两种不同膜片的光纤光栅压力传感器的研究

理论分析了光纤布喇格光栅的压力传感特性,并将光纤布喇格光栅分别纵向粘贴在不同型号的膜片上进行压力实验.实验结果表明,FBC20WB2型膜片的光纤布喇格光栅压力灵敏系数比ZXYC01型设计膜片大得多,其值分别为376pm/MPa和45pm/MPa左右,其测量精度分别为1%(full scale)和0.5%(full scale).同时发现两种膜片中光纤布喇格光栅的中心波长与压力变化有着良好的线性关系和很高的相关系数,且迟滞现象较小,它们的相关系数均在0.9998以上.说明不同的膜片对压力灵敏系数有较大的影响.     

准确掌握标准做好质量监督抽查工作

准确掌握标准做好质量监督抽查工作干宗山（邮电部光通信产品质量监督检验中心）１前言邮电部光通信产品质量监督检验中心是１９９１年按邮电部要求开始筹建，并在１９９３年按国家技术监督局的要求，通过了计量认证和邮电部机构审查。在筹建过程中，我们本着边筹建、边工...     

云计算技术在动漫渲染行业的应用研究

当前动漫制作还主要沿用单机渲染的模式,面临着效率低下、操控复杂、资源浪费等弊端.为解决这些短板与瓶颈,以云计算在动漫渲染行业的应用入手,在阐述渲染、云计算、动漫渲染的基础上,提出了一种云渲染平台设计与实现的方法,并从渲染平台设计架构、云渲染流程及关键技术等角度进行阐述,试图提供高效可靠的渲染管理及资源整合应用模式.     

基于支持向量机的近红外特征变量选择算法用于树种快速识别

将稳定度自适应重加权采样特征变量选择算法用于支持向量机定性分析(Support vector machine-stability competitive adaptive reweighted sampling,SVM-SCARS)。该算法通过对数据多次采样建模计算各变量的稳定度值,稳定度值能更加客观准确地评估变量在建模中的作用,因此可作为变量重要性的评价依据。通过循环迭代方式,采用自适应重加权采样技术逐步筛选变量,然后以每次循环所得变量子集建立SVM模型,并以模型交叉验证分类正确率(Correct classification rate of cross validation,CCRCV)评估子集优劣,确定最优特征变量子集。将该算法结合漫反射近红外光谱技术建立了制浆造纸常用木材的树种识别模型,实现了对4种桉木和2种相思木的快速识别分类。最终共筛选出15个特征变量建立分类模型,模型对各树种分类的正确率达97.9%,具有较好的分类效果。与全光谱模型和递归特征消除支持向量机模型相比,SVM-SCARS能够筛选出更少的特征变量,且模型具有更好的预测性能和稳定性。研究结果表明,SVM-SCARS算法能够有效优化光谱特征变量,提高近红外在线分析模型在木材材性分析中的稳健性和适用性。     

Studies on the Middle-phase Microemulsion of Lauric-N-methylglucamide

The phase behaviour of the middle-phase microemulsion for the quaternary system lauric-N-methylglucamide （MEGA-12）/n-butanollalkane/water has been studied with Winsor type, δ-γ, fishlike and novel ε-β fishlike phase diagrams. A series of phase inversions Winsor I （2）→Ⅲ（3）→Ⅱ （ 2 ） were observed for the three kinds of phase diagrams. The phase types, the phase volumes and the range of alcohol concentrations from the beginning to the end of the middle-phase microemulsion were obtained from Winsor phase diagram. From δ-γ, fishlike phase diagram, the physicochemical parameters, such as the mass fraction of n-butanol in the hydrophile-lipophile balanced inteffacial layer, A^s, the coordinates of the start and end points of the middle-phase microemulsion, and the solubilities of MEGA-12 and n-butanol in alkane phase were calculated. The novel ε-β fishlike phase diagram was also presented. From this kind of diagram, the above experimental phenomena were observed and the physicochemical parameters were calculated precisely. The novel fishlike phase diagram has advantages over the Winsor and δ-γ fishlike phase diagrams in the evaluation of the solubilization power of the microemulsion and calculation of the related physicochemical parameters.     

引领学习方式转变落 实新课程要求——选修化学3“人类对配合物结构的认识”的教学实践与探讨

结合课题案例对新课程教学中如何引领学习方式转变、落实新课程要求,从创设认知冲突情景,引导学生假设、质疑、对话等5个方面进行了实践与探讨.     

NUMERICAL ANALYSIS OF THE LARGE DEFLECTION OF AN ELASTIC-PLASTIC BEAM

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采用平滑投影Landweber重构的分布式自适应压缩视频感知（英文）

A novel Compressed-Sensing-based(CS-based)Distributed Video Coding(DVC)system,called Distributed Adaptive Compressed Video Sensing(DISACOS),is proposed in this paper.In this system,the input frames are divided into key frames and non-key frames,which are encoded by block CS sampling.The key frames are encoded as CS measurements at substantially higher rates than the non-key frames and decoded by the Smoothed Projected Landweber(SPL)algorithm using multi-hypothesis predictions.For the non-key frames,a small number of CS measurements are first transmitted to detect blocks having low-quality Side Information(SI)generated by the conventional interpolation or extrapolation at the decoder;then,another group of CS measurements are sampled again upon the decoder’s request.To fully utilise the CS measurements,we adaptively allocate these measurements to each block in terms of different edge features.Finally,the residual frame is reconstructed using the SPL algorithm and the decoded non-key frame is simply determined as the sum of the residual frame and the SI.Experimental results have revealed that our CS-based DVC system yields better rate-distortion performance when compared with other schemes.     

基于场景校验的风险评估算法研究

为了在风险评估过程中更全面地考虑关键资产、威胁、脆弱性和控制措施等要素之间的关系,更贴切地得到最终风险排序结果,根据当前国家信息安全风险评估相关规范标准,提出一种基于场景校验的风险评估算法。算法中,通过在常规的风险评估算法模型中先后引入了两次不同的场景校正因子s1和s2,应对不同项目场景中各要素之间关系复杂多变的特点进行了控制,从而使得到的风险排序结果能够更为准确地展现实际的风险情况。     

添加剂在铝宽温阳极氧化中的应用研究进展

简单介绍了无机、有机及混合添加剂在铝及铝合金宽温阳极氧化工艺中的应用进展。从拓宽阳极氧化温度、提高氧化膜硬度及耐蚀性等几个方面来表征添加剂的作用,并预测了添加剂的未来发展。