Adam Krasuski

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We discuss how to support commanders at the fire ground. We present a risk management framework for modelling the fire phenomena and for communicating with firefighters. We claim that appropriate derivation, selection and representation of information is the crucial aspect of decision support, as it may improve the commander's perception.
In this paper, we summarize AAIA'15 data mining competition: Tagging Firefighter Activities at a Fire Scene, which was held between March 9 and July 6, 2015. We describe the scope and background of the competition. We also reveal details regarding the data set used in the competition, which was collected and tagged specifically for the purpose of this data(More)
In this paper we summarize AAIA'14 Data Mining Competition: Key risk factors for Polish State Fire Service which was held between February 3, 2014 and May 5, 2014 at the Knowledge Pit platform We describe the scope and background of this competition and we explain in details the evaluation procedure. We also briefly overview(More)
  • Adam Krasuski
  • 2014 Federated Conference on Computer Science and…
  • 2014
We present a framework designed for the risk management at the emergency scene. The system that implements the framework is focused on supporting an Incident Commander during the fire and rescue actions. The system is able to assess and manage the risks with the use of sensory data, ontology modelling and reasoning techniques from AI domain. Within the(More)
In the article we present a comparison of the classification algorithms focused on labeling Fire&Rescue incidents with threats appearing at the emergency scene. Each of the incidents is reported in a database and characterized by a set of quantitative attributes and by natural language descriptions of the cause, the scene and the course of actions(More)
We present an approach for evaluation of a heat release rate of compartment fires. The approach is based on the idea of matching the actual condition of the fire to the pregenerated CFD simulations. We use an IR image of imprint of the temperature on the ceiling as a similarity relationship between actual fire and the set of the simulations. We extract the(More)
This paper introduces a model fusion approach that improves the effectiveness of Personal Dead Reckoning Systems that exploits foot-mounted Inertial Measurement Units. Our solution estimates a sensor orientation by exploiting the Madgwick's algorithm integrated with popular Kalman-based solution. This way, attitude and heading correction is not based on the(More)