PATRICIA S BROWN
Nursing at Old Tramway Dr, Melbourne, FL

License number
Florida 9209436
Issued Date
Oct 27, 2003
Effective Date
Apr 10, 2017
Expiration Date
Apr 30, 2017
Category
Health Care
Type
Registered Nurse
Address
Address
8023 Old Tramway Dr, Melbourne, FL 32940

Professional information

Patricia Brown Photo 1

Marketing And Advertising Professional

Location:
Melbourne, Florida Area


Patricia Brown Photo 2

Systems And Methods For Efficient Analysis Of Topographical Models

US Patent:
2013023, Sep 5, 2013
Filed:
Mar 1, 2012
Appl. No.:
13/409601
Inventors:
J. Harlan Yates - Melbourne FL, US
Mark Rahmes - Melbourne FL, US
Robert Haden - Rockledge FL, US
Patricia Brown - Melbourne FL, US
Assignee:
HARRIS CORPORATION - Melbourne FL
International Classification:
G06G 7/48
US Classification:
703 1
Abstract:
Systems () and methods () for analyzing topographical models. The methods involve receiving a user input selecting a first content type from a plurality of content types. In response to the reception of the user input, First Model Chips (“FMCs”) are simultaneously generated using terrain elevation data defining a First Topographical Model (“FTM”). Each FMC () comprises at least one of a panned-only view, a zoomed-only view, and a panned-and-zoomed view of FTM () including at least one item (-) of the first content type that is different from all other items of all other FMCs. Thereafter, a first screen page () is displayed on a display screen of a computing device. The first screen page comprises a first array () defined by a plurality of first cells (). Each of the first cells has one of FMCs presented therein.


Patricia Brown Photo 3

Systems And Methods For Efficient Feature Based Image And Video Analysis

US Patent:
2013023, Sep 5, 2013
Filed:
Mar 1, 2012
Appl. No.:
13/409639
Inventors:
J. Harlan Yates - Melbourne FL, US
Mark Rahmes - Melbourne FL, US
Patricia Brown - Melbourne FL, US
Timothy B. Faulkner - Palm Bay FL, US
Assignee:
HARRIS CORPORATION - Melbourne FL
International Classification:
G06K 9/46
US Classification:
382190
Abstract:
Systems () and methods () for efficient spatial feature data analysis. The methods involve simultaneously generating chip images using image data defining at least a first image and video chips using video data defining at least a first video stream. Thereafter, an array is displayed which comprises grid cells in which at least a portion of the chip images is presented, at least a portion of the video chips is presented, or a portion of the chip images and a portion of the video chips are presented. Each chip image comprises a panned-only view, a zoomed-only view, or a panned-and-zoomed view of the first image including a visual representation of at least one first object of a particular type. Each of the video chips comprises a segment of the first video stream which include a visual representation of at least one second object of the particular type.


Patricia Brown Photo 4

Systems And Methods For Efficient Spatial Feature Analysis

US Patent:
2013015, Jun 20, 2013
Filed:
Dec 16, 2011
Appl. No.:
13/327975
Inventors:
J. Harlan Yates - Melbourne FL, US
Mark Rahmes - Melbourne FL, US
Robert Haden - Rockledge FL, US
Patricia Brown - Melbourne FL, US
Assignee:
HARRIS CORPORATION - Melbourne FL
International Classification:
G06F 3/048
US Classification:
715790
Abstract:
Systems () and methods () for efficient spatial feature data analysis. The methods involve simultaneously generating two or more chip images () using image data defining a first image (); concurrently displaying an array () comprising all or a portion of the chip images in a plug-in window (); and displaying in the plug-in window information relating to an attribute (a, a) of a feature (A) contained in a selected one of the displayed chip images (). The chip images are generated in response to a user selection of a feature (A) contained in at least a portion of the first image displayed in an application window (). Each of the chip images comprises a panned view, a zoomed view, or a panned-and-zoomed view of the first image including one or more features of a user-selected feature class.