Magnetohydrodynamic stability of a sharp boundary model of tokamak

1975 ◽  
Vol 18 (11) ◽  
pp. 1494 ◽  
Author(s):  
J. P. Freidberg ◽  
W. Grossmann
1988 ◽  
Vol 31 (6) ◽  
pp. 1656 ◽  
Author(s):  
S. K. Ho ◽  
William McCay Nevins ◽  
Gary R. Smith ◽  
G. H. Miley

Author(s):  
Rubens Augusto Amaro Junior ◽  
Lucas Soares Pereira ◽  
Liang-Yee Cheng ◽  
Ahmad Shakibaeinia

1989 ◽  
Vol 4 (4) ◽  
pp. 795-801 ◽  
Author(s):  
C. J. Jou ◽  
J. Washburn

A nucleation-and-growth mechanism for the twin formation in YBa2Cu3O7–δ superconductors based on the oxygen uptake rate curve and published transmission electron microscopic observations is proposed together with an oxygen-depleted twin boundary model. The difficulty of reaching stoichiometric YBa2Cu3O7 is explained.


2021 ◽  
Vol 381 ◽  
pp. 107603
Author(s):  
Tatsuya Miura ◽  
Felix Otto

2021 ◽  
Vol 13 (1) ◽  
pp. 690-704
Author(s):  
Lichun Sui ◽  
Jianfeng Zhu ◽  
Mianqing Zhong ◽  
Xue Wang ◽  
Junmei Kang

Abstract Various means of extracting road boundary from mobile laser scanning data based on vehicle trajectories have been investigated. Independent of positioning and navigation data, this study estimated the scanner ground track from the spatial distribution of the point cloud as an indicator of road location. We defined a typical edge block consisting of multiple continuous upward fluctuating points by abrupt changes in elevation, upward slope, and road horizontal slope. Subsequently, such edge blocks were searched for on both sides of the estimated track. A pseudo-mileage spacing map was constructed to reflect the variation in spacing between the track and edge blocks over distance, within which road boundary points were detected using a simple linear tracking model. Experimental results demonstrate that the ground trajectory of the extracted scanner forms a smooth and continuous string just on the road; this can serve as the basis for defining edge block and road boundary tracking algorithms. The defined edge block has been experimentally verified as highly accurate and strongly noise resistant, while the boundary tracking algorithm is simple, fast, and independent of the road boundary model used. The correct detection rate of the road boundary in two experimental data is more than 99.2%.


2019 ◽  
Vol 19 (32) ◽  
pp. 23-31
Author(s):  
Abhishek Dhanda ◽  
Ryan O'Hayre ◽  
Heinz Pitsch

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