新时期防汛工作的基本方针和思路

介绍江西省灾害性洪水的特点及规律,提出新时期江西防汛的基本方针和思路,以全面协调可持续的科学发展观为指导,积极推进防汛抗旱工作“的两个转变”,以洪水风险管理为基础,走综合治水之路.     

Systematic review on the proteomic profile of Mycobacterium tuberculosis exposed to drugs

The authors present an overview about proteomics studies in Mycobacterium tuberculosis exposed to some anti‐tuberculosis drugs and new candidates, using two‐dimensional gel electrophoresis and mass spectrometry. To date, that the authors have knowledge, this is the first studies that was performed specifically in M. tuberculosis using systematic review on electronic literature conducted in three databases using the following search terms: tuberculosis OR mycobacterium tuberculosis, proteome OR proteomics, and mass spectrometry electrospray ionization OR matrix‐assisted laser desorption ionization OR two‐dimensional gel electrophoresis. By electronic search, 622 abstracts of the original articles published from November 2003 to March 2016 were selected. After the selection, four articles fulfill proposed criteria and were included in this study. The studies reported changes in the protein profile of M. tuberculosis after exposure to isoniazid, ethambutol, streptomycin, ofloxacin, moxifloxacin and two new drugs candidates, SQ109 and ATB107. In conclusion, the proteins changes were related to the synthesis of mycolic acids, cellular metabolism pathways, bacterial stress and starvation.     

基于高维仿生覆盖的人脸识别方法

应用仿生模式识别的理论,提出了基于“认识”事物的人脸识别。根据同一人脸的分布在一定的高维空间的类聚性,提出了一种新颖的基于最小生成树的最邻近覆盖方法。利用小波变换对人脸图像进行分解,对分解后的4个子带分量进行加权融合,用K-L变换提取人脸特征子空间,应用提出的覆盖方法进行人脸识别。在ORL 人脸库上的实验结果表明,与传统的模式识别相比,不仅解决了未训练样本的误识问题,而且能获得更高的识别率。     

基于二维主成分分析与卷积神经网络的手写体汉字识别

随着计算能力的飞速增长、训练数据的不断积累以及非线性激活函数的不断完善,卷积神经网络（CNN）在手写体汉字识别中表现出较好的识别性能。针对CNN识别手写体汉字识别速度慢的问题,将二维主成分分析（2DPCA）与CNN相结合识别手写体汉字。首先,利用2DPCA提取手写体汉字的投影特征向量;然后,将得到的投影特征向量组成特征矩阵;其次,用组成的特征矩阵作为CNN的输入;最后,用Softmax函数进行分类。与基于AlexNet的CNN模型相比,所提方法的运行时间降低了78%,与基于ACNN与DCNN的模型相比,所提方法的运行时间分别降低了80%与73%。实验结果表明,该方法在不降低识别精度的同时,可以减少识别手写体汉字的运行时间。     

Analysis on the effects of stock sharing on supply chain

Considering a two-period, two-part supply chain consisting of one supplier and multi-retailers, this paper studies the effects of stock sharing among retailers on the supply chain. By establishing analysis model and using simulation method, the effects of stock sharing mode and also the traditional mode without stock sharing on retailer, supplier and the whole supply chain’s performance are analyzed. The research results show that when supplier is in a dominant position, although only under certain conditions the stock sharing can stimulate retailer to increase order volume and make supplier to gain a better profit, it always make the profitability of retailer and supplier better than in the traditional mode. When supplier is in a dominant position, stock sharing can always stimulate retailer to increase their order volume, and the profitability of the retailer, supplier and the whole supply chain is always better than the traditional mode situation without stock sharing.     

Approximate unconditional test procedure for comparing two ordered multinomials

The asymptotic and exact conditional methods are widely used to compare two ordered multinomials. The asymptotic method is well known for its good performance when the sample size is sufficiently large. However, Brown et al. (2001) gave a contrary example in which this method performed liberally even when the sample size was large. In practice, when the sample size is moderate, the exact conditional method is a good alternative, but it is often criticised for its conservativeness. Exact unconditional methods are less conservative, but their computational burden usually renders them infeasible in practical applications. To address these issues, we develop an approximate unconditional method in this paper. Its computational burden is successfully alleviated by using an algorithm that is based on polynomial multiplication. Moreover, the proposed method not only corrects the conservativeness of the exact conditional method, but also produces a satisfactory type I error rate. We demonstrate the practicality and applicability of this proposed procedure with two real examples, and simulation studies are conducted to assess its performance. The results of these simulation studies suggest that the proposed procedure outperforms the existing procedures in terms of the type I error rate and power, and is a reliable and attractive method for comparing two ordered multinomials.     

Hough变换在消除遥感图像随机相位相干干扰中的应用

遥感云图在气象,军事,生态生活等领域都有着广泛的应用,但是,由于在多通道扫描辐射计成像过程中部分子系统的影响,不可避免地在信号通道中耦合进一些相干干扰,这些干扰的存在将在一定程度上影响对遥感云图特征提取,目标识别等定量分析方法的有效性,因此必须将图像中的相干阳以中抑制,在对相干干扰特性进行分析并比较已有的几种消除方法的基础上,提出了基于二维频域分析的 变换域Hough变换算法,实验表明,与邻域平均,中值滤波,经典频域滤波等消除干扰算法相比,该算法不仅能高质量地消除图像中的随机相位干干扰,同时还能有效地保留原图像中的细微影纹和边缘信息,并在航天遥感图像的实时采集及处理系统中获得成功应用。     

分布式工程数据库系统中事务提交机制的研究

分布式工程数据库事务的特性不同于常规的分布式事务,基本的两阶段提交（B2PC）的协议已不适用,文中建立了基于嵌套结构的分布式工程数据库事务管理子系统的体系结构,并提出了适用于分布式工程数据库的事务两阶段提交协议,包括协议的原理,算法以及对故障的处理方法,能够较好地支持分布式工程设计过程的进行。     

二维Otsu自适应阈值分割算法的改进

在二维OTSU自适应阈值分割算法的基础上提出了一种改进的自适应阈值分割算法，这种改进算法由于充分考虑了图像二维直方图中象素灰度值及其领域平均灰度值比较接近的区域而获得了比传统算法具有更强抗噪声能力的分割算法，通过将该算法用于显微细胞图像的分割证明了它不仅分割效果得到改善，同时还大大降低了算法的复杂性。     

试验场中“北斗”卫星导航系统的测姿算法研究

本文对试验场中“北斗”卫星导航系统的姿态测量方法进行研究,从试验场实际需求和“北斗”卫星导航系统的特点出发,提出了用于试验场的四天线姿态测量算法,以及双天线、单天线航向算法,并研究了在试验场中,使用“北斗”卫星导航系统进行姿态测量时,多径效应和天线架设位置两个主要误差源对精度的影响。