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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 sigradi2009_964
id sigradi2009_964
authors Castriota, Leonardo Barci; Rezende
year 2009
title Fotografia digital e imagens multi-perspectivas no estudo de sítios históricos [Digital photography and multi-perspective image in the study of historical sities]
source SIGraDi 2009 - Proceedings of the 13th Congress of the Iberoamerican Society of Digital Graphics, Sao Paulo, Brazil, November 16-18, 2009
summary The creation of panoramic images for depicting urban landscape is a technique that has its origins in Antiquity. These images, which are known to represent large urban areas from multiple views, can be considered true works of art. Recently there has been a growing interest by some researchers, especially in the area of computer graphics, in the production of multi-perspective images for representing historic sites. However, the focus of these studies has been especially the computational aspects of this process, and there are few studies that address the impact and possibilities of these methodologies in historic preservation and urban planning. Realizing this shortcoming and considering the demand for a perspective more connected to cultural heritage, our proposal is to associate the excellent visual results of the multi-perspective images to the rich possibilities of computer simulation that can provide digital photography. The fact is that in recent years we have experienced technological innovations in the field of computer simulation that far exceeded our expectations. While most surveys of buildings are still based on the use of tape measure, pencil, paper and camera, the computer has become increasingly the main interface between the user and the information and is now the preferred instrument for the production and viewing of images, including the creation of virtual environments. Thus, this work seeks to explore the great potential which seems to exist in the combination of digital photography and the technique of multi-perspective image representation, which may provide new approaches and perspectives for the field of historic preservation. For that, we present a rapid and low cost methodology, developed in recent years, which generates orthophotos and metric multi-perspective images, useful for the analysis of built heritage and historic sites. In addition to that, we will also discuss further possible byproducts of this methodology, among which we could highlight the creation of three-dimensional models, and the analysis of building pathologies in combination with thermal photography. As a case study, we will present a representation of the Rua dos Caetés, a listed historic district in Belo Horizonte (MG), Brazil.
keywords Photogametry; Digital Photography; Heritage; Conservation
series SIGRADI
email
last changed 2016/03/10 09:48
_id ecaade2009_010
id ecaade2009_010
authors Ostwald, Michael; Vaughan, Josephine
year 2009
title A Data-Cluster Analysis of Façade Complexity in the Early House Designs of Peter Eisenman
source Computation: The New Realm of Architectural Design [27th eCAADe Conference Proceedings / ISBN 978-0-9541183-8-9] Istanbul (Turkey) 16-19 September 2009, pp. 729-736
doi https://doi.org/10.52842/conf.ecaade.2009.729
wos WOS:000334282200088
summary Relatively few quantifiable and objective methods exist for the analysis of architectural elevations. Only one of these methods has been repeated by multiple researchers and used for the analysis of a wide range of historic and modern buildings and architectural types. In the present paper, the computational variation of this method–the fractal approach to determining characteristic visual complexity–is applied to the early house designs of Peter Eisenman. The results of this analysis are then subjected, for the first time, to cluster analysis in an attempt to uncover patterns in the way in which Eisenman’s houses are shaped by orientation, address and permeability. Such an analysis is of interest because Eisenman argues that he set out to design these early houses without regard for such factors. The paper concludes that the mathematical data generally supports Eisenman’s contentions regarding his Houses I, II, III, IV and VI.
keywords Visual complexity, fractal analysis, data-clustering, Peter Eisenman
series eCAADe
email
last changed 2022/06/07 08:00
_id 621b
id 621b
authors Peng, W and Gero, JS
year 2009
title A Design Interaction Tool That Adapts
source VDM Verlag
summary Despite different computerised approaches have been hardwired to solve various complex practical problems; few are founded on an adaptive paradigm such that a computational model interacts with its environment, loosely wires itself and learns from experience like humans do. This book presents our attempt to craft a computational model that learns from interactions and adapts based on its experience. We draw ideas from cognitive psychology in relation to human experiential learning, particularly the notions of ?situatedness?, ?constructive memory? and ?concept formation?. When applied to design activities, which are intrinsically dynamic and interactive, this model constructs concepts from interactions between the agent, the design problem and the use of the design tool. Such a design interaction tool generates knowledge based on the agent?s grounded generalisation from contextual information in a situated manner. Adaptive behaviours emerge from coupled interactions of the system from a macroscopic and a microscopic level. This book is suitable for researchers and students interested in pursuing computerised approaches based on cognitive science and natural computing.
keywords interaction, situated agents, adaptation
series book
type normal paper
email
more http://www.amazon.com/Design-Interaction-Tool-That-Adapts/dp/363913589X/ref=sr_1_3?ie=UTF8&s=books&qid=1241365175&sr=1-3
last changed 2009/09/11 18:25
_id cf2011_p018
id cf2011_p018
authors Sokmenoglu, Ahu; Cagdas Gulen, Sariyildiz Sevil
year 2011
title A Multi-dimensional Exploration of Urban Attributes by Data Mining
source Computer Aided Architectural Design Futures 2011 [Proceedings of the 14th International Conference on Computer Aided Architectural Design Futures / ISBN 9782874561429] Liege (Belgium) 4-8 July 2011, pp. 333-350.
summary The paper which is proposed here will introduce an ongoing research project aiming to research data mining as a methodology of knowledge discovery in urban feature analysis. To address the increasing multi-dimensional and relational complexity of urban environments requires a multidisciplinary approach to urban analysis. This research is an attempt to establish a link between knowledge discovery methodologies and automated urban feature analysis. Therefore, in the scope of this research we apply data mining methodologies for urban analysis. Data mining is defined as to extract important patterns and trends from raw data (Witten and Frank, 2005). When applied to discover relationships between urban attributes, data mining can constitute a methodology for the analysis of multi-dimensional relational complexity of urban environments (Gil, Montenegro, Beirao and Duarte, 2009) The theoretical motivation of the research is derived by the lack of explanatory urban knowledge which is an issue since 1970’s in the area of urban research. This situation is mostly associated with deductive methods of analysis. The analysis of urban system from the perspective of few interrelated factors, without considering the multi-dimensionality of the system in a deductive fashion was not been explanatory enough. (Jacobs, 1961, Lefebvre, 1970 Harvey, 1973) To address the multi-dimensional and relational complexity of urban environments requires the consideration of diverse spatial, social, economic, cultural, morphological, environmental, political etc. features of urban entities. The main claim is that, in urban analysis, there is a need to advance from traditional one dimensional (Marshall, 2004) description and classification of urban forms (e.g. Land-use maps, Density maps) to the consideration of the simultaneous multi-dimensionality of urban systems. For this purpose, this research proposes a methodology consisting of the application of data mining as a knowledge discovery method into a GIS based conceptual urban database built out of official real data of Beyoglu. Generally, the proposed methodology is a framework for representing and analyzing urban entities represented as objects with properties (attributes). It concerns the formulation of an urban entity’s database based on both available and non-available (constructed from available data) data, and then data mining of spatial and non-spatial attributes of the urban entities. Location or position is the primary reference basis for the data that is describing urban entities. Urban entities are; building floors, buildings, building blocks, streets, geographically defined districts and neighborhoods etc. Urban attributes are district properties of locations (such as land-use, land value, slope, view and so forth) that change from one location to another. Every basic urban entity is unique in terms of its attributes. All the available qualitative and quantitative attributes that is relavant (in the mind of the analyst) and appropriate for encoding, can be coded inside the computer representation of the basic urban entity. Our methodology is applied by using the real and official, the most complex, complete and up-to-dataset of Beyoglu (a historical neighborhood of Istanbul) that is provided by the Istanbul Metropolitan Municipality (IBB). Basically, in our research, data mining in the context of urban data is introduced as a computer based, data-driven, context-specific approach for supporting analysis of urban systems without relying on any existing theories. Data mining in the context of urban data; • Can help in the design process by providing site-specific insight through deeper understanding of urban data. • Can produce results that can assist architects and urban planners at design, policy and strategy levels. • Can constitute a robust scientific base for rule definition in urban simulation applications such as urban growth prediction systems, land-use simulation models etc. In the paper, firstly we will present the framework of our research with an emphasis on its theoretical background. Afterwards we will introduce our methodology in detail and finally we will present some of important results of data mining analysis processed in Rapid Miner open-source software. Specifically, our research define a general framework for knowledge discovery in urban feature analysis and enable the usage of GIS and data mining as complementary applications in urban feature analysis. Acknowledgments I would like to thank to Nuffic, the Netherlands Organization for International Cooperation in Higher Education, for funding of this research. I would like to thank Ceyhun Burak Akgul for his support in Data Mining and to H. Serdar Kaya for his support in GIS.
keywords urban feature analysis, data mining, urban database, urban complexity, GIS
series CAAD Futures
email
last changed 2012/02/11 19:21
_id ecaade2009_016
id ecaade2009_016
authors Sprecher, Aaron; Kalnitz, Paul
year 2009
title From Formal to Behavioral Architecture: Few Notes on the Abstraction of Function
source Computation: The New Realm of Architectural Design [27th eCAADe Conference Proceedings / ISBN 978-0-9541183-8-9] Istanbul (Turkey) 16-19 September 2009, pp. 161-166
doi https://doi.org/10.52842/conf.ecaade.2009.161
wos WOS:000334282200019
summary With the advent of information theories, contemporary architecture is approached in terms of the energetic formations of memorization, association and connection. The former architectural diagram becomes a concretization, an instance, one possibility, of an operational code. Memorization refers to the ability of architecture to embed information within the deepest composition of matter. Architectural performance has always been revealed by the integration, or association, of multiple parameters. Connections are vectors which fuse the knowledge of heterogeneous symbiotic human environments. In the “C-chair”, a project by our laboratory Open Source Architecture, abstract objects such as points, lines, and surfaces act as memorizers of information. As the codified system reacts to external forces, an association of two distinct graph structures is developed and connections are formed as the architectural object emerges.
keywords Computational algorithm, information theory, computing design, energetic architecture, behavioral system
series eCAADe
email
last changed 2022/06/07 07:56

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