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9th International Conference on Environmental and Engineering Geophysics, ICEEG 2020

作者： Yan, Weicun Liu, Sixin College of Geo-exploration Science and Technology Jilin University Changchun China Science and Technology on Near-Surface Detection Laboratory Wuxi China

Borehole radar has been widely used in engineering, exploration and other fields, and the detection distance of borehole radar is an important indicator to measure its performance. The detection distance of borehole radar is affected by many factors, including the radar system, the physical properties of background medium, the borehole environment and so on. In this paper, the relationship between the detection distance of the borehole radar and the resistivity of background medium is studied by numerical simulation. The experimental results show that the detection distance of borehole radar increases with the increase of the resistivity of background medium, and the relationship between them is approximately linear. This kind of simulation is helpful to the theoretical study of the borehole radar. © Published under licence by IOP Publishing Ltd.

关键词： Boreholes

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Generative Adversarial Networks for Exo-atmospheric Infrared Objects Discrimination

Generative Adversarial Networks for Exo-atmospheric Infrared...

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2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019

作者： Wu, Dongya Lu, Huanzhang Tao, Huamin Zhao, Bendong Zhao, Ming National University of Defense Technology Department of Electronic Science Changsha China Science and Technology on Near-Surface Detection Laboratory Wuxi China

ISBN: (纸本)9781728123455

External atmospheric infrared (IR) target recognition is an important research topic of space surveillance systems. The different micromotion states of the target result in respective features in the obtained sequence of IR radiation intensities, and such differences are difficult to visually describe and difficult to extract efficiently. Due to the difficulty of spatial experiments, the target sample data is very limited. In the case of limited labeled samples, there are few methods that can effectively classify time series effectively, resulting in low classification accuracy and difficulty in meeting practical application requirements. We use generative adversarial networks(GAN) for semi-supervised learning, combining neural network classifiers with adversarial generation models for the classification of infrared grayscale time series of spatial targets. The effective classification of the target is achieved with a small number of labeled target samples. The experiment proves the effectiveness of the method and the classification effect is better than other methods. © 2019 IEEE.

关键词： Generative adversarial networks

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Link quality and energy-efficient cross-layer routing protocol for low power wireless sensor network

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Journal of Computational Information Systems 2015年第15期11卷 5639-5646页

作者： Wang, Xi Chen, Jiapin Zhao, Shuai Li, Zhenbo Hu, Shouwei Key Laboratory of Thin Film and Microfabrication of Ministry of Education School of Electronics Information and Electrical Engineering Shanghai Jiaotong University Shanghai China Science and Technology on Near Surface Detection Laboratory College of Computer Science Wuxi China

Wireless sensor network is usually used in external environment, which is not artificially controlled, using battery as its power supply. Therefore, how to reduce power consumption via legitimate routing protocol and improve the lifetime of the network, are being widely studied in recent years. In this paper, we propose a cross-layer routing protocol that considered link quality and energy-efficiency simultaneously during the routing establishment phase. Then during the routing maintenance phase, the protocol utilizes link quality and the remaining energy of nodes to predict the routing interruption and perform local repair. The protocol is simulated on IEEE 802.15.4 Matlab Simulator. The result shows that our protocol effectively improves lifetime and the data delivery ratio of the network, and also the performance and stability of AODV. Copyright © 2015 Binary Information Press.

关键词： Routing protocols

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Algorithm Research of Magnetometer Assisted Inertial Navigation System for Mobile Robots 2

Algorithm Research of Magnetometer Assisted Inertial Navigat...

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2nd Annual IEEE International Conference on Micro/Nano Sensors for Al, Healthcare, and Robotics, NSENS 2019

作者： Rong, Yingjiao Ko, Yentze Wang, Xinan Shi, Guangyi Science and Technology on Near-Surface Detection Laboratory Wuxi China Peking University Shenzhen Graduate School Shenzhen China

ISBN: (纸本)9781728166513

Mobile robots have broad application prospects in military, industrial, agricultural, commercial, transportation, and logistics fields. The core problem of mobile robot lies in the autonomous navigation ability of mobile robot. Inertial navigation system based on MEMS sensor is one of the research hotspots in the field of inertial navigation in recent years and one of the main research directions in the future. Aiming at the positioning of the mobile robot, this paper adopts the magnetometer assisted inertial navigation system, the navigation system consisting of a three-axis accelerometer, a three-axis gyroscope and a three-axis magnetometer. The heading is calculated with three sensors, the velocity error is compensated, and calculate the position. In this paper, an Extended Kalman Filter for mobile robot navigation system is proposed to improve the position accuracy of the navigation system. Experiments are carried out to verify and analyze the filter with the experimental results. © 2019 IEEE.

关键词： Inertial navigation systems

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A Hyperspectral Nonlinear Unmixing Network for nearshore Underwater Target detection 5

A Hyperspectral Nonlinear Unmixing Network for Nearshore Und...

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5th International Seminar on Artificial Intelligence, Networking and Information technology, AINIT 2024

作者： Liu, Jiaxuan Qi, Jiahao Zhong, Ping Jiang, Junhe National University of Defense Technology Key Laboratory of Science and Technology On Automatic Target Recognition Changsha China Science and Technology On Near-Surface Detection Laboratory Wuxi China

ISBN: (纸本)9798350385557

The existing hyperspectral underwater target detection algorithms are ineffective in adapting to nearshore environments, owing to the difficulty of extracting target signals from cluttered nearshore backgrounds combined with weak target signals. To this end, hyperspectral unmixing (HU) is well suited in this paper for nearshore underwater target detection (UTD) task to address these issues, by extracting background endmembers and separating out weak target signals simultaneously. Specifically, we propose a novel nonlinear unmixing network for nearshore underwater target detection (NUN-UTD). It comprises an unsymmetrical autoencoder and a target prior preservation module to adapt to the complex nearshore environment. Experiments demonstrate that NUN-UTD achieves the best detection performances and visual results compared with other state-of-the-art methods. © 2024 IEEE.

关键词： Learning systems

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Research on Dynamic Attitude Estimation and Control of Tricycle Based on MEMS Sensing 2

Research on Dynamic Attitude Estimation and Control of Tricy...

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2nd Annual IEEE International Conference on Micro/Nano Sensors for Al, Healthcare, and Robotics, NSENS 2019

作者： Rong, Yingjiao Ding, Weixuan Wang, Xinan Shi, Guangyi Science and Technology on Near-Surface Detection Laboratory Wuxi China Peking University Shenzhen Graduate School Shenzhen China

ISBN: (纸本)9781728166513

Today's science and technology develop rapidly with the passage of time. In the highly competitive environment, everyone's time is twenty-four hours a day. No one can have more than one minute. Or less have a minute to go, so if you want to improve your competitiveness, efficient scheduling time is very important, people's daily needs for efficiency are also growing. In the process of moving these vehicles, how to move the same distance with others in less time, this demand and efficiency can also be seen from the tools we now use to produce vehicles (such as tricycles).In the high-precision control system design of the self-balancing vehicle of the tricycle vehicle, in addition to the high-precision inclination sensor to measure the dynamic inclination angle, the steering control has an absolute value encoder to learn the angle of the steering of the tricycle body. More importantly, in addition to the rear axle drive system on the wheel of the tricycle body itself, we also installed a stepper motor to control the balance of the tricycle body, so that the tricycle body can be at a higher speed. Under the steady steering, the tricycle body will not roll *** attitude measurement is a very important aspect in the design of high-precision control systems for self-balancing vehicles of tricycle vehicles. Because the motor is an open-loop system, we need to use the tilt sensor for attitude measurement to obtain high-precision angle values, and the obtained angle value and the motor form a closed-loop control system to achieve more precise motor control to control the tricycle body. balance. So we need to measure the angle change very accurately, because a single axial attitude tilt sensor can't meet our requirements, and because there are too many shortcomings, we can't get more accurate values in a dynamic environment, so we use A six-axis sensor that helps us get better precision and precision. Finally, we use the VEKF-based algorithm to eliminate the numerical

关键词： Automobile steering equipment

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Research on Propagation Characteristics of Seismic Signal for Moving Armoured Targets 9

Research on Propagation Characteristics of Seismic Signal fo...

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9th International Conference on Environmental and Engineering Geophysics, ICEEG 2020

作者： Ding, Kai Zheng, Shoujun Li, Xinghua Rong, Yingjiao Science and Technology on Near-Surface Detection Laboratory Wuxi214035 China Army Engineering University of PLA Nanjing210007 China

This paper is focused on the Seismic Signal characteristics of wheel and track vehicles. The effect of vehicle speed of these two vehicles on the Seismic Signal was studied through experimental and theorical methods. The Seismic Signal s of these two vehicles with two different speeds were tested firstly. Then the measured signals were analyzed by means of the power spectrum method and the wavelet transform method, respectively. and the time- and frequency domain features of the signals were obtained subsequently. Finally, the influence of the speed and type of vehicle on the time- and frequency domain features of the signal and its propagation characteristic were investigated. The results show that, with the propagation of vehicle speed and distance, there is a similar varying law of the Seismic Signal for different vehicles. However, the difference of the time- and frequency domain feature between the two vehicles are striking. © Published under licence by IOP Publishing Ltd.

关键词： Wavelet transforms

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The posterior selection method for hyperparameters in regularized least squares method

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Control Theory and technology 2024年第2期22卷 184-194页

作者： Yanxin Zhang Jing Chen Yawen Mao Quanmin Zhu School of Science Jiangnan UniversityWuxi214122JiangsuChina The Science and Technology on Near-Surface Detection Laboratory Wuxi214122JiangsuChina Department of Engineering Design and Mathematics University of the West of EnglandBristolBS161QYUK

The selection of hyperparameters in regularized least squares plays an important role in large-scale system identification. The traditional methods for selecting hyperparameters are based on experience or marginal likelihood maximization method, which are inaccurate or computationally expensive. In this paper, two posterior methods are proposed to select hyperparameters based on different prior knowledge (constraints), which can obtain the optimal hyperparameters using the optimization theory. Moreover, we also give the theoretical optimal constraints, and verify its effectiveness. Numerical simulation shows that the hyperparameters and parameter vector estimate obtained by the proposed methods are the optimal ones.

关键词： Regularization method Hyperparameter System identification Least squares algorithm

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Location of Buried Target with Method of Auxiliary Sources 4

Location of Buried Target with Method of Auxiliary Sources

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4th IEEE Advanced Information technology, Electronic and Automation Control Conference, IAEAC 2019

作者： Liang, Shan Zhang, Shuang Chen, Shudong Liu, Zhaohe Jilin University College of Electronic Science and Engineering Changchun130012 China Science and Technology on Near-Surface Detection Laboratory Wuxi214035 China

ISBN: (纸本)9781728119076

It is a key problem to locate a buried target in UXO detection. The inversion algorithm based on the principle of least squares requires a large number of forward calculations to estimate the position of a target. The method of auxiliary sources (MAS) which can directly locate a UXO-like target is presented here without forward calculation. With a brief description of single dipole model for a UXO-like target, the basis of target location with magnetic field and scalar magnetic potential is deduced theoretically. Auxiliary sources made of elementary magnetic dipoles on a plane are applied to estimate the equivalent scalar magnetic potential from the measured magnetic field. Firstly, the moment of elementary magnetic dipoles is estimated by matching the measured magnetic field with the auxiliary sources modeled field. Then, the equivalent scalar magnetic potential is calculated with these elementary magnetic dipoles without a priori knowledge of the target's location. Finally, the position is calculated directly with the measured magnetic field and the equivalent scalar magnetic potential. The responses of four UXOs excited by a z-component square transmitting coil are recorded by a 9×9 3-component receiving coil array. With the auxiliary sources on a plane under the measurement grid, the equivalent scalar magnetic potential is calculated precisely. Experimental results show that the measured magnetic field matches well with the auxiliary sources modeled field, and the estimated positions of all targets are highly consistent with the measured ones. The horizontal error is within 2 cm, and the depth error is within 6 cm. © 2019 IEEE.

关键词： Magnetic fields

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A Rail Obstacle Target detection technology Based on the Perspective of Unmanned Aerial Vehicle 3rd

A Rail Obstacle Target Detection Technology Based on the Per...

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3rd International Conference on Advanced Intelligent Technologies, ICAIT 2022

作者： Du, Xing Yue Xu, Yue Lin Song, Guang Zhao Wang, Jian Jun CSSC Ocean Exploration Technology Institute Co. Ltd Wuxi China Science and Technology On Near-Surface Detection Laboratory Wuxi China

ISBN: (纸本)9789819952021

Based on the target detection results of the rail obstacles from the perspective of the UAV, it can assist in obstacle breaking and landing operations. At present, the rail obstacle target technology from the perspective of UAV has difficulties such as small target areas and dense targets. This paper adopts the YOLO5 base model structure, and then adopts transfer learning, transformer self-attention mechanism, CBAM attention module, and multi-scale hole convolution to optimize the model structure. The final model can be run on small devices such as drones with good accuracy results. The experimental results show that the final index AP@0.5 is 0.89, AP@0.5:0.95 is 0.68, which verifies the effectiveness of the proposed technology. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Unmanned aerial vehicles (UAV)

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