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	caadria2018_309
id	caadria2018_309
authors	Oprean, Danielle, Verniz, Debora, Zhao, Jiayan, Wallgrün, Jan Oliver, Duarte, José P. and Klippel, Alexander
year	2018
title	Remote Studio Site Experiences: Investigating the Potential to Develop the Immersive Site Visit
doi	https://doi.org/10.52842/conf.caadria.2018.1.421
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 421-430
summary	Immersive technologies are now enabling better and more affordable immersive experiences, offering the opportunity to revisit their use in the architectural and landscape studio to gain site information. Considering when travel to a site is limited or not possible, immersive experiences can help with conveying site information by overcoming issues faced in earlier virtual studios. We focused on developing three applications to understand the workflow for incorporating site information to generate an immersive site experience. The applications were implemented in a semester-long joint architecture and landscape architecture studio focused on remotely designing for the Santa Marta informal settlement in Rio, Brazil. Preliminary results of implementing the applications indicate a positive outlook towards using immersive experiences for site information particularly when a site is remote.
keywords	immersive experience; site visit; virtual reality
series	CAADRIA
email
last changed	2022/06/07 08:00

_id	caadria2018_209
id	caadria2018_209
authors	Yao, Jiawei, Lin, Yuqiong, Zhao, Yao, Yan, Chao, Li, Changlin and Yuan, Philip F.
year	2018
title	Augmented Reality Technology based Wind Environment Visualization
doi	https://doi.org/10.52842/conf.caadria.2018.1.369
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 369-377
summary	Considering the outdoor environment at the initial stage of design process plays a significant role on future building performance. Augmented Reality (AR) technology applied in this research can integrate real world building morphology information and virtual world ventilation information seamlessly that rapidly and directly provides designers information for observation and evaluation. During the case study of "2017 Shanghai DigitalFUTURE" summer workshop, a research on augmented reality technology based wind environment visualization was carried on. The achievement with an application software not only showed the geometric information of the real world objects (such as buildings), but also the virtual wind environment has displayed. Thus, these two kinds of information can complement and superimpose each other. This AR technology based software brings multiple synthetic together, which can (1) visualize the air flow around buildings that provides designers rapid and direct information for evaluation; (2) deal with wind-environment-related data quantitatively and present in an intuitive, easy-to-interpret graphical way; and (3) be further developed as a visualization system based on built-in environments in the future, which contributes to rapid evaluation of a series of programs at the beginning of the building design.
keywords	Environment visualization; Augmented reality technology; Fast response; Outdoor ventilation
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	caadria2018_211
id	caadria2018_211
authors	Zhao, Yao, Guo, Zhe, Yin, Hao, Yao, Jiawei and Yuan, Philip F.
year	2018
title	Behavioral Data Analysis and Visualization System Base on UWB Interior Positioning Technology
doi	https://doi.org/10.52842/conf.caadria.2018.2.217
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 217-226
summary	The behavioral patterns of human in buildings influence the rational setting of space and function dramatically. However, due to the lack of data acquisition methods and data accuracy, big data analysis and visualization research in the microscopic aspects of indoor space is hampered. With the maturity of indoor positioning technology, UWB (Ultra Wideband) positioning technology based on narrow pulse has the characteristics of high transmission rate, low transmit power and strong penetrating ability, which provides more accurate results for the behavior data acquisition in indoor space. In this research, the big data thinking has been introduced into the behavioral performance analysis process. Therefore, data acquisition, data storage and management, behavioral data visualization and machine learning algorithms are integrated into a set of behavioral data analysis and visualization system, to quantitative research the behavioral characteristics of visitors in the exhibition hall by the on-site experiment .
keywords	UWB interior positioning technology; Behavior Data Visualization; on-site experiment
series	CAADRIA
email
last changed	2022/06/07 07:57

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