Feng Gao

US Patent:

6392385, May 21, 2002

Filed:

Dec 1, 1999

Appl. No.:

09/452267

Inventors:

Jeremy Barker - Redmond WA 98052
Feng Gao - Laurel MD 20733

International Classification:

H01M 1044

US Classification:

320130, 320131

Abstract:

The present invention provides a method for cycling a battery, containing lithium metal oxide, particularly lithium manganese oxide (LMO) active material, in a cell in a manner which reduces the extent to which loss of capacity occurs. The present method of operation extends the cycle life of such battery.

US Patent:

6444370, Sep 3, 2002

Filed:

Nov 20, 1998

Appl. No.:

09/196882

Inventors:

Jeremy Barker - Redmond WA
Feng Gao - Henderson NV
Arnold Stux - Baltimore MD

Assignee:

Valence Technology, Inc. - Henderson NV

International Classification:

H01M 616

US Classification:

429332

Abstract:

The present invention provides a novel electrolyte solvent which is usable with a variety of carbonaceous and metal oxide electrode active materials, providing improved performance over a broad temperature range, and which is stabilized to maintain cell capacity over a number of cycles.

US Patent:

7873145, Jan 18, 2011

Filed:

Mar 31, 2009

Appl. No.:

12/414848

Inventors:

James Zhengshe Liu - Glenview IL, US
Chuande Liu - Waukesha WI, US
Donald F. Langler - Brookfield WI, US
Feng Gao - Naperville IL, US
Scott William Petrick - Sussez WI, US
Gary V. McBroom - Dousman WI, US

Assignee:

General Electric Company - Schenectady NY

International Classification:

H05G 1/64

US Classification:

378 988

Abstract:

A digital detector of a digital imaging system is provided. In one embodiment, the digital detector includes a flat-panel detector having a detector array for converting X-ray radiation into image data. The digital detector may also include a plurality of antennas, and the digital detector may be configured to transmit the image data via one or more antennas of the plurality of antennas. Additional systems, methods, and devices are also disclosed.

US Patent:

8213573, Jul 3, 2012

Filed:

Apr 20, 2010

Appl. No.:

12/763841

Inventors:

James Zhengshe Liu - Glenview IL, US
Feng (Frank) Gao - Naperville IL, US
Chuande Liu - Waukesha WI, US
Ping Xue - Pewaukee WI, US
Jon Omernick - Wauwatosa WI, US
Donald Langler - Brookfield WI, US

Assignee:

General Electric Company - Schenectady NY

International Classification:

G01N 23/04

US Classification:

378 62, 378 968

Abstract:

A method for imaging an object includes radiating the object of interest and sensing the radiation that penetrates through the object using a detector having at least one active area and at least one inactive area, determining when the radiation is completed using information received from the inactive area of the imaging detector, and reconstructing an image of the object using information received from the active area of the imaging detector. A medical imaging system and a computer-readable medium are also provided.

US Patent:

8217358, Jul 10, 2012

Filed:

Dec 14, 2009

Appl. No.:

12/637069

Inventors:

James Zhengshe Liu - Glenview IL, US
Feng Gao - Naperville IL, US
Kenneth Scott Kump - Waukesha WI, US

Assignee:

General Electric Company - Schenectady NY

International Classification:

G01T 1/20

US Classification:

25037009

Abstract:

A system and method for eliminating image artifacts caused by electromagnetic interference (EMI) on a digital x-ray detector. The system and method includes a digital x-ray detector panel having an array of pixels in rows and columns, with a plurality of data lines coupled to the columns of pixels and a plurality of scan lines coupled to the rows of pixels. The system and method uses certain photodiodes in a row of the pixel array for measuring EMI with corresponding scan line and FETs deactivated and eliminating the EMI and image artifacts with the remaining photodiodes in the row with corresponding scan line and FETs activated.

US Patent:

20020039688, Apr 4, 2002

Filed:

Sep 29, 1999

Appl. No.:

09/408065

Inventors:

JEREMY BARKER - REDMOND WA, US
FENG GAO - ANN ARBOR MI, US
EDWARD P. THURSTON - HOBOKEN NJ, US

International Classification:

H01M010/40
H01M004/52
H01M004/50

US Classification:

429/326000, 429/331000, 429/332000, 429/333000, 429/342000, 429/223000, 429/224000, 429/231100, 429/231300

Abstract:

The present invention provides an electrochemical cell having an electrolyte comprising a solvent and a solute, the solute comprising a lithium salt, and the solvent comprising an organic solvent selected from the group of lactones.

US Patent:

20030077518, Apr 24, 2003

Filed:

Apr 29, 2002

Appl. No.:

10/134317

Inventors:

Jeremy Barker - Redmond WA, US
Feng Gao - Henderson NV, US
Arnold Stux - Baltimore MD, US

International Classification:

H01M010/40
H01M004/50
H01M002/16

US Classification:

429/331000, 429/332000, 429/231100, 429/224000, 429/254000, 429/247000

Abstract:

The present invention provides a novel electrolyte solvent which is usable with a variety of carbonaceous and metal oxide electrode active materials, providing improved performance over a broad temperature range, and which is stabilized to maintain cell capacity over a number of cycles.

US Patent:

20220415510, Dec 29, 2022

Filed:

Aug 24, 2022

Appl. No.:

17/894363

Inventors:

- Beijing, CN
Youbing Yin - Kenmore WA, US
Junjie Bai - Seattle WA, US
Qi Song - Seattle WA, US
Kunlin Cao - Kenmore WA, US
Yi Lu - Seattle WA, US
Feng Gao - Seattle WA, US

Assignee:

Keya Medical Technology Co., Ltd. - Beijing

International Classification:

G16H 50/20
G06N 3/04
G06N 3/08

Abstract:

A method and system can be used for disease quantification modeling of an anatomical tree structure. The method may include obtaining a centerline of an anatomical tree structure and generating a graph neural network including a plurality of nodes based on a graph. Each node corresponds to a centerline point and edges are defined by the centerline, with an input of each node being a disease related feature or an image patch for the corresponding centerline point and an output of each node being a disease quantification parameter. The method also includes obtaining labeled data of one or more nodes, the number of which is less than a total number of the nodes in the graph neural network. Further, the method includes training the graph neural network by transferring information between the one or more nodes and other nodes based on the labeled data of the one or more nodes.