| id |
caadria2021_043 |
| authors |
Ng, Provides |
| year |
2021 |
| title |
21E8: Coupling Generative Adversarial Neural Networks (GANS) with Blockchain Applications in Building Information Modelling (BIM) Systems |
| doi |
https://doi.org/10.52842/conf.caadria.2021.2.111
|
| source |
A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 111-120 |
| summary |
The ability of GANs to synthesize large sets of data is ideal for coupling with BIM to formulate a multi-access system that enables users to search and browse through a spectrum of articulated options, all personalised to design specificity - an 'Architecture Machine'. Nonetheless, due to challenges in proprietary incompatibility, BIM systems currently lack a secured yet transparent way of freely integrating with crowdsourced efforts. This research proposes to employ blockchain as a means to couple GANs and BIM, with e8 networking topology to facilitate communication and distribution. It consists of a literature review and a design research that proposes a tech stack design and UML (unified modeling language) use cases, and presents preliminary design results obtained using GANs and e8. |
| keywords |
21e8; GANs; Blockchain; BIM; Architecture Machine |
| series |
CAADRIA |
| email |
provides.ng.19@ucl.ac.uk |
| full text |
 file.pdf (25,995,396 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:58 |
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