企业组织变革的影响因素及变革模式实证分析:以新创科技企业为例

利用因子分析法将影响组织变革的指标变量综合简化,甄别主要影响因素;借助于结构方程模型刻画组织变革的影响因素对于组织变革过程以及组织绩效的影响程度,验证了组织变革动力因素中组织内部因素作用大于外部因素的假设,指出充分利用变革的动力因素比极力排斥阻力因素的组织绩效更高,从而形成基于创新的,强调组织知识和结构创新的新创科技企业组织变革模式。     

储蓄——收入模型的转变点分析

本文利用线性回归模型分析改革开放以来我国居民储蓄与收入的关系 ,并引入转变点理论研究二者关系发生结构性转变的问题 ,最后讨论了影响储蓄增长的几个因素 .实证研究表明 ,90年代以来 ,随着经济环境的巨大变化 ,居民储蓄与收入的关系有所改变 ,储蓄的增长速度已经超过了收入的增长速度 .我们的研究还表明 ,当用时间跨度较大的样本时 ,结论虽符合长期趋势 ,但考虑到其可信度及从时效性角度看对近期宏观政策的现实指导意义 ,常规的回归分析应该加入转变点检验 ,以防忽略系统结构性转变 .     

Change of grading,injective dimension and dualizing complexes

Let G,H be groups, φ:G→H a group morphism, and A a G-graded algebra. The morphism φ induces an H-grading on A, and on any G-graded A-module, which thus becomes an H-graded A-module. Given an injective G-graded A-module, we give bounds for its injective dimension when seen as H-graded A-module. Following ideas by Van den Bergh, we give an application of our results to the stability of dualizing complexes through change of grading.     

A new model for automatic normalization of multitemporal satellite images using Artificial Neural Network and mathematical methods

Relative Radiometric Normalization is often required in remote sensing image analyses particularly in the land cover change detection process. Normalization process minimizes the radiometric differences between two images caused by inequalities in the acquisition conditions rather than changes in surface reflectance. A wide range of RRN methods have been developed to adjust linear models. This paper proposes an automated Relative Radiometric Normalization (RRN) method to adjust a non-linear model based on an Artificial Neural Network (ANN) and unchanged pixels. The proposed method includes the following stages: (1) automatic detection of unchanged pixels based on a new idea that uses CVA (Change Vector Análysis) method, PCA (Principal Component Analysis) transformation and K-means clustering technique, (2) evaluation of different architectures of perceptron neural networks to find the best architecture for this specific task and (3) use of the aforementioned network for normalizing the subject image. The method has been implemented on two images taken by the TM sensor. Experimental results confirm the effectiveness of the presented technique in the automatic detection of unchanged pixels and minimizing imaging condition effects (i.e., atmosphere and other effective parameters).     

Quasi-maximum likelihood estimation for multiple volatility shifts

We propose the Gaussian quasi-maximum likelihood estimator (QMLE) to detect and locate multiple volatility shifts. Our Gaussian QMLE is shown to be consistent under suitable conditions and the rate of convergence is provided. It is also shown that the binary segmentation procedure provides a consistent estimation for the number of volatility shifts.     

监测Lévy稳定过程均值变点的平均运行时间估计

平均运行长度(时间)(ARL)是判断一控制图监测变点效果好坏的一个重要工具.本文主要研究Lévy稳定过程的均值变点监测问题.我们给出了三个控制图,即EWMA,GEWMA和GLR的ARL估计,并通过数值模拟比较了4个控制图监测均值变点的效果和差异.     

监测L\'{e}vy稳定过程均值变点的平均运行时间估计

平均运行长度(时间) (ARL)是判断一控制图监测变点效果好坏的一个重要工具\bd 本文主要研究L\'{e}vy 稳定过程的均值变点监测问题\bd 我们给出了三个控制图, 即EWMA, GEWMA和GLR的ARL 估计, 并通过数值模拟比较了4个控制图监测均值变点的效果和差异.     

Milling time and BPR dependence on permeability and losses of Ni0.5Zn0.5Fe2O4 synthesized via mechanical alloying process

Ni_0.5Zn_0.5Fe₂O₄ has been synthesized using mechanical alloying method with two variables (milling time and ball-to-powder weight ratio (BPR)) were varied in order to study its effect on the magnetic properties of the material. The effects of these two variables were studied using XRD, SEM, TEM and later by impedance analyzer with the frequency range from 1 MHz to 1.8 GHz. The results obtained however show that there are no significant trends to relate the milling time and BPR with the permeability and losses of the material studied. After being sintered at 1150 °C, all the effects of alloying process seem to diminish.     

光流动态纹理在土地利用/覆盖变化检测研究中的应用

建议了一种基于光流动态纹理（optical flow dynamic texture）的高分辨率遥感影像变化检测新方法,用一种运动的关系描述地物变化,能够在多时相高分辨率遥感影像中自动获取土地利用和土地覆盖的变化信息。利用光流理论从原理上描述了地物渐变的过程,突破了以往遥感变化检测方法中认为地物发生突变的假设。该方法的流程简单,易于在目前的土地管理、城市规划等需要发现用地变化的系统和软件中使用。该方法考虑到了多时相遥感影像间的时间维度特征,为遥感变化检测提供了更加丰富的信息,进而改善了变化检测方法主要依赖空间维度信息的现状。以光流动态纹理作为变化的基本体现,结合光谱信息共同用于高分辨率遥感影像的支持向量机分类后变化检测,方法顾及了遥感影像时间维度的纹理,相较大多数空间纹理其数据量较小;纹理计算仅需设定一个参数,自动程度较高;可缓解行业中大量人工解译的现状。通过利用中国大庆市杜尔伯特蒙古自治县2011年和2012年QuickBird影像对该方法的有效性进行了评价。深入分析了不同的光流平滑系数α对该方法的影响,以及对地物变化描述效果的影响。实验结果显示,该方法效果理想,总体精度达到87.29%、Kappa系数达到0.850 7,其精度优于单纯利用光谱信息的分类后变化检测方法。     

正确认识观念更新中的几个关系问题

观念要更新已不是什么新的提法。当前重要的问题是,如何在世界观、方法论上对观念更新给予正确的指导。我们的理论应当正确解决三个关系问题:一是把观念的更新建立在对社会现象作历史唯物主义分析的基础上;二是观念更新要实事求是、遵循客观规律性;三是要在抛弃旧观念、继承优良传统中实现观念的更新。