Influence of sex and specialty on the prediction of middle-distance running performances using the Mercier et al.’s nomogram

The aim was to test the influence of sex and specialty (3000, 5000 and 10000 m) on the validity of middle-distance running performance predictions obtained from the Mercier et al.’s nomogram. Consequently, we examined all official French track running rankings for the 3000-, 5000- and 10000-m events (men and women) from 2006 to 2012. A scoring table was used to determine the runners’ specialties. Only runners who performed in the three distance events within the same year were included (75 women and 400 men). The Mercier et al.’s nomogram was used to predict one running performance from the other two. The results showed no significant difference between actual and predicted running performances (P = 0.77). Female runners had significantly lower performances than male runners (P < 0.001). Specialty did not influence performances (P = 0.11). Very high correlations were found between actual and predicted performances (0.91 < r < 0.99), with the exception of women (r = 0.85) in 5000 m. Moreover, low limits of agreement were obtained for male and female runners, whatever the specialty. These results support the validity of the nomogram to predict running performance in the 3000-, 5000- and 10000-m events for male and female runners, whatever the specialty. The predicted running performances may be used in training programmes (e.g., to prescribe tempo runs) and competitions (e.g., to establish split times).     

基于Simulink的燃料电池汽车混合动力电驱动系统仿真

首先分析了燃料电池汽车混合动力电驱动系统基本结构并给出了等效电路,建立了电驱动系统的动态数学模型,主要包括:燃料电池系统、动力蓄电池、电动机和DC/DC转换器四个模块。采用最小二乘法对模型的参数进行了估计,典型工况下的估计结果显示模型的准确性。其次根据设计目标要求,设计了主要部件的功率参数,并提出了适合不同工作模式的车辆控制策略。然后基于Simulink软件平台,建立了前向式仿真模型。最后进行仿真试验,其结果分析表明,建立的电驱动系统模型有较好的动力性、经济性和平顺性,为燃料电池汽车整车研究提供了仿真平台。     

非齐次等式约束线性回归模型回归系数的广义条件岭估计

时非齐次等式约束线性回归模型回归系数提出广义条件岭估计.证明了在一定的条件下,在均方误差矩阵、均方误差及广义均方误差意义下,广义条件岭估计都优于约束最小二乘估计和狭义条件岭估计.     

基于EM算法的MIMO-OFDM系统半盲信道估计研究

文章通过对MIMO-OFDM(Multiple Input Multiple Output Orthogonal Frequency Division Mul-tiPlexing)系统及其信道估计的分析,针对MIMO-OFDM系统提出一种基于EM的半盲信道估计算法。不仅有利于减少MIMO-OFDM的系统开销,且有助于提高系统的信道估计精度,降低了计算的复杂度。     

经验似然在正态分布中的应用

正态分布为概率论中很重要的一种分布,在科学研究中有着重要的地位,该分布由均值和方差两个变量决定。常用的参数估计法为矩法估计和极大似然估计,经验似然作为一种新的估计方法,同样适用于其它常用的分布。     

MIMO-OFDM 系统中同信道干扰抑制

针对 MIMO-OFDM 系统,提出了一种最大后验概率的信道矩阵和干扰协方差矩阵估计方法,并设计了迭代求解算法。利用所估计的信道矩阵和干扰协方差矩阵,采用 IRC 接收机完成同信道干扰的抑制。利用干扰协方差阵的共轭对称与半正定等特性,提出2种干扰协方差矩阵的处理方案以提高其估计精度。第1种方案将每个子载波上干扰协方差矩阵表征为一系列时域矩阵之和,第2种方案将每个子载波上的干扰协方差矩阵用低阶模型来建模,其中模型阶数通过最小描述长度算法估计。仿真结果表明了所提方案的有效性。     

Estimation of a Nonlinear Intervention Phase Trajectory for Multiple-Baseline Design Data

A multilevel logistic model for estimating a nonlinear trajectory in a multiple-baseline design is introduced. The model is applied to data from a real multiple-baseline design study to demonstrate interpretation of relevant parameters. A simple change-in-levels (ΔLevels) model and a model involving a quadratic function (Quadratic) for the nonlinear intervention phase data were also estimated. In addition, a simulation study was conducted to assess Markov chain Monte Carlo estimation of the logistic model and compare its trajectory recovery with use of the ΔLevels and Quadratic models. While most of the logistic model's parameter values were recovered well, trajectory recovery was very reasonable using the simpler Quadratic model. Results are discussed along with recommendations for practitioners and directions for future research.     

一种改进的DV-HOP算法在WSN中的定位研究

如何能够更好的提高节点定位一直都是WSN研究的重点,本文在DV-HOP定位算法的基础上,从误差精度,锚节点稳定度和反向学习选择-最小二乘估计来对节点定位的3个方面进行改进。首先在定位误差精度中引入混沌优化算法,其次在锚节点处理中引入稳定度概念,最后在未知节点定位中引入反向学习和最小二乘估计。改进后的算法在通信半径和拓扑结构两个方面进行了仿真实验,实验表明,本文算法能够有效的减少计算带来的定位误差,提高定位精度。     

湖北省耕地资源净外部性价值量测算及财政转移支付

耕地资源既能产生生态效益,为整个社会提供生态福利,具有正外部性,同时也会因为不合理利用而损坏人类的福利,产生负外部效应。仅仅估算耕地的正外部性价值量,可能会高估耕地保护经济补偿额,不利于耕地保护政策的实施。本文以湖北省102个县(市、区)为例,分别测算了耕地的正外部性和负外部性价值量,进而得出耕地的净外部性价值量;此外,通过测算各区域内部的外部性需求量得出耕地保护的外部性盈亏水平,并据此实施跨区域的财政转移支付,以均衡各区域的发展。研究结果表明:①湖北省大部分地区的耕地对外界环境均起到了正面影响,但省内耕地资源的净外部性水平差异明显;②扣除区域内部的外部性需求量,湖北省共有41个县(市、区)耕地保护的外部性有盈余,属于财政转移支付受偿区;同时,共有61个县(市、区)耕地资源的外部性处于亏损状态,属于财政转移支付支付区;③财政转移支付行为具有一定的现实可操作性。各个县(市、区)的转移支付额占当年地方政府财政收入的比例较低,约为0.007%~5.030%,均在政府可承受的范围内。研究成果为耕地保护经济补偿政策的实施提供了一定的理论依据。     

Information resources estimation for accurate distribution-based concept drift detection

Machine learning applications must continually utilize label information from the data stream to detect concept drift and adapt to the dynamic behavior. Due to the computational expensiveness of label information, it is impractical to assume that the data stream is fully labeled. Therefore, much research focusing on semi-supervised concept drift detection has been proposed. Despite the large research effort in the literature, there is a lack of analysis on the information resources required with the achievable concept drift detection accuracy. Hence, this paper aims to answer the unexplored research question of “How many labeled samples are required to detect concept drift accurately?” by proposing an analytical framework to analyze and estimate the information resources required to detect concept drift accurately. Specifically, this paper disintegrates the distribution-based concept drift detection task into a learning task and a dissimilarity measurement task for independent analyses. The analyses results are then correlated to estimate the required number of labels within a set of data samples to detect concept drift accurately. The proximity of the information resources estimation is evaluated empirically, where the results suggest that the estimation is accurate with high amount of information resources provided. Additionally, estimation results of a state-of-the-art method and a benchmark data set are reported to show the applicability of the estimation by proposed analytical framework within benchmarked environments. In general, the estimation from the proposed analytical framework can serve as guidance in designing systems with limited information resources. This paper also hopes to assist in identifying research gaps and inspiring new research ideas regarding the analysis of the amount of information resources required for accurate concept drift detection.