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	caadria2021_038
id	caadria2021_038
authors	Chen, Jielin and Stouffs, Rudi
year	2021
title	From Exploration to Interpretation - Adopting Deep Representation Learning Models to Latent Space Interpretation of Architectural Design Alternatives
doi	https://doi.org/10.52842/conf.caadria.2021.1.131
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 131-140
summary	An informative interpretation of the hyper-dimensional design solution space can potentially enhance the cognitive capacity of designers with respect to both conventional design practice and the research domain of computational-aided generative design. However, the hitherto research of design space exploration has had limited focus on the interpretation of the hyper solution space per se due to the knowledge gap pertaining to representation and generation. Representation learning techniques, as a core paradigm in the statistically empowered domain of machine learning, possess the capability of extracting a convoluted probabilistic distribution of hyperspace with latent features from unorganized data sources in a generalized manner, which can be an intuitive modus operandi for a structural interpretation of the intricate latent design solution space and benefit the challenging task of architectural design exploration. We examine and demonstrate the potential capabilities of representation learning techniques for the interpretation of latent architectural design solution space with consideration of disentanglement and diversity.
keywords	Design space exploration; latent space interpretation; representation learning; deep generative modelling; generative architectural design
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	caadria2021_039
id	caadria2021_039
authors	Chen, Jielin, Stouffs, Rudi and Biljecki, Filip
year	2021
title	Hierarchical (multi-label) architectural image recognition and classification
doi	https://doi.org/10.52842/conf.caadria.2021.1.161
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 161-170
summary	The task of architectural image recognition for both architectural functionality and style remains an open challenge. In addition, the paucity of well-organized, large-scale architectural image datasets with specific consideration for the domain of architectural design research has hindered the exploration of these challenging tasks. Drawing upon images from the professional architectural website ArchdailyÂ®, and leveraging state-of-the-art deep-learning-based classification models, we explore a hierarchical multi-label classification model as a potential baseline for the task of architectural image classification. The resulting model showcases the potential for innovative architectural discipline-related analyses and demonstrates some heuristic insights for visual feature extraction pertaining to both architectural functionality and architectural style.
keywords	image recognition; hierarchical classification; multi-label classification; architectural functionality; style
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	caadria2021_115
id	caadria2021_115
authors	Chen, Qin Chuan, Lakshmi Narasimhan, Vaishnavi and Lee, Hyunsoo
year	2021
title	The potential of IoT-based smart environment in reaction to COVID-19 pandemic
doi	https://doi.org/10.52842/conf.caadria.2021.2.709
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. 709-718
summary	COVID-19 was first reported in late December 2019 and quickly become a global health crisis. In the COVID-19 pandemic context, the dense and open characteristics make the public spaces a potential virus transmission hotspot. Therefore, it is extremely critical to adopt a more advanced and effective method in public environments to slow down its spread until a vaccine is widely used. A smart environment in the form of IoT, also known as the architecture of IoT, consists of three layers: perception layer, network layer, and application layer. A smart environment allows data and activities that happen in this environment to be collected, processed, and shared in real-time through various sensors. It can be introduced for early detection, tracking, and monitoring of potential confirmed cases. The smart environment is considered one of the most promising approaches to face and tackle the current scenario. However, research focusing on the potential of IoT smart environment in reaction to COVID-19 is still meager. Therefore, this paper identifies the smart environments potential based on the concept of IoT architectures three layers and further discusses how IoT can be introduced in public spaces to help battle the pandemic.
keywords	Internet of Things; Smart environment; COVID-19
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	caadria2021_266
id	caadria2021_266
authors	Chen, Yao, Lo, Tiantian, Guo, Xiangmin, Du, Ruijie and Hu, Xinchuang
year	2021
title	Interactive Virtual Sand Table - A theoretical review on its application towards Urban Planning
doi	https://doi.org/10.52842/conf.caadria.2021.2.629
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. 629-638
summary	The sand table is a tool of expression of urban planning.With the development of computer science and technology,virtual reality technology is playing an important role in many aspects of urban planning and design,as well as,the virtual sand table.This article analyzes the limitations of the current urban planning sand table from designers and other participants perspectives. It analyses the advantages of applying interactive technology in a sand table for urban planning and proposes using such interactive technology in the future. This paper will also investigate three aspects of interactions: human-computer interaction technology, collaborative interaction technology, remote visual interaction technology. The application of interactive technology on the virtual sand table, on the one hand, can carry out a multi-angle forward-looking analysis of the problems of urban construction and improve the efficiency of planning and approval, and development; on the other hand, it can increase public participation in urban planning and design.
keywords	interactive technology; urban planning; urban planning sand table; electronic sand table
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	caadria2021_226
id	caadria2021_226
authors	Fang, Yu-Cyuan, Chang, Teng-Wen, Hsiao, Chi-Fu and Chen, Chun-Yen
year	2021
title	Developing a correcting tool for interactive fabrication process
doi	https://doi.org/10.52842/conf.caadria.2021.1.653
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 653-662
summary	This paper will propose the integration of multi-view stereo and time of flight technologies and components. Through the spatial point cloud sensor, the changes of objects in the space are converted into digital point clouds, which are feedback on the virtual interface. To make the virtual and physical will continuously communicate and feedback in space, which we established a correction tool for the integration of virtual and physical. The agent-based sensor computing method combines the fabrication process of visual sensors and behavior, from virtual object control to fabrication machines. In this tool, users can explain the reasons for design decisions by visualizing process and process-related information. It allows virtual and physical previews and feedback in real time, and finds out the differences between the two and makes real-time corrections. Solved the correction problem of coexistence.
keywords	Digital fabrication; Digital Twin; Co-existing; Design process
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	caadria2021_210
id	caadria2021_210
authors	Hsiao, Chi-Fu, Lee, Ching-Han, Chun-Yen, Chen and Teng-Wen, Chang
year	2021
title	A Distributed Agents Approach for Design and Fabricating Process Management among Prototyping Practice Environment
doi	https://doi.org/10.52842/conf.caadria.2021.1.593
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 593-601
summary	This paper develops a design and fabrication process management platform for prototyping practice environments using a robot operating system (ROS) framework, which we refer to as a fabricating operating service (FOS). The FOS executes a sequence of fabrication workflow that goes from materials handling, positioning, fabrication simulation, executing process to parts assembling. Each work phase is considered a different activity in the execution phase and a compact printed circuit board node to send and receive physical data. These nodes are registered onto an FOS cloud master, which distributes the node-to-node communication and links up the entire sequence of the workflow map. We propose FOS given that its loose, coupled, and distributed computation framework allows the fabrication team to visualize and record data using sharable ROS package structures. The FOS provides the advantage of easily creating additional tools, configurations, and automated scripts, and it increases the fabrication capabilities by simplifying and providing solutions for future robotic-aided fabrication development.
keywords	ROS; prototype; node; fabrication workflow;
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	caadria2021_448
id	caadria2021_448
authors	Koh, Seow Jin, Mok, Chiew Kai, Tan, Rachel and Chen, Edmund
year	2021
title	Optimising Harbour Typology in the Form Finding Process using Computational Design: A case study of a Greenfield port facility
doi	https://doi.org/10.52842/conf.caadria.2021.2.619
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. 619-628
summary	The bulk of computational design strategies and research have been focused on issues related to architectural form and building systems. This is done by employing computational tools to optimise architectural forms, building performance and generally, improve quality of living. Many of these methodologies are based on the concept of form finding - varying geometric elements to generate and evaluate options to derive optimised solutions. However, beyond building designs, the concept of form finding can find its relevance in other design applications too such as engineering, landscape, and in our case, the design of ports, or more specifically harbour typology. In most building scenarios, the plot of land earmarked for development is typically selected beforehand, hence little exploration have been done to optimise land topology, when in fact the profile of land is the governing feature in most designs. For performance driven facilities like ports with high economic and political impact, there is value in optimizing topology to maximise throughput. Through the multi-disciplinary and collaborative effort of stakeholders and specialists, our project explored optimizing harbour topology via performance-based approach using computational design. The phenomenon, including impact and effects of trade-offs, are discussed and presented in this paper through a case study of a Greenfield port facility.
keywords	form finding; form optimisation; port masterplanning; harbour typology; computational design
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	acadia21_48
id	acadia21_48
authors	Nahmad Vazquez, Alicia; Chen, Li
year	2021
title	Automated Generation of Custom Fit PPE Inserts
doi	https://doi.org/10.52842/conf.acadia.2021.048
source	ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 48-57.
summary	This research presents a machine learning-based interactive design method for the creation of customized inserts that improve the fit of the PPE 3M 1863 and 3M 8833 respiratory face masks. These two models are the most commonly used by doctors and professionals during the recent covid19 pandemic. The proper fit of the mask is crucial for their performance. Characteristics and fit of current leading market brands were analyzed to develop a parametric design software workflow that results in a 3D printed insert customized to specific facial features and the mask that will be used. The insert provides a perfect fit for the respirator mask. Statistical face meshes were generated from an anthropometric database, and 3D facial scans and photos were taken from 200 doctors and nurses on an NHS trust hospital. The software workflow can start from either a 2D image of the face (picture) or a 3D mesh taken from a scanning device. The platform uses machine learning and a parametric design workflow based on key performance facial parameters to output the insert between the face and the 3M masks. It also generates the 3d printing file, which can be processed onsite at the hospital. The 2D image approach and the 3D scan approach initializing the system were digitally compared, and the resultant inserts were physically tested by 20 frontline personnel in an NHS trust hospital. Finally, we demonstrate the criticality of proper fit on masks for doctors and nurses and the versatility of our approach augmenting an already tested product through customized digital design and fabrication.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2021_191
id	caadria2021_191
authors	Shou, Xinyue, Chen, Pinyang and Zheng, Hao
year	2021
title	Predicting the Heat Map of Street Vendors from Pedestrian Flow through Machine Learning
doi	https://doi.org/10.52842/conf.caadria.2021.2.569
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. 569-578
summary	Street vending is a recent policy advocated by city governments to support small and intermediate businesses in the post-pandemic period in China. Street vendors select their locations primarily based on their intuitions about the surrounding environment; they temporarily occupy popular locations that benefit their business. Taking the city of Chengdu as an example, this study aims to formulate the rules governing vendors location selection using machine learning and big data analysis techniques, thus identifying streets likely to become vital street markets. We propose a semantic segmentation method to construct heat maps that visualize and quantify the distribution of street vendors and pedestrians on public urban streets. The image-based generative adversarial network (GAN) is then trained to predict the vendors heat maps from the pedestrians heat map, finding the relationship between the locations of the vendors and the pedestrians. Our successful prediction of the vendors locations highlights machine learning techniques ability to quantify experience-based decision strategies. Moreover, suggesting potential marketing locations to vendors could help increase cities vitality.
keywords	Machine Learning; Big Data Analysis; Semantic Segmentation; Generative Adversarial Networks
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2021_263
id	caadria2021_263
authors	Song, Jingwen, Wang, Yuetao, Chen, Ping and Zheng, Hao
year	2021
title	Ice stereotomy - A Case Study of Free-Form Ice Shell
doi	https://doi.org/10.52842/conf.caadria.2021.1.311
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 311-320
summary	The free-form ice shell is the most challenging type in the design and construction of free-form buildings due to the regional and temporary nature of its materials. This paper presents a case study of the integration of design and fabrication of free-form ice shell. Taking the computational design and robotic fabrication of the ice shell as the main object, we discuss that combines the form-finding of the shell structure of graphic static with the tessellation technology of stereotomy, and propose a new method and workflow for the integration of discrete free-form ice shell design and construction. In the end, we built a free-form ice shell consisting of 116 discrete ice blocks. Practice has proved the feasibility of the integrated method of discrete free-form ice shell design and construction in the article.
keywords	Ice shell; Graphic statics; Digital stereotomy; Form-finding; Robotic fabrication
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2021_056
id	caadria2021_056
authors	Yang, Chunxia, Xu, Chen, Lyu, Chengzhe and Zhan, Ming
year	2021
title	Differences between Behavior Simulation and Space Syntax in the Study of Urban Texture - Considering the Street System and Property Right Plots
doi	https://doi.org/10.52842/conf.caadria.2021.2.367
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. 367-376
summary	The study applies two methods of behavioral simulation and space syntax to study waterfront accessibility from the urban texture levels of street system and property plot, exploring two methods differences, advantages and disadvantages in terms of simulation principle, fitting precision, and calculating results. The North Bund area of Shanghai is selected as the research sample. And the software of AnyLogic and Depthmap which are mostly used in the fields of behavior simulation and space syntax are used. The results are:Behavior simulation can visually reflect the usage condition of specific spaces through micro behavior data such as pedestrian flow, walking time, etc. But it has limitation in precision and stability of calculation, and the model need much time to construct and run if the site is large. Space syntax is more mature in accessibility analysis with high precise indexes such as choice and integration degree. However, the fitting precision between the output and real situation is lower than behavior simulation, and it cant directly evaluate the capacity and service level of the urban space. In general, both behavior simulation and space syntax can be applied to urban space research and have their own advantages and disadvantages, and complementary in between.
keywords	behavior simulation; space syntax; method comparison; urban texture; waterfront
series	CAADRIA
email
last changed	2022/06/07 07:57

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