributor.author-dept | 工程科學及海洋工程學系 | - |
顯示於系所單位: | 工程科學及海洋工程學系 |
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