- Geographic Information Systems Studies
- Urban Transport and Accessibility
- Renewable Energy and Sustainability
- Environmental Science and Technology
- linguistics and terminology studies
- Transportation and Mobility Innovations
- Semantic Web and Ontologies
- Advanced Measurement and Metrology Techniques
- 3D Modeling in Geospatial Applications
- Human Mobility and Location-Based Analysis
- Regional Economic and Spatial Analysis
- Urbanization and City Planning
- Ecology, Conservation, and Geographical Studies
- Optical measurement and interference techniques
- Industrial Vision Systems and Defect Detection
- demographic modeling and climate adaptation
- Environmental Impact and Sustainability
Czech Technical University in Prague
2024
Spiekermann and Wegener
2018
German nuclear power phase out in 2022 leads to significant reconstruction of the energy transmission system. Thus, efficient identification practical routes with minimum impact on ecological and economical interests is growing importance. Due sensitivity Germany’s public grid expansion (especially case overhead lines), participation planning process needs provide a high degree openness accountability. Therefore, new methodological approach for computer-assisted finding optimal power-line...
Abstract This paper considers the efficient quality assurance of diverse geometric objects through use a white-light interferometer, with primary focus on minimizing number required image captures. The motivation behind such an algorithm stems from extended recording times associated various free-form sheet metal parts. Given that capturing images microscope typically consumes 30–40 s, maintaining high-quality is imperative. A reduction in not only expedites part throughput but also enhances...
VISAR ist eine Erweiterung des Desktop-GIS ArcView (Version 3.2). Das Tool erlaubt es, raumliche Muster der Mobilitat (Aktionsraume) als Konfidenzellipsen darzustellen. is an extension for the desktop GIS The software tool visualises spatial patterns of mobility (activity space) as confidence ellipses.