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	caadria2018_215
id	caadria2018_215
authors	Raspall, Felix and Banon, Carlos
year	2018
title	3D Printing Architecture: Towards Functional Space Frames
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 215-224
doi	https://doi.org/10.52842/conf.caadria.2018.1.215
summary	In architecture, the use of Additive Manufacturing (AM) technologies has been primarily limited to the production of scale models. Its application for functional buildings components has been typically undermined by the long production time, elevated cost to manufacture parts and the low mechanical properties of 3D printed components. As AM becomes faster, cheaper and stronger, opportunities for architectures that make creative use of AM to produce functional architectural pieces are emerging. In this paper, we propose and discuss the application of AM in complex space frames and the theoretical and practical implications. Three built projects by the authors support our hypothesis that AM has a clear application in architecture and that space frames constitutes a promising structural typology. In addition, we investigate how AM can be used to resolve architectural systems beyond structure and enclosure, such as data and power transmission. The paper presents background research and our contribution to the digital design tools, the manufacturing and assembly processes, and the analysis of the performances of the building components and the final built pieces.
keywords	Additive Manufacturing; Digital Design; Space frames
series	CAADRIA
email
last changed	2022/06/07 08:00

_id	ecaade2018_164
id	ecaade2018_164
authors	Chang, Mei-Chih, Buš, Peter, Tartar, Ayça, Chirkin, Artem and Schmitt, Gerhard
year	2018
title	Big-Data Informed Citizen Participatory Urban Identity Design
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 669-678
doi	https://doi.org/10.52842/conf.ecaade.2018.2.669
summary	The identity of an urban environment is important because it contributes to self-identity, a sense of community, and a sense of place. However, under present-day conditions, the identities of expanding cities are rapidly deteriorating and vanishing, especially in the case of Asian cities. Therefore, cities need to build their urban identity, which includes the past and points to the future. At the same time, cities need to add new features to improve their livability, sustainability, and resilience. In this paper, using data mining technologies for various types of geo-referenced big data and combine them with the space syntax analysis for observing and learning about the socioeconomic behavior and the quality of space. The observed and learned features are identified as the urban identity. The numeric features obtained from data mining are transformed into catalogued levels for designers to understand, which will allow them to propose proper designs that will complement or improve the local traditional features. A workshop in Taiwan, which focuses on a traditional area, demonstrates the result of the proposed methodology and how to transform a traditional area into a livable area. At the same time, we introduce a website platform, Quick Urban Analysis Kit (qua-kit), as a tool for citizens to participate in designs. After the workshop, citizens can view, comment, and vote on different design proposals to provide city authorities and stakeholders with their ideas in a more convenient and responsive way. Therefore, the citizens may deliver their opinions, knowledge, and suggestions for improvements to the investigated neighborhood from their own design perspective.
keywords	Urban identity; unsupervised machine learning; Principal Component Analysis (PCA); citizen participated design; space syntax
series	eCAADe
email
last changed	2022/06/07 07:56

_id	sigradi2018_1348
id	sigradi2018_1348
authors	Bertuzzi, Juan Pablo; Chiarella, Mauro
year	2018
title	Gamification of Educational Environments through Virtual Reality Platforms
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 975-979
summary	This paper proposes the experimentation of new information and communication technologies through the development of an experimental and interactive virtual reality application, where educational content and game mechanics are incorporated, in order to generate interactivity within a digital 3D space and promote academic exchange in an innovative way. This project aims to the exploration of an open 3D digital environment, where the modeling is inspired by some sector of the physical space of the authors’ university, compatible for the incorporation of smart objects, avatars and a dialogue/activities system that deals with several educational topics.
keywords	Avatar; Gamification; Hybrid worlds; Techno-politics; Virtual reality
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	ijac201816205
id	ijac201816205
authors	Faircloth,Billie; Ryan Welch, Martin Tamke, Paul Nicholas, Phil Ayres, Yulia Sinke, Brandon Cuffy and Mette Ramsgaard Thomsen
year	2018
title	Multiscale modeling frameworks for architecture: Designing the unseen and invisible with phase change materials
source	International Journal of Architectural Computing vol. 16 - no. 2, 104-122
summary	Multiscale design and analysis models promise a robust, multimethod, multidisciplinary approach, but at present have limited application during the architectural design process. To explore the use of multiscale models in architecture, we develop a calibrated modeling and simulation platform for the design and analysis of a prototypical envelope made of phase change materials. The model is mechanistic in nature, incorporates material-scale and precinct scale-attributes, and supports the design of two- and three-dimensional phase change material geometries informed by heat transfer phenomena. Phase change material behavior, in solid and liquid states, dominates the visual and numerical evaluation of the multiscale model. Model calibration is demonstrated using real-time data gathered from the prototype. Model extensibility is demonstrated when it is used by designers to predict the behavior of alternate envelope options. Given the challenges of modeling phase change material behavior in this multiscale model, an additional multiple linear regression model is applied to data collected from the physical prototype in order to demonstrate an alternate method for predicting the melting and solidification of phase change materials.
keywords	Multiscale modeling, mechanistic modeling, heat transfer modeling, phase change materials, model validation
series	journal
email
last changed	2019/08/07 14:03

_id	acadia20_382
id	acadia20_382
authors	Hosmer, Tyson; Tigas, Panagiotis; Reeves, David; He, Ziming
year	2020
title	Spatial Assembly with Self-Play Reinforcement Learning
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. 382-393.
doi	https://doi.org/10.52842/conf.acadia.2020.1.382
summary	We present a framework to generate intelligent spatial assemblies from sets of digitally encoded spatial parts designed by the architect with embedded principles of prefabrication, assembly awareness, and reconfigurability. The methodology includes a bespoke constraint-solving algorithm for autonomously assembling 3D geometries into larger spatial compositions for the built environment. A series of graph-based analysis methods are applied to each assembly to extract performance metrics related to architectural space-making goals, including structural stability, material density, spatial segmentation, connectivity, and spatial distribution. Together with the constraint-based assembly algorithm and analysis methods, we have integrated a novel application of deep reinforcement (RL) learning for training the models to improve at matching the multiperformance goals established by the user through self-play. RL is applied to improve the selection and sequencing of parts while considering local and global objectives. The user’s design intent is embedded through the design of partial units of 3D space with embedded fabrication principles and their relational constraints over how they connect to each other and the quantifiable goals to drive the distribution of effective features. The methodology has been developed over three years through three case study projects called ArchiGo (2017–2018), NoMAS (2018–2019), and IRSILA (2019-2020). Each demonstrates the potential for buildings with reconfigurable and adaptive life cycles.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2018_394
id	ecaade2018_394
authors	Rubinowicz, Pawe³
year	2018
title	Application of Available Digital Resources for City Visualisation and Urban Analysis
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 595-602
doi	https://doi.org/10.52842/conf.ecaade.2018.2.595
summary	The article presents two methods for generating 3D city models. The methods are based on LiDAR and GIS-2D data. The first one enables to create automatically simplified city models that include buildings in the LoD1 standard (excluding roof geometry). The second one provides for generating precise 3D city models including all components of the city space, such as buildings, tall green, city infrastructure. This involves direct transformation of DSM (Digital Surface Model) data as mesh-3D. The analyses presented are based on data available in Poland (in particular GIS). The results of the study can be easily applied for analysing other cities in Europe and elsewhere in the world. The article presents possibilities of using such models to urban analyses. The methods and figures included in the article have been developed using C++ software developed by the author.
keywords	airborne LiDAR scanning; Digital Surface Model; BDOT 10k; city visualization; digital urban analysis; urban design
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2018_170
id	ecaade2018_170
authors	Shahsavari, Fatemeh, Koosha, Rasool, Vahid, Milad R., Yan, Wei and Clayton, Mark
year	2018
title	Towards the Application of Uncertainty Analysis in Architectural Design Decision-Making - A Probabilistic Model and Applications
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 295-304
doi	https://doi.org/10.52842/conf.ecaade.2018.1.295
summary	To this day, proper handling of uncertainties -including unknown variables in primary stages of a design, an actual climate data, occupants' behavior, and degradation of material properties over the time- remains as a primary challenge in an architectural design decision-making process. For many years, conventional methods based on the architects' intuition have been used as a standard approach dealing with uncertainties and estimating the resulting errors. However, with buildings reaching great complexity in both their design and material selections, conventional approaches come short to account for ever-existing but unpredictable uncertainties and prove incapable of meeting the growing demand for precise and reliable predictions. This study aims to develop a probability-based framework and associated prototypes to employ uncertainty analysis and sensitivity analysis in architectural design decision-making. The current research explores an advanced physical model for thermal energy exchange characteristics of a hypothetical building and uses it as a test case to demonstrate the proposed probability-based analysis framework. The proposed framework provides a means to employ uncertainty and sensitivity analysis to improve reliability and effectiveness in a buildings design decision-making process.
keywords	Probability-based design decision; uncertainty analysis; sensitivity analysis; building energy consumption model
series	eCAADe
email
last changed	2022/06/07 07:57

_id	caadria2018_056
id	caadria2018_056
authors	Chirkin, Artem, Pishniy, Maxim and Sender, Arina
year	2018
title	Generilized Visibility-Based Design Evaluation Using GPU
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 483-492
doi	https://doi.org/10.52842/conf.caadria.2018.2.483
summary	Visibility plays an important role in perception and use of an urban design, and thus often becomes a target of design analysis. This work presents a fast method of evaluating various visibility-based design characteristics, such as isovists or insolation exploiting the GPU rendering pipeline and compute shaders. The proposed method employs a two-stage algorithm on each point of interest. First, it projects the visible space around a vantage point onto an equirectangular map. Second, it folds the map using a flexibly defined function into a single value that is associated with the vantage point. Being executed on a grid of points in a 3D scene, it can be visualized as a heat map or utilized by another algorithm for further design analysis. The developed system provides nearly real-time analysis tools for an early-stage design process to a broad audience via web services.
keywords	design analysis; design evaluation; GPU; isovist; insolation
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	ecaade2018_121
id	ecaade2018_121
authors	Dimopoulos, Georgios
year	2018
title	Museum and Cultural Heritage in the World of Digital Technology
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 199-204
doi	https://doi.org/10.52842/conf.ecaade.2018.2.199
summary	Museum as a cultural epiphenomenon reflects all changes occurring in cultural, political, economic and technological fields. Nowadays, as new technologies bring upon significant changes in the way we perceive space and time and open up new ways in understanding the world and all things, the museum is perceived as a network of potential things, a kind of web intersection that connects objective with digital reality. New technologies within the museum's space form a new relationship between the public and the cultural heritage objects, and offers new approach perspectives by reinforcing revisionist trends as far as the role and importance of the museum.
keywords	metanarratives; digital museum; visual reality
series	eCAADe
email
last changed	2022/06/07 07:55

_id	acadia18_226
id	acadia18_226
authors	Glynn, Ruairi; Abramovic, Vasilija; Overvelde, Johannes T. B.
year	2018
title	Edge of Chaos. Towards intelligent architecture through distributed control systems based on Cellular Automata.
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 226-231
doi	https://doi.org/10.52842/conf.acadia.2018.226
summary	From the “Edge of Chaos”, a mathematical space discovered by computer scientist Christopher Langton (1997), compelling behaviors originate that exhibit both degrees of organization and instability creating a continuous dance between order and chaos. This paper presents a project intended to make this complex theory tangible through an interactive installation based on metamaterial research which demonstrates emergent behavior using Cellular Automata (CA) techniques, illustrated through sound, light and motion. We present a multi-sensory narrative approach that encourages playful exploration and contemplation on perhaps the biggest questions of how life could emerge from the disorder of the universe. We argue a way of creating intelligent architecture, not through classical Artificial Intelligence (AI), but rather through Artificial Life (ALife), embracing the aesthetic emergent possibilities that can spontaneously arise from this approach. In order to make these ideas of emergent life more tangible we present this paper in four integrated parts, namely: narrative, material, hardware and computation. The Edge of Chaos installation is an explicit realization of creating emergent systems and translating them into an architectural design. Our results demonstrate the effectiveness of a custom CA for maximizing aesthetic impact while minimizing the live time of architectural kinetic elements.
keywords	work in progress, complexity, responsive architecture, distributed computing, emergence, installation, interactive architecture, cellular automata
series	ACADIA
type	paper
email
last changed	2022/06/07 07:51

_id	ecaade2018_257
id	ecaade2018_257
authors	Guo, Zhe, Yin, Hao and Yuan, Philip F.
year	2018
title	Spatial Redesign Method Based on Behavior Data Visualization System - UWB interior positioning technology based office space redesign method research
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 577-584
doi	https://doi.org/10.52842/conf.ecaade.2018.2.577
summary	There is a typical symbiotic relationship between behavior and space. Design and evaluation of space are also inseparable from people's behavioral needs. Therefore, the study of behavior patterns can be regarded as the process of exploring the relationship between human and space. Traditional behavioral research lacks precise micro-individual data and analytical tools to express complex environments, and is more inclined to macro and qualitative static analysis. With the maturity of indoor positioning technology, the use of big data as a medium to quantitatively study the laws of behavior has gradually penetrated into the micro-level of indoor space. This paper begins with a brief introduction of the behavioral performance research process in history. The paper then describes the method that constructs the observation, quantification and visualization process of behavior data by using UWB positioning technology and visualization implementation system through an on-site experiment of office space. The last part of this paper discusses the establishment of spatial redesign method by mining the behavior data, and translating the results into spatial attributes.
keywords	behavior data visualization; UWB interior positioning technology; data mining; spatial redesign method
series	eCAADe
email
last changed	2022/06/07 07:50

_id	ecaade2018_k02
id	ecaade2018_k02
authors	Ingarden, Krzysztof
year	2018
title	Between Critical Regionalism, Neo-vernacularism and Localised Modernism - Three projects of Ingarden & Ewy.
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 17-24
doi	https://doi.org/10.52842/conf.ecaade.2018.1.017
summary	In the 70s-80s Kenneth Frampton, defined the phenomenon of "critical regionalism" in contemporary architecture. He pointed out that the most interesting objects arise at the threshold between local and global architecture. These are objects that are open to modern technology in various fields of science, and at the same time remain rooted in the local tradition of building , thus to create a space that is approved and understood locally. The article presents two examples of buildings (the Ma³opolska Garden of Arts in Krakow and the Polish Pavilion EXPO 2005 Aichi in Japan, Europe - Far East Gallery in Krakow) that look for their individual contextual sources, turn to experiments with traditional materials, try to find lost threads of handicraft tradition, and at the same time reach for modern technologies with respect for the natural and cultural environment.
keywords	wicker facade; building material experiments; experimental architecture; Polish architecture
series	eCAADe
email
last changed	2022/06/07 07:50

_id	caadria2018_018
id	caadria2018_018
authors	Lin, Yuming and Huang, Weixin
year	2018
title	Social Behavior Analysis in Innovation Incubator Based on Wi-Fi Data - A Case Study on Yan Jing Lane Community
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 197-206
doi	https://doi.org/10.52842/conf.caadria.2018.2.197
summary	Innovation incubator is an emerging kind of office space which focuses on promoting social interaction in the space. From the perspective of environmental behavior, the complex relationship between a particular space form and the social interactions is well worth exploring. Based on Wi-Fi positioning data, this paper examined the spatial and temporal behavior in innovation incubators. Using the interdisciplinary social networks analysis, this paper further analyzed the social interactions in this space, mining out social structures such as gathering and community, and analyzing the relationship between these structures and spaces. The result shows that human behavior in innovation incubators has some interesting characteristics, and the social structures are closely linked with the functional area of innovation incubator. This paper provides a new perspective and introduces interdisciplinary approaches to study the social behaviors in a particular space form, which has great potential in future research.
keywords	environmental behavior study; social behavior analysis; innovation incubator; Wi-Fi IPS; social network
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	ijac201816403
id	ijac201816403
authors	Pantazis, Evangelos and David Gerber
year	2018
title	A framework for generating and evaluating façade designs using a multi-agent system approach
source	International Journal of Architectural Computing vol. 16 - no. 4, 248-270
summary	Digital design paradigms in architecture have been rooted in representational models which are geometry centered and therefore fail to capture building complexity holistically. Due to a lack of computational design methodologies, existing digital design workflows do little in predicting design performance in the early design stage and in most cases analysis and design optimization are done after a design is fixed. This work proposes a new computational design methodology, intended for use in the area of conceptual design of building design. The proposed methodology is implemented into a multi-agent system design toolkit which facilitates the generation of design alternatives using stochastic algorithms and their evaluation using multiple environmental performance metrics. The method allows the user to probabilistically explore the solution space by modeling the design parameters’ architectural design components (i.e. façade panel) into modular programming blocks (agents) which interact in a bottom-up fashion. Different problem requirements (i.e. level of daylight inside a space, openings) described into agents’ behavior allow for the coupling of data from different engineering fields (environmental design, structural design) into the a priori formation of architectural geometry. In the presented design experiment, a façade panel is modeled into an agent-based fashion and the multi-agent system toolkit is used to generate and evolve alternative façade panel configurations based on environmental parameters (daylight, energy consumption). The designer can develop the façade panel geometry, design behaviors, and performance criteria to evaluate the design alternatives. The toolkit relies on modular and functionally specific programming modules (agents), which provide a platform for façade design exploration by combining existing three-dimensional modeling and analysis software.
keywords	Generative design, multi-agent systems, façade design, agent-based modeling, stochastic search
series	journal
email
last changed	2019/08/07 14:04

_id	caadria2018_337
id	caadria2018_337
authors	Tang, Ming
year	2018
title	From Agent to Avatar - Integrate Avatar and Agent Simulation in the Virtual Reality for Wayfinding
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 503-512
doi	https://doi.org/10.52842/conf.caadria.2018.1.503
summary	This paper describes a study of using immersive virtual reality (VR) technology to analyze user behavior related to wayfinding, and the integration of the technology with the multi-agent simulation and space syntax. Starting with a discussion on the problems of current agent-based simulation (ABS) and space syntax in constructing the micro-level interactions for wayfinding, the author focuses on how the cognitive behavior and spatial knowledge can be achieved with a player controlled avatar in response to other computer controlled agents in a virtual building. This approach starts with defining the proposed Avatar Agent VR system (AAVR), which is used for capturing a player's movement in real time and form the spatial data, then visualizing the data with various representation methods. Combined with space syntax and ABS, AAVR is used to examine various players' wayfinding behaviors related to gender, spatial recognition, and spatial features such as light, sound, material, and other architectural elements.
keywords	Virtual Reality; wayfinding simulation; agent; avatar; multi-agent simulation; space syntax
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2018_316
id	caadria2018_316
authors	Yan, Chao, Zhang, Yunyu, Yuan, Philip F. and Yao, Jiawei
year	2018
title	Virtual Motion - Shifting Perspective as an Instrument for Geometrical Construction
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 471-480
doi	https://doi.org/10.52842/conf.caadria.2018.2.471
summary	From the invention of projection to the emergence of digital technology, there's a clear correspondences among the transformations of visual representation paradigm in art, the developments of design instrument in architecture, and the human perception of time/space. Base on the examination of this particular historical trajectory, this paper focuses the working mechanism of shifting perspective as an alternative design instrument to explore the possibility of embedding time and motion into static form in digital age. Firstly, the paper reviews how the shifting perspective was introduced to represent space in modern western painting and photography. Then based on the research on shifting perspective, the paper develops a design tool, which would be able to translate motion into the particular geometrical feature of a generated 3D object. In the end, the paper brings further discussions about the formal and spatial effects brought by this new tool, and its potential to incorporate the perceptive image of human being into design process.
keywords	Shape Study; Projective Geometry; Shifting Perspective; Motion; Time Dimension
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	acadia18_186
id	acadia18_186
authors	Yin, Hao; Guo, Zhe; Zhao, Yao; Yuan, Philip F.
year	2018
title	Behavior Visualization System Based on UWB Positioning Technology
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 186-195
doi	https://doi.org/10.52842/conf.acadia.2018.186
summary	This paper takes behavioral performance as a starting point and uses ultra-wideband (UWB) positioning technology and visualization methods to accurately collect and present in-place behavioral data so as to explore the behavioral characteristics of space users. In this process, we learned the observation, quantification, and presentation of behavioral data from the evolution of behavioral research. Secondly, after a comparative analysis of four types of indoor positioning technologies, we selected UWB-positioning technology and the JavaScript programming language as the development tools for a behavior visualization system. Next, we independently developed the behavior visualization system, which required a deep understanding of the working principle of UWB technology and the visualization method of the JavaScript programming language. Finally, the system was applied to an actual space, collecting and presenting users’ behavioral characteristics and habits in order to verify the applicability of the system in the field of behavioral research.
keywords	full paper, design tools, ai + machine learning, big data, behavioral performance + simulation
series	ACADIA
type	paper
email
last changed	2022/06/07 07:57

_id	caadria2018_211
id	caadria2018_211
authors	Zhao, Yao, Guo, Zhe, Yin, Hao, Yao, Jiawei and Yuan, Philip F.
year	2018
title	Behavioral Data Analysis and Visualization System Base on UWB Interior Positioning Technology
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 217-226
doi	https://doi.org/10.52842/conf.caadria.2018.2.217
summary	The behavioral patterns of human in buildings influence the rational setting of space and function dramatically. However, due to the lack of data acquisition methods and data accuracy, big data analysis and visualization research in the microscopic aspects of indoor space is hampered. With the maturity of indoor positioning technology, UWB (Ultra Wideband) positioning technology based on narrow pulse has the characteristics of high transmission rate, low transmit power and strong penetrating ability, which provides more accurate results for the behavior data acquisition in indoor space. In this research, the big data thinking has been introduced into the behavioral performance analysis process. Therefore, data acquisition, data storage and management, behavioral data visualization and machine learning algorithms are integrated into a set of behavioral data analysis and visualization system, to quantitative research the behavioral characteristics of visitors in the exhibition hall by the on-site experiment .
keywords	UWB interior positioning technology; Behavior Data Visualization; on-site experiment
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	ecaade2018_158
id	ecaade2018_158
authors	Zhou, Jing, Klumpner, Hubert and Brillembourg, Afredo
year	2018
title	The Dynamic Geometric Network Model for Representing Verticalized Urban Environment and its Generation
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 525-530
doi	https://doi.org/10.52842/conf.ecaade.2018.1.525
summary	Against the background of urbanization and the fast growth of population in big cities, there will be more and more high-rises emerged in the future. In some big cities, the various layers of public transpiration networks such as metro systems also played an essential role in the urban life. In the verticalized urban environment, the complexity of the multi-layers space system connected by various horizontal and vertical connections have been beyond people's cognition. The boundaries between private space and public space, outdoor-space and indoor-space have already blurred. The graph theory based urban spatial analysis approaches are adopted in urban studies to tackle with the urban complexity issues. However, at present, most of the methods proposed are specializing in open urban spaces, and they cannot describe the three-dimensional completely and accurately. Therefore, in this paper, a new graph theory based representation method, the Dynamic Geometric Network Model, which adapted to the verticalized urban environment will be proposed. And the approach of how to automatically generate such a representation model according to the urban layout will also be introduced.
keywords	Graph Model Representation; Graph Model Generation; Verticalized Urban Environment
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ijac201816406
id	ijac201816406
authors	As, Imdat; Siddharth Pal and Prithwish Basu
year	2018
title	Artificial intelligence in architecture: Generating conceptual design via deep learning
source	International Journal of Architectural Computing vol. 16 - no. 4, 306-327
summary	Artificial intelligence, and in particular machine learning, is a fast-emerging field. Research on artificial intelligence focuses mainly on image-, text- and voice-based applications, leading to breakthrough developments in self-driving cars, voice recognition algorithms and recommendation systems. In this article, we present the research of an alternative graph- based machine learning system that deals with three-dimensional space, which is more structured and combinatorial than images, text or voice. Specifically, we present a function-driven deep learning approach to generate conceptual design. We trained and used deep neural networks to evaluate existing designs encoded as graphs, extract significant building blocks as subgraphs and merge them into new compositions. Finally, we explored the application of generative adversarial networks to generate entirely new and unique designs.
keywords	Architectural design, conceptual design, deep learning, artificial intelligence, generative design
series	journal
email
last changed	2019/08/07 14:04

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