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The Design of Anti-aliasing Analog Filter for Data Acquisition in the Surface Measurement
Xu Jingbo,Xu Xiaohong,Yang Pengyu,Lin Haijun,Guo Xin 보안공학연구지원센터 2014 International Journal of Signal Processing, Image Vol.7 No.5
In the surface measurement system, the data acquisition is key part and the anti-aliasing analog filter is necessary. This paper deals with the design of the anti-aliasing analog filter. Based on the principle of anti-aliasing filtering, the parameters of filter are computed, the filter circuit is designed, and the frequency characteristic is drawn. Combined with digital filter, the filtering can maintain the low frequency components very well and suppress effectively the high frequency signals in the original surface profile, which reduces the distortion caused by noise and makes the filtering effect better. This method has been applied in the surface measurement system and the actually measured data verified the performance of the filter.
Metal Adsorbate-Induced Plasmon Damping in Gold Nanorods: The Difference Between Metals
Pengyu Xu,Xuxing Lu,Junwei Zhao,Yue Li,Sheng Chen,Junfei Xue,Weihui Ou,Song Han,YAPING DING,Weihai Ni 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2016 NANO Vol.11 No.9
We presented a single particle study on the metal adsorbate-induced plasmon damping in Au nanorods (AuNRs) through adsorbing clusters of different metals including Pt, Au and Ag. AuNRs with different longitudinal surface plasmon resonance (LSPR) wavelength were measured and investigated individually. Linewidth broadening, plasmon shift and reduction of plasmonic resonance of single AuNRs were studied and compared between Pt, Au and Ag adsorbates. The measured linewidths perfectly match the theoretical predictions of the billiard model with increased scattering coefficients resulted from the metal adsorbates. The results indicate that the plasmon damping in case of Ag is significantly weaker than Pt and Au, which can be attributed to longer relaxation time of free electrons in Ag and therefore less loss of the oscillating plasmon electrons. In contrast to the red shift observed from Au and Pt, blue shift of the LSPR is observed in case of Ag. It suggests that plasmonic properties brought by the metal adsorbates can exert dramatic influence on the nanoparticle that is adsorbed with. We believe that our study not only provides important understanding on plasmon damping but pave the road for the fabrication of complex nanostructures with two or more metal elements.
Jian Xiao,Gang Xu,Lu Wang,Pengyu Li,Wenqin Zhang,Ning Ma,Minli Tao 한국공업화학회 2019 Journal of Industrial and Engineering Chemistry Vol.77 No.-
Four categories of sulfonic acid functionalizedfiber catalysts with different surface microenvironmentswere synthesized by covalent grafting using polyacrylonitrilefiber (PANF) as the support. After the effectof acid structure on catalytic activity has been investigated by Friedlander reaction, PANEOSF was chosenfor the synthesis of quinolines and coumarin derivatives with high yields and extensive substrate scope(51 examples) in ethanol or water. The effect of electrostatic microenvironment and solvent has beendiscussed, and a “release-catch-release-catch” catalytic pattern was proposed accordingly. PANEOSF canbe easily recycled for 20 times without any decrease of catalytic activity.
An Effective Krill Herd Algorithm for Numerical Optimization
Songwei Huang,Lifang He,Xu Si,Yuanyuan Zhang,Pengyu Hao 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.7
The krill herd (KH) algorithm is a novel swarm intelligent algorithm which is inspired the herding behavior of the krill swarms. The various test results in the relevant literature show that the KH algorithm has better performance than the other swarm intelligent algorithm for optimization problem. In order to further improve the performance of the KH algorithm, an improved KH is proposed in this paper. The algorithm is performed on ten test functions and the results are compared with the basic KH algorithm, PSO, DE and GA algorithm. The experimental results indicate that the improved algorithm is a good method for numerical optimization problem.