ρ混合、φ混合、ψ混合线性模型M估计的强相合性

研究了 ρ混合、φ混合、ψ混合样本线性模型中回归参数M估计的强相合性 ,在条件不变的情况下 ,获得与独立情形一样的M估计是强相合的充分条件 ,推广了文 [1 ]定理 2 .     

Barzilai–Borwein method with variable sample size for stochastic linear complementarity problems

A smoothing method for solving stochastic linear complementarity problems is proposed. The expected residual minimization reformulation of the problem is considered, and it is approximated by the sample average approximation (SAA). The proposed method is based on sequential solving of a sequence of smoothing problems where each of the smoothing problems is defined with its own sample average approximation. A nonmonotone line search with a variant of the Barzilai–Borwein (BB) gradient direction is used for solving each of the smoothing problems. The BB search direction is efficient and low cost, particularly suitable for nonmonotone line search procedure. The variable sample size scheme allows the sample size to vary across the iterations and the method tends to use smaller sample size far away from the solution. The key point of this strategy is a good balance between the variable sample size strategy, the smoothing sequence and nonmonotonicity. Eventually, the maximal sample size is used and the SAA problem is solved. Presented numerical results indicate that the proposed strategy reduces the overall computational cost.     

Nonlinear Measures to Evaluate Upright Postural Stability: A Systematic Review

Conventional biomechanical analyses of human movement have been generally derived from linear mathematics. While these methods can be useful in many situations, they fail to describe the behavior of the human body systems that are predominately nonlinear. For this reason, nonlinear analyses have become more prevalent in recent literature. These analytical techniques are typically investigated using concepts related to variability, stability, complexity, and adaptability. This review aims to investigate the application of nonlinear metrics to assess postural stability. A systematic review was conducted of papers published from 2009 to 2019. Databases searched were PubMed, Google Scholar, Science-Direct and EBSCO. The main inclusion consisted of: Sample entropy, fractal dimension, Lyapunov exponent used as nonlinear measures, and assessment of the variability of the center of pressure during standing using force plate. Following screening, 43 articles out of the initial 1100 were reviewed including 33 articles on sample entropy, 10 articles on fractal dimension, and 4 papers on the Lyapunov exponent. This systematic study shows the reductions in postural regularity related to aging and the disease or injures in the adaptive capabilities of the movement system and how the predictability changes with different task constraints.     

Significance Support Vector Regression for Image Denoising

As an extension of the support vector machine, support vector regression (SVR) plays a significant role in image denoising. However, due to ignoring the spatial distribution information of noisy pixels, the conventional SVR denoising model faces the bottleneck of overfitting in the case of serious noise interference, which leads to a degradation of the denoising effect. For this problem, this paper proposes a significance measurement framework for evaluating the sample significance with sample spatial density information. Based on the analysis of the penalty factor in SVR, significance SVR (SSVR) is presented by assigning the sample significance factor to each sample. The refined penalty factor enables SSVR to be less susceptible to outliers in the solution process. This overcomes the drawback that the SVR imposes the same penalty factor for all samples, which leads to the objective function paying too much attention to outliers, resulting in poorer regression results. As an example of the proposed framework applied in image denoising, a cutoff distance-based significance factor is instantiated to estimate the samples’ importance in SSVR. Experiments conducted on three image datasets showed that SSVR demonstrates excellent performance compared to the best-in-class image denoising techniques in terms of a commonly used denoising evaluation index and observed visual.     

电感耦合等离子体发射光谱测定植物精油中的重金属元素

植物精油是从芳香植物提取的天然复杂化合物,作为芳香植物的次生代谢产物具有挥发性和浓郁香味,其特有的多样化生物活性广泛应用于医药和化妆品行业.植物精油具有高渗透性,能以活跃的分子态渗透皮肤组织,经淋巴腺吸收后进入血液,其所含的重金属元素也极易随植物精油进入人体对健康构成潜在威胁.采用硝酸-双氧水对植物精油进行微波消解,在...     

样品温度和空间约束两种方法相结合对激光诱导击穿光谱的影响

升高样品温度和采用空间约束能提高激光诱导击穿光谱的信号强度,两种技术的结合可以进一步提高激光诱导击穿光谱的光谱强度.本文在空气环境中研究了升高样品温度和空间约束效应两种方法相结合对激光诱导击穿光谱的影响,测量了激光诱导铝等离子体的时间分辨光谱.实验结果表明:升高样品温度能增加激光诱导击穿光谱的信号强度,高温样品能耦合更...     

A decomposition-related throughput property of tandem queueing networks with blocking

A general throughput property of tandem queueing networks with blocking that relates existing decomposition methods to throughput bounds is discussed using the sample path approach.     

事后分层方法及其在交通运输抽样调查中的应用

本文介绍事后分层技术，说明了它不仅可用于简单随机抽样，而且可以用于放回ＰＰＳ抽样。给出了事后分层估计量的形式，证明了它的无编性，并给出了它在交通运输抽样调查中的应用。     

激光诱导击穿光谱法对钢铁偏析样品的分析

经典判断钢铁样品是否存在偏析带方法有金相显微及硫印方法,其缺点在于分析速度慢,且无法提供元素的含量分布信息。文中在最佳实验条件下,采用激光诱导击穿光谱(LIBS),在空间横向分辨率约为100 μm左右对两块钢铁中低合金板坯及均匀样品扫描分析,在建立校准曲线的基础上,将元素强度二维分布转化为含量二维分布。研究表明,编号为86#样品C,Si,Mn,P,S及Cu等元素存在明显的偏析,编号为174#样品C,Si,P,Ti等元素存在明显的偏析,并对偏析带的宽度进行估算,其偏析带的位置及宽度与金相显微分析方法相吻合。对均匀样品扫描分析,C,Si,Mn,P,S等元素均匀分布,不存在偏析带,通过元素强度或含量二维分布图可间接反映样品的均匀性。与传统的金相分析方法相比较,LIBS不仅可快速准确体现样品偏析带位置及宽度,而且还可同时提供元素含量分布(如C,Si,Mn,P,S等元素)等方面的信息。此方法可用于快速对钢铁样品是否存在偏析带及其宽度进行表怔,从而为钢铁冶炼工艺的改进提供理论依据。     

Beispiele für die Anwendung der 15N-Tracertechnik in der Düngungsforschung mit emissionsspektrometrischen Analysenverfahren (NOI-5; Isonitromat-5200)

Es werden Varianten der Probenchemie für ¹⁵N-Bilanzexperimente in der Düngungsforschung vorgestellt, die den Erfordernissen des Isonitromat-5200 und des NOI-5 angepaßt sind. Die skizzierten Methoden umfassen die destillative Präparation markierter N-Mengen (0,1–1 mg) aus Bodenextrakten, verbunden mil einem Zvsatz unmatkierter N-Mengen bei der Titration sowie eine für den Routinebetrieb geeignete N-Bestimmung in nicht angereicherten Pflanzenaufschlüssen mit dem Isonitromat-5200 als ¹⁵N-Verdünnungsanalyse. Weiterhin werden einfache apparative Varianten zur Bestimmung von sog. Gasförmigen Düngersticksloffverlusten durch Denitrifizierung in gasdichten Kammern dargestellt.

Durch ¹⁵N-Analyse von Luftproben über ¹⁵N-angereicherten natürlichen Bodenmonolithen mit dem NOI-5 können unmittelbar die vom Dünger freigesetzten N₂ und N₂O-Mengen bestimmt werden. Bei Spezialversuchen in stickstofffreier Neon(He)-Atmosphäre können gebildete N₂-, NO- und N₂O-Spuren (um 1 Vol. %)nach gaschromatographischer Trennung (auf Perapak-Q) individuell am NOI-5 gemessen werden. Unter Verwendung von CO₂-Trägergas werden die N-Komponenten in einem Azotometer isoliert und mit Hilfe eines Dosierhahnes, dessen Volumen den geforderten Gasdruck garantiert, in Entladungsrohre überführt.