| id |
ecaade2022_44 |
| authors |
Güzelci, Orkan Zeynel |
| year |
2022 |
| title |
Machine Learning in Predicting Section Drawings - Case of Anatolian Seljuk Kümbets |
| doi |
https://doi.org/10.52842/conf.ecaade.2022.2.169
|
| source |
Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 169176 |
| summary |
Funerary structures called kümbet emerged as a unique typology during the Anatolian Seljuk period (1077-1307). This study introduces a machine learning (ML) based model to predict sections of kümbets to complete their missing parts. The proposed ML-based model employs the Pix2Pix method, which is a subset of conditional Generative Adversarial Networks (cGAN).The model is trained over a coupled dataset (interior space and exterior shell) of section drawings. Then, the model is validated by predicting overall shape (exterior shell) for a given input (interior space). The outcomes of the validation phase are evaluated objectively by using structural similarity method (SSIM). Initial findings of the implementation show that the proposed ML-based model has the potential to be used as a design decision support tool for further restitution and renovation works. |
| keywords |
Anatolian Seljuk Architecture, Kümbet, Pix2Pix, Machine Learning, Section |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (1,399,672 bytes) |
| references |
Content-type: text/plain
|
Alani, M. and Al-Kaseem, B. (2021)
 Fill in the Blanks: Deep Convolutional Generative Adversarial Networks to Investigate the Virtual Design Space of Historical Islamic Patterns in Proceedings of the 9th ASCAAD Conference
, Cairo, Egypt [Virtual Conference], pp. 614-621. Available at: http://papers.cumincad.org/data/works/att/ascaad2021_093.pdf (Accessed 6 March 2022)
|
|
|
|
|
Altinsapan, E. (1997)
The Turkish art at the middle age in Eskişehir and its surround (architecture in 11 th-15 th centuries)
, Doctoral Dissertation, Hacettepe University, Ankara
|
|
|
|
|
Arik, M.O. (1967)
Türbe Forms in Early Anatolian - Turkish Architecture
, Anadolu (Anatolia), XI, pp. 57-100. Available at: https://doi.org/10.1501/andl_0000000095 (Accessed 6 March 2022)
|
|
|
|
|
Dogru, M., Büyüksaraç, A., Aksoy, E., Karahan, R., Yakar, M., Ekinci, Y.L., Demirci, A., Ulvi, A., and Toprak, A.S. (2017)
Researching World Heritage Ahlat Seljuq Cemetery and Cupolas via Lidar and Geophysical Methods, Surface and Subsurface Structure Modelling
, Uluslararasi Türkçe Edebiyat Kültür Egitim Dergisi, 6(1), pp. 17-42. Available at: https://dergipark.org.tr/en/download/article-file/284274 (Accessed 6 March 2022)
|
|
|
|
|
Grilli, E. and Remondino, F. (2020)
Machine learning generalisation across different 3D architectural heritage
, ISPRS International Journal of Geo-Information, 9(6), pp. 379. Available at: https://doi.org/10.3390/ijgi9060379 (Accessed 6 March 2022)
|
|
|
|
|
Kindigili, M.L. (2019)
Mausoleums in Kemah
, Atatürk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 23(Special Issue), pp. 2169-2192. Available at: https://dergipark.org.tr/en/download/article-file/927461 (Accessed 6 March 2022)
|
|
|
|
|
Kuleli, A.E. (2018)
A Study on the Architectural Features and Conservation Problems of the Tomb of Emir Bayindir in Ahlat
, Restorasyon-Konservasyon-Arkeoloji ve Sanat Tarihi Yilligi, 17, pp. 6-23
|
|
|
|
|
Kuran, A. (2018)
Architecture in Turkey from the Seljuks to the Republic
, Istanbul: Türkiye Iş Bankasi Kültür Yayinlari
|
|
|
|
|
Mesanza-Moraza, A., García-Gómez, I. and Azkarate, A. (2020)
Machine learning for the built heritage archaeological study
, Journal on Computing and Cultural Heritage (JOCCH), 14(1), pp. 1-21. Available at: https://doi.org/10.1145/3422993 (Accessed 6 March 2022)
|
|
|
|
|
Parla, C. (2010)
The Iconographic Approach to the Mengucek Gazi Tomb in Kemah
, Erdem, 58, pp. 269-290. Available at: https://erdem.gov.tr/tam-metin-pdf/188/tur (Accessed 6 March 2022)
|
|
|
|
|
Stiny, G. and Mitchell, W.J. (1978)
The palladian grammar
, Environment and Planning B: Planning and Design, 5(1), pp.5-18. Available at: https://doi.org/10.1068/b050005 (Accessed 6 March 2022)
|
|
|
|
|
Varinlioglu, G. and Balaban, Ö. (2021)
Artificial intelligence in architectural heritage research: Simulating networks of caravanserais through machine learning
, As, I. and Basu, P. (eds.) The Routledge Companion to Artificial IntelligenceArchitecture, London: Routledge, pp. 207-223
|
|
|
|
|
Wang, Z., Bovik, A. C., Sheikh, H. R., and Simoncelli, E. P. (2004)
Image quality assessment: from error visibility to structural similarity
, IEEE Transactions on Image Processing, 13(4), pp. 600-612. Available at: https://doi.org/10.1109/TIP.2003.819861 (Accessed 6 March 2022)
|
|
|
|
|
Wutte, A., and Duarte, J.P. (2021)
Shape Grammar as a Typology Defining Tool for Ancient Egyptian Funerary Monuments
, Nexus Network Journal, 23(2), pp. 319-336. Available at: https://doi.org/10.1007/s00004-020-00543-8 (Accessed 6 March 2022)
|
|
|
|
|
Şener, S.M. and Görgül, E. (2008)
A shape grammar algorithm and educational software to analyze classic Ottoman mosques
, A|Z ITU Journal of the Faculty of Architecture, 5(1), pp.12-30. Available at: https://www.az.itu.edu.tr/downloads/papers/vol05-01/pdf/04senergorgul%2005%2001.pdf (Accessed 6 March 2022)
|
|
|
|
|
Çagdaş, G. (1996)
A shape grammar: the language of traditional Turkish houses
, Environment and Planning B: Planning and Design, 23(4), pp. 443-464. Available at: https://doi.org/10.1068/b230443 (Accessed 6 March 2022)
|
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| last changed |
2024/04/22 07:10 |
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