Traditional mesh-based approaches to the modeling and analysis of physical fields within geometric models require some form of topological reconstruction and conversion in the mesh generation process. Such manipulations tend to be tedious and error-prone manual processes that are not easily automated. We show that most field problems may be solved directly by using approximate distance fields c...

Sampling techniques are often used for traffic monitoring in high-speed links in order to avoid saturation of network resources. Although there is a wide existing research dealing with anomaly detection, few studies analyzed the impact of sampling on the performance of portscan detection algorithms. In this paper, we performed several experiments on two already existing portscan detection mecha...

In this paper the sampled signal reconstruction problem is formulated and solved as the sampled-data H smoothing problem, in which an analog reconstruction error is minimized. Both infinite (non-causal reconstructors) and finite (reconstructors with relaxed causality) preview cases are considered. The optimal reconstructors are in the form of the cascade of a discrete-time smoother and a genera...

We present a novel strategy for automatically debugging programs given sampled data from thousands of actual user runs. Our goal is to pinpoint those features that are most correlated with crashes. This is accomplished by maximizing an appropriately defined utility function. It has analogies with intuitive debugging heuristics, and, as we demonstrate, is able to deal with various types of bugs ...

Perceived speed was measured for stimuli moving unidirectionally in apparent motion with different sampling steps. The stimuli were displayed at successive locations for very brief durations (on-time = 1 msec). The basic result is an elevation of apparent speed produced by increasing the sampling step. This speed-up effect is maximal at low speeds (2 deg/sec), then progressively decreases with ...