Applying Multimedia to the MK 92 Mod 2 Maintenance Advisor Expert System.

Abstract

This thesis is part of a software project to develop a diagnostic expert system for the MK 92 Mod 2 fire control system (FCS) daily system operability test (DSOT). The focus of this work examines the feasibility of applying multimedia, in the form of graphics, digital video, sound and CD-ROM technology, to the MK 92 Mod 2 Maintenance Advisor Expert System (MAES). The MAES application is intended for distribution to fleet sailors in order to increase readiness of the MK 92 Mod 2 FCS and decrease the need for outside technical assistance The MAES application is intended for distribution to the fleet on portable computers. In its current form, the MAES includes only text-based procedures and instructions to aid the user. This study examines whether it is technically feasible to employ high-resolution images, digital video, and sound to enhance the MAES and add impact to the current text outputs. Additionally, it explores the costs associated with each media. Given that the MAES will operate on a portable computer, the study also examines the limitations a portable environment places on multimedia technologies. Finally, this study recommends specific instances of incorporating multimedia in future implementations of the MAES.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1994
Accession Number
ADA288875

Entities

People

  • Paul J. Meisch

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Application Software
  • Cameras
  • Computer Programming
  • Computer Programs
  • Computers
  • Control Systems
  • Digital Video
  • Expert Systems
  • Fire Control Systems
  • Graphics
  • High Resolution
  • Information Systems
  • Laptop Computers
  • Maintenance
  • Media
  • Operating Systems
  • Personal Computers

Fields of Study

  • Computer science

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Fire Suppression Systems Design.
  • Life Cycle Cost Analysis