0000000000379275

AUTHOR

Ana-maria Roxin

showing 3 related works from this author

A Review on Applications of Big Data for Disaster Management

2017

International audience; The term " disaster management " comprises both natural and man-made disasters. Highly pervaded with various types of sensors, our environment generates large amounts of data. Thus, big data applications in the field of disaster management should adopt a modular view, going from a component to nation scale. Current research trends mainly aim at integrating component, building, neighborhood and city levels, neglecting the region level for managing disasters. Current research on big data mainly address smart buildings and smart grids, notably in the following areas: energy waste management, prediction and planning of power generation needs, improved comfort, usability …

[ INFO ] Computer Science [cs]Computer scienceBig data02 engineering and technology[INFO] Computer Science [cs]7. Clean energydisasters12. Responsible consumptionbig data020204 information systemsComponent (UML)11. Sustainability0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]Building automationEmergency managementbusiness.industry020207 software engineeringUsabilityEnergy consumptionDisaster managementsensor dataSystematic reviewSmart gridRisk analysis (engineering)13. Climate actionbusiness
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Data interoperability for a Multi-scale model (BIM/CIM/LIM)

2019

Compliance checking for building models, cities and territories involve formalizing a set of model schema knowledge and constraint. The objective of our study is to propose: an information model to federate heterogeneous data sources describing an urban area (building and building environment) along with a method for formally specifying of urban rules. The overall goal we pursue is to be able to query and to verify data against different regulations and/or requirements. The purpose of this article is to describe our approach for interoperability among different data sources (e.g. IFC, CityGML) thus creating a consistent description of an urban area.

[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO]Semantic interoperability[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]CityGMLGISSIG[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]federation[INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL]BIMIFCCIMFederation BIM[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation
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Big Data Applications for Disaster Management

2017

International audience; The term "disaster management" comprises both natural and man-made disasters. Highly pervaded with various types of sensors, our environment generates large amounts of data. Thus, big data applications in the field of disaster management should adopt a modular view, going from a component to nation scale. Current research trends mainly aim at integrating component, building, neighborhood and city levels, neglecting the region level for managing disasters. Current research on big data mainly address smart buildings and smart grids, notably in the following areas: energy waste management, prediction and planning of power generation needs (based on smart meter readings,…

big datadisaster management[SHS.GESTION]Humanities and Social Sciences/Business administration[INFO]Computer Science [cs][INFO] Computer Science [cs]ChallengesNetworks[SHS.GESTION] Humanities and Social Sciences/Business administrationClouddisasterssensor data
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