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2021 5th International Workshop on Advanced Algorithms and Control Engineering, IWAACE 2021

作者： Li, Menglei Rong, Yingjiao Wang, Shirui Wang, Yuchen Sun, Ping CSSC Ocean Exploration Technology Institute Co. Ltd. Wuxi Jiangsu214035 China Science and Technology on Near-Surface Detection Laboratory Wuxi Jiangsu214135 China

Aiming at the problem of eliminating the influence of channel interference on the detection results in the process of using sonar to detect very shallow water targets, a sonar image reconstruction method based on adaptive compensation of very shallow water acoustic channel features is proposed. Standard acoustic source and remote server are used to complete the adaptive calibration process of channel characteristic parameters before detection. The calibrated channel characteristic parameters are used in the subsequent beamforming algorithm to compensate the channel interference. The time-of-flight parameters calculated by the compensation algorithm are used in the subsequent point cloud generation and image reconstruction. Simulation and field test show that the proposed compensation method can improve sonar target detection ability by 25% in very shallow water and complex acoustic channel environment, and the quality of sonar image reconstruction is significantly improved. © Published under licence by IOP Publishing Ltd.

关键词： Image reconstruction

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Multiple-Model Based EM Algorithm for Multirate ARX Model with Time-Delay 5th

Multiple-Model Based EM Algorithm for Multirate ARX Model wi...

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5th International Conference on Intelligent Computing, Communication and Devices, ICCD 2019

作者： Rong, Yingjiao Xu, Yuelin Ding, Kai Qi, Xiaogang Science and Technology on Near-Surface Detection Laboratory The First Scientific Research Institute of Wuxi Wuxi214000 China School of Mathematics and Statistics Xidian University Xi’an710071 China

ISBN: (纸本)9789811558863

In this paper, we concentrate on the identification of problems of the Auto Regressive eXogenous models with uncertain random time-delays based on multiple-model approach. It is assumed that the local models have the Auto Regressive eXogenous structure, and vary from one operating point to another. In addition, the unknown delay at each sampling point is varying. The expectation-maximization (EM) algorithm is proposed in order to estimate the unknown parameters and the variables. The considered method in this paper can estimate the parameters and the hidden variables iteratively. The simulation results demonstrate the capability of the proposed method. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Time delay

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Application of Orientation Determination technology Using Navigation Satellite System in Intelligent Minefield 5th

Application of Orientation Determination Technology Using Na...

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5th International Conference on Intelligent Computing, Communication and Devices, ICCD 2019

作者： Yu, Ning Zheng, Shoujun Huang, Wenjun Ding, Kai Qi, Xiaogang Science and Technology on Near-Surface Detection Laboratory The First Scientific Research Institute of Wuxi Wuxi214000 China School of Mathematics and Statistics Xidian University Xi’an710071 China

ISBN: (纸本)9789811558863

The basic principles of orientation determination technology using a navigation satellite system are introduced. Aiming at the application requirements of intelligent minefield, the principle prototypes of north seeker using BD-2 navigation satellite system are designed and trial-manufactured. Through experiments, the directional performance of north seeker is measured, and the feasibility of applying orientation determination technology using a navigation satellite system to intelligent minefield is verified. The conclusion can provide a feasible approach of gaining orientation benchmark for establishing a unified coordinate system of intelligent minefield. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Navigation

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BOTTOM REVERBERATION SUPPRESSION USING DELAY-DOPPLER DECONVOLUTION FOR THE detection OF LOW-SPEED SMALL TARGETS IN VERY SHALLOW WATER 28

BOTTOM REVERBERATION SUPPRESSION USING DELAY-DOPPLER DECONVO...

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28th International Congress on Sound and Vibration, ICSV 2022

作者： Yacong, Zhao Xionghou, Liu Chao, Sun Jie, Zhuo Yixin, Yang School of Marine Science and Technology Northwestern Polytechnical University Shaanxi Xi'an710072 China Shaanxi Key Laboratory of Underwater Information Technology Shaanxi Xi'an710072 China Science and Technology on Near-Surface Detection Laboratory Wuxi214035 China

ISBN: (纸本)9789811850707

In the scenarios of detecting the underwater low-speed small targets (e.g., frogmen or UUVs) in the very shallow water environment (e.g., harbor or shoal where the water depth is about several meters), much attention has been attracted on reverberation suppression. Based on the Doppler difference between the moving target echoes and the bottom reverberation dominant in the very shallow water, the traditional matched filtering may realize the separation of the bottom reverberation and the target echoes. However, the Doppler incurred by low-speed small targets is quite small, so the performance on the bottom reverberation suppression seriously degrades due to the limitation of Doppler resolution of the traditional approach. Therefore, it is urgent to improve its Doppler resolution to separate low-speed small targets out from the nearly static bottom reverberation. Generally, the reverberation and the target echoes can be considered as the weighted sum of the copies of transmitted signal with different delay and Doppler, which indicates that "the cross-ambiguity function of the received echo is approximately the two-dimensional convolution of the auto-ambiguity function of transmitted signal and the generalized "target" reflectivity density function (i.e., the weighted sum of the 2-D Dirac Delta function convolved with different delays and Doppler shifts)". In this paper, regarding the auto-ambiguity function of the transmitted signal as the 2-D point spread function (PSF), an iterative deconvolution algorithm called the Richardson-Lucy (R-L) algorithm is exploited to deblur the conventional delay-Doppler output. This processing can obtain approximately the generalized "target" reflectivity density function similar to the thumbtacks, which can significantly improve the resolution of the delay and Doppler of the raw output, and separate the slow-speed small targets submerged by the bottom reverberation. Simulations show the effectiveness and superiority of the proposed

关键词： Reflection

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An Algorithm for Intelligent Attack Decision-Making 5th

An Algorithm for Intelligent Attack Decision-Making

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5th International Conference on Intelligent Computing, Communication and Devices, ICCD 2019

作者： Hu, Shouwei Huang, Wenjun Cai, Ying Tang, Qi Qi, Xiaogang Science and Technology on Near-Surface Detection Laboratory The First Scientific Research Institute of Wuxi Wuxi214035 China School of Mathematics and Statistics Xidian University Xi’an710071 China

ISBN: (纸本)9789811558863

This paper analyzed constraints on intelligent decision-making in the obstacle course and put its focus on three factors––distance threat, angle threat, and excessive attack. Being based on these factors, an intelligent decision-making model was constructed, single/multi-target intelligent decision-making process. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Decision making

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Robust object tracking via sparse representation based on compressive collaborative Haar-like feature space

Robust object tracking via sparse representation based on co...

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International Conference on Audio, Language and Image Processing, ICALIP

作者： Ming Zhao Han-Ming Qian Rong Ying-Jiao Guo Chen Science and Technology on Near-Surface Detection Laboratory Wuxi Jiangsu China

ISBN: (纸本)9781509006557

Robust object tracking is a challenging problem as data streams change over time. In this paper we proposed a robust yet fast sparse tracking method using compressive collaborative Haar-like feature space of the model collection including positive (foreground), negative (background) and square templates. As traditional methods, the target is sparsely represented in the models with positive templates only and directly. But, as the complexity computation of sparse representation, we use the compressive Haar-like feature of positive and square templates to deal with occlusion. In order to improve the reliability during the tracking process, we develop a sparsity-based discriminative expression using foreground and background information. The expression with foreground reconstruction error and background reconstruction error is formulated to find the most correct sample. At last, a new update scheme related to the coefficients of templates of our appearance model is presented. Numerous challenging image sequences demonstrate that the proposed algorithm is able to adapt to scale, pose variation, rotation, occlusion and shows excellent real-time performance.

关键词： Target tracking Computational modeling Robustness Image reconstruction Collaboration Real-time systems Image coding

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Mesoscopic Modeling Approach and Application for Steel Fiber Reinforced Concrete under Dynamic Loading:A Review

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Engineering 2022年第9期16卷 220-238页

作者： Jinhua Zhang Zhangyu Wu Hongfa Yu Haiyan Ma Bo Da School of Civil Engineering Southeast UniversityNanjing 210096China Department of Civil and Airport Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016China Science and Technology on Near-Surface Detection Laboratory Wuxi 214035China College of Harbour Coastal and Offshore EngineeringHohai UniversityNanjing 210098China

Steel fiber reinforced concrete(SFRC)has drawn extensive attention in recent years for its superior mechanical response to dynamic and impact *** on the existing test results,the highstrength steel fibers embedded in a concrete matrix usually play a strong bridging effect to enhance the bonding force between fiber and the matrix,and directly contribute to the improvement of the post-cracking behavior and residual strength of *** gain a better understanding of the action behavior of steel fibers in matrix and further capture the failure mechanism of SFRC under dynamic loads,the mesoscopic modeling approach that assumes SFRC to be composed of different mesoscale phases(i.e.,steel fibers,coarse aggregates,mortar matrix,and interfacial transition zone(ITZ))has been widely employed to simulate the dynamic responses of SFRC material and structural *** paper presents a comprehensive review of the state-of-the-art mesoscopic models and simulations for SFRC under dynamic *** approaches for the SFRC mesoscale model in the simulation works,including steel fiber,coarse aggregate,and the ITZ between them,are reviewed and compared *** material models for different phases and the interaction relationship between fiber and concrete matrix are summarized ***,some example applications for SFRC under dynamic loads(i.e.,compression,tension,and contact blast)simulated using the general mesoscale models are ***,some critical analysis on the current shortcomings of the mesoscale modeling of SFRC is highlighted,which is of great significance for the future investigation and development of SFRC.

关键词： Steel fiber reinforced concrete Mesoscale modeling Dynamic loading Materials model Interfacial characteristic

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Ground penetrating radar target detection method based on optimized Faster RCNN and k-means clustering

Ground penetrating radar target detection method based on op...

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IET International Radar Conference 2023, IRC 2023

作者： Xin, Changle Lei, Wentai Luo, Chaopeng Xue, Wei School of Computer Science and Engineering Central South University Changsha China School of Electronic Information Central South University Changsha China Science and Technology on Near-Surface Detection Laboratory Wuxi China

ISBN: (纸本)9781839539954

Ground Penetrating Radar (GPR) technology is a widely used detection technology for underground target objects, which can perform non-destructive detection of underground targets. Due to the complexity of the underground environment and the interference of clutter, manual processing of GPR data is a time-consuming and laborious task. Therefore, an accurate and fast automatic underground target detection method is urgently needed. We propose a method that can achieve fast goals in complex multi-goal situations. The simplified ResNet-50 network is used to detect dense intersecting hyperbolic curves and reduce the computation of the network. At the same time, we use k-means clustering algorithm to optimize the anchor in faster-Rcnn based on the characteristics of GPR hyperbola. In addition, this method is also suitable for target detection on GPR images under random media. © The Institution of Engineering & technology 2023.

关键词： K-means clustering

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3D Characteristic Diagram of Acoustically Induced surface Vibration with Different Landmines Buried

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Transactions of Tianjin University 2016年第4期22卷 367-373页

作者：吴智强张燕丽王驰朱俊徐文文袁志文 Department of Precision Mechanical Engineering Shanghai UniversityShanghai 200072China North Automatic Control Technology Research Institute Taiyuan 030006China Science and Technology on Near-Surface Detection Laboratory Wuxi 214035China State Key Laboratory of Precision Measuring Technology and Instruments Tianjin UniversityTianjin 300072China Shanghai Public Utility School Shanghai 200030China

The 3D characteristic diagram of acoustically induced surface vibration was employed to study the influence of different buried landmines on the acoustic detection signal. By using the vehicular experimental system for acoustic landmine detection and the method of scanning detection, the 3D characteristic diagrams of surface vibration were measured when different objects were buried underground, including big plastic landmine, small plastic landmine, big metal landmine and bricks. The results show that, under the given conditions, the surface vibration amplitudes of big plastic landmine, big metal landmine, small plastic landmine and bricks decrease in turn. The 3D characteristic diagrams of surface vibration can be used to further identify the locations of buried landmines.

关键词： acoustic-to-seismic(A/S) coupling acoustic landmine detection acoustic resonance surface vibration velocity

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Semi-supervised Medical Image Segmentation based on Coarse-Fine Dual Training Streams

Semi-supervised Medical Image Segmentation based on Coarse-F...

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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Sun, Lizhi Huang, Yong Qiao, Zhengyu Yang, Boyu Li, Xiaochen Hao, Qun Beijing Institute of Technology School of Optics and Photonics Beijing China Yangtze Delta Region Academy Beijing Institute of Technology National Key Laboratory on Near Surface Detection Jiaxing China

ISBN: (纸本)9798350386226

Commonly used semi-supervised medical segmentation networks usually use consistent learning under different data perturbations to regularise training, ignoring the multiscale information of the data itself. Therefore, this paper proposes a new network based on coarse and fine dual training streams(CF-UNet), which consists of a backbone network and auxiliary learning branches(ALB). Our approach has the following two novel designs: 1) We design a simple and effective coarse- fine dual training streams. Specifically, in the coarse training stream, we improve the robustness and generalisation of the model by establishing regularisation between different strong and weak perturbation views. In the fine training stream, we introduce an auxiliary learning branch to improve the prediction performance of the backbone network.2) In the ALB module, we design the channel spatial fusion attention module (CSMA) and multiscale large kernel convolutional attention (MS-LKA) to perform feature extraction and fusion from a variety of scales. We evaluate our proposed method on ACDC and DRIVE datasets and numerous experiments have shown that our CF-UNet outperforms state-of-the-art networks. Code is available at https://***/slz-bit/CF-UNet. © 2024 IEEE.

关键词： Image segmentation

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