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 ecaade2014_146
id ecaade2014_146
authors Davide Ventura and Matteo Baldassari
year 2014
title Grow: Generative Responsive Object for Web-based design - Methodology for generative design and interactive prototyping
source Thompson, Emine Mine (ed.), Fusion - Proceedings of the 32nd eCAADe Conference - Volume 2, Department of Architecture and Built Environment, Faculty of Engineering and Environment, Newcastle upon Tyne, England, UK, 10-12 September 2014, pp. 587-594
doi https://doi.org/10.52842/conf.ecaade.2014.2.587
wos WOS:000361385100061
summary This paper is part of the research on Generative Design and is inspired by the ideas spread by the following paradigms: the Internet of Things (Auto-ID Center, 1999) and the Pervasive/Ubiquitous Computing (Weiser, 1993). Particularly, the research describes a number of case studies and, in detail, the experimental prototype of an interactive-design object: “Grow-1”. The general assumptions of the study are as follows: a) Developing the experimental prototype of a smart-design object (Figure 1) in terms of interaction with man, with regard to the specific conditions of the indoor environment as well as in relation to the internet/web platforms. b) Setting up a project research based on the principles of Generative Design.c) Formulating and adopting a methodology where computational design techniques and interactive prototyping ones converge, in line with the principles spread by the new paradigms like the Internet of Things.
keywords Responsive environments and smart spaces; ubiquitous pervasive computing; internet of things; generative design; parametric modelling
series eCAADe
email
last changed 2022/06/07 07:55

_id ecaade2014_208
id ecaade2014_208
authors Bruno Figueiredo, Eduardo Castro e Costa, Bruno Araújo, Fernando Fonseca, Daniel Mendes, Joaquim A Jorge and José Pinto Duarte
year 2014
title Interactive Tabletops for Architectural Visualization - Combining Stereoscopy and Touch Interfaces for Cultural Heritage
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. 585-592
doi https://doi.org/10.52842/conf.ecaade.2014.1.585
wos WOS:000361384700058
summary This paper presents an interactive apparatus to didactically explore Alberti's treatise on architecture, De re aedificatoria, as generative design systems, namely shape grammars. This apparatus allows users to interactively explore such architectonical knowledge in both appealing and informal ways, by enabling them to visualize and manipulate in real-time different design solutions. The authors identify the difficulties on encoding the architectural knowledge of a parametric design model into an interactive apparatus to be used by laypeople. At last, the authors discuss the results of a survey conducted to users that interacted with the prototype in order to assess its ability to communicate the knowledge of an architectural language.
keywords Alberti; generative design; multi-modal interfaces; shape grammars; user experience
series eCAADe
type normal paper
email
last changed 2022/06/07 07:54

_id ecaade2014_149
id ecaade2014_149
authors Matthias Standfest
year 2014
title Unsupervised Symmetric Polygon Mesh Mapping - The Dualism of Mesh Representation and Its Implementation for Many Layered Self-Organizing Map Architectures
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. 505-513
doi https://doi.org/10.52842/conf.ecaade.2014.1.505
wos WOS:000361384700050
summary With this paper we present a fully automated semantic shape similarity detection based on N-rings with further potential for shape synthesis in a topological correct feature space. Therefore a way of symmetric encoding of geometry, optimized for the use as feature-vector in self-organizing maps, is introduced. Furthermore we present a modified kernel for the detection of the best matching unit in self-organizing maps especially designed for a data topology differing from the default predecessor/successor structure. Finally we provide the results of a conducted experiment clustering building blocks of an area in Zürich, Switzerland.
keywords Unsupervised machine learning; geometry clustering; self-organizing map; mesh synthesis; probabilistic modelling
series eCAADe
email
last changed 2022/06/07 07:58

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