适用于星敏感器的导航星表构造算法研究

导航星表的性能对于星敏感器姿态测量的实时性及精度至关重要。为了克服星等过滤算法的缺点,将支持向量机应用于导航星表的构造算法中。将基本星表中的恒星视为待分类的数据点,选取抽样视场中最亮的k颗星作为导航星,而非导航星的数量由抽样视场中恒星的密度决定。为了获得具有最大推广能力的抽样数据,采用了一种球面螺旋形算法生成抽样视场视轴指向,使用抽样数据构建最优导航星分类器,应用最优导航星分类器对基本星表中每一颗恒星进行分类判决。仿真结果表明,在满足8°×8°视场中至少出现3颗导航星的条件下,该算法生成的导航星表导航星总数约为星等过滤算法的33%,比传统支持向量机算法减少了7.8%,其标准差仅为星等过滤算法的21%,这表明本算法在导航星表容量及导航星分布均匀性方面大大优于星等过滤算法和传统支持向量机算法。     

ADI土壤水分反演方法

土壤水分是影响植被、土壤和大气之间能量和水分循环的重要因素,及时准确获取土壤湿度信息有利于提高作物估产精度和改善田间管理措施。本文基于红光与近红外光谱特征空间(NIR-RED)发展了一种新型土壤水分遥感监测模型ADI(angle dryness index),提高了可见光与近红外波段监测土壤水分的精度。经过研究表明,在红光与近红外(NIR-RED)特征空间中,存在一个中间角度变量θ,利用光谱反射率与土壤水分之间的经验关系式模型以及混合像元分解公式证明该变量能够表征土壤湿度情况,而不受植被覆盖度的影响,因此利用该原理构建了ADI方法。最后利用两组遥感数据(分别为TM5与MODIS产品数据)以及对应的地面观测数据进行验证,结果表明计算值与实测值均具有较高的一致性,R2分别达到0.74与0.64。同时,将MPDI的计算结果与实测值进行了比较,两组数据的R2均小于0.60,表明ADI方法的计算精度高于MPDI。在MPDI的计算过程中用到了植被覆盖度,这可能是引起计算结果误差的主要因素。此外,MPDI的计算结果表征土壤湿度的相对值,而ADI则能定量的获取土壤水分含量。MODIS像元除了具有植被与土壤两个端元,还有其他类型端元的概率高于TM数据,因而MODIS数据的计算精度低于TM。因此,ADI是一种简单可行且具有较大应用前景的土壤水分反演方法,适合于推广应用。     

树和单圈图的斜谱矩

给定图$G$,对图$G$的每条边确定一个方向,称为$G$的定向图$G^\sigma$, $G$称为$G^\sigma$的基础图. $G^\sigma$的斜邻接矩阵$S(G^\sigma)$是反对称矩阵,其特征值是0或纯虚数. $S(G^\sigma)$所有特征值的$k$次幂之和称为$G^\sigma$的$k$阶斜谱矩,其中$k$是非负整数.斜谱矩序列可用于对图进行排序.本文主要研究定向树和定向单圈图的斜谱矩,并对这两类图的斜谱矩序列依照字典序进行排序.首先确定了直径为$d$的树作为基础图的所有定向树中,斜谱矩序最大的$2\lfloor\frac{d}{4}\rfloor$个图; 然后确定以围长为$g$的单圈图作为基础图的所有定向单圈图中, 斜谱矩序最大的$2\lfloor\frac{g}{4}\rfloor+1$个图.     

近代海相沉积型海域大桥施工关键技术研究

近代海相沉积型海域是我国沿海典型地质条件, 由于其构造独特和力学特性复杂, 在建造大桥时必须采取针对性的措施. 因此从跨海大桥施工的测控技术、桥墩桩基和栈桥寿命维护等方面出发, 探讨沉积型海域跨海大桥施工的关键技术, 并在平潭海峡大桥施工中得到了实际应用.     

基于VMM的SATA控制器功能验证

针对专用集成电路(ASIC)设计中功能验证的效率和完备性问题,以验证方法学手册(VMM)为基础搭建了串行高级技术附件(SATA)控制器分层式验证平台.验证组件的实现大量重用验证知识产权核(VIP),在采用随机激励的基础上以覆盖率统计驱动验证的过程,根据SATA控制器的功能设计记分牌进行结果的自动化比对.实验结果表明,这些方法提高了功能验证的效率,保证了验证的完备性,最终功能覆盖率达到98.25%.     

The Weierstrass–Mandelbrot Process Revisited

We derive a functional central limit theorem for quasi-Gaussian processes. In particular, we prove that the limit of the Mandelbrot–Weierstrass process is a complex fractional Brownian motion.     

The determination of material parameters of microcomponents using digital holography

Progresses in microsystem technology promise a lot of new applications in industry and research. However, the increased complexity of the microsystems demand sensitive and robust measurement techniques. Fullfield and non invasive methods are desirable to get access to spatially resolved material properties and parameters.This contribution describes a simple and fast interferometric method for the analysis of shape and deformation of small objects by optical means. These quantities together with a well defined loading of the components can be the starting point for the determination of material parameters like Poisson-ratio, Young's modulus or the thermal expansion coefficient. Holographic interferometry and multiple wavelength contouring as well as multiple source point contouring are precise enough to fulfill the requests for precision and resolution in microsystem technology even on complex shaped structures with steps or gapsA new adaptive, iterative algorithm is developed and applied to the measured results that allows the numerical evaluation of the phase data to get absolute shape and deformation information in Cartesian coordinates. Surfaces with holes, gaps and steps can be registered without any ambiguities. Digital holography as the underlying holographic recording mechanism is extremely suitable for small objects and lead to simple and compact setups in which the objects’ shape as well as their deformation behavior can be recorded. Experiments using silicon microbeams and an object from fine mechanics are described to show the great potential of these fast and robust measurement techniques with respect to the determination of material parameters.     

Exact Solution in Chaotic Inflation Model with Potential Minima

Taking the cosmological expansion rate directly as a function of field φ, H=H(φ), we present a new exact solution to Einstein's equations that describe the evolution of cosmological chaotic inflation model. The inflation is driven by the evolution of scalar field with inflation potential V(φ)=(λ/8)(φ²-υ²)². The spectral indices of the scalar density n_s and gravitational wave fluctuations n_g are computed. The value of n_s lies well inside the limits set by the cosmic background explorer satellite.     

Spectral distributions in nuclei: General principles and applications

The subject of spectral distribution methods where one derives and applies the locally smoothed forms of observables in nuclei is briefly reviewed. It is well understood that the local forms (with respect to energy) of the level density function, expectation values and strength densities are Gaussian, linear (or ratio of Gaussians) and a bivariate Gaussian respectively. To accomodate symmetries in the above forms, one has to deal with multivariate distributions in general; for example the angular-momentum (J) decomposition leads to a bivariate Gaussian form for the level density. These results extend to indefinitely large spaces by method of partitioning and they generate convolution forms. The origin of these remarkable spectral properties is discussed and shell model examples are given to substantiate their applicability to nuclear systems. Spectral distribution theory is a practical, usable theory because the smoothed forms are defined in terms of traces of low particle-rank operators, and the trace information propagates. Finally we discuss the application of the spectral methods for a wide range of nuclear problems; these include binding energies, orbit occupancies, electromagnetic andβ-decay sum rule quantities, analysis of operators, symmetry breaking, numerical level densities, and determination of bounds on time-reversal non-invariant part of nucleon-nucleon interaction.