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.
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
Link To Document