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 caadria2006_323
id caadria2006_323
authors SHANG-YUAN CHEN, MAO-LIN CHIU
year 2006
title AGENT-BASED SMART SKINS: Fuzzy-logic and neuro-fuzzy approaches to smart house design
doi https://doi.org/10.52842/conf.caadria.2006.x.s0x
source CAADRIA 2006 [Proceedings of the 11th International Conference on Computer Aided Architectural Design Research in Asia] Kumamoto (Japan) March 30th - April 2nd 2006, 323-330
summary Recent developments in sensor, computing, and information and communication technologies have inspired the creation of new smart devices and environments. This paper proposes a “smart skin” that is capable of actively inferring and detecting normal or abnormal status, making optimal decisions, and learning to adapt its functions to map environmental variations to occupant needs. This paper explores the potential of smart skins and proposes three key elements for their integration: (1) intelligent agents, (2) context awareness, and (3) fuzzy logic and neuro-fuzzy systems. Prototypes are demonstrated and further discussion is made.
series CAADRIA
email
last changed 2022/06/07 07:50

_id ascaad2006_paper5
id ascaad2006_paper5
authors Yuan Chen, Shang
year 2006
title A Collaborative Digital Design Workshop: an ANN-based paradigm approach
source Computing in Architecture / Re-Thinking the Discourse: The Second International Conference of the Arab Society for Computer Aided Architectural Design (ASCAAD 2006), 25-27 April 2006, Sharjah, United Arab Emirates
summary This paper relies on observation and analysis an internationally digital design exchange activity, “The FCU & Bartlett School of Architecture, university college London (UCL) digital architecture workshop” to propose an educational model based on the artificial neural network (ANN). We expect that the results of this work can lead to the establishment of a scoring mechanism that can "adapt" to the difficulty of assigned problems and assess students' progress. An international technological exchange workshop based on the theme of digital design is helpful to attain an accelerated heightening in the quality and experience of education. This is going to be an educational trend and increasingly prevalent in the future. A successful educational curriculum in digital design relies on a concerted effort amongst curriculum framework, learning activities, and course content. While, an internationally exchange digital design workshop is different from traditional "semester-based" units of curriculums. The short-term educational models are required high degrees interaction and collaboration. On the other hand, artificial neural network system that is context aware in ill-defined and complex environments is highly adaptive. It can extract, interpret and use the context information and adapt its functions to obtain an optimal correspondence between “context change” and “desired goal” efficiently. Therefore, an ANN-based pedagogical mechanism is able to encourage students to select relatively difficult design problems and promote more design originality, interaction and collaboration.
series ASCAAD
email
last changed 2007/04/08 19:47

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