水平井油藏内三维势分布及精确产能公式

过去常利用保角变换、等值渗流阻力以及Ｊｏｓｈｉ等人的方法研究水平井的产能公式。由于简化和回避了油藏中水平井的三维渗流本质,这些方法缺乏严格可信的理论基础。提出以三维渗流为前提的水平井产能评价研究方法,并给出它的一些应用。首先建立均质、各向异性油藏中线源水平井速度势方程,然后利用Ｇｒｅｅｎ函数方法分别导出水平无限大和底水驱油藏中水平井的三维势分布。在此基础上建立了一组新的水平井产能公式,这些公式的精度明显高于一些对三维流动简化后所得到的近似公式,后者往往低估了水平井的产能。此外,讨论了水平无限大油藏中势分布的某些重要特征,从理论上证实了水平井适应于垂向渗透性好的薄油层的开采。图１参１０（张望明摘     

西方文化对中国文化影响几个方面的探讨

从价值观念、交际观念和礼俗规范等方面探讨了我国从农业经济向工商业经济的过渡时期,西方文化对中国文化的影响和现状,对我们理解当前一些经济文化现象和改革开放有积极的意义。     

基于概率矩阵分解的不完整数据集特征选择方法

在机器学习理论与应用中,特征选择是降低高维数据特征维度的常用方法之一。传统的特征选择方法多数基于完整数据集,对实际应用中普遍存在缺失数据的情形研究较少。针对不完整数据中含有未被观察信息和存在异常值的特点,提出一种基于概率矩阵分解技术的鲁棒特征选择方法。使用基于分簇的概率矩阵分解模型对数据集中的缺失值进行近似估计,以有效测量相邻簇之间数据的相似性,缩小问题规模,同时降低填充误差。依据缺失数据值存在少量异常值的情形,利用基于l_2,1损失函数的方法进行特征选择,在此基础上给出不完整数据集的特征选择方法流程,并对其收敛性进行理论分析。该方法利用不完整数据集中的所有信息,有效应对不完整数据集中异常值带来的影响。实验结果表明,相比传统特征选择方法,该方法在合成数据集上选择更少的无关特征,可降低异常值带来的影响,在真实数据集上获得了较高的分类准确率,能够选择出更为准确的特征。     

A new phase retrieval algorithm with pure generalized three-step phase-shifting under matrix norm processing

Phase-shifting interferometry (PSI) is one of the most effective techniques in imaging a phase specimen, in which the phase retrieval is a basic and significant process. A new phase retrieval method based on the matrix norm algorithm in PSI is proposed in this paper. In this algorithm, the value of phase shift can be determined by three different matrix norms of the intensity difference between two phase-shifted interferograms, and then the phase can be retrieved. Neither the iterative calculation nor the extra measurements of other parameters are necessary on account of this algorithm which only requires three phase-shifted interferograms. The feasibility and accuracy of this algorithm are demonstrated by the simulated results. Experimentally, the generalized phase shift can be realized by a simple device which adjusting the angle of glass accurately. It is found that this algorithm has a good application prospect in the field of dynamic imaging.     

记忆力先天发育水平测量指标体系的建立及其实验研究

为了最大限度的减少后天因素对记忆力先天发育水平的影响,建立记忆力先天发育水平的测量指标体系,以3岁幼儿为研究对象,在分析现有对记忆力研究结论的基础上,提出记忆力表现因素测评指标框架;依据其共性表现因素并结合3岁幼儿记忆力的个性表现,进行了测评指标实验研究.对实验方案进行信度和效度检验,结果表明：本方案有较好的信度与效度;通过对实验结果的性别和年龄差异性分析,认为该被试群体可以作为标准化样本,并对其测试结果进行常模测算;同时,通过西安地区不同水平幼儿园随机抽样的297名被试记忆力的常模测算,结果与理论分布接近,表明这种测评方法具有普适性与可操作性.     

赋Luxemburg范数Musielak-Orlicz序列空间的W~*强暴露点

给出赋Luxemburg范数的Musielak-Orlicz序列空间的W*强露点判别的充分必要条件.     

IIR滤波器在风力发电机振动保护仪上的应用

基于Butterworth法,采用C语言实现数字带通滤波器的设计,介绍了无限长单位脉冲响应(IIR)滤波器设计过程及结果验证.在此基础上,设计了一种集振动和转速保护于一体的叶片振动保护仪,保证叶片的可靠运行.     

时滞离散区间系统的时滞相关稳定性

针对时滞离散区间系统的时滞相关稳定性问题,利用离散Gronwall不等式,结合矩阵范数,导出了时滞离散区间系统的时滞相关性准则．为了证实所提方法的有效性,通过实例进行了仿真比较．仿真结果表明,该方法与其他方法相比,具有计算量小和时滞上界更大的优点．     

The Dortmund Data Bank: A computerized system for retrieval,correlation, and prediction of thermodynamic properties of mixtures

The Dortmund Data Bank (DDB) was started in 1973 with the intention to employ the vast store of vapor-liquid equilibrium (VLE) data from the literature for the development of models for the prediction of VLE. From the beginning, the structure of the DDB has been organized in such a way that it was possible to take advantage of the full potential of electronic computers. With the experience gained in fitting and processing VLE data, we extended the DDB system to other types of mixture properties, i.e., liquid-liquid equilibria (LLE), gas solubilities (GLE), activity coefficients at infinite dilution , heats of mixing (h ^E), and excess heat capacities. Besides the files for mixture properties, the DDB contains pure-component data and program packages for various applications. New experimental data are checked for consistency before they are stored. For data retrieval user-specified search masks can be used. The data files are available via an online data service and through the Dechema Chemistry Data Series. For the purpose of data correlation and model testing, parameter fitting is performed with an optimization routine (Nelder-Mead). In the past years the DDB system has been successfully employed for the development of prediction methods for VLE, LLE, GLE, , and h ^E (UNIFAC, mod. UNIFAC, etc.).Paper presented at the Tenth Symposium on Thermophysical Properties, June 20–23, 1988, Gaithersburg, Maryland, U.S.A.