請用此 Handle URI 來引用此文件：
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/84890完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 周瑞仁(Jui-Jen Chou) | |
| dc.contributor.author | Ching-Hsuan Yang | en |
| dc.contributor.author | 楊謦瑄 | zh_TW |
| dc.date.accessioned | 2023-03-19T22:31:06Z | - |
| dc.date.copyright | 2022-09-08 | |
| dc.date.issued | 2022 | |
| dc.date.submitted | 2022-08-25 | |
| dc.identifier.citation | 中國航空工業集團有限公司。2018。無人機系統發展白皮書 (2018) 。中國：中國航空工業集團有限公司。網址：https://www.dx2025.com/archives/2168.html。上網日期：2021-10-05。 中華民國交通部。2020。2020交通科技產業政策白皮書。48-52。台北：交通部科技顧問室。 范姜肱、章明純、許伊婷。2016。臺灣保險業Next: UBI車聯網保險。台北：保險事業發展中心。 黃惠聆。2020。產險聯盟區塊鏈 首獲試辦。台北：工商時報。網址：https://ctee.com.tw/news/insurance/630674.html。上網日期：2022-06-04。 鏈報。2019。你聽說過區塊鏈五大特性特徵嗎？。網址：https://www.chaindaily.cc/posts/8717717bab849ee5a1a66f854403b8d0。上網日期：2021-10-13。 Benigno, P., L. M. Schilling, and H. Uhlig. 2022. Cryptocurrencies, currency competition, and the impossible trinity. Journal of International Economics. 136: 103601. Binance. 2020. Private, public, and consortium blockchains - What's the Difference? Available at: https://academy.binance.com/zt/articles/private-public-and-consortium-blockchains-whats-the-difference. Accessed 23 October 2021. Bosisio, R., K. Burchardi, T. Calvert, and M. Hauser. 2018. The first all-blockchain insurer. Boston Counsulting Group. Brühwiler, L., C. Fu, H. Huang, L. Longhi, and R. Weibel. 2022. Predictin individuals' car accident risk by trajectory, driving events, and geographical context. Computers, Environment and Urban Systems. 93: 101760. Business Wire. 2019. The commercial drone market is experiencing steady, sustained growth and consolidation, with global revenue expected to reach $13.7 billion by 2025, according to tractica. Boulder, Colo.: Business Wire. Available at: https://www.businesswire.com/news/home/20191017005073/en/The-Commercial-Drone-Market-Is-Experiencing-Steady-Sustained-Growth-and-Consolidation-with-Global-Revenue-Expected-to-Reach-13.7-Billion-by-2025-According-to-Tractica. Accessed 04 October 2021. Buterin, V. 2014. A next-generation smart contract and decentralized application platform. White paper. 3 (37) : 2-1. Cole, C. 2020. Accidents will happen. a review of military drone crash data as the UK considers allowing large military drone flights in its airspace. Drone Wars UK. Dai, J., and M. A. Vasarhelyi. 2017. Toward blockchain-based accounting and assurance. Journal of information systems. 31 (3) : 5-21. Dingus, T. A., S. G. Klauer, V. L. Neale, A. Petersen, S. E. Lee, J. Sudwe-eks, and R. R. Knipling. 2006. The 100-car naturalistic driving study, phase II-results of the 100-car field experiment. United States. Department of Tran-sportation. National Highway Traffic Safety Administration. Dwork, C., and M. Naor. 1992. Pricing via processing or combatting junk mail. In “Annual International Cryptology Conference”, 139-147. Heidelberg: Springer. Edlin, A. 1999. Per-mile premiums for auto insurance. Geyer, A., D. Kremslehner, and A. Muermann. 2018. Asymmetric information in automobile insurance: evidence from driving behavior. Gorucu, S., and Y. Ampatzidis. 2021. Drone injuries and safety recommendations. EDIS 2021 (3) . Händel, P., J. Ohlsson, M. Ohlsson, I. Skog, and E. Nygren. 2013. Smartphone-based measurement systems for road vehicle traffic monitoring and usage-based insurance. IEEE systems journal. 8 (4) : 1238-1248. Heaton, J. 2017. The number of hidden layers. Available at: https://www.heatonresearch.com/2017/06/01/hidden-layers.html. Accessed 17 June 2022. Kantor, S., and T. Stárek. 2014. Design of algorithms for payment telematics systems evaluating driver's driving style. Transactions on Transport Sciences. 7 (1) : 9. King, S., and S. Nadal. 2012. Ppcoin: peer-to-peer crypto-currency with proof-of-stake. Self-published paper 19 (1) . Larios-Hernández, G. J. 2017. Blockchain entrepreneurship opportunity in the practices of the unbanked. Business Horizons. 60 (6) : 865-874. LeCun, Y., Bengio, Y., & Hinton, G. 201) . Deep learning. Nature. 521 (7553) : 436-444. Lin, Ivan. 2020. R 數值預估評估方法。Available at: https://rpubs.com/ivan0628/numerical_model_evaluation. Accessed 27 June 2022. Lin, Y. P., J. R. Petway, J. Anthony, H. Mukhtar, S. W. Liao, C. F. Chou, and Y. F. Ho. 2017. Blockchain: The evolutionary next step for ICT e-agriculture. Environments. 4 (3) : 50. Litman, T. 2005. Pay-As-You-Drive pricing and insurance regulatory objectives. Journal of Insurance Regulation. 23 (3) . Nakamoto, S. 2008. Bitcoin: A peer-to-peer electronic cash system. Decentralized Business Review. 21260. Neale, V. L., S. G. Klauer, R. R. Knipling, T. A. Dingus, G. T. Holbrook, A. Petersen. 2002. The 100 car naturalistic driving study, Phase I-experimental design. Nichols, B. G., and K. M. Kockelman. 2014. Pay-as-you-drive insurance: Its impacts on household driving and welfare. Transportation Research Record. 2450 (1) : 76-82. Oncu, M., and S. Yildiz. 2014. An analysis of human causal factors in unmanned aerial vehicle (uav) accidents. Naval Postgraduate School Monterey Ca Graduate School of Business and Public Policy. Paefgen, J., T. Staake, and F. Thiesse. 2013. Evaluation and aggregation of pay-as-you-drive insurance rate factors: A classification analysis approach. Decision Support Systems. 56: 192-201. Pérez-Marín, A. M., and M. Guillen. 2019. Semi-autonomous vehicles: Usage-based data evidences of what could be expected from eliminating speed limit violations. Accident Analysis and Prevention. 123: 99-106. POA Network. 2017. Proof of Authority: consensus model with identity at stake. Available at: https://medium.com/poa-network/proof-of-authority-consensus-model-with-identity-at-stake-d5bd15463256. Accessed 5 June 2022. Ranjan, C. 2019. Rules-of-thumb for building a neural network. Available at: https://towardsdatascience.com/17-rules-of-thumb-for-building-a-neural-network-93356f9930af. Accessed 17 June 2022. Raspberry Pi Foundation. 2019. Raspberry pi documentation. U.K.: Raspberry Pi Foundation. Available at: https://www.raspberrypi.com/documentation/. Accessed 10 October 2021. Richardson, M. 2019. Blockchain use case or not. U.S.: Blockchain rraining alliance. Available at: https://blockchaintrainingalliance.com/blogs/news/blockchain-use-case-or-not. Accessed 20 June 2020. Roriz, R., and J. L Pereira. 2019. Avoiding insurance fraud: a blockchain-based solution for the vehicle sector. Procedia Computer Science. 164: 211-218. Roth, C., S. Aringer, J. Petersen, and M. Nitschke. 2020. Are sensor-based business models a threat to privacy? the case of pay-how-you-drive insurance models. In “International Conference on Trust and Privacy in Digital Business”, 75-85. Cham: Springer. Schuh, F., and D. Larimer. 2015. Bitshares 2.0: Financial smart contract platform. Accessed: Jan. 15, 2017. Singer, A. W. 2019. Can blockchain improve insurance?. Risk Management. 66 (1) : 20-25. Stack Overflow. 2022. Stack overflow trends. U.S.: Stack Exchange Inc. Available at: https://insights.stackoverflow.com/trends?tags=reactjs%2Cvue.js%2Cangular%2Cangularjs. Accessed 20 June 2021. The Economist. 2015. The trust machine. Available at: https://www.economist.com/leaders/2015/10/31/the-trust-machine. Accessed 15 June 2021. Troncoso, C., G. Danezis, E. Kosta, J. Balasch, and B. Preneel. 2010. Pripayd: Privacy-friendly pay-as-you-drive insurance. IEEE Transactions on Dependable and Secure Computing. 8 (5) : 742-755. White, G. R. 2017. Future applications of blockchain in business and management: A delphi study. Strategic Change. 26 (5) : 439-451. Williams, K. W. 2004. A summary of unmanned aircraft accident/incident data: Human factors implications. Federal Aviation Administration Oklahoma City Ok Civil Aeromedical Inst. Yannacopoulos, A. N., C. Lambrinoudakis, S. Gritzalis, S. Z. Xanthopoulos, and S. N. Katsikas. 2008. Modeling privacy insurance contracts and their utilization in risk management for ICT firms. In “European Symposium on Research in Computer Security”, 207-222. Heidelberg: Springer. Zadeh, L. A. 1988. Fuzzy logic. Computer, 21 (4) : 83-93. Ziegeldorf, J. H., R. Matzutt, M. Henze, F. Grossmann, and K. Wehrle. 2018. Secure and anonymous decentralized bitcoin mixing. Future Generation Computer Systems. 80: 448-466. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/84890 | - |
| dc.description.abstract | 本研究基於區塊鏈的架構提出一套個人化無人機保費演算機制，結合無人機歷史飛航數據與保險客戶理賠紀錄，以達到保費個人化之目的。隨著無人機的數量與應用不斷增長，無人機事故時有所聞，為了保障事故中的受害者，建構一個合理且接收度高的保費運算機制為當務之急。由於精算數據不足，目前市面上的無人機保費僅以無人機機齡、種類、重量大致分類，至於任務飛行場域的風險與特性、任務差異、操作員飛航表現皆未納入考量，這些都將影響無人機發生事故的機率，故應為保費計算之重要指標。本研究配合分散式無人機航管系統組成分散式儲存暨區塊鏈系統，以保障無人機飛航資料之機密性、完整性、可用性，解決資安方面的疑慮。同時加入模糊理論之從屬度概念於保費分類上，使保險費用能夠在低額、中額、高額不同保費間平滑過度，並利用機器學習方法建立個人化保費模型，以計算個人化保費。此外，為了能達到保險業者之預期效益，所開發之程式可自動迭代出各保費類別之合適的基本保費，並用以更新下期保費。依據模擬數據顯示，本研究確實可以達到個人化保險之目的，亦可調整各保費類別之基本保費，以達保險業者之預期效益。 | zh_TW |
| dc.description.abstract | This study proposes the calculation method of a personalized UAV insurance premium based on a blockchain structure, historical flight data of UAV and owner claims records. With the growing number and applications of UAVs, UAV accidents are heard from time to time. In order to financially protect the victims of UAV accidents, it is imperative to construct a reasonable and highly acceptable insurance premium model. Due to the lack of actuarial data, the current UAV insurance premiums in the market are only roughly categorized by UAV's ages, types, and weight. However, there are many factors that affect the chance of UAV accidents, such as flight mission, area and operator's flight performance. They all need to be considered in the premium calculation. This study establishes the decentralized storage and blockchain system of the insurance premium calculation under a decentralized UAS traffic management framework. It can achieve confidentiality, integrity, and availability of UAV flight data and insurance information. Fuzzy theory is also incorporated into the premium classification so that the premiums can have smoothly transition among low, medium, and high insurance premiums. Furthermore, we use a machine learning approach to build the personalized insurance premium model, which is able to continuously optimize systems with the influx of data and calculate insurance premiums. According to the simulation this study can indeed appropriately adjust the base insurance premium for each category, satisfy the expected benefits and achieve the purpose of personalized insurance. | en |
| dc.description.provenance | Made available in DSpace on 2023-03-19T22:31:06Z (GMT). No. of bitstreams: 1 U0001-2508202220124700.pdf: 4719752 bytes, checksum: 3813b65ada64992a8436e45a2d1add06 (MD5) Previous issue date: 2022 | en |
| dc.description.tableofcontents | 口試委員審定書 i 誌謝 ii 摘要 iii Abstract iv 目錄 vi 圖目錄 ix 表目錄 xii 第1章 緒論 1 1.1 研究背景與動機 1 1.2 研究目的 4 1.3 研究範圍與限制 5 1.4 研究流程 5 第2章 文獻探討 6 2.1. 區塊鏈之簡介 6 2.2. 區塊鏈的共識機制 7 2.3. 區塊鏈之鏈型 9 2.4. 以太坊 10 2.5. 個人化保險 10 2.6. 區塊鏈之應用 12 第3章 研究材料與方法 13 3.1 分散式飛航監管暨保險計算系統架構與流程 13 3.2 區塊鏈需求分析 16 3.2.1 區塊鏈需求分析 16 3.2.2 鏈型分析 18 3.3 分散式儲存暨保險費用評估系統架構 20 3.3.1 分散式儲存暨區塊鏈系統 22 3.3.2 客製化保險模型 25 3.3.3 使用者介面 27 3.4 實驗設備 28 3.5 開發工具 32 3.6 實驗設計 35 3.6.1 建立IPFS 35 3.6.2 建立私有鏈 35 3.6.3 生成模擬數據 35 3.6.4 設計理賠從屬函數 36 3.6.5 訓練各類保險模型 36 3.6.6 驗證保險模行合理性 36 3.6.7 編寫整合程式 36 3.6.8 開發使用者介面 36 第4章 結果與討論 37 4.1 IPFS私有網路之架設 37 4.2 PoA私有鏈之架設 39 4.3 整體模型 43 4.4 從屬函數設計與調整 46 4.5 模擬數據之生成 49 4.6 個人化保費模型 53 4.7 情境模擬 60 4.1 第一年保費之計算 60 4.2 各保費類別之基本保費調整 61 4.3 第二年起之保費計算 64 4.4 前後期保費比較與驗證 64 4.8 各種第三責任險之比較 66 4.9 使用者介面 67 4.9.1. 用戶端 69 4.9.2. 伺服端 73 第5章 結論與未來展望 76 5.1. 結論 76 5.2. 未來展望 76 參考文獻 77 | |
| dc.language.iso | zh-TW | |
| dc.title | 基於區塊鏈配合分散式航管系統之個人化無人機保險 | zh_TW |
| dc.title | Personalized UAV Insurance Based on Blockchain and Decentralized UAS Traffic Management | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 110-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 張斐章(FI-JOHN CHANG),廖世偉(SHIH-WEI LIAO),鍾智昕(CHIH-HSIN CHUNG) | |
| dc.subject.keyword | 無人機,區塊鏈,分散式,個人化,保險, | zh_TW |
| dc.subject.keyword | UAV,Blockchain,Decentralization,Personalization,Insurance, | en |
| dc.relation.page | 81 | |
| dc.identifier.doi | 10.6342/NTU202202825 | |
| dc.rights.note | 同意授權(限校園內公開) | |
| dc.date.accepted | 2022-08-26 | |
| dc.contributor.author-college | 生物資源暨農學院 | zh_TW |
| dc.contributor.author-dept | 生物機電工程學系 | zh_TW |
| dc.date.embargo-lift | 2024-08-31 | - |
| 顯示於系所單位： | 生物機電工程學系 | |
文件中的檔案：
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| U0001-2508202220124700.pdf 授權僅限NTU校內IP使用（校園外請利用VPN校外連線服務） | 4.61 MB | Adobe PDF | 檢視/開啟 |
系統中的文件，除了特別指名其著作權條款之外，均受到著作權保護，並且保留所有的權利。