2 results match your criteria Automation In Construction[Journal]

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Fusing imperfect experimental data for risk assessment of musculoskeletal disorders in construction using canonical polyadic decomposition.

Autom Constr 2020 Nov;119

National Institute for Occupational Safety and Health, 1095 Willowdale Road, Morgantown, WV 26505, United States of America.

Field or laboratory data collected for work-related musculoskeletal disorder (WMSD) risk assessment in construction often becomes unreliable as a large amount of data go missing due to technology-induced errors, instrument failures or sometimes at random. Missing data can adversely affect the assessment conclusions. This study proposes a method that applies Canonical Polyadic Decomposition (CPD) tensor decomposition to fuse multiple sparse risk-related datasets and fill in missing data by leveraging the correlation among multiple risk indicators within those datasets. Read More

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November 2020

Ultra-rapid delivery of specialty field hospitals to combat COVID-19: Lessons learned from the Hospital project in Wuhan.

Autom Constr 2020 Nov 4;119:103345. Epub 2020 Jul 4.

Central-South Architectural Design Institute, Wuhan, Hubei, China.

With the outbreak of the 2019 novel coronavirus (COVID-19) epidemic in Wuhan, China, in January 2020, the escalating number of confirmed and suspected cases overwhelmed the admission capacity of the designated hospitals. Two specialty field hospitals- and -were designed, built and commissioned in record time (9-12 days) to address the outbreak. This study documents the design and construction of Hospital. Read More

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November 2020
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