Design and Evaluation of Real-Time Data Storage and Signal Processing in a Long-Range Distributed Acoustic Sensing (DAS) Using Cloud-Based Services
In cloud-based Distributed Acoustic Sensing (DAS) sensor data management, we are confronted with two primary challenges. First, the development of efficient storage mechanisms capable of handling the enormous volume of data generated by these sensors poses a challenge. To solve this issue, we propos...
Saved in:
| Main Authors: | Abdusomad Nur, Yonas Muanenda |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-09-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/24/18/5948 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Design and Evaluation of a Cloud Computing System for Real-Time Measurements in Polarization-Independent Long-Range DAS Based on Coherent Detection
by: Abdusomad Nur, et al.
Published: (2024-12-01) -
Field Experiments of Distributed Acoustic Sensing Measurements
by: Haiyan Shang, et al.
Published: (2024-11-01) -
An analysis of the dynamic range of Distributed Acoustic Sensing for Earthquake Early Warning
by: Martijn van den Ende, et al.
Published: (2025-04-01) -
Research Advances on Distributed Acoustic Sensing Technology for Seismology
by: Alidu Rashid, et al.
Published: (2025-02-01) -
Detection of Seismic and Acoustic Sources Using Distributed Acoustic Sensing Technology in the Gulf of Catania
by: Abdelghani Idrissi, et al.
Published: (2025-03-01)