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 caadria2010_049
id caadria2010_049
authors Fukuda, Tomohiro and Hitoshi Takeuchi
year 2010
title Development of use flow of 3D CAD / VR software for citizens who are non-specialists in city design
source Proceedings of the 15th International Conference on Computer Aided Architectural Design Research in Asia / Hong Kong 7-10 April 2010, pp. 521-530
summary The purpose of this study is the development of a tool by which citizens who are non-specialists can design a regional revitalisation project. Therefore, a 3D CAD / VR (3-dimensional computer-aided design / virtual reality) combination system was developed by using SketchUP Pro, GIMP, and UC-win / Road. This system has the advantages of low cost and easy operation. The utility of the system was verified as a result of applying the developed prototype system in the Super Science High School program for high school students created by the Ministry of Education, Culture, Sports, Science and Technology, Japan. It has been used for two years, since 2007. In addition, the characteristics of the VR made by the non-specialists were considered.
keywords Urban renewal design; participatory planning; 3D CAD; VR; design by non-specialists
series CAADRIA
last changed 2012/05/30 19:29

_id ga0022
id ga0022
authors Tokui, Nao and Iba, Hitoshi
year 2000
title Music Composition with Interactive Evolutionary Computation
source International Conference on Generative Art
summary Interactive Evolutionary Computation (IEC), i.e., Evolutionary Computation whose fitness function is provided by a user his/herself, has been applied to esthetic areas, such as art, design and music. We cannot necessarily define fitness functions explicitly in these areas. With IEC, however, we can embed the user's implicit preference into the optimization system. This paper describes a new approach to music composition, more precisely the composition of rhythms, by means of IEC. The main feature of our method is to combine Genetic Algorithms (GA) and Genetic Programming (GP). In our system, GA individuals represent short pieces of rhythmic patterns, while GP individuals express how these patterns are arranged in terms of their functions. Both populations are evolved interactively through the user's evaluation. The integration of interactive GA and GP makes it possible to search for musical structures effectively in the vast search space. In this paper, we show how successfully our proposed method can generate attractive musical rhythms. The effectiveness of our system is demonstrated by the evolved rhythm phrases, which are available from our web site as sound files.
series other
last changed 2003/08/07 15:25

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