Exploiting spatiotemporal and device contexts for energy-efficient mobile embedded systems

Proceedings - Design Automation Conference

Volumn , Issue , 2012, Pages 1278-1283

  Donohoo, Brad ^a   Ohlsen, Chris ^a   Pasricha, Sudeep ^a,b   Anderson, Charles ^b  

^a Department of Mechanical Engineering   (United States)

^b Department of Computer Science   (United States)

Author keywords

energy optimization; machine learning; smartphone

Indexed keywords

AMBIENT INTELLIGENCE; COLLABORATIVE TECHNOLOGIES; DEVICE INTERFACES; ENERGY DEMANDS; ENERGY EFFICIENT; ENERGY OPTIMIZATION; HUMAN COMMUNICATIONS; K NEAREST NEIGHBOR ALGORITHM; K-NEAREST NEIGHBORS; LINEAR DISCRIMINANT ANALYSIS; LOCATION-SENSING; LOGISTIC REGRESSIONS; NOVEL TECHNIQUES; SOCIAL INTERACTIONS; USER TRACE;

COMPUTER AIDED DESIGN; ELECTRIC LOAD FORECASTING; EMBEDDED SYSTEMS; ENERGY EFFICIENCY; ENERGY UTILIZATION; LEARNING ALGORITHMS; LEARNING SYSTEMS; LOGISTICS; MOBILE DEVICES; NEURAL NETWORKS; OPTIMIZATION; PATTERN RECOGNITION; REGRESSION ANALYSIS;

FORECASTING;

EID: 84863539225     PISSN: 0738100X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2228360.2228599     Document Type: Conference Paper

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