查询词典 normal correlation

Results:Normal segment:DEM 8.89±1.21mm,VDEM2.30±0.76cm/s;Hypokinetic segment:DEM 4.56±0.53mm,VDEM 1.89±0.35cm/s;Akinetic segment:DEM 2.13±0.45mm,VDEM 0.95±0.07cm/s.There was a significant overall difference in DEM and VDEM (P0.0001)among wall motion grades.1/3 VDEM was greater than 2/3 VDEM in normal(P0.0001)and hypokinetic(P0.05)segments,though 1/3 VDEM was slower than 2/3 VDEM in akinetic segments(P0.0001).There was also high correlation between 1/3 DEM and 1/3DEMF in both normal(r＝0.81,P0.0001,y＝0.75x＋0.16)and OMI(r＝0.91,P0.0001,y＝0.74x＋0.10)groups.Conclusion:Analysis of color kinesis image can quantitatively assess regional and global diastolic function.

结果：运动正常节段：DEM8.89±1.21mm，VDEM2.30±0.76cm/s；运动减弱节段：DEM 4.56±0.53mm，VDEM1.89±0.35cm/s；运动消失节段：DEM2.13±0.45mm，VDEM0.95±0.07cm/s；三种不同室壁运动状态间的DEM、VDEM均存在显著性差异PDEM显著快于2/3VDEM(4.56±1.18cm/s vs 1.26±0.34cm/s，PDEM略快于2/3VDEM2.14±0.66cm/s vs 1.76±0.47cm/s，PDEM显著低于2/3 VDEM(1.23±0.52cm/s vs 1.37±0.30cm/s，P结论：彩色室壁运动技术能定量评价左室局部和整体舒张功能。

Analyzed the correlation of different genotypes and productive performances in Sutai pigs with the BB、BD and DD genotypes of HaeⅢdigestion analysis and Sutai pigs with the AA、AB、BB genotypes of RsaⅠdigestion analysis, the results showed significant correlation with postweaning viability in the second litter, and the significant correlation with the total litter, number of viable pigs, litter weight at birth, number of ablactation pigs and litter weight after ablactation in the third litter.

8苏太猪SLA-DQB不同基因型的生产性能比较表明，HaeⅢ酶切的3种基因型BB、BD和DD分别与RsaⅠ酶切的3种基因型AA、AB、BB相对应，HaeⅢ酶切的3种基因型和RsaⅠ酶切的3种基因型均与2胎断奶成活率显著相关，与3胎总产仔数、产活仔数、初生窝重、断奶仔猪数和断奶窝重显著相关，与6胎总产仔数、断奶仔猪数和断奶窝重也显著相关。

The fluctuation structures were observed in theexcitation function of all the outgoing channels.Statistics method based on thefluctuation correlation was used to study and analyze the excitation systematically,which demonstrates a series of characters in the dissipative collision 〓 and〓 by which they are different from the compound nuclei in the cross sectionfluctuation,such as strong correlation among outgoing channels,long range energycorrelation and angular correlation.

各个出射道的激发函数中都观测到了涨落结构，运用涨落关联的统计理论方法对激发函数进行了系统地研究和分析，揭示出〓和〓耗散反应截面涨落区别于复合核截面涨落的一系列特征性质，如强烈的出射道关联、长程的能量关联和长程的角度关联。

The common method, that all strong-correlation terms of the model are eliminated, can bring the loss in the engineering application, so the new method is proposed that the identified model reserves some correlation. The augmented matrix A is constructed by the outputΔW and the matrix S. The"determinating order based on ratio of determinant"is brought out to screen the strong-correlation terms in the structure identification. The latent root estimation is improved in screening the eigenvalues and eigenvectors. Thus the estimation precision is improved greatly.The consistence check of guidance instrument error coefficients of flight test and ground test is the purpose of flight experiment. The causes of inconsistency of the two models are analyzed. The hypothesis test of linear regression model based on F statistics is proposed to check the consistence.Finally, the instability of error coefficients is probably caused by the change of the flight environments, therefore, the relation between the error coefficients and flight environment is analyzed. The approach is presented to identify SINS guidance instrument error models and compensate the error in the segmented sections corresponding to the change of vertical acceleration of aircraft.

在结构辨识中，常用的方法由于将模型中的强相关项全部剔除而给工程应用带来损失，因此，本文提出了新的有益思想，即在保留一定相关性的基础上进行辨识：将输出向量ΔW与环境函数矩阵S构成增广矩阵A，然后采用"比定阶行列式"来剔除相关向量的方法，这样既可以尽可能多地保留了对落点影响大的强相关参数，又可以对落点影响小的强相关参数给予剔除；在参数估计中，改进了特征根估计中特征根和特征向量的筛选方法，提出"近零"准则，从而大大提高了参数估计的精度；再者，鉴于天地模型"一致性"检验是飞行试验和SINS制导工具误差系数分离的主要目的，因此，本文又深入分析了造成天地模型不一致的原因，提出了采用基于F统计的线性回归模型假设检验方法来进行捷联制导工具误差模型的天地"一致性"检验；最后，鉴于飞行环境剧烈变化可能会对惯性仪表误差系数稳定性带来一定的影响，因此本文深入地分析了SINS制导工具误差系数与外界环境的关系，提出了基于过载变化大小的分段辨识和分段实时补偿的算法。

In group which had significantly correlation to multiple charactergroups, the largest canonical correlation coefficient contained smaller ratio of geneticcorrelation information in total genetic correlation information than other singlecharacter group.

一般与多个性状组间的典型相关分析达到显著水平，但最大的典型相关系数包含的遗传信息占总相关信息的比率反而减小。

Experimental results indicated that the first canonical correlation coefficient and the second canonical correlation coefficient was 0.8451 and 0.7843 respectively, they have constituted 91.37% of the total correlation. The first canonical variable (V1) of the response signals group had certain predicted ability on physicochemical index of milk, but the predicted ability was a little weak, response signals of ZZ sensor(X1)、CA sensor(X4) and JB sensor(X7) played a crucial role .At the same time, four canonical variable V and W have explained 42.49% and 43.25% of the total variances of the other group respectively.

试验结果表明：第一典型相关系数和第二典型相关系数分别是0.8451 和 0.7843，前两对典型变量共占总相关的91.37%；响应信号组的第一典型变量(V1)对牛奶理化指标具有一定的预测能力，但预测能力较弱，起主要作用的是ZZ传感器响应信号(X1)、CA传感器响应信号(X4)和JB传感器响应信号(X7)；与此同时，V和 W 的四个典型变量分别解释另一组变量总方差的42.49%和43.25%。

The results showed that the first canonical correlation coefficient between aldehydes, ketones, esters and the total quantity of each kind of ingredient and smoking quality achieved 5 % or 1 % remarkable level. And their correlation depended mainly in the correlation between phenylacetaldehyde, furfural, megastigmatrienone-1, megastigmatrienone-3, geranylacetone,β-damascenone, keto-isophorone, dihydroactinidiolide and smoking quality.

结果表明：醛类成分、酮类成分、酯类成分与香气质、香气量的第一典型相关系数达到5%或1%显著水平，各类成分总量与香气质、香气量的第一典型相关系数达到1%极显著水平，其相关关系主要表现在苯乙醛、糠醛、巨豆三烯酮1、巨豆三烯酮3、香叶基丙酮、β-大马酮、氧化异佛尔酮、二氢猕猴桃内酯等成分与香气质、香气量的相关上。

This contour phase correlation method is superior to the conventional phase correlation in two aspects. Firstly, the contours of images are extracted, and the phase correlation is applied to the contours of images instead of the whole original images, which is more efficient and robust. Secondly, when there are multiple peak values approximate to the maximum peak value in the δ function array, the corresponding translations can be regarded as candidate translations and calculated separately, and the best translation should be determined by the optimization of conformability of two images in the overlapping area.

本轮廓相位相关算法对常规的相位相关算法作了两点改进：(1)提取出图像的轮廓，只对二值化的轮廓图像进行相位相关计算，效率和鲁棒性提高；(2)当相位相关的δ函数阵列中存在多个和最大峰值比较接近的峰值时，将其对应的平移量都作为候选平移量，然后根据重叠区图像的一致性选取其中的最佳值。

Firstly, this paper investigated roundly the basic theory of the ambient vibration method, analyzed systematically the main methods of ambient vibration identification, and discussed their advantages and disadvantages. Then we established the finite element model of structural dynamics and test model and analyzed their mutual relation, improved MUSIC method and correlation function method in the harmonic identification, and gave the subspace method and correlation function method based on continuous model, which is multi-harmonic retrieve technique. And then, this paper also puts forward least-squares method to estimate directly structural physical and modal parameters; this approach replaced the derivative operator in the continuous time model with an equivalent approximation, and estimated the physical parameters of structures by the least-squares method. And then, we discussed the approximation methods of derivative and their convergence. Finally, this paper researched the modal parameters of a frame structure by the simulation and test. The results demonstrated that subspace method, correlation function method and the least-squares method are effective and stable respectively.

全面地研究环境振动识别方法的基本理论，系统地分析环境振动识别方法的主要方法，讨论它们的优点和不足；建立结(来源：6666AB44C论文网www.abclunwen.com)构动力学的有限元模型和试验模型，分析有限元模型与试验模型之间的相互关系；改进谐波识别中的MUSIC识别方法和相关函数识别方法，给出大型结构模态识别的连续型的子空间分解识别方法和相关函数识别方法，这个方法是多元谐波识别方法；提出直接识别结构的物理参数和模态参数的最小二乘方法，这个方法利用导数的近似值代替导数值，并运用最小二乘方法识别结构的物理参数，讨论导数近似值的选择方法，分析算法的收敛性；通过仿真计算和模型实验，研究高层框架结构的模态参数识别，验证子空间分解识别方法、相关函数识别方法和最小二乘识别方法的有效性，算法的稳定性；从理论和试验两个方面分析和研究噪声对识别精度的影响，影响识别精度的因素，以及部分模态成分的模态参数不能够被识别的原因。

The traits correlation analysis indicates: The table mould correlation of stem volume and height ,DBH ,crown width , has achieved the utmost point level of significance , The straightness with other traits correlation indicates that we can get some improvements when we select other traits.

发现它们的家系和单株遗传力大小关系：树高＞材积＞胸径＞冠幅＞高径比＞冠径比＞通直度；即树高生长相对其他性状具有较强的遗传力。

Now she was hungry and angry.She began to smoulder.

现在她又饿又气，她开始流露难以抑制的怒火。

You have placed our iniquities before You, Our secret sins in the light of Your presence.

诗90：8 你将我们的罪孽摆在你面前、将我们的隐恶摆在你面光之中。