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排序方式: 共有7003条查询结果,搜索用时 21 毫秒
1.
基于插值法建立乳制品中酪蛋白的核磁共振磷谱定量检测方法。结果表明,该方法的检出限为0.38 g/L(信噪比(RSN)=3),定量限为1.25 g/L(RSN=10);在5.00~35.00 g/L质量浓度范围内线性良好,相关系数R2大于0.999;加标回收率在91.94%~105.10%范围区间;日内精密度在0.65%~1.40%范围区间;日间精密度在1.40%~1.80%范围区间。对市售不同乳制品中酪蛋白含量进行检测,该方法与GB 31638—2016《酪蛋白》测定结果误差在±5%以内,满足方法可行性对比分析验证要求。该方法相比常规方法样品前处理简单、定量准确性高,大大缩短了检测时间,且有更广泛的适用性,满足乳制品中酪蛋白快速定量检测的要求。 相似文献
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We have developed, based on the oscillating-center transformation, a general theoretical approach for self-consistent plasma dynamics including, explicitly, effects of nonlinear(higherorder) wave-particle resonances. A specific example is then given for low-frequency responses of trapped particles in axisymmetric tokamaks. Possible applications to transport as well as nonlinear wave growth/damping are also briefly discussed. 相似文献
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风速时间序列具有波动强烈、数学上处处连续、处处不可导特征,为解决风速时间序列的插值问题及提高其精度,采用数学分形学理论的分形插值方法,基于Kaimal和NWTCUP湍流风谱模型进行风场模拟。从得到的风速时间序列中随机抽取数据作为初始点,将分形插值方法与三次样条和Hermite传统插值方法进行对比。结果表明:分形插值方法不仅具有保持原始风速时间序列所具有的本质和内在联系,如自相似性、长程相关性和标度不变性等非线性动力学系统特征信息,而且比三次样条和Hermite传统插值方法更适合剧烈震荡的风速时间序列的插值。 相似文献
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To deal with uncertainty of the spectral distribution, we consider minimax interpolation and extrapolation problems in Lp for stationary processes. The interpolation and extrapolation problems can be regarded as a linear approximation problem on the unit disk in the complex plane. Although the robust one-step-ahead predictor and interpolator has already been considered separately in the previous literature, we give two conditions for the uncertainty class to find the minimax interpolator and extrapolator in the general framework from both the point of view of the observation set and the point of view of evaluation on the interpolation and extrapolation error under the Lp-norm. We show that there exists a minimax interpolator and extrapolator for the class of spectral densities ε-contaminated by unknown spectral densities under our conditions. When the uncertainty class contains spectral distribution functions which are not absolutely continuous to the Lebesgue measure, we show that there exists an approximate interpolator and extrapolator in Lp such that its maximal interpolation and extrapolation error is arbitrarily close to the minimax error when the spectral distributions have densities. Our results are applicable to the stationary harmonizable stable processes. 相似文献
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ABSTRACTChebyshev interpolation is a highly effective, intensively studied method and enjoys excellent numerical properties which provides tremendous application potential in mathematical finance. The interpolation nodes are known beforehand, implementation is straightforward and the method is numerically stable. For efficiency, a sharp error bound is essential, in particular for high-dimensional applications. For tensorized Chebyshev interpolation, we present an error bound that improves existing results significantly. 相似文献
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Five-axis machining plays an important role in manufacturing by dint of its high efficiency and accuracy. While two rotation axes benefit the flexibility of machining, it also brings limitations and challenges. In order to further balance machining precision and efficiency, an improved feedrate scheduling method is presented considering geometric error and kinematic constraints for the Non Uniform Rational B-Spline (NURBS) interpolation in five-axis machining. A simplification method is proposed to calculate the geometric error which describes the deviation between the ideal tool path and the real tool path induced by the non-linear movement. A linear relation between geometric error and feedrate is built to limit the feedrate. The constraints determined by single axis kinematic performance and tangential kinematic performance are also considered. Under these constraints, a constrained feedrate profile is determined. Aiming to get more constant feedrate in the difficult-to-machine areas, this work proposes a scheduling method which combines morphological filtering and S-shape acceleration/deceleration (acc/dec) mode. Simulations and experiments are performed to compare the proposed feedrate scheduling method with two previous feedrate scheduling method and the results prove that the proposed feedrate scheduling method is reliable and effective. 相似文献
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Prediction of power generation of a wind turbine is crucial, which calls for accurate and reliable models. In this work, six different models have been developed based on wind power equation, concept of power curve, response surface methodology (RSM) and artificial neural network (ANN), and the results have been compared. To develop the models based on the concept of power curve, the manufacturer’s power curve, and to develop RSM as well as ANN models, the data collected from supervisory control and data acquisition (SCADA) of a 1.5 MW turbine have been used. In addition to wind speed, the air density, blade pitch angle, rotor speed and wind direction have been considered as input variables for RSM and ANN models. Proper selection of input variables and capability of ANN to map input-output relationships have resulted in an accurate model for wind power prediction in comparison to other methods. 相似文献
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