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 616

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

_id	acadia20_238
id	acadia20_238
authors	Zhang, Hang
year	2020
title	Text-to-Form
doi	https://doi.org/10.52842/conf.acadia.2020.1.238
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. 238-247.
summary	Traditionally, architects express their thoughts on the design of 3D architectural forms via perspective renderings and standardized 2D drawings. However, as architectural design is always multidimensional and intricate, it is difficult to make others understand the design intention, concrete form, and even spatial layout through simple language descriptions. Benefiting from the fast development of machine learning, especially natural language processing and convolutional neural networks, this paper proposes a Linguistics-based Architectural Form Generative Model (LAFGM) that could be trained to make 3D architectural form predictions based simply on language input. Several related works exist that focus on learning text-to-image generation, while others have taken a further step by generating simple shapes from the descriptions. However, the text parsing and output of these works still remain either at the 2D stage or confined to a single geometry. On the basis of these works, this paper used both Stanford Scene Graph Parser (Sebastian et al. 2015) and graph convolutional networks (Kipf and Welling 2016) to compile the analytic semantic structure for the input texts, then generated the 3D architectural form expressed by the language descriptions, which is also aided by several optimization algorithms. To a certain extent, the training results approached the 3D form intended in the textual description, not only indicating the tremendous potential of LAFGM from linguistic input to 3D architectural form, but also innovating design expression and communication regarding 3D spatial information.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ascaad2016_047
id	ascaad2016_047
authors	Algeciras-Rodríguez, José
year	2016
title	Trained Architectonics
source	Parametricism Vs. Materialism: Evolution of Digital Technologies for Development [8th ASCAAD Conference Proceedings ISBN 978-0-9955691-0-2] London (United Kingdom) 7-8 November 2016, pp. 461-468
summary	The research presented here tests the capacity of artificial-neural-network (ANN) based multi-agent systems to be implemented in architectural design processes. Artificial Intelligence algorithms allow for a new approach to design, taking advantage of its generic functioning to produce meaningful outcomes. Experimentation within this project is based on Self-Organizing Maps (SOMs) and takes advantage of its behavior in topology to produce architectural geometry. SOMs as full stochastic processes involve randomness, uncertainty and unpredictability as key features to deal with during the design process. Following this behavior, SOMs are used to transmit information, which, instead of being copied, is reproduced after a learning (training) process. Pre-existent architectural objects are taken as learning models as they have been considered masterpieces. In this context, by defining the SOM input set, masterpieces become measurement elements and can be used to set a distance to the new element position in a comparatistic space. The characteristics of masterpieces get embedded within the code and are transmitted to 3D objects. SOM produced objects from a population with shared characteristics where the masterpiece position is its probabilistic center point.
series	ASCAAD
email
last changed	2017/05/25 13:33

_id	ecaade2016_096
id	ecaade2016_096
authors	Chen, Nai Chun, Nagakura, Takehiko and Larson, Kent
year	2016
title	Social Media as Complementary Tool to Evaluate Cities - Data Mining Innovation Districts in Boston
doi	https://doi.org/10.52842/conf.ecaade.2016.2.447
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 447-456
summary	High tech industries are playing an important role in the economic development in the United States. While some cities are shrinking, the "innovation" cities are growing. The attributes that cause some cities to successfully become innovative is a very relevant 21st century topic and will be investigated here.Previous work conduct city analysis through conventional government GIS or census data but such analyses do not answer questions about the perception of citizens inhabiting the city, and the activities they conduct. The novelty of this current project is to make use of large-scale bottom-up data available from social media. Several social media sources-CrunchBase, Twitter, Yelp, and Flickr- were data mined pertaining to four innovation districts in Boston. We found that the success of innovation districts in Boston were correlated with several important variables: the most successful districts tended to occur near research institutions, in very "mixed use" areas, and were unexpectedly not correlated with land and labor prices, unlike technology districts in the past. Based on our study, we make recommendations for the urban design that cities should put in place to increase the potential for "innovation".
wos	WOS:000402064400044
keywords	Smart Cities; Social Media; Innovation District; Spatial Analysis; Data Mining; Natural Language Processing
series	eCAADe
email
last changed	2022/06/07 07:55

_id	caadria2024_186
id	caadria2024_186
authors	Huang, Jingfei and Tu, Han
year	2024
title	Inconsistent Affective Reaction: Sentiment of Perception and Opinion in Urban Environments
doi	https://doi.org/10.52842/conf.caadria.2024.2.395
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 2, pp. 395–404
summary	The ascension of social media platforms has transformed our understanding of urban environments, giving rise to nuanced variations in sentiment reaction embedded within human perception and opinion, and challenging existing multidimensional sentiment analysis approaches in urban studies. This study presents novel methodologies for identifying and elucidating sentiment inconsistency, constructing a dataset encompassing 140,750 Baidu and Tencent Street view images to measure perceptions, and 984,024 Weibo social media text posts to measure opinions. A reaction index is developed, integrating object detection and natural language processing techniques to classify sentiment in Beijing Second Ring for 2016 and 2022. Classified sentiment reaction is analysed and visualized using regression analysis, image segmentation, and word frequency based on land-use distribution to discern underlying factors. The perception affective reaction trend map reveals a shift toward more evenly distributed positive sentiment, while the opinion affective reaction trend map shows more extreme changes. Our mismatch map indicates significant disparities between the sentiments of human perception and opinion of urban areas over the years. Changes in sentiment reactions have significant relationships with elements such as dense buildings and pedestrian presence. Our inconsistent maps present perception and opinion sentiments before and after the pandemic and offer potential explanations and directions for environmental management, in formulating strategies for urban renewal.
keywords	Urban Sentiment, Affective Reaction, Social Media, Machine Learning, Urban Data, Image Segmentation.
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	ijac201614205
id	ijac201614205
authors	Leitao, Anto?nio; Ines Caetano and Hugo Correia
year	2016
title	Processing architecture
source	International Journal of Architectural Computing vol. 14 - no. 2, 147-157
summary	Programming promotes creative freedom but might require considerable effort to learn. The Processing language was created to simplify this learning process. Due to its graphical capabilities, the language has become very popular among the electronic arts and design communities. Unfortunately, this popularity could not be extended to the architecture community, which relies on traditional heavyweight computer-aided design and building information modeling applications that cannot be programmed using Processing. As a result, it becomes difficult for architects to take advantage of Processing. To solve this problem, we propose an implementation of Processing that runs in the context of the most used computer-aided design tools in architecture. Our implementation allows Processing to generate two- or three-dimensional models that are directly usable for architectural work. To this end, we also propose extensions to the language, including three-dimensional modeling primitives that dramatically simplify the effort needed for developing large and complex architectural models with Processing.
keywords	Generative Design, Programming, Processing, Architecture, 3D Modeling
series	journal
last changed	2016/06/13 08:34

_id	ascaad2016_052
id	ascaad2016_052
authors	Al-Badry, Sally; Cesar Cheng, Sebastian Lundberg and Georgios Berdos
year	2016
title	Living on the Edge - Reinventing the amphibiotic habitat of the Mesopotamian Marshlands
source	Parametricism Vs. Materialism: Evolution of Digital Technologies for Development [8th ASCAAD Conference Proceedings ISBN 978-0-9955691-0-2] London (United Kingdom) 7-8 November 2016, pp. 513-526
summary	The Mesopotamian Marshlands form one of the first landscapes where people started to transform and manipulate the natural environment in order to sustain human habitation. For thousands of years, people have transformed natural ecosystems into agricultural fields, residential clusters and other agglomerated environments to sustain long-term settlement. In this way, the development of human society has been intricately linked to the extraction, processing and consumption of natural resources. The Mesopotamian Marshlands, located in one of the hottest and most arid areas on the planet, formed a unique wetlands ecosystem, which apart from millions of people, sustained a very high number of wildlife and endemic species. Several historical, political, social and climatic changes, which densely occurred during the past century, completely destroyed the unique civilisation of the area, made all the wild flora and fauna disappear and forced hundreds of thousands of people to migrate. During the last decade, many efforts have been made to restore the marshlands. However, these efforts are lacking a comprehensive design strategy, coherent goals and deep understanding of the complex current geopolitical situation, making the restoration process an extremely difficult task. This work aims at providing strategies for recovering the Mesopotamian Marshlands, organising productive functions in order to sustain the local population and design a new inhabitation model, using advanced computational tools while taking into account the extreme climatic conditions and several unique cultural aspects. Part of the aim of this work is to advance the use of computation and explore the opportunities that digital tools afford in helping find solutions to complex design problems where various design variables need to be coordinated to satisfy the design goals. Today, advanced computation enables designers to use population consumption demands, ecological processes and environmental inputs as design parameters to develop more robust and resilient regional planning strategies. This work has the double aim of first, presenting a framework for re-inhabiting the Marshlands of Mesopotamia. Second, the work suggests a design methodology based on computer-aided design for developing and organising productive functions and patterns of human occupation in wetland environments.
series	ASCAAD
email
last changed	2017/05/25 13:34

_id	ascaad2016_003
id	ascaad2016_003
authors	Al-Jokhadar, Amer; Wassim Jabi
year	2016
title	Humanising the Computational Design Process - Integrating Parametric Models with Qualitative Dimensions
source	Parametricism Vs. Materialism: Evolution of Digital Technologies for Development [8th ASCAAD Conference Proceedings ISBN 978-0-9955691-0-2] London (United Kingdom) 7-8 November 2016, pp. 9-18
summary	Parametric design is a computational-based approach used for understanding the logic and the language embedded in the design process algorithmically and mathematically. Currently, the main focus of computational models, such as shape grammar and space syntax, is primarily limited to formal and spatial requirements of the design problem. Yet, qualitative factors, such as social, cultural and contextual aspects, are also important dimensions in solving architectural design problems. In this paper, an overview of the advantages and implications of the current methods is presented. It also puts forward a ‘structured analytical system’ that combines the formal and geometric properties of the design, with descriptions that reflect the spatial, social and environmental patterns. This syntactic-discursive model is applied for encoding vernacular courtyard houses in the hot-arid regions of the Middle East and North Africa, and utilising the potentials of these cases in reflecting the lifestyle and the cultural values of the society, such as privacy, human-spatial behaviour, the social life inside the house, the hierarchy of spaces, the segregation and seclusion of family members from visitors and the orientation of spaces. The output of this analytical phase prepares the groundwork for the development of socio-spatial grammar for contemporary tall residential buildings that gives the designer the ability to reveal logical spatial topologies based on socio-environmental restrictions, and to produce alternatives that have an identity while also respecting the context, place and needs of users.
series	ASCAAD
email
last changed	2017/05/25 13:13

_id	caadria2016_631
id	caadria2016_631
authors	Alambeigi, Pantea; Sipei Zhao, Jane Burry and Xiaojun Qiu
year	2016
title	Complex human auditory perception and simulated sound performance prediction
doi	https://doi.org/10.52842/conf.caadria.2016.631
source	Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 631-640
summary	This paper reports an investigation into the degree of con- sistency between three different methods of sound performance evalu- ation through studying the performance of a built project as a case study. The non-controlled office environment with natural human speech as a source was selected for the subjective experiment and ODEON room acoustics modelling software was applied for digital simulation. The results indicate that although each participant may in- terpret and perceive sound in a particular way, the simulation can pre- dict this complexity to some extent to help architects in designing acoustically better spaces. Also the results imply that architects can make valid comparative evaluations of their designs in an architectur- ally intuitive way, using architectural language. The research acknowledges that complicated engineering approaches to subjective analysis and to controlling the test environment and participants is dif- ficult for architects to comprehend and implement.
keywords	Human sound perception; acoustic simulation; experiment and measurement
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2016_343
id	caadria2016_343
authors	Asriana, Nova and Aswin Indraprastha
year	2016
title	Making Sense of Agent-based Simulation: Developing Design Strategy for Pedestrian-centric Urban Space
doi	https://doi.org/10.52842/conf.caadria.2016.343
source	Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 343-352
summary	This study investigates the relationships of field observa- tion, multi-agent simulation and space-syntax theory in spatial config- uration for developing design strategy for a case study, a tourist hub area in Musi Riverside, Palembang. Having such potential advantage and to tackle existing social and urban issues, our study developed a design approach based on multi-agent simulation enhanced by space syntax theory. The goal of this study is a deep understanding of multi agent simulation through mechanism of validation using field obser- vation and by taking into account the existing urban features. The purpose is to develop design strategy of pedestrian-centric urban space to be functioned as a tourist hub based on computational modelling. Following the paths result of pedestrian flow by multi-agents simula- tion, we elaborated the analysis of facility programming by means of Space Syntax theory. It shows the ranking of facility programs based on their relative connectivity and integration. By merging this result, it assembles programs and their circulation spaces by means of compu- tational simulation. Experimenting in both fields show a novel ap- proach for pedestrian-centric design in urban scale, particularly since behavioural models rarely used in early stage of design process. It shows that multi-agent simulation should be coupled with field obser- vation.
keywords	Multi-agents simulation; network analysis; Space Syntax theory; design strategy; urban space
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2016_125
id	caadria2016_125
authors	Chen, I-Chih and June-Hao Hou
year	2016
title	Design with bamboo bend: Bridging natural material and computational design
doi	https://doi.org/10.52842/conf.caadria.2016.125
source	Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 125-133
summary	Bamboo is a high potential alternative solution for substi- tuting industrial material with its natural characteristics, economical and environmental aspects. However, one of the biggest challenges for natural materials to be used in computational designed is the control- lability due to its unevenness nature. The other gap is the lack of ma- terial parameters that might be bridged by analysing data acquired from conventional tests. This research studied the raw bamboo strip and its natural forming from bending, by using sampling points and curvature reconstruction. The parametric models of bamboo strips were then constructed to represent its material behaviours for form prediction, material selection, and simulation in parametric design. It also serves as an assistive method for material selection when crafting with bamboo bend.
keywords	Bamboo; bending; material computation; digital crafting
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	ascaad2016_027
id	ascaad2016_027
authors	Cocho-Bermejo, Ana
year	2016
title	Time in Adaptable Architecture - Deployable emergency intelligent membrane
source	Parametricism Vs. Materialism: Evolution of Digital Technologies for Development [8th ASCAAD Conference Proceedings ISBN 978-0-9955691-0-2] London (United Kingdom) 7-8 November 2016, pp. 249-258
summary	The term "Parametricism" widespread mainly by Patrick Schumacher (Schumacher, 2008) is worthy of study. Developing the concept of Human Oriented Parametric Architecture, the need of implementing time as the lost parameter in current adaptive design techniques will be discussed. Morphogenetic processes ideas will be discussed through the principle of an adaptable membrane as a case study. A model implementing a unique Arduino[i] on the façade will control its patterns performance through an Artificial Neural Network that will understand the kind of scenario the building is in, activating a Genetic Algorithm that will optimize the insulation performance of the ETFE pillows. The system will work with a global behavior for façade pattern performance and with a local one for each pillow, giving the option of individual sun-shading control. Machine learning implementation will give the façade the possibility to learn from the efficacy of its decisions through time, eliminating the need of a general on-off behavior.
series	ASCAAD
email
last changed	2017/05/25 13:31

_id	acadia23_v1_122
id	acadia23_v1_122
authors	Crawford, Assia
year	2023
title	Mycelium Making: An exploration in Growing Modular Interiors
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 1: Projects Catalog of the 43rd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 122-127.
summary	The project was developed as part of an MArch Architecture design studio that looked at emerging bio-degradable living materials in the form of mycelium bio-composites as a way of manufacturing temporary structures. The project introduced students to laboratory methods for material development and bio-material cultivation. Students were asked to consider the implications of designing with a material that has agency and needs. The studio explored what it means to “make kin” (Haraway 2016) on a planet that has reached a tipping point. It approached the topic from the assumption that the breakdown of existing economic models and resource scarcity offers potent ground for new forms of space making to emerge. The studio looked to nature’s ability to respond to environmental stimuli and design constraints. Students harnessed advances in our scientific understanding to cultivate an architectural language that captures the transient and unstable nature of this new family of biomaterials
series	ACADIA
type	project
email
last changed	2024/04/17 13:58

_id	caadria2016_301
id	caadria2016_301
authors	Datta, S.; T. W. Chang and J. Hollick
year	2016
title	Curating architectural collections: Interaction with immersive stereoscopic visualisation
doi	https://doi.org/10.52842/conf.caadria.2016.301
source	Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 301-310
summary	We present our research on the use of immersive stereo- scopic visualisation in interaction with collections of architectural rep- resentations. We investigate the processing and visualisation of multi- ple model representations from architectural datasets. We develop two models for locating collections of datasets in spatial contexts, namely a realistic gallery and a synthetic landscape. We evaluate and report the qualitative interactive experience with two forms of contextual in- teraction within a novel stereoscopic immersive visualisation (cylin- drical projection) environment. The use of immersive stereoscopic visualisation conveys aspects and dimensions of the collections that would not be possible without the forms of contextual interaction, the gallery metaphor and the synthetic landscape to interact with the ar- chitectural collections. The combination of abstract representations with realistic sense of scale and interaction provide the user with an immersive experience to convey the collective form.
keywords	Digital data acquisition; architectural reconstruction; geometry processing and algorithms; immersive stereoscopic visualisation; human computer interaction
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	sigradi2016_779
id	sigradi2016_779
authors	Granero, Adriana Edith; Paganini, Ana Livia; Hölzel, Gabriel
year	2016
title	Creación asistida por tecnología [Assisted creation by technology]
source	SIGraDi 2016 [Proceedings of the 20th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-7051-86-1] Argentina, Buenos Aires 9 - 11 November 2016, pp.285-289
summary	This research explores the integration and use of applications, digital devices and social networks for the creation of architectural design. We propose a teaching model for teaching morphological architectural representation with different models but integrated. On the study will show the sequence of activities linked to the different models and work on them. For activity using social networks of all kinds, the implementation of 3D printing peripherals, the use of own design uses three significant companies are encouraged: Autodesk, Graphisoft & Mc. Neel.
keywords	Natural education, interaction, educational innovation, Gamefulness, architectural education, higher education
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	acadia16_130
id	acadia16_130
authors	Koschitz, Duks; Ramagosa, Bernat; Rosenbaum, Eric
year	2016
title	Beetle Blocks: A New Visual Language for Designers and Makers
doi	https://doi.org/10.52842/conf.acadia.2016.130
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 130-139
summary	We are introducing a new teaching tool to show designers, architects, and artists procedural ways of constructing objects and space. Computational algorithms have been used in design for quite some time, but not all tools are very accessible to novice programmers, especially undergraduate students. ‘Beetle Blocks’ (beetleblocks.com) is a software environment that combines an easy-to-use graphical programming language with a generative model for 3D space, drawing on ‘turtle geometry,’ a geometry paradigm introduced by Abelson and Disessa, that uses a relative as opposed to an absolute coordinate system. With Beetle Blocks, designers are able to learn computational concepts and use them for their designs with more ease, as individual computational steps are made visually explicit. The beetle, the relative coordinate system, follows instructions as it moves about in 3D space. Anecdotal evidence from studio teaching in undergraduate programs shows that despite the early introduction of digital media and tools, architecture students still struggle with learning formal languages today. Beetle Blocks can significantly simplify the teaching of complex geometric ideas and we explain how this can be achieved via several examples. The blocks-based programming language can also be used to teach fundamental concepts of manufacturing and digital fabrication and we elucidate in this paper which possibilities are conducive for 2D and 3D designs. This project was previously implemented in other languages such as Flash, Processing and Scratch, but is now developed on top of Berkeley’s ‘Snap!’
keywords	generative design, design pedagogy, digital fabrication, tool-building, pedagogical tools
series	ACADIA
type	paper
email
last changed	2022/06/07 07:51

_id	ijac201614401
id	ijac201614401
authors	Mark, Earl and Zita Ultmann
year	2016
title	Environmental footprint design tool: Exchanging geographical information system and computer-aided design data in real time
source	International Journal of Architectural Computing vol. 14 - no. 4, 307-321
summary	The pairing of computer-aided design and geographical information system data creates an opportunity to connect an architectural design process with a robust analysis of its environmental constraints. Yet, the geographical information system data may be too overwhelmingly complex to be fully used in computer-aided design without computer-assisted methods of filtering relevant information. This article reports on the implementation of an integrated environment for three-dimensional computer-aided design and environmental impact. The project focused on a two-way data exchange between geographical information system and computer-aided design in building design. While the two different technologies may rely on separate representational models, in combination they can provide a more complete view of the natural and built environment. The challenge in integration is that of bridging the differences in analytical methods and database formats. Our approach is rooted in part in constraint-based design methods, well established in computer-aided design (e.g. Sketchpad, Generative Components, and computer-aided three-dimensional interactive application). Within such computer-aided design systems, geometrical transformations may be intentionally constrained to help enforce a set of design determinants. Although this current implementation modestly relates to geometrical constraints, the use of probabilistic risk values is more central to its methodology.
keywords	Boolean analysis, area overlay analysis, attribute classification, data transition using .csv, vectorization, risk analysis, site planning
series	journal
email
last changed	2016/12/09 10:52

_id	caadria2016_881
id	caadria2016_881
authors	Silvestre, Joaquim; Yasushi Ikeda and Franc?ois Gue?na
year	2016
title	Artificial Imagination of Architecture with Deep Convolutional Neural Network
doi	https://doi.org/10.52842/conf.caadria.2016.881
source	Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 881-890
summary	This paper attempts to determine if an Artificial Intelli- gence system using deep convolutional neural network (ConvNet) will be able to “imagine” architecture. Imagining architecture by means of algorithms can be affiliated to the research field of generative archi- tecture. ConvNet makes it possible to avoid that difficulty by automat- ically extracting and classifying these rules as features from large ex- ample data. Moreover, image-base rendering algorithms can manipu- late those abstract rules encoded in the ConvNet. From these rules and without constructing a prior 3D model, these algorithms can generate perspective of an architectural image. To conclude, establishing shape grammar with this automated system opens prospects for generative architecture with image-base rendering algorithms.
keywords	Machine learning; convolutional neural network; generative design; image-based rendering
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2016_395
id	caadria2016_395
authors	Ugarte, J. P. and M. Leef
year	2016
title	Digital Geo-Plexus: Instagram as a tool for re-evaluating notions of proximity
doi	https://doi.org/10.52842/conf.caadria.2016.395
source	Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 395-404
summary	The research presented in this paper describes the develop- ment of an Instagram-based multidimensional clustering algorithm. The algorithm analyses large datasets of Instagram images to establish new metrics that qualitatively assess proximity relations in a given geographical area —i.e. negotiates multiple acceptations of proximity. Influenced by Qualitative Spatial Reasoning, Lewis Mumford’s geo- graphic plexus and Kevin Lynch’s perceptual mapping, a graphic GUI-based application has been developed to produce real-time visu- alizations —maps, network graphs, and charts— by means of brows- ing, downloading and post-processing Instagram feeds. First, the ap- plication’s functioning will be described; second, several graphic visualizations will demonstrate the capabilities of the software; third, limitations and further development will be discussed.
keywords	Instagram; big data; social network
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	ecaade2016_210
id	ecaade2016_210
authors	Abdelmohsen, Sherif, Massoud, Passaint and Elshafei, Ahmed
year	2016
title	Using Tensegrity and Folding to Generate Soft Responsive Architectural Skins
doi	https://doi.org/10.52842/conf.ecaade.2016.1.529
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 1, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 529-536
summary	This paper describes the process of designing a prototype for a soft responsive system for a kinetic building facade. The prototype uses lightweight materials and mechanisms to generate a building facade skin that is both soft (less dependent on hard mechanical systems) and responsive (dynamically and simultaneously adapting to spatial and environmental conditions). By combining concepts stemming from both tensegrity structures and folding mechanisms, we develop a prototype that changes dynamically to produce varying facade patterns and perforations based on sensor-network data and feedback. We use radiation sensors and shape memory alloys to control the prototype mechanism and allow for the required parametric adaptation. Based on the data from the radiation sensors, the lengths of the shape memory alloys are altered using electric wires and are parametrically linked to the input data. The transformation in the resulting overall surface is directly linked to the desired levels of daylighting and solar exposure. We conclude with directions for future research, including full scale testing, advanced simulation, and multi-objective optimization.
wos	WOS:000402063700058
keywords	Soft responsive systems; tensegrity; folding; kinetic facades
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ascaad2016_049
id	ascaad2016_049
authors	Abdelsabour, Inas; Heba Farouk
year	2016
title	Impact of Using Structural Models on Form Finding - Incorporating Practical Structural Knowledge into Design Studio
source	Parametricism Vs. Materialism: Evolution of Digital Technologies for Development [8th ASCAAD Conference Proceedings ISBN 978-0-9955691-0-2] London (United Kingdom) 7-8 November 2016, pp. 483-492
summary	Physical Models as an architectural design tool, had major effect on architecture learning process. In structural form finding, it helped in improving visual design thinking to track form creation processes during form finding design stage. The aim is to study the impact of using physical models for second year architecture students in design studios learning. By analyzing and comparing students’ performance and progress; to clarify the effect of using physical models as a tool for designing progression, followed by analytical study on the students' structural models, in order to investigate the influence of models on their design educational progress. Research achieved that there were three basic phases the students pass through during form finding process when used manual physical models that improve the students' design capability.
series	ASCAAD
email
last changed	2017/05/25 13:33

For more results click below: