KRIKSCIUNIENE, Dalia, Tomáš PITNER, Adam KUČERA and Virgilijus SAKALAUSKAS. Sensor Network Analytics for Intelligent Facility Management. In George A. Tsihrintzis, Maria Virvou, Toyohide Watanabe, Lakhmi C. Jain, Robert J. Howlett. Proceedings of the 6th International Conference on Intelligent Interactive Multimedia Systems and Services (IIMSS2013). Amsterdam: IOS Press, 2013, p. 212-221. ISBN 978-1-61499-261-5. Available from: https://dx.doi.org/10.3233/978-1-61499-262-2-212.
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Basic information
Original name Sensor Network Analytics for Intelligent Facility Management
Authors KRIKSCIUNIENE, Dalia (440 Lithuania, belonging to the institution), Tomáš PITNER (203 Czech Republic, guarantor, belonging to the institution), Adam KUČERA (203 Czech Republic, belonging to the institution) and Virgilijus SAKALAUSKAS (440 Lithuania).
Edition Amsterdam, Proceedings of the 6th International Conference on Intelligent Interactive Multimedia Systems and Services (IIMSS2013), p. 212-221, 10 pp. 2013.
Publisher IOS Press
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
RIV identification code RIV/00216224:14330/13:00068804
Organization unit Faculty of Informatics
ISBN 978-1-61499-261-5
ISSN 0922-6389
Doi http://dx.doi.org/10.3233/978-1-61499-262-2-212
UT WoS 000339340900023
Keywords in English Facility management system;computational intelligence;machine learning;thermal comfort;sensor networks
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 28/4/2014 00:12.
Abstract
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.
Links
LG13010, research and development projectName: Zastoupení ČR v European Research Consortium for Informatics and Mathematics (Acronym: ERCIM-CZ)
Investor: Ministry of Education, Youth and Sports of the CR
PrintDisplayed: 17/7/2024 08:31