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pro vyhledávání: '"Canaday, Daniel"'
We introduce a mathematical framework for simulating Hybrid Boolean Network (HBN) Physically Unclonable Functions (PUFs, HBN-PUFs). We verify that the model is able to reproduce the experimentally observed PUF statistics for uniqueness $\mu_{inter}$
Externí odkaz:
http://arxiv.org/abs/2207.10816
Recent research has established the effectiveness of machine learning for data-driven prediction of the future evolution of unknown dynamical systems, including chaotic systems. However, these approaches require large amounts of measured time series
Externí odkaz:
http://arxiv.org/abs/2110.03722
Autor:
Canaday, Daniel M.
There is currently great interest in applying artificial neural networks to a host of commercial and industrial tasks. Such networks with a layered, feedforward structure are currently deployed in technologies ranging from facial recognition software
We propose and demonstrate a nonlinear control method that can be applied to unknown, complex systems where the controller is based on a type of artificial neural network known as a reservoir computer. In contrast to many modern neural-network-based
Externí odkaz:
http://arxiv.org/abs/2010.02285
Publikováno v:
IEEE Access 9 (2021): 44855-44867
We introduce a Physically Unclonable Function (PUF) based on an ultra-fast chaotic network known as a Hybrid Boolean Network (HBN) implemented on a field programmable gate array. The network, consisting of $N$ coupled asynchronous logic gates display
Externí odkaz:
http://arxiv.org/abs/1907.12542
Reservoir computing is a neural network approach for processing time-dependent signals that has seen rapid development in recent years. Physical implementations of the technique using optical reservoirs have demonstrated remarkable accuracy and proce
Externí odkaz:
http://arxiv.org/abs/1807.07627
We study photoionization of various noble gas atoms by attosecond pulses produced in High Harmonic Generation (HHG). We use a pump-probe experiment to measure the time delays of electrons photoionized from Neon, Argon, and Krypton relative to those p
Externí odkaz:
http://arxiv.org/abs/1305.6504
Autor:
Arthur, Douglas W., Winter, Kathryn A., Kuerer, Henry M., Haffty, Bruce G., Cuttino, Laurie W., Todor, Dorin A., Simone, Nicole L., Hayes, Shelly B., Woodward, Wendy A., McCormick, Beryl, Cohen, Randi J., Sahijdak, Walter M., Canaday, Daniel J., Brown, Doris R., Currey, Adam D., Fisher, Christine M., Jagsi, Reshma, White, Julia
Publikováno v:
In International Journal of Radiation Oncology, Biology, Physics 1 August 2017 98(5):1028-1035
Autor:
Hannig, Jurgen, Zhang, Dajun, Canaday, Daniel J., Beckett, Michael A., Astumian, R. Dean, Weichselbaum, Ralph R., Lee, Raphael C.
Publikováno v:
Radiation Research, 2000 Aug 01. 154(2), 171-177.
Externí odkaz:
https://www.jstor.org/stable/3580274
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