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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
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Patent
06 Feb 2007
TL;DR: An energy management system for use with off-highway vehicles, including locomotives, that traverse a known course is described in this paper, where a processor determines power storage and transfer parameters, including data indicative of present and future track profile information.
Abstract: An energy management system for use with off-highway vehicles, including locomotives, that traverse a known course. A processor determines power storage and transfer parameters, including data indicative of present and future track profile information. The energy management system controls the storage and regeneration of electrical energy. A hybrid energy locomotive system has an energy storage and regeneration system. In one form, the system can be retrofitted into existing locomotives or installed as original equipment. The energy storage and regeneration system captures dynamic braking energy, excess motor energy, and or externally supplied energy. The captured energy is stored in an energy storage system such as a battery, a flywheel system, or a capacitor system. The energy storage and regeneration system can be located in a separate energy tender vehicle. The separate energy tender vehicle is optionally equipped with traction motors.

208 citations

Journal ArticleDOI
TL;DR: Extensive grain growth was observed by scanning electron microscopy in very porous Al2O3 compacts, even at densities <40% of theoretical after ∼7% shrinkage at 1700°C, the grain size increased from ∼03 to 051 μm in a compact having a relative green density of 031 as mentioned in this paper.
Abstract: Extensive grain growth was observed by scanning electron microscopy in very porous Al2O3 compacts, even at densities <40% of theoretical After ∼7% shrinkage at 1700°C, the grain size increased from ∼03 to 051 μm in a compact having a relative green density of 031 During grain growth in highly porous compacts, the grains appear initially to be chainlike, then to be oblong, and finally to be equiaxed The proposed mechanism of initial grain growth involves the filling of necks between adjacent grains followed by the movement of the grain boundary through the smaller grain Although grain growth in very porous compacts is quite different from coalescence and ordinary grain growth, the kinetics are similar

207 citations

Journal ArticleDOI
TL;DR: In this article, a new class of power devices based on an optimal combination of MOS and thyristor elements is described, which can switch from on-to-off or off-toon by applying a voltage to its MOS gate.
Abstract: A new class of power devices is described that is based on an optimal combination of MOS and thyristor elements. Devices of this class function in the ON-state and OFF-state in a manner indistinguishable from a thyristor yet can switch from on-to-off or off-to-on by applying a voltage to its MOS gate. Thus, the devices exhibit extremely low forward drop, high surge current capability, and enjoy negative thermal feedback. To turn off the device, one activates the gate so that FET's are turned on to effectively short one of the emitting junctions of the thyristor. These FET's need only block a maximum of about 1 V when off and carry a sizable current for about 1 µs when on. To turn on the device, any of the normal methods may be employed. However, it is most convenient to use the same MOS gate electrode (and polysilicon layer) and a voltage of the opposite polarity to turn on the thyristor with another FET-just as if it were a normal MOS gated thyristor. The current density that can be turned off depends on the density and effective resistance of the turn-off FET's while turn-on speed and di/ dt rating depend on the initial turn-on area, which in turn depends on the density of the ON-FET's. If the OFF-gate voltage is maintained during the desired OFF-state period, the device has, effectively, an infinite dv/dt capability. Switching speed is most similar to, but somewhat faster than, that of gate turn-off thyristors (GTO's) and, as in other bipolar devices, depends chiefly on carrier recombination time, device thickness, and turn-off di/dt .

207 citations

Journal ArticleDOI
TL;DR: This paper applies SVMs for texture classification, using translation-invariant features generated from the discrete wavelet frame transform, and uses a fusion scheme based on multiple SVMs, each with a different setting of the kernel parameter.

207 citations

Journal ArticleDOI
TL;DR: In this study, 4 physicians segmented glioblastoma multiforme patients in 10 patients, once using the competitive region-growing based GrowCut segmentation module of Slicer, and once purely by drawing boundaries completely manually on a slice-by-slice basis.
Abstract: Volumetric change in glioblastoma multiforme (GBM) over time is a critical factor in treatment decisions. Typically, the tumor volume is computed on a slice-by-slice basis using MRI scans obtained at regular intervals. (3D)Slicer - a free platform for biomedical research - provides an alternative to this manual slice-by-slice segmentation process, which is significantly faster and requires less user interaction. In this study, 4 physicians segmented GBMs in 10 patients, once using the competitive region-growing based GrowCut segmentation module of Slicer, and once purely by drawing boundaries completely manually on a slice-by-slice basis. Furthermore, we provide a variability analysis for three physicians for 12 GBMs. The time required for GrowCut segmentation was on an average 61% of the time required for a pure manual segmentation. A comparison of Slicer-based segmentation with manual slice-by-slice segmentation resulted in a Dice Similarity Coefficient of 88.43 ± 5.23% and a Hausdorff Distance of 2.32 ± 5.23 mm.

207 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