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

id 505caadria2004
authors Yun Gil Lee, Il Ju Lee, Jin Won Choi
year 2004
title Location Modeling for Ubiquitous Computing Based on a Spatial Information Management Technology
source CAADRIA 2004 [Proceedings of the 9th International Conference on Computer Aided Architectural Design Research in Asia / ISBN 89-7141-648-3] Seoul Korea 28-30 April 2004, pp. 787-802
summary Location modeling, which generally has influence on location-aware applications, is a critical and interesting aspect. In the ubiquitous computing, location modeling has been discussed as one of fundamental research subject, because a location is a very essential element of contexts and useful information for other applications related with ubiquitous computing. Especially, location modeling in architectural space should be defined through the comprehension of the physical environment, because the users' (or objects) location does not only mean numerical coordinates, but also refers to the situation related to users' (or objects) physical contexts. In other hands, location model for architectural space should be based on the simplification of complicated physical environment, the consideration of corresponding various changes, and also the definition for the relationship of spatial information. Traditionally, those issues have been actively studied in the fields of CAAD (Computer Aided Architectural Design) research and could used effectively for ubiquitous computing system. This paper proposes the location model and its utilization method which can be applied on making the ubiquitous computing system in the architectural space based on CAAD theories. At the end of the paper, we present a CAAD system, called “Vitruius”, in order to define architectural spaces appropriately and manage them easily for the ubiquitous computing environment.
series CAADRIA
email jchoi@yonsei.ac.kr
full text file.pdf (329,937 bytes)
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