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 ecaade2013_062
id ecaade2013_062
authors Bittermann, Michael S. and Ciftcioglu, Ozer
year 2013
title Ambient Surveillance by Probabilistic-Possibilistic Perception
source Stouffs, Rudi and Sariyildiz, Sevil (eds.), Computation and Performance Proceedings of the 31st eCAADe Conference Volume 2, Faculty of Architecture, Delft University of Technology, Delft, The Netherlands, 18-20 September 2013, pp. 345-353
wos WOS:000340643600035
summary A method for quantifying ambient surveillance is presented, which is based on probabilistic-possibilistic perception. The human surveillance of a scene through observing camera sensed images on a monitor is modeled in three steps. First immersion of the observer is simulated by modeling perception of the scene from the camera locations using probabilistic perception approach. The perceptions are thereafter combined by means of probabilistic union, simulating simultaneous watching of the scene from multiple viewing positions. As third step the combined perceptions are converted to a possibility using triangular possibility density function. The latter step accounts for the fact that surveillance takes place via monitor depiction and not directly as perception of the actual physical scene. The method is described and demonstrated by means of an ambient surveillance application involving three cameras. The resulting possibility of perception is compared to the case of using two cameras, quantifying the added value of additional camera as to surveillance.
keywords Perception; possibility; ambient intelligence; surveillance.
series eCAADe
email m.s.bittermann@tudelft.nl
last changed 2016/05/16 09:08

_id cf2011_p092
id cf2011_p092
authors Bittermann, Michael S.
year 2011
title Sustainable Conceptual Building Design using a Cognitive System
source Computer Aided Architectural Design Futures 2011 [Proceedings of the 14th International Conference on Computer Aided Architectural Design Futures / ISBN 9782874561429] Liege (Belgium) 4-8 July 2011, pp. 297-314.
summary A cognitive system for conceptual building design is presented. It is based on an adaptive multi-objective evolutionary algorithm. The adaptive approach is novel and, in contrast with conventional multi-objective evolutionary algorithms, it explores the solution space effectively, while maintaining diversity among the solutions. The suitability of the approach for conceptual design of a multi-purpose building complex is demonstrated in an application. In the application, the goal of maximizing sustainability is treated by means of a model, which is established using neural computations. The approach is found to be suitable for treating the soft nature of the sustainability concept. Also, the capability of the approach to compare the performance of alternative solutions from an unbiased viewpoint, i.e. without committing a-priori to a relative importance among the performance aspects, is demonstrated.
keywords computational design, sustainable design, adaptive evolutionary algorithm, Pareto optimality, neural computation
series CAAD Futures
email m.s.bittermann@tudelft.nl
last changed 2012/02/11 18:21

_id ecaade2013_061
id ecaade2013_061
authors Ciftcioglu, Ozer and Bittermann, Michael S.
year 2013
title Fusion of Perceptions in Architectural Design
source Stouffs, Rudi and Sariyildiz, Sevil (eds.), Computation and Performance Proceedings of the 31st eCAADe Conference Volume 2, Faculty of Architecture, Delft University of Technology, Delft, The Netherlands, 18-20 September 2013, pp. 335-344
wos WOS:000340643600034
summary A method for fusion of perceptions is presented. It is based on probabilistic treatment of perception, where perception quantifies the chance an unbiased observer sees an environmental object, and the associated probability can be interpreted as degree of awareness for the object. The approach uniquely accounts for the fact that final realization or remembrance of a scene in the brain may be absent or elusive, so that it is subject to probabilistic considerations. For objects that are to be perceived from multiple viewpoints, such as a sculpture in a museum, or a building in its urban context, the probabilistic approach uniquely defines the fusion of perceptions. This is accomplished by carrying out the probabilistic union of events. The computation is presented together with its geometric implications, which become rather intricate for multiple observers, whereas the computation is straight forward. The method is exemplified for two applications in architectural design at different scales, namely interior and urban design, indicating the generic nature as well as the large application potential of the method.
keywords Perception; vision modeling; architectural design; evolutionary search.
series eCAADe
email m.s.bittermann@tudelft.nl
last changed 2016/05/16 09:08

_id cf2011_p147
id cf2011_p147
authors Erbas, Irem; Bittermann Michael, Stouffs Rudi
year 2011
title Use of a Knowledge Model for Integrated Performance Evaluation for Housing (re)design Towards Environmental Sustainability: A Case Study
source Computer Aided Architectural Design Futures 2011 [Proceedings of the 14th International Conference on Computer Aided Architectural Design Futures / ISBN 9782874561429] Liege (Belgium) 4-8 July 2011, pp. 281-296.
summary This paper focuses on the development of a knowledge model in the context of energy efficiency and indoor climate interventions, their impacts on each other and on architectural design preferences (for instance architectural expression or any spatial functionality aspect) via an existing house case study. In addition, it attempts to discuss how this type of model can be a reference for a decision support tool and be applied to the (re)design of dwellings. The model is considered to provide an integral knowledge base for the design professional both to evaluate existing designs and to use it as a support during design and decision making in order to reach the best possible solution, with optimal performance in terms of indoor comfort, energy-efficiency and overall design performance. In other words, its aim is to enable the assessment of the performance of the end result with respect to design choices, beforehand. In this paper, design performance is modeled by means of fuzzy logic operations. It is a method to deal with subjective and vague requirements such as low energy consumption, low overheating risk, high comfort, etc. The method of intelligent information processing is explained and a partial application is presented.
keywords energy efficiency, indoor comfort, design decision support, knowledge modeling, performance evaluation
series CAAD Futures
email i.erbas@tudelft.nl
last changed 2012/02/11 18:21

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