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Exploring the Linguistic Model to Operate on Architectural Façade Illumination Design
Designers utilize the compositions to express their feelings and thoughts. However, it is difficult to have corresponding command of design theory for people in different fields. For architects, it is not common to both have the experience in construction design and illumination design. In this research, we aim to be able to effectively express design through verbal manipulation, consider the relationship between architectural façade lighting design parameters and words, pursue the possibility of becoming a tool for design support and manipulate the façade lighting by language. After creating an abstract 3D lighting model, we have explored a design system for linguistic manipulation using an autoencoder and a neural network and have examined the practicability of the model.
Exploring the Linguistic Model to Operate on Architectural Façade Illumination Design
Designers utilize the compositions to express their feelings and thoughts. However, it is difficult to have corresponding command of design theory for people in different fields. For architects, it is not common to both have the experience in construction design and illumination design. In this research, we aim to be able to effectively express design through verbal manipulation, consider the relationship between architectural façade lighting design parameters and words, pursue the possibility of becoming a tool for design support and manipulate the façade lighting by language. After creating an abstract 3D lighting model, we have explored a design system for linguistic manipulation using an autoencoder and a neural network and have examined the practicability of the model.
Exploring the Linguistic Model to Operate on Architectural Façade Illumination Design
Advs in Intelligent Syst., Computing
Naik, Nitin (Herausgeber:in) / Jenkins, Paul (Herausgeber:in) / Grace, Paul (Herausgeber:in) / Yang, Longzhi (Herausgeber:in) / Prajapat, Shaligram (Herausgeber:in) / Liu, Yanting (Autor:in) / Li, Fangyi (Autor:in)
UK Workshop on Computational Intelligence ; 2023 ; Birmingham, United Kingdom
01.02.2024
11 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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