SDB - Software Defined Buildings, UC Berkeley
Empirically-Driven Verification
This project focuses on the use of physical measurements to verify relative spatial information, discovering anomalous behavior, and verifying functional information. It lays the foundation for various kinds of verification techniques that can be applied on the building data.
Empirical Mode Decomposition for Intrinsic-Relationship Extraction in Large Sensor Deployments
Romain Fontugne, Jorge Ortiz, David Culler, Hiroshi Esaki.
1st International Workshop on the Internet of Things applications. April 2012.
[pdf]
Strip, Bind, and Search: A Method for Identifying Abnormal Energy Consumption in Buildings
Romain Fontugne, Jorge Ortiz, Nicolas Tremblay, Pierre Borgnat, Patrick Flandrin, Kensuke Fukuda, David E. Culler, Hiroshi Esaki.
12th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN 2013). April, 2013.
[pdf]
Towards Automatic Spatial Verification of Sensor Placement in Buildings
Denzhi Hong, Jorge Ortiz, Kamin Whitehouse, and David E. Culler,
5th ACM Workshop On Embedded Systems For Energy-Efficient Buildings (BuildSys), November 2013.
[pdf]
This material is based upon work supported by the National Science Foundation under grants CPS-1239552, and the NSF Graduate Research Fellowship Program. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.