A5083702071- Advanced Fiber Optic Sensors
- Advanced Fiber Laser Technologies
- Photonic Crystal and Fiber Optics
- Dental Radiography and Imaging
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging and Analysis
- Optical Network Technologies
- Photonic and Optical Devices
- Optical Coherence Tomography Applications
- Semiconductor Lasers and Optical Devices
- Ethics in medical practice
- Palliative Care and End-of-Life Issues
- Cultural Competency in Health Care
- Education and Critical Thinking Development
- Structural Health Monitoring Techniques
- Nursing education and management
- Electrical Fault Detection and Protection
- Health and Well-being Studies
- Digital Media Forensic Detection
- Problem Solving Skills Development
- Neural Networks and Reservoir Computing
- Intelligent Tutoring Systems and Adaptive Learning
- Advanced Clustering Algorithms Research
- Social and Intergroup Psychology
- Surface Roughness and Optical Measurements
Beijing Jiaotong University
2019-2024
Hainan Medical University
2023
Anhui Medical University
2023
Nanjing Drum Tower Hospital
2019-2020
Anhui Agricultural University
2019
Tianjin University
2016
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...
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...
We propose a novel fiber-optic auditory nerve of ground (FANG) in the suburb based on distributed vibration sensor (DVS). The feasibility and effectiveness principle prototype FANG for traffic flow monitoring are proved investigated by field experiment. One 31.8 km-long redundant optical fiber buried optical-fiber cable data transmission is utilized as sensing fiber. Then, phase-sensitive time-domain reflectometer (φ-OTDR) DVS realized regarded FANG. events at 9 observation points with...
In e-commerce, the order in which search results are displayed when a customer tries to find relevant listings can significantly impact their shopping experience and efficiency. Tailored re-ranking system based on relevance engagement signals E-commerce has often shown improvement sales gross merchandise value (GMV). Designing algorithms for this purpose is even more challenging shops not restricted domestic buyers, but sale globally international buyers. Our solution needs incorporate...
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...
This study is to investigate the current status of knowledge, attitude and self-reported practice in hospice care among nurses Hainan, China, then analyse its influencing factors mediating effects. provides a basis for formulating scientific standardized training programmes nurses.
Objective To understand the status quo and correlation between problem solving ability positive mental capital of nursing undergraduates. Methods A total 238 undergraduate were investigated with Problem Solving Scale Positive Mental Capital Scale. Results In terms each dimension in Ability Inventory, scores from high to low respectively rational solving, orientation, avoidance style, negative impulsivity/carelessness score was 125.24±17.71. Multivariate stepwise regression...
Objective To investigate the status of clinical nurses′ professional identity, structural empowerment and psychological empowerment, analyze correlation between identity establish a multiple stepwise regression model to discuss dependence in nurses. Methods A total 1 008 nurses from Nanjing Drum Tower Hospital, Affiliated Hospital Medical School University were selected as subject by using convenience sampling method. The General Information Questionnaire, Professional Identity Scale,...
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...