- Chaos control and synchronization
- Chaos-based Image/Signal Encryption
- Remote-Sensing Image Classification
- Image Processing Techniques and Applications
- Image Retrieval and Classification Techniques
- Optical measurement and interference techniques
- Simulation and Modeling Applications
- Advanced Image and Video Retrieval Techniques
- Manufacturing Process and Optimization
- Energy Efficient Wireless Sensor Networks
- Quantum chaos and dynamical systems
- Mineral Processing and Grinding
- Differential Equations and Numerical Methods
- Evaluation and Optimization Models
- Neural Networks and Applications
- Adaptive Control of Nonlinear Systems
- Spectral Theory in Mathematical Physics
- Advanced Data Processing Techniques
- Machine Learning and ELM
- Intraocular Surgery and Lenses
- Opportunistic and Delay-Tolerant Networks
- Civil and Geotechnical Engineering Research
- Nonlinear Differential Equations Analysis
- Energy Harvesting in Wireless Networks
- Adaptive Dynamic Programming Control
Hunan Institute of Engineering
2024-2025
Nanjing University of Science and Technology
2020-2024
Heze University
2024
Central South University
2011-2021
Dalian Jiaotong University
2019-2020
Xi'an Jiaotong University
2013-2018
Institute of Crop Science
2016
Chinese Academy of Agricultural Sciences
2016
Chongqing University of Technology
2009
Peking University
2008
Energy efficiency is one of the critical challenges in wireless sensor networks (WSNs). WSNs collect and transmit data through nodes. However, energy carried by nodes limited. The need to save as much possible prolong network lifetime. This paper proposes a game theory-based energy-efficient clustering algorithm (GEC) for networks, where each node regarded player game. According length idle listening time active state, can adopt favorable strategies itself, then decide whether sleep or not....
A robust coarse-to-fine registration method based on the backpropagation (BP) neural network and shift window technology is proposed in this study. Specifically, there are three steps: coarse alignment between model data measured data, simplification BP point reservation contour region of clouds, fine with reweighted iterative closest algorithm. In process rough alignment, initial rotation matrix translation vector two datasets obtained. After performing subsequent operations, number points...
This paper presents a novel three-dimensional hyperchaotic map with the spherical attractor. The typical dynamic properties of new chaotic system are evaluated by attractor diagrams, Lyapunov exponent (LE), bifurcations and permutation entropy (PE) complexity. results show that it has rich dynamical behaviors, including hyperchaos, large bifurcations. There also some unusual features, such as coexisting attractors plane equilibrium. To improve its performance, we extend space adding...
A new higher-dimensional hyperchaotic map, named Sine Chebyshev modulation map (SCMM), is proposed based on the closed-loop coupling (CMC) model. The dynamics of SCMM are evaluated by attractor diagrams, Lyapunov exponents and bifurcations. By designing a piecewise-linear function, expanded to grid multi-cavity form. Dynamical behaviors two-dimensional then analyzed. results show that it has rich dynamical characteristics, including complicated phase space trajectories, behaviors, large...
Many methods have been developed to improve the performance of image registration. In this letter, we introduce a novel method based on local affine constraint for remote sensing registration, which can be widely used in processing and pattern recognition. Our algorithm has three components. First, exploit scale invariant feature transform (SIFT) extract points calculate gradient magnitude establish descriptors with circular instead square neighborhood. Second, an initial matching is...
Abstract This paper studies the finite time stabilization control (FTSC) problem of nonlinear systems with unknown functions and full‐state constraints (FSCs). A lemma dealing is put forward so that assumptions “explosion terms” (EOT) backstepping are avoided. Compared approximation algorithms, this algorithm can make system states converge to origin in a time. On other hand, new logarithmic constraint function utilized solve drawback barrier Lyapunov (BLFs). Then, combined (FTC), an FTSC...
<title>Abstract</title> To address the high cost problem of manual annotation remote sensing data and negative migration caused by feature distribution discrepancy between different domains, in this paper, a novel deep adversarial domain adaptive method based on attention classifier-constrainted strategy for image classification is proposed.Firstly, various migratability differernt regions, corresponding low regions will cause during training process, new mixed mechanism given so that...
With mining depth and state-wide expansion in open pit mining, it is necessary to bulid a three-dimensional visual model of boundary, which can be used the analysis slope stability, engineering decisions, geological production planning. In this paper, three-dimensionla reflecting complex formation load terrain conditions was built by collecting original design data. model, stability obtained theoretical basis for selection provided. specific prcess modelling, information existing CAD...
Purpose The purpose of this paper is to develop a method for the existence, uniqueness and globally robust stability equilibrium point Cohen–Grossberg neural networks with time-varying delays, continuous distributed delays kind discontinuous activation functions. Design/methodology/approach Based on Leray–Schauder alternative theorem chain rule, by using novel integral inequality dealing monotone non-decreasing function, authors obtain delay-dependent sufficient condition less...
The instability identification of goaf risky is an important work in the mine engineering. Based on distance discriminant analysis, a method to identify mines was presented this paper. Nine factors influencing stability risky, including uniaxial compressive strength rock, elastic modulus rock quality designation (RQD), area ration pillar, ratio width height depth ore body, volume goaf, dip body and were selected as indexes analysis goaf. actual data 40 goafs used training samples establish...
Summary In recent trends, wireless sensor network (WSN) is often used in harsh environments. When WSNs work, they need to deploy a large number of nodes the monitoring area. Due limited resources carried by nodes, process WSN will be energy nodes. An energy‐efficient clustering algorithm combining interval type‐2 fuzzy logic and dual‐super‐cluster‐head (IT2FL‐DSCH) mechanism proposed, aiming at reducing balancing consumption Considering four parameters, that is, cluster heads' (CHs') battery...
According to the uncertainty showed on arrival and service of trucks at railway container terminal's gate combining traditional queue system with fuzzy set theory, authors proposed a model optimize vehicle lanes based queuing mode. The study also tested its feasibility validity by case studies. result shows that theory can be extended environment, make it more realistic.
Objective To evaluate extremely high myopia patients before operations on how to define their intraocular lens(IOL)degrees can acquire the ideal refraction after operation.Method phacomulsification with IOL implantation was performed 58 cases(94眼)with myopia(axial length≥28 mm)merging cataract,a super voice emulsifying sufferer of surgical operation will proceed review and analvsis followed by visits.Result postoperatively,the uncorrected corrected visual cuities were 0.5 or better,which...
This paper investigates the quartic non-diagonal algebraic Hermite-Padé approximation to exponential function. Explicit formulas and differential equations are obtained for polynomial coefficients. An exact asymptotic expression is error As an application, a class of local analytical difference schemes based on Padé diffusion-convection equation with constant coefficients proposed. A numerical example provided demonstrate effectiveness theoretical results.