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  • 标题:Data processing platform for indoor localization framework
  • 本地全文:下载
  • 作者:Vaclav Kaczmarczyk ; Radek Kuchta ; Zdenka Kuchtova
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:6
  • 页码:508-513
  • DOI:10.1016/j.ifacol.2018.07.111
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractNowadays the wireless localization of people or other subjects within buildings is a current topic. This article presents a complete system for collecting, processing and presenting localization data within buildings or open spaces. The system is based on applications and services that can be run either on a dedicated Microsoft Serves OS or on the MS Azure platform. The location data are obtained from a network of wireless devices deployed according to certain rules in the zone of interest.
  • 关键词:KeywordsIndoor localizationRangingInternet of ThingsMicrosoft AzureCloud processing
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