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 395

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

_id	ecaade2021_203
id	ecaade2021_203
authors	Arora, Hardik, Bielski, Jessica, Eisenstadt, Viktor, Langenhan, Christoph, Ziegler, Christoph, Althoff, Klaus-Dieter and Dengel, Andreas
year	2021
title	Consistency Checker - An automatic constraint-based evaluator for housing spatial configurations
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. 351-358
doi	https://doi.org/10.52842/conf.ecaade.2021.2.351
summary	The gradual rise of artificial intelligence (AI) and its increasing visibility among many research disciplines affected Computer-Aided Architectural Design (CAAD). Architectural deep learning (DL) approaches are being developed and published on a regular basis, such as retrieval (Sharma et al. 2017) or design style manipulation (Newton 2019; Silvestre et al. 2016). However, there seems to be no method to evaluate highly constrained spatial configurations for specific architectural domains (such as housing or office buildings) based on basic architectural principles and everyday practices. This paper introduces an automatic constraint-based consistency checker to evaluate the coherency of semantic spatial configurations of housing construction using a small set of design principles to evaluate our DL approaches. The consistency checker informs about the overall performance of a spatial configuration followed by whether it is open/closed and the constraints it didn't satisfy. This paper deals with the relation of spaces processed as mathematically formalized graphs contrary to existing model checking software like Solibri.
keywords	model checking, building information modeling, deep learning, data quality
series	eCAADe
email
last changed	2022/06/07 07:54

_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
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
doi	https://doi.org/10.52842/conf.caadria.2016.881
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	acadia16_98
id	acadia16_98
authors	Smith, Shane Ida; Lasch, Chris
year	2016
title	Machine Learning Integration for Adaptive Building Envelopes: An Experimental Framework for Intelligent Adaptive Control
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. 98-105
doi	https://doi.org/10.52842/conf.acadia.2016.098
summary	This paper describes the development of an Intelligent Adaptive Control (IAC) framework that uses machine learning to integrate responsive passive conditioning at the envelope into a building’s comprehensive conventional environmental control system. Initial results show that by leveraging adaptive computational control to orchestrate the building’s mechanical and passive systems together, there exists a demonstrably greater potential to maximize energy efficiency than can be gained by focusing on either system individually, while the addition of more passive conditioning strategies significantly increase human comfort, health and wellness building-wide. Implicitly, this project suggests that, given the development and ever increasing adoption of building automation systems, a significant new site for computational design in architecture is expanding within the post-occupancy operation of a building, in contrast to architects’ traditional focus on the building’s initial design. Through the development of an experimental framework that includes physical material testing linked to computational simulation, this project begins to describe a set of tools and procedures by which architects might better conceptualize, visualize, and experiment with the design of adaptive building envelopes. This process allows designers to ultimately engage in the opportunities presented by active systems that govern the daily interactions between a building, its inhabitants, and their environment long after construction is completed. Adaptive material assemblies at the envelope are given special attention since it is here that a building’s performance and urban expression are most closely intertwined.
keywords	model predictive control, reinforcement learning, energy performance, adaptive envelope, sensate systems
series	ACADIA
type	paper
email
last changed	2022/06/07 07:56

_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	caadria2016_013
id	caadria2016_013
authors	Aschwanden, Gideon D.P.A.
year	2016
title	Neighbourhood detection with analytical tools
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. 13-22
doi	https://doi.org/10.52842/conf.caadria.2016.013
summary	The increasing population size of cities makes the urban fabric ever more complex and more disintegrated into smaller areas, called neighbourhoods. This project applies methods from geoscience and software engineering to the process of identification of those neighbourhoods. Neighbourhoods, by nature, are defined by connec- tivity, centrality and similarity. Transport and geospatial datasets are used to detect the characteristics of places. An unsupervised learning algorithm is then applied to sort places according to their characteris- tics and detect areas with similar make up: the neighbourhood. The at- tributes can be static like land use or space syntax attributes as well as dynamic like transportation patterns over the course of a day. An un- supervised learning algorithm called Self Organizing Map is applied to project this high dimensional space constituting of places and their attributes to a two dimensional space where proximity is similarity and patterns can be detected – the neighbourhoods. To summarize, the proposed approach yields interesting insights into the structure of the urban fabric generated by human movement, interactions and the built environment. The approach represents a quantitative approach to ur- ban analysis. It reveals that the city is not a polychotomy of neigh- bourhoods but that neighbourhoods overlap and don’t have a sharp edge.
keywords	Data analytics; urban; learning algorithms; neighbourhood delineation
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	acadia16_362
id	acadia16_362
authors	Beesley, Philip; Ilgun, Zeliha, Asya; Bouron, Giselle; Kadish, David; Prosser, Jordan; Gorbet, Rob; Kulic, Dana; Nicholas, Paul; Zwierzycki, Mateusz
year	2016
title	Hybrid Sentient Canopy: An implementation and visualization of proprioreceptive curiosity-based machine learning
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. 362-371
doi	https://doi.org/10.52842/conf.acadia.2016.362
summary	This paper describes the development of a sentient canopy that interacts with human visitors by using its own internal motivation. Modular curiosity-based machine learning behaviour is supported by a highly distributed system of microprocessor hardware integrated within interlinked cellular arrays of sound, light, kinetic actuators and proprioreceptive sensors in a resilient physical scaffolding system. The curiosity-based system involves exploration by employing an expert system composed of archives of information from preceding behaviours, calculating potential behaviours together with locations and applications, executing behaviour and comparing result to prediction. Prototype architectural structures entitled Sentient Canopy and Sentient Chamber developed during 2015 and 2016 were developed to support this interactive behaviour, integrating new communications protocols and firmware, and a hybrid proprioreceptive system that configured new electronics with sound, light, and motion sensing capable of internal machine sensing and externally- oriented sensing for human interaction. Proprioreception was implemented by producing custom electronics serving photoresistors, pitch-sensing microphones, and accelerometers for motion and position, coupled to sound, light and motion-based actuators and additional infrared sensors designed for sensing of human gestures. This configuration provided the machine system with the ability to calculate and detect real-time behaviour and to compare this to models of behaviour predicted within scripted routines. Testbeds located at the Living Architecture Systems Group/Philip Beesley Architect Inc. (LASG/PBAI, Waterloo/Toronto), Centre for Information Technology (CITA, Copenhagen) National Academy of Sciences (NAS) in Washington DC are illustrated.
keywords	intedisciplinary/collaborative design, intelligent environments, artificial intelligence, sensate systems
series	ACADIA
type	paper
email
last changed	2022/06/07 07:54

_id	ecaade2016_079
id	ecaade2016_079
authors	Cheng, Chi-Li and Hou, June-Hao
year	2016
title	Biomimetic Robotic Construction Process - An approach for adapting mass irregular-shaped natural materials
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. 133-142
doi	https://doi.org/10.52842/conf.ecaade.2016.1.133
wos	WOS:000402063700015
summary	Beaver dams are formed by two main processes. One is that beavers select proper woods for constructing. The other one is that streams aggregate those woods to be assembled. Using this approach to construction structure is suitable for natural environment. In this paper, we attempt to develop a construction process which is suitable for all-terrain construction robot in the future. This construction process is inspired by beavers' construction behavior in nature. Beavers select proper sticks to make the structure stable. We predict that particular properties of sticks contribute gravity-driven assembly of wood structure. Thus, we implement the system with machine learning to find proper properties of sticks to improve selection mechanism of construction process. During this construction process, 3D scanner on robotic arm scans and recognizes sticks on terrain, and then robot will select proper sticks and place them. After placement, the system will scan and record the results for learning mechanism.
keywords	Biomimetic Design; Machine Learning; Natural Material; Point Cloud Analysis; Robotic Fabrication
series	eCAADe
email
last changed	2022/06/07 07:55

_id	sigradi2016_583
id	sigradi2016_583
authors	Chiarella, Mauro; Martini, Sebastián; Giraldi, Sebastián; Góngora, Nicolás; Picco, Camila
year	2016
title	Cultura Maker. Dispositivos, Prótesis Robóticas y Programación Visual en Arquitectura y Dise?o para eficiencia energética [Culture Maker. Devices, Prostheses Robotics and Visual Programming in Architecture and Design for energy efficiency.]
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.961-968
summary	The Maker movement is the ability to be small and at the same time world; craftsmanship and innovative; high technology and low cost. The Maker movement is doing for physical products what the open source made by the software. The Maker culture emphasizes collaborative learning and distributed cognition. Its knowledge base repository and channels of exchange of ideas and information are: web sites; social networks; the Hackerspaces and Fab-Labs. Three experiences presented with devices; prostheses robotics and CNC machines, based on logical replacement; adaptation and generation. Its authors are undergraduate and graduate fellows Industrial Design and Architecture.
keywords	Maker culture; Prostheses Robotics; Visual Programming; Energy Efficiency; Adaptive Skin
series	SIGRADI
email
last changed	2021/03/28 19:58

_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	sigradi2016_805
id	sigradi2016_805
authors	Cormack, Jordan; Sweet, Kevin S.
year	2016
title	Parametrically Fabricated Joints: Creating a Digital Workflow
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.412-417
summary	Timber joinery for furniture and architectural purpose has always been identified as a skill or craft. The craft is the demonstration of hand machined skill and precision which is passed down or developed through the iteration of creation and refined reflection. Using digital fabrication techniques provides new, typically unexplored ways of creating and designing joints. It is as if these limitations which bind the ratio of complexity and use are stretched. This means that these joints, from a technical standpoint, can be more advanced than historically hand-made joints as digital machines are not bound by the limitations of the human. The research investigated in this paper explores the ability to create sets of joints in a parametric environment that will be produced with CNC machines, thus redefining the idea of the joint through contemporary tools of creation and fabrication. The research also aims to provide a seamless, digital workflow from the flexible, parametric creation of the joint to the final physical fabrication of it. Traditional joints, more simple in shape and assembly, were first digitally created to ease the educational challenges of learning a computational workflow that entailed the creation and fabrication of geometrically programmed joints. Following the programming and manufacturing of these traditional joints, more advanced and complex joints were created as the understanding of the capabilities of the software and CNC machines developed. The more complex and varied joints were taken from a CAD virtual environment and tested on a 3-axis CNC machine and 3D printer. The transformation from the virtual environment to the physical highlighted areas that required further research and testing. The programmed joint was then refined using the feedback from the digital to physical process creating a more robust joint that was informed by reality.
keywords	Joinery; digital fabrication; parametric; scripting; machining
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	acadia16_116
id	acadia16_116
authors	Davis, Daniel
year	2016
title	Evaluating Buildings with Computation and Machine Learning
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. 116-123
doi	https://doi.org/10.52842/conf.acadia.2016.116
summary	Although computers have significantly impacted the way we design buildings, they have yet to meaningfully impact the way we evaluate buildings. In this paper we detail two case studies where computation and machine learning were used to analyze data produced by building inhabitants. We find that a building’s ‘data exhaust’ provides a rich source of information for longitudinally analyzing people’s architectural preferences. We argue that computation-driven evaluation could supplement traditional post occupancy evaluations.
keywords	spatial analytics, machine learning, post occupancy evaluation
series	ACADIA
type	paper
email
last changed	2022/06/07 07:55

_id	caadria2016_693
id	caadria2016_693
authors	Fernando, Ruwan; Karine Dupre and Henry Skates
year	2016
title	Tangible User Interfaces for Teaching Building Physics: Towards continuous designing in education
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. 693-702
doi	https://doi.org/10.52842/conf.caadria.2016.693
summary	This paper follows our evaluation and research into designing tangible physical media for the purposes of teaching building physics to undergraduate architecture students. These media interfaces make use of a virtual environment to promote an understanding of the cycles, which govern architectural and urban projects (for example solar studies, the flow of heat, air and water). This project aims to create an ecology of devices which can be used by students to self-direct themselves and harbour critical making in their research methods (with the explicit intent of dissolving the barrier between design and research). The basic premise of this research, is that in light of growing student numbers, more students lacking confidence in numeracy skills as well as the desire to have self-directed or group-directed learning, tangible media has a promising role to play. There are several reasons for this optimism. The first is that a better sense of intuition is gained from an interactive model over reading notes from a lecture or textbook. The second is that tangible media engages in other modes of learning, being valuable to students who have an aptitude for kinesthetic and spatial learning over text-dominant learning.
keywords	Pedagogy; tangible user interfaces; augmented reality; internet of things; designing for teaching
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	caadria2016_819
id	caadria2016_819
authors	Foulcher, Nicholas C.; Hedda H. Askland and Ning Gu
year	2016
title	Disruptions: Impact of Digital Design Technologies on Continuity in Established Design Process Paradigms
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. 819-828
doi	https://doi.org/10.52842/conf.caadria.2016.819
summary	This paper aims to provide a critical understanding of the discipline of architectural education, exploring how digital technology forms part of two Australian architecture schools. Generally accepted as the unbroken and consistent existence or operation of something over a period of time, continuity represents stability without interrup- tion. In the context of architectural design education, continuity aligns almost symbiotically with the design process; a system that facilitates a continuous loop of input, output and feedback for the designer— from defining the brief, collecting information, synthesising and pre- senting a design proposal. Preliminary findings of a larger research study that investigates the role of technology in architecture educa- tion, suggest that cultural patterns of technology adoption and valua- tion exist, valorising particular tools and establishing a framework for design teaching and practice that might disrupt the continuity of stu- dents’ design process. Moreover, the study shows evidence of a dis- ruption of continuity in design school narratives, emphasising the need to rethink design pedagogy and the place of technology herein. Reflecting on these observations, this paper explores the question: when the tools of digital technology challenge the established design process paradigm of an architectural school, how do educators re- spond to such a disruption in continuity?
keywords	Digital design technology: student learning; course delivery; perception; phenomenology
series	CAADRIA
email
last changed	2022/06/07 07:51

_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
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
doi	https://doi.org/10.52842/conf.caadria.2024.2.395
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	caadria2016_839
id	caadria2016_839
authors	Ikeda, Yasushi; Keisuke Toyoda and Tsukasa Takenaka
year	2016
title	The Pedagogical Meanings of an Experimental Full-Size Mock-Up of Computational Design
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. 839-848
doi	https://doi.org/10.52842/conf.caadria.2016.839
summary	Skill in the use of digital media tools is growing more im- portant in architectural education. However parametric objects in computational geometry or digital fabrication as an assist for project- based learning are not in themselves sufficient to extract the potential of computational design. When we consider the performance of a de- sign, or the fundamental purpose of parametric design toolsets in the contemporary context, education must act as a connecter to the ambi- tion of global sustainability. With regards to the advantage of compu- tational methodologies, students benefit by developing a holistic vi- sion of non-standardized assembly technology. This is particularly useful in overcoming problems of mass production, and with the crea- tion of interactive technology that is incrementally adaptable in the process of answering to unpredictable change. In this context, a com- prehensive understanding of digital tools as part of a holistic and eco- logical architectural design mindset is crucial for future designers. Exploring effective ways to guide students in the development of this capability is therefore important. This paper documents a recent effort in this direction through examples of education within a digital design studio. As a conclusion the paper discusses important factors in the encouragement of students as they develop a comprehensive under- standing of the use of digital design culture.
keywords	Digital design studio; full-size mock-up; comprehensive capability; practical performance; project-based learning
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	ascaad2016_041
id	ascaad2016_041
authors	Kartalou, Nikolia
year	2016
title	Visualising Heritage-Memory - The paradigm of Chambers Street
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. 399-408
summary	Aristotle in his treatise, On the Soul, defined memory as knowledge of the past, obtained through seeing, sensing, observing, listening and learning. Memory can be envisaged as the mental imprint of an image that can be recalled through the experience of existing objects and places. How is cultural heritage related to the experience and knowledge called memory? Why do memories appear to have a strong influence in unconscious spatial perception? How can visualisation techniques activate heritage-memory? Buildings, as tangible elements of the historic city, disclose the memories of the past into the present, and direct us to an experience of time through matter. Buildings serve as a link bridging the past with the present, and eventually, the future sites of memory. Their fabric is constantly altered with engraved layers of historical change, a sequence of past events which emerge from the remnants of their structure. The past, imprinted on the city’s artefacts, manifests its tangible form, and through a new reading of heritage, as ‘heritage-memory’, immaterial qualities of previous eras can perhaps be revealed. This paper, part of an ongoing research situated in between theory and practice, argues that the immaterial elements of cultural heritage emerging from historic urban spaces, can be critically explored in a new way through the use of digital technology, as a tool to revisualise the memory of a locus. Taking Chambers Street in the Old Town of Edinburgh as a site of focus, this presentation demonstrates several steps towards visualising the heritage-memory of the site. The paper poses the question of how the site might serve as a memorial itself, revealing to the observer the knowledge of past events engraved on its locus. Chambers Street serves as a paradigm of constructing a virtual narrative of heritage-memory, examining the site in parts and whole.
series	ASCAAD
email
last changed	2017/05/25 13:33

_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
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
doi	https://doi.org/10.52842/conf.acadia.2016.130
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	ecaade2016_242
id	ecaade2016_242
authors	Kovács, Ádám Tamás and Szoboszlai, Mihály
year	2016
title	Experience in CAAD Education Using a MOOC System
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. 269-274
doi	https://doi.org/10.52842/conf.ecaade.2016.1.269
wos	WOS:000402063700030
summary	This paper describes some of the challenges of using a Massive Open Online Course (MOOC) framework system with a variety of digital content. Situated in the 'efficiency' paradigm of digital design methods and Computer Aided Architectural Design (CAAD) education, we allow participants to set their own schedules, meet demands that are appropriate for their abilities, and determine their own path. The content within this framework motivates students through life-like tasks and examples. This paper shares our experiences in CAAD education through a course curriculum developed by applying a variety of digital content. We have focused on resolving the problem of inefficient teaching of CAAD systems by developing a blended learning curriculum.
keywords	CAAD; education; b-learning; MOOC; curriculum analytics; mind-map
series	eCAADe
email
last changed	2022/06/07 07:51

_id	ecaade2016_038
id	ecaade2016_038
authors	Lee, Jongwook, Min, Aram and Lee, Jihyun
year	2016
title	An Intuitive Heritage Education System for Learning Architectural Structures and Styles - Focusing on the historical Korean architectures
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. 529-537
doi	https://doi.org/10.52842/conf.ecaade.2016.2.529
wos	WOS:000402064400053
summary	Although national and international attention toward the cultural heritage is on a rise, there is a lack of public attention toward cultural heritage sites. One of the main problems is the lack of interaction and the visualization of cultural heritage on the sites. Especially Korean historical architectures are structurally complex and are not easily understood by common people. To improve the public awareness of architectural heritages, we propose a model-based diagnosis system to educate the visitors and tourists. The system is designed to guide the users to model an appropriate architecture in accordance with the era, location, and the usage. For the system, we built a robust set of cases based on the ontological structure we designed especially for architectural heritage education. It basically enables users to reconstruct buildings intuitively in six steps from bottom to top. A system evaluation was conducted on the affective, cognitive, operative aspect of the system at a heritage site. The results show well in terms of cognitive aspect but was evaluated poorly in terms of the operative aspect.
keywords	Historical Korean architecture; JESS rule engine; heritage education system
series	eCAADe
email
last changed	2022/06/07 07:52

_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

For more results click below: