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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 Improved YOLOv4 Lung Nodule Detection Algorithm LIN Kunhuang, LI Jianfeng, WANG Yang, LIU Zhijie, LIU Zheyu Journal of Jishou University(Natural Sciences Edition)    2023, 44 (1): 24-29.   DOI: 10.13438/j.cnki.jdzk.2023.01.004 Abstract （461）      PDF（pc） （4395KB）（165）       Knowledge map    Save An improved YOLOv4 lung nodule detection algorithm is designed to solve the problems of small target missing detection and lung nodule position distortion in the target detection YOLOv4 algorithm.On the basis of the original YOLOv4 network,the up sampling process of the feature fusion network is replaced by the bilinear interpolation method,and the tensor stacking method is used to make the semantic information of the top layer and the location information of the bottom layer to form a higher channel feature tensor.The experimental results show that,compared with the original YOLOv4 algorithm,the average accuracy and prediction speed of the improved YOLOv4 algorithm on the public dataset LUAN16 are improved by 4.54% and 28.1% respectively,and the visualization results have more accurate position expression. Reference | Related Articles | Metrics | Comments（0） Select Reflection Model of Lambert Surface in Three Light Sources XU Xuemei, YANG Fenlin Journal of Jishou University(Natural Sciences Edition)    2023, 44 (1): 30-33.   DOI: 10.13438/j.cnki.jdzk.2023.01.005 Abstract （612）      PDF（pc） （437KB）（214）       Knowledge map    Save In order to idealize the reflection model of object surface,the scene radiance of the Lambertian object illuminated by the strip light source,the uniform light source and the hemispherical uniform light source is derived by the radiance and the spherical triangle formula,and then the Lambertian surface reflection model in three kinds of light sources is obtained. Reference | Related Articles | Metrics | Comments（0） Select Preparation of MnO2/CNTs Composites and the Electrochemical Performances as Cathode Materials for ARZIBs YANG Ping, LIU Sijia, WAN Chaoyi, LIU Jiale, CAO Jing, JIANG Jianbo Journal of Jishou University(Natural Sciences Edition)    2023, 44 (1): 34-43.   DOI: 10.13438/j.cnki.jdzk.2023.01.006 Abstract （304）      PDF（pc） （8566KB）（100）       Knowledge map    Save Manganese acetate and ammonium persulfate used as raw materials,MnO2 was prepared by hydrothermal synthesis method,and then MnO2/CNTs composites was prepared by ultrasonic method.The products were characterized by X-ray diffraction,fourier transform infrared spectroscopy and scanning electron microscopy,and their electrochemical performances as cathode for AZIBs were measured by cyclic voltammetry,electrochemical impedance spectrum and galvanostatic charge-dicharge.The results showed that the product was β-MnO2 nanowires at the reaction temperature of 140 ℃ and reaction time of 22 h.The chemical structure of β-MnO2 did not change when it was compounded with CNTs.When circulated 20 times at 0.1C magnification,the first specific discharge capacity of β-MnO2/CNTs electrode in 1 mol/L ZnSO4+0.5 mol/L MnSO4 aqueous solution is 140 mAh/g.Compared with the first discharge specific capacity of β-MnO2/CNTs electrode in 1 mol/L ZnSO4 solution (45 mAh/g),the first discharge specific capacity has been increased by 2 times;and compared with the first discharge specific capacity of β-MnO2 electrode in 1 mol/L ZnSO4+ 0.5 mol/L MnSO4 aqueous solution (27 mAh/g),it has been increased by 4 times,which indicates that the composite of β-MnO2 and CNTs can improve the electrochemical performance of β-MnO2 Moreover,the electrochemical performance of β-MnO2/CNTs electrode is better in 1 mol/L ZnSO4+0.5 mol/L MnSO4 aqueous solution,but the capacity retention rate is only 50%,which indicates that the performances of the battery needs to be further improved. Reference | Related Articles | Metrics | Comments（0）