Binary liquid–liquid equilibria of aniline–paraffin and furfural–paraffin systems

Binary liquid-liquid-equilibria data for several aniline-paraffin and furfural-paraffin systems have been taken. These data along with data for other aniline-hydrocarbon and furfural-hydrocarbon systems from literature have been correlated using UNIFAC model. The UNIFAC group interaction parameters have been found to have a linear temperature dependence. The CH₂ groups in cyclo and non cyclo paraffins require different interaction parameters. It was also found that a scaling of the combinatorial term is necessary for higher molecular weight hydrocarbons.     

基于监督局部线性嵌入的飞机目标识别方法

维数约简是目标识别的一个重要预处理步骤.由于飞机目标图像对各种空间变换(包括平移、尺度、旋转等变换)和观察角度、位置以及光照等因素都比较敏感,使得很多线性维数约简算法不能有效地用于飞机目标识别.局部线性嵌入(LLE)是一种有效的非线性维数约简方法,提出了一种基于LLE的监督LLE算法,并应用于多种条件下的飞机目标识别中...     

基于Semi-Supervised LLE的人脸表情识别方法

目的 为提取有效的鉴别特征和降低鉴别向量的维数来识别人脸表情图像.方法 将流行学习(Manifold leaming,ML)和半监督学习(Semi-Supervised leaming,SSL)结合起来,利用人脸表情图像数据本身的非线性流形结构信息和部分标签信息来调整点与点之间的距离形成距离矩阵,而后基于被调整的距离矩阵进行线性近邻重建来实现维数约简,提取低维鉴别特征用于人脸表情识别.结果 该方法 能充分利用数据的结构信息和有限的标签信息,使具有标签信息的同类样本之间的距离最小化,不同类数据之间的距离最大化,进而可以有效地提取数据的低维鉴别子流形,使得分类性能要优于非监督的雏数约简方法 .结论 笔者提出的半监督局部线性嵌入算法能有效地提高人脸表情识别的性能.     

Chaotic characteristics of pseudoplastic fluid induced by 6PBT impeller in a stirred vessel

Xanthan gum solutions with different mass concentrations were used to study the chaotic characteristics induced by the impeller of perturbed six-bent-blade turbine(6 PBT) in a stirred vessel. Based on the velocity time series obtained by the experiment of particle image velocimetry(PIV), with the software MATLAB(R2016a), the distributions of the largest Lyapunov exponent(LLE) and Kolmogorov entropy(K entropy) of the system, as two important parameters for characterizing the chaotic degree, were investigated respectively. Results showed that both of the LLE and K entropy increased with the increasing speed at the beginning. As the speed was up to 200 r·min-1, the two parameters reached the maximal values meanwhile, corresponding to 0.535 and 0.834, respectively, which indicated that the chaotic degree of the flow field was up to the highest level. When the speed was increased further, both of the LLE and K entropy decreased on the contrary, which meant that the chaotic degree was decreasing. It was also observed that the chaotic characteristics of flow field were hardly affected by the fluid rheology and the detecting positions. The research results will enhance the understanding of the chaotic mixing mechanism and provide a theoretical reference for optimizing impeller structure.     

测定菜籽油中酚类化合物样品前处理方法的比较

采用液液萃取(LLE)、固相萃取(SPE)、QuEChERS 3种不同前处理方法提取菜籽油中酚类化合物,并采用超高效液相色谱串联质谱(LC-MS/MS)进行测定,分析比较了3种不同前处理方法对菜籽油中酚类化合物提取效果的影响。结果表明:在3种不同的前处理方法中,QuEChERS前处理方法的提取效果最好,对菜籽油中7种酚类化合物的回收率最高,可达85.16%～101.78%,基质共提物含量最低,为2.04 mg/g;LLE的回收率为66.04%～101.11%,基质共提物含量最高,为6.80 mg/g;SPE的回收率最低,仅为56.98%～83.79%,基质共提物含量为2.30 mg/g。     

Determination of Dodecanol and Short‐Chained Ethoxylated Dodecanols by LC–MS/MS (with Electrospray Ionization) After Their Derivatization (with Phenyl Isocyanate)

This report describes the application of LC–MS/MS for the separation of dodecanol (C₁₂OH) and homogenous fatty alcohols ethoxylated (AE) containing a dodecyl moiety and 1–9 ethoxy groups. These ethoxylates and free alcohol were derivatized for LC–MS/MS analysis with phenyl isocyanate (PIC). The derivatives of analytes with PIC were separated using a C18 column. Gradient elution with a mixture of ethyl acetate and acetonitrile (5 mM) was employed. The described determination method is characterized by low detection limits (range from 0.005 µg L^?1 for: C₁₂OH, C₁₂EO_2–7 to 1 µg L^?1 for C₁₂EO₁) and quantification limits (range from 0.01 µg L^?1 for: C₁₂EO_5–7 to 2 µg L^?1 for C₁₂EO₁). The developed and validated method was used in combination with liquid–liquid extraction (using ethyl acetate) in order to identify and quantitatively determine the C₁₂OH and C₁₂EO_1–9 present in environmental samples collected from Warta river water in Poznan.     

基于有监督的核局部线性嵌入的面部表情识别

流形学习方法可以有效的发现存在于高维图像空间的低维子流形并进行维数约简,近年来越来越受到生物特征识别和认知科学领域的研究者的重视。但是流形学习是一种非监督学习方法,其鉴别能力反而不如传统的维数约简方法,而且流形学习方法大多没有明晰的投影矩阵,很难直接对新样本进行维数约简。针对这两个问题,本文提出一种新的有监督的核局部线性嵌入算法(supervised kernel local linear embedding,SKLLE),并将算法应用于面部表情识别。该算法通过非线性核映射将人脸图像样本投影到高维核空间,然后将人脸图像局部流形的结构信息和样本的类别信息进行有效的结合进行维数约简,提取低维鉴别流形特征用于表情分类。SKLLE算法不仅能发现嵌入于高维人脸图像空间的低维表情子流形,而且增强了局部类间的联系,同时对新样本有较好的泛化性,实验结果表明该算法能有效的提高面部表情识别的性能。     

一种新颖的人脸图像超分辨率技术研究

本文针对基于学习的人脸图像超分辨率技术进行研究,采用多分辨率的幻觉脸算法。针对Baker方法（文献[1]）建立的图像金字塔提取高频细节不够丰富的缺点,采用Kirsch算子提取高频特征。它与Baker的一阶、二阶灰度算子结合,能够提取更多的图像信息,使得匹配更为准确。另外将流形学习中的LLE算法思想引入匹配复原过程中,使复原结果获取更完备的高频信息。实验结果表明,本文预测得到的先验模型更为准确,使得最终复原的人脸图像具有更好的视觉效果。     

2-丁酮-水-甲苯、环己酮、4-甲基-2-戊酮三元体系液液平衡的测定及关联

测定了2-丁酮-甲苯-水体系在303.15和323.15K、2一丁酮一4一甲基一2一戊酮一水体系在293.15、303.15和313.15K,2-丁酮-环己酮-水体系在293.15和313.15K下的LLE数据.实验数据用NRTL方程关联,部分互溶对和互溶对的方程参数分别从二元和三元LLE数据得到,关联结果与实验数据符合良好.     

基于点密集度的非线性流形学习算法

提出一种样本点密集度的非线性流形学习算法.该算法提出了一个有效的数据点密集参数,能够很好地对非均匀数据的低维嵌入进行约束,其嵌效结果明显优于LLE算法.在人工和人脸数据集上的实验结果表明,新算法产生了较好的嵌入及分类结果.