Refine
Year of publication
- 2017 (258) (remove)
Institute
- Fachbereich Medizintechnik und Technomathematik (66)
- Fachbereich Elektrotechnik und Informationstechnik (37)
- IfB - Institut für Bioengineering (34)
- Fachbereich Luft- und Raumfahrttechnik (33)
- Fachbereich Wirtschaftswissenschaften (32)
- Fachbereich Energietechnik (27)
- INB - Institut für Nano- und Biotechnologien (27)
- Fachbereich Maschinenbau und Mechatronik (24)
- Fachbereich Bauingenieurwesen (14)
- Fachbereich Architektur (12)
Has Fulltext
- no (258) (remove)
Document Type
- Article (109)
- Conference Proceeding (86)
- Part of a Book (34)
- Book (13)
- Other (11)
- Report (2)
- Contribution to a Periodical (1)
- Doctoral Thesis (1)
- Patent (1)
Keywords
- Autonomous mobile robots (2)
- Gamification (2)
- Industry 4.0 (2)
- MASCOT (2)
- Multi-robot systems (2)
- Smart factory (2)
- 3D nonlinear finite element model (1)
- Acceptance tests (1)
- Ausfachungsmauerwerk (1)
- Automated Optimization (1)
Is part of the Bibliography
- no (258)
Cyber-physical systems are ever more common in manufacturing industries. Increasing their autonomy has been declared an explicit goal, for example, as part of the Industry 4.0 vision. To achieve this system intelligence, principled and software-driven methods are required to analyze sensing data, make goal-directed decisions, and eventually execute and monitor chosen tasks. In this chapter, we present a number of knowledge-based approaches to these problems and case studies with in-depth evaluation results of several different implementations for groups of autonomous mobile robots performing in-house logistics in a smart factory. We focus on knowledge-based systems because besides providing expressive languages and capable reasoning techniques, they also allow for explaining how a particular sequence of actions came about, for example, in the case of a failure.
Die Frage des Schutzes von virtuellen Identitäten ist – insbesondere bei Online-Medien – von elementarer Bedeutung: Ihre Beantwortung entscheidet über die Anwendbarkeit des Datenschutzrechts auf vermeintlich anonyme Nutzerprofile im Internet. Eine differenzierte Auseinandersetzung mit der Problematik, ob und unter welchen Umständen virtuelle Identitäten dem Datenschutzrecht unterfallen, fehlt bislang. Der vorliegende Beitrag gibt einen Überblick über den Schutz virtueller Identitäten und zeigt Ansätze auf, mittels derer bestimmt werden kann, wann virtuelle Identitäten nach Inkrafttreten der DSGVO durch das Datenschutzrecht geschützt werden.
Detection of Adrenaline Based on Bioelectrocatalytical System to Support Tumor Diagnostic Technology
(2017)
The capacitive electrolyte–insulator–semiconductor (EIS) structure is a typical device based on a field-effect sensor platform. With a simple silicon-based structure, EIS have been useful for several sensing applications, especially with incorporation of nanostructured films to modulate the ionic transport and the flat-band potential. In this paper, we report on ion transport and changes in flat-band potential in EIS sensors made with layer-by-layer films containing poly(amidoamine) (PAMAM) dendrimer and single-walled carbon nanotubes (SWNTs) adsorbed on p-Si/SiO 2 /Ta 2 O 5 chips with an Al ohmic contact. The impedance spectra were fitted using an equivalent circuit model, from which we could determine parameters such as the double-layer capacitance. This capacitance decreased with the number of bilayers owing to space charge accumulated at the electrolyte–insulator interface, up to three PAMAM/SWNTs bilayers, after which it stabilized. The charge-transfer resistance was also minimum for three bilayers, thus indicating that this is the ideal architecture for an optimized EIS performance. The understanding of the influence of nanostructures and the fine control of operation parameters pave the way for optimizing the design and performance of new EIS sensors.
Development and Testing of a Low NOX Micromix Combustion Chamber for an Industrial Gas Turbine
(2017)
The Micromix combustion principle, based on cross-flow mixing of air and hydrogen, promises low emission applications in future gas turbines. The Micromix combustion takes place in several hundreds of miniaturized diffusion-type micro-flames. The major advantage is the inherent safety against flash-back and low NOx-emissions due to a very short residence time of reactants in the flame region. The paper gives insight into the Micromix design and scaling procedure for different energy densities and the interaction of scaling laws and key design drivers in gas turbine integration. Numerical studies, experimental testing, gas turbine integration and interface considerations are evaluated. The aerodynamic stabilization of the miniaturized flamelets and the resulting flow field, flame structure and NOx formation are analysed experimentally and numerically. The results show and confirm the successful adaption of the low NOx Micromix characteristics for a range of different nozzle sizes, energy densities and thermal power output.