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	cf40
authors	Leyh, W.
year	1995
title	Automatic assembly of a commercial cavity block system
source	Automation in Construction 4 (2) (1995) pp. 147-167
summary	In an earlier publication (Leyh, 1993) the "Experiences with the Construction of a Building Assembly Robot" have been dealt with. The application of that robot system for the automatic assembly of commercial cavity blocks is the subject of a subsequent report which consists of two parts: in the first, this paper, we primarily deal with the assembly methods, in the second we deal with their realization. What is characteristic of cavity blocks is the fact that they are at first assembled dry, without cementing material, and the masonry is later filled with mortar. As to their weight and dimension, the cavity blocks used by the company GISOTON are adjusted to the ergonomics of a mason. The entirely different characteristics and abilities of assembly robots are not taken into consideration. However, their dimensional tolerance is relatively small (0.5 mm). Furthermore as cavity bricks, they have conic and oval recesses. Both features are strongly favourable for automation. This paper will highlight specific problems during automized construction assembly with commercial standard assembly elements, and help to solve them.
keywords	Robotics; Assembly methods; Jointing technique; Reference system; Gripper construction
series	journal paper
more	http://www.elsevier.com/locate/autcon
last changed	2003/06/02 09:36

_id	11e9
authors	Leyh, W.
year	1995
title	Experiences with the construction of a building assembly robot
source	Automation in Construction 4 (1) (1995) pp. 45-60
summary	The aim of the development was the construction of a freely programmable handling system for use as an experimental plant for various tasks in research and development in the field of overground workings where freely programmable movement and force patterns are important. The system should be suitable for building assembly work in particular. With regard to the robot technology and the assembly operations, plans which are worked out theoretically are checked here and developed further by practical experience. The handling system constructed will be called "experimental building assembly robot".
keywords	Robot Kinematics; Open system architecture
series	journal paper
more	http://www.elsevier.com/locate/autcon
last changed	2003/05/15 14:41

_id	caadria2022_293
id	caadria2022_293
authors	Li, Andre, Zhang, Hong, Cui, Weiwen and Huang, Jie
year	2022
title	Implementation of Point Cloud and BIM Technologies in a Construction Workflow: A Case Study of a Building Project in Yuecheng District, China
doi	https://doi.org/10.52842/conf.caadria.2022.2.567
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. 567-576
summary	In recent years, there has been a surge of retrofitting and building projects in rural China, to elevate the living standards in local areas. However, with the conventional use of surveying and inspection instruments, the amount of construction errors account to substantial waste of materials, time and labour. The issue is magnified in the current context that emphasises on efficient utilisation of resources. The emergence of laser scanning and BIM technologies is evident with scanning equipment and software being more accessible. This paper explores the use of the two technologies, to be integrated into the a construction workflow. The research includes a self-conducted site survey, data collection, data processing and analyses. The processed point cloud data is extracted and compared to the as-designed BIM model, to analyse and assess the construction errors in various scales. The result displays a significant portion of the building being out of tolerance and its causes. A theoretical framework is proposed to integrate point cloud and BIM technologies, not only to document and assess the overall building dimensional accuracy, but also to minimise construction errors and waste, ensuring a responsible consumption and production of building materials.
keywords	BIM, laser scanning, point cloud, construction workflow, cast-in-situ concrete structure, tolerance compliance, SDG 12
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2020_301
id	caadria2020_301
authors	Li, Bin, Guo, Weihong, Schnabel, Marc Aurel and Moleta, Tane
year	2020
title	Feng-Shui and Computational Fluid Dynamics (CFD) - Analyzing Natural Ventilation and Human Comfort
doi	https://doi.org/10.52842/conf.caadria.2020.1.731
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 731-740
summary	The paper explores the analogies between Computational Fluid Dynamics (CFD) and Feng-Shui by undertaking an analysis of natural ventilation in Jiangmen city, Southern China. Feng-Shui has been used to inform the orientation, layout, and design of buildings in China for thousands of years. The research questions if these concepts are still valid for contemporary building design. Noting that computational simulation methods such as CFD allow architects to analyse the natural ventilation of buildings, this paper provides a novel study that examines if Feng-Shui principles can be reconciled against contemporary design processes. The research simulates 'community', 'block', and 'single courtyard' via CFD study to confirm the scientifically measurable concepts of Feng-Shui have concerning natural ventilation. We conclude that Feng-Shui concepts enhance natural ventilation and subsequently makes a positive contribution to sustainable building and design.
keywords	Human comfort; Natural ventilation; CFD; Feng-Shui
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	ecaade2020_235
id	ecaade2020_235
authors	Li, Bin, Guo, Weihong, schnabel, Marc Aurel and Zhang, Ziqi
year	2020
title	Virtual Simulation of New Residential Buildings in Lingnan Using Vernacular Wisdom
doi	https://doi.org/10.52842/conf.ecaade.2020.1.269
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 269-278
summary	Every new idea has some sort of precedent or echoes from the past. It is the same for the new residential buildings in Lingnan, China. In Lingnan, the vernacular knowledge of building design has been established over thousands of years. Whether it is suitable for use today should be verified. In this research, virtual simulations are employed to arrive at an overall conclusion. Virtual simulations based on PHOENICS, ENVI_MET, CadnaA, and Ecotect software were separately used for analysing the case of new residential buildings located in Lingnan. The study analysed the wind, thermal, acoustic, and light environments, which are four aspects of these new residential buildings. According to the results of our research, the paper discussed ways to amend and improve the new residential buildings that sit within the overall spirit of the vernacular knowledge of Lingnan; thus, it helps to put the traditional knowledge into the current context. The vernacular knowledge from XS to XL scale contexts, such as Feng-shui, was verified as being suitable for use in Lingnan today.
keywords	Virtual simulation; Vernacular wisdom; Residential building; Lingnan; Feng-shui
series	eCAADe
email
last changed	2022/06/07 07:52

_id	caadria2021_081
id	caadria2021_081
authors	Li, Danrui, Huang, Rong and Wu, Yihao
year	2021
title	Sensitivity Analysis of Pedestrian Simulation on Train station platforms
doi	https://doi.org/10.52842/conf.caadria.2021.2.529
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 529-538
summary	As the concerns for pedestrian safety in station design are growing, multi-agent simulation becomes more widely used nowadays. While the difference between inputs in regard to their impacts on simulation outputs needs further research, previous studies fail to provide a global analysis of it in complex environments with limited computation resources. Therefore, regression-based SRC and revised Morris Method are employed in a sensitivity analysis of train station platform simulations. Results show that preference for escalators and alighting rate are influential parameters to all three concerned outputs while the standard deviation of walking speed is negligible. Given that most simulation users have limited time and resources, this paper provides a list of parameters that deserve the time and effort to calibrate together with a factor fixing method that can be applied in similar scenarios. In this way, simulation users can lower the uncertainty of train station simulations more efficiently.
keywords	Sensitivity analysis; Train station; Pedestrian; Simulation; Morris Method
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	3d97
authors	Li, H. and Love, P.E.D.
year	1998
title	Design concept as a model for modelling design process and its knowledge
source	The Int. Journal of Construction IT 6(2), pp. 87-103
summary	The strategy of decomposing a design problem into subproblems is commonly used in engineering design. One difficulty in applying this strategy to computer-based design systems is the assembly of subproblem solutions to construct a whole solution. Despite its advantages, this design strategy suffers two major problems. First, as constraints are ill defined and implicitly exist among design objects, it is very difficult to articulate and represent design constraints in computable forms. Second, as design subproblems are designated separately in computer-based design systems, the inherent relationships among subproblems are not considered in contriving these subproblems. As a result, recomposing subproblem solutions is hard to do. This paper presents a model for modelling design processes and the knowledge involved. The model is called ‘design concept’, which represents empirical interconnections of design attributes and intraconnections of design subproblems. Topological relations are represented using decomposition trees. The advantages and disadvantages of integratively using decomposition trees and design concepts in facilitating conceptual design are discussed
series	journal paper
last changed	2003/05/15 21:45

_id	96a7
authors	Li, Heng and Love, Peter E.D.
year	2000
title	Genetic search for solving construction site-level unequal-area facility layout problems
source	Automation in Construction 9 (2) (2000) pp. 217-226
summary	A construction site represents a conflux of concerns, constantly calling for a broad and multi-criteria approach to solving problems related to site planning and design. As an important part of site planning and design, the objective of site-level facility layout is to allocate appropriate locations and areas for accommodating temporary site-level facilities such as warehouses, job offices, workshops and batch plants. Depending on the size, location and nature of the project, the required temporary facilities may vary. The layout of facilities can influence on the production time and cost in projects. In this paper, a construction site-level facility layout problem is described as allocating a set of predetermined facilities into a set of predetermined places, while satisfying layout constraints and requirements. A genetic algorithm system, which is a computational model of Darwinian evolution theory, is employed to solve the facilities layout problem. A case study is presented to demonstrate the efficiency of the genetic algorithm system in solving the construction site-level facility layout problems.
series	journal paper
more	http://www.elsevier.com/locate/autcon
last changed	2003/05/15 21:22

_id	caadria2024_166
id	caadria2024_166
authors	Li, Jinmin, Luo, Yilu, Lu, Shuai, Zhang, Jingyun, Wang, Jun, Guo, Rizen and Wang, ShaoMing
year	2024
title	ChatDesign: Bootstrapping Generative Floor Plan Design With Pre-trained Large Language Models
doi	https://doi.org/10.52842/conf.caadria.2024.1.099
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. 99–108
summary	Large language models (LLMs) have achieved remarkable success in various domains, revolutionizing tasks such as language translation, text generation, and question-answering. However, generating floor plan designs poses a unique challenge that demands the fulfilment of intricate spatial and relational constraints. In this paper, we propose ChatDesign, an innovative approach that leverages the power of pre-trained LLMs to generate floor plan designs from natural language descriptions, while incorporating iterative modifications based on user interaction. By processing user input text through a pre-trained LLM and utilizing a decoder, we can generate regression parameters and floor plans that are precisely tailored to satisfy the specific needs of the user. Our approach incorporates an iterative refinement process, optimizing the model output by considering the input text and previous results. Throughout these interactions, we employ many strategic techniques to ensure the generated design images align precisely with the user's requirements. The proposed approach is extensively evaluated through rigorous experiments, including user studies, demonstrating its feasibility and efficacy. The empirical results consistently demonstrate the superiority of our method over existing approaches, showcasing its ability to generate floor plans that rival those created by human designer. Our code will be available at https://github.com/THU-Kingmin/ChatDesign.
keywords	floor plan generation, large language models, user interactions, automatic design, deep learning, pre-train models
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	caadria2023_253
id	caadria2023_253
authors	Li, Jinze and Tang, Peng
year	2023
title	Multisource Analysis of Big Data on Street Vitality Using GIS Mapping and Deep Learning: A Case Study of Ding Shu, China
doi	https://doi.org/10.52842/conf.caadria.2023.1.565
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. 565–574
summary	Urban vitality is the driving force behind sustainable urban development. As the most frequently used public space in cities, the enhancement of street vitality is of great significance for improving human-centred habitats. Based on multi-source big data, this study uses spatial and statistical analysis methods to explore the impact factors of street vitality. Through the quantitative evaluation of these factors, we propose corresponding strategies to enhance the vitality of the street. Firstly, the spatial elements of streets are extracted using deep learning algorithm based on the acquired street view images. Further, the impact factors of street vitality are demonstrated using statistical methods by combining multi-source data. We established an evaluation system based on the impact factors of street vitality, which can quantify and predict street vitality. In this way, we can propose vitality enhancement strategy for the street with lower vitality in a targeted approach. The feasibility of the process is demonstrated by using Ding Shu as an example. This study provides a basic framework for a people-centred approach to enhance street vitality based on big data. It also contributes to causal inference in urban problems.
keywords	Multi-source data, street vitality, deep learning, spatial analysis, statistical analysis, causal inference, people-centred city
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	caadria2024_465
id	caadria2024_465
authors	Li, Jinze, Song, Zhehao, Wen, Jian, Cai, Chenyi and Tang, Peng
year	2024
title	Exploring Nonlinear Relationship Between Built Environment and Street Vitality Using Machine Learning: A Case Study of Ding Shu, China
doi	https://doi.org/10.52842/conf.caadria.2024.2.375
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. 375–384
summary	Urban vitality serves as the linchpin for sustainable urban development. Being the most extensively utilized public space within cities, augmenting street vitality bears paramount importance in accelerating design in human-centric habitats. This study employs spatial analysis and machine learning methods to explore the potential nonlinear relationships and local threshold effects between the built environment (BE) and street vitality based on multi-source data. This investigation provides support for the quantitative assessment and optimization of street vitality. Initially, using collected street view images, street spatial elements are extracted through deep learning algorithms. Subsequently, integrating multiple data sources, machine learning methods are employed to quantify the impact and interactions of the built environment on street vitality. Illustrated with the case of Dingshu, the feasibility of this process is demonstrated. By examining the correlation and underlying mechanisms between the built environment and street vitality, this study aids decision-makers in leveraging technological means to expedite design processes and create human-centric cities.
keywords	Nonlinear Relationship, Built Environment, Street Vitality, GBDT-SHAP, Interaction Effect
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	caadria2024_88
id	caadria2024_88
authors	Li, Jiongye and Stouffs, Rudi
year	2024
title	Convolutional Neural Network-Based Predictions of Potential Flash Flood Hotspots in Singapore: Insights and Strategic Interventions
doi	https://doi.org/10.52842/conf.caadria.2024.2.069
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. 69–78
summary	Amid increasing urbanization, changing climate, and limited stormwater infrastructure, urban flooding is a global issue, and Singapore is no exception. Traditional identification of flood-prone areas in Singapore has relied on historical flash flood data. However, by applying the booming influx of big data across various domains, including geography, weather, and DEM data, and using the deep learning model, Convolutional Neural Network (CNN), this research proposes a method that can accurately and effectively predict flash flood spots in an urban environment. Specifically, datasets including elevation, slope, aspect, rainfall, canals, drainage, and land use are fed into the CNN model to predict the locations of flash floods. The model, with a testing accuracy of 0.962, generates a comprehensive flash flood assessment map identifying high-risk areas in Singapore. Contrary to the current flood-prone area identification, which classifies only 0.79% of the country as susceptible to flash floods based on historical events, our CNN model-based assessment indicates that 11.4% of the country is at high risk. These newly identified zones are predominantly located along the coastline and in low-lying watershed outlets. Additionally, we propose corresponding stormwater infrastructure enhancements to mitigate flash flooding in these locations.
keywords	flash floods, flood prediction, convolutional neural network, geospatial data, flash flood assessment map, stormwater management measures
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	caadria2023_347
id	caadria2023_347
authors	Li, Keke, Wu, Hao, Ding, Xiangwen, Li, Haowei and Yuan, Philip F.
year	2023
title	Bespoke 3D Printed Chair: Research on the Digital Design and Fabrication Method of Multi-Body Pose Fusion
doi	https://doi.org/10.52842/conf.caadria.2023.1.169
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. 169–178
summary	Customization has become a vital part of the post-industrial production model. Traditional production methods struggle with the challenge of collecting large amounts of data and the high costs of customization. With advancements in big data and deep learning algorithms, it is now possible to reduce the difficulty and cost of data collection, resulting in more accurate individual customization. This paper presents a proposed workflow for customizing multi-position seating for individuals. Using deep learning algorithms such as OpenPose and parametric design platforms such as Grasshopper, the workflow transforms user-generated photos of the body into a seating model that fits corresponding positions. This process combines deep learning algorithms, simplifies the data collection and processing process, and provides an interface for user interaction on the Grasshopper platform. The workflow provides a comprehensive example of data-driven customization in the context of big data. It explores the potential of a new paradigm in digital design where data is the primary driving force.
keywords	Customization, Posture recognition, Multi-platform collaboration, Deep Learning, Workflow
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	acadia23_v3_241
id	acadia23_v3_241
authors	Li, Leyuan
year	2023
title	Wall-Table-Bed
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 3: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-1-0]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 24-32.
summary	“Wall-Table-Bed” is an exhibition installation devised for this year’s ACADIA conference (Figure 1). It comprises nine movable and operable panels that create a malleable exhibition venue to showcase thirty-two posters selected through a rigorous peer-reviewed process. It also functions as a temporal device of enclosure, constructing a series of threshold conditions to engage events and activities at divergent scales and locations. The exhibition was first housed at the Jake Jabs Center during the conference and then relocated to outdoor and indoor public spaces in Denver to further its engagement with students and community stakeholders.
series	ACADIA
email
last changed	2024/04/17 14:00

_id	acadia20_170
id	acadia20_170
authors	Li, Peiwen; Zhu, Wenbo
year	2020
title	Clustering and Morphological Analysis of Campus Context
doi	https://doi.org/10.52842/conf.acadia.2020.2.170
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 170-177.
summary	“Figure-ground” is an indispensable and significant part of urban design and urban morphological research, especially for the study of the university, which exists as a unique product of the city development and also develops with the city. In the past few decades, methods adapted by scholars of analyzing the figure-ground relationship of university campuses have gradually turned from qualitative to quantitative. And with the widespread application of AI technology in various disciplines, emerging research tools such as machine learning/deep learning have also been used in the study of urban morphology. On this basis, this paper reports on a potential application of deep clustering and big-data methods for campus morphological analysis. It documents a new framework for compressing the customized diagrammatic images containing a campus and its surrounding city context into integrated feature vectors via a convolutional autoencoder model, and using the compressed feature vectors for clustering and quantitative analysis of campus morphology.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	4109
authors	Li, Shu-Xiang and Leow, Murray H.
year	1987
title	The Quadcode and its Arithmetic
source	Communications of the ACM. July, 1987. vol. 30: pp. 621-626 : ill. includes bibliography
summary	The quadcode is a hierarchical data structure for describing digital images. It has the following properties: (1) straightforward representation of dimension, size, and the relationship between an image and its subsets; (2) explicit description of geometric properties, such as location, distance, and adjacency; and (3) ease of conversion from and to raster representation. The quadcode has applications to computer graphics and image processing because of its ability to focus on selected subsets of the data and to allow utilization of multiple resolutions in different parts of the image. A related approach is the quadtree. Samet recently presented a thorough survey of the literature in that field. Gargantini and Abel and Smith presented linear quadtrees and linear locational keys that are efficient labeling techniques for quadtrees. In those papers the geometric concepts of the image are discussed by using the tree as an interpretive medium, and the approaches and procedures are based on traversal of the nodes in the tree. In this paper the authors present the quadcode system, which is a direct description of the image, and discuss the geometric concepts in terms of the coded images themselves
keywords	quadtree, image processing, representation, computer graphics, search
series	CADline
last changed	2003/06/02 13:58

_id	acadia23_v1_48
id	acadia23_v1_48
authors	Li, Tianying; Zhang, Haotian
year	2023
title	Flooded House: A Disruptive Comfort Zone
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 1: Projects Catalog of the 43rd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 48-55.
summary	“Flooded House” questions the concept of hygiene of the domestic space from a post-human perspective assisted by an experimental modeling process specifying ready-made plastic products. Against the threat of water, the nemesis of indoor space, modern architecture shields it as a submarine to retain the interior bubble of the comfort zone. The “Flooded House” is instead an aquarium. While a modern home strenuously excludes nature to retain the climatic management inside the bubble, the installation, “Flooded House,” presents faithfully the precarious condition of architecture by stripping bare the wall surfaces and exposing the plastic organs in architecture, an ad hoc assembly undergoing the crisis of water.
series	ACADIA
type	project
email
last changed	2024/04/17 13:58

_id	ijac20053103
id	ijac20053103
authors	Malkawi, Ali M.; Srinivasan, Ravi S.
year	2005
title	Interfacing with the real space and its performance
source	International Journal of Architectural Computing vol. 3 - no. 1, 43-56
summary	This paper presents an immersive gesture-recognition-based system to visualize the indoor thermal environment using Computational Fluid Dynamics (CFD). To enable efficient visualization of CFD in actual space, an Augmented Reality system was integrated with a CFD simulation engine. To facilitate efficient data manipulation of the simulated postprocessed CFD data and to increase user control of the immersive environment, an intuitive method of Human-Computer Interaction (HCI) has been incorporated using gesture and speech recognition. While gesture recognition aids in transforming hand postures into command functions through forward kinematics and computation of hand segment positions and their joint angles, speech recognition allows better control of the data manipulation. This enabled real-time interactions between the users and simulated CFD results in actual space.
series	journal
more	http://www.multi-science.co.uk/ijac.htm
last changed	2007/03/04 07:08

_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	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

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