English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 110387/141319 (78%)
Visitors : 46919635      Online Users : 489
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 商學院 > 資訊管理學系 > 學位論文 >  Item 140.119/112154
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/112154


    Title: 基於物聯網應用與服務之串流資料壓縮
    Content-sensitive Data Compression for IoT Streaming Services
    Authors: 許峻基
    Hsu, Chun-Chi
    Contributors: 郁方
    Yu, Fang
    許峻基
    Hsu, Chun-Chi
    Keywords: 物聯網
    串流
    資料壓縮
    影像處理
    IoT
    Streaming
    Data compression
    Image processing
    Date: 2017
    Issue Date: 2017-08-28 11:25:19 (UTC+8)
    Abstract: 隨著科技的進步,更快更可靠的網路使得物聯網成為可能。而伴隨著物聯網科技的發展而來的,是如何處理從終端裝置中,所收集的巨量資料。
    本文希望能藉由影像處理,利用分解與比對來自物聯網裝置的串流影片,找出在一定影片檔案壓縮比率之下,最佳的影片品質。除此之外,我們在實驗中還能夠藉由操作不同的比較參數,讓影片壓縮的演算法能夠在不同的情境下,藉由調整參數權重,找出最適合該情境的壓縮演算法配置,藉此達到減少儲存空間需求的目的。在實驗中,我們建立基本的物聯網串流應用,並且能夠在與原影片96.5%的差異度之下,達到40%的影格儲存空間精簡優化。
    The progression of cheaper, faster and more reliable Internet technology makes Internet of Things (IoT) realized in life. While tremendous data are collected from end devices, scalable and effective data compression techniques are needed to balance storage and precision.

    This paper presents an adjustable content-sensitive data
    compression approach for IOT streaming services and applications. Specifically, we apply frame similarity on various aspects such as illumination and structure to
    streaming frames, and are able to keep sufficient differences among steaming data while reducing significant amount of storage. We setup a general iot application platform in practice and show that with the presented approach, we are able to keep 96.5% precision with 40% frame reduction on the steaming data collected in real life.
    Reference: [1] L. Atzori, A. Iera, and G. Morabito, “The internet of things: A survey,” Computer networks, vol. 54, no. 15, pp. 2787–2805, 2010.

    [2] H. Sundmaeker, P. Guillemin, P. Friess, and S. Woelffl ́e, “Vision and challenges for realising the internet of things,” Cluster of European Research Projects on the Internet of Things, European Commision, 2010.

    [3] A. Prasad, K. Mamun, F. Islam, and H. Haqva, “Smart water quality monitoring system,” in Computer Science and Engineering (APWC on CSE), 2015 2nd Asia-
    Pacific World Congress on, pp. 1–6, IEEE, 2015.

    [4] M. Soliman, T. Abiodun, T. Hamouda, J. Zhou, and C.-H. Lung, “Smart home: Integrating internet of things with web services and cloud computing,” in Cloud Computing Technology and Science (CloudCom), 2013 IEEE 5th International Conference on, vol. 2, pp. 317–320, IEEE, 2013.

    [5] A. Zanella, N. Bui, A. Castellani, L. Vangelista, and M. Zorzi, “Internet of things
    for smart cities,” IEEE Internet of Things journal, vol. 1, no. 1, pp. 22–32, 2014.

    [6] J. Wei, “How wearables intersect with the cloud and the internet of things: Con-
    siderations for the developers of wearables.,” IEEE Consumer Electronics Magazine, vol. 3, no. 3, pp. 53–56, 2014.

    [7] D. Sreekantha and A. Kavya, “Agricultural crop monitoring using iot-a study,” in Intelligent Systems and Control (ISCO), 2017 11th International Conference on,
    pp. 134–139, IEEE, 2017.

    [8] J. Chin and A. Tisan, “An iot-based pervasive body hydration tracker (pht),” in In-
    dustrial Informatics (INDIN), 2015 IEEE 13th International Conference on, pp. 437–441, IEEE, 2015.33

    [9] M. Kovatsch, S. Mayer, and B. Ostermaier, “Moving application logic from the firmware to the cloud: Towards the thin server architecture for the internet of things,”
    in Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2012 Sixth International Conference on, pp. 751–756, IEEE, 2012.

    [10] Y.-K. Chen, “Challenges and opportunities of internet of things,” in Design Automa-
    tion Conference (ASP-DAC), 2012 17th Asia and South Pacific, pp. 383–388, IEEE,2012.

    [11] K. Das and P. Havinga, “Evaluation of dect for low latency real-time industrial control networks,” in Sensor, Mesh and Ad Hoc Communications and Networks
    (SECON), 2013 10th Annual IEEE Communications Society Conference on, pp. 10–17, IEEE, 2013.

    [12] A. Gogawale, F. Khatib, P. Sontakke, and S. Saigaonkar, “Database-as-a-service for iot,” in Computing for Sustainable Global Development (INDIACom), 2016 3rd International Conference on, pp. 1436–1438, IEEE, 2016.
    [13] H. Schwarz, D. Marpe, and T. Wiegand, “Overview of the scalable video coding extension of the h. 264/avc standard,” IEEE Transactions on circuits and systems
    for video technology, vol. 17, no. 9, pp. 1103–1120, 2007.

    [14] D. Le Gall, “Mpeg: A video compression standard for multimedia applications,” Communications of the ACM, vol. 34, no. 4, pp. 46–58, 1991.

    [15] K. Jeevan and S. Krishnakumar, “Compression of images represented in hexagonal lattice using wavelet and gabor filter,” in Contemporary Computing and Informatics
    (IC3I), 2014 International Conference on, pp. 609–613, IEEE, 2014.

    [16] Z. Wang, E. P. Simoncelli, and A. C. Bovik, “Multiscale structural similarity for image quality assessment,” in Signals, Systems and Computers, 2004. Conference Record of the Thirty-Seventh Asilomar Conference on, vol. 2, pp. 1398–1402, IEEE,2003.34

    [17] A. Hore and D. Ziou, “Image quality metrics: Psnr vs. ssim,” in Pattern Recognition(ICPR), 2010 20th International Conference on, pp. 2366–2369, IEEE, 2010.

    [18] G. Chen, Y. Shen, F. Yao, P. Liu, and Y. Liu, “Region-based moving object detection using ssim,” in Computer Science and Network Technology (ICCSNT), 2015 4th International Conference on, vol. 1, pp. 1361–1364, IEEE, 2015.

    [19] S. Wang, A. Rehman, Z. Wang, S. Ma, and W. Gao, “Ssim-motivated rate-distortion optimization for video coding,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 22, no. 4, pp. 516–529, 2012.

    [20] F. Raphel and S. Sameer, “Ssim based resource optimization for multiuser downlink ofdm video transmission systems,” in Region 10 Conference (TENCON), 2016 IEEE, pp. 1583–1586, IEEE, 2016.

    [21] “Raspberry pi.” https://www.raspberrypi.org/.

    [22] “Arduino.” https://www.arduino.cc/.

    [23] “Ros.” http://www.ros.org/.
    Description: 碩士
    國立政治大學
    資訊管理學系
    104356012
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0104356012
    Data Type: thesis
    Appears in Collections:[資訊管理學系] 學位論文

    Files in This Item:

    File SizeFormat
    601201.pdf11891KbAdobe PDF243View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback