Dependence of the 27-day variation of cosmic rays on the global magnetic field of the Sun

We show that the higher range of the heliolongitudinal asymmetry of the solar wind speed in the positive polarity period (A > 0) than in the negative polarity period (A < 0) is one of the important reasons of the larger amplitudes of the 27-day variation of the galactic cosmic ray (GCR) intensity in the period of 1995–1997 (A > 0) than in 1985–1987 (A < 0). Subsequently, different ranges of the heliolongitudinal asymmetry of the solar wind speed jointly with equally important corresponding drift effect are general causes of the polarity dependence of the amplitudes of the 27-day variation of the GCR intensity. At the same time, we show that the polarity dependence is feeble for the last unusual minimum epoch of solar activity 2007–2009 (A < 0); the amplitude of the 27-day variation of the GCR intensity shows only a tendency of the polarity dependence. We present a three dimensional (3-D) model of the 27-day variation of GCR based on the Parker’s transport equation. In the 3-D model is implemented a longitudinal variation of the solar wind speed reproducing in situ measurements and corresponding divergence-free interplanetary magnetic field (IMF) derived from the Maxwell’s equations. We show that results of the proposed 3-D modeling of the 27-day variation of GCR intensity for different polarities of the solar magnetic cycle are in good agreement with the neutron monitors experimental data. To reach a compatibility of the theoretical modeling with observations for the last minimum epoch of solar activity 2007–2009 (A < 0) a parallel diffusion coefficient was increased by ∼40%.     

不确定航迹自适应预测模型

针对现有航迹预测技术中，存在无模技术缺乏理论分析支持、能力有限、适用范围窄、有模技术先验假设过多、前提条件严苛、通用性差等问题，通过理论推导，利用循环和多层神经网络结构，研究提出了具有理论严谨、先验假设少、适用范围广、通用性强等优点的不确定航迹自适应预测模型，同时给出了典型的实现方法。该模型克服了现有航迹预测方法的缺点与不足，并具有无模与有模两类技术的优点与长处，仿真和实测实验验证表明：该模型能很好地提取识别出数据中存在的模式，并基于模式，进行正确有效地预测，能有效解决不同实际环境中的航迹预测问题，效果明显。     

中国民航货运市场分析和预测

对中国民航货运市场的特点及其发展状况进行了对比分析，剖析了国民经济与民航货运的内在关系，从而建立了货邮运输量和货邮周转量的非线性回归模型，预测出2005-2020年的中国航空货邮运输量和周转量，为中国民航货运部门进行决策提供了一定的科学依据。     

Logistic判别分析及其在阴道炎疗效成因分析与预测中的应用

本文用Logistic判别方法的数学模型及主成份分析法,分析了用洁尔阴医治阴道炎疗效的成因.并与距离判别法进行比较.     

Tomographic determination of the spatial distribution of water vapor using GPS observations

With the advent of the GPS navigation system, a promising ground based technique has been introduced which makes it possible to estimate the amount of water vapor in the troposphere from operational GPS networks at relatively low additional costs. While the estimation of the integrated amount is currently well established, the determination of the spatial water vapor distribution and its temporal variation are still a major challenge. To account for the vertical resolution, several tomographic approaches were pursued. We developed the software package AWATOS (atmospheric water vapor tomography software) which is based on the assimilation of double differenced GPS observations. Applying a least-squares inversion, the inhomogeneous spatial distribution of water vapor is determined. An extensive investigation has been carried out in Switzerland. GPS measurements are performed by the dense permanent Swiss national GPS network AGNES of the Swiss Federal Office of Topography (swisstopo). A total of 40 equally distributed water vapor profiles have been estimated on an hourly basis. For the purpose of validation, 22 radiosonde profiles were used at the GPS and meteorological station Payerne. Furthermore, data of the numerical weather model aLMo (alpine model in Switzerland, MeteoSwiss) were compared with the tomographic results. An overall good agreement of the three methods with an rms of better than 1.6 g/m³ absolute humidity was achieved. The results show that AGNES can be used as a dedicated network for the purpose of GPS-tomography, using a horizontal resolution of approximately 50 km and height layers of 300–500 m thickness in the lower troposphere.     

基于改进HMM和LS-SVM的机载设备故障预测研究

针对传统故障预测方法不能直接预测设备状态的不足,提出了将改进隐马尔科夫模型（HMM）和最小二乘支持向量机（LS—SVM）相结合的机载设备故障预测方法。首先,采用多智能体遗传算法对HMM参数进行训练优化,克服了B-W算法易陷入局部最优解的缺陷;其次,分别研究设计了设备是否具有使用阶段状态退化过程数据2种情况下的故障预测算法流程;最后,以飞机发动机温控放大器为应用对象进行仿真计算。结果表明,该算法不仅预测精度高,而且预测结果直接与设备状态相关,易于理解分析。     

对涡轮盘材料的需求及展望

在航空燃气涡轮发动机中，涡轮部件的工作条件最为苛刻，特别是涡轮转子，要在高温、高压、高转速和高气流速度下工作。涡轮转子的工作能力直接影响发动机的基本性能和可能性，分析了发动机设计对涡轮盘材料的需求，展望了涡轮盘材料的发展趋势。     

区域货运量预测模型及应用

本文介绍以投入产出综合预测模型进行区域货运量预测的方法,并将这一方法应用于NT市,预测了NT市“八五”期间的货运量及其流量流向。     

结构方程模型的预测建模方法

提出一种结构方程模型的动态预测建模方法,从而可以在无须未来样本数据的情况下,预测系统要素之间未来的因果关系。采用矩阵谱分解,将协方差矩阵唯一分解为特征值矩阵和特征向量矩阵乘积的形式.分别应用经典的线性回归方法和高维群点主轴旋转预测方法对特征值矩阵和特征向量矩阵建立预测模型,提出一种协方差矩阵的后推预测算法.采用极大似然法,迭代估计未来结构方程模型的各种参数.仿真实验例示了该方法的主要计算步骤.计算结果显示,利用本模型得到的拟合值精度较高,预测模型真实可信,表明这种方法可以用于分析和预测结构方程模型.      

基于统计分析模型的飞行器落点预报方法

目前飞行器落点预报主要采用人机交互方式进行处理,而不同人员计算出的结果存在较大差异.针对该问题,提出了一种基于四阶龙格库塔计算方法的落点预报分布式计算统计分析模型.该模型根据飞行器的运行轨迹特性和在无动力、无控制、常质量段的预报落点具有集中分布的特点,采用零假设和备择假设统计方法对预报落点过滤选择,并对有效预报落点求其数学期望值.采用实际测量数据对所提出的模型进行了可行性和有效性验证,试验结果表明,该模型不仅具有较强的实时性、稳定性,而且当飞行器运行距离在数千千米时,该方法计算出的平面位置误差仅为几十米.