- Evolutionary Game Theory and Cooperation
- Mathematical and Theoretical Epidemiology and Ecology Models
- Opinion Dynamics and Social Influence
- Theoretical and Computational Physics
- Medical Image Segmentation Techniques
- Complex Network Analysis Techniques
- Modular Robots and Swarm Intelligence
- Face recognition and analysis
- Nonlinear Dynamics and Pattern Formation
- Chalcogenide Semiconductor Thin Films
- Wireless Body Area Networks
- Advanced Materials and Mechanics
- Advanced Algorithms and Applications
- ECG Monitoring and Analysis
- Advanced Image and Video Retrieval Techniques
- Surface and Thin Film Phenomena
- Magnetic properties of thin films
- Image Retrieval and Classification Techniques
- Aluminum Alloy Microstructure Properties
- Diamond and Carbon-based Materials Research
- Evolution and Genetic Dynamics
- Face and Expression Recognition
- Sparse and Compressive Sensing Techniques
- Advanced Graph Neural Networks
- Ultrasonics and Acoustic Wave Propagation
Zhejiang University
2009-2024
Southeast University
2021-2024
China Electronics Technology Group Corporation
2021
Wuhan University
2017-2020
Henan Institute of Science and Technology
2020
Nanjing Tech University
2020
The Synergetic Innovation Center for Advanced Materials
2020
National University of Defense Technology
2018
Institute of Modern Physics
2009
FCM is used in many power load classification currently, but it also has some shortcomings. This paper give an algorithm based on Subtractive Clustering and improved Fuzzy C-means (SUB-FCM) to solve this problem. use subtractive clustering initialize the cluster center matrix, random initialization of FCM, improve global search ability, avoid falling into local optima. Experimental analysis found could accelerate convergence speed, better results. It can be applied effectively.
We proposed a contour co-tracking method for co-segmentation of image pairs based on active model. Our comprehensively re-models objects and backgrounds signified by level set functions, leverages Hellinger distance to measure the similarity between regions encoded probability distributions. The main contribution are as follows. 1) new energy functional, combining rewarding penalty term, relaxes assumptions methods. 2) distance, fulfilling triangle inequality, ensures coherence measurement...
Based on the Hamiltonian equation of motion $\phi^4$ theory with quenched disorder, we investigate depinning phase transition domain-wall in two-dimensional magnets. With short-time dynamic approach, numerically determine field, and static critical exponents. The results show that fundamental belongs to a universality class very different from those effective equations motion.
Thermoelectric materials are of great interest for heat energy harvesting applications. One such promising material is TlGaSe$_{2}$, a p-type semiconducting ternary chalcogenide. Recent reports show it can be processed as thin film, opening the door large-scale commercialization. However, TlGaSe$_{2}$ prone to stacking faults along [001] direction and their role in its thermoelectric properties has not been understood date. Herein, investigated via (scanning) transmission electron microscopy...
This paper studies the application of compressed sensing theory in speech signal sampling and reconstruction signals.According to sparsity signals discrete cosine transform basis (DCT), we propose a (CS) system based on DCT domain which realizes sparse representation domain.Utilizing Gauss random matrix as measurement orthogonal matching pursuit algorithm (OMP), performance is acquired.The simulation results show that higher OMP can effectively improves reconstructed signals.
Abstract At present, many judicial organs have adopted the daily attendance system based on face recognition to strengthen supervision of community correction personnels. In order prevent a few personnels from using pre-prepared photos and videos deceive system, this paper proposes an identity verification scheme with liveness detection dynamic combination multimodal features. The main idea is as follows. Firstly, during verification, user required read out random numbers screen. Secondly,...
With Monte Carlo methods, we simulate the critical domain-wall dynamics of model B, taking two-dimensional Ising as an example. In macroscopic short-time regime, a dynamic scaling form is revealed. Due to existence quasirandom walkers, magnetization shows intrinsic dependence on lattice size $L$. An exponent which governs $L$ measured be $\ensuremath{\sigma}=0.243(8)$.
Network is a powerful language to represent relational data. One way understand network analyze groups of nodes which share same properties or functions. The task discovering such known as community detection. detection in real-life networks, the majority are weighted temporal text confronted with two main problems - how model weight edges and exploit information. Existing works either ignore edge utilize it graph measures like modularity, lacks scalability. And currently common-used method...
A long-standing problem in biology, economics, and social sciences is to understand the conditions required for emergence maintenance of cooperation evolving populations. This paper investigates how promote evolution Prisoner’s Dilemma game (PDG). Differing from previous approaches, we not only propose a tag-based control (TBC) mechanism but also look at by TBC can be successfully promoted. The effect on evolutionary process shows that it both reduce payoff defectors inhibit defection;...
By using ab-initio-accurate force fields and molecular dynamics simulations we demonstrate that the layer stiffness has profound effects on superlubricant state of two-dimensional van der Waals heterostructures. These are engineered to have identical inter-layer sliding energy surfaces, but layers different rigidity, so microscopic friction in can be isolated. A twofold increase intra-layer reduces by approximately a factor six. Most importantly, find two regimes as function velocity. At low...