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Published in last 1 year |  In last 2 years |  In last 3 years |  All Please wait a minute... For Selected: Download Citations EndNote Ris BibTeX Toggle Thumbnails Select Design of Filter and Beam Aplitting Device Based on Photonic Crystal Ring Cavity WU Cong, SUN Jing, SU Muyang, ZHONG Liang Journal of Jishou University(Natural Sciences Edition)    2022, 43 (2): 38-44.   DOI: 10.13438/j.cnki.jdzk.2022.02.007 Abstract （382）      PDF（pc） （5751KB）（106）       Knowledge map    Save Based on the resonance coupling principle of photonic crystal ring cavity and waveguide,a  three-port photonic crystal dual-function device with two-dimensional triangular lattice was designed,which was composed of ring defect and line defect.The plane wave expansion method and the finite difference time domain method were used to analyze the transmission characteristics of optical wave in the device,and thus  the transmission characteristic curve and the light field distribution were obtained.Then the influence of the number and density of the central dielectric column on the transmission efficiency of the output port was discussed.The results show that the frequency can be selected by adjusting the number of central dielectric columns.When the number of medium column was 5,the device achieved the filtering function of 1.346 μm,1.455 μm and beam splitting function of 1.414 μm.According to the influence of the horizontal and vertical spacing of the central column on the transmittance,the optimal structure parameters of the device was obtained,and the transmittance of the filter wavelength and beam splitting wavelength of the device are calculated. Reference | Related Articles | Metrics | Comments（0） Select Changsha Dialect Recognition Based on CTC-GRU Model LIANG Xiaolin, SHEN Xiangfei, LIANG Zhao, QIU Hailin Journal of Jishou University(Natural Sciences Edition)    2022, 43 (2): 45-52.   DOI: 10.13438/j.cnki.jdzk.2022.02.008 Abstract （504）      PDF（pc） （589KB）（208）       Knowledge map    Save In order to recognize continuous speech in Changsha dialect with a large vocabulary,a gated linear element neural network model based on Connectionist Temporal Classification(CTC) algorithm is proposed.Firstly,the characteristic parameters of speech are extracted by Mel-scale Frequency Cepstral Coefficients(MFCC),and then the extracted characteristic parameters are input into gated linear unit neural network.CTC algorithm is used for training and optimization,and the whole prediction label of input sequence is obtained.Finally,the results of the CTC model,the GRU model and the CTC-GRU model are compared on the self-built corpus of Changsha dialect,and the Word Error Rate(WER) is taken as the evaluation index.The results show that the CTC-GRU model can achieve faster convergence and greater accuracy compared with the other two models. Reference | Related Articles | Metrics | Comments（0）