- Plasmonic and Surface Plasmon Research
- Acoustic Wave Phenomena Research
- Gold and Silver Nanoparticles Synthesis and Applications
- Vibration and Dynamic Analysis
- Vibration Control and Rheological Fluids
- Robotic Path Planning Algorithms
- Composite Structure Analysis and Optimization
- Thin-Film Transistor Technologies
- Silicon Nanostructures and Photoluminescence
- Power Systems Fault Detection
- Heat Transfer and Optimization
- Nanowire Synthesis and Applications
- Thermal Radiation and Cooling Technologies
- Dynamics and Control of Mechanical Systems
- Smart Grid Security and Resilience
- Robotics and Sensor-Based Localization
- Geophysical Methods and Applications
- Near-Field Optical Microscopy
- Cellular and Composite Structures
- Advanced Sensor and Control Systems
- Refrigeration and Air Conditioning Technologies
- Cloud Data Security Solutions
- Space Satellite Systems and Control
- Modular Robots and Swarm Intelligence
- Muscle activation and electromyography studies
Beijing University of Civil Engineering and Architecture
2024-2025
State Key Laboratory of Vehicle NVH and Safety Technology
2024
Chongqing University
2024
Southeast University
2024
Purple Mountain Laboratories
2024
Chengdu University of Technology
2023
Northeastern University
2023
China Academy of Space Technology
2023
Tongji University
2023
Hebei University of Technology
2023
Path planning is a global optimization problem aims to program the optimal flight path for Unmanned Aerial Vehicle (UAV) that has short length and suffers from low threat. In this paper, we present Mixed-Strategy based Gravitational Search Algorithm (MSGSA) planning. MSGSA, an adaptive adjustment strategy gravitational constant attenuation factor alpha ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math...
Significantly enhanced electric field in plasmonic hot spots can dramatically increase the linear and nonlinear absorption of light, leading to a high-temperature electron gas which radiates, through mainly intraband transition, broadband luminescence quite similar blackbody radiation. Here, we demonstrate that such hot-electron (HEIL) also be achieved by exploiting significantly at magnetic dipole resonances gallium arsenide (GaAs) nanospheres (NSs). We show monocrystalline GaAs NSs with...
In an era marked by rapid advancements in information technology, the task of risk assessment for data security within complex infrastructure power grid has become increasingly vital. This paper introduces a novel methodology dynamic, scenario-adaptive assessment, specifically designed to address entire lifecycle data. Integrating hierarchical analysis with fuzzy comprehensive evaluation, our approach provides flexible and robust framework assessing managing risks various scenarios. method...
Abstract Artificial control of colors based on plasmonic and dielectric nanostructures is not only interesting for fundamental research, but also important practical applications. Apart from spatial resolution, chromaticity, angular independence, dynamical color‐tuning have emerged as the most desirable functions structural color. Here, it shown theoretically that orientations electric or magnetic dipoles induced in a silicon nanoparticle can be manipulated by using an evanescent wave...
Abstract Gallium (Ga) is not only a metal possessing surface plasmon resonance in the ultraviolet region but also phase‐change material with very low melting point. Spherical Ga nanoparticles composed of liquid cores and solid 2 O 3 shells, which exhibit plasmonic resonances spanning to near‐infrared spectral region, are fabricated by using femtosecond laser ablation. Under excitation light, second harmonic generation observed nanospheres placed on glass substrate. In sharp contrast, white...
Incipient faults in underground cables would repeatedly occur until they evolve into permanent faults. Detection of incipient can determine the status cable insulation and provide an early warning before breakdown cables. The characteristics traveling waves are analyzed modal domain, theoretical analysis shows that sum sheath currents be used to detect Both over-current wavelet transform modulus maximum single-end examined fault. After fault is detected, faulty phase selected according...
The artificial bee colony (ABC) intelligence algorithm is widely applied to solve multi-variable function optimization problems.In order accurately identify the parameters of surface-mounted permanent magnet synchronous motor (SPMSM), this paper proposes an improved ABC method based on vector control multi-parameter identification problem PMSM.Because shortcomings existing parameter algorithms, such as high computational complexity and data saturation, for PMSM first time.In further improve...
Abstract To address the current problem of unsatisfactory localization and map building an intelligent picking robot mobile platform in unstructured environment, a multi-sensor fusion method is proposed to fuse visual odometer position estimation results with IMU wheel odometer. And pre-fusion processing data solve large errors odometers on uneven ground. The scheme vision laser SLAM methods build more information-rich point cloud raster for non-closure caused by sparse branches....
This paper proposes to monitor and recognize the fatigue state during football training by analyzing surface electromyography (EMG) signals. The signal is closely connected with sports training. First, power frequency interference, motion artifacts, baseline drift in are removed; second, authors extract 6 features: rectified average value (ARV), integrated myoelectric (IEMG), root mean square of (RMS), median (MF), (MPF), (TP) represent signal; lastly, extracted features input into a...
Space debris detection is important for space asset protection and situational awareness. The current environment of man-made satellites objects in Earth orbits increases rapidly, so does the probability collision between them. In this paper, we propose a method based on image alignment connected region analysis. First, median filter an improved top-hat are used pre-process original images, which can eliminate thermal noises improve optical distribution integrity targets. Second, feasible...
The 1$^{\text{st}}$ Workshop on Maritime Computer Vision (MaCVi) 2023 focused maritime computer vision for Unmanned Aerial Vehicles (UAV) and Surface Vehicle (USV), organized several subchallenges in this domain: (i) UAV-based Object Detection, (ii) Tracking, (iii) USV-based Obstacle Segmentation (iv) Detection. were based the SeaDronesSee MODS benchmarks. This report summarizes main findings of individual introduces a new benchmark, called Detection v2, which extends previous benchmark by...
The dynamics and vibration reduction characteristics of the hinged sandwich beams with clearance fixed at both ends is studied theoretically experimentally. A transverse torsional spring system used to equivalent joint model. homogenization method core layer Rayleigh-Ritz utilized derive mode function interconnected beam by using a sequence orthogonal polynomials. nonlinear motion equation two jointed structure derived application Hamilton principle then solved an improved Newmark...
Brain decoding, which aims at reconstructing visual stimuli from brain signals, primarily utilizing functional magnetic resonance imaging (fMRI), has recently made positive progress. However, it is impeded by significant challenges such as the difficulty of acquiring fMRI-image pairs and variability individuals, etc. Most methods have to adopt per-subject-per-model paradigm, greatly limiting their applications. To alleviate this problem, we introduce a new meaningful task, few-shot while...
Abstract Prismatic lithium-ion batteries (LIBs) are becoming the most prevalent battery type in electric vehicles, and their mechanical safety is garnering increased attention. Understanding response internal short circuit (ISC) of prismatic LIBs during dynamic impact important for enhancing reliability vehicles. Thanks to pioneer's works on cylindrical pouch LIB, LIB can draw relevant experimental numerical modeling methods. However, there still a lack research effects various loading...
Aiming at some inefficient and difficult classification problems caused by the difficulty of determining parameters in data-driven bearing fault image classification, a method based on BOA ResNet-18 is proposed. Firstly, original vibration signal data added to noise converted into an processing such as two-dimensional wavelet transform for preprocessing, corresponding target set collected. Then, network model that has optimized group optimization algorithm trained fine-tuned generated...