Zobrazeno 1 - 10
of 130
pro vyhledávání: '"Joel B. Harley"'
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 3669-3676 (2024)
Muscle fatigue impacts upper extremity function but is often overlooked in biomechanical models. The present work leveraged a transfer learning approach to improve torque predictions during fatiguing upper extremity movements. We developed two artifi
Externí odkaz:
https://doaj.org/article/1af5ffda39b347f7979318e0c7065ae7
Publikováno v:
Materials & Design, Vol 239, Iss , Pp 112763- (2024)
This work presents a Monte Carlo Potts grain growth model in which the grain boundary (GB) energies depend on the GB inclination. The inclination is calculated using a linear smoothing approach developed by the authors. In bicrystal simulations with
Externí odkaz:
https://doaj.org/article/887ee43824fe42b49569a0544fb874c1
Publikováno v:
Materials & Design, Vol 237, Iss , Pp 112604- (2024)
This paper presents the use of a Gaussian neighborhood mode filter for predicting grain growth in a manner similar to the solutions obtained by a Monte Carlo Potts model. This flexible grain growth model can quickly utilize modern, computationally op
Externí odkaz:
https://doaj.org/article/e4764a0cd5db4a229c397b6c6f33313a
Autor:
Ishan D. Khurjekar, Bryan Conry, Michael S. Kesler, Michael R. Tonks, Amanda R. Krause, Joel B. Harley
Publikováno v:
Frontiers in Materials, Vol 10 (2023)
Crystallographic texture is an important descriptor of material properties but requires time-intensive electron backscatter diffraction (EBSD) for identifying grain orientations. While some metrics such as grain size or grain aspect ratio can disting
Externí odkaz:
https://doaj.org/article/3d27c5ada3834fe08a68e786d5b806c5
Autor:
Weishi Yan, Joseph Melville, Vishal Yadav, Kristien Everett, Lin Yang, Michael S. Kesler, Amanda R. Krause, Michael R. Tonks, Joel B. Harley
Publikováno v:
Materials & Design, Vol 222, Iss , Pp 111032- (2022)
Experimental grain growth observations often deviate from grain growth simulations, revealing that the governing rules for grain boundary motion are not fully understood. A novel deep learning model was developed to capture grain growth behavior from
Externí odkaz:
https://doaj.org/article/f1a31b46d0aa48e6831d0ee803cf3d41
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 7, Pp 1-9 (2019)
Norepinephrine (NE), an endogenous catecholamine, is a mainstay treatment for septic shock, which is a life-threatening manifestation of severe infection. NE counteracts the loss in blood pressure associated with septic shock. However, an NE infusion
Externí odkaz:
https://doaj.org/article/f3c0fb8624ab4a648c9126992444ebae
Autor:
Samuel Kingston, Evan Benoit, Ayobami S. Edun, Farhad Elyasichamazkoti, Dawn E. Sweeney, Joel B. Harley, Paul K. Kuhn, Cynthia M. Furse
Publikováno v:
Sensors, Vol 21, Iss 16, p 5268 (2021)
Sequence time-domain reflectometry (STDR) and spread spectrum time-domain reflectometry (SSTDR) detect, locate, and diagnose faults in live (energized) electrical systems. In this paper, we survey the present SSTDR literature for discussions on theor
Externí odkaz:
https://doaj.org/article/1c15584f2ebc400f88a89b9056d57ac3
Publikováno v:
SICE Journal of Control, Measurement, and System Integration, Vol 10, Iss 5, Pp 325-336 (2017)
Guided waves are an attractive tool for monitoring large structures. They are able to interrogate sizable areas at once, are sensitive to structural damage, and carry information about the damage location. Yet, there are many challenges to guided wav
Externí odkaz:
https://doaj.org/article/af97c696cfd1492f87cf4d5b7f891c5e
Publikováno v:
IEEE Sensors Journal. 23:7178-7187
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ced5ad483ec198e1da94e86076eea10b
https://doi.org/10.1109/jsen.2023.3242259
https://doi.org/10.1109/jsen.2023.3242259
Publikováno v:
Journal of the European Ceramic Society. 42:5864-5873
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::875bdbb7fe2b7187257b1321edc3f515
https://doi.org/10.1016/j.jeurceramsoc.2022.06.059
https://doi.org/10.1016/j.jeurceramsoc.2022.06.059