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Daniel Toby Elozory

from Tampa, FL
Age ~61
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Also known as:
Daniel T Elozory, Adam Elozory, Cody Elozory, Bonnie Elozory
Phone and address:
13811 Shady Shores Dr, Tampa, FL 33613
(813) 269-4429
Related to:
Raanan Elozory, 64Janet Elozory, 63Ruth Elozory, 28Racel Elozory
Connected to:
Arthur C Elpa, 60Yvinn Elpedes, 54Anne I Elperin, 72David G Elpern, 77Andrew J Elpers, 41Joseph G Elpers, 58Kim M Elpers, 67Robert E Elpers, 68Kimberly Elphick, 68Ryan Z Elphick, 32

Daniel Elozory Phones & Addresses

  • 13811 Shady Shores Dr, Tampa, FL 33613 (813) 269-4429
  • Burbank, CA
  • Norfolk, VA
  • Virginia Beach, VA

Work

Company: University of south florida Aug 2008 Position: Grad student, research assistant, teaching assistant

Education

Degree: BSEE School / High School: University of Florida 1981 to 1985 Specialities: Electrical Engineering

Skills

C++ • C# • Sql • C • Javascript • Microsoft Sql Server • Vba • .Net • Html • Management • Databases • Visual Basic • Java • Programming • Access • Software Development • Testing • Scrum • Agile Methodologies • Digital Image Processing • Ms Sql • Microsoft Office • Web Applications • Microsoft Excel • Fortran • Pascal • Css • Visual Studio • Mvbase • Ada Programming • Database Design • Machine Learning • Data Analysis • Matlab • Latex • Php • Mysql • Calculus • Microscopy

Interests

Education

Industries

Computer Software

Resumes

Resumes

Daniel Elozory Photo 1

Daniel Elozory

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Location:
Tampa, FL
Industry:
Computer Software
Work:
University of South Florida since Aug 2008
Grad Student, Research Assistant, Teaching Assistant
Westshore Glass Corp Mar 1991 - Jun 2008
Chief Financial Officer
Education:
University of Florida 1981 - 1985
BSEE, Electrical Engineering
Skills:
C++
C#
Sql
C
Javascript
Microsoft Sql Server
Vba
.Net
Html
Management
Databases
Visual Basic
Java
Programming
Access
Software Development
Testing
Scrum
Agile Methodologies
Digital Image Processing
Ms Sql
Microsoft Office
Web Applications
Microsoft Excel
Fortran
Pascal
Css
Visual Studio
Mvbase
Ada Programming
Database Design
Machine Learning
Data Analysis
Matlab
Latex
Php
Mysql
Calculus
Microscopy
Interests:
Education

Business Records

Name / Title
Company / Classification
Phones & Addresses
Daniel T. Elozory
Director
Sunshine Mirror Inc
Construction · Chemicals · Ret Misc Homefurnishings
PO Box 15216, Tampa, FL 33684
7337 Commercial Cir, Fort Pierce, FL 34951
7337 S Coml Cir King Hwy, Fort Pierce, FL 34951
Daniel T. Elozory
Director
Sunshine Performance Glass, Inc
Ret Paint/Glass/Wallpaper · Glass Repair
5300 Adamo Dr, Tampa, FL 33619
PO Box 15216, Tampa, FL 33684
1455 Danner Dr, Aurora, OH 44202
(813) 769-7021, (813) 769-7020
Daniel T. Elozory
Manager
Wgc Partners, LLC
5300 W Knox St, Tampa, FL 33634
PO Box 15216, Tampa, FL 33684
11431 Knights Griffin Rd, Thonotosassa, FL 33592
Daniel T. Elozory
Westshore Group, Lllp
Business Services at Non-Commercial Site
PO Box 15216, Tampa, FL 33684
11431 Knights Griffin Rd, Thonotosassa, FL 33592
12550 Kelso Rd, Thonotosassa, FL 33592

Publications

Us Patents

Automatic Stereological Analysis Of Biological Tissue Including Section Thickness Determination

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US Patent:
20120236120, Sep 20, 2012
Filed:
Feb 13, 2012
Appl. No.:
13/371889
Inventors:
Kurt A. Kramer - Port Richey FL, US
Peter R. Mouton - St. Petersburg FL, US
Lawrence O. Hall - Tampa FL, US
Dmitry Goldgof - Lutz FL, US
Daniel T. Elozory - Tampa FL, US
Om Pavithra Bonam - Wesley Chapel FL, US
Baishali Chaudhury - Tampa FL, US
Assignee:
Stereology Resource Center, Inc. - Chester MD
University of South Florida - Tampa FL
International Classification:
H04N 13/02
G06K 9/00
US Classification:
348 46, 382128, 382133, 348E13074
Abstract:
Systems and methods are provided for automatic determination of slice thickness of an image stack in a computerized stereology system, as well as automatic quantification of biological objects of interest within an identified slice of the image stack. Top and bottom boundaries of a slice can be identified by applying a thresholded focus function to determine just-out-of-focus focal planes. Objects within an identified slice can be quantified by performing a color processing segmentation followed by a gray-level processing segmentation. The two segmentation processes generate unique identifiers for features in an image that can then be used to produce a count of the features.
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Daniel Toby Elozory from Tampa, FL, age ~61 Get Report