Eigenplaces: Segmenting Space through Digital Signatures

Researchers use eigendecomposition to leverage MIT's Wi-Fi network activity data and analyze to the physical environment. We proposed a method to analyze and categorize wireless access points based on common usage characteristics that reflect real-world, placed-based behaviors. It uses eigendec...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE pervasive computing 2010-01, Vol.9 (1), p.78-84
Hauptverfasser:	Calabrese, F., Reades, J., Ratti, C.
Format:	Artikel
Sprache:	eng
Schlagworte:	architectural space Byproducts campus Communication networks Correlation Data analysis Digital signatures eigenplaces eigenvalues Marketing management mobile environments mobile/wireless Networks Observers pervasive computing Potential well spectral signatures Technology management Technology planning Telecommunication traffic Television Transceivers ubiquitous computing Wi-Fi Wireless communication wireless communications
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!