- Advanced X-ray Imaging Techniques
- Advanced X-ray and CT Imaging
- Medical Imaging Techniques and Applications
- Industrial Vision Systems and Defect Detection
- Optical measurement and interference techniques
- Image and Object Detection Techniques
- Geotechnical Engineering and Underground Structures
- Advanced MRI Techniques and Applications
- Advanced Electron Microscopy Techniques and Applications
- X-ray Spectroscopy and Fluorescence Analysis
- Image Processing Techniques and Applications
- X-ray Diffraction in Crystallography
- Advanced Wireless Communication Technologies
- Lower Extremity Biomechanics and Pathologies
- Reinforcement Learning in Robotics
- Optical Systems and Laser Technology
- Tendon Structure and Treatment
- Osteoarthritis Treatment and Mechanisms
- Rock Mechanics and Modeling
- Industrial Technology and Control Systems
- Advanced Wireless Communication Techniques
- Asphalt Pavement Performance Evaluation
- Power Systems and Renewable Energy
- Fire Detection and Safety Systems
- Power Quality and Harmonics
University of Science and Technology of China
2016-2024
Chongqing Jiaotong University
2023-2024
Wenhua College
2022
Wuhan College
2022
University at Buffalo, State University of New York
2022
North China University of Science and Technology
2019-2022
South China University of Technology
2021
First Affiliated Hospital of Xi'an Jiaotong University
2021
North China Electric Power University
2021
Shanghai Institute of Applied Physics
2013-2020
Fabric defect detection is a necessary and essential step of quality control in the textile manufacturing industry. Traditional fabric inspections are usually performed by manual visual methods, which low efficiency poor precision for long-term industrial applications. In this paper, we propose an unsupervised learning-based automated approach to detect localize defects without any intervention. This used reconstruct image patches with convolutional denoising autoencoder network at multiple...
The scaling down of switching media encounters high leakage current in the traditional oxide material based memristors, resulting power consumption chips. Two-dimensional (2D) materials promise an ultimate device to atomic layer thickness. Herein, black phosphorus (BP) and its self-assembly phosphorous memristors are constructed, which leverages on/off ratio operation oxides low 2D with performance. exhibit reproducible reliable characteristics >107 data retention >104 s....
Semiconductor wafer is widely used in welding robot, spray unmanned material delivery vehicle, and detection station sensor. The defects of semiconductor wafer, such as stains, burrs, scratches, holes generated the manufacturing process, severely affect quality downstream products. Therefore, inspection defect could not be neglected. Traditional methods based on handcrafted features heavily rely expertise are limited some application scenario. In this article, a novel method deep...
Insufficient adhesion between ultrathin wearing courses (UTWCs) and substrate layers can result in pavement distress. Epoxy asphalt exhibits potential as a tack coat due to its high bonding strength thermal stability. However, rapid curing may pose challenges construction schedules. This study aimed optimize the formulations of epoxy coats (EATCs) enhance interfacial working performance UTWCs. The EATCs was evaluated through rotational viscosity tensile tests. Design parameters were...
BACKGROUND Patella baja, or patella infera, consists of a low-lying that results in limited range motion, joint pain, and crepitations. Patellofemoral osteoarthritis (PFJOA) is subtype OA the knee. This study aimed to develop reproducible reliable rat model PFJOA. MATERIAL AND METHODS Three-month-old female Sprague-Dawley rats (n=24) included baseline group (n=8) were euthanized at beginning study. The sham (n=8), ligament shortening (PLS) evaluated ten weeks. PLS underwent insertion...
Three dimensional (3D) microscopic distributions of dolomite and calcite in a limestone sample have been analyzed with data-constrained modeling (DCM) technique using synchrotron radiation-based multi-energy X-ray computed tomography (CT) data as constraints. In order to optimize the experimental parameters, CT simulations DCM analysis numerical phantom consisting (CaCO3) (CaMg(CO3)2) used investigate effects on predicted results relation noise, energy sample-to-detector distance (SDD). The...
We propose a feasibility study to perform 3D elemental imaging for multiple elements of interest within single sample using full-field X-ray fluorescence computed tomography (FF-XFCT).
Sparse code multiple access (SCMA), as a promising non-orthogonal approach, can support massive devices communications for cellular the Internet of Things (IoT). This paper focuses on research low complexity detection scheme SCMA system. Although original message passing algorithm (MPA) detector achieves nearly optimal bit error ratio (BER) performance system, high computation makes it hard to implement in practice. To handle this problem, we propose based edge selection. The from function...
Compared to phase retrieval from single sample-to-detector distance (SDD) image, with multiple SDD images could improve the precision in quantitative X-ray in-line contrast imaging (QXIPCI). Among all related approaches, two-SDD-image-based one is simplest and well compromises between dose. However, how optimize recording distances for two achieve highest precision, remains unsolved. In this paper, problem was investigated systematically based on digital simulation experiments. Spectral...
Compared to the grating or crystal-based X-ray phase contrast imaging, speckle-tracking method has advantages of a simple setup and two-dimensional imaging. However, edge-enhancement effect prevents application imaging large variety samples. In this letter, an image reconstruction is proposed solve problem. The experimental results from phantom, biomedical sample, sample with speckle-resembling structure demonstrated that efficacious in eliminating edge enhancement. may greatly expand most material
Multiscale nondestructive characterization of coal microscopic physical structure can provide important information for conversion and coal-bed methane extraction. In this study, the a sample was investigated by synchrotron-based multiple-energy X-ray CT at three beam energies two different spatial resolutions. A data-constrained modeling (DCM) approach used to quantitatively characterize multiscale compositional distributions The volume fractions each voxel four composition groups were...
BACKGROUND:The outstanding functional importance of the brain implies a strong need for imaging modalities. However, current approaches that target in rodents remain suboptimal. OBJECTIVE AND METHODS:In this paper, X-ray propagation-based phase contrast combined with equally sloped tomography (PPCI-EST) was employed to nondestructively investigate mouse brain. RESULTS:The grey and white matters, which have extremely small differences electron density, were clearly discriminated. The fine...
Phase retrieval is one of the most important steps for coherent X-ray diffractive imaging (CXDI), Which uses oversampled far-field diffraction pattern phase iterative algorithm in order to achieve lost information. Here we used a small nonperiodic 2D digital image as object studying effect oversampling ratio and obtained optimum 3—7 when iteration times was 1000. We also added random noise examine applicability this approach real data. found reconstruction failed signal less than 10. As...
In coherent x-ray diffractive imaging, the oversampled far-field diffraction pattern for phase retrieval iterative algorithm is used in order to reconstruct information about real space. The support constraint one of most important steps 3D process. Here we use a small nonperiodic 2D digital image as an object studying pursuing automatically and noise correction different types noises pattern. We find efficient method while traditional methods do not work well high condition. result shows...
For simulating CoalBed Methane (CBM) hydraulic fracturing using 3-D meshless method, this paper analyzed the mechanism and cracking form for coal rock established geometric mathematical models of propagation in terms Hillerborg model on crack opening displacement theory. With theoretical basis hydromechanics, formulas calculating pressure inside fracture by numerical simulation were deduced from analysis fluid-structure interaction problem. The above described Galerkin (EFG, Element-Free...
High resolution Fresnel zone plates for nanoscale three-dimensional imaging of materials by both soft and hard x-rays are increasingly needed the broad applications in nanoscience nanotechnology. When outmost zone-width is shrinking down to 50 nm or even below, patterning with high aspect ratio electron beam lithography still remains a challenge because proximity effect. The uneven charge distribution exposed resist frequently observed after standard effect correction (PEC), large variety...
The drilling length is an important parameter in the process of horizontal directional (HDD) exploration and recovery, but there has been a lack accurate, automatically obtained statistics regarding this parameter. Herein, technique for real-time HDD detection management system based on electromagnetic method with microprocessor two magnetoresistive sensors employing software LabVIEW are proposed. basic principle to detect change magnetic-field strength near current coil while drill stem...
Increasing deployment of optical fiber networks and the need for reliable high bandwidth make task inspecting connector end faces a crucial process that must not be neglected. Traditional face inspections are usually performed by manual visual methods, which low in efficiency poor precision long-term industrial applications. More seriously, inspection results cannot quantified subsequent analysis. Aiming at characteristics typical defects faces, we propose novel method, “difference min-max...
Computed tomography is making a significant impact in the field of materials science recent years. In this paper authors report on advances made three areas characterization and also identified where further research needs to be focused. First we new approach data analysis called "Data Constrained Modelling (DCM)" which compositional can undertaken rather than adsorption or phase contrast tomography. This achieved by collecting X-ray CT at different energies then combining datasets...