Simulation Results for DWDM Systems with Ultra-High Capacity

We present stimulation results for DWDM systems with an ultra-high capacity up to 1.28 Tbit/s and spectral efficiency approaching 0.4 bit/s/Hz. The impact of signal-to-noise ratio (SNR) on parameters such as channel spacing, length of fiber, dispersion, and number of channels has been investigated and the results obtained have been explained on the basis of fiber nonlinear effects. It has been shown that with an increase in channel spacing, the SNR increases to the maximum optimum value and then decreases to a steady value. With an increase in number of channels, the SNR decreases for small wavelength spacing. For large wavelength spacing, it becomes independent of the number of channels. Keeping channel spacing constant, the SNR decreases with an increase in the length of the fiber. The SNR also improves with a small increase in dispersion of the fiber. Further, it is observed that, with increase in length over dispersion-shifted fiber, the received power decreases and the bit error rate increases.     

比率型荧光探针的设计合成及其对Al3+识别性能研究

为了进一步提高金属离子探针的选择性和灵敏性,以3,5-二氨基苯甲酸和2,4-二羟基苯甲醛为原料,设计合成了一种比率型金属离子探针L(3,5-二(2,4-二羟基）苯基亚氨基)苯甲酸)。通过核磁、质谱和红外等方法对探针L的结构进行了表征,并利用荧光光谱、紫外光谱对探针L的光学性能进行了研究,结果表明：L对Al3+具有良好的选择性和灵敏性,受其它金属离子的干扰较小,并且反应前后伴有明显的颜色变化（黄色到无色）。通过计算,缔合常数为Kb = 1.35×104,L对Al3+的检出限低至8.6×10-8 mol/L,低于饮用水和食品中铝含量的国家标准,该离子探针有望应用于食品和水环境中Al3+的检测。     

基于改进蝙蝠算法的CO-OFDM系统峰均比抑制技术

为了抑制相干光正交频分复用系统中的峰值平均功率比,采用蝙蝠算法优化系统子载波的相位.同时针对蝙蝠算法存在的易陷入局部最优和收敛精度不高的问题,对蝙蝠算法进行改进.在蝙蝠的速度更新公式中加入蝙蝠的自我学习部分,并引入惯性权值和学习因子,在保证算法收敛速度的同时尽可能提高算法的收敛精度,防止算法出现早熟收敛情况.采用改进算法对正交幅度调制、100 Gb/s的相干光正交频分复用系统进行仿真实验,仿真结果表明,改进算法有较强的搜索能力和较高的搜索精度,使正交频分复用信号的峰值平均功率比降低了5.48 dB,相对于蝙蝠算法降低了0.52 dB,改进算法的峰值平均功率比抑制性能得到了进一步的提高.     

Correlation between the synthetic origin of methamphetamine samples and their 15N and 13C stable isotope ratios

The active ingredient of ecstasy, N-methyl-3,4-methyldioxyphenylisopropylamine (MDMA) can be manufactured by a number of easy routes from simple precursors. We have synthesised 45 samples of MDMA following the five most common routes using N-precursors from 12 different origins and three different precursors for the aromatic moiety. The ¹³C and ¹⁵N contents of both the precursors and the MDMA samples derived therefrom were measured by isotope ratio mass spectrometry coupled to an elemental analyser (EA-IRMS). We show that within-pathway correlation between the ¹⁵N content of the precursor and that of the derived MDMA can be strong but that no general pattern of correlation can be defined. Rather, it is evident that the δ¹⁵N values of MDMA are strongly influenced by a combination of the δ¹⁵N values of the source of nitrogen used, the route by which the MDMA is synthesised, and the experimental conditions employed. Multivariate analysis (PCA) based on the δ¹⁵N values of the synthetic MDMA and of the δ¹⁵N and δ¹³C values of the N-precursors leads to good discrimination between the majority of the reaction conditions tested.     

高精度全景补偿电子稳像

针对摄像机拍摄目标过程中自身的随机抖动造成的视频序列不稳定,以及稳像补偿过程中边缘信息的丢失,提出了基于SURF（Speed-up Robust Feature）算法的全景电子稳像方法。首先,运用SURF算法提取当前帧图像和参考帧图像的兴趣点,将两幅图像的兴趣点进行匹配,建立两帧的对应关系。针对兴趣点数目较少及场景中部分区域特征相似的情况,引入了兴趣点位移一致性抑制策略,改进了RANSAC（RANdom SAmple Consensus）误匹配的剔除算法,使得运动矢量的精确度小于1 pixel。然后,判定参考帧的更新策略,获取平滑的运动变量。最后,进行运动补偿,运用图像镶嵌技术对丢失的边缘区域信息进行全景补偿,得到了高精度的全景稳像结果,实验得到的输出视频峰值信噪比（PSNR）提高了33.1%。     

A generalization of the Fujisawa-Kuh global inversion theorem

We discuss the problem of global invertibility of nonlinear maps defined on the finite dimensional Euclidean space via differential tests. We provide a generalization of the Fujisawa-Kuh global inversion theorem and introduce a generalized ratio condition which detects when the pre-image of a certain class of linear manifolds is non-empty and connected. In particular, we provide conditions that also detect global injectivity.     

Spectral methods for graph clustering - A survey

Graph clustering is an area in cluster analysis that looks for groups of related vertices in a graph. Due to its large applicability, several graph clustering algorithms have been proposed in the last years. A particular class of graph clustering algorithms is known as spectral clustering algorithms. These algorithms are mostly based on the eigen-decomposition of Laplacian matrices of either weighted or unweighted graphs. This survey presents different graph clustering formulations, most of which based on graph cut and partitioning problems, and describes the main spectral clustering algorithms found in literature that solve these problems.     

Eliciting density ratio classes

The probability distributions of uncertain quantities needed for predictive modelling and decision support are frequently elicited from subject matter experts. However, experts are often uncertain about quantifying their beliefs using precise probability distributions. Therefore, it seems natural to describe their uncertain beliefs using sets of probability distributions. There are various possible structures, or classes, for defining set membership of continuous random variables. The Density Ratio Class has desirable properties, but there is no established procedure for eliciting this class. Thus, we propose a method for constructing Density Ratio Classes that builds on conventional quantile or probability elicitation, but allows the expert to state intervals for these quantities. Parametric shape functions, ideally also suggested by the expert, are then used to bound the nonparametric set of shapes of densities that belong to the class and are compatible with the stated intervals. This leads to a natural metric for the size of the class based on the ratio of the total areas under upper and lower bounding shape functions. This ratio will be determined by the characteristics of the shape functions, the scatter of the elicited values, and the explicit expert imprecision, as characterized by the width of the stated intervals. We provide some examples, both didactic and real, and conclude with recommendations for the further development and application of the Density Ratio Class.     

粉末活性炭吸附对氨基苯酚模拟废水的效果

在静态条件下,研究了活性炭吸附对氨基苯酚模拟废水的效果,确定了处理废水的pH值、活性炭用量、振荡时间、温度、废水中对氨基苯酚浓度、振荡速率以及电解质对吸附效果的影响.实验表明L活性炭在pH值为6.4,用量4.5g,温度35C,振荡2.5h的条件下,对100mL质量浓度为50mg/L的对氨基苯酚模拟废水处理效果最佳.     

氢氧化镍正极材料的X射线衍射峰强比与其电化学性能关系研究

利用“管道式合成”方法合成了5种成分相同、结构不同的Ni(OH)2样品.采用X射线衍射(XRD)、场发射扫描电镜表征材料的微观结构及参数.测试了材料的电化学性能,考察了I101/I001比值与Ni(OH)2材料电化学性能的关系.研究结果表明,随I101/I001比值的增大,样品的电化学性能呈下降的趋势.说明XRD峰强比...