Angular glint calculation and analysis of radar targets via adaptive cross approximation algorithm

Angular glint is a significant electromagnetic （EM） scattering signature of extended radar targets. Based on the adaptive cross approximation （ACA） algorithm accelerated method of moments （MoM） and the plane incident wave assumption, the narrowband, wideband and newly developed high-resolution range profile （HRRP） based angular glint calculation formulations are derived and applied to arbitrarily shaped three-dimensional （3D） perfectly electrical y conducting （PEC） objects. In addition, the near-field angular glint is emphasized, which is of great importance for radarseeker applications. Furthermore, with the HRRP based angular glint, an approach to rigorously determine range resolution cel s which own relatively smal er angular glint is provided. Numerical results are presented with new findings to demonstrate the usefulness of the developed formulations.     

LEARNING CAUSAL GRAPHS OF NONLINEAR STRUCTURAL VECTOR AUTOREGRESSIVE MODEL USING INFORMATION THEORY CRITERIA

Detection and clarification of cause-effect relationships among variables is an important problem in time series analysis. Traditional causality inference methods have a salient limitation that the model must be linear and with Gaussian noise. Although additive model regression can effectively infer the nonlinear causal relationships of additive nonlinear time series, it suffers from the limitation that contemporaneous causal relationships of variables must be linear and not always valid to test conditional independence relations. This paper provides a nonparametric method that employs both mutual information and conditional mutual information to identify causal structure of a class of nonlinear time series models, which extends the additive nonlinear times series to nonlinear structural vector autoregressive models. An algorithm is developed to learn the contemporaneous and the lagged causal relationships of variables. Simulations demonstrate the effectiveness of the nroosed method.     

肖邦《g 小调第一叙事曲》奏鸣曲式及其音乐结构特征

《g 小调第一叙事曲》是肖邦四部叙事钢琴曲中的代表作，也是肖邦的钢琴创作走向成熟的重要表现。在《g 小调第一叙事曲》的创作过程中，肖邦并没有沿用传统奏鸣曲式的创作方式，而是将变奏与奏鸣、回旋进行了高度融合，在曲式结构上创造了自由性特征，对后人研究叙事钢琴曲产生了重要影响。     

位移性在拉普拉斯变换中的应用

本文利用位移性,通过变量代换将非零初始条件转化零初始条件,拓宽了拉普拉斯变换法的使用范围.     

Description of rotational properties of the superheavy nucleus ^256,258,260Rf by projected shell model

Band structure of the Z = 104 nucleus 256Rf has been a recent research focus in nuclear physics. We performed projected shell model calculations for this and some other neighboring Rf isotopes. Specifically, we studied rotational properties of these nuclei and showed that variations in dynamic moment of inertia were sensitive to single-particle structures, which may be useful information for locating the anticipated island of stability. Electromagnetic transition properties were also calculated, and measurable quantities were predicted for further experimental test.     

一种新的函数形式与高次方程的关系——极分

由x=f（x）定义了新的函数表达式,并由这个新的函数表达式讨论了方程共同解的问题以及讨论了一些高次方程的解法及单调性的判断,根据此方法得到了对更为广义的函数的讨论;给出了函数的一种新的表达式.     

图的k-星着色的Grbner基求解

对于具有n个顶点的简单连通图G,首先证明求解G的k-星着色等价于一个多元多项式方程组在{1,2,…,k}上的求解问题,其次使用Grbner基给出求解该多元多项式方程组的方法,从而得到求G的星色数的一个可行途径,最后通过实例验证了此代数计算方法的有效性.     

System deployment optimization in architecture design

Optimization of architecture design has recently drawn research interest. System deployment optimization （SDO） refers to the process of optimizing systems that are being deployed to activi- ties. This paper first formulates a mathematical model to theorize and operationalize the SDO problem and then identifies optimal so- lutions to solve the SDO problem. In the solutions, the success rate of the combat task is maximized, whereas the execution time of the task and the cost of changes in the system structure are mini- mized. The presented optimized algorithm generates an optimal solution without the need to check the entire search space. A novel method is finally proposed based on the combination of heuristic method and genetic algorithm （HGA）, as well as the combination of heuristic method and particle swarm optimization （HPSO）. Experi- ment results show that the HPSO method generates solutions faster than particle swarm optimization （PSO） and genetic algo- rithm （GA） in terms of execution time and performs more efficiently than the heuristic method in terms of determining the best solution.     

木枣多糖的理化特性研究

木枣经超声波辅助酸性缓冲液浸提、醇沉、脱蛋白和脱色工艺制得木枣多糖,测定其溶解性与单糖组成,采用Q2000型差示扫描量热仪和ZX7M-AR1000型流变仪研究木枣多糖的稳定性和流变性,为其在食品工业中的应用提供理论数据支持。实验结果表明,木枣多糖溶于热水,难溶于冷水,不溶于有机试剂；是由鼠李糖、阿拉伯糖、甘露糖、葡萄糖、半乳糖组成的杂多糖。热学特征分析表明木枣多糖具有较好的热稳定性；木枣多糖溶液为非牛顿假塑性流体,表现出剪切变稀的特性；因此木枣多糖适用于在食品生产工业中做稳定剂。     

A review of the genus Sisyrophanus Karsch 1886 (Diptera: Bombyliidae)

The Afrotropical genus Sisyrophanus Karsch is reviewed and a key is provided for the separation of the eight known species, including Sisyrophanus stylifer sp. nov. which is described from Burundi and Tanzania.