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» Embedded Systems - Challenges and Work Directions
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SENSYS
2010
ACM
14 years 7 months ago
Privacy-aware regression modeling of participatory sensing data
Many participatory sensing applications use data collected by participants to construct a public model of a system or phenomenon. For example, a health application might compute a...
Hossein Ahmadi, Nam Pham, Raghu K. Ganti, Tarek F....
ICCAD
2009
IEEE
179views Hardware» more  ICCAD 2009»
14 years 7 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
MOBICOM
2012
ACM
13 years 7 days ago
Distinguishing users with capacitive touch communication
As we are surrounded by an ever-larger variety of post-PC devices, the traditional methods for identifying and authenticating users have become cumbersome and time-consuming. In t...
Tam Vu, Akash Baid, Simon Gao, Marco Gruteser, Ric...
LCTRTS
2007
Springer
15 years 3 months ago
Integrated CPU and l2 cache voltage scaling using machine learning
Embedded systems serve an emerging and diverse set of applications. As a result, more computational and storage capabilities are added to accommodate ever more demanding applicati...
Nevine AbouGhazaleh, Alexandre Ferreira, Cosmin Ru...
IMC
2006
ACM
15 years 3 months ago
Measurement based analysis, modeling, and synthesis of the internet delay space
Understanding the characteristics of the Internet delay space (i.e., the all-pairs set of static round-trip propagation delays among edge networks in the Internet) is important fo...
Bo Zhang, T. S. Eugene Ng, Animesh Nandi, Rudolf H...