基于热中子探测评价裂缝的示踪剂特性研究

针对裂缝热中子示踪探测方法,从中子双组扩散理论入手结合蒙特卡洛数值模拟方法,分析压裂前后地层热中子分布影响因素,并模拟不同类型示踪剂及含量的热中子裂缝响应规律,筛选最佳示踪剂并给出其在支撑剂中含量的上、下限。结果表明:压裂前后热中子计数变化量主要受裂缝宽度和标记支撑剂中示踪剂含量的影响;钆对裂缝宽度变化反应最灵敏,钆元素是作为标记支撑剂的最佳示踪元素;随支撑剂中Gd 2O 3含量的增加,热中子计数率降低,热中子计数变化量D增加;示踪剂中氧化钆的上、下限值随裂缝宽度呈指数降低,且当裂缝宽度为1.0 cm时,Gd 2O 3的质量分数上限为0.68%,下限为0.03%。     

放射治疗剂量分布的Monte Carlo模拟

利用Monte Carlo方法模拟放射治疗剂量分布,改写现有的放射治疗软件DPM,并进行剂量计算。与图形处理方便的Matlab软件相结合,给出直观的显示结果。该方法是一个很有前景的研究方向,因为它既可以获得很快的仿真速度,又能得到直观的仿真结果图形。运行结果表明剂量计算能在1min之内完成,计算速度和精度满足要求。该方法对于提高放射治疗水平具有重要的指导意义和应用价值。     

Web-Based Information Extraction Technology

Information extraction techniques on the Web are the current research hotspot. Now many information extraction techniques based on different principles have appeared and have different capabilities. We classify the existing information extraction techniques by the principle of information extraction and analyze the methods and principles of semantic information adding, schema defining,rule expression, semantic items locating and object locating in the approaches. Based on the above survey and analysis,several open problems are discussed.     

一类随机过程的多尺度建模

基于多尺度随机模型具有有效性和高度并行算法这一优势，提出如何用三阶树多尺度模型来表示1-D Reciprocal过程；并如何获得多尺度模型的参数。这就为具有Markov统计特性的信号或过程建立起一般的三阶树多尺度随机模型，为更有效的解决实际问题提供了理沦基础，同时，给出了一类定义在单位区间上的随机过程三阶树多尺度表示的仿真示例。     

密度演化方法在求解股市上扬天数中的应用

将股市上扬的天数转化为随机游程的长度，利用密度演化方法求得了股市上扬天数的分布以及均值和方差该文首次将密度演化方法用来研究股市的一般宏观规律，其结论可指导投资决策．     

Ruin Probability with Variable Premium Rate and Disturbed by Diffusion in a Markovian Environment

We consider a risk model with a premium rate which varies with the level of free reserves. In this model, the occurrence of claims is described by a Cox process with Markov intensity process, and the influence of stochastic factors is considered by adding a diffusion process. The integro-differential equation for the ruin probability is derived by a infinitesimal method.     

A latent class probit model for analyzing pick any/N data

A latent class probit model is developed in which it is assumed that the binary data of a particular subject follow a finite mixture of multivariate Bermoulli distributions. An EM algorithm for fitting the model is described and a Monte Carlo procedure for testing the number of latent classes that is required for adequately describing the data is discussed. In the final section, an application of the latent class probit model to some intended purchase data for residential telecommunication devices is reported. Geert De Soete is supported as “Bevoegdverklaard Navorser” of the Belgian “Nationaal Fonds voor Wetenschappelijk Onderzoek.”     

AVAILABILITY ANALYSIS OF THE QUEUEING SYSTEM GI/PH/I WITH SERVER BREAKDOWNS

In the existing literature of Repairable Queueing Systems (RQS), i.e., queueing systems with server breakdowns, it is almost all assumed that interarrival times of successive customers are independent, identically exponentially distributed. In this paper, we deal with more generic system GI/PH/1 with server's exponential uptime and phase-type repair time. With matrix analysis theory, we establish the equilibrium condition and the characteristics of the system, derive the transient and stationary availability behavior of the system.     

Subset threshold autoregression

We develop in this paper an efficient way to select the best subset threshold autoregressive model. The proposed method uses a stochastic search idea. Differing from most conventional approaches, our method does not require us to fix the delay or the threshold parameters in advance. By adopting the Markov chain Monte Carlo techniques, we can identify the best subset model from a very large of number of possible models, and at the same time estimate the unknown parameters. A simulation experiment shows that the method is very effective. In its application to the US unemployment rate, the stochastic search method successfully selects lag one as the time delay and five best models from more than 4000 choices. Copyright © 2003 John Wiley & Sons, Ltd.     

内照射小器官剂量计算中减方差技巧的比较和应用

在用人体模型计算内照射比吸收分数的Monte Carlo模拟中,对小尺寸、远距离器官的计算结果通常精度不够,可信度差,这就要求采用减方差技巧。该文采用一个简单模型比较了直接模拟和区域粒子分裂-轮盘赌、强迫碰撞与DXTRAN球、指向概率强迫碰撞3种减方差技巧的效果。结果表明指向概率强迫碰撞方法能更有效解决此类问题。利用中国人体数学模型,选择一组典型的源靶器官对,计算了一个实例,得到了可信度高的吸收分数值并体现了指向概率强迫碰撞方法的优越性。