Congiu Eleonora, Desogus Giuseppe, Quaquero Emanuela, Argiolas Raffaele, Di Pilla Lorenza, Frau Vittoria
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{"title":"BIM-based workflow for energy audits","authors":"Congiu Eleonora, Desogus Giuseppe, Quaquero Emanuela, Argiolas Raffaele, Di Pilla Lorenza, Frau Vittoria","doi":"10.35490/ec3.2022.199","DOIUrl":"https://doi.org/10.35490/ec3.2022.199","url":null,"abstract":",","PeriodicalId":142381,"journal":{"name":"Proceedings of the 2022 European Conference on Computing in Construction","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127543926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Khodabakhshian Ania, Rampini Luca, Re Cecconi Fulvio
{"title":"Data driven framework to select best retrofitting strategies","authors":"Khodabakhshian Ania, Rampini Luca, Re Cecconi Fulvio","doi":"10.35490/ec3.2022.190","DOIUrl":"https://doi.org/10.35490/ec3.2022.190","url":null,"abstract":"","PeriodicalId":142381,"journal":{"name":"Proceedings of the 2022 European Conference on Computing in Construction","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129384908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"ScaleBIM: Introducing a scalable modular framework to transfer point clouds into semantically rich building information models","authors":"Kaufmann Fabian, G. Christian, Tschickardt Thomas","doi":"10.35490/ec3.2022.194","DOIUrl":"https://doi.org/10.35490/ec3.2022.194","url":null,"abstract":"","PeriodicalId":142381,"journal":{"name":"Proceedings of the 2022 European Conference on Computing in Construction","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116669115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Paired electrodes- and contraint independent components analysis-based denoising to alleivate motion artifacts in electroencephalogram collected at construction sites","authors":"Lee Gaang, Bae Juhyeon, L. Sanghyun","doi":"10.35490/ec3.2022.186","DOIUrl":"https://doi.org/10.35490/ec3.2022.186","url":null,"abstract":"","PeriodicalId":142381,"journal":{"name":"Proceedings of the 2022 European Conference on Computing in Construction","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122819622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Burse Benjamin, Doycheva Kristina, Aicher Andreas, Walther Christian
{"title":"Evaluation of low-cost microcontroller-based electronic systems for simple sensor node applications","authors":"Burse Benjamin, Doycheva Kristina, Aicher Andreas, Walther Christian","doi":"10.35490/ec3.2022.191","DOIUrl":"https://doi.org/10.35490/ec3.2022.191","url":null,"abstract":"","PeriodicalId":142381,"journal":{"name":"Proceedings of the 2022 European Conference on Computing in Construction","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127740069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Moradi Mohammad Amin, Niazkar Navid, Dehmardan Alireza
{"title":"Blockchain, a transformation of new financing and management progress of megaprojects in the context of smart contracts with the usage of metaverse and oracle","authors":"Moradi Mohammad Amin, Niazkar Navid, Dehmardan Alireza","doi":"10.35490/ec3.2022.214","DOIUrl":"https://doi.org/10.35490/ec3.2022.214","url":null,"abstract":"","PeriodicalId":142381,"journal":{"name":"Proceedings of the 2022 European Conference on Computing in Construction","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132151771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Building information modelling (BIM) has not met the expectations of radically improved collaboration. As trust is a key enabler of collaboration, it is important to understand and address the trust issues in BIM-enabled collaboration for further improvement. Through a literature review on trust in psychology, economics, construction, and virtual collaboration, this paper enquires into the meaning and dimensions of trust. It is argued that the six dimensions of trust established in psychology and economics, the interrelationships between these dimensions, as well as the different units of analysis, need to be considered holistically for the study of trust in BIM-enabled collaboration.
{"title":"Towards a theoretical framework of trust in BIM-enabled collaboration","authors":"Xiao He, Broyd Tim, Çıdık Mustafa Selçuk","doi":"10.35490/ec3.2022.187","DOIUrl":"https://doi.org/10.35490/ec3.2022.187","url":null,"abstract":"Building information modelling (BIM) has not met the expectations of radically improved collaboration. As trust is a key enabler of collaboration, it is important to understand and address the trust issues in BIM-enabled collaboration for further improvement. Through a literature review on trust in psychology, economics, construction, and virtual collaboration, this paper enquires into the meaning and dimensions of trust. It is argued that the six dimensions of trust established in psychology and economics, the interrelationships between these dimensions, as well as the different units of analysis, need to be considered holistically for the study of trust in BIM-enabled collaboration.","PeriodicalId":142381,"journal":{"name":"Proceedings of the 2022 European Conference on Computing in Construction","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133537656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Locatelli Mirko, Pattini Giulia, Seghezzi Elena, Tagliabue Lavinia Chiara, Di Giuda Giuseppe Martino
{"title":"NLP-based system for automatic processing of quality demands in italian public procedure: a system engineering formalization","authors":"Locatelli Mirko, Pattini Giulia, Seghezzi Elena, Tagliabue Lavinia Chiara, Di Giuda Giuseppe Martino","doi":"10.35490/ec3.2022.176","DOIUrl":"https://doi.org/10.35490/ec3.2022.176","url":null,"abstract":"","PeriodicalId":142381,"journal":{"name":"Proceedings of the 2022 European Conference on Computing in Construction","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132579642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Before the building design is finalised, it needs to be checked against regulations. Traditionally, manual compliance checking is error-prone and time-consuming. As a solution, automatic compliance checking (ACC) was proposed. Many studies have focused on the crucial ACC rule interpretation process, yet no research has synthesised the themes and identified future research opportunities. This paper thus aims to fill this gap by conducting a systematic literature review and identifying challenges facing this field. Findings revealed that the representation development process lacks a methodological backdrop. Understandings of rules, representations, and relationships between them are insufficient. Potential solutions were proposed to address these challenges.
{"title":"Towards fully-automated code compliance checking of building regulations: challenges for rule interpretation and representation","authors":"Zijing Zhang, Ma Ling, Broyd Tim","doi":"10.35490/ec3.2022.148","DOIUrl":"https://doi.org/10.35490/ec3.2022.148","url":null,"abstract":"Before the building design is finalised, it needs to be checked against regulations. Traditionally, manual compliance checking is error-prone and time-consuming. As a solution, automatic compliance checking (ACC) was proposed. Many studies have focused on the crucial ACC rule interpretation process, yet no research has synthesised the themes and identified future research opportunities. This paper thus aims to fill this gap by conducting a systematic literature review and identifying challenges facing this field. Findings revealed that the representation development process lacks a methodological backdrop. Understandings of rules, representations, and relationships between them are insufficient. Potential solutions were proposed to address these challenges.","PeriodicalId":142381,"journal":{"name":"Proceedings of the 2022 European Conference on Computing in Construction","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124997431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Agrawal Dhruv, Lobsiger Janik, Bo Jessica Yi, Kaufmann Véronique, A. Iro
As-is building models are becoming increasingly common in the Architecture, Engineering, and Construction industry, with many stakeholders requesting this information throughout the lifecycle of a building. Devices equipped with RGB cameras and depth sensors being readily available simplifies the task of capturing and reconstructing an environment (scene) as a spatial 3D mesh or point cloud. However, the task of converting this purely geometric information to a semantically meaningful as-is building model is non-trivial. State-of-the-art practice follows a first step of acquiring the spatial 3D mesh on site and subsequently resorts in manual or assisted semantic labeling in the of-fice, where experts often have to work for many hours using non-intuitive and error-prone tools. To address this inef-ficiency, we develop HoloLabel , an Augmented Reality application on HoloLens that allows users to directly and on-site annotate a scene in 3D with rich semantic information while simultaneously capturing its spatial 3D mesh. Our tool follows a user-in-the-loop protocol to perform the task of 3D semantic segmentation, i.e., each face of the 3D mesh should be annotated with a semantic label. We leverage the HoloLens’s Spatial Mapping feature and build a 3D mesh of the scene while the user is walking around; at intervals, we apply an automatic geometry-based segmentation algorithm to generate segmentation proposals. The user then assigns predefined semantic labels to the proposals and – if necessary – uses a virtual paintbrush to refine the proposed segments or create new ones. Finally, the user has the option to add rich semantic descriptions (e.g., material, shape, or relationship to another object) to segments using voice-to-text technology. We aim to lay the groundwork to leverage upcoming mixed reality devices for intuitive synchronous as-is semantic building model generation directly in the real world.
{"title":"HoloLabel: Augmented reality user-in-the-loop online annotation tool for as-is building information","authors":"Agrawal Dhruv, Lobsiger Janik, Bo Jessica Yi, Kaufmann Véronique, A. Iro","doi":"10.35490/ec3.2022.174","DOIUrl":"https://doi.org/10.35490/ec3.2022.174","url":null,"abstract":"As-is building models are becoming increasingly common in the Architecture, Engineering, and Construction industry, with many stakeholders requesting this information throughout the lifecycle of a building. Devices equipped with RGB cameras and depth sensors being readily available simplifies the task of capturing and reconstructing an environment (scene) as a spatial 3D mesh or point cloud. However, the task of converting this purely geometric information to a semantically meaningful as-is building model is non-trivial. State-of-the-art practice follows a first step of acquiring the spatial 3D mesh on site and subsequently resorts in manual or assisted semantic labeling in the of-fice, where experts often have to work for many hours using non-intuitive and error-prone tools. To address this inef-ficiency, we develop HoloLabel , an Augmented Reality application on HoloLens that allows users to directly and on-site annotate a scene in 3D with rich semantic information while simultaneously capturing its spatial 3D mesh. Our tool follows a user-in-the-loop protocol to perform the task of 3D semantic segmentation, i.e., each face of the 3D mesh should be annotated with a semantic label. We leverage the HoloLens’s Spatial Mapping feature and build a 3D mesh of the scene while the user is walking around; at intervals, we apply an automatic geometry-based segmentation algorithm to generate segmentation proposals. The user then assigns predefined semantic labels to the proposals and – if necessary – uses a virtual paintbrush to refine the proposed segments or create new ones. Finally, the user has the option to add rich semantic descriptions (e.g., material, shape, or relationship to another object) to segments using voice-to-text technology. We aim to lay the groundwork to leverage upcoming mixed reality devices for intuitive synchronous as-is semantic building model generation directly in the real world.","PeriodicalId":142381,"journal":{"name":"Proceedings of the 2022 European Conference on Computing in Construction","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125376499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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