Dynamic Effect Simulation of Snow Falling Based on Particle System

2014 ◽  
Vol 651-653 ◽  
pp. 1840-1843
Author(s):  
Ying Ying Yin

To simulate snow falling scene dynamically, a method based on particle system is presented to simulate snow falling effects, it use calculated model to simulate the real effects of snow falling in the basis of snow natural characteristics. The simulation results have proven that the proposed method is more effective for simulating snow falling with realistic effects.

Author(s):  
Kanagasabai Lenin

This paper proposes Enhanced Frog Leaping Algorithm (EFLA) to solve the optimal reactive power problem. Frog leaping algorithm (FLA) replicates the procedure of frogs passing though the wetland and foraging deeds. Set of virtual frogs alienated into numerous groups known as “memeplexes”. Frog’s position’s turn out to be closer in every memeplex after few optimization runs and certainly, this crisis direct to premature convergence. In the proposed Enhanced Frog Leaping Algorithm (EFLA) the most excellent frog information is used to augment the local search in each memeplex and initiate to the exploration bound acceleration. To advance the speed of convergence two acceleration factors are introduced in the exploration plan formulation. Proposed Enhanced Frog Leaping Algorithm (EFLA) has been tested in standard IEEE 14,300 bus test system and simulation results show the projected algorithm reduced the real power loss considerably.


Author(s):  
JJrgen Ernstberger ◽  
Benedikt Link ◽  
Michael Stich ◽  
Oliver Vogler
Keyword(s):  
The Real ◽  

Author(s):  
Yiwei Dou ◽  
Stephen G. Ryan ◽  
Biqin Xie
Keyword(s):  
The Real ◽  

2019 ◽  
Author(s):  
Ariela Caglio ◽  
Sébastien Laffitte ◽  
Donato Masciandaro ◽  
Gianmarco I.P. Ottaviano

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