Self-Regulated Learning for Entrepreneurs – F?rderung der Selbstregulationsf?higkeit angehender Unternehmer*innen
Unternehmer/-innen stehen – gerade in der Gründungsphase – h?ufig vor der Herausforderung, unter gro?er Unsicherheit und auf Basis lückenhafter Informationen zu handeln. Die Forschung interessiert sich zunehmend für die Frage, welche psychologischen Merkmale Unternehmern/-innen dabei helfen, solche Unsicherheiten zu bew?ltigen. Wie entscheiden sie,
Duration: 04/2021 - 03/2024
Funded by: DFG
Prozessorientierte wirtschaftliche Bewertung und Auswahl von IT-Sicherheitsma?nahmen
Aktuelle Technologien, bspw. aus den Bereichen Cloud-Computing oder Data-Science, bieten einerseits erhebliches Potential für den Erhalt und die St?rkung der Wettbewerbsposition von Unternehmen. Andererseits birgt die Einführung solcher Technologien neue Risiken, bspw. in Verbindung mit Data-Security, Cloud-Hacking oder Datenschutz. Um diesen ...
Duration: 04/2021 - 06/2024
Funded by: BMBF
Remaining Useful Lifetime for New and Used Technical Systems under Non-Stationary Conditions
Condition-based maintenance and predictive maintenance are increasingly applied in the industry due to their ability of ensuring an optimum utilization of the monitored system. These maintenance strategies allow for diagnosing and predicting the health states of the system under stationary operating conditions. However, technical systems mostly ...
Duration: 04/2021 - 09/2024
Funded by: DFG
SAFE - Streaming approaches for Europe Enhancing the digital competences by streaming approaches for schools to tackle the challenges of COVID-19
COVID-19 is affecting daily work in all schools. In the current situation, which is strongly characterized by the effects of contact restrictions due to the corona pandemic, it is becoming clear that schools at all levels, i.e. primary, secondary and upper secondary education, are faced with the challenge of teaching in online formats. The Erasmus+ ...
Duration: 03/2021 - 02/2023
Funded by: EU
tRATEmark - Automated evaluation of word marks using machine learning methods
Today, intangible assets determine an average of 84% of a company's value. Among these intangible assets, brands play an important role, which in the form of words, phrases and logos significantly favor the market success of a company. The project aims to develop a method for the automated valuation of brands that is capable of continuously ...
Duration: 03/2021 - 05/2023
Funded by: BMWK
International Computer and Information Literacy Study 2023
Mit der international vergleichenden Schulleistungsstudie ICILS 2023 (International Computer and Information Literacy Study 2023) realisiert die IEA (International Association for the Evaluation of Educational Achievement) nach ICILS 2013 und ICILS 2018 den dritten Zyklus der Studie ICILS. Mithilfe eines international entwickelten und elaborierten ...
Duration: 01/2021 - 12/2026
Funded by: BMBF
Explainable Feature Importance: Interpretable machine learning through game theoretic analysis of influence variables and interaction effects
Machine learning (ML) methods support the search for patterns in data and relationships between variables, e.g. in complex bio-medical systems. In this way, they can provide new insights and improve decisions in fields of action such as medical diagnostics. In addition to the quality of the models learned from the data, the trust of human experts ...
Duration: 01/2021 - 12/2024
Funded by: MKW NRW
Technically Enabled Explaining of Speaker Traits
The speech signal is a rich source of informa?tion that conveys linguistic but also what is termed para- or extralinguistic content, revea?ling a speaker’s identity, gender, emotional or cognitive state, age, and health. These traits have been the subject of many investigations in phonetics, but due to the high complexity of the underlying ...
Duration: 01/2021 - 12/2025
Funded by: DFG
Energy Efficient Experimental Vibration Analysis
The aim of the project is to validate an adaptive control method in conjunction with the use of an innovative coupling element for the efficient analysis of unknown non-linear vibration behavior of mechanical structures. Modern resource-saving structures exhibit an ever increasing degree of non-linear behavior due to lightweight construction, new ...
Duration: 01/2021 - 12/2022
Funded by: MWIKE NRW
Robustness of sensors and sensor systems against environmental conditions for Highly Automated Driving
The project pursues the development of innovative sensor technology and adapted test procedures for highly automated driving under adverse weather conditions in which current assistance systems do not work reliably. For this purpose, individual sensors are virtually mapped and simulated under bad weather conditions. In addition, overall sensor ...
Duration: 01/2021 - 12/2024
Funded by: BMWK