Zi Yang Han

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.

Web Data Extraction and Integration in Domain

The purpose of WEB data extraction and integration is to provide the domain oriented value-added services. Based on the requirements of domain, and the features of web pages data. this paper proposes a WEB data schema and a domain data model. It also puts forward the web table positioning and web table records extracting based on WEB data schema and an integration algorithm based on the main data model. The experiment results are given to show effectiveness of the proposed algorithm and model.

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.

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.

Web Data Extraction Based on Tag Path Clustering

Fully automatic methods that extract structured data from the Web have been studied extensively. The existing methods suffice for simple extraction, but they often fail to handle more complicated Web pages. This paper introduces a method based on tag path clustering to extract structured data. The method gets complete tag path collection by parsing the DOM tree of the Web document. Clustering of tag paths is performed based on introduced similarity measure and the data area can be targeted, then taking advantage of features of tag position, we can separate and filter record, finally complete data extraction. Experiments show this method achieves higher accuracy than previous methods.

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.

Elementary Discussion on Data Management of the Internet of Things

In recent years, extensive attention has been paid to Internet of Things. This paper introduces the development, the standards of data expression, exchange, process and fusion of Internet of Things. It analyses the functions and physical quipments of each of architecture layers and the characteristics of data management on support layer of Internet of Things. Finally, the primarily problems of data management are proposed and corresponding measures to process data problems are given.