• DocumentCode
    497616
  • Title

    Organization based system for oceanographic monitoring

  • Author

    Mata, Aitor ; Pérez, Belén ; Corchado, Emilio ; Bajo, Javier

  • Author_Institution
    Dept. of Comput. Sci. & Automatics, Univ. of Salamanca, Salamanca, Spain
  • fYear
    2009
  • fDate
    6-9 July 2009
  • Firstpage
    968
  • Lastpage
    975
  • Abstract
    A new organization based system for oceanographic monitoring (OBSOM) is presented in this paper. The OBSOM core system is based on the case-based reasoning methodology, and it is able to generate a prediction about ocean conditions in certain areas of the ocean. CBR uses historical data to create new solutions to current problems. The system employs a distributed multi-agent architecture so that the main components of the system can be accessed remotely. All the elements building the final system, can communicate in a distributed way, from different type of interfaces and devices. OBSOM has been applied to generate predictions in real oil spill situations. Results have demonstrated that the system can accurately predict the presence of oil slicks in certain areas zones. It has been demonstrated that using a distributed architecture can enhance the overall performance of the system.
  • Keywords
    case-based reasoning; computerised monitoring; geophysics computing; multi-agent systems; oceanographic techniques; software architecture; OBSOM core system; case-based reasoning methodology; distributed multiagent architecture; oceanographic monitoring; organization based system; services oriented architectures; Buildings; Civil engineering; Computer science; Computerized monitoring; Oceans; Petroleum; Predictive models; Satellites; Service oriented architecture; Synthetic aperture radar; Ocean monitoring; Organization Based Systems; Services Oriented Architectures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion, 2009. FUSION '09. 12th International Conference on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-0-9824-4380-4
  • Type

    conf

  • Filename
    5203709