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	512caadria2004
id	512caadria2004
authors	Chyi-Gang Kuo, Hsuan-Cheng Lin, Yang-Ting Shen, Tay-Sheng Jeng
year	2004
title	Mobile Augmented Reality for Spatial Information Exploration
doi	https://doi.org/10.52842/conf.caadria.2004.891
source	CAADRIA 2004 [Proceedings of the 9th International Conference on Computer Aided Architectural Design Research in Asia / ISBN 89-7141-648-3] Seoul Korea 28-30 April 2004, pp. 891-900
summary	In this paper, we present an augmented reality system that integrates real and virtual worlds for outdoor sustainable education in campus. We develop a mobile spatially-aware computational device as a visualization aid to students learning outdoors. We apply the mobile augmented reality technology to a newly constructed ecological garden in our campus. Users can virtually see the underlying water cycling system outdoors and map the virtual objects to physical reality through embodied interaction with the computational device. The objective is to make invisible information visible to users to extend interactions with our “living” environment. Keywords : Augmented Reality, Mixed Reality, Mobil Computing, Information Exploration.
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	cdrf2021_102
id	cdrf2021_102
authors	Gang Mao
year	2021
title	A Study of Bio-Computational Design in Terms of Enhancing Water Absorption by Method of Bionics Within the Architectural Fields
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_10
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
summary	This essay aims to explore an architecture computational design intended to accept and absorb moisture through geometrical and material conditions, and using design strategies, help deliver this moisture upwards through capillary action to areas of cryptogamic growth including mosses and smaller ferns on the surface of architecture. The purpose of this research project is to explore the morphology of general capillary systems based on research into the principle of xylematic structures in trees, thereby creating a range of capillary designs using three types of material: plaster, 3D print plastic, and concrete. In addition, computational studies are used to examine various types of computational designs of organic structures, such as columns, driven by physical and environmental conditions such as sunshine, shade, tides and other biological processes to explore three-dimensional particle-based branching systems that define both structural and water delivery paths.
series	cdrf
email
last changed	2022/09/29 07:53

_id	caadria2007_000
id	caadria2007_000
authors	Gang, Yu; Zhou Qi and Dong Wei (eds.)
year	2007
title	CAADRIA 2007 - Digitization and Globalization
doi	https://doi.org/10.52842/conf.caadria.2007
source	Proceedings of the 12th International Conference on Computer Aided Architectural Design Research in Asia / Nanjing (China) 19-21 April 2007, 694 p.
summary	Turning to 21st century, the globe has been rapidly becoming a small village as the transportation and communication tools become more efficient and more easily available to the public. So has this been happening in AEC industry (Architecture, Engineering and Construction). Digital technology has apparently changed the working process in the AEC industry, but not as efficiently as in manufacturing industry, such as automobile production. It might be mainly because of the diversified components and scattered sites with lower industry standards, especially against the background of customization and vernacular traditions of architecture. What roles can digital technology play in this development and how can we steer correctly this inevitable trend?
series	CAADRIA
type	normal paper
email
last changed	2022/06/07 07:49

_id	cf2019_008
id	cf2019_008
authors	Han, Zhen; Ning Cao, Gang Liu and Wei Yan
year	2019
title	MOPSO for BIM: A Multi-Objective Optimization Tool Using Particle Swarm Optimization Algorithm on a BIMbased Visual Programming Platform
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 39-51
summary	With the increasing applications of computational methods in the field of design optimization, intelligent metaheuristic algorithms are playing a more important role in building performance optimization. To enable the integration of optimization algorithms with Building Information Modeling (BIM), this research implemented the Particle Swarm Optimization (PSO) algorithm on Revit + Dynamo, which is a parametric BIM platform. A MultiObjective PSO (MOPSO) Solver has been developed in Dynamo using MATLAB and C# programming languages. The methodology of the research and the validation studies are presented in the paper. The validation studies prove the effectiveness of the MOPSO Solver for both standard optimization test functions and an optimization example of a simplified building design.
keywords	Particle Swarm Optimization, BIM, multi-objective optimization, visual programming
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	caadria2007_411
id	caadria2007_411
authors	Hu, Youpei; Wowo Ding and Gang Yuan
year	2007
title	The Adjacency Topological Model for Housing Layout and Its Generating Algorithm, Based on the Case Study of Chinese Apartment Layouts Since 90s
doi	https://doi.org/10.52842/conf.caadria.2007.x.r9v
source	CAADRIA 2007 [Proceedings of the 12th International Conference on Computer Aided Architectural Design Research in Asia] Nanjing (China) 19-21 April 2007
summary	Our research deals with the problem of space layout planning and chooses the Chinese apartment layouts_since 90s_ as our case study objects. A new kind of data structure for building layouts is proposed which records the adjacency topological information of layouts. The most important quality of our model is that its phenotype corresponds to our visual perception about space layouts which makes possible the morphological analysis and layouts generation. Based on constraint satisfaction techniques the Generating Algorithm focused on enumerating all the possible topology models, under the constraints of program for a new housing layout design. A case study is presented before the conclusion is given.
series	CAADRIA
last changed	2022/06/07 07:50

_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
doi	https://doi.org/10.52842/conf.caadria.2024.1.029
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
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	664c
authors	Shen, Tie Gang
year	1996
title	Practice & Experience in the Design of Building Model with the Micro-computer
doi	https://doi.org/10.52842/conf.caadria.1996.245
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. 245-248
summary	Recently, I joined the competition for the commissions of the general department store of Tongzhou and Tongzhou agricultural trade centre, and succeeded in each competition. The design work was carried out with computer from first to last, with the use of AutoCad 12.0 and 3ds 3.0. I do not intend to introduce the design thoroughly, but I would like to deal with some aspects of CAAD. The following are my major steps and practicable experience of using CAAD. In order to differentiate design of building model with micro-computer and traditional-concept models, the former will be referred to as "screen model”, and the latter "object model”.
series	CAADRIA
last changed	2022/06/07 07:56

_id	44a3
authors	Shen, Tie Gang
year	1996
title	Today’s CAAD in China
doi	https://doi.org/10.52842/conf.caadria.1996.249
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. 249-252
summary	The research and application of CAAD in China was in about the 1980’s. Though a lot of success has been achieved in these ten years or so, the improvement is still relatively minor when compared with some other speciality. In fact there are only very few architects who are really making use of CAAD. In this paper, I would like to analyze the present situation and countermeasure CAAD in China.
series	CAADRIA
last changed	2022/06/07 07:57

_id	caadria2024_384
id	caadria2024_384
authors	Wen, Yi, Ye, Wei and Yu, Gang
year	2024
title	A Hybrid Multi-objective Model for Multi-story Warehouse Design: A Case Study in Shenzhen
doi	https://doi.org/10.52842/conf.caadria.2024.1.283
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. 283–292
summary	The thriving on-demand delivery economy and the increasing focus on addressing the global environmental crisis have spurred the need for efficient and sustainable logistics facilities in urban central areas. This paper delves into the optimization of multi-story logistics warehouse design in Shenzhen, China. Based on comprehensive investigations of existing multi-story warehouses in Shenzhen, the study proposes a hybrid computational model of integer programming and NSGA-II tailored for the generation and optimization of multi-story warehouse general layout design. The prototype, aimed at enhancing efficiency and sustainability, translates these concepts into attainable goals of optimizing land utilization, construction cost, and transportation distance. By addressing multi-objective challenges in the design process, the prototype's effectiveness is validated through a real-world case study. This paper seeks to offer a pragmatic approach to designing cost-effective and resilient multi-story logistics warehouses in the long term, applicable in both Shenzhen and other densely populated urban centers. The insights derived from this study may contribute to the ongoing discourse on optimizing logistics in dynamically evolving industrial landscapes.
keywords	logistics warehouse design, multi-story warehouse, generative design, multi-objective optimization, efficiency, sustainability, integer programming, NSGA-II
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	caadria2023_121
id	caadria2023_121
authors	Zhang, Mengting, Li, Peiwen and Yu, Gang
year	2023
title	Research on Plan Generation Design of Parking Lot Based on Integer Programming
doi	https://doi.org/10.52842/conf.caadria.2023.1.241
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. 241–250
summary	As an auxiliary space in engineering projects, the process of parking lot design is often under-appreciated, which is highly repetitive, time-consuming, and leaves little space for creativity. Thus, optimizing existing design methods and improving design efficiency is an aspiration of the industry. Based on integer programming, this paper focuses on the surface parking lot as the main research object and explores the possibility of changing the parking lot plan design from manual to computer-generated. According to the research of relevant norms, this paper classifies the parking lot plan in terms of organisation mode and summarises 27 kinds of parking lot plan modes by analysing the state of the inner ring, traffic organisation, and parking angle. The model can efficiently solve the problems related to parking lot arrangements, such as whether to arrange parking spaces in the inner- ring of the contour and how to choose the internal parking angle, which saves manpower and improves the design efficiency and quality.
keywords	parking lot plan generation, integer programming, generative design, visualization, optimisation algorithm
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	cdrf2019_134
id	cdrf2019_134
authors	Zhen Han, Wei Yan, and Gang Liu
year	2020
title	A Performance-Based Urban Block Generative Design Using Deep Reinforcement Learning and Computer Vision
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_13
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
summary	In recent years, generative design methods are widely used to guide urban or architectural design. Some performance-based generative design methods also combine simulation and optimization algorithms to obtain optimal solutions. In this paper, a performance-based automatic generative design method was proposed to incorporate deep reinforcement learning (DRL) and computer vision for urban planning through a case study to generate an urban block based on its direct sunlight hours, solar heat gains as well as the aesthetics of the layout. The method was tested on the redesign of an old industrial district located in Shenyang, Liaoning Province, China. A DRL agent - deep deterministic policy gradient (DDPG) agent - was trained to guide the generation of the schemes. The agent arranges one building in the site at one time in a training episode according to the observation. Rhino/Grasshopper and a computer vision algorithm, Hough Transform, were used to evaluate the performance and aesthetics, respectively. After about 150 h of training, the proposed method generated 2179 satisfactory design solutions. Episode 1936 which had the highest reward has been chosen as the final solution after manual adjustment. The test results have proven that the method is a potentially effective way for assisting urban design.
series	cdrf
email
last changed	2022/09/29 07:51

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