Ambient-aware continuous aid for mountain rescue activities
Radoslaw Klimek

TL;DR
This paper presents a comprehensive ambient-aware system designed to support mountain rescue operations by processing heterogeneous environmental data and providing proactive, context-aware assistance through a cloud-based middleware platform.
Contribution
It introduces a novel context processing framework integrated with a message streaming broker, repositories, and a SAT solver, tailored for demanding mountain rescue environments.
Findings
Validated with five weather scenarios in mountain environments
Demonstrated effective merging of sensor data into smart decisions
Enabled proactive rescue support through a cloud middleware platform
Abstract
Ambient-awareness in conjunction with pervasive computing is a significant challenge for system designers. It follows the necessity of gathering raw, massive and heterogeneous environmental data \newrrr{which we} obtained, while middleware processes must merge context modelling and reasoning seamlessly. We proposed a system supporting mountain rescuers which is demanding due to the large number of environmental objects interacting, as well as high data variability. We presented complex context processing embedded in the proposed context life cycle and implemented it \erarrr{following a proposed workflow for a demanding}\newrrr{in a difficult} mountain environment. We introduced five weather scenarios which are a basis for contextual and perceptual processing during the validation of our model. The system \erarrr{binds together} \newrrr{merges} a message streaming broker for massive data…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
