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2024 International Conference on Automation Control, Algorithm, and Intelligent Bionics, ACAIB 2024

作者： Hu, Jinhua Chai, Jing Sun, Xianran School of information Science and Engineering Yunnan University Kunming650504 China Yunnan Key Laboratory of Intelligent Systems and Computing China

ISBN: (纸本)9781510682597

Partial Label Learning (PLL) represents a common multi-class weakly supervised learning challenge, where each instance is linked with a set of possible labels, only one of which is the ground-truth label, and it remains unknown during the training. A common strategy for solving this multi-class problems is to decompose it into a series of binary classification problems based on certain coding rules (e.g., OvO, ECOC), and then process each binary classification problem separately using the original features. To address the deficiency of discriminative information in the original features, a feature enhancement mechanism is proposed to introduce label-specific features to improve the discriminative performance of features. Firstly, label-specific features are generated for each decomposed binary classification problem, and then fused with the original features. The fused features are used to design corresponding binary classifiers. Additionally, due to the presence of a large number of false positive labels in the training examples, a semi-disambiguation strategy can be employed to remove some false positive labels, thereby "slimming down" the candidate label set as a preprocessing step to reduce its ambiguity. The proposed partial label learning algorithm based on features enhancement and semi-disambiguation proves its effectiveness on synthetic and real-world data sets through extensive experiments. © 2024 SPIE.

关键词： Contrastive Learning

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Study on the characteristics of precipitation particle size distribution during freezing weather in the southwest mountainous areas of China

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science China Earth sciences 2025年第5期68卷 1429-1447页

作者： Haopeng WU Shengjie NIU Seong Soo YUM Jingjing Lü Chunsong LU Yue ZHOU Jing SUN Yixiao HE Tianshu WANG Xinyi WANG School of Atmospheric Physics Nanjing University of Information Science and Technology Department of Atmospheric Science Yonsei University College of Safety Science and Engineering Nanjing Tech University Institute of Heavy Rain China Meteorological Administration Reading Academy Nanjing University of Information Science and Technology China Meteorological Administration Training Center Key Laboratory for Meteorological Disaster Monitoring and Early Warning and Risk Management of Characteristic Agriculture in Arid Regions China Meteorological Administration

This study utilized continuous observational data from a PARSIVEL2 disdrometer collected during winter from 2019 to 2021 in the southwest mountainous areas of China. Based on the diameter and terminal fall velocity of the precipitation particles, combined with the discrete Fréchet distance method, the precipitation particles were classified into five categories:freezing raindrops, freezing raindrops-graupel mixed(F-G Mixed), graupel, graupel-snow mixed(G-S Mixed), and snow. The characteristics of their particle size distributions(PSDs) were analyzed, and the results indicated that during freezing weather, the dominant precipitation type was G-S Mixed, accounting for 44.80% of total precipitation. The total number concentration(Nt),mass-weighted mean diameter(Dm), and spectrum dispersion(σ) of all precipitation particles exhibit a positive correlation with precipitation intensity(PI), while the normalized intercept parameter in logarithmic form(log10Nw) shows minimal correlation with PI. Particles with diameters smaller than 2 mm contributed significantly to Nt, with freezing raindrops, F-G Mixed, and graupel particles between 1 mm and 2 mm, and G-S Mixed and snow particles larger than 4 mm contributing the most to PI. The mean PSD width followed the order of snow > G-S Mixed> graupel > freezing raindrops > F-G Mixed. Furthermore, this study derives the shape(μ) and slope(Λ) parameters of the Gamma distribution for different precipitation types, as well as the relationships between radar reflectivity(Z) and PI, and between kinetic energy(KE) and PI. These findings are expected to enhance the accuracy of PSD retrieval and the quantitative estimation of winter precipitation in this area.

关键词： Freezing weather Precipitation particles Discrete Fréchet distance Microphysical characteristics Southwest mountainous areas

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Versatility of π-d Conjugated Coordination Nickel Metal-Organic Frameworks as Electrode Materials of Metal-Ion Batteries

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Energy Material Advances 2024年第1期5卷 120-132页

作者： Zaohong Zhang Kaihui Xu Jing Yang Zhuoyu Ji Yunchen Ge Zhicong Shi Yongwei Zhang Kai Zhang Chuan Wu Jia Hong Pan State Key Laboratory of Featured Metal Materials and Life-Cycle Safety for Composite Structures School of ResourcesEnvironments and MaterialsGuangxi UniversityNanning 530004China Low Carbon Energy Process Intensification Research Institute and MOE Key Laboratory of Resources and Environmental Systems Optimization North China Electric Power UniversityBeijing 102206China Institute of High Performance Computing Agency for ScienceTechnology and Research(A*STAR)Singapore 138632Singapore Guangxi Key Laboratory of Manufacturing Systems and Advanced Manufacturing Technology Guilin University of Electronic TechnologyGuilin 541004China School of Materials Science and Engineering Beijing Institute of TechnologyBeijing 100081China Beijing Key Laboratory of Environmental Science and Engineering School of Materials Science and EngineeringBeijing Institute of TechnologyBeijing 100081China Yangtze Delta Region Academy of Beijing Institute of Technology Jiaxing 314019China

Metal-organic frameworks have emerged as promising electrode materials for metal-ion batteries due to their superior structural ***,they face challenges such as poor reversibility and easy degradation during electrochemical redox ***,we report the synthesis ofπ-d conjugated coordination polymers through NH_(3)-vapor-assisted self-polymerization of NiCl_(2)·6H_(2)O with 1,2,4,5-benzenetetramine tetrahydrochloride(namely,Ni-BTA).The synthesized Ni-BTA exhibits an open lattice structure that enhances the capacity for metal-ion diffusion,ensuring prolonged electrochemical cycling ***,electrochemical characterizations reveal that Ni-BTA functions as a bifunctional material,serving as both cathode and anode materials for lithium-ion batteries(LIBs).After 1,000 cycles at 1.0 A g^(−1),the cathode and anode show high discharge capacities of 199.7 and 338.4 mAh g^(−1),***,symmetrical all-organic batteries constructed with Ni-BTA exhibit a high specific capacity of 30.6 mAh g-1 and an ultrastable coulombic efficiency of approximately≈100%after 6,000 cycles at 1.0 A g^(−1).Furthermore,Ni-BTA exhibits versatility as a robust cathode for aluminum ion batteries(AIBs),delivering a discharge capacity of 18.7 mAh g^(−1) after 10,000 cycles at 1.0 A g^(−1).These findings highlight the potential of Ni-BTA as a versatile and durable electrode materials for both LIBs and AIBs.

关键词： d conjugation electrochemical stability open lattice stru metal ion batteries electrochemical redox processesherewe lithium ion batteries coordination polymers electrode materials

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DDT-Net:Deep Detail Tracking Network for Image Tampering Detection

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Computers, Materials & Continua 2025年第5期83卷 3451-3469页

作者： Jim Wong Zhaoxiang Zang Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering China Three Gorges UniversityYichang443002China College of Computer and Information Technology ChinaThree Gorges UniversityYichang443002China Faculty of Information Engineering and Automation Kunming University of Science and TechnologyKunming650504China

In the field of image forensics,image tampering detection is a critical and challenging *** methods based on manually designed feature extraction typically focus on a specific type of tampering operation,which limits their effectiveness in complex scenarios involving multiple forms of *** deep learningbasedmethods offer the advantage of automatic feature learning,current approaches still require further improvements in terms of detection accuracy and computational *** address these challenges,this study applies the UNet 3+model to image tampering detection and proposes a hybrid framework,referred to as DDT-Net(Deep Detail Tracking Network),which integrates deep learning with traditional detection *** contrast to traditional additive methods,this approach innovatively applies amultiplicative fusion technique during downsampling,effectively combining the deep learning feature maps at each layer with those generated by the Bayar noise *** design enables noise residual features to guide the learning of semantic features more precisely and efficiently,thus facilitating comprehensive feature-level ***,by leveraging the complementary strengths of deep networks in capturing large-scale semantic manipulations and traditional algorithms’proficiency in detecting fine-grained local traces,the method significantly enhances the accuracy and robustness of tampered region *** with other approaches,the proposed method achieves an F1 score improvement exceeding 30% on the DEFACTO and DIS25k *** addition,it has been extensively validated on other datasets,including CASIA and *** results demonstrate that this method achieves outstanding performance across various types of image tampering detection tasks.

关键词： Image forensics image tampering detection image manipulation detection noise flow Bayar

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Two-dimensional ultrathin nanosheets over mackinawite FeS for efficient electrochemical N_(2) reduction

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International Journal of Minerals,Metallurgy and Materials 2025年第4期32卷 936-943页

作者： Jing Zhang Yingying Guo Haiyang Li Jing Guo Rui Zheng Shuai Niu Fang Wang School of Chemistry and Materials Science Key Laboratory of Magnetic Molecules and Magnetic Information Materials(Ministry of Education)Shanxi Normal UniversityTaiyuan 031000China College of Chemistry and Chemical Engineering Taiyuan University of TechnologyTaiyuan 030024China School of Physics and Information Engineering Shanxi Normal UniversityTaiyuan 031000China Chemistry and Environmental Science College Key Laboratory of Advanced Materials Chemistry and Devices of Higher Education Institutions in Inner Mongolia Autonomous RegionInner Mongolia Normal UniversityHohhot 010022China

Electrocatalytic N_(2)reduction reaction (NRR) has been considered as a promising and alternative strategy for the synthesis of NH_(3),which will contribute to the goal of carbon neutrality and ***,this process often suffers from the barrier for N_(2)activation and competitive reactions,resulting in poor NH_(3)yield and low Faraday efficiency (FE).Here,we report a two-dimensiona(2D) ultrathin FeS nanosheets with high conductivity through a facile and scalable method under mild *** synthesized FeS catalysts can be used as the work electrode in the electrochemical NRR cell with N_(2)-saturated Na_(2)SO_(4)*** a catalyst shows a NH_(3)yield of 9.0μg·h^(-1)·mg^(-1)(corresponding to 1.47×10^(-4)μmol·s^(-1)·cm^(-2)) and a high FE of 12.4%,which significantly outperformed the other most NRR *** high catalytic performance of FeS can be attributed to the 2D mackinawite structure,which provides a new insight to explore low-cost and high-performance Fe-based electrocatalysts,as well as accelerates the practical application of the NRR.

关键词： electrocatalysis electrocatalytic nitrogen reduction reaction FeS nanosheets faraday efficiency

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Relationship between mechanical load and surface erosion degradation of a shape memory elastomer poly(glycerol-dodecanoate)for soft tissue implant

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Regenerative Biomaterials 2023年第1期10卷 1085-1095页

作者： Kaixiang Jin Hanqin Li Mingkai Liang Yuqi Li Lizhen Wang Yubo Fan Key Laboratory of Biomechanics and Mechanobiology(Beihang University) Ministry of EducationBeijing Advanced Innovation Center for Biomedical EngineeringSchool of Biological Science and Medical EngineeringSchool of Engineering MedicineBeihang UniversityBeijing 100083China State Key Laboratory of Virtual Reality Technology and Systems Beihang UniversityBeijing 100083China

Poly(glycerol-dodecanoate)(PGD)has aroused increasing attention in biomedical engineering for its degradability,shape memory and rubber-like mechanical properties,giving it potential to fabricate intelligent implants for soft *** degradation is important for biodegradable implants and is affected by various *** mechanical load has been shown to play an important role in regulating polymer degradation in *** in-depth investigation of PGD degradation under mechanical load is essential for adjusting its degradation behavior after implantation,further guiding to regulate degradation behavior of soft tissue implants made by *** vitro degradation of PGD under different compressive and tensile load has proceeded in this study and describes the relationships by empirical *** on the equations,a continuum damage model is designed to simulate surface erosion degradation of PGD under stress through finite element analysis,which provides a protocol for PGD implants with different geometric structures at varied mechanical conditions and provides solutions for predicting in vivo degradation processes,stress distribution during degradation and optimization of the loaded drug release.

关键词： poly(glycerol-dodecanoate) in vitro degradation mechanical load surface erosion numerical simulation

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Debris cloud structure and hazardous fragments distribution under hypervelocity yaw impact

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Defence technology（防务技术） 2023年第9期27卷 169-183页

作者： Chenyang Wu Qi-Guang He Xiaowei Chen Chunbo Zhang Zebin Shen State Key Laboratory of Explosion Science and Technology Beijing Institute of TechnologyHaidian DistrictBeijing100081China School of Mechatronical Engineering Beijing Institute of TechnologyHaidian DistrictBeijing100081China Institute of Systems Engineering China Academy of Engineering PhysicsMianyangSichuan621999China

This study investigates how the debris cloud structure and hazardous fragment distribution vary with attack angle by simulating a circular cylinder projectile hypervelocity impinging on a thin plate using the finite element-smoothed particle hydrodynamics(FE-SPH)adaptive *** on the comparison and analysis of the experimental and simulation results,the FE-SPH adaptive method was applied to address the hypervelocity yaw impact problem,and the variation law of the debris cloud structure with the attack angle was *** screening criterion of the hazardous fragment at yaw impact is given by analyzing the debris formation obtained by the FE-SPH adaptive method,and the distribution characteristics of hazardous fragments and their relationship with the attack angle are ***,the velocity space was used to evaluate the distribution range and damage capability of asymmetric hazardous *** maximum velocity angle was extended from fully symmetrical working conditions to asymmetrical cases to describe the asymmetrical debris cloud distribution *** this range,the energy density was calculated to quantitatively analyze how much damage hazardous fragments inflict on the rear *** results showed that the number of hazardous fragments generated by the case near the 35°attack angle was the largest,the distribution range was the smallest,and the energy density was the *** results suggest that in this case,debris cloud generated by the impact had the strongest damage to the rear plate.

关键词： Debris cloud Hypervelocity yaw impact FE-SPH adaptive method Velocity space Hazardous fragments distribution

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Prescribed-Time Nash Equilibrium Seeking for Pursuit-Evasion Game

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IEEE/CAA Journal of Automatica Sinica 2024年第6期11卷 1518-1520页

作者： Lei Xue Jianfeng Ye Yongbao Wu Jian Liu D.C.Wunsch Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationNanjing 210096 School of Automation Southeast UniversityNanjing 210096China Department of Electrical and Computer Engineering Missouri University of Science and TechnologyRollaMO 65409 USA IEEE

Dear Editor,This letter is concerned with prescribed-time Nash equilibrium(PTNE)seeking problem in a pursuit-evasion game(PEG)involving agents with second-order *** order to achieve the prior-given and user-defined convergence time for the PEG,a PTNE seeking algorithm has been developed to facilitate collaboration among multiple pursuers for capturing the evader without the need for any global ***,it is theoretically proved that the prescribedtime convergence of the designed algorithm for achieving Nash equilibrium of ***,the effectiveness of the PTNE method was validated by numerical simulation results.A PEG consists of two groups of agents:evaders and *** pursuers aim to capture the evaders through cooperative efforts,while the evaders strive to evade *** is a classic noncooperative *** has attracted plenty of attention due to its wide application scenarios,such as smart grids[1],formation control[2],[3],and spacecraft rendezvous[4].It is noteworthy that most previous research on seeking the Nash equilibrium of the game,where no agent has an incentive to change its actions,has focused on asymptotic and exponential convergence[5]-[7].

关键词： seeking prescribed convergence

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Root-inspired,template-confined additive printing for fabricating high-robust conformal electronics

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Microsystems & Nanoengineering 2024年第6期10卷 529-544页

作者： Guifang Liu Xiangming Li Yangfan Qiu Chuanhang Zeng Xinkai Zhu Chao Wang Xiaoliang Chen Chunhui Wang Hongmiao Tian Jinyou Shao Micro-and Nano-technology Research Center State Key Laboratory for Manufacturing Systems EngineeringXi’an Jiaotong UniversityXi’anShaanxi 710049China Frontier Institute of Science and Technology(FIST) 28 Xianning RoadXi’an Jiaotong UniversityXi’anShaanxi 710049China

Conformal electronic devices on freeform surface play a critical role in the emerging smart robotics,smart skins,and integrated sensing ***,their functional structures such as circuits tend to tear-off,break,or crack under mechanical or thermal influence when in service,thus limiting the application reliability of conformal ***,inspired by the tree root system,template-confined additive(TCA)printing technology was presented for reliable fabrication of robust *** printing technology involves the penetration of adhesive into the functional material,thereby enhancing the mechanical robustness of the circuits,allowing them to maintain their electrical performance despite the presence of external damaging factors such as scratching,abrasion,folding,and high *** example,herein,the circuits could withstand mechanical abrasion at temperatures as high as 350°C without compromising electrical *** from the confines of template,the printed circuits achieved resolutions of up to 300 nm,suitable for various materials such as P(VDF-TrFE),MWCNTs,and AgNPs,which enabled the multi-material self-aligned ***,the versatility of TCA printing was presented by fabricating circuits on arbitrary substrates,and realizing various devices,such as conformal temperature/humidity sensing system and epidermal ultra-thin energy storage *** applications present the significant potential of TCA printing in fabricating intelligent devices.

关键词： printing template conformal

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Mask-guided Multi-scale Spatial-Spectral Transformer for Snapshot Compressive Imaging

Mask-guided Multi-scale Spatial-Spectral Transformer for Sna...

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

作者： Yin, Heyuan Yang, Jingxiang Liu, Jia Xiao, Liang School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing210094 China Key Laboratory of Analysis of Mathematical Theory and Modeling of Complex Systems Ministry of Industry and Information Technology China

ISBN: (纸本)9798350368741

Effectively reconstructing 3D hyperspectral images (HSIs) from 2D measurements presents a significant challenge in Coded Aperture Snapshot Spectral Imaging (CASSI) systems. While recent transformers exhibit potential in HSI reconstruction, they often suffer from inadequate exploration of multi-scale spatial-spectral self-similarity, leading to mean effects and information loss. Additionally, these methods struggle with insufficient modeling of the degradation inherent in the compressive imaging process. To address these issues, we propose a novel Mask-guided Multi-scale Spatial-Spectral Transformer (MMSST). Specifically, we introduce a Degradation Aware Mask Attention (DAMA) module to incorporate degradation information of the compressive imaging process. Furthermore, MMSST leverages Local-Regional SpAtial attention (LRSA) and Global-Regional SpEctral attention (GRSE) to effectively exploit multi-scale self-similarity across spatial and spectral dimensions. Extensive experimental results demonstrate the effectiveness of our MMSST. © 2025 IEEE.

关键词： hyperspectral reconstruction Snapshot Compressive Imaging spatial-spectral transformer

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