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双语推荐:FEI

本文主要介绍FEI公司的Qunta200F场发射扫描电子显微镜故障检查和排除方法,以及电镜日常维护的一些体会,以供参考。
This paper introduced some malfunction maintenance experiences of ESEM Qunta200F pro-duced by FEI company .

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通过电镜的硬件结构和性能两方面对FEI-TECNAI-G20型六硼化镧灯丝透射电子显微镜和日立HT7700型钨灯丝透射电子显微镜进行比较。硬件结构上FEI-TECNAI-G20和 HT7700在光源,真空系统和成像系统上都有较大的区别,以至于在性能上都有着各自的优缺点;在仪器维护方面也有着异同。
This paper mainly describes the differences in structure and the comparison of performance between FEI‐TECNAI‐G20 LaB6 transmission electron microscope and HITACHI‐HT7700 tungsten filament transmission electron microscope . They have differences in light source ,vacuum system ,imaging system ,so the performance and the maintenance also have some differences .

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背景:在制定慢性精神障碍患者管理计划时需要解决的一个重要问题就是照料者的负担,但是迄今为止,国内还没有可靠的方法来评估上述负担。目标:评估家庭负担访谈问卷(Family Experience Inter-view Schedule,FEIS)中文简化版在国内住院精神障碍患者的照料者中使用的信度和效度。方法:我们翻译114项条目的英文版FEIS,并回译。然后用中文版评估606名住院精神障碍患者的主要照料者。排除9项社会人口学变量和9项超过15%的受访者都不能回答的条目后,我们随机选取一半样本问卷对剩余的96项进行了探索性因子分析,并根据因子分析的结果选择最终简化版量表包含的项目。利用另一半样本数据,通过相关性分析、验证性因子分析和内部一致性方法来评估最终简化版量表的信度和效度。结果:最终的中文版量表由28个条目组成,包括五个维度:(a)患者的暴力行为;(b)患者的自杀倾向;(c)照料者的抑郁和焦虑症状;(d)照料者的日常生活受扰乱;(e)照料者对医疗服务的满意度。这五个维度解释了总方差的50.5%。验证性因子分析发现该五因子模型是合理的[χ2/df=2.94,p<0.001,拟合优度指数[GFI]=0.85,比较拟合指数[CFI]=0.85,近似均方根误差[RMSEA]=0.08]。每个条目和对应的因子之间的相关系数均在0.5以上。整个量表的Cronbach α系数为0.76,五个维度的Cronbach α系数在0.71和0.84之间。结论:28项FEIS简化中文版评估的家庭负担五个维度具有良好的内部一致性,因此,可以用来评估国内重性精神障碍患者照料者的家庭负担的各个维度。还需要进一步工作来评估该量表的重测信度和随时间而改变的灵敏度。
Background:Caregiver burden is an important issue that needs to be addressed when developing management programs for persons with chronic mental illnesses, but there is, as yet, no reliable way for assessing this in China. Aim:Assess the validity and reliability of a brief adapted Chinese version of the Family Experience Interview Schedule (FEIS) among caregivers of inpaitents with mental disorders in China. Methods:We first translated and back-translated the original 114-item FEIS and administered it to 606 primary caregivers of psychiatric inpaitents. Atfer excluding 9 items about sociodemographic variables and 9 items that over 15% of respondents were unable to answer, we conducted an exploratory factor analysis using a random half of the sample on the remaining 96 items and, based on the results of the factor analysis, selected the items to be included in the final shortened scale. Correlation analysis, confirmatory factor analysis, and internal consistency measures were

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针对人脸识别中的原始图像存在噪声而影响识别性能的问题,提出了基于概率神经网络优化二维子空间分析的人脸识别方法。首先,使用离散小波变化对图像进行预处理;然后,利用二维线性判别分析进行特征提取;最后,利用概率神经网络完成人脸分类。在ORL和FEI量大通用人脸数据库及自己搜集的数据库上的实验结果表明,在添加噪声的情况下,识别率也可高达98.9%,相比几种较新的识别方法,本文方法取得更好的识别性能。
For the issue that the noise in primary face images will impact recognition accuracy, a face recogni-tion method based on DWT-2DLDA optimized by probabilistic neural network is proposed. Firstly, discrete wavelet transformation is used to do image pre-processing. Then, 2DLDA is used to extract features. Finally, PNN is used to finish classification of face recognition. The experimental results on ORL, FEI and datasets searched by us show that the recognition accuracy of proposed method can achieve at 98.9%even at the situation of adding noises. It has bet-ter recognition performance than several other advanced recognition methods.
详细分析FEI Nova NanoSEM 230扫描电镜的潘宁规的维修过程,为积累处理扫描电镜故障的经验提供便利,对类似型号的维修有一定的借鉴意义。
This essay describes the procedure of repairing penning gauge in SEM .It is useful for secan-ing eletron microscopy users .

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应用 LIBS 技术对钢液中的锰元素进行监测,为了使监测结果更精确,提出选取分析线对的方法减小测量误差。选取基体元素 FeI433.705和 Fe II400.676作为内标元素的谱线,选取 MnI441.188和 MnII 423.514作为分析元素的谱线。当进行定标曲线建立时,分别将原子线与离子线配成线对,原子线与原子线配成线对,离子线与离子线配成线对建立相应的定标曲线,并将它们用于检验样品的定量分析。结果表明,定量分析时选择合适的分析线对,能使定标曲线的拟合度((92%,测量结果的相对标准差(1%。
Using the LIBS technique to monitor the manganese in molten steel, in order to make the quantitative a﹣nalysis result is more accurate, and put forward a method of selecting the analysis line to reduce the measurement er﹣ror. Selecting the matrix elements FeI433. 705and Fe II400. 676 as internal standard element line,Selecting MnI441. 188 and MnII423. 514 as element analysis spectral lines. When establishing the calibration curve,using a pair of atoms and ions line, a pair of atoms and atoms line, and a pair of ions and ions line to set up the corresponding calibration curve, and using them to inspect the quantitative analysis of the sample. The results show that the quantitative analysis choose a pair of suitable analysis line can make the calibration curve fitting is more than 92% , the relative standard deviation less than 1% of the measurement result.

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针对人脸识别中现有回归分类方法不能很好地考虑总类内投影误差的问题,提出了一种基于最小化总投影误差(TPE)的一元回归分类方法。通过各个类投影矩阵计算所有训练数据的类内投影误差矩阵,并且借助特征分解找到一元旋转矩阵;利用一元旋转矩阵将每个训练图像向量转换为新的向量空间,并计算出每个类的特定投影矩阵;根据一元旋转子空间中各个类的最小投影误差来完成人脸的识别。在两大通用人脸数据库FEI和FERET上的实验验证了所提方法的有效性及鲁棒性,实验结果表明,相比其他几种先进的回归分类方法,所提方法取得了更好的识别效果。
For the issue that existing regression classification methods in face recognition do not consider total projection error within classes well, a unitary regression classification method based on minimizing Total Projection Error(TPE)is proposed. Characteristics decomposition is used to find unitary rotation matrix after the projection error matrix within class of all the train-ing data is calculated by projection matrix of each class. Then, unitary rotation matrix is used to convert each training image vec-tor to a new vector space, and the specific projection matrix of each class is worked out. Minimum projection error of each class in unitary rotating subspace is used to finish face recognition. The effectiveness and robustness of proposed method has been veri-fied by experiments on the two common face databases FEI and FERET. Experimental results show that proposed method has better recognition accuracy than several other advanced regression classification approaches.
应用激光诱导击穿光谱技术测量钢水的成分,用内标法对钢水中的Mn进行定量分析。为了使定量分析的结果更精确,定量分析时分析线和内标线最好均为原子线或离子线对。依据谱线的选取原则,选取基体元素 FeI432.5和 FeII495.5作为内标元素的谱线,选取M nI4033..和M nII4381.作为分析元素的谱线。在建立定标曲线时,分别将原子线与离子线配成线对,原子线与原子线配成线对,离子线与离子线配成线对建立相应的定标曲线,从定量分析的结果得知相对误差从前者的10.1%~12.5%,降低到后来的02.9%~07.7%。结果证明,该谱线选取方法使定量分析的结果得到了优化。
Application of laser induced breakdow n spectroscopy to measure the composition of molten steel , Using internal standard method of quantitative analysis of Mn content in molten steel .In order to make the quantitative analysis results more accurate ,Quantitative analysis of analysis line and internal standard line is best for lines to atoms ,or ions.Based on the principles of the selection of spectral lines ,Selection of matrix elements?FeI432 5.and FeII495 5. as internal standard element line .When establishing calibration curve ,using a pair of atoms and ions line ,a pair of atoms and atoms line ,and a pair of ions and ions line to Set up a corresponding calibration curve ,learn from the results of the quantitative analysis of relative error from the former 1 0.1% ~ 1 2.5% ,and decreased to 0 2.9% ~ 0 7.7% of later.Results show that the spec-tral line selection method to make quantitative analysis results obtained the optimization .
将因子化主成分分析(FPCA)算法应用于人脸图像特征提取时,需要使用迭代算法,但该算法应用于高分辨率图像时实时性较差,并且可能导致维数灾难。针对上述问题,提出一种模块化FPCA(M-FPCA)的新型特征提取方法。将原始数字图像样本进行模块化,对模块化后得到的各个子图像矩阵采用FPCA算法进行特征提取,合并子图像特征矩阵得到原图的特征矩阵。彩色图像由R、G、B 3个分量来表示,根据现有彩色信息融合方法的不足,对其进行改进,并结合M-FPCA算法,提出一种彩色M-FPCA新方法。在CVL和FEI人脸库上进行的实验结果表明,M-FPCA方法能提高FPCA算法的实时性,解决维数灾难问题。彩色M-FPCA方法能有效提取彩色人脸图像的色彩信息,得到较高的人脸识别率。
Using Factored Principal Components Analysis(FPCA) feature extraction algorithm in the high resolution images has bad real-time performance and may cause dimension disaster because it needs to use iterative algorithm to implement FPCA algorithm. In order to solve the problem above, this paper developes a new method called Modular-FPCA(M-FPCA) for image feature extraction. This method modularizes the original digital image samples, implements FPCA algorithm on every sub-image matrix, and gets feature matrix of original image by merging sub-image features. Color images can be represented by three components of R, G, B. For existing shortcomings of color information fusion method, it combines M-FPCA with the improved color information fusion method and names it as color M-FPCA. Experimental results on CVL, FEI color face image library show that M-FPCA method can improve the realation of FPCA algorithm, solve dimesion disaster problems, color M-FPCA method extracts color information from c
在考辨中国本土文化“学术源流”的过程中,康有为将韩非纳入视野。就身份归属而言,康有为有时将韩非视为老子后学,有时又将韩非归为法家。韩非在康有为视界中这两种看似矛盾的身份归属具有一个相同点,那就是:韩非思想以法为重心。正因为如此,康有为对法的态度和理解奠定了对韩非的矛盾心态和评价。康有为强调韩非思想与老子、杨朱代表的道家,与荀子代表的儒家以及与申不害、商鞅代表的法家思想具有内在关联具有一定的合理性。
In the course of the inspecting to the source of the Chinese culture ,Kang youwei made Han fei into the vision .Kang youwei belonged Han fei to lao''student ,and sometime belonged Han fei to the school of law .The double identity of Han fei in Kang youwei''s vision had a same lookout ,and it was that the law was the focus of Han fei''s thought .Therefore ,the Psychology and knowledge to law of Kang youwei decided the mixed value on Han fei.

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