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Optical Fibers

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An Optical Fiber Sensing Method for Measuring the Surface Flatness of an Object.

Computational intelligence and neuroscience
Sensing of data or object is a mature research domain where intelligent devices, may possibly be embedded with the artificial intelligence-based techniques, are placed in the closed vicinity of the object or phenomenon. This sensing activity becomes ...

Semi-Supervised Deep Learning in High-Speed Railway Track Detection Based on Distributed Fiber Acoustic Sensing.

Sensors (Basel, Switzerland)
High deployment costs, safety risks, and time delays restrict traditional track detection methods in high-speed railways. Therefore, approaches based on optical sensors have become the most remarkable strategy in terms of deployment cost and real-tim...

All-fiber high-speed image detection enabled by deep learning.

Nature communications
Ultra-high-speed imaging serves as a foundation for modern science. While in biomedicine, optical-fiber-based endoscopy is often required for in vivo applications, the combination of high speed with the fiber endoscopy, which is vital for exploring t...

Deep learning-based ballistocardiography reconstruction algorithm on the optical fiber sensor.

Optics express
Ballistocardiography (BCG) is a vibration signal related to cardiac activity, which can be obtained in a non-invasive way by optical fiber sensors. In this paper, we propose a modified generative adversarial network (GAN) to reconstruct BCG signals b...

Compliant Mechanism-Based Sensor for Large Strain Measurements Employing Fiber Optics.

Sensors (Basel, Switzerland)
We propose a sensor design for measurement of large strains where direct application of a fiber optic strain gauge is impossible due to the stiffness mismatch between the optical fiber and the structure under test. The sensor design is based on a rho...

Experimental implementation of a neural network optical channel equalizer in restricted hardware using pruning and quantization.

Scientific reports
The deployment of artificial neural networks-based optical channel equalizers on edge-computing devices is critically important for the next generation of optical communication systems. However, this is still a highly challenging problem, mainly due ...

Application of Deep Convolutional Neural Network for Automatic Detection of Digital Optical Fiber Repeater.

Sensors (Basel, Switzerland)
The digital optical fiber repeater (DOFR) is an important infrastructure in the LTE networks, which solve the problem of poor regional signal quality. Various types of conventional measurement data from the LTE network cannot indicate whether a worki...

Speckle classification of a multimode fiber based on Inception V3.

Applied optics
Multimode optical fiber plays an important role in endoscope miniaturization. With the development of deep learning and machine learning, neural networks can be used to identify and classify speckle patterns obtained at the fiber output. Based on the...

Spatially variant deblur and image enhancement in a single multimode fiber imaged by deep learning.

Optics letters
A single multimode fiber has been applied in minimally invasive endoscopy with wavefront shaping for biological research such as brain imaging. Most of the fibers, such as step-index and graded-index multimode fibers, give rise to spatially variant b...

Elastomer-Embedded Multiplexed Optical Fiber Sensor System for Multiplane Shape Reconstruction.

Sensors (Basel, Switzerland)
This paper presents the development and application of a multiplexed intensity variation-based sensor system for multiplane shape reconstruction. The sensor is based on a polymer optical fiber (POF) with sequential lateral sections coupled with a fle...