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SSRN 2022年

作者： Cao, Lijia Song, Pinde Wang, Yongchao Geng, Chuang Peng, Baoyu Sichuan University of Science & Engineering Yibin644000 China Technical University of Munich Munich80333 Germany Artificial Intelligence Key Laboratory of Sichuan Province Yibin644000 China Sichuan Province University Key Laboratory of Bridge Non-destruction Detecting and Engineering Computing Yibin644000 China

A lightweight target detection algorithm, MobileNetv3 extended neck YOLOv5 (MEN-YOLOv5) is proposed in this paper to simplify the complex structure of the YOLOv5 target detection network, reduce the number of model parameters, and improve detection accuracy of small targets. Firstly, to reduce the number of parameters, the backbone network YOLOv5 is re-constructed using the MobileNetv3 depthwise separable convolution. Secondly, in accordance with the characteristics of the air-to-ground detected targets and the YOLOv5 algorithm, the layers are extended to the shallow-layer on the basis of the Neck network structure and more shallow feature information are fused, which makes the developed algorithm have a smaller receptive field and improves accuracy of detection of small targets. Finally, channel parameters are re-designed and the Neck network structure is rebuilt to avoid the dramatic increase in the number of parameters. As a result, the number of parameters in the entire network structure are compressed to the maximum extent possible to produce lightweight target detection models. The effectiveness of the proposed algorithm is verified by experiments with the VisDrone-DET2019 dataset and the experimental results show that, compared with YOLOv5l and YOLOv5x, the numbers of parameters of MEN-YOLOv5-L reduce by 86.8% and 92.98%, and floating point operations (FLOPs) decrease by 46.18% and 71.58%, and mAP50 values increase by 7.18% and 5.78%, respectively. MEN-YOLOv5-S has 52.9% and 30.8% lower number of parameters and FLOPs, respectively, and 2.5% higher mAP50 than YOLOv5s. © 2022, The Authors. All rights reserved.

关键词： Signal detection

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Dynamical Behaviors, Chaotic Pattern and Multiple Optical Solitons for Coupled Stochastic Schrödinger-Hirota System in Magneto-Optic Waveguides with Multiplicative White Noise Via Itô Calculus

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SSRN 2024年

作者： Lu, Tianxiu Tang, Lu Chen, Yuanlin Chen, Caiwen Key Laboratory of Bridge Non-destruction Detecting and Engineering Computing Sichuan University of Science and Engineering Zigong643000 China School of Mathematics and Physics Chengdu University of Technology Chengdu610059 China

The primary focus of this study was on exploring the optical soliton solutions and chaotic patterns in magneto-optic waveguides through the coupled stochastic Schr¨odinger-Hirota equation with multiplicative white noise. Firstly, by means of traveling wave transformations and homogeneous balance principle, the the coupled stochastic Schr¨odinger-Hirota equation in magneto-optic waveguides is transformed into ordinary differential equation. By selecting some suitable parameters, phase diagrams are plotted with the help of the mathematical software Maple. Secondly, the optical soliton solutions of the coupled stochastic Schr¨odinger-Hirota equation corresponding to phase orbits can be easily deduced through the method of dynamical systems. Finally, the two-dimensional and threedimensional graphs of the stochastic Schr¨odinger-Hirota equation are drawn, which further explain the propagation of the coupled stochastic Schr¨odinger-Hirota equation in nonlinear optics. © 2024, The Authors. All rights reserved.

关键词： Ordinary differential equations

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Dynamical behaviors, chaotic pattern and multiple optical solitons for coupled stochastic Schrödinger–Hirota system in magneto-optic waveguides with multiplicative white noise via Itô calculus

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Results in Physics 2024年 60卷

作者： Lu, Tianxiu Tang, Lu Chen, Yuanlin Chen, Caiwen Key Laboratory of Bridge Non-destruction Detecting and Engineering Computing Sichuan University of Science and Engineering Zigong 643000 China School of Mathematics and Physics Chengdu University of Technology Chengdu 610059 China

The primary focus of this study was on exploring the optical soliton solutions and chaotic patterns in magneto-optic waveguides through the coupled stochastic Schrödinger–Hirota equation with multiplicative white noise. Firstly, by means of traveling wave transformations and homogeneous balance principle, the coupled stochastic Schrödinger–Hirota equation in magneto-optic waveguides is transformed into ordinary differential equation. By selecting some suitable parameters, phase diagrams are plotted with the help of the mathematical software Maple. Secondly, the optical soliton solutions of the coupled stochastic Schrödinger–Hirota equation corresponding to phase orbits can be easily deduced through the method of dynamical systems. In addition, chaotic behavior for the coupled stochastic Schrödinger–Hirota system with perturbation term has been discussed in detail. Finally, the two-dimensional and three-dimensional graphs of the stochastic Schrödinger–Hirota equation are drawn, which further explain the propagation of the coupled stochastic Schrödinger–Hirota equation in nonlinear optics. © 2024 The Author(s)

关键词： Bifurcations Chaotic pattern Coupled stochastic Schrödinger–Hirota equation Optical solitons

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Some Sufficient Conditions Under Which a non-Autonomous Discrete System or Semi-Flow is Sensitive

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SSRN 2022年

作者： Li, Risong Wang, Hongqing Lu, Tianxiu Li, YongJiang Quan, Weizhen School of Mathematics and Computer Science Guangdong Ocean University Zhanjiang524025 China College of Mathematics and Statistics Sichuan University of Science and Engineering Zigong Sichuan 643000 China Bridge Non-destruction Detecting and Engineering Computing Key Laboratory of Sichuan Province Zigong Sichuan 643000 China Artificial Intelligence Key Laboratory of Sichuan Province Key Laboratory of Higher Education of Sichuan Province for Enterprise Informationalization and Internet of Things Zigong Sichuan 643000 China Department of Mathematics Zhanjiang Preschool Education College Zhanjiang524037 China

In this paper we are concerned withsensitivity for non-autonomous discrete systems and semi-flows. Somesufficient conditions of sensitivity for non-autonomous discretesystems and semi-flows are established, where it is not requiredthat maps and semi-flows are continuous or measure-preserving, andthat spaces are compact. In particular, it is shown that if anon-autonomous discrete system (F1,∞, G) (resp. a semi-flow F) on a nontrivial metric space (G,p) satisfies one of thefollowing two conditions:(1) d(NF1,∞(V,V)) + d(NF1,∞(U,V)) > 1 (resp. d(NF(V,V) + d(NF(U,V)) > 1) for any open sets U,V ⊂ G with U, V ≠ ∅;(2) [[EQUATION]] for any open sets U,V ⊂ G with U, V ≠ ∅,then it is ergodically sensitive, which means that it is sensitive. Our results improve and extend the exiting results. © 2022, The Authors. All rights reserved.

关键词： Topology

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Image reconstruction of concrete based on Filtered Backprojection method using ultrasonic time of flight data

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Computer Modelling and New Technologies 2014年第6期18卷 72-78页

作者： Fan, Honghui Zhu, Hongjin Han, Qingbang School of Computer Engineering Jiangsu University of Technology Changzhou Jiangsu China Sichuan Province Key Laboratory of Bridge non-destructive testing and engineering computing Zigong Sichuan China Key Laboratory of Cloud Computing Intelligent Information Processing of Changzhou City Changzhou Jiangsu China College of IOT Engineering Hohai University Jiangsu China

This research aims to recognize the defect of concrete materials using an ultrasonic computed tomography imaging technique. Filtered Backprojection method was used to reconstruct concrete images in this paper. Ultrasonic time of flight data was measured to reconstruct computer tomography images. 306 data paths were obtained in total by manual scanning for one computer tomography image. We examined the effect of the interpolation data as the density of time of flight data has a considerable effect on image quality. The feasibility of concrete reconstruction system and time of flight data interpolation were examined in detail using numerical and concrete phantoms.

关键词： Interpolation

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