快速的层次树集合分划编码算法*

设计了一个改进算法,它仅需对小波分解矩阵进行一遍扫描即可确定层次树集合分划编码(SPIHT)算法所需的所有D(i,j)和L(i,j)重要性并完成对所有(i,j)子系数的编码,使得按照SPIHT的排序方法编码时只需查找存放D(i,j)和L(i,j)的重要性及(i,j)子系数的编码表,从而大大提高了SPIHT的编码速度.     

Balanced multiple weighted linear discriminant analysis and its application to visual process monitoring

Visual process monitoring is important in complex chemical processes. To address the high state separation of industrial data, we propose a new criterion for feature extraction called balanced multiple weighted linear discriminant analysis(BMWLDA). Then, we combine BMWLDA with self-organizing map(SOM) for visual monitoring of industrial operation processes. BMWLDA can extract the discriminative feature vectors from the original industrial data and maximally separate industrial operation states in the space spanned by these discriminative feature vectors. When the discriminative feature vectors are used as the input to SOM, the training result of SOM can differentiate industrial operation states clearly.This function improves the performance of visual monitoring. Continuous stirred tank reactor is used to verify that the class separation performance of BMWLDA is more effective than that of traditional linear discriminant analysis, approximate pairwise accuracy criterion, max–min distance analysis, maximum margin criterion, and local Fisher discriminant analysis. In addition, the method that combines BMWLDA with SOM can effectively perform visual process monitoring in real time.     

多级结构MoS2/C复合材料的储锂性能

利用二硫化钼和葡萄糖为原料,采用一锅乙醇/水复合溶剂热-后热处理法制备了绣球花状结构MoS₂/C复合材料。考查了乙醇/水复合溶剂的合理组成和MoS₂/C复合材料中碳的合理含量,分别采用SEM和TEM表征了MoS₂/C材料的形貌结构,通过TGA测试和计算了材料中的碳含量。采用循环伏安、恒流充放电和交流阻抗等测试了MoS₂/C复合电极的电化学性能。结果表明,MoS₂/C复合材料拥有多级花球状结构,缓解了MoS₂的团聚,使电极材料的利用率和电化学稳定性显著提高。当V（乙醇）：V（水）为1：2,碳含量为50%时,MoS₂/C复合电极在200 mA·g^-1的电流密度下,充放电循环100次后,可逆容量达到762 mA·h·g^-1。     

利用贝叶斯线性回归结合混合Copula函数分析风电功率的相关性

分析风电场之间的出力相关性有助于合理规划风机的功率输送以及调度优化,从而提高传输线路的利用率。以冀北地区风场为例,首先分析了该区域风速的分布特性,然后利用贝叶斯线性回归算法建立混合Copula函数模型,拟合得到4个机群风速序列的联合分布,计算出风电场之间的出力相关性,并与其他相关性函数建模进行对比研究。研究结果表明,基于贝叶斯线性回归的混合Copula函数模型能够提高参数估计的精确性,从而使得计算出的相关性更为准确,并且由其拟合得到的出力概率分布与实际风场出力的概率分布较为一致。     

CONFIGURATION OF AN ADVANCED INDUSTRIAL CONTROL HIERARCHY FOR COPPER MANUFACTURE

The proposed hierarchical arrangement of the copper plant control is presented.The hierar-chical control in copper manufacture and the recent computer advances in this area are dis-cussed.It is also described how a hierarchical computer network can provide a means for effec-tive integrated central control in this article.     

EFFECT OF ALLOY ELEMENTS ON QUASIEQUILIBRIUM MICROSTRUCTURE IN Fe-Mn-Ni-Cr STEELS

The microstructures of Fe-Mn-Ni-Cr steels with medium carbon and the effect of alloy ele-ments on them have been investigated by means of X-ray diffraction quantitative phase ana-lyses,metallography and hardness tests.The volume fraction of martensite in steels quenchedat 1100℃ can be expressed as:f_M~(1100)=162.643-15.482Mn-7.36Ni-4.286(Cr+Mo+V)Based on this expression,the quasi-equilibrium microstructure diagram has been obtained.Itis shown that the effect of Mn on the austenite stability is greater than that of Ni.The equiva-lent [Ni]=2.104Mn+Ni and equivalent [Cr]=Cr+Mo+V.The driving force for martensite transformation at M_s point has been calculated to hedrastically decreased by element Mn.     

滚切剪剪切力的实验研究

对直导向滚切剪的剪切力进行了实验研究，得到了计算最大剪切力的经验公式。     

A hybrid intelligent system for medical data classification

In this paper, a hybrid intelligent system that consists of the Fuzzy Min–Max neural network, the Classification and Regression Tree, and the Random Forest model is proposed, and its efficacy as a decision support tool for medical data classification is examined. The hybrid intelligent system aims to exploit the advantages of the constituent models and, at the same time, alleviate their limitations. It is able to learn incrementally from data samples (owing to Fuzzy Min–Max neural network), explain its predicted outputs (owing to the Classification and Regression Tree), and achieve high classification performances (owing to Random Forest). To evaluate the effectiveness of the hybrid intelligent system, three benchmark medical data sets, viz., Breast Cancer Wisconsin, Pima Indians Diabetes, and Liver Disorders from the UCI Repository of Machine Learning, are used for evaluation. A number of useful performance metrics in medical applications which include accuracy, sensitivity, specificity, as well as the area under the Receiver Operating Characteristic curve are computed. The results are analyzed and compared with those from other methods published in the literature. The experimental outcomes positively demonstrate that the hybrid intelligent system is effective in undertaking medical data classification tasks. More importantly, the hybrid intelligent system not only is able to produce good results but also to elucidate its knowledge base with a decision tree. As a result, domain users (i.e., medical practitioners) are able to comprehend the prediction given by the hybrid intelligent system; hence accepting its role as a useful medical decision support tool.     

陶瓷隧道窑单耗统计数学模型的研究

本文依据陶瓷隧道窑热工测试数据和热平衡报告,采用多元回归和逐步回归统计理论,得到了陶瓷隧道窑单位重量热耗的多元回归数学模型和逐步回归数学模型。利用该数学模型可对单耗进行预测和控制。