GPU Based Rendering of Natural Atmospheric Phenomena

2011 ◽  
Vol 121-126 ◽  
pp. 857-861
Author(s):  
Zheng Gong ◽  
Luis Diago ◽  
Ichiro Hagiwara

This paper explains and demonstrates a novel method of photorealistic simulation of two natural atmospheric phenomena, namely Emei Glory and Fog. Emei Glory is a natural phenomenon and can be observed in the area of famous Emei Mountain in China. The back-scattering effect of water droplet in fog causes this phenomenon. We use Mie scattering theory to simulate the glory and fog. Then calculate the spectral scatter intensity. For rendering, we adopt the method of single scattering integral to generate the whole scene by exploiting the parallel computation power of GPU. We demonstrate our synthetic results compared with the photographs at last.

Crystals ◽  
2018 ◽  
Vol 8 (12) ◽  
pp. 442 ◽  
Author(s):  
Chih-Hao Lin ◽  
Che-Hsuan Huang ◽  
Yung-Min Pai ◽  
Chung-Fu Lee ◽  
Chien-Chung Lin ◽  
...  

This study presents a novel method for estimating the phosphor conversion efficiency of white light-emitting diodes (WLEDs) with different ratios of phosphors. Numerous attempts have been made for predicting the phosphor conversion efficiency of WLEDs using Monte Carlo ray tracing and the Mie scattering theory. However, because efficiency depends on the phosphor concentration, obtaining a tight match between this model and the experimental results remains a major challenge. An accurate prediction depends on various parameters, including particle size, morphology, and packaging process criteria. Therefore, we developed an efficient model that can successfully correlate the total absorption ratio to the phosphor concentration using a simple equation for estimating the spectra and lumen output. The novel and efficient method proposed here can accelerate WLED development by reducing costs and saving fabrication time.


2007 ◽  
Vol 48 (1) ◽  
pp. 303 ◽  
Author(s):  
M. Joseph Costello ◽  
So¨nke Johnsen ◽  
Kurt O. Gilliland ◽  
Christopher D. Freel ◽  
W. Craig Fowler

2013 ◽  
Vol 401-403 ◽  
pp. 437-440 ◽  
Author(s):  
Ni Chen Yang ◽  
Hong Xia Wang ◽  
You Zhang Zhu

Based on the Mie scattering theory and the gamma size distribution model, 10.6μm laser scattering characteristics in dust particles are calculated and analyzed.On this basis,the time broadening and space broadening characteristics of the laser are analyzed by using Monte Carlo method.Transmittance change with the transmission distance are quantitative calculated and the time detention and space broadening characteristics of the laser passed through dust for different transmission distances are calculated and analyzed. The results show that the transmittance decreases with increasing transmission distance, and the transmittance is close to 0 when transmission distance is close to 200m; The time delay of 10.6μm laser is more significant with the increaseing transmission distance; The space broadening of 10.6μm laser is more obvious and the energy is more dispersed with the increaseing transmission distance.


2004 ◽  
Vol 126 (5) ◽  
pp. 793-804 ◽  
Author(s):  
Ravi S. Prasher

Scattering theory for the scattering of phonons by particulate scatterers is developed in this paper. Recently the author introduced the generalized equation of phonon radiative transport (GEPRT) in particulate media, which included a phase function to account for the anisotropic scattering of phonons by particulate scatterer. Solution of the GEPRT showed that scattering cross section is different from the thermal transport cross-section. In this paper formulations for the scattering and transport cross section for horizontally shear (SH) wave phonon or transverse wave phonon without mode conversion is developed. The development of the theory of scattering and the transport cross section is exactly analogous to the Mie scattering theory for photon transport in particulate media. Results show that transport cross section is very different from the scattering cross section. The theory of phonon scattering developed in this paper will be useful for the predictive modeling of thermal conductivity of practical systems, such as nanocomposites, nano-micro-particle-laden systems, etc.


Sign in / Sign up

Export Citation Format

Share Document