The correct interplay among components in a distributed, reactive system is a crucial development task, particularly for embedded systems such as those in the automotive domain. M...
Restricted Boltzmann Machines (RBMs) — the building block for newly popular Deep Belief Networks (DBNs) — are a promising new tool for machine learning practitioners. However,...
Sang Kyun Kim, Lawrence C. McAfee, Peter L. McMaho...
We present SPOT, a scalable power observation tool that enables in situ measurement of nodal power and energy over a dynamic range exceeding four decades or a temporal resolution ...
Xiaofan Jiang, Prabal Dutta, David E. Culler, Ion ...
We present a system-level design and programming method for embedded multiprocessor systems. The aim of the method is to improve the design time and design quality by providing a ...
Over the past few years, researchers have developed many crosslayer wireless protocols to improve the performance of wireless networks. Experimental evaluations of these protocols...
Man Cheuk Ng, Kermin Elliott Fleming, Mythili Vutu...