Reliable, precise and accurate estimates of disease severity are important for predicting
yield loss, monitoring and forecasting epidemics, for assessing crop germplasm for disease …

Projected demands for future space missions, where on-board sensor processing and
autonomous control rapidly expand computational requirements, are outpacing …

This paper describes the implementation of a semi-analytical inversion model within a
parallel processing framework. The greater processing speed obtained with this parallel …

Complex equation-based simulations of both man-made and natural phenomena present a
wide spectrum of system architectures and algorithmic designs. Many of these require …

Hyperspectral imaging analysis demands large input data sets and in turn requires
significant CPU time and memory capacity. Grid Computing has the potential of improving …

Author’s Guide for 2009 Spring SIW Conference Page 1 Equation-Based Models in Discrete-Element
and Agent-Based Simulations Dr. Robert F. Lucas, Dan M. Davis, Gene Wagenbreth and Jin …

This paper outlines the design and implementation of Grid-HSI, a Service Oriented
Architecture-based Grid application to enable hyperspectral imaging analysis. Grid-HSI …

This research presents a sensitivity analysis of a semi-analytical inversion model for
hyperspectral remote sensing of shallow coral ecosystems. Using this inversion model, five …