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_049
id	caadria2018_049
authors	Xu, Tongda, Wang, Dinglu, Yang, Mingyan, You, Xiaohui and Huang, Weixin
year	2018
title	An Evolving Built Environment Prototype - A Prototype of Adaptive Built Environment Interacting with Electroencephalogram Supported by Reinforcement Learning
doi	https://doi.org/10.52842/conf.caadria.2018.2.207
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. 207-215
summary	This paper proposes an environment prototype learning from people's Electroencephalogram (EEG) feedback in real-time. Instead of the widely adopted supervised learning method, a recently published affordable reinforcement learning model (PPO) is adopted to avoid bias from designers and to base the interaction on the subject and intelligent agent rather than between the designer and subject. In this way, development of interaction method towards a specific target is substantially accelerated. The target of this prototype is to keep the subject's alpha wave stable or decline, which indicated a more calming state, by intelligent decision of illumination state according to subject's EEG. The result is promising, a decent trained model could be gained within 500,000 steps facing this mid-complex environment. The target of keeping the alpha wave of subjects on a low or stable level purely by decision from computer agents is successfully reached.
keywords	Brain–computer interface; Reinforcement learning; Adaptive environment; Electroencephalogram; Mindfulness training
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	caadria2018_025
id	caadria2018_025
authors	Khoo, Chin Koi, Wang, Rui, Globa, Anastasia and Moloney, Jules
year	2018
title	Prototyping a Human-Building Interface with Multiple Mobile Robots
doi	https://doi.org/10.52842/conf.caadria.2018.1.525
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. 525-534
summary	Recent advances in miniature mobile robotic research have generated possibilities and potentials in a range of fields such as the military, rescue operations, logistics and education. Within architecture, especially in responsive architecture and architectural interface disciplines, there has been minimal uptake of this technology, and so its full potential and implications have not been fully explored. In this paper, we propose a design exploration of a human-building interface (HBI) with multiple mobile robots serving as 'physical pixels', which investigates the latent possibilities of public interactive displays and media screens, potentially provoking interaction with existing built environments. The outcomes of this paper include an early-stage design study of an HBI prototype, PixelFace, which has been developed with multiple spherical mobile robots and an existing building structure. An early physical implementation of the HBI as an interactive public display with real-time physical movement that encourages playful interaction is also included.
keywords	Human-Computer Interaction; Human-Building Interface; Mobile Robots; Responsive Architecture
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2018_083
id	caadria2018_083
authors	Luo, Dan, Wang, Jinsong and Xu, Weiguo
year	2018
title	Robotic Automatic Generation of Performance Model for Non-Uniform Linear Material via Deep Learning
doi	https://doi.org/10.52842/conf.caadria.2018.1.039
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. 39-48
summary	In the following research, a systematic approach is developed to generate an experiment-based performance model that computes and customizes properties of non-uniform linear materials to accommodate the form of designated curve under bending and natural force. In this case, the test subject is an elastomer strip of non-uniform sections. A novel solution is provided to obtain sufficient training data required for deep learning with an automatic material testing mechanism combining robotic arm automation and image recognition. The collected training data are fed into a deep combination of neural networks to generate a material performance model. Unlike most traditional performance models that are only able to simulate the final form from the properties and initial conditions of the given materials, the trained neural network offers a two-way performance model that is also able to compute appropriate material properties of non-uniform materials from target curves. This network achieves complex forms with minimal and effective programmed materials with complicated nonlinear properties and behaving under natural forces.
keywords	Material performance model; Deep Learning; Robotic automation; Material computation; Neural network
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2018_232
id	caadria2018_232
authors	Poustinchi, Ebrahim, Wang, Shengmian and Luhan, Gregory
year	2018
title	No Keyboard, No Mouse - Hybrid Digital-Analog Hardware Design for Enhancing Design UI and UX
doi	https://doi.org/10.52842/conf.caadria.2018.1.535
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. 535-544
summary	This paper presents a mixed-method research design investigation that integrates a Hybrid Digital-Analog Software-Hardware protocol referred to as the No Keyboard, No Mouse (NK-NM) platform. The NK-NM process uses both theoretical and applied research mechanisms to measure its influence on architectural design decision-making, knowledge exchange, student learning, aesthetics, and user experience in the context of an undergraduate architectural design studio. Observing a recognized gap in the current digital architectural design environments this paper details how the NK-NM protocol bridges this gap through an instructed hierarchical design process, customizable physical interface, and iterative simulation-based feedback loop.
keywords	Digital Hardware; Digital Design; Pedagogy; Human-computer Interaction; Physical computation
series	CAADRIA
email
last changed	2022/06/07 08:00

_id	caadria2018_076
id	caadria2018_076
authors	Sun, Chengyu, Wang, Yuze, Zheng, Zhaohua, Sun, Tongyu and Ruiz, Laura
year	2018
title	MR. SAP: An Assistant Co-working with Architects in a Tangible-Model-Based Design Process
doi	https://doi.org/10.52842/conf.caadria.2018.1.555
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. 555-564
summary	To avoid interruption on architects' tangible-object-based design process, MR.SAP is being developed to co-work with architects as a cost-acceptable personal solution with tangible user interface, which can scan the tangible object, analyze its digital counterpart, and prompt visualized suggestions upon it through a portable projector in real time. It extends the user's capabilities of form perception, real time calculation, and operational positioning upon tangible objects, which can better serve his subjective aesthetic taste and design aims.
keywords	mixed reality; projector and camera system; manual craft; co-working
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2018_167
id	caadria2018_167
authors	Sun, Chengyu, Zheng, Zhaohua, Wang, Yuze, Sun, Tongyu and Ruiz, Laura
year	2018
title	A Topological-Rule-Based Algorithm Converting a Point Cloud into a Key-Feature Mesh
doi	https://doi.org/10.52842/conf.caadria.2018.2.597
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. 597-606
summary	As a bridge between tangible models and digital counter parts in almost all the architectural applications with Tangible User Interface, converting point clouds scanned from objects into light meshes with key-features are essential in the human-computer interaction. In this paper, an algorithm based on topological rules is introduced, which focuses on computing a topological-right mesh from a point cloud scanned by a low-cost device in real time. Mesh faces are extracted by analyzing distribution of the normal vectors of neighbor point clusters and mesh vertexes are calculated according to the topological conditions of local surrounding faces. Such a final key-feature mesh has the largest geometric similarity and least vertexes to the tangible model at an architectural cognitive level, whose dimensional accuracy is at an acceptable level concerning the low-cost device used.
keywords	Tangible model; Point cloud; Mesh simplification; Human Computer Interaction
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2018_140
id	caadria2018_140
authors	Wang, Chun-Yung and Hou, June-Hao
year	2018
title	Analysis and Applications of Theo Jansen's Linkage Mechanism - Theo Jansen's Linkage Mechanism on Kinetic Architecture
doi	https://doi.org/10.52842/conf.caadria.2018.2.359
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. 359-368
summary	The research is analysis the mechanism structure of the Theo Jansen's linkage. Studied how the linkage works. How does the crank work to make footsteps cycle. In this research studied the dynamic and kinetic mode of this structure and changing the length of the linkages. Make the Theo Jansen's mechanism that have more possibility of kinetic movement that is different from the previous walking mode. Using Rhinoceros's Grasshopper computer software to build a simulation system. To test and generate the possibility of the linkage's shape. Also simulate the how the linkage will be to run specific routes. The system can be made by single modularization which can do multiple used of kinetic system. The proposed deformation of the linkage and dynamic system which include the building facade changes pattern, openings, switching lighting system, and facade shading system can run with mechanism.
keywords	Theo Jansen’s Mechanism; Kinetic architecture; mechanism linkage
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	caadria2018_199
id	caadria2018_199
authors	Wang, Likai, Janssen, Patrick and Ji, Guohua
year	2018
title	Efficiency versus Effectiveness - A Study on Constraint Handling for Architectural Evolutionary Design
doi	https://doi.org/10.52842/conf.caadria.2018.1.163
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. 163-172
summary	This paper investigates the impacts of constraint handling on the evolutionary designs in terms of time efficiency and evolutionary effectiveness. To analyse this issue systematically, three generative models with different constraint handling strategies were constructed. The locality of the models and the associated positive and negative impacts on evolutionary designs were analysed.
keywords	constraint handling; locality; evolutionary design; time efficiency; evolutionary effectiveness
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	caadria2018_290
id	caadria2018_290
authors	Wang, Zhenyu, Shi, Jia, Yu, Chuanfei and Gao, Guoyuan
year	2018
title	Automatic Design of Main Pedestrian Entrance of Building Site Based on Machine Learning - A Case Study of Museums in China's Urban Environment
doi	https://doi.org/10.52842/conf.caadria.2018.2.227
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. 227-235
summary	The main pedestrian entrance of the building site has a direct influence on the use of the buildings, so the selection of the main pedestrian entrance is very important in the process of architectural design. The correct selection of the main pedestrian entrance of building site depends on the experience of designers and environment data collected by designers, the process is time consuming and inefficient, especially when the building site located in complex urban environment. In order to improve the efficiency of design process, we used online map to collect museums information in China as training samples, and constructing artificial neural networks to predict the direction of the main pedestrian entrance. After the training, we get the prediction model with 79% prediction accuracy. Although the accuracy still need to be improved, it creates a new approach to analysis the main pedestrian entrance of the site and worth further researching.
keywords	Artificial Neural Network (ANN); Main Pedestrian Entrance of Building Site; Automatic Design
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	caadria2018_273
id	caadria2018_273
authors	Yuan, Philip F., Wang, Xiang and Wang, Xiang
year	2018
title	Cellular Cavity Structure and its Application on a Long-Span Form-Found Shell Design
doi	https://doi.org/10.52842/conf.caadria.2018.1.297
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. 297-306
summary	This paper shows a design and building application of a novel structure concept which is presented and developed by the author. The form-found pavilion demonstrates the validity of the design methodology and the related technical details of the design and fabrication process in an arbitrary design domain. The large pavilion (7m6m2.5m) with only 1mm paperboard also shows the great potentials of the thin sheet materials to be used in shell structure designs. The structural concept is based on the spatial tessellation of shell spaces into groups of cellular cavities. The cellular cavity is mainly composed of two curved membranes and the circumferential ribs. Both global and local membrane actions can be activated by the use of materials as thin as 1mm. Based on the structural analysis of the foregoing pavilion, the structural behavior is discussed in detail with a physical compressive test of the different group of cellular cavities. The assembly process of the pavilion is discussed with a prototype in full scale. As a successful efficient paper-shell structure, this pavilion demonstrates the structural concept and could inspire the potentials of thin materials for future shell designs.
keywords	Cellular Cavity Structure; Shell Structure; Thin Paperboard; Large Pavilion Design; Parametric Design Method
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	ecaade2018_108
id	ecaade2018_108
authors	Luo, Dan, Wang, Jingsong and Xu, Weiguo
year	2018
title	Applied Automatic Machine Learning Process for Material Computation
doi	https://doi.org/10.52842/conf.ecaade.2018.1.109
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 109-118
summary	Machine learning enables computers to learn without being explicitly programmed. This paper outlines state-of-the-art implementations of machine learning approaches to the study of physical material properties based on Elastomer we developed, which combines with robotic automation and image recognition to generate a computable material model for non-uniform linear Elastomer material. The development of the neural network includes a few preliminary experiments to confirm the feasibility and the influential parameters used to define the final RNN neural network, the study of the inputs and the quality of the testing samples influencing the accuracy of the output model, and the evaluation of the generated material model as well as the method itself. To conclude, this paper expands such methods to the possible architectural implications on other non-uniform materials, such as the performance of wood sheets with different grains and tensile material made from composite materials.
keywords	neural network; robotic; material computation; automation
series	eCAADe
email
last changed	2022/06/07 07:59

_id	ecaade2018_238
id	ecaade2018_238
authors	Moleta, Tane, Wang, Brandon and Schnabel, Marc Aurel
year	2018
title	The Virtual Mirror - Cognitive Loads in VR and VR Visualisations
doi	https://doi.org/10.52842/conf.ecaade.2018.2.815
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 815-822
summary	This paper begins to look at how human data can be collected via Virtual, Augmented and Mixed Reality alongside Eye Tracking data for design Verification. This paper presents preliminary testing and results from participants to demonstrate a data pipeline methodology and data processing to begin to understand and verify the impact of certain design elements have on ones cognitive experience.All testing and aims have been focused on basic design elements and how they may effect the experience of pathfinding and navigating through a conceptual design within an architectural practice situation.
keywords	Cognitive Loads; Virtual Reality; Eye Tracking; Design Verification
series	eCAADe
email
last changed	2022/06/07 07:59

_id	ecaade2018_110
id	ecaade2018_110
authors	Nguyen, Binh Vinh Duc, Watlom, Thanonchai, Peng, Chengzhi and Wang, Tsung-Hsien
year	2018
title	Prototyping Adaptive Architecture - Balancing Flexibility of Folding Patterns and Adaptability of Micro-Kinetic Movements
doi	https://doi.org/10.52842/conf.ecaade.2018.2.391
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 391-400
summary	The design process of dynamic architecture has been an emerging topic in recent studies, in which researchers try to find an effective method of generating and controlling adaptive components. In this paper, we present a digital-physical modelling process that seeks to explore tectonic fusion of origami folding patterns and micro-kinetic movements. A flexible modular prototype system is developed and evaluated through combining origami-based fabrication simulation and mathematical characterisation mimicking the pinecone's nastic movements. The modular design system is then applied to an urban site as a test case study. The results show how the pinecone-like nastic movements may be translated into design and fabrication of an adaptive architecture. We discuss the lessons learned from the digital-physical prototyping process finding the balance between geometric flexibility and micro-kinetic adaptability.
keywords	adaptive architecture; origami folding patterns; micro-kinetic movements; pinecone; parametric modelling; digital-physical prototyping
series	eCAADe
email
last changed	2022/06/07 07:58

_id	ecaade2018_186
id	ecaade2018_186
authors	Wang, Sining and Crolla, Kristof
year	2018
title	Interaction between Parametric Modelling and Criteria of Product Development in China's Non-standard Practice
doi	https://doi.org/10.52842/conf.ecaade.2018.2.345
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 345-354
summary	This paper questions the ideal digital paradigm of its applicability for non-standard architectural practice in China. Streamlined multi-disciplinary cooperation may constrain when facing a challenging construction context which notorious for its high speed, lack of craftsmanship, low budgets, and poor detailing. Living with this, however, a group of digital practitioners has successfully been able to complete several non-standard architectural projects with a complex form. An argument raises suggesting an essential part of their success lies in their alternative use of typical parametric models, which are adapted to create tolerance space between design, development, and implementation process in response to local challenges. Here, we study two non-standard cases from Chinese architectural practice HHDFUN. By analysing the project delivery processes, this paper ambitious to extract higher-level knowledge that will contribute to the professional practice and facilitate the extension of an expanded, yet purely digital design solution space into the challenging material world of local construction.
keywords	HHDFUN; parametric model; solution space; product development; China's context
series	eCAADe
email
last changed	2022/06/07 07:58

_id	sigradi2018_1335
id	sigradi2018_1335
authors	Wang, Sining; Crolla, Kristof
year	2018
title	Fuzzy set theory for parametric design: A case study of non-standard architectural practice in China
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 44-51
summary	This paper introduces the fuzzy set theory to parametric architectural design and presents it as a strategy which architects can adopt to control a project’s complexity during the stage of design development. We discuss how the fuzzy set theory‘s ‘vagueness’ allows architects to delay their decision makings, especially when they are facing implementing situations where it is difficult to provide additional information needed for complex construction. In this study, we first introduce a metric for project complexity proposed by William Mitchell, who uses the notion of design content and construction content. Followed this we will explain the fuzzy set theory and its rationale for parametric designs.
keywords	Fuzzy set theory; Parametric design; Non-standard façade; Local affordances; China
series	SIGRADI
email
last changed	2021/03/28 19:59

_id	caadria2024_176
id	caadria2024_176
authors	Xiao, Yijun and Yuan, Sinan
year	2024
title	Unraveling the Dynamics of Urban Catering: Analysing the Factors in Shaping Neighbourhood Restaurants Sceneries
doi	https://doi.org/10.52842/conf.caadria.2024.2.485
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. 485–494
summary	This research explores the dynamics of neighbourhood restaurants distribution in Tianjin, China, against the backdrop of rapid urbanization and evolving consumer preferences. Analysing key factors such as consumer demand, transportation, location, built environment, and competition, the study utilizes count regression models to assess occurrence frequency. The investigation reveals a significant surge in community restaurants from 2018 to 2021, influencing spatial patterns. Population density, housing prices, transportation infrastructure, and built environment emerge as pivotal factors impacting neighbourhood restaurants dynamics. The Hurdle-NB model, considering both count and zero parts, demonstrates the best fit. This study contributes nuanced insights for policymakers and industry stakeholders, aiding in enhancing accessibility, sustainability, and competitiveness of neighbourhood restaurants in urban areas amidst changing urban dynamics and consumer trends.
keywords	Urban Catering, Culinary Geography, Neighbourhood Restaurants
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	caadria2019_664
id	caadria2019_664
authors	Zhou, Yifan, Zhang, Liming, Wang, Xiang, Chen, Zhewen and Yuan, Philip F.
year	2019
title	Exploration of Computational Design and Robotic Fabrication with Wire-Arc Additive Manufacturing Techniques
doi	https://doi.org/10.52842/conf.caadria.2019.1.143
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 143-152
summary	This paper discussed the exploration of computational design and robotic fabrication with Wire-Arc Additive Manufacturing techniques in a robotic metal printing workshop in Digital Futures 2018. Based on the previous research on structural-performance based design and robotic fabrication, this year's workshop mainly focused on the Wire-Arc Additive Manufacturing techniques and its possible outcomes. A prototype chair was tested for preparation. And the final target of the workshop was to build a bridge about 11m across the river. Through this metal printed bridge project, several computational optimization methods were applied to fulfill the final design. And Wire-Arc Additive Manufacturing techniques with robotic fabrication were carried out during the fabrication process.
keywords	computational design; robotic fabrication; wire-arc additive manufacturing techniques
series	CAADRIA
email
last changed	2022/06/07 07:57

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