This paper introduces a proposal for a smart environment capable of deploying enhanced services by using a synergic approach based on Adaptive Neuro-Fuzzy Inference System (ANFIS) and Fuzzy Markup Language (FML). In detail, this approach realizes a long-life learning strategy able to generate context-aware services and actualize them through abstraction techniques in order to maximize the users' comfort and hardware interoperability level. As will be shown in experimental results, where a usability study has been performed, the proposed approach is capable of anticipating user's requirements by automatically generating the most suitable collection of interoperable services for improving users' comfort. © 2012 IEEE.
Using ANFIS and FML for deploying transparent services in smart environments / Acampora, Giovanni; Loia, Vincenzo; Vitiello, Autilia. - (2012), pp. 628-633. (Intervento presentato al convegno Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS 2012)) [10.1109/IMIS.2012.50].
Using ANFIS and FML for deploying transparent services in smart environments
Acampora Giovanni;Vitiello Autilia
2012
Abstract
This paper introduces a proposal for a smart environment capable of deploying enhanced services by using a synergic approach based on Adaptive Neuro-Fuzzy Inference System (ANFIS) and Fuzzy Markup Language (FML). In detail, this approach realizes a long-life learning strategy able to generate context-aware services and actualize them through abstraction techniques in order to maximize the users' comfort and hardware interoperability level. As will be shown in experimental results, where a usability study has been performed, the proposed approach is capable of anticipating user's requirements by automatically generating the most suitable collection of interoperable services for improving users' comfort. © 2012 IEEE.File | Dimensione | Formato | |
---|---|---|---|
Using ANFIS and FML for deploying transparent services in smart environments.pdf
non disponibili
Tipologia:
Documento in Post-print
Licenza:
Accesso privato/ristretto
Dimensione
595.64 kB
Formato
Adobe PDF
|
595.64 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.