scholarly journals Identification of Confinement Regimes in Tokamak Plasmas by Conformal Prediction on a Probabilistic Manifold

2012 ◽  
pp. 244-253
Author(s):  
Geert Verdoolaege ◽  
Jesús Vega ◽  
Andrea Murari ◽  
Guido Van Oost
Keyword(s):  
Tokamak Plasmas ◽  
Conformal Prediction

Ion Heating Characteristics of Merging Spherical Tokamak Plasmas using the Improved Doppler Tomography Spectroscopy System

2014 ◽  
Vol 134 (9) ◽  
pp. 523-524
Author(s):  
Hideya Koike ◽  
Masanobu Annoura ◽  
Kento Nishida ◽  
Hiroshi Tanabe ◽  
Michiaki Inomoto ◽  
...  
Keyword(s):  
Spherical Tokamak ◽  
Tokamak Plasmas ◽  
Ion Heating ◽  
Doppler Tomography ◽  
Spectroscopy System

scholarly journals Effects of plasma turbulence on the nonlinear evolution of magnetic island in tokamak

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Minjun J. Choi ◽  
Lāszlo Bardōczi ◽  
Jae-Min Kwon ◽  
T. S. Hahm ◽  
Hyeon K. Park ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Nonlinear Evolution ◽  
Plasma Turbulence ◽  
Magnetized Plasmas ◽  
Tokamak Plasmas ◽  
Magnetic Islands ◽  
Magnetic Island ◽  
Reconnection Site ◽  
Ambient Turbulence

AbstractMagnetic islands (MIs), resulting from a magnetic field reconnection, are ubiquitous structures in magnetized plasmas. In tokamak plasmas, recent researches suggested that the interaction between an MI and ambient turbulence can be important for the nonlinear MI evolution, but a lack of detailed experimental observations and analyses has prevented further understanding. Here, we provide comprehensive observations such as turbulence spreading into an MI and turbulence enhancement at the reconnection site, elucidating intricate effects of plasma turbulence on the nonlinear MI evolution.

scholarly journals Simulation of the loss of passing fast ions induced by magnetic islands in EAST tokamak plasmas

AIP Advances ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 025020
Author(s):  
Limin Yu ◽  
Erbing Xue ◽  
Debing Zhang ◽  
Shuyu Zheng ◽  
Xianmei Zhang ◽  
...  
Keyword(s):  
Tokamak Plasmas ◽  
Magnetic Islands ◽  
Fast Ions

scholarly journals Assurance monitoring of learning-enabled cyber-physical systems using inductive conformal prediction based on distance learning

2021 ◽  
Vol 35 (2) ◽  
pp. 251-264
Author(s):  
Dimitrios Boursinos ◽  
Xenofon Koutsoukos
Keyword(s):  
Neural Networks ◽  
Distance Learning ◽  
Real Time ◽  
Speaker Recognition ◽  
Deep Neural Networks ◽  
Cyber Physical Systems ◽  
Error Rates ◽  
Traffic Sign ◽  
Conformal Prediction ◽  
Physical Systems

AbstractMachine learning components such as deep neural networks are used extensively in cyber-physical systems (CPS). However, such components may introduce new types of hazards that can have disastrous consequences and need to be addressed for engineering trustworthy systems. Although deep neural networks offer advanced capabilities, they must be complemented by engineering methods and practices that allow effective integration in CPS. In this paper, we proposed an approach for assurance monitoring of learning-enabled CPS based on the conformal prediction framework. In order to allow real-time assurance monitoring, the approach employs distance learning to transform high-dimensional inputs into lower size embedding representations. By leveraging conformal prediction, the approach provides well-calibrated confidence and ensures a bounded small error rate while limiting the number of inputs for which an accurate prediction cannot be made. We demonstrate the approach using three datasets of mobile robot following a wall, speaker recognition, and traffic sign recognition. The experimental results demonstrate that the error rates are well-calibrated while the number of alarms is very small. Furthermore, the method is computationally efficient and allows real-time assurance monitoring of CPS.

scholarly journals ChemBioSim: Enhancing Conformal Prediction of In Vivo Toxicity by Use of Predicted Bioactivities

2021 ◽  
Author(s):  
Marina Garcia de Lomana ◽  
Andrea Morger ◽  
Ulf Norinder ◽  
Roland Buesen ◽  
Robert Landsiedel ◽  
...  
Keyword(s):  
Conformal Prediction ◽  
In Vivo Toxicity

Impurity effects on trapped electron modes in tokamak plasmas with inverted electron density profile

2021 ◽  
Vol 28 (5) ◽  
pp. 052510
Author(s):  
X. R. Zhang ◽  
J. Q. Dong ◽  
H. R. Du ◽  
J. Y. Liu ◽  
Y. Shen ◽  
...  
Keyword(s):  
Electron Density ◽  
Density Profile ◽  
Electron Density Profile ◽  
Tokamak Plasmas ◽  
Impurity Effects ◽  
Trapped Electron
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