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)
Seismic design of buried pipeline systems for energy and water supply is not only important for plant and operational safety but also for the maintenance of the supply infrastructure after an earthquake. The present paper shows special issues of the seismic wave impacts on buried pipelines, describes calculation methods, proposes approaches and gives calculation examples. This paper regards the effects of transient displacement differences and resulting tensions within the pipeline due to the wave propagation of the earthquake. However, the presented model can also be used to calculate fault rupture induced displacements. Based on a three-dimensional Finite Element Model parameter studies are performed to show the influence of several parameters such as incoming wave angle, wave velocity, backfill height and synthetic displacement time histories. The interaction between the pipeline and the surrounding soil is modeled with non-linear soil springs and the propagating wave is simulated affecting the pipeline punctually, independently in time and space. Special attention is given to long-distance heat pipeline systems. Here, in regular distances expansion bends are arranged to ensure movements of the pipeline due to high temperature. Such expansion bends are usually designed with small bending radii, which during the earthquake lead to high bending stresses in the cross-section of the pipeline. Finally, an interpretation of the results and recommendations are given for the most critical parameters.
The integration of product data from heterogeneous sources and manufacturers into a single catalog is often still a laborious, manual task. Especially small- and medium-sized enterprises face the challenge of timely integrating the data their business relies on to have an up-to-date product catalog, due to format specifications, low quality of data and the requirement of expert knowledge. Additionally, modern approaches to simplify catalog integration demand experience in machine learning, word vectorization, or semantic similarity that such enterprises do not have. Furthermore, most approaches struggle with low-quality data. We propose Attribute Label Ranking (ALR), an easy to understand and simple to adapt learning approach. ALR leverages a model trained on real-world integration data to identify the best possible schema mapping of previously unknown, proprietary, tabular format into a standardized catalog schema. Our approach predicts multiple labels for every attribute of an inpu t column. The whole column is taken into consideration to rank among these labels. We evaluate ALR regarding the correctness of predictions and compare the results on real-world data to state-of-the-art approaches. Additionally, we report findings during experiments and limitations of our approach.
The integration of frequently changing, volatile product data from different manufacturers into a single catalog is a significant challenge for small and medium-sized e-commerce companies. They rely on timely integrating product data to present them aggregated in an online shop without knowing format specifications, concept understanding of manufacturers, and data quality. Furthermore, format, concepts, and data quality may change at any time. Consequently, integrating product catalogs into a single standardized catalog is often a laborious manual task. Current strategies to streamline or automate catalog integration use techniques based on machine learning, word vectorization, or semantic similarity. However, most approaches struggle with low-quality or real-world data. We propose Attribute Label Ranking (ALR) as a recommendation engine to simplify the integration process of previously unknown, proprietary tabular format into a standardized catalog for practitioners. We evaluate ALR by focusing on the impact of different neural network architectures, language features, and semantic similarity. Additionally, we consider metrics for industrial application and present the impact of ALR in production and its limitations.
Often, research results from collaboration projects are not transferred into productive environments even though approaches are proven to work in demonstration prototypes. These demonstration prototypes are usually too fragile and error-prone to be transferred
easily into productive environments. A lot of additional work is required.
Inspired by the idea of an incremental delivery process, we introduce an architecture pattern, which combines the approach of Metrics Driven Research Collaboration with microservices for the ease of integration. It enables keeping track of project goals over the course of the collaboration while every party may focus on their expert skills: researchers may focus on complex algorithms,
practitioners may focus on their business goals.
Through the simplified integration (intermediate) research results can be introduced into a productive environment which enables
getting an early user feedback and allows for the early evaluation of different approaches. The practitioners’ business model benefits throughout the full project duration.
This paper presents the laser-based powder bed fusion (L-PBF) using various glass powders (borosilicate and quartz glass). Compared to metals, these require adapted process strategies. First, the glass powders were characterized with regard to their material properties and their processability in the powder bed. This was followed by investigations of the melting behavior of the glass powders with different laser wavelengths (10.6 µm, 1070 nm). In particular, the experimental setup of a CO2 laser was adapted for the processing of glass powder. An experimental setup with integrated coaxial temperature measurement/control and an inductively heatable build platform was created. This allowed the L-PBF process to be carried out at the transformation temperature of the glasses. Furthermore, the component’s material quality was analyzed on three-dimensional test specimen with regard to porosity, roughness, density and geometrical accuracy in order to evaluate the developed L-PBF parameters and to open up possible applications.
The potential of SMART climbing robot combined with a weatherproof cabin for rotor blade maintenance
(2016)
Euler-based induced drag estimation for highly non-planar lifting systems during conceptional design
(2013)
The impact of wake model effects is investigated for two highly
non-planar lifting systems. Dependent on the geometrical
arrangement of the configuration, the wake model shape is found
to considerably affect the estimation. Particularly at higher angles
of attack, an accurate estimation based on the common linear wake
model approaches is involved.
Solar-electric propulsion (SEP) is superior with
respect to payload capacity, flight time and
flexible launch window to the conventional
interplanetary transfer method using chemical
propulsion combined with gravity assists. This fact
results from the large exhaust velocities of electric
low–thrust propulsion and is favourable also for
missions to the giant planets, Kuiper-belt objects
and even for a heliopause probe (IHP) as shown in
three studies by the authors funded by DLR. They
dealt with a lander for Europa and a sample return
mission from a mainbelt asteroid [1], with the
TANDEM mission [2]; the third recent one
investigates electric propulsion for the transfer to
the edge of the solar system.
All studies are based on triple-junction solar arrays,
on rf-ion thrusters of the qualified RIT-22 type and
they use the intelligent trajectory optimization
program InTrance [3].
In this work, three patent pending calibration methods for heliostat fields of central receiver systems (CRS) developed by the Solar-Institut Jülich (SIJ) of the FH Aachen University of Applied Sciences are presented. The calibration methods can either operate in a combined mode or in stand-alone mode. The first calibration method, method A, foresees that a camera matrix is placed into the receiver plane where it is subjected to concentrated solar irradiance during a measurement process. The second calibration method, method B, uses an unmanned aerial vehicle (UAV) such as a quadrocopter to automatically fly into the reflected solar irradiance cross-section of one or more heliostats (two variants of method B were tested). The third calibration method, method C, foresees a stereo central camera or multiple stereo cameras installed e.g. on the solar tower whereby the orientations of the heliostats are calculated from the location detection of spherical red markers attached to the heliostats. The most accurate method is method A which has a mean accuracy of 0.17 mrad. The mean accuracy of method B variant 1 is 1.36 mrad and of variant 2 is 1.73 mrad. Method C has a mean accuracy of 15.07 mrad. For method B there is great potential regarding improving the measurement accuracy. For method C the collected data was not sufficient for determining whether or not there is potential for improving the accuracy.
As part of the transnational research project EDITOR, a parabolic trough collector system (PTC) with concrete thermal energy storage (C-TES) was installed and commissioned in Limassol, Cyprus. The system is located on the premises of the beverage manufacturer KEAN Soft Drinks Ltd. and its function is to supply process steam for the factory's pasteurisation process [1]. Depending on the factory's seasonally varying capacity for beverage production, the solar system delivers between 5 and 25 % of the total steam demand. In combination with the C-TES, the solar plant can supply process steam on demand before sunrise or after sunset. Furthermore, the C-TES compensates the PTC during the day in fluctuating weather conditions. The parabolic trough collector as well as the control and oil handling unit is designed and manufactured by Protarget AG, Germany. The C-TES is designed and produced by CADE Soluciones de Ingeniería, S.L., Spain. In the focus of this paper is the description of the operational experience with the PTC, C-TES and boiler during the commissioning and operation phase. Additionally, innovative optimisation measures are presented.
This work presents a basic forecast tool for predicting direct normal irradiance (DNI) in hourly resolution, which the Solar-Institut Jülich (SIJ) is developing within a research project. The DNI forecast data shall be used for a parabolic trough collector (PTC) system with a concrete thermal energy storage (C-TES) located at the company KEAN Soft Drinks Ltd in Limassol, Cyprus. On a daily basis, 24-hour DNI prediction data in hourly resolution shall be automatically produced using free or very low-cost weather forecast data as input. The purpose of the DNI forecast tool is to automatically transfer the DNI forecast data on a daily basis to a main control unit (MCU). The MCU automatically makes a smart decision on the operation mode of the PTC system such as steam production mode and/or C-TES charging mode. The DNI forecast tool was evaluated using historical data of measured DNI from an on-site weather station, which was compared to the DNI forecast data. The DNI forecast tool was tested using data from 56 days between January and March 2022, which included days with a strong variation in DNI due to cloud passages. For the evaluation of the DNI forecast reliability, three categories were created and the forecast data was sorted accordingly. The result was that the DNI forecast tool has a reliability of 71.4 % based on the tested days. The result fulfils SIJ’s aim to achieve a reliability of around 70 %, but SIJ aims to still improve the DNI forecast quality.
A solid-state amperometric hydrogen sensor based on a protonated Nafion membrane and catalytic active electrode operating at room temperature was fabricated and tested. Ionic conducting polymer-metal electrode interfaces were prepared chemically by using the impregnation-reduction method. The polymer membrane was impregnated with tetra-ammine platinum chloride hydrate and the metal ions were subsequently reduced by using either sodium tetrahydroborate or potassium tetrahydroborate. The hydrogen sensing characteristics with air as reference gas is reported. The sensors were capable of detecting hydrogen concentrations from 10 ppm to 10% in nitrogen. The response time was in the range of 10-30 s and a stable linear current output was observed. The thin Pt films were characterized by XRD, Infrared Spectroscopy, Optical Microscopy, Atomic Force Microscopy, Scanning Electron Microscopy and EDAX.
Design and Development of a Novel Self-Igniting Microwave Plasma Jet for Industrial Applications
(2019)
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.
The 2nd edition of the lightning risk management
standard (IEC 62305-2) considers structures, which may
endanger environment. In these cases, the loss is not limited to
the structure itself, which is valid for usual structures. In the past
(Edition 1) this danger was simply taken into account by a special
hazard factor, multiplying the existing risk for the structure with
a number. Now, in the edition 2, we add to the risk for the
structure itself a “second risk” due to the losses outside the
structure. The losses outside can be treated independently from
what occurs inside. This is a major advantage to analyze the risk
for sensitive structures, like chemical plants, nuclear plants, or
structures containing explosives, etc. In this paper, the existing
procedure given by the European version EN 62305-2 Ed.2 is
further developed and applied to a few structures.
Characterization and evaluation of lignocellulosic biomass 130 hydrolysates for ABE fermentation
(2016)
Seismic excited liquid filled tanks are subjected to extreme loading due to hydrodynamic pressures, which can lead to nonlinear stability failure of the thinwalled cylindrical tanks, as it is known from past earthquakes. A significant reduction of the seismically induced loads can be obtained by the application of base isolation systems, which have to be designed carefully with respect to the modified hydrodynamic behaviour of the tank in interaction with the liquid. For this reason a highly sophisticated fluid-structure interaction model has to be applied for a realistic simulation of the overall dynamic system. In the following, such a model is presented and compared with the results of simplified mathematical models for rigidly supported tanks. Finally, it is examined to what extent a simple mechanical model can represent the behaviour of a base isolated tank in case of seismic excitation
Analysis Of Base Isolated Liquid Storage Tanks With 3D Fsi-Analysis As Well As Simplified Approaches
(2017)
Tanks are preferably designed, for cost-saving reasons, as circular, cylindrical, thin-walled shells. In case of seismic excitation, these constructions are highly vulnerable to stability failures. An earthquake-resistant design of rigidly supported tanks for high seismic loading demands, however, uneconomic wall thicknesses. A cost-effective alternative can be provided by base isolation systems. In this paper, a simplified seismic design procedure for base isolated tanks is introduced, by appropriately modifying the standard mechanical model for flexible, rigidly supported tanks. The non-linear behavior of conventional base isolation systems becomes an integral part of a proposed simplified process, which enables
the assessment of the reduced hydrodynamic forces acting on the tank walls and the corresponding stress distribution. The impulsive and convective actions of the liquid are taken into account. The validity of this approach is evaluated by
employing a non-linear fluid-structure interaction algorithm of finite element method. Special focus is placed on the boundary conditions imposed from the base isolation and the resulting hydrodynamic pressures. Both horizontal and vertical
component of ground motion are considered in order to study the principal effects of the base isolation on the pressure distribution of the tank walls. The induced rocking effects associated with elastomeric bearings are discussed. The results
manifest that base isolated tanks can be designed for seismic loads by means of the proposed procedure with sufficient accuracy, allowing to dispense with numerically expensive techniques.
Leveraging Social Network Data for Analytical CRM Strategies - The Introduction of Social BI.
(2012)
Production and distribution of personalized information services employing mass customization
(2003)
The initial idea of Robotic Process Automation (RPA) is the automation of business processes through a simple emulation of user input and output by software robots. Hence, it can be assumed that no changes of the used software systems and existing Enterprise Architecture (EA) is
required. In this short, practical paper we discuss this assumption based on a real-life implementation project. We show that a successful RPA implementation might require architectural work during analysis, implementation, and migration. As practical paper we focus on exemplary lessons-learned and new questions related to RPA and EA.
Sensitivity Analysis of General Aviation Aircraft with Parallel Hybrid-Electric Propulsion Systems
(2019)
The seismic performance and safety of major European industrial facilities has a global interest for Europe, its citizens and economy. A potential major disaster at an industrial site could affect several countries, probably far beyond the country where it is located. However, the seismic design and safety assessment of these facilities is practically based on national, often outdated seismic hazard assessment studies, due to many reasons, including the absence of a reliable, commonly developed seismic hazard model for whole Europe. This important gap is no more existing, as the 2020 European Seismic Hazard Model ESHM20 was released in December 2021. In this paper we investigate the expected impact of the adoption of ESHM20 on the seismic demand for industrial facilities, through the comparison of the ESHM20 probabilistic hazard at the sites where industrial facilities are located with the respective national and European regulations. The goal of this preliminary work in the framework of Working Group 13 of the European Association for Earthquake Engineering (EAEE), is to identify potential inadequacies in the design and safety control of existing industrial facilities and to highlight the expected impact of the adoption of the new European Seismic Hazard Model on the design of new industrial facilities and the safety assessment of existing ones.
Modeling and upscaling of a pilot bayonettube reactor for indirect solar mixed methane reforming
(2020)
A 16.77 kW thermal power bayonet-tube reactor for the mixed reforming of methane using solar energy has been designed and modeled. A test bench for the experimental tests has been installed at the Synlight facility in Juelich, Germany and has just been commissioned. This paper presents the solar-heated reactor design for a combined steam and dry reforming as well as a scaled-up process simulation of a solar reforming plant for methanol production. Solar power towers are capable of providing large amounts of heat to drive high-endothermic reactions, and their integration with thermochemical processes shows a promising future. In the designed bayonet-tube reactor, the conventional burner arrangement for the combustion of natural gas has been substituted by a continuous 930 °C hot air stream, provided by means of a solar heated air receiver, a ceramic thermal storage and an auxiliary firing system. Inside the solar-heated reactor, the heat is transferred by means of convective mechanism mainly; instead of radiation mechanism as typically prevailing in fossil-based industrial reforming processes. A scaled-up solar reforming plant of 50.5 MWth was designed and simulated in Dymola® and AspenPlus®. In comparison to a fossil-based industrial reforming process of the same thermal capacity, a solar reforming plant with thermal storage promises a reduction up to 57 % of annual natural gas consumption in regions with annual DNI-value of 2349 kWh/m2. The benchmark solar reforming plant contributes to a CO2 avoidance of approx. 79 kilotons per year. This facility can produce a nominal output of 734.4 t of synthesis gas and out of this 530 t of methanol a day.
Retrofitting of existing parabolic trough collector power plants with molten salt tower systems
(2018)
In this paper we report on an architecture for a self-driving car that is based on ROS2. Self-driving cars have to take decisions based on their sensory input in real-time, providing high reliability with a strong demand in functional safety. In principle, self-driving cars are robots. However, typical robot software, in general, and the previous version of the Robot Operating System (ROS), in particular, does not always meet these requirements. With the successor ROS2 the situation has changed and it might be considered as a solution for automated and autonomous driving. Existing robotic software based on ROS was not ready for safety critical applications like self-driving cars. We propose an architecture for using ROS2 for a self-driving car that enables safe and reliable real-time behaviour, but keeping the advantages of ROS such as a distributed architecture and standardised message types. First experiments with an automated real passenger car at lower and higher speed-levels show that our approach seems feasible for autonomous driving under the necessary real-time conditions.
Computational aeroelastic analysis and design of the HIRENASD wind tunnel wing model and tests
(2007)
Finding a good system topology with more than a handful of components is a
highly non-trivial task. The system needs to be able to fulfil all expected load cases, but at the
same time the components should interact in an energy-efficient way. An example for a system
design problem is the layout of the drinking water supply of a residential building. It may be
reasonable to choose a design of spatially distributed pumps which are connected by pipes in at
least two dimensions. This leads to a large variety of possible system topologies. To solve such
problems in a reasonable time frame, the nonlinear technical characteristics must be modelled
as simple as possible, while still achieving a sufficiently good representation of reality. The
aim of this paper is to compare the speed and reliability of a selection of leading mathematical
programming solvers on a set of varying model formulations. This gives us empirical evidence
on what combinations of model formulations and solver packages are the means of choice with the current state of the art.
The UN sets the goal to ensure access to water and sanitation for all people by 2030. To address this goal, we present a multidisciplinary approach for designing water supply networks for slums in large cities by applying mathematical optimization. The problem is modeled as a mixed-integer linear problem (MILP) aiming to find a network describing the optimal supply infrastructure. To illustrate the approach, we apply it on a small slum cluster in Dhaka, Bangladesh.
Human induced pluripotent stem cells (hiPSCs) have shown to be promising in disease studies and drug screenings [1]. Cardiomyocytes derived from hiPSCs have been extensively investigated using patch-clamping and optical methods to compare their electromechanical behaviour relative to fully matured adult cells. Mathematical models can be used for translating findings on hiPSCCMs to adult cells [2] or to better understand the mechanisms of various ion channels when a drug is applied [3,4]. Paci et al. (2013) [3] developed the first model of hiPSC-CMs, which they later refined based on new data [3]. The model is based on iCells® (Fujifilm Cellular Dynamics, Inc. (FCDI), Madison WI, USA) but major differences among several cell lines and even within a single cell line have been found and motivate an approach for creating sample-specific models. We have developed an optimisation algorithm that parameterises the conductances (in S/F=Siemens/Farad) of the latest Paci et al. model (2018) [5] using current-voltage data obtained in individual patch-clamp experiments derived from an automated patch clamp system (Patchliner, Nanion Technologies GmbH, Munich).
Multi-dimensional fragility analysis of a RC building with components using response surface method
(2017)
Conventional fragility curves describe the vulnerability of the main structure under external hazards. However, in complex structures such as nuclear power plants, the safety or the risk depends also on the components associated with a system. The classical fault tree analysis gives an overall view of the failure and contains several subsystems to the main event, however, the interactions in the subsystems are not well represented. In order to represent the interaction of the components, a method suggested by Cimellaro et al. (2006) using multidimensional performance limit state functions to obtain the system fragility curves is adopted. This approach gives the possibility of deriving the cumulative fragility taking into account the interaction of the response of different components. In this paper, this approach is used to evaluate seismic risk of a representative electrical building infrastructure, including the component, of a nuclear power plant. A simplified model of the structure, with nonlinear material behavior is employed for the analysis in Abaqus©. The input variables considered are the material parameters, boundary conditions and the seismic input. The variability of the seismic input is obtained from selected ground motion time histories of spectrum compatible synthetic ccelerograms. Unlike the usual Monte Carlo methods used for the probabilistic analysis of the structure, a computationally effective response surface method is used. This method reduces the computational effort of the calculations by reducing the required
number of samples.
A concept for a sensitive micro total analysis system for high throughput fluorescence imaging
(2006)
This paper discusses possible methods for on-chip fluorescent imaging for integrated bio-sensors. The integration of optical and electro-optical accessories, according to suggested methods, can improve the performance of fluorescence imaging. It can boost the signal to background ratio by a few orders of magnitudes in comparison to conventional discrete setups. The methods that are present in this paper are oriented towards building reproducible arrays for high-throughput micro total analysis systems (µTAS). The first method relates to side illumination of the fluorescent material placed into microcompartments of the lab-on-chip. Its significance is in high utilization of excitation energy for low concentration of fluorescent material. The utilization of a transparent µLED chip, for the second method, allows the placement of the excitation light sources on the same optical axis with emission detector, such that the excitation and emission rays are directed controversly. The third method presents a spatial filtering of the excitation background.
An interdisciplinary view on humane interfaces for digital shadows in the internet of production
(2022)
Digital shadows play a central role for the next generation industrial internet, also known as Internet of Production (IoP). However, prior research has not considered systematically how human actors interact with digital shadows, shaping their potential for success. To address this research gap, we assembled an interdisciplinary team of authors from diverse areas of human-centered research to propose and discuss design and research recommendations for the implementation of industrial user interfaces for digital shadows, as they are currently conceptualized for the IoP. Based on the four use cases of decision support systems, knowledge sharing in global production networks, human-robot collaboration, and monitoring employee workload, we derive recommendations for interface design and enhancing workers’ capabilities. This analysis is extended by introducing requirements from the higher-level perspectives of governance and organization.
Hollow core fiber delivery of sub-ps pulses from a TruMicro 5000 Femto edition thin disk amplifier
(2015)
We compare four different algorithms for automatically estimating the muscle fascicle angle from ultrasonic images: the vesselness filter, the Radon transform, the projection profile method and the gray level cooccurence matrix (GLCM). The algorithm results are compared to ground truth data generated by three different experts on 425 image frames from two videos recorded during different types of motion. The best agreement with the ground truth data was achieved by a combination of pre-processing with a vesselness filter and measuring the angle with the projection profile method. The robustness of the estimation is increased by applying the algorithms to subregions with high gradients and performing a LOESS fit through these estimates.
Functional testing and characterisation of ISFETs on wafer level by means of a micro-droplet cell
(2006)
A wafer-level functionality testing and characterisation system for ISFETs (ionsensitive field-effect transistor) is realised by means of integration of a specifically designed capillary electrochemical micro-droplet cell into a commercial wafer prober-station. The developed system allows the identification and selection of “good” ISFETs at the earliest stage and to avoid expensive bonding, encapsulation and packaging processes for nonfunctioning ISFETs and thus, to decrease costs, which are wasted for bad dies. The developed system is also feasible for wafer-level characterisation of ISFETs in terms of sensitivity, hysteresis and response time. Additionally, the system might be also utilised for wafer-level testing of further electrochemical sensors.