Digital twin: Enabling technologies, challenges and open research

A Fuller, Z Fan, C Day, C Barlow - IEEE access, 2020 - ieeexplore.ieee.org
Digital Twin technology is an emerging concept that has become the centre of attention for
industry and, in more recent years, academia. The advancements in industry 4.0 concepts …

Digital twin: Values, challenges and enablers from a modeling perspective

A Rasheed, O San, T Kvamsdal - IEEE access, 2020 - ieeexplore.ieee.org
Digital twin can be defined as a virtual representation of a physical asset enabled through
data and simulators for real-time prediction, optimization, monitoring, controlling, and …

UAV based long range environment monitoring system with Industry 5.0 perspectives for smart city infrastructure

R Sharma, R Arya - Computers & Industrial Engineering, 2022 - Elsevier
Air quality defines the condition of the air within the environment. However, the quality of the
air is deteriorating due to the emission of pollutants from vehicles, industries, and landfill …

IoT-based data logger for weather monitoring using arduino-based wireless sensor networks with remote graphical application and alerts

J Mabrouki, M Azrour, D Dhiba… - Big Data Mining and …, 2021 - ieeexplore.ieee.org
In recent years, the monitoring systems play significant roles in our life. So, in this paper, we
propose an automatic weather monitoring system that allows having dynamic and real-time …

[HTML][HTML] LoRaWAN-based IoT system implementation for long-range outdoor air quality monitoring

WA Jabbar, T Subramaniam, AE Ong, MI Shu'Ib, W Wu… - Internet of Things, 2022 - Elsevier
This study proposes a smart long-range (LoRa) sensing node to timely collect the air quality
information and update it on the cloud. The developed long-range wide area network …

New trends on digital twin-based blockchain technology in zero-emission ship applications

B Zavareh, H Foroozan, M Gheisarnejad… - Naval Engineers …, 2021 - ingentaconnect.com
Nowadays, with the widespread industrial use of digital data and relative maturity of the
Internet of fiings (IoT), and data analytics (artificial intelligence (AI), machine learning (ML) …

Digital twin: Values, challenges and enablers

A Rasheed, O San, T Kvamsdal - arXiv preprint arXiv:1910.01719, 2019 - arxiv.org
A digital twin can be defined as an adaptive model of a complex physical system. Recent
advances in computational pipelines, multiphysics solvers, artificial intelligence, big data …

[HTML][HTML] A portable environmental data-monitoring system for air hazard evaluation in deep underground mines

B Ziętek, A Banasiewicz, R Zimroz, J Szrek, S Gola - Energies, 2020 - mdpi.com
Air-quality measurements in a deep underground mine are a critical issue. The cost of
ventilation, as well as the geometry of the considered mine, make this process very difficult …

IOT based air quality monitoring system using MQ135 and MQ7 with machine learning analysis

KBK Sai, SR Subbareddy, AK Luhach - Scalable Computing: Practice and …, 2019 - scpe.org
This paper deals with measuring the Air Quality using MQ135 sensor along with Carbon
Monoxide CO using MQ7 sensor. Measuring Air Quality is an important element for bringing …

[HTML][HTML] Low cost, multi-pollutant sensing system using raspberry pi for indoor air quality monitoring

H Zhang, R Srinivasan, V Ganesan - Sustainability, 2021 - mdpi.com
Deteriorating levels of indoor air quality is a prominent environmental issue that results in
long-lasting harmful effects on human health and wellbeing. A concurrent multi-parameter …