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Modified iterative vector similarity measure for particle size analysis based on forward light scattering

机译:基于前向光散射的改进的迭代矢量相似度度量用于粒度分析

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摘要

The vector similarity measure (VSM), originally applied to information retrieval, has been recently introduced to analyze particle size distribution (PSD) based on forward light scattering. The VSM technique can predict the PSD with low sensitivity to the experimental errors. However, the simulations and experiments of multi-modal distributed particle systems were not satisfying. In this paper, a modified inverse algorithm is presented to improve the VSM technique. Simulated results and experimental evidence show that with this modification the VSM technique can reconstruct the PSD more efficiently. (C) 2016 Optical Society of America
机译:最初应用于信息检索的向量相似性度量(VSM)最近被引入以基于前向光散射分析粒度分布(PSD)。 VSM技术可以预测PSD,并且对实验误差的敏感性较低。然而,多峰分布粒子系统的仿真和实验并不令人满意。本文提出了一种改进的逆算法来改进VSM技术。仿真结果和实验证据表明,通过这种修改,VSM技术可以更有效地重建PSD。 (C)2016美国眼镜学会

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