Waco, Texas
March 24, 2021
March 24, 2021
March 26, 2021
6
10.18260/1-2--36380
https://peer.asee.org/36380
437
SCOTT KOZIOL received the B.S.E.E. degree in electrical engineering from Cedarville University, Cedarville, OH, USA, in 1998, the M.S. degree in electrical engineering from Iowa State University, Ames, IA, USA, in 2000, and the M.S.M.E. degree in mechanical engineering and the Ph.D. degree in robotics from the Georgia Institute of Technology, Atlanta, GA, USA, in 2011 and 2013, respectively. He is currently an Associate Professor and Assistant Chair with the Department of Electrical and Computer Engineering, Baylor University, Waco, TX, USA
Dr. Chabot is a researcher for the Department of the Navy and an adjunct faculty member at the University of Rhode Island in the department of Electrical, Computer, and Biomedical Engineering. His research focus is on navigation, autonomous systems, and applications of neuroscience with an emphasis on cognitive processing, sensory, and perception.
Abstract—This paper presents a Hardware in the Loop (HWIL) testbed for evaluating a Stochastic Artificial Neural Network (SANN). The SANN is implemented in a Field Programmable Gate Array (FPGA), and this testbed allows test data to be generated on a computer using MATLAB, and sent to the FPGA SANN over a Universal Asynchronous Receiver/Transmitter (UART) interface. Initial hardware results are presented.
Carrano, M., & Koziol, S., & Chabot, E., & Boline, J., & DiCecco, J. (2021, March), FPGA/MATLAB Hardware in the Loop Testbed for Stochastic Artificial Neural Networks Paper presented at ASEE 2021 Gulf-Southwest Annual Conference, Waco, Texas. 10.18260/1-2--36380
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