Brian D Garrett

Address:

10230 Wildlife Rd, Charlotte, NC 28278

VIN:

WDBUF22X37B068134

Make:

MERCEDES-BENZ

Model:

E-CLASS

Year:

2007

US Patent:

20130188182, Jul 25, 2013

Filed:

Jan 17, 2013

Appl. No.:

13/743457

Inventors:

Brian Garrett - Cary NC, US
Todd Blonshine - Cary NC, US
W. Stanley Ayers - Cary NC, US

International Classification:

G01J 3/44

US Classification:

356301

Abstract:

A Raman spectrometer optically separates an optical signal scattered by a sample from an incident excitation light beam into an unshifted return component at a first wavelength and one or more Raman scattered components at shifted wavelengths characteristic of the sample. The unshifted return component—but not the Raman scattered components—is attenuated prior to impinging on an optical detector. The unshifted return then serves as the basis for real-time calibration to account for fluctuations in optical intensity, wavelength shift, and/or spectral peak width, based on a comparison of the unshifted return peak to a reference standard for stable reflectance.

US Patent:

20130311136, Nov 21, 2013

Filed:

May 17, 2013

Appl. No.:

13/896717

Inventors:

Todd Blonshine - Cary NC, US
Brian Garrett - Morrisville NC, US
Peter Cregger - Raleigh NC, US
Stan Ayers - Cary NC, US
Adam Wright - Cary NC, US

Assignee:

Mustard Tree Instruments, LLC - Research Triangle Park NC

International Classification:

G06F 19/00

US Classification:

702180, 702189

Abstract:

A rule-based verification testing methodology automates the process and allows for field deployment of verification testing instrumentation. A rule-based chemical monitoring methodology automates the verification of a chemical being monitored, as well as the instrument and a sample path, increasing the confidence in the verification process. In both methods, at least Raman spectra of a sample are captured, and compared to a model that is based on reference data. Predetermined, flexible, parameterized rules control the comparison. Additional physical properties, such as color and size, may also be compared (also controlled by predetermined rules).

US Patent:

47015756, Oct 20, 1987

Filed:

May 27, 1986

Appl. No.:

6/867069

Inventors:

Chakra V. Gupta - Conover NC
Brian D. Garrett - Conover NC

Assignee:

Comm/Scope Company - Catawba NC

International Classification:

H01B 718
H01B 728

US Classification:

174107

Abstract:

A corrosion-resistant electric cable has a metallic conductor, a polymeric insulating jacket surrounding the metallic conductor, and a corrosion-inhibiting powder comprised of a hydrophobic material disposed between the metallic conductor and the insulating jacket. The corrosion-inhibiting powder may be comprised of a mixture of a hydrophobic fumed silica powder and a hydrophobic polyethylene powder.

US Patent:

46910816, Sep 1, 1987

Filed:

Apr 16, 1986

Appl. No.:

6/852776

Inventors:

Chakra V. Gupta - Conover NC
Brian D. Garrett - Conover NC

Assignee:

Comm/Scope Company - Catawba NC

International Classification:

H01B 734

US Classification:

174105R

Abstract:

The cable shielding tape of this invention comprises a metal foil layer and a polymer supporting layer fusibly bonded directly to the aluminum foil layer and serving to structurally reinforce the foil layer. The polymer supporting layer comprises a polymer blend of a polyolefin component and an elastomeric component.

US Patent:

20210326797, Oct 21, 2021

Filed:

Apr 16, 2020

Appl. No.:

16/850600

Inventors:

- Armonk NY, US
Jonathan Tristan O'Gorman - Cork, IE
Brian Russell Garrett - Apex NC, US
Sarkia Budhiraja - Westford MA, US
Alessandro Donatelli - Roma, IT

International Classification:

G06Q 10/06
G06F 16/28
G06F 9/451
G06Q 10/10
G06Q 10/00

Abstract:

A method of expert peer identification includes receiving, from a user, a request for an expert peer for an asset type, and obtaining asset interaction data relevant to the request including a list of assets, and, for each asset on the list, values for each of a set of pre-defined interaction categories for each worker that has interacted with the asset. The method further includes, for each asset on the list, respectively multiplying the interaction category values by a corresponding set of category weights to obtain a set of weighted interaction values, and, for each worker, processing the sum of their weighted interaction values to obtain an overall centrality measure. The method also includes selecting one of the workers as the expert peer based, at least in part, on their overall centrality measure, and identifying the expert peer to the user.