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	acadia22_90
id	acadia22_90
authors	Li, Chenxiao; Yuan, Mingyang; Han, Zilong; Faircloth, Billie; Anderson, Jeffrey S.; King, Nathan; Stuart-Smith, Robert
year	2022
title	Smart Branching
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. 90-97.
summary	Through the design and fabrication of a 1.3m-high physical prototype sampled from our facade proposal, we developed a relatively automated project pipeline. It aims to achieve the generative and evolutionary design and a non-planar clay deposition method for tubular branching components.
series	ACADIA
type	paper
email
last changed	2024/02/06 14:00

_id	ecaade2013_132
id	ecaade2013_132
authors	Li, Di; Knight, Michael and Brown, Andre
year	2013
title	A Parametric Recreation of Traditional Chinese Architecture
source	Stouffs, Rudi and Sariyildiz, Sevil (eds.), Computation and Performance – Proceedings of the 31st eCAADe Conference – Volume 2, Faculty of Architecture, Delft University of Technology, Delft, The Netherlands, 18-20 September 2013, pp. 697-703
doi	https://doi.org/10.52842/conf.ecaade.2013.2.697
wos	WOS:000340643600072
summary	This paper presents the current state of progress investigating the possibility of modelling traditional Chinese architecture using parametrics based on the two rule books. This builds on the work of producing systematic analysis on both rule books and contributing knowledge from extant buildings. The case study target is the floor plan described in Ying Zao Fa Shi. Discussion and future works are suggested at the end.
keywords	Parametric modelling, traditional Chinese architecture, Ying Zao Fa Shi, Kung-ch’eng tso-fa tse-le, floor plan.
series	eCAADe
email
last changed	2022/06/07 07:52

_id	caadria2024_442
id	caadria2024_442
authors	Li, Jia-Rong, Chang, Teng-Wen, Chang, Ching-Chih, Huang, Hsin-Yi, Hong, Cheng-Chun and Chang, Ya-Chen
year	2024
title	CocoBot: Developing a Consent Communication Tool Based on Co-Evolutionary Model
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. 49–58
doi	https://doi.org/10.52842/conf.caadria.2024.2.049
summary	In architecture and interior design, consent communication is crucial for the collaboration between clients and designers. With clients often needing assistance articulating particular design requirements, this study introduces CocoBot (Collaborative Consensus Bot), which integrates artificial intelligence-generated content (AIGC) technology into the communication of the design collaboration. This tool facilitates collaborative evolution between clients and designers by transforming requirements into tangible images, enhancing communication efficiency and consensus formation. The co-evolutionary model is at the core of CocoBot, which stimulates interaction and consensus formation between clients and interior designers by extracting semantic information from the communication process and generating images. It utilizes visualization to mitigate linguistic ambiguity and subjectivity, facilitating consensus attainment. Through qualitative research and expert interviews, we validate the effectiveness of CocoBot in improving communication between clients and designers, particularly in addressing language uncertainties and ambiguities, ushering in a new collaborative mode for designers and clients.
keywords	co-evolutionary model, Artificial Intelligence Generated Content (AIGC), design communication, collaboration, visualization, consensus formation
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	c71c
authors	Li, Jian Cheng
year	1996
title	Study on Computer-aided Design of Shading Device of a Building
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. 143-151
doi	https://doi.org/10.52842/conf.caadria.1996.143
summary	The design of shading device is an important aspect of architectural heat-prevent design in sub-tropical climates of China. There is a large amount of calculation how to choose suitable style and size of shading device for various window in each exposure of a building, for the aim of both sheltering from sunlight indoors and preserving proper sun-shining time in a room. The solution of the calculation for the design of shading device is presented in this paper.
series	CAADRIA
last changed	2022/06/07 07:59

_id	ecaade2022_196
id	ecaade2022_196
authors	Li, Jiaqi, Lo, Tian Tian, Guo, Xiangmin and Chen, Fukai
year	2022
title	Integrating XR and Tangible Model to Enhance Old Building Renovation Design
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 2, Ghent, 13-16 September 2022, pp. 207–216
doi	https://doi.org/10.52842/conf.ecaade.2022.2.207
summary	The renovation of old buildings usually has complex site constraints, involves multiple interests, and has limited capital costs. Therefore, the transformation process has always encouraged the participation of stakeholders to improve the effectiveness of the design. Tangible user interfaces (TUIs) consisting of physical models further simplify the operation. However, most designs are displayed by projection, which cannot provide a realistic interactive experience. Extended Reality (XR) technology has the advantages of interactivity and clear visualization. We developed a participatory renovation tool using XR technology and tangible models. We invited the owner to view the 3D design proposal in HoloLens and then use the tangible model to discuss the renovation design. This experiment proves that the system can realize on-site 3D visualization, allowing the public to design in a real environment and intuitively interact with the virtual and the real. Using the participatory design method of XR technology + tangible model will provide a convenient platform for the renovation of old buildings with the collaborative participation of stakeholders.
keywords	Building Renovation Design, Participatory Design, Extended Reality, Tangible Model, HoloLens
series	eCAADe
email
last changed	2024/04/22 07:10

_id	caadria2024_87
id	caadria2024_87
authors	Li, Jiongye and Stouffs, Rudi
year	2024
title	Distribution of Carbon Storage and Potential Strategies to Enhance Carbon Sequestration Capacity in Singapore: A Study Based on Machine Learning Simulation and Geospatial Analysis
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. 89–98
doi	https://doi.org/10.52842/conf.caadria.2024.2.089
summary	The expansion of urbanization leads to significant changes in land use, consequently affecting carbon storage. This research aims to investigate the carbon loss due to land use alterations and proposes strategies for mitigation. Utilizing existing land use data from 2017 and 2022, along with simulated data for 2025 generated by an ANN model and Cellular Automata, we identified changes in land use. These changes were then correlated with variations in carbon storage, both gains and losses. Our findings reveal a significant loss of 36,859 metric tons of carbon storage from 2017 to 2022. The projection for 2025 estimates a further reduction, reaching a total loss of 83,409 metric tons. By employing the LISA method, we identified that low-carbon storage zones are concentrated in the southeast region of the research site. By overlaying these zones with areas of carbon storage loss, we pinpointed regions severely affected by carbon depletion. Consequently, we propose that mitigation strategies should be imperatively implemented in these identified areas to counteract the trend of carbon storage loss. This approach offers urban planners a solution to identify areas experiencing carbon storage decline. Moreover, our research methodology provides a novel framework for scholars studying similar carbon issues.
keywords	land use and land cover (LULC) changes, simulated LULC, machine learning model, carbon storage changes, GIS
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	caadria2008_22_session3a_180
id	caadria2008_22_session3a_180
authors	Li, Li; Jingwen Gu, Jing Ma
year	2008
title	A solution of geometric security based on autoCAD
source	CAADRIA 2008 [Proceedings of the 13th International Conference on Computer Aided Architectural Design Research in Asia] Chiang Mai (Thailand) 9-12 April 2008, pp. 180-184
doi	https://doi.org/10.52842/conf.caadria.2008.180
summary	There are numerous electronic blueprints used in engineering today. The geometric security of these blueprints is a big problem to be solved. Based on the research on CAD system mechanics, this paper gives a solution that makes geometric access and use secure,, and gives an implementation on AutoCAD system. It designs a new encryption system compatible with the built-in encryption according to the exploration of variants and commands mechanism in AutoCAD system, and the analysis of structure of drawing database. The solution provides a safe access to files for different level users, and it places the control of edit authority on special geometrics via adding customized objects which contains authority information and password to the graphic information database.
keywords	geometric security, order mechanism, customized object
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2007_113
id	caadria2007_113
authors	Li, Li; Jingwen Gu
year	2007
title	Research of the Multimedia Courseware Creation System Application in Architecture Education
source	CAADRIA 2007 [Proceedings of the 12th International Conference on Computer Aided Architectural Design Research in Asia] Nanjing (China) 19-21 April 2007
doi	https://doi.org/10.52842/conf.caadria.2007.x.e7l
summary	A new teaching model is constructed in the study, which can make students fully involved in the learning activity while keep the guidance from instructors. Compared with traditional courseware technology, it excels in following metrics:A framework to build multimedia courseware is constructed in the system, which helps instructors to customize their own courseware in a fast and convenient fashion _ The system can be used to build flexible knowledge structure and complicated information trees, which matches the practical architectural knowledge system and excels the traditional one-way flowing process_A flexible database is built within the system. The courseware created by this system can read from the database and take information out of the database at any time.
series	CAADRIA
last changed	2022/06/07 07:50

_id	85db
authors	Li, Siu Pan Thomas and Will, Barry F.
year	1997
title	A Computer Based Evaluation Tool for the Visual Aspects in Window Design
source	CAADRIA ‘97 [Proceedings of the Second Conference on Computer Aided Architectural Design Research in Asia / ISBN 957-575-057-8] Taiwan 17-19 April 1997, pp. 247-256
doi	https://doi.org/10.52842/conf.caadria.1997.247
summary	Windows in buildings must respond to five major issues – daylight, sunshine, view, ventilation and sound. Each of these processes in its own way can be critical to the synthesis of a successful architectural design. All factors except view are engineering criteria that can be evaluated by some mathematical formulae provided there is sufficient information for the calculations. In contrast view” being a qualitative entity has difficulty in being measured by using conventional mathematical tools but it is probably the major factor that leads to the satisfaction and comfort of the users inside the building enclosure. This paper introduces a new approach in analyzing views by the use of computers. One of the advantages of this analysis process is that the psychological aspects are less biased in the end product. This paper explains the methodologies, theories and principles underlying these modeling and analyzing tools.
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	ijac20053405
id	ijac20053405
authors	Li, Siu-Pan; Kvan, Thomas
year	2005
title	Enhancing Interaction in Architectural Presentations with Laser Pointers
source	International Journal of Architectural Computing vol. 3 - no. 4, 503-517
summary	In a common meeting environment with projector-and-screen settings, the discussion may be dominated by a presenter who has the control of the content displayed. Although frequently used for architectural discussions, this digitally-engaged setting may not be optimal in its support of participation and discussion of design ideas. This paper presents a novel use of laser pointers to enhance the interaction in architectural presentations. A laser pointing system designed for a projector-and-screen environment was developed. To compare the performance of the laser pointer with other interaction devices, a controlled user study was carried out to test the efficiency of different devices in point-and-selection interactions. The usability of the system was also tested in a design critique. These two tests show that laser pointer is useful and able to encourage participation in group discussions. Details of the laser pointing system, the experiments and the results are reported in this paper.
series	journal
email
more	http://www.ingentaconnect.com/content/mscp/ijac/2006/00000004/00000001/art00002
last changed	2007/03/04 07:08

_id	ecaade2024_80
id	ecaade2024_80
authors	Li, Wenpei; Wu, Jiaqian; M. Herr, Christiane; Stouffs, Rudi
year	2024
title	Enhancing Lexicon Based Evaluation of Urban Green Space Characteristics and Perceptions with a Large Language Model
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. 59–68
doi	https://doi.org/10.52842/conf.ecaade.2024.2.059
summary	Evaluating Urban green space Characteristics and Human Perceptions (UCHP) is crucial for landscape design and management due to their impact on public health. Online park reviews provide valuable insights into human-environment interactions, enabling the large-scale evaluation of UCHP. However, existing approaches to classify online park reviews commonly ignore text context, leading to low precision of UCHP quantification and supervised approaches are rarely applied due to huge cost. To improve the precision and effectiveness of UCHP quantification, we propose a novel workflow comprising five stages: custom lexicon creation, design of labels for a Large Language Model (LLM), sentence classification using lexicon and LLM, and performance evaluation using a manually annotated dataset and four metrics: precision, recall, accuracy, and F1 score. To examine the performance of the LLM, we compared the classification of 15 UCHP using LLM, lexicon, and lexicon+LLM. The analysis involved utilizing online park review sentences from Google Map and TripAdvisor using the proposed workflow. The higher precision, accuracy and F1 score demonstrate that combination of lexicon and LLM yields the highest performance, followed by using only lexicon and then solely LLM. This performance evaluation demonstrates the validity of the proposed LLM-aided workflow, providing a practical, reliable, and efficient alternative to the lower performance of unsupervised methods, or costly supervised classification methods. We discuss the limitations of lexicon+LLM and outline new opportunities for LLM application in landscape studies.
keywords	urban green space, characteristics and human perceptions, large language model, evaluation
series	eCAADe
email
last changed	2024/11/17 22:05

_id	caadria2024_273
id	caadria2024_273
authors	Li, Xiaoqian, Han, Zhen, Liu, Gang and Stouffs, Rudi
year	2024
title	A Rapid Prediction Model for View-Based Glare Performance With Multimodal Generative Adversarial Networks
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. 29–38
doi	https://doi.org/10.52842/conf.caadria.2024.1.029
summary	Machine learning-based glare prediction has greatly improved the efficiency of performance feedback. However, its limited generalizability and the absence of intuitive predictive indicators have constrained its practical application. In response, this study proposes a prediction model for luminance distribution images based on the multimodal learning approach. This model focuses on objects within the field of view, integrating spatial and material features through images. It also employs semantic feature mapping and multimodal data integration to flexibly represent building information, removing limitations on model validity imposed by changes in design scenarios. Additionally, the study proposes a multimodal Generative Adversarial Network tailored for the multimodal inputs. This network is equipped with unique feature fusion and reinforcement blocks, along with advanced up-sampling techniques, to efficiently distill and extract pertinent information from the inputs. The model's efficacy is verified by cases focusing on residential building luminance distribution, with a 97% improvement in computational speed compared to simulation methods. Offering both speed and accuracy, this model provides designers with a rapid, flexible, and intuitive supporting approach for daylight performance optimization design, particularly beneficial in the early design stage.
keywords	Glare Prediction, Prediction Model, Multimodal Model, Generative Adversarial Networks
series	CAADRIA
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_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
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
doi	https://doi.org/10.52842/conf.caadria.2023.1.199
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
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
doi	https://doi.org/10.52842/conf.caadria.2022.1.141
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
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
doi	https://doi.org/10.52842/conf.ecaade.2020.2.319
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	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
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
doi	https://doi.org/10.52842/conf.caadria.2022.1.707
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	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	caadria2009_019
id	caadria2009_019
authors	Liao, Yuan-Yu
year	2009
title	Some Phenomena of Analogical Thinking in Design
source	Proceedings of the 14th International Conference on Computer Aided Architectural Design Research in Asia / Yunlin (Taiwan) 22-25 April 2009, pp. 781-790
doi	https://doi.org/10.52842/conf.caadria.2009.781
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

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