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	acadia23_v1_180
id	acadia23_v1_180
authors	Huang, Lee-Su; Spaw, Gregory
year	2023
title	InterLoop
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 1: Projects Catalog of the 43rd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 180-187.
summary	InterLoop employs previously developed workflows that enable multi-planar robotic bending of metal tubes with high accuracy and repeatability (Huang and Spaw 2022). The scale and complexity is managed by employing augmented reality (AR) technology in two capacities, fabrication and assembly (Jahn et al. 2018; Jahn, Newnham, and Berg 2022). The AR display overlays part numbers, bending sequences, expected geometry, and robot movements in real time as the robot fabrication is occurring. For assembly purposes, part numbers, centerlines, and their expected positional relationships are projected via quick response (QR) codes spatially tracked by the Microsoft Hololens 2 (Microsoft 2019). This is crucial due to the length and self-similarity of complex multi-planar parts that make them difficult to distinguish and orient correctly. Leveraging augmented reality technology and robotic fabrication uncovers a novel material expression in tubular structures with bundles, knots, and interweaving (Figure 1).
series	ACADIA
type	project
email
last changed	2024/04/17 13:58

_id	acadia23_v2_340
id	acadia23_v2_340
authors	Huang, Lee-Su; Spaw, Gregory
year	2023
title	Augmented Reality Assisted Robotic: Tube Bending
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 2: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-0-3]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 340-349.
summary	The intent of this research is to study potential improvements and optimizations in the context of robotic fabrication paired with Augmented Reality (AR), leveraging the technology in the fabrication of the individual part, as well as guiding the larger assembly process. AR applications within the Architecture, Engineering, and Construction (AEC) industry have seen constant research and development as designers, fabricators, and contractors seek methods to reduce errors, minimize waste, and optimize efficiency to lower costs (Chi, Kang, and Wang 2013). Recent advancements have made the technology very accessible and feasible for use in the field, as demonstrated by seminal projects such as the Steampunk Pavilion in Tallinn, Estonia (Jahn, Newnham, and Berg 2022). These types of projects typically improve manual craft processes. They often provide projective guidelines, and make possible complex geometries that would otherwise be painstakingly slow to complete and require decades of artisanal experience (Jahn et al. 2019). Building upon a previously developed robotic tube bending workflow, our research implements a custom AR interface to streamline the bending process for multiple, large, complex parts with many bends, providing a pre-visualization of the expected fabrication process for safety and part-verification purposes. We demonstrate the utility of this AR overlay in the part fabrication setting and in an inadvertent, human-robot, collaborative process when parts push the fabrication method past its limits. The AR technology is also used to facilitate the assembly process of a spatial installation exploring a unique aesthetic with subtle bends, loops, knots, bundles, and weaves utilizing a rigid tube material.
series	ACADIA
type	paper
email
last changed	2024/12/20 09:12

_id	caadria2021_115
id	caadria2021_115
authors	Chen, Qin Chuan, Lakshmi Narasimhan, Vaishnavi and Lee, Hyunsoo
year	2021
title	The potential of IoT-based smart environment in reaction to COVID-19 pandemic
doi	https://doi.org/10.52842/conf.caadria.2021.2.709
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 709-718
summary	COVID-19 was first reported in late December 2019 and quickly become a global health crisis. In the COVID-19 pandemic context, the dense and open characteristics make the public spaces a potential virus transmission hotspot. Therefore, it is extremely critical to adopt a more advanced and effective method in public environments to slow down its spread until a vaccine is widely used. A smart environment in the form of IoT, also known as the architecture of IoT, consists of three layers: perception layer, network layer, and application layer. A smart environment allows data and activities that happen in this environment to be collected, processed, and shared in real-time through various sensors. It can be introduced for early detection, tracking, and monitoring of potential confirmed cases. The smart environment is considered one of the most promising approaches to face and tackle the current scenario. However, research focusing on the potential of IoT smart environment in reaction to COVID-19 is still meager. Therefore, this paper identifies the smart environments potential based on the concept of IoT architectures three layers and further discusses how IoT can be introduced in public spaces to help battle the pandemic.
keywords	Internet of Things; Smart environment; COVID-19
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	cf2019_020
id	cf2019_020
authors	Belém, Catarina; Luís Santos and António Leitão
year	2019
title	On the Impact of Machine Learning: Architecture without Architects?
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 148-167
summary	Architecture has always followed and adopted technological breakthroughs of other areas. As a case in point, in the last decades, the field of computation changed the face of architectural practice. Considering the recent breakthroughs of Machine Learning (ML), it is expectable to see architecture adopting ML-based approaches. However, it is not yet clear how much this adoption will change the architectural practice and in order to forecast this change it is necessary to understand the foundations of ML and its impact in other fields of human activity. This paper discusses important ML techniques and areas where they were successfully applied. Based on those examples, this paper forecast hypothetical uses of ML in the realm of building design. In particular, we examine ML approaches in conceptualization, algorithmization, modeling, and optimization tasks. In the end, we conjecture potential applications of such approaches, suggest future lines of research, and speculate on the future face of the architectural profession.
keywords	Machine Learning, Algorithmic Design, AI for Building Design
series	CAAD Futures
type	normal paper
email
last changed	2019/07/29 14:54

_id	caadria2019_452
id	caadria2019_452
authors	Choi, Minkyu, Yi, Taeha, Kim, Meereh and Lee, Ji-Hyun
year	2019
title	Land Price Prediction System Using Case-based Reasoning
doi	https://doi.org/10.52842/conf.caadria.2019.1.767
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 767-774
summary	Real estate price prediction is very complex process. Big data and machine learning technology have been introduced in many research areas, and they are also making such an attempt in the real estate market. Although real estate price forecasting studies is actively conducted, using support vector machine, machine learning algorithm, AHP method, and so on, validity and accuracy are still not reliable.In this research, we propose a Case-Based Reasoning system using regression analysis to allocate weight of attributes. This proposed system can support to predict the real estate price based on collecting public data and easily update the knowledge about real estate. Since the result shows error rate less than 30% through the experiment, this algorithm gives better performance than previous one. By this research, it is possible for help decision-makers to expect the real estate price of interested area.
keywords	Artificial intelligence; Case-based reasoning; Land price prediction; Regression
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2019_332
id	caadria2019_332
authors	Dwivedi, Urvashi, Porcellini, Valentin, Hong, Sukjoo, Chang, Zhuming and Lee, Ji-Hyun
year	2019
title	Computing Spatial Features to Allocate Collision-free Motion-paths for Tele-presence Avatars
doi	https://doi.org/10.52842/conf.caadria.2019.1.245
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 245-254
summary	Recently, indoor-intelligent services like "Tele-presence" have made quite an advancement. Therefore, to completely 1) understand the diverse indoor environment, 2) efficiently calculate similarity for semantic spaces and 3) for defining an efficient path movement for an augmented reality-based Avatar; we propose spatial features computation, graphical representation and Topology-based graph-similarity measure for complex domains to overcome the limited visibility of an Avatar. Thus, collision with the surrounding objects in a given indoor-space can be avoided. This study begins by securing spatial features of objects, e.g., furniture, doorways, etc., of an indoor environment from an FBSMAP (Function-Behaviour-Structure Map). Then, we establish a method for defining similarity for locations and paths.
keywords	Tele-presence Avatar; Activity space; Topology; Spatial similarity; Similarity measure; Cell; Field of view.
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	caadria2019_404
id	caadria2019_404
authors	Hyejin, Park, Hyeongmo, Gu, Woojun, Lee, Inhan, Kim and Seungyeon, Choo
year	2019
title	A Development of KBIMS-based Building Design Quality Evaluation and Performance Review Interface
doi	https://doi.org/10.52842/conf.caadria.2019.1.747
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 747-756
summary	Recently, The South Korean national government and local governments in Korea are pursuing national R & D tasks that can be used in the design stage to expand the BIM technology to the public environment of the future city, such as the construction of the IT integrated architecture design environment and the convenient construction administrative system environment. Among these R & D researches, various studies are continuing to provide more convenient and accurate architectural services at the licensing stage in order to promote the introduction and practical use of BIM in the Korean construction industry. Typical examples are BIM-based building design quality evaluation and building performance review technology development. Therefore, the goal of this study is to introduce the case of developing the performance review interface according to the regulation and required performance criterion of BIM model using KBIMS and analyze the possibility of evaluating building design quality by applying this to a practical project.
keywords	OpenBIM; Design Automation; Performance Review; Design Quality; Legal Review
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	cf2019_032
id	cf2019_032
authors	Khean, Nariddh; Alessandra Fabbri, David Gerber and M. Hank Haeusler
year	2019
title	Examining Potential Socio-economic Factors that Aﬀect Machine Learning Research in the AEC Industry
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 254
summary	Machine learning (ML) has increasingly dominated discussions about the shape of mankind’s future, permeating almost all facets of our digital, and even physical, world. Yet, contrary to the relentless march of almost all other industries, the architecture, engineering and construction (AEC) industry have lagged behind in the uptake of ML for its own challenges. Through a systematic review of ML projects from a leading global engineering ﬁrm, this paper investigates social, political, economic, and cultural (SPEC) factors that have helped or hindered ML’s uptake. Further, the paper discusses how ML is perceived at various points in the economic hierarchy, how eﬀective forms of communication is vital in a highly-specialized workforce, and how ML’s unexpected eﬀectiveness have forced policy makers to reassess data governance and privacy; all the while considering what this means for the adoption of ML in the AEC industry. This investigation, its methodology, background research, systematic review, and its conclusion are presented.
keywords	Machine learning · Artiﬁcial intelligence · Research and development · Architecture, engineering, and construction industry · Social factors · Political factors · Economic factors · Cultural factors
series	CAAD Futures
type	normal paper
email
last changed	2019/07/29 14:17

_id	caadria2019_109
id	caadria2019_109
authors	Kim, Jinsung, Song, Jaeyeol and Lee, Jin-Kook
year	2019
title	Approach to Auto-recognition of Design Elements for the Intelligent Management of Interior Pictures
doi	https://doi.org/10.52842/conf.caadria.2019.2.785
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 785-794
summary	This paper explores automated recognition of elements in interior design pictures for an intelligent design reference management system. Precedent design references have a significant role to help architects, designer and even clients in general architecture design process. Pictures are one of the representation that could exactly show a kind of design idea and knowledge. Due to the velocity, variety and volume of reference pictures data with growth of references platform, it is hard and time-consuming to handle the data with current manual way. To solve this problem , this paper depicts a deep learning-based approach to figuring out design elements and recognizing the design feature of them on the interior pictures using faster-RCNN and CNN algorithms. The targets are the residential furniture such as a table and a seating. Through proposed application, input pictures can automatically have tagging data as follows; seating1(type: sofa, seating capacity: two-seaters, design style: classic)
keywords	Interior design picture; Design element; Design feature; Automated recognition; Design Reference management
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2019_326
id	caadria2019_326
authors	Lai, Po Yan, Kim, Meereh, Choi, Minkyu, Lee, Chae-Seok, Porcellini, Valentin, Yi, Taeha and Lee, Ji-Hyun
year	2019
title	Framework of Judgment System for Smart Home Assistant Utilizing Collective Intelligence Case-Based Reasoning
doi	https://doi.org/10.52842/conf.caadria.2019.1.695
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 695-704
summary	This paper proposes a framework of judgment system for smart home assistant that utilizes Collective Intelligence Case Based Reasoning (CI-CBR). CBR is suitable for the smart home environment with its system adaptability to the changeful user scenarios. However, existing CBR solutions have shown relatively low accuracy in service recommendation. This research therefore aims at enhancing the accuracy by introducing collective intelligence into the recommendation system. Assuming that multiple agents will make better decision than single agent, we adopted a multi-agent approach to generate the most similar case, which represents the optimal recommendation from the case base. This paper describes how our system enables agents adopting different similarity measures come to an agreement about the most similar case by the means of majority voting in the judging process. Our framework of a collective judgment system demonstrates its potentials to improve recommendation accuracy, and further enhance the performance of existing smart home assistants.
keywords	Collective Intelligence; Case Based Reasoning; Smart home; Service recommendation; Multi-agent system
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2019_362
id	caadria2019_362
authors	Lee, Jaejong, Ikeda, Yasushi and Hotta, Kensuke
year	2019
title	Comparative Evaluation of Viewing Elements by Visibility Heat Map of 3D Isovist - Urban planning experiment for Shinkiba in Tokyo Bay
doi	https://doi.org/10.52842/conf.caadria.2019.1.341
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 341-350
summary	This paper presents a visibility analysis for 3D urban environments and its possible applications for urban design. This multi-view visibility analysis tool was generated by 3D isovist in Grasshopper, Rhino. The advantage of this analysis tool is that it can be compared within the measurement area. In addition, setting a visual object different from the existing isovist. The visual object is a landmark of a city space, such as landscape or object. First, the application experimented on the relevance between the calculation time and precision by this analysis tool. Based on the results of this experiment, it applied it to an actual part of an urban space. The multi-view visibility includes confirming the possibility of a comprehensive evaluation on the urban redevelopment and change of the view caused by the building layout plan - by numerical analysis showing the visual characteristics of the area while using 3D isovist theory. The practically applied area is Shinkiba, which is a part of Tokyo's landfill site; and while using the calculated data, multi-view visibility of each plan in the simulation of the visibility map is compared and evaluated.
keywords	3D isovist; Multi-view visibility; Comprehensive integration visibility evaluation; Urban redevelopment; Algorithmic urban design
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	caadria2019_426
id	caadria2019_426
authors	Lee, Jisun and Lee, Hyunsoo
year	2019
title	Agent-driven Accessibility and Visibility Analysis in Nursing Units
doi	https://doi.org/10.52842/conf.caadria.2019.1.351
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 351-360
summary	This study investigates the nursing unit design for care quality and efficient operation, evaluating visibility and walking distance of nurses in the different form of layout. Sufficient visibility from nurses' station to patient rooms and corridors can increase nurses' care abilities to understand the needs and movements of patients. The workload and time caused by nurse's walking can be diverted to patient care. Isovist analysis and agent-based simulation are experimented to investigate the effects of spatial layout on visibility and nurses' accessibility to patients. In the isovist analysis, the nurses' station facing patient rooms were more effective in nurse-to-patient visibility. In the nurse's walking trail analysis, uneven walking distance of each nurse appeared due to the asymmetric patient room layout centering the nurses' station and heavy room allocation plan. Understanding the potential impacts of design parameters enables designers to predict possible behaviors in each design alternative and to make effective and efficient design decisions for the occupants. This study underlines the role of the physical environment in the delivery of patient care and nurse's well-being. It presents an evaluation framework integrating syntactic analysis and agent-based simulation to predict the effect of the spatial layouts on the hospital activities.
keywords	Nursing unit design; Isovists; Agent-based modeling; Accessibility; Visibility
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2019_535
id	caadria2019_535
authors	Song, Jaeyeol, Kim, Jinsung and Lee, Jin-Kook
year	2019
title	Converting KBimCode into an Executable Code for the Automated Design Rule Checking System
doi	https://doi.org/10.52842/conf.caadria.2019.1.795
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 795-804
summary	This research aims to describe an implementation approach for a translator of KBimCode as a part of a BIM-enabled automated design rule checking system. KBimCode is an explicit and computer-readable form written in a scripting language to represent Korea Building Act sentences. KBimCode separates the rule-making process that conventionally dependent on rule-checking software. Based on the approach, KBimCode implemented with its own logic rule components and has been managed with the database. On the other hand, there are several rule-checking software executed with their own rule set. Translating natural language rules into the rule set of each software and translating a rule of specific software into others require a lot of manual effort. The manual translation also hinders interoperability between rule checking software. We address the problem with developing the KBimCode translator for each rule checking software. In this research, we focused on translating KBimCode into an executable code of specific rule checking software, named KBimAssess. KBimCode translator will integrate the rule-making and rule-checking process, which means various stakeholders, even who are not familiar with programming, can easily conduct BIM-enabled rule checking by utilizing KBimCode. Furthermore, the implementation of KBimCode translator is expected to contribute to the enhancement of interoperability between various rule-checking applications.
keywords	Automated design rule checking; Building information modeling (BIM); Executable code; Language translator; KBimCode
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2019_187
id	caadria2019_187
authors	Tan, Ying Yi and Lee, Tat Lin
year	2019
title	Knit Preform Shaping - Design of Textile Preform and Edge-shaping mechanism for curved composite panel formation
doi	https://doi.org/10.52842/conf.caadria.2019.1.043
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 43-52
summary	This paper documents the development of our proposed fabrication strategy to manufacture doubly-curved Glass Fibre Reinforced Polymer (GFRP) cladding panels for facade components or internal walls. It uses a customised glass fibre knitted textile preform which is edge-shaped and sprayed with polyester resin to become a solidified composite panel. In this instance, we investigate the design of the textile preform and the development of an adjustable edge-shaping mechanism employed in this curved composite panel fabrication. We then test the shaping mechanism through the fabrication of several doubly-curved GFRP panels and compare their geometries to their respective digital models.
keywords	Textile Hybrid Systems; Knitted Textiles; Glass Fibre Preforms
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2019_045
id	caadria2019_045
authors	Zheng, Hao, Darweesh, Barrak, Lee, Heewon and Yang, Li
year	2019
title	Caterpillar - A Gcode translator in Grasshopper
doi	https://doi.org/10.52842/conf.caadria.2019.2.253
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 253-262
summary	Additive manufacturing has widely been spread in the digital fabrication and design fields, allowing designers to rapidly manufacture complex geometry. In the additive process of Fused Deposition Modelling (FDM), machine movements are provided in the form of Gcode - A language of spatial coordinates controlling the position of the 3D printing extruder. Slicing software use closed mesh models to create Gcode from planar contours of the imported mesh, which raises limitations in the geometry types accepted by slicing software as well as machine control freedom. This paper presents a framework that makes full use of three degrees of freedom of Computer Numerically Controlled (CNC) machines through the generation of Gcode in the Rhino and Grasshopper environment. Eliminating the need for slicing software, Gcode files are generated through user-defined toolpaths that allow for higher levels of control over the CNC machine and a wider range of possibilities for non-conventional 3D printing applications. Here, we present Caterpillar, a Grasshopper plug-in providing architects and designers with high degrees of customizability for additive manufacturing. Core codes are revealed, application examples of printing with user-defined toolpaths are shown.
keywords	3D Printing; Gcode; Grasshopper; Modelling; Simulation
series	CAADRIA
email
last changed	2022/06/07 07:57

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