scispace - formally typeset
Search or ask a question
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
TL;DR: Several aspects of blipped echo‐planar imaging (EPI) are treated mathematically and it is shown how the net spatial resolution may be limited by the object's T2 characteristics and Bo field homogeneity, irrespective of the number of sampled points.
Abstract: Several aspects of blipped echo-planar imaging (EPI) are treated mathematically. An expression relating the necessary readout gradient strength and sampling time to the spatial resolution and readout duration is derived. It is shown how the net spatial resolution may be limited by the object's T2 characteristics and Bo field homogeneity, irrespective of the number of sampled points. Additionally, off-resonance effects result in a loss of spatial resolution and image distortion to a considerably greater degree than in conventional two-dimensional Fourier transform imaging. The extent of these effects is directly related to the time required to acquire the data matrix, and is therefore amplified when EPI is implemented on a standard commercial whole-body system which because of limited gradient performance uses necessarily longer sampling durations. Specific hardware modifications to a standard commercial imager are considered to allow successful EPI implementation. EPI image characteristics are compared quantitatively with those of conventional methods. © 1990 Academic Press, Inc.

365 citations

Patent
Allan S. Hay1
24 Jul 1962

365 citations

Book
07 Jan 2010
TL;DR: In this article, the authors discuss the state-of-the-art technologies for the production and purification of syngas and hydrogen, including: Gasification Reforming and catalytic partial oxidation Water-gas shift Desulfurization Membrane purification.
Abstract: Description: Covers cutting–edge technology in the production and purification of syngas and hydrogen The world's insatiable appetite for energy has highlighted the demand for a continued supply of inexpensive clean energy that is not only sustainable, but also quells concerns about greenhouse–gas emissions. Hydrogen, an energy carrier, and syngas, a building block in alternative fuels, are two such components. In this comprehensive resource, the authors discuss the state–of–the–art technologies for the production and purification of syngas and hydrogen, including: Gasification Reforming and catalytic partial oxidation Water–gas shift Desulfurization Membrane purification The authors describe how to produce syngas and hydrogen from a wide range of feedstocks, along with the chemistry, catalysis, kinetics, and thermodynamics of the reactions involved and engineering of the processes. This book serves as an essential resource to both academic and industrial readers involved in R&D in chemical, oil, and energy industries. All readers of this reference book will acquire the fundamental aspects of the new directions in the energy industry with syngas and hydrogen–based fuels.

364 citations

Journal ArticleDOI
TL;DR: In this paper, an extensive experimental study characterizing the sequence of events that lead to the formation of a very high density of Y-Ti-O solute nanoclusters (NC) in mechanically alloyed, hot isostatically pressed ferritic stainless steels is reported.

363 citations

Journal ArticleDOI
TL;DR: This work automatically detects small groups of individuals who are traveling together by bottom-up hierarchical clustering using a generalized, symmetric Hausdorff distance defined with respect to pairwise proximity and velocity.
Abstract: Building upon state-of-the-art algorithms for pedestrian detection and multi-object tracking, and inspired by sociological models of human collective behavior, we automatically detect small groups of individuals who are traveling together. These groups are discovered by bottom-up hierarchical clustering using a generalized, symmetric Hausdorff distance defined with respect to pairwise proximity and velocity. We validate our results quantitatively and qualitatively on videos of real-world pedestrian scenes. Where human-coded ground truth is available, we find substantial statistical agreement between our results and the human-perceived small group structure of the crowd. Results from our automated crowd analysis also reveal interesting patterns governing the shape of pedestrian groups. These discoveries complement current research in crowd dynamics, and may provide insights to improve evacuation planning and real-time situation awareness during public disturbances.

362 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
Network Information
Related Institutions (5)
Massachusetts Institute of Technology
268K papers, 18.2M citations

86% related

Bell Labs
59.8K papers, 3.1M citations

86% related

Georgia Institute of Technology
119K papers, 4.6M citations

86% related

Argonne National Laboratory
64.3K papers, 2.4M citations

85% related

Oak Ridge National Laboratory
73.7K papers, 2.6M citations

85% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
202216
2021415
20201,027
20191,418
20181,862