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 10 of 10

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

_id	cf2017_667
id	cf2017_667
authors	Cichocka, Judyta; Migalska, Agata; Browne, Will N.; Rodriguez, Edgar
year	2017
title	SILVEREYE– the implementation of Particle Swarm Optimization algorithm in a design optimization tool
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, p. 667.
summary	Engineers and architects are now turning to use computational aids in order to analyze and solve complex design problems. Most of these problems can be handled by techniques that exploit Evolutionary Computation (EC). However existing EC techniques are slow [8] and hard to understand, thus disengaging the user. Swarm Intelligence (SI) relies on social interaction, of which humans have a natural understanding, as opposed to the more abstract concept of evolutionary change. The main aim of this research is to introduce a new solver Silvereye, which implements Particle Swarm Optimization (PSO) in the Grasshopper framework, as the algorithm is hypothesized to be fast and intuitive. The second objective is to test if SI is able to solve complex design problems faster than ECbased solvers. Experimental results on a complex, single-objective high-dimensional benchmark problem of roof geometry optimization provide statistically significant evidence of computational inexpensiveness of the introduced tool.
keywords	Architectural Design Optimization (ADO), Particle Swarm Optimization (PSO), Swarm Intelligence (SI), Evolutionary Computation (EC), Structural Optimization
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	ecaade2017_214
id	ecaade2017_214
authors	Donato, Vincenzo, Giannetti, Stefano and Bocconcino, Maurizio Marco
year	2017
title	H-BIM and web-database to deal with the loss of information due to catastrophic events - The digital reconstruction of San Salvatore's Church in Campi di Norcia (Italy)
doi	https://doi.org/10.52842/conf.ecaade.2017.1.119
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 119-128
summary	Nowadays , we are able to produce geometric models of historical buildings at different scales of detail, using photos and measurements. This is true when you are observing something that is still under your eyes. We are faced more and more with lack of preservation actions and maintenance activities, policies framed without foresight, unexpected natural events, etc., that are forcing professionals and researchers to operate without usual data. In such cases, we need a consistent repository to collect and distribute data to produce information.Furthermore, we need to "give intelligence" to these repositories, in order to query them with respect to geometrical instances, topological issues, historical features, etc. This last aspect, (archives and databases connected with geometrical aspects), lead our digital model to a new dimension, the informative one (where spatial, temporal, historical and building parameters work together), that should always characterize speculative actions towards the constitution of a wealth of knowledge. We need to work on the efficiency of the process to reach effective methodologies of survey.
keywords	cultural heritage; Structure from Motion (SfM); loss information; H-BIM; web-database
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ecaade2017_301
id	ecaade2017_301
authors	Kalantari, Saleh and Ghandi, Mona
year	2017
title	Data-responsive Architectural Design Processes
doi	https://doi.org/10.52842/conf.ecaade.2017.2.503.2
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 503-512
summary	Current advancements in information technology and mechanical components offer incredible new possibilities for innovation in architecture. Many aspects of our physical environment are becoming integrated with information systems, a phenomenon that has been referred to as the "Internet of Things." The implications and applications of this technology are far-reaching, and students who are learning about design in today's environment have a bewildering array of new tools available for their exploration. This paper reviews some of the central concepts of contemporary data-driven design, and describes how these concepts can be used in a pedagogical framework to encourage student innovation. The authors provide details about their work with students in IDR Studios, and highlight some of the innovative design solutions created by students using information-based toolsets. This research provides a pedagogical framework for helping design students to engage with new technological resources as they work to develop the architectural intelligence.
keywords	Adaptive Systems; Internet of Things; Big Data; Data Driven Design Process
series	eCAADe
email
last changed	2022/06/07 07:52

_id	cf2017_110
id	cf2017_110
authors	Koenig, Reinhard; Miao, Yufan; Knecht, Katja; Bus, Peter; Mei-Chih, Chang
year	2017
title	Interactive Urban Synthesis: Computational Methods for Fast Prototyping of Urban Design Proposals
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, p. 110.
summary	In this paper, we present a method for generating fast conceptual urban design prototypes. We synthesize spatial configurations for street networks, parcels and building volumes. Therefore, we address the problem of implementing custom data structures for these configurations and how the generation process can be controlled and parameterized. We exemplify our method by the development of new components for Grasshopper/Rhino3D and their application in the scope of selected case studies. By means of these components, we show use case applications of the synthesis algorithms. In the conclusion, we reflect on the advantages of being able to generate fast urban design prototypes, but we also discuss the disadvantages of the concept and the usage of Grasshopper as a user interface.
keywords	Procedural grammars, Artificial intelligence in design, Urban synthesis, Generative design, Grasshopper plugin, Cognitive design computing
series	CAAD Futures
email
last changed	2017/12/01 14:37

_id	ecaade2023_44
id	ecaade2023_44
authors	Mayrhofer-Hufnagl, Ingrid and Ennemoser, Benjamin
year	2023
title	From Linear to Manifold Interpolation: Exemplifying the paradigm shift through interpolation
doi	https://doi.org/10.52842/conf.ecaade.2023.2.419
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 419–429
summary	The advent of artificial intelligence, specifically neural networks, has marked a significant turning point in the field of computation. During such transformative times, we are often faced with a dearth of appropriate vocabulary, which forces us to rely on existing terms, regardless of their inadequacy. This paper argues that the term “interpolation,” typically used in deep learning (DL), is a prime example of this phenomenon. It is not uncommon for beginners to misunderstand its meaning, as DL pioneer Francois Chollet (2017) has noted. This misreading is especially true in the discipline of architecture, and this study aims to demonstrate how the meaning of “interpolation” has evolved in the second digital turn. We begin by illustrating, using 2D data, the difference between linear interpolation in the context of topological figures and its use in DL algorithms. We then demonstrate how 3DGANs can be employed to interpolate across different topologies in complex 3D space, highlighting the distinction between linear and manifold interpolation. In both 2D and 3D examples, our results indicate that the process does not involve continuous morphing but instead resembles the piecing together of a jigsaw puzzle to form many parts of a larger ambient space. Our study reveals how previous architectural research on DL has employed the term “interpolation” without clarifying the crucial differences from its use in the first digital turn. We demonstrate the new possibilities that manifold interpolation offers for architecture, which extend well beyond parametric variations of the same topology.
keywords	Interpolation, 3D Generative Adversarial Networks, Deep Learning, Hybrid Space
series	eCAADe
email
last changed	2023/12/10 10:49

_id	cf2017_199
id	cf2017_199
authors	Mokhtar, Sarah; Leung, Christopher; Chronis, Angelos
year	2017
title	Neighbourhood Shading Impacts on Passive Adaptive Façade Collective Behaviour
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 199-210.
summary	The past decade witnessed a shift in adaptive facades from energyintensive complex systems to material-based actuated facades. The latter, however, were only developed with limited control in shape memory alloy applications, and more generally designed as independent components. The perception of the component within a system as a self-regulating entity was shown to widen the behavioural response and intelligence of an adaptive system in several projects. On the other hand, its range of impact and integration as a design factor were not targeted at full breadth in the literature. The study’s objective was to investigate the incorporation of neighbourhood shading behaviour of a shape memory alloy-actuated façade component on the entire system. Based on a designed adaptive component, the research identifies the shading impact on the actuators’ incident solar radiation as well as its hourly and seasonal range, and thus encourages a better prediction of collective behaviour.
keywords	Solar Morphing Envelopes, Neighbourhood Shading, Collective Behaviour, Adaptive Facades.
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	cf2017_630
id	cf2017_630
authors	Muehlbauer, Manuel; Song, Andy; Burry, Jane
year	2017
title	Towards Intelligent Control in Generative Design
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 630-647.
summary	This position paper proposes and defines the nature of a framework, which explores ways of integrating control system (CS) with machine intelligence for generative design (GD). This paper elaborates about the implications of and the potential for impact on GD. The framework described in this work can be used as an active tool to drive design processes and support decision making process in early stages of architectural design. This type of system can be either automated in nature or adaptive to regular user input as part of interactive design mechanisms. The module of CS in the framework would allow additional guidance during design and therefore reduce the need of manual input to enable a semi-automated design practice for lengthy generative processes. This study on GD reveals emergent properties of the framework, for example the introduction of intelligent control allows guidance of GD to meet specified performance criteria and intended aesthetic expressions with reduced need for user interaction.
keywords	Semi-Automated Design, Evolutionary Architecture, Generative Design, Architectural Optimisation, Artificial Intelligence
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	ecaade2017_271
id	ecaade2017_271
authors	Narahara, Taro
year	2017
title	Collective Construction Modeling and Machine Learning: Potential for Architectural Design
doi	https://doi.org/10.52842/conf.ecaade.2017.2.341
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 341-348
summary	Recently, there are significant developments in artificial intelligence using advanced machine learning algorithms such as deep neural networks. These new methods can defeat human expert players in strategy-based board games such as Go and video games such as Breakout. This paper suggests a way to incorporate such advanced computing methods into architectural design through introducing a simple conceptual design project inspired by computational interpretations of wasps' collective constructions. At this stage, the paper's intent is not to introduce a practical and fully finished tool directly useful for architectural design. Instead, the paper proposes an example of a program that can potentially become a conceptual framework for incorporating such advanced methods into architectural design.
keywords	Design tools; Stigmergy; Machine learning
series	eCAADe
email
last changed	2022/06/07 07:58

_id	cf2017_321
id	cf2017_321
authors	Rossini, Francesco Livio; Novembri, Gabriele; Fioravanti, Antonio
year	2017
title	AS&BIM – A Unified Model of Agent Swarm and BIM to Manage the Complexity of the Building Process
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 321-332.
summary	Analyzing the success rate of the building process, it emerges that it is an industrial sector that lacks efficiency. Nevertheless, during decades the trend was to compare and bring into contact manufacturing management procedures vis-?-vis the building industry. But, whilst a manufacturing product is essentially a standard object produced in a controlled environment, a building is a prototype in itself. To bridge this gap research on Artificial Intelligence was conducted, so as to move from the traditional trial-and-error process to the simulation approach, defining in a virtual environment results of design and management choices before the real application, thus mitigating risks. To attain these results, a prototype was developed based on the Hybrid Actor Agent approach. The Agents, governed by their rules, behaviors and goals, define actions while Actors manage communication among them. The Network intertwined among these Agent/Actor systems is capable of stratifying knowledge based on the success rate of the choices made. The result of these concurrent computations is an optimized building process flow-chart
keywords	Artificial Intelligence, Project Management, Building Information Modeling
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	ecaade2017_254
id	ecaade2017_254
authors	Werner, Liss C.
year	2017
title	A cloud recycling light - (human) feedback matters
doi	https://doi.org/10.52842/conf.ecaade.2017.1.699
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 699-708
summary	The paper focuses on the question "How does our built environment, urban culture and architectural production change through humans feeding back into digital systems of pre-fabrication and systems fostering industry 4.0?" It discusses some risks and possibilities of digitisation and the city in an era of sustainability, networked design methods, production processes and digital communication tools in the midst of The Internet of Things. Glimpses into the case studies 'a cloud recycling light', 'dynamic field feedback' and 'urban rigid origami switch' discuss the impact of material behaviour, human and machine feedback into digital systems - their behaviour, their ways of communication, the possibility of optimising future design iterations and their form. All of which may result in new architectural and urban typologies, driven by increasingly agile ways of weaving together complex systems.
keywords	Industry 4.0; industrial production; Internet of Things; cybernetics; collective intelligence; feedback
series	eCAADe
email
last changed	2022/06/07 07:57

No more hits.