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Collaborative Research Center SFB 876 - Providing Information by Resource-Constrained Data Analysis

The collaborative research center SFB876 brings together data mining and embedded systems. On the one hand, embedded systems can be further improved using machine learning. On the other hand, data mining algorithms can be realized in hardware, e.g. FPGAs, or run on GPGPUs. The restrictions of ubiquitous systems in computing power, memory, and energy demand new algorithms for known learning tasks. These resource bounded learning algorithms may also be applied on extremely large data bases on servers.

Impressions from SFB876-Summer School 2017

Participants of the Summer School 2017

The summer school 2017 took place in the last week of September. Following the link, you can see some picture from the lecturer and events.

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Best Paper Award for Subproject A4 at the IPIN 2017

Jani Tiemann

Jani Tiemann was awarded the "Best of the Best Papers"-Award for his latest submission to the International Conference on Indoor Positioning and Indoor Navigation (IPIN) in Sapporo, Japan. The paper "Scalable and Precise Multi-UAV Indoor Navigation using TDOA-based UWB Localization" describes a novel, radio-based, scalable, high-precision positioning algorithm. This contribution opens up new possibilities to deploy autonomous robots in scenarios such as logistics or emergency services. The jury particularly acknowledged the innovative new concept as well as the extensive experimental validation. The submission is an important contribution to the subproject A4 of the SFB 876 and the CPS.HUB/NRW.

Double Success for Subproject B4

Benjamin Sliwa

Within a week two independent publications from subproject B4 have been honored with a Best Paper Award at different conferences.

The joint work "On Avoiding Traffic Jams with Dynamic Self-Organizing Trip Planning" of Thomas Liebig and Maurice Sotzny received the Best Paper Award of the International Conference on Spatial Information Theory (COSIT) 2017.

The joint work "LIMoSim: A Lightweight and Integrated Approach for Simulating Vehicular Mobility with OMNeT++" of Benjamin Sliwa, Johannes Pillmann, Fabian Eckermann and Christian Wietfeld received the Best Contribution Award of the OMNeT++ Community Summit 2017.

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