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Communication dans un congrès

DNAS-STriDE Framework for Human Behavior Modeling in Dynamic Environments

Abstract : Numerous studies have been conducted over the past few decades on human behavior modeling and simulation by incorporating the dynamic behaviors of people for different Facility Management (FM) applications. For example; the Drivers, Needs, Actions and Systems (DNAS) framework which provides a standardized way to conceptually represent energy-related occupant behaviors in buildings and allows the exchange of occupant behavior information and integration with building simulation tools. Despite numerous studies dealing with dynamic interactions of the building occupants, there is still a gap exists in the knowledge modeling of occupant behaviors for dynamic building environments. Such environments are best observed on construction sites where the contextual information linked to the building spaces evolve often over time in terms of their location, size, properties and relationships with the site environment. The evolving contextual information of a building is required to be mapped with the occupant interactions for an improved understanding of their changing behaviors. To fill this research gap, a framework is designed for providing a ‘blueprint map’ to integrate DNAS framework with our Semantic Trajectories in Dynamic Environments (STriDE) data model to incorporate the dynamicity of building environments. The proposed framework extends the usability of a DNAS framework by providing a centralized knowledge base that holds the mobility data of occupants with relevant historicized contextual information of the building environment to study occupant behaviors for different FM applications.
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Communication dans un congrès
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Contributeur : Imvia - Université de Bourgogne Connectez-vous pour contacter le contributeur
Soumis le : jeudi 7 novembre 2019 - 16:27:38
Dernière modification le : mardi 3 mars 2020 - 19:18:37



Muhammad Arslan, Christophe Cruz, Dominique Ginhac. DNAS-STriDE Framework for Human Behavior Modeling in Dynamic Environments. 19th International Conference on Computational Science– ICCS 2019, Jun 2019, Faro, Portugal. pp.787-793, ⟨10.007/978-3-030-22750-0_79⟩. ⟨hal-02354300⟩



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