Refine
Year of publication
- 2020 (236) (remove)
Institute
- Fachbereich Medizintechnik und Technomathematik (59)
- Fachbereich Energietechnik (35)
- Fachbereich Wirtschaftswissenschaften (34)
- IfB - Institut für Bioengineering (32)
- Fachbereich Luft- und Raumfahrttechnik (31)
- Fachbereich Elektrotechnik und Informationstechnik (29)
- ECSM European Center for Sustainable Mobility (18)
- Fachbereich Maschinenbau und Mechatronik (17)
- Fachbereich Bauingenieurwesen (14)
- Solar-Institut Jülich (14)
Has Fulltext
- no (236) (remove)
Language
- English (169)
- German (65)
- Multiple languages (1)
- Dutch (1)
Document Type
- Article (130)
- Conference Proceeding (55)
- Part of a Book (20)
- Book (9)
- Review (7)
- Other (4)
- Doctoral Thesis (3)
- Patent (3)
- Conference Poster (2)
- Conference: Meeting Abstract (1)
Keywords
- MINLP (3)
- Additive manufacturing (2)
- Adjacent buildings (2)
- Experimental validation (2)
- Historical centres (2)
- INODIS (2)
- Shake table test (2)
- Stone masonry (2)
- rebound-effect (2)
- sustainability (2)
- 3D printing (1)
- Acceptance (1)
- Adaptive control (1)
- Anwendungsorientierter Forschungsansatz (1)
- Atmospheres (1)
- Blind prediction competition (1)
- Brownian Pillow (1)
- Bumblebees (1)
- Capacity Building Higher Education (1)
- Capacity Curve (1)
- Case study (1)
- Change culture (1)
- Choleratoxin B (1)
- Conservation laws (1)
- Cooling system (1)
- Crámer–von-Mises distance (1)
- Datenschutz (1)
- Design Science Research (1)
- Deutschland (1)
- Digital manufacturing (1)
- Digitalization (1)
- Dimensional splitting (1)
- E-Learning (1)
- Efficiency optimization (1)
- Engineering optimisation (1)
- Engineering optimization (1)
- Enhanced Telecom Operations Map (1)
- Entropy solution (1)
- Ethics (1)
- European Framework and South East Asia (1)
- Exoplanet (1)
- Exponential time differencing (1)
- Finite difference methods (1)
- Flight control (1)
- Glass powder (1)
- Higher-order codes (1)
- Hoeffding-Blum-Kiefer-Rosenblatt independence test (1)
- Human Development Index (1)
- Human factors (1)
- Human-robot collaboration (1)
- Implicit methods (1)
- Incomplete data (1)
- Industrial optimisation (1)
- Interactive process mining (1)
- Interior transmission eigenvalues (1)
- Iterative learning control (1)
- Kirchenrecht (1)
- L-PBF (1)
- Laser processing (1)
- Lean thinking (1)
- Literaturanalyse (1)
- Literaturrecherche (1)
- MAV (1)
- MILP (1)
- Malaysian Automotive Industry (1)
- Marginal homogeneity test (1)
- Masonry structures (1)
- Matrix exponential (1)
- Melting (1)
- Methodology (1)
- Mixed-integer programming (1)
- Monotone methods (1)
- Multi-dimensional partial differential equations (1)
- Neo-Deterministic (1)
- Network design (1)
- Nonlinear PDEs (1)
- OR 2019 (1)
- Objective data (1)
- Obstacle avoidance (1)
- Paired sample (1)
- Payload (1)
- Piecewise linearization (1)
- Powertrain (1)
- Praxisprojekte (1)
- Process engineering (1)
- Pumping systems (1)
- Rapid manufacturing (1)
- Rapid prototyping (1)
- Reaction-diffusion systems (1)
- Real distinct pole (1)
- Referenzmodellierung (1)
- Resampling test (1)
- Resilience assessment (1)
- Resilience metric graph theory (1)
- Resilient infrastructure (1)
- Robotic rehabilitation (1)
- SSE) JEL : O33 (1)
- Seismic Hazard (1)
- Source term (1)
- Spectroscopy (1)
- Technical Operations Research (1)
- Technology Transfer (1)
- Text Analytics (1)
- Text Mining (1)
- Transit (1)
- Trinkwassersicherheit (1)
- UAV (1)
- Vulnerability Curves (1)
- Water distribution system (1)
- Water supply system (1)
- agility (1)
- anticipation strategy (1)
- architectural design (1)
- architectural layered representation (1)
- automotive (1)
- business analytics (1)
- cholera toxin B (1)
- community dwelling (1)
- connection detail (1)
- corporate sustainability (1)
- critical (1)
- decision analytics (1)
- digital economy (1)
- digital twin (1)
- drinking water safety (1)
- earthquake (1)
- efficiency side-effects (1)
- elastic scattering (1)
- fault detection (1)
- grey energy (1)
- healthy aging (1)
- in-plane (1)
- in-plane behaviour (1)
- industry 4.0 (1)
- jevons paradox (1)
- literature (1)
- magnetic frequency mixing technique (1)
- marketing (1)
- masonry infill (1)
- mathematical optimization (1)
- method of fundamental solutions (1)
- not identically distributed (1)
- out-of-plane (1)
- out-of-plane behaviour (1)
- performativity in personal knowledge (1)
- personal way of designing (1)
- prevention (1)
- psychosocial (1)
- random effects meta-regression model (1)
- resource abundance (1)
- review (1)
- seismic (1)
- socio-economic welfare (1)
- systematic (1)
- water supply system (1)
Is part of the Bibliography
- no (236)
Multi-enzyme immobilization onto a capacitive field-effect biosensor by nano-spotting technique is presented. The nano-spotting technique allows to immobilize different enzymes simultaneously on the sensor surface with high spatial resolution without additional photolithographical patterning. The amount of applied enzymatic cocktail on the sensor surface can be tailored. Capacitive electrolyte-insulator-semiconductor (EIS) field-effect sensors with Ta2O5 as pH-sensitive transducer layer have been chosen to immobilize the three different (pL droplets) enzymes penicillinase, urease, and glucose oxidase. Nano-spotting immobilization is compared to conventional drop-coating method by defining different geometrical layouts on the sensor surface (fully, half-, and quarter-spotted). The drop diameter is varying between 84 µm and 102 µm, depending on the number of applied drops (1 to 4) per spot. For multi-analyte detection, penicillinase and urease are simultaneously nano-spotted on the EIS sensor. Sensor characterization was performed by C/V (capacitance/voltage) and ConCap (constant capacitance) measurements. Average penicillin, glucose, and urea sensitivities for the spotted enzymes were 81.7 mV/dec, 40.5 mV/dec, and 68.9 mV/dec, respectively.
Safety of subjects during radiofrequency exposure in ultra-high-field magnetic resonance imaging
(2020)
Magnetic resonance imaging (MRI) is one of the most important medical imaging techniques. Since the introduction of MRI in the mid-1980s, there has been a continuous trend toward higher static magnetic fields to obtain i.a. a higher signal-to-noise ratio. The step toward ultra-high-field (UHF) MRI at 7 Tesla and higher, however, creates several challenges regarding the homogeneity of the spin excitation RF transmit field and the RF exposure of the subject. In UHF MRI systems, the wavelength of the RF field is in the range of the diameter of the human body, which can result in inhomogeneous spin excitation and local SAR hotspots. To optimize the homogeneity in a region of interest, UHF MRI systems use parallel transmit systems with multiple transmit antennas and time-dependent modulation of the RF signal in the individual transmit channels. Furthermore, SAR increases with increasing field strength, while the SAR limits remain unchanged. Two different approaches to generate the RF transmit field in UHF systems using antenna arrays close and remote to the body are investigated in this letter. Achievable imaging performance is evaluated compared to typical clinical RF transmit systems at lower field strength. The evaluation has been performed under consideration of RF exposure based on local SAR and tissue temperature. Furthermore, results for thermal dose as an alternative RF exposure metric are presented.
In this study, we describe the manufacturing and characterization of silk fibroin membranes derived from the silkworm Bombyx mori. To date, the dissolution process used in this study has only been researched to a limited extent, although it entails various potential advantages, such as reduced expenses and the absence of toxic chemicals in comparison to other conventional techniques. Therefore, the aim of this study was to determine the influence of different fibroin concentrations on the process output and resulting membrane properties. Casted membranes were thus characterized with regard to their mechanical, structural and optical assets via tensile testing, SEM, light microscopy and spectrophotometry. Cytotoxicity was evaluated using BrdU, XTT, and LDH assays, followed by live–dead staining. The formic acid (FA) dissolution method was proven to be suitable for the manufacturing of transparent and mechanically stable membranes. The fibroin concentration affects both thickness and transparency of the membranes. The membranes did not exhibit any signs of cytotoxicity. When compared to other current scientific and technical benchmarks, the manufactured membranes displayed promising potential for various biomedical applications. Further research is nevertheless necessary to improve reproducible manufacturing, including a more uniform thickness, less impurity and physiological pH within the membranes.
Electrolyte-insulator-semiconductor (EIS) field-effect sensors belong to a new generation of electronic chips for biochemical sensing, enabling a direct electronic readout. The review gives an overview on recent advances and current trends in the research and development of chemical sensors and biosensors based on the capacitive field-effect EIS structure—the simplest field-effect device, which represents a biochemically sensitive capacitor. Fundamental concepts, physicochemical phenomena underlying the transduction mechanism and application of capacitive EIS sensors for the detection of pH, ion concentrations, and enzymatic reactions, as well as the label-free detection of charged molecules (nucleic acids, proteins, and polyelectrolytes) and nanoparticles, are presented and discussed.
Räumliche Transformation
(2020)
In this paper we present SMART-FACTORY, a setup for a research and teaching facility in industrial robotics that is based on the RoboCup Logistics League. It is driven by the need for developing and applying solutions for digital production. Digitization receives constantly increasing attention in many areas, especially in industry. The common theme is to make things smart by using intelligent computer technology. Especially in the last decade there have been many attempts to improve existing processes in factories, for example, in production logistics, also with deploying cyber-physical systems. An initiative that explores challenges and opportunities for robots in such a setting is the RoboCup Logistics League. Since its foundation in 2012 it is an international effort for research and education in an intra-warehouse logistics scenario. During seven years of competition a lot of knowledge and experience regarding autonomous robots was gained. This knowledge and experience shall provide the basis for further research in challenges of future production. The focus of our SMART-FACTORY is to create a stimulating environment for research on logistics robotics, for teaching activities in computer science and electrical engineering programmes as well as for industrial users to study and explore the feasibility of future technologies. Building on a very successful history in the RoboCup Logistics League we aim to provide stakeholders with a dedicated facility oriented at their individual needs.
The manufacturing share of laser powder bed fusion (L-PBF) increases in industrial application, but still many process steps are manually operated. Additionally, it is not possible to achieve tight dimensional tolerances or low surfaces roughness. Hence, a process chain has to be set up to combine additive manufacturing (AM) with further machining technologies. To achieve a continuous workpiece flow as basis for further industrialization of L-PBF, the paper presents a novel substrate system and its application on L-PBF machines and post-processing. The substrate system consists of a zero-point clamping system and a matrix-like interface of contact pins to be substantially connected to the workpiece within the L-PBF process.
While bringing new opportunities, the Industry 4.0 movement also imposes new challenges to the manufacturing industry and all its stakeholders. In this competitive environment, a skilled and engaged workforce is a key to success. Gamification can generate valuable feedbacks for improving employees’ engagement and performance. Currently, Gamification in workspaces focuses on computer-based assignments and training, while tasks that require manual labor are rarely considered. This research provides an overview of Enterprise Gamification approaches and evaluates the challenges. Based on that, a skill-based Gamification framework for manual tasks is proposed, and a case study in the Industry 4.0 model factory is shown.
Robust estimators for free surface turbulence characterization: A stepped spillway application
(2020)
Robust estimators are parameters insensitive to the presence of outliers. However, they presume the shape of the variables’ probability density function. This study exemplifies the sensitivity of turbulent quantities to the use of classic and robust estimators and the presence of outliers in turbulent flow depth time series. A wide range of turbulence quantities was analysed based upon a stepped spillway case study, using flow depths sampled with Acoustic Displacement Meters as the flow variable of interest. The studied parameters include: the expected free surface level, the expected fluctuation intensity, the depth skewness, the autocorrelation timescales, the vertical velocity fluctuation intensity, the perturbations celerity and the one-dimensional free surface turbulence spectrum. Three levels of filtering were utilised prior to applying classic and robust estimators, showing that comparable robustness can be obtained either using classic estimators together with an intermediate filtering technique or using robust estimators instead, without any filtering technique.