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

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_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
doi	https://doi.org/10.52842/conf.ecaade.2021.2.351
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
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	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	acadia23_v1_242
id	acadia23_v1_242
authors	Noel, Vernelle A.
year	2023
title	Carnival + AI: Heritage, Immersive virtual spaces, and Machine Learning
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 1: Projects Catalog of the 43rd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 242-245.
summary	Built on a Situated Computations framework, this project explores preservation, reconfiguration, and presentation of heritage through immersive virtual experiences, and machine learning for new understandings and possibilities (Noel 2020; 2017; Leach and Campo 2022; Leach 2021). Using the Trinidad and Tobago Carnival - hereinafter referred to as Carnival - as a case study, Carnival + AI is a series of immersive experiences in design, culture, and artificial intelligence (AI). These virtual spaces create new digital modes of engaging with cultural heritage and reimagined designs of traditional sculptures in the Carnival (Noel 2021). The project includes three virtual events that draw on real events in the Carnival: (1) the Virtual Gallery, which builds on dancing sculptures in the Carnival and showcases AI-generated designs; (2) Virtual J’ouvert built on J’ouvert in Carnival with AI-generated J’ouvert characters specific; and (3) Virtual Mas which builds on the masquerade.
series	ACADIA
type	project
email
last changed	2024/04/17 13:58

_id	acadia17_552
id	acadia17_552
authors	Sjoberg, Christian; Beorkrem, Christopher; Ellinger, Jefferson
year	2017
title	Emergent Syntax: Machine Learning for the Curation of Design Solution Space
doi	https://doi.org/10.52842/conf.acadia.2017.552
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 552- 561
summary	The expanding role of computational models in the process of design is producing exponential growth in parameter spaces. As designers, we must create and implement new methods for searching these parameter spaces, considering not only quantitative optimization metrics but also qualitative features. This paper proposes a methodology that leverages the pattern modeling properties of artificial neural networks to capture designers' inexplicit selection criteria and create user-selection-based fitness functions for a genetic solver. Through emulation of learned selection patterns, fitness functions based on trained networks provide a method for qualitative evaluation of designs in the context of a given population. The application of genetic solvers for the generation of new populations based on the trained network selections creates emergent high-density clusters in the parameter space, allowing for the identification of solutions that satisfy the designer’s inexplicit criteria. The results of an initial user study show that even with small numbers of training objects, a search tool with this configuration can begin to emulate the design criteria of the user who trained it.
keywords	design methods; information processing; AI; machine learning; generative system
series	ACADIA
email
last changed	2022/06/07 07:56

_id	acadia17_284
id	acadia17_284
authors	Hu, Zhengrong; Park, Ju Hong
year	2017
title	HalO [Indoor Positioning Mobile Platform]: A Data-Driven, Indoor-Positioning System With Bluetooth Low Energy Technology To Datafy Indoor Circulation And Classify Social Gathering Patterns For Assisting Post Occupancy Evaluation
doi	https://doi.org/10.52842/conf.acadia.2017.284
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 284-291
summary	Post-Occupancy Evaluation (POE) as an integrated field between architecture and sociology has created practical guidelines for evaluating indoor human behavior within a built environment. This research builds on recent attempts to integrate datafication and machine learning into POE practices that may one day assist Building Information Modeling (BIM) and multi-agent modeling. This research is based on two premises: 1) that the proliferation of Bluetooth Low Energy (BLE) technology allows us to collect a building user’s data cost-effectively and 2) that the growing application of machine learning algorithms allows us to process, analyze and synthesize data efficiently. This study illustrates that the mobile platform HalO can serve as a generic tool for datafication and automation of data analysis of the movement of a building user. In this research, the iOS mobile application HalO, combined with BLE beacons enable building providers (architects, developers, engineers and facility managers etc.) to collect the user’s indoor location data. Triangulation was used to pinpoint the user’s indoor positions, and k-means clustering was applied to classify users into different gathering groups. Through four research procedures—Design Intention Analysis, Data Collection, Data Storage and Data Analysis—the visualized and classified data helps building providers to better evaluate building performance, optimize building operations and improve the accuracy of simulations.
keywords	design methods; information processing; data mining; IoT; AI; machine learning
series	ACADIA
email
last changed	2022/06/07 07:49

_id	acadia17_426
id	acadia17_426
authors	Moorman, Andrew
year	2017
title	Pattern Making and Learning: Non-Routine Practices in Generative Design
doi	https://doi.org/10.52842/conf.acadia.2017.426
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 426- 435
summary	We now witness an upsurge in mainstream generative design tools fortified by simulation that speed up the concealed linear synthesis of optimized design alternatives. In pursuit of optimality, these tools saturate local machines or cloud servers with analysis and design iteration data, only to discard it once the procedure has concluded. Largely absent, however, are tools for an active, adaptive relationship with design exploration and the reuse of corresponding design data and metadata. In Pattern Making and Pattern Learning, we propose that these characteristics are mutually beneficial. This paper presents a series of revisions to the optimization framework for routine design synthesis that examine a potential symbiosis between the production of large datasets (big data) and non-routine practices of making in design. Our engagement with iterative design exercises is twofold: as a supply of computer-generated design information to foster user intuition and explore the design space on non-objective terms, and as a supply of human-generated design information to learn artifacts of user preference in the interest of design software personalization. These concepts are applied to the generation of functionally graded patterning in chair design, combining methods of physical production with programmable sheet material behavior through a custom interactive synthesis framework.
keywords	design methods; information processing; ai & machine learning; simulation & optimization; generative system
series	ACADIA
email
last changed	2022/06/07 07:58

_id	acadia17_474
id	acadia17_474
authors	Peng, Wenzhe; Zhang, Fan; Nagakura, Takehiko
year	2017
title	Machines’ Perception of Space: Employing 3D Isovist Methods and a Convolutional Neural Network in Architectural Space Classification
doi	https://doi.org/10.52842/conf.acadia.2017.474
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 474- 481
summary	Simple and common architectural elements can be combined to create complex spaces. Different spatial compositions of elements define different spatial boundaries, and each produces a unique local spatial experience to observers inside the space. Therefore an architectural style brings about a distinct spatial experience. While multiple representation methods are practiced in the field of architecture, there lacks a compelling way to capture and identify spatial experiences. Describing an observer’s spatial experiences quantitatively and efficiently is a challenge. In this paper, we propose a method that employs 3D isovist methods and a convolutional neural network (CNN) to achieve recognition of local spatial compositions. The case studies conducted validate that this methodology works well in capturing and identifying local spatial conditions, illustrates the pattern and frequency of their appearance in designs, and indicates peculiar spatial experiences embedded in an architectural style. The case study used small designs by Mies van der Rohe and Aldo van Eyck. The contribution of this paper is threefold. First, it introduces a sampling method based on 3D Isovist that generates a 2D image that can be used to represent a 3D space from a specific observation point. Second, it employs a CNN model to extract features from the sampled images, then classifies their corresponding space. Third, it demonstrates a few case studies where this space classification method is applied to different architectural styles.
keywords	design methods; information processing; AI; machine learning; computer vision; representation
series	ACADIA
email
last changed	2022/06/07 08:00

_id	acadia17_482
id	acadia17_482
authors	Penman, Scott
year	2017
title	Toward Computational Play
doi	https://doi.org/10.52842/conf.acadia.2017.482
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 482- 491
summary	The day is not far off when autonomous, artificially intelligent agents will be employed in creative industries such as architecture and design. Artificial intelligence is rapidly becoming ubiquitous, and it has absorbed many capabilities once thought beyond its reach. As such, it is critical that we reflect on the relationship between AI and design. Design is often tasked with pushing the envelope in the quest for novel meaning and experience. Designers can’t always rely upon existing models to judge their work. Operating like this requires a curious and open mind, a willingness to eschew reward and occasionally break the rules, and a desire to explore for the sake of exploring. These behaviors fly in the face of traditional implementations of computation and raise difficult questions about the autonomy and subjectivity of artificially intelligent machines. This paper proposes computational play as a field of research that covers how and why designers roam as freely as they do, what the creative potential of such exploration might be, and how such techniques might responsibly be implemented in computational machines. The work argues that autotelism, defined as internal motivation, is an essential aspect of play and outlines how it can be incorporated in a computational framework. The work also demonstrates a proof-of-concept in the form of an autonomous drawing machine that is able to plot a drawing, view the drawing, and make decisions based on what it sees, bringing computational vision and computational drawing together into a cyclical process that permits the use of autotelic play behavior.
keywords	design methods; information processing; art and technology; computational / artistic cultures
series	ACADIA
email
last changed	2022/06/07 08:00

_id	acadia17_18
id	acadia17_18
authors	Abdel-Rahman, Amira; Michalatos, Panagiotis
year	2017
title	Magnetic Morphing
doi	https://doi.org/10.52842/conf.acadia.2017.018
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 18-27
summary	In an attempt to design shape-morphing multifunctional objects, this thesis uses programmable matter to design self-organizing multi-agent systems capable of morphing from one shape into another. The research looks at various precedents of self-assembly and modular robotics to design and prototype passive agents that could be cheaply mass-produced. Intelligence will be embedded into these agents on a material level, designing different local interactions to perform different global goals. The initial exploratory study looks at various examples from nature like plankton and molecules. Magnetic actuation is chosen as the external actuation force between agents. The research uses simultaneous digital and physical investigations to understand and design the interactions between agents. The project offers a systemic investigation of the effect of shape, interparticle forces, and surface friction on the packing and reconfiguration of granular systems. The ability to change the system state from a gaseous, liquid, then solid state offers new possibilities in the field of material computation, where one can design a "material" and change its properties on demand.
keywords	material and construction; construction/robotics; smart materials; smart assembly/construction; simulation & optimization
series	ACADIA
email
last changed	2022/06/07 07:52

_id	caadria2017_131
id	caadria2017_131
authors	Abe, U-ichi, Hotta, Kensuke, Hotta, Akito, Takami, Yosuke, Ikeda, Hikaru and Ikeda, Yasushi
year	2017
title	Digital Construction - Demonstration of Interactive Assembly Using Smart Discrete Papers with RFID and AR codes
doi	https://doi.org/10.52842/conf.caadria.2017.075
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 75-84
summary	This paper proposes and examines a new way of cooperation between human workers and machine intelligence in architectural scale construction. For the transfer of construction information between the physical and digital world, mature technologies such as Radio Frequency IDentifier (RFID), and emerging technologies like Augmented Reality (AR) are used in parallel to supplement each other. Dynamic data flow is implemented to synchronize digital and physical models by following the ID signatures of individual building parts. The contributions of this paper includes the demonstration of current technological limitations, and the proposal of a hybrid system between human and computer, which is tested in order to explore the possibilities of digitally enhanced construction methods.
keywords	Digital Construction; Augmented Reality; Human-Machine interaction
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ijac201715301
id	ijac201715301
authors	Afsari, Kereshmeh; Charles Eastman and Dennis Shelden
year	2017
title	Building Information Modeling data interoperability for Cloud-based collaboration: Limitations and opportunities
source	International Journal of Architectural Computing vol. 15 - no. 3, 187-202
summary	Collaboration within Building Information Modeling process is mainly based on the manual transfer of document files in either vendor-specific formats or neutral format using Industry Foundation Classes. However, since the web enables Cloud-based Building Information Modeling services, it provides an opportunity to exchange data with web technologies. Alternative data sharing solutions include the federation of Building Information Modeling models and an interchange hub for data exchange in real time. These solutions face several challenges, are vendor locked, and integrate Building Information Modeling applications to a third new system. The main objective of this article is to investigate current limitations as well as opportunities of Cloud interoperability to outline a framework for a loosely coupled network-based Building Information Modeling data interoperability. This study explains that Cloud-Building Information Modeling data exchange needs to deploy major components of Cloud interoperability such as Cloud application programming interfaces, data transfer protocols, data formats, and standardization to redefine Building Information Modeling data flow in Cloud-based applications and to reshape collaboration process.
keywords	Building Information Modeling, Cloud, data exchange, interoperability, Industry Foundation Classes
series	journal
email
last changed	2019/08/07 14:03

_id	ecaade2017_199
id	ecaade2017_199
authors	Al-Douri, Ph.D., Firas
year	2017
title	Computational and Modeling Tools - How effectively are Urban Designers and Planners using them Across the Design Development Process?
doi	https://doi.org/10.52842/conf.ecaade.2017.1.409
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. 409-418
summary	Literature suggests that despite the increasing range and variety of computational tools and technologies, they have not really been employed for designing as extensively as it might be. This is due in part to the numerous challenges and impediments limiting their effective usage such as the methodological, procedural, and substantive factors and limitations, and skepticism about their impact of usage on the design process and outcome. The gap in our understanding of how advanced computational tools could support the design activities and design decision-making has expanded considerably to become a new area of inquiry with considerable room for the expansion of knowledge. This research is a single-case study that has been pursued in two phases: literature review and survey followed by analysis and discussion of the empirical results. The empirical observations were compared to the theoretical propositions and with results of similar research to highlight the areas and the extent to what the IT tools' usage have influenced the outcome of the design process. The comparison has helped highlight, explain, and justify the mechanism and improvements in the design outcome. Please write your abstract here by clicking this paragraph.
keywords	Computational urban design; Urban Design Practice
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2017_240
id	ecaade2017_240
authors	Al-Sudani, Amer, Hussein, Hussein and Sharples, Steve
year	2017
title	Sky View Factor Calculation - A computational-geometrical approach
doi	https://doi.org/10.52842/conf.ecaade.2017.2.673
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. 673-682
summary	Sky view factor (SVF) is a well-known parameter in urban-climatic studies, but there is a lack of consensus on its effectiveness, especially with regard to the interpretation of changes in urban air temperatures. This led the authors to develop the new concept of the partial sky view factor (SVFp), which showed promise in a previous study. The objective of this study is to save the time associated with manual methods of calculating SVF and SVFp by developing a Rhino-Grasshopper component to quantify them via the hemispheric projection of a 3D model. In addition, a different approach, in terms of a hemispheric projection to calculate SVF, will be introduced by another component, and the pros and cons of each approach are considered. We will name these methods 'Ray Method' and 'Geometrical Method' respectively. The Ray Method has achieved a good balance between accuracy, processing time and urban scale and complexity compared to the Geometrical Method.
keywords	Sky view factor; parametric design; Rhino - Grasshopper; urban morphology; partial Sky view factor
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ijac201715402
id	ijac201715402
authors	Alaçam, Sema; Orkan Zeynel Güzelci, Ethem Gürer and Saadet Zeynep Bac?noglu
year	2017
title	Reconnoitring computational potentials of the vault-like forms: Thinking aloud on muqarnas tectonics
source	International Journal of Architectural Computing vol. 15 - no. 4, 285-303
summary	This study sheds light on a holistic understanding of muqarnas with its historical, philosophical and conceptual backgrounds on one hand and formal, structural and algorithmic principles on the other hand. The vault-like Islamic architectural element, muqarnas, is generally considered to be a non-structural decorative element. Various compositional approaches have been proposed to reveal the inner logic of these complex geometric elements. Each of these approaches uses different techniques such as measuring, unit-based decoding or three-dimensional interpretation of two-dimensional patterns. However, the reflections of the inner logic onto different contexts, such as the usage of different initial geometries, materials or performative concerns, were neglected. In this study, we offer a new schema to approach the performative aspects of muqarnas tectonics. This schema contains new sets of elements, properties and relations deriving partly from previous approaches and partly from the technique of folding. Thus, this study first reviews the previous approaches to analyse the geometric and constructional principles of muqarnas. Second, it explains the proposed scheme through a series of algorithmic form-finding experiments. In these experiments, we question whether ‘fold’, as one of the performative techniques of making three-dimensional forms, contributes to the analysis of muqarnas in both a conceptual and computational sense. We argue that encoding vault-like systems via geometric and algorithmic relations based on the logic of the ‘fold’ provides informative and intuitive feedback for form-finding, specifically in the earlier phases of design. While focusing on the performative potential of a specific fold operation, we introduced the concept of bifurcation to describe the generative characteristics of folding technique and the way of subdividing the form with respect to redistribution of the forces. Thus, in this decoding process, the bifurcated fold explains not only to demystify the formal logic of muqarnas but also to generate new forms without losing contextual conditions.
keywords	Muqarnas, vault, layering, folding, force flow, bifurcation
series	journal
email
last changed	2019/08/07 14:03

_id	sigradi2017_015
id	sigradi2017_015
authors	Almeida, Adriane Borda; Juçara Nunes da Silva
year	2017
title	Referenciais Didáticos de Arquitetura a partir de Gaudí e Gehry: Entre Forças e Fraquezas, Ameaças e Oportunidades [Didactic References of Architecture from Gaudí and Gehry: Between Strengths and Weaknesses, Threats and Opportunities]
source	SIGraDi 2017 [Proceedings of the 21th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-227-439-5] Chile, Concepción 22 - 24 November 2017, pp.114-122
summary	The challenges on the ways of producing and teaching architecture, in the face of new digital technologies, led us to develop guidelines for updating didactic strategies in the area of teaching geometry and graphic representation in architecture courses. In order to do so, it is proposed to use the SWOT matrix as a way to cross-check what is being discussed. To identify the factors of the matrix, in the research environment we identify Opportunities and Threats and, using as examples the works of the Sagrada Familia Temple and the Guggenheim Museum, we identify Strenghts and Weaknesses.
keywords	Geometry; Design; Technologies of Representation; Didactic Speech.
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	acadia17_102
id	acadia17_102
authors	Aparicio, German
year	2017
title	Data-Insight-Driven Project Delivery: Approach to Accelerated Project Delivery Using Data Analytics, Data Mining and Data Visualization
doi	https://doi.org/10.52842/conf.acadia.2017.102
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 102-109
summary	Today, 98% of megaprojects face cost overruns or delays. The average cost increase is 80% and the average slippage is 20 months behind schedule (McKinsey 2015). It is becoming increasingly challenging to efficiently support the scale, complexity and ambition of these projects. Simultaneously, project data is being captured at growing rates. We continue to capture more data on a project than ever before. Total data captured back in 2009 in the construction industry reached over 51 petabytes, or 51 million gigabytes (Mckinsey 2016). It is becoming increasingly necessary to develop new ways to leverage our project data to better manage the complexity on our projects and allow the many stakeholders to make better more informed decisions. This paper focuses on utilizing advances in data mining, data analytics and data visualization as means to extract project information from massive datasets in a timely fashion to assist in making key informed decisions for project delivery. As part of this paper, we present an innovative new use of these technologies as applied to a large-scale infrastructural megaproject, to deliver a set of over 4,000 construction documents in a six-month period that has the potential to dramatically transform our industry and the way we deliver projects in the future. This paper describes a framework used to measure production performance as part of any project’s set of project controls for accelerated project delivery.
keywords	design methods; information processing; data mining; big data; data visualization
series	ACADIA
email
last changed	2022/06/07 07:55

_id	ecaade2017_038
id	ecaade2017_038
authors	Asanowicz, Aleksander
year	2017
title	Parametric design - Tool, medium or new paradigm?
doi	https://doi.org/10.52842/conf.ecaade.2017.2.379
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. 379-386
summary	Parametric design is an emerging research issue in the design domain. However, discussions about the creative process in parametric design are limited. What is more, despite the passing of 57 years of parametric design's existence we still do not know what parametric design is. Is it a simple tool, which is useful in some kind of optimization of the architectural form, or it is a medium, which helps architects develop unexpected solutions, and perhaps this is already a new design paradigm? The presented paper will contain general considerations relating to the nature of parametric design, the history of which starts in 1960, when D.T. Ross has formulated the thesis that our main objective is to formulate constrains and all needed parameters of the solved problem.Please write your abstract here by clicking this paragraph.
keywords	optimisation; parametric design; design tool; design media
series	eCAADe
email
last changed	2022/06/07 07:54

_id	acadia17_128
id	acadia17_128
authors	Bacharidou, Maroula
year	2017
title	Touch, See, Make: Employing Active Touch in Computational Making
doi	https://doi.org/10.52842/conf.acadia.2017.128
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 128-137
summary	In architectural education and practice, we don’t come in physical contact with what we make until the later stages of the design process. This vision-oriented approach to design is something deeply rooted in architectural practice: from Alberti’s window to the screens of our computers, design has traditionally been more of a visual and less of a hands-on process. The vision of the presented study is that if we want to understand the way we make in order to improve tools for computational design and making, we need to understand how our ability to make things is enhanced by both our visual and tactile mechanisms. Bringing the notion of active touch from psychology into the design studio, I design and execute a series of experiments investigating how seeing, touching, or seeing and touching exhibit different sensory competencies, and how these competencies are expressed through the process of making. The subjects of the experiment are asked to tactilely, visually, or tactilely and visually observe a three-dimensional object, create descriptions of its composition, and to remake it based on their experience of it using plastic materials. After the execution of the experiment, I analyze twenty-one reproductions of the original object; I point to ways in which touch can detect scale and proportions more accurately than vision, while vision can detect spatial components more efficiently than touch; I then propose ways in which this series of experiments can lead to the creation of new design and making tools.
keywords	education society & culture; computational / artistic culture;s hybrid practices; digital craft; manual craft
series	ACADIA
email
last changed	2022/06/07 07:54

_id	cf2017_337
id	cf2017_337
authors	Barber, Gabriela; Lafluf, Marcos; Amen, Fernando Garcia; Accuosto, Pablo
year	2017
title	Interactive Projection Mapping in Heritage: The Anglo Case
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. 337-348.
summary	This work is the outcome of a multidisciplinary collaboration in the context of the VidiaLab (Laboratorio de Visualización Digital Avanzada). It proposes an application of interactive video mapping techniques as a form of experiencing the Fray Bentos industrial landscape, declared as a World Heritage Site by UNESCO in 2015. An immersive environment was created by enriching a physical scale model of the site with projected digital images and information, providing new and attractive ways of interaction with the cultural heritage. Proposals for future work and educational applications of the developed tools are also discussed.
keywords	Video Mapping, New Media Art, Heritage, Museum, Human-Computer Interaction
series	CAAD Futures
email
last changed	2017/12/01 14:38

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