合肥光源托歇克效应损失电子的探测

 束流寿命是衡量储存环性能的重要参数,直接影响着光源的正常运行。对于合肥光源（HLS）,托歇克（Touschek）寿命是影响束流寿命的重要因素。为了研究Touschek寿命,需要探测由于Touschek效应所损失的电子。介绍了束流寿命的概念,说明了Touschek效应的原理和机制,利用蒙特卡罗软件EGSnrc模拟计算了丢失电子与真空壁的相互作用,通过塑料闪烁体探测器和光电倍增管获得了由于Touschek效应丢失的电子所产生的信号,然后将信号经过放大甄别和符合处理后,用计数器测量了计数率。结果表明：由于Touschek效应而成对丢失的电子的确存在,且电子损失率随流强的降低而减小。这为下一步储存环的能量标定工作做好了前期准备。     

WDM网状网中动态域间流量疏导策略

对波分复用(Wavelength Division Multiplexing,WDM)网状网中的动态域间流量疏导问题进行了深入研究.在源路由模式下,提出了一种基于固定备选路由方式的动态域间流量疏导算法,并在其基础上提出了只考虑波长均衡和同时考虑波长均衡与业务均衡的改进方法.该算法可以有效地避免路由环,得到较低的阻塞率,节省全网的收发器数目和波长资源.仿真结果表明,这种算法可以有效地改善网络性能.     

一种基于序贯估计的直达声区水面舰船被动测距方法

该文利用基于射线的盲解卷积方法,从直达声区的水面舰船噪声中提取出船和锚系于海底的垂直接收阵之间的时域信道响应,并利用直达波在不同阵元相对于参考阵元的到达时间差,通过序贯方法,利用射线模型和声速剖面信息,对水面舰船距接收阵的距离进行了估计。通过处理海深约为580 m的2016年美国圣巴巴拉海峡的实验数据,对1.6～3.5 km直达声区范围内Anna Maersk商船与垂直阵之间的距离进行了估计,验证了测距方法的有效性,并将结果与系统测量值和几何方法的估计值进行了比较。由于该方法不需要对海底参数进行估计,所以在海底参数未知时要优于传统匹配场方法;在声速剖面存在跃层且海底为多层分布的复杂信道条件下,该方法仍能对距离进行有效估计,且与测量值的相对误差在6%以内,小于几何方法的估计误差,测距结果精度较高。     

A New Approach to Source Conditions in Regularization with General Residual Term

This article addresses Tikhonov-like regularization methods with convex penalty functionals for solving nonlinear ill-posed operator equations formulated in Banach or, more general, topological spaces. We present an approach for proving convergence rates that combines advantages of approximate source conditions and variational inequalities. Precisely, our technique provides both a wide range of convergence rates and the capability to handle general and not necessarily convex residual terms as well as nonsmooth operators. Initially formulated for topological spaces, the approach is extensively discussed for Banach and Hilbert space situations, showing that it generalizes some well-known convergence rates results.     

利用宽带声场干涉结构特性对移动船只距离的连续估计

浅海移动船只的宽带辐射声场在距离-频率上通常表现为有规则的干涉条纹结构,这些条纹的特性(数目和斜率)可用波导不变量理论来表征并已被用于多种水声反演问题中,如沉积层声学参数反演和宽带声源距离的估计。基于波导不变量理论和干涉条纹的结构特性,利用扩展卡尔曼滤波器分析移动船只LOFAR图中干涉条纹的距离-频率特征可对其距离进行连续估计。该方法不需要海洋环境的信息和前向拷贝声场计算,具有较高的计算效率。海试数据处理结果和GPS数据计算结果比较一致,证实了本方法的准确性。试验数据处理同样证实该方法对初始距离的选择有着较高的稳健性。     

PM2.5 in an industrial district of Zhengzhou,China:Chemical composition and source apportionment

Zhengzhou is a developing city in China,that is heavily polluted by high levels of particulate matter.In this study.fine particulate matter(PM_2.5) was collected and analyzed for their chemical composition（soluble ions,elements,elemental carbon（EC） and organic carbon（OC）） in an industrial district of Zhengzhou in 2010.The average concentrations of PM_2.5 were 181,122,186 and 211μg/m³ for spring,summer, autumn and winter,respectively,with an annual average of 175μg/m³,far exceeding the PM_2.5 regulation of USA National Air Quality Standards（15μg/m³）.The dominant components of PM_2.5 in Zhengzhou were secondary ions（sulphate and nitrate） and carbon fractions.Soluble ions,total carbon and elements contributed 41%,13%and 3%of PM_2.5 mass,respectively.Soil dust,secondary aerosol and coal combustion, each contributing about 26%,24%and 23%of total PM_2.5 mass,were the major sources of PM_2.5,according to the result of positive matrix factorization analysis.A mixed source of biomass burning,oil combustion and incineration contributed 13%of PM_2.5.Fine particulate matter arising from vehicles and industry contributed about 10%and 4%of PM_2.5,respectively.     

300脚MSA 10 Gbit/s Transponder模块

分析了开发10Gbit/sTransponder模块的必然性，介绍了10Gbit/sTransponder模块的原理、特点和参数指标。并且用开发出的两只40km300脚10Gbit/sTransponder模块成功地进行了43km的无误码传输试验和测试。     

Environmental fate processes and biochemical transformations of chiral emerging organic pollutants

This review highlights the analytical chemistry, environmental occurrence, and environmental fate of individual stereoisomers of chiral emerging pollutants, which are modern current-use chemicals of growing environmental concern due to their presence in the environment and potential for deleterious effects. Comparatively little is known about individual stereoisomers of pollutants, which can have differential toxicological effects and can be tracers of biochemical weathering in the environment. Stereoisomers are resolved by gas chromatography (GC), high-performance liquid chromatography (HPLC), and capillary electrophoresis (CE). Separation techniques in environmental analysis are typically coupled to mass spectrometry (MS) and tandem mass spectrometry (MS/MS), as these provide the sensitivity and selectivity needed. The enantiomer composition of phenoxyalkanoic and acetamide herbicides, organophosphorus and pyrethroid pesticides, chiral polychlorinated biphenyl metabolites, synthetic musks, hexabromocyclododecane, and pharmaceuticals in the environment show species-dependent enantioselectivity from biotransformation and other biologically mediated processes affecting enantiomers differentially. These enantiomer compositions are useful in detecting biologically mediated environmental reactions, apportioning sources of pollutants, and gaining insight into the biochemical fate of chiral pollutants in the environment, which are needed for accurate risk assessment of such chemicals.     

利用水平阵模态域波束形成判别声源深度*

针对近水面声源和水下声源的深度判别问题,根据近水面声源难以激发低阶模态的物理现象,研究利用声源波数谱结构和波数位置的不同来分辨近水面声源和水下声源。通过采用MVDR的谱估计方法进行模态域波束形成,补偿水平阵各阵元之间各号简正波的相位差,获得主瓣窄、旁瓣低的声源信号波数谱。波数谱的波数位置与频率呈近似线性关系,水中声速剖面、海底参数、海深都会影响波数谱的具体结构和位置。此外,声源信号的到达角估计误差同样也会影响波数谱主瓣的位置估计。数值仿真结果表明,在浅海负跃层声速剖面条件下,可利用水平阵模态域波束形成判别声源深度,区分近水面声源和水下声源。     

基于CNN-GAP可解释性模型的软件源码漏洞检测方法

源代码漏洞检测是保证软件系统安全的重要手段。近年来,多种深度学习模型应用于源代码漏洞检测,极大提高了漏洞检测的效率,但还存在自定义标识符导致库外词过多、嵌入词向量的语义不够准确、神经网络模型缺乏可解释性等问题。基于此,该文提出了一种基于卷积神经网络(CNN)和全局平均池化(GAP)可解释性模型的源代码漏洞检测方法。首先在源代码预处理中对部分自定义标识符进行归一化,并采用One-hot编码进行词嵌入以缓解库外词过多的问题;然后构建CNN-GAP神经网络模型,识别出包含CWE-119缓冲区溢出类型漏洞的函数;最后通过类激活映射(CAM)可解释方法对结果进行可视化输出,标识出可能与漏洞相关的代码。通过与Russell等人提出的模型以及Li等人提出的VulDeePecker模型进行对比分析,表明CNN-GAP模型能达到相当甚至更好的性能,且具有一定的可解释性,便于研究人员对漏洞进行更深入的分析。