基于灰色系统理论的工程机械质量评判

影响工程机械质量的指标众多，对这些指标的评判带有一定的模糊性，无法作出定量的评判，如果单凭经验和主观意愿对机械质量进行评判，很难得到满意结果，因此给评判工作带来一定的难度。运用灰色系统理论可对工程机械的多项质量指标进行归纳和计算，判断机械所属的灰类，从而更合理地评价机械的综合质量。应用此方法，对某单位ZL40装载机进行质量评判，其评判结果与实际较为相符。     

高速碰撞问题的SPH方法模拟

给出了全应力张量空间中的光滑粒子流体动力学方法插值公式，利用该方法编制程序对高速碰撞问题进行了数据模拟，给出了正碰撞和斜碰撞2个算例，得到了合理的模拟结果。表明该方法可以运用于冲击力学问题的数值模拟计算。     

Logistic回归及其在概率降水预报中的应用

介绍了一种气象上较少应用的Logistic回归的原理和计算方法，并利用1999年3月1日至2001年5月30日期间，国家气象局T106模式输出的80个物理量场及其导出场资料和福州地区降水的0、1化资料，采用Logistic回归方法，制作春季福州24h降水概率预报，并与事件概率回归方法作了比较。结果表明，该方法对二分类变量有较好的预报效果。     

浅层水中沉底爆炸冲击波相互作用数值模拟

根据试验模型和试验结果，进行了浅层水中沉底爆炸冲击波相互作用数值模拟；研究了水底水面对沉底爆炸冲击波传播与相互作用的影响。结果表明，水底对冲击波压力峰值有较大的削弱作用，水面使冲击作用冲量明显减少，冲击波相互作用的压力叠加或多次冲击作用大大提高了爆炸威力。     

BP自适应网络在数值预报产品的释用

提出了动态指标库的概念，即不同时次采取不同的指标库，同时次在网络自适应时采取不断更新指标库的阈值，采取先建立消空指标库对样本进行消空，提高了降水样本在整体样本中的概率，然后利用BP(Back Propagation)网络作了大连短期的12h和24h降水有、无的预报，设计了网络的自适应算法，并在降水有、无预报中加以应用。结果表明，此方法比没有做消空样本和网络自适应的降水TS评分有所提高，在数值产品解释应用中更具有实际意义。     

Emergent Property in Macromolecular Motion

In this paper, the model of inverse cascade fractal super-blocks along one direction (in the positive or negative) in the 3-dimensional space is developed to describe the self-similar motion in macromolecular system. Microscopically the cohesive and dispersed states of the motion blocks are co- existent states with vastly different probability of occurrence. Experimental results and theoretical analysis show that the microscopic cohesive state energy and dispersed state energy of each motion block are respectively equal to the macroscopic glassy state energy kTg and molten state energy kTm of the system. This singularity unveils topologically the non-integrability, mathematically the anholonomy, and macroscopically the emergent property. This singularity also reveals that the glass, viscoelastic and melt states are three distinct emergent properties of macromolecular motion from a macroscopic viewpoint. The fractal concept of excluded volume is introduced to depict the random motion at various scales in     

Effect of Carboxymethyl Starch as Stabilizer for Increasing the Stability of Warp Sizing Pastes

The influences of carboxymethyl starch used as stabilizer upon the stability of native cornstarch-polyvinyl alcohol blend pastes for warp sizing have been investigated. The effect of the modified starch on the paste stability was evaluated in terms of the initial demixing time and the volume percentage of separated starch. The carboxymethyl starch with a series of different degrees of substitution was prepared in ethanol dispersion by varying the amount of monochloroacetic acid reacted with refined native cornstarch. The paste stability strongly depends on the modification extent and amount of carboxymethyl starch used, and on native starch content in the paste. Increase in the modification extent and/or the amount of the modified starch effectively retards the phase separation and reduces the separation extent of native cornstarch-polyvinyl alcohol blend pastes. Moreover, the mechanism and favorable modification extent of carboxymethyl starch for enhancing paste stability are also investigated and disc     

Improved Dissolve Detection for Video Segmentation

It is difficult to detect dissolve accurately in video segmentation. Two new parameters AEI and/DM are computed to describe dissolve. An improved method based on the change curves of AEI and/DM is proposed to detect dissolve accurately. The experiments show that this method can detect dissolve accurately.     

Classification of Medical Brain Images

Since brain tumors endanger people‘s living quality and even their lives, the accuracy of classification becomes more important. Conventional classifying techniques are used to deal with thosedatasets with characters and numbers. It is difficult, however, to apply them to datasets that include brain images and medical history (alphanumeric data), especially to guarantee the accuracy.For these datasets, this paper combines the knowledge of medical field and improves the traditional decision tree. The new classification algorithm with the direction of the medical knowledge not only adds the interaction with the doctors, but also enhances the quality of classification. The algorithm has been used on real brain CT images and a precious rule has been gained from the experiments. This oaoer shows that the ahzorithm works well for real CT data.     

试题库智能组卷算法的设计与实现

智能计算机辅助教学中一个重要问题是试题库的智能组卷。通过对组卷约束条件的描述，建立了该问题的数学模型，给出了解决此问题所涉及的主要数据结构及组卷搜索算法。实验结果表明，该方法具有较好的性能和实用性。