合取型集值序信息系统组合熵和组合粒度研究

首先文章在讨论合取型集值序信息系统优势关系的性质和定理的基础上,定义了合取型集值序信息系统优势关系的组合熵和组合粒度概念,对优势关系粗细程度的度量进行了研究和探讨;其次,针对满足相同优势关系而没有突出优势程度的情形,构造了带有权值信息的合取型集值序信息系统并定义了新的优势关系;然后在改进后的优势关系中,引入组合熵与组合粒度对其不确定性的度量进行研究,结果表明改进后的优势关系的组合熵与组合粒度所满足的结论与改进前一致,即随着优势关系粒度的逐步变细,其组合熵逐步递增,组合粒度逐步递减,并通过实例进行了验证,从而为进一步揭示集值序信息系统的不确定性度量规律提供了理论依据。

利用Xu-White模型估算地震波速度

在测井资料中,通常缺乏横波测井资料,这为地震波正演模拟和地震反演都带来一定的困难。基于Xu White模型,作者利用常规测井资料AC,RT和GR曲线,以及实验室岩石物理数据进行地震波速度估算,有机地结合了Gassmann方程和Kuster Toks z模型,并充分考虑到了泥质砂岩中岩石基质性质、泥质含量、孔隙度大小和形状及孔隙饱含流体性质对岩石速度的影响。然而,由于存在“数据测量”和“模型估算”的不精确性,输入参量和输出结果都不可能完全的精确,为此在利用Xu White模型的同时引入信息合取反演算法,建立一个联系所有输入参数和输出结果之间的后验概率密度函数,通过寻找模型空间的最大似然点达到最优化模型结果的目的。该反演方法应用于吉林新立油田测井资料分析,纵波速度和密度估算结果在可接受的误差范围内,能够对由于井壁垮塌造成的密度测量偏差进行校正,为横波估算结果的利用提供了合理性保证。

A hybrid specific index-related process monitoring strategy based on a novel two-step information extraction method

A two-step information extraction method is presented to capture the specific index-related information more accurately.In the first step,the overall process variables are separated into two sets based on Pearson correlation coefficient.One is process variables strongly related to the specific index and the other is process variables weakly related to the specific index.Through performing principal component analysis(PCA)on the two sets,the directions of latent variables have changed.In other words,the correlation between latent variables in the set with strong correlation and the specific index may become weaker.Meanwhile,the correlation between latent variables in the set with weak correlation and the specific index may be enhanced.In the second step,the two sets are further divided into a subset strongly related to the specific index and a subset weakly related to the specific index from the perspective of latent variables using Pearson correlation coefficient,respectively.Two subsets strongly related to the specific index form a new subspace related to the specific index.Then,a hybrid monitoring strategy based on predicted specific index using partial least squares(PLS)and T2statistics-based method is proposed for specific index-related process monitoring using comprehensive information.Predicted specific index reflects real-time information for the specific index.T2statistics are used to monitor specific index-related information.Finally,the proposed method is applied to Tennessee Eastman(TE).The results indicate the effectiveness of the proposed method.

Modification of evidence theory based on feature extraction

Although evidence theory has been widely used in information fusion due to its effectiveness of uncertainty reasoning, the classical DS evidence theory involves counter-intuitive behaviors when high conflict information exists. Many modification methods have been developed which can be classified into the following two kinds of ideas, either modifying the combination rules or modifying the evidence sources. In order to make the modification more reasonable and more effective, this paper gives a thorough analysis of some typical existing modification methods firstly, and then extracts the intrinsic feature of the evidence sources by using evidence distance theory. Based on the extracted features, two modified plans of evidence theory according to the corresponding modification ideas have been proposed. The results of numerical examples prove the good performance of the plans when combining evidence sources with high conflict information.

Introducing semantic information into motion graph

To improve motion graph based motion synthesis,semantic control was introduced.Hybrid motion features including both numerical and user-defined semantic relational features were extracted to encode the characteristic aspects contained in the character's poses of the given motion sequences.Motion templates were then automatically derived from the training motions for capturing the spatio-temporal characteristics of an entire given class of semantically related motions.The data streams of motion documents were automatically annotated with semantic motion class labels by matching their respective motion class templates.Finally,the semantic control was introduced into motion graph based human motion synthesis.Experiments of motion synthesis demonstrate the effectiveness of the approach which enables users higher level of semantically intuitive control and high quality in human motion synthesis from motion capture database.