Automation in Construction - mai 2020

Publié:	mai 2020

Articles dans ce numéro

Auteur(s)	Titre	Page(s)
Böke, Jens / Knaack, Ulrich / Hemmerling, Marco	Automated adaptive façade functions in practice - Case studies on office buildings	103113
Czerniawski, Thomas / Leite, Fernanda	Automated digital modeling of existing buildings: A review of visual object recognition methods	103131
Upasani, Nitant / Shekhawat, Krishnendra / Sachdeva, Garv	Automated generation of dimensioned rectangular floorplans	103149
Khosakitchalert, Chavanont / Yabuki, Nobuyoshi / Fukuda, Tomohiro	Automated modification of compound elements for accurate BIM-based quantity takeoff	103142
Mo, Yunjeong / Zhao, Dong / Du, Jing / Syal, Matt / Aziz, Azizan / Li, Heng	Automated staff assignment for building maintenance using natural language processing	103150
Zhang, Jun / Yang, Xing / Li, Weiguang / Zhang, Shaobo / Jia, Yunyi	Automatic detection of moisture damages in asphalt pavements from GPR data with deep CNN and IRS method	103119
Doukari, Omar / Greenwood, David	Automatic generation of building information models from digitized plans	103129
Yin, Mengtian / Tang, Llewellyn / Zhou, Tongyu / Wen, Ya / Xu, Ruohan / Deng, Wu	Automatic layer classification method-based elevation recognition in architectural drawings for reconstruction of 3D BIM models	103082
Alshaiba, Omar / Núñez-Andrés, M. Amparo / Lantada, Nieves	Automatic manhole extraction from MMS data to update basemaps	103110
Hamieh, Ahmed / Ben Makhlouf, Aicha / Louhichi, Borhen / Deneux, Dominique	A BIM-based method to plan indoor paths	103120
Cortés-Pérez, Juan Pedro / Cortés-Pérez, Alfonso / Prieto-Muriel, Paloma	BIM-integrated management of occupational hazards in building construction and maintenance	103115
Slaton, Trevor / Hernández, Carlos / Akhavian, Reza	Construction activity recognition with convolutional recurrent networks	103138
Zhong, Botao / Pan, Xing / Love, Peter E. D. / Ding, Lieyun / Fang, Weili	Deep learning and network analysis: Classifying and visualizing accident narratives in construction	103089
Kim, Kinam / Cho, Yong K.	Effective inertial sensor quantity and locations on a body for deep learning-based worker's motion recognition	103126
Krijnen, Thomas / Beetz, Jakob	An efficient binary storage format for IFC building models using HDF5 hierarchical data format	103134
Dorafshan, Sattar / Azari, Hoda	Evaluation of bridge decks with overlays using impact echo, a deep learning approach	103133
Lee, Yong-Cheol / Shariatfar, Moeid / Rashidi, Abbas / Lee, Hyun Woo	Evidence-driven sound detection for prenotification and identification of construction safety hazards and accidents	103127
Bao, Yi / Li, Victor C.	Feasibility study of lego-inspired construction with bendable concrete	103161
Loing, Vianney / Baverel, Olivier / Caron, Jean-François / Mesnil, Romain	Free-form structures from topologically interlocking masonries	103117
Liu, Wenli / Ding, Lieyun	Global sensitivity analysis of influential parameters for excavation stability of metro tunnel	103080
Lin, Jing / Cao, Lijun / Li, Nan	How the completeness of spatial knowledge influences the evacuation behavior of passengers in metro stations: A VR-based experimental study	103136
Atkinson, Gary A. / Zhang, Wenhao / Hansen, Mark F. / Holloway, Mathew L. / Napier, Ashley A.	Image segmentation of underfloor scenes using a mask regions convolutional neural network with two-stage transfer learning	103118
Nikoohemat, Shayan / Diakité, Abdoulaye A. / Zlatanova, Sisi / Vosselman, George	Indoor 3D reconstruction from point clouds for optimal routing in complex buildings to support disaster management	103109
Hu, Wei / Jia, Xiaoyang / Zhu, Xingyi / Su, Aiwu / Du, Yong / Huang, Baoshan	Influence of moisture content on intelligent soil compaction	103141
Tang, Fanlong / Ma, Tao / Zhang, Junhui / Guan, Yongsheng / Chen, Lifeng	Integrating three-dimensional road design and pavement structure analysis based on BIM	103152
Ozturk, Gozde Basak	Interoperability in building information modeling for AECO/FM industry	103122
Li, Hangxin / Wang, Shengwei	Model-based multi-objective predictive scheduling and real-time optimal control of energy systems in zero/low energy buildings using a game theory approach	103139
Zhao, Xilei / Lovreglio, Ruggiero / Nilsson, Daniel	Modelling and interpreting pre-evacuation decision-making using machine learning	103140
Habibnezhad, Mahmoud / Puckett, Jay / Jebelli, Houtan / Karji, Ali / Fardhosseini, Mohammad Sadra / Asadi, Somayeh	Neurophysiological testing for assessing construction workers' task performance at virtual height	103143
Ham, Namhyuk / Moon, Sungkon / Kim, Ju-Hyung / Kim, Jae-Jun	Optimal BIM staffing in construction projects using a queueing model	103123
Ma, Jong Won / Czerniawski, Thomas / Leite, Fernanda	Semantic segmentation of point clouds of building interiors with deep learning: Augmenting training datasets with synthetic BIM-based point clouds	103144
Asadzadeh, Amin / Arashpour, Mehrdad / Li, Heng / Ngo, Tuan / Bab-Hadiashar, Alireza / Rashidi, Ali	Sensor-based safety management	103128
Liu, Zelong / Li, Suzhen	A sound monitoring system for prevention of underground pipeline damage caused by construction	103125
Wang, Rui / Lowe, Russell / Newton, Sidney / Kocaturk, Tuba	Task complexity and learning styles in situated virtual learning environments for construction higher education	103148
Chen, Keyu / Yang, Jianfei / Cheng, Jack C. P. / Chen, Weiwei / Li, Chun Ting	Transfer learning enhanced AR spatial registration for facility maintenance management	103135
Jiang, Weiguang / Zhou, Ying / Ding, Lieyun / Zhou, Cheng / Ning, Xiaodi	UAV-based 3D reconstruction for hoist site mapping and layout planning in petrochemical construction	103137

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IssueID
36350
Publié(e) le:
26.02.2020
Modifié(e) le:
09.05.2022

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Structurae coopère avec

International Association for Bridge and Structural Engineering (IABSE)

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Automation in Construction - mai 2020

Articles dans ce numéro

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Automation in Construction - mai 2020

Articles dans ce numéro

Vous avez dépassé votre limite de téléchargement mensuelle ! Les abonné·es à Structurae Plus peuvent télécharger 30 images ou ensembles de données par mois. Les utilisateurs·rices de Structurae Pro sont limités à 50.

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Vous avez dépassé votre limite de téléchargement mensuelle !

Les abonné·es à Structurae Plus peuvent télécharger 30 images ou ensembles de données par mois.
Les utilisateurs·rices de Structurae Pro sont limités à 50.