• DocumentCode
    605972
  • Title

    Sensor-based Emissions Monitoring System

  • Author

    In Chae Jeong ; Guohua Li ; Sang Boem Lim

  • Author_Institution
    Dept. of Adv. Technol. Fusion, Konkuk Univ., Seoul, South Korea
  • fYear
    2012
  • fDate
    23-25 Oct. 2012
  • Firstpage
    336
  • Lastpage
    339
  • Abstract
    Air pollution threatens our health with respiratory diseases, such as bronchitis and asthma; therefore, many people are concerned about air quality. Air pollution is also blamed for global warming; therefore, many researchers and organizations are interested in studying the link between global warming and air pollution. Every day, we commute using buses, automobiles, subways, and other forms of transportation. These vehicles are a significant cause of air pollution. Therefore, we need to be able to determine the emission rates in certain areas. In this paper, we discuss the Distributed Emission Monitoring System and Emission Data Management System. We automatically detect the volume, type, and speed of a vehicle using a camera equipped with this system. We estimate and analyze emission rates based on the information, and the results will be provided via the portal website. Because many sensors are used in the studies about global warming and air pollution, we will explain the dynamic extension of sensors and the Metadata Management System that controls data for reuse in various applications.
  • Keywords
    Web sites; air pollution; computerised monitoring; environmental science computing; global warming; meta data; portals; sensors; air pollution; air quality; asthma; automobiles; bronchitis; buses; distributed emission monitoring system; emission data management system; global warming; metadata management system; portal Website; respiratory diseases; sensor-based emissions monitoring system; subways; Air Quality; Distributed System; Emissions Monitoring System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Service Science and Data Mining (ISSDM), 2012 6th International Conference on New Trends in
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4673-0876-2
  • Type

    conf

  • Filename
    6528652