ESTIMATION OF CHAIN REACTION BANKRUPTCY STRUCTURE BY CHANCE DISCOVERY METHO—WITH TIME ORDER METHOD AND DIRECTED KEYGRAPH

Chain reaction bankruptcy is regarded as common phenomenon and its effect is to be taken into account when credit risk portfolio is analyzed.But consideration and modeling of its effect leave much room for improvement.That is mainly because method for grasping relations among companies with limited data is underdeveloped.In this article,chance discovery method is applied to estimate industrial relations that are to include companies' relations that transmit chain reaction of bankruptcy. Time order method and directed KeyGraph are newly introduced to distinguish and express the time order among defaults that is essential information for the analysis of chain reaction bankruptcy.The steps for the data analysis are introduced and result of example analysis with default data in Kyushu, Japan,2005 is presented.The structure estimated by the new method is compared with the structure of actual account receivable holders of bankrupted companies for evaluation.     

RTTRS: Rule-based Train Traffic Rescheduling Simulator

Train traffic rescheduling is a complicated and large-scaled combinatorial problem. According to the characteristics of China railway system and from the point of practical use, this paper introduces a rule-based train traffic reschedule interactive simulator. It can be used as a powerful training tool to train the dispatcher and to carry out experimental analysis. The production rules are used as the basic for describing the processes to be simulated. With the increase of rule, users can easily upgrade the simulator by adding their own rules.     

Auto-Regressive Models of Non-Stationary Time Series with Finite Length

To analyze and simulate non-stationary time series with finite length, the statistical characteristics and auto-regressive (AR) models of non-stationary time series with finite length are discussed and studied. A new AR model called the time varying parameter AR model is proposed for solution of non-stationary time series with finite length. The auto-covariances of time series simulated by means of several AR model sare analyzed. The result shows that the new AR model can be used to simulate and generate a new time series with the auto-covariance same as the original time series. The size curves of cocoon filaments regarded as non-stationary time series with finite length are experimentally simulated. The simulation results are significantly better than those obtained so far, and illustrate the availability of the time varying parameter AR model. The results are useful for analyzing and simulating non-stationary time series with finite length.     

受损河岸生态系统生态修复材料的研究

我国城市段河道护岸多使用混凝土等人工建筑材料,其结果导致河岸植物群落丧失,破坏了河岸连接水生态系统和陆地生态系统的纽带作用,其生态作用越来越小.因此恢复重建受损河岸生态系统,需要研究适于河岸生态环境、生态作用好的生态修复材料.以恢复重建城市段受损河岸生态系统为目的,研究了作为受损河岸生态修复材料--芦苇幼苗的快速繁殖技术.结果表明:芦苇秆粗细对芦苇秆的发芽没有显著影响,因此在选取芦苇秆时,尽可能选择休眠芽多的芦苇秆,并且选用细芦苇秆,以便于运输;散状、捆状条件下,芦苇秆的发芽有显著差异,捆状芦苇秆要比散状更易发芽,可培育出优良的芦苇幼苗,因此最好将数个芦苇秆捆成一束浸泡发芽.本研究得出的技术方法,可以减少对芦苇原生地的破坏,并且能够快速、大量繁殖芦苇幼苗,为成功开发植物相容型混凝土河岸生态修复材料奠定了重要基础.     

Rendering Grass Blowing in the Wind with Global Illumination

We have simulated a time varying wind field using the lattice Boltzmann model, and its effect on blades of grass with a simple mass-spring model. We present a global illumination model for multiple scattering of incident sun and sky illumination within the field of grass. We model the grass as a continuous distribution of infinitesimal colored scattering flakes and solve a system of differential equations for the radiance transport. We repeat this for a collection of grass bending directions and amounts, an...     

用高分辨率双晶X射线荧光法测定头发中硫的状态

本文用高分辨率双晶X射线荧光法研究了各种含硫化合物的SKα线的位移,并测定了中国人和日本人头发中硫的存在状态及各种状态的含量。结果表明,头发中硫主要以S~(2-)状态存在(平均占95.4%),其余是S~(6+)。发现男人头发中总硫量及S~(2-)状态的硫比同一国籍的女人高。还对12人的黑发与白发进行了对照分析,发现黑发中S~(2-)的含量明显高于白发,而S~(6+)低于白发。这可能由于随着头发变白,其中含—S—S—基团的蛋白质减少的缘故。