A review of piezoelectric energy harvesters for harvesting wind energy

X Zheng, L He, S Wang, X Liu, R Liu… - Sensors and Actuators A …, 2023 - Elsevier
Microelectromechanical systems (MEMS) powered by conventional batteries are
disadvantaged in terms of scope of application and environmental friendliness because their …

[HTML][HTML] Dry laboratories–Mapping the required instrumentation and infrastructure for online monitoring, analysis, and characterization in the mineral industry

Y Ghorbani, SE Zhang, GT Nwaila, JE Bourdeau… - Minerals …, 2023 - Elsevier
Dry laboratories (dry labs) are laboratories dedicated to using and creating data (they are
data-centric). Several aspects of the minerals industry (eg, exploration, extraction and …

Development of IOT-based low-cost MEMS pressure sensor for groundwater level monitoring

M Barzegar, S Blanks, S Gharehdash… - Measurement Science …, 2023 - iopscience.iop.org
Groundwater level monitoring is critical to the protection and management of groundwater
resources. Properly designed and executed instrumentation can play an important role in …

[HTML][HTML] Leveraging internet of things and emerging technologies for earthquake disaster management: Challenges and future directions

MS Abdalzaher, M Krichen, F Falcone - Progress in Disaster Science, 2024 - Elsevier
Seismology is among the ancient sciences that concentrate on earthquake disaster
management (EQDM), which directly impact human life and infrastructure resilience. Such a …

Designing MEMS accelerometer for enhanced sensitivity and reduced cross-sensitivity in landslide monitoring

HR Najafabadi, TG Goto, TC Martins, MSG Tsuzuki… - Measurement, 2024 - Elsevier
MEMS accelerometers capable of detecting weak motions are required in measuring
landslide movements. The sensor's sensitivity and its independent readings of various …

[HTML][HTML] Challenges, limitations, and measurement strategies to ensure data quality in deep-sea sensors

AM Skålvik, C Saetre, KE Frøysa, RN Bjørk… - Frontiers in Marine …, 2023 - frontiersin.org
In this paper we give an overview of factors and limitations impairing deep-sea sensor data,
and we show how automatic tests can give sensors self-validation and self-diagnostic …

[PDF][PDF] Emerging technologies and supporting tools for earthquake disaster management: A perspective, challenges, and future directions

MS Abdalzaher, M Krichen, F Falcone Lanas - 2024 - academica-e.unavarra.es
Seismology is among the ancient sciences that concentrate on earthquake disaster
management (EQDM), which directly impact human life and infrastructure resilience. Such a …

[HTML][HTML] Machine learning and swarm optimization algorithm in temperature compensation of pressure sensors

H Wang, J Li - Sensors, 2022 - mdpi.com
The main temperature compensation method for MEMS piezoresistive pressure sensors is
software compensation, which processes the sensor data using various algorithms to …

Strain Sensing Technology to Enable Next-Generation Industry and Smart Machines for the Factories of the Future: A Review

Y Hamed, G O'Donnell, N Lishchenko… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
In the era of digitalization, there is a huge focus on capturing data from manufacturing
processes and systems. Since the promotion of Industry 4.0, the industrial marketplace has …

[HTML][HTML] Application of MEMS-based accelerometers for near-field monitoring of blasting-induced seismicity

K Fuławka, P Mertuszka, M Szumny, L Stolecki… - Minerals, 2022 - mdpi.com
Proper monitoring of seismic risk and reliable evaluation of destress blasting efficiency
requires a well-developed seismic network surrounding the analyzed area. Unfortunately …