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	caadria2007_537
id	caadria2007_537
authors	Yu, Chuan Fei
year	2007
title	From Instrument to Interface: The Change of the Relationship between the Designer and the Media of Architectural Design
doi	https://doi.org/10.52842/conf.caadria.2007.x.v4x
source	CAADRIA 2007 [Proceedings of the 12th International Conference on Computer Aided Architectural Design Research in Asia] Nanjing (China) 19-21 April 2007
summary	Different from the traditional tools for architectural design, the new design media provides higher efficiency and quality by use of a set of digital techniques. The more important is that the relationship between the designer and the design media has been changed. The changes described here mainly lies in two aspects: firstly, compared with the traditional drawing tools which can only be used as a “pure” instrument with single direction response, the integrated digital design media provides an interface which generates great interaction between designer and the tools; secondly, through the interface with a broader sense, the digital media can join a design process itself by linking the architects with other designers, or even the whole AEC industry, through the ways like collaborative design and/or Internet Aided Design, which the traditional media never could accomplish. Thus with the changes from instrument to interface, the thinking mode and the process of architectural design currently are quite different from the traditional one. And the relationship between architects and relative professions like engineering and construction has also been enhanced through the system based on BIM or CIBS. In addition, the cause and outcome of such a change should also be emphasized in the architectural education.
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	ecaade2024_101
id	ecaade2024_101
authors	Yu, Jiaqi; Guo, Kening; Bai, Zishen; Wen, Zitong
year	2024
title	Application of Artificial Neural Network for Predicting U-Values of Building Envelopes in Temperate Zones
doi	https://doi.org/10.52842/conf.ecaade.2024.1.585
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 585–592
summary	Due to the global energy deficit, building energy consumption has become a significant issue in recent years. Many researchers have focused on building energy consumption simulations to manage energy consumption accurately and provide a comfortable indoor environment for occupants. In building energy simulations, accurate input of building parameters is essential. As important thermal parameters, the thermal transmittance (U-value) of building envelopes can affect building operational energy consumption. In most building energy simulation studies, the U-value was set to the theoretical U-value which was a fixed value. However, the U-value constantly varies due to several environmental impacts, especially fluctuating air temperature and relative humidity (T/RH). Thus, the U-values are dynamic in actual situations, and inputting dynamic U-values into building energy simulations can reduce the gap between the simulation and the actual situation. In this study, the dynamic U-values of conventional cavity envelopes in temperate zones were predicted by an artificial neural network (ANN) model. Firstly, the in-situ dynamic U-value measurement was conducted in Sheffield, the UK, from summer to winter in 2022. The heat flow meter method was applied, and the tested envelope was a conventional cavity envelope widely used in the UK. The indoor and outdoor T/RH were measured and recorded as well. Then, the measured data were applied to train the optimal ANN model. The input parameters included the indoor and outdoor T/RH, and the output parameter was the dynamic U-value. Finally, the prediction results obtained by the optimal ANN model were closely correlated with the measured dynamic U-value. This quantitative study of dynamic U-values examined the relationship between dynamic U-values of conventional cavity envelopes and environmental factors, which can provide reliable information for improving the inputting patterns of building parameters and the accuracy of the building energy simulation.
keywords	Artificial Neural Network Model, In-situ U-value Measurement, Dynamic U-value Prediction, Conventional Cavity Envelopes
series	eCAADe
email
last changed	2024/11/17 22:05

_id	caadria2024_152
id	caadria2024_152
authors	Yu, Jiaxi, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2024
title	Combining social media images and bitemporal satellite images for automated detection of damaged areas after flooding
doi	https://doi.org/10.52842/conf.caadria.2024.2.059
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. 59–68
summary	This paper addresses an urgent need for efficient and accurate flood damage assessment, a process currently hampered by labor-intensive and time-consuming methods. The study aims to harness the power of deep learning (DL) to create a model that integrates bitemporal satellite images and social media photos for automated flood-damaged building detection. Our original contribution lies in the novel combination of diverse data sources, which has shown the potential to enhance the generalization of damage detection models. The research question we tackle is: How can the integration of multi-source data improve the performance of flood damage detection? We deployed a bitemporal image transformer (BIT) incorporating a Convolutional Neural Network (CNN) as a feature extractor to merge features from satellite and social media images. Our model was tested on the Midwest-flooding dataset and yielded a 2% F1-score improvement over the baseline method while maintaining fewer parameters. This preliminary evidence suggests that social media disaster images contain crucial information for enhancing the performance of Disaster Detection Deep Learning (DDDL) methods. Integrating multi-source data proves beneficial in developing more sophisticated DDDL methods, which can promise fast and effective humanitarian relief in disaster scenarios.
keywords	Deep learning, Change detection, Data fusion, Model distillation, Remote sensing, Social media image dataset
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	acadia16_298
id	acadia16_298
authors	Yu, Lei; Huang, Yijiang; Zhongyuan, Liu; Xiao, Sai; Liu, Ligang; Song, Guoxian; Wang, Yanxin
year	2016
title	Highly Informed Robotic 3D Printed Polygon Mesh: A Nobel Strategy of 3D Spatial Printing
doi	https://doi.org/10.52842/conf.acadia.2016.298
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 298-307
summary	Though robotic 3D printing technology is currently undergoing rapid development, most of the research and experiments are still based on a bottom up layering process. This paper addresses long term research into a robotic 3D printed polygon mesh whose struts are directly built up and joined together as rapidly generated physical wireframes. This paper presents a novel “multi-threaded” robotic extruder, as well as a technical strategy to create a “printable” polygon mesh that is collision-free during robotic operation. Compared to standard 3D printing, architectural applications demand much larger dimensions at human scale, geometrically lower resolution and faster production speed. Taking these features into consideration, 3D printed frameworks have huge potential in the building industry by combining robot arm technology together with FDM 3D printing technology. Currently, this methodology of rapid prototyping could potentially be applied on pre-fabricated building components, especially ones with uniform parabolic features. Owing to the mechanical features of the robot arm, the most crucial challenge of this research is the consistency of non-stop automated control. Here, an algorithm is employed not only to predict and solve problems, but also to optimize for a highly efficient construction process in coordination of the robotic 3D printing system. Since every stroke of the wireframe contains many parameters and calculations in order to reflect its native organization and structure, this robotic 3D printing process requires processing an intensive amount of data in the back stage.
keywords	interdisciplinary design, craft in design computation, digital fabrication
series	ACADIA
type	paper
email
last changed	2022/06/07 07:57

_id	caadria2015_073
id	caadria2015_073
authors	Yu, Rongrong and John Gero
year	2015
title	An Empirical Foundation for Design Patterns in Parametric Design
doi	https://doi.org/10.52842/conf.caadria.2015.551
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. 551-560
summary	This paper presents the results from exploring the impact of using a parametric design tool on designers’ behaviour in terms of using design patterns in the early conceptual development stage. It is based on an empirical cognitive study in which eight architectural designers were asked to complete two architectural design tasks with similar complexity respectively in a parametric design environment (PDE) and a Geometric modelling environment (GME). Protocol analysis was employed to study the designers’ behaviour. To explore the development of design patterns during the design process, we utilise the technique of Markov model analysis. Through Markov models analysis of the PDE and GME results, we found that there are significantly more Function to Structure transitions in PDE than in GME. During this transition process, designers select an existing structure/solution for the particular function/design problem based on their experience or knowledge, which is a process of applying an existing design pattern to the problem. From this result we can infer that when architects apply programming and scripting in their design, such as in a PDE, they exhibit the characteristic of using design patterns.
keywords	Design pattern; parametric modelling; protocol studies.
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	caadria2014_298
id	caadria2014_298
authors	Yu, Rongrong; John Gero and Ning Gu
year	2014
title	Cognitive Effects of Using Parametric Modeling by Practicing Architects: A Preliminary Study
doi	https://doi.org/10.52842/conf.caadria.2014.677
source	Rethinking Comprehensive Design: Speculative Counterculture, Proceedings of the 19th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2014) / Kyoto 14-16 May 2014, pp. 677–686
summary	This paper presents the results of a protocol study which explores the cognitive behaviour of eight practicing architects while they used a geometric modeller (Rhino) with a parametric modeller (Grasshopper) as they designed. The protocol videos collected were transcribed, segmented and coded using the FBS ontology as the coding scheme. This resulted in each protocol being transformed from a qualitative video into a sequence of symbols from the FBS ontology and further divided into design knowledge and rule algorithm classes. The sequence of symbols forms the foundation on which quantitative representations of cognitive behaviour can be constructed and compared. Results of the relative cognitive effort expended on design knowledge and rule algorithm classes, through an articulation of the cognitive design issues, have been compared and discussed. These results provide insight into the use of parametric modellers by architects.
keywords	Design cognition; parametric modelling; protocol studies.
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	ijac201513105
id	ijac201513105
authors	Yu, Rongrong; John Gero, Ning Gu
year	2015
title	Architects' Cognitive Behaviour in Parametric Design
source	International Journal of Architectural Computing vol. 13 - no. 1, 83–102
summary	This paper presents the results of a protocol study of professional architects' cognitive behaviour in a parametric design environment. A design experiment was conducted in which eight professional architects completed an architectural conceptual design task in a typical parametric design environment -Rhino and Grasshopper. Protocol analysis was then applied to analyse the cognitive behaviour of the architects. In analysing the protocol data, the FBS ontology adopted for developing the coding scheme was sub-divided into design knowledge and rule algorithm classes as the means to capture designers' cognitive behaviour. Applying the method of cumulative analysis, results of the relative cognitive effort expended on design knowledge and rule algorithm classes have been compared and are discussed in the paper.
series	journal
last changed	2019/05/24 09:55

_id	ijac201311402
id	ijac201311402
authors	Yu, Rongrong; Ning Gu, Ju Hyun Lee
year	2013
title	Comparing designers' behavior in responding to unexpected discoveries in parametric design environments and geometry modeling environments
source	International Journal of Architectural Computing vol. 11 - no. 4, 393-414
summary	This paper presents a protocol study which compares designers' behaviors when unexpected discoveries appear in a parametric design environment (PDE) and a traditional geometry modeling environment (GME). From the view of design situatedness, designers tend to adapt and respond to the design situation as it continuously changes during the design process. The hypothesis is that when unexpected discoveries appear, these changing design situations can significantly affect designers' cognitive activities. In this study, we are interested in exploring designers' behaviors in responding to these unexpected discoveries in PDEs, and further, to compare those behaviors in GMEs. An experiment was conducted in which five designers completed two similar design tasks respectively in a PDE and a GME. Applying the research method of protocol analysis, designers' behaviors in response to unexpected discoveries in these two design environments are compared and discussed.
series	journal
last changed	2019/05/24 09:55

_id	5b5a
authors	Yu, W. and Skibniewski, M.J.
year	1999
title	A neuro-fuzzy computational approach to constructability knowledge acquisition for construction technology evaluation
source	Automation in Construction 8 (5) (1999) pp. 539-552
summary	This paper describes a methodology for constructability knowledge acquisition of construction technologies. The methodology combines a neuro-fuzzy network-based approach with genetic algorithms. The combination of fuzzy logic with learning abilities of neural networks and genetic algorithms may allow for automatic acquisition of constructability knowledge from training examples and for providing understandable explanations for the reasoning process. The proposed methodology can provide a mechanism to trace back factors causing unsatisfactory construction performance and the necessary feedback to construction engineers for technology innovation. An application example is provided to demonstrate the capabilities of the proposed methodology.
series	journal paper
more	http://www.elsevier.com/locate/autcon
last changed	2003/05/15 21:23

_id	ecaade2024_146
id	ecaade2024_146
authors	Yu, Zhichao; Hao, Xinyuan; Tong, Ziyu
year	2024
title	Research on Ventilation-Oriented Complex Building Design Using the WRF-CFD Downscaling Method
doi	https://doi.org/10.52842/conf.ecaade.2024.2.393
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 393–402
summary	Ventilation-oriented design aims to improve natural ventilation during the building design and optimization process. However, previous studies have focused merely on simplistic models, mono-scale climatic conditions, or single design problem. Building design is an integrated multiscale process, and accordingly, the external conditions for ventilation simulation should be targeted to different scales of the design process. To address these issues, this paper proposes a ventilation-oriented design framework for complex building design that combines the progressive design approach with the 3-domain nested ventilation simulation method based on WRF-CFD. Moreover, the boundary conditions are set to be appropriate for each design phase, with distinct evaluation indicators. To demonstrate its efficacy, this research takes the design process of a residential building located in the main urban area of Nanjing, China as a case. The results show that our design method can provide architects with multidimensional ventilation design information as references, and contribute to a better urban living environment based on ventilation-oriented complex building design.
keywords	Ventilation-oriented design, Design optimization, WRF-CFD model, Computational design, Complex building
series	eCAADe
email
last changed	2024/11/17 22:05

_id	caadria2005_b_4c_a
id	caadria2005_b_4c_a
authors	Yu-Chung Cheng, Ji-Hyun Lee
year	2005
title	Integrating scenario-based design and case-based design for user participation in Apartment plan design process
doi	https://doi.org/10.52842/conf.caadria.2005.233
source	CAADRIA 2005 [Proceedings of the 10th International Conference on Computer Aided Architectural Design Research in Asia / ISBN 89-7141-648-3] New Delhi (India) 28-30 April 2005, vol. 2, pp. 233-239
summary	It has been a ubiquitous problem that users generally do not participate in housing design process. In Taiwan, however, apartment buyers have a chance to customize their plan until the construction takes place. This paper attempts to solve the problem about user participation in apartment plan design by integrating scenario-based design and case-based design approaches. We build an interactive computational tool for designers to support user participation in the apartment plan design process and to prove our concepts by some concrete examples.
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	ascaad2006_paper5
id	ascaad2006_paper5
authors	Yuan Chen, Shang
year	2006
title	A Collaborative Digital Design Workshop: an ANN-based paradigm approach
source	Computing in Architecture / Re-Thinking the Discourse: The Second International Conference of the Arab Society for Computer Aided Architectural Design (ASCAAD 2006), 25-27 April 2006, Sharjah, United Arab Emirates
summary	This paper relies on observation and analysis an internationally digital design exchange activity, “The FCU & Bartlett School of Architecture, university college London (UCL) digital architecture workshop” to propose an educational model based on the artificial neural network (ANN). We expect that the results of this work can lead to the establishment of a scoring mechanism that can "adapt" to the difficulty of assigned problems and assess students' progress. An international technological exchange workshop based on the theme of digital design is helpful to attain an accelerated heightening in the quality and experience of education. This is going to be an educational trend and increasingly prevalent in the future. A successful educational curriculum in digital design relies on a concerted effort amongst curriculum framework, learning activities, and course content. While, an internationally exchange digital design workshop is different from traditional "semester-based" units of curriculums. The short-term educational models are required high degrees interaction and collaboration. On the other hand, artificial neural network system that is context aware in ill-defined and complex environments is highly adaptive. It can extract, interpret and use the context information and adapt its functions to obtain an optimal correspondence between “context change” and “desired goal” efficiently. Therefore, an ANN-based pedagogical mechanism is able to encourage students to select relatively difficult design problems and promote more design originality, interaction and collaboration.
series	ASCAAD
email
last changed	2007/04/08 19:47

_id	ecaade2021_027
id	ecaade2021_027
authors	Yuan, Chao, Zhang, Xiao, Zeng, Shaoting, Yang, Liu, Zhao, Zhilong and Qiu, Song
year	2021
title	Topology Reconstruction of a Discontinuous B-rep Geometry by using Form Finding Method
doi	https://doi.org/10.52842/conf.ecaade.2021.2.371
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. 371-380
summary	In the field of industrial manufacturing and building design procedure, B-Rep (Boundary Representation) model is often used to design and fabricate building components or molds, but in the finite element analysis(FEA) procedure, engineers often need to use the F-Rep (Functional Representation) model files. So, converting two file formats back and forth from one to another is a very important topic in architectural design and manufacturing process. However, there are still some limitations to carry out the conversation process efficiently on discontinuous B-rep geometries with existing software and plug-ins. In this paper, authors introduce an efficient retopology method with kangaroo physics plug-in based on Rhino platform to convert a B-Rep file into a F-Rep file (a continuous uniform mesh infinitely approached to the original geometry with a controllable face numbers) within limited steps. Thus, designers and engineers can do creative parametric design or finite element analysis continuously without surface boundary limitation. Furthermore, the mesh converted by the method introduced in the paper has a better regularity on each single face and better homogeneity of all faces than the built-in "QuadRemesh" function in Rhino-7.
keywords	Form-finding; Retopology; Mesh Mapping; Finite Element Analysis; Shape Quality
series	eCAADe
email
last changed	2022/06/07 07:57

_id	cf2013_130
id	cf2013_130
authors	Yuan, Philip F.; Eleni Sotiriou, and Mei Zhang
year	2013
title	Modular Digital Tectonics: Algorithmic Optimization of a Glass Component Wall for a Customized Fabrication Method
source	Global Design and Local Materialization[Proceedings of the 15th International Conference on Computer Aided Architectural Design Futures / ISBN 978-3-642-38973-3] Shanghai, China, July 3-5, 2013, pp. 130-138.
summary	This paper examines the implications of digital fabrication techniques on design and tectonics, through the example of a double-curvature glass-brick wall, designed and constructed in the context of ongoing research on modular tectonics by the architectural practice of Archi-Union. The high level of form complexity posed a great challenge for fabrication and gave rise to an alternate solution: customization and prefabrication of the supporting steel frame through a CNC rod-bending machine output a robust structure which allowed for accurate and fast placement of the bricks, thus minimizing costs, construction time and preserving design integrity. Therefore, the design orientated towards fabrication, and an algorithmic method that took into consideration production parameters was developed to optimize the structure. Realization of this prototype helps support our methodology for control of complexity in non-standard geometries which is based on adapting the design approach to customized fabrication methods.
keywords	Digital Fabrication, digital tectonics, component architecture, algorithmic design, CNC rod-bending
series	CAAD Futures
email
last changed	2014/03/24 07:08

_id	caadria2011_008
id	caadria2011_008
authors	Yuan, Xiaofang; Jihyun Lee and Yu Wu
year	2011
title	A new perspective to look at ice-ray grammar
doi	https://doi.org/10.52842/conf.caadria.2011.081
source	Proceedings of the 16th International Conference on Computer Aided Architectural Design Research in Asia / The University of Newcastle, Australia 27-29 April 2011, pp. 81-90
summary	Chinese lattice designs are a rich source of interesting geometric forms and shape grammar has been used to analyze and generate Chinese lattice designs. Following the origin design intention, researchers have already defined simple and intuitively compelling shape grammar rules to generate them. However, for some self-similar ice-rays, it is difficult to clarify the design intention of them, which is why researchers still cannot define shape grammar rules for them. In this paper, we utilize the culture hints to select the lowest-level constituent for shape calculation and clarify the design intention embedded in the ice-rays. We develop our new shape grammar rules based on the design intention and validate the rules by generating an existing ice-ray window.
keywords	Ice-ray; shape grammar; cultural hint; design intention; lowest-level constituent
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	cdrf2019_265
id	cdrf2019_265
authors	Yue Qi, Ruqing Zhong, Benjamin Kaiser, Long Nguyen,Hans Jakob Wagner, Alexander Verl, and Achim Menges
year	2020
title	Working with Uncertainties: An Adaptive Fabrication Workflow for Bamboo Structures
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_25
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
summary	This paper presents and investigates a cyber-physical fabrication work-flow, which can respond to the deviations between built- and designed form in realtime with vision augmentation. We apply this method for large scale structures built from natural bamboo poles. Raw bamboo poles obtain evolutionarily optimized fibrous layouts ideally suitable for lightweight and sustainable building construction. Nevertheless, their intrinsically imprecise geometries pose a challenge for reliable, automated construction processes. Despite recent digital advancements, building with bamboo poles is still a labor-intensive task and restricted to building typologies where accuracy is of minor importance. The integration of structural bamboo poles with other building layers is often limited by tolerance issues at the interfaces, especially for large scale structures where deviations accumulate incrementally. To address these challenges, an adaptive fabrication process is developed, in which existing deviations can be compensated by changing the geometry of subsequent joints to iteratively correct the pose of further elements. A vision-based sensing system is employed to three-dimensionally scan the bamboo elements before and during construction. Computer vision algorithms are used to process and interpret the sensory data. The updated conditions are streamed to the computational model which computes tailor-made bending stiff joint geometries that can then be directly fabricated on-the-fly. In this paper, we contextualize our research and investigate the performance domains of the proposed workflow through initial fabrication tests. Several application scenarios are further proposed for full scale vision-augmented bamboo construction systems.
series	cdrf
email
last changed	2022/09/29 07:51

_id	cf2009_757
id	cf2009_757
authors	Yue, Kui; Krishnamurti, Ramesh and Grobler, François
year	2009
title	Computation-friendly shape grammars: Detailed by a sub-framework over parametric 2D rectangular shapes
source	T. Tidafi and T. Dorta (eds) Joining Languages, Cultures and Visions: CAADFutures 2009, PUM, 2009, pp. 757- 770
summary	NP-hardness of parametric subshape recognition for an arbitrary number of open terms is proven. Guided by this understanding of the complexity of subshape recognition, a framework for computation-friendly parametric shape grammar interpreters is proposed, which is further detailed by a sub-framework over parametric two-dimensional rectangular shapes. As both the proof of NP-hardness and rectangular sub-framework invoke elements in graph theory, the relationship between shape and graph grammars is also explored.
keywords	Parametric subshape recognition, NP-hard, graph grammar
series	CAAD Futures
email
last changed	2009/06/08 20:53

_id	caadria2009_043
id	caadria2009_043
authors	Yue, Kui; Ramesh Krishnamurti
year	2009
title	Automatic Extraction of Building Features From Image Data: How Far Are We?
doi	https://doi.org/10.52842/conf.caadria.2009.727
source	Proceedings of the 14th International Conference on Computer Aided Architectural Design Research in Asia / Yunlin (Taiwan) 22-25 April 2009, pp. 727-736
summary	This paper examines how far we are towards automatic extraction of building features, by comparing two pipelines from image data to building features: an ideal pipeline, based on the requirements of an on-going project, and a realistic pipeline, based on current computer vision technologies.
keywords	Automatic extraction: building features; image data
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	acd7
authors	Yueh, Shing
year	1996
title	Architecture Design as Two Searches - Knowledge of Spatial Organization and Knowledge of Shape in Design Process
doi	https://doi.org/10.52842/conf.caadria.1996.217
source	CAADRIA ‘96 [Proceedings of The First Conference on Computer Aided Architectural Design Research in Asia / ISBN 9627-75-703-9] Hong Kong (Hong Kong) 25-27 April 1996, pp. 217-221
summary	In the theory of design research, design thinking has gradually become an important direction for the research. In early research of design thinking, due to the insufficiency of academic research in human thinking, we have been unable to make further research in the field of design thinking. However, with the remarkable development of a variety of subjects: such as management science, cognitive psychology as well as artificial intelligence and others, researchers engaged in design thinking have more clear methodologies and solid background to conduct research studies of design thinking process.
series	CAADRIA
last changed	2022/06/07 07:57

_id	cdrf2022_40
id	cdrf2022_40
authors	Yufan Xie, Jingsen Lian, and Yufang Zhou
title	A Slime Mold System Driven by Skeletonization Errors
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_4
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
summary	This paper proposed a new way to generate slime mold patterns using a typical voronoi-based skeletonization method. As a recursive system, it redraws and expands the resulting trails of skeletonization and feeds them back as an image source for skeletonization. Through iterations, it utilizes the difference before and after skeletonization to generate slime-mold-like patterns. During the whole process, we tested different growth types with different parameter settings and environmental conditions. Since most researches on skeletonization focus on minimizing errors, on the opposite side this method utilizes errors of skeletonisation (e.g. subtracted skeletons at “branch” areas of the bitmap are different from the original brush trails or the best result we expect) as the basis of the generative process. The redraw process makes it possible to reconnect skeletons via intersected brushes, continuously changing the topology of the network. Unlike the traditional slime mold algorithm which operates on every single agent, our method is driven by image-based solutions. On the output side, this system provides a condensed vector result, which is more applicable for design purposes.
email
last changed	2024/05/29 14:02

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