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	caadria2008_72_session7a_594
id	caadria2008_72_session7a_594
authors	Kosavinta, Satakhun
year	2008
title	Collaborative Financial Feasibility With CAAD For Residential Development
source	CAADRIA 2008 [Proceedings of the 13th International Conference on Computer Aided Architectural Design Research in Asia] Chiang Mai (Thailand) 9-12 April 2008, pp. 594-600
doi	https://doi.org/10.52842/conf.caadria.2008.594
summary	Computer Aided Architectural Design software is a necessary tool for the architectural design of a visible object or model. In residential development, an estimation of time/cost corresponding to the design is needed in order to complete its successful project. But available feasibility supporting tools usually lacks ability to share their information. To solve this limitation, this research proposes a design of Graphic User Interface (GUI) for collaborative financial feasibility through an architectural design process in housing project. The development of the GUI starts from collecting some information and requirement from National Housing Authority of Thailand. A heuristic decision making approach based on financial analysis are then designed for both design processes and feasibility processes of the project. Finally, design of the GUI is an integration of CAAD engines, design standards and financial feasibility analysis. Proposed GUI for collaborative financial feasibility is also tested and verified with some information from sample past projects of the National Housing Authority. From the experimental results, This GUI allows designers to improve the design of the project in real-time by inspecting the result of their design via the part of the architectural design-oriented GUI called myMonitoring and Scratch Pad. Together with planning, collaborative financial feasibility is focusing on the four main financial parameters which illustrated the possible chance of the project: Net Present Value (NPV), Benefit-Cost Ratio (B/C), Internal Rate of Return (IRR), and Payback Period. The core system was developed on Java Technology such as JSP and Swing empowered by 3D game engine. In addition, “Virtools” as an authoring tool was applied to improve interactive 3D virtual environment and explore rapid online system prototyping.
keywords	Collaborative: Financial Feasibility; CAAD; Residential Development; Virtual Reality (VR)
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	caadria2008_40_session4b_328
id	caadria2008_40_session4b_328
authors	Lin, Chieh-Jen; Mao-Lin Chiu
year	2008
title	Open Ontology: A Self-Organizing Tool for Knowledge Acquisition in a Case Library
source	CAADRIA 2008 [Proceedings of the 13th International Conference on Computer Aided Architectural Design Research in Asia] Chiang Mai (Thailand) 9-12 April 2008, pp. 328-334
doi	https://doi.org/10.52842/conf.caadria.2008.328
summary	This paper is aimed to establish a sufficiently formalized, expandable metadata authoring tool of a case library based on ontology methodologies of AI. This tool cannot only self-organize facts of cases’ features, but can also guide users to arrange those facts into a formalized structure to facilitate design reasoning. Then knowledge experts, such as design instructors or project managers, can apply this tool to author and organize metadata of cases’ features in order to build knowledge templates for special situations. Beginners, such as students or assistants, can apply those templates to indicate and analyze facts of collected cases’ features and acquire essential knowledge in solving problems. Finally, through easily recognized semantic relations of metadata, facts of cases’ features can be self-organized, and the system can apply data mining techniques to detect and discover hidden knowledge patterns among facts of cases’ features.
keywords	Case Library; Design Knowledge; Knowledge Representation; Semantic Ontology; and Data Mining
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	acadia11_242
id	acadia11_242
authors	Braumann, Johannes; Brell-Cokcan, Sigrid
year	2011
title	Parametric Robot Control: Integrated CAD/CAM for Architectural Design
source	ACADIA 11: Integration through Computation [Proceedings of the 31st Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA)] [ISBN 978-1-6136-4595-6] Banff (Alberta) 13-16 October, 2011, pp. 242-251
doi	https://doi.org/10.52842/conf.acadia.2011.242
summary	Robots are gaining popularity in architecture. Snøhetta has recently purchased their own industrial robot, becoming one of the first architectural offices to adopt robot technology. As more and more architects are exposed to robotic fabrication, the need for easy interoperability, integration into architectural design tools and general accessibility will increase. Architects are discovering that industrial robots are much more than kinematic machines for stacking bricks, welding or milling - they are highly multifunctional and can be used for a huge variety of tasks. However, industry standard software does not provide easy solutions for allowing direct robot control right from CAAD (Computer Aided Architectural Design) systems. In this paper we will discuss existing methods of programming industrial robots, published architectural results (Gramazio and Kohler 2008) and the design of a new user interface that allows intuitive control of parametric designs and customized robotic mass production, by integrating CAM (Computer Aided Manufacturing) functions into CAAD.
keywords	robot programming; parametric design; mass customization; grasshopper component design; fabrication; robot milling; digital architecture
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:54

_id	caadria2008_9_session1b_075
id	caadria2008_9_session1b_075
authors	Chien, Sheng-Fen
year	2008
title	Probing elders’ needs for smart technologies in the domestic environment
source	CAADRIA 2008 [Proceedings of the 13th International Conference on Computer Aided Architectural Design Research in Asia] Chiang Mai (Thailand) 9-12 April 2008, pp. 75-80
doi	https://doi.org/10.52842/conf.caadria.2008.075
summary	This paper presents an initial investigation into developing smart homes for the elderly. Smart homes refer to domestic living environments that equipped with “sensible” and “responsive” facilities, which employ smart technologies, to provide occupants a sound and comfortable living. Designers and sociologists have observed reluctances and even rejections to these technologies from the elderly. A Cultural Probes study shows that the elderly welcome new technologies but reject robotic companionships. In addition, a questionnaire survey concludes that smart technologies for home safety and security, energy conservation and usage monitoring, as well as health care and maintenance, are desirable.
keywords	Smart home; the elderly; cultural probe; questionnaire; survey
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	ecaade2017_202
id	ecaade2017_202
authors	Sollazzo, Aldo, Trento, Armando and Baseta, Efilena
year	2017
title	Machinic Agency - Implementing aerial robotics and machine learning to map public space
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 611-618
doi	https://doi.org/10.52842/conf.ecaade.2017.2.611
summary	The research presented in this paper is focused on proposing a new digital workflow, involving unmanned aerial vehicles (UAV) and machines learning systems, in order to detect and map citizen's behaviors in the context of public spaces.Novel machinic abilities can be implemented in the understanding of the human context, decoding, through computer visions and machine learning, complex systems into intelligible outputs (Olson, 2008), mapping the relationships of our reality. In this framework, robotic and computational strategies can be implemented in order to offer a new description of public spaces, bringing to light the hidden forces and multiple layers constituting the urban habitat. The presented study focuses on the development of a methodology turning video frames collected from cameras installed on drones into large datasets used to train convolutional networks and enable machines learning systems to detect and map pedestrians in public spaces.
keywords	mapping; drones; machine learning; computer vision; city
series	eCAADe
email
last changed	2022/06/07 07:56

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