We propose a novel framework, the cummulative distribution function (cdf )-intervals, that intuitively describes data coupled with uncertainty without losing any information given in the problem definition. Our new proposition ...

VANETs represent a promising approach to realize novel applications by exchanging information between vehicles over a wireless medium. Primarily safety applications are counted among them, which intend to increase the road ...

Bei modellbasierten Regelungsapplikationen steht und fällt die Regelgüte mit der Genauigkeit der unterlagerten Modelle. Während bei mechanischen Systemen das dynamische Verhalten von Massen bzw. Trägheitsmomenten und der ...

Anomalies are patterns in data or events which are unlikely to appear under normal conditions. It is of central interest to detect such anomalous instances to prevent damage or to extract valuable information from data. ...

Co-operative vehicular safety systems (CVSS) are promising applications for future intelligent transportation systems. A co-operation between vehicles can be established, if information on the situation on and besides the ...

Basic cognitive abilities and subjective organization have been suggested to account for age-related differences in episodic memory. These relations between basic cognitive abilities, subjective organization, and episodic ...

This thesis describes new algorithms for the Propositional Satisfiability Problem (SAT), a fundamental problem in theoretical and practical computer science. Besides the theoretical relevance of the SAT problem, many ...

Physical Unclonable Functions (PUFs) present a promising concept for cryptographic hardware. PUFs provide a challenge-response scheme, where the response is not calculated but determined by a kind of randomness available ...

This work addresses the theoretical and empirical analysis of Evolution Strategies (ESs) on quadratic functions, in particular on Positive Definite Quadratic Forms (PDQFs). Referring to this subset as the ellipsoid model, ...