Random gain medium based on organic Rhodamine 590 (R590) laser-dye and Titanium dioxide (TiO2) suspended nanoparticles have been prepared with polymethylmethacrylate (PMMA) as a host. Spray-coated homogeneous film sam...Random gain medium based on organic Rhodamine 590 (R590) laser-dye and Titanium dioxide (TiO2) suspended nanoparticles have been prepared with polymethylmethacrylate (PMMA) as a host. Spray-coated homogeneous film samples of 22.4 μm thickness. Optimum concentrations have been determined depending on the normal fluorescence spectra which give evidence that the laser dye provides amplification and TiO2 nanoparticles act as scatter center. At the optimum concentrations, results of the random gain medium under second harmonic Nd: YAG laser excitation shows that the values of bandwidth at full width half-maximum (FWHM) and the threshold energy are about 11 nm and 10 mJ respectively.展开更多
The random laser (RL) based on organic Rhodamine 6G (R6G) laser- dye and Titanium dioxide (TiO2) suspended nanoparticles have been prepared with polymethylmethacrylate (PMMA) as a host. Both liquid and spray-coated ho...The random laser (RL) based on organic Rhodamine 6G (R6G) laser- dye and Titanium dioxide (TiO2) suspended nanoparticles have been prepared with polymethylmethacrylate (PMMA) as a host. Both liquid and spray-coated homogeneous film samples of 22.4 μm - 30.1 μm thickness range were use. Optimum concentrations have been determined depending on the normal fluorescence spectra which give evidence that the laser dye provides amplification and TiO2 nanoparticles as scatter center. At the optimum concentrations, results of the random laser (RL) under second harmonic Nd: YAG laser ex-citation show that the values of bandwidth at full width half-maximum (FWHM) and the threshold energy are about 9 nm and 15 mJ respectively, which represent the minimum value for the liquid samples in the current research. Correspondly, these values become 14 nm and 15 mJ for film sample. The broadening that can be attributed to the concentration quenching of a laser dye at high concentration levels has been observed.展开更多
Here,a plasmon-enhanced random laser was achieved by incorporating gold nanostars（NS） into disordered polymer and Cd Se/Zn S quantum dots（QDs） gain medium films,in which the surface plasmon resonance of gold NS ca...Here,a plasmon-enhanced random laser was achieved by incorporating gold nanostars（NS） into disordered polymer and Cd Se/Zn S quantum dots（QDs） gain medium films,in which the surface plasmon resonance of gold NS can greatly enhance the scattering cross section and bring a large gain volume.The random distribution of gold NS in the gain medium film formed a laser-mode resonator.Under a single-pulse pumping,the scattering center of gold NS-based random laser exhibits enhanced performance of a lasing threshold of 0.8 m J/cm^2 and a full width as narrow as 6 nm at half maximum.By utilizing the local enhancement characteristic of the electric field at the sharp apexes of the gold NS,the emission intensity of the random laser was increased.In addition,the gold NS showed higher thermal stability than the silver nanoparticles,withstanding high temperature heating up to 200？C.The results of metal nanostructures with enriched hot spots and excellent temperature stability have tremendous potential applications in the fields of biological identification,medical diagnostics,lighting,and display devices.展开更多
针对大数据环境下随机森林算法存在冗余与不相关特征过多、特征子空间信息含量不足以及并行化效率低等问题,提出了结合增益率与堆叠自编码器的并行随机森林算法PRFGRSAE(parallel random forest algorithm combining gain ratio and sta...针对大数据环境下随机森林算法存在冗余与不相关特征过多、特征子空间信息含量不足以及并行化效率低等问题,提出了结合增益率与堆叠自编码器的并行随机森林算法PRFGRSAE(parallel random forest algorithm combining gain ratio and stacked auto encoders)。首先,提出了结合非线性归一化增益率和堆叠自编码器的降维策略DRNGRSAE(dimension reduction combining nonlinear normalization gain ratio and stacked auto encoders),通过过滤特征集中的冗余和不相关特征,并利用堆叠自编码器提取特征,有效减少了冗余以及不相关特征数;其次,提出了结合拉丁超立方抽样与归一化相关度的子空间选择策略SSLF(subspace selection strategy combining Latin hypercube sampling and feature class correlation),通过对特征集进行多层划分抽样,形成空间表达度较高的特征子空间,有效保证了特征子空间的信息含量;最后,提出结合可变动作学习自动机的reducer分配策略DSVLA(distribution strategy based on variable-action learning automata),使每个数据簇均匀分配到reducer进行处理,有效提高了并行化效率。实验结果表明,PRFGRSAE算法的加速比与准确度较IMRF、KSMRF和GAPRF算法都有显著提升,因此该算法应用于大数据处理,特别对包含较多特征的数据集有更高的精准度和并行效率。展开更多
This research aims to develop a model to enhance lymphatic diseases diagnosis by the use of random forest ensemble machine-learning method trained with a simple sampling scheme. This study has been carried out in two ...This research aims to develop a model to enhance lymphatic diseases diagnosis by the use of random forest ensemble machine-learning method trained with a simple sampling scheme. This study has been carried out in two major phases: feature selection and classification. In the first stage, a number of discriminative features out of 18 were selected using PSO and several feature selection techniques to reduce the features dimension. In the second stage, we applied the random forest ensemble classification scheme to diagnose lymphatic diseases. While making experiments with the selected features, we used original and resampled distributions of the dataset to train random forest classifier. Experimental results demonstrate that the proposed method achieves a remark-able improvement in classification accuracy rate.展开更多
文摘Random gain medium based on organic Rhodamine 590 (R590) laser-dye and Titanium dioxide (TiO2) suspended nanoparticles have been prepared with polymethylmethacrylate (PMMA) as a host. Spray-coated homogeneous film samples of 22.4 μm thickness. Optimum concentrations have been determined depending on the normal fluorescence spectra which give evidence that the laser dye provides amplification and TiO2 nanoparticles act as scatter center. At the optimum concentrations, results of the random gain medium under second harmonic Nd: YAG laser excitation shows that the values of bandwidth at full width half-maximum (FWHM) and the threshold energy are about 11 nm and 10 mJ respectively.
文摘The random laser (RL) based on organic Rhodamine 6G (R6G) laser- dye and Titanium dioxide (TiO2) suspended nanoparticles have been prepared with polymethylmethacrylate (PMMA) as a host. Both liquid and spray-coated homogeneous film samples of 22.4 μm - 30.1 μm thickness range were use. Optimum concentrations have been determined depending on the normal fluorescence spectra which give evidence that the laser dye provides amplification and TiO2 nanoparticles as scatter center. At the optimum concentrations, results of the random laser (RL) under second harmonic Nd: YAG laser ex-citation show that the values of bandwidth at full width half-maximum (FWHM) and the threshold energy are about 9 nm and 15 mJ respectively, which represent the minimum value for the liquid samples in the current research. Correspondly, these values become 14 nm and 15 mJ for film sample. The broadening that can be attributed to the concentration quenching of a laser dye at high concentration levels has been observed.
基金Project supported by the National Key Research and Development Program of China(Grant No.2017YFA0205800)the National Natural Science Foundation of China(Grant Nos.11734005,61307066,and 61450110442)+3 种基金the Natural Science Foundation of Jiangsu Province,China(Grant No.BK20130630)the Doctoral Fund of Ministry of Education of China(Grant No.20130092120024)the Innovation Fund of School of Electronic Science and Engineering,Southeast University,China(Grant No.2242015KD006)the Scientific Research Foundation of Graduate School of Southeast University,China(Grant Nos.YBJJ1513 and YBJJ1613)
文摘Here,a plasmon-enhanced random laser was achieved by incorporating gold nanostars（NS） into disordered polymer and Cd Se/Zn S quantum dots（QDs） gain medium films,in which the surface plasmon resonance of gold NS can greatly enhance the scattering cross section and bring a large gain volume.The random distribution of gold NS in the gain medium film formed a laser-mode resonator.Under a single-pulse pumping,the scattering center of gold NS-based random laser exhibits enhanced performance of a lasing threshold of 0.8 m J/cm^2 and a full width as narrow as 6 nm at half maximum.By utilizing the local enhancement characteristic of the electric field at the sharp apexes of the gold NS,the emission intensity of the random laser was increased.In addition,the gold NS showed higher thermal stability than the silver nanoparticles,withstanding high temperature heating up to 200？C.The results of metal nanostructures with enriched hot spots and excellent temperature stability have tremendous potential applications in the fields of biological identification,medical diagnostics,lighting,and display devices.
文摘针对大数据环境下随机森林算法存在冗余与不相关特征过多、特征子空间信息含量不足以及并行化效率低等问题,提出了结合增益率与堆叠自编码器的并行随机森林算法PRFGRSAE(parallel random forest algorithm combining gain ratio and stacked auto encoders)。首先,提出了结合非线性归一化增益率和堆叠自编码器的降维策略DRNGRSAE(dimension reduction combining nonlinear normalization gain ratio and stacked auto encoders),通过过滤特征集中的冗余和不相关特征,并利用堆叠自编码器提取特征,有效减少了冗余以及不相关特征数;其次,提出了结合拉丁超立方抽样与归一化相关度的子空间选择策略SSLF(subspace selection strategy combining Latin hypercube sampling and feature class correlation),通过对特征集进行多层划分抽样,形成空间表达度较高的特征子空间,有效保证了特征子空间的信息含量;最后,提出结合可变动作学习自动机的reducer分配策略DSVLA(distribution strategy based on variable-action learning automata),使每个数据簇均匀分配到reducer进行处理,有效提高了并行化效率。实验结果表明,PRFGRSAE算法的加速比与准确度较IMRF、KSMRF和GAPRF算法都有显著提升,因此该算法应用于大数据处理,特别对包含较多特征的数据集有更高的精准度和并行效率。
文摘This research aims to develop a model to enhance lymphatic diseases diagnosis by the use of random forest ensemble machine-learning method trained with a simple sampling scheme. This study has been carried out in two major phases: feature selection and classification. In the first stage, a number of discriminative features out of 18 were selected using PSO and several feature selection techniques to reduce the features dimension. In the second stage, we applied the random forest ensemble classification scheme to diagnose lymphatic diseases. While making experiments with the selected features, we used original and resampled distributions of the dataset to train random forest classifier. Experimental results demonstrate that the proposed method achieves a remark-able improvement in classification accuracy rate.
