This tutorial gives an introduction to parallel and distributed simulation systems. Issues
concerning the execution of discrete-event simulations on parallel and distributed computers …

A wildfire model is formulated based on balance equations for energy and fuel, where the
fuel loss due to combustion corresponds to the fuel reaction rate. The resulting coupled …

Abstract The Dynamic Data Driven Application Systems (DDDAS) concept entails the ability
to incorporate dynamically data into an executing application simulation, and in reverse, the …

This paper extends FARSITE (a software used for wildfire modeling and simulation) to
incorporate data assimilation techniques based on noisy and limited spatial resolution …

Computational model, measurement infrastructure, and information technology are currently
used to analyze and predict the characteristics and behaviors of complex systems. Most of …

Remotely sensed infrared images are often used to assess wildland fire conditions.
Separately, fire propagation models are in use to forecast future conditions. In the Dynamic …

As bias and uncertainties inevitably exist on both wildland fire model states and parameters,
fire simulations do not always accurately forecast the temporal and spatial progression of …

Abstract Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs) have
been used in research and development community due to their strong potential in high-risk …

We present a framework of Information Fusion (IF) using the Dynamic Data Driven
Applications Systems (DDDAS) concept. Existing literature at the intersection of these two …

This paper shows the extension of the wildfire simulation tool FARSITE to allow for data
assimilation capabilities on both fire perimeters and fuel adjustment factors to improve the …