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SDM
2009
SIAM
127views Data Mining» more  SDM 2009»
16 years 3 months ago
Event Discovery in Time Series.
The discovery of events in time series can have important implications, such as identifying microlensing events in astronomical surveys, or changes in a patient’s electrocardiog...
Carla E. Brodley, Dan Preston, Pavlos Protopapas
SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
16 years 3 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...
ICCAD
2006
IEEE
107views Hardware» more  ICCAD 2006»
16 years 3 months ago
Current path analysis for electrostatic discharge protection
The electrostatic discharge (ESD) problem has become a challenging reliability issue in nanometer circuit design. High voltages resulted from ESD might cause high current densitie...
Hung-Yi Liu, Chung-Wei Lin, Szu-Jui Chou, Wei-Ting...
ICCAD
2006
IEEE
129views Hardware» more  ICCAD 2006»
16 years 3 months ago
Energy budgeting for battery-powered sensors with a known task schedule
Battery-powered wireless sensors are severely constrained by the amount of the available energy. A method for computing the energy budget per sensing task can be a valuable design...
Daler N. Rakhmatov
ICCAD
2001
IEEE
127views Hardware» more  ICCAD 2001»
16 years 3 months ago
What is the Limit of Energy Saving by Dynamic Voltage Scaling?
Dynamic voltage scaling (DVS) is a technique that varies the supply voltage and clock frequency based on the computation load to provide desired performance with the minimal amoun...
Gang Qu