• DocumentCode
    3347948
  • Title

    Notice of Retraction
    Research on anti-forest-fire ecological management system with cloud-computing

  • Author

    Jian Tang ; Tao Gong ; Jiajia Zhou

  • Author_Institution
    Inf. Center, Yiyang Radio & Telev. Univ., Yiyang, China
  • Volume
    4
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    2241
  • Lastpage
    2245
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    Based on cloud-computing and ecological database, an anti-forest-fire ecological management system was designed to detect control and eliminate the forest fire. The cloud computing platform was used to collect manage and analyze the ecological data about the forest fire etc., by monitoring the forest fire in ecology and managing the information center. The cloud-computing platform against the forest fire was built with the cloud-computing simulation toolkit CloudSim, which is a framework for modeling and simulating cloud computation in infrastructures and services. The anti-forest-fire ecological management system was a kind of parallel decision support system for dealing with the forest fire in ecology, and it provided accurate timely and comprehensive information. Besides, the system can help the forestry department to make pre-arranged plans to satisfy the actual needs of security management, improve the intelligence and automation for managing the forest fire ecologically, and increase efficiency. The new technique can be used to improve the ecosystem of forest fire management and maximize the stability and security of the forest ecosystem.
  • Keywords
    cloud computing; decision support systems; ecology; forestry; CloudSim simulation toolkit; anti-forest fire ecological management system; cloud computing; ecological database; forest ecosystem; forest fire control; forest fire elimination; forest fire management; forestry department; parallel decision support system; Cloud computing; Computational modeling; Databases; Ecosystems; Fires; Monitoring; anti-forest-fire ecology management system; cloud computing; decision support system; forest ecosystem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2011 Seventh International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2157-9555
  • Print_ISBN
    978-1-4244-9950-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2011.6022396
  • Filename
    6022396