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Modelling Contextual Data for Smart Environments. Case Study of a System to Support Mountain Rescuers

Context-aware pervasive systems are complex, due to the need to gather detailed environmental information and to perform a variety of context reasoning processes in order to adapt behaviours accordingly. These operations are merged seamlessly. We show the feasibility and vitality of a fully designed...

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Detalles Bibliográficos
Autor principal: Klimek, Radosław
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302820/
http://dx.doi.org/10.1007/978-3-030-50426-7_21
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author Klimek, Radosław
author_facet Klimek, Radosław
author_sort Klimek, Radosław
collection PubMed
description Context-aware pervasive systems are complex, due to the need to gather detailed environmental information and to perform a variety of context reasoning processes in order to adapt behaviours accordingly. These operations are merged seamlessly. We show the feasibility and vitality of a fully designed system for mountain rescue operations, with various aspects of the contextual processing in middleware, as well as analyse its context life cycle. The system is verified through intensive experiments with a rich set of categorised context data. The contextual processing is shown in different weather scenarios. The service is geared towards software development, converging IoT (Internet of Things) and cloud computing with specific reference to smart application scenarios.
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spelling pubmed-73028202020-06-19 Modelling Contextual Data for Smart Environments. Case Study of a System to Support Mountain Rescuers Klimek, Radosław Computational Science – ICCS 2020 Article Context-aware pervasive systems are complex, due to the need to gather detailed environmental information and to perform a variety of context reasoning processes in order to adapt behaviours accordingly. These operations are merged seamlessly. We show the feasibility and vitality of a fully designed system for mountain rescue operations, with various aspects of the contextual processing in middleware, as well as analyse its context life cycle. The system is verified through intensive experiments with a rich set of categorised context data. The contextual processing is shown in different weather scenarios. The service is geared towards software development, converging IoT (Internet of Things) and cloud computing with specific reference to smart application scenarios. 2020-05-25 /pmc/articles/PMC7302820/ http://dx.doi.org/10.1007/978-3-030-50426-7_21 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Klimek, Radosław
Modelling Contextual Data for Smart Environments. Case Study of a System to Support Mountain Rescuers
title Modelling Contextual Data for Smart Environments. Case Study of a System to Support Mountain Rescuers
title_full Modelling Contextual Data for Smart Environments. Case Study of a System to Support Mountain Rescuers
title_fullStr Modelling Contextual Data for Smart Environments. Case Study of a System to Support Mountain Rescuers
title_full_unstemmed Modelling Contextual Data for Smart Environments. Case Study of a System to Support Mountain Rescuers
title_short Modelling Contextual Data for Smart Environments. Case Study of a System to Support Mountain Rescuers
title_sort modelling contextual data for smart environments. case study of a system to support mountain rescuers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302820/
http://dx.doi.org/10.1007/978-3-030-50426-7_21
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