中国新闻纸需求量灰色预测

针对我国新闻纸需求量大且具有不确定性的特点,运用具有适用性广,预测准确率高等优点的灰色系统理论预测了我国新闻纸需求量,建立了需求量模型并对该模型的精度进行了检验。预测结果表明,该模型用于预测我国新闻纸需求量具有一定的可行性和有效性。     

非径向对称随机向量的研究

本文利用过定点的Copula的最佳上、下界,构造了4个奇异Copula;证明了任意Copula与其生存Copula差的绝对值的上确界是三分之一;给出了度量随机变量非径向对称的方法;研究了最大非径向对称随机变量的性质及相关性度量的界。     

混沌优化方法在灰色非线性水环境规划中的应用

通过把灰色参数和灰色变量视为混沌变量，利用混沌运动的遍历性、随机性、规律性以及对初值敏感性的特点，尝试应用具有优秀随机搜索性能的混沌优化方法求解水环境灰色非线性规划问题。实例研究证明，该方法具有搜索速度快、求解精度高的优点，因此对目标函数的优化结果比常规数值解法、遗传算法更加有效。     

一种按时间切换的最速控制方法

基于初始状态空间下的子空间概念，提出了一种按时间进行切换的最速控制方法，不需要求取开关线或开关面。数字仿真结果表明，采用这一方法是完全可行的。     

KINEMATIC VISCOSITY-TEMPERATURE BEHAVIOR OF HEAVY TBP-FRACTIONS (455°C+) OF ARABIAN CRUDE OILS

A generalized kinematic viscosity-temperature correlation for undefined liquid heavy petroleum fractions has been developed to represent the data for a wide range of temperature from 100°C to 200°C. The correlation is based on the experimental kinematic viscosity data of true boiling point fractions of four Arabian crude oils. The characterization property required for estimation is 50% boiling point. The proposed correlation fits the experimental data with an overall absolute error of 6.1%. Experimental measurements of kinematic viscosity of heavy true boiling point fractions of Arabian crude oils were also obtained in order to develop the proposed correlation.     

正庚烷-甲苯-三甘醇三元体系液-液相平衡数据的测定与关联

利用气相色谱法测定了常压下２５℃、４０℃和５０℃时正庚烷－甲苯－三甘醇体系的液－液相平衡数据，采用峰面积归一化法定量，所得数据准确、可靠。用ＮＲＴＬ模型对所测数据进行了热力学关联，求出了相应的模型参数。用该模型对本三元体系进行了预测，结果令人满意。     

Behaviour of mesogenic side group polyacrylates in dilute and semidilute regime

The solution behaviour of a new mesogenic side group polyacrylate in tetrahydrofuran and toluene has been investigated by static and dynamic light scattering. In the dilute regime the polymer behaves as typical polydisperse linear chains in good solvent and the dynamics is dominated by a single fast mode. Cluster formation was detected starting at a concentration around 50 g l⁻¹. It seems to be independent of the solvent as well as of polymer molecular weight. In the semidilute regime, the behaviour of the reduced osmotic modulus leads to the conclusion that repulsion between the chains is stronger than in linear macromolecules. The appearance of larger clusters was revealed above a characteristic concentration and is slightly dependent on the polyacrylate molecular weight. The dynamics was generally characterised by a fast mode related to the cooperative diffusion and by a slow mode associated with large clusters. The existence of a network of multiconnected clusters is envisaged with increasing solution concentration.     

Accumulation and Mixing of Oils in Jinghu Sag of Subei Basin： Constraints from Thermal Maturity Parameters

Oils in Jinghu sag are abundant with high content of polar compounds and have a low ratio of saturate to aromatic hydrocarbons and a high ratio of resin to asphaltene. The gross composition of oils in the Jinghu sag suggests typical immature to low mature characteristics. Some compounds with low thermal stability were identified. Light hydrocarbons, a carbon preference index, an odd even index, n-alkane and hopane maturity parameters show mature features and little differences in the maturity level among oils. Sterane isomerization parameters indicate an immature to low mature status of oil. Transfer of the sedimentary center during sedimentation has led to different thermal histories among subsags and thus generated oils with different maturities. On the basis of source analyses, four migration and accumulation patterns with different maturity can be classified. Combined with available information on mergers of source, reservoir and long distance oil lateral migration, mixing conditions were present in the Jinghu sag. Experimental results indicate that maturity variations are caused by mixtures of hydrocarbons with different maturity.     

Optical pattern recognition using two-channel joint transform correlation

A new joint transform correlation (JTC) technique, named two-channel JTC (TJTC), is proposed in this paper for optical pattern recognition applications. The TJTC technique independently evaluates the autocorrelation and crosscorrelation values of the reference and the target images and employs a modified decision algorithm. In addition, optical threshold operation and fringe-adjusted filter are incorporated in the proposed technique to enhance the correlation output and to improve the discrimination performance. The proposed technique shows better recognition performance compared to existing JTC techniques. Computer simulation are presented to investigate the salient features of the proposed TJTC technique with noise-free as well as noisy input scenes. The text was submitted by the authors in English.