In an experiment with a soccer playing robot, periodic temporally-constrained nonlinear principal component neural networks (NLPCNNs) are shown to characterize humanoid motion eff...
Karl F. MacDorman, Rawichote Chalodhorn, Minoru As...
Abstract—This paper investigates threshold based neural networks for periodic symmetric Boolean functions and some related operations. It is shown that any n-input variable perio...
For a lumped parameter model of a flow network driven by a periodic generator, we apply averaging to find an approximate solution and analyze its stability. The approximate soluti...
This paper presents a time division multiple access medium access control protocol for wireless sensor / actuator networks implemented with a contention-free message scheduler. A ...
Thomas W. Carley, Moussa A. Ba, Rajeev Barua, Davi...