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	ecaade2024_210
id	ecaade2024_210
authors	Li, Yangzhi; Fingrut, Adam; Altun, Sevgi
year	2024
title	Embedding Systems Platform Arduino and Robotics into Architectural Education: A project-based approach combining computational design and digital fabrication
doi	https://doi.org/10.52842/conf.ecaade.2024.2.685
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. 685–694
summary	This paper investigates integrating robotic fabrication technologies within architectural pedagogy, aiming to develop effective teaching strategy tailored for a diverse group of students, including postgraduate and undergraduate students. Robotics is an essential technology in Industry 4.0, providing a wide range of capabilities in the manufacturing field. The rapid advancement of robotic arms in various industries has opened new possibilities for architectural education. Many architecture schools worldwide have established experimental laboratories equipped with robotic arms, creating opportunities for students to explore beyond the traditional scope of CNC manufacturing. However, professional courses on integrating robotic construction technologies into architectural education are scarce. This research aims to explore using robots as an open interface for problem-solving, geometry exploration, and programming in architectural education, catering to the students' diverse backgrounds and skill levels. By utilizing robotic construction technologies, students can engage in hands-on experimentation, fostering the adoption of digital fabrication techniques.
keywords	Architectural education, Digital Fabrication, Parametric design, Robotic fabrication, Hands-on experimentation
series	eCAADe
email
last changed	2024/11/17 22:05

_id	cf2009_501
id	cf2009_501
authors	Li, Yongzhi; Lertlakkhanakul, Jumphon; Lee, Seongki and Choi, Jinwon
year	2009
title	Design with space syntax analysis based on building information model: Towards an interactive application of building information model in early design process
source	T. Tidafi and T. Dorta (eds) Joining Languages, Cultures and Visions: CAADFutures 2009, PUM, 2009, pp. 501- 514
summary	This paper introduces a new framework to enable user-friendly space syntax analysis during the initial design stage. It assists designers, without in-depth knowledge on space syntax, to evaluate and compare design outcomes rapidly. The framework is realized by integration between space syntax and building information model in which space topology is autonomously retrieved. A BIM modeler so called ‘ArchiSpace’ has been developed to demonstrate the applicability of the framework to design practice. Our experiment shows that designers can use the modeler to analyze their design alternatives instantly at any moment during the initial design stage. Therefore, users can generate and evaluate their design alternatives simultaneously without distraction and tedious work on the space syntax analysis in detail.
keywords	Space syntax, building information modeling, evidence based design, space topology
series	CAAD Futures
email
last changed	2009/06/08 20:53

_id	caadria2023_390
id	caadria2023_390
authors	Li, Yu, Li, Lingling and Yue, Naihua
year	2023
title	A Surrogate-Assisted Optimization Approach to Improve Thermal Comfort and Energy Efficiency of Sports Halls in Subtropical Climates
doi	https://doi.org/10.52842/conf.caadria.2023.1.301
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 301–310
summary	Balancing the thermal comfort and energy efficiency has been recognized as a critical issue in sports hall design, which is yet to be properly implemented in early design stages due to the huge computational cost and delayed simulation feedback. This paper develops an accelerated optimization approach for thermal comfort and energy efficiency of sports halls by combining surrogate modelling with evolutionary algorithms. An integrated computational workflow designated for early-stage application was established that consists of Design of experiments, Surrogate modelling, Surrogate-assisted multi-objective optimization, and Multi-criteria decision making. Specifically, a parametric sports hall model was set up for batch physics-based simulations to generate abundant training samples, which was then utilized to develop surrogate models for the rapid prediction of thermal comfort and energy efficiency. The validated surrogate models were eventually linked with evolutionary algorithms to quickly identify the optimal design solution(s). The performance of the developed approach was evaluated against the traditional simulation-based optimization (SBMOO) method. Results indicated that the proposed approach could save 70.91% of total computational time for this case study, whilst achieving better optimized thermal comfort and energy efficiency with a reduction of mean PMV and site EUI by 0.001 and 1.60 kWh/m2/yr versus the SBMOO method.
keywords	Thermal comfort, Energy efficiency, Multi-objective optimization, Surrogate model, Sports hall
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	caadria2023_412
id	caadria2023_412
authors	Li, Yuanyuan, Huang, Chenyu and Yao, Jiawei
year	2023
title	Optimising the Control Strategies for Performance-Driven Dynamic Building Facades Using Machine Learning
doi	https://doi.org/10.52842/conf.caadria.2023.1.199
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 199–208
summary	The balance between energy consumption and indoor environmental comfort is a continuing research topic in building energy efficiency. The dynamic façades (DF) are considered a practical approach to separate the sun and create more shadows for buildings with curtain walls, reducing the HVAC system's energy consumption. However, the design complexity of the DF leads to a time-consuming simulation process, making it difficult to modify the design parameters in the early design stage efficiently. This paper provides optimized control strategies for four dynamic façade prototypes. We use explainable machine learning to explore the relationship between design parameters of DF and indoor performance, including Energy Use Intensity (EUI) and Daylight Glare Probability (DGP). We deployed the trained model in optimizing the rotation angle of DF per hour on a typical day to minimize the EUI and DGP of the target room. The results show that the rotation angle of DF significantly affects the DGP, whereas the room size affects EUI performance more than rotation angles. Optimized control strategies of DF bring a maxim 13.5% EUI decrease and 51.7% reduction of DGP. Our work provides a generalizable design flow for performance-driven dynamic skin design.
keywords	Dynamic façade, Energy consumption, Indoor comfort, computational simulation, Multi-objective optimization, Machine learning
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	caadria2022_394
id	caadria2022_394
authors	Li, Yuanyuan, Huang, Chenyu, Zhang, Gengjia and Yao, Jiawei
year	2022
title	Machine Learning Modeling and Genetic Optimization of Adaptive Building Facade Towards the Light Environment
doi	https://doi.org/10.52842/conf.caadria.2022.1.141
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. 141-150
summary	For adaptive facades, the dynamic integration of architectural and environmental information is essential but complex, especially for the performance of indoor light environments. This research proposes a new approach that combines computer-aided design methods and machine learning to enhance the efficiency of this process. The first step is to clarify the design factors of adaptive facade, exploring how parameterized typology models perform in simulation. Then interpretable machine learning is used to explain the contribution of adaptive facade parameters to light criteria (DLA, UDI, DGP) and build prediction models for light simulation. Finally, Wallacei X is used for multi-objective optimization, determines the optimal skin options under the corresponding light environment, and establishes the optimal operation model of the adaptive facades against changes in the light environment. This paper provides a reference for designers to decouple the influence of various factors of adaptive facades on the indoor light environment in the early design stage and carry out more efficient adaptive facades design driven by environmental performance.
keywords	Adaptive Facades, Light Environment, Machine learning, Light Simulation, Genetic Algorithm, SDG 3, SDG 12
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ecaade2020_113
id	ecaade2020_113
authors	Li, Yunqin, Yabuki, Nobuyoshi, Fukuda, Tomohiro and Zhang, Jiaxin
year	2020
title	A big data evaluation of urban street walkability using deep learning and environmental sensors - a case study around Osaka University Suita campus
doi	https://doi.org/10.52842/conf.ecaade.2020.2.319
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 319-328
summary	Although it is widely known that the walkability of urban street plays a vital role in promoting street quality and public health, there is still no consensus on how to measure it quantitatively and comprehensively. Recent emerging deep learning and sensor network has revealed the possibility to overcome the previous limit, thus bringing forward a research paradigm shift. Taking this advantage, this study explores a new approach for urban street walkability measurement. In the experimental study, we capture Street View Picture, traffic flow data, and environmental sensor data covering streets within Osaka University and conduct both physical and perceived walkability evaluation. The result indicates that the street walkability of the campus is significantly higher than that of municipal, and the streets close to large service facilities have better walkability, while others receive lower scores. The difference between physical and perceived walkability indicates the feasibility and limitation of the auto-calculation method.
keywords	walkability; WalkScore; deep learning; Street view picture; environmental sensor
series	eCAADe
email
last changed	2022/06/07 07:51

_id	caadria2019_134
id	caadria2019_134
authors	Li, Yunqin, Zhang, Jiaxin and Yu, Chuanfei
year	2019
title	Intelligent Multi-Objective Optimization Method for Complex Building Layout based on Pedestrian Flow Organization - A case study of People's Court building in Anhui, China
doi	https://doi.org/10.52842/conf.caadria.2019.1.271
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. 271-280
summary	The pedestrian flow of the building influences and determines the layout of the building's plan. For buildings with complex flow such as courts, airports, and stations, mixed flow line and low traffic efficiency are prone to be problems. However, the optimization of the layout of complex flow buildings usually relies on the architect's experience to judge and trials to improve. To overcome these problems, we attempt to establish a parametric model of buildings' plan (taking a typical court building as an example) with information about the different pedestrian flow and functional groups. Based on the Rhino and Grasshopper platform, we take the minimum of different pedestrian flow path length and the maximum of total spatial integration value and the minimum of total spatial entropy value as the starting point, combines pathfinding algorithm, Space Syntax and multi-objective genetic algorithm to optimize space allocation. The result shows that, compared with the original scheme, the intelligent optimised scheme can reduce the spatial waste caused by improper flow organisation, effectively improve space transportation capacity and spatial organization efficiency.
keywords	Intelligent optimisation; space allocation; multi-objective optimization algorithm; Space Syntax; pathfinding algorithm
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	acadia22_714
id	acadia22_714
authors	Li, Yunqin; Zhang, Jiaxin; Wang, Xueqiang; Ma, Kai
year	2022
title	Measuring Street Vitality Based on Video-image Using Deep Learning
source	ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 714-725.
summary	This paper proposes a deep convolutional neural network-based framework for fine-scale studies on automatic evaluation of street-level vitality using multiple object tracking and image segmentation with video data. A deep learning model for street vitality evaluation was proposed based on the intensity and complexity of pedestrian activities.
series	ACADIA
type	paper
email
last changed	2024/02/06 14:04

_id	caadria2022_523
id	caadria2022_523
authors	Li, Zhixian, Huang, Xiaoran and Ruszczewski, Szymon
year	2022
title	Conflict and Reconciliation Between Architectural Heritage Values and Energy Sustainability, A Case Study of Xidi Village Anhui Province
doi	https://doi.org/10.52842/conf.caadria.2022.1.707
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. 707-716
summary	Virtual reality (VR) can enhance users' spatial perception by enabling spatial design activities. Conversely, the VR environment provides more visual information for the user to process than the desktop environment, resulting in a low efficiency of the design process. This study aims to verify whether VR can have a distinctive influence on the spatial design experience compared to the desktop environment. We conducted user studies on design experience in VR and desktop environments to accomplish this goal. The results revealed that participants‚ satisfaction with the design experience was higher in VR; however, the task completion was more time consuming than in the desktop environment.
keywords	Architectural Heritage, Energy Consumption, Designer‚s Simulation Toolkit, Xidi Village, Huizhou, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ijac20053206
id	ijac20053206
authors	Liakata-Pechlivanidou, Anastasia; Zerefos, Stylianos C.; Zerefos, Stylianos N.
year	2005
title	Perceptual and Cognitive Factors that Influence Orientation in Computer Generated Real Architectural Space
source	International Journal of Architectural Computing vol. 3 - no. 2, 245-254
summary	This study presents results from an experiment that concerns spatial perception and cognition in virtual environments. It also includes the effects of how the development of a simulated virtual space can change perception and cognition of a real building perceived only through architectural drawings and photographs. In the experiment each student was shown external and internal 360° images, representing nodes in virtual space, of the same virtual building. Two different groups of students were formed. The first group was shown photorealistic rendered images, while the other group the same images with non-photorealistic representation. Differences in orientation tendencies of the participating students, as well as statistical results from these experiments were tested and are presented in this paper. It was found that there was a statistically significant tendency of the students towards larger scatter in more luminous virtual space as well as a tendency to visit lit parts of virtual space.
series	journal
more	http://www.multi-science.co.uk/ijac.htm
last changed	2007/03/04 07:08

_id	caadria2024_386
id	caadria2024_386
authors	Liang, Jiadong, Zhong, Ximing and Koh, Immanuel
year	2024
title	Bridging Bim and AI: A Graph-Bim Encoding Approach for Detailed 3D Layout Generation Using Variational Graph Autoencoder
doi	https://doi.org/10.52842/conf.caadria.2024.1.221
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 1, pp. 221–230
summary	Building Information Modelling (BIM) data provides an abundant source with hierarchical and detailed information on architectural elements. Nevertheless, transforming BIM data into an understandable format for AI to learn and generate controllable and detailed three-dimensional (3D) models remains a significant research challenge. This paper explores an encoding approach for converting BIM data into graph-structured data for AI to learn 3D models, which we define as Graph-BIM encoding. We employ the graph reconstruction capabilities of a Variational Graph Autoencoder (VGAE) for the unsupervised learning of BIM data to identify a suitable encoding method. VGAE's graph generation capabilities also reason for spatial layouts. Results demonstrate that VGAE can reconstruct BIM 3D models with high accuracy, and can reason the entire spatial layout from partial layout information detailed with architectural components. The primary contribution of this research is to provide a novel encoding approach for bridging AI and BIM encoding. The Graph-BIM encoding method enables low-cost, self-supervised learning of diverse BIM data, capable of learning and understanding the complex relationships between architectural elements. Graph-BIM provides foundational encoding for training general-purpose AI models for 3D generation.
keywords	BIM, graph-structured, encoding approach, VGAE, graph reconstruction and generation
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	698a
authors	Liang, You-Dong and Barsky, Brian A.
year	1983
title	An Analysis and Algorithm for Polygon Clipping
source	Communications of the ACM November, 1983. vol. 26: pp. 868-877 : ill. includes bibliography.
summary	(This is one of the two standard algorithms for clipping. The other is the Sutherland-Hodgman reentrant algorithm). The process of polygon clipping is analyzed and the understanding gained thereby forms the foundation of a very direct algorithm. Each edge of the input polygon is considered to be a vector and is then extended to be a line of infinite extent. The boundary line segments of the clip window are extended in a similar fashion to become boundary lines. The intersection points of an extended edge with the boundary lines are identified as entry or exit points. It is observed that these entry and exit points can be used to characterize the visibility status of the edge. Not only might the edge have a visible segment, but it can also induce the inclusion in the output polygon of a vertex at a corner of the clip window called a turning vertex. To quantify the visibility conditions, the edge is written in parametric form. The possible contributions (including nil) that can be provided to the output polygon by a particular edge are established. This analysis is then embedded in an algorithm. An arbitrary example input polygon is given and the output of the algorithm is shown. The execution time for this example using this algorithm is measured to be half of what is required by the standard Sutherland-Hodgman reentrant polygon clipping algorithm
keywords	polygons, clipping, algorithms, computer graphics
series	CADline
last changed	2003/06/02 13:58

_id	05b4
authors	Liang, You-Dong and Barsky, Brian A.
year	1984
title	A New Concept and Method for Line Clipping
source	ACM Transactions on Graphics. January, 1984. vol. 3: pp. 1-22 : ill. includes bibliography
summary	A new concept and method for line clipping is developed that describes clipping in an exact and mathematical form. The basic ideas form the foundation for a family of algorithms for two-dimensional, three-dimensional, and four-dimensional (homogeneous coordinates) line clipping. The line segment to be clipped is mapped into a parametric representation. From this, a set of conditions is derived that describes the interior of the clipping region. Observing that these conditions are all of similar form, they are rewritten such that the solution to the clipping problem is reduced to a simple max/min expression. For each dimension, the mathematics are discussed, an example is given, the algorithm is designed, and a performance test is conducted. The new algorithm is compared with the traditional Sutherland-Cohen clipping algorithm. Using randomly generated data, the new algorithm showed a 36 percent, 40 percent, and 79 percent improvement for two-dimensional, three-dimensional, and four- dimensional clipping, respectively. One of the advantages of this algorithm is the quick rejection of line segments that are invisible. In addition, this algorithm can be easily generalized for clipping against any convex viewing volume
keywords	algorithms, clipping, computer graphics, analysis
series	CADline
last changed	2003/06/02 13:58

_id	caadria2010_036
id	caadria2010_036
authors	Liao, Hsiu-Ting; Teng-Wen Chang and Ih-Cheng Lai
year	2010
title	Storytelling: a computational approach for convergent thinking
doi	https://doi.org/10.52842/conf.caadria.2010.381
source	Proceedings of the 15th International Conference on Computer Aided Architectural Design Research in Asia / Hong Kong 7-10 April 2010, pp. 381-390
summary	Convergent thinking is an important skill in early design process to deal with the complexity and dynamic nature of design. In this research, by exploring the storytelling mechanism as one way to develop an idea generation representation called DIM (Dynamic Idea Map), we investigate characteristics of convergent process during the brainstorming experiments we conducted. A computational platform called Idea Story (Idea as Storytelling) is proposed which produces a narrative and helps generate a meaningful representation.
keywords	Storytelling; convergent thinking; idea map; design narrative
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	cf2015_484
id	cf2015_484
authors	Liao, Kai; Vries, Bauke de; Kong, Jun and Zhang, Kang
year	2015
title	Pattern, cognition and spatial information processing: Representations of the spatial layout of architectural design with spatial-semantic analytics
source	The next city - New technologies and the future of the built environment [16th International Conference CAAD Futures 2015. Sao Paulo, July 8-10, 2015. Electronic Proceedings/ ISBN 978-85-85783-53-2] Sao Paulo, Brazil, July 8-10, 2015, pp. 484.
summary	In this paper, we review and extend the idea of Alexander’s “pattern language”, especially from the viewpoints of complexity theories, information systems, and human-computer interaction, to explore spatial cognition-based design representations for “intelligent and adaptive/interactive environment” in architecture and urban planning. We propose a theoretic framework of design patterns “with spatial information processing”, and attempt to incorporate state-of-the-art computational methods of information visualization/visual analytics into the conventional CAAD approaches. Focused on the spatial-semantic analytics, together with abstract syntactic pattern representation, by using “spatial-semantic aware” graph grammar formalization, i.e., Spatial Graph Grammars (SGG), the relevant models, algorithms and tool are proposed. We testify our theoretic framework and computational tool VEGGIE (a Visual Environment of Graph Grammar Induction Engineering) by using actual architectural design works (spatial layout exemplars of a small office building and the three house projects by Frank Lloyd Wright) as study cases, so as to demonstrate our proposed approach for practical applications. The results are discussed and further research is suggested.
keywords	Pattern language, complex adaptive systems, spatial cognition, design representations, spatial information processing, Artificial Intelligence, visual language, Spatial Graph Grammars (SGG), spatial-semantic analytics.
series	CAAD Futures
email
last changed	2015/06/29 07:55

_id	caadria2019_437
id	caadria2019_437
authors	Liao, Pan, Gu, Ning, Brisbin, Chris, Rofe, Matthew and Soltani, Sahar
year	2019
title	Computationally Mapping Spatial Properties of Chinese Historic Towns using Space Syntax
doi	https://doi.org/10.52842/conf.caadria.2019.1.361
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. 361-370
summary	Due to its geographic size and long cultural history of fluctuating borders, China has a large number of historic settlements; each with their own unique geometric, cultural, social, and spatial characteristics. Despite the various studies that have attempted to qualitatively describe the spatial properties of historic towns, there are limited attempts to understand the spatial qualities of these towns through a quantitative approach, such as space syntax. This paper proposes and demonstrates a computational approach based on space syntax to map spatial properties of these towns. Four spatial features are examined and evaluated to capture the spatial patterns of Chinese historic towns: (1) axiality, (2) curvature, (3) intelligibility, and (4) synergy. The approach has been applied to four typical towns in China: Pingyao, Lijiang, Kulangsu, and Wuzhen. This computational approach provides a new way to complement existing qualitative measures of understanding the urban form and use of historic towns, providing a powerful tool to support the development of policy affecting historic town design/planning, heritage conservation, and heritage tourism.
keywords	Chinese historic towns; spatial properties; space syntax
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	cf2019_040
id	cf2019_040
authors	Liao, Yu-Yi and Sheng-Fen Chien
year	2019
title	Investigating Audience Satisfaction Base on the Nonverbal Language Analysis of the Audience in Photos
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 317-330
summary	When we want to know satisfaction of audiences in a speech, the questionnaire survey is the most affordable method to collect quantitative data. However, the reliability and validity of the questionnaire is closely related to the design of the questions and the attitude of the respondents. Photos can capture nonverbal behaviors of the audience while listening to a speech. At that time, the audience did not hide their emotions. In this paper, we organize the photos of the three speeches hosted by the NCKU Art Center in 2016 as the data set. We found that the results of the behavioral analysis in photos are similar to the statistical results of the questionnaire. Finally, we made some suggestions for using the photos to analyze the nonverbal behavior of audiences and for establishing a database of nonverbal behaviors.
keywords	Speech, nonverbal language analysis, audience satisfaction
series	CAAD Futures
email
last changed	2019/07/29 14:15

_id	caadria2009_019
id	caadria2009_019
authors	Liao, Yuan-Yu
year	2009
title	Some Phenomena of Analogical Thinking in Design
doi	https://doi.org/10.52842/conf.caadria.2009.781
source	Proceedings of the 14th International Conference on Computer Aided Architectural Design Research in Asia / Yunlin (Taiwan) 22-25 April 2009, pp. 781-790
summary	Analogy has been ascribed a key role in architectural design. Until now, there has been no complete theory describing how the analogical thinking process works in the design domain. Analogical thinking usually relates to freehand sketches and rarely connects to computer media. This research attempts to investigate analogical thinking from the perspective of the conventional media and computer media. Four analogical thinking in design phenomena have been established.
keywords	Analogical thinking; sketching; computer media; cognitive experiment
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	ecaade2008_174
id	ecaade2008_174
authors	Liapi , Katherine A.
year	2008
title	Spatial Information Visualization Methods for Large Scale Infrastructure Projects
doi	https://doi.org/10.52842/conf.ecaade.2008.617
source	Architecture in Computro [26th eCAADe Conference Proceedings / ISBN 978-0-9541183-7-2] Antwerpen (Belgium) 17-20 September 2008, pp. 617-624
summary	For the communication of spatial information with regard to the design and construction of large scale urban infrastructure projects several visualization methods and technologies have been developed. The paper discusses two different trends in relevant technologies: a) those that use visualization to facilitate communication of construction planning information between architects, engineers, contractors, the public and other interested parties, and b) technologies that provide real time information on the conditions on the construction site.
keywords	spatial information visualization, real time construction site modeling, construction schedule visualization, motion modeling & vualization
series	eCAADe
email
last changed	2022/06/07 07:59

_id	6a70
authors	Liapi, Katherine
year	2001
title	Transformable Structures: Design Features and Preliminary Investigation
source	Journal of Architectural Engineering -- March 2001 -- Volume 7, Issue 1, pp. 13-17
summary	Innovative building conceptions, that allow for the change of the building's shape and form, can offer advantages for certain types of applications compared to conventional structures. The conception, design,and realization of transformable building structures require the use of innovative building technologies, and the development of new analytical methods and procedures. Geometric complexity is usually acharacteristic of the architectural expression of transformable structures, and their initial geometric configuration and representation is one of the earliest and most challenging phases in their design. A preliminaryinvestigation with computer simulation and animation studies can help identify problems in their initial geometric conception.
series	journal paper
last changed	2003/05/15 21:45

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