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FLAIRS
2007
15 years 8 months ago
Mining Sequences in Distributed Sensors Data for Energy Production
The desire to predict power generation at a given point in time is essential to power scheduling, energy trading, and availability modeling. The research conducted within is conce...
Mehmed M. Kantardzic, John Gant
CORR
2008
Springer
87views Education» more  CORR 2008»
15 years 6 months ago
Identification of Test Structures for Reduced Order Modeling of the Squeeze Film Damping in Mems
In this study the dynamic behaviour of perforated microplates oscillating under the effect of squeeze film damping is analyzed. A numerical approach is adopted to predict the effe...
Aurelio Somà, Giorgio De Pasquale
ICSE
2010
IEEE-ACM
15 years 11 months ago
Characterizing and predicting which bugs get fixed: an empirical study of Microsoft Windows
We performed an empirical study to characterize factors that affect which bugs get fixed in Windows Vista and Windows 7, focusing on factors related to bug report edits and relat...
Philip J. Guo, Thomas Zimmermann, Nachiappan Nagap...
PROMISE
2010
15 years 1 months ago
On the value of learning from defect dense components for software defect prediction
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
Hongyu Zhang, Adam Nelson, Tim Menzies
VR
2003
IEEE
267views Virtual Reality» more  VR 2003»
15 years 11 months ago
An Experiment Comparing Double Exponential Smoothing and Kalman Filter-Based Predictive Tracking Algorithms
We present an experiment comparing double exponential smoothing and Kalman filter-based predictive tracking algorithms with derivative free measurement models. Our results show t...
Joseph J. LaViola Jr.