博碩士論文 109552003 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:6 、訪客IP:3.236.146.28
姓名 吳佳鴻(Chia-Hung Wu)  查詢紙本館藏   畢業系所 資訊工程學系在職專班
論文名稱 FRADD:一個實現於AIoT閘道器的人臉辨識應用系統開發和佈署
(FRADD:A Face Recognition Application Development and Deployment on AIoT Gateway)
相關論文
★ 整合GRAFCET虛擬機器的智慧型控制器開發平台★ 分散式工業電子看板網路系統設計與實作
★ 設計與實作一個基於雙攝影機視覺系統的雙點觸控螢幕★ 智慧型機器人的嵌入式計算平台
★ 一個即時移動物偵測與追蹤的嵌入式系統★ 一個固態硬碟的多處理器架構與分散式控制演算法
★ 基於立體視覺手勢辨識的人機互動系統★ 整合仿生智慧行為控制的機器人系統晶片設計
★ 嵌入式無線影像感測網路的設計與實作★ 以雙核心處理器為基礎之車牌辨識系統
★ 基於立體視覺的連續三維手勢辨識★ 微型、超低功耗無線感測網路控制器設計與硬體實作
★ 串流影像之即時人臉偵測、追蹤與辨識─嵌入式系統設計★ 一個快速立體視覺系統的嵌入式硬體設計
★ 即時連續影像接合系統設計與實作★ 基於雙核心平台的嵌入式步態辨識系統
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   至系統瀏覽論文 (2027-7-13以後開放)
摘要(中) 隨著AIoT設備逐漸變多,設備管理與佈署也變多,顯得更不容易管理且複雜,本研究以輕量級微服務架構,以人臉辨識服務作為範例,其識別內容包含性別、年齡、情緒、身分等,應用於AIoT閘道器上並進行拓展佈署與更換模型應用服務,只需要透過一個管理端即可佈署應用與資源分配至所有節點,讓服務可以快速應用及提升服務效率。以往用微服務架構設定過於複雜且架構應用服務資源損耗較高,本研究以輕量級微服務架構作為服務框架,在於管理端記憶體減少約25%,節點端記憶體減少約36%,將記憶體資源可用於更多應用服務。本研究實驗成果可應用於各個IoT、AIoT管理服務及拓展應用服務。
摘要(英) With the gradual increase in the number of AIoT devices, device management and deployment also become more and more difficult to manage and complex, this study uses a lightweight microservice architecture with face recognition service as an example, in which the recognition content includes gender, age, emotion, identity, etc., applied to AIoT gateways and extended deployment and replacement of model application services, only through a single management terminal can deploy applications and resources Allocate to all nodes, so that services can be applied quickly and improve service efficiency. In this study, the lightweight microservice architecture is used as the service framework, which reduces the memory of the management side by 25% and the memory of the node side by 36%, making the memory resources available for more application services. The results of this study can be applied to various IoT and AIoT management services and extended application services.
關鍵字(中) ★ 物聯網
★ 智慧物聯網
★ 微服務架構
★ 容器化
關鍵字(英) ★ IoT
★ AIoT
★ Kubernetes
★ Container
論文目次 摘要 I
Abstract II
致謝 III
目錄 IV
圖目錄 VII
表目錄 X
第一章、 緒論 1
1.1 研究背景 1
1.2 研究目的 3
1.3 論文架構 3
第二章、 文獻回顧 4
2.1 IoT架構 4
2.1.1 雲計算(Cloud Computing) 5
2.1.2 霧計算(Fog Computing) 6
2.2 AIoT架構 7
2.2.1 邊緣計算(Edge Computing) 8
2.2.2 邊緣運算AIoT閘道器 9
2.3 人臉辨識 10
2.4 人臉辨識應用於AIoT 11
第三章、 系統架構 12
3.1 MIAT方法論 12
3.1.1 IDEF0模組設計 13
3.1.2 GRAFCEF離散事件建模 14
3.2 資源管理與容器化技術 15
3.3 輕量級微服務架構與系統 17
3.4 人臉辨識AIoT閘道器應用平台系統架構 18
3.4.1 影片傳輸模組 20
3.4.2 AIoT閘道器應用平台模組 21
3.4.2.1 AIoT閘道器Master模組子系統 23
3.4.2.2 人臉辨識應用模組子系統 25
3.5 系統程式合成 27
第四章、 實驗 32
4.1 實驗平台 32
4.1.1 軟硬體實驗環境 32
4.1.2 實驗資料集 35
4.2 人臉辨識實驗 37
4.2.1 性別與年齡測試實驗 38
4.2.2 情緒測試實驗 42
4.2.3 身分識別實驗 44
4.3 模型更換實驗 48
4.4 輕量級微服務架構資源測試 49
第五章、 結論與未來展望 51
5.1 結論 51
5.2 未來展望 52
參考文獻 53
參考文獻 [1] J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, "Internet of Things (IoT): A vision, architectural elements, and future directions," Future Generation Computer Systems, vol. 29, no. 7, pp. 1645-1660, 2013/09/01/ 2013.
[2] S. Guoqiang, C. Yanming, Z. Chao, and Z. Yanxu, "Design and Implementation of a Smart IoT Gateway," in 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, 20-23 Aug. 2013 2013, pp. 720-723.
[3] H. T. Pham, M. A. Nguyen, and C. C. Sun, "AIoT Solution Survey and Comparison in Machine Learning on Low-cost Microcontroller," in 2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 3-6 Dec. 2019 2019, pp. 1-2.
[4] W. Zhao, R. Chellappa, P. J. Phillips, and A. Rosenfeld, "Face recognition: A literature survey," ACM computing surveys (CSUR), vol. 35, no. 4, pp. 399-458, 2003.
[5] J. Zhang and D. Tao, "Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things," IEEE Internet of Things Journal, vol. 8, no. 10, pp. 7789-7817, 2021.
[6] L. Xing, "Reliability in Internet of Things: Current Status and Future Perspectives," IEEE Internet of Things Journal, vol. 7, no. 8, pp. 6704-6721, 2020.
[7] J. Xiong and H. Chen, "Challenges for Building a Cloud Native Scalable and Trustable Multi-tenant AIoT Platform," in 2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2-5 Nov. 2020 2020, pp. 1-8.
[8] J. Ren, H. Guo, C. Xu, and Y. Zhang, "Serving at the Edge: A Scalable IoT Architecture Based on Transparent Computing," IEEE Network, vol. 31, no. 5, pp. 96-105, 2017.
[9] C. Dupont, R. Giaffreda, and L. Capra, "Edge computing in IoT context: Horizontal and vertical Linux container migration," in 2017 Global Internet of Things Summit (GIoTS), 6-9 June 2017 2017, pp. 1-4.
[10] K. Shafique, B. A. Khawaja, F. Sabir, S. Qazi, and M. Mustaqim, "Internet of Things (IoT) for Next-Generation Smart Systems: A Review of Current Challenges, Future Trends and Prospects for Emerging 5G-IoT Scenarios," IEEE Access, vol. 8, pp. 23022-23040, 2020.
[11] L. Li, X. Mu, S. Li, and H. Peng, "A Review of Face Recognition Technology," IEEE Access, vol. 8, pp. 139110-139120, 2020.
[12] N. T. Karim, S. Jain, J. Moonrinta, M. N. Dailey, and M. Ekpanyapong, "Customer and target individual face analysis for retail analytics," in 2018 International Workshop on Advanced Image Technology (IWAIT), 7-9 Jan. 2018 2018, pp. 1-4.
[13] R. S. Deshmukh and V. Jagtap, "A survey: Software API and database for emotion recognition," in 2017 International Conference on Intelligent Computing and Control Systems (ICICCS), 15-16 June 2017 2017, pp. 284-289.
[14] A. Generosi, S. Ceccacci, and M. Mengoni, "A deep learning-based system to track and analyze customer behavior in retail store," in 2018 IEEE 8th International Conference on Consumer Electronics - Berlin (ICCE-Berlin), 2-5 Sept. 2018 2018, pp. 1-6.
[15] P. Kaur, K. Krishan, S. K. Sharma, and T. Kanchan, "Facial-recognition algorithms: A literature review," Medicine, Science and the Law, vol. 60, no. 2, pp. 131-139, 2020.
[16] C.-H. Chen, C.-Y. Chen, C.-H. Hsia, and G.-X. Wu, "Efficient vision-based smart meter reading network," International Journal of Web Services Research (IJWSR), vol. 14, no. 1, pp. 44-58, 2017.
[17] A. Čolaković and M. Hadžialić, "Internet of Things (IoT): A review of enabling technologies, challenges, and open research issues," Computer Networks, vol. 144, pp. 17-39, 2018/10/24/ 2018.
[18] M. Aazam, I. Khan, A. A. Alsaffar, and E. N. Huh, "Cloud of Things: Integrating Internet of Things and cloud computing and the issues involved," in Proceedings of 2014 11th International Bhurban Conference on Applied Sciences & Technology (IBCAST) Islamabad, Pakistan, 14th - 18th January, 2014, 14-18 Jan. 2014 2014, pp. 414-419.
[19] C.-H. Chen, M.-C. Wu, and C.-C. Wang, "Cloud-based Dialog Navigation Agent System for Service Robots," Sensors and Materials, vol. 31, no. 6, pp. 1871-1891, 2019.
[20] B. Omoniwa, R. Hussain, M. A. Javed, S. H. Bouk, and S. A. Malik, "Fog/Edge Computing-Based IoT (FECIoT): Architecture, Applications, and Research Issues," IEEE Internet of Things Journal, vol. 6, no. 3, pp. 4118-4149, 2019.
[21] P. Hu, S. Dhelim, H. Ning, and T. Qiu, "Survey on fog computing: architecture, key technologies, applications and open issues," Journal of Network and Computer Applications, vol. 98, pp. 27-42, 2017/11/15/ 2017.
[22] C. Mouradian, D. Naboulsi, S. Yangui, R. H. Glitho, M. J. Morrow, and P. A. Polakos, "A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges," IEEE Communications Surveys & Tutorials, vol. 20, no. 1, pp. 416-464, 2018.
[23] Y. H. Lai, T. C. Wu, C. F. Lai, L. T. Yang, and X. Zhou, "Cognitive Optimal-Setting Control of AIoT Industrial Applications With Deep Reinforcement Learning," IEEE Transactions on Industrial Informatics, vol. 17, no. 3, pp. 2116-2123, 2021.
[24] A. Yousefpour et al., "All one needs to know about fog computing and related edge computing paradigms: A complete survey," Journal of Systems Architecture, vol. 98, pp. 289-330, 2019/09/01/ 2019.
[25] C. H. Chen, M. Y. Lin, and C. C. Liu, "Edge Computing Gateway of the Industrial Internet of Things Using Multiple Collaborative Microcontrollers," IEEE Network, vol. 32, no. 1, pp. 24-32, 2018.
[26] C.-H. Chen, M.-Y. Lin, and X.-C. Guo, "High-performance fieldbus application-specific integrated circuit design for industrial smart sensor networks," The Journal of Supercomputing, vol. 74, no. 9, pp. 4451-4469, 2018/09/01 2018.
[27] C.-H. Chen, M.-Y. Lin, and X.-C. Guo, "High-level modeling and synthesis of smart sensor networks for Industrial Internet of Things," Computers & Electrical Engineering, vol. 61, pp. 48-66, 2017.
[28] C.-H. Chen, M.-Y. Lin, and W.-H. Lin, "Designing and implementing a lightweight WSN MAC protocol for smart home networking applications," Journal of Circuits, Systems and Computers, vol. 26, no. 03, p. 1750043, 2017.
[29] E. Jiang, "A Review of the Comparative Studies on Traditional and Intelligent Face Recognition Methods," in 2020 International Conference on Computer Vision, Image and Deep Learning (CVIDL), 10-12 July 2020 2020, pp. 11-15.
[30] S. Pawar, V. Kithani, S. Ahuja, and S. Sahu, "Smart Home Security Using IoT and Face Recognition," in 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA), 16-18 Aug. 2018 2018, pp. 1-6.
[31] H. Sharma, P. Bora, and P. Soni, "Analysis of different models for Face Recognition Door Lock," in 2021 5th International Conference on Information Systems and Computer Networks (ISCON), 22-23 Oct. 2021 2021, pp. 1-5.
[32] J. An et al., "EiF: Toward an Elastic IoT Fog Framework for AI Services," IEEE Communications Magazine, vol. 57, no. 5, pp. 28-33, 2019.
[33] C.-H. Chen and M.-C. Wu, "CellS: A Cell-Inspired Efficient Software Framework for AI-Enabled Application on Resources-Constrained Mobile System," Electronics, vol. 10, no. 5, 2021.
[34] Y.-C. Wu, C.-H. Chen, Y.-T. Chiu, and P.-W. Chen, "Cooperative People Tracking by Distributed Cameras Network," Electronics, vol. 10, no. 15, 2021.
[35] C.-H. Chen and C.-T. Liu, "A 3.5-Tier Container-based Edge Computing Architecture," Computers & Electrical Engineering, vol. 93, p. 107227, 2021/07/01/ 2021.
[36] C.-H. Chen and C.-T. Liu, "Person Re-Identification Microservice over Artificial Intelligence Internet of Things Edge Computing Gateway," Electronics, vol. 10, no. 18, 2021.
指導教授 陳慶瀚 審核日期 2022-7-25
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明