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» Machine reasoning about anomalous sensor data
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ECOI
2010
144views more  ECOI 2010»
13 years 3 months ago
Machine reasoning about anomalous sensor data
We describe a semantic data validation tool that is capable of observing incoming real-time sensor data and performing reasoning against a set of rules specific to the scientific d...
Matt Calder, Robert A. Morris, Francesco Peri
HUC
2011
Springer
12 years 4 months ago
iBAT: detecting anomalous taxi trajectories from GPS traces
GPS-equipped taxis can be viewed as pervasive sensors and the large-scale digital traces produced allow us to reveal many hidden “facts” about the city dynamics and human beha...
Daqing Zhang, Nan Li, Zhi-Hua Zhou, Chao Chen, Lin...
IDA
1999
Springer
13 years 9 months ago
Reasoning about Input-Output Modeling of Dynamical Systems
The goal of input-output modeling is to apply a test input to a system, analyze the results, and learn something useful from the causeeffect pair. Any automated modeling tool that...
Matthew Easley, Elizabeth Bradley
ICML
1999
IEEE
14 years 5 months ago
Abstracting from Robot Sensor Data using Hidden Markov Models
ing from Robot Sensor Data using Hidden Markov Models Laura Firoiu, Paul Cohen Computer Science Department, LGRC University of Massachusetts at Amherst, Box 34610 Amherst, MA 01003...
Laura Firoiu, Paul R. Cohen