Skip to content
Free planNo credit card requiredStart writing
AI for Research home
AI for Research home
Dashboard
Sign inGet started

book chapter · ACS symposium series · 1987

Integration of Technical Drawings in a Data Bank System

Walter Niedermeyr

Cited by 0Abstract and details only

Abstract

Technical drawings are indispensable data in presenting, explaining, and transferring technical and scientific information. Patent applications and utility models are a field in which the illustrative and explanatory function of drawings is particularly important. This paper describes the joint storage of text and drawings in one database, the conversion of digitized graphical data into vector graphics output format and the combined transmission of text and graphics via telecommunication networks to various types of terminals. The advantages of vector graphics over raster graphics for storing, transmitting and displaying technical drawings are discussed.

Cite this paper

APA 7

Niedermeyr, W. (1987). Integration of Technical Drawings in a Data Bank System. ACS symposium series, 143–153. https://doi.org/10.1021/bk-1987-0341.ch013

MLA 9

Niedermeyr, Walter. “Integration of Technical Drawings in a Data Bank System.” ACS symposium series, 1987, pp. 143–53, https://doi.org/10.1021/bk-1987-0341.ch013.

Chicago

Niedermeyr, Walter. 1987. “Integration of Technical Drawings in a Data Bank System.” ACS symposium series: 143–53. https://doi.org/10.1021/bk-1987-0341.ch013.

Harvard

Niedermeyr, W. (1987) ‘Integration of Technical Drawings in a Data Bank System’, ACS symposium series, pp. 143–153. Available at: https://doi.org/10.1021/bk-1987-0341.ch013.

BibTeX
@incollection{niedermeyr1987integration,
  title = {{Integration of Technical Drawings in a Data Bank System}},
  author = {Niedermeyr, Walter},
  booktitle = {ACS symposium series},
  pages = {143--153},
  year = {1987},
  doi = {10.1021/bk-1987-0341.ch013}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.

Related papers