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Produktbild: Advances in Engineering Data Handling

Advances in Engineering Data Handling Case Studies

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Beschreibung

To understand what we know and be aware of what is to be known has become the central focus in the treatment of engineering data handling issues. It has been some time since we began treating issues arriving from engineering data handling in a low key fashion because of its housekeeping chores and data...

Beschreibung

To understand what we know and be aware of what is to be known has become the central focus in the treatment of engineering data handling issues. It has been some time since we began treating issues arriving from engineering data handling in a low key fashion because of its housekeeping chores and data maintenance aspects representing nonglamorous issues related to automation. Since the advent of CAD/CAM, large numbers of data bases have been generated through stand alone CAD systems and the rate of this automated means of generating data is rapidly increasing. This possibly is the key factor in changing our way of looking at engineering data related problems. This volume contains some of the papers, including revisions, which were presented at the fourth Automation Technology conference held in Monterey, California. This volume represents ATI's efforts to bring forth some of the important case studies related to engineering data handling from the user's point of view. Because of its potential enormous impact on management and productivity advancement, careful documentation and coordination for outstanding contributions to this area are of utmost importance. This volume may serve as a precursor to additional volumes in the area of engineering data handling and CAD/CAM related user studies. Anyone with comments or suggestions, as well as potential contributors, to this series, is encouraged to contact the editorial board of AT!.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.10.2011

Abbildungen

X, 296 p.

Herausgeber P.C.C. Wang

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.10.2011

Abbildungen

X, 296 p.

Herausgeber P.C.C. Wang
Verlag Springer Us
Seitenzahl

296

Maße (L/B/H)

26/19.5/1.7 cm

Gewicht

654 g

Auflage

Softcover reprint of the original 1st ed. 1984

Sprache

Englisch

ISBN

978-1-4612-9782-6

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Advances in Engineering Data Handling
  • 1. Digital Document Management System Using Optical Disk Mass Storage.- 2. Computer Aided Technical Documentation Management.- 3. Applications of Computer Guided Pen Plotters.- 4. Automated Data Capture.- 5. Automated Document Management Systems Applications.- 6. CAD/CAM from the Graphic Design Perspective.- 7. Navy Automated Video Information System (NAVIS).- 8. The Centralized Management and Automation of the DoD Technical Data Program.- 9. Procuring CAEDOS: Ordinary or Innovative.- 10. Rapid Display of Compacted Map Data Sets on-Board Aircraft.- 11. An Interactive Data Editing Program for Material Behavior Data.- 12. Computer-Aided Editing—Present and Future.- 13. Applying Optical Mass Memory to the Storage of Engineering Drawings and Data.- 14. Progressive Transmission of Remotely Sensed Images.- 15. Parts Lists Derived from Digitized Mechanical Drawings.- 16. Computers and Engineering Drawings—The Present and Future.- 17. The Missing Link in Mechanical CAD Systems.- 18. DoD Standardization of Engineering Data Systems and Air Force Automation Plans.- 19. Advanced Computer Aided Design Techniques Utilized in the NAVSEA Combat System Switchboard Program.- 20. Application of Optical Disk Data Storage in Information Systems.- 21. Managing an Evolving Data Management System.- 22. Transaction Management in Engineering Databases.- 23. Integration of Micrographics and CAD in Medium Size Design Engineering Organizations to Achieve Optimum Productivity.- 24. Optical Laser Disk Storage for Technical Information Control and Distribution.- 25. GDL: A High Level, Access-Path Oriented Language.- 26. Engineering Data Management through a Relational Database Management System.