Cloning and characterization of vernalization-related gene (ver203F) cDNA 3′ end

Based on the cDNA fragment sequence of vernalization-related geneverc203 cloned by differential screening in our lab, the 5′ primer has been designed. The cDNA 3′ end ofver203 gene (1 197 bp) has been cloned by the RACE method. And it is identified by Northern blotting that its expression is special in vernalization treatment. After comparing the sequence in the nucleotide sequence databases of Genbank, EMBL and DDBJ, the gene has homology withHordeum vulgare jesmonate-induced protein gene. It is suggested that this gene might be related to the signal transduction mediated by jamonate.     

参考安全补丁比对的软件安全漏洞挖掘方法

Windows操作系统作为目前全球使用最广泛的桌面操作系统,一旦其漏洞被利用将造成严重后果,所以对Windows操作系统的漏洞发掘意义重大。当前对软件安全漏洞的发现更多的是依靠安全研究人员的经验和运气,缺乏系统且有效的方法指导。为了找到一种能够快速发现Windows一类漏洞的方法,本文从安全补丁的修补方法入手,分析了漏...     

干涉光谱仪遥感探测的信噪比研究

干涉光谱仪进行空间目标探测时有很多影响因素。通过计算太阳对目标的表面辐射,利用大气传输模型分析软件——MODTRAN分析计算在可见光到近红外范围的天空漫反射辐射和背景辐射,给出探测器接收到的信号电子数。另外分析各种噪声源,给出主要噪声源的计算方法,并以电子数为基本单位表达各噪声的大小,从而推导出干涉光谱仪接收到的信噪比（以电子数为基本单位）的一般表达式。同时,分析各种因素对成像质量的影响,提出可行的方法改善成像质量。     

多层前馈神经网络的快速学习算法及其仿真研究

本文主要研究多层前馈神经网络的快速学习问题。文中首先概述了多层前馈神经网络的B—P学习算法,并分析了这种算法的主要缺陷,在此基础上提出了若干克服和缓解这些缺陷的技术方法,由此构造了一种新的多层前馈神经网络的快速B—P学习算法即FB—P算法。通过对FB—P算法学习过程进行较详细的分析,本文还建立了一种改进的FB—P学习算法即MFB—P算法。最后本文以三层前馈神经网络识别五类地面目标图像为例,对文中提出的FB—P和MFB—P学习算法的性能(即学习速度与推广特性)进行了计算机仿真实验,同时与B—P学习算法的性能作比较,理论分析与仿真实验表明:MFB—P与FB—P学习算法比B—P学习算法具有更快的收敛速度,且MFB—P算法收敛最快;MFB—P算法比FB—P和B—P学习算法具有更好的推广特性,而后两者的推广特性则大致相同。     

基于TFD-Hough变换的毫米波导引头微运动参数提取算法

分析了旋转目标的微多普勒特性与微运动参数的关系,指出其微多普勒信号为三参数的正弦调频信号。针对这一信号形式,推导了多分量正弦调频信号的时频分布特性,提出了一种在时频图上检测三参数正弦曲线的Hough变换方法,进而提出了一种基于TFD-Hough(time frequency distribution-Hough)变换的微运动参数提取算法。仿真实验和外场试验数据处理表明了该方法的有效性和鲁棒性。     

指标均衡性对评价结果的影响

本文针对一类需要考虑指标间均衡性的决策问题,利用Gini系数,提出了一种新的多目标决策方法。     

协调战略和运作计划的ATO型供应链设计集成模型

结合ATO型供应链运作的特点,从MRP中的物料单(BOM)入手,考虑产品结构,建立了以供应链收益最大化为目标的供应链整体设计集成模型,该模型同时协调战略层和运作层的生产计划。通过该模型可将企业运作层的随机模型和战略层确定性模型决策过程相互结合在一起,利用该迭代算法求出在保证每层中每个供应链企业最优产量情况下,供应链整体最优的生产计划安排。     

基于Malmquist指数的高校科研效率的实证分析

针对高校科研效率成为高校科研管理中的核心问题,并为高校科研发展的规划提供科学依据,提出了高校科研的动态效率测度的方法。该方法是Malmquist指数与数据包络分析的结合,获得对高校科研效率的动态测度,评价各高校的生产力水平在两期之间的变化情况,并通过Malmquist指数分解能获得高校科研的经济效率和技术效率,找出生产力变化的原因,为效率改进指明了方向。通过应用实例以说明该方法的有效性和适用性。     

基于虚拟仿真模型的PLC实训平台

为提高可编程逻辑控制系统实验教学效果,基于"西门子杯"中国智能制造挑战赛工业自动化赛项电梯仿真模型,以教学用5层电梯为被控对象,取代原有教学电梯的电气控制系统,采用西门子公司S7-1200系列可编程控制器、变频器、触摸屏,配置硬件系统端子,开发一款新型电梯教学实训平台,建立一种新型的"虚-实"结合的实验教学模式.同时,...     

Improved Approximate Minimum Degree Ordering Method and Its Application for Electrical Power Network Analysis and Computation

Electrical power network analysis and computation play an important role in the planning and operation of the power grid, and they are modeled mathematically as differential equations and network algebraic equations.The direct method based on Gaussian elimination theory can obtain analytical results. Two factors affect computing efficiency: the number of nonzero element fillings and the length of elimination tree. This article constructs mapping correspondence between eliminated tree nodes and quotient graph nodes through graph and quotient graph theories.The Approximate Minimum Degree(AMD) of quotient graph nodes and the length of the elimination tree nodes are composed to build an Approximate Minimum Degree and Minimum Length(AMDML) model. The quotient graph node with the minimum degree, which is also the minimum length of elimination tree node, is selected as the next ordering vector. Compared with AMD ordering method and other common methods, the proposed method further reduces the length of elimination tree without increasing the number of nonzero fillings; the length was decreased by about 10% compared with the AMD method. A testbed for experiment was built. The efficiency of the proposed method was evaluated based on different sizes of coefficient matrices of power flow cases.