DocumentCode
2486924
Title
Particle swarm optimiation based sky luminance model recognition algorithm
Author
Xiao, Hui ; Zhang, Yi ; Yan, Yong ; Wang, Jinguang
Author_Institution
Dept. of Control Sci. & Eng., Tongji Univ., Shanghai
fYear
2008
fDate
25-27 June 2008
Firstpage
3742
Lastpage
3747
Abstract
Sky luminance model recognition algorithm is proposed, using particle swarm optimization. Based on spatial distribution of daylight CIE standard general sky, intelligent particle swarm optimization algorithm is applied to compute and recognize arbitrary sky. Hence the type of current sky can be identified quickly. The algorithm lays a theory foundation for the daylight utility adequately to realize green lights.
Keywords
atmospheric techniques; daylighting; geophysics computing; particle swarm optimisation; sky brightness; daylight CIE standard; intelligent particle swarm optimization; sky luminance model recognition; spatial distribution; Automation; Distributed computing; Energy conservation; Intelligent control; Particle swarm optimization; Architectural energy conservation; CIE standard general sky; Green lights; Particle swarm optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-2113-8
Electronic_ISBN
978-1-4244-2114-5
Type
conf
DOI
10.1109/WCICA.2008.4593525
Filename
4593525
Link To Document