Within the BMBF-funded project “Lehre hoch Forschung”, several measures to establish research-oriented teaching at a much earlier stage than in traditional university teaching are implemented at KIT – both in individual institutes as well as in the central institutions. TECO / the Chair for Pervasive Computing Systems is involved in the more…
Germany has a leading position in the development of mechatronic systems. However, manufacturers often face the following contradiction: on the one hand they themselves manufacture high-tech for the production of tomorrow and on the other hand due to the high diversity in their own production they become fragmented with to manual processes. The lack of more…
In order to meet the increasing demands for high resolution and high quality environmental data, e.g. in Smart City scenarios, new approaches for sensing systems have to be considered. One alternative for using few professional measuring stations consists in crowdsourcing the data collection – Participatory Sensing. Data is collected highly distributed with mobile and inexpensive more…
The ubiquity of mobile networks and smartphones in principle offers an excellent infrastructure for participatory environmental measurements, e.g. in Smart City scenarios. Modern smartphones are already equipped with a variety of internal sensors. In some current models, even environmental sensors for measuring temperature, humidity and air pressure can be found. However, phenomena such as the more…
Matthias Budde and Jan-Frederic Markert from @tecoKIT are accepted in next year’s #BMBF #SoftwareCampus and preparing their final proposals.
Description The Smart Data Innovation Lab (SDIL) is a German nationwide research initiative from the Work Group 6 of national IT Summit The SDIL has been launched by national politics and IT industry on 8th January, 2014 at the Karlsruhe Institute of Technology (KIT). The goal of the SDIL more…
The Software Campus project InstaGuide tackles the problem of document generation in high variability intelligent industrial environments. The goal is to create a software prototype which can facilitate the dynamic generation of product documentation based not only on the current software configuration but also on the context at hand. At the core, it enables association, more…
Human activity recognition, i.e. the recognition of a users’ current physical activity (e.g. walking, eating, sleeping) by monitoring and analyzing her/his behavior and the environment, can improve quality of living. However, current sensors for activity recognition have a number of drawbacks such as installation/attachment effort, battery runtime or privacy concerns. In AKTIFUNK, TECO is researching more…
In Germany, the majority of people already owns a smartphone or another mobile device – and carries, unconsciously, a well-equipped sensor system with them. Just a few of these sensors are sufficient to draw conclusions about current and future activities or the context of the owner. Even non-physical data sources may provide relevant information for more…
The Software Campus project PreTIGA is about optimizing player experience in game environments based on a generalizable model. The objectives are to build a game model generalizable to diverse game environments as a foundation to predict situations of interest like a decrease in fun or the drop-out of players and to proactively prevent such situation. more…
