• DocumentCode
    650472
  • Title

    Visualization of Multidimensional Sensor Data in Industrial Engineering

  • Author

    Kimani, Stephen ; Leva, Mariano ; Mecella, Massimo ; Catarci, Tiziana

  • Author_Institution
    Jomo Kenyatta Univ. (JKUAT), Kenya
  • fYear
    2013
  • fDate
    16-18 July 2013
  • Firstpage
    156
  • Lastpage
    161
  • Abstract
    Sensors have become increasingly deployed in many areas, and especially in industrial engineering settings. Sensor data is however temporal, massive, and multidimensional in nature. Such characteristics make it difficult to render sensor data for visual analysis. Although there exist potential visualizations for sensor data, there is very little specific guidance in literature on the visualization of sensor data in order to support industrial engineers in decision making. Existing visualizations are not always readily applicable to the domain of industrial engineering. This paper sheds more light on the area and proposes a visualization environment for supporting industrial engineers in their tasks.
  • Keywords
    data visualisation; decision making; industrial engineering; rendering (computer graphics); decision making; industrial engineering domain; multidimensional sensor data visualization; sensor data rendering; visual analysis; Information visualization; industrial engineering; sensor data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Visualisation (IV), 2013 17th International Conference
  • Conference_Location
    London
  • ISSN
    1550-6037
  • Type

    conf

  • DOI
    10.1109/IV.2013.19
  • Filename
    6676556