Anzeige
Erschienen in:
2015 | OriginalPaper | Buchkapitel
Improving Activity Prediction and Activity Scheduling in Smart Home Networks for Enhanced QoS
verfasst von : Koteswara Rao Vemu
Erschienen in: Distributed Computing and Internet Technology
Verlag: Springer International Publishing
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
This paper proposes an algorithm, to enhance the prediction accuracy of inhabitant activities in smart home networks. This work is an enhancement to SPEED [1], which was earlier drawn upon [2,3]. It works with the nested episodes of activity sequences along with the innermost episodes to generate user activity contexts. For a given sequence, our approach on an average predicts 86 percent accurately, which is much better than SPEED’s 59 percent accuracy.