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Author Wang, Chaoli ♦ Yu, Hongfeng ♦ Ma, Kwan-Liu
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Turbulent Combustion Simulation ♦ Knowledge-assisted Visualization ♦ Domain Knowledge ♦ Knowledge-assisted Approach ♦ Complex Variable Relationship ♦ Turbulent Combustion Simulation Data ♦ Hidden One ♦ Multiple Variable ♦ Dynamic Mechanism ♦ Turbulent Flame
Abstract In this paper, we present a knowledge-assisted approach for studying turbulent combustion simulation data. To understand the dynamic mechanisms of extinction and reignition in turbulent flames, scientists need to validate known relationships and reveal hidden ones among multiple variables. Based on the domain knowledge and questions posted by the scientists, we have designed an algorithm that helps scientists examine complex variable relationships in turbulent combustion simulations. 1
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study