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Wayne Wohler Phones & Addresses

  • 658 S Sherman St, Denver, CO 80209
  • Norcatur, KS
  • 1009 6Th St, Longmont, CO 80501 (303) 485-9391
  • 663 Crawford Cir, Longmont, CO 80501 (303) 651-3791
  • 546 Atwood St, Longmont, CO 80501 (303) 485-9391
  • Boulder, CO

Work

Company: University of colorado denver Aug 2015 Position: Graduate student

Education

School / High School: University of Colorado Denver 2016 to 2018 Specialities: Economics

Skills

Enterprise Architecture • Solution Architecture • Soa • Integration • Websphere • It Strategy • Requirements Analysis • Cloud Computing • Java Enterprise Edition • Websphere Application Server • Application Architecture • Software Development • Db2 • Enterprise Content Management • Enterprise Software • Eclipse • Business Analysis • Business Intelligence • Agile Methodologies • Sdlc • Web Services • Middleware • Software Project Management • Aix • Filenet • Java • Eai • Esb • Websphere Portal • Jsp • Architectures • Service Oriented Architecture • Unix • Xml • Tomcat • System Architecture • Weblogic • Agile Project Management • Architecture

Languages

English

Industries

Information Technology And Services

Resumes

Resumes

Wayne Wohler Photo 1

Wayne Wohler

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Location:
658 south Sherman St, Denver, CO 80203
Industry:
Information Technology And Services
Work:
University of Colorado Denver
Graduate Student

Ibm 1982 - Dec 2013
Senior I and T Architect

Ibm Jun 1977 - 1982
Electrical Engineer
Education:
University of Colorado Denver 2016 - 2018
University of Idaho 1973 - 1977
Bachelors, Bachelor of Science, Electrical Engineering, Computer Science
Skills:
Enterprise Architecture
Solution Architecture
Soa
Integration
Websphere
It Strategy
Requirements Analysis
Cloud Computing
Java Enterprise Edition
Websphere Application Server
Application Architecture
Software Development
Db2
Enterprise Content Management
Enterprise Software
Eclipse
Business Analysis
Business Intelligence
Agile Methodologies
Sdlc
Web Services
Middleware
Software Project Management
Aix
Filenet
Java
Eai
Esb
Websphere Portal
Jsp
Architectures
Service Oriented Architecture
Unix
Xml
Tomcat
System Architecture
Weblogic
Agile Project Management
Architecture
Languages:
English

Publications

Us Patents

Facsimile Data Reduction

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US Patent:
44633866, Jul 31, 1984
Filed:
May 3, 1982
Appl. No.:
6/373937
Inventors:
Robert D. Goddard - Boulder CO
Robert R. Schomburg - Boulder CO
Wayne L. Wohler - Longmont CO
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
H04N 141
US Classification:
358261
Abstract:
Facsimile or other data to be reduced is scanned and segmented into blocks of isolated figures. The figures are compared to stored templates. If no match is found, the figure remains in place. If a match is found, the figure is erased, i. e. , the block is reduced to white. When recognized figures have been erased, the residual image is transmitted using an efficient known two-dimensional encoding compression technique. The locations of figures are specified by inserting identifying data in the data stream at a point corresponding a point on the figure, the preferred point being the lower right-hand corner. If not a recognized template, the receiving end can extract the figure constructed from the data stream and store it in its template memory. If a figure is a recognized template, it is extracted from the receiving end's template memory using the identifying data and inserted into the reconstructed residual image.

Algorithm For The Segmentation Of Printed Fixed Pitch Documents

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US Patent:
43778038, Mar 22, 1983
Filed:
Jul 2, 1980
Appl. No.:
6/165879
Inventors:
Jeffrey B. Lotspiech - Boulder CO
Wayne L. Wohler - Longmont CO
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06K 934
US Classification:
382 9
Abstract:
An apparatus and method is provided for segmenting characters generated by an optical scanner. The apparatus also identifies underscores. The underscores are then masked and subsequent processing devices are informed of the existence of said underscores. Input video raster scans representative of a portion of a line of textual material are loaded into a video buffer. The video raster scans are broken up into a plurality of sections. The horizontal histogram (number of black pixel counts) associated with each section is determined. The baseline, vertical histogram and word location for each line of data to be segmented is determined. A find character unit finds the boundaries for each character. The character is sequentially transferred from the video buffer to a character output buffer.
Wayne L Wohler from Denver, CO, age ~68 Get Report