基于查询向量的英语话题跟踪研究

通过分析英语新闻报道的特点,提出了一种基于词汇区分和位置特征相结合的特征项抽取算法.词汇区分是指将单词分为首字母是大写的单词和首字母不是大写的单词,位置特征利用新闻报道的倒金字塔式的结构特点决定单词的重要性.提出了一种基于多个特征项抽取算法融合的特征项权值计算方法,该方法认为被越多的特征项抽取算法选中的特征项越重要.提出了一种基于多数投票策略的双重过滤算法,对报道和话题是否相关进行两次过滤,大大降低了系统的误报率.实验表明提出的3种算法不但取得了很好的效果,而且具有很好的可扩展性.     

平面凸轮廓线曲率半径的插值求法

对于平面凸轮机构的运动分析可以用高副低代的方法将其转化成平面连杆机构来进行,而高副低代后关键的问题是如何在书籍平面凸轮廓线的基础上求解凸轮的曲率半径.另外,在平面凸轮机构的综合中,一般也要验算凸轮轮廓曲线的曲率半径.本文详细介绍了如何用斯梯林插值公式求解凸轮廓线为等间隔离散点的平面凸轮曲率半径方法,并给出了一个例子加以验证.     

一种基于计算机的白血病细胞治疗效果数学模型

根据熵值在生物系统中的应用原理,改建一种可用计算机模拟的白血病细胞药物治疗效果的数学模型,并应用于新型诱导分化剂氨基甾体对K562白血病细胞的作用中.结果表明药物作用后细胞系统的熵值增加,良好的药物取决于降低癌基因表达率,升高诱导分化率,以致抑制白血病细胞的增殖.该模型亦可用于其他抗癌药物治疗效果的计算机模拟.     

GPS在电力系统中的应用

介绍了GPS的基本组成和功能,详细论述GPS在电力系统各方面的应用。     

In Situ Forming Hydrogel Based on Chondroitin Sulfate–Hydroxyapatite for Bone Tissue Engineering

In this research, tissue engineered hydrogels consist of chondroitin sulfate and hydroxyapatite capable of light curing and cell encapsulation were prepared. Chemical and physical characteristics were analyzed by FTIR spectroscopy, compressive strength and water uptake measurements. Observations with fluorescence microscopy as well as MTT viability assay revealed no toxicity for encapsulated cells. Moreover, alkaline phosphatase activity, calcium deposition, and gene expression analysis were determined to prove the osteogenic potential of the prepared hydrogel. In conclusion, this in situ forming hydrogel can be utilized as filler for bone deficiencies as well as carrier for cell encapsulation and osteogenic differentiation.     

Fuzzy赋范空间上算子的微分

本文给出了Fuzzy赋范空间上算子的Fuzzy Frechet微分、Fuzzy Gateaux微分的定义,讨论了它们的一些性质。     

钢筋混凝土细长构件截面几何关系探讨

本文运用 Hellinger-Reissner 变分原理,给出了从基本平衡方程导出钢筋混凝土构件截面上应变分布情况的一般方法。所给出的方法适用于受压区混凝土应变分布的任何规定形式。计算表明.若认为受压区混凝土在变彤过程中具有线性应变分布,则受拉钢筋应变与该分布一起满足平截面假定。     

From linear to nonlinear control means: a practical progression

With the rapid advance of digital control hardware, it is time to take the simple but effective proportional-integral-derivative (PID) control technology to the next level of performance and robustness. For this purpose, a nonlinear PID and active disturbance rejection framework are introduced in this paper. It complements the existing theory in that (1) it actively and systematically explores the use of nonlinear control mechanisms for better performance, even for linear plants; (2) it represents a control strategy that is rather independent of mathematical models of the plants, thus achieving inherent robustness and reducing design complexity. Stability analysis, as well as software/hardware test results, are presented. It is evident that the proposed framework lends itself well in seeking innovative solutions to practical problems while maintaining the simplicity and the intuitiveness of the existing technology.     

Probabilistic ensemble simplified fuzzy ARTMAP for sonar target differentiation

This study investigates the processing of sonar signals with ensemble neural networks for robust recognition of simple objects such as plane, corner and trapezium surface. The ensemble neural networks can differentiate the target objects with high accuracy. The simplified fuzzy ARTMAP (SFAM) and probabilistic ensemble simplified fuzzy ARTMAP (PESFAM) are compared in terms of classification accuracy. The PESFAM implements an accurate and effective probabilistic plurality voting method to combine outputs from multiple SFAM classifiers. Five benchmark data sets have been used to evaluate the applicability of the proposed ensemble SFAM network. The PESFAM achieves good accuracy based on the twofold cross-validation results. In addition, the effectiveness of the proposed ensemble SFAM is delineated in sonar target differentiation. The experiments demonstrate the potential of PESFAM classifiers in offering an optimal solution to the data-ordering problem of SFAM implementation and also as an intelligent classification tool in mobile robot application.