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| 1 | A strategy for accurate detection of glucose in human serum and whole blood based on an upconversion nanoparticles-polydopamine nanosystem显示文摘 | Yan Liu Datao Tu Wei Zheng Lianyu Lu Wenwu You Shanyong Zhou Ping Huang Renfu Li Xueyuan Chen | 2018 | Nano Research2018，11，6： | 5 |
| 2 | 'Chameleon-like' optical behavior of lanthanide-doped fluoride nanoplates for multilevel anti-counterfeiting applications显示文摘Lanthanide-based luminescent anti-counterfeiting materials are widely used in various kinds of products.However,the emission color of traditional lanthanide-based luminescent materials usually remains nearly unaltered upon different excitation lights,which may only work for single-level anti-counterfeiting.Herein,the NaYbF4∶2%Er@NaYF4 core/shell nanoplates (NPs) with 'chameleon-like' optical behavior are developed.These NPs display single-band red or green downshifting (DS) emission upon excitation at 377 or 490 nm,respectively.Upon 980 nm excitation,the color of upconversion (UC) emission can be finely tuned from green to yellow,and to red with increasing the excitation power density from 0.1 to 4.0 W/cm^2.The proposed materials readily integrate the advantages of excitation wavelength-dependent DS single-band emissions and sensitive excitation power-dependent UC multicolor emissions in one and the same material,which has never been reported before.Particularly,the proposed NPs exhibit excellent performance as security labels on trademark tag and security ink on painting,thus revealing the great potential of these lanthanide-doped fluoride NPs in multilevel anti-counterfeiting applications. | Wenwu You Datao Tu Renfu Li Wei Zheng Xueyuan Chen | 2019 | Nano Research2019，12，6： | 3 |
| 3 | Enhanced Speech Based Jointly Statistical Probability Distribution Function for Voice Activity Detection显示文摘Most of Voice activity detection(VAD)methods are based on statistical model.In these methods,the noise signal is always assumed to satisfy and characterized by Gaussian distribution,while the assumption of noise does not always hold in practice and which causes that these kinds of method fail to distinguish speech from noise at low Signal-noise-ratio(SNR) level in nonstationary noise condition.For going further to improve the robustness of VAD,a enhanced speech based method is proposed.In the proposed method,the Laplacian distribution is used to model the remained noise since we find that the remained noise in enhanced speech satisfy Laplacian distribution;in addition,Gaussian mixture model is used to characterize the Discrete Fourier transform(DFT)coefficients of reconstructed speech in enhanced speech.Experimental results show that the proposed method performs better than the baseline method,especially in low SNR and non-stationary noise conditions. | LI Jie YOU Datao | 2017 | Chinese Journal of Electronics2017，26，2： | 1 |
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