Feng Ying Wang

A Deep Web Data Extraction and Application System Based on Cloud Technology

There are so many Deep Webs in Internet, which contains a large amount of valuable data, This paper proposes a Deep Web data extraction and service system based on the principle of cloud technology. We adopt a kind of multi-node parallel computing system structure and design a task scheduling algorithm in the data extraction process, in above foundation, balance the task load of among nodes to accomplish data extraction rapidly; The experimental results show that cloud parallel computing and dispersed network resources are used to extract data in Deep Web system is valid and improves the data extraction efficiency of Deep Web and service quality.

An Overview of Collaborative Filtering Recommendation Algorithm

Recommendation algorithm is the most core and key point in recommender systems, and plays a decisive role in type and performance evaluation. At present collaborative filtering recommendation not only is the most widely useful and successful recommend technology, but also is a promotion for the study of the whole recommender systems. The research on the recommender systems is coming into a focus and critical problem at home and abroad. Firstly, the latest development and research in the collaborative filtering recommendation algorithm are introduced. Secondly, the primary idea and difficulties faced with the algorithm are explained in detail. Some classical solutions are used to deal with the problems such as data sparseness, cold start and augmentability. Thirdly, the particular evaluation method of the algorithm is put forward and the developments of collaborative filtering algorithm are prospected.

Observer-Based Synchronization of Switched Chaotic Systems

This paper presents a control scheme for the synchronization of switched chaotic systems. The general case that the error state information between master and slave chaotic systems is not available for design the controller, an adaptive observer-based error system is constructed and the controller is designed. Utilizing common Lyapunov function method, a synchronization criterion is given. Simulation shows the effectiveness and efficiency of the proposed scheme.

A Numerical Computational Method for Image Zooming

In this paper, we make use of the integral method which is commonly used in partial differential equations to get the difference scheme on five points, and then construct an anisotropic diffusion model based on the partial differential equation. The numerical experimental results show the diffusion model can effectively magnify the image, and can keep the edge character and details of the image. It is proved that the numerical computational method proposed for solving the model is very effective.

Two Partitioning Algorithms for Generating of M Sets of the Frieze Group

Symmetric features of the frieze group equivalent mappings were analysed, and two partitioning algorithms are given for constructing generalized Mandelbrot sets of frieze group equivalent mappings in order to study the characteristics of generalized Msets. Based on generating parameter space of dynamical system, lots of patterns of generalized Mandelbrot sets are produced.

An H_Infinity Approach to Synchronization of Chaotic Systems

In this paper, a new adaptive approach for H_infinity synchronization of a general class of chaotic systems. Based on adaptive control theory and Lyapunov function method, An adaptive controller is constructed, the H_infinity synchronization controller is presented to not only guarantee stable synchronization but also reduce the effect of external disturbance to an H_infinity norm constraint. The results of simulation are given to show effectiveness of the proposed method.

The Construction for Generalized Mandelbrot Sets of the Frieze Group

By an analysis of symmetric features of equivalent mappings of the frieze group, a definition of their generalized Mandelbrot sets is given and a novel method for constructing generalized Mandelbrot sets of equivalent mappings of frieze group is presented via utilizing the Ljapunov exponent as the judgment standard. Based on generating parameter space of dynamical system, lots of patterns of generalized Mandelbrot sets are produced.

Adaptive Switching Control for Projected Synchronization of Chaotic Systems with Uncertainties

This paper is concerned with the projective synchronization problem for a class of chaotic system with uncertainties. By utilizing single Lyapunov function method, an adaptive switching control scheme for the synchronization has been presented. Simulation examples, the chaotic Liu system are given to show the feasibility and effectiveness of the proposed theory and method.

Adaptive Modified Projective Synchronization Between Genesio and Rossler Chaotic Systems with Uncertainties

The paper discusses the modified projective synchronization of two different chaotic systems by nonlinear control laws, considering the conditions of the master-slave systems with uncertain parameters, the synchronization problem between Genesio system and Rossler system has been investigated, adopting the adaptive control method, a sufficient condition is attainted for the modified projective synchronization between master and slave system, finally, The control performances are verified by the numerical examples.

Adaptive Synchronization for a Class of Switched Chaotic Systems with Uncertainty

In this paper, a new adaptive control strategy for synchronization of switched chaotic systems with uncertainties is developed. Using adaptive control theory and common Lyapunov function method, An adaptive controller is constructed, and a sufficient condition is attainted for the stability of the error dynamic between drive and response switched chaotic systems with uncertainty under arbitrary switching. The results of simulation are given to show effectiveness of the proposed method.