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  • 1
    Electronic Resource
    Electronic Resource
    Effects of heating rate and surface oxidation on magnetic induction of 3% Si–Fe strip (2000)
    [S.l.] : American Institute of Physics (AIP)
    Journal of Applied Physics 87 (2000), S. 5236-5238 
    Details
    ISSN: 1089-7550
    Source: AIP Digital Archive
    Topics: Physics
    Notes: The effects of heating rate and surface oxidation on magnetic induction of thin-gauged 3% Si–Fe strips have been investigated. Magnetic induction increased with increasing final annealing temperature. Before and after 1150 °C, the planar orientation of grains shifted from (100)[011] to (110)[001], resulting in magnetic induction higher than 1.90 T. Magnetic induction after final annealing was higher in case of a faster heating rate. This is because enough time for growth of (110) grains is given in the case. Irrespective of transient annealing temperature, magnetic induction after final annealing was mostly higher than 1.90 T. A maximum, 1.97 T, was obtained at a transient annealing temperature of 800 °C. This is because iron oxide formed at 800 °C inhibited the surface-energy-induced selective growth of (100)[011] grains during heating up to 1200 °C. © 2000 American Institute of Physics.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1063/1.373306
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  • 2
    Electronic Resource
    Electronic Resource
    Newly developed double neural network concept for reliable fast plasma position control : Papers from the thirteenth topical conference on high temperature plasma diagnostics (2001)
    [S.l.] : American Institute of Physics (AIP)
    Review of Scientific Instruments 72 (2001), S. 513-516 
    Details
    ISSN: 1089-7623
    Source: AIP Digital Archive
    Topics: Physics , Electrical Engineering, Measurement and Control Technology
    Notes: Neural network is considered as a parameter estimation tool in plasma controls for next generation tokamak such as ITER. The neural network has been reported to be so accurate and fast for plasma equilibrium identification that it may be applied to the control of complex tokamak plasmas. For this application, the reliability of the conventional neural network needs to be improved. In this study, a new idea of double neural network is developed to achieve this. The new idea has been applied to simple plasma position identification of KSTAR tokamak for feasibility test. Characteristics of the concept show higher reliability and fault tolerance even in severe faulty conditions, which may make neural network applicable to plasma control reliably and widely in future tokamaks. © 2001 American Institute of Physics.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1063/1.1323251
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  • 3
    Electronic Resource
    Electronic Resource
    Real-time extraction of plasma equilibrium parameters in KSTAR tokamak using statistical methods : Papers from the thirteenth topical conference on high temperature plasma diagnostics (2001)
    [S.l.] : American Institute of Physics (AIP)
    Review of Scientific Instruments 72 (2001), S. 1400-1405 
    Details
    ISSN: 1089-7623
    Source: AIP Digital Archive
    Topics: Physics , Electrical Engineering, Measurement and Control Technology
    Notes: To improve inherent shortcomings of statistical methods and apply them to the extraction of plasma equilibrium parameters in a fast timescale for real-time plasma control, new concepts of statistical methods such as principal component analysis-based neural network (NN), functional parametrization (FP)-based NN and double network are introduced by modifying NN and FP. These new methods are benchmarked and compared with the conventional techniques of NN and FP in a simple single-filament system. As a result of their applications to identification of plasma equilibrium parameters in the Korea Superconducting Tokamak Advanced Research tokamak, particularly, the double network concept among them has successfully achieved the improvement of drawbacks in the conventional methods. It is shown that more reliable results from the double network method can be obtained by combining several different statistical treatments as a primary network. Even in the case of nonoptimized methods united as a primary network, quite acceptable results can be achieved in the double network method. © 2001 American Institute of Physics.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1063/1.1315639
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  • 4
    Electronic Resource
    Electronic Resource
    Tertiary recrystallization and magnetic induction under various annealing atmospheres in thin-gauged 3% Si–Fe strip (2000)
    [S.l.] : American Institute of Physics (AIP)
    Journal of Applied Physics 87 (2000), S. 5233-5235 
    Details
    ISSN: 1089-7550
    Source: AIP Digital Archive
    Topics: Physics
    Notes: Surface-energy-induced secondary or tertiary recrystallization by grains with a specific surface plane can be freely governed in thin-gauged 3% Si–Fe strips by controlling the bulk content of sulfur and annealing atmosphere. During a vacuum or hydrogen annealing process, a convex profile in segregated-sulfur concentration is formed due to evaporation or desorption of segregated sulfur as a hydrogen sulfide, corresponding to a trough in magnetic induction. High magnetic induction is obtained after the annealing treatments. Final annealing under an argon atmosphere caused a saturation in segregated-sulfur concentration with annealing time. Under this extremely high segregated sulfur, grains of high index crystal plane including {111} continued to grow, resulting in low magnetic induction. © 2000 American Institute of Physics.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1063/1.373305
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  • 5
    Electronic Resource
    Electronic Resource
    NEW BOOKS. (1915)
    s.l. : American Chemical Society
    Journal of the American Chemical Society 37 (1915), S. 235-240 
    Details
    ISSN: 1520-5126
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1021/ja02270a025
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  • 6
    Electronic Resource
    Electronic Resource
    NEW BOOKS. (1915)
    s.l. : American Chemical Society
    Journal of the American Chemical Society 37 (1915), S. 404-406 
    Details
    ISSN: 1520-5126
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1021/ja02271a020
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  • 7
    Electronic Resource
    Electronic Resource
    NOTE. (1915)
    s.l. : American Chemical Society
    Journal of the American Chemical Society 37 (1915), S. 549-551 
    Details
    ISSN: 1520-5126
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1021/ja02168a012
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  • 8
    Electronic Resource
    Electronic Resource
    NOTE. (1915)
    s.l. : American Chemical Society
    Journal of the American Chemical Society 37 (1915), S. 664-665 
    Details
    ISSN: 1520-5126
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1021/ja02168a028
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  • 9
    Electronic Resource
    Electronic Resource
    NEW BOOKS. (1915)
    s.l. : American Chemical Society
    Journal of the American Chemical Society 37 (1915), S. 665-674 
    Details
    ISSN: 1520-5126
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1021/ja02168a029
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  • 10
    Electronic Resource
    Electronic Resource
    NEW BOOKS. (1915)
    s.l. : American Chemical Society
    Journal of the American Chemical Society 37 (1915), S. 949-952 
    Details
    ISSN: 1520-5126
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1021/ja02169a025
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