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_322
id	caadria2018_322
authors	Lu, Hangxin, Gu, Jiaxi, Li, Jin, Lu, Yao, Müller, Johannes, Wei, Wenwen and Schmitt, Gerhard
year	2018
title	Evaluating Urban Design Ideas from Citizens from Crowdsourcing and Participatory Design
doi	https://doi.org/10.52842/conf.caadria.2018.2.297
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. 297-306
summary	Participatory planning aims at engaging multiple stakeholders including citizens in various stages of planning projects. Adopting participatory design approach in the early stage of planning project facilitates the ideation process of citizens. We have implemented a participatory design study during the 2017 Beijing Design Week and have conducted an interactive design project called "Design your perfect Dashilar: You Place it!". Participants including local residents and visitors were asked to redesign the Yangmeizhu street, a historical street located in Dashilar area by rearranging the buildings of residential, commercial, administration, and cultural functionalities. Apart from using digital design tools, questionnaires, interviews, and sensor network were applied to collect personal preferences data. Computational approaches were used to extract features from designs and personal preferences. In this paper, we illustrate the implementation of the participatory design and the possible applications by combining with crowdsourcing. Participatory design data and citizens profiles with personal preferences were analysed and their correlations were computed. By using crowdsourcing and participatory design, this study shows that the digitalization of participatory design with data science perspective can indicate the implicit requirements, needs and design ideas of citizens.
keywords	Participatory design; Crowdsourcing; Human computation; Citizen Design Science; Human Computer Interaction
series	CAADRIA
email
last changed	2022/06/07 07:59

_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	ecaade2017_129
id	ecaade2017_129
authors	Li, Qinying and Teng, Teng
year	2017
title	Integrated Adaptive and Tangible Architecture Design Tool
doi	https://doi.org/10.52842/conf.ecaade.2017.1.619
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 619-628
summary	In this paper, we identified two majority issues of current CAAD development situating from the standpoint of CAAD history and the nature of design. On one hand, current CAAD tools are not adaptive enough for early design stage, since most of CAAD tools are designed to be mathematical correct. as we conducted a detailed survey of CAAD development history, we find out that most of the techniques of Computer-Aided Design applied into architecture are always adopted from engineering track. On other hand, the interaction between Architects/Designer and CAAD tools needs to be enhanced. Design objects are operated by 2d based tools such as keyboard, mouse as well as monitors which are less capable of comprehensively representing physical 3D building objects. In addition, we proposed a working in progress potential solution with HCI approaches to fix these issues. We summarize that , the prototype proved that architects and designers could benefit from utilizing adaptive and tangible design tools, especially during massing studies in the early phases of architectural design.
keywords	CAAD development,; Human Computer Interaction; Tangible User Interfaces; Design Tool development; Design Process
series	eCAADe
email
last changed	2022/06/07 07:59

_id	sigradi2017_077
id	sigradi2017_077
authors	Soto Muñoz, Jaime; Jesús Pulido Arcas, Rodrigo García Alvarado, Gastón Arias Aravena
year	2017
title	La implementación de la Metodología Building Information Modeling (BIM) para edificios existentes en Chile [La implementación de la Metodología Building Information Modeling (BIM) para edificios existentes en Chile]
source	SIGraDi 2017 [Proceedings of the 21th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-227-439-5] Chile, Concepción 22 - 24 November 2017, pp.528-533
summary	BIM technology is currently being implemented in the construction industry, though it is still underdeveloped in relation to Facility Management (FC) of extant buildings. There is a strong potential for future development due to the visualization and data analysis capabilities of this technology, amongst others (Becerik-Gerber, Jazizadeh, Li, & Calis, 2012). This research investigates how BIM can be implemented in existing buildings currently in operation. Using a public facility at the University of Bio-Bio as a case study, conclusions are drawn with respect the capabilities of BIM in order to optimize maintenance and operation of existing buildings.
series	SIGRADI
email
last changed	2021/03/28 19:59

_id	caadria2024_87
id	caadria2024_87
authors	Li, Jiongye and Stouffs, Rudi
year	2024
title	Distribution of Carbon Storage and Potential Strategies to Enhance Carbon Sequestration Capacity in Singapore: A Study Based on Machine Learning Simulation and Geospatial Analysis
doi	https://doi.org/10.52842/conf.caadria.2024.2.089
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 2, pp. 89–98
summary	The expansion of urbanization leads to significant changes in land use, consequently affecting carbon storage. This research aims to investigate the carbon loss due to land use alterations and proposes strategies for mitigation. Utilizing existing land use data from 2017 and 2022, along with simulated data for 2025 generated by an ANN model and Cellular Automata, we identified changes in land use. These changes were then correlated with variations in carbon storage, both gains and losses. Our findings reveal a significant loss of 36,859 metric tons of carbon storage from 2017 to 2022. The projection for 2025 estimates a further reduction, reaching a total loss of 83,409 metric tons. By employing the LISA method, we identified that low-carbon storage zones are concentrated in the southeast region of the research site. By overlaying these zones with areas of carbon storage loss, we pinpointed regions severely affected by carbon depletion. Consequently, we propose that mitigation strategies should be imperatively implemented in these identified areas to counteract the trend of carbon storage loss. This approach offers urban planners a solution to identify areas experiencing carbon storage decline. Moreover, our research methodology provides a novel framework for scholars studying similar carbon issues.
keywords	land use and land cover (LULC) changes, simulated LULC, machine learning model, carbon storage changes, GIS
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	caadria2017_033
id	caadria2017_033
authors	Qu, Tengteng, Zang, Wei, Peng, Zhenwei, Liu, Jun, Li, Weiwei, Zhu, Yun, Zhang, Bin and Wang, Yongsheng
year	2017
title	Construction Site Monitoring Using UAV Oblique Photogrammetry and BIM Technologies
doi	https://doi.org/10.52842/conf.caadria.2017.655
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 655-662
summary	Traditional construction site monitoring primarily relies on a human presence. Automated construction progress monitoring is expected to make this process much more efficient and precise. The planned state of construction (as-planned) must be validated by the actual state (as-built) during automated construction progress monitoring. This research uses an integrated application of high-resolution low-altitude UAV (Unmanned Aerial Vehicle) oblique photogrammetry and Building Information Modeling (BIM) technologies for construction site management. A case study was carried out for a renewable energy development program in the JiaDing District of Shanghai, China. A high-resolution 3D model of the construction site acquired by our multi-motor UAV provides data to illustrate the as-built state of the construction program. Comparison of the UAV-based 3D model (as-built) with the BIM-based 3D model (as-planned) for a specific chimney was used for dynamic construction site monitoring. Our results show 3D illustrations of construction progress. This research demonstrates that the BIM technology in conjunction with the use of UAV photogrammetry provides efficient and precise as-built data collection and illustration of construction progress.
keywords	Oblique Photogrammetry; UAV; 3D modeling; BIM; construction site monitoring
series	CAADRIA
email
last changed	2022/06/07 08:00

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