Partial oxidation of ethane by in situ generated H2O2

Selective partial oxidation of ethane to ethanol and acetaldehyde by in situ generated H₂O₂ has been achieved under cathodic current passing through a carbon supported Nafion-H catalytic membrane. A correlation between H₂O₂ generation rate and reaction rate has been found.     

基于特征自适应选择的鲁棒跟踪算法

为了解决真实场景下视频目标的跟踪问题,提出一种基于特征自适应选择的鲁棒跟踪算法。首先,针对在线AdaBoost算法特征池特征鲁棒性差的问题,提出一种基于颜色与金字塔梯度方向直方图特征相结合的特征池构造方式;然后,针对分类器在更新过程中容易受到错误样本影响的问题,对每帧跟踪结果增加遮挡检测环节以避免漂移现象的发生。大量的对比实验表明,在真实场景下所提出的方法具有更好的效果。     

稀疏表示分类中遮挡字典构造方法的改进

针对稀疏表示分类算法中遮挡字典维数高且无冗余的问题,提出一种遮挡字典构造方法.首先通过图像分块得到各级的遮挡基图像;然后将所有互不相同的遮挡基图像按字典顺序转化为向量,并用这些向量作为遮挡字典的列,从而构造出维数相对较低且具有一定冗余度的遮挡字典.实验结果表明,该方法不仅明显提高了稀疏表示分类算法对遮挡人脸的识别率,而且还能通过减少图像的分块级数降低稀疏分解的耗时量,提高运算效率.     

基于P系统的粒子群优化算法

为了克服算法早熟收敛问题并提高算法精度, 引入了膜计算理论。将PSO算法与P系统相结合, 提出了一种基于P系统的粒子群优化算法 (P-PSO), 有效地平衡粒子群的全局搜索和局部寻优。采用常用的三个测试函数对新算法进行了实验, 结果表明, 提出的P-PSO算法有效地解决了算法早熟问题, 提高了算法的收敛精度。由此可见, P-PSO算法能够有效改进原有PSO算法的性能。     

Direct partial oxidation of methane over ZSM-5 catalyst: effects of additives

Previously, it was reported that the direct partial oxidation (DPO) of CH₄ with O₂ over HZSM-5 catalysts produces C₅₊ hydrocarbon liquids when the feed contains a propane or propene additive. This work studies additive effects on C₅₊ production in this system by processing a CH₄/C₃H₈ feed with subsequent removal of the C₃ additive and by processing natural gas feed. Results show C₅₊ production is maintained at constant yields for HZSM-5 catalysts having different zeolitic Al contents after removal of the C₃ additive. Mechanistic implications are discussed. Natural gas DPO consistently produced C₅₊ liquids due to the presence of C₂₊ components in the feed. While C₅₊ yields from natural gas DPO are higher than those observed for CH₄/C₃ feeds, increasing feed O₂ concentration, and thus conversion, deleteriously affected C₅₊ selectivity.     

Measurement of soybean fatty acids by near-infrared spectroscopy: Linear and nonlinear calibration methods

A key element of successful development of new soybean cultivars is availability of inexpensive and rapid methods for measurement of FA in seeds. Published research demonstrated applicability of NIR spectroscopy for FA profiling in oilseeds. The objectives of this study were to investigate the applicability of NIR spectroscopy for measurement of FA in whole soybeans and compare performance of calibration methods. Equations were developed using partial least squares (PLS), artificial neural networks (ANN), and support vector machines (SVM) regression methods. Validation results demonstrated that (i) equations for total saturates had the highest predictive ability (r ²=0.91–0.94) and were usable for quality assurance applications, (ii) palmitic acid models (r ²=0.80–0.84) were usable for certain research applications, and (iii) equations for stearic (r ²=0.49–0.68), oleic (r ²=0.76–0.81), linoleic (r ²=0.73–0.76), and linolenic (r ²=0.67–0.74) acids could be used for sample screening. The SVM models produced significantly more accurate predictions than those developed with PLS. ANN calibrations were not different from the other two methods. Reduction in the number of calibration samples reduced predictive ability of all equations. The rate of performance degradation of SVM models with sample reduction was the lowest.     

跳-扩散环境下障碍期权及重置期权定价

在股票价格服从带跳几何布朗运动模型假设下,利用跳．扩散环境下欧式未定权益的一般Black—Scholes偏微分方程,讨论了下降敲出障碍期权和下降敲入障碍期权定价问题,获得了相应的定价公式．最后,运用障碍期权和重置期权的关系,给出了重置看涨期权定价公式．     

部分信息下的最优投资选择模型研究

在部分信息下研究了均值方差投资选择模型.投资者只能观察到风险资产的价格,漂移过程用一个高斯过程来刻画.本文的目的是使最终财富期望最大化,而使得最终财富的方差最小.本文模型中有一个债券及股票资产,在部分信息下推导出了最优策略及均值方差有效前沿.     

一类非线性时滞偏差分方程的不饱和解

利用频密测度和无穷双序列{um,n}不饱和解的概念,讨论了一类带有可变号系数的非线性时滞偏差分方程解的不饱和性质,给出了偏差分方程解的频密振动性的几个充分条件.     

椭圆型偏微分方程初值问题的比较原理

对一类二阶椭圆型偏微分方程的初值问题的粘性解进行研究.在u0(x)是RN上的一致连续函数,H在RN×φ(N)上连续且H是退化椭圆的假设下,给出初值问题ut+H(Du,D2u)=0,0t+∞u(x,0)=u0(x),x∈RN的比较原理.