化学因子分析法测定液体推进剂A

基于测定推进剂Ａ现有分析方法准确度低,神经网络法对仪器要求高等不足,提出了的一种新的分析方法。该方法利用已知酸的电位滴定数据建立多元线性回归数学模型,利用化学因子分解该模型,对未知样进行浓度测定。实际测定结果表明本方法的最大分析误差不超过０．１７％,标准偏差不超过１．９％,满足样品分析要求。     

Linux下连续媒体文件系统研究

Linux是Internet时代最辉煌的成果之一,它已经成为Internet上最受欢迎的网络操作系统。人们通过Linux提供面向Internet的各种服务,范围从WWW到网上直播。但基于Linux的高质量视频点播服务（VOD）鲜见有人研究。文章正是在这种背景下提出了Linux下的连续媒体文件系统（LCMFS）,将其作为基于Linux的高质量视频点播服务系统的底层支撑。文章先介绍了与Linux相关的背景知识,接着对Linux的现有文件系统—Ext2文件系统的结构进行剖析,指出其在处理连续媒体文件时的不足之处,然后据此提出了LCMFS的设计思想和原则,并阐述了LCMFS的设计及实现方案,最后对LCMFS的性能进行了分析和测试。     

健壮性学习算法

使用统计方法可以对汉英机器翻译的词性标注和句法语义分析阶段产生的歧义进行消歧,在估计过程中往往使用最大可能方法,但是并不是在所有的情况下取最大值都是正确的。为了从所有候选结果中取到正确的结果,本文使用健壮性学习算法。使用这个算法,当正确的候选结果评分不是最高时,仍能通过健壮性算法来调整正确结果的评分,使之最大,并且降低不正确候选的评分。而且,由于训练集与测试集存在不同,使训练集中的错误率最小不能保证测试集中的错误率也最小。因此当考虑训练语料库和测试语料库存在统计变化时,应该使用健壮性学习算法。     

动态地构建和维护基于小波的直方图*

利用小波变换的数学理论和方法,对基本的数据分布进行小波分解,在此基础上采用一种新的方法来动态地构建和维护基于小波的直方图,并给出相应的算法。实验证明基于这种方法的小波直方图能提供好的选择性估算和近似技术。     

Optimization of Industrial Structure Considering the Uncertainty of Water Resources

This paper developed a stochastic linear fractional programming model for industry optimization allocation base on the uncertainty of water resources incorporating chance constrained programming and fractional programming. In this paper, the stochastic linear fractional programming is used in the real word. The development SLFP has the following advantages: (1) The model can compare the two aspects of the targets; (2) The model can reflect the system efficiency intuitively; (3) The model can deal with uncertain issues with probability distribution; (4) The model can give different optimal plans under different risk conditions. The model has a significant value for the industry optimization allocation under uncertainty in local and areas to achieve the maximum economic benefits and the full use of the water resources.     

Generalized Adjusted Rand Indices for cluster ensembles

In this paper, Adjusted Rand Index (ARI) is generalized to two new measures based on matrix comparison: (i) Adjusted Rand Index between a similarity matrix and a cluster partition (ARImp), to evaluate the consistency of a set of clustering solutions with their corresponding consensus matrix in a cluster ensemble, and (ii) Adjusted Rand Index between similarity matrices (ARImm), to evaluate the consistency between two similarity matrices. Desirable properties of ARI are preserved in the two new measures, and new properties are discussed. These properties include: (i) detection of uncorrelatedness; (ii) computation of ARImp/ARImm in a distributed environment; and (iii) characterization of the degree of uncertainty of a consensus matrix. All of these properties are investigated from both the perspectives of theoretical analysis and experimental validation. We have also performed a number of experiments to show the usefulness and effectiveness of the two proposed measures in practical applications.     

Identification of Breast Cancer Prognosis Markers via Integrative Analysis

In breast cancer research, it is of great interest to identify genomic markers associated with prognosis. Multiple gene profiling studies have been conducted for such a purpose. Genomic markers identified from the analysis of single datasets often do not have satisfactory reproducibility. Among the multiple possible reasons, the most important one is the small sample sizes of individual studies. A cost-effective solution is to pool data from multiple comparable studies and conduct integrative analysis. In this study, we collect four breast cancer prognosis studies with gene expression measurements. We describe the relationship between prognosis and gene expressions using the accelerated failure time (AFT) models. We adopt a 2-norm group bridge penalization approach for marker identification. This integrative analysis approach can effectively identify markers with consistent effects across multiple datasets and naturally accommodate the heterogeneity among studies. Statistical and simulation studies demonstrate satisfactory performance of this approach. Breast cancer prognosis markers identified using this approach have sound biological implications and satisfactory prediction performance.     

汉语同语的功能特点与英译策略

以北大语料库(CCL)为例,分析论述汉语同语的功能特点.除了和英语同语一样可以表示强调以外,它们还具有转折、让步和赞誉的功能.对汉语同语进行英译时,应通过“理解-传递-体现”三个阶段实现功能对等.对表强调功能的单举式同语,可以保留其语言形式;对具有转折、让步和赞誉功能以及表强调功能的对举式同语,则应弃形式、保功能.     

基于消除地方高校成长上限基模的实证研究——以江西M学校为例

本文基于系统动力学反馈基模分析方法,在分析江西地方高校发展的成长上限基模和对策基模的基础上进行实证研究,引入相关数据,构建消除成长上限基模的顶点赋权模型,并提出综合对策思考。     

云南村镇垃圾收转运系统建设探讨

对虚拟的垃圾收运项目区域,从覆盖范围的确定、收集方式的选择、收运设施的设置、收运线路的规划4个方面做了较为全面的分析和研究,期望村镇垃圾收转运系统的设计和实施能够实用、适用,并对云南省同类型的村镇垃圾收转运系统建设具有借鉴意义。