Filtern
Erscheinungsjahr
- 2018 (262) (entfernen)
Institut
- Fachbereich Medizintechnik und Technomathematik (68)
- Fachbereich Elektrotechnik und Informationstechnik (44)
- IfB - Institut für Bioengineering (41)
- INB - Institut für Nano- und Biotechnologien (25)
- Fachbereich Luft- und Raumfahrttechnik (24)
- Fachbereich Maschinenbau und Mechatronik (24)
- Fachbereich Chemie und Biotechnologie (22)
- Fachbereich Energietechnik (22)
- Fachbereich Wirtschaftswissenschaften (21)
- Fachbereich Bauingenieurwesen (16)
Dokumenttyp
- Wissenschaftlicher Artikel (127)
- Konferenzveröffentlichung (78)
- Teil eines Buches (Kapitel) (31)
- Buch (Monographie) (12)
- Arbeitspapier (3)
- Konferenz: Meeting Abstract (2)
- Dissertation (2)
- Patent (2)
- Ausgabe (Heft) zu einer Zeitschrift (2)
- Konferenzposter (1)
Schlagworte
- Datenschutz (2)
- Digitale Transformation (2)
- Energy efficiency (2)
- Engineering optimization (2)
- Literaturanalyse (2)
- MINLP (2)
- Pump System (2)
- Serious Game (2)
- Water (2)
- Actors (1)
- Agility (1)
- Antarctica (1)
- Awareness (1)
- Bahadur efficiency (1)
- Bioeconomy (1)
- Bioethanol (1)
- Biorefinery (1)
- Biorefinery definitions (1)
- Bladder (1)
- Booster Stations (1)
- Buffering Capacity (1)
- CDG (1)
- CEO career variety (1)
- Chance Constraint (1)
- Chemical imaging (1)
- Cloud Computing (1)
- Coat protein (1)
- Competence Developing Game (1)
- Conditions (1)
- Conductive boundary condition (1)
- Coverage probability (1)
- Cramér-von-Mises statistic (1)
- Datenschutzgrundverordnung (1)
- Datenschutzrecht (1)
- Design process (1)
- Dry surfaces (1)
- EBSCO Discovery Service (1)
- EU-DS-GVO (1)
- EUDSGVO (1)
- Engineering Application (1)
- Enterprise Architecture (1)
- Enzyme nanocarrier (1)
- Equivalence test (1)
- Field-effect device (1)
- Forschungsprozess (1)
- GOSSAMER-1 (1)
- Geschäftsprozessmanagement (1)
- Global optimization (1)
- Glucose biosensor (1)
- Glucose oxidase (1)
- Goodness-of-fit tests for uniformity (1)
- Growth modelling (1)
- IBM Watson Explorer (1)
- INODIS (1)
- IT-Sicherheit (1)
- Identitätsmanagement (1)
- Informationsgetriebene Geschäftsmodelle (1)
- Integrated empirical distribution (survival) function (1)
- Internet der Dinge (1)
- Introduction (1)
- Inverse scattering (1)
- Jupiter (1)
- Kernel density estimator (1)
- Lab-on-Chip (1)
- Latin Hypercube Sampling (1)
- Length of confidence intervals (1)
- Light-addressable potentiometric sensor (1)
- Lignocellulose feedstook (1)
- Literatur-analyse-prozess (1)
- Literaturdaten (1)
- Literature review (1)
- MASCOT (1)
- Manifestations (1)
- Mars (1)
- Mechanical simulation (1)
- Microbial adhesion (1)
- Minimum dissipation (1)
- Mixed-integer nonlinear problem (1)
- Monetarisierung (1)
- Multi-criteria optimization (1)
- Muscle fibers (1)
- Network (1)
- Numerical inversion of Laplace transforms (1)
- Paper recycling (1)
- Passive stretching (1)
- Pelvic floor dysfunction (1)
- Pelvic muscle (1)
- Pitman efficiency (1)
- Planetary exploration (1)
- Planning process (1)
- Player Types (1)
- Potentiometry (1)
- Process engineering (1)
- Process schemes (1)
- Projektbeispiele (1)
- Prozessautomatisierung (1)
- Qualitative Wertschöpfungsanalyse (1)
- RC frames (1)
- Reconstruction (1)
- Rehabilitation Technology and Prosthetics (1)
- Relative exploration orientation (1)
- Renewable resources (1)
- Research process (1)
- Sampling methods (1)
- Softwareroboter (1)
- Stochastic Programming (1)
- Story (1)
- Structure and Stages (1)
- Surface microorganisms (1)
- Surgical Navigation and Robotics (1)
- Swabbing (1)
- TMT composition (1)
- TMT structure (1)
- Technische Schutzmaßnahmen (1)
- Text Analytics (1)
- Text Analytics (1)
- Text analytics (1)
- Text mining (1)
- Tobacco mosaic virus (TMV) (1)
- Tools (1)
- Transition (1)
- Transmission eigenvalues (1)
- Turbulence (1)
- Uncertainty (1)
- Ureter (1)
- Video Game (1)
- Water Distribution (1)
- Water Supply Networks (1)
- Wilcoxon tests (1)
- Wissenstransfer (1)
- achilles tendon (1)
- agile (1)
- business simulation (1)
- design of technical systems (1)
- earthquakes (1)
- energy absorption (1)
- energy dissipation (1)
- frequency mixing (1)
- functional data (1)
- habitability (1)
- huge dimensional data (1)
- ice moons (1)
- icy moons (1)
- in-plane and out-of-plane failure (1)
- legal obligations (1)
- life detection (1)
- magnetic beads (1)
- magnetic sensing (1)
- mathematical optimization (1)
- mechanical buffer (1)
- multiple NEA rendezvous (1)
- optimization (1)
- product liability (1)
- remote sensing (1)
- resilience (1)
- separable Hilbert space (1)
- slum classification (1)
- small spacecraft (1)
- solar sail (1)
- space missions (1)
- stiffness (1)
- superparamagnetic nanoparticles (1)
- tablet game (1)
- underwater vehicle (1)
- upper echelons theory (1)
- water supply design (1)
Sleep scoring is a necessary and time-consuming task in sleep studies. In animal models (such as mice) or in humans, automating this tedious process promises to facilitate long-term studies and to promote sleep biology as a data-driven f ield. We introduce a deep neural network model that is able to predict different states of consciousness (Wake, Non-REM, REM) in mice from EEG and EMG recordings with excellent scoring results for out-of-sample data. Predictions are made on epochs of 4 seconds length, and epochs are classified as artifactfree or not. The model architecture draws on recent advances in deep learning and in convolutional neural networks research. In contrast to previous approaches towards automated sleep scoring, our model does not rely on manually defined features of the data but learns predictive features automatically. We expect deep learning models like ours to become widely applied in different fields, automating many repetitive cognitive tasks that were previously difficult to tackle.
Enzyme und Biosensorik
(2018)
Enzymbasierte Biosensoren finden seit mehr als fünf Jahrzehnten einen prosperierenden Wachstumsmarkt und werden zunehmend auch in biotechnologischen Prozessen eingesetzt. In diesem Kapitel werden, ausgehend vom Sensorbegriff und typischen Kenngrößen für Biosensoren (Abschn. 18.1), elektrochemische Enzym-Biosensoren vorgestellt und deren typischen Einsatzgebiete diskutiert (Abschn. 18.2). Ein Blick über den „Tellerrand“ hinaus zeigt alternative Transduktorprinzipien (Abschn. 18.3) und führt abschließend in aktuelle Forschungstrends ein (Abschn. 18.4).
Against the background of growing data in everyday life, data processing tools become more powerful to deal with the increasing complexity in building design. The architectural planning process is offered a variety of new instruments to design, plan and communicate planning decisions. Ideally the access to information serves to secure and document the quality of the building and in the worst case, the increased data absorbs time by collection and processing without any benefit for the building and its user. Process models can illustrate the impact of information on the design- and planning process so that architect and planner can steer the process. This paper provides historic and contemporary models to visualize the architectural planning process and introduces means to describe today’s situation consisting of stakeholders, events and instruments. It explains conceptions during Renaissance in contrast to models used in the second half of the 20th century. Contemporary models are discussed regarding their value against the background of increasing computation in the building process.
Highly competitive markets paired with tremendous production volumes demand particularly cost efficient products. The usage of common parts and modules across product families can potentially reduce production costs. Yet, increasing commonality typically results in overdesign of individual products. Multi domain virtual prototyping enables designers to evaluate costs and technical feasibility of different single product designs at reasonable computational effort in early design phases. However, savings by platform commonality are hard to quantify and require detailed knowledge of e.g. the production process and the supply chain. Therefore, we present and evaluate a multi-objective metamodel-based optimization algorithm which enables designers to explore the trade-off between high commonality and cost optimal design of single products.
Given industrial applications, the costs for the operation and maintenance of a pump system typically far exceed its purchase price. For finding an optimal pump configuration which minimizes not only investment, but life-cycle costs, methods like Technical Operations Research which is based on Mixed-Integer Programming can be applied. However, during the planning phase, the designer is often faced with uncertain input data, e.g. future load demands can only be estimated. In this work, we deal with this uncertainty by developing a chance-constrained two-stage (CCTS) stochastic program. The design and operation of a booster station working under uncertain load demand are optimized to minimize total cost including purchase price, operation cost incurred by energy consumption and penalty cost resulting from water shortage. We find optimized system layouts using a sample average approximation (SAA) algorithm, and analyze the results for different risk levels of water shortage. By adjusting the risk level, the costs and performance range of the system can be balanced, and thus the
system’s resilience can be engineered
The Kremer-Grest (KG) bead-spring model is a near standard in Molecular Dynamic simulations of generic polymer properties. It owes its popularity to its computational efficiency, rather than its ability to represent specific polymer species and conditions. Here we investigate how to adapt the model to match the universal properties of a wide range of chemical polymers species. For this purpose we vary a single parameter originally introduced by Faller and Müller-Plathe, the chain stiffness. Examples include polystyrene, polyethylene, polypropylene, cis-polyisoprene, polydimethylsiloxane, polyethyleneoxide and styrene-butadiene rubber. We do this by matching the number of Kuhn segments per chain and the number of Kuhn segments per cubic Kuhn volume for the polymer species and for the Kremer-Grest model. We also derive mapping relations for converting KG model units back to physical units, in particular we obtain the entanglement time for the KG model as function of stiffness allowing for a time mapping. To test these relations, we generate large equilibrated well entangled polymer melts, and measure the entanglement moduli using a static primitive-path analysis of the entangled melt structure as well as by simulations of step-strain deformation of the model melts. The obtained moduli for our model polymer melts are in good agreement with the experimentally expected moduli.