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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 黃奎隆 | |
| dc.contributor.author | Yu-Chi Wang | en |
| dc.contributor.author | 王郁琦 | zh_TW |
| dc.date.accessioned | 2021-07-10T22:15:57Z | - |
| dc.date.available | 2021-07-10T22:15:57Z | - |
| dc.date.copyright | 2017-09-04 | |
| dc.date.issued | 2017 | |
| dc.date.submitted | 2017-08-16 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/77687 | - |
| dc.description.abstract | 生物辨識的認證方式，能將安全應用的等級進一步提高。隨著人們對生物特徵，做為認證的方式的接受度增加，生物辨識與其他技術的整合應用，也會漸漸普及。而物聯網與人工智慧將會是，下一階段的重點科技應用。但目前生物辨識、物聯網與人工智慧，三者結合為一個系統還未完整，因此，探討如何將此三種技術，作系統性的整合為此論文的重點。同時，會提出目前施行這些技術的挑戰與困難點。再以車聯網為例，進一步分析是否可以，針對現有的技術挑戰，做出解決方案。 | zh_TW |
| dc.description.abstract | Secure biometrics authentication is improving continuously. As more people accept biometrics as a certification method, the integration of biometrics and other technologies will become increasingly popular. The Internet of Things (IoT) and artificial intelligence (AI) will be the next stage of key technology applications. However, the combination of the current biometrics, IoT, and AI into one system has not yet been realized. This paper focuses on the systematic integration of these three technologies. This paper will also present the challenges and difficulties in the implementation of these technologies. The Internet of Vehicles is used as an example to further analyze existing technical challenges and create a solution. | en |
| dc.description.provenance | Made available in DSpace on 2021-07-10T22:15:57Z (GMT). No. of bitstreams: 1 ntu-106-P04546016-1.pdf: 1520912 bytes, checksum: 05d383178c7d7b40ddbc1eb5c6c74829 (MD5) Previous issue date: 2017 | en |
| dc.description.tableofcontents | Acknowledgments i
中文摘要 ii Abstract iii Contents iv List of Figures vii Chapter 1 Introduction 1 1.1 Background 1 1.2 Motivation 3 1.3 Objectives 4 1.4 Thesis Organization 5 Chapter 2 Related Work 6 2.1 Biometrics 6 2.1.1 Face Recognition 8 2.1.2 Voice Recognition 9 2.1.3 Iris Identification 10 2.1.4 Veins Identification 12 2.1.5 Signature Identification 14 2.2 Internet of Things 15 2.2.1 Sensing Layer 16 2.2.1.1 Embedded Technology 17 2.2.1.2 Wireless Sensor Networks 20 2.2.1.3 Radio frequency Identification 26 2.2.2 Network Layer 28 2.2.3 Application Layer 28 2.3 Artificial Intelligence 29 Chapter 3 Applications and Challenges of Related Technology 31 3.1 The Application of Biometrics and Internet of Things 32 3.1.1 Personal Identity Verification and Management 32 3.1.1.1 Chip Passport 33 3.1.1.2 Access Management 34 3.1.1.3 Safety Maintenance 34 3.1.1.4 Authorization Management 35 3.1.1.5 Personal Secrets 36 3.2 The Application of IoT and Al 36 3.2.1 The Internet of Things and the Application of Artificial Intelligent 37 3.2.1.1 Vehicle 37 3.2.1.2 Energy 38 3.2.1.3 Retail 40 3.2.1.4 Industry 41 3.2.1.5 Smart Home 42 3.3 The application of biometrics, IoT and AI 42 3.3.1 Intelligent Agent 43 3.3.2 Computer Vision 44 3.3.3 Robotic Application 44 3.3.4 Expert System 45 3.4 Possible Challenges 46 3.4.1 Challenges of Biometrics 46 3.4.1.1 Personal Privacy 46 3.4.1.2 Database Link 47 3.4.1.3 Identify Errors 47 3.4.2 The Challenge of IoT 48 3.4.2.1 Business Model 48 3.4.2.2 Security Issues 48 3.4.2.3 Networking Costs 49 3.4.2.4 Lifecycle 49 3.4.3 The Challenge of Developing AI 49 Chapter 4 The Example: Internet of Vehicles (IoV) 51 4.1 Biometrics in the Development of Internet of Vehicles 52 4.1.1 Biometric Technology in the Automotive Sector 52 4.2 The Application of IoV in AI 54 4.2.1 Self-driving Technology Development 54 4.2.2 Self-driving Information Platform 55 4.2.3 Integration of Artificial Intelligence and Self-driving 56 4.3 Solutions for Future Development and Potential Problems of IoV 57 4.3.1 Evolution of Intelligent Transportation System 58 4.3.2 Information Collection 58 4.3.3 Solutions of Technical Problems and Market Analysis 60 Chapter 5 Conclusion and Future Work 64 5.1 Conclusion 64 5.2 Future Work 67 Bibliography 69 | |
| dc.language.iso | en | |
| dc.subject | 人工智慧 | zh_TW |
| dc.subject | 物聯網 | zh_TW |
| dc.subject | 生物辨識 | zh_TW |
| dc.subject | Biometrics | en |
| dc.subject | Artificial Intelligent | en |
| dc.subject | Internet of Things | en |
| dc.title | 生物辨識在物聯網與人工智慧的發展與應用-以車聯網為例 | zh_TW |
| dc.title | The Development and Application of Internet of Things and Artificial Intelligence in Biometrics field: The example of Internet of Vehicles | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 105-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 楊朝龍,連勇智 | |
| dc.subject.keyword | 生物辨識,物聯網,人工智慧, | zh_TW |
| dc.subject.keyword | Biometrics,Internet of Things,Artificial Intelligent, | en |
| dc.relation.page | 73 | |
| dc.identifier.doi | 10.6342/NTU201703776 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2017-08-17 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 工業工程學研究所 | zh_TW |
| 顯示於系所單位： | 工業工程學研究所 | |
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