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

PDF papers
References

Hits 1 to 20 of 514

Reformat results as: short short into frame detailed detailed into frame

_id	ecaadesigradi2019_521
id	ecaadesigradi2019_521
authors	Millentrup, Viktoria, Ramsgaard Thomsen, Mette and Nicholas, Paul
year	2019
title	Actuated Textile Hybrids - Textile smocking for designing dynamic force equilibria in membrane structures
doi	https://doi.org/10.52842/conf.ecaade.2019.2.521
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 521-530
summary	This paper introduces Actuated Textile Hybrids, and describes the steps needed to steer the form finding processes necessary for their production. The method presented employs an integration of an "activated" instead of a pre-stressed textile membrane to design different stages of force equilibrium within the Hybrid Structure, and to investigate the potentials of ever flexible shaping of tensile elements. The set-up for the Textile Hybrid consists of three main elements which are digitally and physically analysed in their inextricable interdependence in force, form and material. Together, the bending active beam (rod), the textile membrane and an applied pattern which actively shrinks surface areas of the membrane (activation), create the base for the form finding process.With advanced Finite Element Modelling software and the architects resulting ability to engineer responsive building-systems for a dynamic environment, it is essential to rethink the construction methods and the building-material of the classic building envelope. This is to not only develop a smartly engineered sustainable skin but also a boundary object which, due to its adaptation, develops the potential to interconnect with its surrounding to re-establish the relationships between nature, home and inhabitant.
keywords	Textile Hybrid; Kiwi3D; Form-Finding; Material Studies; Structural System; Membrane Structure
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:58

_id	acadia19_50
id	acadia19_50
authors	Ibrahim, Nazim; Joyce, Sam Conrad
year	2019
title	User Directed Parametric Design for Option Exploration
doi	https://doi.org/10.52842/conf.acadia.2019.050
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 50-59
summary	The potential of parametric associative models to explore large ranges of different designs is limited by our ability to manually create and modify them. While computation has been successfully used to generate variations by optimizing input parameters, adding or changing ‘components’ and ‘links’ of these models has typically been manual and human driven. The intellectual overhead and challenges of manually creating and maintaining complex parametric models has limited their usefulness in early stages of design exploration, where a quicker and wider design search is preferred. Recent methods called Meta Parametric Design using Cartesian Genetic Programming (CGP) specifically tailored to operate on parametric models, allows computational generation and topological modification for parametric models. This paper proposes the refinement of Meta Parametric techniques to quickly generate and manipulate models with a higher level of control than existing; enabling a more natural human centric user-directed design exploration process. Opening new possibilities for the computer to act as a co-creator: able to generate its own novel solutions, steered at a high-level by user(s) and able to develop convergent or divergent solutions over an extended interaction session, replicating in a faster way a human design assistant.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:50

_id	caadria2022_74
id	caadria2022_74
authors	Mazza, Domenico, Kocaturk, Tuba and Kaljevic, Sofija
year	2022
title	Geelong Digital Outdoor Museum (GDOM) - Photogrammetry as the Surface for a Portable Museum
doi	https://doi.org/10.52842/conf.caadria.2022.1.677
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 677-686
summary	This paper presents the development and evaluation of the Geelong Digital Outdoor Museum (GDOM) prototype accessible at https://gdom.mindlab.cloud. GDOM is a portable museum‚our novel adaptation of the distributed museum model (Stuedahl & Lowe, 2013) which uses mobile devices to present museum collections attached to physical sites. Our prototype defines a way for intangible heritage associated with tangible landscapes to be accessible via personal digital devices using 360 3D scanned digital replicas of physical landscapes (photogrammetric digital models). Our work aligns with efforts set out in the UN Sustainable Development Goal 11 (SDG 11) to safeguard cultural and natural heritage, by openly disseminating the heritage of physical sites seamlessly through the landscape. Using a research by design methodology we delivered our prototype as a modular web-based platform that leveraged the Matterport digital model platform. We qualitatively evaluated the prototype's usability and future development opportunities with 32 front-end users and 13 potential stakeholders. We received a wide gamut of responses that included: users feeling empowered by the greater accessibility, users finding a welcome common ground with comparable physical experiences, and users and potential stakeholders seeing the potential to re-create physical world experiences with modifications to the digital model along with on-site activation. Our potential stakeholders suggested ways in which GDOM could be integrated into the arts, education, and tourism to widen its utility and applicability. In future we see design potential in breaking out of the static presentation of the digital model and expanding our portable museum experience to work on-site as a complement to the remote experience. However, we recognise the way in which on-site activation integrate into users' typical activities can be tangential (McGookin et al., 2019) and this would necessitate further investigation into how to best integrate the experience on-site.
keywords	Cultural Heritage, Intangible Heritage, Digital Heritage, Web Platform, 3D Scanning, Photogrammetry, Digital model, Portable Museum, Distributed Museum, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	acadia19_360
id	acadia19_360
authors	Dackiw, Jean-Nicolas Alois; Foltman, Andrzej; Garivani, Soroush; Kaseman, Keith; Sollazzo, Aldo
year	2019
title	Cyber-physical UAV Navigation and Operation
doi	https://doi.org/10.52842/conf.acadia.2019.360
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 360-367
summary	The purpose of this paper is to present a work in progress pertaining to drone pose estimation and flight calibration. This paper intends to underline the increasing importance of determining alternative path planning instruments through accurate localization for Unmanned Aerial Vehicles (UAVs) with the purpose of achieving complex flight operations for the emerging applications of autonomous robotics in surveying, design, fabrication, and on-site operations. This research is based on the implementation of novel technologies such as Augmented Reality (AR), Robot Operating System (ROS), and computational approaches to define a drone calibration methodology, leveraging existing methods for drone path planning. Drones are equipped with measurement systems to provide geo-location and time information such as onboard Global Positioning System (GPS) sensors, and Inertial Measurement Units (IMU). As stated in previous research, to increase navigation capabilities, measurements and data processing algorithms have a critical role (Daponte et al. 2015). The outcome of this work in progress showcases valuable results in calculating and assessing accurate positioning for UAVs, and developing data exchanges in transmission, reception, and tracking.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:56

_id	ecaadesigradi2019_665
id	ecaadesigradi2019_665
authors	Duque Estrada, Rebeca, Wyller, Maria and Dahy, Hanaa
year	2019
title	Aerochair - Integrative design methodologies for lightweight carbon fiber furniture design
doi	https://doi.org/10.52842/conf.ecaade.2019.1.691
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 1, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 691-700
summary	Carbon fiber composites embody lightweight and strength and is a well-integrated material in various fields of engineering. In spite of its excellent material properties, it is not frequently found in architecture and design applications. In this project, the intention is to research how the material's most prominent qualities can be applied to create a lightweight furniture design. The furniture object was chosen as an example of a small architectural component with a structural capacity of holding a human body weight between 60-90 Kg. In particular, carbon fiber composites display an impressive tensile strength, and with the aim of exploring this feature, a case-study of a full-scale, hanging carbon chair was conducted. To develop a design, optimize it and realize it, an integrated design and fabrication process was developed. It combined material research, computational design, and a novel fabrication method for filament materials.
keywords	carbon fiber composites; computational design; lightweight furniture; chair design; fiber winding
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:55

_id	cdrf2023_526
id	cdrf2023_526
authors	Eric Peterson, Bhavleen Kaur
year	2023
title	Printing Compound-Curved Sandwich Structures with Robotic Multi-Bias Additive Manufacturing
doi	https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_44
source	Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
summary	A research team at Florida International University Robotics and Digital Fabrication Lab has developed a novel method for 3d-printing curved open grid core sandwich structures using a thermoplastic extruder mounted on a robotic arm. This print-on-print additive manufacturing (AM) method relies on the 3d modeling software Rhinoceros and its parametric software plugin Grasshopper with Kuka-Parametric Robotic Control (Kuka-PRC) to convert NURBS surfaces into multi-bias additive manufacturing (MBAM) toolpaths. While several high-profile projects including the University of Stuttgart ICD/ITKE Research Pavilions 2014–15 and 2016–17, ETH-Digital Building Technologies project Levis Ergon Chair 2018, and 3D printed chair using Robotic Hybrid Manufacturing at Institute of Advanced Architecture of Catalonia (IAAC) 2019, have previously demonstrated the feasibility of 3d printing with either MBAM or sandwich structures, this method for printing Compound-Curved Sandwich Structures with Robotic MBAM combines these methods offering the possibility to significantly reduce the weight of spanning or cantilevered surfaces by incorporating the structural logic of open grid-core sandwiches with MBAM toolpath printing. Often built with fiber reinforced plastics (FRP), sandwich structures are a common solution for thin wall construction of compound curved surfaces that require a high strength-to-weight ratio with applications including aerospace, wind energy, marine, automotive, transportation infrastructure, architecture, furniture, and sports equipment manufacturing. Typical practices for producing sandwich structures are labor intensive, involving a multi-stage process including (1) the design and fabrication of a mould, (2) the application of a surface substrate such as FRP, (3) the manual application of a light-weight grid-core material, and (4) application of a second surface substrate to complete the sandwich. There are several shortcomings to this moulded manufacturing method that affect both the formal outcome and the manufacturing process: moulds are often costly and labor intensive to build, formal geometric freedom is limited by the minimum draft angles required for successful removal from the mould, and customization and refinement of product lines can be limited by the need for moulds. While the most common material for this construction method is FRP, our proof-of-concept experiments relied on low-cost thermoplastic using a specially configured pellet extruder. While the method proved feasible for small representative examples there remain significant challenges to the successful deployment of this manufacturing method at larger scales that can only be addressed with additional research. The digital workflow includes the following steps: (1) Create a 3D digital model of the base surface in Rhino, (2) Generate toolpaths for laminar printing in Grasshopper by converting surfaces into lists of oriented points, (3) Generate the structural grid-core using the same process, (4) Orient the robot to align in the direction of the substructure geometric planes, (5) Print the grid core using MBAM toolpaths, (6) Repeat step 1 and 2 for printing the outer surface with appropriate adjustments to the extruder orientation. During the design and printing process, we encountered several challenges including selecting geometry suitable for testing, extruder orientation, calibration of the hot end and extrusion/movement speeds, and deviation between the computer model and the physical object on the build platen. Physical models varied from their digital counterparts by several millimeters due to material deformation in the extrusion and cooling process. Real-time deviation verification studies will likely improve the workflow in future studies.
series	cdrf
email
last changed	2024/05/29 14:04

_id	acadia19_438
id	acadia19_438
authors	Jahn, Gwyllim; Wit, Andrew John; Pazzi, James
year	2019
title	[BENT]
doi	https://doi.org/10.52842/conf.acadia.2019.438
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 438-447
summary	Over the past two decades, advances in computation, digital fabrication, and robotics have opened up new avenues for the design and production of complex forms, emergent processes, as well as new levels of efficiency. Many of these methods, however, tend to focus on a specific tool, such as the industrial robotic arm. Due to their initial costs and space/power/safety requirements, difficulties associated in creating automated workflows and custom tooling, as well as the need for reliable/repeatable procedures, these tools are often out of reach for the average designer or design institution. Additionally, these tools are typically treated as methods of production rather than collaborators, leaving outcomes that can feel void of craft, with the appearance of a typical CNC-machined object. Rather than focusing on a specific production tool for manufacturing, this paper investigates a novel method for holographic handcraft-based production. This holographic augmentation—of simple and easily attainable analog tool sets—allows for the creation of extremely complex forms with high levels of precision in extremely short time frames. Through the lens of the recently completed steam-bent timber installation [BENT] produced at the Tyler School of Art, this paper discusses how Microsoft HoloLens in conjunction with the Fologram software plug-in can be integrated into the entirety of design and production processes as a means of producing a new typology of digital craft.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:52

_id	acadia20_142p
id	acadia20_142p
authors	Kilian, Axel
year	2020
title	The Flexing Room
source	ACADIA 2020: Distributed Proximities / Volume II: Projects [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95253-6]. Online and Global. 24-30 October 2020. edited by M. Yablonina, A. Marcus, S. Doyle, M. del Campo, V. Ago, B. Slocum. 142-147
summary	Robotics has been largely confined to the object category with fewer examples at the scale of buildings. Robotic buildings present unique challenges in communicating intent to the enclosed user. Precedent work in architectural robotics explored the performative dimension, the playful and interactive qualities, and the cognitive challenges of AI systems interacting with people in architecture. The Flexing Room robotic skeleton was installed at MIT at its full designed height for the first time and tested for two weeks in the summer of 2019. The approximately 13-foot-tall structure is comprised of 36 pneumatic actuators and an active bend fiberglass structure. The full height allowed for a wide range of postures the structure could take. Acoustic monitoring through Piezo pickup mics was added that allowed for basic rhythmic responses of the structure to people tapping or otherwise triggering the vibration sensors. Data streams were collected synchronously from Kinect skeleton tracking, piezo pickup mics, camera streams, and posture data. The emphasis in this test period was first to establish reliable hardware operations at full scale and second to record correlated data streams of the sensors installed in the structure together with the actuation triggers and the human poses of the inhabitant. The full-scale installation of hardware was successful and proved the feasibility of the structural and actuation approach previously tested on a one-level setup. The range of postures was increased and more transparent for the occupant. The perception of the structure as space was also improved as the system reached regular ceiling height and formed a clearer architectural scale enclosure. The ambition of communicating through architectural postures has not been achieved yet, but promising directions emerged from the test and data collection
series	ACADIA
type	project
email
last changed	2021/10/26 08:03

_id	cf2019_004
id	cf2019_004
authors	Kim, Jinsung; Jaeyeol Song and Jin-Kook Lee
year	2019
title	Recognizing and Classifying Unknown Object in BIM using 2D CNN
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 23
summary	This paper aims to propose an approach to automated classifying building element instance in BIM using deep learning-based 3D object classification algorithm. Recently, studies related to checking or validating engine of BIM object for ensuring data integrity of BIM instances are getting attention. As a part of this research, this paper train recognition models that are targeted at basic building element and interior element using 3D object recognition technique that uses images of objects as inputs. Object recognition is executed in two stages; 1) class of object (e.g. wall, window, seating furniture, toilet fixture and etc.), 2) sub-type of specific classes (e.g. Toilet or Urinal). Using the trained models, BIM plug-in prototype is developed and the performance of this AI-based approach with test BIM model is checked. We expect this recognition approach to help ensure the integrity of BIM data and contribute to the practical use of BIM.
keywords	3D object classification, Building element, Building information modeling, Data integrity, Interior element
series	CAAD Futures
email
last changed	2019/07/29 14:08

_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	ecaadesigradi2019_389
id	ecaadesigradi2019_389
authors	Mohite, Ashish, Kochneva, Mariia and Kotnik, Toni
year	2019
title	Speed of Deposition - Vehicle for structural and aesthetic expression in CAM
doi	https://doi.org/10.52842/conf.ecaade.2019.1.729
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 1, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 729-738
summary	This paper presents intermediate results of an experimental research directed towards development of a method that uses additive manufacturing technology as a generative agent in architectural design process. The primary technique is to variate speed of material deposition of a 3D printer in order to produce undetermined textural effects. These effects demonstrate local variation of material distribution, which is treated as a consequence of interaction between machining parameters and material properties. Current stage of inquiry is concerned with studying the impact of these textural artefacts on structure. Experiments demonstrate that manipulating distribution of matter locally results in more optimal structural performance, it solves printability issues of overhanging geometry without the need for additional supports and provides variation to the surface. The research suggests aesthetic and structural benefits of applying the developed method for mass-customized fabrication. It questions the linear thinking that is predominant in the field of 3D printing and provides an approach that articulates interaction between digital and material logics as it directs the formation of an object that is informed by both.
keywords	digital fabrication; digital craft; texture; ceramic 3D printing
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:58

_id	acadia19_352
id	acadia19_352
authors	Poustinchi, Ebrahim
year	2019
title	Robotically Augmented Imaging (RAI Alpha)
doi	https://doi.org/10.52842/conf.acadia.2019.352
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 352-359
summary	This paper presents a project-based research study in the design studio context, highlighting the use of robotic technology as a “perspective-machine” to create custom spatial readings/experiences through predetermined and controlled static/dynamic views. The early studies of this method—in this paper referred to as Robotically Augmented Imaging (RAI Alpha), enables architects, designers, and students to micro direct the “spatial experience” and atmospheric effects of the project through visual story-telling and in multiscale set-ups ranging from architectural to product and object scale. Demonstrating the contemporary opportunities of imaging and perspective—as an architectural tool to investigate/define the space—RAI Alpha studies the potentials of robotically controlled/manipulated views as a possible new medium for interacting with form, space, architecture, atmosphere, and performance in a scale-free seamless experience and as both a design tool and a product.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 08:00

_id	ecaade2023_259
id	ecaade2023_259
authors	Sonne-Frederiksen, Povl Filip, Larsen, Niels Martin and Buthke, Jan
year	2023
title	Point Cloud Segmentation for Building Reuse - Construction of digital twins in early phase building reuse projects
doi	https://doi.org/10.52842/conf.ecaade.2023.2.327
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 327–336
summary	Point cloud processing has come a long way in the past years. Advances in computer vision (CV) and machine learning (ML) have enabled its automated recognition and processing. However, few of those developments have made it through to the Architecture, Engineering and Construction (AEC) industry. Here, optimizing those workflows can reduce time spent on early-phase projects, which otherwise could be spent on developing innovative design solutions. Simplifying the processing of building point cloud scans makes it more accessible and therefore, usable for design, planning and decision-making. Furthermore, automated processing can also ensure that point clouds are processed consistently and accurately, reducing the potential for human error. This work is part of a larger effort to optimize early-phase design processes to promote the reuse of vacant buildings. It focuses on technical solutions to automate the reconstruction of point clouds into a digital twin as a simplified solid 3D element model. In this paper, various ML approaches, among others KPConv Thomas et al. (2019), ShapeConv Cao et al. (2021) and Mask-RCNN He et al. (2017), are compared in their ability to apply semantic as well as instance segmentation to point clouds. Further it relies on the S3DIS Armeni et al. (2017), NYU v2 Silberman et al. (2012) and Matterport Ramakrishnan et al. (2021) data sets for training. Here, the authors aim to establish a workflow that reduces the effort for users to process their point clouds and obtain object-based models. The findings of this research show that although pure point cloud-based ML models enable a greater degree of flexibility, they incur a high computational cost. We found, that using RGB-D images for classifications and segmentation simplifies the complexity of the ML model but leads to additional requirements for the data set. These can be mitigated in the initial process of capturing the building or by extracting the depth data from the point cloud.
keywords	Point Clouds, Machine Learning, Segmentation, Reuse, Digital Twins
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ecaadesigradi2019_171
id	ecaadesigradi2019_171
authors	Uzun, Can and Çolako?lu, Meryem Birgül
year	2019
title	Architectural Drawing Recognition - A case study for training the learning algorithm with architectural plan and section drawing images
doi	https://doi.org/10.52842/conf.ecaade.2019.2.029
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 29-34
summary	This paper aims to develop a case study for training an algorithm to recognize architectural drawings. In order to succeed that, the algorithm is trained with labeled pixel-based, architectural drawing (plan and section) dataset. During the training process, transfer learning (pre-training model) is applied. The supervised learning and convolutional neural network are utilized. After certain iterations, the algorithm builds awareness and can classify pixel-based plan and section drawings. When the algorithm is shown a section that is not produced with conventional drawing technic but through hybrid technics, it could predict the drawing class correctly with %80 of accuracy. On the other hand, some of the algorithm prediction is misoriented. We examined this prediction problem in the discussion section. The results illustrate that neural networks are successful in training algorithms to recognize and classify pixel-based architectural drawings. But for a highly accurate algorithm prediction, the dataset of the drawing images must be ordered, according to sample resolution, sample size and sample coherence for the dataset.
keywords	Classification Algorithm; Pixel-Based Architectural Drawing Recognition; Plan; Section
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:57

_id	ecaadesigradi2019_168
id	ecaadesigradi2019_168
authors	Varinlioglu, Guzden and Halici, Suheyla Muge
year	2019
title	Gamification of Heritage through Augmented Reality
doi	https://doi.org/10.52842/conf.ecaade.2019.1.513
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 1, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 513-518
summary	This paper focuses on a game on architectural heritage, possibilities for using gamification for conveying information through the reanimation of an ancient city. It proposes an immersive AR game involving the portrayal of cultural heritage through mobile devices. The game includes an AR application for Android devices which enabled rendering of 3D content in combination with camera input. This application is an independent game, tracking targets through GPS on a larger scale and using object recognition on a smaller scale. Our research aims to propose implementing game mechanics on an AR system at an archaeological site in order to increase visitors' interest, and promote the dissemination of cultural heritage.
keywords	digital heritage; model-based tracking; augmented reality; gamification; public archaeology
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:58

_id	ecaadesigradi2019_593
id	ecaadesigradi2019_593
authors	Vermillion, Joshua and de Salvatierra, Alberto
year	2019
title	Physical Computing, Prototyping, and Participatory Pedagogies - Make-a-thon as interdisciplinary catalyst for bottom-up social change
doi	https://doi.org/10.52842/conf.ecaade.2019.1.359
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 1, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 359-366
summary	This paper describes a recent make-a-thon event to engage architecture students with physical computing systems while working with engineering and entrepreneurship students. Focusing on the scale of the object or device, the pedagogical goals were to create a productive, transdisciplinary exchange--a pluralistic blend of design charrette, engineering hackathon, and entrepreneurial pitch competition. The Arduino platform and active learning methods were deployed in order to engage with a novice, diverse group of students, leading to outcomes that were responsive to the ever-shifting technological landscape and could be spun into future commercial ventures.
keywords	Physical Computing; Prototyping; Pedagogy
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:58

_id	ecaadesigradi2019_387
id	ecaadesigradi2019_387
authors	Wibranek, Bastian, Belousov, Boris, Sadybakasov, Alymbek, Peters, Jan and Tessmann, Oliver
year	2019
title	Interactive Structure - Robotic Repositioning of Vertical Elements in Man-Machine Collaborative Assembly through Vision-Based Tactile Sensing
doi	https://doi.org/10.52842/conf.ecaade.2019.2.705
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 705-713
summary	The research presented in this paper explores a novel tactile sensor technology for architectural assembly tasks. In order to enable robots to interact both with humans and building elements, several robot control strategies had to be implemented. Therefore, we developed a communication interface between the architectural design environment, a tactile sensor and robot controllers. In particular, by combining tactile feedback with real-time gripper and robot control algorithms, we demonstrate grasp adaptation, object shape and texture estimation, slip and contact detection, force and torque estimation. We investigated the integration of robotic control strategies for human-robot interaction and developed an assembly task in which the robot had to place vertical elements underneath a deformed slab. Finally, the proposed tactile feedback controllers and learned skills are combined together to demonstrate applicability and utility of tactile sensing in collaborative human-robot architectural assembly tasks. Users were able to hand over building elements to the robot or guide the robot through the interaction with building elements. Ultimately this research aims to offer the possibility for anyone to interact with built structures through robotic augmentation.
keywords	Interactive Structure; Robotics; Tactile Sensing; Man-Machine Collaboration
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:57

_id	ecaadesigradi2019_538
id	ecaadesigradi2019_538
authors	Wu, Ngai Hang, Dimopoulou, Marina, Hsieh, Han Hsun and Chatzakis, Christos
year	2019
title	Rawbot - A digital system for AR fabrication of bamboo structures through the discrete digitization of bamboo
doi	https://doi.org/10.52842/conf.ecaade.2019.2.161
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 161-170
summary	This paper presents the developments of a method to assemble bamboo poles through mobile algorithmic instructions, based on material analysis, machine learning procedures and applied augmented reality. The methods were evaluated in a series of tests where the trained system was successfully used to propose structurally sound aggregations, according to the given resources. The results suggest potential benefits for completion of house-scale assemblies by untrained users through automated tools.
keywords	Machine Learning; Object Recognition; Augmented Reality; Digital Fabrication; Discrete Digitization; Bamboo
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:57

_id	acadia19_000
id	acadia19_000
year	2019
title	ACADIA 19:UBIQUITY AND AUTONOMY
doi	https://doi.org/10.52842/conf.acadia.2019
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) 702 p.
series	ACADIA
last changed	2022/06/07 07:49

_id	cf2019_052
id	cf2019_052
authors	Abdelmohsen, Sherif ;Passaint Massoud, Rana El-Dabaa, Aly Ibrahim and Tasbeh Mokbel
year	2019
title	The Effect of Hygroscopic Design Parameters on the Programmability of Laminated Wood Composites for Adaptive Façades
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 435
summary	Typical adaptive façades respond to external conditions to enhance indoor spaces based on complex mechanical actuators and programmable functions. Hygroscopic embedded properties of wood, as low-cost low-tech programmable material, have been utilized to induce passive motion mechanisms. Wood as anisotropic material allows for different passive programmable motion configurations that relies on several hygroscopic design parameters. This paper explores the effect of these parameters on programmability of laminated wood composites through physical experiments in controlled humidity environment. The paper studies variety of laminated configurations involving different grain orientations, and their effect on maximum angle of deflection and its durability. Angle of deflection is measured using image analysis software that is used for continuous tracking of deflection in relation to time. Durability is studied as the number of complete programmable cycles that wood could withstand before reaching point of failure. Results revealed that samples with highest deflection angle have least programmability durability.
keywords	Wood, hygroscopic design, lamination, deflection, durability, adaptive façades
series	CAAD Futures
email
last changed	2019/07/29 14:18

For more results click below: