Slip energy recovery of a rotor-side field oriented controlled wound rotor induction motor fed by matrix converter

This paper investigates rotor-side field oriented control of a wound-rotor induction motor using the slip energy recovery principle. The proposed drive system uses a matrix converter to transfer the slip energy from the rotor into the mains instead of using ac-dc-ac converter whilst the stator side is fixed to the grid. Operation at both subsynchronous and supersynchronous regions is possible with the proposed drive system. Simulation studies of the proposed doubly fed induction motor drive system verify the good control performance of the system in transient and steady-state conditions.     

求最大公因式的矩阵变换法

求多项式的最大公因式教材中都是运用辗转相除法,运算的过程比较复杂。本介绍的矩阵变换法,使求解过程简洁明了,尤其对多于2个的多项式的最大公因式可一并求出,更显其优越性。     

一类Jacobi矩阵方程反问题

本文讨论了一类Jacobi矩阵方程反问题 ,得到了问题有唯一解的充分必要条件 ,并给出了数值例子     

基于信息增强的多视角矩阵分类器设计

由于受限于人工成本,很多现实世界中的多视角数据集是由少量有标签样本和大量无标检样本组成的。当前传统的多视角矩阵分类器无法有效处理这类数据集。为了处理这个问题,将Universum学习引入多视角矩阵分类器中,提出基于信息增强的多视角矩阵分类器。由于Universum学习可以生成额外的无标签样本,这类样本虽然没有被指定类别标签,但是包含了部分有标签样本的信息,所以Universum学习可以增强有效样本信息。实验表明,相比于传统的多视角矩阵分类器,本文提出的基于信息增强的多视角矩阵分类器具有更好的分类性能。     

Feature-enriched matrix factorization for relation extraction

Relation extraction aims at finding meaningful relationships between two named entities from within unstructured textual content. In this paper, we define the problem of information extraction as a matrix completion problem where we employ the notion of universal schemas formed as a collection of patterns derived from open information extraction systems as well as additional features derived from grammatical clause patterns and statistical topic models. One of the challenges with earlier work that employ matrix completion methods is that such approaches require a sufficient number of observed relation instances to be able to make predictions. However, in practice there is often insufficient number of explicit evidence supporting each relation type that could be used within the matrix model. Hence, existing work suffer from a low recall. In our work, we extend the work in the state of the art by proposing novel ways of integrating two sets of features, i.e., topic models and grammatical clause structures, for alleviating the low recall problem. More specifically, we propose that it is possible to (1) employ grammatical clause information from textual sentences to serve as an implicit indication of relation type and argument similarity. The basis for this is that it is likely that similar relation types and arguments are observed within similar grammatical structures, and (2) benefit from statistical topic models to determine similarity between relation types and arguments. We employ statistical topic models to determine relation type and argument similarity based on their co-occurrence within the same topics. We have performed extensive experiments based on both gold standard and silver standard datasets. The experiments show that our approach has been able to address the low recall problem in existing methods, by showing an improvement of 21% on recall and 8% on f-measure over the state of the art baseline.     

传递闭包某结论的商榷--关于师专教材《离散数学》某结论的订正

章对教材中的某结论提出疑问，分析其等价说法，并通过具体例子否定其正确性。     

对企业几种战略分析工具应用的比较研究

本文通过对企业几种战略分析工具在实际应用中的对比研究，提出不同分析工具在应用中需要注意的要点。并就其相应的优点和缺陷进行分析，以此向相关的企业战略研究和实践人员提出参考建议。     

On the p-norm joint spectral radius

The p-norm joint spectral radius is defined by a bounded collection of square matrices with complex entries and of the same size. In the present paper the author investigates the p-norm joint spectral radius for integers. The method introduced in this paper yields some basic formulas for these spectral radii. The approach used in this paper provides a simple proof of Berger-Wang's relation concerning the ∞-norm joint spectral radius.     

矩阵的初等变换法求特征值及特征向量

利用矩阵的行初等变换法及分块矩阵理论，给出了矩阵的特征值及特征向量的简易求法。     

教育硕士计算机应用能力矩阵式培养模式的设计

从国家开设教育硕士专业学位的初衷入手,分析了现有面向教育硕士的《计算机应用基础》课程存在的问题,设计了教育硕士计算机应用能力矩阵培养模式,并依据矩阵培养模式给出了课程内容的框架设计。