The Evaluation of Oxman's Design Case Libraries Through the Potentials of Deep Dream

Year 2023, , 142 - 152, 01.09.2023

Gencay Çubuk

https://doi.org/10.5152/Planarch.2023.23124

Abstract

The aim of the study is to present an approach to how Oxman’s design-based case libraries can be developed through the evaluation of the potential of the Deep Dream algorithm. As the met- hod of the study, the literature review is used and the scope of the study is to evaluate the works of prominent figures and to discuss how design-based case libraries that will use deep learning methods can be carried into the near future. The “subject” and “theme” elements, which are con- sidered as the input layer, are exposed to hybrid intersections through implicit layers and new “form” outputs are obtained. As the findings of the study, while it is expected to obtain a result related to the directly searched and scanned item in the traditional librarianship understanding, a network of relations is reached in the contemporary librarianship approach, which is provided by the hybridization of the “subject” and “theme” elements through implicit layers, by repeatedly matching them with the most relevant elements. This web of relationships can be embodied in an output repository that contains intricate data about how items look and how they are represen- ted. As a result, it seems that collecting conceptual information related to designs and making the associated work ecosystem responsive to the character of design thinking should be the main goal of contemporary design-based case libraries. Strategies to design a support mechanism for libraries of design ideas and to gain a place among the paradigms that assist design will also be the most important supporters of this goal.

Keywords

Architectural design, artificial intelligence, deep learning, design case library

Deep Dream’in Potansiyelleri Üzerinden Oxman’ın Tasarım Tabanlı Vaka Kütüphanelerinin Okunması

Abstract

Çalışmanın amacı, Deep Dream algoritmasının potansiyellerinin değerlendirilmesi yoluyla Oxman’ın tasarım tabanlı vaka kütüphanelerinin nasıl geliştirilebileceğine dair bir yaklaşım sun- maktır. Çalışmanın yöntemi olarak, literatür taraması kullanılmakta ve çalışmanın kapsamını öne çıkan figürlerin çalışmalarının değerlendirilmesi ile derin öğrenme metodlarını kullanacak tasarım tabanlı vaka kütüphanelerinin yakın geleceğe nasıl taşınabileceğine ilişkin tartışma- lar oluşturmaktadır. Giriş katmanı olarak ele alınan “konu” ve “tema” öğeleri, örtük katmanlar yoluyla melez kesişmelere maruz bırakılır ve yeni “biçim” çıktıları elde edilmiş olur. Çalışmanın bulguları olarak, geleneksel kütüphanecilik anlayışında doğrudan aranan ve taranan öğeye iliş- kin bir sonuç elde edilmesi beklenirken, çağdaş kütüphanecilik anlayışında “konu” ve “tema” öğelerinin örtük katmanlar yoluyla defalarca en ilişkili öğelerle eşleştirilmesi yoluyla melez- leştirilmesinin öne çıkmasının sağladığı bir ilişkiler ağına ulaşılır. Bu ilişkiler ağı, öğelerin nasıl göründüğüne ve nasıl temsil edildiğine ilişkin girift veriler içeren bir çıktı havuzuyla somutlaştı rılabilmektedir. Sonuç olarak, tasarımlarla ilişkili kavramsal bilginin toplanması ve ilişkili çalışma ekosisteminin tasarım düşüncesinin karakterine cevap verebilir hale getirilmesinin, çağdaş tasarım tabanlı vaka kütüphanelerinin temel hedefi olması gerektiği görülür. Tasarım fikirlerin- den oluşan kütüphaneler için bir destek mekanizmasının tasarlanmasına ve tasarıma yardımcı olan paradigmalar arasında bir yer edinilmesine yönelik stratejiler de bu hedefin en önemli des- tekleyicileri olacaktır.

Keywords

Mimari tasarım, yapay zeka, derin öğrenme, tasarım tabanlı vaka kütüphanesi

References

• Afsari, M. (2019). Arts and Cultural Center with sustainable architecture design approach (1st ed). LAP LAMBERT Academic Publishing. https://www.perlego.com/book/3398969/arts-and-cultural-center-wit h-sustainable-architecture-design-approach-pdf
• Arslan, H. D., & Ceylan, M. (2012). Judging primary school classroom spaces via ANN model. Gazi University Journal of Science, 25(1), 245–256.
• Arslan, H. D., Ceylan, M., Çınar, K., Dinç Kalaycı, P., & Arslan, M. H. (2011). Mekân Algısı Üzerine Farklı Bir Yaklaşım: Akıllı Sistem Uygulaması. e-journal of New World Sciences Academy, 6(4), 1161–1174.
• Arslan, H. D., Dinç Kalaycı, P., & Çınar, K. (2011). Using the lens model in the analysis of primary classroom settings on the basis of the percep- tions of Turkish students and classroom teachers. WCIT.
• Avermaete, T., & Massey, A. (2013). Hotel lobbies and lounges (1st ed). Tay- lor and Francis. https://www.perlego.com/book/1619353/hotel-lobb ies-and-lounges-the-architecture-of-professional-hospitality-pdf
• Bektaş Ekici, B., Orhan, G., & Yüksel, E. N. (2022). Investigation of the effect of window and shading elements on building energy needs. PLAN- ARCH – Design and Planning Research, 6(2), 40–46. https://dergipa rk.org.tr/tr/pub/planarch/issue/76898/1287360. [CrossRef]
• Brooker, G., & Weinthal, L. (2013). The handbook of interior architecture and design (1st ed). Bloomsbury Publishing. https://www.perlego.com/b ook/816010/the-handbook-of-interior-architecture and-design-pdf
• Coşgun, N. T., Çügen, H. F., & Arslan Selçuk, S. (2021). A bibliometric analy- sis on heritage building information modeling (HBIM) tools. Ata Plan- lama ve Tasarım Dergisi, 5(2), 61–80. [CrossRef]
• Dinç, P. (2009). Gender (in) difference in private offices: A holistic approach for assessing satisfaction and personalizaton. Journal of Environ- mental Psychology, 29(1), 53–62. [CrossRef]
• Dosovitskiy, A., & Brox, T. (2016). Inverting Visual Representations with Convolutional Networks. 2016 IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, NV, 27-30 June 2016, 4829- 4837. [CrossRef]
• Gillen, N. (2019) Future Office. 1st edn. RIBA Publishing. https://www.per lego.com/book/1523054/future-office-nextgeneration-workplace -design-pdf (Accessed: 22 March 2023).
• Harrison, A., & Hutton, L. (2013) Design for the Changing Educational Landscape. 1st edn. Taylor and Francis. https://www.perlego.com/b ook/1616483/design-for-the-changing-educational landscape-sp ace-place-and-the-future-of-learning-pdf (Accessed: 22 March 2023).
• Highfield, D., & Gorse C. (2009). Refurbishment and Upgrading of Build- ings. 2nd edn. CRC Press. https://www.perlego.com/book/1608288/ refurbishment-and-upgrading-of-buildings-pdf (Accessed: 22 March 2023).
• Karahan, F. &Açar, M. (2023). Covid-19 salgını sürecinde kent planlamasında yeşil mimari. PLANARCH - Design and Planning Research, 7(1), 87-95. https://dergipark.org.tr/tr/pub/planarch/issue/76946/1295095
• Keleş Eriçok, A. (2022). Bitlis kent merkezinde geleneksel konut dokusu- nun korunma sorunları. ATA Planlama ve Tasarım Dergisi, 6(1), 1-12. https://dergipark.org.tr/tr/pub/ataplanlamavetasarim/issue/71042/ 1138882
• Kendall, S. H. (Ed.). (2021). Residential Architecture as Infrastructure: Open Building in Practice (1st ed.). Routledge. [CrossRef] s. 12.
• Leontiadis, S. (2015). The Architecture of Public Open Urban Spaces. 1st edn. Edizioni Accademiche Italiane. https://www.perlego.com/book/3 201579/the-architecture-of-public-open-urban spaces-syntax-a nd-representation-pdf (Accessed: 22 March 2023).
• Mahendrab, A., & Vedaldi, A. (2014). Understanding Deep Image Represen- tations by Inverting Them, arXiv:1412.0035v1
• Mordvintsev., A., Olah, C., & Tyka, M. (2015). Inceptionism: Going Deeper into Neural Networks, Google AI Blog https://ai.googleblog.com/ 2015/06/inceptionism-going-deeper-into-neural.html
• Neisser, U. (1967). Cognitive Psychology, Psychology Press, Sulfolk.
• Nguyen, A., Yosinski, J., & Clume, J. (2015). High Confidence Predictions for Unrecognizzable Images, arXiv:1412.1897v4
• Oğan, İ. H., & Erbaş, İ. (2021). Dış cephe kaplama malzemesi olarak mer- merin uygulama yöntemlerinin bir vaka analizi ile değerlendirilmesi. ATA Planlama ve Tasarım Dergisi, 5(2), 81-88. [CrossRef]
• Oxman, R. (2001). The Mind in Design. In book: Design Knowing and Learn- ing: Cognition in Design Education (Eds: Eastman, C.M., McCracken, W.M. and Wendy, C.). 269-295. [CrossRef]
• Oxman R. (2010). Sharing media and knowledge in design pedagogy, Spe- cial Issue Advanced Digital Technologies for Built Environment Edu- cation and Learning. Journal ofInformationTechnologyinConstruction (ITcon), 15, 291-305,
• Oxman, R., & Oxman, R. (1993). PRECEDENTS: memory structure in design case libraries.
• Öztürk Akbıyık, S., & Arslan Selçuk, S. (2023). A bibliometric analysis on climate change and built environments. PLANARCH - Design and Planning Research, 7(1), 96-107. https://dergipark.org.tr/tr/pub/pla narch/issue/76946/1295108
• Sheard, R. (2014). Sports Architecture (1st ed.). Taylor and Francis. https:// www.perlego.com/book/1598175/sports-architecture-pdf
• Simonyan, K., Vedaldi, A., & Zisserman, A. (2014). Deep Inside Convolu- tional Networks: Visualising Image Classification Models and Sali- ency Maps, arXiv:1312.6034v2
• Spratt, E. (2015). Dream Formulations and Deep Neural Networks: Humanistic Themes in the Iconology of the Machine-Learned Image. Kunsttexte.de.
• Sykes, K. A. (2010). Constructing a new agenda: Architectural theory: 1993-2009. New York: Princeton Architectural Press.
• Şanlı, E. & Kavraz, M. (2022). Mimari bağlamda Walt Disney konser binası. PLANARCH - Design and Planning Research, 6(2), 57-67. https:// dergipark.org.tr/tr/pub/planarch/issue/76898/1288187
• Tafuri, M. (1980). Theories and history of architecture. New York, Harper & Row.
• Tang, B., Pan, Z., Yin, K., & Khateeb, A. (2019). Recent advances of deep learning in bioinformatics and computational biology. Front Genet, 10, 214. [CrossRef]
• Verderber, S. (2010). Innovations in Hospital Architecture. 1st edn. Taylor and Francis. https://www.perlego.com/book/1609986/innovations-i n-hospital-architecture-pdf (Accessed: 22 March 2023).
• Verkaaik, O. (2013). Religious Architecture (1st ed.). Amsterdam University Press. https://www.perlego.com/book/1459122/religious-architec ture-anthropological-perspectives-pdf
• Wang, Q., & Ahmad, F. (2022). Advances in Civil Function Structure and Industrial Architecture (1st ed.). CRC Press. https://www.perlego.com/ book/3759765/advances-in-civil-function-structure and-industrial- architecture-proceedings-of-the-5th-international-conference-on- civil-function-structure-and-industrial-architecture-cfsia-2022- harbin-china-2123-january-2022-pdf
• Yıldırım, K., Başkaya (Akalın), A., & Hidayetoğlu, M. L. (2007). Effects of indoor color on mood and cognitive performance. Building and Envi- ronment, 42(9), 3233-3240.
• Zari, M. P., Connolly, P., & Southcombe, M. (2020). Ecologies Design (1st ed.). Taylor and Francis. https://www.perlego.com/book/1584091/ecologies- design-transforming-architecture-landscape-and-urbanism-pdf