We conduct gravitational microlensing experiments in a galaxy taken from a cosmological N-body simulation. Hypothetical observers measure the optical depth and event rate toward hypothetical LMCs and compare their results with model predictions. Since we control the accuracy and sophistication of the model, we can determine how good it has to be for statistical errors to dominate over systemati...

The paper addresses features extraction of sensor data for robot behavior learning using factor analysis. Redundancies in sensor types and quantities are common in sensing competence of robots. The redundancies cause the high dimensionality of the perceptual space. It is impractical to incorporate all available sensor information in decision-making and learning of robots due to the huge memory ...

The purpose of this study was to determine the personal utility of asymptomatic third molar removal in military patients. From 1 to 30 days (mean = 7.4) after the extraction of one or more third molars, 100 returning patients (all male, mean age = 20.1) were asked to respond to hypothetical questions concerning the extraction of asymptomatic third molars. If the likelihood of third molars ever ...

Several sugar mills in southern Africa have adverse fuel balances for various reasons, and end up burning enormous amounts of coal. Some of the reasons for this are discussed, and two in particular are analysed in detail: time efficiency and imbibition. The variables that are directly related to the energy efficiency of a sugar mill are listed and their relative effects are discussed. The effec...

The information extraction from documents is an increasingly urgent problem of enterprise knowledge management. Knowledge sources may be internal like text files and forms of business administration processes or external like HTML pages, e.g. When the number of knowledge sources is paramount, substantial computer support is inevitable. Machine learning techniques play a crucial role. A prototyp...

We present a road extraction system from aerial imagery guided by an imprecise road network. After a general discussion on road extraction strategies, we focus on the road recognition module we propose. It relies on two principal elements : a general purpose parallel structures detector in images, which uses a simulation of light ray propagation and reflections; and a dynamic programming based ...