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Probabilistic Framework for Sensor Management

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Book Series: Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Universität Karlsruhe, Intelligent Sensor-Actuator-Systems Laboratory ISSN: 18673813 ISBN: 9783866444058 Year: Volume: 7 Pages: VI, 159 p. DOI: 10.5445/KSP/1000012224 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Computer Science
Added to DOAB on : 2019-07-30 19:59:17
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Abstract

A probabilistic sensor management framework is introduced, which maximizes the utility of sensor systems with many different sensing modalities by dynamically configuring the sensor system in the most beneficial way. For this purpose, techniques from stochastic control and Bayesian estimation are combined such that long-term effects of possible sensor configurations and stochastic uncertainties resulting from noisy measurements can be incorporated into the sensor management decisions.

Implementation and application of the explicitly correlated coupled-cluster method in Turbomole

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ISBN: 9783866443921 Year: Pages: 102 p. DOI: 10.5445/KSP/1000011987 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Chemistry (General)
Added to DOAB on : 2019-07-30 20:02:00
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In this thesis the implementation of the explicitly correlated coupled-cluster singles-and-doubles model is presented. This tool is capable of efficiently calculating CCSD energies at the basis set limit with relatively small orbital basis sets. The implementation supports RHF, UHF and ROHF reference wave functions. The usefulness of the developed tool is illustrated with selected chemical applications.

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