Computer-Assisted Data Acceptance (CADA).

Abstract

Data Acceptance (DA) is defined as the means by which the Government officially accepts product or technical publication data from a contractor, based on the quality of the data. Quality is defined, for CALS engineering drawing data, as the clarity and fidelity of digital representation. The clarity and fidelity must be such that, when the data are retrieved from or reproduced at the repository, the user can read, interpret, and measure objects depicted in the drawing image area and clearly interpret the key identification data (ID) within the title block or tabular fields of the engineering drawing. Computer-Assisted Data Acceptance (CADA) has been defined as the unattended, objective, and uniform quality evaluation of contractor- delivered CALS raster data. Previous tests have been conducted which evaluate the effectiveness of the individual and combined CADA image algorithms in the acceptance of raster image data as well as the recognition accuracy of various OCR and ICR vendor products. This report presents the component response times and system throughput performance of the CADA tools when tested on a Sun-based platform and a PC-based platform. Testing contractor provided CALS raster data will provide additional system response and accuracy performance results which will be documented in Computer-Assisted Data Acceptance (CADA) Contractor Data Test Report, due to be delivered December 18, 1992.

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Document Details

Document Type
Technical Report
Publication Date
Nov 09, 1992
Accession Number
ADA312451

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Commercial Equipment
  • Computers
  • Contractors
  • Engineering
  • Engineering Drawings
  • High Resolution
  • Identification
  • Information Systems
  • Low Resolution
  • Magnetic Tape
  • New Jersey
  • Performance Tests
  • Personal Computers
  • Recognition
  • Test And Evaluation

Readers

  • Computer Science.
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Computer Vision.