串联CSTR的图解求法

介绍了如何根据（－rA）－xA关系进行串联CSTR的图解法计算，该法简单、应用面广。     

Parametric synthesis of pulsar time

A new method of generating pulsar time based on a coherent representation of a sequence of observed events is considered. The properties of pulsar time compared with the traditional approach are analyzed. __________ Translated from Izmeritel’naya Tekhnika, No. 6, pp. 39–44, June, 2006.     

大坝监测分析中的时间序列叠合模型

叙述了用时间序列叠合模型建立大坝监测预报模型的2种基本方法:统计-时间序列模型和确定性时序叠合模型。通过统计软件SPSS实现2种时序叠合模型的实例表明，在环境量记录完整的情况下，统计-时间序列模型比单纯的统计回归模型精度要高;在缺少环境量监测或与环境量的因果关系不明显的情况下，用确定性叠合模型分析和预报大坝监测效应量的测值，精度也很高，并能够分离出趋势性分量、周期分量和随机平稳分量，分析的结果简单明了，是大坝监测分析中一种比较好的方法。     

神经网络在煤矿安全决策支持系统中的研究及应用

主要研究人工神经网络在煤矿安全决策支持系统中的应用。将BP网络用于瓦斯突出,解决了瓦斯突出判别困难、难以建立数学模型的难题,为煤矿瓦斯突出研究找到了一种新的建模和预测方法。     

级数sum from n=1 to ∞(α(α-1)…(α-n+1)x~n/n!)在x=±1处的敛散性研究

用比较原则及莱布尼兹判别法对函数f(x)=(1+x)α的马克劳林级数在x=±1的敛散情形给予讨论.     

a尺度Haar小波基的构造

对伸缩因子a为大于1的正整数的Haar小波基进行了统一构造，并给出了分解和重构算法。指出只需对一实对称矩阵求特征向量，便容易得到相应的a-1个母小波。     

Application of advanced core process monitoring procedures in German power reactors

The nuclear reactor core design and the nuclear fuel management have been changed remarkable during the last few years. This development was initiated by increasing costs for the fuel recycling and nuclear waste storage. The fuel material, the fuel pellet fabrication, the fuel assembly structure and the core composition have been varied to get an effective fuel exploitation. Based on advanced core process conditions the reactor power and the fuel burn-up have been increased at German plants in recent years. Improved dynamic process monitoring procedures are required to get more information about the varied core process behaviour during the reactor operation. Since several years ISTec has been performed investigations to the process monitoring based on process signal measurements in German nuclear power plants. Using the standard instrumentation of the plants process signals have been measured and analysed by means of the digital data acquisition system SIGMA. The measured time signals are influenced by core process transients, global and local process fluctuations and by signal line transfer functions. Advanced time series analysis methods have been applied to separate different process effects in the multiple signal matrix. The separation of different process influences can improve significantly the information about the process condition in the reactor core.     

跨时间序列关联规则分析的高效处理算法

多元金融时间序列之间是互相影响的。该文就跨时间序列的关联规则挖掘提出一种新方法:ES-Apriori,此方法通过减少数据库扫描次数,优化内存分配,能够高效地分析多元时间序列之间的关联规则。试验表明,用此方法分析中国证券市场的股票时间序列非常有效。     

Least possible time paths in stochastic, time-varying networks

In this paper, two computationally efficient algorithms are presented for determining the least possible time paths for all origins to a single destination in networks where the arc weights are discrete random variables whose probability distribution functions vary with time. The first algorithm determines the least possible time path from each node for each departure time interval, the least possible travel time and a lower bound on the associated probability of the occurrence of this travel time. The second algorithm determines up to k least possible time paths, the associated travel times and the corresponding probabilities of occurrence of the travel times (or a lower bound on this probability). No such efficient algorithms for determining least time paths in stochastic, time-varying networks exist in the literature.     

阀控式铅酸蓄电池的产品设计

叙述了阀控式铅酸蓄电池产品设计的理论基础,导出了极板(包括板栅与活性物质)、电解液和极群组设计中的一系列定量关系。