BPM-I4.0 - Process mining for analyzing and prescribing industrial core processes
Nowadays, companies and their processes have to be adapted ever more quickly and flexibly. Process mining methods can create transparency and a better understanding of processes. Process mining makes it possible to identify, analyze and improve business processes based on data.Up to now, process mining research has primarily focused on structured ...
Duration: 04/2021 - 06/2023
Contact: Prof. Dr. Daniel Beverungen, Prof. Dr. Oliver Müller
Prozessorientierte wirtschaftliche Bewertung und Auswahl von IT-Sicherheitsmaßnahmen
Aktuelle Technologien, bspw. aus den Bereichen Cloud-Computing oder Data-Science, bieten einerseits erhebliches Potential für den Erhalt und die Stärkung 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
Algorithms for Swarm Robotics: Distributed Computing meets Dynamical Systems
Das Ziel dieses Projekts ist es, die Fähigkeiten und Grenzen lokaler, verteilter Strategien für Schwärme mobiler Roboter zu untersuchen. Solche Strategien bestehen aus Protokollen, die von den einzelnen Robotern ausgeführt werden. Sie sollen die Bewegungen der Roboter so steuern, dass aus einer beliebigen Ausgangskonfiguration der Roboter global ...
Duration: 04/2021 - 08/2024
Contact: Jannik Castenow, Jonas Harbig
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
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
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
Technically Enabled Explaining of Speaker Traits
The speech signal is a rich source of information that conveys linguistic but also what is termed para- or extralinguistic content, revealing 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
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
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
Traffic Control for MixedAutonomy Systems
Automated driving in combination with Car2X communication opens up promising possibilities for future traffic systems. The cooperative use of shared real-time information enables a significant increase in the efficiency of today's traffic infra¬structure. With this goal in mind, the project aims to use new technologies from the field of traffic ...
Duration: 01/2021 - 12/2024