Knowledge gathering and investigative tasks in open environments can be very complex because the problemsolving context is constantly evolving, and the data may be incomplete, unr...
Complex event detection is an advanced form of data stream processing where the stream(s) are scrutinized to identify given event patterns. The challenge for many complex event pr...
We describe a physically-based Monte Carlo technique for approximating bidirectional reflectance distribution functions (BRDFs) for a large class of geometries by directly simulat...
Stephen H. Westin, James Arvo, Kenneth E. Torrance
Abstract. This paper presents a method to compute metrics that predict maintainability of a system with respect to its event processing. The metrics reflect the complexity of event...
Analytical models for the dynamics of some discrete event systems are introduced where the system trajectories are solutions to linear and mixed-integer programs. 1 BACKGROUND The...