A5015989323- Quantum Chromodynamics and Particle Interactions
- Particle physics theoretical and experimental studies
- Black Holes and Theoretical Physics
- High-Energy Particle Collisions Research
- Sparse and Compressive Sensing Techniques
- Atomic and Subatomic Physics Research
- Neutrino Physics Research
- Blind Source Separation Techniques
- Analog and Mixed-Signal Circuit Design
- Field-Flow Fractionation Techniques
- Educational Technology and Pedagogy
- Advanced Image and Video Retrieval Techniques
- Image and Signal Denoising Methods
- Algorithms and Data Compression
- Infrastructure Maintenance and Monitoring
- Fluid Dynamics and Turbulent Flows
- Computational Physics and Python Applications
- Advancements in PLL and VCO Technologies
- Target Tracking and Data Fusion in Sensor Networks
- Microwave Imaging and Scattering Analysis
- Optical Network Technologies
- Indoor and Outdoor Localization Technologies
- Photoacoustic and Ultrasonic Imaging
- Image and Object Detection Techniques
- Distributed Sensor Networks and Detection Algorithms
Nanjing Normal University
2014-2025
Xidian University
2021-2024
University Town of Shenzhen
2017
Tsinghua University
2017
We perform an analysis of the ${D}^{+}\ensuremath{\rightarrow}{K}_{S}^{0}{\ensuremath{\pi}}^{+}{\ensuremath{\pi}}^{0}$ Dalitz plot using a data set $2.92\text{ }\text{ }{\mathrm{fb}}^{\ensuremath{-}1}$ ${e}^{+}{e}^{\ensuremath{-}}$ collisions at $\ensuremath{\psi}(3770)$ mass accumulated by BESIII experiment, in which 166694 candidate events are selected with background 15.1%. The is found to be well represented combination six quasi-two-body decay channels...
3-D road surface modeling has become an essential part of modern algorithms for pothole detection when point clouds are available. This paper introduces a scale-adaptive and tracking framework. It first fits quadratic to the cloud, generated using GPT-SGM, state-of-the-art disparity estimation algorithm. The process also incorporates normal vector information, obtained by three-filters-to-normal (3F2N), ultra-fast accurate estimator. By comparing actual modeled clouds, can be extracted....
Signal-to-noise ratio (SNR) estimation for the one-bit analog-to-digital converter (ADC) is a challenging task due to nonlinearity, lots of information loss, and complex probability distribution. And classical SNR estimators are unavailable in 1-bit sampling. Given this issue, we propose novel with closed-form solution based on harmonic analysis estimate from measurements. We first derive statistical characteristic each-order caused by sampling then give mathematical relationship between...
The application of one-bit sampling technology in synthetic aperture radar (SAR) systems has great potential due to its attractive advantages such as fast speed, low data rate, high real-time performance, cheap hardware cost, and energy consumption. However, produces ghost targets SAR imaging results causes a significant reduction the resolution sharpness images, which is challenge for imaging. We develop novel residual attention augmented U-shaped network (RAAUNet) with an...
This letter investigates the problem of determining static target in multistatic systems using bistatic range (BR) measurements, which can be obtained by some local sensor signal processing methods. The localization is first formulated as a semidefinite programming relaxation technique. Then, an initial position estimate given augmenting unknown parameter space, required for solving SDP problem. Specifically, this initialization also closed-form solution. Compared with existing algorithms,...
Objective To establish the core knowledge system of training orthopedics specialist nurses based on post competency. Methods 40 experts were consulted for two rounds using Delphi methods to nurses. Results Two consultation issued 40, 37 questionnaires, 37, 35 valid questionnaires recovered respectively. Authority coefficient consulting was 0.85 and 0.88 Coordination projects contents 0.62 0.35. Determined systems included theoretical knowledge, skills, professional attitude...
Saliency detection aims to focus attention on the important parts of a map, which is an excellent ability human visual system. In this paper, we present saliency model based principle that pixels belong background are more disperse than ones target area. Color contrast in different channels employed classify pixels. Our method outperformed five art-of-the-state algorithms ground-truth evaluation experiment by achieving good precision-recall curve and indicates degree color importance feature...