丁基罗丹明B-AuI4-缔合纳米粒子体系的极谱猝灭效应研究

在0．1mol／LH2SO4介质中，丁基罗丹明B(RBB)在-0．59伏产生1个单扫描极谱峰。当有AuI^-4存在时，AuI^-4与RBB^ 主要通过静电引力形成疏水性的AuI4—2RBB缔合物分子。AuI4—2RBB存在较强的分子间作用力和疏水作用力而生成紫红色的(AuI4—RBB)n纳米微粒，在470nm处产生1个瑞利散射峰，在610nm处产生1个共振瑞利散射峰；而在-0．59伏处的极谱峰降低。这是由于该紫红色复合纳米微粒形成所致。当纳米微粒体系加入乙醇后，体系的瑞利散射峰和共振瑞利散射峰消失，极谱峰、同步荧光峰和颜色恢复，由于乙醇而致使紫红色的(AuI4-RBB)n纳米微粒分解为红色AuI4—RBB分子。研究结果表明，紫红色(AuI4-RBB)。纳米粒子的形成是其极谱猝灭和共振瑞利散射效应的根本原因。     

太阳能吸热功能膜材质

材质中电子能级和振转能级决定光谱的选择性。     

连云港海域悬沙和表层沉积物交换研究

采用粒度谱计算方法分析连云港及邻近海域悬沙和表层沉积物交换特征,为徐圩防波堤口门布置和连云港港航道回淤研究提供理论支撑。连云港港主航道和徐圩航道5 m等深线以外的区域悬沙和表层沉积物交换率为0.1~0.2,表明航道回淤强度将处于较低水平,对今后航道维护有利;5 m等深线以内区域的交换率为0.3~0.4,悬沙落淤对航道回淤有一定贡献,表明该航道段回淤量相对较大,计算结果与实测航道回淤强度分布特征基本一致。灌河口沙嘴正常天气条件下交换率小于0.2,说明悬沙落淤对沙嘴的影响较小;5 m等深线以内破波带水域交换率大于0.5,表明悬沙和表层沉积物交换频繁。连云港港及邻近海域悬沙和表层沉积物交换主要为粒径小于62 μm的细颗粒组分。分析结果表明,为减少泥沙回淤对徐圩港区港池正常运行的影响,兴建防浪挡沙堤并将堤头布置在破波带之外十分必要。     

FREQUENCY DOMAIN TESTS OF MULTIVARIATE GAUSSIANITY AND LINEARITY

A stationary multivariate time series { X _t } is defined as linear if it can be written in the form X _t = ∑^∞ _{j =−∞} A _j e _{t − j} where A _j are square matrices and e _t are independent and identically distributed random vectors. If the e _t } are normally distributed, then { X _t is a multivariate Gaussian linear process. This paper is concerned with the testing of departures of a vector stationary process from multivariate Gaussianity and linearity using the bispectral approach. First the definition and properties of cumulants of random matrices are used to obtain the expressions for the higher-order cumulant and spectral vectors of a linear vector process as defined above. Then it is shown that linearity of a vector process implies constancy of the modulus square of its normalized higher-order spectra whereas the component of such a vector process does not necessarily have a linear representation. Finally, statistics for the testing of multivariate Gaussianity and linearity are proposed.     

发色团含有乙撑基或乙烯撑桥基的碳菁合成及其光谱和增感性能

本文研究发色团α,α′ 位上具有乙撑基和乙烯撑桥基的碳菁合成通法 ,染料的立体结构、质子化倾向和萤光特性。探讨了多甲川发色团的α,α′ 位桥基和中位取代基对硫碳菁在长波区域的电子吸收光谱的影响。研究结果指出 :多甲川链上含有乙撑桥的硫碳菁有可能使照相卤化银乳剂在远红区和近红外光谱区产生高效的光谱增感作用。     

采用加压-真空两段热缩聚法制备中间相沥青炭纤维的原料

以深度裂解石油渣油为原料，采用两段热缩聚法可制得软化点为268℃，可编性良好的中间相沥青。本文详细考察了温度，时间对中间相沥青软化点，可编性，中间相沥青形态及碳化收率的影响，并初步探讨了两段热缩聚反应的机理。研究结果表明反应温度，时间对中间相沥青的结构和性能影响较大，选择适宜石油渣油，采用加压－真空两段热缩聚法，调整反应条件，可制得可纺性良好的中间相沥青。     

Computer Algebra Derivation of the Bias of Linear Estimators of Autoregressive Models

Abstract. A symbolic method which can be used to obtain the asymptotic bias and variance coefficients to order O(1/n) for estimators in stationary time series is discussed. Using this method, the large‐sample bias of the Burg estimator in the AR(p) for p = 1, 2, 3 is shown to be equal to that of the least squares estimators in both the known and unknown mean cases. Previous researchers have only been able to obtain simulation results for the Burg estimator's bias because this problem is too intractable without using computer algebra. The asymptotic bias coefficient to O(1/n) of Yule–Walker as well as least squares estimates is also derived in AR(3) models. Our asymptotic results show that for the AR(3), just as in the AR(2), the Yule–Walker estimates have a large bias when the parameters are near the nonstationary boundary. The least squares and Burg estimates are much better in this situation. Simulation results confirm our findings.     

PERIODIC CORRELATION IN STRATOSPHERIC OZONE DATA

Abstract. A 50-year time series of monthly stratospheric ozone readings from Arosa, Switzerland, is analyzed. The time series exhibits the properties of a periodically correlated (PC) random sequence with annual periodicities. Spectral properties of PC random sequences are reviewed and a test to detect periodic correlation is presented. An autoregressive moving-average (ARMA) model with periodically varying coefficients (PARMA) is fitted to the data in two stages. First, a periodic autoregressive model is fitted to the data. This fit yields residuals that are stationary but non-white. Next, a stationary ARMA model is fitted to the residuals and the two models are combined to produce a larger model for the data. The combined model is shown to be a PARMA model and yields residuals that have the correlation properties of white noise.     

LDE融合光谱回归分类的光照变化人脸识别

针对光照变化人脸识别问题中传统的光谱回归算法不能很好地进行特征提取而严重影响识别性能的问题,提出了局部判别嵌入优化光谱回归分类的人脸识别算法。计算出训练样本的特征向量;借助于数据的近邻和分类关系,利用局部判别嵌入算法构建分类问题所需的嵌入,同时学习每种分类的子流形所需的嵌入;利用光谱回归分类算法计算投影矩阵,并利用最近邻分类器完成人脸的识别。在两大人脸数据库扩展YaleB及CMU PIE上的实验验证了该算法的有效性,实验结果表明,相比其他光谱回归算法,该算法取得了更高的识别率、更好的工作特性,并且降低了计算复杂度。