Li Ming Du

A New Improved Data Acquisition System for Electrical Capacitance Tomography

To improve the precision and speed of the system, a new 16-electrode electrical capacitance tomography (ECT) system based on DSP was designed. The measure system adopts 16 electrodes combined and floating capacitance sensor array, and with the phase located loop circuit to eliminate ECT systems additional phase error. The digital signal processor (DSP) is the core of data acquisition system, the computing and control unit includes a DSP (TMS320C5416) and a complex programmable logic device (CPLD). The communication module of the designed system is developed based on HPI parallel transmission technology, which can implement high-speed communication between ECT system and PC. Simulation results show that the sensitivity distribution was more uniform and the reconstructed images for objects were improved obviously by using 16-combined and floating electrodes sensor.

Domain-oriented Entity Set Extension Based on Bipartite Graph

This paper mainly studies the problem of entity set extension in domain data. On the basis of bipartite graph methods, given an improved algorithm which consider the general case that the edges of the graph have different weights. The designed algorithm can dynamically adjusts the the size of the entity extension sets in the given number of initial iterations, and when the number of iterations exceeds the threshold, the size of the entity extension sets remains unchanged, which can reflect the actual situation more accurately. Finally, the effectiveness of the algorithm is verified by experiments.

Domain Topic and Hidden Deep Web Data Extracting

This paper mainly studies the method of extracting web data entities based on domain. Through the analysis of real estate industry websites, a topic-oriented topic extracting model is proposed, and the corresponding search strategy is given. In addition, for the case of depth information, a sorting-based classification extraction algorithm is designed for numerical data. Finally, an experimental example is given to verify the effectiveness of the algorithm. Introduction With the development of human society, peoples demand for information interaction is increasing, and the Internet has emerged [1]. With the help of the Internet, information can be quickly disseminated, and the types of information are increasing, including documents, pictures, videos, audios, hyperlinks, forms, and so on [1,2,3]. Peoples demand for information has also grown. The increase in the demand for Web information extraction technology and the in-depth study of the corresponding research work have promoted the development of Web information extraction technology. At present, various types of web information extraction tools and methods have emerged [4,5,6] . Although most of these tools and systems use web page wrappers to ultimately achieve the acquisition of structured data in a data source, the methodologies used and the areas of research involved are not the same. According to the principle of the method of identifying and locating users data in web pages, people have roughly classified various web information extraction systems and related technologies. The main types are: ontology based extraction, location based extraction, NLP based extraction, wrapper modeling based extraction, web query based information extraction and so on [7,8,9,10]. However, most of methods applied for extracting web data did not consider the domain requirements, on the other hand, a lot of useful field data are stored in the background database, which belong to hidden deep data, and need continuous query and extraction. Motivated by this, we studies the methods of extracting web data entities based on domains knowledge, and propose a topic-oriented extracting model, for the existence of depth information on the domain webpages, a sorting classification extraction algorithm was designed for numerical data. Domain Topic Extracting Model and Searching Strategy Domain Topic Extracting Model. The domain topic extracting model of this article has been improved on the basis of the generic crawler model, and the flowchart of the extracting model used in this paper is shown in the Fig .1. Compared with the general crawler model, the domain topic model has two more modules: the page topic relevance calculation module and the candidate URL priority calculation module. The page topic relevance calculation module may filter the saved pages according to the relevance of the pages and the topics. If the relevance of the page to the topic is higher than the set threshold, the candidate URL of the page is extracted and input into the candidate URL priority calculation module, and the calculation rules are as follows: If the candidate URL is relatively related to the topic, it is inserted. To the front of the queue, the opposite is inserted into the back of the queue or is discarded. 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018) Copyright

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.

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.

H_Infinity Anti-Synchronization of Chaotic Systems with Unknown Parameters

In this paper, a general method is proposed for the anti-synchronization of chaotic systems with unknown parameters. This approach is based on the Lyapunov control theory, and employs a combination of feedback control and adaptive control. With this method, the unknown parameters is estimated and the adaptive feedback controller is designed to not only guarantee stable anti-synchronization but also reduce the effect of external disturbance to an norm constraint. Numerical simulations results are presented to demonstrate the effectiveness of the method.

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 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.