Stable local dimensionality reduction approaches

Dimensionality reduction is a big challenge in many areas. A large number of local approaches, stemming from statistics or geometry, have been developed. However, in practice these local approaches are often in lack of robustness, since in contrast to maximum variance unfolding (MVU), which explicitly unfolds the manifold, they merely characterize local geometry structure. Moreover, the eigenproblems that they encounter, are hard to solve. We propose a unified framework that explicitly unfolds the manifold and reformulate local approaches as the semi-definite programs instead of the above-mentioned eigenproblems. Three well-known algorithms, locally linear embedding (LLE), laplacian eigenmaps (LE) and local tangent space alignment (LTSA) are reinterpreted and improved within this framework. Several experiments are presented to demonstrate the potential of our framework and the improvements of these local algorithms.     

混沌敏感性在图像加密中的2种应用

混沌系统的结构参数敏感性、初值敏感性和以同一分布遍历各态的特性较好地对应密码系统的一些基本特性。分析结构参数和初始值变化对混沌序列敏感性影响,得到混沌序列敏感性效应是一个积累过程。将混沌序列按照敏感性划分为混沌敏感性前后期序列并给出界定原则。探究混沌序列敏感性在图像加密时的2种不同应用。     

Higher order dispersive and dissipative hybrid method for the numerical solution of oscillatory problems

In this paper, an improved explicit two-step hybrid method with fifth algebraic order is derived. The new method possesses dispersion of order 10 and dissipation of order seven, which is first of its kind in the literature. Numerical experiment reveals the superiority of the new method for solving oscillatory or periodic problems over several methods of the same algebraic order.     

Board-Level Information Technology Governance Effects on Organizational Performance: The Roles of Strategic Alignment and Authoritarian Governance Style

ABSTRACT

We report on two empirical studies that explore key factors that help translate information technology governance by the board of directors into organizational performance. The first study shows that strategic alignment partially mediates the effect of board-level information technology governance on performance. The second study demonstrates that authoritarian governance style negatively moderates the effect of board-level information technology governance on performance. Together, these studies open up the black box between board-level information technology governance and organizational performance.     

垂线偏差对空中对准航向误差的影响研究

针对性分析了垂线偏差变化对空中对准航向精度的影响.首先给出了常用空中对准降阶滤波模型,分析了垂线偏差变化影响空中对准航向误差的机理.然后通过实测离线数据测试验证了垂线偏差对空中对准航向误差的影响.最后通过误差协方差分析方法仿真了降阶滤波模型在真实世界中的滤波性能.离线测试及仿真结果表明:在给定条件下垂线偏差变化率对航向误差的影响相对其他未建模惯性测量组件误差是主要的,对航向对准误差影响较大,可达0.15°.在中高精度应用中为保证在不同空域内空中对准航向精度考虑采用高精度重力场模型对垂线偏差进行补偿是必要的.     

基于初始磁导率的铁氧体裂纹检测

铁氧体是电子电路中广泛使用的抗干扰元件,生产中应力引发的内部缺陷裂纹严重影响其电气性能。其传统检测方法准确率低、速度慢,难以满足产品的快速检测需求。将基于初始磁导率的缺陷检测方法运用于铁氧体工件的检测,对检测传感器进行优化,使之能够在微小激励下获得准确的输出响应。对改进前后的传感器进行了对比实验,分别就其结构、尺寸、磁导率等参数进行了针对性分析,证明了该检测方法和参数优化的有效性。     

大方位失准角传递对准非线性模型研究

针对惯导系统大方位失准角传递对准的非线性误差方程不准确问题,同时考虑杆臂效应和挠曲变形两种主要误差因素来建立挠曲变形和杆臂效应加速度一体化误差模型,从而完善惯导系统大方位失准角传递对准非线性模型.针对非线性滤波的稳定性和快速性问题,采用比例修正无味卡尔曼(UKF)滤波模型估计姿态失准角,并采用速度匹配算法对模型的正确性和滤波的有效性进行仿真验证.结果表明,该模型在大方位失准角传递对准时可以满足对准精度和时间的要求.     

一种优化初始聚类中心的K-means聚类算法

针对K-means算法中的初始聚类中心是随机选择这一缺点进行改进,利用提出的新算法选出初始聚类中心,并进行聚类。这种算法比随机选择初始聚类中心的算法性能有所提高,具有更高的准确性。     

一种调和序列生成及其在故障定位中的应用

为了提高软件的可靠性,在软件运行发生故障时,快速、准确地定位故障点成为非常有意义的研究课题。与以往方法不同,在将故障运行序列和最部近运行序列进行差异对比前,为了避免选取第一条最近成功路径时引起的“盲区”使得后期搜索空间加大,引入了生物学基因序列比对原理,对最部近运行序列不是通过编辑距离比较进行选取,而是通过一条调和序列进行处理。实验表明,方法的故障定位效果较好。     

汉英双语库自动分段对齐研究

双语库对齐是自然语言处理研究的重 要课题之一.其中,双语库段落对齐是指找出源文和译文中对应的翻译段落的对齐过程.它上 承篇章对齐,下接句子对齐,在整个双语库的对齐中起着承上启下的重要作用.但由于种种原 因,双语库段落对齐在当今研究中没有受到应有的重视.直接进行通用的段落自动对齐具有相 当的难度,也不必要,鉴于此,提出将段落对齐转化成分段对齐进行实现.通过汉英词汇对之 间的特征比较,首先找到可以用于汉英双语库分段的锚点词汇对,在此基础上,通过锚点词所 在句子的匹配获得锚点句子对来进行分段.实验结果表明,该方法具有良好的使用价值,可以 用于其他语言对的对齐.