Macro programming a spatial computer is the ability to specify application tasks at a global level while relying on compiler-like software to translate the global tasks into the individual component activities. Bayesian networks can be regarded as a powerful tool for macro programming a spatial computer, such as a dense sensor network, in a variety of data analysis applications. In this article we present our architecture to program a spatial computer by means of a distributed Bayesian network and present some applications we developed over a sensor network testing both inference and anomaly-detection analysis.

Macro Programming a Spatial Computer with Bayesian Networks / Mamei, Marco. - In: ACM TRANSACTIONS ON AUTONOMOUS AND ADAPTIVE SYSTEMS. - ISSN 1556-4665. - STAMPA. - 6(2):(2011), pp. 1-25. [10.1145/1968513.1968519]

Macro Programming a Spatial Computer with Bayesian Networks

MAMEI, Marco
2011

Abstract

Macro programming a spatial computer is the ability to specify application tasks at a global level while relying on compiler-like software to translate the global tasks into the individual component activities. Bayesian networks can be regarded as a powerful tool for macro programming a spatial computer, such as a dense sensor network, in a variety of data analysis applications. In this article we present our architecture to program a spatial computer by means of a distributed Bayesian network and present some applications we developed over a sensor network testing both inference and anomaly-detection analysis.
2011
6(2)
1
25
Macro Programming a Spatial Computer with Bayesian Networks / Mamei, Marco. - In: ACM TRANSACTIONS ON AUTONOMOUS AND ADAPTIVE SYSTEMS. - ISSN 1556-4665. - STAMPA. - 6(2):(2011), pp. 1-25. [10.1145/1968513.1968519]
Mamei, Marco
File in questo prodotto:
File Dimensione Formato  
bayes-taas.pdf

Accesso riservato

Tipologia: Versione dell'autore revisionata e accettata per la pubblicazione
Dimensione 1.94 MB
Formato Adobe PDF
1.94 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/851897
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 1
social impact