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28 results on '"Hu, Han-Ping"'

1. Modeling Collective Behavior of Posting Microblog by Stochastic Differential Equation with Jump

Author

Pan, Jun-Shan, Li, Yuan-Qi, Liu, Xiang, Hu, Han-Ping, and Hu, Yong

Subjects
Physics - Physics and Society, Computer Science - Social and Information Networks
Abstract

The characterization and understanding of online social network behavior is of importance from both the points of view of fundamental research and realistic utilization. In this manuscript, we propose a stochastic differential equation to describe the online microblogging behavior. Our analysis is based on the microblog data collected from Sina Weibo which is one of the most popular microblogging platforms in China. Especially, we focus on the collective nature of the microblogging behavior reflecting itself in the analyzed data as the characters of the periodic pattern, the stochastic fluctuation around the baseline, and the extraordinary jumps. Compared with existing works, we use in our model time dependent parameters to facilitate the periodic feature of the microblogging behavior and incorporate a compound Poisson process to describe the extraordinary spikes in the Sina Weibo volume. Such distinct merits lead to significant improvement in the prediction performance, thus justifying the validity of our model. This work may offer potential application in the future detection of the anomalous behavior in online social network platforms.

Published
2017

7. Fast stereo matching based on seed pixel propagation

Author

朱明 Zhu Ming and 胡汉平 Hu Han-ping

Subjects
Pixel, business.industry, Computer science, Stereo matching, Computer vision, Artificial intelligence, business, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials
Published
2015

8. Video stabilization with improved motion vector estimation

Author

雷艳敏 Lei Yan-min, 胡汉平 Hu Han-ping, 朱明 Zhu Ming, and 吉淑娇 Ji Shu-jiao

Subjects
Image stabilization, Estimation, Computer science, business.industry, Computer vision, Artificial intelligence, business, Motion vector, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials
Published
2015

21. Chaotic impulse synchronization of opto-electronic feedback

Author

Hu Han-Ping, Yu Zhi-Liang, and Liu Ling-Feng

Subjects
Nonlinear Sciences::Chaotic Dynamics, Computer science, Electronic engineering, Chaotic, General Physics and Astronomy, Opto electronic, Impulse (physics)
Abstract

In this paper, a chaotic impulse synchronization is proposed by using opti-electronic feedback. The laser chaos dynamical equations are numerically calculated, and the different chaotic states are obserred by modulating the coefficient of feedback or impulse which realizes the control of chaotic dynamics. Then, the impulse synchronization equations are numerically calculated, and the simulation image of synchronization is plotted. Experiments show the scheme can achieve the chaotic synchronization.

Published
2012

24. Network Traffic Anomaly Detection Method Based on a Feature of Catastrophe Theory

Author

Yang Yue, HU Han-Ping, Chen Jiang-Hang, and Xiong Wei

Subjects
Computer science, Feature (computer vision), Phase space, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, Control variable, General Physics and Astronomy, Anomaly detection, Catastrophe theory, Anomaly (physics), Traffic generation model, Algorithm, Constant false alarm rate
Abstract

For the existing problems of current network traffic anomaly detection, the behavior of the network traffic anomaly will show nonlinearity, non-stationarity and complexity according to the network traffic often driven by the control of multiple factors. Owing to the characteristic that the internal evolution equation will lead to dynamical structure catastrophe, the phase space reconstruction method and the statistical physics method can be used to compute the macro feature values of the network traffic. By choosing some of the feature values which can obviously reflect the unusual change in the network traffic volume as control variables, a network traffic anomaly detection method based on the catastrophe series theory model is developed. Many experimental results show that the proposed network traffic anomaly detection method has a low false alarm rate under the same condition of detection rate.

Published
2010

27. Dynamics Analysis of a New Fractional-Order Hopfield Neural Network with Delay and Its Generalized Projective Synchronization.

Author

Hu, Han-Ping, Wang, Jia-Kun, and Xie, Fei-Long

Subjects
*ARTIFICIAL neural networks, *LYAPUNOV exponents, *CHAOS synchronization, *BIFURCATION diagrams, *TIME delay systems
Abstract

In this paper, a new three-dimensional fractional-order Hopfield-type neural network with delay is proposed. The system has a unique equilibrium point at the origin, which is a saddle point with index two, hence unstable. Intermittent chaos is found in this system. The complex dynamics are analyzed both theoretically and numerically, including intermittent chaos, periodicity, and stability. Those phenomena are confirmed by phase portraits, bifurcation diagrams, and the Largest Lyapunov exponent. Furthermore, a synchronization method based on the state observer is proposed to synchronize a class of time-delayed fractional-order Hopfield-type neural networks. [ABSTRACT FROM AUTHOR]

Published
2019
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28. Research on Differential Evolution Algorithm for Path Planning for Unmanned Aerial Vehicle in Ocean Environment.

Author

Fu Yang-guang, Zhou Cheng-ping, and Hu Han-ping

Subjects
*DRONE aircraft, *DIFFERENTIAL evolution, *MATHEMATICAL models, *GENETIC algorithms, *PARTICLE swarm optimization
Abstract

To investigate the path of unmanned aerial vehicle (UA) in ocean environment, a method based on the differential evolution(DE) is proposed. It pretreats the planning environment and takes all islands as threatened areas, the path planning problem is simplified as a two-dimensional planning problem. A real number coding is used to represent the candidate paths, and a mathematical model of path cost is established. The performance of differential evolution algorithm is compared with that of genetic algorithm (GA) and particle swarm optimization ( PSO) in terms of path quality, robustness and convergence speed. The experimental results demonstrate that the proposed method is able to generate a safe and flyable path for UAV in a complex ocean environment. [ABSTRACT FROM AUTHOR]

Published
2012

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