Multivariate calibration of near infrared spectra by orthogonal WAVElet correction using a genetic algorithm

Orthogonal WAVElet correction (OWAVEC) is a pre-processing method aimed at simultaneously accomplishing two essential needs in multivariate calibration, signal correction and data compression, by combining the application of an orthogonal signal correction algorithm to remove information unrelated to a certain response with the great potential that wavelet analysis has shown for signal processing. In the previous version of the OWAVEC method, once the wavelet coefficients matrix had been computed from NIR spectra and deflated from irrelevant information in the orthogonalization step, effective data compression was achieved by selecting those largest correlation/variance wavelet coefficients serving as the basis for the development of a reliable regression model. This paper presents an evolution of the OWAVEC method, maintaining the first two stages in its application procedure (wavelet signal decomposition and direct orthogonalization) intact but incorporating genetic algorithms as a wavelet coefficients selection method to perform data compression and to improve the quality of the regression models developed later. Several specific applications dealing with diverse NIR regression problems are analyzed to evaluate the actual performance of the new OWAVEC method. Results provided by OWAVEC are also compared with those obtained with original data and with other orthogonal signal correction methods.     

太阳CO 4.6微米红外成像观测

太阳红外光谱中蕴含着丰富的物理信息,其中CO 4.6μm波段是具有代表性的分子谱带,其形成于温度极小区附近,对研究太阳物理具有极其重要的意义。为获得CO 4.6μm波段太阳单色像,本文建立了一套全反射太阳红外成像观测系统。该系统采用定天镜跟踪引光,通过成像反射镜将太阳成像于3~5μm波段红外相机的焦平面上,该相机采用的是国产HgCdTe焦平面阵列器件。同时,为提高信噪比,提出了一种有效计算平场提取观测目标的方法,并利用该方法获得了CO 4.6μm波段的太阳单色像。     

A Novel Preprocessing Algorithm for Three-Way HPLC Data

Orthogonal signal correction (OSC) was a data preprocessing algorithm. It ensured that the filtered information was irrelevant to concentration data while using it to filter the noise from the original data. This paper extended the OSC application range from two-way data to three-way data. Two drug data sets, Enoxacin, Norfloxacin, Ciprofloxacin and Betamethasone, cortisone acetate, prednisone acetate, showed that the application of the OSC algorithm to three-way HPLC data was feasible and needed further research.     

X-射线荧光分析散射幂函数法原理及其应用I·RhKα相干散射平方法

本文发现6~40号元素对能量为20keV的X_射线的质量吸收系数和质量相干散射系数之间呈二次幂函数关系,并据此提出了X_射线荧光定量分析校正基体效应的新方法——RhKa相干散射平方法.用国家标准物质GBW对该原理进行了验证.本法用于硅酸盐地质样品中微量元素的测定取得令人满意的结果.     

电感耦合等离子体原子发射光谱法测定镍基单晶高温合金中Mo、W、Ta、Re、Ru时元素之间相互干扰的消除与校正的研究

称取镍基单晶高温合金0.100 0g于聚四氟乙烯烧杯中,先令其与盐酸9mL和硝酸1mL加热反应,待反应缓慢时滴加氢氟酸2mL并继续加热使样品完全溶解。加入500g·L^-1酒石酸溶液2mL,冷却至室温,在塑料容量瓶中加水定容至100.0mL。按仪器工作条件采用电感耦合等离子体原子发射光谱法测定其中5种合金元素(Mo、W、Ta、Re、Ru)的含量,选择分析谱线依次为204.598,207.911,240.063,197.312,240.272nm。结果发现:除了Re外,其余4种元素的测定中均受共存元素的光谱干扰,严重影响了测定结果的准确性。为克服其干扰,除了采用基体匹配法消除镍的基体干扰外,试验采用混合校正系数矩阵法对测定结果进行校准。通过一系列试验计算得到混合校准系数矩阵K,并应用于模拟样品的分析。结果表明:经过矩阵K的校准,所测定的5种元素的准确度显著提高,达到了消除共存元素之间光谱干扰的目的。通过精密度试验,测得上述5种元素测定值的相对标准偏差(n=11)均在1.5%以下,并通过标准加入法进行回收试验,测得5种元素的回收率为97.0%~105%。     

Multistep methods for differential algebraic equations

Multistep methods for the differential/algebraic equations (DAEs) in the form of

Balancing domain decomposition for problems with large jumps in coefficients

The Balancing Domain Decomposition algorithm uses in each iteration solution of local problems on the subdomains coupled with a coarse problem that is used to propagate the error globally and to guarantee that the possibly singular local problems are consistent. The abstract theory introduced recently by the first-named author is used to develop condition number bounds for conforming linear elements in two and three dimensions. The bounds are independent of arbitrary coefficient jumps between subdomains and of the number of subdomains, and grow only as the squared logarithm of the mesh size . Computational experiments for two- and three-dimensional problems confirm the theory.

     

Correction procedure for the electron microprobe analysis of porous materials

A correction method is proposed for the quantitative determination of stoichiometric ratios in porous materials by electron microprobe analysis. Analysis of this kind of material is complicated by an imperfect surface that can only be improved to some extent. The correction is based on a linear dependence (different for each element) of the analyses on a sum of weight concentrations of oxides. With this correction it is possible to use analyses affected by the imperfection of the surface with much better confidence compared to common normalisation. An example is presented for a series of ceramic superconductors Bi_2.1(SrCa)_2.9Cu₂O₈₊.     

化学动力学中隧道效应的研究（Ⅱ）──甲醛单分子反应渠道间的相互作用研究

对甲醛单分子热反应模拟给出了分子渠道Ｅｃｋａｒｔ垒，计算了该渠道在不同温度下的隧道校正因子，研究了分子渠道与游离基渠道间的相互作用，计算了存在反应渠道间相互作用时各渠道的Ｋ＿（ｕｎｉ）（ｉ）、Ｅａ（ｉ），分子渠道考虑隧道效应，而游离基渠道无隧道效应，计算结果与实验结果一致。