A5101561286- Advanced Fiber Optic Sensors
- Advanced Fiber Laser Technologies
- Photonic Crystal and Fiber Optics
- Optical Network Technologies
- Optical Coherence Tomography Applications
- Photonic and Optical Devices
- Advanced optical system design
- Industrial Vision Systems and Defect Detection
- Orbital Angular Momentum in Optics
- Advancements in Semiconductor Devices and Circuit Design
- Radio Frequency Integrated Circuit Design
- Microwave Engineering and Waveguides
- Low-power high-performance VLSI design
- Electromagnetic Compatibility and Noise Suppression
- Heat Transfer Mechanisms
- Silicon Carbide Semiconductor Technologies
- Optical Polarization and Ellipsometry
- Structural Health Monitoring Techniques
- Neural Networks and Reservoir Computing
- Advanced Sensor and Control Systems
- Analog and Mixed-Signal Circuit Design
- Semiconductor Lasers and Optical Devices
Beijing Jiaotong University
2021-2024
Queen's University Belfast
2006
In this work, artificial intelligence (AI) is trained to "study" optical fibers as an AI fiber scientist. The dataset constructed on the structural parameters and confinement loss of hollow-core anti-resonant divided into different datasets. An effective approach overcome non-uniqueness challenge inverse designs tandem neural network (T-NN), which consists a forward prediction model design model, are by impact hyperparameter performance proposed also studied. For mean square error reaches...
In this paper, a novel method, relying on Markov Transition Fields (MTF) and deep learning, is proposed to classify the vibration-events measure vibration-frequency, for <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$ {\varphi } $ </tex-math></inline-formula> -OTDR based fiber-optic distributed vibration sensor. The normalized time series of signal detected by notation="LaTeX">${\varphi }$ are converted...
The fundamental mode confinement loss (CL) of anti-resonant hollow-core fiber (ARF) is efficiently predicted by a classification task machine learning. structure–parameter vector utilized to define the sample space ARFs. CL labeled samples at 1550 nm numerically calculated via finite element method (FEM). magnitude obtained decision tree and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mi>k</mml:mi> </mml:math> -nearest neighbors algorithms with training...
In this work, we obtain extremely low confinement-loss (CL) anti-resonant fibers (ARFs) via swarm intelligence, specifically the particle optimization (PSO) algorithm. We construct a complex search space of ARFs with two layers cladding and nested tubes. There are three four structures tubes in first second layer, respectively. The optimized by using PSO algorithm terms both parameters. optimal structure is obtained from total 415900 structures, lowest CL being 2.839×10-7 dB/m at wavelength...
The implementation of microstructured optical fibers (MOFs) with novel micro-structures and perfect performance is challenging due to the complex fabrication processes. Physics-informed neural networks (PINNs) offer what we believe be a new approach solving partial differential equations within virtual model MOFs. This study, for appears first time, integrates boundary conditions describing fiber drawing process into loss function network. To more accurately solve free fiber’s inner outer...
This paper proposes a broadband mode converter utilizing dual-hollow-core anti-resonant fiber (DHC-ARF) for the first time, in which index matching between LP01 and LP11 modes is achieved by adjusting core diameter size of hollow-core (HC-ARF). Notably, air gap can become main channel energy exchange two cores DHC-ARF, significantly reduces mode. The coupling length greatly reduced, compact realized. Simulation results demonstrate that proposed achieves efficiency (CE) 92.79 % at wavelength...
We present an artificial intelligence compensation method for temperature error of a fiber optic gyroscope (FOG). The difference from the existing methods is that model finally determined by this only uses FOG's data to complete regression prediction and eliminate dependency on sensor. In experimental stage, proposed performs experiments with three varying trends heating, holding, cooling obtains sufficient output sets FOG. Taking time series FOG as input sample based long short-term memory...
This paper proposes a pattern recognition method for φ-OTDR based on self-reference features, where machine learning is applied to classify the vibration monitored. The collects light amplitude-time-space sequence, establishes reference position in spatial dimension, and combines two dimensions of positions form which are then used as features. These features can effectively improve accuracy. selects low sampling frequency data collection, analyzes influence sample definition methods...
<sec>Laser is widely used in various fields such as laser processing, optical imaging, and trapping due to its high monochromaticity, directionality, energy density. However, the beam generated by a Gaussian with non-uniform distribution of energy, this affects interaction between matter. Therefore, it necessary reshape into homogenized light spots uniform energy. Laser homogenization method aims change spatial beam, precisely controlling shape intensity achieve spots. existing methods...
The microstructured optical fibers (MOFs) fabrication process involves repetitive mapping of the drawing parameters, which is time-consuming, laborious and inefficient, has become a fundamental obstacle restricting current design many MOFs with high excellent performances from being fabricated. This paper adopts multi-objective particle swarm optimization (MOPSO) algorithm to optimize parameters inversely according target MOFs, realize fast precise fabrication. In addition, quantitative...
The microstructured optical fibers (MOFs) fabrication process involves repetitive mapping of the drawing parameters, which is time-consuming, laborious and inefficient, has become a fundamental obstacle restricting current design many MOFs with high excellent performances from being fabricated. This paper adopts multi-objective particle swarm optimization (MOPSO) algorithm to optimize parameters inversely according target MOFs, realize fast precise fabrication. In addition, quantitative...
This paper presents a new large signal compact electro-thermal model of the OMMICtrade InP heterojunction bipolar transistor (HBT) based on UCSD (University California, San Diego) HBT and local reference concept for multi-physics circuit simulator fREEDAtrade. Simulations using this coupled with other thermal elements show dynamically how electrical behaviour is influenced by temperature variation active device from iterative calculations, while simulators can only performance at fixed...
Micro/nano optical materials and devices are the key to many fields such as communication, sensing, biophotonics, laser, quantum optics, etc. At present, design of micro/nano optics mainly relies on numerical methods Finite-difference time-domain (FDTD), Finite element method (FEM) difference (FDM). These bottleneck current because their dependence computational resources, low innovation efficiency, difficulties in obtaining global optimal design. Artificial intelligence (AI) has brought a...
In this paper, a novel all-solid anti-resonant single crystal fiber (AR-SCF) with high refractive index tubes cladding is proposed. By producing the material, AR guiding mechanism can be realized for SCF, which reduce mode number to achieve single-mode or few-mode transmission. The influences of different materials and structures on confinement loss effective guided wavelengths 2-3 μm are investigated. Then, optimal AR-SCF determined. Furthermore, fabrication errors analyzed. This work would...
In this study, a refractive-index guiding single-crystal fiber (SCF) with air–solid cladding was proposed and numerical simulation investigation carried out. general, guided constructed through air-holes in the solid material. It resulted effective reduction number of guided-modes, single-mode few-mode transmission could be realized. The influences different materials refractive indices, structure, fabrication errors on confinement loss guided-mode variation wavelength from 2.5 to 3.2 µm...
Coupled electro-thermal simulations are presented to demonstrate predictive design in microwave circuits. These performed using an analytical method comparing time-dependant circuit simulator fREEDA™ with the finite element (FEM) incorporated COMSOL Muttiphysics™ software. A 3D physical thermal model was developed thermalmmic fREEDA™. The advantages of these two packages illustrated by comparisons simulation results from steady-state and transient analyses for illustrative
Optical fibers are the core elements for various fiber-optic applications in communication, lasers, sensors, tweezers, quantum optics, and bio-photonics. Current optical based on a core-cladding structure with different refractive indices mainly fabricated using stack-draw method. However, such traditional fabrication method limits realization of advanced materials, thereby restricting utilization excellent properties offered by these materials. In this study, novel side-array cladding laser...
Abstract In this paper, an unsupervised-learning method for events-identification in φ -OTDR fiber-optic distributed vibration sensor is proposed. The different vibration-events including blowing, raining, direct and indirect hitting, noise-induced false are clustered by the k -means algorithm. equivalent classification accuracy of 99.4% has been obtained, compared with actual classes experiment. With cluster-number 3, maximal Calinski-Harabaz index Silhouette coefficient obtained as 2653...