A5016622544- Innovation, Technology, and Society
- Intellectual Property and Patents
- Innovation Policy and R&D
- Innovation and Knowledge Management
- Marine and coastal ecosystems
- Remote Sensing in Agriculture
- Water Quality Monitoring and Analysis
- Cell Image Analysis Techniques
- Microfluidic and Bio-sensing Technologies
- Transportation and Mobility Innovations
- Remote Sensing and LiDAR Applications
- Machine Learning in Materials Science
- Innovation Diffusion and Forecasting
- Digital Holography and Microscopy
- Firm Innovation and Growth
- Computational Drug Discovery Methods
- Labor Market and Education
- Diatoms and Algae Research
- Advanced Image and Video Retrieval Techniques
- Innovative Approaches in Technology and Social Development
- Digital Innovation in Industries
- University-Industry-Government Innovation Models
- Sustainability and Climate Change Governance
- Corporate Governance and Management
- Image Processing Techniques and Applications
Zentrum für Sonnenenergie- und Wasserstoff-Forschung Baden-Württemberg
2018-2023
University of California, Los Angeles
2018-2019
Technical University of Munich
2012-2013
We report a deep learning-enabled field-portable and cost-effective imaging flow cytometer that automatically captures phase-contrast color images of the contents continuously flowing water sample at throughput 100 mL/h. The device is based on partially coherent lens-free holographic microscopy acquires diffraction patterns micro-objects inside microfluidic channel. These are reconstructed in real time using learning-based phase-recovery image-reconstruction method to produce image each...
The German Climate Action Plan targets an electric vehicle fleet of 6 million by 2030. However, from today’s perspective, we are far away a path that is steep enough to reach this goal. In order identify how different policy instruments can stimulate e-mobility diffusion in Germany, build and calibrate agent-based simulation model (ABM). allows for the consideration rich dynamics social influence as well heterogeneity actors flexible be applied with other technologies. We simulate scenarios...
To map the aquatic vegetation of Bavarian (Germany) freshwater lakes in a large-scaled and quick way, remote sensing is helpful tool. For interpretation data, spectral library different macrophyte sediment reflectances under development. Therefore. multi-temporal situ were sampled from May to October 2011 with hyperspectral RAMSES spectroradiometers. Occurring variations during growing season could be linked biometric phenological data particulate species. Principal component analyses showed...
Kurzfassung Industrial Data Science eröffnet produzierenden Unternehmen innovative Möglichkeiten zur Optimierung von Produkten und Prozessen sowie der Initiierung neuer Geschäftsmodelle in Wertschöpfungsnetzwerken. Um zum zielgerichteten Einsatz moderner Analysetechnologien zu befähigen, werden diesem Beitrag das Konzept eines integrierten, datengetriebenen Referenzbaukastens industriellen Datenanalyse dessen Realisierung als kollaborative Service-Plattform vorgestellt beispielhaft...
Efforts to reduce global greenhouse gas emissions have had limited success. For many, the hopes rest on new energy innovations advance transition process. In this paper, we develop a Responsible Research and Innovation (RRI) base indicator system steer design of in field and, thus, improve social acceptance these innovations. We propose guideline for its application assist R&D performing organizations funding design, selection, communication research proposals. The is intended promote early...
Gemeinsam mit Kathrin Demmler und Patrick Wolf wird in diesem Gespräch Katharina Jäntschi ausgelotet, wie gesellschaftliche Transformationen, insbesondere Bezug auf Geschlechtergerechtigkeit Diversität die (Medien-) Pädagogik wandeln welche Erwartungen daraus an pädagogische Fachkräfte entstehen. Darüber hinaus diskutiert, schwelende Grundvorwürfe gegenüber bestimmten Generationen konstruktiv ausgetragen werden können. Neben Schutz- Ausprobierräumen gehen Gesprächspartner*innen spezifischen...
Abstract The present paper analyzes development patterns in research networks and technology as well their co-evolution by the example of currently highly transformative German automotive industry. We therefore introduce a consistent network-based approach for measuring change technological composition patents. Our results show that applied method is particularly useful identifying structural similarities main changes patent networks. Further, investigation co-evolutionary processes...