In the Sesame framework, we develop a modeling and simulation environment for the efficient design space exploration of heterogeneous embedded systems. Since Sesame recognizes se...
The stream processing characteristics of many embedded system applications in multimedia and networking domains have led to the advent of stream based programming formats. Several ...
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 propose “secret-protected (SP)” architecture to enable secure and convenient protection of critical secrets for a given user in an on-line environment. Keys are examples of...
Ruby B. Lee, Peter C. S. Kwan, John Patrick McGreg...
The wireless sensor network community approached netabstractions as an open question, allowing answers to emerge with time and experience. The Trickle algorithm has become a basic...
Philip Levis, Eric A. Brewer, David E. Culler, Dav...