Shan Liu

Research of hybrid collaborative filtering algorithm based on news recommendation

This paper introduced the personalized recommendation technology to the news system. In order to meet the demand of the users personality and ease the problem of data sparse, the research work proposed the hybrid collaborative filtering algorithm based on news recommendation. It improved correlation coefficient formula by adding news hot parameter when calculating the similarity of users, and then used hybrid recommendation algorithm to forecast users ratings to make user-rating matrix to non-zero values. Experimental results illustrated that the hybrid recommendation algorithm can effectively increase the accuracy and stability of recommendation so as to achieve better recommendation results.

Research on Indoor 3D Location Technology Based on RSSI

With the rapid development of mobile communication, the GPS (Global Positioning System) which provides real-time global positioning system has not been able to meet the needs of the indoor accurate positioning. Through simulation, this paper implements the method of indoor three-dimensional positioning based on RSSI compared the positioning accuracy under several kinds of noise. We achieve the good indoor three-dimensional positioning method with the combination of cost, positioning accuracy and positioning precision through the filter and secondary positioning which establishes special propagation model for various different environments.

Impact analysis on three-dimensional indoor location technology

This paper proposed an impact analysis framework of three-dimensional indoor location technology based on RSSI. The impact analysis model is set to compare the location precision under different types of noise. The result illustrate that the designed impact analysis tool achieves the perfect three-dimensional indoor location results combined cost, location accuracy with filter. To reduce the impact of the noise, the secondary location which built various propagation models for different types of environments has been used. And the location accuracy is greatly improved.

Research of location fingerprint based on three-dimensional indoor positioning system

This paper proposed a solution to the three-dimensional indoor positioning system based on location fingerprint method. Especially, it proposed an automatic offl-ine collection method and realizes an off-line collection system, including a collection server and a mobile collection application, which can be used to collection the information of location fingerprint conveniently, and also improve the efficiency of the off line collection. Moreover, this paper studied the three-dimensional positioning system based on the location fingerprint method, which can obtain the indoor location information with a relative high accuracy. In addition, the paper improves the algorithm based on the location fingerprint, which improves the positioning accuracy and optimizes the positioning performance.

Research of three-dimensional indoor positioning based on RSSI

This paper proposed a newly designed model to satisfy the growing demand of three-dimensional indoor positioning services. The existing different positioning services cannot meet the demand in our daily life, and the increasingly need of three-dimensional positioning services has attracted more attention. In this paper, we implement our analysis and research via studying the evaluation results of different indoor positioning models based on RSSI. Experimental results demonstrated that our proposed method of reducing the influences of environmental factors can greatly improve the positioning precise and reduce the positioning error.

A Framework Analysis of Measuring the Index Node Considering Local and Global Networks

This paper proposes a solution using multi-index method to evaluate node importance locally and globally with adjusted parameters in the network by considering several evaluation indexes. Especially, it adheres to the principles that the node importance of the network is relevant to the value of the node itself together with the centrality of neighbor nodes from a local point of view. Moreover, this paper considers both spreading information and speed of node in dynamic network. The chief influence on adjusted parameters in different network has been estimated. We can rank the influence of users and analyze their tags of interest from the result. In addition, we can make valuable classification of users and improve the service for more personalized services, which is very important for data mining.

Research on visualization of communication network in social topic

Visualization technology helps people find much information which is difficult to dig up with the conventional statistical methods, understand the dynamic variation law, so as to predict the development and the results of network better. In this paper, based on the relevant knowledge of complex network theory and communication, we use the huge amounts of data in the social network to set up communication network model in social topic, and improve the mechanical model of classical algorithm to realize the dynamic real-time visualization in the process of topic communication. The dynamic visualization of single and multiple topics explain the process and mechanism of information transmission intuitively.

Research on 3D Positioning Indoor Simulation Based on RSSI

The growing demand for location-based services promote the development of positioning technology, but the traditional two-dimensional positioning has not fully meet the actual demand, three-dimensional positioning and has more practical significance and application prospects. RSSI-based ranging technology is a low-cost distance measurement technology and low complexity, has been widely used in wireless networks based on the distance of positioning technology. In this paper, through detailed analysis and Research on the effect of RSSI, simulation implemented based indoor positioning. Experimental results show that after eliminating the effects of environmental factors, after mean filtering and data processing Gaussian model range accuracy has greatly improved, positioning error is smaller.