The two-body problem with radiation pressure in a rotating reference frame

We study a perturbed Newtonian two-body problem, in which the perturbation is due to a force field of constant magnitude but rotating direction. By considering this system as a perturbation of the non-rotating case a Melnikov-type analysis allows us to show the existence of horseshoes in the level sets of the Hamiltonian and the subsequent sensitive dependence on initial conditions and non-integrability. We discuss the consequences of these results for a particular planar restricted three-body problem.Supported by a grant from the Royal Swedish Academy of Sciences and AFOSR NM 91-0329.     

AN IMPROVED ALGORITHM FOR THE GENERALIZED RANK ANNIHILATION METHOD

An improved algorithm for the generalized rank annihilation method(GRAM)is presented.GRAM isa method for multicomponent calibration using two-dimensional instruments,such as GC-MS.In thispaper an orthonormal base is first computed and used to project the calibration and unknown sampleresponse matrices into a lower-dimensional subspace.The resulting generalized eigenproblem is thensolved using the QZ algorithm.The result of these improvements is that GRAM is computationally morestable,particularly in the case where the calibration sample contains chemical constituents not present inthe unknown sample and the unknown contains constituents not present in the calibration(the mostgeneral case).     

灰色系统模型在卫星钟差预报中的应用

分析了二次多项式模型在卫星钟差长期预报中的缺陷，依据灰色系统理论和卫星钟差的变化规律，以较少的观测样本建立了预报卫星钟差的灰色预测模型，并将其与二次多项式预测模型进行分析比较。计算结果表明，两者的短期预报精度基本相当，而灰色系统模型的长期预报精度要明显地优于二次多项式模型，更适合于实际应用。     

Polynomial analysis of canopy spectra and biochemical component content inversion

Vegetation is an important component of the eco-system, and to estimate accurately the biochemical component content is very helpful to understanding the ecosystem functions at different scales. While the method to retrieve biochemical component content using leaf scale spectral measurements is applicable, to retrieve biochemical component content from can-opy spectra is still a challenging problem. Because canopy spectra are the combined results of leaf bio-chemical component content, soil ba…     

Geostatistical techniques for incorporating spatial correlation into land use change models

Land use modeling requires large amounts of data that are typically spatially correlated. This study applies two geostatistical techniques to account for spatial correlation in residential land use change modeling. In the first approach, we combined generalized linear model (GLM) with indicator kriging to estimate the posterior probability of residential development. In the second approach, generalized linear mixed model (GLMM) was used to simultaneously model spatial correlation and regression fixed effects. Spatial agreement between actual and modeled land use change was higher for the GLM incorporating indicator kriging. The GLMM produced more reliable estimates and could be more useful in analyzing the effects of driving factors of land use change for land use planning.     

混沌映射在优化计算中的应用

利用描述混沌运动的Logisdc方程的随机性取代常规的均匀分布的随机数发生器的随机性，并应用在产生“Tuned”模板的优化过程中，得到了最佳模板。经实际航空影像的试验表明，Logistic映射的引用可使模板用于影像纹理识别的性能有所提高。     

Irreversible thermodynamic and viscoelastic model for power-law relaxation and attenuation of rocks

A constitutive law for viscoelastic behaviour of rocks is derived from irreversible thermodynamics. To this model, two specific parameters are introduced; one is an internal state variable which is a variable concerning the microstructures such as defects in crystals or microcracks, and the other is a temperature reduced time obtained by normalizing the various temperature behaviours. A large number of internal state variables have the respective relaxation times and show the respective time evolutions, while a set of the time evolutions generates temporal power-law behaviour of rocks. The time evolutions of internal states are regarded as dynamics of elements of the generalized Maxwell model, and the stress–strain relation is represented by a response function following a temporal power-law in terms of linear system theory. This relation is inversely formulated to investigate the source field from output data. This model enables us to explain experimentally-based constitutive laws for transient and steady-state behaviour of rocks (e.g., lherzolite) following a temporal power-law and for attenuation behaviour of polycrystals (e.g., olivine) represented by a relation between the quality factor and frequency. Both laws show power-laws on deformation time or frequency depending on the fractal structure in polycrystals or rocks, and the experimental high-temperature behaviours can be extrapolated to long deformation time or high frequency behaviour.     

混沌免疫算法在遥感影像分类中的应用研究

为提高遥感影像分类精度,采用基于混沌免疫算法(Chaos Immune Algorithm)的分类方法。利用混沌优化的遍历性,进行粗粒搜索,优化初始抗体群;通过选择算子、克隆算子、变异算子、抗体的循环补充等操作,得到全局最优的聚类中心,提高分类精度。实验表明该方法分类总精度、Kappa系数均优于传统分类方法。     

关于建立天津滨海新区地面沉降值内插模型的探讨

利用多面函数法、加权平均法、线性内插和双线性多项式内插等方法,建立内插模型计算未知点地面沉降值,并进行精度分析。     

A spectral approach to simulating intrinsic random fields with power and spline generalized covariances

This article presents a variant of the spectral turning bands method that allows fast and accurate simulation of intrinsic random fields with power, spline, or logarithmic generalized covariances. The method is applicable in any workspace dimension and is not restricted in the number and configuration of the locations where the random field is simulated; in particular, it does not require these locations to be regularly spaced. On the basis of the central limit and Berry–Esséen theorems, an upper bound is derived for the Kolmogorov distance between the distributions of generalized increments of the simulated random fields and the normal distribution.