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_053
id	caadria2021_053
authors	Rhee, Jinmo and Veloso, Pedro
year	2021
title	Generative Design of Urban Fabrics Using Deep Learning
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. 31-40
doi	https://doi.org/10.52842/conf.caadria.2021.1.031
summary	This paper describes the Urban Structure Synthesizer (USS), a research prototype based on deep learning that generates diagrams of morphologically consistent urban fabrics from context-rich urban datasets. This work is part of a larger research on computational analysis of the relationship between urban context and morphology. USS relies on a data collection method that extracts GIS data and converts it to diagrams with context information (Rhee et al., 2019). The resulting dataset with context-rich diagrams is used to train a Wasserstein GAN (WGAN) model, which learns how to synthesize novel urban fabric diagrams with the morphological and contextual qualities present in the dataset. The model is also trained with a random vector in the input, which is later used to enable parametric control and variation for the urban fabric diagram. Finally, the resulting diagrams are translated to 3D geometric entities using computer vision techniques and geometric modeling. The diagrams generated by USS suggest that a learning-based method can be an alternative to methods that rely on experts to build rule sets or parametric models to grasp the morphological qualities of the urban fabric.
keywords	Deep Learning; Urban Fabric; Generative Design; Artificial Intelligence; Urban Morphology
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	sigradi2021_312
id	sigradi2021_312
authors	Dickinson, Susannah and Ida, Aletheia
year	2021
title	Dynamic Interscalar Methods for Adaptive Design Futures
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 41–53
summary	This paper addresses our current environmental and political climate directly, disseminating work from a research-based, upper-level architecture studio located at the border of Mexico and the United States. Dynamic digital tools and methods were developed to connect multiple scales of spatialized data. Additional field tools, including electromagnetic field (EMF) meters, environmental sensors, and micro-photography, enabled real-time dynamics to be combined with photogrammetry, satellite and GIS data. The selected outcomes utilize the methodological framework in different ways. Three presiding significant outcomes demonstrated from this work include: 1) micro-macro scale inquiry through spatio-temporal data collection and fieldwork; 2) parametric digital tools for emergent design optimization linking natural and artificial systems; and 3) human-machine-nature interactions for cultural awareness, participation, and activism. Collectively, these three functions of the methodology shift practice towards an alter-disciplinary logic to enable adaptive design outcomes that are responsive to a range of issues presented through site-specific climate change dynamics.
keywords	Parametric Generative Design, Sustainable Design, Simulation, Bio-Inspired Design, Digital Pedagogy
series	SIGraDi
email
last changed	2022/05/23 12:10

_id	ascaad2021_065
id	ascaad2021_065
authors	Fraschini, Matteo; Julian Raxworthy
year	2021
title	Territories Made by Measure: The Parametric as a Way of Teaching Urban Design Theory
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 494-506
summary	Design tools like Grasshopper are often used to either generate novel forms, to automate certain design processes or to incorporate scientific factors. However, any Grasshopper definition has certain assumptions about design and space built into it from its earliest genesis, when the initial algorithm is set out. Correspondingly, implicit theoretical positions are built into definitions, and therefore its results. Approaching parametric design as a question of architectural, landscape architectural or urban design theory allows the breaking down of traditional boundaries between the technical and the historical or theoretical, and the way parametric design, and urban design history & theory, can be conveyed in the teaching environment. Once the boundaries between software and history & theory are transgressed, Grasshopper can be a way of testing the principles embedded in historical designs and thus these two disciplines can be joined. In urban design, there is an inherent clash between an ideal model and existing urban geography or morphology, and also between formal (qualitative) and numerical (quantitative) aspects. If a model provides a necessary vision for future development, an existing topography then results from the continuous human and natural modifications of a territory. To explore this hypothesis, the “Urban Design Representation” subject in the Master of Urban Design program at the University of Cape Town taught in 2017 & 2018 was approached “parametrically” from these two opposite, albeit convergent, starting points: the conceptual/rational versus the physical/empiric representations of a territory. In this framework, Grasshopper was used to represent typical standards and parameters of modern urban planning (for example, Floor/Area Ratio, height and distance between buildings, site coverage, etc), and a typological approach was adopted to study and “decode” the relationship between public and private space, between the street, the block and topography, between solids and voids. This methodology permits a cross-comparison of different urban design models and the immediate evaluation of their formal outputs derived from parametric data.
series	ASCAAD
email
last changed	2021/08/09 13:13

_id	acadia21_122
id	acadia21_122
authors	Velikov, Kathy; Hasan, Kazi Najeeb; del Campo, Matias; Xie, Ruxin; Denit, Lucas; Boyce, Brent
year	2021
title	Design Engine
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. 122-133.
doi	https://doi.org/10.52842/conf.acadia.2021.122
summary	Generative design offers the possibility to heuristically explore data-driven design iterations during the design process. This enables performance-informed feedback and the possibility for exploring viable options with stakeholders earlier in the design process. Since architectural design is a complex, nonlinear process that requires trade-offs and compromises among multiple requirements, many of which are in conflict with each other, a multi-objective solver provides a spectrum of possible solutions without converging on a single optimized individual. This enables a more informed design possibility space that is open to collaborative decision-making. This paper describes the development of a custom multi-objective generative design workflow to visualize families of possible future building typologies with a focus on the impact of site, form, envelope performance, and glazing. Three future design scenarios are generated for three urban U.S. locations projected to grow and where progressive environmental performance stretch codes have been adopted. Drivers such as plausible site, procurement, financing, value chain, and construction typology inform possibilities for built form, envelope technologies, and performance in relation to local codes, environment, and occupant health, are transformed into design inputs through urban, spatial and environmental simulation tools for a "building design generator," or a multi-objective optimizer tool that produces an array of possible building massing and schematic envelope design options. The paper concludes with pointing out some of the gaps in data of current evaluation tools, the need for interoperability across platforms, and this points to multiple trajectories of future research in this area.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2021_075
id	caadria2021_075
authors	Yang, Chunxia, Lyu, Chengzhe, Yao, Ziying and Liu, Mengxuan
year	2021
title	Study on the Differences of Day and Night Behavior in Urban Waterfront Public Space Based on Multi-agent Behavior Simulation
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. 559-568
doi	https://doi.org/10.52842/conf.caadria.2021.2.559
summary	In the twenty-four hour city era, how to optimize public spaces based on night behavior demands to promote full-time use has become a significant issue of urban design. Taking Shanghai North Bund as an example, the study collects data through site survey and questionnaire including environment elements, users attribute and behaviors. Next, the study sets up the simulation environment and translate the interaction of space and behavior into model language. Then, by setting up agent particles, running and fitting, the study obtains an ideal model. Finally, through sub-simulation and analysis, the study quantitatively explores the interaction mechanism between the physical environment and behavior from three levels of different spaces, different groups of people and different light conditions. The study finds that the differences of day and night behavior are produced under the combined effect of changes in attractiveness of environmental elements and changes in users demands and preferences. Compared with adults, the behaviors of elderly people and children show more obvious differences between day and night, and are more susceptible to space lighting, ground conditions and operating hours of facilities. Furthermore, the same kind of environment element will further affect users behavior in the night under different light conditions.
keywords	Self-Organization Behavior; Behavior Differences; Day and Night; Multi-Agent Behavior Simulation; Waterfront Public Space
series	CAADRIA
email
last changed	2022/06/07 07:57

_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
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
doi	https://doi.org/10.52842/conf.caadria.2021.2.367
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

_id	acadia21_160
id	acadia21_160
authors	Cao, Shicong; Zheng, Hao
year	2021
title	A POI-Based Machine Learning Method in Predicting Health
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. 160-169.
doi	https://doi.org/10.52842/conf.acadia.2021.160
summary	This research aims to explore the quantitative relationship between urban planning decisions and the health status of residents. By modeling the Point of Interest (POI) data and the geographic distribution of health-related outcomes, the research explores the critical factors in urban planning that could influence the health status of residents. It also informs decision-making regarding a healthier built environment and opens up possibilities for other data-driven methods. The data source constitutes two data sets, the POI data from OpenStreetMap, and the PLACES: Local Data for Better Health dataset from CDC. After the data is collected and joined spatially, a machine learning method is used to select the most critical urban features in predicting the health outcomes of residents. Several machine learning models are trained and compared. With the chosen model, the prediction is evaluated on the test dataset and mapped geographically. The relations between factors are explored and interpreted. Finally, to understand the implications for urban design, the impact of modified POI data on the prediction of residents' health status is calculated and compared. This research proves the possibility of predicting resident's health from urban conditions with machine learning methods. The result verifies existing healthy urban design theories from a different perspective. This approach shows vast potential that data could in future assist decision-making to achieve a healthier built environment.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2021_391
id	caadria2021_391
authors	Elshani, Diellza, Koenig, Reinhard, Duering, Serjoscha, Schneider, Sven and Chronis, Angelos
year	2021
title	Measuring Sustainability and Urban Data Operationalization - An integrated computational framework to evaluate and interpret the performance of the urban form.
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. 407-416
doi	https://doi.org/10.52842/conf.caadria.2021.2.407
summary	With rapid urbanization, the necessity for sustainable development has skyrocketed, and sustainable urban development is a must. Recent advances in computing performance of urban layouts in real-time allow for new paradigms of performance-driven design. As beneficial as utilizing multiple layers of urban data may be, it can also create a challenge in interpreting and operationalizing data. This paper presents an integrated computational framework to measure sustainability, operationalize and interpret the urban forms performance data using generative design methods, novel performance simulations, and machine learning predictions. The performance data is clustered into three pillars of sustainability: social, environmental, and economical, and it is followed with the performance space exploration, which assists in extracting knowledge and actionable rules of thumb. A significant advantage of the framework is that it can be used as a discussion table in participatory planning processes since it could be easily adapted to interactive environments.
keywords	generative design; data interpretation ; urban sustainability; performance simulation; machine learning
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	ascaad2021_113
id	ascaad2021_113
authors	Gün, Ahmet; Burak Pak, Yüksel Demir
year	2021
title	Technology-Driven Participatory Spatial Design in a Developing World Context: The Case of Istanbul
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 551-567
summary	Nowadays, ICT-based participatory design methods, techniques and tools are increasingly used across the globe. A majority of these are employed in high-income “developed” countries with advanced democratic systems which aim at including citizens; desires, needs, proposals as valuable input in city-making processes. In contrast, in the Global South, only a limited number of ICT-based practices aim to empower the citizens in urban design and planning at higher instances. There is a need for deeper research into how citizens can be involved in urban design in developing countries like Turkey situated in between the Global North and the South. In this context, this research will focus on Istanbul, Turkey as a key case. Different than the developed world context, enabling ICT-based participation in Turkey has a wide range of challenges. Among those are the lack of open and governmental data and transparency, the unwillingness of the policymakers to promote and employ participatory design, top-down approaches are the other weak points of these countries. Responding to these challenges, the aims of this study are: 1) to critically address the weaknesses and requirements of existing urban development practices in developing countries with a focus on Turkey, Istanbul and 2) to discuss the possible potentials of ICT-based participation tools and techniques to involve citizens in city-making processes.
series	ASCAAD
email
last changed	2021/08/09 13:13

_id	caadria2021_117
id	caadria2021_117
authors	Ikeno, Kazunosuke, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2021
title	Can a Generative Adversarial Network Remove Thin Clouds in Aerial Photographs? - Toward Improving the Accuracy of Generating Horizontal Building Mask Images for Deep Learning in Urban Planning and Design
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. 377-386
doi	https://doi.org/10.52842/conf.caadria.2021.2.377
summary	Information extracted from aerial photographs is widely used in the fields of urban planning and architecture. An effective method for detecting buildings in aerial photographs is to use deep learning to understand the current state of a target region. However, the building mask images used to train the deep learning model must be manually generated in many cases. To overcome this challenge, a method has been proposed for automatically generating mask images by using textured 3D virtual models with aerial photographs. Some aerial photographs include thin clouds, which degrade image quality. In this research, the thin clouds in these aerial photographs are removed by using a generative adversarial network, which leads to improvements in training accuracy. Therefore, the objective of this research is to propose a method for automatically generating building mask images by using 3D virtual models with textured aerial photographs to enable the removable of thin clouds so that the image can be used for deep learning. A model trained on datasets generated by the proposed method was able to detect buildings in aerial photographs with an accuracy of IoU = 0.651.
keywords	Urban planning and design; Deep learning; Generative Adversarial Network (GAN); Semantic segmentation; Mask image
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	caadria2021_276
id	caadria2021_276
authors	Kawai, Yasuo
year	2021
title	Development of a Tsunami Evacuation Behavior Simulation System for Selection of Evacuation Sites
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. 499-508
doi	https://doi.org/10.52842/conf.caadria.2021.2.499
summary	In this study, a tsunami evacuation simulation system was developed using a game engine and open data to reflect the conditions of a local emergency situation at low cost. Chigasaki City, which is a heavily populated urban area and tourist destination along the coast of Japan, was selected as the target area for this study. A total of 20 simulations were conducted using 20,000 evacuation agents categorized as child, adult, or elderly residents or visitors randomly placed on the road surface in the target area. The simulation results indicate that a 10.60% agent damage rate may occur for a tsunami of height 10 m. In lowland areas where the river flows inland, tsunamis were observed to move up the estuary, trapping agents between the river and the coast. In such inland areas, several areas with no tsunami evacuation buildings were observed. Thus, the low-cost simulations provided by the proposed system can provide necessary support for planning and designating appropriate tsunami evacuation buildings in disaster-prone areas.
keywords	Tsunami; Evacuation ; Agent; Simulation; Game Engine
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	cdrf2021_139
id	cdrf2021_139
authors	Shicong Cao1 and Hao Zheng
year	2021
title	A POI-Based Machine Learning Method for Predicting Residents’ Health Status
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_13
summary	Health environment is a key factor in public health. Since people’s health depends largely on their lifestyle, the built environment which supports a healthy living style is becoming more important. With the right urban planning decisions, it’s possible to encourage healthier living and save healthcare expenditures for the society. However, there is not yet a quantitative relationship established between urban planning decisions and the health status of the residents. With the abundance of data and computing resources, this research aims to explore this relationship with a machine learning method. The data source is from both the OpenStreetMap and American Center for Decease Control and Prevention (CDC). By modeling the Point of Interest data and the geographic distribution of health-related outcome, the research explores the key factors in urban planning that could influence the health status of the residents quantitatively. It informs how to create a built environment that supports health and opens up possibilities for other data-driven methods in this field.
series	cdrf
email
last changed	2022/09/29 07:53

_id	caadria2021_113
id	caadria2021_113
authors	Fink, Theresa, Vuckovic, Milena and Petkova, Asya
year	2021
title	KPI-Driven Parametric Design of Urban Systems
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. 579-588
doi	https://doi.org/10.52842/conf.caadria.2021.2.579
summary	We present a framework for data-driven algorithmic generation and post-evaluation of alternative urban developments. These urban developments are framed by a strategic placement of diverse urban typologies whose spatial configurations follow design recommendations outlined in existing building and zoning regulations. By using specific rule-based generative algorithms, different spatial arrangements of these urban typologies, forming building blocks, are derived and visualized, given the aforementioned spatial, legal, and functional regulations. Once the envisioned urban configurations are generated, these are evaluated based on a number of aspects pertaining to spatial, economic, and thermal (environmental) dimensions, which are understood as the key performance indicators (KPIs) selected for informed ranking and evaluation. To facilitate the analysis and data-driven ranking of derived numeric KPIs, we deployed a diverse set of analytical techniques (e.g., conditional selection, regression models) enriched with visual interactive mechanisms, otherwise known as the Visual Analytics (VA) approach. The proposed approach has been tested on a case study district in the city of Vienna, Austria, offering real-world design solutions and assessments.
keywords	Urban design evaluation; parametric modelling; urban simulation; environmental performance; visual analytics
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	ecaade2021_240
id	ecaade2021_240
authors	Dan, Yuze, Shen, Zhenjiang, Lin, Yumin, Zhu, Yiyun and Xiao, Jianqiang
year	2021
title	The Development of Design Support System for Public Participation of Community Public Space Design Using Mixed Reality
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 205-212
doi	https://doi.org/10.52842/conf.ecaade.2021.1.205
summary	Public participation has been continuously encouraged in community planning and design. However, lacking effective participatory tools, the professional design documents are complicated for the public to understand, let alone express their design intentions. The advancement of computer graphics brings possibilities to suppress this barrier, especially for the emergence of Mixed Reality (MR). In this research, we used MR technology to develop a design support tool for public participation. We implemented this system successfully by creating interactive interfaces, developing design functions, implementing design data, and establishing interactive visualizations. To examine its effectiveness, we did a participatory design experiment. We invited twelve participants to view the 3D design proposal and then make adjustments based on their respective preferences using the MR design support system. This experiment demonstrated that this system could achieve intuitive on-site 3D visualization for the public to understand professional design proposals and real-time design interactions to present their design intentions.
keywords	Public participation; Design support system; Mixed Reality; Interactive visualization; Community design
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ascaad2021_028
id	ascaad2021_028
authors	Fahmy, Marwa
year	2021
title	Applying Urban Parametricism in the Design of Dynamic Neighborhoods
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 646-660
summary	Neighborhoods are considered basic spatial units of an urban area. Their forms have complex and hierarchical structures that contain building layouts, street segments, street networks and etc.. The traditional ways of computationally producing neighborhoods have proven incompetence. Some of these conventional ways focus on the morphological approaches, but they do not include all urban features. Meanwhile, other models that can design urban features have limited formulation flexibility. Besides the absence of dynamic generation behavior as they don’t use parametric techniques. They lack interactivity with the surroundings as they don’t use streets as the main generator of neighborhoods. Additionally, they don’t have the ability of automatically analyzing the site. Other models are generated for a specific location and miss the interactivity with other sites. This study implements parametric techniques to generate an urban model with wide design varieties. Furthermore, the model has dynamic morphological behavior, capable of interacting with the designer's modifications. This study focuses on the streets and grid as the dominant element of neighborhoods. The study also presents a predefined function in the scripting process. The model also proposes a python switcher to allow easy accessing all the inputs. Also, the research converts the elements to be more interactive, responsive, flexible, and dynamic. Therefore, all the neighborhood elements are simultaneously created according to user requirements. The study method is divided into three stages: Decomposition, Formulation, Modeling, and evaluation. Each process is defined with its tools, inputs, and parameters.
series	ASCAAD
email
last changed	2021/08/09 13:11

_id	ecaade2022_197
id	ecaade2022_197
authors	Giglio, Andrea, Gorbet, Rob and Beesley, Philip
year	2022
title	Hybrid Soundscape: Human and non-human sounds interactions for a collective installation
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 441–447
doi	https://doi.org/10.52842/conf.ecaade.2022.1.441
summary	The paper describes a site-specific architectural soundscape installation created during a workshop in August 2021 at the Domaine de Boisbuchet in France. Far from urban noise, participants were attuned to natural, artificial, and human sound spheres, placing them in dialog and interweaving them through emulation, voice recording, and electro-acoustic devices including piezoceramic sensors, small motors, speakers, and embedded electronics. This expository paper includes qualitative descriptions of the spatial sound compositions, the technology that supported them, and the performance into which they were integrated. The results of this event were described by participants as trance-like, with phasing of multiple periodically organized emergent sound phenomena creating a deeply immersive distributed environment. In describing in detail, the tools, processes, outcomes and implications of the workshop, this paper offers an example of a design approach and model that can contribute immersive distributed architectural soundscape design through human and non-human sound interaction.
keywords	Spatial Sound, Hybrid Soundscape, Acoustic Responsive Devices, Human-Nonhuman Sound Interaction, Collective Installation
series	eCAADe
email
last changed	2024/04/22 07:10

_id	caadria2021_342
id	caadria2021_342
authors	Lau, Siu Fung George and van Ameijde, Jeroen
year	2021
title	City Centres in the Era of Self-Driving Cars: Possibilities for the Redesign of Urban Streetscapes to Create Pedestrian-oriented Public Spaces
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. 609-618
doi	https://doi.org/10.52842/conf.caadria.2021.2.609
summary	The forthcoming popularization of Self-driving Vehicles (SDVs) suggests a significant challenge in urban planning, as it enables new mobility patterns for urban citizens. While manufacturers have been developing visionary scenarios where cars become rentable mobile activity spaces, the impact of SDVs on the urban context is unclear. Through the analysis of the new social and technological functionalities developed by car manufacturers, and the projection of these functions into spatial scenarios of use within urban case study site, this paper explores the potential for the redesign of urban streetscapes to reclaim open spaces for pedestrian experiences and urban culture.
keywords	High-density urbanism; Self-driving vehicles; Urban analytics
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	caadria2022_157
id	caadria2022_157
authors	Liu, Sijie, Wei, Ziru and Wang, Sining
year	2022
title	On-site Holographic Building Construction: A Case Study of Aurora
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 405-414
doi	https://doi.org/10.52842/conf.caadria.2022.2.405
summary	Geometrically complex building components‚ reliance on high-touch implementation often results in tedious information reprocessing. Recent use of Mixed Reality (MR) in architectural practices, however, can reduce data translation and potentially increase design-to-build efficiency. This paper uses Aurora, a single-story residential building for 2021 China‚s Solar Decathlon Competition, as a demonstrator to evaluate the performance of on-site holographic building construction. This paper firstly reviews recent studies of MR in architectural design and practice. It then describes an MR-aided construction process of Aurora's non-standard building envelope and rooftop mounting structure, where in-situ holographic registration, human-machine cooperation, and as-built analysis are discussed. This paper concludes by stating that MR technologies provide unskilled implementers with a handy approach to materialise complex designs. The research was guided by the UN Sustainable Development Goals, especially aligning with the GOAL 9 which seeks innovations in industry and infrastructure.
keywords	Mixed Reality, Non-standard Architecture, Low-tech Construction, Solar Decathlon Competition, SDG 9
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ecaade2021_014
id	ecaade2021_014
authors	Lu, Ming, Zhou, Xinjie, Zhou, Yifan, Zhang, Liming, Zhu, Weiran and Yuan, Philip F.
year	2021
title	Research on Realtime Communication and Control Workflow with Vision Feedback Integrated in Robotic Fabrication
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 145-152
doi	https://doi.org/10.52842/conf.ecaade.2021.2.145
summary	On-site construction is one of the main research directions of robot construction. Due to the complex and everchanging construction environment on the site, traditional offline programming and simple conditional programming cannot meet the needs of robot on-site construction at all. Realtime adjustment of the robot's operating program for the real-time situation in the field is the appropriate solution. Therefore, the real-time communication and control of robots has become a key issue for robot on-site construction. This article discusses in turn the way of robot offline program control through EthernetKRL and grasshopper. A remote real-time communication and control method for an on-site construction robot is studied, and the application of the method in the on-site construction process of an actual robot is introduced with the Wuzhen coffee kiosk project as an example. Based on the above methods, remote real-time monitoring of the construction robot on site can be realized, which provides a reference for the actual engineering application of the construction robot on site.
keywords	on-site; robot; fabrication; communication; sensor
series	eCAADe
type	normal paper
email
last changed	2022/06/07 07:59

_id	sigradi2021_4
id	sigradi2021_4
authors	Song, Yang, Koeck, Richard and Luo, Shan
year	2021
title	[AR]OBOT: the AR-Assisted Robotic Fabrication System for Parametric Architectural Structures
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 1115–1126
summary	[AR]OBOT tries to assist the robotic fabrication process for parametric architectural structures with Augmented Reality (AR) technology to explore new possibilities for easy architectural robotic operations. Due to the lack of computer programming skills and the disconnection between design and fabrication, architects are hampered in the robotic operation process. As part of our project, we create a visualization prototype in which robotic and on-site related information is being shown through AR devices overlapping on the physical world; followed by a robotic trajectory planning method in which designers’ gestures are being identified by AR as location nodes and calculated with the obstacle avoidance system; and an operation process in which robots are being controlled by human gestures and interactions with holographic simulation to enhance the robotic fabrication process efficiency and safety. In this paper, we share the preliminary results to demonstrate a new kind of AR-assisted workflow for the architects to perform the robotic fabrication of parametric architectural structures intuitively.
keywords	Augmented Reality, Robotic Fabrication, Human-robot Collaboration
series	SIGraDi
email
last changed	2022/05/23 12:11

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