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Our goal is to analyze the way information flows in the social network and to draw a conclusion for the relationship between the information spread and public opinion. First, by utilizing K-Means Algorithm with PCA (Principal Component Analysis), we build a comprehensive assessment system of information development. Second, based on the traditional SIR Model in epidemic field, we build a SIER dissemination...
For the comprehensive evaluation index system of sports teaching quality, this paper first obtains five indicators, including average score representing the overall level of the class, separation degree applying variance, students pass rate of the final exam, excellence rate and progress rate of teachers. Objective comprehensive evaluation value indicators of teaching quality are obtained through...
We address the problem of determining the number of signals correlated between two high-dimensional data sets with small sample support. In this setting, conventional techniques based on canonical correlation analysis (CCA) cannot be directly applied since the canonical correlations are significantly overestimated when computed from few samples. To overcome this problem, a principal component analysis...
In this paper, an integrated fault diagnosis method is proposed to deal with fault location and propagation path identification. A causality graph is first constructed for the system according to the a priori knowledge. Afterward, a correlation index (CI) based on the partial correlation coefficient is proposed to analyze the correlation of variables in causality graph quantitatively. To achieve accurate...
This paper presents a fault diagnosis system for a sophisticated automotive embedded system. The latter is a Smart Distance Keeping system (SDK) which is an advanced adaptative cruise control implemented in a truck. The proposed diagnosis process is applied in a decentralized manner. To provide local diagnosis to one of the SDK electronic control unit, the approach based on the vertices principal...
English for science and technology(EST) is an important way to describe scientific work, and flexible means(FM) is the generally accepted method to translate EST. In this paper, we evaluate the application of flexible means in EST translation(ESTT) via the explicit questionnaire. Directly employing the principal component analysis(PCA), we obtain the relative importance of seven different kinds of...
The objective function of a fuzzy clustering algorithm is minimizing the sum of weighted distance function between data objects and cluster centers. Various cluster validity indexes evaluate the cluster's results from two aspects: compactness and separation measures. The fuzzy clustering algorithm with the expected value uses the merging algorithm to get separated clusters. The merging algorithm based...
The application of mathematical model based on statistics is widely used in many fields, especially in evaluation subject. On wine quality evaluation, it requires in-depth analysis of the physical-chemical indicators about wine grapes and wine. In this paper, we established the models of fitting, analysis of variance (ANOVA), Q cluster analysis and the optimized method of principal component analysis...
Fault detection and isolation methods based on the Principal Component Analysis (PCA) have been widely used for monitoring complex industrial processes with multiple variables and diagnosing process and sensor faults. This approach has been mainly developed for the analysis of single valued variables without considering any uncertainty in the systems. The main objective of this paper is then to develop...
This paper presents a fault diagnosis system of the chaser reaction wheels used during the rendez-vous phase of the Mars Sample Return (MSR) mission. The principal component analysis has been adopted to estimate the relationships between the various variables of the process. To ensure the feasibility of the proposed FDI approach, a set of data provided by an industrial “high-fidelity” simulator of...
This paper presents a fault diagnosis system of the chaser thrusters used during the rendez-vous phase of the Mars Sample Return (MSR) mission. The Vertices Principal Component Analysis (VPCA) has been adopted as an extension method of the classical principal component analysis for interval valued data. The VPCA has been used to estimate the relationships between the various variables of the process...
In this paper an approach to design proportional-integral (PI) controllers, for SISO systems, based on neural linear principal components analysis (PCA) is presented. Closed-loop control can be formulated and implemented within the reduced space defined by a PCA model. The neural linear PCA controller, results in an integral controller, which can be used as an inferential controller. The main contributions...
3D animations have been widely used in the movie and gaming industries. However, the huge storage requirements of dynamic mesh data make it difficult for a number of applications such as rendering, transmitting over a network, etc.This study proposes a multiresolution representation for 3D animation. The results show that the coarse animation appears by using only 10% of the original faces. More detailed...
In the future information warfare, the new military revolution whose core is information technology will makes the main body of war multiform, the area of the battlefield multidimensional, the battle element more integrated, the battle action associated, the form and model of equipment support much different. The ammunition support is crucial to form the combat power of the army as an important part...
In order to examine the relationship between ownership structure and firm performance of private companies, this paper selects 283 private companies listed in Two Exchanges in the period from 2008 to 2010. Ownership structure is described in two aspects: ownership concentration and equity properties. First, a new comprehensive performance index is obtained by principal component analysis method based...
Accompanying the development of the information systems, there is more and more research focused on the evaluation of information systems. However, the evaluation of the enterprise information systems has always been a thorny problem because of the complexity of the information systems. Through analysis of the existing research achievements both domestic and foreign, we find that some important factors...
Food security is a major worldwide issue nowadays. One of the supporting indicators of the food security level is the trend of the global agriculture output per capita. In this study, grain data from China between 1997 and 2007 is used as a means to indicate the level of grain security. The inputs for this study are based on 3 categories, productive indexes, consumptive indexes, disaster indexes,...
Based on the theory of sustainable development, the evaluation indexes system of public libraries has been established. The evaluation indexes system was established including 12 indexes. Both principal component analysis and comprehensive evaluation method were applied in empirical evaluation study on public libraries of 31 provinces in 2008. We have sorted the sustainable development levels of 31...
Based on the theory of sustainable development, evaluation indexes system of public libraries has been established. Principal component analysis was applied in the empirical study of public libraries in Chongqing in recent years. Three principal components have been chosen, and the comprehensive evaluation model was established. It is concluded that the development level of public libraries in Chongqing...
A new prediction error correction scheme based on 74 circulation characteristics data provided by Weather Diagnostic Forecasting Division of National Climate Center, which is designed to develop the Operational Numerical Forecast Model (ONFM) of the National Climate Center of China, and the skill level of the precipitation prediction for rainy season in the mid-lower reaches (MLR) of the Yangtze River...
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