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The mass distribution of behind-armor debris generated during the normal penetration of an explosively formed projectile on rolled homogeneous armor steel 4

The mass distribution of behind-armor debris generated durin...

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4th International Conference on Defence Technology, ICDT 2024

作者： Wei, Guoxu Guo, Rui Li, Xiangdong Zhang, Dongjiang Xu, Hongwei School of Mechanical Engineering Nanjing University of Science and Technology Nanjing210094 China National Key Laboratory of Land and Air Based Information Perception and Control Xi'an Modern Control Technology Research Institute Xi'an710065 China

To obtain the mass distribution law of behind-armor debris(BAD) produced by EFP vertically penetrating armored steel, the numerical simulation calculation of EFP vertically penetrating targets with different thicknesses (30mm~70mm) at different impact velocities (1600m/s~2000m/s) was carried out by using the numerical simulation method verified by experiments. Several classical natural fragment mass distribution models are used to study the mass distribution of the BAD generated by EFP and the target plate. The results show that the classical Mott formula is not suitable for describing the mass-quantity distribution of the BAD generated by warhead penetration, while the two-parameter Weibull distribution is a good fit for the mass distribution of the BAD, but both of them depend on the total number of fragments, and it is impossible to ensure that small debris is completely collected in the test. Therefore, it is often impossible to determine the total number of debris. In contrast, the Held distribution does not depend on the total number of debris, and the correlation coefficient of fitting results for the mass distribution of BAD is closest to 1, indicating that the Held distribution is the most suitable for describing the mass distribution of BAD. According to the variation of the characteristic parameter of Held distribution with the thickness of the target plate and EFP impact velocity, the mathematical expression between the characteristic parameter of Held formula and the dimensionless initial condition is established. Based on the Held distribution, a prediction model of the mass distribution of the BAD is established, which takes into account the impact velocity of EFP and the thickness of the target plate. The model estimation is in good agreement with the simulation results, which proves the accuracy of the established model. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Armor

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Secure control and filtering for industrial metaverse

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Frontiers of Information Technology & Electronic engineering 2024年第2期25卷 179-181页

作者： Qing-Long HAN Derui DING Xiaohua GE School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourneVIC 3122Australia Department of Control Science and Engineering University of Shanghai for Science and TechnologyShanghai 200093China

Metaverse can be regarded as a socialized and virtualized cyberspace parallel yet interactive to the real *** from the rapid development of cloud computing and digital twins,metaverse is transforming traditional control and filtering para‐digms of industrial automation systems into cyberphysical social *** this scenario,future industrial automation systems could be an integration of real-world ones and virtual twins combined with great computational power within a certain temporal and spatial range.

关键词： interactive filtering Secure

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Distributed Cooperative Learning for Discrete-Time Strict-Feedback Multi Agent Systems Over Directed Graphs

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IEEE/CAA Journal of Automatica Sinica 2022年第10期9卷 1831-1844页

作者： Min Wang Haotian Shi Cong Wang IEEE the School of Automation Science and Engineering South China University of TechnologyGuangzhou 510641 Peng Cheng Laboratory Shenzhen 518055China the School of Control Science and Engineering Shandong UniversityJinan 250061China the Center for Intelligent Medical Engineering Shandong UniversityJinan 250061China

This paper focuses on the distributed cooperative learning(DCL)problem for a class of discrete-time strict-feedback multi-agent systems under directed *** with the previous DCL works based on undirected graphs,two main challenges lie in that the Laplacian matrix of directed graphs is nonsymmetric,and the derived weight error systems exist n-step *** novel lemmas are developed in this paper to show the exponential convergence for two kinds of linear time-varying(LTV)systems with different phenomena including the nonsymmetric Laplacian matrix and time ***,an adaptive neural network(NN)control scheme is proposed by establishing a directed communication graph along with n-step delays weight updating ***,by using two novel lemmas on the extended exponential convergence of LTV systems,estimated NN weights of all agents are verified to exponentially converge to small neighbourhoods of their common optimal values if directed communication graphs are strongly connected and *** stored NN weights are reused to structure learning controllers for the improved control performance of similar control tasks by the“mod”function and proper time series.A simulation comparison is shown to demonstrate the validity of the proposed DCL method.

关键词： Cooperative learning control directed graphs discrete-time nonlinear system neural networks(NNs) strict-feedback systems

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Distributed Adaptive Formation control of Connected Vehicles with Actuator Saturation and Time-Varying Spacing 13

Distributed Adaptive Formation Control of Connected Vehicles...

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13th IEEE Data Driven control and Learning Systems Conference, DDCLS 2024

作者： Ji, Honghai La, Xiaoyan Fan, Lingling Wang, Li Liu, Shida Ren, Ye School of Electronics & Control Engineering North China University of Technology Beijing100144 China School of Automation Beijing Information Science and Technology University Beijing100096 China

ISBN: (纸本)9798350361674

This study investigates the problem of distributed adaptive formation control of connected vehicles with actuator saturation and time-varying spacing. Firstly, optimization performance metrics are defined based on the requirements of vehicle formation control to ensure communication coordination among the following vehicles while enabling them to track the leader vehicle's trajectory. Secondly, time-varying spacing is introduced to meet the formation requirements in different scenarios. Furthermore, actuator saturation are imposed to ensure passenger comfort during the ride. Finally, the effectiveness of the proposed algorithm is validated through three numerical simulation cases. © 2024 IEEE.

关键词： Adaptive control systems

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Image Recognition of Chinese Herbal Medicine Using Adaptive Gamma Correction Based on Convolutional Neural Network 13

Image Recognition of Chinese Herbal Medicine Using Adaptive ...

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13th IEEE Data Driven control and Learning Systems Conference, DDCLS 2024

作者： Ji, Honghai Liu, Xinjing Wang, Li Fan, Lingling Liu, Shida School of Electronics & Control Engineering North China University of Technology Beijing100144 China School of Automation Beijing Information Science and Technology University Beijing100096 China

ISBN: (纸本)9798350361674

Chinese herbal medicine (CHM) has gained significant attention due to its potential in treating various diseases. CHM image classification is crucial in fields such as smart medical care and medical teaching. However, accurately classifying CHM images has been a challenging task due to their fine-grained variability. To achieve automatic identification and classification of Chinese herbal medicines, we designed a method that combines image processing and deep learning. We established a dataset of CHM images, which includes 10 kinds of common Chinese herbal medicines, with 15,719 images in total. The dataset covers medicinal materials in various natural backgrounds and provides ample samples for training deep learning models. Regarding image processing, we proposed a method based on adaptive gamma correction(AGC) and compared it with CLAHE(Contrast Limited Adaptive Histogram Equalization)and traditional gamma correction(TGC) methods. Subsequently, we employed three pre-training models of convolutional neural networks based on transfer learning, namely GoogLeNet, ResNet-18, and MobileNetV2, to identify CHM images. The results of the verification indicate that the AGC-CNN model outperforms the CLAHE-CNN and TGC-CNN models in terms of classification accuracy and image quality improvement. © 2024 IEEE.

关键词： Contrastive Learning

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The impact of vacancy defective MgH_(2)(001)/(110)surface on the dehydrogenation of MgH_(2)@Ni-CNTs:A mechanistic investigation

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Journal of Materials science & Technology 2024年第22期189卷 77-85页

作者： Congwen Duan Xinya Wang Haimei Wang Mengmeng Wu Yuchen Fan Jinhui Wu Ting Qu Bogu Liu Lianxi Hu Poqian Liang Fei Wang Ying Wu Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control Department of Environmental Science and EngineeringNorth China Electric Power UniversityBaoding 071003China Institute of Energy Power Innovation North China Electric Power UniversityNo.2 Beinong RoadChangping DistrictBeijing 102206China School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150001China College of Materials Science and Engineering Sichuan UniversityChengdu 610065China

The vacancy defect exhibits a remarkable improvement in the dehydriding property of MgH_(2)@***,the corresponding mechanism is still not fully ***,the impact of vacancy defects on the dehydrogenation properties of MgH_(2)@Ni-CNTs was studied by DFT simulation,and the corresponding models were constructed based on *** dehydrogenation process of MgH_(2)can be regarded as the dissociation of Mg-H and desorption of H_(2)from the MgH_(2)*** view of the whole dehydrogenation,the dissociation of H^(−)is the rate-determining step,which is the main reason for restricting the dehydrogenation *** with vacancy vacancy-defective MgH_(2)(001)surface,the appearance of vacancy defects on the(110)surface substantially reduces the energy barrier required for H dissociation to 0.070 *** reason is that vacancy defects accelerate the transition of electrons from the H^(−)s orbit to the Mg^(2+)3s orbit,resulting in a decrement of the Mg-H bond strength,which makes H atoms more easily dissociated from the MgH_(2)(110)***,the existence of vacancy defects improves the dehydriding kinetic of MgH_(2).Most importantly,this research offers crucial directions for developing hydrogen storage materials as well as a potential fix for the slow dehydrogenation kinetics of nano-confined MgH_(2).

关键词： MgH_(2) Vacancy defect Hydrogen storage Hydrogen dissociation and desorption

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Two-Dimensional Gap Solitons in Parity-Time Symmetry Moiré Optical Lattices with Rydberg–Rydberg Interaction

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Chinese Physics Letters 2023年第4期40卷 28-33页

作者：黎斌斌赵元徐四六周勤傅其栋叶芳伟花春波陈懋薇胡恒洁周倩倩邱章才 School of Biomedical Engineering and Medical Imaging Xianning Medical CollegeHubei University of Science and TechnologyXianning 437100China Laboratory of Optoelectronic Information and Intelligent Control Hubei University of Science and TechnologyXianning 437100China School of Electronic and Information Engineering Hubei University of Science and TechnologyXianning 437100China School of Mathematical and Physical Sciences Wuhan Textile UniversityWuhan 430200China School of Physics and Astronomy Shanghai Jiao Tong UniversityShanghai 200240China

Realizing single light solitons that are stable in high dimensions is a long-standing goal in research of nonlinear optical ***,we address a scheme to generate stable two-dimensional solitons in a cold Rydberg atomic system with a parity-time(PT) symmetric moiré optical *** uncover the formation,properties,and their dynamics of fundamental and two-pole gap solitons as well as vortical *** PT symmetry,lattice strength,and the degrees of local and nonlocal nonlinearity are tunable and can be used to control *** stability regions of these solitons are evaluated in two numerical ways:linear-stability analysis and time evolutions with *** results provide an insightful understanding of solitons physics in combined versatile platforms of PT-symmetric systems and Rydberg–Rydberg interaction in cold gases.

关键词： Rydberg solitons symmetric

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Pager Explosion:Cybersecurity Insights and Afterthoughts

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IEEE/CAA Journal of Automatica Sinica 2024年第12期11卷 2359-2362页

作者： Chuan Sheng Wanlun Ma Qing-Long Han Wei Zhou Xiaogang Zhu Sheng Wen Yang Xiang Fei-Yue Wang Swinburne University of Technology Hawthorn VIC 3122Australia IEEE the School of Computer and Mathematical Sciences the University of AdelaideAdelaideSouth Australia 5005Australia the State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 the Department of Engineering Science Faculty of Innovation EngineeringMacao University of Science and TechnologyMacao 999078China

PAGER EXPLOSION:THE *** 2024 Lebanon pager explosions represent one of the most unexpected and devastating technological incidents in recent *** September 17 and 18,2024,thousands of pagers and walkie-talkies exploded simultaneously across Lebanon and parts of Syria,resulting in 42 deaths and more than 3500 *** handheld communication devices,previously regarded as secure and low-profile,were rigged with concealed explosives and remotely triggered by attackers.

关键词： injuries thoughts explosion

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A License Plate Recognition Method Based on YOLOv8-Pose and E-LPRNet 13

A License Plate Recognition Method Based on YOLOv8-Pose and ...

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13th IEEE Data Driven control and Learning Systems Conference, DDCLS 2024

作者： Ji, Honghai Shi, Qirui Fan, Lingling Wang, Li Xiong, Shuangshuang School of Electronics & Control Engineering North China University of Technology Beijing100144 China School of Automation Beijing Information Science and Technology University Beijing100096 China

ISBN: (纸本)9798350361674

This paper proposes a license plate recognition method based on YOLOv8-Pose and E-LPRNet for complex scenarios such as urban roadside and road inspection. E-LPRNet is a character recognition network formed by modifying the activation function of the backbone network in LPRNet (License Plate Recognition Network). This method also includes a license plate correction feature, which accurately recognizes license plate characters even when the plates are at large angles, thereby increasing the recognition accuracy. A series of experiments using a large license plate dataset verified the effectiveness of this method. © 2024 IEEE.

关键词： Character recognition

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TRGR: Transmissive RIS-aided Gait Recognition Through Walls

TRGR: Transmissive RIS-aided Gait Recognition Through Walls

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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Huang, Yunlong Liu, Junshuo Zhang, Jianan Mi, Tiebin Shi, Xin Qiu, Robert Caiming Huazhong University of Science and Technology School of Electronic Information and Communications Wuhan China North China Electric Power University School of Control and Computer Engineering Beijing China

ISBN: (纸本)9798350351255

Gait recognition with radio frequency (RF) signals enables many potential applications requiring accurate identification. However, current systems require individuals to be within a line-of-sight (LOS) environment and struggle with low signal-to-noise ratio (SNR) when signals traverse concrete and thick walls. To address these challenges, we present TRGR, a novel transmissive reconfigurable intelligent surface (RIS)-aided gait recognition system. TRGR can recognize human identities through walls using only the magnitude measurements of channel state information (CSI) from a pair of transceivers. Specifically, by leveraging transmissive RIS alongside a configuration alternating optimization algorithm, TRGR enhances wall penetration and signal quality, enabling accurate gait recognition. Furthermore, a residual convolution network (RCNN) is proposed as the backbone network to learn robust human information. Experimental results confirm the efficacy of transmissive RIS, highlighting the significant potential of transmissive RIS in enhancing RF-based gait recognition systems. Extensive experiment results show that TRGR achieves an average accuracy of 97.88% in identifying persons when signals traverse concrete walls, demonstrating the effectiveness and robustness of TRGR. © 2024 IEEE.

关键词： Channel state information

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