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Walter J Petlevich

from Irwin, PA
Age ~72
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Also known as:
Walter Cheryle Petlevich, Jr Walter Petlevich
Phone and address:
713 Rembrandt Cir, North Huntingdon, PA 15642
(724) 515-5392
Related to:
Katie Ramler
Connected to:
Margaret P Petlicka, 99Susan F Petlik, 75Roseann P Petlikowski, 81Erin M Petlock, 48Dennis B Petlovany, 77Siva Petluru, 48Dolores E Petmecky, 88Heidi M Petmecky, 39Mary G Petnel, 66Sarah R Petner, 39

Walter Petlevich Phones & Addresses

  • 713 Rembrandt Cir, Irwin, PA 15642 (724) 515-5392
  • Fredericksburg, PA
  • 201 Hague St, Uniontown, PA 15401 (724) 439-1982
  • Jeannette, PA
  • Hanover, MD
  • Lebanon, PA

Interests

career opportunities, consulting offers,...

Industries

Computer & Network Security

Resumes

Resumes

Walter Petlevich Photo 1

Facility Security Officer / Information Systems Security Manager, Systems Engineer At General Dynamics Robotic Systems

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Location:
Greater Pittsburgh Area
Industry:
Computer & Network Security
Experience:
General Dynamics Robotic Systems (Public Company; GD; Defense & Space industry): Facility Security Officer / Information Systems Security Manager, Systems Engineer,  (December 2005-Present) Facility Security Officer, IT systems administration, Facility coordinator, Program su...

Publications

Us Patents

Method For Automatically Identifying Targets In Sonar Images

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US Patent:
51812541, Jan 19, 1993
Filed:
Dec 14, 1990
Appl. No.:
7/628116
Inventors:
Philipp F. Schweizer - Monroeville PA
Walter J. Petlevich - Uniontown PA
Assignee:
Westinghouse Electric Corp. - Pittsburgh PA
International Classification:
G06K 900
H04N 531
H04B 1100
US Classification:
382 1
Abstract:
To detect and classify features in a sonar image comprised of a matrix of pixels each pixel having a known greyness level a set of windows is defined such that each window is comprised of a set of adjacent pixels such that every pixel of the image is included in at least one window. Properties of the greyness level for the pixels in each window are defined to enable selection of those windows having specific features of greyness level in excess of a predetermined threshold. Matched filter correlations are performed on the pixels in the selected windows to identify highlights and shadows. The identifying highlights and shadows are classified as targets, anomalies or background.

Doppler Radar Flowmeter

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US Patent:
40913856, May 23, 1978
Filed:
Nov 24, 1976
Appl. No.:
5/744495
Inventors:
Walter J. Petlevich - Uniontown PA
Edward F. Sverdrup - Adamsburg PA
Assignee:
The United States of America as represented by the United States
Department of Energy - Washington DC
International Classification:
G01S 944
US Classification:
343 8
Abstract:
A Doppler radar flowmeter comprises a transceiver which produces an audio frequency output related to the Doppler shift in frequency between radio waves backscattered from particulate matter carried in a fluid and the radiated radio waves. A variable gain amplifier and low pass filter are provided for amplifying and filtering the transceiver output. A frequency counter having a variable triggering level is also provided to determine the magnitude of the Doppler shift. A calibration method is disclosed wherein the amplifier gain and frequency counter trigger level are adjusted to achieve plateaus in the output of the frequency counter and thereby allow calibration without the necessity of being able to visually observe the flow.

Method And Apparatus For Automatically Identifying Targets In Sonar Images

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US Patent:
52147444, May 25, 1993
Filed:
Dec 14, 1990
Appl. No.:
7/628115
Inventors:
Philipp F. Schweizer - Monroeville PA
Walter J. Petlevich - Uniontown PA
Assignee:
Westinghouse Electric Corp. - Pittsburgh PA
International Classification:
G06F 1518
G06K 962
US Classification:
395 21
Abstract:
A method and apparatus for automatically identifying targets in sonar images utilizes three processing systems which preferably operate simultaneously. After the image has been filtered and Fourier transformed, a highlight-shadow detector classifies portions of the image as a highlight, a shadow or background according to greyness levels of pixels in such portions. A statistical cuer selects those portions which have been classified as a highlight or a shadow. A neural network then classifies the sets of highlight and shadow reports as targets or background.

Method And Apparatus For Classifying Objects In Sonar Images

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US Patent:
56129289, Mar 18, 1997
Filed:
May 28, 1992
Appl. No.:
7/847512
Inventors:
Paul H. Haley - Monroeville PA
James J. Oravec - Plum Boro PA
Walter J. Petlevich - Uniontown PA
Philipp F. Schweizer - Monroeville PA
Assignee:
Northrop Grumman Corporation - Los Angeles CA
International Classification:
G06K 900
US Classification:
367 11
Abstract:
A method and apparatus for classifying objects in images utilize means for selecting portions of those images which contain objects and means for classifying those objects based upon parameters of the selected portions, which parameters are useful for classifying the objects. The selecting means preferably is a shadow and highlight detector, a statistical window detector and a neural network window detector whose output is combined in a combined cuer. The parameters are determined from the greylevels and positions of pixels using one or more modules which perform certain mathematical operations on this data. Such parameters include edge parameters, smoothness, clutter, presence and characteristics of highlights and shadows, and texture. The invention is particularly useful for classifying objects in sonar images as natural or man-made.
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Walter J Petlevich from Irwin, PA, age ~72 Get Report