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Description
  • The article addresses the problem of intelligent monitoring of facility management data flows collected from heterogeneous sources, including low-level data of sensors and probes, geographical indicators, scheduling and personal identification systems. We suggest the framework of analytical model, based on deriving descriptors which could sentinel the level of thermal comfort of working environments. The model aims to facilitate process of extracting essential characteristics of facility management for detecting dependencies and observing anomalies. The performance of the model was tested by experimental analysis of facility management of the university campus, designed for exploring how various environment variables affect temperature in the lecture rooms, equipped by the air conditioning devices.
  • The article addresses the problem of intelligent monitoring of facility management data flows collected from heterogeneous sources, including low-level data of sensors and probes, geographical indicators, scheduling and personal identification systems. We suggest the framework of analytical model, based on deriving descriptors which could sentinel the level of thermal comfort of working environments. The model aims to facilitate process of extracting essential characteristics of facility management for detecting dependencies and observing anomalies. The performance of the model was tested by experimental analysis of facility management of the university campus, designed for exploring how various environment variables affect temperature in the lecture rooms, equipped by the air conditioning devices. (en)
Title
  • Sensor Network Analytics for Intelligent Facility Management
  • Sensor Network Analytics for Intelligent Facility Management (en)
skos:prefLabel
  • Sensor Network Analytics for Intelligent Facility Management
  • Sensor Network Analytics for Intelligent Facility Management (en)
skos:notation
  • RIV/00216224:14330/13:00068804!RIV14-MSM-14330___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(LG13010), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 104679
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/13:00068804
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Facility management system; computational intelligence; machine learning; thermal comfort; sensor networks (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [5B58637DCA9D]
http://linked.open...v/mistoKonaniAkce
  • Sesimbra, Portugalsko
http://linked.open...i/riv/mistoVydani
  • Amsterdam
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 6th International Conference on Intelligent Interactive Multimedia Systems and Services (IIMSS2013)
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Pitner, Tomáš
  • Kriksciuniene, Dalia
  • Sakalauskas, Virgilijus
  • Kučera, Adam
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 0922-6389
number of pages
http://bibframe.org/vocab/doi
  • 10.3233/978-1-61499-262-2-212
http://purl.org/ne...btex#hasPublisher
  • IOS Press
https://schema.org/isbn
  • 9781614992615
http://localhost/t...ganizacniJednotka
  • 14330
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