Refine
H-BRS Bibliography
- yes (265) (remove)
Departments, institutes and facilities
- Fachbereich Informatik (265) (remove)
Document Type
- Article (265) (remove)
Year of publication
Keywords
- Virtual reality (5)
- virtual reality (5)
- 3D user interface (3)
- ARRs (3)
- Augmented Reality (3)
- Datenanalyse (3)
- Sicherheitslücke (3)
- post-buckling (3)
- ARIMA (2)
- Artificial Intelligence (2)
- BPMS (2)
- Cognition (2)
- Computer Graphics (2)
- Datenschutz (2)
- Datensicherheit (2)
- ERP (2)
- FDI (2)
- Force field (2)
- Humans (2)
- Hybrid systems (2)
- Incremental bond graph (2)
- Intelligent Transport System (2)
- Machine Learning (2)
- Navigation (2)
- Optimization (2)
- Perception (2)
- Performance (2)
- Privacy (2)
- Ray Tracing (2)
- Security (2)
- Software (2)
- Software-Werkzeug (2)
- UAV (2)
- Unternehmen (2)
- Usable Security (2)
- Vehicular Ad hoc Networks (2)
- Virtual Reality (2)
- Visualization (2)
- YAWL (2)
- adaptive fault thresholds (2)
- automated sensor-screening (2)
- biometrics (2)
- bond graph modelling (2)
- computer vision (2)
- confidence level (2)
- data filtering (2)
- fault detection (2)
- foveated rendering (2)
- haptics (2)
- incremental bond graphs (2)
- neural network (2)
- nonlinear stability (2)
- optical sensor (2)
- parallel breadth-first search (2)
- power electronic systems (2)
- semiconducting metal oxide gas sensor array (2)
- short-term load forecasting (2)
- simulation (2)
- spatial updating (2)
- usable privacy (2)
- 16S rRNA gene sequencing (1)
- 3D navigation (1)
- 3D nucleus (1)
- 3D real-time echocardiography (1)
- 3D user interfaces (1)
- ABT-737 (1)
- ACPYPE (1)
- AD (1)
- AI usage in sports (1)
- ALPS (1)
- AMBER (1)
- AML (1)
- API Documentation (1)
- AR (1)
- Absolute nodal coordinate formulation (1)
- Active vision interface (1)
- Acute lymphoblastic leukemia (1)
- Adaptive Control (1)
- Advanced Driver Assistance Systems (1)
- Affordances (1)
- Algorithms (1)
- Alkane (1)
- Altenhilfe (1)
- Antifuse memory (1)
- Assekuranz (1)
- Auditory Cueing (1)
- Augmented reality (1)
- Automation (1)
- Automatisierte Prozesse Rekonstruktio (1)
- Autonomy (1)
- Autotuning (1)
- Available Bandwidth (1)
- B-cell leukemia (1)
- B-cell lymphoma (1)
- B2T (1)
- BCL2 (1)
- BFS (1)
- BH3-mimetic inhibitor (1)
- Background music (1)
- Bacteria, Anaerobic (1)
- Ball tracking (1)
- Bandwidth Estimation (1)
- Basis set (1)
- Bayesian Network (1)
- Bayesian optimization (1)
- Bayessches Netz (1)
- Begriffsbestimmung (1)
- Behörde (1)
- Benchmarking (1)
- Bewertung (1)
- Big Data Analysis (1)
- Blasendiagramm (1)
- Blocking (1)
- Bond Graph modelling and simulation (1)
- Bond graph (1)
- Bond graph modelling (1)
- Bond graphs (1)
- Bundesrepublik Deutschland (1)
- Bundesverfassungsgericht (1)
- Business (1)
- Business Process Intelligence (1)
- Business-to-Thing (1)
- CAS (1)
- CC (1)
- CEHL (1)
- CIBERSORT (1)
- CMMN (1)
- CREBBP (1)
- Camera selection (1)
- Camera view analysis (1)
- Canonical form of state equations and standard interconnection form for robustness study (1)
- Capability framework (1)
- Capacity (1)
- Carbohydrate (1)
- Case Management Model and Notation (1)
- Centrifugation (1)
- Cervical cancer screening (1)
- Cervicovaginal microbiome (1)
- Chalcogenide glass sensor (1)
- Challenges (1)
- Change-Prozess (1)
- Chemical imaging (1)
- Chip ID (1)
- Circular saws (1)
- Classifiers (1)
- Cloud computing (1)
- Co-rotational formulation (1)
- Code Generation (1)
- Cognitive informatics (1)
- Colposcopy (1)
- Company (1)
- Complexity (1)
- Computational causality (1)
- Computational chemistry (1)
- Computational modeling (1)
- Computer (1)
- Computer Automated Design (1)
- Computer Vision System (1)
- Computerkriminalitaet (1)
- Conformation (1)
- Congenital heart disease (1)
- Content Security Policies (1)
- Cooperative Awareness Message (1)
- Counterfeit protection (1)
- Coupled process (1)
- Creative Commons (1)
- Cross-sensitivity (1)
- Crystal structure (1)
- Current research information systems (1)
- Curriculum (1)
- Cutting sticks problem (1)
- Cybersickness (1)
- DNA extraction protocols (1)
- DNA profile (1)
- DOI (1)
- Data Publication (1)
- DataCite (1)
- Database Management Systems (1)
- Datenbanksysteme (1)
- Datenbasierte Prozessanalyse (1)
- Decision Diagram (1)
- Decision Network (1)
- Decision Support (1)
- Demenz (1)
- Demonstration-based training (1)
- Developer Centered Security (1)
- Diagnostic bond graphs (1)
- Dienstgütevereinbarung (1)
- Digital Object Identifier (1)
- Digitale Lehre (1)
- Digitisation (1)
- Disco (1)
- Discrete cosine transform (1)
- Displacement (1)
- Domain-Specific Languages (1)
- Domain-Specific Modeling Languages, (1)
- Domestic service robots (1)
- Drosophila (1)
- Drug resistance (1)
- EEG (1)
- ELM (1)
- EM leakage (1)
- EN-12299 (1)
- ERP system (1)
- ETV6-RUNX1 (1)
- Earth Observation (1)
- Ecosystem simulation (1)
- Educational Data Mining (1)
- Educational Process Mining (1)
- Edutainment (1)
- Efficiency (1)
- Einflussdiagramm (1)
- Electric mobility (1)
- Electromagnetic Fields (1)
- Electronic commerce (1)
- Electronic tongue (1)
- Elephantiasis (1)
- Emotion (1)
- Empfehlung (1)
- Empirical formula (1)
- Encryption (1)
- Enterprise Resource Planning Software (1)
- Enterprise Resource Planning System (1)
- Entropy (1)
- Entscheidungsunterstützung (1)
- Environmental Data (1)
- Escape analysis (1)
- Euler–Bernoulli beam (1)
- Evaluation (1)
- Evaluation als Kommunikationsanlass (1)
- Event detection (1)
- Ewing´s Sarcoma Family of Tumors (1)
- Exchange and reuse of bond graph models (1)
- Executive functions (1)
- Exercise (1)
- Expert system (1)
- External faults (1)
- FGR (1)
- Face and hand gesture recognition (1)
- Factory instrumentation (1)
- Fallbeschreibung (1)
- Fas (1)
- Fault detection and isolation (1)
- Fault handling (1)
- Feedback (1)
- Fehlertoleranz (1)
- Female (1)
- Field sequential imaging (1)
- Finite element modelling (1)
- First-order frequency domain sensitivities (1)
- Flexible multibody system (1)
- Fluency (1)
- Focus plus context (1)
- Foreground segmentation (1)
- Formal definition and validation of the content of a model description (1)
- Forms of mathematical models (1)
- Functional Programming (1)
- Funktionsprinzip (1)
- Fuzzy Mining (1)
- Fuzzy logic (1)
- Fuzzy-System (1)
- GDPR (1)
- GLI (1)
- Gabor filter (1)
- Games (1)
- Garbage collection (1)
- Gaze-contingent depth-of-field (1)
- Genetic Predisposition to Disease (1)
- Genetic algorithm (1)
- Genomics (1)
- Genomics/methods (1)
- Gesamt-Exom-Sequenzierung (1)
- Geschäftsprozess (1)
- Glycam06 (1)
- Goal Programming (1)
- Graph embeddings (1)
- Graph theory (1)
- Gromacs (1)
- Group behavior analysis (1)
- HDAC inhibitor (1)
- HDBR (1)
- HIF1α (1)
- HPV diagnostic (1)
- HSP70 (1)
- HSP90 (1)
- Hacker-Angriff (1)
- Hacking-Technik (1)
- Hand injuries (1)
- Handlungsempfehlung (1)
- Head Mounted Display (1)
- Head-mounted Display (1)
- High hyperdiploidy (1)
- High-resolution displays (1)
- High-speed railway track (1)
- Histograms (1)
- Hochschulehre (1)
- Hochschullehre (1)
- Human computer interaction (1)
- Human factors (1)
- Human orientation perception (1)
- Human robot interaction (1)
- Hybrid models of engineering systems (1)
- Hydraulic orifices (1)
- Hydrocarbon (1)
- IC identification (1)
- IEEE 802.11 (1)
- IT professionals (1)
- IT-Verfügbarkeit (1)
- IaaS (1)
- Ikaros (1)
- Image Processing (1)
- Immersion (1)
- Immersive analytics (1)
- Inductive Visual Mining (1)
- Industry 4.0 (1)
- Influence Diagram (1)
- Informations-, Kommunikations- und Medientechnologie (1)
- Informationssicherheit (1)
- Informationstechnik (1)
- Instantiation (1)
- Instruction design (1)
- Integral backstepping technique (1)
- Intel Xeon Phi (1)
- Interaction Patterns (1)
- Interaction devices (1)
- Internet (1)
- Internet of Things (1)
- Interventionstudie (1)
- It-Diensteanbieter (1)
- Java virtual machine (1)
- Kartographie (1)
- Key recovery (1)
- KiBP (1)
- Knowledge Graphs (1)
- Knowledge Worker (1)
- Knowledge-intensive Business Process (1)
- Kopie digitaler Daten (1)
- Laminar and turbulent flow (1)
- Language Engineering (1)
- Language learning (1)
- Langzeitbehandlung (1)
- Large display interaction (1)
- Large-Scale Online Services (1)
- Lattice Boltzmann Method (1)
- Leakage circuits (1)
- Leg (1)
- Lehr-Lernpsychologie (1)
- Leistungsdaten (1)
- Lernen (1)
- Lernumgebung (1)
- Library model (1)
- Ligands (1)
- Light curtain (1)
- Linear Optimization (1)
- Linear Programming (1)
- Linear quadratic regulator (1)
- Lineare Optimierung (1)
- Locomotion (1)
- Lymphedema (1)
- MAP-Elites (1)
- MBZ (1)
- MOX gas sensors (1)
- MP2.5 (1)
- Machine learning (1)
- Male (1)
- Malware (1)
- Manipulation tasks (1)
- Materialwissenschaften (1)
- Mathematical methods (1)
- Maximal covering location problem (1)
- Measurement (1)
- Media in education (1)
- Memory (1)
- Memory management (1)
- Meteorological Data (1)
- Methodenanalyse (1)
- Methodologies (1)
- Microsoft CRM 2013 (1)
- Mobile robotics (1)
- Mode switching LTI model (1)
- Mode-dependent ARRs (1)
- Model-Driven Engineering (1)
- Model-based failure prognosis (1)
- Model-free control (1)
- Modellbildung (1)
- Modelling (1)
- Molecular rotation (1)
- Molecular structure (1)
- Monitoring (1)
- Motion (1)
- Motion Sickness (1)
- Multi-camera (1)
- Multi-component heavy metal solution (1)
- Multi-objective (1)
- Multi-stage (1)
- Multibody systems (1)
- Multidisciplinary systems (1)
- Multimodal hyperspectral data (1)
- Multisensory cues (1)
- N200 (1)
- NFKB (1)
- NGS (1)
- NLP (1)
- NUMA (1)
- Naive physics (1)
- Neuroscience (1)
- Nonbonded scaling factor (1)
- Nonlinear control quadrotor uav (1)
- Nutzung (1)
- Nvidia graphic processors (1)
- OCT (1)
- OCU (1)
- OER (1)
- Object detection (1)
- Object recognition (1)
- Object-oriented physical systems modelling (1)
- Older adults (1)
- Online-Überwachung (1)
- Ontology (1)
- Open Educational Ressources (1)
- Open innovation (1)
- Open source software (1)
- OpenFlow (1)
- OpenMP (1)
- Optical flow (1)
- Organic compounds and Functional groups (1)
- Out-of-view Objects (1)
- Outside-in process (1)
- P300 (1)
- PAD (1)
- PCR inhibitors (1)
- PSD (1)
- PaaS (1)
- Parameter degradation model (1)
- Parameter uncertainties (1)
- Pattern recognition (1)
- Pedigree (1)
- Perceptual Upright (1)
- Pflegepersonal (1)
- Physical activity (1)
- Plan-based robot control (1)
- Poisson Disc Distribution (1)
- Polymorphism, Single Nucleotide (1)
- Precursor B-Cell Lymphoblastic Leukemia-Lymphoma/genetics (1)
- Prescriptive Analytics (1)
- Presence (1)
- Pressure wire (1)
- Pressure-volume relation (1)
- ProM (1)
- Process Mining (1)
- Process Models (1)
- Process views (1)
- Programmsicherheit (1)
- Pronunciation (1)
- Protective system (1)
- Proximity (1)
- Prozessanalyse (1)
- Prozessmanagement (1)
- Prozessoptimierung (1)
- Präskriptive Analytik (1)
- Pseudonym Concept (1)
- Psychology (1)
- Public Key Infrastructure (1)
- Quality Diversity (1)
- Quality diversity (1)
- Quality of Service (1)
- Qualitätspakt Lehre (1)
- Quantum mechanical methods (1)
- RAS (1)
- RFID (1)
- RMS acceleration (1)
- Raman spectroscopy (1)
- Rapid Prototyping (1)
- RapidMiner (1)
- Ray tracing (1)
- Reader (1)
- Real-time image processing (1)
- Reasoning (1)
- Recht (Gesetzgebung) (1)
- Recommendation (1)
- Recommender systems (1)
- Relapse (1)
- Remaining Useful Life (1)
- Rendering (1)
- Risk-based Authentication (1)
- RoboCup industrial (1)
- Robotersteuerung (1)
- Robotics (1)
- Robustness (1)
- Rule-based production systems (1)
- SAHA (1)
- SIMPACK (1)
- SMPA loop (1)
- SOA (1)
- STAT3 (1)
- SVM (1)
- SaaS (1)
- Saccades (1)
- Saccadic suppression (1)
- Safety guard (1)
- Schadenanalyse (1)
- Schadensprozess (1)
- School experiments (1)
- Schutzmaßnahme (1)
- Secure Coding Practices (1)
- Security architecture (1)
- Security level (1)
- Semantic scene understanding (1)
- Semantic search (1)
- Sense of presence (1)
- Sensitivity matrix in symbolic form (1)
- Service-Level-Agreement (1)
- Service-Roboter (1)
- Service-based cloud computing (1)
- Set partition problem (1)
- Shadow detection (1)
- Sicherheit (1)
- Sicherheitsarchitektur (1)
- Sicherheitsniveau (1)
- Side channels (1)
- Signal detection (1)
- Signal processing (1)
- Simulation (1)
- Single Instruction Multiple Data (SIMD) (1)
- Single-objective (1)
- Skalierbarkeit (1)
- Skin (1)
- Skin detection (1)
- Smart Card (1)
- Smart Card User Interface Design, Interactive Smart Card Applications (1)
- Smart factory (1)
- Social intelligence (1)
- Sociomateriality (1)
- Software Architecture (1)
- Software Framework (1)
- Software-Fehler (1)
- Software-Lebenszyklus (1)
- Software-Sicherheit (1)
- Software-Test (1)
- Software-Testautomatisierung (1)
- Somatogravic Illusion (1)
- SpMV (1)
- Sparse Matrix Vector Multiplication (1)
- Sparse Matrix Vector multiply (SpMV) (1)
- Spectroscopy (1)
- Spherical treadmill (1)
- Stabilitätsanalyse (1)
- Stream cipher (1)
- Studenten (1)
- Studienverlauf (1)
- Supervised classification (1)
- Support Vector Machine (1)
- Surrogate Modeling (1)
- System health monitoring (1)
- TEL-AML1 (1)
- TP53 (1)
- Tag (1)
- Taxonomie (1)
- Taxonomy (1)
- Teaching Quality Pact (1)
- Technologie (1)
- Teleconferencing system (1)
- Terrain rendering (1)
- Testing (1)
- Text detection (1)
- Text recognition (1)
- Therapy (1)
- Throughput (1)
- Tracking (1)
- Transformations between various description formats (1)
- Translocation (1)
- Transponder (1)
- Travel Techniques (1)
- Treatment of discontinuities and singularities in ordinary differential equations (1)
- UGV (1)
- USAR (1)
- Umgebung (Umwelt) (1)
- Unity (1)
- Unknown parameter degradation (1)
- Unterstützung (1)
- Usability (1)
- User engagement (1)
- User interface (1)
- User interfaces (1)
- User-Computer Interface (1)
- VR (1)
- VR-based systems (1)
- Vector Units (1)
- Vehicle-2-Vehicle Communication (1)
- Vehicle-to-Infrastructure Communication (1)
- Vehicle-to-Vehicle Com- munication (1)
- Verfassungsbeschwerde (1)
- Verschlüsselung (1)
- Versicherung (1)
- Vertrag (1)
- Vertragsbeendigung (1)
- Vertragspartner (1)
- Vertriebssysteme (1)
- Vibrational microspectroscopy (1)
- Video surveillance (1)
- View selection (1)
- Virtual Environment (1)
- Virtual Memory Palace (1)
- Virtuelle Realität (1)
- Visual Computing (1)
- Visual Cueing (1)
- Visual Discrimination (1)
- Visual perception (1)
- Wang-tiles (1)
- Watermarking (1)
- WiFi (1)
- Wireless backhaul (1)
- Wissensarbeiter (1)
- Wissensintensiver Geschäftsprozess (1)
- Workflow (1)
- Workflow Management (1)
- XML schema for bond graph models (1)
- Young adults (1)
- Zielprogrammierung (1)
- accelerometer (1)
- acute (1)
- adaptive trigger (1)
- aerodynamics (1)
- allopurinol (1)
- analog/digital signal processing (1)
- analytical redundancy relation residuals (1)
- antibody deficiency (1)
- apoptosis (1)
- architectural distortion (1)
- assistive robotics (1)
- atomic operation (1)
- authentication (1)
- autoimmune lymphoproliferative syndrome (1)
- autoinflammatory disease (1)
- automated 3D scanning (1)
- automatic measurement validation (1)
- automation of sample processing (1)
- averaged bond graph models (1)
- back-of-device interaction (1)
- bicausal diagnostic Bond Graphs (1)
- bioinformatics (1)
- bond graph (1)
- bond graphs (1)
- bond-graph-based physical systems modelling (1)
- bootstrapping (1)
- breast cancer (1)
- built environment (1)
- cancer (1)
- change process (1)
- childhood (1)
- childhood cancer syndrome (1)
- closed kinematic chain (1)
- collision (1)
- complete basis set limit (1)
- concrete plate (1)
- constitutional mismatch repair syndrome (1)
- constructive process deviance (1)
- controller design (1)
- curved shell (1)
- cyanide (1)
- cybersickness (1)
- data analysis (1)
- data locality (1)
- deep learning (1)
- degraded DNA (1)
- design process (1)
- detection (1)
- diagnostic bond graphs (1)
- differential algebraic equation systems (1)
- displacement measurement (1)
- distance perception (1)
- dynamic vector fields (1)
- e-Research (1)
- electrochemical sensor (1)
- elite sports (1)
- employee privacy (1)
- enterprise software (1)
- erbliche Krebssyndrome (1)
- estimation (1)
- evaluation as a mean to communication (1)
- execution (1)
- explainable AI (1)
- extraction-linked bias (1)
- extreme learning machine (1)
- eye movement (1)
- eye tracking (1)
- eye-tracking (1)
- factor analysis (1)
- failure prognostic (1)
- fault indicators (1)
- fault scenarios (1)
- feature (1)
- felt obligations (1)
- fingerprint (1)
- finite element method (1)
- fitness-fatigue model (1)
- fixed causalities generation of analytical redundancy relations (1)
- flight zone (1)
- flying (1)
- force sensing (1)
- forensic (1)
- free and open source software (1)
- frequency (1)
- fuel (1)
- gaze (1)
- general plate theory (1)
- genes (1)
- genetic testing (1)
- genetics (1)
- genetische Testung (1)
- geofence (1)
- graphene oxide powder (1)
- graphene oxide powders (1)
- gravito-inertial force (1)
- guidance (1)
- haptic interfaces (1)
- head down bed rest (1)
- heart rate control (1)
- heart rate modeling (1)
- heart rate prediction (1)
- heavy metal (1)
- high degree of diagnostic coverage and reliability (1)
- high diagnostic coverage and reliability (1)
- high dynamic range resistance readout (1)
- high speed railway vehicle (1)
- high-throughput DNA sequencing (1)
- high-throughput sequencing (1)
- hospital environment (1)
- hospital-acquired infections (1)
- human computer interaction (1)
- human microbiome (1)
- human-centred design (1)
- hybrid system models (1)
- hydrocarbon (1)
- ideal switches (1)
- immunodeficiency (1)
- indicators calculation (1)
- informational self-determination (1)
- interactive computer graphics (1)
- intervention mechanisms (1)
- intrinsics (1)
- ion-selective electrodes (1)
- irregularity amplitude (1)
- isolation (1)
- large-high-resolution displays (1)
- latent class analysis (1)
- leaning (1)
- leaning-based interfaces (1)
- learning traces (1)
- leukemia (1)
- lipid (1)
- load control (1)
- locomotion (1)
- locomotion interface (1)
- long short-term memory (1)
- lymphocytic (1)
- massive parallel sequencing (1)
- mathematical modeling (1)
- mebendazole (1)
- memory bandwidth (1)
- mental models (1)
- micro-benchmarks (1)
- microbial community structure (1)
- microbial ecology (1)
- microbiome (1)
- microbiome analyses (1)
- mixed reality (1)
- mobile applications (1)
- mobiler Roboter (1)
- modal superposition (1)
- mode-dependent implicit state space model (1)
- mode-switching linear time-invariant models (1)
- model exchange (1)
- modelling methodology (1)
- monitoring (1)
- mood (1)
- motion estimation (1)
- motion sickness (1)
- mp2 (1)
- multi-channel power sourcing (1)
- multi-solution optimization (1)
- multibody system (1)
- multibond graphs (1)
- multisensory cues (1)
- mutation (1)
- nano-composite (1)
- natural language processing (1)
- navigational search (1)
- near infrared (1)
- neuro-cognitive performance (1)
- next generation sequencing (1)
- numerical computation of residuals (1)
- object-oriented modelling (1)
- octane (1)
- operation mode independent causalities (1)
- optic flow (1)
- optical coherence tomography (1)
- optical flow (1)
- optical triangulation (1)
- opto-electronic protective device (1)
- optoelectronic (1)
- parallel work queue (1)
- parameter estimation (1)
- parameter sensitivity of residuals (1)
- perceived quality (1)
- perception of upright (1)
- performance modeling (1)
- performance prediction (1)
- peripheral vision (1)
- phenomenological approaches (1)
- physical activity (1)
- plasma-enhanced CVD (PECVD) (deposition) (1)
- porous material (1)
- posture analysis (1)
- power spectral density (1)
- pre-optimization (1)
- predictive maintenance (1)
- prefrontal cortex (1)
- presentation attack detection (1)
- presentation attack detection (PAD) (1)
- prioritizable ranking (1)
- privacy at work (1)
- privacy by design (1)
- process (1)
- prognosis (1)
- projection based systems (1)
- propan-2-ol (1)
- psychophysics (1)
- quantitative model-based fault detection (1)
- quantum mechanics (1)
- rapid prototyping tool (1)
- ray tracing (1)
- redundant work (1)
- refined beam theory (1)
- region of interest (1)
- regression testing (1)
- reinforcement learning (1)
- remaining useful life (1)
- repeated trend projection (1)
- residual bond graph sinks (1)
- residual sinks (1)
- reuse of indicators (1)
- ride comfort (1)
- robot behaviour model (1)
- robot control architecture (1)
- robot execution failures (1)
- robot introspection (1)
- robot personalisation (1)
- routing (1)
- run-time adaptation (1)
- scalability (1)
- schädliches Programm (1)
- security and privacy literacy (1)
- self-motion perception (1)
- semi-continuous locomotion (1)
- sensemaking (1)
- sensor fusion (1)
- sensor resilience (1)
- server processors (1)
- shared memory (1)
- shell theory (1)
- short tandem repeat (1)
- signal processing algorithm (1)
- simulation of fault scenarios (1)
- situation awareness (1)
- skill execution models (1)
- slip detection (1)
- slope based signature (1)
- software engineering (1)
- software testing (1)
- software-defined networking (1)
- space flight analog (1)
- spatial augmented reality (1)
- spatial orientation (1)
- spinal posture (1)
- stiffeners (1)
- structural equation modeling (1)
- subjective visual vertical (1)
- switched three-phase power inverter (1)
- system mode independent bond graph representation (1)
- system modes (1)
- tactile sensing (1)
- task planning (1)
- teleoperation (1)
- teleportation (1)
- telomeres (1)
- test case reduction (1)
- text mining (1)
- textual model description languages (1)
- thread mapping (1)
- time series analysis (1)
- tools for education (1)
- trace model (1)
- trace-based system (1)
- track irregularity (1)
- training monitoring (1)
- training performance relationship (1)
- transparency-enhancing technologies (1)
- travel techniques (1)
- tumor microenvironment (1)
- tumor-infiltrating immune cells (1)
- uncertainties (1)
- unrolling (1)
- usable privacy controls (1)
- user modelling (1)
- user study (1)
- vection (1)
- vector units (1)
- vestibular system (1)
- vibration (1)
- view management (1)
- visual attention (1)
- water dimer (1)
- wavelet (1)
- wearable sensor (1)
- wearable sensors (1)
- web services (1)
- weight perception (1)
- whole-exome sequencing (1)
- wind nuisance (1)
- wireless mesh networks (1)
- workday breaks (1)
- zooming interfaces (1)
- Überwachung (1)
- Wavenet (1)
Due to their user-friendliness and reliability, biometric systems have taken a central role in everyday digital identity management for all kinds of private, financial and governmental applications with increasing security requirements. A central security aspect of unsupervised biometric authentication systems is the presentation attack detection (PAD) mechanism, which defines the robustness to fake or altered biometric features. Artifacts like photos, artificial fingers, face masks and fake iris contact lenses are a general security threat for all biometric modalities. The Biometric Evaluation Center of the Institute of Safety and Security Research (ISF) at the University of Applied Sciences Bonn-Rhein-Sieg has specialized in the development of a near-infrared (NIR)-based contact-less detection technology that can distinguish between human skin and most artifact materials. This technology is highly adaptable and has already been successfully integrated into fingerprint scanners, face recognition devices and hand vein scanners. In this work, we introduce a cutting-edge, miniaturized near-infrared presentation attack detection (NIR-PAD) device. It includes an innovative signal processing chain and an integrated distance measurement feature to boost both reliability and resilience. We detail the device’s modular configuration and conceptual decisions, highlighting its suitability as a versatile platform for sensor fusion and seamless integration into future biometric systems. This paper elucidates the technological foundations and conceptual framework of the NIR-PAD reference platform, alongside an exploration of its potential applications and prospective enhancements.
During robot-assisted therapy, a robot typically needs to be partially or fully controlled by therapists, for instance using a Wizard-of-Oz protocol; this makes therapeutic sessions tedious to conduct, as therapists cannot fully focus on the interaction with the person under therapy. In this work, we develop a learning-based behaviour model that can be used to increase the autonomy of a robot’s decision-making process. We investigate reinforcement learning as a model training technique and compare different reward functions that consider a user’s engagement and activity performance. We also analyse various strategies that aim to make the learning process more tractable, namely i) behaviour model training with a learned user model, ii) policy transfer between user groups, and iii) policy learning from expert feedback. We demonstrate that policy transfer can significantly speed up the policy learning process, although the reward function has an important effect on the actions that a robot can choose. Although the main focus of this paper is the personalisation pipeline itself, we further evaluate the learned behaviour models in a small-scale real-world feasibility study in which six users participated in a sequence learning game with an assistive robot. The results of this study seem to suggest that learning from guidance may result in the most adequate policies in terms of increasing the engagement and game performance of users, but a large-scale user study is needed to verify the validity of that observation.
Self-motion perception is a multi-sensory process that involves visual, vestibular, and other cues. When perception of self-motion is induced using only visual motion, vestibular cues indicate that the body remains stationary, which may bias an observer’s perception. When lowering the precision of the vestibular cue by for example, lying down or by adapting to microgravity, these biases may decrease, accompanied by a decrease in precision. To test this hypothesis, we used a move-to-target task in virtual reality. Astronauts and Earth-based controls were shown a target at a range of simulated distances. After the target disappeared, forward self-motion was induced by optic flow. Participants indicated when they thought they had arrived at the target’s previously seen location. Astronauts completed the task on Earth (supine and sitting upright) prior to space travel, early and late in space, and early and late after landing. Controls completed the experiment on Earth using a similar regime with a supine posture used to simulate being in space. While variability was similar across all conditions, the supine posture led to significantly higher gains (target distance/perceived travel distance) than the sitting posture for the astronauts pre-flight and early post-flight but not late post-flight. No difference was detected between the astronauts’ performance on Earth and onboard the ISS, indicating that judgments of traveled distance were largely unaffected by long-term exposure to microgravity. Overall, this constitutes mixed evidence as to whether non-visual cues to travel distance are integrated with relevant visual cues when self-motion is simulated using optic flow alone.
This work proposes a novel approach for probabilistic end-to-end all-sky imager-based nowcasting with horizons of up to 30 min using an ImageNet pre-trained deep neural network. The method involves a two-stage approach. First, a backbone model is trained to estimate the irradiance from all-sky imager (ASI) images. The model is then extended and retrained on image and parameter sequences for forecasting. An open access data set is used for training and evaluation. We investigated the impact of simultaneously considering global horizontal (GHI), direct normal (DNI), and diffuse horizontal irradiance (DHI) on training time and forecast performance as well as the effect of adding parameters describing the irradiance variability proposed in the literature. The backbone model estimates current GHI with an RMSE and MAE of 58.06 and 29.33 W m−2, respectively. When extended for forecasting, the model achieves an overall positive skill score reaching 18.6 % compared to a smart persistence forecast. Minor modifications to the deterministic backbone and forecasting models enables the architecture to output an asymmetrical probability distribution and reduces training time while leading to similar errors for the backbone models. Investigating the impact of variability parameters shows that they reduce training time but have no significant impact on the GHI forecasting performance for both deterministic and probabilistic forecasting while simultaneously forecasting GHI, DNI, and DHI reduces the forecast performance.
The non-filarial and non-communicable disease podoconiosis affects around 4 million people and is characterized by severe leg lymphedema accompanied with painful intermittent acute inflammatory episodes, called acute dermatolymphangioadenitis (ADLA) attacks. Risk factors have been associated with the disease but the mechanisms of pathophysiology remain uncertain. Lymphedema can lead to skin lesions, which can serve as entry points for bacteria that may cause ADLA attacks leading to progression of the lymphedema. However, the microbiome of the skin of affected legs from podoconiosis individuals remains unclear. Thus, we analysed the skin microbiome of podoconiosis legs using next generation sequencing. We revealed a positive correlation between increasing lymphedema severity and non-commensal anaerobic bacteria, especially Anaerococcus provencensis, as well as a negative correlation with the presence of Corynebacterium, a constituent of normal skin flora. Disease symptoms were generally linked to higher microbial diversity and richness, which deviated from the normal composition of the skin. These findings show an association of distinct bacterial taxa with lymphedema stages, highlighting the important role of bacteria for the pathogenesis of podoconiosis and might enable a selection of better treatment regimens to manage ADLA attacks and disease progression.
While humans can effortlessly pick a view from multiple streams, automatically choosing the best view is a challenge. Choosing the best view from multi-camera streams poses a problem regarding which objective metrics should be considered. Existing works on view selection lack consensus about which metrics should be considered to select the best view. The literature on view selection describes diverse possible metrics. And strategies such as information-theoretic, instructional design, or aesthetics-motivated fail to incorporate all approaches. In this work, we postulate a strategy incorporating information-theoretic and instructional design-based objective metrics to select the best view from a set of views. Traditionally, information-theoretic measures have been used to find the goodness of a view, such as in 3D rendering. We adapted a similar measure known as the viewpoint entropy for real-world 2D images. Additionally, we incorporated similarity penalization to get a more accurate measure of the entropy of a view, which is one of the metrics for the best view selection. Since the choice of the best view is domain-dependent, we chose demonstration-based training scenarios as our use case. The limitation of our chosen scenarios is that they do not include collaborative training and solely feature a single trainer. To incorporate instructional design considerations, we included the trainer’s body pose, face, face when instructing, and hands visibility as metrics. To incorporate domain knowledge we included predetermined regions’ visibility as another metric. All of those metrics are taken into account to produce a parameterized view recommendation approach for demonstration-based training. An online study using recorded multi-camera video streams from a simulation environment was used to validate those metrics. Furthermore, the responses from the online study were used to optimize the view recommendation performance with a normalized discounted cumulative gain (NDCG) value of 0.912, which shows good performance with respect to matching user choices.
Microbiome analyses are essential for understanding microorganism composition and diversity, but interpretation is often challenging due to biological and technical variables. DNA extraction is a critical step that can significantly bias results, particularly in samples containing a high abundance of challenging-to-lyse microorganisms. Taking into consideration the distinctive microenvironments observed in different bodily locations, our study sought to assess the extent of bias introduced by suboptimal bead-beating during DNA extraction across diverse clinical sample types. The question was whether complex targeted extraction methods are always necessary for reliable taxonomic abundance estimation through amplicon sequencing or if simpler alternatives are effective for some sample types. Hence, for four different clinical sample types (stool, cervical swab, skin swab, and hospital surface swab samples), we compared the results achieved from extracting targeted manual protocols routinely used in our research lab for each sample type with automated protocols specifically not designed for that purpose. Unsurprisingly, we found that for the stool samples, manual extraction protocols with vigorous bead-beating were necessary in order to avoid erroneous taxa proportions on all investigated taxonomic levels and, in particular, false under- or overrepresentation of important genera such as Blautia, Faecalibacterium, and Parabacteroides. However, interestingly, we found that the skin and cervical swab samples had similar results with all tested protocols. Our results suggest that the level of practical automation largely depends on the expected microenvironment, with skin and cervical swabs being much easier to process than stool samples. Prudent consideration is necessary when extending the conclusions of this study to applications beyond rough estimations of taxonomic abundance.
The perceptual upright results from the multisensory integration of the directions indicated by vision and gravity as well as a prior assumption that upright is towards the head. The direction of gravity is signalled by multiple cues, the predominant of which are the otoliths of the vestibular system and somatosensory information from contact with the support surface. Here, we used neutral buoyancy to remove somatosensory information while retaining vestibular cues, thus "splitting the gravity vector" leaving only the vestibular component. In this way, neutral buoyancy can be used as a microgravity analogue. We assessed spatial orientation using the oriented character recognition test (OChaRT, which yields the perceptual upright, PU) under both neutrally buoyant and terrestrial conditions. The effect of visual cues to upright (the visual effect) was reduced under neutral buoyancy compared to on land but the influence of gravity was unaffected. We found no significant change in the relative weighting of vision, gravity, or body cues, in contrast to results found both in long-duration microgravity and during head-down bed rest. These results indicate a relatively minor role for somatosensation in determining the perceptual upright in the presence of vestibular cues. Short-duration neutral buoyancy is a weak analogue for microgravity exposure in terms of its perceptual consequences compared to long-duration head-down bed rest.
PURPOSE
Cervical cancer (CC) is caused by a persistent high-risk human papillomavirus (hrHPV) infection. The cervico-vaginal microbiome may influence the development of (pre)cancer lesions. Aim of the study was (i) to evaluate the new CC screening program in Germany for the detection of high-grade CC precursor lesions, and (ii) to elucidate the role of the cervico-vaginal microbiome and its potential impact on cervical dysplasia.
METHODS
The microbiome of 310 patients referred to colposcopy was determined by amplicon sequencing and correlated with clinicopathological parameters.
RESULTS
Most patients were referred for colposcopy due to a positive hrHPV result in two consecutive years combined with a normal PAP smear. In 2.1% of these cases, a CIN III lesion was detected. There was a significant positive association between the PAP stage and Lactobacillus vaginalis colonization and between the severity of CC precursor lesions and Ureaplasma parvum.
CONCLUSION
In our cohort, the new cervical cancer screening program resulted in a low rate of additional CIN III detected. It is questionable whether these cases were only identified earlier with additional HPV testing before the appearance of cytological abnormalities, or the new screening program will truly increase the detection rate of CIN III in the long run. Colonization with U. parvum was associated with histological dysplastic lesions. Whether targeted therapy of this pathogen or optimization of the microbiome prevents dysplasia remains speculative.
Airborne and spaceborne platforms are the primary data sources for large-scale forest mapping, but visual interpretation for individual species determination is labor-intensive. Hence, various studies focusing on forests have investigated the benefits of multiple sensors for automated tree species classification. However, transferable deep learning approaches for large-scale applications are still lacking. This gap motivated us to create a novel dataset for tree species classification in central Europe based on multi-sensor data from aerial, Sentinel-1 and Sentinel-2 imagery. In this paper, we introduce the TreeSatAI Benchmark Archive, which contains labels of 20 European tree species (i.e., 15 tree genera) derived from forest administration data of the federal state of Lower Saxony, Germany. We propose models and guidelines for the application of the latest machine learning techniques for the task of tree species classification with multi-label data. Finally, we provide various benchmark experiments showcasing the information which can be derived from the different sensors including artificial neural networks and tree-based machine learning methods. We found that residual neural networks (ResNet) perform sufficiently well with weighted precision scores up to 79 % only by using the RGB bands of aerial imagery. This result indicates that the spatial content present within the 0.2 m resolution data is very informative for tree species classification. With the incorporation of Sentinel-1 and Sentinel-2 imagery, performance improved marginally. However, the sole use of Sentinel-2 still allows for weighted precision scores of up to 74 % using either multi-layer perceptron (MLP) or Light Gradient Boosting Machine (LightGBM) models. Since the dataset is derived from real-world reference data, it contains high class imbalances. We found that this dataset attribute negatively affects the models' performances for many of the underrepresented classes (i.e., scarce tree species). However, the class-wise precision of the best-performing late fusion model still reached values ranging from 54 % (Acer) to 88 % (Pinus). Based on our results, we conclude that deep learning techniques using aerial imagery could considerably support forestry administration in the provision of large-scale tree species maps at a very high resolution to plan for challenges driven by global environmental change. The original dataset used in this paper is shared via Zenodo (https://doi.org/10.5281/zenodo.6598390, Schulz et al., 2022). For citation of the dataset, we refer to this article.