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Distributed multi-target tracking with labeled multi-Bernoulli filter considering efficient label matching

Frontiers of Information technology & Electronic Engineering 2025年第3期26卷 400-414页

作者： Changwen DING Chuntao SHAO Siteng ZHOU Di ZHOU Runle DU Jiaqi LIU School of Astronautics Harbin Institute of TechnologyHarbin 150001China National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Beijing 100076China

We propose a distributed labeled multi-Bernoulli(LMB)filter based on an efficient label matching *** distributed LMB filter fusion has the premise that the labels among local densities have already been ***,considering that the label space of each local posterior is independent,such a premise is not practical in many *** achieve distributed fusion practically,we propose an efficient label matching method derived from the divergence of arithmetic average(AA)mechanism,and subsequently label-wise LMB filter fusion is performed according to the matching *** with existing label matching methods,this proposed method shows higher performance,especially in low detection probability ***,to guarantee the consistency and completeness of the fusion outcome,the overall fusion procedure is designed into the following four stages:pre-fusion,label determination,posterior complement,and uniqueness *** performance of the proposed label matching distributed LMB filter fusion is demonstrated in a challenging nonlinear bearings-only multi-target tracking(MTT)scenario.

关键词： Distributed multi-sensor multi-target tracking Labeled multi-Bernoulli filter Arithmetic average fusion Label matching

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Intensified Tropical Cyclones in Global Climate Simulations Employing a High-Wind Drag Relation over Sea Surface

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Journal of Climate 2025年第10期38卷 2205-2223页

作者： Wei, Wei Lu, Yixiong Yang, Shunan Liu, Yiming Wu, Tongwen Song, Zhenya Qiao, Fangli Li, Yubin Wu, Fanghua Rong, Xinyao Li, Jianglong CMA Earth System Modeling and Prediction Centre China Meteorological Administration Beijing China State Key Laboratory of Severe Weather Meteorological Science and Technology CMA Earth System Modeling and Prediction Centre Beijing China National Meteorological Centre China Meteorological Administration Beijing China First Institute of Oceanography Key Laboratory of Marine Science and Numerical Modeling Ministry of Natural Resources Qingdao China School of Atmospheric Physics Nanjing University of Information Science and Technology Nanjing China

Accurate parameterization of momentum fluxes at high winds across the air–sea interface is crucial for realistically simulating the surface wind fields of tropical cyclones (TCs). Climate models often struggle to reproduce observed TC intensities, particularly surface wind speeds. This study evaluates the performance of a revised surface drag scheme with a capping drag coefficient at high wind speeds in global climate models (GCMs). Our results indicate that the revised surface drag scheme significantly improves the representation of TCs in a statistical sense: (i) Not only the mature intensity but also the maximum 10-m wind speeds throughout the TC life cycle are largely enhanced;(ii) biases in the pressure–wind relationship are notably alleviated, exhibiting reasonable agreement with observations;and (iii) other TC statistical features, such as TC number, central sea level pressure, individual lifetime, and intensification rate, show relatively minor sensitivity to the surface drag schemes. The main reason for the superiority of the revised high-wind drag relation is that the lower drag coefficient in high-wind conditions significantly increases the maximum potential intensity (MPI), indicating a higher theoretical limit for TC intensities. These findings are consistent across different model versions and resolutions, highlighting the robustness of the high-wind surface drag parameterization in controlling the simulated surface wind speeds of TCs in GCMs. © 2025 American Meteorological Society.

关键词： Tropical cyclone

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Dynamic failure of aramid paper honeycomb under intermediate strain rate loading

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Thin-Walled Structures 2025年 215卷

作者： Chen, Meiduo Zhang, Xianglin Xu, Songlin Ma, Hao Yuan, Liangzhu Xie, Yushan Zhang, Xiaoman Wang, Pengfei University of Science and Technology of China Department of Modern Mechanics CAS Key Laboratory for Mechanical Behavior and Design of Materials Anhui Hefei230027 China Beijing Institute of Space Long March Vehicle Beijing100076 China National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Beijing100076 China

Investigation of the transformation process of failure mechanism for materials and structures under intermediate strain rate loading is of great significance. To achieve intermediate strain rate loading, a novel experimental technique is proposed using a high-speed-rotating eccentric cam to compress the specimen. The particle velocities and the stresses at both ends of the specimen are measured by the velocity interferometer system for any reflector (VISAR) and by the semiconductor strain gauges, respectively. The paper honeycomb specimens with four thicknesses (i.e. 2 mm, 3 mm, 5 mm, and 10 mm) are tested under strain rates ranging from 0.1 to 15 s-1. Local deformation evolution in the specimen is captured based on high-speed photography and analyzed by the digital image correlation method (DIC). The deformation under intermediate strain rate loading is distinguished by higher particle velocity and lower particle acceleration, which is different from those under the static compression (at lower strain rates) and the Split Hopkinson Pressure bar (SHPB) impacting (at higher lower strain rates). Based on the DIC results, the abnormal size effect of specimen 2 mm is due to the competition between in-plane shear failure and out-of-plane buckling. The theoretical model is then established by introducing two main parameters, i.e. the lateral weakening factor ξ and the dynamic parameter k, to describe respectively the effects of in-plane shearing and strain rate on the out-of-plane wall buckling, and the critical stress for specimen buckling is obtained. The results show that the buckling deformation and the half-wave number for buckling are sensitive to the two parameters. This work provides theoretical and experimental references for the study of thin-walled structures under intermediate strain rate. © 2025 Elsevier Ltd

关键词： Fracture mechanics

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The Changes in Heating and Cooling Energy Demand in Beijing and Shanghai under Global Warming

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Journal of Applied Meteorology and Climatology 2025年第5期64卷 413-424页

作者： Xu, Yan Si, Dong Cao, Lei Yu, Yu Wu, Xueyuan Chen, Sining National Meteorological Information Centre China Meteorological Administration Beijing China National Key Laboratory of Earth System Numerical Modeling and Application Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science and Technology Nanjing China Chinese Academy of Meteorological Sciences China Meteorological Administration Beijing China

Climate change significantly influences electricity and energy demand, yet a comprehensive understanding of heating and cooling energy demand in China’s major cities under the impact of global warming remains incomplete. This study utilized monthly electricity consumption and mean air temperature data to accurately determine the base temperatures for Beijing and Shanghai, identified as 18.948 and 19.548C, respectively. We further established the heating degree-day (HDD) and cooling degree-day (CDD) indices for both cities over the period from 1961 to 2020. The results indicate a declining trend in winter heating demand and an increasing trend in summer cooling energy demand in both Beijing and Shanghai from 1961 to 2020. Notably, the decrease in winter heating demand exceeds the increase in summer cooling demand for each city. The findings indicate a higher sensitivity of electricity demand to temperature in Beijing during summer (13.5519 TWh 8C21) compared to winter (21.5706 TWh 8C21). Similarly, in Shanghai, temperature sensitivity is higher in summer (15.1133 TWh 8C21) than in winter (21.7133 TWh 8C21). This high sensitivity during the summer months implies an overall increase in future energy demand. While Beijing demonstrates a higher demand for winter heating compared to Shanghai, its demand for summer cooling is comparatively lower. Nevertheless, due to Shanghai’s greater sensitivity of electricity demand to temperature compared to Beijing, it is projected that Shanghai’s total energy demand will exceed that of Beijing in the future. © 2025 American Meteorological Society.

关键词： Electric power utilization

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Revealing atomic strengthening mechanism in CoNiV medium-entropy alloy via machine learning-guided simulations

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Journal of Materials science and technology 2025年 238卷 66-77页

作者： Li, Wenyue Liu, Xiongjun Liu, Leqing Du, Qing Lin, Deye Chen, Xin He, Dong Wang, Shudao Wu, Yuan Wang, Hui Jiang, Suihe Zhang, Xiaobin Lu, Zhaoping Beijing Advanced Innovation Center for Materials Genome Engineering State Key Laboratory for Advanced Metals and Materials University of Science and Technology Beijing Beijing100083 China School of Intelligent Manufacturing and Mechanical Engineering Hunan Institute of Technology Hengyang421002 China School of Materials Science and Engineering Ocean University of China Qingdao266100 China CAEP Software Center for High Performance Numerical Simulation Beijing100088 China Institute of Applied Physics and Computational Mathematics Beijing100094 China School of Materials Science and Engineering Dalian University of Technology Dalian116024 China

High/medium entropy alloys (H/MEAs) have shown unique strengthening behavior and mechanical properties because of the presence of massive local chemical orderings. Nevertheless, dynamic interactions between chemical short-range orders (CSROs) and dislocations, and the underlying atomic strengthening mechanism remain elusive. In this work, we first developed a novel machine learning-embedded atom method (ML-EAM) potential of the CoNiV system, trained on a comprehensive first-principles dataset, which enables accurate and efficient modeling of CSRO formation and dislocation dynamics. Then, we investigated the strengthening mechanisms of CSROs in CoNiV MEA through machine learning-augmented molecular dynamics (MD) simulations. Hybrid MD/Monte Carlo simulations reveal that CSRO domains possess an L12 (NiCo)3 V structure, whose size increases with lowering annealing temperatures. These domains significantly enhance strength by impeding dislocation motion through complex energy pathways, increasing depinning forces, and reducing mobility. Moreover, the MD simulations combined with theoretical analysis elucidate the competition between CSRO-assisted strengthening (via antiphase boundary formation) and solid solution weakening (via reduced atomic misfit volume). Phonon-drag effects are also amplified by CSROs, further resisting dislocation glide. Our results demonstrate that L12-CSROs strengthen CoNiV MEA primarily through antiphase boundary and phonon-drag contributions, providing new insights for designing high-performance multi-principal-element alloys via tailoring CSROs. © 2025

关键词： Turing machines

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Htem: High-Throughput Toolkit for Elasticity Modeling

SSRN

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SSRN 2025年

作者： Yang, Zhen Xian, Jiawei Xu, Yuanji Lin, De-Ye Wang, Qingchun Gao, Xingyu Tian, Fuyang Song, Haifeng Institute for Applied Physics University of Science and Technology Beijing Beijing100083 China National Key Laboratory of Computational Physics Institute of Applied Physics and Computational Mathematics Beijing100094 China CAEP Software Center for High Performance Numerical Simulation Institute of Applied Physics and Computational Mathematics Beijing100094 China

The elasticity under varying temperatures and pressures is particularly significant for understanding mechanical properties and structural phase transitions. Consequently, there is an increasing demand for tools capable of determining elasticity across wide temperature and pressure ranges, either numerically or analytically. We propose HTEM, a comprehensive toolkit that automates the workflow for input generation, elastic calculations, modeling, and visualization within an integrated framework. HTEM performs simulations with four computational modes, allowing users to balance accuracy and efficiency. It incorporates a semi-analytic model for robust, high-precision elastic modeling with finite data combinations, even using sparse elasticity at high temperatures. To validate the workflows of calculation and modeling, we perform HTEM to study the elasticity of Si across wide temperature and pressure ranges. Results show the high precision and high efficiency of HTEM. And modeling mitigates noise from constant pressure ensemble simulations. Furthermore, HTEM provides detailed visualizations of elasticity and its anisotropy as functions of temperature and pressure, providing comprehensive insights into how the intrinsic properties of materials evolve under varying conditions. © 2025, The Authors. All rights reserved.

关键词： Elasticity

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Predicting on the Extreme Precipitation in East and Southeast Asia during Summer 2022 from the Antecedent Soil Temperature Anomaly over the Tibetan Plateau

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Journal of Climate 2025年第9期38卷 2109-2128页

作者： Kong, Xianghui Wang, Aihui Xue, Yongkang Wei, Nan Zhang, He Hu, Qin He, Juanxiong Bi, Xunqiang Chen, Yue Nansen-Zhu International Research Centre Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science and Technology Nanjing China Plateau Atmosphere and Environment Key Laboratory of Sichuan Province Chengdu University of Information Technology Sichuan Province Chengdu China University of California Los AngelesCA United States School of Atmospheric Sciences Sun Yat-sen University Zhuhai China International Center for Climate and Environment Sciences Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China School of Atmospheric Sciences Chengdu University of Information Technology Sichuan Province Chengdu China Climate Change Research Center Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China National Super Computer Center in Tianjin Tianjin China State Key Laboratory of Earth System Numerical Modeling and Application Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China

It has demonstrated that May land surface temperature (LST) and subsurface temperature (SUBT) anomalies on the Tibetan Plateau (TP) can serve as a predictor of June precipitation in downstream *** summer 2022, there was heavy precipitation (severe drought) in June (August) over southern China, coinciding with high May (July) LST/SUBT anomalies in *** the framework of the Impact of Initialized Land Temperature and Snowpack on Subseasonal to Seasonal Prediction (LS4P), this study explores the causality between 2022 May (July) TP LST/SUBT and June (August) precipitation using an ensemble of land–atmosphere coupled model *** show that model prediction with imposed strongly positive May TP LST/SUBT (i.e., a triple) anomaly could produce 67% (46%) of June precipitation anomalies in South (northeast) China, while sea surface temperature (SST) effects account for 5% (51%).The atmosphere condensation heating and surface sensible heating due to TP LST/SUBT anomaly induce anomalous South Asian high, which moves eastward along with the Rossby ***, the above process enhances upward motion, convective instability, and water vapor transport, eventually be favorable for rainfall formation in South China and northeast *** Southeast Asia, it makes a downward movement, decrease in atmospheric water vapor, and unfavorable to the occurrence of ***, July TP LST/SUBT contributes to the prediction skill for August record-breaking drought in southern *** to SST effects, it is found that TP LST/SUBT effects significantly enhance the prediction skill for downstream region, suggesting that the TP land contributes an important source for subseasonal climate prediction. © 2025 American Meteorological Society.

关键词： Rivers

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Characteristic Mode Design of Dual-Band Reconfigurable Frequency Selective Surface

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Chinese Journal of Electronics 2022年第6期31卷 1129-1137页

作者： NING Zihao LI Mengmeng DING Dazhi AI Xia LIU Jiaqi Department of Communication Engineering Nanjing University of Science and Technology National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics

In this paper, a characteristic mode design of dual-band reconfigurable frequency selective surface(RFSS) with transmission/reflection band is presented. Through the visualization of modal behavior, the theory of characteristic modes(TCM) is used to guide design from a physical perspective. At first, the dominant modes of two basic structures that have a major impact on reflection are clarified by observing the modal *** appropriate combination of the two structures forms an initial element with bandpass properties. Then, the positive-intrinsic-negative(PIN) diode is placed in the middle of the microstrip line and as the state shifts from ON to OFF, the dominant mode resonant frequency of the microstrip line shifts upward. Such a feature can be used to design the transmission/reflection RFSS. Experimentally, a dual-band RFSS operating at 8.8 GHz and 10.4 GHz is designed and fabricated. The measured results that agree with the full-wave simulation validate the proposed TCM-based design.

关键词： dual-band reconfigurable frequency selective surface dual-band RFSS positive-intrinsic-negative diode theory of characteristic modes characteristic mode design full-wave simulation transmission band p-i-n diodes modal behavior visualization bandpass properties microstrip lines microstrip line dominant mode resonant frequency PIN diode microwave filters frequency selective surfaces TCM-based design reflection band transmission RFSS microwave diodes band-pass filters microstrip filters reflection RFSS

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Low-overlap square aperture ptychography with selective scanning

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Optics and Laser technology 2025年 190卷

作者： Qiao, Ziling Wen, Xiu Chen, Hang Huang, Guancheng Zhou, Xuyang Li, Ziyang Ji, Yu Liu, Wei Chi, Dazhao Gao, Bin Liu, Shutian Xue, Feng Liu, Zhengjun Li, Yutong School of Physics Harbin Institute of Technology Harbin 150001 China School of Physical Science and Technology Tiangong University Tianjin 300387 China School of Space Information Space Engineering University Beijing 101416 China Optical Imaging Laboratory Harbin Institute of Technology Shenzhen 518055 China National Key Laboratory of Precision Welding & Joining of Materials and Structures Harbin Institute of Technology Harbin 150001 China College of Data Science and Technology Heilongjiang University Harbin 150080 China National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Beiiing 100076 China

As an excellent representative of coherent diffraction imaging, ptychography iterative engine plays a crucial role in biomedical imaging and crystal structure analysis. However, the significant challenges regarding imaging speed and throughput have hindered its development in fast imaging. In this paper, we propose a fast square aperture reconstruction method with a low-overlap rate aimed at mitigating the issue of low efficiency. Our approach, employing the Tamura coefficient of gradient (TOG) operator-guided strategy with square aperture, surpasses the performance of previous initial iterations. Enhanced imaging quality is demonstrated by intentionally selecting patterns in the reconstruction stage. Our results illustrate that a high-overlap rate and extensive patterns are no longer indispensable for lensless ptychography. © 2025 Elsevier Ltd

关键词： Coherent diffraction imaging Computational imaging Phase retrieval Ptychography

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The role of single loading dielectric layer on properties of Frequency Selective Surfaces

The role of single loading dielectric layer on properties of...

引用

International Workshop on Metamaterials (Meta)

作者： Zhang, S. J. Liu, J. Q. Wang, M. L. Ms, W. M. Liang, W. Liu, X. M. Hou, X. C. National Key Laboratory of Science and Technology on Test Physics & Numerical Mathematics

ISBN: (纸本)9781467328081

Frequency selective surfaces (FSS) have attracted researchers from many subjects for decades for its tempting applications such as for radome radar cross section (RCS) reduction, sub-reflector, et. al. Many studies was focused on different type FSS, such as unit shape, dielectric loading, layers of FSS. And it is of popular consideration that double dielectric loading on both sides of FSS be an ideal configuration. In this paper, the type of single side loading, which is more similar to the practical configuration, was studied with the numerical method. And it is found that both the thickness of thick loading layer and the constant of the thin substrate play key roles to the properties of FSS.

关键词： frequency selective surfaces loading LOADING dielectric layer side load numerical methods sidings

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