Title :
Novel building management system based on machine learning and a cloud-based SOA for Ambient Living
Author :
Kyriazakos, Sofoklis ; Labropoulos, George ; Zonidis, Nikos ; Foti, Magda
Author_Institution :
Converge ICT Solutions & Services S.A., Athens, Greece
Abstract :
In this paper we present a novel Building Management System (BMS) that is based on advanced pattern matching algorithms and is utilizing a cloud-based Service Oriented Architecture (SOA) to offer a number of rich personalized applications for Ambient Living. The novelty presented in this paper is deriving from the evolution of a proprietary BMS product, namely Ecosystem, which is enhanced with the features presented in this paper, to address high demand for personalization and service adaptation in the new era of Information and Communication Technologies.
Keywords :
assisted living; building management systems; cloud computing; control engineering computing; learning (artificial intelligence); pattern matching; service-oriented architecture; BMS; SOA; ambient living; building management system; cloud-based service oriented architecture; machine learning; pattern matching algorithms; Buildings; Cognition; Ecosystems; Machine learning algorithms; Sensors; Supervised learning; Training; CBR; Ecosystem; SOA; machine learning; service elements;
Conference_Titel :
Wireless Communications, Vehicular Technology, Information Theory and Aerospace & Electronic Systems (VITAE), 2014 4th International Conference on
Conference_Location :
Aalborg
Print_ISBN :
978-1-4799-4626-6
DOI :
10.1109/VITAE.2014.6934483
