A5090978392- Advanced Chemical Sensor Technologies
- Spectroscopy and Laser Applications
- Maritime Navigation and Safety
- Analytical Chemistry and Sensors
- Air Quality Monitoring and Forecasting
- Microfluidic and Capillary Electrophoresis Applications
- Maritime and Coastal Archaeology
- Remote Sensing and LiDAR Applications
- Impact of Light on Environment and Health
- Vehicle emissions and performance
- Maritime Security and History
- Gas Sensing Nanomaterials and Sensors
- Biosensors and Analytical Detection
- Advanced biosensing and bioanalysis techniques
Technical University of Munich
2022-2023
Regensburg University of Applied Sciences
2022-2023
Trace gas analysis in breath is challenging due to the vast number of different components. We present a highly sensitive quantum cascade laser based photoacoustic setup for analysis. Scanning range between 8263 and 8270 nm with spectral resolution 48 pm, we are able quantify acetone ethanol within typical matrix containing water CO2. photoacoustically acquired spectra this region mid-infra-red light prove that those do not suffer from non-spectral interferences. The purely additive behavior...
In process analytics or environmental monitoring, the real-time recording of composition complex samples over a long period time presents great challenge. Promising solutions are label-free techniques such as surface plasmon resonance (SPR) spectroscopy. They are, however, often limited due to poor reversibility analyte binding. this work, we introduce how SPR imaging in combination with semi-selective functional and smart data analysis can identify small chemically similar molecules. Our...
A modeling approach to create a photoacoustic spectrum from synthetic data is presented and evaluated. The resulting model reaches MAPE score of 2.7% can be used enable data-driven development in future work.
Abstract Artificial neural networks (ANNs) are used in quantitative infrared gas spectroscopy to predict concentrations on multi-component absorption spectra. Training of ANNs requires vast amounts labelled training data which may be elaborate and time consuming obtain. Additional can gained by the utilization synthetically generated spectra, but at cost systematic deviations measured data. Here, we present two approaches train with a combination comparatively small, sets For first approach...
To decrease the number of kilometers driven during development autonomous cars or driving assistance systems, performant simulation tools are necessary. Currently, domain distance effects between and reality limiting successful application rendering engines in data-driven perception tasks. In order to mitigate those effects, have be as close possible for given task. For optical sensors like cameras, luminance scene is essential. We provide within this paper a method measure rendered scenes...
Refugees trying to get Europe via the Mediterranean often face human rights violations. The present situation is not in line with UN's SDG's 10 and 16. We Argo: a semi-automatically created vessel classification dataset focused on small boats, aim enable NGOs public detect refugee boats satellite imagery. achieve recall of 91% ships. With tool developed top results presented here, could collect information hold institutions participating illegal activities accountable.
Trace gas analysis in breath is challenging due to the vast number of different components. We present a highly sensitive quantum cascade laser based photoacoustic setup for analysis. Scanning range between 8260 and 8270 nm with spectral resolution 48 pm, we are able quantify acetone ethanol within typical matrix containing water CO2. photoacoustically acquired spectra this region mid-infra-red light prove that those do not suffer from non-spectral interferences. The purely additive behavior...