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Kevin J Perveiler

from Wake Forest, NC
Age ~62
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Also known as:
Kevin Perveiler, Kevin John Perveiler, Ashley Perveiler, Kevin R
Phone and address:
2605 Loring Lake Dr, Wake Forest, NC 27587
(919) 569-0134
Related to:
Skip Thompson, 77Christine Golden, 52Rachelle Vandruff, 34Christopher L Golden, 50Kristopher S Parker, 45
Connected to:
Elizabeth Pervenecki, 32Megan L Pervenecki, 43Sandra L Perveneckis, 68Noelle M Pervere, 37Ahmad Pervez, 53Ahmad Pervez, 75Aisha M Pervez, 46Mubashir Pervez, 40Nadia Pervez, 46Sadiq W Pervez, 67

Kevin Perveiler Phones & Addresses

  • 2605 Loring Lake Dr, Wake Forest, NC 27587 (919) 569-0134 (252) 569-0134
  • Wade, NC
  • Monroe, CT
  • 14 Farmington Dr, Shrewsbury, MA 01545 (508) 845-0134
  • 14B Farmington Dr, Shrewsbury, MA 01545
  • Trumbull, CT

Work

Company: Allscripts Jan 2019 Position: Senior technical writer and ip coordinator

Education

Degree: Associates School / High School: Itt Advanced Technology Center (Itt Corporate R&D Center) Specialities: Software Engineering

Skills

Technical Communication • Software Documentation • Online Help • Enterprise Software • Agile Methodologies • Framemaker • Technical Writing • Information Architecture • Technical Documentation • Software Development • Content Management • Robohelp • Xml • User Experience • Requirements Analysis • Snagit • Usability Testing • Invention

Industries

Computer Software

Resumes

Resumes

Kevin Perveiler Photo 1

Senior Technical Writer And Ip Coordinator

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Location:
2605 Loring Lake Dr, Wake Forest, NC 27587
Industry:
Computer Software
Work:
Allscripts
Senior Technical Writer and Ip Coordinator
Allscripts Mar 2018 - Dec 2018
Contract Senior Technical Writer
Quirkyuncle.com Aug 2012 - Apr 2018
Blogger - Diy, Automotive, and Technology
Netapp Feb 2018 - Mar 2018
Contract Technical Writer
Lenovo Oct 1, 2014 - Aug 2017
Staff Documentation Engineer à   Hardware and Software Systems
Education:
Itt Advanced Technology Center (Itt Corporate R&D Center)
Associates, Software Engineering Connecticut School of Electronics
University of Connecticut
Skills:
Technical Communication
Software Documentation
Online Help
Enterprise Software
Agile Methodologies
Framemaker
Technical Writing
Information Architecture
Technical Documentation
Software Development
Content Management
Robohelp
Xml
User Experience
Requirements Analysis
Snagit
Usability Testing
Invention

Publications

Us Patents

Intelligent Test Selection For Machine Failure Isolation Using Qualitative Physics

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US Patent:
53533810, Oct 4, 1994
Filed:
Sep 28, 1993
Appl. No.:
8/128255
Inventors:
Thomas P. Hamilton - South Windsor CT
Kevin J. Perveiler - Monroe CT
Carol E. Jacobsen - Shelton CT
Assignee:
United Technologies Corporation - Hartford CT
International Classification:
G06F 1518
US Classification:
395 10
Abstract:
Variables associated with hypotheses of a qualitative physics model are grouped into type I variables and type II variables, wherein any possible value measured for a type I variable is guaranteed to render at least one hypothesis inconsistent and some, but not all, possible values measured for a type II variable will render at least one hypothesis inconsistent. A test score, indicating the desirability of observing a variable, is calculated for each variable and the type I variable with the highest test score is chosen for observation unless no type I variables have a test score above a predetermined threshold, in which case the type II variable with the highest test score is chosen.

Machine Failure Isolation Using Qualitative Physics

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US Patent:
51877732, Feb 16, 1993
Filed:
Jul 6, 1990
Appl. No.:
7/549515
Inventors:
Thomas P. Hamilton - South Windsor CT
Carol E. Jacobsen - Shelton CT
Kevin J. Perveiler - Monroe CT
Assignee:
United Technologies Corporation - Hartford CT
International Classification:
G06F 1500
US Classification:
395 10
Abstract:
A Qualitative Reasoning System (QRS) performs machine failure isolation by generating a plurality of pending hypotheses which assume the failure of one or more machine components and by testing each of the hypotheses by propagating actual values for machine parameters through confluence equations for the hypothosis being tested. Hypotheses which produce an inconsistent set of predictions are discarded while hypotheses which produce a consistent set of predictions are saved. The hypotheses are generated using a model instance data element which contains a qualitative physics model description of the machine. The machine failure is isolated when all but one hypothesis, which assumes the failure of one or more elementary machine components, remains.
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Kevin J Perveiler from Wake Forest, NC, age ~62 Get Report