Hochschule Bonn-Rhein-Sieg
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Gesundheitsnormen
No full textDieses Video aus der Videoreihe „Normen-ABC“ gibt eine Übersicht zu Gesundheitsnormen von A bis Z. Es wird veranschaulicht, wie Normen durch regionale, europäische und weltweite Vereinheitlichung Leben retten und Gesundheit schützen. Als Praxisbeispiel wird der Aufbau der Zertifizierungsnorm DIN ISO 45001 „Sicherheit und Gesundheit bei der Arbeit“ kurz erläutert
KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial Documents
No full textExperimental Evaluation and Analysis of Switching Losses for an Active Snubber Cell for High-Power Interleaved Boost Converters
No full textComparing the four spectrophotometric assays DPPH, ABTS, FRAP and Folin-Ciocalteu to evaluate the antioxidant activity of a set of lignins
No full textOn the Suitability of Representations for Quality Diversity Optimization of Shapes
No full textThe representation, or encoding, utilized in evolutionary algorithms has a substantial effect on their performance. Examination of the suitability of widely used representations for quality diversity optimization (QD) in robotic domains has yielded inconsistent results regarding the most appropriate encoding method. Given the domain-dependent nature of QD, additional evidence from other domains is necessary. This study compares the impact of several representations, including direct encoding, a dictionary-based representation, parametric encoding, compositional pattern producing networks, and cellular automata, on the generation of voxelized meshes in an architecture setting. The results reveal that some indirect encodings outperform direct encodings and can generate more diverse solution sets, especially when considering full phenotypic diversity. The paper introduces a multi-encoding QD approach that incorporates all evaluated representations in the same archive. Species of encodings compete on the basis of phenotypic features, leading to an approach that demonstrates similar performance to the best single-encoding QD approach. This is noteworthy, as it does not always require the contribution of the best-performing single encoding