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	ascaad2022_064
id	ascaad2022_064
authors	Li, Chao; Petzold, Frank
year	2022
title	Towards Informed Design Decision Support of Additive Manufacturing in Construction: The Use of Integrated Knowledge in BIM-based Architectural Design
source	Hybrid Spaces of the Metaverse - Architecture in the Age of the Metaverse: Opportunities and Potentials [10th ASCAAD Conference Proceedings] Debbieh (Lebanon) [Virtual Conference] 12-13 October 2022, pp. 237-252
summary	Additive Manufacturing (AM) technologies have great potential to promote sustainable development in the architecture, engineering, and construction (AEC) domain. But the inherent complexity of AM and lack of domain knowledge hinder decisions about appropriate construction methods. With state-of-the-art Semantic Web technologies, a knowledge base regarding AM technologies can be formalized and integrated into the Building Information Modeling (BIM) methodology. To this end, this paper demonstrates how a Design Decision Support System (DDSS) utilizes formal knowledge to assist architects in choosing the appropriate AM method by assessing the manufacturability of individual building components. By following and refining the essential activities described, we aim to provide architects with informed decision support, thus facilitating the versatile use of AM technologies in the AEC domain.
series	ASCAAD
email
last changed	2024/02/16 13:29

_id	caadria2023_246
id	caadria2023_246
authors	Li, Chenxiao, Bao, Ding Wen, Yan, Xin, Wu, Renhu and He, Chenming
year	2023
title	A Nature-Inspired Experimental Method for Re-Generating Porous Architectural Systems Based on Environmentally Data-Driven Performance
doi	https://doi.org/10.52842/conf.caadria.2023.1.271
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. 271–280
summary	Weathering scenery, as one of the most representative time-consuming natural features, is associated with many characteristics through aspects of specialized morphology, porosity, adaptability, and regenerative ability. Because of its unique porous structure and majestic, randomly three-dimensional composition, it has inspired lots of creations in industrial design, art crafts, and graphic design fields. But in architectural generative design, very limited projects are related to weathering. However, in recent decades, the advancements in computer-aided design tools have made it possible to implement rigorous computational methods in complex geometrical systems. This research tries to learn from the weathering evolution and apply the characteristics in the pursuit of enriching nature-inspired architecture. The experiments will focus on one specific weathering behavior, using wind-blown particles as weathering agents, and introduce an experimental method of generating the performance-based porosity architectural system responding to environmental agents’ effects. Computational Fluid Dynamics (CFD), Bi-Directional Evolutionary Structural Optimization (BESO), and Swarm Intelligence are employed to negotiate between surface, structure, and environmental space. This study of the porosity architectural system is concerned not only with discovering new possibilities for intricate and complex nature-inspired architectural forms, but also with negotiating and considering humans and nature as equal decision-makers.
keywords	Porosity, Topology Optimization, Bi-directional Evolutionary Structural Optimization (BESO), Swarm Intelligence, Computational Fluid Dynamics (CFD), Nature-inspired Form-Finding
series	CAADRIA
email
last changed	2023/06/15 23:14

_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	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	ecaade2013_132
id	ecaade2013_132
authors	Li, Di; Knight, Michael and Brown, Andre
year	2013
title	A Parametric Recreation of Traditional Chinese Architecture
doi	https://doi.org/10.52842/conf.ecaade.2013.2.697
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
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.
wos	WOS:000340643600072
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	ab28
authors	Li, Fei, and Maher, Mary Lou
year	2000
title	Representing Virtual Places - A Design Model for Metaphorical Design
doi	https://doi.org/10.52842/conf.acadia.2000.103
source	Eternity, Infinity and Virtuality in Architecture [Proceedings of the 22nd Annual Conference of the Association for Computer-Aided Design in Architecture / 1-880250-09-8] Washington D.C. 19-22 October 2000, pp. 103-111
summary	The design of virtual places is metaphorical because it relies on references to the physical world. The use of a consistent metaphor provides a sense of place that combines functionality, familiarity, richness and an awareness of the presence of others. In this paper we consider such designs from a representational perspective. We discuss the characteristics and distinctions of a model of metaphorical design representation and propose a framework for the development of the representation of metaphorical design. We illustrate this framework with examples of designs of virtual places.
keywords	Virtual Worlds, Architectural Design, Design Representation, Design Model, Metaphorical Design
series	ACADIA
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_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
doi	https://doi.org/10.52842/conf.caadria.2024.2.049
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
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	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
doi	https://doi.org/10.52842/conf.ecaade.2022.2.207
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
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_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	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
doi	https://doi.org/10.52842/conf.caadria.2024.2.089
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
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	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	caadria2014_071
id	caadria2014_071
authors	Li, Lezhi; Renyuan Hu, Meng Yao, Guangwei Huang and Ziyu Tong
year	2014
title	Sculpting the Space: A Circulation Based Approach to Generative Design in a Multi-Agent System
doi	https://doi.org/10.52842/conf.caadria.2014.565
source	Rethinking Comprehensive Design: Speculative Counterculture, Proceedings of the 19th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2014) / Kyoto 14-16 May 2014, pp. 565–574
summary	This paper discusses an MAS (multiagent system) based approach to generating architectural spaces that afford better modes of human movement. To achieve this, a pedestrian simulation is carried out to record the data with regard to human spatial experience during the walking process. Unlike common practices of performance oriented generation where final results are achieved through cycles of simulation and comparison, what we propose here is to let human’s movement exert direct influence on space. We made this possible by asking "humans" to project simulation data on architectural surroundings, and thus cause the layout to change for the purpose of affording what we designate as good spatial experiences. A generation experiment of an exhibition space is implemented to explore this approach, in which tentative rules of such spatial manipulation are proposed and tested through space syntax analyse. As the results suggested, by looking at spatial layouts through a lens of human behaviour, this projection-and-generation method provides some insight into space qualities that other methods could not have offered.
keywords	Performance oriented generative design; projection; multi-agent system; pedestrian simulation; space syntax
series	CAADRIA
email
last changed	2022/06/07 07:59

_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
doi	https://doi.org/10.52842/conf.caadria.2008.180
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
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
doi	https://doi.org/10.52842/conf.caadria.2007.x.e7l
source	CAADRIA 2007 [Proceedings of the 12th International Conference on Computer Aided Architectural Design Research in Asia] Nanjing (China) 19-21 April 2007
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	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

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