Conference Proceeding
Refine
Year of publication
Institute
- Fachbereich Elektrotechnik und Informationstechnik (234)
- Fachbereich Medizintechnik und Technomathematik (210)
- 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)
- ECSM European Center for Sustainable Mobility (52)
- Fachbereich Wirtschaftswissenschaften (51)
Language
- English (1162) (remove)
Document Type
- Conference Proceeding (1162) (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)
- 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)
- education (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 simulation (1)
- Agile development (1)
- Agility (1)
- Aircraft design (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)
- 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)
- 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)
- 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 efficiency (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)
- 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)
- 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)
- 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 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)
- Regulierung (1)
- Reinforcement Learning (1)
- Relation classification (1)
- Reliability of structures (1)
- Renewable energy integration (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)
- 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)
- 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 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
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.
We present first results from a newly developed monitoring station for a closed loop geothermal heat pump test installation at our campus, consisting of helix coils and plate heat exchangers, as well as an ice-store system. There are more than 40 temperature sensors and several soil moisture content sensors distributed around the system, allowing a detailed monitoring under different operating conditions.In the view of the modern development of renewable energies along with the newly concepts known as Internet of Things and Industry 4.0 (high-tech strategy from the German government), we created a user-friendly web application, which will connect the things (sensors) with the open network (www). Besides other advantages, this allows a continuous remote monitoring of the data from the numerous sensors at an arbitrary sampling rate.Based on the recorded data, we will also present first results from numerical simulations, taking into account all relevant heat transport processes.The aim is to improve the understanding of these processes and their influence on the thermal behavior of shallow geothermal systems in the unsaturated zone. This will in turn facilitate the prediction of the performance of these systems and therefore yield an improvement in their dimensioning when designing a specific shallow geothermal installation.
The problem of fair and privacy-preserving ordered set reconciliation arises in a variety of applications like auctions, e-voting, and appointment reconciliation. While several multi-party protocols have been proposed that solve this problem in the semi-honest model, there are no multi-party protocols that are secure in the malicious model so far. In this paper, we close this gap. Our newly proposed protocols are shown to be secure in the malicious model based on a variety of novel non-interactive zero-knowledge-proofs. We describe the implementation of our protocols and evaluate their performance in comparison to protocols solving the problem in the semi-honest case.
The RoboCup Logistics League (RCLL) is a robotics competition in a production logistics scenario in the context of a Smart Factory. In the competition, a team of three robots needs to assemble products to fulfill various orders that are requested online during the game. This year, the Carologistics team was able to win the competition with a new approach to multi-agent coordination as well as significant changes to the robot’s perception unit and a pragmatic network setup using the cellular network instead of WiFi. In this paper, we describe the major components of our approach with a focus on the changes compared to the last physical competition in 2019.
Due to the increasing complexity of software projects, software development is becoming more and more dependent on teams. The quality of this teamwork can vary depending on the team composition, as teams are always a combination of different skills and personality types. This paper aims to answer the question of how to describe a software development team and what influence the personality of the team members has on the team dynamics. For this purpose, a systematic literature review (n=48) and a literature search with the AI research assistant Elicit (n=20) were conducted. Result: A person’s personality significantly shapes his or her thinking and actions, which in turn influences his or her behavior in software development teams. It has been shown that team performance and satisfaction can be strongly influenced by personality. The quality of communication and the likelihood of conflict can also be attributed to personality.
This paper presents an approach for reducing the cognitive load for humans working in quality control (QC) for production processes that adhere to the 6σ -methodology. While 100% QC requires every part to be inspected, this task can be reduced when a human-in-the-loop QC process gets supported by an anomaly detection system that only presents those parts for manual inspection that have a significant likelihood of being defective. This approach shows good results when applied to image-based QC for metal textile products.
Digital forensics of smartphones is of utmost importance in many criminal cases. As modern smartphones store chats, photos, videos etc. that can be relevant for investigations and as they can have storage capacities of hundreds of gigabytes, they are a primary target for forensic investigators. However, it is exactly this large amount of data that is causing problems: extracting and examining the data from multiple phones seized in the context of a case is taking more and more time. This bears the risk of wasting a lot of time with irrelevant phones while there is not enough time left to analyze a phone which is worth examination. Forensic triage can help in this case: Such a triage is a preselection step based on a subset of data and is performed before fully extracting all the data from the smartphone. Triage can accelerate subsequent investigations and is especially useful in cases where time is essential. The aim of this paper is to determine which and how much data from an Android smartphone can be made directly accessible to the forensic investigator – without tedious investigations. For this purpose, an app has been developed that can be used with extremely limited storage of data in the handset and which outputs the extracted data immediately to the forensic workstation in a human- and machine-readable format.
The worldwide Corona pandemic has severely restricted student projects in the higher semesters of engineering courses. In order not to delay the graduation, a new concept had to be developed for projects under lockdown conditions. Therefore, unused rooms at the university should be digitally recorded in order to develop a new usage concept as laboratory rooms. An inventory of the actual state of the rooms was done first by taking photos and listing up all flaws and peculiarities. After that, a digital site measuring was done with a 360° laser scanner and these recorded scans were linked to a coherent point cloud and transferred to a software for planning technical building services and supporting Building Information Modelling (BIM). In order to better illustrate the difference between the actual and target state, two virtual reality models were created for realistic demonstration. During the project, the students had to go through the entire digital planning phases. Technical specifications had to be complied with, as well as documentation, time planning and cost estimate. This project turned out to be an excellent alternative to on-site practical training under lockdown conditions and increased the students’ motivation to deal with complex technical questions.
In the context of the Corona pandemic and its impact on teaching like digital lectures and exercises a new concept especially for freshmen in demanding courses of Smart Building Engineering became necessary. As there were hardly any face-to-face events at the university, the new teaching concept should enable a good start into engineering studies under pandemic conditions anyway and should also replace the written exam at the end. The students should become active themselves in small teams instead of listening passively to a lecture broadcast online with almost no personal contact. For this purpose, a role play was developed in which the freshmen had to work out a complete solution to the realistic problem of designing, construction planning and implementing a small guesthouse. Each student of the team had to take a certain role like architect, site manager, BIM-manager, electrician and the technitian for HVAC installations. Technical specifications must be complied with, as well as documentation, time planning and cost estimate. The final project folder had to contain technical documents like circuit diagrams for electrical components, circuit diagrams for water and heating, design calculations and components lists. On the other hand construction schedule, construction implementation plan, documentation of the construction progress and minutes of meetings between the various trades had to be submitted as well. In addition to the project folder, a model of the construction project must also be created either as a handmade model or as a digital 3D-model using Computer-aided design (CAD) software. The first steps in the field of Building information modelling (BIM) had also been taken by creating a digital model of the building showing the current planning status in real time as a digital twin. This project turned out to be an excellent training of important student competencies like teamwork, communication skills, and self -organisation and also increased motivation to work on complex technical questions. The aim of giving the student a first impression on the challenges and solutions in building projects with many different technical trades and their points of view was very well achieved and should be continued in the future.
KNX is a protocol for smart building automation, e.g., for automated heating, air conditioning, or lighting. This paper analyses and evaluates state-of-the-art KNX devices from manufacturers Merten, Gira and Siemens with respect to security. On the one hand, it is investigated if publicly known vulnerabilities like insecure storage of passwords in software, unencrypted communication, or denialof-service attacks, can be reproduced in new devices. On the other hand, the security is analyzed in general, leading to the discovery of a previously unknown and high risk vulnerability related to so-called BCU (authentication) keys.
Nowadays, the most employed devices for recoding videos or capturing images are undoubtedly the smartphones. Our work investigates the application of source camera identification on mobile phones. We present a dataset entirely collected by mobile phones. The dataset contains both still images and videos collected by 67 different smartphones. Part of the images consists in photos of uniform backgrounds, especially collected for the computation of the RSPN. Identifying the source camera given a video is particularly challenging due to the strong video compression. The experiments reported in this paper, show the large variation in performance when testing an highly accurate technique on still images and videos.
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.
Digital twins are seen as one of the key technologies of Industry 4.0. Although many research groups focus on digital twins and create meaningful outputs, the technology has not yet reached a broad application in the industry. The main reasons for this imbalance are the complexity of the topic, the lack of specialists, and the unawareness of the twin opportunities. The project "Digital Twin Academy" aims to overcome these barriers by focusing on three actions: Building a digital twin community for discussion and exchange, offering multi-stage training for various knowledge levels, and implementing realworld use cases for deeper insights and guidance. In this work, we focus on creating a flexible learning platform that allows the user to select a training path adjusted to personal knowledge and needs. Therefore, a mix of basic and advanced modules is created and expanded by individual feedback options. The usage of personas supports the selection of the appropriate modules.
The development of protype applications with sensors and actuators in the automation industry requires tools that are independent of manufacturer, and are flexible enough to be modified or extended for any specific requirements. Currently, developing prototypes with industrial sensors and actuators is not straightforward. First of all, the exchange of information depends on the industrial protocol that these devices have. Second, a specific configuration and installation is done based on the hardware that is used, such as automation controllers or industrial gateways. This means that the development for a specific industrial protocol, highly depends on the hardware and the software that vendors provide. In this work we propose a rapid-prototyping framework based on Arduino to solve this problem. For this project we have focused to work with the IO-Link protocol. The framework consists of an Arduino shield that acts as the physical layer, and a software that implements the IO-Link Master protocol. The main advantage of such framework is that an application with industrial devices can be rapid-prototyped with ease as its vendor independent, open-source and can be ported easily to other Arduino compatible boards. In comparison, a typical approach requires proprietary hardware, is not easy to port to another system and is closed-source.
In recent years, the development of large pretrained language models, such as BERT and GPT, significantly improved information extraction systems on various tasks, including relation classification. State-of-the-art systems are highly accurate on scientific benchmarks. A lack of explainability is currently a complicating factor in many real-world applications. Comprehensible systems are necessary to prevent biased, counterintuitive, or harmful decisions.
We introduce semantic extents, a concept to analyze decision patterns for the relation classification task. Semantic extents are the most influential parts of texts concerning classification decisions. Our definition allows similar procedures to determine semantic extents for humans and models. We provide an annotation tool and a software framework to determine semantic extents for humans and models conveniently and reproducibly. Comparing both reveals that models tend to learn shortcut patterns from data. These patterns are hard to detect with current interpretability methods, such as input reductions. Our approach can help detect and eliminate spurious decision patterns during model development. Semantic extents can increase the reliability and security of natural language processing systems. Semantic extents are an essential step in enabling applications in critical areas like healthcare or finance. Moreover, our work opens new research directions for developing methods to explain deep learning models.
Extracting workflow nets from textual descriptions can be used to simplify guidelines or formalize textual descriptions of formal processes like business processes and algorithms. The task of manually extracting processes, however, requires domain expertise and effort. While automatic process model extraction is desirable, annotating texts with formalized process models is expensive. Therefore, there are only a few machine-learning-based extraction approaches. Rule-based approaches, in turn, require domain specificity to work well and can rarely distinguish relevant and irrelevant information in textual descriptions. In this paper, we present GUIDO, a hybrid approach to the process model extraction task that first, classifies sentences regarding their relevance to the process model, using a BERT-based sentence classifier, and second, extracts a process model from the sentences classified as relevant, using dependency parsing. The presented approach achieves significantly better resul ts than a pure rule-based approach. GUIDO achieves an average behavioral similarity score of 0.93. Still, in comparison to purely machine-learning-based approaches, the annotation costs stay low.
The work in modern open-pit and underground mines requires the transportation of large amounts of resources between fixed points. The navigation to these fixed points is a repetitive task that can be automated. The challenge in automating the navigation of vehicles commonly used in mines is the systemic properties of such vehicles. Many mining vehicles, such as the one we have used in the research for this paper, use steering systems with an articulated joint bending the vehicle’s drive axis to change its course and a hydraulic drive system to actuate axial drive components or the movements of tippers if available. To address the difficulties of controlling such a vehicle, we present a model-predictive approach for controlling the vehicle. While the control optimisation based on a parallel error minimisation of the predicted state has already been established in the past, we provide insight into the design and implementation of an MPC for an articulated mining vehicle and show the results of real-world experiments in an open-pit mine environment.
Supervised machine learning and deep learning require a large amount of labeled data, which data scientists obtain in a manual, and time-consuming annotation process. To mitigate this challenge, Active Learning (AL) proposes promising data points to annotators they annotate next instead of a subsequent or random sample. This method is supposed to save annotation effort while maintaining model performance.
However, practitioners face many AL strategies for different tasks and need an empirical basis to choose between them. Surveys categorize AL strategies into taxonomies without performance indications. Presentations of novel AL strategies compare the performance to a small subset of strategies. Our contribution addresses the empirical basis by introducing a reproducible active learning evaluation (ALE) framework for the comparative evaluation of AL strategies in NLP.
The framework allows the implementation of AL strategies with low effort and a fair data-driven comparison through defining and tracking experiment parameters (e.g., initial dataset size, number of data points per query step, and the budget). ALE helps practitioners to make more informed decisions, and researchers can focus on developing new, effective AL strategies and deriving best practices for specific use cases. With best practices, practitioners can lower their annotation costs. We present a case study to illustrate how to use the framework.
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.
Even though BIM (Building Information Modelling) is successfully implemented in most of the world, it is still in the early stages in Germany, since the stakeholders are sceptical of its reliability and efficiency. The purpose of this paper is to analyse the opportunities and obstacles to implementing BIM for prefabrication. Among all other advantages of BIM, prefabrication is chosen for this paper because it plays a vital role in creating an impact on the time and cost factors of a construction project. The project stakeholders and participants can explicitly observe the positive impact of prefabrication, which enables the breakthrough of the scepticism factor among the small-scale construction companies. The analysis consists of the development of a process workflow for implementing prefabrication in building construction followed by a practical approach, which was executed with two case studies. It was planned in such a way that, the first case study gives a first-hand experience for the workers at the site on the BIM model so that they can make much use of the created BIM model, which is a better representation compared to the traditional 2D plan. The main aim of the first case study is to create a belief in the implementation of BIM Models, which was succeeded by the execution of offshore prefabrication in the second case study. Based on the case studies, the time analysis was made and it is inferred that the implementation of BIM for prefabrication can reduce construction time, ensures minimal wastes, better accuracy, less problem-solving at the construction site. It was observed that this process requires more planning time, better communication between different disciplines, which was the major obstacle for successful implementation. This paper was carried out from the perspective of small and medium-sized mechanical contracting companies for the private building sector in Germany.