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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 & Signal. 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, Signal, Rotor (electric), Coating, Combustor


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors obtained exact solutions to the diffusion equation which correspond to diffusion controlled growth of elliptical paraboloids (dendrites; forward growth with linear time dependence) and spheroids (growth with square root of time dependence).

374 citations

Journal ArticleDOI
TL;DR: This paper presents a new method for obtaining a probabilistic load flow solution using a discrete frequency domain convolution technique that has greater accuracy while providing a breakthrough in computational speed.
Abstract: This paper presents a new method for obtaining a probabilistic load flow solution using a discrete frequency domain convolution technique. It is shown that this method has greater accuracy while providing a breakthrough in computational speed. A detailed example compares the numerical results with a Monte Carlo simulation. The effects of nonlinearity in the network equations are discussed.

373 citations

Journal ArticleDOI
Krishnamurthy1
TL;DR: This-paper generalizes the ideas of Fiduccia and Mattheyses and suggests a class of increasingly sophisticated heuristics, and shows that the computational complexity of any specific heuristic in the suggested class remains linear in the size of the network.
Abstract: Recently, a fast (linear) heuristic for improving min-cut partitions of VLSI networks was suggested by Fiduccia and Mattheyses [6]. In this-paper we generalize their ideas and suggest a class of increasingly sophisticated heuristics. We then show, by exploiting the data structures originally suggested by them, that the computational complexity of any specific heuristic in the suggested class remains linear in the size of the network.

373 citations

Journal ArticleDOI
TL;DR: A novel method for modeling swept voume by computing a family of critical curves from a moving solid is presented, developed for real-time verification of NC tool paths using computer graphics.
Abstract: The modeling of swept volume is important in simulating the interference between a moving solid and its environment. This article presents a novel method for modeling swept voume by computing a family of critical curves from a moving solid. Based on this approach, a system has been developed for real-time verification of NC tool paths using computer graphics.

373 citations

Proceedings ArticleDOI
21 Mar 2009
TL;DR: In this article, the scaling of magnetic component size with frequency is investigated, and it is shown that substantial miniaturization is possible with increased frequencies even considering material and heat transfer limitations.
Abstract: THIS paper explores opportunities and challenges in power conversion in the VHF frequency range of 30-300 MHz. The scaling of magnetic component size with frequency is investigated, and it is shown that substantial miniaturization is possible with increased frequencies even considering material and heat transfer limitations. Likewise, dramatic frequency increases are possible with existing and emerging semiconductor devices, but necessitate circuit designs that either compensate for or utilize device parasitics. We outline the characteristics of topologies and control methods that can meet the requirements of VHF power conversion, and present supporting examples from power converters operating at frequencies of up to 110 MHz.

371 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