relation: https://khub.utp.edu.my/scholars/3355/
title: Automatic assessment for engineering drawing
creator: Goh, K.N.
creator: Mohd. Shukri, S.R.
creator: Manao, R.B.H.
description: 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
type: Article
type: PeerReviewed
identifier:   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     
relation: 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
relation: 10.1007/978-3-319-02958-0₄₅
identifier: 10.1007/978-3-319-02958-0₄₅