ITS示范工程对城市交通畅通性的贡献率研究

通过分析城市交通畅通性的影响因素及其与ITS(智能交通系统)的关系,挖掘ITS对城市交通畅通性的贡献率指标.搜集实证研究对象数据,采用灰色预测模型预测贡献率指标的数值,将ITS示范工程实施前后的数值进行对比,计算得到ITS示范工程对城市交通畅通性的贡献率.由贡献率结果判断ITS示范工程对城市交通畅通性的作用及ITS示范工程的实施效果如何,为未来ITS的发展提供相应的参考建议.     

Smooth extension of functions on a certain class of non-separable Banach spaces

Let us consider a Banach space X with the property that every real-valued Lipschitz function f can be uniformly approximated by a Lipschitz, C¹-smooth function g with Lip(g)?CLip(f) (with C depending only on the space X). This is the case for a Banach space X bi-Lipschitz homeomorphic to a subset of c₀(Γ), for some set Γ, such that the coordinate functions of the homeomorphism are C¹-smooth (Hájek and Johanis, 2010 [10]). Then, we prove that for every closed subspace Y⊂X and every C¹-smooth (Lipschitz) function f:Y→R, there is a C¹-smooth (Lipschitz, respectively) extension of f to X. We also study C¹-smooth extensions of real-valued functions defined on closed subsets of X. These results extend those given in Azagra et al. (2010) [4] to the class of non-separable Banach spaces satisfying the above property.     

Numerical treatment of solving singular integral equations by using Sinc approximations

In this paper we propose numerical treatment for singular integral equations. The methods are developed by means of the Sinc approximation with smoothing transformations. Such approximation is an effective technique against the singularities of the equations, and achieves exponential convergence. Therefore the methods improve conventional results where only polynomial convergence have been reported. The resulting algebraic system is solved by least squares approximation and leap frog algorithm. Estimation of errors of the approximate solution is presented. Some experimental tests are presented to show the efficient of the proposed methods.     

Shape and topology optimization for elliptic boundary value problems using a piecewise constant level set method

The aim of this paper is to propose a variational piecewise constant level set method for solving elliptic shape and topology optimization problems. The original model is approximated by a two-phase optimal shape design problem by the ersatz material approach. Under the piecewise constant level set framework, we first reformulate the two-phase design problem to be a new constrained optimization problem with respect to the piecewise constant level set function. Then we solve it by the projection Lagrangian method. A gradient-type iterative algorithm is presented. Comparisons between our numerical results and those obtained by level set approaches show the effectiveness, accuracy and efficiency of our algorithm.     

Characterization of bifurcating non-linear normal modes in piecewise linear mechanical systems

The non-linear modal properties of a vibrating 2-DOF system with non-smooth (piecewise linear) characteristics are investigated; this oscillator can suitably model beams with a breathing crack or systems colliding with an elastic obstacle. The system having two discontinuity boundaries is non-linearizable and exhibits the peculiar feature of a number of non-linear normal modes (NNMs) that are greater than the degrees of freedom. Since the non-linearities are concentrated at the origin, its non-linear frequencies are independent of the energy level and uniquely depend on the damage parameter. An analysis of the NNMs has been performed for a wide range of damage parameter by employing numerical procedures and Poincaré maps. The influence of damage on the non-linear frequencies has been investigated and bifurcations characterized by the onset of superabundant modes in internal resonance, with a significantly different shape than that of modes on fundamental branch, have been revealed.     

Double impact periodic orbits for an inverted pendulum

There exist many types of possible periodic orbits that impact at the walls for the inverted pendulum impacting between two rigid walls. Previous studies only focused on single impact periodic orbits and symmetric periodic orbits that bounce back and forth between the two walls. They respectively correspond to Types I and II orbits in the Chow, Shaw and Rand classification. In this paper we discuss two types of double impact periodic orbits that have not been studied before. The equations need to be solved for double impact orbits are transcendental and it is very hard to see the structure of the solutions. Consequently the analysis of double impact orbits is much more difficult than that of Types I and II orbits. A combination of analytical and numerical methods is employed to investigate the existence, stability and bifurcations of these orbits. Grazing bifurcations, which do not present for Types I and II orbits, are also observed.     

Stochastic sensitivity of attractors for a piecewise smooth neuron model

ABSTRACT

We consider a one-dimensional model of neural activity, given by a piecewise smooth discontinuous map. Fold bifurcations as well as border collision bifurcations are described in detail. Using the method of stochastic sensitivity functions, noise-induced phenomena, such as transitions within attractor and between attractors, and spike generation, are described. Statistical characteristics of interspike intervals depending on noise intensity are studied.     

Large deviations of Markov chains with multiple time-scales

For Markov processes evolving on multiple time-scales a combination of large component scalings and averaging of rapid fluctuations can lead to useful limits for model approximation. A general approach to proving a law of large numbers to a deterministic limit and a central limit theorem around it have already been proven in Kang and Kurtz (2013) and Kang et al. (2014). We present here a general approach to proving a large deviation principle in path space for such multi-scale Markov processes. Motivated by models arising in systems biology, we apply these large deviation results to general chemical reaction systems which exhibit multiple time-scales, and provide explicit calculations for several relevant examples.     

基于野外可见近红外光谱和水分影响校正算法的土壤剖面有机碳预测

土壤是陆地碳循环的中枢,充分发挥土壤固碳潜力有助于减缓全球气候变化。土壤有机碳 (SOC) 的高度分异性同时体现在空间和垂直分布上,但是许多前期研究往往只考虑了空间分异,而忽略了垂直分异。尤其在青藏高原这种高寒山区,土壤样品采集难度较大且费用昂贵。可见近红外 (Vis-NIR) 光谱作为传统土壤实验室化学分析的辅助手段,能够较为快速和精准地估测SOC含量。但是土壤水分等环境因素会掩盖或改变SOC的Vis-NIR光谱吸收特征进而削弱模型预测精度。外部参数正交化 (EPO) 和分段直接标准化 (PDS) 算法可以有效校正水分对光谱的影响,但其在野外新鲜土柱上的表现还不得而知。本研究旨在探索不同水分影响校正算法对野外剖面土壤光谱的校正能力,对采自中国青藏高原海拔2 900～4 500 m色季拉山的共26个1 m深土柱。沿深度以5 cm×5 cm为测量单元,从各单元中心采集共计386个野外原状湿样Vis-NIR光谱,并在实验室内测得相应386个研磨干样的Vis-NIR光谱以及SOC含量。经EPO和PDS算法校正土壤水分对光谱的影响后,通过随机森林建立土壤光谱和SOC含量的定量预测模型,并使用靴襻法评估不同校正处理下预测模型的不确定。土柱整体及垂直分布的精度结果表明,经PDS法转换的农田和草地土柱湿样光谱均表现出良好的水分校正效果,而EPO法仅对农田土柱有效。水分影响校正算法在不同土壤深度上也存在显著差异,EPO和PDS对农田和草地表层样本的水分校正均效果明显。两种校正方法的效果显示出地类和土层深度的依赖性。本研究为利用Vis-NIR光谱技术在高寒山区野外快速准确估算土壤碳含量的垂直分异提供了必要参考。     

Smooth正规子群

Mustafa Demirci在文[2]及[3]中分别引入了smooth群与smooth子群的概念，本文在此基础上给出了smooth正规子群及其ε-商群的定义，并通过smooth同余得到smooth正规子群的一个刻画。