Correlation and path coefficient analyses were conducted for 10 characteristics of 24 pure lines of flue-cured tobacco such as plant height, knot distance, leaf number, the central leaf length and width, ratio of the ...Correlation and path coefficient analyses were conducted for 10 characteristics of 24 pure lines of flue-cured tobacco such as plant height, knot distance, leaf number, the central leaf length and width, ratio of the length to width, stem girth, dates of budding, leaf yield and ratio of the prime-medium tobacco. The leaf number and the central leaf length showed a positive or a strong positive correlation with the yield per plant. And the leaf number and leaf yield per plant showed a strong positive correlation with the ratio of prime-medium tobacco. The results showed that the leaf yield per plant among these characteristics played a major role in determining the ratio of prime-medium tobacco while the others were less related with the ratio. Square sum of deviation method cluster analyses showed that 24 pure lines of flue-cured tobacco were clustered into two groups. Of the pure lines, Line T1706 and Line T1245 had a far relationship with all other lines, and also had a heterosis when crossed with the other lines. Lines Guangdonghuang 1 and R72（3）B-2-1 were closely related.展开更多
Pantograph-catenary contact force provides the main basis for evaluation of current quality collection; however,the pantograph-catenary contact force is largely affected by the catenary irregularities.To analyze the c...Pantograph-catenary contact force provides the main basis for evaluation of current quality collection; however,the pantograph-catenary contact force is largely affected by the catenary irregularities.To analyze the correlated relationship between catenary irregularities and pantograph-catenary contact force,a method based on nonlinear auto-regressive with exogenous input(NARX) neural networks was developed.First,to collect the test data of catenary irregularities and contact force,the pantograph/catenary dynamics model was established and dynamic simulation was conducted using MATLAB/Simulink.Second,catenary irregularities were used as the input to NARX neural network and the contact force was determined as output of the NARX neural network,in which the neural network was trained by an improved training mechanism based on the regularization algorithm.The simulation results show that the testing error and correlation coefficient are 0.1100 and 0.8029,respectively,and the prediction accuracy is satisfactory.And the comparisons with other algorithms indicate the validity and superiority of the proposed approach.展开更多
The cyclic cross-correlation between a stationary process and a cyclostationary process at cycle frequency α(≠ 0)is identically zero under an ideal condition, which indicates that a cyclic cross-correlation method p...The cyclic cross-correlation between a stationary process and a cyclostationary process at cycle frequency α(≠ 0)is identically zero under an ideal condition, which indicates that a cyclic cross-correlation method performs much better than the conventional cross-correlation method in suppressing the stationary noise or interference. But unfortunately, the cyclic cross-correlation will not really approach zero due to the limited data length in some real conditions. In this paper, the quantitative relation between the data length and the estimated cyclic cross-correlation is deduced, and some useful conclusions are drawn, which are proven by some computer simulations. The conclusion in this paper is really useful for the practical application of cyclostationary signal processing.展开更多
为探索有氧运动与心血管疾病患者心脏功能、脂质代谢和炎症关联性,通过检索PubMed、Embase、Scopus和中国知网(CNKI)数据库中有氧运动与心血管疾病患者心脏功能、脂质代谢和炎性因子影响的相关研究,利用RevMan5.4和R软件进行Meta和关联...为探索有氧运动与心血管疾病患者心脏功能、脂质代谢和炎症关联性,通过检索PubMed、Embase、Scopus和中国知网(CNKI)数据库中有氧运动与心血管疾病患者心脏功能、脂质代谢和炎性因子影响的相关研究,利用RevMan5.4和R软件进行Meta和关联性分析。结果表明:有氧运动显著降低了B型利钠肽(B-type natriuretic peptide,BNP)[标准化均数差(standardized mean difference,SMD)=-0.84,95%CI(-1.34,-0.34),P=0.001]、收缩压(SBP)[SMD=-0.55,95%CI(-0.86,-0.25),P=0.0004]和舒张压(DBP)[SMD=-0.99,95%CI(-1.67,-0.32),P=0.004]、LDL[SMD=-0.53,95%CI(-0.89,-0.18),P=0.003]和C-反应蛋白(CRP)[SMD=-0.53,95%CI(-0.90,-0.16),P=0.005]。CRP和HDL、LDL、DBP呈正相关,相关系数分别为0.35、0.26和0.28;CRP与SBP呈负相关,相关系数为-0.31。由此可见,心血管疾病患者参与有氧运动能够在一定程度改善心脏功能、脂质代谢和炎症因子水平,并且心脏功能和脂质代谢、炎症之间存在相关性。展开更多
针对传统谐波责任划分方法需采用专门同步设备监测数据,且需基于等值电路模型划分谐波责任,工程应用较为复杂等不足,采用现有谐波监测装置非同步测量数据,提出一种综合考虑了数据非同步性、场景划分和数据相关性的谐波责任划分方法。首...针对传统谐波责任划分方法需采用专门同步设备监测数据,且需基于等值电路模型划分谐波责任,工程应用较为复杂等不足,采用现有谐波监测装置非同步测量数据,提出一种综合考虑了数据非同步性、场景划分和数据相关性的谐波责任划分方法。首先,对原始非同步监测数据集采用分段聚合近似算法进行降噪预处理,利用形状动态时间规整算法(shape dynamic time warping,ShapeDTW)实现数据匹配对齐;然后,利用点排序识别聚类结构的聚类算法(ordering points to identify the clustering structure,OPTICS)划分场景以处理电力系统中因负荷投切和无功补偿装置切换等情况导致的谐波责任变化;最后,基于相关性分析构建场景谐波责任和总谐波责任指标,在指标构建的过程中引入了场景时长占比这一因素以得到更加科学合理的总谐波责任值。通过仿真验证和电网实例验证,该方法能基于现有非同步性监测数据实现各用户合理时间尺度动态谐波责任划分,可为工程上的快速谐波责任划分提供一定的新思路和新方法。展开更多
基金Supported by Platform Construction for Germplasm Resources of China Tobacco (2007, 152)
文摘Correlation and path coefficient analyses were conducted for 10 characteristics of 24 pure lines of flue-cured tobacco such as plant height, knot distance, leaf number, the central leaf length and width, ratio of the length to width, stem girth, dates of budding, leaf yield and ratio of the prime-medium tobacco. The leaf number and the central leaf length showed a positive or a strong positive correlation with the yield per plant. And the leaf number and leaf yield per plant showed a strong positive correlation with the ratio of prime-medium tobacco. The results showed that the leaf yield per plant among these characteristics played a major role in determining the ratio of prime-medium tobacco while the others were less related with the ratio. Square sum of deviation method cluster analyses showed that 24 pure lines of flue-cured tobacco were clustered into two groups. Of the pure lines, Line T1706 and Line T1245 had a far relationship with all other lines, and also had a heterosis when crossed with the other lines. Lines Guangdonghuang 1 and R72（3）B-2-1 were closely related.
基金Project(20120009110035)supported by Specialized Research Fund for the Doctoral Program of Higher Education of ChinaProject(2011BAG01B05)supported by National Key Technology Research and Development Program of ChinaProject(2011AA110501)supported by National High-tech Research and Development Program of China
文摘Pantograph-catenary contact force provides the main basis for evaluation of current quality collection; however,the pantograph-catenary contact force is largely affected by the catenary irregularities.To analyze the correlated relationship between catenary irregularities and pantograph-catenary contact force,a method based on nonlinear auto-regressive with exogenous input(NARX) neural networks was developed.First,to collect the test data of catenary irregularities and contact force,the pantograph/catenary dynamics model was established and dynamic simulation was conducted using MATLAB/Simulink.Second,catenary irregularities were used as the input to NARX neural network and the contact force was determined as output of the NARX neural network,in which the neural network was trained by an improved training mechanism based on the regularization algorithm.The simulation results show that the testing error and correlation coefficient are 0.1100 and 0.8029,respectively,and the prediction accuracy is satisfactory.And the comparisons with other algorithms indicate the validity and superiority of the proposed approach.
文摘The cyclic cross-correlation between a stationary process and a cyclostationary process at cycle frequency α(≠ 0)is identically zero under an ideal condition, which indicates that a cyclic cross-correlation method performs much better than the conventional cross-correlation method in suppressing the stationary noise or interference. But unfortunately, the cyclic cross-correlation will not really approach zero due to the limited data length in some real conditions. In this paper, the quantitative relation between the data length and the estimated cyclic cross-correlation is deduced, and some useful conclusions are drawn, which are proven by some computer simulations. The conclusion in this paper is really useful for the practical application of cyclostationary signal processing.
文摘为探索有氧运动与心血管疾病患者心脏功能、脂质代谢和炎症关联性,通过检索PubMed、Embase、Scopus和中国知网(CNKI)数据库中有氧运动与心血管疾病患者心脏功能、脂质代谢和炎性因子影响的相关研究,利用RevMan5.4和R软件进行Meta和关联性分析。结果表明:有氧运动显著降低了B型利钠肽(B-type natriuretic peptide,BNP)[标准化均数差(standardized mean difference,SMD)=-0.84,95%CI(-1.34,-0.34),P=0.001]、收缩压(SBP)[SMD=-0.55,95%CI(-0.86,-0.25),P=0.0004]和舒张压(DBP)[SMD=-0.99,95%CI(-1.67,-0.32),P=0.004]、LDL[SMD=-0.53,95%CI(-0.89,-0.18),P=0.003]和C-反应蛋白(CRP)[SMD=-0.53,95%CI(-0.90,-0.16),P=0.005]。CRP和HDL、LDL、DBP呈正相关,相关系数分别为0.35、0.26和0.28;CRP与SBP呈负相关,相关系数为-0.31。由此可见,心血管疾病患者参与有氧运动能够在一定程度改善心脏功能、脂质代谢和炎症因子水平,并且心脏功能和脂质代谢、炎症之间存在相关性。
文摘针对传统谐波责任划分方法需采用专门同步设备监测数据,且需基于等值电路模型划分谐波责任,工程应用较为复杂等不足,采用现有谐波监测装置非同步测量数据,提出一种综合考虑了数据非同步性、场景划分和数据相关性的谐波责任划分方法。首先,对原始非同步监测数据集采用分段聚合近似算法进行降噪预处理,利用形状动态时间规整算法(shape dynamic time warping,ShapeDTW)实现数据匹配对齐;然后,利用点排序识别聚类结构的聚类算法(ordering points to identify the clustering structure,OPTICS)划分场景以处理电力系统中因负荷投切和无功补偿装置切换等情况导致的谐波责任变化;最后,基于相关性分析构建场景谐波责任和总谐波责任指标,在指标构建的过程中引入了场景时长占比这一因素以得到更加科学合理的总谐波责任值。通过仿真验证和电网实例验证,该方法能基于现有非同步性监测数据实现各用户合理时间尺度动态谐波责任划分,可为工程上的快速谐波责任划分提供一定的新思路和新方法。
