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

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_id cf2015_099
id cf2015_099
authors Dickinson, Susannah
year 2015
title Hybrid Connections: Computational Mapping Methodologies for Mexico City
source The next city - New technologies and the future of the built environment [16th International Conference CAAD Futures 2015. Sao Paulo, July 8-10, 2015. Electronic Proceedings/ ISBN 978-85-85783-53-2] Sao Paulo, Brazil, July 8-10, 2015, pp. 99-111.
summary The digital age is facilitating an ever increasing trend of globalized language and culture. Environmental issues are no longer a static concept as climate change and population growth force concepts of adaptability. What does this mean for the academy? How do we educate students to contemplate future urban scenarios and make some organization out of this more dynamic, complex future? The following paper seeks to disseminate a spring 2014 design studio at The University of Arizona where these issues were addressed, with Mexico City as a test bed. Computation has become a vital tool in the organizational process of these complex issues and big data. Various digital tools and platforms were explored in the studio to determine which ones would be most useful in modeling, mapping, designing and processing some of the complex relationships that are present in urban environments today.
keywords digital methodologies, urban design, complexity, hybridized networks, adaptability
series CAAD Futures
email
last changed 2015/06/29 07:55

_id acadia14_619
id acadia14_619
authors Erhan, Halil; Wang, Ivy; Shireen, Naghmi
year 2014
title Interacting with Thousands: A Parametric-Space Exploration Method in Generative Design
source ACADIA 14: Design Agency [Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 9781926724478]Los Angeles 23-25 October, 2014), pp. 619-626
doi https://doi.org/10.52842/conf.acadia.2014.619
summary Although generative and parametric design methods open possibilities for working with a large number of solutions, there is almost no computational support for designers to directly manage, sort, filter, and select the generated designs. In this study, we propose an approach that presents a similarity-based design exploration relying on similarity indices that aims to reduce and collapse design space into manageable scales.
keywords parametric design, generative methods, design space reduction, similarity metrics and indices, similarity matrix; BIG DATA
series ACADIA
type Normal Paper
email
last changed 2022/06/07 07:55

_id acadia14_389
id acadia14_389
authors Johnson, Jason; Parker, Matthew
year 2014
title This is not a Glitch: Algorithms and Anomalies in Google Architecture
source ACADIA 14: Design Agency [Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 9781926724478]Los Angeles 23-25 October, 2014), pp. 389-398
doi https://doi.org/10.52842/conf.acadia.2014.389
summary This paper presents a body of research that explores the ways in which computer vision is being paired with big data collection engines to map/simulate the physical environment in digital space. These algorithms are producing increasingly ubiquitous representations of 3 dimensional space which are accessed by governments, security agencies, private citizens and in the context of this paper, designers. Designers often accept these simulations as highly accurate despite understanding very little about how they are produced. 
keywords Big Data, Simulation and Representation, Google Earth, Image Mapping, Computational Design, Computer Vision
series ACADIA
type Normal Paper
email
last changed 2022/06/07 07:52

_id acadia14_167
id acadia14_167
authors Marcus, Adam
year 2014
title Centennial Chromagraph: Data Spatialization and Computational Craft
source ACADIA 14: Design Agency [Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 9781926724478]Los Angeles 23-25 October, 2014), pp. 167-176
doi https://doi.org/10.52842/conf.acadia.2014.167
summary This paper describes the design, fabrication, and assembly process of Centennial Chromagraph, a large-scale installation recently constructed for the centennial anniversary of the University of Minnesota School of Architecture. The project is an exercise in data spatialization: using computational design tools to generate formal and spatial constructions with large quantities of information.
keywords Category: Generative Design / Big Data; Keywords: data spatialization, big data, computational design, digital fabrication, digital craft, information aesthetics
series ACADIA
type Normal Paper
email
last changed 2022/06/07 07:59

_id acadia14projects_46
id acadia14projects_46
authors Marus, Adam
year 2014
title Centennial Chromagraph
source ACADIA 14: Design Agency [Projects of the 34th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 9789126724478]Los Angeles 23-25 October, 2014), pp. 43-46
doi https://doi.org/10.52842/conf.acadia.2014.043.2
summary Centennial Chromagraph is a life-size representation of the history of the University of Minnesota School of Architecture. The project employs techniques gleaned from contemporary approaches to “Big Data” to visualize the School’s history while also producing abstract material effects of light and color.
keywords data spatialization, big data, computational design, digital fabrication, digital craft, information aesthetics
series ACADIA
type Research Projects
email
last changed 2022/06/07 07:59

_id acadia14projects_219
id acadia14projects_219
authors Mirmotahari, AmirReza; Theodosiou, Joanna; Al-Hadeethi, Shahad Thamer
year 2014
title CrystalCloud
source ACADIA 14: Design Agency [Projects of the 34th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 9789126724478]Los Angeles 23-25 October, 2014), pp. 219-222
doi https://doi.org/10.52842/conf.acadia.2014.219.2
summary The aim of this project is to create a system that hybridizes two natural systems, clouds and crystals, and simultaneously explores the aspect of light. These rich domains with the introduction of small glass beads lead to an intricate fabric of architecture and moreover to a high-resolution fabric of light.
keywords synthetic constructability, Multi Agent Systems in Design, Robotics and Autonomous Design Systems, Big Data, Simulation + Intuition, Design Decision Making, Generative Design, Multidisciplinary Design Optimization, Design Computing and Cognition
series ACADIA
type Student's Research Projects
email
last changed 2022/06/07 07:58

_id acadia14projects_139
id acadia14projects_139
authors Shiordia, Rodrigo; Gerber, David Jason
year 2014
title Context-Aware Multi-Agent Systems: Negotiating Intensive Fields
source ACADIA 14: Design Agency [Projects of the 34th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 9789126724478]Los Angeles 23-25 October, 2014), pp. 139-142
doi https://doi.org/10.52842/conf.acadia.2014.139
summary This poster presents an implementation of a context aware L-System for simulating a generative method for deploying irrigation networks in a brownfield in Mexico City. A custom system was designed with the constraints that a discrete data sensing logic imposes on a generative strategy based on a scheme responding to soil salinity.
keywords Multi-Agent Systems in Design, Generative Design, Big Data, Robotics and Autonomous Design Systems, Collective Intelligence in Design, L-System
series ACADIA
type Research Projects
email
last changed 2022/06/07 07:56

_id acadia14_699
id acadia14_699
authors Speranza, Philip
year 2014
title Attachment' As Agency in Off-Site And On-Site Indicators of Phenomena in Geospatial Urban Analysis Tools
source ACADIA 14: Design Agency [Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 9781926724478]Los Angeles 23-25 October, 2014), pp. 699-708
doi https://doi.org/10.52842/conf.acadia.2014.699
summary Using data to connect people and place in urban design, this paper describes an approach to create custom urban analysis tools to gather geospatially specific data off-site and on-site. Unlike traditional planning software such as ArcGIS this approach uses open urban design scale software, plugins and custom scripts to individually formulate and understand new relationships and new datasets of ephemeral phenomena gathered on-site and off-site.
keywords Big Data, Simulation + Intuition, Interactive Architecture, Open Source in Design, Parametric and Evolutionary Design, Design Computing and Cognition
series ACADIA
type Normal Paper
email
last changed 2022/06/07 07:56

_id caadria2014_105
id caadria2014_105
authors Takeda, Hiroyuki; Yoshinori Kurashige, Keishiro Hara and Atsuko Kaga
year 2014
title Methodology of City Analysis for Evaluating Compactness Using GIS
source Rethinking Comprehensive Design: Speculative Counterculture, Proceedings of the 19th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2014) / Kyoto 14-16 May 2014, pp. 243–252
doi https://doi.org/10.52842/conf.caadria.2014.243
summary A method to evaluate convenience for daily life focusing on proximity and accessibility is proposed. First, a set of indicators related to convenience for daily life was developed, and comprehensive evaluation on physical environments of a city was conducted by utilizing GIS, statistical, and other surveyed data. Then, a proposed evaluation procedure with a weighting method using the age categories of residents was applied to clarify the areas that could attain high convenience. Additionally, the change of convenience associated with the change in future demographic characteristics was examined based on the estimated population and demographic characteristics in 2040. Potential "cores" were identified that can efficiently enhance the force of centralization needed for realization of a compact city. It was also suggested that the evaluation method developed in this research can be used as a tool to address and realize sustainability in cities.
keywords City analysis; compact city; GIS; big data
series CAADRIA
email
last changed 2022/06/07 07:56

_id acadia16_424
id acadia16_424
authors Twose, Simon; du Chatenier, Rosa
year 2016
title Experimental Material Research - Digital Chocolate
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. 424-431
doi https://doi.org/10.52842/conf.acadia.2016.424
summary This research investigates the aesthetics of a shared agency between humans, computation and physical material. ‘Chocolate’ is manipulated in physical and virtual space simultaneously to extract aesthetic conditions that are a sum of human and non-human relations. This is an attempt to further the knowledge of designing, giving physical and digital materials force in determining their own aesthetics. The research springs from work in speculative aesthetics, particularly N. Katherine Hayles’s OOI (object-oriented inquiry) and Graham Harman’s OOO (object-oriented ontology) and explores how these ideas impact contemporary computational architectural design. To study this, a simple material has been chosen, chocolate, and used as a vehicle to investigate the dynamics of physical and digital materials and their shared/differing ‘resistances to human manipulation’ (Pickering 1995). Digital chocolate is ‘melted’ through virtual heat, and the results printed and cast in real chocolate, to be further manipulated in real space. The resistances and feedback of physical and digital chocolate to human ‘prodding’ (Hayles 2014) are analyzed in terms of a material’s qualities and tendencies in digital space versus those in physical space. Observations from this process are used to speculate on an aesthetics where humans, computation and physical material are mutually agential. This research is a pilot for a larger study taking on more complex conditions, such as building and cities, with a view to broadening how aesthetics is understood in architectural design. The contribution of this research to the field of architectural computation is thus in areas of aesthetic speculation and human/non-human architectural authorship.
keywords object-oriented inquiry, speculative aesthetics, mutual agency, big data
series ACADIA
type paper
email
last changed 2022/06/07 07:58

_id acadia14_75
id acadia14_75
authors Webb, Alexander
year 2014
title Productive Hybrids: Folding Social Media As Urban Analysis
source ACADIA 14: Design Agency [Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 9781926724478]Los Angeles 23-25 October, 2014), pp. 75-80
doi https://doi.org/10.52842/conf.acadia.2014.075
summary This paper investigates a technique of layering big datasets as a method of analysis and representation.
keywords Big Data, Urban Analysis, Grasshopper, Mapping, Meerkat, Folding
series ACADIA
type Normal Paper
email
last changed 2022/06/07 07:58

_id caadria2014_014
id caadria2014_014
authors Zhong, Chen; Stefan Müller Arisona and Gerhard Schmitt
year 2014
title A Visual Analytics Framework for Large Transportation Datasets
source Rethinking Comprehensive Design: Speculative Counterculture, Proceedings of the 19th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2014) / Kyoto 14-16 May 2014, pp. 223–232
doi https://doi.org/10.52842/conf.caadria.2014.223
summary The advancement of sensor technologies makes it possible to collect large amounts of dynamic urban data. On the other hand, how to store, process, and analyze collected urban data to make them useful becomes a new challenge. To address this issue, this paper proposes a visual analytics framework, which is applied to transportation data to manage and extract information for urban studies. More specifically, the proposed framework has three components: (1) a geographic information system (GIS) based pipeline providing basic data processing functions; (2) a spatial network analysis that is integrated into the pipeline for extracting spatial structure of urban movement; (3) interactive operations allowing the user to explore and view the output data sets at different levels of details. Taking Singapore as a case study area, we use a sample data set from the automatic smart card fare collection system as an input to our prototype tool. The result shows the feasibility of proposed framework and analysis method. To summarize, our work shows the potential of geospatial based visual analytics tools in using ‘big’ data for urban analysis.
keywords GIS; visual analytics; transportation data; flow map; spatial network analysis
series CAADRIA
email
last changed 2022/06/07 07:57

_id ecaade2014_021
id ecaade2014_021
authors Aant van der Zee, Bauke de Vries and Theo Salet
year 2014
title From rapid prototyping to automated manufacturing
source Thompson, Emine Mine (ed.), Fusion - Proceedings of the 32nd eCAADe Conference - Volume 1, Department of Architecture and Built Environment, Faculty of Engineering and Environment, Newcastle upon Tyne, England, UK, 10-12 September 2014, pp. 455-461
doi https://doi.org/10.52842/conf.ecaade.2014.1.455
wos WOS:000361384700045
summary In this paper we present an outline of a newly started project to develop a tool which connects BIM to a manufacturing technique like 3D printing. First we will look some promising manufacturing techniques. We will design a small dwelling and export it into a BIM, from which we will extract our data to generate the path the nozzle has to follow. The chosen path is constrained by the material properties, the design and speed of the nozzle. To validate the system we develop a small VR tool in which we mimic a manufacturing tool.
keywords Rapid prototyping; rapid manufacturing; robotics; automation; building information model (bim)
series eCAADe
email
last changed 2022/06/07 07:54

_id ascaad2014_004
id ascaad2014_004
authors Afsari, Kereshmeh; Matthew E. Swarts and T. Russell Gentry
year 2014
title Integrated Generative Technique for Interactive Design of Brickworks
source Digital Crafting [7th International Conference Proceedings of the Arab Society for Computer Aided Architectural Design (ASCAAD 2014 / ISBN 978-603-90142-5-6], Jeddah (Kingdom of Saudi Arabia), 31 March - 3 April 2014, pp. 49-64
summary Bricks have been used in the construction industry as a building medium for millennia. Distinct patterns of bricks depict the unique aesthetic intentions found in Roman, Gothic and Islamic architecture. In contemporary practice, the use of digital tools in design has enabled methodologies for creating new forms in architecture. CAD and BIM systems provide new opportunities for designers to create parametric objects for building form generation. In masonry design, there exists an inherent contradiction between traditional patterns in brick design, which are formal and prescribed, and the potential for new patterns generated using design scripting. In addition, current tools do not provide interactive techniques for the design of brickwork patterns that can manage constant changes parametrically, to inform and influence design process, by providing design feedback on the constructive and structural aspects of the proposed brick pattern and geometry. This research looks into the parametric techniques that can be applied to create different kinds of patterns on brick walls. It discusses a methodology for an interactive brickwork design within generative techniques. By integrating data between two computational platforms – the first based on image analysis and the second on parametric modeling, we demonstrate a methodology and application that can generate interactive arbitrary patterns and map it to the brick wall in real-time.
series ASCAAD
email
last changed 2016/02/15 13:09

_id ecaade2014_055
id ecaade2014_055
authors Ahmet Emre Dincer, Gülen Cagdas and Hakan Tong
year 2014
title A Digital Tool for Customized Mass Housing Design
source Thompson, Emine Mine (ed.), Fusion - Proceedings of the 32nd eCAADe Conference - Volume 1, Department of Architecture and Built Environment, Faculty of Engineering and Environment, Newcastle upon Tyne, England, UK, 10-12 September 2014, pp. 201-211
doi https://doi.org/10.52842/conf.ecaade.2014.1.201
wos WOS:000361384700020
summary Innovative design approaches are needed for mass housing implementations. Especially increasing interaction between user and designer is major important in the design decisions of these buildings. For this, it is seriously necessary to benefit from technological advances in computational designs, because digital tools like shape grammar, cellular automata, genetic algorithm, l-systems and agent-based models in this field provide not only to save time and to manage the relationships but also to generate many different alternatives. Accordingly, a digital support tool for designers has been developed by using cellular automata approach and scripts of 3Ds Max software. It produces samples of housing design plans which is generated by cellular automata approach according to the data of users' preferences. In this paper the interface and contributions of the developed model are introduced and discussed.
keywords Computational design; mass customization; innovative housing design; plugin
series eCAADe
email
last changed 2022/06/07 07:54

_id ascaad2014_016
id ascaad2014_016
authors Al-Ratrout, Samer A. and Rana Zureikat
year 2014
title Pedagogic Approach in the Age of Parametric Architecture: Experimental method for teaching architectural design studio to 3rd year level students
source Digital Crafting [7th International Conference Proceedings of the Arab Society for Computer Aided Architectural Design (ASCAAD 2014 / ISBN 978-603-90142-5-6], Jeddah (Kingdom of Saudi Arabia), 31 March - 3 April 2014, pp. 211-226
summary In this era, Architectural Design Practice is faced with a paradigm shift in its conventional approaches towards computational methods. In this regard, it is considered a pedagogic challenge to boost up knowledge and skills of architectural students’ towards an advanced approach of architectural design that emphasizes the potentials and complexity of computational environments and parametric tools for design problem solving. For introducing the concept of Parametric Oriented Design Methods to 3rd year level architectural students, an experimental pedagogic course was designed in the scholastic year of 2012-2013 at German Jordanian University GJU (School of Architecture and Built Environment SABE) to approach this concept. In the preparation phase, the experimental course was designed to incorporate structured instructing and training method to be consecutively performed within experimental lab environment to target predetermined learning outcomes and goals. The involved students were intentionally classified into three levels of previous involvement associated with the related software operating skills and computational design exposure. In the implementation phase, the predetermined instructing and training procedures were performed in the controlled environment according to the planned tasks and time intervals. Preceded tactics were prepared to be executed to resolve various anticipated complication. In this phase also, students’ performance and comprehension capacity were observed and recorded. In data analysis phase, the observed results were verified and correlations were recognized. In the final phase, conclusions were established and recommendations for further related pedagogic experiments were introduced.
series ASCAAD
email
last changed 2016/02/15 13:09

_id ecaade2024_167
id ecaade2024_167
authors Alammar, Ammar; Alymani, Abdulrahman; Jabi, Wassim
year 2024
title Building Energy Efficiency Estimations with Random Forest for Single and Multi-Zones
source Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 365–374
doi https://doi.org/10.52842/conf.ecaade.2024.2.365
summary Surrogate models (SM) present an opportunity for rapid assessment of a building's performance, surpassing the pace of simulation-based methods. Setting up a simulation for a single concept involves defining numerous parameters, disrupting the architect's creative flow due to extended simulation run times. Therefore, this research explores integrating building energy analysis with advanced machine learning techniques to predict heating and cooling loads (KWh/m2) for single and multi-zones in buildings. To generate the dataset, the study adopts a parametric generative workflow, building upon Chou and Bui's (2014) methodology. This dataset encompasses multiple building forms, each with unique topological connections and attributes, ensuring a thorough analysis across varied building scenarios. These scenarios undergo thermal simulation to generate data for machine learning analysis. The study primarily utilizes Random Forest (RF) as a new technique to estimate the heating and cooling loads in buildings, a critical factor in building energy efficiency. Following that, A random search approach is utilized to optimize the hyperparameters, enhancing the robustness and accuracy of the machine learning models employed later in the research. The RF algorithms demonstrate high performance in predicting heating and cooling loads (KWh/m2), contributing to enhanced building energy efficiency. The study underscores the potential of machine learning in optimizing building designs for energy efficiency.
keywords Heating and Cooling loads, Topology, Machine learning, Random Forest
series eCAADe
email
last changed 2024/11/17 22:05

_id ecaade2014_201
id ecaade2014_201
authors Anetta Kepczynska-Walczak
year 2014
title Data Integration In A Visual Mode
source Thompson, Emine Mine (ed.), Fusion - Proceedings of the 32nd eCAADe Conference - Volume 1, Department of Architecture and Built Environment, Faculty of Engineering and Environment, Newcastle upon Tyne, England, UK, 10-12 September 2014, pp. 565-572
doi https://doi.org/10.52842/conf.ecaade.2014.1.565
wos WOS:000361384700056
summary The principal aim of the paper is to discuss data integration issues in the context of urban scale studies. A special attention is dedicated to built environment, visual thinking and synthesis of knowledge. The paper is based on literature studies, professional experience and the outcomes of an experimental students' project conducted by the author last year. First, the theoretical background and the current state of research in the area is revealed. Then, the project theme, goals and organisation are described. So, the main idea of the experiment was to explore data collection methods at the urban scale without a design goal since the prime approach was to take into consideration students' perceptions of space and its multifaceted aspects. Thus, to maintain an open mind about gathering such information and not to bias participants towards one approach or another were crucial. Finally, the outcomes of the project are discussed. Students' presentations showed that they used different approaches not only in terms of digital tools but also in terms of their understanding of data integration. The author believes a discussion of the experiment outcomes will contribute to the main theme of the eCAADe 2014 Conference entirely.
keywords Built environment; visual thinking; data integration
series eCAADe
email
last changed 2022/06/07 07:54

_id caadria2014_028
id caadria2014_028
authors Chaszar, André and Bige Tunçer
year 2014
title Integrating User and Usage Information in a Design Environment
source Rethinking Comprehensive Design: Speculative Counterculture, Proceedings of the 19th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2014) / Kyoto 14-16 May 2014, pp. 45–54
doi https://doi.org/10.52842/conf.caadria.2014.045
summary We describe research exploring and demonstrating the use of large-scale data gathering and processing to inform the activities of architectural and urban designers. We apply this research to public spaces in urban housing estates. The aim is to understand the current use patterns and usability of these spaces, and to adaptively redesign them according to the insights gained from these findings. Another aim of the research is to obtain scientific knowledge regarding the production and use of user-data-based design support systems which promote and enhance the capability of (digital) design aids, such as building- and urban-scale models, to act as ‘learning devices’ giving designers better insights to the nature of the design situations they are asked to address, as well as insights on design space definition and exploration. We adopt a multimodal data collection strategy, consisting of participatory workshops for residents and users, person-based crowdsourcing, location-based crowd sensing, and statistical demographics data.
keywords integrated design environment; multi-modal data collection; data visualization; data analysis; public space design.
series CAADRIA
email
last changed 2022/06/07 07:55

_id acadia14_365
id acadia14_365
authors Cheng, Nancy Yen-wen; Lockyear, Brian
year 2014
title Communicating Climate-Smart Scenarios with Data-Driven Illustrations
source ACADIA 14: Design Agency [Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 9781926724478]Los Angeles 23-25 October, 2014), pp. 365-374
doi https://doi.org/10.52842/conf.acadia.2014.365
summary This paper describes how to generate accessible streetscape illustrations from planning scenario maps using a parametric urban modeler in a graphics workflow. The project connects economic forecasting, GIS mapping, and 3D architectural graphics.
keywords Planning Visualization, Parametric Urban Modeling, , Practice-based and Interdisciplinary Computational Design Research
series ACADIA
type Normal Paper
email
last changed 2022/06/07 07:55

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