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MP
2010
162views more  MP 2010»
13 years 6 months ago
Approximation accuracy, gradient methods, and error bound for structured convex optimization
Convex optimization problems arising in applications, possibly as approximations of intractable problems, are often structured and large scale. When the data are noisy, it is of i...
Paul Tseng
EMNETS
2007
13 years 11 months ago
An HMM framework for optimal sensor selection with applications to BSN sensor glove design
Laparoscopic surgical training is a challenging task due to the complexity of instrument control and demand on manual dexterity and hand-eye coordination. Currently, training and ...
Rachel C. King, Louis Atallah, Ara Darzi, Guang-Zh...
TSMC
2011
355views more  TSMC 2011»
13 years 2 months ago
Particle Swarm Optimization in Wireless-Sensor Networks: A Brief Survey
—Wireless sensor networks (WSNs) are networks of autonomous nodes used for monitoring an environment. Developers of WSNs face challenges that arise from communication link failur...
Raghavendra V. Kulkarni, Ganesh K. Venayagamoorthy
GLOBECOM
2010
IEEE
13 years 5 months ago
Optimization of Periodic Channel Sensing by Secondary Users in a Cognitive Radio Network
With the employment of cognitive radio technology, dynamic spectrum management has the potential to solve the underused spectrum problem. In this paper, we introduce and compare tw...
Dongyue Xue, Xinbing Wang, Ekram Hossain
SUTC
2010
IEEE
13 years 6 months ago
Transaction-Level Modeling for Sensor Networks Using SystemC
—As sensor networks are finding widespread use across many applications, designers increasingly must not only focus on application development, but also on sensor network optimiz...
Jeff Hiner, Ashish Shenoy, Roman L. Lysecky, Susan...