Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	ecaade2015_55
id	ecaade2015_55
authors	Chen, KianWee; Janssen, Patrick and Schlueter, Arno
year	2015
title	Analysing Populations of Design Variants Using Clustering and Archetypal Analysis
doi	https://doi.org/10.52842/conf.ecaade.2015.1.251
source	Martens, B, Wurzer, G, Grasl T, Lorenz, WE and Schaffranek, R (eds.), Real Time - Proceedings of the 33rd eCAADe Conference - Volume 1, Vienna University of Technology, Vienna, Austria, 16-18 September 2015, pp. 251-260
summary	In order to support exploration in the early stages of the design process, researchers have proposed the use of population-based multi-objective optimisation algorithms. This paper focuses on analysing the resulting population of design variants in order to gain insights into the relationship between architectural features and design performance. The proposed analysis method uses a combination of k-means clustering and Archetypal Analysis in order to partition the population of design variants into clusters and then to extract exemplars for each cluster. The results of the analysis are then visualised as a set of charts and as design models. A demonstration of the method is presented that explores how self-shading geometry, envelope materials, and window area affect the overall performance of a simplified building type. The demonstration shows that although it is possible to derive general knowledge linking architectural features to design performance, the process is still not straightforward. The paper ends with a discussion on how the method can be further improved.
wos	WOS:000372317300027
series	eCAADe
email
more	https://mh-engage.ltcc.tuwien.ac.at/engage/ui/watch.html?id=09a711e6-70f5-11e5-af69-2b8082624d42
last changed	2022/06/07 07:55

_id	caadria2015_170
id	caadria2015_170
authors	Chen, Yu Chen and Chao-Ming Wang
year	2015
title	The Research of Human-Computer Interaction by Combining Affective Computing into Chinese Calligraphy Art
doi	https://doi.org/10.52842/conf.caadria.2015.055
source	Emerging Experience in Past, Present and Future of Digital Architecture, Proceedings of the 20th International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA 2015) / Daegu 20-22 May 2015, pp. 55-64
summary	Calligraphy is one of the important cultures in Chinese world. The rich strokes, structures and forms make the Chinese calligraphy an art. As the writing script is closely correlated to the emotions of the writer, a lot of scholars explore the correlation between the Chinese calligraphy lines and affect from the perspectives of psychology and art. In this study, it introduces the affective-computing technology and combines the digital media from the perspective of Chinese calligraphy and emotions, to develop an interactive calligraphy-art device. It re-interprets the Chinese calligraphy art with the digital tool and installs the pulse sensor and pressure sensor in the Chinese pen brush, so as to detect the user’s pulse and writing power. Moreover, it converts the physiological signals into affect and provides visual feedback in real time, which includes the changes and motions of the Chinese calligraphy lines. The study proposes contacting the traditional Chinese calligraphy with a new human-computer interaction mode. With the visual feedback effect during the interaction, it allows the user to know the close correlation between the Chinese calligraphy and the emotions. Through the work, the Chinese calligraphy art can be carried forward.
keywords	Chinese Calligraphy Art; Human-Computer Interaction; Affective Computing.
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	caadria2015_194
id	caadria2015_194
authors	Lu, Chi-Ming; Jia-Yih Chen, Cheng-An Pan and Taysheng Jeng
year	2015
title	A BIM Tool for Carbon Footprint Assessment of Building Design
doi	https://doi.org/10.52842/conf.caadria.2015.447
source	Emerging Experience in Past, Present and Future of Digital Architecture, Proceedings of the 20th International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA 2015) / Daegu 20-22 May 2015, pp. 447-456
summary	The objective of this research is to develop a tool for assessing carbon footprints of a building in the design process using BIM technology. Life cycle assessment and carbon footprint assessment are the two basic criteria in evaluating the emission reduction of CO2e.International assessment standards have been established for mass-produced merchandise and organizational operations. However, the existing standards cannot directly disclose the hotspots of carbon footprints in the building life cycle. An assessment method concerning local climate, living culture, ecology and local construction style is required for building design. This research work presents a framework by which a BIM-enabled data visualization tool is developed to support the carbon disclosure in the building design process.
keywords	Carbon Footprint Assessment; BIM; BCF.
series	CAADRIA
email
last changed	2022/06/07 07:59

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