• DocumentCode
    3316026
  • Title

    Applying Case Based Based Reasoning to Sensor Fusion

  • Author

    Policastro, Claudio A. ; Carvalho, Andre C P L F

  • Author_Institution
    Univ. of Sao Paulo, Sao Paulo
  • fYear
    2007
  • fDate
    3-6 Dec. 2007
  • Firstpage
    419
  • Lastpage
    424
  • Abstract
    One of the possible causes for global warming is the human intervention in the environment. The increasing amount of industrial and residential contaminants in lakes and rivers is seriously harming the quality of the water resources. In many countries, most of the sewage is directly sent to rivers or lakes, without any treatment. The impact on the environment of toxic waste, from a wide variety of manufacturing processes, is well known. More recently, however, it has become clear that the more subtle effects of nutrient level and chemical balance changes arising from farming land run-off and sewage water treatment also have a serious, but indirect, effect on the states of rivers, lakes and even the sea. This paper investigates the use of a hybrid Case Based Reasoning system for monitoring water quality based on chemical and physical parameters and algae population.
  • Keywords
    case-based reasoning; sensor fusion; algae population; case based reasoning; chemical parameters; physical parameters; sensor fusion; water quality monitoring; Chemicals; Global warming; Humans; Lakes; Manufacturing industries; Rivers; Sensor fusion; Sludge treatment; Wastewater treatment; Water resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Sensors, Sensor Networks and Information, 2007. ISSNIP 2007. 3rd International Conference on
  • Conference_Location
    Melbourne, Qld.
  • Print_ISBN
    978-1-4244-1501-4
  • Electronic_ISBN
    978-1-4244-1502-1
  • Type

    conf

  • DOI
    10.1109/ISSNIP.2007.4496880
  • Filename
    4496880