Dong Guang Wang

US Patent:

6535156, Mar 18, 2003

Filed:

Dec 28, 2000

Appl. No.:

09/752064

Inventors:

Dong Wang - Sacramento CA
Tunde Gyurics - Davis CA

Assignee:

Intel Corporation - Santa Clara CA

International Classification:

H03M 100

US Classification:

341156, 341120, 341129

Abstract:

A method that correlates a course analog to digital converter (ADC) output value against a folded fine ADC transfer curve slope value to determine an ADC circuit region. The folded fine ADC has a greater resolution than the course ADC. A decoder that correlates a course analog to digital converter (ADC) output value against a folded fine ADC transfer curve slope value to determine an ADC circuit region. The folded fine ADC has greater resolution than the course ADC.

US Patent:

8105682, Jan 31, 2012

Filed:

Aug 31, 2007

Appl. No.:

12/310612

Inventors:

Gang Sun - Davis CA, US
Dong Wang - Davis CA, US

Assignee:

The Regents of the University of California - Oakland CA

International Classification:

D04H 1/00

US Classification:

4282921

Abstract:

The present invention provides methods of making micron, submicron or nanometer dimension thermoplastic polymer microfibrillar composites and fibers, and methods of using the thermoplastic polymer microfibers and nanofibers in woven fabrics, biocidal textiles, biosensors, membranes, filters, protein support and organ repairs. The methods typically include admixing a thermoplastic polymer and a matrix material to form a mixture, where the thermoplastic and the matrix are thermodynamically immiscible, followed by extruding the mixture under conditions sufficient to form a microfibrillar composite containing a plurality of the thermoplastic polymer microfibers and/or nanofibers embedded in the matrix material. The microfibers and/or nanofibers are isolated by removing the surrounding matrix. In one embodiment, the microfibrillar composite formed is further extended under conditions sufficient to form a drawn microfibrillar and/or nanofibrillar composite with controlled diameters.

US Patent:

20050001708, Jan 6, 2005

Filed:

Jun 23, 2003

Appl. No.:

10/602095

Inventors:

Dawson Kesling - Davis CA, US
Dong Wang - Sacramento CA, US

International Classification:

H01F027/28

US Classification:

336223000

Abstract:

Some embodiments provide an integrated inductor, and one or more electrically isolated metallic units disposed proximate to the inductor. The inductor and the one or more metallic units satisfy a metal density rule, and substantially no current is to flow within one or more of the one or more metallic units during operation of the inductor.

US Patent:

20110035259, Feb 10, 2011

Filed:

Aug 7, 2009

Appl. No.:

12/537429

Inventors:

Shirshanka Das - Santa Clara CA, US
Bhaskar Ghosh - Palo Alto CA, US
Dong Wang - Saratoga CA, US

Assignee:

Yahoo! Inc. - Sunnyvale CA

International Classification:

G06Q 10/00
G06Q 30/00

US Classification:

705 10

Abstract:

A modeling system to evaluate cost-based viability of a real-time, auction-based advertising system with third-party integration includes an exchange server configured to receive advertising bids, create bid requests to third-party entities based thereon, and select a winning bid from responses to the requests. A computer, coupled with the exchange server: computes a plurality of valid paths from publishers to and from the third-party entities through the exchange server; estimates server and network costs, including fixed hardware costs and variable operational costs, amortized over a predetermined period of time, based on a number of average queries per second (QPS) transmitted at different portions of the valid paths; compares current periodic fees paid by the third-party entities to the amortized costs, to determine cost-based system viability; and determines updates, if needed, to the periodic fees based on the plurality of costs to maintain cost-based system viability.

US Patent:

20220270364, Aug 25, 2022

Filed:

Feb 9, 2022

Appl. No.:

17/667758

Inventors:

- Palo Alto CA, US
Dong Wang - San Jose CA, US
Deepak Menghani - Mountain View CA, US
John Goddard - Mountain View CA, US
Ryan Tobin - Sacramento CA, US

International Classification:

G06V 20/40
G06K 9/62
G11B 27/34
G11B 27/36
G06F 16/74
G06F 16/783
G06F 16/2457
G06F 3/00
G06F 16/738

Abstract:

Described herein are systems and methods that search videos and other media content to identify items, objects, faces, or other entities within the media content. Detectors identify objects within media content by, for instance, detecting a predetermined set of visual features corresponding to the objects. Detectors configured to identify an object can be trained using a machine learned model (e.g., a convolutional neural network) as applied to a set of example media content items that include the object. The systems provide user interfaces that allow users to review search results, pinpoint relevant portions of media content items where the identified objects are determined to be present, review detector performance and retrain detectors, providing search result feedback, and/or reviewing video monitoring results and analytics.

US Patent:

20220261128, Aug 18, 2022

Filed:

May 7, 2022

Appl. No.:

17/739077

Inventors:

- Palo Alto CA, US
Dong Wang - San Jose CA, US
Deepak Menghani - Mountain View CA, US
John Goddard - Mountain View CA, US
Ryan Tobin - Sacramento CA, US

International Classification:

G06F 3/0484
G06V 20/40

Abstract:

Described herein are systems and methods that search videos and other media content to identify items, objects, faces, or other entities within the media content. Detectors identify objects within media content by, for instance, detecting a predetermined set of visual features corresponding to the objects. Detectors configured to identify an object can be trained using a machine learned model (e.g., a convolutional neural network) as applied to a set of example media content items that include the object. The systems provide user interfaces that allow users to review search results, pinpoint relevant portions of media content items where the identified objects are determined to be present, review detector performance and retrain detectors, providing search result feedback, and/or reviewing video monitoring results and analytics.

US Patent:

20210303863, Sep 30, 2021

Filed:

Jun 12, 2021

Appl. No.:

17/346202

Inventors:

- Palo Alto CA, US
Dong Wang - San Jose CA, US
Deepak Menghani - Mountain View CA, US
John Goddard - Mountain View CA, US
Ryan Tobin - Sacramento CA, US

International Classification:

G06K 9/00
G06K 9/62
G11B 27/34
G11B 27/36
G06F 16/74
G06F 16/783
G06F 16/2457
G06F 3/00
G06F 16/738

Abstract:

Described herein are systems and methods that search videos and other media content to identify items, objects, faces, or other entities within the media content. Detectors identify objects within media content by, for instance, detecting a predetermined set of visual features corresponding to the objects. Detectors configured to identify an object can be trained using a machine learned model (e.g., a convolutional neural network) as applied to a set of example media content items that include the object. The systems provide user interfaces that allow users to review search results, pinpoint relevant portions of media content items where the identified objects are determined to be present, review detector performance and retrain detectors, providing search result feedback, and/or reviewing video monitoring results and analytics.

US Patent:

20210220489, Jul 22, 2021

Filed:

Jan 13, 2021

Appl. No.:

17/148377

Inventors:

- Stanford CA, US
Mark Schnitzer - Redwood City CA, US
Benjamin Grewe - Zurich, CH
Dong Wang - Palo Alto CA, US
Biafra Ahanonu - San Francisco CA, US
Gregory Corder - Philadelphia PA, US

International Classification:

A61K 49/00
A61K 9/00
C07K 16/28
C12N 15/113

Abstract:

An ensemble of neurons in the basolateral amygdala (BLA) has been identified that encodes nociceptive information across pain modalities, including pain evoked by noxious thermal and mechanical stimuli. Methods are provided for screening candidate agents for inhibition of neural activity of the BLA nociceptive ensemble. Screening assays further include determining the effectiveness of candidate agents in alleviating pain and reducing aversive pain avoidance behavior.