The hemispheric asynchrony of polar faculae during solar cycles 19–22

We investigate the north–south (N–S) asynchrony of the polar faculae and compare it with the hemispheric asynchrony of solar activity at low latitudes. We find that, (1) both the solar activity at high and low latitudes do not synchronously occur in the northern and southern hemispheres, there is phase shifts between the two hemispheres; (2) the N–S asynchrony of the polar faculae is a function of latitudes, implying that the asynchrony of the polar faculae between the two hemispheres is related to the hemispheric asymmetry and latitudinal distribution of the polar faculae.     

Forecasting the geomagnetic activity of the Dst index using multiscale radial basis function networks

The Dst index is a key parameter which characterises the disturbance of the geomagnetic field in magnetic storms. Modelling of the Dst index is thus very important for the analysis of the geomagnetic field. A data-based modelling approach, aimed at obtaining efficient models from limited input–output observational data, provides a powerful tool for analysing and forecasting geomagnetic activities including the prediction of the Dst index. In this study, the process of the Dst index is treated to be a structure-unknown system, where the solar wind parameter (VBs) and the solar wind dynamic pressure (P) are the system inputs, and the Dst index is the system output. A novel multiscale RBF (MSRBF) network is introduced to represent such a two-input and single-output system, where the Dst index is related to the solar wind parameter and the dynamic pressure, via a hybrid network model consisting of two submodels: a linear part that reflects the linear relationship between the output and the inputs, and a nonlinear part that captures the effect of the interacting contribution of past observations of the inputs and the output, on the current output. The proposed MSRBF network can easily be converted into a linear-in-the-parameters form and the training of the linear network model can easily be implemented using a forward orthogonal regression (FOR) algorithm. One advantage of the new MSRBF network, compared with traditional single scale RBF networks, is that the new network is more flexible for describing complex nonlinear dynamical systems.     

Decision table for classifying point sources based on FIRST and 2MASS databases

With the availability of multi-wavelength, multi-scale and multi-epoch astronomical catalogues, the number of features to describe astronomical objects has increases. The better features we select to classify objects, the higher the classification accuracy is. In this paper, we have used data sets of stars and quasars from near-infrared band and radio band. Then best-first search method was applied to select features. For the data with selected features, the algorithm of decision table was implemented. The classification accuracy is more than 95.9%. As a result, the feature selection method improves the effectiveness and efficiency of the classification method. Moreover the result shows that decision table is robust and effective for discrimination of celestial objects and used for preselecting quasar candidates for large survey projects.     

直接序列扩谱通信中的窄带干扰抑制

对直接序列扩谱信号预处理可以大幅度提高扩谱通信系统抗窄带干扰的能力。近年来对这方面的研究，从线性处理方法到非线性处理方法，到多用户检测方法；从简单自适应，到盲信号处理等，出现了许多好的思路，并一步步改善了扩谱系统抗多种窄带干扰的能力。文章综述了这方面的研究成果，对各种方法进行了分析和评价，重点讨论非线性方法以及码辅助方法，其中，非线性方法讨论的重点是基于隐马尔可夫链的非线性处理方法。     

ASAP: A systematic approach to plasma spectral synthesis

ASAP (Analysis System for Astrophysical Plasmas), developed at the Osservatorio Astronomico di Palermo, is a package of procedures based on IDL. It is aimed at the detailed presentation of theoretical models of astrophysical plasmas and the accurate comparison with observational data, up to fittings of specific observations. It is also useful for the prediction of specific observations, and for the simulation of the expected performances of forthcoming instruments, for instance those on board SOHO.     

采样时间序列的滑动递推容错预报算法

在导出线性模型系数递推最优辨识算法的基础上，探讨了滑动线性预报器的容错改进，建立了简洁、实用的滑动递推容错预报算法。通过仿真计算验证了算法的有效性。     

机动再入飞行器的一种预测制导方法

研究了机动再人飞行器返回地面固定目标的一种预测制导方法。利用高斯方法解算出再人过程中飞行器需要的最小速度增量，将其转换成速度坐标系下需要的气动力，通过调整其攻角以及侧滑角来达到控制飞行器的目的，从而得到了一种预测制导方法。仿真显示，此算法简单，运算速度快，具有较高的落点精度，且对大气密度的不确定性及导航信息偏差具有较强的鲁棒性。     

环境湿度对HTPB推进剂力学性能的影响

实验研究了环境因素特别是湿度对高固体含量的ＡＰ／ＨＴＰＢ推进剂试样力学性能的影响，结果表明，湿度对力学性能尤其是高温力学性能影响显著。这种影响对大型固体发动机装药工艺中力学性能的预示准确度也带来影响，因而需要根据不同的季节合理调整固化参数。     

1997-2003年太阳质子事件源区的卡林顿经度分布

分析了1997-2003年期间的59个太阳质子事件,太阳质子事件源区的卡林顿经度带.分析结果表明,质子事件源区主要集中在10°-45°,135°-155°,180°-215°,230°-260°,265°-310°,345°-360°,还有4个质子耀斑分散在72°,74°,93°和107°上.其中最强的活动卡林顿经度带的经度范围是265°-310°,次之为卡林顿经度带135°-155°,最弱的是卡林顿经度带180°-215°最强的活动经度是卡林顿经度272°.1997-2003年期间峰值通量大于100 pfu,质子耀斑南半球发生次数为18,北半球发生次数为10;同一活动经度上的质子事件具有重现的规律,重复出现的时间间隔短的为27天,长的超过4年.