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- W3138827457 abstract "Active fluorescence detection is a common detection method. A fluorescence-lifetime parameter is used as the characteristic parameter of active fluorescence detection, which can solve that the fluorescence intensity is easily affected by external environmental factors. Analyzed the principle of the gated-detection method for measuring the fluorescence life, the nonlinear least square regress combined with fluorescence-lifetime decay curve was proposed to fit the function of fluorescence-lifetime decay. Extracting the average fluorescence-lifetime parameters, the fluorescence life map was drawn for the two-dimensional spatial distribution of fluorescence substances. An identification method of oil types was presented and verified by experiment using fluorescence-lifetime parameter as feature vector and support vector machine. The experimental results shown that the probability of the pixel point fluorescence-lifetime falling into the confidence interval in the excitation region was over 68% by using the fluorescence average life as a parameter, and the identification probability was over 77% by using the support vector machine for oil species identification. It is feasible and has a good identification rate to identify oil species by using fluorescence-lifetime parameter. Few samples are trained by combining the identification method of support vector machine. The method based on fluorescence-lifetime decay curve combined with support vector machine will provide some references for oil species recognition research in the field of environmental pollution." @default.
- W3138827457 created "2021-03-29" @default.
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- W3138827457 date "2021-03-12" @default.
- W3138827457 modified "2023-09-23" @default.
- W3138827457 title "Recognition of oil types based on fluorescence-lifetime decay curve and support vector machine" @default.
- W3138827457 doi "https://doi.org/10.1117/12.2587384" @default.
- W3138827457 hasPublicationYear "2021" @default.
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