Ambient Intelligence (AmI) applications need information about the surrounding environment. This can be collected by means of Wireless Sensor Networks (WSN) that also analyze and build forecasts for applications. The RUBICON Learning Layer implements a distributed neural computation over WSN. In this system, measurements taken by sensors are combined by using neural computation to provide future forecasts based on previous measurements and on the past knowledge of the environment.
Distributed neural computation over WSN in ambient intelligence
Vairo C
2013
Abstract
Ambient Intelligence (AmI) applications need information about the surrounding environment. This can be collected by means of Wireless Sensor Networks (WSN) that also analyze and build forecasts for applications. The RUBICON Learning Layer implements a distributed neural computation over WSN. In this system, measurements taken by sensors are combined by using neural computation to provide future forecasts based on previous measurements and on the past knowledge of the environment.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
prod_278951-doc_78685.pdf
solo utenti autorizzati
Descrizione: Distributed neural computation over WSN in ambient intelligence
Tipologia:
Versione Editoriale (PDF)
Dimensione
490.68 kB
Formato
Adobe PDF
|
490.68 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.
