焊接波浪状边缘薄钢带的高上山成型法

介绍了高上山成型法的工艺特点及理论上的可行性和实践中的可靠性，此方法能有效地解决薄钢带波浪状边缘的焊接方面存在的问题。     

矩形纵向涡发生器平板强化换热的实验研究

利用热质比拟萘升华技术,在吸入式风洞中对矩形纵向涡发生器平板强化换热进行了实验研究。在雷诺数范围2.3×105~5.4×105内,通过改变涡发生器迎流冲击角β,得到强化换热的效果,并对参数进行优化。     

Precise localization of eye centers with multiple cues

Automatic detection and precise localization of human eye centers are the essential processes in photo related multimedia applications. Since eye center points are used as reference base points for further intelligent processing, precise eye center localization is very important. In face recognition the accuracy of localization of eye centers directly influences the identification accuracy. A multiple stage approach with multiple cues for detection and precise localization of eye centers is presented in this paper. Multiple scopes searching strategy is used for correctly extracting eye patch images from the background. Dedicated gradient based features and curvelet based features are constructed and used for comprehensively revealing the intensity distribution characteristics and the edge based texture around eye centers. A rebuilt score calculation mechanism is proposed and the rebuilt scores are used as a specific measurement index reflecting the matching accuracy. The final localizations of eye centers are determined with integrating the gradient based scores and curvelet based scores. The experiment results testing on public face datasets show that the localization accuracy of proposed approach outperforms the accuracy with other state of the art methods.     

基于SVM模型的妫水河叶绿素a浓度的遥感反演

以北京市妫水河为研究区,基于2011年9月25日和2012年9月30日的两期叶绿素a浓度实测数据和准同步的环境一号卫星(HJ-1A)多光谱数据,分别构建一元线性和多元支持向量机模型(SVMM),通过决定系数R²和平均相对误差对模型的精度进行检验,用模型进行水体叶绿素a浓度的反演,并分析其时空分布特征。研究表明:在样本数较少的情况下,SVM具有很强的非线性映射能力,能够取得较好的预测结果,更适用于反演叶绿素a浓度。时间分布上,研究区叶绿素a浓度呈增加趋势,均值上升了6.86 μg/L;空间分布上,深水区叶绿素a浓度值低于浅水区,上游高于下游。国产HJ-1A CCD2多光谱数据以其4 d的时间分辨率,在水质动态变化监测方面具有优势。     

基于多季相Sentinel-2影像的白洋淀湿地信息提取

白洋淀湿地是华北平原上重要的浅水湖泊湿地,对雄安新区绿色发展具有重要的生态价值。对白洋淀高度异质化的景观格局进行分类,能够为白洋淀湿地资源的遥感监测提供指导意义。针对湿地季节变化的特点,对白洋淀每个季节选取一期具有代表性的Sentinel-2影像,采用分类与回归树（CART）、支持向量机（SVM）、随机森林（RF）3种常用的机器学习分类器对15种季相组合实验方案进行分类,分析不同季相遥感影像及其组合对白洋淀湿地信息提取的优劣。结果表明：相较于使用单一季相影像分类,多季相影像的组合能够显著提高分类精度,春&夏季相组合能够得到最优的分类效果,相对单季影像总体分类精度提高了10.9%~25.5%,Kappa系数提高了0.09~0.29;SVM分类器的分类表现较为稳定,能够得到最高的平均分类精度,CART分类器在处理高维特征的能力不如随机森林和SVM;不同特征类型对湿地信息提取的贡献度从高到底依次是红边光谱特征、传统光谱特征、缨帽变换特征、主成分分析特征、纹理特征。实验成果能为湿地信息的遥感识别提供依据。     

Prestructured MXene fillers with uniform channels to enhance CO2 selective permeation in mixed matrix membranes

The packing pattern of two-dimensional (2D) sheet-like fillers in membranes is relatively random, leading to the unfavorable permeability from tortuous diffusion pathway. A new strategy that using prestructured materials with uniform channels as fillers was proposed. In this work, Ti₃AlC₂ is etched to prepare multilayered MXene (m-MXene), the channels aggregate as a whole unit, ensure the impossibility of ineffective packing compared with traditional individual sheets, largely facilitating the selective permeation. Then, the m-MXene/Poly (amide-6-b-ethylene oxide) (Pebax) MMMs are synthesized. SEM images demonstrate the accordion shaped structure of filler, which is the multi-channels laminates. Furthermore, the results of gas permeation test exhibit enhanced performance of m-MXene/Pebax MMMs. MMM with 0.5 wt.% m-MXene behaved best, CO₂ permeability of 86.22 Barrer as well as CO₂/N₂ selectivity of 104.85, transcending the Robeson upper bound (2008). Having distinct enhancement for CO₂ separation, the m-MXene/Pebax MMMs in this work offer prospective practical applications.     

窄间隙P-GMAW多信息融合侧壁熔合状态识别研究

窄间隙焊缝坡口间距小且焊道较深,摆动中心与焊缝中心偏差较大时,坡口两侧侧壁受热不良,易发生未熔合缺陷。为了及时了解窄间隙侧壁熔合情况,掌握侧壁内部焊接质量,本文提出了一种基于BP神经网络和D-S证据理论的多信息融合方法,预测侧壁熔合状态。对窄间隙焊接未熔合缺陷产生机制进行了分析,研究发现焊接电弧信号和熔池变化与侧壁成形质量存在密切关系,为此进行了一系列偏差实验,建立了电弧电信号和电弧熔池图像信号的实时采集系统,采用批量特征提取算法,提取了与侧壁熔合状态密切关联的峰值电流、峰值电压、电弧弧长、熔池长宽比、熔池面积和熔池周长等特征参量。采用BP算法训练神经网络,在此基础上通过D-S证据理论进行决策级融合。实验结果表明,该模型识别率可达96.667%,避免了神经网络识别时的误诊,获得了比单一传感信息更好的预测结果,提高了熔合状态识别的准确度和可靠度。     

基于人工免疫网络和模糊C-均值聚类的入侵检测方法

针对入侵检测方法中模糊C-均值(FCM)聚类算法对初始值敏感和要求输入聚类数目的缺点,把人工免疫网络算法用于FCM聚类算法,提出了一种基于人工免疫网络和模糊C-均值的入侵检测方法.通过KDD_CUP1999数据集仿真试验,与FCM算法相比,该算法提高了检测率,降低了误警率.实验结果表明,该方法能够有效地检测网络中的入侵行为.     

如何实现MATLAB与SPICE仿真分析之间的转换

结合SPICE与MATLAB仿真软件各自的特点,对它们之间的转换进行研究。通过采用接口软件进行动态连接或嵌入,实现了SPICE与MATLAB之间的转换。较好地解决了在复杂系统仿真分析中,发挥这两种仿真软件的各自优点的问题,从而使系统仿真更具有实用性。     

Web GIS design and realization for groundwater resources in the Yellow River basin

1PrefaceInthelastfewyears,thetechnologyofGeographicalInformationSystem(GIS)hasbeenwidelyusedandplayedagreatroleinthescientificresearchandproductionintheYellowRiverbasin.Uptonow,alotofdepartmentshavealreadydevelopedspecializedGISproductsorputforwardtherelevantdesignsofGISintheYellowRiverbasinfortheresearchofdifferentreachesanddifferentsubjectsofthisregion.TheCFCCfortheYellowRiverConservancyCommissionhasbuiltadatabasesys-temforthelowreachesoftheYellowRiverforthefloodpreventionin1991[1]…