Machine Learning For Distributed Acoustic Sensors, Classic versus Image and Deep Neural Networks Approach
Distributed Acoustic Sensing (DAS) using fiber optic cables is a promising new technology for pipeline monitoring and protection. In this work, we applied and compared two approaches for event detection using DAS: Classic machine learning approach and the approach based on image processing and deep learning. Although with both approaches acceptable performance can be achieved, the preliminary results show that image based deep learning is more promising approach, offering six times lower event detection delay and twelve times lower execution time.
Code (0)
등록된 구현이 없습니다.
Tasks
BIG-bench Machine LearningDeep LearningEvent DetectionSimilar Papers 제목 키워드 기반
Traffic Flow and Speed Monitoring Based On Optical Fiber Distributed Acoustic Sensor
In the realm of intelligent transportation systems, accurate and reliable traffic monitoring is crucial. Traditional devices, such as cameras and lidars, face limitations in adverse weather conditions and complex traffic…
Techtile -- Open 6G R&D Testbed for Communication, Positioning, Sensing, WPT and Federated Learning
New concepts for next-generation wireless systems are being developed. It is expected that these 6G and beyond systems will incorporate more than only communication, but also sensing, positioning, (deep) edge computing, …
DiversityEdge-computingFederated LearningCompressed domain vibration detection and classification for distributed acoustic sensing
Distributed acoustic sensing (DAS) is a novel enabling technology that can turn existing fibre optic networks to distributed acoustic sensors. However, it faces the challenges of transmitting, storing, and processing mas…
ClassificationCompressive SensingQuantum-Enhanced Transformers for Robust Acoustic Scene Classification in IoT Environments
The proliferation of Internet of Things (IoT) devices equipped with acoustic sensors necessitates robust acoustic scene classification (ASC) capabilities, even in noisy and data-limited environments. Traditional machine …
Acoustic Scene ClassificationData AugmentationScene ClassificationBenchmarking Machine Learning Methods for Distributed Acoustic Sensing
Distributed acoustic sensing (DAS) technology represents an innovative fiber-optic-based sensing methodology that enables real-time acoustic signal monitoring through the detection of minute perturbations along optical f…
BenchmarkingData Augmentationenergy management