In this paper we discuss two data models for spatial database systems: the linear data model and the topological data model . Both can be used to model a wide range of applications. The linear data model is particularly suited to model spatial database applications in which exact geometrical information is required and in which this information can be approximated by linear geometrical spatial ...

The relationship between topography, land use, and topsoil moisture storage is investigated for a small catchment with undulating deep loess hilslopes in the south of the Netherlands. For a period of 10 months, soil moisture profiles have been measured weekly at 15 locations throughout the catchment. A Generalized Additive Model was employed to find relationships between the various factors inf...

Title of Dissertation: DESIGN AND FABRICATION OF ELECTROTHERMAL MICROMOTORS AND COMPLIANT MECHANISMS FOR SPATIAL PARALLEL MICROMANIPULATORS Wei-Jen Cheng, Doctor of Philosophy, 2005 Directed By: Associate Professor Don DeVoe Department of Mechanical Engineering In this dissertation a new class of spatial micromechanisms employing compliant joints and electrothermal motors has been developed. Th...

In the presented work, a non linear effect of rubber referred as Fletcher-Gent effect or Payne effect is investigated. It leads to a change in the rubber dynamic modulus with vibration amplitudes and, consequently, modifies resonance frequencies of mechanical systems including non linear elastomers. In this study a new methodology is developed to take into account Payne effect in a linear visco...

In this paper we consider the problem of estimating the parameters of a Poisson arrival process where the rate function is assumed to lie in the span of a known basis. Our goal is to estimate the basis expansions coefficients given a realization of this process. We establish novel guarantees concerning the accuracy achieved by the maximum likelihood estimate. Our initial result is near optimal,...

Accurate prediction of travel time is an essential feature to support Intelligent Transportation Systems (ITS). The non-linearity traffic states, however, makes this a challenging task. Here we propose use dynamic linear models (DLMs) approximate the non-linear states. Unlike static regression model, DLMs assume that their parameters are changing across time. We design DLM with model defined at...