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Identifying influential nodes is largely studied for its widely application in various fields. However, the previous studies usually concentrate on the undirected weighted networks or binary networks, neglecting the orientation information, which is vital for flow networks. Although some key nodes discovery algorithms based on the basic idea of PageRank are proposed to analyze nodes centrality in...
Concerning the problems of the comparative translation is not accurate in machine translation and the useful information is unable to match in information retrieval, a liheci word sense disambiguation method is adopted and a classifier model is established using Support Vector Machines(SVM). To improve the accuracy of the liheci word sense disambiguation, it extracts not only local words(LW), local...
The problem of greenhouse climate control has traditionally been solved by using experience based method or model based method, Moreover, light and CO2 are seldom used in greenhouse environment control to make sure that environment state is the essential of high crop production. This paper presents a multi-objective economic optimization problem in greenhouse climate control solved in real time using...
Aiming to meet the demand of intellectual delivery business, this paper puts forward Broadcast Television user dividing groups technology based on concept data clustering ensemble. Firstly, by Glass data, Blance data and Zoo data in UCI, the paper verify that concept data clustering ensemble technique based on K-MODES method can get more stable and more accurate results than K-MEANS method. Secondly,...
A velocity-free fully informed particle swarm optimization algorithm is firstly proposed for multi-objective optimization problems in this paper. It finds the non-dominated solutions along the search process using the concept of Pareto dominance and uses an external archive for storing them. Distinct from other multi-objective PSO, particles in swarm only have position without velocity and all personal...
Open education quality guarantee is a core issue in field of distance education. Data mining techniques are used to design effective teaching reform courses examination data analysis method would be a good way for checking teaching reform effects and could provide objective basis for open education quality assurance. This paper proposes a teaching reform courses examination data analysis solution...
Due to the frequent occurrence of the traffic accidents, the passive safety devices fail to meet people's needs. Growing attention has been paid to active safety strategies such as the collision warnings. This paper aims at discovering the related characteristics between the active safety strategy and velocity through the visual analysis of Internet of Vehicles (IoV) warning data. First, seven datasets...
The resistance furnace temperature control system is a nonlinear one, which has characteristics of large inertia and great delay. It is difficult for the conventional PID controller to get ideal control effect, which has low control precision and poor adaptability. To effectively control the temperature of resistance furnace, a double fuzzy controller based on PIC single chip is designed. According...
With the increasing of comment data about television programs on Internet, using text mining technology to analyze the massive data so that it can make subjective evaluation about television programs. It can give decision support and improve competitiveness for each department in radio and TV industry. This paper mainly introduces how to using sentiment-oriented pointwise mutual information (SO-PMI)...
Shark-search and HITS are the classical algorithms of subject crawler. Aiming at the phenomenon of the theme drift in HITS algorithm and the noise link in Shark-search algorithm, a new topic crawling strategy for improving Shark-search and HITS algorithm is proposed. Firstly, analyzed the depth of the web page and adopt the VIPS (vision-based page segmentation) block processing algorithm for a given...
A information management system was designed and implemented based on the ArcGIS Server Web ADF. The system is a WebGIS with three-tier B/S structure. It realizes the integrated storage and management of spatial data and attributes data, and the share, analysis and visualization of spatial information. The paper introduced the system structure and function design, and described the method of constructing...
This paper considers the constrained least squares (CLS) approach for source localization problem based on range-difference (RD) measurements collected from a multi-agent system. We provide an interior point algorithm for efficiently computing the CLS estimate of the source position by analyzing the special structure of the corresponding optimization problem. Numerical simulations suggest that the...
In this paper, we analyze the importance and the difficulties to recognize car plate characters from low-quality monitoring videos. A solution is proposed to achieve the character recognition by classifying character images based on convolutional neural network. We analyze the degradation of car plate character in practical surveillance videos, and then model and generated simulated dataset. We also...
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