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Institution

General Electric

CompanyBoston, Massachusetts, United States
About: General Electric is a company organization based out in Boston, Massachusetts, United States. It is known for research contribution in the topics: Turbine & Rotor (electric). The organization has 76365 authors who have published 110557 publications receiving 1885108 citations. The organization is also known as: General Electric Company & GE.
Topics: Turbine, Rotor (electric), Signal, Combustor, Coating


Papers
More filters
Journal ArticleDOI
M.J. Rice1, W.L. Roth1
TL;DR: In this paper, a theoretical model for ionic transport phenomena in such super ionic conductors is presented based on the hypothesis that there exists in the ionic conductor an energy gap ϵ0 above which ions of mass M, belonging to the conducting species, can be thermally excited from localized ionic states to free-ion like states in which an ion propagates throughout the solid with a velocity vm and energy ϵ m = 1 2 M v m 2.

317 citations

Journal ArticleDOI
Irving Langmuir1
TL;DR: In this article, a quantitative theory is developed for the efficiency of the accretion process considering the trajectories of the small droplets moving near the surface of the larger falling drop.
Abstract: The effect of surface tension in causing the evaporation of the smaller droplets in clouds with simultaneous growth of the larger droplets is an important factor determining the early stages of cumulus cloud droplets. The process is too slow to account for the formation of raindrops. If larger droplets are produced near the top of the cloud by the melting of snowflakes (Bergeron-Findeisen) they may grow to raindrop size by accretion due to coalescence with cloud droplets. A quantitative theory is developed for the efficiency of the accretion process considering the trajectories of the small droplets moving near the surface of the larger falling drop. Heavy rain consisting of large drops frequently forms in tropical clouds which lie wholly below the freezing level (‘warm’ clouds). Large summer cumulus clouds with tops above 23,000 ft, reaching above the freezing level (‘cool’ clouds), after seeding with dry ice have given heavy rain of large drops which reach the ground within fifteen to twenty mi...

317 citations

Patent
Tan Wei1, Cheng Gang1
20 Dec 2012
TL;DR: In this article, an apparatus consisting of a vibrator configured to vibrate a needle, an ultrasonic scanhead configured to transmit ultrasonic pulses and to receive return signals, and a displacement estimation module is configured to calculate motion displacements based on phase differences of the electrical signals.
Abstract: An apparatus is provided. The apparatus comprises a vibrator configured to vibrate a needle, an ultrasonic scanhead configured to transmit ultrasonic pulses and to receive return signals, and an ultrasonic system coupled to the ultrasonic scanhead. The ultrasonic system comprises a transmitter and receiver module coupled to the ultrasonic scanhead, a displacement estimation module coupled to the transmitter and receiver module, and a display coupled to the displacement estimation module. The transmitter and receiver module is configured to supply energizing pulses to the ultrasonic scanhead to transmit the ultrasonic pulses and to receive electrical signals produced by the ultrasonic scanhead according to the return signals. The displacement estimation module is configured to calculate motion displacements based on phase differences of the electrical signals. The display is configured to display an image according to the motion displacements.

317 citations

Journal ArticleDOI
R. Newman1
TL;DR: In this article, the effects of surface treatment on the phenomenon are discussed and two typical light output vs reverse current curves are shown, which suggest that the light results from a radiative relaxation mechanism involving the high-energy carriers produced in the avalanche breakdown process.
Abstract: When low-voltage silicon $p\ensuremath{-}n$ junctions are biased in the reverse direction to breakdown, visible light is emitted from the junction region. The effects of surface treatment on the phenomenon are discussed. Two typical light output vs reverse current curves are shown. A typical spectral distribution curve in the 1.8-3.4 ev range is shown. The observations suggest that the light results from a radiative relaxation mechanism involving the high-energy carriers produced in the avalanche breakdown process.

316 citations

Proceedings Article
01 Oct 2013
TL;DR: This study explores the feasibility of performing Chinese word segmentation and POS tagging by deep learning, and describes a perceptron-style algorithm for training the neural networks, as an alternative to maximum-likelihood method to speed up the training process and make the learning algorithm easier to be implemented.
Abstract: This study explores the feasibility of performing Chinese word segmentation (CWS) and POS tagging by deep learning. We try to avoid task-specific feature engineering, and use deep layers of neural networks to discover relevant features to the tasks. We leverage large-scale unlabeled data to improve internal representation of Chinese characters, and use these improved representations to enhance supervised word segmentation and POS tagging models. Our networks achieved close to state-of-theart performance with minimal computational cost. We also describe a perceptron-style algorithm for training the neural networks, as an alternative to maximum-likelihood method, to speed up the training process and make the learning algorithm easier to be implemented.

316 citations


Authors

Showing all 76370 results

NameH-indexPapersCitations
Cornelia M. van Duijn1831030146009
Krzysztof Matyjaszewski1691431128585
Gary H. Glover12948677009
Mark E. Thompson12852777399
Ron Kikinis12668463398
James E. Rothman12535860655
Bo Wang119290584863
Wei Lu111197361911
Harold J. Vinegar10837930430
Peng Wang108167254529
Hans-Joachim Freund10696246693
Carl R. Woese10527256448
William J. Koros10455038676
Thomas A. Lipo10368243110
Gene H. Golub10034257361
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
202216
2021415
20201,027
20191,418
20181,862