The Community for Technology Leaders
RSS Icon
Issue No.05 - Sept.-Oct. (2013 vol.28)
pp: 2-9
Jing Fan , Zhejiang University of Technology, China
Tianyang Dong , Zhejiang University of Technology, China
Xinxin Guan , Zhejiang University of Technology, China
Ying Tang , Zhejiang University of Technology, China
Balancing different forest management goals related to economic, ecological, and social sustainability, a rapid simulation system uses CPU+GPU heterogeneous patterns to accelerate the computation of dynamic processes, supporting quick and intelligent decision making.
decision making, intelligent planning, forest management, rapid simulation,
Jing Fan, Tianyang Dong, Xinxin Guan, Ying Tang, "A Rapid Simulation System for Decision Making in Intelligent Forest Management", IEEE Intelligent Systems, vol.28, no. 5, pp. 2-9, Sept.-Oct. 2013, doi:10.1109/MIS.2014.1
1. K. Eyvindsona et al., “Selecting a Forest Plan among Alternatives: Consistency of Preferences within Decision Support Frameworks,” Forest Policy and Economics, vol. 15, 2012, pp. 114-122.
2. E.-M. Nordström,L. Eriksson,, and K. Öhman,“Integrating Multiple Criteria Decision Analysis in Participatory Forest Planning: Experience from a Case Study in Northern Sweden,” Forest Policy and Economics, vol. 12, no. 8, 2010, pp. 562-574.
3. S.W. Pacala,C.D. Canham,, and J.A. Silander,“Forest Models Defined by Field Measurements: I. The Design of a Northeastern Forest Simulator,” Canadian J. Forest Research, vol. 23, no. 10, 1993, pp. 1980-1988.
4. H. Bugmann,“A Review of Forest Gap Models,” Climate Change, vol. 51, nos. 3-4, 2001, pp. 259-305.
5. S. Govindarajan et al., “A Scalable Algorithm for Dispersing Population,” J. Intelligent Information Systems, vol. 29, no. 1, 2007, pp. 39-61.
6. S. Govindarajan et al., “A Scalable Simulator for Forest Dynamics,” Proc. 20th ACM Symp. Computational Geometry, ACM, 2004, pp. 106-115.
7. S.V. Jeffrey et al., “Keeneland: Bringing Heterogeneous GPU Computing to the Computational Science Community,” Computing in Science & Eng., vol. 13, no. 5, 2011, pp. 90-95.
8. K. Wang and Z. Shen,“Artificial Societies and GPU-Based Cloud Computing for Intelligent Transportation Management,” IEEE Intelligent Systems, vol. 26, no. 4, 2011, pp. 22-28.
9. G.F. Shao et al., “Integrating Stand and Landscape Decisions for Multi-Purposes of Forest Harvesting,” Forest Ecology and Management, vol. 207, nos. 1-2, 2005, pp. 233-243.
41 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool