eprintid: 3355
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/33/55
datestamp: 2023-11-09 15:51:37
lastmod: 2023-11-09 15:51:37
status_changed: 2023-11-09 15:46:38
type: article
metadata_visibility: show
creators_name: Goh, K.N.
creators_name: Mohd. Shukri, S.R.
creators_name: Manao, R.B.H.
title: Automatic assessment for engineering drawing
ispublished: pub
keywords: AutoCad; Automatic assessment; dxf; Engineering drawing; svg, Application programs; Computer aided design; Image processing, Information science
note: cited By 8; Conference of 3rd International Visual Informatics Conference, IVIC 2013 ; Conference Date: 13 November 2013 Through 15 November 2013; Conference Code:100560
abstract: Assessment of student's Engineering Drawing (ED) is always tedious, repetitive and time consuming. Image processing has been the common method to convert ED to be automatically assessed. This method is tedious as algorithms need to be developed for each shape to be assessed. Our research aims to create a software application that is able to perform automatic assessment for AutoCAD Drawing Exchange Format (DXF) files for undergraduate ED course. To achieve this goal, we have explored methods to convert DXF files into SVG format and develop a marking algorithm for the generated SVG files. The result shows that it is feasible to create software that automatically assesses ED without human intervention. Future implementation would include complex real-world ED. © 2013 Springer International Publishing.
date: 2013
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84887074479&doi=10.1007%2f978-3-319-02958-0_45&partnerID=40&md5=5571a919a04099a9961d6f71b89541cf
id_number: 10.1007/978-3-319-02958-0₄₅
full_text_status: none
publication: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
volume: 8237 L
place_of_pub: Selangor
pagerange: 497-507
refereed: TRUE
isbn: 9783319029573
issn: 03029743
citation:   Goh, K.N. and Mohd. Shukri, S.R. and Manao, R.B.H.  (2013) Automatic assessment for engineering drawing.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8237 L.  pp. 497-507.  ISSN 03029743