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MOBISYS
2008
ACM
14 years 5 months ago
Detecting energy-greedy anomalies and mobile malware variants
Mobile users of computation and communication services have been rapidly adopting battery-powered mobile handhelds, such as PocketPCs and SmartPhones, for their work. However, the...
Hahnsang Kim, Joshua Smith, Kang G. Shin
ICCAD
2009
IEEE
179views Hardware» more  ICCAD 2009»
13 years 3 months ago
Automatic memory partitioning and scheduling for throughput and power optimization
Hardware acceleration is crucial in modern embedded system design to meet the explosive demands on performance and cost. Selected computation kernels for acceleration are usually ...
Jason Cong, Wei Jiang, Bin Liu, Yi Zou
SDM
2012
SIAM
340views Data Mining» more  SDM 2012»
11 years 8 months ago
IntruMine: Mining Intruders in Untrustworthy Data of Cyber-physical Systems
A Cyber-Physical System (CPS) integrates physical (i.e., sensor) devices with cyber (i.e., informational) components to form a situation-aware system that responds intelligently t...
Lu An Tang, Quanquan Gu, Xiao Yu, Jiawei Han, Thom...
ECRTS
2010
IEEE
13 years 7 months ago
Making DRAM Refresh Predictable
Embedded control systems with hard real-time constraints require that deadlines are met at all times or the system may malfunction with potentially catastrophic consequences. Sched...
Balasubramanya Bhat, Frank Mueller
CLUSTER
2007
IEEE
13 years 10 months ago
Identifying energy-efficient concurrency levels using machine learning
Abstract-- Multicore microprocessors have been largely motivated by the diminishing returns in performance and the increased power consumption of single-threaded ILP microprocessor...
Matthew Curtis-Maury, Karan Singh, Sally A. McKee,...