Sean Tr Etal Mccarthy

US Patent:

20180029092, Feb 1, 2018

Filed:

Jul 26, 2017

Appl. No.:

15/660920

Inventors:

- Arlington VA, US
Richard Crout - Slidell LA, US
Sonia Gallegos - Slidell LA, US
Sean C. McCarthy - Carriere MS, US
Joel Wesson - Picayune MS, US

International Classification:

B09C 1/00
G06T 17/30
G06T 15/04
G01N 33/18
G06T 15/08
G06F 19/00

Abstract:

Embodiments relate to instrumentation configuration for emergency response. Initially, instrument profiles are obtained from an instrument data source, where each instrument profile corresponds to an instrument for emergency response. Criteria are applied to each of the instrument profiles to determine performance scores for the instruments. Scenario sensors are used to collect real-time measurements at a geographic location of an emergency. At this stage, scenario parameters comprising the real-time measurements are obtained from a scenario data source. Each instrument profile is evaluated based on the scenario parameters to determine a suitability index. The performance score and the suitability index of each instrument profile is combined to determine an instrument rating. An instrument subset is selected from the instruments based on the instrument ratings. An instrumentation configuration for the instrument subset is generated, where the instrumentation configuration is used to deploy at least one instrument on a response vehicle or instrument platform.

US Patent:

20160291203, Oct 6, 2016

Filed:

Apr 6, 2016

Appl. No.:

15/092227

Inventors:

- ARLINGTON VA, US
Sergio deRada - Pearl River LA, US
Sean C. McCarthy - Carriere MS, US

Assignee:

The Government of the United States of America, as represented by the Secretary of the Navy - ARLINGTON VA

International Classification:

G01W 1/00
G06F 17/10
G06F 17/50

Abstract:

System and method for rapidly merging earth observations with numerical simulations to provide an on-line decision-support tool for ecological forecasting. The output products will be gridded fields that incorporate both climatological variability and real-time observations. The system and method are based upon four elements: 1) a long-term, coupled biological-optical-physical simulation model run, 2) earth observation (EO) time-series (remote sensing), 3) historical in-situ data, and 4) real-time remote sensing data and in-situ observations.