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Mininet is a container-based emulation environment that can study networks with virtual hosts and OpenFlow-enabled virtual switches on Linux. However, it is well-known that experiments using Mininet may lose fidelity for large-scale networks and heavy traffic load. One solution is to use a distributed setup where an experiment constitutes multiple instances of Mininet running on a cluster, each handling...
Mininet is a popular container-based emulation environment built on Linux for testing Open Flow applications. Using Mininet, one can compose an experimental network using a set of virtual hosts and virtual switches with flexibility. However, it is well understood that Mininet can only provide a limited capacity, both for CPU and network I/O, due to its underlying physical constraints. We propose a...
This work describes a motion-sensing enabled personalized exercise system for cardiac rehabilitation called CAROLS, capable of assisting healthcarers to find evidence-based effective exercise program for individual, and then motivating cardiac outpatients to improve their health recovery throughout a series of effective personalized rehabilitation exercises. In addition to making home-based cardiac...
For realizing the rapid estimation of time delay, Doppler shift and Doppler rate of moving targets in passive radar, we present a cross ambiguity function algorithm based on higher order ambiguity function (CAF-HAF). In this algorithm, higher order ambiguity function transforms the nonlinear harmonious signal's estimation to the linear harmonious signal's estimation, then zoom-FFT is used for estimating...
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