| DOI | Trouver le DOI : https://doi.org/10.1109/DS-RT52167.2021.9576133 |
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| Auteur | Rechercher : Power, Joshua; Rechercher : Jacoby, Derek; Rechercher : Sun, Xi; Rechercher : Plaudis, Matt; Rechercher : Drouin, Marc-Antoine1; Rechercher : Coady, Yvonne; Rechercher : Meng, Julian |
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| Affiliation | - Conseil national de recherches du Canada. Technologies numériques
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| Format | Texte, Article |
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| Conférence | 2021 IEEE/ACM 25th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), Sept. 27-29, 2021, Valencia, Spain [Virtual Host City] |
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| Description physique | 2 p. |
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| Sujet | real-time simulation; data driven mission planning; distributed system; cloud processing; machine learning; Internet of Underwater Things; Internet of Flyings Things; marine megafauna |
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| Résumé | Current mission planning simulations are typically carefully designed around a tradeoff between tight integration with accurate geospatial data or meeting real-time demands. Our proposed system is designed to achieve both. Deriving from work on cloud geospatial stores and mission planning systems, we are developing a platform for consuming new data, building it into models accessible from a real-time simulation server, and constructing machine learning systems over this data. This combination of large datasets with continuous pipelines feeding a real-time simulation forces us to bring together innovations on both the cloud infrastructure and user interface level. |
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| Date de publication | 2021-11-01 |
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| Maison d’édition | IEEE |
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| Dans | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | 74c35531-0bf0-4695-8412-efc79bd7146d |
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| Enregistrement créé | 2021-11-10 |
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| Enregistrement modifié | 2021-11-12 |
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