Sensor networks have recently gained a lot of attention from the research community. Sensors are significantly resource-constrained devices and last till the depletion of their ba...
Mohamed F. Younis, Kemal Akkaya, Anugeetha Kunjith...
We investigate runtime strategies for data-intensive applications that involve generalized reductions on large, distributed datasets. Our set of strategies includes replicated fi...
Use of semantic content is one of the major issues which needs to be addressed for improving image retrieval effectiveness. We present a new approach to classify images based on t...
—In this paper, nonlinear digital filters with finite precision are analyzed as recursive systematic convolutional (RSC) encoders. An infinite impulse response (IIR) digital filt...
Calin Vladeanu, Safwan El Assad, Jean-Claude Carla...
Abstract—rSesame is a generic modeling and simulation framework which can explore and evaluate reconfigurable systems at the early design stages. The framework can be used to ex...
Kamana Sigdel, Mark Thompson, Carlo Galuzzi, Andy ...