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	caadria2018_059
id	caadria2018_059
authors	Hwang, Ji-Hyoun and Lee, Hyunsoo
year	2018
title	A Parametric Design Model for Numerically Measuring the Design Attributes of Prospect-Refuge
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 577-586
doi	https://doi.org/10.52842/conf.caadria.2018.2.577
summary	The prospect-refuge is a concept to explain the preferred environment that provides restoration, concentration and safety, ultimately improving comfort. We focus on fenestration and ceiling height to provide the good prospect-refuge conditions simultaneously for interior spaces. The aim of this paper is to develop a design model by adjusting the window's design properties and ceiling height. Parametric design model and 3D visibility are employed to propose a method that quantify the prospect-refuge and presents the design alternatives of the window and ceiling. First, we explain parameters and an algorithm of a parametric model for measuring the 3D visibility. Second, this paper presents a way to generate design alternatives of the window and ceiling height. Finally, this research evaluates and analyses design alternatives of the window and ceiling height. With the parametric design technology for measuring prospect-refuge, proposed method could present various design alternatives in interior spaces, simultaneously considering the concept of prospect-refuge.
keywords	parametric design; window design; ceiling height; prospect-refuge; design alternatives
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	lasg_whitepapers_2019_133
id	lasg_whitepapers_2019_133
authors	Ji, Haru Hyunkyung; and Graham Wakefield
year	2019
title	Selected Artificial Natures, 2017-2018
source	Living Architecture Systems Group White Papers 2019 [ISBN 978-1-988366-18-0] Riverside Architectural Press: Toronto, Canada 2019. pp.133 - 142
summary	Artificial Nature is a research-creation collaboration co-founded by Haru Hyunkyung Ji and Graham Wakefield in 2007. It has led to a decade of immersive installations in which the invitation is to become part of an alien ecosystem rich in feedback networks.1 Here we present four recent works in this series between 2017 and 2018.
keywords	living architecture systems group, organicism, intelligent systems, design methods, engineering and art, new media art, interactive art, dissipative systems, technology, cognition, responsiveness, biomaterials, artificial natures, 4DSOUND, materials, virtual projections,
email
last changed	2019/07/29 14:02

_id	caadria2018_062
id	caadria2018_062
authors	Narengerel, Amartuvshin, Hong, Sukjoo, Lee, Chae-Seok and Lee, Ji-Hyun
year	2018
title	FBSMAP: The Spatial Representation Method for Intelligent Semantic Service in Indoor Environment
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 587-596
doi	https://doi.org/10.52842/conf.caadria.2018.2.587
summary	In order to provide intelligent services in complex and diverse indoor environments, it is necessary to understand spatial features of indoor objects: furniture and items. Function-Behavior-Structure Map (FBSMAP), which is a novel indoor representation method that focuses on space functionality for intelligent semantic services, is introduced in this study. The three steps of FBSMAP are defining spatial components, constructing semantic map for indoor environment, and securing spatial features. This novel implementation method is implemented and examined on 3D house models.
keywords	Indoor Representation Method; Semantic Space; Spatial Subdivision; IndoorGML; Furniture Semantics
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	ecaade2018_196
id	ecaade2018_196
authors	Nováková, Kateøina, Prokop, Šimon, Vele, Jiøí and Achten, Henri
year	2018
title	PET(s)culpt - Crowd-printing recycled polyethylene tereftalate
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 53-58
doi	https://doi.org/10.52842/conf.ecaade.2018.2.053
summary	One of the attitudes to recycling plastic in architectural design is it re-printing. 3D Printing of recycled polyethylene tereftalate is in its birth-days. Recycled filament can be bought in Argentina or Netherlands but lack of experience with this reborn material blocks its use in the Czech Republic. Firstly we made a study of settings of the home-3D-printers for this material. Secondly we came with a crowd printing project, which tested the possibility to print structural pieces by on various low-cost printers.
keywords	3D printing; sculpting; polyethylene tereftalate; crowd-printing; plastic recycling
series	eCAADe
email
last changed	2022/06/07 08:00

_id	cf2019_003
id	cf2019_003
authors	Steinfeld, Kyle; Katherine Park, Adam Menges and Samantha Walker
year	2019
title	Fresh Eyes A framework for the application of machine learning to generative architectural design, and a report of activities at Smartgeometry 2018
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 22
summary	This paper presents a framework for the application of Machine Learning (ML) to Generative Architectural Design (GAD), and illustrates this framework through a description of a series of projects completed at the Smart Geometry conference in May of 2018 (SG 2018) in Toronto. Proposed here is a modest modification of a 3-step process that is well-known in generative architectural design, and that proceeds as: generate, evaluate, iterate. In place of the typical approaches to the evaluation step, we propose to employ a machine learning process: a neural net trained to perform image classification. This modified process is different enough from traditional methods as to warrant an adjustment of the terms of GAD. Through the development of this framework, we seek to demonstrate that generative evaluation may be seen as a new locus of subjectivity in design.
keywords	Machine Learning, Generative Design, Design Methods
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	caadria2018_199
id	caadria2018_199
authors	Wang, Likai, Janssen, Patrick and Ji, Guohua
year	2018
title	Efficiency versus Effectiveness - A Study on Constraint Handling for Architectural Evolutionary Design
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 163-172
doi	https://doi.org/10.52842/conf.caadria.2018.1.163
summary	This paper investigates the impacts of constraint handling on the evolutionary designs in terms of time efficiency and evolutionary effectiveness. To analyse this issue systematically, three generative models with different constraint handling strategies were constructed. The locality of the models and the associated positive and negative impacts on evolutionary designs were analysed.
keywords	constraint handling; locality; evolutionary design; time efficiency; evolutionary effectiveness
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	caadria2018_237
id	caadria2018_237
authors	Yi, Taeha, Lee, Injung, Lee, Chae-Seok, Lee, Gi Bbeum, Kim, Meereh and Lee, Ji-Hyun
year	2018
title	Interactive Data Acquisition for CBR System Based Smart Home Assistant - Utilizing Function-Behavior-Structure Framework
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 525-534
doi	https://doi.org/10.52842/conf.caadria.2018.2.525
summary	This research aims to develop a Case-Based Reasoning (CBR) system that recommends services to users in IoT environment. To develop this system, we establish a framework that designs raw data into analyzable information using Function-Behavior-Structure properties. Also, we develop an interactive flow of data acquisition that builds up cases gradually by gathering data through conversational interactions between the system and its user. This research develop a prototype of this system based on simulated cases. Finally, the prototype of this system was evaluated by experts in the field of system design to verify how the service (solution) recommended by system is similar with them. The results of this evaluation showed an agreement of average 54%, but found that there was a big difference from the experts in the specific context. This result implies that it is necessary to improve the context awareness in the reasoning process of this system.
keywords	Case Based Reasoning; Function-Behavior-Structure framework; Service recommendation; IoT environment; Conversation
series	CAADRIA
email
last changed	2022/06/07 07:57

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