Times-series data augmentation and deep learning for construction equipment activity recognition
Automated, real-time, and reliable equipment activity recognition on construction sites can
help to minimize idle time, improve operational efficiency, and reduce emissions. Previous …
help to minimize idle time, improve operational efficiency, and reduce emissions. Previous …
Automated workers' ergonomic risk assessment in manual material handling using sEMG wearable sensors and machine learning
SE Mudiyanselage, PHD Nguyen, MS Rajabi… - Electronics, 2021 - mdpi.com
Manual material handling tasks have the potential to be highly unsafe from an ergonomic
viewpoint. Safety inspections to monitor body postures can help mitigate ergonomic risks of …
viewpoint. Safety inspections to monitor body postures can help mitigate ergonomic risks of …
Ergonomic analysis of construction worker's body postures using wearable mobile sensors
Construction jobs are more labor-intensive compared to other industries. As such,
construction workers are often required to exceed their natural physical capability to cope …
construction workers are often required to exceed their natural physical capability to cope …
Worker 4.0: The future of sensored construction sites
The digitalization of the construction industry (CI) has the aim—among others—to raise the
bar of overall productivity. The craft workforce is very relevant on the overall value-chain …
bar of overall productivity. The craft workforce is very relevant on the overall value-chain …
Activity identification in modular construction using audio signals and machine learning
Modular construction is an attractive building method due to its advantages over traditional
stick-built methods in terms of reduced waste and construction time, more control over …
stick-built methods in terms of reduced waste and construction time, more control over …
[PDF][PDF] Window-warping: a time series data augmentation of imu data for construction equipment activity identification
Automated, real-time, and reliable equipment activity identification on construction sites can
help to minimize idle times, improve operational efficiencies, and reduce emissions. Many …
help to minimize idle times, improve operational efficiencies, and reduce emissions. Many …
Design of a digital 3D model of transport–technological environment of open-pit mines based on the common use of telemetric and geospatial information
I Temkin, A Myaskov, S Deryabin, I Konov, A Ivannikov - Sensors, 2021 - mdpi.com
This article is devoted to the issues of processing and analysis of heterogeneous information
related to the functioning of mining transport equipment, which becomes available for …
related to the functioning of mining transport equipment, which becomes available for …
Automated activity identification for construction equipment using motion data from articulated members
Real-time monitoring and assessment of construction resources have always been a
challenge due to the unique, dynamic, and complex nature of each construction site and …
challenge due to the unique, dynamic, and complex nature of each construction site and …
Automated estimation of construction equipment emission using inertial sensors and machine learning models
F Shahnavaz, R Akhavian - Sustainability, 2022 - mdpi.com
The construction industry is one of the main producers of greenhouse gasses (GHG). With
the looming consequences of climate change, sustainability measures including quantifying …
the looming consequences of climate change, sustainability measures including quantifying …
Possible architecture and some neuro-fuzzy algorithms of an intelligent control system for open pit mines transport facilities
I Temkin, S Deryabin, I Konov… - Fuzzy Systems and Data …, 2019 - ebooks.iospress.nl
This article is focused on the organization of computational processes in the framework of
the intelligent control system of transport and technological processes in the extraction of …
the intelligent control system of transport and technological processes in the extraction of …