Conference Proceeding
Refine
Year of publication
Institute
- ECSM European Center for Sustainable Mobility (62) (remove)
Has Fulltext
- no (62)
Document Type
- Conference Proceeding (62) (remove)
Keywords
- Energy storage (4)
- Power plants (4)
- Associated liquids (3)
- Concentrated solar power (3)
- Hybrid energy system (3)
- Electricity generation (2)
- Smart Building (2)
- Solar thermal technologies (2)
- UAV (2)
- electro mobility (2)
- 3D object detection (1)
- Aircraft design (1)
- Android (1)
- Anomalieerkennung (1)
- BIM (1)
- Building Automation (1)
- Bumblebees (1)
- CO2 (1)
- Camera system (1)
- Capacity Building Higher Education (1)
- Carbon Dioxide (1)
- Ceramics (1)
- Cloud passages (1)
- Conpot (1)
- Control optimization (1)
- Correlations (1)
- DNI forecast (1)
- DNI forecasting (1)
- Decision theory (1)
- Deep learning (1)
- Design rules (1)
- DiggiTwin (1)
- Digital triage (1)
- Digitalisierung (1)
- Direct normal irradiance forecast (1)
- District data model (1)
- District energy planning platform (1)
- Drag (1)
- Education (1)
- Electrochemistry (1)
- Energy Disaggregation (1)
- Energy system planning (1)
- Erasmus+ United (1)
- European Framework and South East Asia (1)
- Flight control (1)
- Geometry (1)
- Global change (1)
- Green aircraft (1)
- Guide Tube (1)
- Heliostat Field Calibration (1)
- Heliostats (1)
- Home Assistant (1)
- Home Automation Platform (1)
- Hybrid-electric aircraft (1)
- ICS (1)
- Image Database (1)
- Image Forensics (1)
- IoT (1)
- Kalman filter (1)
- LiDAR (1)
- MAV (1)
- Machine Learning (1)
- Malaysian Automotive Industry (1)
- Malaysian automotive industry (1)
- Measuring instruments (1)
- Mobile Phones (1)
- Molten salt receiver (1)
- Molten salt receiver system, (1)
- Nowcasting (1)
- Nozzle (1)
- Obstacle avoidance (1)
- Open Source (1)
- PEM fuel cells (1)
- PTC (1)
- Parabolic trough collector (1)
- Photovoltaics (1)
- Process prediction (1)
- Quadrocopter (1)
- Renewable energy integration (1)
- Sharing mobility (1)
- Solar irradiance (1)
- Star design (1)
- Statistics (1)
- Suction (1)
- TICTOP (1)
- Technology Transfer (1)
- Thermal Energy Storage (1)
- Three-dimensional displays (1)
- Triage-app (1)
- UTeM Engineering Knowledge Transfer Unit (1)
- Uncertainty analysis (1)
- Unmanned Air Vehicle (1)
- Unmanned aerial vehicle (1)
- autonomous driving (1)
- aviation application (1)
- business models (1)
- control system (1)
- cybersecurity (1)
- digitalization (1)
- dissemination (1)
- do-it-yourself (1)
- education (1)
- electrically driven compressors (1)
- embedded hardware (1)
- energy transition (1)
- fuel cell (1)
- fuel cell systems (1)
- health management systems (1)
- honeynet (1)
- honeypot (1)
- information systems (1)
- internal combustion engine (1)
- mobility behaviour (1)
- open educational resources (1)
- renewable energies (1)
- sensor networks (1)
- technology transfer (1)
- Überwachung & Optimierung (1)
This work presents a methodology for automated
damage-sensitive feature extraction and anomaly
detection under multivariate operational variability
for in-flight assessment of wings. The
method uses a passive excitation approach, i. e.
without the need for artificial actuation. The
modal system properties (natural frequencies and
damping ratios) are used as damage-sensitive
features. Special emphasis is placed on the use
of Fiber Bragg Grating (FBG) sensing technology
and the consideration of Operational and
Environmental Variability (OEV). Measurements
from a wind tunnel investigation with a composite
cantilever equipped with FBG and piezoelectric
sensors are used to successfully detect an impact
damage. In addition, the feasibility of damage
localisation and severity estimation is evaluated
based on the coupling found between damageand
OEV-induced feature changes.
The Android operating system powers the majority of the world’s mobile devices and has been becoming increasingly important in day-to-day digital forensics. Therefore, technicians and analysts are in need of reliable methods for extracting and analyzing memory images from live Android systems. This paper takes different existing, extraction methods and derives a universal, reproducible, reliably documented method for both extraction and analysis. In addition the VOLIX II front-end for the Volatility Framework is extended with additional functionality to make the analysis of Android memory images easier for technically non-adept users.