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dc.contributor.authorMartinsen, Jørund
dc.date.accessioned2020-03-02T12:36:58Z
dc.date.available2020-03-02T12:36:58Z
dc.date.issued2019
dc.identifier.urihttps://hdl.handle.net/11250/2644656
dc.description.abstractAs SMART house technology has emerged, the need to estimate position of residents has been important for several cases. In this project, a model of PIR sensor data is presented. The model should be able to predict occupation status, now or in the near future. This does not include the location inside the house. Previous work in this area is summarized in [3]. Here, several approaches and methods are reviewed. Some of these are touched upon here and also implemented in the model. The software is written in WPF, C#, using the Unified Process as a development process. Documentation is done using UML schemes.en_US
dc.language.isoengen_US
dc.publisherUniversity of South-Eastern Norwayen_US
dc.subjectsystem developmenten_US
dc.subjectPIRModen_US
dc.subjectSoftware developmenten_US
dc.subjectsmart housesen_US
dc.titleModeling of building occupation using motion sensor dataen_US
dc.typeMaster thesisen_US
dc.rights.holderCopyright of the authoren_US
dc.source.pagenumber124en_US


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