Cumincad : CUMINCAD Papers : Search Results

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	ijac20053103
id	ijac20053103
authors	Malkawi, Ali M.; Srinivasan, Ravi S.
year	2005
title	Interfacing with the real space and its performance
source	International Journal of Architectural Computing vol. 3 - no. 1, 43-56
summary	This paper presents an immersive gesture-recognition-based system to visualize the indoor thermal environment using Computational Fluid Dynamics (CFD). To enable efficient visualization of CFD in actual space, an Augmented Reality system was integrated with a CFD simulation engine. To facilitate efficient data manipulation of the simulated postprocessed CFD data and to increase user control of the immersive environment, an intuitive method of Human-Computer Interaction (HCI) has been incorporated using gesture and speech recognition. While gesture recognition aids in transforming hand postures into command functions through forward kinematics and computation of hand segment positions and their joint angles, speech recognition allows better control of the data manipulation. This enabled real-time interactions between the users and simulated CFD results in actual space.
series	journal
more	http://www.multi-science.co.uk/ijac.htm
last changed	2007/03/04 07:08

_id	caadria2005_b_4a_a
id	caadria2005_b_4a_a
authors	Ravi S. Srinivasan, Ali M. Malkawi
year	2005
title	Reinforcement Learning and Real-time Building Thermal Performance Data Visualization
source	CAADRIA 2005 [Proceedings of the 10th International Conference on Computer Aided Architectural Design Research in Asia / ISBN 89-7141-648-3] New Delhi (India) 28-30 April 2005, vol. 2, pp. 141-148
doi	https://doi.org/10.52842/conf.caadria.2005.141
summary	Computational Fluid Dynamics (CFD) simulations are used to predict the fluid behavior and particle systems-in-action in three-dimensional space, allowing experts to evaluate a series of environmental decisions in designing buildings. Although computing power has increased in the past decade, detailed CFD simulations introduce time-delay that defeats the notion of real-time data visualization. A method that can bypass the time-consuming simulations and generate results comparable to detailed CFD simulations will allow such visualizations to be constructed. This paper discusses a pilot project that utilizes a Reinforcement Learning (RL) algorithm coupled with a simplified fluid dynamics equation to generate thermal performance data for real-time visualization.
series	CAADRIA
email
last changed	2022/06/07 08:00

_id	ijac20053301
id	ijac20053301
authors	Srinivasan, Ravi S.; Malkawi, Ali M.
year	2005
title	Real-time Simulations Using Learning Algorithms for Immersive Data Visualization in Buildings
source	International Journal of Architectural Computing vol. 3 - no. 3, 265-280
summary	Computational Fluid Dynamic (CFD) simulations are used to predict indoor thermal environments and assess their response to specific internal/external conditions. Although computing power has increased exponentially in the past decade, CFD simulations are still time-consuming and their prediction results cannot be used for real-time immersive visualization in buildings. A method that can bypass the timeconsuming simulations and generate "acceptable" results will allow such visualization to be constructed.This paper discusses a project that utilizes a supervised Artificial Neural Network (ANN) as a learning algorithm to predict post-processed CFD data to ensure rapid data visualization. To develop a generic learning model for a wide range of spatial configurations, this paper presents a pilot project that utilizes an unsupervised Reinforcement Learning (RL) algorithm. The ANN technique was integrated with an interactive, immersive Augmented Reality (AR) system to interact with and visualize CFD results in buildings. ANN was also evaluated against a linear regression model. Both models were tested and validated with datasets to determine their degree of accuracy. Initial tests, conducted to evaluate the user's experience of the system, indicated satisfactory results.
series	journal
more	http://www.ingentaconnect.com/search/expand?pub=infobike://mscp/ijac/2005/00000003/00000003/art00002
last changed	2007/03/04 07:08

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