Institution
Westinghouse Electric
Company•Cranberry Township, Pennsylvania, United States•
About: Westinghouse Electric is a company organization based out in Cranberry Township, Pennsylvania, United States. It is known for research contribution in the topics: Brake & Signal. The organization has 27959 authors who have published 38036 publications receiving 523387 citations.
Topics: Brake, Signal, Circuit breaker, Turbine, Electromagnetic coil
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the zero-field elastic constants of iron have been measured from 4.2 to 300 K using the ultrasonic pulse technique, and a least square fit of the results was obtained by assuming the presence of spin-wave contribution to the specific heat.
Abstract: The zero-field elastic constants of iron have been measured from 4.2 to 300\ifmmode^\circ\else\textdegree\fi{}K using the ultrasonic pulse technique. Extrapolation of the data to absolute zero gives ${c}_{11}=2.431\ifmmode\pm\else\textpm\fi{}0.008$, ${c}_{12}=1.381\ifmmode\pm\else\textpm\fi{}0.004$, and ${c}_{44}=1.219\ifmmode\pm\else\textpm\fi{}0.004$, all expressed in units of ${10}^{12}$ dyne ${\mathrm{cm}}^{\ensuremath{-}2}$. The corresponding limiting value of the Debye temperature is ${\ensuremath{\theta}}_{0}=(477\ifmmode\pm\else\textpm\fi{}2)\ifmmode^\circ\else\textdegree\fi{}$K. Using this figure, the low-temperature heat capacity data for iron have been reanalyzed assuming the presence of a spin-wave contribution to the specific heat, i.e., the heat capacity is assumed to follow the relation $C=\ensuremath{\gamma}T+\ensuremath{\beta}{T}^{3}+\ensuremath{\alpha}{T}^{\frac{3}{2}}$. A least squares fit of $\frac{(C\ensuremath{-}\ensuremath{\beta}{T}^{3})}{T}$ versus ${T}^{\frac{1}{2}}$ gives $\ensuremath{\gamma}=(11.7\ifmmode\pm\else\textpm\fi{}0.1)\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}4}$ cal ${\mathrm{mole}}^{\ensuremath{-}1}$ ${\mathrm{deg}}^{\ensuremath{-}2}$, $\ensuremath{\alpha}=(2\ifmmode\pm\else\textpm\fi{}1)\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}5} \mathrm{cal} {\mathrm{mole}}^{\ensuremath{-}} {\mathrm{deg}}^{\ensuremath{-}\frac{5}{2}}$. There is agreement, within experimental error, between the latter figure and the theoretical estimate of $\ensuremath{\alpha}=0.8\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}5} \mathrm{cal} {\mathrm{mole}}^{\ensuremath{-}1} {\mathrm{deg}}^{\ensuremath{-}\frac{5}{2}}$ obtained from the low-temperature magnetization data of Fallot. From the room temperature elastic constants, the compressibility of iron is found to be $K=(5.95\ifmmode\pm\else\textpm\fi{}0.02)\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}13}$ ${\mathrm{cm}}^{2}$ ${\mathrm{dyne}}^{\ensuremath{-}1}$, which agrees exactly with the static value obtained by Bridgman.
328 citations
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01 Aug 1999-International Journal of Human-computer Studies \/ International Journal of Man-machine Studies
TL;DR: What cognitive systems are, and of how CSE can contribute to the design of an MMS, from cognitive task analysis to final evaluation are given.
Abstract: This paper presents an approach to the description and analysis of complex Man?Machine Systems (MMSs) called Cognitive Systems Engineering (CSE). In contrast to traditional approaches to the study of man?machine systems which mainly operate on the physical and physiological level, CSE operates on the level of cognitive functions. Instead of viewing an MMS as decomposable by mechanistic principles, CSE introduces the concept of a cognitive system: an adaptive system which functions using knowledge about itself and the environment in the planning and modification of actions. Operators are generally acknowledged to use a model of the system (machine) with which they work. Similarly, the machine has an image of the operator. The designer of an MMS must recognize this, and strive to obtain a match between the machine's image and the user characteristics on a cognitive level, rather than just on the level of physical functions. This article gives a presentation of what cognitive systems are, and of how CSE can contribute to the design of an MMS, from cognitive task analysis to final evaluation.
325 citations
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01 Jan 1977324 citations
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01 Apr 1988TL;DR: In this article, the authors deal with dynamic VAR compensation of electric power systems, applying power electronics for reactive power generation and control, and show how the dynamic compensation increased transmittable power by providing voltage support, transient stability improvement, and power oscillation damping in electric power transmission systems.
Abstract: The author deals with dynamic VAR compensation of electric power systems, applying power electronics for reactive power generation and control. After an overview of the emergence and status of modern, solid-state VAR compensators in utility and industrial applications, it is shown how dynamic VAR compensation increased transmittable power by providing voltage support, transient stability improvement, and power oscillation damping in electric power transmission systems. Methods of reactive power generation and control using thyristor-controlled reactors, with fixed and thyristor-switched capacitors or modern gate-turn-off (GTO) power converters that can function without AC capacitors or reactors, are described. A summary is included of the control structure and operation to provide the desired characteristics and performance in power systems applications. >
323 citations
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TL;DR: In this article, a quantum theory of electrical conduction in crosfsed electric and magnetic fields is given for the limit of very weak scattering, where a density matrix formulation of the problem is used, and an arbitrary scattering mechanism is considered.
321 citations
Authors
Showing all 27975 results
Name | H-index | Papers | Citations |
---|---|---|---|
Takeo Kanade | 147 | 799 | 103237 |
Martin A. Green | 127 | 1069 | 76807 |
Shree K. Nayar | 113 | 384 | 45139 |
Dieter Bimberg | 97 | 1531 | 45944 |
Keith E. Gubbins | 85 | 466 | 35909 |
Peter K. Liaw | 84 | 1068 | 37916 |
Katsushi Ikeuchi | 78 | 636 | 20622 |
Mark R. Cutkosky | 77 | 393 | 20600 |
M. S. Skolnick | 73 | 728 | 22112 |
David D. Woods | 72 | 318 | 20825 |
Martin A. Uman | 67 | 338 | 16882 |
Michael Keidar | 67 | 566 | 14944 |
Terry C. Hazen | 66 | 354 | 17330 |
H. Harry Asada | 64 | 633 | 17358 |
Michael T. Meyer | 59 | 225 | 26947 |