A5075434724- Optical measurement and interference techniques
- Advanced Measurement and Metrology Techniques
- Advanced Sensor and Control Systems
- Thin-Film Transistor Technologies
- Advanced Algorithms and Applications
- Image Processing Techniques and Applications
- Surface Roughness and Optical Measurements
- Robotic Path Planning Algorithms
- Advanced Fluorescence Microscopy Techniques
- Advanced Numerical Analysis Techniques
- Industrial Technology and Control Systems
- Advanced Computational Techniques and Applications
- Sensor Technology and Measurement Systems
- Optical Coatings and Gratings
- Optical Coherence Tomography Applications
- Silicon and Solar Cell Technologies
- Advanced Measurement and Detection Methods
- Control and Dynamics of Mobile Robots
- Additive Manufacturing Materials and Processes
- Silicon Nanostructures and Photoluminescence
- Mechanical stress and fatigue analysis
- Advanced machining processes and optimization
- Scientific Measurement and Uncertainty Evaluation
- Engineering Technology and Methodologies
- Embedded Systems and FPGA Design
Huazhong University of Science and Technology
2013-2024
Southeast University
2014-2024
Wuhan National Laboratory for Optoelectronics
2024
Beijing University of Chemical Technology
2024
Nanjing University of Aeronautics and Astronautics
2015-2023
National Institute of Metrology
2012-2022
Zhejiang University
2005-2022
Tongji Hospital
2022
Tsinghua University
2006-2021
Tianjin University of Technology
2021
As one of the recently proposed algorithms for sparse system identification, $l_0$ norm constraint Least Mean Square ($l_0$-LMS) algorithm modifies cost function traditional method with a penalty tap-weight sparsity. The performance $l_0$-LMS is quite attractive compared its various precursors. However, there has been no detailed study performance. This paper presents all-around and throughout theoretical analysis white Gaussian input data based on some reasonable assumptions. Expressions...
The recent proliferation of engineered surfaces, including freeform and structured is challenging current metrology techniques. Measurement using multiple sensors has been proposed to achieve enhanced benefits, mainly in terms spatial frequency bandwidth, which a single sensor cannot provide. When data from different sensors, process fusion required there much active research this area. In paper, methods applications are reviewed, with focus on the mathematical foundations subject. Common...
Improving the utilization of iridium in proton exchange membrane (PEM) water electrolyzer is critical reducing their cost for future development. Titanium dioxide (TiO2) has notable electrochemical stability at high operating potential and been developed as a promising support iridium-based OER nano-catalysts. However, limited by insufficient conductivity, content on TiO2 catalysts normally above 50 wt.%. Herein, provided conductivity-enhanced low-iridium-loading PEMWE, successfully to 28...
People can only enjoy the full benefits of Cloud computing if we address very real privacy and security concerns that come along with storing sensitive personal information in databases software scattered around Internet. There are many service provider internet, call each as a cloud, cloud will exchange data other so when is exchanged between clouds, there exist problem disclosure privacy. So about individual or company inevitably exposed releasing sharing service. Privacy an important...
Uniform sampling in metrology has known drawbacks such as coherent spectral aliasing and a lack of efficiency terms measuring time data storage.The requirement for intelligent strategies been outlined over recent years, particularly where the measurement structured surfaces is concerned.Most present research on focused dimensional using coordinate-measuring machines with little reported area surface metrology.In here, potential topography are investigated by numerical simulation experimental...
The propagation properties of edge mode graphene surface plasmon polaritons (EGSPs) guided along a nanoribbon coplanar waveguide coupled with nanoring are investigated, both in parallel and serial cascades. Strong coupling EGSPs between the appears at resonance frequencies. Further investigation shows that can be supported by nanorings, even though radiuses very small. frequencies tuned geometric parameters doping level graphene. A Y-shape switch based on structures is presented as an...
The axial resolution of confocal microscopy is not only dependent on optical characteristics but also the utilized peak extraction algorithms. In previous evaluations algorithms, sample surface height generally assumed to be zero, and sampling-noise-induced uncertainty was analyzed. Here we propose a surface-height-dependent (SHD) evaluation model that takes combined considerations noise for comparisons algorithms' performances. Monte Carlo simulations were first conducted centroid algorithm...
Calibration is a fundamental step in fringe projection profilometry development. Among various methods, hybrid calibration promising solution given its high flexibility and sensing speed. However, existing approaches suffer the problem of limited accuracy convenience. For example, customized high-accuracy artifacts with complex operations are usually required. This article reports method improved operability, based on unique back-projection nonlinear epipolar sampling analysis. performed...
Abstract Mo/Mo–SiO 2 /SiO solar‐selective coating for high‐temperature solar thermal application is prepared on quartz glass by direct‐current (DC) and radio‐frequency (RF) co‐sputtering. The normal absorptance α n = 0.95 emittance ε 0.097 (353 K) are obtained through process optimization. reflectance R ( λ ) before after 1073 K vacuum annealing, measured ultraviolet–visible–infrared (UV–VIS–IR) Fourier transform infrared (FT‐IR) spectroscopy. There only a slight increase in IR region which...
Accurate and reliable peak extraction of axial response signals plays a critical role in confocal microscopy. For signal processing, nonlinear fitting algorithms, such as parabolic, Gaussian or sinc2 may cause significant systematic errors. Also, existing error compensation methods require priori knowledge the full-width-at-half-maximum signal, which can be difficult to obtain practice. In this paper, we propose generalised method for from signals. This full-width-at-half-maximum-independent...
Vehicle detection and tracking is a significant part in auxiliary vehicle driving system. Using the traditional method based on image information has encountered enormous difficulties, especially complex background. To solve this problem, deep learning, Faster R-CNN, which very high accuracy flexibility, introduced. An algorithm of target with combination Camshift Kalman filter proposed for tracking. The computation time R-CNN cannot achieve realtime detection. We use multi-thread technique...