1 citations · 1 across the 5 of their papers we have counts for
5 papers
The PM-EdgeMap: Towards Real-Time Process Mining on the Edge-Cloud Continuum
Hendrik Reiter, Christian Imenkamp, Olaf Landsiedel +3
Smart factories are evolving into Cyber-Physical Systems (CPS), demanding increased autonomy. This necessitates real-time decision making, facilitated by insights derived from sens…
DPM-Bench: Benchmark for Distributed Process Mining Algorithms on Cyber-Physical Systems
Hendrik Reiter, Patrick Rathje, Olaf Landsiedel +1
Process Mining is established in research and industry systems to analyze and optimize processes based on event data from information systems. Within this work, we accomodate proce…
Precise Ranging: Modeling Bias and Variance of Double-Sided Two-Way Ranging with TDoA Extraction under Multipath and NLOS Effects
Patrick Rathje, Olaf Landsiedel
Location-based services such as autonomous vehicles, drones, and indoor positioning require precise and scalable distance estimates. The bias and variance of range estimators inher…
EdgeMiner: Distributed Process Mining at the Data Sources
Julia Andersen, Patrick Rathje, Christian Imenkamp +2
Process mining is moving beyond mining traditional event logs and nowadays includes, for example, data sourced from sensors in the Internet of Things (IoT). The volume and velocity…
Time Difference of Arrival Extraction from Two-Way Ranging
Patrick Rathje, Olaf Landsiedel
Two-Way Ranging enables the distance estimation between two active parties and allows time of flight measurements despite relative clock offset and drift. Limited by the number of…