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

PDF papers
References

Hits 1 to 20 of 581

Reformat results as: short short into frame detailed detailed into frame

_id	caadria2021_305
id	caadria2021_305
authors	Keshavarzi, Mohammad, Afolabi, Oladapo, Caldas, Luisa, Yang, Allen Y. and Zakhor, Avideh
year	2021
title	GenScan: A Generative Method for Populating Parametric 3D Scan Datasets
doi	https://doi.org/10.52842/conf.caadria.2021.1.091
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 91-100
summary	The availability of rich 3D datasets corresponding to the geometrical complexity of the built environments is considered an ongoing challenge for 3D deep learning methodologies. To address this challenge, we introduce GenScan, a generative system that populates synthetic 3D scan datasets in a parametric fashion. The system takes an existing captured 3D scan as an input and outputs alternative variations of the building layout including walls, doors, and furniture with corresponding textures. GenScan is fully automated system that can also be manually controlled by a user through an assigned user interface. Our proposed system utilizes a combination of a hybrid deep neural network and a parametrizer module to extract and transform elements of a given 3D scan. GenScan takes advantage of style transfer techniques to generate new textures for the generated scenes. We believe our system would facilitate data augmentation to expand the currently limited 3D geometry datasets commonly used in 3D computer vision, generative design and general 3D deep learning tasks.
keywords	Computational Geometry; Generative Modeling; 3D Manipulation; Texture Synthesis
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	ascaad2021_051
id	ascaad2021_051
authors	Marey, Ahmed; Ahmed Barakat
year	2021
title	The Customized Habitat: An Exploration of Personality-Induced Mass Customization through Shape Grammars
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 450-464
summary	Despite its economic efficiency, mass production fails to appeal to the very people it is meant to accommodate. Mass customization, on the other hand, allows for the consideration of personal differences. Nonetheless, it is a process that requires more time, effort, and resources, hence the reliance upon mass production. Previous research showed a potential impact of personality on perceptions of the architectural space. The research investigates the applicability of mass customization in the architectural domain using MBTI (Myers–Briggs Type Indicator). Using MBTI, we surveyed 187 individuals to investigate the correlations between personal traits (mind, energy, nature, tactics, and identity) and preferences of architectural aspects (exposure, circulation, view, plan layout, and interior colors). The survey draws on how multiple fields have successfully applied MBTI to increase the value they provide. The findings present a novel contribution to architectural research as they demonstrate an actual connection between MBTI personality patterns and architectural preferences. In addition to several interaction patterns, our results strongly support an effect of the mind aspect on view preferences as well as an effect of energy on three architectural aspects: view, plan layout and interior colors. Shape grammars were then created, based upon these correlations, in order to provide a basis for optimized mass customization. The optimization/automation of this process will result in a more habitable space in which neither personality differences nor valuable resources are sacrificed.
series	ASCAAD
email
last changed	2021/08/09 13:11

_id	cdrf2021_242
id	cdrf2021_242
authors	Waishan Qiu , Wenjing Li, Xun Liu, and Xiaokai Huang
year	2021
title	Subjectively Measured Streetscape Qualities for Shanghai with Large-Scale Application of Computer Vision and Machine Learning
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_23
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
summary	Recently, many new studies emerged to apply computer vision (CV) to street view imagery (SVI) dataset to objectively extract the view indices of various streetscape features such as trees to proxy urban scene qualities. However, human perceptions (e.g., imageability) have a subtle relationship to visual elements which cannot be fully captured using view indices. Conversely, subjective measures using survey and interview data explain more human behaviors. However, the effectiveness of integrating subjective measures with SVI dataset has been less discussed. To address this, we integrated crowdsourcing, CV, and machine learning (ML) to subjectively measure four important perceptions suggested by classical urban design theory. We first collected experts’ rating on sample SVIs regarding the four qualities which became the training labels. CV segmentation was applied to SVI samples extracting streetscape view indices as the explanatory variables. We then trained ML models and achieved high accuracy in predicting the scores. We found a strong correlation between predicted complexity score and the density of urban amenities and services Point of Interests (POI), which validates the effectiveness of subjective measures. In addition, to test the generalizability of the proposed framework as well as to inform urban renewal strategies, we compared the measured qualities in Pudong to other five renowned urban cores worldwide. Rather than predicting perceptual scores directly from generic image features using convolution neural network, our approach follows what urban design theory suggested and confirms various streetscape features affecting multi-dimensional human perceptions. Therefore, its result provides more interpretable and actionable implications for policymakers and city planners.
series	cdrf
last changed	2022/09/29 07:53

_id	ijac202119101
id	ijac202119101
authors	Budig, Michael; Oliver Heckmann, Markus, Hudert, Amanda Qi Boon Ng, Zack Xuereb Conti, and Clement Jun Hao Lork
year	2021
title	Computational screening-LCA tools for early design stages
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 1, 6–22
summary	Life Cycle Assessment (LCA) has been widely adopted to identify the Global Warming Potential (GWP) in the construction industry and determine its high environmental impact through Greenhouse Gas (GHG) emissions, energy and resource consumptions. The consideration of LCA in the early stages of design is becoming increasingly important as a means to avoid costly changes at later stages of the project. However, typical LCA-based tools demand very detailed information about structural and material systems and thus become too laborious for designers in the conceptual stages, where such specifications are still loosely defined. In response, this paper presents a workflow for LCA-based evaluation where the selection of the construction system and material is kept open to compare the impacts of alternative design variants. We achieve this through a strict division into support and infill systems and a simplified visualization of a schematic floor layout using a shoebox approach, inspired from the energy modelling domain. The shoeboxes in our case are repeatable modules within a schematic floor plan layout, whose enclosures are defined by parametric 2D surfaces representing total ratios of permanent supports versus infill components. Thus, the assembly of modular surface enclosures simplifies the LCA evaluation process by avoiding the need to accurately specify the physical properties of each building component across the floor plan. The presented workflow facilitates the selection of alternative structural systems and materials for their comparison, and outputs the Global Warming Potential (GWP) in the form of an intuitive visualization output. The workflow for simplified evaluation is illustrated through a case study that compares the GWP for selected combinations of material choice and construction systems.
keywords	Computational life cycle assessment tool, embodied carbon, parametric design, construction systems, global warming potential
series	journal
email
last changed	2021/06/03 23:29

_id	sigradi2021_346
id	sigradi2021_346
authors	Chagas, Icaro and Braida, Frederico
year	2021
title	The Possibilities of Digital Collage as a Representation Language in Contemporary Architecture and Urbanism
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 547–557
summary	This article approaches the theme of digital collage as a technique of graphic representation in Architecture and Urbanism emerging in cyberculture. The main objective is to highlight the underlying logic of digital collage as a representation language of contemporary architecture and urbanism projects. From a methodological point of view, this article is the result of qualitative, exploratory and descriptive research. In addition to the literature review on collage as an artistic and architectural expression, and its incorporation into digital culture, a study of multiple cases was carried out, taking as empirical object the graphic production of ten architecture and urbanism offices from different parts of the world. Finally, it appears that digital collages are consistent with the hybrid contemporary reality and create new poetics capable of representing the semantic and communicative dimension of architecture and urbanism design.
keywords	colagem digital, representaçao gráfica, arquitetura e urbanismo
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	ecaade2021_109
id	ecaade2021_109
authors	Doumpioti, Christina and Huang, Jeffrey
year	2021
title	Intensive Differences in Spatial Design - Reversing form-finding
doi	https://doi.org/10.52842/conf.ecaade.2021.1.009
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. 9-16
summary	Drawing from the philosophy of science, 'intensive' qualities define differences in degree instead of 'extensive' ones that define additive quantities. More relevant to architecture, intensive differences can define transient boundaries such as warmness and coolness, dryness and moisture, light and shadow, or visual accessibility, to name a few.The question that serves as a starting point of this study is whether the attributes mentioned above can become form-giving agents during the design process and, therefore, whether they become fundamental parameters for the conceptualization and configuration of extensive spatial qualities. This question is explored using Generative Adversarial Networks and image-to-image translation. The dataset consists of two types of images; one consists of spatial configurations representing extensive attributes. The second set depicts intensive characteristics of visual accessibility. The study proposes a conceptual model and workflow that reverses form-finding and enables the design of environments through the specification of desired intensive attributes. Furthermore, it discusses the advantage of working with this method in search of architectural environments with embedded spatial experiences.
keywords	Intensive Differences; Form-Finding; Isovist Simulation; conditional Generative Adversarial Networks (cGAN)
series	eCAADe
email
last changed	2022/06/07 07:55

_id	caadria2021_098
id	caadria2021_098
authors	Hegazy, Muhammad, Yasufuku, Kensuke and Abe, Hirokazu
year	2021
title	Validating Game Engines as a Quantitative Daylighting Simulation Tool
doi	https://doi.org/10.52842/conf.caadria.2021.2.285
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. 285-294
summary	This study aims to investigate the accuracy of representing daylit spaces using game engine-based rendering techniques, compared to validated benchmark renderers and real-life measurements. Two daylit case studies- reflecting different complexity levels and spatiotemporal settings- were rendered in a game engine using a traditional rendering technique and real-time raytracing. Illuminance levels at selected points were measured in Unreal Engine and were compared to those calculated in a validated light simulation tool and an illuminance meter for the simplified and complicated case studies, respectively. In both cases, traditional technique cited a high variance in illuminance levels compared to the references. In the simplified model, real-time ray tracing showed the lowest average error compared to the validated simulation results. In the complicated model, the average error of such technique was close to that of the validated simulation, compared to the actual illuminance measurements. This study illustrates the added benefits of using real-time ray tracing in game engines over traditional ray tracers to offer an immersive and interactive experience of virtual daylit spaces, without sacrificing the quantitative accuracy of the simulated luminous environments.
keywords	daylight simulation; game engine; ray tracing; immersive virtual environments
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	ijac202119305
id	ijac202119305
authors	Hosseini, Seyed Vahab; Alim, Usman R.; Oehlberg, Lora; Taron, Joshua M.
year	2021
title	Optically illusive architecture (OIA): Introduction and evaluation using virtual reality
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 3, 291–314
summary	Architects and designers communicate their ideas within a range of representational methods. No single instance of these methods, either in the form of orthographic projections or perspectival representation, can address all questions regarding the design, but as a whole, they demonstrate a comprehensive range of information about the building or object they intend to represent. This explicates an inevitable degree of deficiency in representation, regardless of its type. In addition, perspective-based optical illusions manipulate our spatial perception by deliberately misrepresenting the reality. In this regard, they are not new concepts to architectural representation. As a consequence, Optically Illusive Architecture (OIA) is proposed, not as a solution to fill the gap between the representing and represented spaces, but as a design paradigm whose concept derives from and accounts for this gap. By OIA we aim to cast light to an undeniable role of viewpoints in designing architectural spaces. The idea is to establish a methodology in a way that the deficiency of current representational techniques—manifested as specific thread of optical illusions—flourishes into thoughtful results embodied as actual architectural spaces. Within our design paradigm, we define a framework to be able to effectively analyze its precedents, generate new space, and evaluate their efficiencies. Moreover, the framework raises a hierarchical set of questions to differentiate OIA from a visual gimmick. Furthermore, we study two OIA-driven environments, by conducting empirical studies using Virtual Reality (VR). These studies bear essential information, in terms of design performance, and the public’s ability to engage and interact with an OIA space, prior to the actual fabrication of the structures.
keywords	Architectural representation, optical illusion, design evaluation, virtual reality
series	journal
email
last changed	2024/04/17 14:29

_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	acadia21_152
id	acadia21_152
authors	Kwon, Hyojin; Sherman, Adam
year	2021
title	Crooked Captures
doi	https://doi.org/10.52842/conf.acadia.2021.152
source	ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 152-157.
summary	With flashy renderings dominating news feeds and high-flying drones filming from otherwise inaccessible vantage points, our encounters with the built environment increasingly involve perspectival views, but not necessarily those experienced firsthand. As tools for image production and consumption evolve, so too will methods for studying historical precedents. Crooked Captures treats this proliferation of digital images as fertile ground for photogrammetric explorations into how two-dimensional imaging techniques can influence three-dimensional form. While photogrammetry, the process of determining spatial measurements of physical objects from photographic inputs, has been an area of investigation for almost two centuries, the technique’s potential has blossomed with increased access to high quality cameras. Typical photogrammetric applications couple high-fidelity scanning and computing to produce faithful digital copies of physical artifacts and scenes for measuring and surveying. Leading photogrammetry software packages promise accuracy and precision, touting the exact replication of physical forms in digital space—so-called reality capture—as an indisputable virtue.
series	ACADIA
type	project
email
last changed	2023/10/22 12:06

_id	caadria2021_001
id	caadria2021_001
authors	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.)
year	2021
title	CAADRIA 2021: Projections, Volume 2
doi	https://doi.org/10.52842/conf.caadria.2021.2
source	PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, 764 p.
summary	Rapidly evolving technologies are increasingly shaping our societies as well as our understanding of the discipline of architecture. Computational developments in fields such as machine learning and data mining enable the creation of learning networks that involve architects alongside algorithms in developing new understanding. Such networks are increasingly able to observe current social conditions, plan, decide, act on changing scenarios, learn from the consequences of their actions, and recognize patterns out of complex activity networks. While digital technologies have already enabled architecture to transcend static physical boxes, new challenges of the present and visions for the future continue to call for both innovative responses integrating emerging technologies into experimental architectural practice and their critical reflection. In this process, the capability of adapting to complex social and environmental challenges through learning, prototyping and verifying solution proposals in the context of rapidly shifting realities has become a core challenge to the architecture discipline. Supported by advancing technologies, architects and researchers are creating new frameworks for digital workflows that engage with new challenges in a variety of ways. Learning networks that recognize patterns from massive data, rapid prototyping systems that flexibly iterate innovative physical solutions, and adaptive design methods all contribute to a flexible and networked digital architecture that is able to learn from both past and present to evolve towards a promising vision of the future.
series	CAADRIA
last changed	2022/06/07 07:49

_id	caadria2021_000
id	caadria2021_000
authors	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.)
year	2021
title	CAADRIA 2021: Projections, Volume 1
doi	https://doi.org/10.52842/conf.caadria.2021.1
source	PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, 768 p.
summary	Rapidly evolving technologies are increasingly shaping our societies as well as our understanding of the discipline of architecture. Computational developments in fields such as machine learning and data mining enable the creation of learning networks that involve architects alongside algorithms in developing new understanding. Such networks are increasingly able to observe current social conditions, plan, decide, act on changing scenarios, learn from the consequences of their actions, and recognize patterns out of complex activity networks. While digital technologies have already enabled architecture to transcend static physical boxes, new challenges of the present and visions for the future continue to call for both innovative responses integrating emerging technologies into experimental architectural practice and their critical reflection. In this process, the capability of adapting to complex social and environmental challenges through learning, prototyping and verifying solution proposals in the context of rapidly shifting realities has become a core challenge to the architecture discipline. Supported by advancing technologies, architects and researchers are creating new frameworks for digital workflows that engage with new challenges in a variety of ways. Learning networks that recognize patterns from massive data, rapid prototyping systems that flexibly iterate innovative physical solutions, and adaptive design methods all contribute to a flexible and networked digital architecture that is able to learn from both past and present to evolve towards a promising vision of the future.
series	CAADRIA
last changed	2022/06/07 07:49

_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

_id	ecaade2021_060
id	ecaade2021_060
authors	Antinozzi, Sara, Ronchi, Diego, Fiorillo, Fausta and Barba, Salvatore
year	2021
title	3Dino: Configuration for a Micro-Photogrammetric Survey - Applying Dino-Lite microscope for the digitalization of a cuneiform tablet
doi	https://doi.org/10.52842/conf.ecaade.2021.2.211
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. 211-222
summary	Close-range photogrammetry, due to the possibilities offered by the technological evolution of acquisition tools and, above all, the relative original challenges posed to surveyors and the theory of measurements, deserve constant critical attention. The new opportunities to detect and represent reality are mostly focused on historical architecture, referring to consequent orders of magnitude and restitution scales. On the other hand, the formalization of relevant practices for very small objects is not frequently addressed. In recent tests carried out using two Dino-Lite handheld digital microscope models, polarized light digital microscopes generally used in medical and industrial fields, we proved the potential of using these imaging systems also for Cultural Heritage documentation, highlighting, however, some issues related to the depth of field and the consequent acquisition geometry. Therefore, this study aims to solve these problems, increasing the performance of microscopic photogrammetry by optimizing the acquisition procedures with the design of custom accessories for micro-photogrammetry (e.g. a calibrated plate). These developments will be carried out as part of a technology transfer agreement with the Dino-Lite company pointed to codify a protocol for high accuracy photogrammetric documentation of small artefacts.
keywords	Digital Heritage; Small artefacts; Detailed 3D shape; Handheld microscope
series	eCAADe
email
last changed	2022/06/07 07:54

_id	sigradi2021_367
id	sigradi2021_367
authors	da Rocha Santos, Carlos Eduardo, Dias, Maria Angela and Braida, Frederico
year	2021
title	Digital Games and Spatial Skills in Architecture and Urbanism Education
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 867–876
summary	This article addresses the issue of the relationship between digital games and the development of spatial thinking. The research question is: how can digital games be used to contribute to the development of geometric and spatial skills and competencies, extremely necessary for contemporary architects and urban planners? The main objective is to highlight digital games as a possible and emerging educational resource in the era of digital culture. From a methodological point of view, the article is the result of qualitative and exploratory research, both bibliographical and empirical. The results presented, which are the result of a didactic experiment carried out with the game Minecraft, point to the adoption of digital games as powerful playful didactic tools capable of contributing to the exercise and development of spatial vision and geometric thinking in Architecture and Urbanism.
keywords	Jogos digitais, aprendizagem, habilidade espacial, educaçao do olhar e Arquitetura e Urbanismo
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	caadria2021_389
id	caadria2021_389
authors	del Campo, Matias
year	2021
title	Architecture,Language and AI - Language,Attentional Generative Adversarial Networks (AttnGAN) and Architecture Design
doi	https://doi.org/10.52842/conf.caadria.2021.1.211
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 211-220
summary	The motivation to explore Attentional Generative Adversarial Networks (AttnGAN) as a design technique in architecture can be found in the desire to interrogate an alternative design methodology that does not rely on images as starting point for architecture design, but language. Traditionally architecture design relies on visual language to initiate a design process, wither this be a napkin sketch or a quick doodle in a 3D modeling environment. AttnGAN explores the information space present in programmatic needs, expressed in written form, and transforms them into a visual output. The key results of this research are shown in this paper with a proof-of-concept project: the competition entry for the 24 Highschool in Shenzhen, China. This award-winning project demonstrated the ability of GraphCNN to serve as a successful design methodology for a complex architecture program. In the area of Neural Architecture, this technique allows to interrogate shape through language. An alternative design method that creates its own unique sensibility.
keywords	Artificial Intelligence; Machine Learning; Artificial Neural Networks; Semiotics; Design Methodology
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	ijac202119106
id	ijac202119106
authors	Del Campo, Matias; Alexandra Carlson, and Sandra Manninger
year	2021
title	Towards Hallucinating Machines - Designing with Computational Vision
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 1, 88–103
summary	There are particular similarities in how machines learn about the nature of their environment, and how humans learn to process visual stimuli. Machine Learning (ML), more specifically Deep Neural network algorithms rely on expansive image databases and various training methods (supervised, unsupervised) to “make sense” out of the content of an image. Take for example how students of architecture learn to differentiate various architectural styles. Whether this be to differentiate between Gothic, Baroque or Modern Architecture, students are exposed to hundreds, or even thousands of images of the respective styles, while being trained by faculty to be able to differentiate between those styles. A reversal of the process, striving to produce imagery, instead of reading it and understanding its content, allows machine vision techniques to be utilized as a design methodology that profoundly interrogates aspects of agency and authorship in the presence of Artificial Intelligence in architecture design. This notion forms part of a larger conversation on the nature of human ingenuity operating within a posthuman design ecology. The inherent ability of Neural Networks to process large databases opens up the opportunity to sift through the enormous repositories of imagery generated by the architecture discipline through the ages in order to find novel and bespoke solutions to architectural problems. This article strives to demystify the romantic idea of individual artistic design choices in architecture by providing a glimpse under the hood of the inner workings of Neural Network processes, and thus the extent of their ability to inform architectural design.The approach takes cues from the language and methods employed by experts in Deep Learning such as Hallucinations, Dreaming, Style Transfer and Vision. The presented approach is the base for an in-depth exploration of its meaning as a cultural technique within the discipline. Culture in the extent of this article pertains to ideas such as the differentiation between symbolic and material cultures, in which symbols are defined as the common denominator of a specific group of people.1 The understanding and exchange of symbolic values is inherently connected to language and code, which ultimately form the ingrained texture of any form of coded environment, including the coded structure of Neural Networks.A first proof of concept project was devised by the authors in the form of the Robot Garden. What makes the Robot Garden a distinctively novel project is the motion from a purely two dimensional approach to designing with the aid of Neural Networks, to the exploration of 2D to 3D Neural Style Transfer methods in the design process.
keywords	Artificial intelligence, design agency, neural networks, machine learning, machine vision
series	journal
email
last changed	2021/06/03 23:29

_id	sigradi2021_203
id	sigradi2021_203
authors	Diniz, Maria Luisa, Silva, Alan Felipe, Wedekin, Gabriela, Castro, Rafaela and Duarte, Rovenir
year	2021
title	Affective Cartographies for Smarter Cities
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 1295–1306
summary	This paper focuses on the study of affective and digital cartographies and on relating them systematically with their design applications. The research is based on the Design Science Research strategy, through the following logical structure: (1) Problem identification; (2) Communication; (3) Definition of the objective of the solution; (4) Artifact design, development and implementation; (5) Demonstration and Evaluation. The results presented correspond to phases (1), (2) and structuring of (3). The categorization was based on the principles: (a) dynamism (dynamic vs. static), (b) responsiveness (immediate vs. non-immediate), (c) implementation domain (hard vs. soft), and (d) affective aspect (quantitative vs. qualitative). This was synthesized in a chart, which was submitted to the analysis of a group of 4 experts from a public urban planning entity, and possible applications of affective cartographies in urban projects were obtained. Those were confronted with reality from the overlapping of the problems listed with the synthesis chart, positioning such cartographies as to their vocations.
keywords	cartografias digitais, afeto, Deleuze, senseable cities, Smart City
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	sigradi2021_208
id	sigradi2021_208
authors	Eloah, Adriane, Queiroz, Natália and Coelho, Leonardo
year	2021
title	Parametric Urbanism: Multi-Criteria Optimization for a Sustainable Neighborhood in Sao José Dos Campos
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 351–362
summary	Based on the concepts of Sustainable Urbanism and performance-based design, this work proposes the development of a neighborhood in the city of Sao José dos Campos (SJC), Sao Paulo-Brazil. The performance-based design method was used through parametric algorithmic tools - such as Grasshopper - for construction, analysis and the urban design multicriteria optimization. Five optimization functions were used: walkability, sunset view, radiation in hot periods, minimum hours of sun exposition and maximum number of floors. The use of optimization software accommodates the numerous conflicting requirements of the model. The results obtained are a systematization of the process and a system that allows various urban solutions based on numerical performance criteria. The selected solutions achieved walkability indicators greater than 80%.
keywords	Urbanismo paramétrico, Urbanismo Sustentável, otimizaçao, sustentabilidade, Performance-based design
series	SIGraDi
email
last changed	2022/05/23 12:10

_id	ascaad2021_150
id	ascaad2021_150
authors	Fathima, Linas; Chithra K
year	2021
title	Shapegrammar: A Tool for Research in Traditional Architecture
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 465-478
summary	Every Architectural style consists of an Architectural language with vocabulary, syntax, and semantics. The compositional principles of a particular style can be defined over as a set of rules. These rules can be reformed and converted using mathematical computational techniques using Shape Grammar (A systematic method used for interpreting spatial design and activities). Researchers across the world used shape grammar to analyse design patterns of traditional architectural styles, master architects' works, etc. These rule-based methods can be adopted into computer languages to produce new designs. Traditional Architecture of a region portrays culture integrated with all aspects of human life. The proposed paper is to study the potentials of shape grammar to use as a tool in the research of traditional architectural styles by analysing case studies. The research methodology reviews the previous shape grammar studies conducted in various conventional styles and comparative analysis of the approaches of authors in shape grammar generation. The research by Lambe and Dongre on the formulation of shape grammar of Pol houses of Ahmadabad and Cagdas's work on traditional Turkish houses is an example of this. T Knight had formulated shape grammar of Japanese tea houses, and Yousefniapasha and Teeling developed a grammar of vernacular houses facing rice fields of Mazandaran, Iran. Similarly, many researchers used shape grammars as a tool to analyse traditional architecture. So the study will compare the different traditional shape grammar generations and formulate a sample shape grammar of a traditional prototype to conclude the scope of further research in the domain.
series	ASCAAD
email
last changed	2021/08/09 13:13

For more results click below: