Times-series data augmentation and deep learning for construction equipment activity recognition

KM Rashid, J Louis - Advanced Engineering Informatics, 2019 - Elsevier
Automated, real-time, and reliable equipment activity recognition on construction sites can
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 …

Ergonomic analysis of construction worker's body postures using wearable mobile sensors

ND Nath, R Akhavian, AH Behzadan - Applied ergonomics, 2017 - Elsevier
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 …

Worker 4.0: The future of sensored construction sites

D Calvetti, P Mêda, M Chichorro Gonçalves, H Sousa - Buildings, 2020 - mdpi.com
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 …

Activity identification in modular construction using audio signals and machine learning

KM Rashid, J Louis - Automation in construction, 2020 - Elsevier
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 …

[PDF][PDF] Window-warping: a time series data augmentation of imu data for construction equipment activity identification

KM Rashid, J Louis - … symposium on automation and robotics in …, 2019 - researchgate.net
Automated, real-time, and reliable equipment activity identification on construction sites can
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 …

Automated activity identification for construction equipment using motion data from articulated members

KM Rashid, J Louis - Frontiers in Built Environment, 2020 - frontiersin.org
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 …

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 …

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 …