Applications of (Big) Data Analysis in A/E/C
This Special Issue (SI), entitled “Application of (Big) Data Analysis in A/E/C (architecture, engineering, and construction)”, in Buildings has published quality papers outlining novel contributions of the application of big data theory, modeling techniques, and methodologies as a tool for leveragin...
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| Formato: | Online |
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| Lenguaje: | inglés |
| Publicado: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Materias: | |
| Acceso en línea: | ONIX_20230808_9783036582184_5 |
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| _version_ | 1869517906385043456 |
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| collection | Directory of Open Access Books |
| description | This Special Issue (SI), entitled “Application of (Big) Data Analysis in A/E/C (architecture, engineering, and construction)”, in Buildings has published quality papers outlining novel contributions of the application of big data theory, modeling techniques, and methodologies as a tool for leveraging data analytics in the building industry. Contributions have covered related topics from various application domains of the global A/E/C industry, including structures/structural engineering, materials/geotechnical engineering, construction design/measure, IS/BIM, transport/energy planning and building management, etc. As can be seen in the editorial essay, some domains have been addressed with more emphasis, but some are not. In addition to the editorial essay, the published research works have also touched almost all phases of (big) data analytics, including data collection and curation, data pre-processing, data analysis, prediction, (data-driven) decision making and decision supports, etc., except that related topics about forecasting are still missing. This allows for identifying ‘hot zones’ of research, in which follow-up research and extended studies should be performed, and ‘cold zones’, awaiting the utilization and novel application of data and theories/models. |
| format | Online |
| id | doab-20.500.12854ir-112499 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1124992024-04-09T23:16:00Z Applications of (Big) Data Analysis in A/E/C Zhuang, Zheng-Yun Yang, Ying-Wu Hsu, Ming-Hung high performance concrete (HPC) experimental parameters data-driven analysis pre-project material testing pairwise comparison analysis correlation analysis cosine similarity predictive regression modelling heat map variable transform energy generation green energy wind turbines fan-blade damage mechanical condition monitoring system fault diagnosis maintenance by prediction accelerometer vibration data big-data analytics reliability analysis RC slab-column structure machine learning Monte Carlo simulation shapley additive explanation wireless sensor network historic building real-time monitoring recycling of waste materials water-to-binder ratio (W/B ratio) waste PE cement mortar durability steel assembly bracing foundation pit environmental temperature vibration analysis building information model 3D point cloud semantic segmentation deep learning highway data quality assessment data quality dimensions semiotic framework decision-making construction image artificial intelligence object detection single shot multibox detector (SSD) n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology This Special Issue (SI), entitled “Application of (Big) Data Analysis in A/E/C (architecture, engineering, and construction)”, in Buildings has published quality papers outlining novel contributions of the application of big data theory, modeling techniques, and methodologies as a tool for leveraging data analytics in the building industry. Contributions have covered related topics from various application domains of the global A/E/C industry, including structures/structural engineering, materials/geotechnical engineering, construction design/measure, IS/BIM, transport/energy planning and building management, etc. As can be seen in the editorial essay, some domains have been addressed with more emphasis, but some are not. In addition to the editorial essay, the published research works have also touched almost all phases of (big) data analytics, including data collection and curation, data pre-processing, data analysis, prediction, (data-driven) decision making and decision supports, etc., except that related topics about forecasting are still missing. This allows for identifying ‘hot zones’ of research, in which follow-up research and extended studies should be performed, and ‘cold zones’, awaiting the utilization and novel application of data and theories/models. 2023-08-08T15:23:15Z 2023-08-08T15:23:15Z 2023 book ONIX_20230808_9783036582184_5 9783036582184 9783036582191 https://directory.doabooks.org/handle/20.500.12854/112499 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/7616 https://mdpi.com/books/pdfview/book/7616 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-8219-1 10.3390/books978-3-0365-8219-1 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036582184 9783036582191 234 Basel open access |
| spellingShingle | high performance concrete (HPC) experimental parameters data-driven analysis pre-project material testing pairwise comparison analysis correlation analysis cosine similarity predictive regression modelling heat map variable transform energy generation green energy wind turbines fan-blade damage mechanical condition monitoring system fault diagnosis maintenance by prediction accelerometer vibration data big-data analytics reliability analysis RC slab-column structure machine learning Monte Carlo simulation shapley additive explanation wireless sensor network historic building real-time monitoring recycling of waste materials water-to-binder ratio (W/B ratio) waste PE cement mortar durability steel assembly bracing foundation pit environmental temperature vibration analysis building information model 3D point cloud semantic segmentation deep learning highway data quality assessment data quality dimensions semiotic framework decision-making construction image artificial intelligence object detection single shot multibox detector (SSD) n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Applications of (Big) Data Analysis in A/E/C |
| title | Applications of (Big) Data Analysis in A/E/C |
| title_full | Applications of (Big) Data Analysis in A/E/C |
| title_fullStr | Applications of (Big) Data Analysis in A/E/C |
| title_full_unstemmed | Applications of (Big) Data Analysis in A/E/C |
| title_short | Applications of (Big) Data Analysis in A/E/C |
| title_sort | applications of big data analysis in a e c |
| topic | high performance concrete (HPC) experimental parameters data-driven analysis pre-project material testing pairwise comparison analysis correlation analysis cosine similarity predictive regression modelling heat map variable transform energy generation green energy wind turbines fan-blade damage mechanical condition monitoring system fault diagnosis maintenance by prediction accelerometer vibration data big-data analytics reliability analysis RC slab-column structure machine learning Monte Carlo simulation shapley additive explanation wireless sensor network historic building real-time monitoring recycling of waste materials water-to-binder ratio (W/B ratio) waste PE cement mortar durability steel assembly bracing foundation pit environmental temperature vibration analysis building information model 3D point cloud semantic segmentation deep learning highway data quality assessment data quality dimensions semiotic framework decision-making construction image artificial intelligence object detection single shot multibox detector (SSD) n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | high performance concrete (HPC) experimental parameters data-driven analysis pre-project material testing pairwise comparison analysis correlation analysis cosine similarity predictive regression modelling heat map variable transform energy generation green energy wind turbines fan-blade damage mechanical condition monitoring system fault diagnosis maintenance by prediction accelerometer vibration data big-data analytics reliability analysis RC slab-column structure machine learning Monte Carlo simulation shapley additive explanation wireless sensor network historic building real-time monitoring recycling of waste materials water-to-binder ratio (W/B ratio) waste PE cement mortar durability steel assembly bracing foundation pit environmental temperature vibration analysis building information model 3D point cloud semantic segmentation deep learning highway data quality assessment data quality dimensions semiotic framework decision-making construction image artificial intelligence object detection single shot multibox detector (SSD) n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20230808_9783036582184_5 |