A5069944951- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
- Black Holes and Theoretical Physics
- Dark Matter and Cosmic Phenomena
- Neutrino Physics Research
- Computational Physics and Python Applications
- Atomic and Subatomic Physics Research
- Nuclear physics research studies
- Particle Accelerators and Free-Electron Lasers
- Particle Detector Development and Performance
- Medical Imaging Techniques and Applications
- Computer Graphics and Visualization Techniques
- Advanced Algebra and Geometry
- Pancreatic and Hepatic Oncology Research
- Scientific Research and Discoveries
- Advanced Optical Imaging Technologies
- advanced mathematical theories
- CCD and CMOS Imaging Sensors
- Advanced Vision and Imaging
- Advanced Optical Sensing Technologies
- Nuclear Physics and Applications
- Geophysics and Gravity Measurements
- Advanced Measurement and Metrology Techniques
- Adaptive optics and wavefront sensing
University of Science and Technology Liaoning
2016-2025
Hunan University
2025
China Center of Advanced Science and Technology
2013-2024
Taishan University
2024
Henan University
2023-2024
Eastern Hepatobiliary Surgery Hospital
2024
Second Military Medical University
2024
University of Hong Kong
2023-2024
Commercial Aircraft Corporation of China (China)
2024
Tianjin Chengjian University
2024
Evaporation residue cross sections (ERCSs) for heavy-ion fusion reactions are calculated by using the dinuclear system model combined with statistical model. The results reproduce well experimental trends of $3n$ and $4n$ channel $^{48}\mathrm{Ca}+^{238}\mathrm{U}$, $^{48}\mathrm{Ca}+^{244}\mathrm{Pu}$, $^{48}\mathrm{Ca}+^{248}\mathrm{Cm}$. To synthesize a new element $Z=120$, we predicted evaporation four reaction systems $(^{54}\mathrm{Cr}+^{248}\mathrm{Cm},$...
Abstract License plate detection is an important task in Intelligent Transportation Systems (ITS) and has a wide range of applications vehicle management, traffic control, public safety. In order to improve the accuracy speed mobile recognition, improved lightweight YOLOv5s model proposed for license detection. First, Stemblock network used replace original Focus layer network, which ensures strong feature expression capability reduces large number parameters lower computational complexity;...
The essential part of Shack-Hartmann (SH) wavefront sensing is the fast and precise estimation spot displacement. We report a neuromorphic motion compensation technique to track SH spots directly from spatio-temporal event streams.
ABSTRACT Based on irreducible representations of generalized quaternion groups, closed‐form formulae Kirchhoff indices and resistance distances between vertex pairs Cayley graphs these groups are given.
Abstract The authors analyse the influence of reference sphere on test accuracy Ritchey–Common method during testing flat mirror surface. A simulation model is established to simulate different radii curvature system wavefront. Then, difference between surface result with error actual examined by this model. can be effectively improved eliminating sphere. When better than 0.01 λ , RMS within . R–C path built a 100 mm‐diameter surface, and its results are compared those without...
We demonstrate the utilization of computational neuromorphic imaging paradigm to acquire temporal diversity measurements, which proves advantageous in over-coming dynamic range limitations Shack-Hartmann wavefront sensors for ultra-fast large-gradient turbulence diagnosis.
Computational neuromorphic imaging (CNI) with event cameras offers advantages such as minimal motion blur and enhanced dynamic range, compared to conventional frame-based methods. Existing event-based radiance field rendering methods are built on neural field, which is computationally heavy slow in reconstruction speed. Motivated by the two aspects, we introduce Ev-GS, first CNI-informed scheme infer 3D Gaussian splatting from a monocular camera, enabling efficient novel view synthesis....
ABSTRACT The inversion of subsurface geological structures is a crucial approach for gaining insights into the internal composition earth. In this paper, we propose novel method combining nonsingular indirect boundary element (IBEM) with multistrategy particle swarm optimization (MSPSO) algorithm, tailored accurately inverting 3D cavities. Leveraging semi‐analytical nature IBEM offers advantages such as dimensionality reduction, automatic fulfillment radiation conditions at infinity, and...
Abstract Angle‐based wavefront sensing has a rich historical background in measuring optical aberrations. The Shack–Hartmann sensor is widely employed adaptive optics systems due to its high efficiency and robustness. However, simultaneously achieving sensitivity large dynamic range still challenging, limiting the performance of diagnosing fast‐changing turbulence. To overcome this limitation, angle‐based neuromorphic wave normal sensing, which serves as differentiable framework developed on...
Abstract Accurate prediction of milling energy consumption under tool wear can provide a realistic basis for timely adjustment process solution and replacement. However, complex machining characteristics lead to dynamic changes in parameters, resulting increased uncertainty deviation, which turn affects the accuracy prediction. Therefore, this paper proposes an method based on BI-SSA-OSELM online learning, considering wear. Firstly, mechanism is analyzed from point view material removal...
Abstract Smoking is one of the major contributors to airway injuries. N‐acetylcysteine (NAC) has been proposed as a treatment or preventive measure for such However, exact nature smoking‐induced injury and protective mechanism NAC are not yet fully understood. Here, patient tissue‐derived organoids modeling injury, therapeutic investigation, studies developed. Airway consist mainly ciliated cells, together with basal goblet myofibroblast‐like cells. The display apical‐out basal‐in polarity...
Abstract To enhance the accuracy of fine‐grained image classification and address challenges such as excessive interference factors within dataset, inadequate extraction local key features, insufficient channel semantic association, a dual‐branch information interaction model that integrates convolutional neural networks (CNN) with Vision Transformers is proposed. This leverages Transformer branch to extract global which are subsequently combined CNN further augment model's capability for...
Recent advancements in 3D Gaussian Splatting (3D-GS) have demonstrated the potential of using primitives for high-speed, high-fidelity, and cost-efficient novel view synthesis from continuously calibrated input views. However, conventional methods require high-frame-rate dense high-quality sharp images, which are time-consuming inefficient to capture, especially dynamic environments. Event cameras, with their high temporal resolution ability capture asynchronous brightness changes, offer a...
With the heavy urban traffic congestion, low-altitude resources, which have yet to be fully exploited, show great potential mitigate congestion problem on ground some extent. This paper investigates emerging mode of air mobility and focuses operational aspects taxis from perspective operators. Given characteristics inherent both taxi service traditional civil aviation, an scenario is established. encompasses a comprehensive consideration three pivotal facts: flight scheduling, fleet...