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	acadia17_284
id	acadia17_284
authors	Hu, Zhengrong; Park, Ju Hong
year	2017
title	HalO [Indoor Positioning Mobile Platform]: A Data-Driven, Indoor-Positioning System With Bluetooth Low Energy Technology To Datafy Indoor Circulation And Classify Social Gathering Patterns For Assisting Post Occupancy Evaluation
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 284-291
doi	https://doi.org/10.52842/conf.acadia.2017.284
summary	Post-Occupancy Evaluation (POE) as an integrated field between architecture and sociology has created practical guidelines for evaluating indoor human behavior within a built environment. This research builds on recent attempts to integrate datafication and machine learning into POE practices that may one day assist Building Information Modeling (BIM) and multi-agent modeling. This research is based on two premises: 1) that the proliferation of Bluetooth Low Energy (BLE) technology allows us to collect a building user’s data cost-effectively and 2) that the growing application of machine learning algorithms allows us to process, analyze and synthesize data efficiently. This study illustrates that the mobile platform HalO can serve as a generic tool for datafication and automation of data analysis of the movement of a building user. In this research, the iOS mobile application HalO, combined with BLE beacons enable building providers (architects, developers, engineers and facility managers etc.) to collect the user’s indoor location data. Triangulation was used to pinpoint the user’s indoor positions, and k-means clustering was applied to classify users into different gathering groups. Through four research procedures—Design Intention Analysis, Data Collection, Data Storage and Data Analysis—the visualized and classified data helps building providers to better evaluate building performance, optimize building operations and improve the accuracy of simulations.
keywords	design methods; information processing; data mining; IoT; AI; machine learning
series	ACADIA
email
last changed	2022/06/07 07:49

_id	sigradi2017_010
id	sigradi2017_010
authors	Guedes, Talyta; Robson Canuto
year	2017
title	Sistemas Fibrosos: Arquitetura para um aviário [Fibrous Systems: architecture for an aviary]
source	SIGraDi 2017 [Proceedings of the 21th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-227-439-5] Chile, Concepción 22 - 24 November 2017, pp.75-83
summary	The Dois Irmãos State Park, located in Recife, Brazil, is an area dedicated to research, environmental education and captive breeding, composed by a zoologic and vast rainforest area. Despite the educational and conservational purposes, the hostility and poor conditions of the zoo’s captivities may negatively affect animals, mentally and physically, which contradicts concepts of preservation and sustainability. This work, hence, investigates the architectural capacity of improving captivity spaces by promoting integration between species, natural and built environment. It explores concepts of morphoecology, computational design techniques and fibrous tectonics strategies in order to create adequate ecosystems essentials for encouraging ecological resilience.
keywords	Capitivity spaces; Aviary; Material systems, Fibrous tectonic; Computational design.
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	caadria2017_017
id	caadria2017_017
authors	Park, Hyejin, Lee, Seunghyun, Kim, Eonyong and Choo, Seungyeon
year	2017
title	A Proposal for Building Safety Diagnosis Processes using BIM-based Reverse Engineering Technology
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 673-682
doi	https://doi.org/10.52842/conf.caadria.2017.673
summary	Recently, the aging of buildings is accelerating around the world. In line with this, architectural structures constructed long time ago require life extension and ongoing management and protection for improvement, because they are too deteriorated. In particular, since structural safety inspection and analysis in building is very important, 'DFS (Design For Safety)'system has been introduced and conducted at the national level in Korea for the whole building life cycle management system encompassing the entire design, work commencement, construction, and completion stages. However, we do not have a system ranging from repair and reinforcement work plans in doing safety design, structural inspection and analysis to ongoing safety inspection. Therefore, it is necessary to establish a system to produce and share integrated information and conduct a research to manage architectural structure across the whole life cycle. Accordingly, this study aims to propose BIM-based reverse engineering technology for generating a safety management model based on laser scanner, verify the investigation items to be utilized of the design when building safety, and seek ways to utilize them for safety design.
keywords	BIM; reverse engineering; building safety diagnosis; laser scanning; design for safety
series	CAADRIA
email
last changed	2022/06/07 08:00

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