A5100395052- Complex Systems and Time Series Analysis
- Machine Fault Diagnosis Techniques
- Orbital Angular Momentum in Optics
- Financial Risk and Volatility Modeling
- Radar Systems and Signal Processing
- Power Transformer Diagnostics and Insulation
- Advanced Sensor and Control Systems
- Chaos control and synchronization
- Quantum Chromodynamics and Particle Interactions
- Advanced Algorithms and Applications
- Underwater Acoustics Research
- Fault Detection and Control Systems
- Particle physics theoretical and experimental studies
- Mechanical and Optical Resonators
- Force Microscopy Techniques and Applications
- Optical Wireless Communication Technologies
- High-Energy Particle Collisions Research
- Target Tracking and Data Fusion in Sensor Networks
- Industrial Technology and Control Systems
- Robotics and Sensor-Based Localization
- Optical Polarization and Ellipsometry
- Digital Holography and Microscopy
- Characterization and Applications of Magnetic Nanoparticles
- Social Media and Politics
- Radio Astronomy Observations and Technology
Changzhou University
2021-2024
Nanjing University of Information Science and Technology
2009-2023
Hohai University
2019-2022
Wayne State University
2019
Yangtze University
2015-2018
National Astronomical Observatories
2017
Chinese Academy of Sciences
2017
Central China Normal University
2015
University of Southern California
2012-2015
Beijing University of Technology
2013
A stochastic-parallel-gradient-descent algorithm (SPGD) based on Zernike polynomials is proposed to generate the phase correction pattern for a distorted orbital angular momentum (OAM) beam. The Zernike-polynomial coefficients are obtained by monitoring intensity profile of OAM beam through an iteration-based feedback loop. We implement this scheme and experimentally show that approach improves quality turbulence-distorted Moreover, we apply patterns derived from probe emulated turbulence...
We present a tunable mode filter for spatially multiplexed laser beams carrying orbital angular momentum (OAM). The comprises an optical geometric transformation-based OAM sorter and spatial light modulator (SLM). programmable SLM can selectively control the passing/blocking of each input beam. experimentally demonstrate filtering one or multiple modes from four with vortex charge ℓ=−9, −4, +4, +9. measured output power suppression ratio propagated to blocked exceeds...
The Gerchberg-Saxton algorithm based phase retrieval technique is used to correct the wavefront of distorted OAM modes. simulation results show that this method can efficiently improve mode purity modes up 50% and reduce crosstalk by about 20 dB.
We discuss the generation of strong stationary mechanical squeezing and entanglement in modulated two-and three-mode optomechanics. Following reservoir engineering scheme, beam-splitter parametric optomechanical interactions can be simultaneously achieved through appropriately choosing modulation frequency on motion, which is essential to entanglement. In two-mode optomechanics, tunable by relative ratio couplings, also robust thermal noise due optically induced cooling process. EPR-type...
Abstract In this work, we investigate six helicity amplitudes of the four-body $$B_{(s)} \rightarrow (\pi \pi )(K\bar{K})$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msub> <mml:mi>B</mml:mi> <mml:mo>(</mml:mo> <mml:mi>s</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> </mml:msub> <mml:mo>→</mml:mo> <mml:mi>π</mml:mi> <mml:mi>K</mml:mi> <mml:mover> <mml:mo>¯</mml:mo> </mml:mover> </mml:math> decays via an angular analysis in perturbative QCD (PQCD) approach. The $$\pi...
Weak signal detection has always been a hot spot in the processing field. In this paper, chaotic and large data size characteristics of sea clutter are analyzed, advantage Long Short Term Memory network (LSTM) is taken to design weak method based on deep learning. The reconstructed phase space used as input LSTM network, length training determined by embedding dimension delay time, prediction model established detect signals from error. order improve performance, reduce missing rate learning...
Abstract The effects of strange quark mass on masses, radii, and tidal deformabilities stars are studied via the quasiparticle model that includes non-perturbative features QCD in low density region. constraints $$M_{\mathrm {TOV}} > 2.0 M_{\odot }$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msub> <mml:mi>M</mml:mi> <mml:mi>TOV</mml:mi> </mml:msub> <mml:mo>></mml:mo> <mml:mn>2.0</mml:mn> <mml:mo>⊙</mml:mo> </mml:mrow> </mml:math> $$\Lambda _{1.4} <...
A diagnosis scheme using the Hurst exponent for metal particle faults in GIL/GIS is proposed to improve accuracy of classification and identification. First, source signal vibration generated by collision particles electric field. Then, processed via variational mode decomposition (VMD) based on swarm optimization with adaptive parameter adjustment (APA-PSO). In end, fault types are classified identified an SVM model, whose feature vector composed exponents each intrinsic function (IMF-H)....
In order to detect low‐flying small targets in complex sea condition effectively, we study the chaotic characteristic of clutter, use joint algorithm combined complete ensemble empirical mode decomposition (CEEMD) with wavelet transform de‐noise, and put forward a detection method for target under clutter background based on Volterra filter. By CEEMD method, signal which contains can be decomposed into series intrinsic function (IMF) components, pick out high‐frequency components contain...
In order for the detection ability of floating small targets in sea clutter to be improved, on basis complete ensemble empirical mode decomposition (CEEMD) algorithm, high-frequency parts and low-frequency are determined by energy proportion intrinsic function (IMF); part is denoised wavelet packet transform (WPT), whereas IMFs reconstruct pure signal together. According chaotic characteristics clutter, we proposed an adaptive training timesteps strategy. The network were width embedded...
Abstract Multi-source information fusion diagnosis is usually more reliable than fault with a single source employed. However, results may be absurd when fusing highly conflicting information. To address this problem, the Dempster–Shafer (DS) evidence theory updated by weighting each piece of according to corresponding contribution decision, and novel method based on multi-source conflict proposed. First, basic probability assignment sensor given introducing feature parameters...
In this paper, we employ multifractal detrended cross-correlation analysis (MF-DCCA) to study the between closing price and trading volume characteristics of relationship. The results show that price, price–volume in rebar futures market have significant features. We find are derived from long-term correlation fat-tailed distribution. However, MF-DCCA cannot be used explore under different trends (upwards or downwards). Therefore, further adopt asymmetric (MF-ADCCA) cross-correlation....
Abstract In this work, we make a systematical study on the four-body $$B_{(s)} \rightarrow (\pi \pi )(\pi )$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msub> <mml:mi>B</mml:mi> <mml:mo>(</mml:mo> <mml:mi>s</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> </mml:msub> <mml:mo>→</mml:mo> <mml:mi>π</mml:mi> </mml:math> decays in perturbative QCD (PQCD) approach, where $$\pi $$ invariant mass spectra are dominated by vector resonance $$\rho (770)$$ <mml:mi>ρ</mml:mi>...
We propose a new method for sampling the rotation group that involves decomposing it into identical Voronoi cells centered on rotational symmetry operations of Platonic solids. Within each cell, Cartesian grids in exponential coordinates are used to achieve almost-uniform at any level resolution, without having store large numbers coordinates, and requiring sophisticated data structures. analyze shape these cells, explain how this can be context conformational searches fields Robotics...
In this study, we analyzed daily records of newly diagnosed cases in Wuhan, Hubei excluding Wuhan (HEW), and China (CEH) to investigate the impact new coronavirus outbreak on cities around it throughout China. We used multifractal detrended cross-correlation analysis (MF-DXA) method correlations between number patients HEW as well CEH. concluded that cross-correlations were higher than those CEH because features are greater also found “Wuhan closure” conducted January 23 resulted a decrease
The rotation group and special Euclidean both contain discrete subgroups. In the case of group, these subgroups are chiral point groups, in crystallographic space groups. Taking quotients either two Lie groups by any their respective co-compact results coset spaces that compact orientable manifolds. this paper we develop methods for sampling on manifolds partitioning them further using double-coset decompositions. Fundamental domains associated with aforementioned coset- decompositions can...
Skin cancer is a common human malignant tumor and melanoma one of the most fatal diseases in skin cancer. There exists high degree visual similarity between non-melanoma. In addition, acquisition labeling images need relevant medical knowledge, therefore, it difficult to obtain natural images. These problems make distinguish How extract high-dimensional features main problem improve classification performance For this purpose, we propose new computer-aided system with two-dimensional (2D)...
In this paper, we explored the price-volume cross-correlation asymmetric multifractal properties of some cryptocurrencies using detrended analysis (MF-ADCCA). Bitcoin, Ethereum, Tether, Binance Coin, Cardano, and Dogecoin are examples cryptocurrencies. The empirical results reveal that cross-correlations all six display anti-persistent, multifractal, features, although degree these characteristics differs depending on market trends. Specifically, anti-persistence is significantly stronger in...
Electrostatic detection signals are often corrupted by high frequency noise, power line interference and zero excursion. In order to extract identify the characteristic points of electrostatic signal correctly, an algorithm combining empirical mode decomposition (EMD) wavelet threshold de-noising was proposed. Based on analysis EMD results, this method applied several intrinsic functions (IMFs) recovered de-noised IMFs. Experiments with different noise parameters were carried out evaluate...
Abstract It is well known that the energy for solar eruptions comes from magnetic fields in active regions. Magnetic storage and dissipation are regarded as important physical processes corona. With incomplete theoretical modeling atmosphere, activity forecasting mainly supported with statistical models. Solar observations high temporal spatial resolution continuously space describe evolution of activities combined three dimensional reconstruction fields, makes numerical short-term (within...