University of Passau

About: University of Passau is a education organization based out in Passau, Bayern, Germany. It is known for research contribution in the topics: Computer science & Context (language use). The organization has 1543 authors who have published 4763 publications receiving 93338 citations.

Space–time mapping and tiling: a helpful combination

Abstract: Tiling is a well-known technique for sequential compiler optimization, as well as for automatic program parallelization. However, in the context of parallelization, tiling should not be considered as a stand-alone technique, but should be applied after a dedicated parallelization phase, in our case after space–time mapping. We show how tiling can benefit from space–time mapping, and we derive an algorithm for computing tiles which can minimize the number of communication startups, taking the number of physically available processors into account. We also present how the use of a simple cost model reduces real execution time. Copyright © 2004 John Wiley & Sons, Ltd.

Introduction to Stochastic Scheduling Problems

Abstract: The paper gives an introduction to some recent developments in stochastic scheduling, covering quite general nonpreemptive models. The approach is mainly intuitive, using a lot of illustrative examples and referring to other papers for proofs. Subjects treated are the characterization of all existing strategies, the identification of interesting subclasses of strategies, results on the optimality, stability and monotonicity behaviour and, finally, insights into the special nature of exponential models, for which hints to some basic open questions are also included.

Optimal quantizers for Radon random vectors in a Banach space

Abstract: For every integer n and evrery positive real number r > 0 and a Radon random vector X with values in a Banach space E, let e\_{n,r}(X,E) = inf{(E (\min\_{a \in \alpha} || X-a ||^r)^{1/r}}, where the infimum is taken over all subsets \alpha of E with card(\alpha) <= n (n-quantizers). We investigate the existence of optimal n-quantizers for this L^r-quantization propblem, derive their stationarity properties and establish for L^p-spaces E the pathwise regularity of stationary quantizers.

Detecting Disordered Breathing and Limb Movement Using In-Bed Force Sensors

Abstract: We present and evaluate measurement fusion and decision fusion for recognizing apnea and periodic limb movement in sleep episodes. We used an in-bed sensor system composed of an array of strain gauges to detect pressure changes corresponding to respiration and body movement. The sensor system was placed under the bed mattress during sleep and continuously recorded pressure changes. We evaluated both fusion frameworks in a study with nine adult participants that had mixed occurrences of normal sleep, apnea, and periodic limb movement. Both frameworks yielded similar recognition accuracies of 72.1 $\pm \sim$ 12% compared to 63.7 $\pm$ 17.4% for a rule-based detection reported in the literature. We concluded that the pattern recognition methods can outperform previous rule-based detection methods for classifying disordered breathing and period limb movements simultaneously.