Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Keith, Erickson"'
Publikováno v:
Nuclear Fusion, Vol 64, Iss 9, p 096020 (2024)
A first of its kind fully data-driven system has been developed and implemented into the DIII-D plasma control system to detect and control Alfvén eigenmodes (AE) in real-time. Susceptibility to fast ion-induced AE is a challenge in fully non-induct
Externí odkaz:
https://doaj.org/article/a1378e4c3ef34116b350c0fd2cad4796
Autor:
Ricardo Shousha, Jaemin Seo, Keith Erickson, Zichuan Xing, SangKyeun Kim, Joseph Abbate, Egemen Kolemen
Publikováno v:
Nuclear Fusion, Vol 64, Iss 2, p 026006 (2023)
Kinetic equilibrium reconstruction plays a vital role in the physical analysis of plasma stability and control in fusion tokamaks. However, the traditional approach is subjective and prone to human biases. To address this, the consistent automatic ki
Externí odkaz:
https://doaj.org/article/9db4f26aada2448db178118b89b9f0b7
Publikováno v:
Journal of Plasma Physics. 89
A general infrastructure for tokamak controllers based on data-driven neural net models is presented. The paradigm allows for more flexible choices of both the underlying model and the desired controlled variables and targets. The system is implement
Publikováno v:
The International Journal of Health, Wellness, and Society. 11:97-118
Publikováno v:
North American Journal of Fisheries Management. 41
Autor:
Rebecca Sunenshine, Diane Buell, Martin Fenstersheib, Christopher Shepherd, Margie Morgan, Cheri Grigg, Rebecca Fisher, Marc Fischer, Isaac Benowitz, Rebecca C. Woodruff, Isaac Ghinai, Brandon Bonin, John T. Watson, Kelly Lo, Shifaq Kamili, Olivia Almendares, Glenn E. Mathisen, Catherine M. Brown, Lynn Mello, Ruth N. Moro, Matthew Westercamp, Hannah L Kirking, Brian Rha, Sara Cody, Alison M. Binder, Moon Kim, Dawn Terashita, Sarah Scott, Joana Y Lively, Lauren Epstein, Holly M. Biggs, Shanon Smith, Timothy M. Uyeki, Jan King, Manisha Patel, Marielle J Fricchione, Aron J. Hall, Alicia P. Budd, Krista Queen, Vaughn Barry, Lindsay Kim, Kevin Chatham-Stephens, Kathleen Harriman, Francisco N Alvarez, Melissa A Rolfes, Mark A. Pallansch, Karen K. Wong, Anna R Yousaf, Jennifer P Collins, Graham Gerrard, Chelsea Foo, Ying Tao, Jennifer O'Shea, Miwako Kobayashi, Elizabeth Traub, Jeffrey D. Gunzenhauser, Megan J. Wallace, Heather Reese, Stephanie A Kujawski, Elsa Villarino, Azaibi Tamin, Olivia L McGovern, Keith Erickson, Xiaoyan Lu, Michelle Livingston, Lawrence C. Madoff, Hollianne Bruce, Glen R. Abedi, N Seema Ahmed, Oren Friedman, Matthew Zahn, Nora Chea, Susan Robinson, Matthew Donahue, Bryan Stierman, Thomas Haupt, Sarah Wilkerson, Rachel Bystritsky, Melissa M. Garcia, Sarah L. Rudman, Kayla N. Anderson, Jonathan Bryant-Genevier, Suxiang Tong, Victoria T Chu, Jennifer R. Verani, Jennifer C. Hunter, Mariel Marlow, Satish K. Pillai, Massimo Pacilli, Janell Routh, Amy Xie, Kiran Joshi, Anna Uehara, Howard Chiou, Vishal Dasari, Nancy McClung, Regina Sy-Santos, Jonathan M. Wortham, Michael Ben-Aderet, Patrick Dawson, Meredith Haddix, Gary I. Gutkin, Claire M Midgley, Sung-Sil Moon, Ahmet Tural, Jeremy A. Falk, Shannon A. Novosad, William V. Stoecker, Lindsey M. Duca, Janna Murray, Isabel Pedraza, Rachel Rubin, Michael A. Jhung, Michelle Holshue, Anna Kocharian, Amber K. Haynes, Romeo R. Galang, Gregory Marks, Traci DeSalvo, Jennifer L Harcourt, Karri Bartlett, Lijuan Wang, Jennifer E Layden, Alicia M. Fry, Mathew D. Esona, Erin E. Conners, Philip Robinson, George A. Diaz, Susa I. Gerber, George S Han, Suzanne Evans, Prabhu Gounder, Audrey Meier, Brian Lynch, Senthilkumar K. Sakthivel, Tiffany Wu, Jordan Cates, Talia Pindyck, Yan Li, Kenneth Komatsu, Stephanie R. Black, Mitali Mehta, Varun Shetty, Claire Jarashow, Brett Whitaker, Max W. Jacobs, E. Matt Charles, Scott Lindquist, Clinton R. Paden, Amanda Kita-Yarbro, Max Cohen, Sharon Balter, Talar Kamali, Heather J. Rhodes, Ethan A. Smith, Ruth Link-Gelles, Jing Zhang, Sajan Patel, Rachel Klos, Marie E Killerby, Grace M Vahey, Natalie J. Thornburg, Suzanne Donovan, Cora Hoover, Tristan D. McPherson, Aaron T. Curns, Nichole Quick, Sara E. Oliver, Demian Christiansen, Ram Koppaka, Jonathan Grein, Rekha Murthy, Leora R. Feldstein, Karlyn D. Beer, Jennifer Lo, Stephen Lindstrom, Lakshmi Malapati, Ian W. Pray
IntroductionMore than 93,000 cases of coronavirus disease (COVID-19) have been reported worldwide. We describe the epidemiology, clinical course, and virologic characteristics of the first 12 U.S. patients with COVID-19.MethodsWe collected demographi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c32f30bc2cedae99784d8530184e4f76
https://doi.org/10.1101/2020.03.09.20032896
https://doi.org/10.1101/2020.03.09.20032896
Publikováno v:
Fusion Engineering and Design. 133:104-109
Distributing control mechanisms across modern commercial off the shelf (COTS) GNU/Linux systems often introduces difficult to mitigate non-deterministic behavior. Existing methods to address this problem involve non-real-time technologies such as Rem
Autor:
Cristina Rea, Dalong Chen, Jinping Qian, East Team, Jingbo Chen, J. C. Xu, Yongkuan Zhang, B.J. Xiao, Zhuang Huidong, Kevin Montes, Y.Q. Huang, Q.P. Yuan, Keith Erickson, L. Zeng, B. Shen, J. Y. Xiao, Robert Granetz, Y. M. Duan, Jiuyuan Li, Wenhui Hu
Publikováno v:
Nuclear Fusion. 61:066034
A real-time disruption predictor using random forest was developed for high-density disruptions and used in the plasma control system (PCS) of the EAST tokamak for the first time. The disruption predictor via random forest (DPRF) ran in piggyback mod
Publikováno v:
Engineering Applications of Artificial Intelligence. 100:104182
With the growth of machine learning models and neural networks in measurement and control systems comes the need to deploy these models in a way that is compatible with existing systems. Existing options for deploying neural networks either introduce
Autor:
S.P. Gerhardt, Gregory J. Tchilinguirian, P. Henderson, W. Davis, Keith Erickson, P. Sichta, S.H. Kampel, G. Zimmer, T. Carroll
Publikováno v:
Fusion Engineering and Design. 112:932-936
The extensive NSTX Upgrade (NSTX-U) Project includes major components which allow a doubling of the toroidal field strength to 1 T, of the Neutral Beam heating power to 12 MW, and the plasma current to 2 MA, and substantial structural enhancements to