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International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Ma, Xiaofei Huang, Hailian Xing, Jingyi Ma, Ke Suo, Mingliang Beijing Institute of Control and Electronic Technology Beijing100038 China Institute of Reliability Engineering Beihang University Beijing100191 China National Key Laboratory of Science and Technology on Reliability and Environmental Engineering Beijing100191 China School of Reliability and Systems Engineering Beihang University Beijing100191 China

ISBN: (纸本)9789811966125

Inertial measurement unit (IMU) is a key equipment of missile weapon control system for precision strike. Therefore, to maximize the operational efficiency of missile weapon system, it is necessary to optimally select the IMU. In order to evaluate the performance of the IMU more accurately, a combined index system is proposed in this paper, based on the current calibration information and long-term storage test information of the IMU equipment, the optimal selection of the IMU equipment is realized by taking the minimization of accuracy error and long-term stability as the index. Therein, a correlation coefficient considering multi-dimensional spatial relationship is used to measure the calibration accuracy index, and the mixed stability factor is used to measure the long-term stability. Finally, the effectiveness of the proposed method is verified by some experiments. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Missiles

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Modeling and analysis of an underwater biomimetic vehicle-manipulator system

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science China(Information sciences) 2022年第3期65卷 255-257页

作者： Xuejian BAI Yu WANG Shuo WANG Rui WANG Min TAN Wei WANG School of Artificial Intelligence University of Chinese Academy of Sciences State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences CAS Center for Excellence in Brain Science and Intelligence Technology School of Control Science and Engineering Shandong University

In recent years, underwater vehicle-manipulator systems(UVMSs) have captured researchers' attention. Inspired by fish, bionic mechanisms were introduced into a *** underwater biomimetic vehicle-manipulator system(UBVMS) is actuated by two symmetrically arranged biomimetic undulatory fin propulsors [1]. Based on the UBVMS, some topics have been researched, such as freefloating autonomous operation [2, 3], three-dimensional helical path following [4], and underwater video processing [5].

关键词： underwater biomimetic vehicle underwater robots underwater vehicle-manipulator system biomimetic robots hydrodynamic modeling

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Study on the Applicability Considering on the Relationship between Shape and Flexibility of the Adsorption Gripper Tip 7

Study on the Applicability Considering on the Relationship b...

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7th International Conference on control and Robotics engineering, ICCRE 2022

作者： Ofuchi, Akira Fujiwara, Daisuke Iizuka, Kojiro Shibaura Institute of Technology Graduate School of Systems Engineering and Science Saitama Japan Suwa University of Science Faculty of Engineering Department of Mechanical & Electrical Engineering Chino Japan Shibaura Institute of Technology Department of Machinery and Control System Saitama Japan

ISBN: (纸本)9781665468404

This study considers automatic scallop harvesting using the drone with the robot arm as the new scallop fishery. The fishery needs the dedicated gripper attaching the robot arm. This study judges the adsorption gripper as the dedicated gripper. The adsorption gripper must push itself to the object during gripping motion. If the pushing force is too large, there are some problems with the grasping. This study focuses on the flexibility of the gripper tip contacting object to solve those problems. Then, we investigate the applicability considering on the relationship between shape and flexibility of the adsorption gripper tip from the experiment. From these considerations, the dedicated gripper has been developed. © 2022 IEEE.

关键词： Adsorption

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Decoupling While Coupling: Towards More Accurate Stereo Image Sand Removal Beyond Certainty

Decoupling While Coupling: Towards More Accurate Stereo Imag...

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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Wei, Bingcai Liu, Hui Qian, Chuang Jia, Yi Wu, Wangyu Li, Zhishan School of Computer Science Wuhan University Wuhan China GNSS Research Center Wuhan Unicersity Wuhan China Intelligent Transport Systems Research Center Wuhan University of Technology Wuhan China College of Information and Control Engineering Jilin Institute of Chemical Technology Jilin China University of Liverpool Liverpool United Kingdom School of Computer Science and Engineering South China University of Technology Guangzhou China

ISBN: (纸本)9798350368741

Stereo image sand removal is crucial to improve the perceptual quality for autonomous driving perception. Existing methods often fall short in accurately estimating the uncertainty inherent in degraded images, leading to suboptimal outcomes. To address this, we introduce a novel framework named Decoupling While Coupling(DWC). DWC pioneers the integration of inter-view uncertainty estimation, cross-view uncertainty-aware interaction and block-wise uncertainty representation for superior stereo image sand removal. For cross-view information interaction, we propose an Uncertainty-aware Cross-view Attentive Interaction module(UCAI) to cope with the lack of uncertainty estimation ability in the existing cross-view information interaction mechanism. For the uncertainty perception and information interaction within the inter-view, we propose a Distribution Modeling Coupling Block(DMCB), which transmits the representation of uncertainty between each backbone module. For block-wise uncertainty estimation, we use our proposed Uncertainty-aware Distribution Feature Modulator(UDFM) as the backbone of DWC to modulate the uncertainty inside the neural network itself. Extensive experimental validations on our proposed stereo image sand removal dataset SandST confirm the efficacy of DWC. Our method not only achieves higher PSNR and SSIM, but also exhibits enhanced robustness against various sand degrees and patterns. © 2025 IEEE.

关键词： Cross-view Inter-view Sand removal Stereo image Uncertainty estimation

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Weighted syncmer sampling improves long-read mapping

Weighted syncmer sampling improves long-read mapping

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Wei Quan Jinjun Kang Yanfei Deng Zhuang Liu Xiao Zhu Guangri Quan School of Computer and Control Engineering Yantai University Yantai China School of Information and Network Security Xinjiang University of Political Science and Law Tumxuk China

ISBN: (数字)9798350386226

ISBN: (纸本)9798350386233

Syncmers represent a novel class of methods for selecting k-mers that exhibit robustness against mutations in flanking sequences and demonstrate superior conservation in mutated sequences. Nevertheless, syncmers may generate a higher frequency of repetitive seed matches compared to alternative techniques, such as minimizers, which can result in increased computational time. In this article, we introduce weighted minimizer sampling, which integrates weighted minimizer sampling and syncmer sampling to enhance the sensitivity and accuracy of long-read mapping. We modified two state-of-the-art long-read mappers, Minimap2 and Winnowmap, by substituting the sketching sampling methods with weighted minimizer sampling. We assessed their sensitivity and accuracy using simulated and real datasets. The experimental results indicate that weighted minimizer sampling significantly improves the sensitivity and accuracy of long-read mapping. The source code is available at GitHub: https://***/hexinkaoan/weighted-syncmer.

关键词： Hash functions Time-frequency analysis Sequential analysis Sensitivity Accuracy Source coding Sampling methods Robustness Bioinformatics Software development management

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A Node Confidence Determination Based Moving Target Defense Strategy for SDN 15

A Node Confidence Determination Based Moving Target Defense ...

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15th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2023

作者： Sun, Shimin Xu, Guowei Han, Li Tianjin Key Laboratory of Autonomous Intelligent Technology and System School of Software Tiangong Tianjin China Tianjin Univ. of Technol. Natl. Eng. Laboratory for Computer Virus Prevention and Control Technology School of Computer Science and Engineering Tianjin China

ISBN: (纸本)9798350308693

With the rapid development of Internet technology, network assets have become an indispensable part of modern society. Especially in the face of high-value network assets, the attacker is faced with paying a greater cost to study the network structure. Due to the unknown attacker and attack means, the attacker has an advantage in the attack and defense situation. The moving target defense technique can flexibly change the static characteristics of the network attack surface and increase the difficulty for the attacker to detect the network, thus achieving the purpose of enhancing network security. Based on this technique, this paper proposes a defense strategy based on node confidence. It puts forward stricter constraints on the differential selection of address/port hopping paths, dynamically selects the hopping objects according to the node's confidence, and implements the defense strategy of differential complexity. This further increases the network's uncertainty and the difficulty for the attacker to detect the network structure. The experimental results show that in the path differentiation comparison, the maximum improvement is about 18% compared to the Dynamic Random Route Hopping strategy. In the CPU load experiment, the CPU load rate is reduced by about 4.625% on average compared to the Double Address Hopping strategy. Moreover, for larger hopping period, the proposed strategy also performs well in terms of CPU load rate. The proposed strategy also exhibits good performance in terms of CPU load ratio for large hopping cycles. © 2023 IEEE.

关键词： Network security

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Photo-Induced Plzt-Based Electrostatic Actuators Towards Micro Gap Regulator and Micro Gripper

SSRN

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SSRN 2023年

作者： Lv, Zhen Liu, Zhicheng Tang, Yujuan Wang, Xinjie School of Mechanical Engineering Nanjing University of Science and Technology 210094 China School of Intelligent Science and Control Engineering Jinling Institute of Technology Nanjing211169 China

Photo-induced actuators enable potential applications involving soft robots, biomedical engineering, and microelectromechanical system due to the contactless energy supply and high spatial and temporal controllability of light. However, obtaining a fast and reliable photo-induced actuation remains a great challenge. Herein, we report a strategy to realize rapid photo-induced actuation by utilizing a composite actuation mechanism, which combines photoelectric effect and electrostatic actuation mechanism. Photo-induced PLZT-based electrostatic actuators (PPEAs) are then proposed towards micro gap regulator (MGR) and micro gripper. Within the electrostatic pull-in point, we demonstrate that the gap of the PPEA regarded as an MGR can be tunable upon light irradiation through simulations. Besides, the pull-in instability enables the PPEA with rapid clamping action to be a micro gripper. Micro grippers with sandwich-like multilayer arms are fabricated using a simplified photolithography process and the fundamental operation and performance of our gripper are demonstrated through a series of experiments. More importantly, the two developed components are driven rapidly and reliably by light, providing great potential to facilitate the current research in photo-induced actuation. © 2023, The Authors. All rights reserved.

关键词： Electrostatic actuators

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Frequency Domain Separation of DAS Multi-Source Aliased Signals

Frequency Domain Separation of DAS Multi-Source Aliased Sign...

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2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023

作者： Gu, Huaxin Liu, Shuaiqi Yu, Feihong Xu, Deyu Chen, Xingwei Shao, Liyang Wu, Yu Zhang, Haifeng College of Innovation and Entrepreneurship Southern University of Science and Technology Shenzhen China Southern University of Science and Technology Department of Electrical and Electronic Engineering Shenzhen China School of Information and Communication Engineering University of Electronic Science and Technology Chengdu China Research Institute of Tsinghua University Advanced Measurement and Control and Equipment R&d Center Chengdu China

ISBN: (纸本)9798350312614

In this paper, fast independent vector analysis (FastIVA) based on convolutional aliasing model is proposed to separate the aliased signals collected by distributed acoustic sensing (DAS) system, and the time-frequency entropy is used to judge the separation performance. The results show that the time-frequency entropy interval of the separated signals and the source signals correspond to each other, which means that the aliased signals are separated. This method is used to improve the accuracy of DAS system signal detection and recognition in complex real environment, and reduce the number of false alarm events. © 2023 IEEE.

关键词： convolutional aliasing model DAS FastIVA time-frequency entropy

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Research Advancements in Artificial Intelligence for Space Situational Awareness

Research Advancements in Artificial Intelligence for Space S...

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International Conference on Information science and Technology (ICIST)

作者： Pengrong Hou Zhelong Wang Yu Jiang Jun Zhu Qinghao Chu Jiaxi Li School of Control Science and Engineering Dalian University of Technology Dalian China Xi'an Satellite Control Center State Key Laboratory of Astronautic Dynamics Xi'an China

The increasing of satellite launch missions, collisions and disintegration events of space objects, and the vast number of near-Earth asteroids pose significant challenges to space traffic management. Space situational awareness aims to detect, track, classify, and characterize space objects, as well as assess space events, playing a crucial role in space traffic management. The application of artificial intelligence in space situational awareness has unique advantages, especially in enhancing comprehensive abilities such as knowledge, analysis, and decision-making. Its outstanding abilities in transfer learning and lifelong learning can rapidly address complex and dynamic space detection problems. This paper reviews and analyzes the research progress of AI in space situational awareness in the past five years, focusing on data collection, situational awareness, and decision-making. While discussing the advantages and limitations of technical applications, it addresses the feasibility of applying emerging technologies such as distributed machine learning, knowledge graphs, and multi-agent game theory to future space situational awareness research, considering the characteristics of space data and new requirements. This paper points out the effectiveness and necessity of artificial intelligence in space situational awareness, which can provide reference for strengthening space environmental understanding and promoting relevant research in space traffic management.

关键词：

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Non-line-of-Sight Recognition Algorithm Based on Deep Learning

Non-line-of-Sight Recognition Algorithm Based on Deep Learni...

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International Conference on Internet of Things, Communication and Intelligent Technology, IoTCIT 2022

作者： Zhang, Chengjun Wang, Hongmei Wang, Zhiwei Wang, Faguang Min, Minghui Li, Shiyin School of Information and Control Engineering China University of Mining and Technology Jiangsu Xuzhou221116 China Xuzhou First People’s Hospital Xuzhou221116 China Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education and School of Cyber Science and Engineering Wuhan University Wuhan430072 China

ISBN: (纸本)9789819904150

With the development of the information age, large indoor places such as hospitals, mines and factories have higher and higher requirements for indoor positioning. GPS and other common outdoor positioning methods cannot meet the requirements of accurate indoor navigation. Ultra-wideband is widely used in indoor places because of its strong anti-interference and high accuracy. Accurate identification of errors in UWB indoor non-visual range helps to improve the data for positioning. Therefore, this study combined with convolutional neural network to solve the problem of low recognition rate of non-line-of-sight signals in indoor scenes, and proposed an improved convolutional neural network based on empirical mode decomposition (EMD), wavelet domain denoising (WD) and improved CNN) fusion model EMD-WD-CNN. First, the channel impulse response signal of UWB is denoised based on the EMD-WD algorithm, and then the denoised signal is used as the input of the CNN model for training. The comparison based on similar algorithms shows that the improved CNN model can significantly improve the line-of-sight and NLOS recognition rate of different media in indoor environment. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Empirical mode decomposition

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