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 539

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

_id	ecaade2017_181
id	ecaade2017_181
authors	Balaban, Özgün and Tunçer, Bige
year	2017
title	Visualizing and Analising Urban Leisure Runs by Using Sports Tracking Data
doi	https://doi.org/10.52842/conf.ecaade.2017.1.533
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. 533-540
summary	Recently there has been a significant growth on the usage of personal fitness applications running on smart phones or fitness devices. These applications record millions of GPS points generated from the paths of runners. This data can be analyzed to comprehend behavior of runners within a specific location. In this study, using data generated from several sources such as Endomondo and Strava and other complementary data such as climate data, population data etc., we aim to find out the factors affecting running behavior in urban settings. For this purpose, visualizations of running activities are plotted with different variables by using BIG-DID, a software tool we developed as part of this study. Additionally, an evaluation of the tools used or can be used for data analysis and visualizations discussed. Finally, a linear regression model is introduced, which will be further developed in later stages of this study.
keywords	Big Data; Urban Visualization; Fitness Applications; Leisure Runs
series	eCAADe
email
last changed	2022/06/07 07:54

_id	cf2017_101
id	cf2017_101
authors	Chen, Nai Chun; Zhang, Yan; Stephens, Marrisa; Nagakura, Takehiko; Larson, Kent
year	2017
title	Urban Data Mining with Natural Language Processing: Social Media as Complementary Tool for Urban Decision Making
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. 101-109.
summary	The presence of web2.0 and traceable mobile devices creates new opportunities for urban designers to understand cities through an analysis of user-generated data. The emergence of “big data” has resulted in a large amount of information documenting daily events, perceptions, thoughts, and emotions of citizens, all annotated with the location and time that they were recorded. This data presents an unprecedented opportunity to gauge public opinion about the topic of interest. Natural language processing with social media is a novel tool complementary to traditional survey methods. In this paper, we validate these methods using tourism data from Trip-Advisor in Andorra. “Natural language processing” (NLP) detects patterns within written languages, enabling researchers to infer sentiment by parsing sentences from social media. We applied sentiment analysis to reviews of tourist attractions and restaurants. We found that there were distinct geographic regions in Andorra where amenities were reviewed as either uniformly positive or negative. For example, correlating negative reviews of parking availability with land use data revealed a shortage of parking associated with a known traffic congestion issue, validating our methods. We believe that the application of NLP to social media data can be a complementary tool for urban decision making.
keywords	Short Paper, Urban Design Decision Making, Social Media, Natural Language Processing
series	CAAD Futures
email
last changed	2017/12/01 14:37

_id	ecaade2017_148
id	ecaade2017_148
authors	Baseta, Efilena, Sollazzo, Aldo, Civetti, Laura, Velasco, Dolores and Garcia-Amorós, Jaume
year	2017
title	Photoreactive wearable: A computer generated garment with embedded material knowledge - A computer generated garment with embedded material knowledge
doi	https://doi.org/10.52842/conf.ecaade.2017.2.317
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. 317-326
summary	Driven by technology, this multidisciplinary research focuses on the implementation of a photomechanical material into a reactive wearable that aims to protect the body from the ultraviolet radiation deriving from the sun. In this framework, the wearable becomes an active, supplemental skin that not only protects the human body but also augments its functions, such as movement and respiration. The embedded knowledge enables the smart material to sense and exchange data with the environment in order to passively actuate a system that regulates the relation between the body and its surroundings in an attempt to maintain equilibrium. The design strategy is defined by 4 sequential steps: a) The definition of the technical problem, b) the analysis of the human body, c) the design of the reactive material system, as well as d) the digital simulations and the digital fabrication of the system. The aforementioned design strategies allow for accuracy as well as high performance optimization and predictability in such complex design tasks, enabling the creation of customized products, designed for individuals.
keywords	smart materials; wearable technology; data driven design; reactive garment; digital fabrication; performance simulations
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2017_001
id	ecaade2017_001
authors	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.)
year	2017
title	ShoCK! – Sharing of Computable Knowledge!, Volume 2
doi	https://doi.org/10.52842/conf.ecaade.2017.2
source	ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, 760 p.
summary	Internet of Things, pervasive nets, Knowledge ‘on tap’, Big Data, Wearable devices and the ‘Third wave’ of AI are disruptive technologies that are upsetting our globalised world as far as it can be foreseen from now. So academicians, professionals, researchers, innovation factories... are warmly invited to further shake up and boost our innovative and beloved CAAD world with new ideas, paradigms and points of view. Will our fine buildings and design traditions survive? Or, will they ‘simply’ be hybridized and enhanced by methods, techniques and CAAD tools? Obviously computation is needed to match the evergrowing performance requirements, but this is not enough to answer all these questions we have to deal with the essence of problems: improve design solutions for a better life. As life is not a matter of single individuals, we need to increase collaboration and to improve knowledge sharing. This means taking care of human beings, and involves a humanistic approach, and the long history of humankind ... from humans to thinking to technology ... and vice versa. A circle of human beings as eternal as our city.
series	eCAADe
last changed	2022/06/07 07:49

_id	ecaade2017_000
id	ecaade2017_000
authors	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.)
year	2017
title	ShoCK! – Sharing of Computable Knowledge!, Volume 1
doi	https://doi.org/10.52842/conf.ecaade.2017.1
source	ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, 770 p.
summary	Internet of Things, pervasive nets, Knowledge ‘on tap’, Big Data, Wearable devices and the ‘Third wave’ of AI are disruptive technologies that are upsetting our globalised world as far as it can be foreseen from now. So academicians, professionals, researchers, innovation factories... are warmly invited to further shake up and boost our innovative and beloved CAAD world with new ideas, paradigms and points of view. Will our fine buildings and design traditions survive? Or, will they ‘simply’ be hybridized and enhanced by methods, techniques and CAAD tools? Obviously computation is needed to match the evergrowing performance requirements, but this is not enough to answer all these questions we have to deal with the essence of problems: improve design solutions for a better life. As life is not a matter of single individuals, we need to increase collaboration and to improve knowledge sharing. This means taking care of human beings, and involves a humanistic approach, and the long history of humankind ... from humans to thinking to technology ... and vice versa. A circle of human beings as eternal as our city.
series	eCAADe
last changed	2022/06/07 07:49

_id	ecaade2017_255
id	ecaade2017_255
authors	Heinrich, Mary Katherine, Ayres, Phil and Bar-Yam, Yaneer
year	2017
title	A Multiscale Model of Morphological Complexity in Cities - Characterising Emergent Homogeneity and Heterogeneity
doi	https://doi.org/10.52842/conf.ecaade.2017.2.561
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. 561-570
summary	Approaches from complex systems science can support design decision-making by extracting important information about key dependencies from large, unstructured data sources. This paper presents an initial case study applying such approaches to city structure, by characterising low-level features and aggregate properties of artifact morphology in urban areas. First, shape analysis is used to describe microscale artifact clusters, analysed in aggregate to characterise macroscale homogeneity and heterogeneity. The characterisation is used to analyse real-world example cities, from both historic maps and present-day crowdsourced data, testing against two performance evaluation criteria. Next, the characterisation is used to generate simple artificial morphologies, suggesting directions for future development. Finally, results and extensions are discussed, including real-world applications for decision support.
keywords	Complex systems; morphology; shape analysis; urban planning
series	eCAADe
email
last changed	2022/06/07 07:49

_id	ecaade2017_042
id	ecaade2017_042
authors	Hitchings, Katie, Patel, Yusef and McPherson, Peter
year	2017
title	Analogue Automation - The Gateway Pavilion for Headland Sculpture on the Gulf
doi	https://doi.org/10.52842/conf.ecaade.2017.2.347
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. 347-354
summary	The Waiheke Gateway Pavilion, designed by Stevens Lawson Architects originally for the 2010 New Zealand Venice Biennale Pavilion, was brought to fruition for the 2017 Headland Sculpture on the Gulf Sculpture trail by students from Unitec Institute of Technology. The cross disciplinary team comprised of students from architecture and construction disciplines working in conjunction with a team of industry professionals including architects, engineers, construction managers, project managers, and lecturers to bring the designed structure, an irregular spiral shape, to completion. The structure is made up of 261 unique glulam beams, to be digitally cut using computer numerical control (CNC) process. However, due to a malfunction with the institutions in-house CNC machine, an alternative hand-cut workflow approach had to be pursued requiring integration of both digital and analogue construction methods. The digitally encoded data was extracted and transferred into shop drawings and assembly diagrams for the fabrication and construction stages of design. Accessibility to the original 3D modelling software was always needed during the construction stages to provide clarity to the copious amounts of information that was transferred into print paper form. Although this design to fabrication project was challenging, the outcome was received as a triumph amongst the architecture community.
keywords	Digital fabrication; workflow; rapid prototyping; representation; pedagogy
series	eCAADe
email
last changed	2022/06/07 07:50

_id	ecaade2017_013
id	ecaade2017_013
authors	Junk, Stefan and Gawron, Philipp
year	2017
title	Development of parametric CAAD models for the additive manufacturing of scalable architectural models
doi	https://doi.org/10.52842/conf.ecaade.2017.1.419
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. 419-426
summary	Architecture models are an essential component of the development process and enable a physical representation of virtual designs. In addition to the conventional methods of model production using the machining of models made of wood, metal, plastic or glass, a number of additive manufacturing processes are now available. These new processes enable the additive manufacturing of architectural models directly from CAAD or BIM data. However, the boundary conditions applicable to the ability to manufacture models with additive manufacturing processes must also be considered. Such conditions include the minimum wall thickness, which depends on the applied additive manufacturing process and the materials used. Moreover, the need for the removal of support structures after the additive manufacturing process must also be considered. In general, a change in the scale of these models is only possible at very high effort. In order to allow these restrictions to be adequately incorporated into the CAAD model, this contribution develops a parametrized CAAD model that allows such boundary conditions to be modified and adapted while complying with the scale. Usability of this new method is illustrated and explained in detail in a case study. In addition, this article addresses the additive manufacturing processes including subsequent post-processing.
keywords	Digital manufacturing; Parametric design; Architectural model
series	eCAADe
email
last changed	2022/06/07 07:52

_id	caadria2024_87
id	caadria2024_87
authors	Li, Jiongye and Stouffs, Rudi
year	2024
title	Distribution of Carbon Storage and Potential Strategies to Enhance Carbon Sequestration Capacity in Singapore: A Study Based on Machine Learning Simulation and Geospatial Analysis
doi	https://doi.org/10.52842/conf.caadria.2024.2.089
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. 89–98
summary	The expansion of urbanization leads to significant changes in land use, consequently affecting carbon storage. This research aims to investigate the carbon loss due to land use alterations and proposes strategies for mitigation. Utilizing existing land use data from 2017 and 2022, along with simulated data for 2025 generated by an ANN model and Cellular Automata, we identified changes in land use. These changes were then correlated with variations in carbon storage, both gains and losses. Our findings reveal a significant loss of 36,859 metric tons of carbon storage from 2017 to 2022. The projection for 2025 estimates a further reduction, reaching a total loss of 83,409 metric tons. By employing the LISA method, we identified that low-carbon storage zones are concentrated in the southeast region of the research site. By overlaying these zones with areas of carbon storage loss, we pinpointed regions severely affected by carbon depletion. Consequently, we propose that mitigation strategies should be imperatively implemented in these identified areas to counteract the trend of carbon storage loss. This approach offers urban planners a solution to identify areas experiencing carbon storage decline. Moreover, our research methodology provides a novel framework for scholars studying similar carbon issues.
keywords	land use and land cover (LULC) changes, simulated LULC, machine learning model, carbon storage changes, GIS
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	ecaade2017_067
id	ecaade2017_067
authors	Liu, Chenjun, Wang, Tsung-Hsien, Meagher, Mark and Peng, Chengzhi
year	2017
title	Feather-inspired social media data processing for generating developable surfaces: Prototyping an affective architecture - Prototyping an affective architecture
doi	https://doi.org/10.52842/conf.ecaade.2017.1.181
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. 181-190
summary	This paper presents the development of an interactive installation intended as a prototype of experimental affective architecture connected with social media data processing. Social moods and emotions are now spread more widely and faster than ever before due to pervasive uses of social media platforms. We explore how data processing of users' expressions and sharing of moods/emotions through social media can become a source of influences on shaping the form and behaviour of interactive architecture. The interactive prototyping method includes (1) a feather-inspired data-to-shape rule system together with the ShapeOp Library for generating strips as developable surfaces, (2) a physical computing platform built with Arduino micro-processor and shape memory alloy springs for actuation, and (3) physical model-making. As a prototype of social media aware affective architecture, an interactive installation design is proposed for a campus space where the actuation of the strip installation is linked to data processing of Twitter messages collated from users on campus. We reflect on the prototyping methodology and the implications of an architecture affected by people's expression of moods/emotions through social media.
keywords	social media data processing; developable surfaces; interactive prototyping; shape memory alloy; elastic morphing; ShapeOp
series	eCAADe
email
last changed	2022/06/07 07:59

_id	ecaade2017_019
id	ecaade2017_019
authors	Liu, Yuezhong, Stouffs, Rudi and Tablada, Abel
year	2017
title	Rethinking the Urban Design Process from a Data Perspective
doi	https://doi.org/10.52842/conf.ecaade.2017.1.449
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. 449-460
summary	Urban design always requires the processing of large amounts of data from multi-disciplinary sources during the decision-making stages. However, unfamiliar multi-disciplinary data sets can only lead to confusion and uncertainty. This research proposes a data-driven approach for supporting the urban design process. A hybrid data mining method is used to cluster, classify and rank solution-instances according to geometrical properties and energy performance. An urban design case study is used to demonstrate the proposed method with respect to two performance issues: solar heat gains and natural ventilation. The result shows that the method addressing both familiar and unfamiliar data can effectively guide the designer during the design process.
keywords	energy performance; S3VM; decision tree; familiar and unfamiliar
series	eCAADe
email
last changed	2022/06/07 07:59

_id	ecaade2017_017
id	ecaade2017_017
authors	Markkanen, Piia, Pihlajaniemi, Henrika and Herneoja, Aulikki
year	2017
title	Adaptive Lighting for Knowledge Work Environments - A Pilot Design
doi	https://doi.org/10.52842/conf.ecaade.2017.1.343
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. 343-352
summary	Adaptive lighting technologies and control of lighting by users provide new possibilities for lighting design in the context of knowledge work environments. In our research project, we study innovation supporting knowledge work environments and their features, such as lighting. In this paper, we present and reflect the design of a pilot intervention, where the use of adaptive lighting was tested. We discuss how different forms of data and knowledge can be applied as a rationale for adaptive lighting behaviour which as an ambient feature in office environment supports knowledge workers' well-being and supports different working situations. In addition, we present the data-based evaluation methods with which we could gain feedback from users' experiences and their way of using the lighting and the pilot office environment. The potential of this kind of real-world data for future design processes is discussed.
keywords	knowledge work environment; adaptive lighting; dynamic lighting; user-controlled lighting; lighting design
series	eCAADe
email
last changed	2022/06/07 07:59

_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	ecaade2017_066
id	ecaade2017_066
authors	Panagoulia, Eleanna
year	2017
title	The role of Open Data in identifying and evaluating the Livability of Urban Space - Importance and Method
doi	https://doi.org/10.52842/conf.ecaade.2017.1.495
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. 495-504
summary	The past decade has experienced a staggering rise of data-aided analysis that facilitate understanding the impact of socio-economic flux and socially oriented activities towards the quality and livability of space. Evaluating urban environments is not only important from the planners' perspective, but has larger implications for the residents themselves. In this paper we argue that the livability of a city or a neighborhood is not necessarily described by conventional, authoritative data, such as income, crime, education level etc., but the combination with ephemeral data layers, related to human perception and desire, can be more effective in capturing the dynamics of space. Implementing methods that are considered disassociated with urban analytics, we attempt to go beyond the conventions in understanding the dynamics that drive socio-economic phenomena and construct lived space. Our objective is to create methodologies of anticipating and evaluating urban environment by re-patterning different datasets and taking advantage of their combinatory potential.
keywords	Livability; Data-aided Analysis; Open Data; Human Factor
series	eCAADe
email
last changed	2022/06/07 08:00

_id	ecaade2017_023
id	ecaade2017_023
authors	Pankiewicz, Mateusz
year	2017
title	Causes and effects - Methodologies used in digitalization of architectural-urban heritage
doi	https://doi.org/10.52842/conf.ecaade.2017.2.025
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. 25-30
summary	Since some time already, digital reconstructions in architecture, urbanism and archaeology are gradually switching from describing built heritage as a collection of static and unchangeable entities towards more compound and explicit presentation and knowledge management techniques. This includes for instance data management and multimedia systems, immersive environments or semantic information modelling such as GIS (Geospatial Information Systems), BIM (Building Information Modeling) or HBIM (Historic Building Information Modeling). Graphical user interfaces, interaction and usability have become an essential part of produced reconstructions. This shift in terms of dissemination of an architectural and urban heritage that is supposed to increase the social awareness and participation should be structured in a way that enables recipients originating from different backgrounds to grasp information pertaining to almost any knowledge domain, allowing for self-exploration and interpretation of presented knowledge. This paper discusses important nodes of the reconstruction process in the spirit of informative modelling that are characteristic for any possible approach towards conscious heritage representations.
keywords	Informative modelling; Spatio-temporal modelling; Cultural heritage
series	eCAADe
email
last changed	2022/06/07 08:00

_id	ecaade2017_090
id	ecaade2017_090
authors	Patlakas, Panagiotis, Livingstone, Andrew and Hairstans, Robert
year	2017
title	An Automated Code Compliance system within a BIM environment
doi	https://doi.org/10.52842/conf.ecaade.2017.1.153
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. 153-160
summary	The present paper presents a framework for an Automated Code Compliance (ACC) system within a BIM environment. We begin by introducing the concept of ACC and its applicability in contemporary practice in general and BIM in particular. We proceed by introducing the mathematical method of Multi-Dimensional Data Fitting (MDDF) to develop singular structural design equations from multi-dimensional datasets of structural design equations employed in international design codes. We follow this by demonstrating how the MDDF output has been implemented in BIM-based software, to achieve code compliance. Finally, we demonstrate the overarching framework and how this can be implemented on a wide scale to achieve full ACC.
keywords	Automatic Code Compliance; BIM; Timber
series	eCAADe
email
last changed	2022/06/07 07:59

_id	ecaade2017_079
id	ecaade2017_079
authors	Qabshoqa, Mohammad, Kocaturk, Tuba and Kiviniemi, Arto
year	2017
title	A value-driven perspective to understand Data-driven futures in Architecture
doi	https://doi.org/10.52842/conf.ecaade.2017.2.407
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. 407-416
summary	This paper reports on an investigation of the potentials of data utilisation in Architecture from a value generation and business creation points of view, based on an ongoing PhD research by the first author. It is of crucial importance to, first, identify what data actually signifies for Architecture, and secondly to explore how the value obtained through data-driven approaches in other industries could potentially be transferred and applied in our professional context. These objectives have been achieved through a qualitative comparative analysis of various cases. Additionally, the paper discusses the multiplicity of factors which contribute to different interpretations and utilisation of data with reference to various value systems embedded into our profession (e.g. design as ideology, design as profession, design as service). A comparative analysis of the existing data utilisation methods in connection with various value systems provide crucial insights in order to answer the following questions: How can data assess values in architectural design/practice? How can data utilisation give way to the emergence of new values for the profession?
keywords	Big Data in Architecture; Data-Driven Architecture Design; Data in Architecture Design; Computational Data Design; Digital Value in Architecture
series	eCAADe
email
last changed	2022/06/07 07:58

_id	ecaade2023_259
id	ecaade2023_259
authors	Sonne-Frederiksen, Povl Filip, Larsen, Niels Martin and Buthke, Jan
year	2023
title	Point Cloud Segmentation for Building Reuse - Construction of digital twins in early phase building reuse projects
doi	https://doi.org/10.52842/conf.ecaade.2023.2.327
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. 327–336
summary	Point cloud processing has come a long way in the past years. Advances in computer vision (CV) and machine learning (ML) have enabled its automated recognition and processing. However, few of those developments have made it through to the Architecture, Engineering and Construction (AEC) industry. Here, optimizing those workflows can reduce time spent on early-phase projects, which otherwise could be spent on developing innovative design solutions. Simplifying the processing of building point cloud scans makes it more accessible and therefore, usable for design, planning and decision-making. Furthermore, automated processing can also ensure that point clouds are processed consistently and accurately, reducing the potential for human error. This work is part of a larger effort to optimize early-phase design processes to promote the reuse of vacant buildings. It focuses on technical solutions to automate the reconstruction of point clouds into a digital twin as a simplified solid 3D element model. In this paper, various ML approaches, among others KPConv Thomas et al. (2019), ShapeConv Cao et al. (2021) and Mask-RCNN He et al. (2017), are compared in their ability to apply semantic as well as instance segmentation to point clouds. Further it relies on the S3DIS Armeni et al. (2017), NYU v2 Silberman et al. (2012) and Matterport Ramakrishnan et al. (2021) data sets for training. Here, the authors aim to establish a workflow that reduces the effort for users to process their point clouds and obtain object-based models. The findings of this research show that although pure point cloud-based ML models enable a greater degree of flexibility, they incur a high computational cost. We found, that using RGB-D images for classifications and segmentation simplifies the complexity of the ML model but leads to additional requirements for the data set. These can be mitigated in the initial process of capturing the building or by extracting the depth data from the point cloud.
keywords	Point Clouds, Machine Learning, Segmentation, Reuse, Digital Twins
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ecaade2017_256
id	ecaade2017_256
authors	Symeonidou, Ioanna
year	2017
title	Reinventing Design-Build projects with the use of digital media for design and construction - A survey of 120 educational pavilions
doi	https://doi.org/10.52842/conf.ecaade.2017.1.231
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. 231-240
summary	During the last decade the hype for digitally fabricated educational pavilions has become very popular among architecture schools. A survey with the aim to catalogue and classify educational pavilions revealed more than 120 cases of digitally fabricated pavilions within the last decade. The analysis of the sample of 120 Design-Build projects built during the period 2006-2016 revealed, apart from obvious similarities and differences, the prevailing trends relating to the materials and the technology used for the design, manufacturing and assembly. From the processing of the gathered data a set of typologies emerge, which relate both to morphological characteristics as well as to the design process. The paper concludes by discussing the advantages and critical points of this educational practice and the learning outcomes for both students and educators.
keywords	Design-Build; Digital fabrication; architectural education; CAD / CAM; pavilions
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2017_052
id	ecaade2017_052
authors	Vesna, Stojakovic, Budak, Igor, Obradovic, Ratko, Korolija-Crkvenjakov, Daniela and Santosi, Zeljko
year	2017
title	Parametric modeling applied to the virtual reconstruction of the damaged sculpture of St John Nepomuk in Petrovaradin
doi	https://doi.org/10.52842/conf.ecaade.2017.2.389
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. 389-398
summary	Valuable cultural heritage may be permanently damaged as a consequence of different man-made influences, as well as natural erosion. In cases where no documentation is available about the original shape, an analysis of the typological group of similar objects is commonly used as a base for reconstruction. The interpretation of typology can be based on explicit method relied on relevant shape data.The aim of this paper is to propose a method which may be used in the virtual reconstruction of the damaged sculpture of St John Nepomuk in Petrovaradin, Serbia. Virtual reconstruction presented in this paper was based on parametric analysis of the typological group. The spatial characteristics of the sculptures were transformed into measurable parameters which were further used to determine the missing shape such that the reconstruction has the highest probability of representing the true shape of the damaged sculpture based on attributes the same typographical group. We propose three different ways based on how the most likely shape of the missing part may be computed: i) the reconstruction in which average values for each parameter are used; ii) the reconstruction in which average values are used for numerical parameters while spatial parameters were selected from the sculpture with the highest probability for these parameters; iii) the reconstruction in which all of the characteristics are inherited from one real sculpture, closest to the average shape.
keywords	virtual reconstruction; parametric modeling; image-based modeling; cultural heritage
series	eCAADe
email
last changed	2022/06/07 07:58

For more results click below: