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	ecaade2021_040
id	ecaade2021_040
authors	Zhan, Qiang, Wu, Hao, Zhang, Liming, Yuan, Philip F. and Gao, Tianyi
year	2021
title	3D Concrete Printing with Variable Width Filament
doi	https://doi.org/10.52842/conf.ecaade.2021.2.153
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 153-160
summary	Traditional mold-based concrete construction methods are inefficient, poor quality, and labor-intensive. Concrete 3D printing technology is expected to replace traditional methods as an emerging intelligent construction method due to its flexible, automatic, fast, and mold-free features. Concrete 3D printing is a method by extruding and selectively laminating construction materials onto a specific path, relying on fine-grained control of the printing material and the printing device. However, the maximum printing resolution is limited by the width of the toolpath. Filament width and printing resolution are two main factors that need to balance. In this paper, a variable width printing method is proposed using the active nozzle speed control method. The width of the print path can be adjusted according to the model details. A width control algorithm is proposed. The general workflow of variable width printing, including model preparation, toolpath planning, robotic fabrication, is also introduced, and a concrete bench is printed for experimental validation. The result shows great application potential for surface decoration and structural reinforcement. The efficiency, feasibility, and problems encountered in printing are analyzed and summarized.
keywords	3D concrete printing; variable filament width; robotic fabrication
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ecaade2021_145
id	ecaade2021_145
authors	Wu, Shaoji
year	2021
title	The Cognition of Residential Convenience Areas Based on Street View Image's Entropy and Complexity - Beijing as an example
doi	https://doi.org/10.52842/conf.ecaade.2021.1.545
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 545-554
summary	This paper quantifies the convenience of living in Beijing by calculating street view image's two inherent properties, entropy and complexity. The image's entropy H can measure the degree of disorder in its pixel arrangement, and the complexity C can measure the "structure" of its pixel arrangement. The study methodology can be divided into four steps as follows. (1) 20,194 Baidu Street View (BSV) images of random geographic coordinates within the study area are crawled as the dataset. (2) Calculate the entropy and complexity of each image separately and plot the entropy-complexity plane. (3) Clustering of data points on the entropy-complexity plane using the K-means algorithm. (4) Analysis of the geographical distribution of the different cluster's data points. The following two conclusions can be drawn from this research. Firstly, low entropy and high complexity street view images can characterize built-up urban areas where the sky occupies a large area, and its buildings are usually more uniform. Conversely, high-entropy and low-complexity images can characterize areas with the more complex built-up environment. Secondly, street view images representing high residential convenience areas in Beijing are characterized by high entropy and low complexity.
keywords	Street View Image; Entropy; Complexity; Residential Convenience
series	eCAADe
email
last changed	2022/06/07 07:57

_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	caadria2021_135
id	caadria2021_135
authors	Mo, Yichen, Li, Biao, Wu, Jiaqian and Tang, Peng
year	2021
title	Archibase:A City-Scale Spatial Database for Architectural Research
doi	https://doi.org/10.52842/conf.caadria.2021.2.519
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. 519-528
summary	The explosion of geolocation data and data-based algorithms has the potential to analyze sophisticated urban areas and foster a more robust urban model. To better collect and organize the city data, this paper introduces a city-scale spatial database called ArchiBase, built upon Java and web APIs of open source databases. With hierarchical, layered, and regularly-updated spatial data defined by relation table, ArchiBase allows indexing and geometric searching of the entire city and supports applications and extensions for different cities. This research is from a graduate urban design course aiming to renew Prato, an industrial city in Italy. ArchiBase first creates the base version of Prato from multiple data sources, then illustrates the usability and expandability through three simple applications. The use of ArchiBase can better interpret future cities and demonstrate the unparalleled opportunities of collaboration and remote work for urban researchers and designers.
keywords	Spatial Database; Data Model; Urban Design; Design Support Tools
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	caadria2021_044
id	caadria2021_044
authors	Wu, Shaoji
year	2021
title	3D Space Resilience Analysis of Commercial Complex - Beijing APM as an Example
doi	https://doi.org/10.52842/conf.caadria.2021.2.457
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. 457-466
summary	Commercial complexes have played an increasingly important role in contemporary cities. Due to the occurrence of crowded people or equipment overhauls, some paths in a commercial complex may become impassable, which can be seen as disruptions to its spatial system. This paper provides a practical method to quantify the spatial resilience of a commercial complex taking Beijing APM as an example. This study can be divided into the following three steps. First, transforming the realistic spatial path system to a directed network model. Second, using topological, metric, and angular distance as edge weight to calculate the centrality and present its distribution. Third, using two disruption processes, randomized and attractor-guided strategy, evaluates the spatial networks resilience. There are three conclusions from this study. The first one is the process of disruption is non-linear, and there is a phase transition process when it reaches the critical threshold. The second one is the most efficient disruption method is the topological BC attractor-guided strategy. The last one is the resilience of a commercial complex, whose 3D spatial networks resilience is lower than the 2D spatial networks resilience by comparison with Duan and Lus (2013) study.
keywords	Resilience; Robustness; Network Secience; Commercial Complex
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	caadria2021_051
id	caadria2021_051
authors	Wu, Shaoji
year	2021
title	Hyperlinking Mechanisms in Commercial Complex - An Example of The Spatial Network in Taikoo Li Sanlitun,Beijing
doi	https://doi.org/10.52842/conf.caadria.2021.2.509
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. 509-518
summary	Commercial complexes play an important role in contemporary cities, with elevators, escalators, and other paths on which people do not take natural movement in it. We consider them as spatial hyperlinking paths, which is originated from the webs hyperlinking technology. This paper studies the path network system in Taikoo Li, Sanlitun, Beijing, in three steps. Firstly, The path system is transformed into a network model, and its spatial network distribution is characterized using betweenness centrality. Secondly, a deep learning approach is used to measure the peoples flow at the selected 102 observation points. Then a multiple linear regression(MLR) analysis is conducted using the flow data as dependent variable. And there are 7 independent variables in three types, including betweenness centrality C, H1 and H2 that related to spatial hyperlinks, and B1, F1, F2, and F3 that related to floors. Thirdly, analyzing the MLR model.There are two conclusions. First, using multiple independent variables is better than one variable to fit the peoples flow distribution using the regression model. Second, escalators have the effect of enhancing peoples flow, while elevators have the opposite effect.
keywords	Spatial Hyperlink; 3D spatial networks; Commercial Complex
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	caadria2021_104
id	caadria2021_104
authors	Wu, Yihao, Wu, Liuqing and Li, Danrui
year	2021
title	Quantification and Typology Methods for Spatial Regionalism - From Traditional Residence to Modern Chinese-style House Design
doi	https://doi.org/10.52842/conf.caadria.2021.2.081
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. 81-90
summary	The cognition of Regionalism in architecture has transferred from the surface to the essence, from the building appearance to space. Modern Chinese-style houses have sprung up all over the country these years but always fail to find back the main characteristic of space in traditional residences. Therefore, the paper focuses on the question of 'what are the main features of the space in traditional Chinese residence', proposing 5 spatial quantification indexes for residential space and a score evaluation method to measure Chinese-style matching degree (Mch) with the help of a modified graph map generation method. 10 traditional Chinese houses and 16 built-up modern Chinese-style houses are taken as samples for empirical research. The paper also puts forward a hypothesis testing model for architects, which can quickly check the Chinese-style matching degree of the scheme and strongly support the design process.
keywords	spatial regionalism; spatial quantification; Chinese-style matching degree; typology; traditional Chinese residence
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	ecaade2021_021
id	ecaade2021_021
authors	Wu, Shaoji
year	2021
title	Approach to Auto-Recognition of Human Trajectory in Squares using Machine Learning-Based Methods - An application of the Yolo-v3 and the DeepSORT algorithm
doi	https://doi.org/10.52842/conf.ecaade.2021.2.361
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 361-370
summary	The square plays an essential role in contemporary urban space. Researchers had explored many methods to record the distribution of people in it. However, few of them study this issue using fine data. This study proposes a method recognized of the human trajectory using a machine learning-based computer vision algorithm, which can be divided into the following three steps. (1) the acquisition of video and the method of obtaining human trajectory. (2) cleaning of the raw human trajectory data. (3) to visualize the trajectory data. Based on the existing methodology, we take three example squares within the Tianjin University campus to illustrate it. We use trajectory map, people distribution heat map, and people walking speed heat map as visualization methods. The following two conclusions are drawn from the three examples. First, it is found that the human trajectory data derived from this method is more accurate when the UAV is flying at a lower altitude. Second, this study demonstrates that a passive Real Time Locating Systems (RTLS), based on a deep learning computer vision algorithm, can effectively obtain human trajectory data in a square. Third, this paper proves that the visualization method we used is effective.
keywords	Human Trajectory; Squares; Machine Learning; DeepSORT; Yolo-v3; UAV
series	eCAADe
email
last changed	2022/06/07 07:57

_id	cdrf2021_340
id	cdrf2021_340
authors	Hao Wu, Ming Lu, XinJie Zhou, and Philip F. Yuan
year	2021
title	Application of 6-Dof Robot Motion Planning in Fabrication
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_31
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
summary	. In practical robotic construction work, such as laying bricks and painting walls, obstructing objects are encountered and motion planning needs to be done to prevent collisions. This paper first introduces the background and results of existing work on motion planning and describes two of the most mainstream methods, the potential field method, and the sampling-based method. How to use the probabilistic route approach for motion planning on a 6-axis robot is presented. An example of a real bricklaying job is presented to show how to obtain point clouds and increase the speed of computation by customizing collision and ignore calculations. Several methods of smoothing paths are presented and the paths are re-detected to ensure the validity of the paths. Finally, the flow of the whole work is presented and some possible directions for future work are suggested. The significance of this paper is to confirm that a relatively fast motion planning can be achieved by an improved algorithmic process in grasshopper.
series	cdrf
email
last changed	2022/09/29 07:53

_id	cdrf2021_231
id	cdrf2021_231
authors	Andrea Macruz, Ernesto Bueno, Gustavo G. Palma, Jaime Vega, Ricardo A. Palmieri, and Tan Chen Wu
year	2021
title	Measuring Human Perception of Biophilically-Driven Design with Facial Micro-expressions Analysis and EEG Biosensor
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_22
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
summary	This paper investigates the role technology and neuroscience play in aiding the design process and making meaningful connections between people and nature. Using two workshops as a vehicle, the team introduced advanced technologies and Quantified Self practices that allowed people to use neural data and pattern recognition as feedback for the design process. The objective is to find clues to natural elements of human perception that can inform the design to meet goals for well-being. A pattern network of geometric shapes that achieve a higher level of monitored meditation levels and point toward a positive emotional valence is proposed. By referencing biological forms found in nature, the workshops utilized an algorithmic process that explored how nature can influence architecture. To measure the impact, the team used FaceOSC for capture and an Artificial Neural Network for micro-expression recognition, and a MindWave sensor manufactured by NeuroSky, which documented the human response further. The methodology allowed us to establish a boundary logic, ranking geometric shapes that suggested positive emotions and a higher level of monitored meditation levels. The results pointed us to a deeper level of understanding relative to geometric shapes in design. They indicate a new way to predict how well-being factors can clarify and rationalize a more intuitive design process inspired by nature.
series	cdrf
email
last changed	2022/09/29 07:53

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