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Author:

Kuang, Yun (Kuang, Yun.) | Kong, Dehui (Kong, Dehui.) (Scholars:孔德慧) | Zhang, Yong (Zhang, Yong.) (Scholars:张勇) | Sun, Yanfeng (Sun, Yanfeng.) (Scholars:孙艳丰)

Indexed by:

CPCI-S

Abstract:

For use of fire prevention and suppression, fire simulations are in demand for virtual reality effects, helping researchers study the dynamics of fire and smoke. In this paper, by extension of particle system hierarchies, we establish a multi-level particle system model (MLPSM) which not only could be top-down controlled to enhance the dynamic simulation, but can be managed in high efficiency to increase rendering speed. Applying this new model, we further formulate a simplified model of fire spread and present a visual system for animating fire and smoke, using OpenGL, based on application requirements. The results show a well balance between rendering effects and real-time display with 10,000 particles, which proves the effectiveness of our multi-level particle system model.

Keyword:

Author Community:

  • [ 1 ] [Kuang, Yun]Beijing Univ Technol, Beijing Key Lab Multimedia & Intelligent Software, Coll Comp Sci, Beijing 100124, Peoples R China
  • [ 2 ] [Kong, Dehui]Beijing Univ Technol, Beijing Key Lab Multimedia & Intelligent Software, Coll Comp Sci, Beijing 100124, Peoples R China
  • [ 3 ] [Zhang, Yong]Beijing Univ Technol, Beijing Key Lab Multimedia & Intelligent Software, Coll Comp Sci, Beijing 100124, Peoples R China
  • [ 4 ] [Sun, Yanfeng]Beijing Univ Technol, Beijing Key Lab Multimedia & Intelligent Software, Coll Comp Sci, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Kuang, Yun]Beijing Univ Technol, Beijing Key Lab Multimedia & Intelligent Software, Coll Comp Sci, 100 Pingleyuan, Beijing 100124, Peoples R China

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Source :

PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON SOFTWARE TECHNOLOGY AND ENGINEERING

Year: 2009

Page: 57-64

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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