Hochschule Bonn-Rhein-Sieg
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Entwurf, Herstellung und Verifikation von angepassten Strahlformern für aktive 3D-Messsysteme mit Multi-Emitter-Beleuchtungssystemen
No full textAktive 3D-Messsysteme sind für präzise 3D-Messungen in Bereichen wie der Logistik, der industriellen Sicherheit und der biometrischen Authentifizierung zunehmend relevant. Im Gegensatz zu passiven Systemen verfügen sie über eine eigene örtlich und/oder zeitlich modulierte Beleuchtung. Dadurch können sie unabhängig vom Umgebungslicht Messungen durchführen
A 33-year diagnostic odyssey in an Ashkenazi Jewish patient with Aicardi-Goutières syndrome
No full textThe critical need for awareness and genetic testing of the SAMHD1 deletion in Ashkenazi Jewish patients is highlighted owing to its relatively high carrier frequency. Early detection can prevent severe disease complications through targeted therapy
You Can’t Touch This: Detecting Typosquatting Packages for Enhanced Malware Prevention in Software Supply Chains
No full textRheoTack evaluation of detaching behavior of silicone-based pressure sensitive adhesives for transdermal therapeutic systems
No full textView recommendation for multi-camera demonstration-based training
Get PDFWhile humans can effortlessly pick a view from multiple streams, automatically choosing the best view is a challenge. Choosing the best view from multi-camera streams poses a problem regarding which objective metrics should be considered. Existing works on view selection lack consensus about which metrics should be considered to select the best view. The literature on view selection describes diverse possible metrics. And strategies such as information-theoretic, instructional design, or aesthetics-motivated fail to incorporate all approaches. In this work, we postulate a strategy incorporating information-theoretic and instructional design-based objective metrics to select the best view from a set of views. Traditionally, information-theoretic measures have been used to find the goodness of a view, such as in 3D rendering. We adapted a similar measure known as the viewpoint entropy for real-world 2D images. Additionally, we incorporated similarity penalization to get a more accurate measure of the entropy of a view, which is one of the metrics for the best view selection. Since the choice of the best view is domain-dependent, we chose demonstration-based training scenarios as our use case. The limitation of our chosen scenarios is that they do not include collaborative training and solely feature a single trainer. To incorporate instructional design considerations, we included the trainer’s body pose, face, face when instructing, and hands visibility as metrics. To incorporate domain knowledge we included predetermined regions’ visibility as another metric. All of those metrics are taken into account to produce a parameterized view recommendation approach for demonstration-based training. An online study using recorded multi-camera video streams from a simulation environment was used to validate those metrics. Furthermore, the responses from the online study were used to optimize the view recommendation performance with a normalized discounted cumulative gain (NDCG) value of 0.912, which shows good performance with respect to matching user choices
Mechanochemical Tailoring of Lignin Structure: Influence of Different Particle Sizes in the Organosolv Process
No full textThe autocatalyzed ethanolic organosolv process is gaining increasing attention for the sulfur-free isolation of lignin, which is subsequently used as a renewable substitute for various fossil-based applications. For the first time, the mechanochemical influence of seven different particle sizes of two different biomasses on the respective organosolv lignin structure is examined. Wine pruning (Pinot Noir) and wine pomace (Accent) are used for organosolv process with particle sizes ranging from 2.0–1.6 mm to less than 0.25 mm. As particle size decreases, the weight-average molecular weight increases, while the total phenol content decreases significantly. Additionally, the distribution of the lignin-typical monolignols and relevant substructures, as determined by two-dimensional heteronuclear nuclear magnetic resonance spectra single quantum coherence (HSQC), is observed. The degree of grinding of the biomass has a clear chemical–structural influence on the isolated HG and HGS organosolv lignins. Therefore, it is crucial to understand this influence to apply organosolv lignins in a targeted manner. In the future, particle size specifications in the context of the organosolv process should be expressed in terms of distribution densities rather than in terms of a smaller than specification
Bringing Mathematical Modeling and Engineering Students Closer Together by Seamlessly Linking Theories, Methods, and Applications
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