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 658

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

_id	ijac202220407
id	ijac202220407
authors	Lacroix, Igor; Orkan Zeynel Güzelci; Gonçalo Furtado Lopes; José Pedro Sousa
year	2022
title	Connecting the Portuguese system of evolutive housing with building information modeling: From analogical to digital methods
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 4, pp. 801–816
summary	In Portugal, in the 1960s and 1970s, there was research concerning a system of the architectural design of housing for economically less favored populations, which related sociological information with analogical computational methods and culminated with its application in the Local Ambulatory Support Service (SAAL). This article presents the digitization process of these methods for the development of an architectural design system for social housing. The main goal is to improve methodological procedures for the original research and, specifically, to adapt them to computational design and modeling processes. To this end, this research transposed the aforementioned methodology into an algorithmic model that matches sociological information acquired from an online form with a database of social housing floor plan images to generate a building information modeling (BIM) directly from the selected image source. The result is an algorithmic model informed by sociological data linked with a BIM model to enable further rationalization of architectural design.
keywords	evolutive housing, social housing, local ambulatory support service, sociological survey, algorithmic modeling, building information modeling
series	journal
last changed	2024/04/17 14:30

_id	ascaad2022_087
id	ascaad2022_087
authors	Mallasi, Zaki
year	2022
title	A Pixels-Based Design Approach for Parametric Thinking in Patterning Dynamic Facades
source	Hybrid Spaces of the Metaverse - Architecture in the Age of the Metaverse: Opportunities and Potentials [10th ASCAAD Conference Proceedings] Debbieh (Lebanon) [Virtual Conference] 12-13 October 2022, pp. 654-673
summary	In today’s Architectural design process, there has been considerable advancements in design computation tools that empowers designer to explore and configure the building façades schemes. However, one could formally argue that some processes are prescribed, lacks automation and are only for the purpose of visualizing the aesthetic design concepts. As a result, these design concept explorations are driven manually to exhibit variations between schemes. To overcome such limitations, the development presented here describes a proactive approach to incorporate parametric design thinking process and Building Information Modeling (BIM). This paper reports on an ongoing development in computational design and its potential application in exploring an interactive façade pattern. The objective is to present the developed approach for exploring façade patterns that responds parametrically to design-performance attractors. Examples of these attractors are solar exposure, interior privacy importance, and aesthetics. It introduces a paradigm-shift in the development of design tools and theory of parameterization in architecture. This work utilizes programming script to manipulate the logic behind placement of faced panels. The placement and sizes for the building facade 3D parametric panels react to variety of Analytical Image Data (AID) as a source for the design-performance data (e.g.: solar exposure, interior privacy importance, and aesthetics). Accordingly, this research developed the PatternGen(c) add-on in Autodesk ® Revit that utilizes a merge (or an overlay) of AID images as a source to dynamically pattern the building façade and generate the facade panels arrangement rules panels on the building exterior. This work concludes by a project case study assessment, that the methodology of applying AID would be an effective dynamic approach to patterning façades. A case-study design project is presented to show the use of the AID pixel-gradient range from Red, Green and Blue as information source value. In light of the general objectives in this study, this work highlights how future designers may shift to a hybrid design process.
series	ASCAAD
email
last changed	2024/02/16 13:29

_id	acadia22_598
id	acadia22_598
authors	Shen, Yang-Ting; Wang, Mi-Chi; Huang, Lien-Kai; Gao, You-Min; Yen, Chia-Chin
year	2022
title	The Reproduction of Chinese Traditional Timber Structure
source	ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 598-603.
summary	In Chinese traditional timber building, “Dou-gong” stands as one of the most distinctive features to present the Chinese structure style. However, the preservation and reproduction of Dou-gong face difficulties due to the withering craftsman issue. This paper proposes a method to digitize the structure into BIM (building information modeling) and reproduce it via robot-based fabrication. By modeling these Dou-gong components with BIM technologies, we can establish a geometrical and non-geometrical 3D database. Then we use Autodesk Fusion and Grasshopper to design the robotic fabrication information whose information is transferred from 3D database models. Based on the fabrication information, including work paths and tool parameters, the KUKA robotic arm with six axes can precisely mill the wood materials into Dou-gong components without any traditional craftsman’s processing.
series	ACADIA
type	paper
email
last changed	2024/02/06 14:04

_id	ecaade2022_292
id	ecaade2022_292
authors	Baudoux, Gaelle, Calixte, Xaviera and Leclercq, Pierre
year	2022
title	Transition between Architectural Ideation and BIM - Towards a new method through semantic building modeling
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 357–366
doi	https://doi.org/10.52842/conf.ecaade.2022.2.357
summary	Faced with the challenges of the actors' coordination regarding the increasing building complexity, the new digital collective approaches of advanced design raise the problem of the transition between collaborative ideation (first creative moments of deployment of ideas) and the following phases of digital production (including the formalisation of building specifications in BIM models). In response, we aim to develop a digitally instrumented method for moving from conventional architectural graphic documents to the 3D digital models characteristic of BIM. We propose here a detailed formalisation of the ideation-BIM transition problem and a method for managing building information to improve this transition.
keywords	Building Information Modeling, Architectural Ideation, Digital Representation, Media Architecture, Semantic Model
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ecaade2022_285
id	ecaade2022_285
authors	Brasil, Alexander and Martinez, Andressa
year	2022
title	Potential for Social Housing Mass Customization in Brazil through the Integration between BIM and Algorithmic-Parametric Modeling
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 347–356
doi	https://doi.org/10.52842/conf.ecaade.2022.2.347
summary	This paper presents a design system for low-cost production of mass customized housing units, in the context of the city of Teresina, in Piaui State, Brazil. The platform stands for the integration between Building Information Modeling (BIM) and algorithmic parametric modeling systems. The research aims to verify the potential of this integration to enable the mass customization of social housing during the design process through the automation of design solutions and real-time visualization of construction data, such as building schedule and estimation of the final cost. The results demonstrated that real-time manipulation and visualization of data related to construction, using specific algorithmic- parametric routines, is capable of aiding designers in developing a solution that matches specific demands with cost and scheduling estimation control in a short period of time.
keywords	Housing, Mass customization, Algorithmic-Parametric Modeling, BIM
series	eCAADe
email
last changed	2024/04/22 07:10

_id	sigradi2022_32
id	sigradi2022_32
authors	Brasil, Alexander; Martinez, Andressa
year	2022
title	Social Housing Mass Customization: Description of a system for real-time cost and spatial generation
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 53–64
summary	This study explores mass customization as an alternative strategy for social housing provision. The paper aims to demonstrate the implementation of an integrated system based on the connection between Building Information Modeling and algorithmic-parametric modeling technologies, seeking to design variability with real-time cost and time data control of single-family housing units. We developed the study according to five phases: (1) context analysis and design language definition; (2) rule-based design system definition; (3) cost and execution time estimation; (4) computer system based on the specified technologies definition; (5) quantitative evaluation and qualitative evaluation of the system. The experiment demonstrates that with the aid of algorithmic-parametric modeling, building information manipulation and visualization can be responsive enough to meet mass demands.
keywords	Data analytics, Mass customization, Social Housing, BIM, Cost control
series	SIGraDi
email
last changed	2023/05/16 16:55

_id	ascaad2022_065
id	ascaad2022_065
authors	David, Joao; Leitao, Antonio
year	2022
title	Getting a Handle on Floor Plan Analysis: Door Classification in Floor Plans and a Survey on Existing Datasets
source	Hybrid Spaces of the Metaverse - Architecture in the Age of the Metaverse: Opportunities and Potentials [10th ASCAAD Conference Proceedings] Debbieh (Lebanon) [Virtual Conference] 12-13 October 2022, pp. 221-236
summary	Floor plan interpretation and reconstruction is crucial to enable the transformation of drawings to 3D models or different digital formats. It has recently taken advantage of neural-based architectures, especially in the semantic segmentation field. These techniques perform better than traditional methods, but the results depend mainly on the data used to train the networks, which is often crafted for the specific task being performed, making it hard to reuse for different purposes. In this paper, we conduct a literature survey on the existing datasets for floor plan analysis, and we explore how information regarding door placement and orientation can be recovered without having to change the initial data or model. We propose a two-step recognition method based on image segmentation followed by classification of cropped zones to allow data augmentation during training. In the process, we generate a dataset consisting of 35000 annotated door images extracted from an existing dataset.
series	ASCAAD
email
last changed	2024/02/16 13:29

_id	sigradi2022_143
id	sigradi2022_143
authors	Griz, Cristiana; Andrade, Max; Mendes, Leticia; Neri, Emmanoel; Vidal, Edwin
year	2022
title	BIM Adoption in an Architecture and Urbanism course: analysis of the degree of maturity
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 799–810
summary	This article aims to assess the degree of maturity of Building Information Modeling (BIM) in an Architecture and Urbanism course, identifying points of improvement and benefits, directing actions for a potential BIM implementation. The evaluation methodology investigates about Policies, Processes and Technologies of the architectural graduation course. The collection of information was done through questionnaires applied to the teaching staff. As results, it shows that BIM maturity,s level of the Institution in this course is in the ‘Defined’ level, however there are heterogeneous performances in relation to the evaluated points. It is also noticed that this result is due to the actions of a minority of teachers, not reflecting the institutionalized maturity of the entire course. On the other hand, this result indicates that efforts towards BIM adoption will start from initiatives already underway, in an environment relatively prepared for a planned insertion.
keywords	BIM Adoption, BIM teaching, BIM maturity, BIM execution plan, Architecture and urbanism course
series	SIGraDi
email
last changed	2023/05/16 16:57

_id	ijac202220215
id	ijac202220215
authors	Gámez Bohórquez, Oscar; William Derigent; Hind Bril El-Haouzi
year	2022
title	Parametric point-cloud slicing for facade retrofitting
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 2, pp. 434–452
summary	This work presents a method for retrieving 3D building contours usable in facade retrofitting projects, which uses a parametric modeling workflow that utilizes a point-cloud slicing method to retrieve such 3D contours. Since current commitments by European governments seek to reduce energy consumption as a means to reduce carbon emissions from building stock by 2050, facade retrofitting appears as an alternative for addressing operational and embedded building emissions. Within such a context, the main contribution of this work consists of a workflow and a 3D reconstruction solution that uses a parametric environment for capturing building topology and bypassing ground-level occlusions. A real case study and a strategy for converting 3D building contours into Industry Foundation Classes entities, directly from the parametric modeling environment, served as a scenario for testing the capabilities of a Grasshopper solution and open new perspectives for this approach.
keywords	Facade retrofitting, scan to building information modeling, parametric modeling, terrestrial laser scanning, building lifecycle
series	journal
last changed	2024/04/17 14:29

_id	sigradi2022_191
id	sigradi2022_191
authors	Hemmerling, Marco
year	2022
title	INTERCOM 2.0 – A web-based platform for collaborative design processes
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 823–832
summary	Next to the advantages of consistent 3D planning, the Building Information Modeling (BIM) method also places new demands on the actors and thus primarily causes a change in the way of working. Against this background the paper discusses the development of the web-based BIM platform INTERCOM for collaborative planning processes in academia and AEC that enables monitoring, processing and assessment in a location and time independent environment. In addition to the technical advantages, a deeper, active and flexible discussion is intended to be created, involving all project partners. As such, INTERCOM is based on the openBIM idea and provides open access for all participants with a high degree of networking for solving complex planning tasks. The research showcases a further development of a previously implemented prototype and discusses the findings from the first academic projects, focussing on the collaborative workflow and the decision making throughout the design process.
keywords	Building Information Modeling (BIM), Collabroative Design Process, Common Data Environment (CDE), Architecture Curriculum
series	SIGraDi
email
last changed	2023/05/16 16:57

_id	ijac202220216
id	ijac202220216
authors	Keyvanfar, Ali; Arezou Shafaghat; Muhamad SF Rosley
year	2022
title	Performance comparison analysis of 3D reconstruction modeling software in construction site visualization and mapping
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 2, pp. 453–475
summary	Unmanned aerial vehicle (UAV) technology has overcome the limitations of conventional construction management methods using advanced and automated visualization and 3D reconstruction modeling techniques. Although the mapping techniques and reconstruction modeling software can generate real-time and high-resolution descriptive textural, physical, and spatial data, they may fail to develop an accurate and complete 3D model of the construction site. To generate a quality 3D reconstruction model, the construction manager must optimize the trade-offs among three major software-selection factors: functionalities, technical capabilities, and the system hardware specifications. These factors directly affect the robust 3D reconstruction model of the construction site and objects. Accordingly, the purpose of this research was to apply nine well-established 3D reconstruction modeling software tools (DroneDeploy, COLMAP, 3DF+Zephyr, Autodesk Recap, LiMapper, PhotoModeler, 3D Survey, AgiSoft Photoscan, and Pix4D Mapper) and compare their performances and reliabilities in generating complete 3D models. The research was conducted in an eco-home building at the University of Technology, Malaysia. A series of regression analyses were conducted to compare the performances of the selected 3D reconstruction modeling software in alignment and registration, distance computing, geometric measurement, and plugin execution. Regression analysis determined that among the software programs, LiMapper had the strongest positive linear correlation with the ground truth model. Furthermore, the correlation analysis showed a statistically significant p-value for all software, except for 3D Survey. In addition, the research found that Autodesk Recap generated the most-robust and highest-quality dense point clouds. DroneDeploy can create an accurate point cloud and triangulation without using many points as required by COLMAP and LiMapper. It was concluded that most of the software is robustly, positively, and linearly correlated with the corresponding ground truth model. In the future, other factors involving software selection should be studied, such as vendor-related, user-related, and automation factors.
keywords	Construction site visualization, unmanned aerial vehicle, photogrammetry, 3D reconstruction modeling, multi-view-stereopsis, structure-from-motion, ANOVA and regression analysis
series	journal
last changed	2024/04/17 14:29

_id	ascaad2022_064
id	ascaad2022_064
authors	Li, Chao; Petzold, Frank
year	2022
title	Towards Informed Design Decision Support of Additive Manufacturing in Construction: The Use of Integrated Knowledge in BIM-based Architectural Design
source	Hybrid Spaces of the Metaverse - Architecture in the Age of the Metaverse: Opportunities and Potentials [10th ASCAAD Conference Proceedings] Debbieh (Lebanon) [Virtual Conference] 12-13 October 2022, pp. 237-252
summary	Additive Manufacturing (AM) technologies have great potential to promote sustainable development in the architecture, engineering, and construction (AEC) domain. But the inherent complexity of AM and lack of domain knowledge hinder decisions about appropriate construction methods. With state-of-the-art Semantic Web technologies, a knowledge base regarding AM technologies can be formalized and integrated into the Building Information Modeling (BIM) methodology. To this end, this paper demonstrates how a Design Decision Support System (DDSS) utilizes formal knowledge to assist architects in choosing the appropriate AM method by assessing the manufacturability of individual building components. By following and refining the essential activities described, we aim to provide architects with informed decision support, thus facilitating the versatile use of AM technologies in the AEC domain.
series	ASCAAD
email
last changed	2024/02/16 13:29

_id	caadria2022_394
id	caadria2022_394
authors	Li, Yuanyuan, Huang, Chenyu, Zhang, Gengjia and Yao, Jiawei
year	2022
title	Machine Learning Modeling and Genetic Optimization of Adaptive Building Facade Towards the Light Environment
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. 141-150
doi	https://doi.org/10.52842/conf.caadria.2022.1.141
summary	For adaptive facades, the dynamic integration of architectural and environmental information is essential but complex, especially for the performance of indoor light environments. This research proposes a new approach that combines computer-aided design methods and machine learning to enhance the efficiency of this process. The first step is to clarify the design factors of adaptive facade, exploring how parameterized typology models perform in simulation. Then interpretable machine learning is used to explain the contribution of adaptive facade parameters to light criteria (DLA, UDI, DGP) and build prediction models for light simulation. Finally, Wallacei X is used for multi-objective optimization, determines the optimal skin options under the corresponding light environment, and establishes the optimal operation model of the adaptive facades against changes in the light environment. This paper provides a reference for designers to decouple the influence of various factors of adaptive facades on the indoor light environment in the early design stage and carry out more efficient adaptive facades design driven by environmental performance.
keywords	Adaptive Facades, Light Environment, Machine learning, Light Simulation, Genetic Algorithm, SDG 3, SDG 12
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ijac202220406
id	ijac202220406
authors	Pibal, Sophia S.; Konstantin Khoss; Iva Kovacic
year	2022
title	Framework of an algorithm-aided BIM approach for modular residential building information models
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 4, pp. 777–800
summary	The digital transformation of the construction industry and the lack of integration of digital technologies in design and construction processes are the motivation for this research. BIM solutions enable new levels of design processes and provide platforms for computational design and novel approaches in the AEC industry. In computational design parametric, generative or algorithmic procedures are utilized to support, optimize, or replace manual processes. The combination of BIM and generative, parametric or algorithmic design forms a hybrid that aims to combine the advantages of both concepts and allows for generative design processes with the creation of BIM objects containing metadata. Along with the digital transformation and novel approaches in the AEC industry, modular construction aims to shift from mass production to mass customization and maximize opportunities for cost-effective, economical, and sustainable buildings. This paper addresses the approach of generating building information models using algorithm-aided design combined with BIM at an early design stage for modular multi-story residential buildings that are affordable and sustainable. In this study, we present the framework of an algorithm-aided BIM approach, from the concept of the generative algorithm to the evaluation approach and the proof of concept as the test of the framework
keywords	Building information modeling, algorithm-aided design, algorithm-aided building information modeling, modular construction, mass customization
series	journal
last changed	2024/04/17 14:30

_id	ecaade2022_346
id	ecaade2022_346
authors	Sartorius, Marie P. and von Both, Petra
year	2022
title	Rule-Based Design for the Integration of Humanoid Assistance Robotics into the Living Environment of Senior Citizens
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 367–376
doi	https://doi.org/10.52842/conf.ecaade.2022.2.367
summary	The following paper deals with the hypothesis that in a few years, the everyday lives of seniors and those in need of care will be considerably facilitated by using humanoid assistance robots to improve and prolong their independent lives. The interdisciplinary research project JuBOT of the Karl-Zeiss Foundation deals with developing and applying AI-supported humanoid robots in seniors living spaces. In the research area of architecture, several questions arise in the sense of co-design: Which requirements and design rules can be derived and generalised to develop suitable typologies? And how can these requirements of robotics and buildings be integrated into a digital design process? In this matter, a master thesis identified and categorised areas of action for the assistance robot through a user- and function-based analysis process. Afterwards, a proposal for a generalisable typology for residential modules has been developed, applied, and evaluated. In addition to gaining architectural knowledge, the JuBOT project is also about implementing a suitable digital design process. Thus, the identified planning requirements must be implemented in a BIM-based checking process (ModelCheck).
keywords	Senior Residence, Accessibility, Care Concept, Living Concept, Architectural Psychology, Assistant Robot, BIM, Building Information Modeling, ModelCheck
series	eCAADe
email
last changed	2024/04/22 07:10

_id	cdrf2022_78
id	cdrf2022_78
authors	Sharif Anouar, Adam Anouar, and Ayoub Lharchi
title	Heritage Information Modeling: The Case of Chellah’s Gate
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_7
summary	This paper aims to propose an integrated workflow for the digitization of the built cultural heritage. To this end, we leverage the power of computational tools and the relevancy of Building Information Modeling (BIM) process to overcome the limitations and challenges faced by Scan-to-BIM. We describe the automatic generation of an as-built BIM model of a heritage building in a three-step procedure. Firstly, we outline the data acquisition method of the point cloud. Secondly, we describe the automatic processing and segmentation of the point cloud according to architectural elements using Machine Learning. Then, we tested and compared various meshing algorithms and utilized a combination depending on the desired level of details. Lastly, the resulting geometry is converted into a BIM object that will be subsequently semantically labeled. We used a UNESCO world heritage in Morocco—Chellah, as a case study to test the robustness of our protocol.
email
last changed	2024/05/29 14:02

_id	ecaade2022_73
id	ecaade2022_73
authors	Varinlioglu, Guzden, Oguz, Kaya, Turkmen, Doruk, Ercan, Irem and Turhan, Gozde Damla
year	2022
title	Work of Art in the Age of Metaverse - Exploring digital art through augmented reality
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 447–456
doi	https://doi.org/10.52842/conf.ecaade.2022.2.447
summary	The creation of artworks in the metaverse as unique files that exist on a blockchain world of the non-fungible tokens (NFTs) have revitalized discussions over the uniqueness of a work of art. Similar to the art world market in Second Life, this has presented a novel way to collect imported or natively digital art. This raises the following questions: What are the processes that artwork undergoes in the web 3.0 or metaverse? What constitutes the reproduction/recreation of a work of art? Which tools can be exploited to create more content for this universe? How does this new approach affect ownership, scarcity and authenticity? Unlike art productions that find a place in museums or galleries, Daragaç Art Collective independently uses the streets both as their location, and as their canvas. This creates the need to store the artworks as fully as possible in any form available. With this aim, a team of architects, designers and software engineers designed, implemented and tested a mobile application to represent and recreate the experience of the artworks in the digital environment. The artworks of independent artists were collected virtually and compiled in a relational database over the years, and are displayed in their geographical coordinates, and represented in the 3D world. After discussion on how to represent the artworks, it was decided that some only exist in videos and photographs, therefore, we decided to use the archaeology of digital data and present them in 3D space, to ensure their continued existence once they had been performed or exhibited. Illustrated by the case of our augmented application, this paper discusses the reproduction of ownership and scarcity of artworks in terms of preserving a cultural heritage in the metaverse.
keywords	Augmented Reality, Artwork, Metaverse, Digital Heritage, Photogrammetric Modeling, Scarcity
series	eCAADe
email
last changed	2024/04/22 07:10

_id	sigradi2022_67
id	sigradi2022_67
authors	Vieira Teles, Amanda Régia; Monteiro Xavier de Lima, Mariana
year	2022
title	The development of a BIM Execution Plan for contracting public work projects
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 777–786
summary	Building Information Modeling (BIM) is the current expression of innovation in the construction industry, a set of technologies, processes and policies that affect the deliveries, the relationships, and the roles of the civil construction industry. In Brazil, BIM is still scarce, especially in the public sector. Due to this problem, this study aims to elaborate a BIM Execution Plan for public works project contracts. The focus of this study is a public institution in the state of Ceará. For the development of this study, we adopted the Design Science Research method. As a result, we obtained a BIM Execution Plan that served as a foundation for the elaboration of BIM projects in the public institution in question. Therefore, this study contributes to the reduction of the main errors in BIM project contracting and, as a result, to the dissemination of BIM in the state of Ceará.
keywords	BIM Adoption, ISO 19650, BIM execution plan, BIM implementation, Public sector
series	SIGraDi
email
last changed	2023/05/16 16:57

_id	ecaade2022_265
id	ecaade2022_265
authors	Won, Junghye, Kim, Taehoon, Yu, Jinhyeon and Choo, Seungyeon
year	2022
title	Development of the IFC Schema Extension Methodology for Integrated BIM
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 339–346
doi	https://doi.org/10.52842/conf.ecaade.2022.2.339
summary	Although increasingly more projects and industries use Building Information Modeling (BIM) worldwide, the application of BIM is difficult and limited due to problems related to information exchange and interoperability. Accordingly, a neutral format called Industry Foundation Classes (IFC) was developed to enable information exchange between fields. However, it still has a gap with objects in various fields due to the nature of IFC structure. This study, therefore, presents an IFC Schema extension methodology applicable in each field by analyzing various cases and expanding the Entity so that the integrated BIM can be utilized. The case of extending Entity for the generation and extension of the current IFC Schema was analyzed. Through WBS analysis and specific establishment, the common point of extending Entity matched to IFC Schema was found. In addition, a methodology to extend Entity by matching with IFC Schema stage and general matching structure system were derived. This study is significant in that it can promote collaboration between the architecture field and other fields based on BIM through this methodology and matching structure system. The efficiency of using BIM is expected to be maximized.
keywords	IFC, BIM, WBS, Methodology, Schema, Entity
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ascaad2022_037
id	ascaad2022_037
authors	Affara, Lama; Nakhal, Bilal
year	2022
title	Computer Vision Aided Hotspot Creation in Virtual Environments
source	Hybrid Spaces of the Metaverse - Architecture in the Age of the Metaverse: Opportunities and Potentials [10th ASCAAD Conference Proceedings] Debbieh (Lebanon) [Virtual Conference] 12-13 October 2022, pp. 61-73
summary	Hotspot creation is one of the most important modules within virtual environments which helps show the navigators of these environments some information about semantic elements within it and facilitate the navigation between the virtual spaces. In this paper, a system for automatic hotspot proposals and creation in virtual environments is proposed. The system uses computer vision modules to automatically propose hotspot locations in addition to identifying and creating these hotspots with candidate labels. Two main modules used in the system are object detection and scene segmentation. The scene segmentation helps give candidate hotspot areas and provides an overall understanding of the semantics of the virtual environment. The object detection module also uses pretrained deep networks for automatic hotspot creation over these objects. The system helps speed up the hotspot creation process and offers a tool for virtual environment users and creators.
series	ASCAAD
email
last changed	2024/02/16 13:24

For more results click below: