Refine
Year of publication
- 2021 (154) (remove)
Institute
- Fachbereich Medizintechnik und Technomathematik (53)
- IfB - Institut für Bioengineering (35)
- Fachbereich Elektrotechnik und Informationstechnik (25)
- Fachbereich Luft- und Raumfahrttechnik (23)
- Fachbereich Energietechnik (17)
- INB - Institut für Nano- und Biotechnologien (15)
- Fachbereich Chemie und Biotechnologie (11)
- Fachbereich Bauingenieurwesen (10)
- Solar-Institut Jülich (10)
- ECSM European Center for Sustainable Mobility (9)
Language
- English (154) (remove)
Document Type
- Article (86)
- Conference Proceeding (48)
- Part of a Book (12)
- Book (2)
- Doctoral Thesis (2)
- Conference: Meeting Abstract (1)
- Other (1)
- Preprint (1)
- Working Paper (1)
Keywords
- Hydrogen (2)
- NOx emissions (2)
- Out-of-plane load (2)
- PCM (2)
- Principal component analysis (2)
- autonomous driving (2)
- building information modelling (2)
- capacitive field-effect sensor (2)
- constructive alignment (2)
- earthquakes (2)
- electro mobility (2)
- examination (2)
- harmonic radar (2)
- hydrogen (2)
- industrial facilities (2)
- installations (2)
- long-term retention (2)
- management (2)
- multimodal (2)
- piping (2)
- practical learning (2)
- robotic process automation (2)
- seismic loading (2)
- 3D object detection (1)
- 3D printing (1)
- 3D-printing (1)
- Adaptive Systems (1)
- Aircraft sizing (1)
- AlterG (1)
- Augmented Reality (1)
- Authenticity (1)
- BIM (1)
- Bacillus sp (1)
- Biosolubilization (1)
- Bloom’s Taxonomy (1)
- Bone quality and biomechanics (1)
- Bootstrap (1)
- Boundary integral equations (1)
- CFD (1)
- Capacitive field-effect sensor (1)
- CellDrum (1)
- Central receiver power plant (1)
- Coefficient of ocular rigidity (1)
- Competence Developing Games (1)
- Computational modeling (1)
- Concentrated systems (1)
- Concentrating solar power (1)
- Corneo-scleral shell (1)
- Cross-platform (1)
- DLR-ESTEC GOSSAMER roadmap for solar sailing (1)
- Deep learning (1)
- Deuterated solvents (1)
- Deuterium NMR (1)
- Differential tonometry (1)
- Drinfeld modules (1)
- EEG (1)
- ESATAN (1)
- Earthquake (1)
- Earthquake Engineering (1)
- Emissions (1)
- Empirical process (1)
- Enterprise Architecture (1)
- Environmental impact (1)
- Error Recovery (1)
- Evaluation (1)
- Eyeball (1)
- Flame residence time (1)
- Flame temperature (1)
- Frame structure (1)
- Frequency Doubler (1)
- Frequency mixing magnetic detection (1)
- Freshmen (1)
- Fresnel power plant (1)
- Fuel-flexibility (1)
- Functional Delta Method (1)
- GEO (1)
- GOSSAMER-1 (1)
- GPU (1)
- Game-based learning (1)
- Gamification (1)
- Gas turbine (1)
- Gas turbine combustion (1)
- Glaucoma (1)
- HVAC (1)
- Hadamard differentiability (1)
- Harmonic Radar (1)
- Helmholtz equation (1)
- Heparin (1)
- Heuristic algorithms (1)
- Hilbert Room (1)
- Hyperdifferentials (1)
- IR (1)
- IR spectroscopy (1)
- IT security education (1)
- ITS (1)
- Impedance Spectroscopy (1)
- Implementation Case (1)
- In- plane damage (1)
- Infused Thermal Solutions (1)
- Interior Neumann eigenvalues (1)
- Keyword analysis (1)
- LEO (1)
- LPS (1)
- Label-free detection (1)
- Langevin theory (1)
- LiDAR (1)
- Lightning protection system (1)
- Linear discriminant analysis (1)
- MUT measurement; scanner (1)
- Machine learning (1)
- Magnetic nanoparticles (1)
- Manufacturer (1)
- Masonry infill (1)
- Micromagnetic simulation (1)
- Micromix (1)
- Mixed-integer nonlinear programming (1)
- Mobile web (1)
- Modelica (1)
- Multi-storey (1)
- Muscle Fascicle (1)
- Muscle Force (1)
- NOx (1)
- Natural language processing (1)
- Nonequilibrium dynamics (1)
- Numerics (1)
- Ocular blood flow (1)
- Operators (1)
- Optimization (1)
- Out-of-plane failure (1)
- Out-of-plane strength (1)
- PWA (1)
- Paired sample (1)
- Parasitic drag (1)
- Piping (1)
- Plant virus (1)
- Postulates (1)
- Potential theory (1)
- Powertrain (1)
- Pressure-volume relationship (1)
- Process model (1)
- Progressive Web App (1)
- Quantenmechanik (1)
- RVA (1)
- Radar (1)
- Rescue System (1)
- Resilience (1)
- Robotic Process Automation (1)
- Robotic process automation (1)
- SFCW (1)
- Schrödingers cat (1)
- Seismic loading (1)
- Septic cardiomyopathy (1)
- Sharing mobility (1)
- Simulation (1)
- Skeletal muscle (1)
- Sleep EEG (1)
- Small Aral Sea (1)
- Small spacecraft (1)
- Smart Building Engineering (1)
- Soft independent modeling of class analogy (1)
- Solar sail (1)
- Standardization (1)
- Stiffness (1)
- TMV adsorption (1)
- Tag (1)
- Tank (1)
- Ta₂O₅ gate (1)
- Tendon Rupture (1)
- Tendons (1)
- Three-dimensional displays (1)
- Tobacco mosaic virus (TMV) (1)
- Transcendence (1)
- Transponder (1)
- UAV (1)
- Ultrasound (1)
- Unreinforced masonry walls (1)
- VOP compression (1)
- Validation (1)
- Vascular response (1)
- Visual field asymmetry (1)
- Water distribution system (1)
- Zeta potential (1)
- acetoin (1)
- acetoin reductase (1)
- actin cytoskeleton (1)
- actuator-sensor system (1)
- additive manufactureing (1)
- alcoholic beverages (1)
- applications (1)
- artificial intelligence (1)
- autonomous navigation (1)
- bioburdens (1)
- biopotential electrodes (1)
- biosensors (1)
- body imaging at UHF MRI (1)
- building energy modelling (1)
- building energy simulation (1)
- business culture (1)
- business models (1)
- business process automation (1)
- capacitive EIS sensor (1)
- capacitive electrolyte–insulator–semiconductor sensors (1)
- capacitive field-effect sensors (1)
- cardiomyocyte biomechanics (1)
- change (1)
- colorization (1)
- combustor (1)
- combustor development (1)
- commercial offthe- shelf solutions (1)
- construction (1)
- control gate (1)
- crop yield (1)
- culpability (1)
- cyber physical production system (1)
- cyber-physical production systems (1)
- detection of charged macromolecules (1)
- digital factory (1)
- digital shadow (1)
- digitalization (1)
- dissemination (1)
- do-it-yourself (1)
- down-conductor (1)
- drop jump (1)
- early warning and response system (1)
- ecological structure (1)
- education (1)
- electrically driven compressors (1)
- embedded hardware (1)
- emote practical training (1)
- energy transition (1)
- engine demonstration (1)
- enzymatic biosensor (1)
- enzyme kinetics (1)
- equivalent circuit (1)
- event-based simulation (1)
- field-effect sensor (1)
- food production (1)
- fragility curves (1)
- frequency mixing magnetic detection (1)
- fuel cell (1)
- fuels (1)
- gait (1)
- gas turbine (1)
- genetic algorithm (1)
- glass (1)
- global optimization (1)
- gold nanoparticles (1)
- graphene oxide (1)
- harmonic radar tags (1)
- heat demand (1)
- heat transfer coefficient (1)
- humic acid (1)
- hyper-gravity (1)
- hypo-gravity (1)
- industrial agents (1)
- industrial gas turbine (1)
- information systems (1)
- integrated transmit coil arrays (1)
- integration SHM in BIM (1)
- interconnected sensor systems (1)
- internal combustion engine (1)
- internet of production (1)
- intraclass correlation coefficient (1)
- large-scale inspection (1)
- laser based powder fusion (1)
- latent heat (1)
- lattice (1)
- layer-by-layer technique (1)
- liability (1)
- light-addressable electrode (1)
- light-addressable potentiometric sensor (1)
- lignite (1)
- lockdown conditions (1)
- locomotion (1)
- low-rank coal (1)
- magnetic nanoparticles (1)
- masonry structures (1)
- metagenomics (1)
- metal façade (1)
- microbial diversity (1)
- microfluidics (1)
- microwave measurements (1)
- mobile manipulation (1)
- mobility behaviour (1)
- model-predictive control (1)
- motivation (1)
- multi-agent systems (1)
- multianalyte detection (1)
- multiplex detection (1)
- muscle fascicle behavior (1)
- muscle mechanics (1)
- nanomaterials (1)
- nonlinear VNA measurements (1)
- nonlinear radar (1)
- on-chip integrated addressable EISCAP sensors (1)
- open educational resources (1)
- parabolic flight (1)
- passive thermal control (1)
- penicillin (1)
- penicillinase (1)
- photoelectrochemistry (1)
- plant virus detection (1)
- polyaniline (1)
- polystyrene sulfonate (1)
- prefabrication (1)
- qNMR (1)
- rehabilitation (1)
- remote teamwork (1)
- renewable energies (1)
- research framework (1)
- roleplay (1)
- running (1)
- sarcomere operating length (1)
- seismic risk (1)
- seismic structural damage detection via SHM (1)
- seismic vulnerability (1)
- sensor networks (1)
- sensors (1)
- series elastic element behavior (1)
- shotgun sequencing (1)
- shoulder (1)
- small and medium scaled companies (1)
- smart building engineering (1)
- smart engineering (1)
- software evaluation (1)
- software selection (1)
- soil amendment (1)
- soil health (1)
- soil remediation (1)
- sprint start (1)
- standard error of measurement (1)
- star tracker (1)
- steel columns (1)
- sterility tests (1)
- sterilization efficacy (1)
- sterilization methods (1)
- stochastic optimization (1)
- storage dispatch (1)
- storage optimisation (1)
- stretch reflex (1)
- subroutine (1)
- surface-orthogonal path planning (1)
- sustainability (1)
- t-modules (1)
- technology (1)
- test-retest reliability (1)
- thermal storage (1)
- thermo-physical (1)
- titanium dioxide photoanode (1)
- tobacco mosaic virus (TMV) (1)
- touch voltage (1)
- transponder (1)
- ultrasonography (1)
- ultrasound imaging (1)
- unloading (1)
- urban farming (1)
- user & usage (1)
- validation methods (1)
- virtual reality (1)
- walking (1)
- wind turbine production (1)
In this study, a recently proposed NMR standardization approach by 2H integral of deuterated solvent for quantitative multicomponent analysis of complex mixtures is presented. As a proof of principle, the existing NMR routine for the analysis of Aloe vera products was modified. Instead of using absolute integrals of targeted compounds and internal standard (nicotinamide) from 1H-NMR spectra, quantification was performed based on the ratio of a particular 1H-NMR compound integral and 2H-NMR signal of deuterated solvent D2O. Validation characteristics (linearity, repeatability, accuracy) were evaluated and the results showed that the method has the same precision as internal standardization in case of multicomponent screening. Moreover, a dehydration process by freeze drying is not necessary for the new routine. Now, our NMR profiling of A. vera products needs only limited sample preparation and data processing. The new standardization methodology provides an appealing alternative for multicomponent NMR screening. In general, this novel approach, using standardization by 2H integral, benefits from reduced sample preparation steps and uncertainties, and is recommended in different application areas (purity determination, forensics, pharmaceutical analysis, etc.).
In this paper, we present the structure, the simulation the operation of a multi-stage, hybrid solar desalination system (MSDH), powered by thermal and photovoltaic (PV) (MSDH) energy. The MSDH system consists of a lower basin, eight horizontal stages, a field of four flat thermal collectors with a total area of 8.4 m2, 3 Kw PV panels and solar batteries. During the day the system is heated by thermal energy, and at night by heating resistors, powered by solar batteries. These batteries are charged by the photovoltaic panels during the day. More specifically, during the day and at night, we analyse the temperature of the stages and the production of distilled water according to the solar irradiation intensity and the electric heating power, supplied by the solar batteries. The simulations were carried out in the meteorological conditions of the winter month (February 2020), presenting intensities of irradiance and ambient temperature reaching 824 W/m2 and 23 °C respectively. The results obtained show that during the day the system is heated by the thermal collectors, the temperature of the stages and the quantity of water produced reach 80 °C and 30 Kg respectively. At night, from 6p.m. the system is heated by the electric energy stored in the batteries, the temperature of the stages and the quantity of water produced reach respectively 90 °C and 104 Kg for an electric heating power of 2 Kw. Moreover, when the electric power varies from 1 Kw to 3 Kw the quantity of water produced varies from 92 Kg to 134 Kg. The analysis of these results and their comparison with conventional solar thermal desalination systems shows a clear improvement both in the heating of the stages, by 10%, and in the quantity of water produced by a factor of 3.
In positron emission tomography improving time, energy and spatial detector resolutions and using Compton kinematics introduces the possibility to reconstruct a radioactivity distribution image from scatter coincidences, thereby enhancing image quality. The number of single scattered coincidences alone is in the same order of magnitude as true coincidences. In this work, a compact Compton camera module based on monolithic scintillation material is investigated as a detector ring module. The detector interactions are simulated with Monte Carlo package GATE. The scattering angle inside the tissue is derived from the energy of the scattered photon, which results in a set of possible scattering trajectories or broken line of response. The Compton kinematics collimation reduces the number of solutions. Additionally, the time of flight information helps localize the position of the annihilation. One of the questions of this investigation is related to how the energy, spatial and temporal resolutions help confine the possible annihilation volume. A comparison of currently technically feasible detector resolutions (under laboratory conditions) demonstrates the influence on this annihilation volume and shows that energy and coincidence time resolution have a significant impact. An enhancement of the latter from 400 ps to 100 ps leads to a smaller annihilation volume of around 50%, while a change of the energy resolution in the absorber layer from 12% to 4.5% results in a reduction of 60%. The inclusion of single tissue-scattered data has the potential to increase the sensitivity of a scanner by a factor of 2 to 3 times. The concept can be further optimized and extended for multiple scatter coincidences and subsequently validated by a reconstruction algorithm.
The progress in natural language processing (NLP) research over the last years, offers novel business opportunities for companies, as automated user interaction or improved data analysis. Building sophisticated NLP applications requires dealing with modern machine learning (ML) technologies, which impedes enterprises from establishing successful NLP projects. Our experience in applied NLP research projects shows that the continuous integration of research prototypes in production-like environments with quality assurance builds trust in the software and shows convenience and usefulness regarding the business goal. We introduce STAMP 4 NLP as an iterative and incremental process model for developing NLP applications. With STAMP 4 NLP, we merge software engineering principles with best practices from data science. Instantiating our process model allows efficiently creating prototypes by utilizing templates, conventions, and implementations, enabling developers and data scientists to focus on the business goals. Due to our iterative-incremental approach, businesses can deploy an enhanced version of the prototype to their software environment after every iteration, maximizing potential business value and trust early and avoiding the cost of successful yet never deployed experiments.
The treatment method to deactivate viable microorganisms from objects or products is termed sterilization. There are multiple forms of sterilization, each intended to be applied for a specific target, which depends on—but not limited to—the thermal, physical, and chemical stability of that target. Herein, an overview on the currently used sterilization processes in the global market is provided. Different sterilization techniques are grouped under a category that describes the method of treatment: radiation (gamma, electron beam, X-ray, and ultraviolet), thermal (dry and moist heat), and chemical (ethylene oxide, ozone, chlorine dioxide, and hydrogen peroxide). For each sterilization process, the typical process parameters as defined by regulations and the mode of antimicrobial activity are summarized. Finally, the recommended microorganisms that are used as biological indicators to validate sterilization processes in accordance with the rules that are established by various regulatory agencies are summarized.
This chapter describes three general strategies to master uncertainty in technical systems: robustness, flexibility and resilience. It builds on the previous chapters about methods to analyse and identify uncertainty and may rely on the availability of technologies for particular systems, such as active components. Robustness aims for the design of technical systems that are insensitive to anticipated uncertainties. Flexibility increases the ability of a system to work under different situations. Resilience extends this characteristic by requiring a given minimal functional performance, even after disturbances or failure of system components, and it may incorporate recovery. The three strategies are described and discussed in turn. Moreover, they are demonstrated on specific technical systems.
The course Physics for Electrical Engineering is part of the curriculum of the bachelor program Electrical Engineering at University of Applied Science Aachen.
Before covid-19 the course was conducted in a rather traditional way with all parts (lecture, exercise and lab) face-to-face. This teaching approach changed fundamentally within a week when the covid-19 limitations forced all courses to distance learning. All parts of the course were transformed to pure distance learning including synchronous and asynchronous parts for the lecture, live online-sessions for the exercises and self-paced labs at home. Using these methods, the course was able to impart the required knowledge and competencies. Taking the teacher’s observations of the student’s learning behaviour and engagement, the formal and informal feedback of the students and the results of the exams into account, the new methods are evaluated with respect to effectiveness, sustainability and suitability for competence transfer. Based on this analysis strong and weak points of the concept and countermeasures to solve the weak points were identified. The analysis further leads to a sustainable teaching approach combining synchronous and asynchronous parts with self-paced learning times that can be used in a very flexible manner for different learning scenarios, pure online, hybrid (mixture of online and presence times) and pure presence teaching.
The transition within transportation towards battery electric vehicles can lead to a more sustainable future. To account for the development goal ‘climate action’ stated by the United Nations, it is mandatory, within the conceptual design phase, to derive energy-efficient system designs. One barrier is the uncertainty of the driving behaviour within the usage phase. This uncertainty is often addressed by using a stochastic synthesis process to derive representative driving cycles and by using cycle-based optimization. To deal with this uncertainty, a new approach based on a stochastic optimization program is presented. This leads to an optimization model that is solved with an exact solver. It is compared to a system design approach based on driving cycles and a genetic algorithm solver. Both approaches are applied to find efficient electric powertrains with fixed-speed and multi-speed transmissions. Hence, the similarities, differences and respective advantages of each optimization procedure are discussed.
In the context of the Solvency II directive, the operation of an internal risk model is a possible way for risk assessment and for the determination of the solvency capital requirement of an insurance company in the European Union. A Monte Carlo procedure is customary to generate a model output. To be compliant with the directive, validation of the internal risk model is conducted on the basis of the model output. For this purpose, we suggest a new test for checking whether there is a significant change in the modeled solvency capital requirement. Asymptotic properties of the test statistic are investigated and a bootstrap approximation is justified. A simulation study investigates the performance of the test in the finite sample case and confirms the theoretical results. The internal risk model and the application of the test is illustrated in a simplified example. The method has more general usage for inference of a broad class of law-invariant and coherent risk measures on the basis of a paired sample.