• DocumentCode
    3460504
  • Title

    A Data Transferring Model for Micro-scale Urban Air Quality Management System

  • Author

    Le Dinh Minh ; Lim, Sang Boem ; Woo, Jung-Hun ; Kim, HyungSeok

  • Author_Institution
    Dept. of Adv. Technol. Fusion, Konkuk Univ., Seoul, South Korea
  • fYear
    2009
  • fDate
    June 30 2009-July 2 2009
  • Firstpage
    306
  • Lastpage
    311
  • Abstract
    Today, the environmental observing systems are no longer strange to the people, and they are playing an important role in e-sciences, especially in researches about earthquake, climate, air pollution, etc. To be named as Airscope, this micro-scale air quality management system deals with unexpected pollution events in small scope, by using CFD-based air quality modeling, USN-based sensor monitoring model, DataTurbine middleware, multi-model interaction platforms and devices. Because of these complicated heterogeneity tools and devices, data transferring inside this project is very important and is a backbone for the whole system. In this paper, we will briefly introduce Airscope project and its elements, our indoor testbed and especially the data flows inside. We also describe about an extended actual system to apply in reality such as a small area in modern urban.
  • Keywords
    air pollution control; environmental science computing; middleware; sensors; Airscope; CFD-based air quality modeling; DataTurbine middleware; USN-based sensor monitoring model; data transferring model; micro-scale urban air quality management system; multi-model interaction platforms; Air pollution; Atmospheric modeling; Cities and towns; Economic forecasting; Monitoring; Quality management; Sensor systems; Testing; Traffic control; Wireless sensor networks; Dataturbine; air pollution; data transferring system; sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    New Trends in Information and Service Science, 2009. NISS '09. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3687-3
  • Type

    conf

  • DOI
    10.1109/NISS.2009.187
  • Filename
    5260709