The problem of nonseparable space-time covariance functions is essential and difficult in spatiotemporal data analysis. Considering that a fully symmetric space-time covariance function is inappropriate for many spatiotemporal processes, this article provides a way to construct a non-fully symmetric nonseparable space-time correlation function from any given marginal spatial Matérn and marginal...

A key challenge in supporting information interchange is not only supporting queries over integrated data, but also updates. Previous work on update exchange has enabled update propagation over schema mappings in a unidirectional way — conceptually similar to view maintenance, in that a derived instance gets updated based on changes to a source instance. In this paper, we consider how to suppor...

Subjects were presented with three-dimensional objects rendered with BRDF-based lighting. The subjects were tested to see if (1) the object they were looking at affected their ability to evaluate an objects material and (2) if they were able to tell different materials apart based only on light reflectance. Results showed that even though most subjects felt like they were guessing, subjects wer...

People's estimations of how certain speakers are of their knowledge (FOAK) match speakers' own estimation (FOK) of how certain they are (Brennan & Williams, 1995). This is because others can interpret the verbal and nonverbal cues of (un)certainty that a speaker displays (Brennan & Williams, 1995; Swerts & Krahmer, 2005). Estimating another's certainty thus seems to be driven by the bottom-up p...

We prove L1{contraction principle and uniqueness of solutions for quasilinear elliptic{parabolic equations of the form @t[b(u)] div[a(ru; b(u))] + f(b(u)) = 0 in (0; T ) ; where b is monotone nondecreasing and continuous. We only assume that u is a weak solution of nite energy (see [1]). In particular, we do not suppose that the distributional derivative @t[b(u)] is a bounded Borel measure or a...

This paper considers the class of discrete distributions for which the distribution function is a log-concave sequence. It is shown that such distributions arise from a wide variety of circumstances in Reliability, and that these have a decreasing reversed hazard rate. After examining the closures of the class under certain key operations, sharp upper and lower bounds on the reliability functio...

Measuring reflection properties of a 3D object involves capturing images for numerous viewing and lighting directions. We present a method to select advantageous measurement directions based on analyzing the estimation of the bi-directional reflectance distribution function (BRDF). The selected directions minimize the uncertainty in the estimated parameters of the BRDF. As a result, few measure...

Key distribution is of a critical importance to security of wireless sensor networks (WSNs). Random key predistribution is an acknowledged approach to the key distribution problem. In this paper, we propose and analyze two novel improvements that enhance security provided by the random key predistribution schemes. The first improvement exploits limited length collisions in secure hash functions...

Many commonly used time–frequency distributions are members of the Cohen class. This class is defined for continuous signals, and since time–frequency distributions in the Cohen class are quadratic, the formulation for discrete signals is not straightforward. The Cohen class can be derived as the class of all quadratic time–frequency distributions that are covariant to time shifts and frequency...