A5071548565- Acoustic Wave Phenomena Research
- Cellular and Composite Structures
- Image Enhancement Techniques
- Advanced Vision and Imaging
- Image and Signal Denoising Methods
- MXene and MAX Phase Materials
- Advanced Sensor and Energy Harvesting Materials
- Sparse and Compressive Sensing Techniques
- Advanced Memory and Neural Computing
- Image Processing Techniques and Applications
- Semiconductor Lasers and Optical Devices
- Orbital Angular Momentum in Optics
- Advanced Image Processing Techniques
- Spectroscopy and Laser Applications
- Vibration Control and Rheological Fluids
- Biometric Identification and Security
- Assembly Line Balancing Optimization
- Nanomaterials and Printing Technologies
- Optical measurement and interference techniques
- Aerodynamics and Acoustics in Jet Flows
- Nonlinear Photonic Systems
- Wood and Agarwood Research
- Reinforcement Learning in Robotics
- Organic Light-Emitting Diodes Research
- Automotive and Human Injury Biomechanics
Zhejiang University
2001-2025
Henan Polytechnic University
2022-2023
Wuhan Institute of Technology
2020-2022
Hohai University
2017-2021
Silver nanowires for flexible organic electronics have been comprehensively summarized from synthesis, film fabrication, characterization and applications to perspectives.
The very recent development and progress of 2D MXenes are summarized from the preparation, intercalation delamination to potential applications in flexible devices, indicating future directions MXenes.
The advantage of mechanical metamaterials is that the properties can be improved at macro level through reasonable artificial design micro level. Mechanical are applied to solve problems vibration and noise in engineering applications. In this paper, a creative chiral star-shaped compositive metamaterial (CSCMM) proposed by combining lattice structure honeycomb. generation mechanism bandgap impaction structural parameters studied obtain low-frequency single-phase materials. On basis,...
MXenes have shown potential applications in electrochemical energy storage due to their high electrical conductivity, pseudocapcitance, and two-dimensional layered structures with a regulatable interlayer spacing. The intercalation strategy is generally supplementary even indispensable process for high-quality MXenes, it can greatly influence the properties of MXenes. Here, we applied four universal intercalants adjust spacing, among which tetrabutylammonium hydroxide (TBAOH) resulted...
This paper addresses the optimization of scheduling for workers at a logistics depot using combination genetic algorithm and simulated annealing algorithm. The efficient permanent temporary is crucial optimizing efficiency while minimizing labor usage. study begins by establishing 0-1 integer linear programming model, with decision variables determining each time slot on given day. objective function aims to minimize person-days, constraints ensure fulfillment hourly requirements, limit one...
Regulated cell death and xenophagy constitute fundamental cellular mechanisms against invading microorganisms. Staphylococcus aureus, a notorious pathogen, can invade persist within host cells for extended periods. Here, we describe novel mechanism by which S. aureus subverts these defenses through the manipulation of CASP8 (caspase 8) signaling pathway. Upon invasion, triggers assembly RIPK3 (receptor interacting serine/threonine kinase 3) complex to induce autoprocessing. However,...
In order to achieve the dual needs of single-phase vibration reduction and lightweight, a square honeycomb acoustic metamaterials with local resonant Archimedean spirals (SHAMLRAS) is proposed. The independent geometry parameters SHAMLRAS structures are acquired by changing spiral control equation. mechanism low-frequency bandgap generation directional attenuation in-plane elastic waves both explored through mode shapes, dispersion surfaces, group velocities. Meanwhile, effect arrangement...
Detecting the threats of external obstacles to power lines can ensure stability system. Inspired by attention mechanism and binocular vision human visual system, an intelligent line inspection system is presented in this paper. Human used detect track image sequences according shape information lines, model calculate 3D coordinate lines. In order improve real time accuracy we propose a new matching strategy based on traditional SURF algorithm. The experimental results show that able...
Palm vein recognition technology is an advanced technology. It has high security and degree of user acceptance. In this paper, a novel online biometric identification system based on palm proposed. The characteristics extraction algorithm image two dimensional Fisher linear discriminant (2DFLD). This paper puts forward that projecting the matrix 2DFLD directly, then calculate Euclidean distance projection matrix, classification most recent distance. We finished experiment our own database....
Stereo matching is a vital requirement for many applications, such as three-dimensional (3-D) reconstruction, robot navigation, object detection, and industrial measurement. To improve the practicability of stereo matching, method using census cost over cross window segmentation-based disparity refinement proposed. First, obtained distance difference intensity similarity in binocular images. Census color are combined cost, which aggregated by guided filter. Then, winner-takes-all strategy...
To better monitor the state of isolating switches, an efficient binocular vision-based measurement system is proposed in this article. Two optimal cameras are selected as vision our inspection system. Firstly, stereo calibration and distortion rectification performed on acquired image pair. Secondly, to recover three-dimensional information switch, we propose a semi-global matching method by using data- structure-driven cost volume fusion then optimizing raw disparity map with weighted- edge...
Palm vein identification is a novel biometric technology. has high security and very convenient for the user. Many users like this kind of which only use their hands. However, NIR light scattering in skin difference from different time capture, recognition performance not perfect. This paper proposes algorithm based on partial least squares to extract some directions compose classify subspace. The direction change obviously gray level maximum relationship with classical information....
In stereo matching, energy-minimization optimizers such as dynamic programming (DP) could achieve efficient disparity estimation. However, DP-based still suffer from relatively high energy due to too many artificial penalty parameters and a complex function, inevitably leading matching failure in depth discontinuities, occlusions, low-textured regions. To reach dense high-accuracy estimation, we propose an effective stereo-matching method using texture discrimination-enforced cost...
Based on the hexagonal honeycomb structure and tri-ligament chiral structure, this paper proposes a hybrid material with low-frequency elastic wave suppression below 100[Formula: see text]Hz. finite element method Bloch’s theorem, energy band was calculated, formation of gap wave-propagation properties were carefully studied, attenuation performance composite simulated, influence geometric parameters width position band-gap distribution discussed. The results show that can generate good in...
The key to construct a decision tree is depending on how select the split-attributes. This article presents an improved method which uses principal component analysis consider comprehensive standard based coordination degree and Gini-coefficient overcome flaw of ID3 algorithm that tended choose attributes had more values when chose arithmetic enhances effect classification as experiment show. A final discussion argues for utility this about other aspect.
Image non-blind deblurring is still an ill-posed problem. Uncertainty in solutions occurs when singular vectors of forward model matrix spanning the noise subspace have rather small values. This letter proposes a new image algorithm, called MNBC-Gibbs (multiple norms and boundary constraint enforced Gibbs sampling). To be more specific, quadratic sparseness-inducing are combined to construct regularization term, objective function gradually minimized without requirement parameter choice. In...
Flash Radiography inspections stand to gain from inversion infer density distribution of object based on X-ray transmission image. It is indispensable be able reliably provide uncertainties associated with the inversions. Although many algorithms have been devised, they often perform poorly due either their sensitivity regularization parameter chosen in variational optimization or prohibitive computation and noisy results stochastic simulation. In this paper, we present a gradual...
Abstract The quality of high energy flash X‐ray images is crucial to the high‐precision diagnosis object density. High radiography susceptible system blur, which usually causes poor static images. In response this, a novel restoration algorithm using region extrema and kernel optimization (REKO) presented. Based on observation that distribution blurred deviates from opposite ends image grey domain, sparseness‐inducing prior for regularizing applied construct model. Considering sparse...
One of the most efficient ways for a learning-based robotic arm to learn process complex tasks as human, is directly from observing how human complete those tasks, and then imitate. Our idea based on success Deep Q-Learning (DQN) algorithm according reinforcement learning, extend Deterministic Policy Gradient (DDPG) algorithm. We developed method, combining modified DDPG visual imitation network. approach acquires frames only monocular camera, no need either construct 3D environment or...