• DocumentCode
    131746
  • Title

    The Research and Application of PCA Algorithm Based Recognition Technology in the Internet of Things

  • Author

    Guo Xie-Chao

  • Author_Institution
    Coll. of Math. & Comput. Sci., Yan´an Univ., Yan´an, China
  • fYear
    2014
  • fDate
    10-11 Jan. 2014
  • Firstpage
    737
  • Lastpage
    740
  • Abstract
    With the quick development of technology, the Internet of things is becoming one of the most important components in our society. The Internet of things can make everything connected with Internet, and it is convenient to recognize and manage. In the process of recognizing the things in the Internet of things, it will appear irrelative and vague data, and we could not analyze and identify effectively. Focusing on the work of analyzing data, we propose PCA algorithm based technology in this paper, and apply it into works in the Internet of things. Through the theory and experimental results, we can prove that the technology we propose can select main information from prolix data, and complete the recognition works.
  • Keywords
    Internet of Things; data analysis; pattern recognition; principal component analysis; Internet of Things; PCA algorithm based recognition technology; data analysis; data recognition; principal component analysis; prolix data; Automation; Mechatronics; PCA; The Internet of things; pattern recognition; recognition technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2014 Sixth International Conference on
  • Conference_Location
    Zhangjiajie
  • Print_ISBN
    978-1-4799-3434-8
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2014.181
  • Filename
    6802799