A prototype to recognise the drawing elements in construction drawings using artificial intelligence

The issues in two dimensional construction drawings that limit the integration and automation in construction among different phaseses of construction processes are identified. A framework designed in this study to recognise the drawing elements in construction drawing using artificial intelligence...

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Main Authors: Muthuveerappan, Chitrakala, Muhammad, Abdul Hakim, Abdul Majid, Muhd. Zaimi, Minhans, Anil
Format: Article
Published: American Scientific Publishers 2012
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Online Access:http://eprints.utm.my/id/eprint/32773/
http://dx.doi.org/10.1166/asl.2012.3789
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spelling my.utm.327732018-11-30T06:31:20Z http://eprints.utm.my/id/eprint/32773/ A prototype to recognise the drawing elements in construction drawings using artificial intelligence Muthuveerappan, Chitrakala Muhammad, Abdul Hakim Abdul Majid, Muhd. Zaimi Minhans, Anil TA Engineering (General). Civil engineering (General) The issues in two dimensional construction drawings that limit the integration and automation in construction among different phaseses of construction processes are identified. A framework designed in this study to recognise the drawing elements in construction drawing using artificial intelligence is briefly explained. The development of the element recognition prototype following the framework is highlighted. Finally, the performance of the element recognition prototype is tested against a commercial drawings consists thirty one drawing elements are validated. The prototype has successfully recognised. American Scientific Publishers 2012-06 Article PeerReviewed Muthuveerappan, Chitrakala and Muhammad, Abdul Hakim and Abdul Majid, Muhd. Zaimi and Minhans, Anil (2012) A prototype to recognise the drawing elements in construction drawings using artificial intelligence. Advanced Science Letters, 13 (1). pp. 768-769. ISSN 1936-6612 http://dx.doi.org/10.1166/asl.2012.3789 DOI:10.1166/asl.2012.3789
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Muthuveerappan, Chitrakala
Muhammad, Abdul Hakim
Abdul Majid, Muhd. Zaimi
Minhans, Anil
A prototype to recognise the drawing elements in construction drawings using artificial intelligence
description The issues in two dimensional construction drawings that limit the integration and automation in construction among different phaseses of construction processes are identified. A framework designed in this study to recognise the drawing elements in construction drawing using artificial intelligence is briefly explained. The development of the element recognition prototype following the framework is highlighted. Finally, the performance of the element recognition prototype is tested against a commercial drawings consists thirty one drawing elements are validated. The prototype has successfully recognised.
format Article
author Muthuveerappan, Chitrakala
Muhammad, Abdul Hakim
Abdul Majid, Muhd. Zaimi
Minhans, Anil
author_facet Muthuveerappan, Chitrakala
Muhammad, Abdul Hakim
Abdul Majid, Muhd. Zaimi
Minhans, Anil
author_sort Muthuveerappan, Chitrakala
title A prototype to recognise the drawing elements in construction drawings using artificial intelligence
title_short A prototype to recognise the drawing elements in construction drawings using artificial intelligence
title_full A prototype to recognise the drawing elements in construction drawings using artificial intelligence
title_fullStr A prototype to recognise the drawing elements in construction drawings using artificial intelligence
title_full_unstemmed A prototype to recognise the drawing elements in construction drawings using artificial intelligence
title_sort prototype to recognise the drawing elements in construction drawings using artificial intelligence
publisher American Scientific Publishers
publishDate 2012
url http://eprints.utm.my/id/eprint/32773/
http://dx.doi.org/10.1166/asl.2012.3789
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score 13.211869