Conference Proceeding
Refine
Year of publication
Institute
- Fachbereich Elektrotechnik und Informationstechnik (234)
- Fachbereich Medizintechnik und Technomathematik (212)
- Fachbereich Luft- und Raumfahrttechnik (183)
- Fachbereich Energietechnik (177)
- IfB - Institut für Bioengineering (148)
- Solar-Institut Jülich (110)
- Fachbereich Maschinenbau und Mechatronik (107)
- Fachbereich Bauingenieurwesen (75)
- Fachbereich Wirtschaftswissenschaften (55)
- ECSM European Center for Sustainable Mobility (53)
Language
- English (1170) (remove)
Document Type
- Conference Proceeding (1170) (remove)
Keywords
- Biosensor (25)
- CAD (7)
- Finite-Elemente-Methode (7)
- civil engineering (7)
- Bauingenieurwesen (6)
- Blitzschutz (6)
- Enterprise Architecture (5)
- Clusterion (4)
- Energy storage (4)
- Gamification (4)
- Leadership (4)
- Limit analysis (4)
- Natural language processing (4)
- Power plants (4)
- Sonde (4)
- Telekommunikationsmarkt (4)
- hydrogen (4)
- solar sail (4)
- Air purification (3)
- Associated liquids (3)
- Concentrated solar power (3)
- Einspielen <Werkstoff> (3)
- Eisschicht (3)
- Elektromagnetischer Schutzschild (3)
- Führung (3)
- Hybrid energy system (3)
- Hämoglobin (3)
- Lightning (3)
- Luftreiniger (3)
- MASCOT (3)
- Out-of-plane load (3)
- Plasmacluster ion technology (3)
- Raumluft (3)
- Shakedown analysis (3)
- Training (3)
- earthquakes (3)
- education (3)
- shakedown analysis (3)
- Additive manufacturing (2)
- Adjacent buildings (2)
- Bruchmechanik (2)
- Case Study (2)
- Clustering (2)
- Deep learning (2)
- Digital Twin (2)
- Direkter Blitzschlag (2)
- Diversity (2)
- Diversity Management (2)
- Electricity generation (2)
- Energy (2)
- Engineering education (2)
- Engineering optimization (2)
- Erneuerbare Energien (2)
- Erythrozyt (2)
- FEM (2)
- Future Skills (2)
- GOSSAMER-1 (2)
- Historical centres (2)
- Hybridsystem (2)
- Hydrogen (2)
- INODIS (2)
- IO-Link (2)
- Induzierte Spannungen (2)
- Information extraction (2)
- Innovation Management (2)
- Interdisciplinarity (2)
- Kohlenstofffaser (2)
- L-PBF (2)
- Lightning protection (2)
- Lightning protection system (2)
- Lipopolysaccharide (2)
- MINLP (2)
- Machine Learning (2)
- Magnetische Felder (2)
- Micromix (2)
- NOx emissions (2)
- Natural Language Processing (2)
- PCM (2)
- Renewable energy (2)
- Risikoabwägung (2)
- Robotic Process Automation (2)
- Seismic loading (2)
- Serious Game (2)
- Serious Games (2)
- Shake table test (2)
- Shakedown (2)
- Solar thermal technologies (2)
- Spacecraft (2)
- Stickstoffmonoxid (2)
- Stone masonry (2)
- Sustainability (2)
- Text Mining (2)
- Text mining (2)
- Trajectory Optimization (2)
- UAV (2)
- Ventilation System (2)
- Water distribution system (2)
- autonomous driving (2)
- biosensor (2)
- building information modelling (2)
- celldrum technology (2)
- combustor development (2)
- cyber physical production system (2)
- digital shadow (2)
- electro mobility (2)
- electromagnetic shielding (2)
- engineering education (2)
- fuels (2)
- industrial facilities (2)
- industrial gas turbine (2)
- installations (2)
- limit analysis (2)
- lipopolysaccharides (2)
- multiple NEA rendezvous (2)
- nitric oxide gas (2)
- piping (2)
- regulation (2)
- reinforced concrete (2)
- seismic design (2)
- seismic loading (2)
- small spacecraft (2)
- technology transfer (2)
- 10BASE-T1L (1)
- 3-nitrofluoranthene (1)
- 3D object detection (1)
- 3D printing (1)
- 3D-printing (1)
- Acceptance (1)
- Accuracy (1)
- Active learning (1)
- Adaptive Systems (1)
- Additive Manufacturing (1)
- Adsorption (1)
- Agent-based modeling (1)
- Agent-based simulation (1)
- Agile development (1)
- Agility (1)
- Aircraft design (1)
- Analytical models (1)
- Analytischer Zulaessigkeitsnachweis (1)
- Anastomose (1)
- Anastomosis (1)
- Android (1)
- Angle Sensor (1)
- Anomaly detection (1)
- Ansaugsystem (1)
- Antarctica (1)
- Arduino (1)
- Artificial Intelligence (1)
- Assessment (1)
- Asset Administration Shell (1)
- Asteroid Deflection (1)
- Attitude dynamics (1)
- Audio-visual Art (1)
- Augmented Reality (1)
- Autofluoreszenzverfahren (1)
- Automated Optimization (1)
- Automation (1)
- Awareness (1)
- BIM (1)
- BTEX compounds (1)
- Bakterien (1)
- Binder Jetting (1)
- Bio-Sensors (1)
- Biomechanics (1)
- Biomechanik (1)
- Biomedizinische Technik (1)
- Biophoton (1)
- Biosensorik (1)
- Blind prediction competition (1)
- Blitz (1)
- Blitzrisiko (1)
- Blitzschlag (1)
- Bloom Taxonomy (1)
- Breitband Markt (1)
- Building Automation (1)
- Building Systems (1)
- Bumblebees (1)
- Bundesnetzagentur (1)
- Business Engineering (1)
- Business Process (1)
- Business Process Intelligence (1)
- Business Simulations (1)
- CAD ; (1)
- CDG (1)
- CEO career variety (1)
- CFD (1)
- CO (1)
- CO2 (1)
- COMSOL Multiphysics (1)
- Camera system (1)
- Capacity Building Higher Education (1)
- Capacity Curve (1)
- Carbon Dioxide (1)
- Case study (1)
- Ceramics (1)
- Challenges (1)
- Chance constrained programming (1)
- Change Management (1)
- Cloud Computing (1)
- Cloud Service Broker (1)
- Cloud passages (1)
- Coaching (1)
- Communication (1)
- Comparative simulation (1)
- Competence Developing Game (1)
- Competence Developing Games (1)
- Computational modeling (1)
- Conducing polymer (1)
- Connected Automated Vehicle (1)
- Conpot (1)
- Control (1)
- Control engineering (1)
- Control optimization (1)
- Cooling system (1)
- Corporate Culture (1)
- Correlations (1)
- Cryptographic protocols (1)
- Customer Orientation (1)
- DC machines (1)
- DNI forecast (1)
- DNI forecasting (1)
- Data analysis (1)
- Data visualization (1)
- Database (1)
- Datasets (1)
- Dattel (1)
- Decision theory (1)
- Dekontamination (1)
- Design Thinking (1)
- Design rules (1)
- Digital Age (1)
- Digital Twin Evolution (1)
- Digital Twins (1)
- Digital transformation (1)
- Digital triage (1)
- Digital twin (1)
- Digitalization (1)
- Direct lightning strike (1)
- Direct normal irradiance forecast (1)
- Directed Energy Deposition (1)
- Discrete Optimisation (1)
- District data model (1)
- District energy planning platform (1)
- Drag (1)
- Drinking Water Supply (1)
- ECT (1)
- EEG (1)
- EN 1998-4 (1)
- EPN (1)
- ESATAN (1)
- ESHM20, industrial facilities (1)
- Earthquake (1)
- Earthquake Engineering (1)
- Education (1)
- Efficiency (1)
- Efficiency optimization (1)
- Einspiel-Analyse (1)
- Einspielanalyse (1)
- Elastodynamik (1)
- Electrical Flight (1)
- Electrocardiography (1)
- Electrochemistry (1)
- Electronic Commerce (1)
- Electronic learning (1)
- Elektrodynamik (1)
- Elektromagnetische Kopplung (1)
- Elektronische Kunst (1)
- Elicit (1)
- Emissions (1)
- Endothelzelle (1)
- Energietechnik (1)
- Energy Disaggregation (1)
- Energy Systems (1)
- Energy dispatch (1)
- Energy efficiency (1)
- Energy market (1)
- Energy market design (1)
- Energy system (1)
- Energy system planning (1)
- Engineering (1)
- Engineering Education (1)
- Engineering optimisation (1)
- Erasmus+ United (1)
- Error Recovery (1)
- Ethernet (1)
- Ethics (1)
- European Framework and South East Asia (1)
- Evolution of damage (1)
- Evolutionary Neurocontrol (1)
- Exact Ilyushin yield surface (1)
- Experimental validation (1)
- Extension fracture (1)
- Extension strain criterion (1)
- FPGA (1)
- Festkörper (1)
- Fibroblast (1)
- Field device (1)
- Finite element method (1)
- First Order Reliabiblity Method (1)
- First-order reliability method (1)
- Flame residence time (1)
- Flame temperature (1)
- Flight Mechanics (1)
- Flight Tests (1)
- Flight control (1)
- Fluorescence (1)
- Focusing (1)
- Force (1)
- Frequency Doubler (1)
- Freshmen (1)
- Fuel-flexibility (1)
- Future skills (1)
- Führungsansätze (1)
- GEO (1)
- GPU (1)
- GaAs hot electron injector (1)
- Gas sensor (1)
- Gas turbine combustion (1)
- Gasturbine (1)
- Gender (1)
- Geometry (1)
- Glass powder (1)
- Global change (1)
- Gossamer (1)
- Gossamer structures (1)
- Graph Theory (1)
- Green aircraft (1)
- Grid Computing (1)
- Guide Tube (1)
- Guidelines (1)
- Gunn diode (1)
- HVAC (1)
- Hand-on-training (1)
- Harmonic Radar (1)
- Heavy metal detection (1)
- Heliostat Field Calibration (1)
- Heliostats (1)
- Heuristic algorithms (1)
- High throughput experimentation (1)
- Higher Education (1)
- Home Assistant (1)
- Home Automation Platform (1)
- Hotplate (1)
- Human factors (1)
- Human-robot collaboration (1)
- Humidity (1)
- Hybrid Art (1)
- Hybrid Propellants (1)
- Hybrid-electric aircraft (1)
- Hybride Kunst (1)
- Hydrodynamik (1)
- Hydrogel (1)
- Hydrogen sensor (1)
- I3S 2005 (1)
- ICS (1)
- ISFET (1)
- ITS (1)
- Image Database (1)
- Image Forensics (1)
- Impedance Spectroscopy (1)
- Implementation Case (1)
- In- plane damage (1)
- In-plane (1)
- In-plane load (1)
- Incremental Encoder (1)
- Industrial Communication (1)
- Industrial facilities (1)
- Industrial optimisation (1)
- Industrieanlagen (1)
- Industry 4.0 (1)
- Inflight Regeneration, Recuperation (1)
- Information Extraction (1)
- Infused Thermal Solutions (1)
- Innovation (1)
- Instagram store (1)
- Instruments (1)
- Interaction (1)
- Interculturality (1)
- International Symposium on Sensor Science (1)
- Internet (1)
- Interplanetary flight (1)
- Isolation (1)
- Iterative learning control (1)
- Jupiter (1)
- Kalkulation (1)
- Kalman filter (1)
- Kernenergie (1)
- Key competences (1)
- Klangkunst (1)
- Knee (1)
- Knowledge Transfer (1)
- Kommunikation (1)
- Kraftwerke (1)
- Körpertemperatur (1)
- LED chip (1)
- LEO (1)
- LPBF (1)
- LQR (1)
- Labyfrinth weirs (1)
- Laminare Strömung (1)
- Laminarprofil (1)
- Large Eddy Simulation (1)
- Laser processing (1)
- Laser-Powder Bed Fusion (1)
- Latin Hypercube Sampling (1)
- Leadership Approaches (1)
- Leadership Theories (1)
- Level sensor (1)
- LiDAR (1)
- Lichtstreuungsbasierte Instrumente (1)
- Lightning Protection (1)
- Lightning Risk (1)
- Literature review (1)
- LiveLink for MATLAB (1)
- Load modeling (1)
- Low voltage (1)
- Low-Thrust Propulsion (1)
- MATLAB , MLPI , Motion control , Open Core , industrial drives , rapid control prototypin , sercos automation bus (1)
- MAV (1)
- MEMS (1)
- MEMS ; education and training foundry (1)
- MPC (1)
- Machine learning (1)
- Main sensitivity (1)
- Malaysian Automotive Industry (1)
- Malaysian automotive industry (1)
- Malicious model (1)
- Manifolds (1)
- Map (eTOM) Process reference model Process design Telecommunications industry (1)
- Market modeling (1)
- Mars (1)
- Masonry infill (1)
- Masonry structures (1)
- Matlab (1)
- Maßstabsgetreues Modell (1)
- Measurement (1)
- Measuring instruments (1)
- Mechanische Beanspruchung (1)
- Medienkunst (1)
- Melting (1)
- Micro turbine (1)
- Microreactors (1)
- Mikrogasturbine (1)
- Minimum Risk Manoeuvre (1)
- Mixed integer linear programming (MILP) (1)
- Mixed-Integer Nonlinear Optimisation (1)
- Mixed-integer nonlinear programming (1)
- Mixed-integer programming (1)
- Mobile Phones (1)
- Mohr–Coulomb criterion (1)
- Molten salt receiver (1)
- Molten salt receiver system, (1)
- Monitoring (1)
- Motivation (1)
- Mpc (1)
- Multi-agent Systems (1)
- Multi-dimensional wave propagation (1)
- Multiphase (1)
- NOx (1)
- Nano Materials (1)
- Nanomaterial (1)
- Nanoparticles (1)
- Nanopartikel (1)
- Nanostructuring (1)
- Nanotechnologie (1)
- Nanotechnology ; Microelectronics ; Biosensors ; Superconductor ; MEMS (1)
- Natriumhypochlorit (1)
- Natural language understanding (1)
- Navigation (1)
- Neo-Deterministic (1)
- Network design (1)
- Neural networks (1)
- Next Generation Network (1)
- Nichtlineare Gleichung (1)
- Nichtlineare Optimierung (1)
- Nichtlineare Welle (1)
- Nowcasting (1)
- Nozzle (1)
- Nuclear Applications (1)
- OR 2019 (1)
- Obstacle avoidance (1)
- Online services (1)
- Open Data (1)
- Open Source (1)
- Open source (1)
- Operational Design Domain (1)
- Optimal Topology (1)
- Optimization (1)
- Optimization module (1)
- Orbital dynamics (1)
- Organophosphorus (1)
- Ostazine Orange (1)
- Out-of-plane (1)
- Out-of-plane failure (1)
- Out-of-plane strength (1)
- PEM fuel cells (1)
- PFM (1)
- PHILAE (1)
- PLS (1)
- PPO (1)
- PTC (1)
- Parabolic trough collector (1)
- Parametric Design (1)
- Parametric Modelling (1)
- Path-following (1)
- Performance (1)
- Personality (1)
- Pflanzenphysiologie (1)
- Pflanzenscanner (1)
- Phenylalanine determination (1)
- Photovoltaics (1)
- Photovoltaikanlage (1)
- Piecewise Linearization (1)
- Piecewise linearization (1)
- Planetary Protection (1)
- Planetary exploration (1)
- Player Types (1)
- Position Encoder (1)
- Potentiometry (1)
- Powder Material (1)
- Power dissipation (1)
- Powertrain (1)
- Preface (1)
- Privacy-enhancing technologies (1)
- Process Model Extraction (1)
- Process design (1)
- Process engineering (1)
- Process mining (1)
- Process model (1)
- Process optimization (1)
- Process prediction (1)
- Process reference model (1)
- Profile Extraction (1)
- Profile extraction (1)
- Profilumströmung (1)
- Propeller Aerodynamics (1)
- Proteine (1)
- Prototype (1)
- Provocative Coaching (1)
- Provocative Style (1)
- Provokativer Stil (1)
- Pseudomonas putida (1)
- Pump System (1)
- Pyrometrie (1)
- Quadrocopter (1)
- Quality control (1)
- Quantum Computing (1)
- Quantum Machine Learning (1)
- Quartz crystal nanobalance (QCN) (1)
- Quartz micro balances (1)
- Query learning (1)
- RC frames (1)
- RaWid (1)
- Random variable (1)
- Rapid-prototyping (1)
- Ratcheting (1)
- Reaction-diffusion (1)
- Reference Process Model (1)
- Refining (1)
- Regulierung (1)
- Reinforcement Learning (1)
- Relation classification (1)
- Relative exploration orientation (1)
- Reliability of structures (1)
- Renewable energy integration (1)
- Renewable energy sources (1)
- Reproducible research (1)
- Rescue System (1)
- Research process (1)
- Resilience (1)
- Resilience Assessment (1)
- Resilience assessment (1)
- Resilience metric graph theory (1)
- Resilient infrastructure (1)
- Reusable Rocket Engines (1)
- Risiko (1)
- Risk (1)
- Risk Assessment (1)
- Risk Management (1)
- Rotational Encoder (1)
- Rotatory Inverted Pendulum (1)
- SME (1)
- Secure multi-party computation (1)
- Seismic (1)
- Seismic Hazard (1)
- Seismic design (1)
- Self-Leadership (1)
- Sensitivity (1)
- Sensors (1)
- Sensors comparison (1)
- Sepsis (1)
- Sequence-Search (1)
- Sharing mobility (1)
- Similarity Theory (1)
- Simulation (1)
- Skill Assessment (1)
- Sleep EEG (1)
- Small Solar System Body Lander (1)
- Small Spacecraft (1)
- Smart Building (1)
- Smart Building Engineering (1)
- Social impact measurement (1)
- Society (1)
- Software (1)
- Software Robots (1)
- Software packages (1)
- Solar Power Sail (1)
- Solar Sail (1)
- Solar irradiance (1)
- Solar sail (1)
- Solid amalgam electrodes (1)
- Solver Per- formance (1)
- Sound Art (1)
- Spacecraft Trajectory Optimization (1)
- Stahlbeton (1)
- Stahlbetonkonstruktion (1)
- Star design (1)
- Statistics (1)
- Stochastic programming (1)
- Story (1)
- Stress testing (1)
- Structural health monitoring (1)
- Structuralist Architecture (1)
- Subject-oriented Business Process Management (1)
- Suction (1)
- Support System (1)
- Supraleiter (1)
- Sustainable engineering education (1)
- Synchronous machines (1)
- System Design Problem (1)
- TGA (1)
- TICTOP (1)
- TMT composition (1)
- TMT structure (1)
- TTIP (1)
- Tag (1)
- Tanks (1)
- Teamwork (1)
- Technical Operations Research (1)
- Technische Mechanik (1)
- Technologietransfer (1)
- Technology Transfer (1)
- Telecommunication (1)
- Telecommunication Industry (1)
- Telecommunications Industry. (1)
- Temperaturmessung (1)
- Text analytics (1)
- Thermal Energy Storage (1)
- Three-dimensional displays (1)
- Throughput (1)
- Time-series (1)
- Time-series aggregation (1)
- Time-series synchronization (1)
- Tin oxide (1)
- Tobacco mosaic virus (1)
- Traglast (1)
- Traglastanalyse (1)
- Transdisciplinarity (1)
- Transformation Project (1)
- Transformative Competencies (1)
- Transiton of Control (1)
- Transponder (1)
- Triage-app (1)
- Trustworthy artificial intelligence (1)
- Typical periods (1)
- UML (1)
- UTeM Engineering Knowledge Transfer Unit (1)
- Umwelt (1)
- Uncertainty analysis (1)
- Unified Modeling Language (1)
- Unmanned Air Vehicle (1)
- Unmanned aerial vehicle (1)
- Unreinforced masonry walls (1)
- V2X (1)
- Validation (1)
- Video Game (1)
- Virtual Technology Lab (1)
- Virtuelles Labor (1)
- Virtuelles Laboratorium (1)
- Vulnerability Curves (1)
- Wafer (1)
- Wasserbrücke (1)
- Wasserstoffperoxid (1)
- Water (1)
- Water Supply System (1)
- Water supply system (1)
- Wearable electronic device (1)
- Wellen (1)
- Wiegand Effect (1)
- Windenergieanlage (1)
- Window opening (1)
- Workflow (1)
- Workflow Orchestration (1)
- Zero-knowledge proofs (1)
- acetoin (1)
- acoustic pyrometry (1)
- activated nanostructured carbon (1)
- active learning (1)
- additive manufactureing (1)
- agile (1)
- aircraft engine (1)
- aktivierte nanostrukturierte Kohlenstofffaser (1)
- ammonia gas sensors (1)
- amperometric sensor (1)
- anticipation strategy (1)
- antimony doped tin oxide (1)
- asteroid lander (1)
- asteroid sample return (1)
- autofluorescence-based detection system (1)
- avalanche (1)
- aviation application (1)
- behaviour factor q (1)
- best practice (1)
- biopotential electrodes (1)
- broadband market (1)
- business analytics (1)
- business models (1)
- business simulation (1)
- calculations (1)
- capacitive field-effect biosensor (1)
- capillary micro-droplet cell (1)
- carcinogens (1)
- catalytic decomposition (1)
- chemical reduction method (1)
- collaboration of architects and structural engineers (1)
- combustion (1)
- combustor (1)
- competence developing games (1)
- connection detail (1)
- construction (1)
- contamination (1)
- contractile tension (1)
- control system (1)
- cross sensitivity (1)
- current distribution (1)
- cyber-physical production system (1)
- cybersecurity (1)
- cytosolic water diffusion (1)
- date palm tree (1)
- decision analytics (1)
- design-by-analysis (1)
- digital economy (1)
- digital twin (1)
- digitalization (1)
- dissemination (1)
- diversity (1)
- do-it-yourself (1)
- doped metal oxide (1)
- doped silicon (1)
- doping (1)
- down-conductor (1)
- eTOM (1)
- early warning and response system (1)
- earthquake (1)
- elastomeric bearing (1)
- electrical capacitance tomography (1)
- electrically driven compressors (1)
- electro-migration (1)
- electromagnetic coupling (1)
- electromagnetic shield (1)
- electronic communications markets (1)
- electronic noses dendronized polymers inverted mesa technology (1)
- embedded hardware (1)
- emission (1)
- emission index (1)
- emote practical training (1)
- energy disspation (1)
- energy transition (1)
- engine demonstration (1)
- enhanced Telecom Operations Map (eTOM) (1)
- environment (1)
- enzymatic methods (1)
- enzyme immobilisation (1)
- enzyme immobilization (1)
- fault detection (1)
- fenitrothion (1)
- finite element analysis (1)
- finite element method (1)
- flotilla missions (1)
- flue gas components (1)
- fluid structure interaction (1)
- fluidic (1)
- food production (1)
- fragility curves (1)
- friction (1)
- friction pendulum bearing (1)
- fuel cell (1)
- fuel cell systems (1)
- gas sensor (1)
- gas sensor array (1)
- gas turbine (1)
- gender and diversity (1)
- glass (1)
- habitability (1)
- health management systems (1)
- heater metallisation (1)
- heliosphere (1)
- hemoglobin (1)
- hemoglobin dynamics (1)
- high-temperature stability (1)
- honeynet (1)
- honeypot (1)
- human digital shadow (1)
- human factors (1)
- human-machine interface (1)
- humidity (1)
- hybrid laminar flow (1)
- hybrid system (1)
- hybrid-system (1)
- hydrogel (1)
- hydrogen peroxide (1)
- ice moons (1)
- icy moons (1)
- image sensor (1)
- imaging (1)
- impedance spectroscopy (1)
- in-plane (1)
- in-plane and out-of-plane failure (1)
- induced voltage (1)
- induced voltages (1)
- information systems (1)
- innovation (1)
- integration SHM in BIM (1)
- interconnected sensor systems (1)
- interdisciplinary student projects (1)
- internal combustion engine (1)
- internet of production (1)
- ion propulsion (1)
- ion-selective electrodes (1)
- kontraktile Spannung (1)
- lab work (1)
- lab-on-a-chip (1)
- lab-on-chip (1)
- laser based powder fusion (1)
- latent heat (1)
- lattice (1)
- layer expansion (1)
- learning theories (1)
- lenslet array (1)
- liberalisation (1)
- life detection (1)
- light scattering analysis (1)
- lightning flash (1)
- limit and shakedown analysis (1)
- limit load (1)
- linear elastic analysis; (1)
- linear kinematic hardening (1)
- liquid storage tank (1)
- lockdown conditions (1)
- low-thrust (1)
- low-thrust trajectory optimization (1)
- lower bound theorem (1)
- magnetic field (1)
- magnetic fields (1)
- magnetic particles (1)
- masonry structures (1)
- material shakedown (1)
- mathematical optimization (1)
- matrix method (1)
- mechanical waves (1)
- metal façade (1)
- metal oxide (1)
- metrological characterization (1)
- microreactor (1)
- microwave generation (1)
- mobility behaviour (1)
- model-predictive control (1)
- modeling biosensor (1)
- modelling (1)
- modern constructions (1)
- modified electrode (1)
- motivation theories (1)
- multi-interface measurement (1)
- nanostructured carbonized plant parts (1)
- nanostrukturierte carbonisierte Pflanzenteile (1)
- near-Earth asteroid (1)
- next generation access networks (1)
- nitric oxides (1)
- nitrogen oxides (1)
- nonlinear kinematic hardening (1)
- nonlinear optimization (1)
- nonlinear solids (1)
- nonlinear tensor constitutive equation (1)
- open educational resources (1)
- operational aspects (1)
- organic PVC membranes (1)
- out-of-plane (1)
- overvoltages (1)
- pH-based biosensing (1)
- passive inter-modulation (1)
- passive thermal control (1)
- pattern-size reduction (1)
- perception of structures (1)
- photovoltaic system (1)
- planetary defence (1)
- plant scanner (1)
- plasma generated ions (1)
- polymer composites (1)
- porous Pt electrode (1)
- power integrity (1)
- prefabrication (1)
- principal component (1)
- probabilistic fracture mechanics (1)
- professional skills (1)
- protection measures (1)
- protein (1)
- purchase factor (1)
- quantum charging (1)
- ratchetting (1)
- reliability (1)
- remote teamwork (1)
- renewable energies (1)
- renewable energy (1)
- requirements (1)
- responsive space (1)
- rhAPC (1)
- risk assessment (1)
- risk sharing (1)
- roleplay (1)
- safety control (1)
- sample return (1)
- scaled model (1)
- screen-printing (1)
- second-order reliability method (1)
- seismic hazard (1)
- seismic isolation (1)
- seismic risk (1)
- seismic structural damage detection via SHM (1)
- seismic vulnerability (1)
- self-aligned patterning (1)
- sensing properties (1)
- sensor networks (1)
- sensors (1)
- shakedown (1)
- shopping behavior (1)
- signal integrity (1)
- simplified approach (1)
- small and medium scaled companies (1)
- small solar system body characterisation (1)
- small spacecraft asteroid lander (1)
- small spacecraft solar sail (1)
- smart building engineering (1)
- smart engineering (1)
- snow (1)
- social responsible engineering (1)
- software engineering (1)
- solar sails (1)
- solar system (1)
- space missions (1)
- star tracker (1)
- steam production (1)
- steel columns (1)
- sterilisation (1)
- storage dispatch (1)
- storage optimisation (1)
- structural equation model (1)
- structural systems (1)
- subglacial aquatic ecosystems (1)
- subroutine (1)
- subsurface ice (1)
- subsurface ice research (1)
- subsurface probe (1)
- suction structure (1)
- suction systems (1)
- surface modification (1)
- sustainability (1)
- swift heavy ions (1)
- system engineering (1)
- systematic literature review (1)
- tablet game (1)
- teaching (1)
- teaching of structures (1)
- technology diffusion (1)
- temperature measurement (1)
- thermal storage (1)
- thermo-physical (1)
- thick-film technology (1)
- thin-film microsensors (1)
- touch voltage (1)
- underwater vehicle (1)
- unreinforced masonry buildings (1)
- upper echelons theory (1)
- urban farming (1)
- user & usage (1)
- virtual reality (1)
- vocal fold oscillation (1)
- voltammetry (1)
- wafer-level testing (1)
- water bridge phenomenon (1)
- water supply system (1)
- wave run-up (1)
- wind turbine (1)
- Überspannung (1)
Pulmonary arterial cannulation is a common and effective method for percutaneous mechanical circulatory support for concurrent right heart and respiratory failure [1]. However, limited data exists to what effect the positioning of the cannula has on the oxygen perfusion throughout the pulmonary artery (PA). This study aims to evaluate, using computational fluid dynamics (CFD), the effect of different cannula positions in the PA with respect to the oxygenation of the different branching vessels in order for an optimal cannula position to be determined. The four chosen different positions (see Fig. 1) of the cannulas are, in the lower part of the main pulmonary artery (MPA), in the MPA at the junction between the right pulmonary artery (RPA) and the left pulmonary artery (LPA), in the RPA at the first branch of the RPA and in the LPA at the first branch of the LPA.
Magnetic nanoparticles (MNP) are investigated with great interest for biomedical applications in diagnostics (e.g. imaging: magnetic particle imaging (MPI)), therapeutics (e.g. hyperthermia: magnetic fluid hyperthermia (MFH)) and multi-purpose biosensing (e.g. magnetic immunoassays (MIA)). What all of these applications have in common is that they are based on the unique magnetic relaxation mechanisms of MNP in an alternating magnetic field (AMF). While MFH and MPI are currently the most prominent examples of biomedical applications, here we present results on the relatively new biosensing application of frequency mixing magnetic detection (FMMD) from a simulation perspective. In general, we ask how the key parameters of MNP (core size and magnetic anisotropy) affect the FMMD signal: by varying the core size, we investigate the effect of the magnetic volume per MNP; and by changing the effective magnetic anisotropy, we study the MNPs’ flexibility to leave its preferred magnetization direction. From this, we predict the most effective combination of MNP core size and magnetic anisotropy for maximum signal generation.
In this paper, the use of reinforcement learning (RL) in control systems is investigated using a rotatory inverted pendulum as an example. The control behavior of an RL controller is compared to that of traditional LQR and MPC controllers. This is done by evaluating their behavior under optimal conditions, their disturbance behavior, their robustness and their development process. All the investigated controllers are developed using MATLAB and the Simulink simulation environment and later deployed to a real pendulum model powered by a Raspberry Pi. The RL algorithm used is Proximal Policy Optimization (PPO). The LQR controller exhibits an easy development process, an average to good control behavior and average to good robustness. A linear MPC controller could show excellent results under optimal operating conditions. However, when subjected to disturbances or deviations from the equilibrium point, it showed poor performance and sometimes instable behavior. Employing a nonlinear MPC Controller in real time was not possible due to the high computational effort involved. The RL controller exhibits by far the most versatile and robust control behavior. When operated in the simulation environment, it achieved a high control accuracy. When employed in the real system, however, it only shows average accuracy and a significantly greater performance loss compared to the simulation than the traditional controllers. With MATLAB, it is not yet possible to directly post-train the RL controller on the Raspberry Pi, which is an obstacle to the practical application of RL in a prototyping or teaching setting. Nevertheless, RL in general proves to be a flexible and powerful control method, which is well suited for complex or nonlinear systems where traditional controllers struggle.
This paper serves as an introduction to the ECTS monitoring system and its potential applications in higher education. It also emphasizes the potential for ECTS monitoring to become a proactive system, supporting students by predicting academic success and identifying groups of potential dropouts for tailored support services. The use of the nearest neighbor analysis is suggested for improving data analysis and prediction accuracy.
Humic substances possess distinctive chemical features enabling their use in many advanced applications, including biomedical fields. No chemicals in nature have the same combination of specific chemical and biological properties as humic substances. Traditional medicine and modern research have demonstrated that humic substances from different sources possess immunomodulatory and anti-inflammatory properties, which makes them suitable for the prevention and treatment of chronic dermatoses, allergic rhinitis, atopic dermatitis, and other conditions characterized by inflammatory and allergic responses [1-4]. The use of humic compounds as agentswith antifungal and antiviral properties shows great potential [5-7].
This study presents the concept of AstroBioLab, an autonomous astrobiological field laboratory tailored for the exploration of (sub)glacial habitats. AstroBioLab is an integral component of the TRIPLE (Technologies for Rapid Ice Penetration and subglacial Lake Exploration) DLR-funded project, aimed at advancing astrobiology research through the development and deployment of innovative technologies. AstroBioLab integrates diverse measurement techniques such as fluorescence microscopy, DNA sequencing and fluorescence spectrometry, while leveraging microfluidics for efficient sample delivery and preparation.
Mathematical morphology is a part of image processing that has proven to be fruitful for numerous applications. Two main operations in mathematical morphology are dilation and erosion. These are based on the construction of a supremum or infimum with respect to an order over the tonal range in a certain section of the image. The tonal ordering can easily be realised in grey-scale morphology, and some morphological methods have been proposed for colour morphology. However, all of these have certain limitations.
In this paper we present a novel approach to colour morphology extending upon previous work in the field based on the Loewner order. We propose to consider an approximation of the supremum by means of a log-sum exponentiation introduced by Maslov. We apply this to the embedding of an RGB image in a field of symmetric 2x2 matrices. In this way we obtain nearly isotropic matrices representing colours and the structural advantage of transitivity. In numerical experiments we highlight some remarkable properties of the proposed approach.
The Inverted Rotary Pendulum: Facilitating Practical Teaching in Advanced Control Engineering
(2024)
This paper outlines a practical approach to teach control engineering principles, with an inverted rotary pendulum, serving as an illustrative example. It shows how the pendulum is embedded in an advanced course of control engineering. This approach is incorporated into a flipped-classroom concept, as well as classical teaching concepts, offering students practical experience in control engineering. In addition, the design of the pendulum is shown, using a Raspberry Pi as the target platform for Matlab Simulink. This pendulum can be used in the classroom to evaluate the controller design mentioned above. It is analysed if the use of the pendulum generates a deeper understanding of the learning contents.
After a brief introduction of conventional laboratory structures, this work focuses on an innovative and universal approach for a setup of a training laboratory for electric machines and drive systems. The novel approach employs a central 48 V DC bus, which forms the backbone of the structure. Several sets of DC machine, asynchronous machine and synchronous machine are connected to this bus. The advantages of the novel system structure are manifold, both from a didactic and a technical point of view: Student groups can work on their own performance level in a highly parallelized and at the same time individualized way. Additional training setups (similar or different) can easily be added. Only the total power dissipation has to be provided, i.e. the DC bus balances the power flow between the student groups. Comparative results of course evaluations of several cohorts of students are shown.
In recent years, more and more digital startups have been founded and many of them work remotely by applying enterprise collaboration systems (ECS). The study investigates the functional affordances of ECS, particularly Slack, and examines its potential as a virtual office environment for cultural development in digital startups. Through a case study and based on affordance theoretical considerations, the paper explores how ECS facilitates remote collaboration, communication, and socialization within digital startups. The findings comprise material properties of ECS (synchrony and asynchrony communication), functional affordances (virtual office and culture development affordances) as well as its realization (through communication practices, openness, and inter-company accessibility) and are conceptualized as a model for ECS affordances in digital startups.
Due to the transition to renewable energies, electricity markets need to be made fit for purpose. To enable the comparison of different energy market designs, modeling tools covering market actors and their heterogeneous behavior are needed. Agent-based models are ideally suited for this task. Such models can be used to simulate and analyze changes to market design or market mechanisms and their impact on market dynamics. In this paper, we conduct an evaluation and comparison of two actively developed open-source energy market simulation models. The two models, namely AMIRIS and ASSUME, are both designed to simulate future energy markets using an agent-based approach. The assessment encompasses modelling features and techniques, model performance, as well as a comparison of model results, which can serve as a blueprint for future comparative studies of simulation models. The main comparison dataset includes data of Germany in 2019 and simulates the Day-Ahead market and participating actors as individual agents. Both models are comparable close to the benchmark dataset with a MAE between 5.6 and 6.4 €/MWh while also modeling the actual dispatch realistically.
In the research domain of energy informatics, the importance of open datais rising rapidly. This can be seen as various new public datasets are created andpublished. Unfortunately, in many cases, the data is not available under a permissivelicense corresponding to the FAIR principles, often lacking accessibility or reusability.Furthermore, the source format often differs from the desired data format or does notmeet the demands to be queried in an efficient way. To solve this on a small scale atoolbox for ETL-processes is provided to create a local energy data server with openaccess data from different valuable sources in a structured format. So while the sourcesitself do not fully comply with the FAIR principles, the provided unique toolbox allows foran efficient processing of the data as if the FAIR principles would be met. The energydata server currently includes information of power systems, weather data, networkfrequency data, European energy and gas data for demand and generation and more.However, a solution to the core problem - missing alignment to the FAIR principles - isstill needed for the National Research Data Infrastructure.
Despite the challenges of pioneering molten salt towers (MST), it remains the leading technology in central receiver power plants today, thanks to cost effective storage integration and high cost reduction potential. The limited controllability in volatile solar conditions can cause significant losses, which are difficult to estimate without comprehensive modeling [1]. This paper presents a Methodology to generate predictions of the dynamic behavior of the receiver system as part of an operating assistance system (OAS). Based on this, it delivers proposals if and when to drain and refill the receiver during a cloudy period in order maximize the net yield and quantifies the amount of net electricity gained by this. After prior analysis with a detailed dynamic two-phase model of the entire receiver system, two different reduced modeling approaches where developed and implemented in the OAS. A tailored decision algorithm utilizes both models to deliver the desired predictions efficiently and with appropriate accuracy.
The complex questions of today for a world of tomorrow are characterized by their global impact. Solutions must therefore not only be sustainable in the sense of the three pillars of sustainability (economic, environmental, and social) but must also function globally. This goes hand in hand with the need for intercultural acceptance of developed services and products. To achieve this, engineers, as the problem solvers of the future, must be able to work in intercultural teams on appropriate solutions, and be sensitive to intercultural perspectives. To equip the engineers of the future with the so-called future skills, teaching concepts are needed in which students can acquire these methods and competencies in application-oriented formats. The presented course "Applying Design Thinking - Sustainability, Innovation and Interculturality" was developed to teach future skills from the competency areas Digital Key Competencies, Classical Competencies and Transformative Competencies. The CDIO Standard 3.0, in particular the standards 5, 6, 7 and 8, was used as a guideline. The course aims to prepare engineering students from different disciplines and cultures for their future work in an international environment by combining a digital teaching format with an interdisciplinary, transdisciplinary and intercultural setting for solving sustainability challenges. The innovative moment lies in the digital application of design thinking and the inclusion of intercultural as well as trans- and interdisciplinary perspectives in innovation development processes. In this paper, the concept of the course will be presented in detail and the particularities of a digital implementation of design thinking will be addressed. Subsequently, the potentials and challenges will be reflected and practical advice for integrating design thinking in engineering education will be given.
Residential and commercial buildings account for more than one-third of global energy-related greenhouse gas emissions. Integrated multi-energy systems at the district level are a promising way to reduce greenhouse gas emissions by exploiting economies of scale and synergies between energy sources. Planning district energy systems comes with many challenges in an ever-changing environment. Computational modelling established itself as the state-of-the-art method for district energy system planning. Unfortunately, it is still cumbersome to combine standalone models to generate insights that surpass their original purpose. Ideally, planning processes could be solved by using modular tools that easily incorporate the variety of competing and complementing computational models. Our contribution is a vision for a collaborative development and application platform for multi-energy system planning tools at the district level. We present challenges of district energy system planning identified in the literature and evaluate whether this platform can help to overcome these challenges. Further, we propose a toolkit that represents the core technical elements of the platform. Lastly, we discuss community management and its relevance for the success of projects with collaboration and knowledge sharing at their core.
In times of social climate protection movements, such as Fridays for Future, the priorities of society, industry and higher education are currently changing. The consideration of sustainability challenges is increasing. In the context of sustainable development, social skills are crucial to achieving the United Nations Sustainable Development Goals (SDGs). In particular, the impact that educational activities have on people, communities and society is therefore coming to the fore. Research has shown that people with high levels of social competence are better able to manage stressful situations, maintain positive relationships and communicate effectively. They are also associated with better academic performance and career success. However, especially in engineering programs, the social pillar is underrepresented compared to the environmental and economic pillars.
In response to these changes, higher education institutions should be more aware of their social impact - from individual forms of teaching to entire modules and degree programs. To specifically determine the potential for improvement and derive resulting change for further development, we present an initial framework for social impact measurement by transferring already established approaches from the business sector to the education sector. To demonstrate the applicability, we measure the key competencies taught in undergraduate engineering programs in Germany.
The aim is to prepare the students for success in the modern world of work and their future contribution to sustainable development. Additionally, the university can include the results in its sustainability report. Our method can be applied to different teaching methods and enables their comparison.
Clinical assessment of newly developed sensors is important for ensuring their validity. Comparing recordings of emerging electrocardiography (ECG) systems to a reference ECG system requires accurate synchronization of data from both devices. Current methods can be inefficient and prone to errors. To address this issue, three algorithms are presented to synchronize two ECG time series from different recording systems: Binned R-peak Correlation, R-R Interval Correlation, and Average R-peak Distance. These algorithms reduce ECG data to their cyclic features, mitigating inefficiencies and minimizing discrepancies between different recording systems. We evaluate the performance of these algorithms using high-quality data and then assess their robustness after manipulating the R-peaks. Our results show that R-R Interval Correlation was the most efficient, whereas the Average R-peak Distance and Binned R-peak Correlation were more robust against noisy data.
Due to the decarbonization of the energy sector, the electric distribution grids are undergoing a major transformation, which is expected to increase the load on the operating resources due to new electrical loads and distributed energy resources. Therefore, grid operators need to gradually move to active grid management in order to ensure safe and reliable grid operation. However, this requires knowledge of key grid variables, such as node voltages, which is why the mass integration of measurement technology (smart meters) is necessary. Another problem is the fact that a large part of the topology of the distribution grids is not sufficiently digitized and models are partly faulty, which means that active grid operation management today has to be carried out largely blindly. It is therefore part of current research to develop methods for determining unknown grid topologies based on measurement data. In this paper, different clustering algorithms are presented and their performance of topology detection of low voltage grids is compared. Furthermore, the influence of measurement uncertainties is investigated in the form of a sensitivity analysis.
Modern implementations of driver assistance systems are evolving from a pure driver assistance to a independently acting automation system. Still these systems are not covering the full vehicle usage range, also called operational design domain, which require the human driver as fall-back mechanism. Transition of control and potential minimum risk manoeuvres are currently research topics and will bridge the gap until full autonomous vehicles are available. The authors showed in a demonstration that the transition of control mechanisms can be further improved by usage of communication technology. Receiving the incident type and position information by usage of standardised vehicle to everything (V2X) messages can improve the driver safety and comfort level. The connected and automated vehicle’s software framework can take this information to plan areas where the driver should take back control by initiating a transition of control which can be followed by a minimum risk manoeuvre in case of an unresponsive driver. This transition of control has been implemented in a test vehicle and was presented to the public during the IEEE IV2022 (IEEE Intelligent Vehicle Symposium) in Aachen, Germany.
Messenger apps like WhatsApp and Telegram are frequently used for everyday communication, but they can also be utilized as a platform for illegal activity. Telegram allows public groups with up to 200.000 participants. Criminals use these public groups for trading illegal commodities and services, which becomes a concern for law enforcement agencies, who manually monitor suspicious activity in these chat rooms. This research demonstrates how natural language processing (NLP) can assist in analyzing these chat rooms, providing an explorative overview of the domain and facilitating purposeful analyses of user behavior. We provide a publicly available corpus of annotated text messages with entities and relations from four self-proclaimed black market chat rooms. Our pipeline approach aggregates the extracted product attributes from user messages to profiles and uses these with their sold products as features for clustering. The extracted structured information is the foundation for further data exploration, such as identifying the top vendors or fine-granular price analyses. Our evaluation shows that pretrained word vectors perform better for unsupervised clustering than state-of-the-art transformer models, while the latter is still superior for sequence labeling.