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Research Progress in the Intelligent Identification of Ecologically Vulnerable Areas and Its Prospects in the Mongolian Plateau

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Journal of Resources and Ecology 2025年第1期16卷 1-10页

作者： WANG Meng WANG Juanle Ochir ALTANSUKH State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China College of Resources and Environment University of Chinese Academy of SciencesBeijing 100049China Environmental Engineering Laboratory Department of Environment and Forest EngineeringSchool of Engineering and TechnologyNational University of MongoliaUlaanbaatar 14201Mongolia Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing 210023China

Identifying ecologically vulnerable areas is critical for constructing ecological barriers and precisely controlling ecological *** the rapid development of big data and Artificial Intelligence(AI)technologies,many intelligent methods have been developed to support the identification of vulnerable ecological *** paper reviews the methodological advancements in identifying ecologically vulnerable areas,including geographic zoning,expert integration,mathematical statistics,geographic information visualization,artificial neural networks,and unsupervised deep learning clustering ***,we assessed several classic software tools used in ecology and natural resource *** on the review,several urgent research challenges for ecological function zoning research are proposed,such as the application of ecological vulnerability assessment intelligent algorithms,big data collaborative analysis,and the development of automated identification *** the requirements in the Mongolian Plateau,this study proposes future development prospects of methods for identifying ecologically vulnerable area zoning,combined with the new AI research *** include enhancing the comprehensive analysis of multimodal data,increasing ecological barrier big data collaborative processing,advancing the interpretability of ecological function partitioning algorithms,developing automatic zoning software tools,and pushing the collaborative analysis of geographic big data and citizen science data.

关键词： ecological barrier vulnerable zone identification ecological function zoning ecological,geographical zoning intelligent technology resource ecology

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Deep Learning Based Vehicular Millimeter-Wave Channel Prediction Using Visual Information

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IEEE Antennas and Wireless Propagation Letters 2025年

作者： Wang, Shirui He, Ruisi Yang, Mi Ai, Bo Zhang, Xuejian Zhong, Zhangdui Zhang, Haoxiang Han, Jiahui Liu, Bingcheng Beijing Jiaotong University State Key Laboratory of Advanced Rail Autonomous Operation the School of Electronics and Information Engineering the Frontiers Science Center for Smart High-speed Railway System Beijing100044 China Ministry of Industry and Information Technology China Academy of Industrial Internet Beijing100044 China Chinese Academy of Sciences Aerospace Information Research Institute Beijing100094 China

Millimeter-wave channel prediction requires detailed and accurate environmental information due to challenges of non-line-of-sight transmission and severe reflection and scattering. Image information conveniently reflects real-time changes of physical environment and provides a promising solution for millimeter-wave channel modeling. However, research on millimeter-wave channel prediction based on RGB images is still in its exploratory stage. Meanwhile, RGB images introduce new influencing factors, such as visual angle changes, leading to inaccurate prediction. This article proposes a millimeter-wave channel prediction model based on propagation knowledge and visual information, which enhances original RGB image features while combining manual features from specific domain prior knowledge in propagation. Experimental results show that the proposed model outperforms traditional RGB image-based prediction for a multi-scenario, multiview fused dataset, achieving a symmetric mean absolute percentage error as low as 4.16%. In addition, the proposed model demonstrates enhanced stability and interpretability. © 2002-2011 IEEE.

关键词： Prediction models

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Research on expansion joint for high-speed railway long-span bridges in China

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Railway Sciences 2025年第1期4卷 52-81页

作者： Hui Guo Jinzhou Jiang Suoting Hu Chun Yang Qiqi Xiang Kou Luo Xinxin Zhao Bing Li Ziquan Yan Liubin Niu Jianye Zhao China Academy of Railway Sciences Corporation Limited Railway Engineering Research InstituteBeijingChina and State Key Laboratory for Track System of High-speed RailwayChina Academy of Railway Sciences Corporation LimitedBeijingChina China Academy of Railway Sciences Corporation Limited Railway Engineering Research InstituteBeijingChina CMCU Engineering Co. Ltd.China National Machinery Industry CorporationChongqingChina First Design Department China Railway Group LtdMajor Bridge Reconnaissance and Design InstituteWuhanChina State Key Laboratory for Track System of High-speed Railway China Academy of Railway Sciences Corporation LimitedBeijingChina and China Academy of Railway Sciences Corporation LimitedRailway Engineering Research InstituteBeijingChina Ma'anshan Yangtze River Bridge Headquarters Ning'an Railway Co.Ltd.China Railway Shanghai GroupMa'anshanChina China Academy of Railway Sciences Corporation Limited Infrastructure Inspection Research InstituteBeijingChina

Purpose–The bridge expansion joint(BEJ)is a key device for accommodating spatial displacement at the beam end,and for providing vertical support for running trains passing over the gap between the main bridge and the approach *** long-span railway bridges,it must also be coordinated with rail expansion joint(REJ),which is necessary to accommodate the expansion and contraction of,and reducing longitudinal stress in,the *** main aim of this study is to present analysis of recent developments in the research and application of BEJs in high-speed railway(HSR)long-span bridges in China,and to propose a performance-based integral design method for BEJs used with REJs,from both theoretical and engineering ***/methodology/approach–The study first presents a summary on the application and maintenance of BEJs in HSR long-span bridges in China representing an overview of their state of *** of a survey of typical BEJ faults were analyzed,and field testing was conducted on a railway cable-stayed bridge in order to obtain information on the major mechanical characteristics of its BEJ under train *** on the above,a performance-based integral design method for BEJs with maximum expansion range 1600 mm(±800 mm),was proposed,covering all stages from overall conceptual design to consideration of detailed structural design *** performance of the novel BEJ design thus derived was then verified via theoretical analysis under different scenarios,full-scale model testing,and field testing and ***–Two major types of BEJs,deck-type and through-type,are used in HSR long-span bridges in *** BEJ faults were found to mainly include skewness of steel sleepers at the bridge gap,abnormally large longitudinal frictional resistance,and flexural deformation of the scissor *** faults influence BEJ functioning,and thus adversely affect track quality and train running performance at the beam *** to th

关键词： High-speed railway(HSR) Long-span bridge Bridge expansion joint(BEJ) Integral design Rail expansion joint(REJ) Overall stiffness Longitudinal frictional resistance

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Learning-Based NOMA-Enabled Queue-Aware Task Offloading and UAV 3D Trajectory Planning for SAGIN

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IEEE Transactions on Vehicular Technology 2025年

作者： Qin, Peng Li, Hongjie Fu, Yang Hu, Jinhui Wu, Xue Zhang, Xianchao North China Electric Power University State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Electrical and Electronic Engineering Beijing102206 China Beijing University of Technology Beijing100124 China China Electronics Technology Group Co. Ltd New Smart City Research Institute Shenzhen518038 China Jiaxing University Provincial Key Laboratory of Multimodal Perceiving and Intelligent Systems Jiaxing314001 China

Space-air-ground integrated network (SAGIN) is a viable solution to serve users in such areas lacking ground base stations, in which case unmanned aerial vehicles (UAVs) provide massive access and satellites provide backhaul transmission. To improve spectrum utilization and throughput, non-orthogonal multiple access (NOMA) is used to reuse channels. However, different trajectories of UAVs and computing task assignment may lead to various communication delay and energy consumption. Additionally, regarding the high dynamic nature of SAGIN, it often falls into the dilemma of information uncertainty and curse of dimensionality. To overcome the above challenges, a hierarchical network model is designed, where UAVs and satellites collaborate to process users' offloaded computing tasks. Then, a joint UAV trajectory design, task offloading, task assignment and computing resource allocation problem for minimizing system cost is then proposed. Due to the coupling between queue delay constraints and decision-making, Lyapunov optimization is applied to split the issue into three subproblems. Firstly, a UAV trajectory design and task offloading algorithm based on multi-agent twin delayed deep deterministic policy gradient (MATD3) is designed to deal with the curse of dimension issue. Then, the problem of joint task assignment and UAV computing resource allocation is solved via CVX due to that it is convex. Finally, a low-complexity Greedy-based Satellite Computing Resource Allocation (GSCRA) algorithm is proposed to obtain the minimum system cost. simulations show the superior performance of our algorithm compared with benchmarks in reducing the system cost. © 1967-2012 IEEE.

关键词： Resource allocation

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Continual Reinforcement Learning for Digital Twin Synchronization Optimization

arXiv

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arXiv 2025年

作者： Tong, Haonan Chen, Mingzhe Zhao, Jun Hu, Ye Yang, Zhaohui Liu, Yuchen Yin, Changchuan The Beijing Key Laboratory of Network System Architecture and Convergence The Beijing Advanced Information Network Laboratory Beijing University of Posts and Telecommunications Beijing China Singapore The Department of Electrical and Computer Engineering Frost Institute for Data Science and Computing University of Miami Coral GablesFL33146 United States The Department of Industrial and Systems Engineering University of Miami Coral GablesFL33146 United States The College of Information Science and Electronic Engineering Zhejiang University Zhejiang Hangzhou310027 China The Department of Computer Science North Carolina State University RaleighNC27695 United States The Beijing Key Laboratory of Network System Architecture and Convergence China The Beijing Advanced Information Network Laboratory Beijing University of Posts and Telecommunications Beijing100876 China

This article investigates the adaptive resource allocation scheme for digital twin (DT) synchronization optimization over dynamic wireless networks. In our considered model, a base station (BS) continuously collects factory physical object state data from wireless devices to build a real-time virtual DT system for factory event analysis. Due to continuous data transmission, maintaining DT synchronization must use extensive wireless resources. To address this issue, a subset of devices is selected to transmit their sensing data, and resource block (RB) allocation is optimized. This problem is formulated as a constrained Markov process (CMDP) problem that minimizes the long-term mismatch between the physical and virtual systems. To solve this CMDP, we first transform the problem into a dual problem that refines RB constraint impacts on device scheduling strategies. We then propose a continual reinforcement learning (CRL) algorithm to solve the dual problem. The CRL algorithm learns a stable policy across historical experiences for quick adaptation to dynamics in physical states and network capacity. simulation results show that the CRL can adapt quickly to network capacity changes and reduce normalized root mean square error (NRMSE) between physical and virtual states by up to 55.2%, using the same RB number as traditional methods. © 2025, CC BY-NC-SA.

关键词： Markov processes

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Improved High-Speed Thermal Analysis Based on Two-Step simulation for High-Frequency Transformers

Improved High-Speed Thermal Analysis Based on Two-Step Simul...

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Annual IEEE Conference on Applied Power Electronics Conference and Exposition (APEC)

作者： Zheyuan Yi Kai Sun Qiang Li Zengyang Liu Department of Electrical Engineering State Key Laboratory of Power System Tsinghua University Beijing China Delta Electronics Shanghai Co. Ltd. Shanghai China The Bradley Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State Center for Power Electronics Systems University Blacksburg Virginia USA

ISBN: (数字)9798331516116

ISBN: (纸本)9798331516123

Thermal analysis is a crucial and time-consuming step in the optimization design process of high-frequency transformers (HFTs). This paper proposes an improved thermal analysis method based on heat dissipation-conduction two-step simulation, significantly reducing the computation time while ensuring the accuracy of thermal analysis. simulation results validate the accuracy and of the proposed method and demonstrate that the proposed method saves 82% of computation time for a single thermal analysis case compared to direct CFD. Experimental results further verify the accuracy of the proposed method. An exemplary application of the proposed method in the optimization design of the HFT illustrates a 98% reduction in computation time for thermal analysis during the optimization process.

关键词： Heating systems Temperature distribution Accuracy simulation Computational modeling Thermal analysis High-frequency transformers Optimization Surface treatment Heat transfer

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Joining copper to thermosetting polymer via “Mortise and Tenon” interlocking and chemical-bonding both in-situ generated during friction stir spot welding

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Journal of Manufacturing Processes 2025年 149卷 318-330页

作者： Yidi Wu Jiaxun Li Zijie Huang Fangzheng Shi Licheng Sun Huihong Liu Gaoqiang Chen Peng Li Yongbing Li Zhongqin Lin Shanghai Key Laboratory of Digital Manufacture for Thin-walled Structures Shanghai Jiao Tong University Shanghai 200240 PR China State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University Shanghai 200240 PR China State Key Laboratory of Clean and Efficient Turbomachinery Power Equipment Department of Mechanical Engineering Tsinghua University Beijing 100084 PR China Key Laboratory for Advanced Materials Processing Technology Ministry of Education Beijing 100084 PR China Shanghai Radio Equipments Research Institute 201109 Shanghai PR China School of Materials Science and Engineering Shanghai Jiao Tong University Shanghai 200240 PR China

This study successfully joined the hard-to-weld combination of Cu and thermosetting polyimide (PI) for the first time using a novel strategy combining chemical plating and friction stir spot welding (FSSW). A thin Cu layer was first chemical-plated on a surface-roughened PI sheet, then a thick Cu sheet was friction stir spot welded onto the chemical-plated PI. Under the appropriate thermo-mechanical conditions, Cu sheet beneath the stir zone was bonded atomically with the chemical-plated Cu layer, transferring both vertically downward force and horizontally shearing torque to the Cu materials approaching to the Cu/PI interface. A strong “mortise and tenon” interlocking was thus generated at the Cu/PI interface owing to the plastic deformation of Cu and the constraint from PI. Simultaneously, the released CO and NO₂ gases from PI, along with the thermal environment, oxidized the Cu surface at the Cu/PI interface, forming a nanoscale Cu₂O layer. This enabled chemical bonding between the functional group (-C=O) on the PI's surface and the Cu₂O oxide on the Cu surface. Both “mortise and tenon” interlocking and chemical bonding were finally generated in-situ during the welding process, thereby playing a remarkable effect on improving the mechanical performance of Cu/PI joints.

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A modified spectral standardization method for uranium ores measurement using laser induced breakdown spectroscopy

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Analytica Chimica Acta 2025年 1359卷 344125页

作者： Ji, Jianxun Hou, Zongyu Gu, Weilun Yu, Xiang Wang, Zhe State Key Lab of Power Systems International Joint Laboratory on Low Carbon Clean Energy Innovation Department of Energy and Power Engineering Tsinghua University Beijing100084 China Shanxi Research Institute for Clean Energy Tsinghua University Shanxi 030032 China School of Energy and Electrical Engineering Qinghai University Key Laboratory of Intelligent Operation of New Energy Power System of Ministry of Education Xining810016 China China National Uranium Corporation Beijing100013 China

Background: The high signal uncertainty is the key factor hindering the quantification performance of laser induced breakdown spectroscopy (LIBS) technology. Different plasma parameter compensation algorithms for reducing signal uncertainty have been proposed. Among them, spectral standardization is a representative, which can reduce signal uncertainty by compensating for the variations of plasma parameters, especially using multiple independent spectral lines of the measured element to compensate for the fluctuation of total number density. However, it's hard to find enough independent lines for cases such as uranium in ores measurement. This work proposes an updated version to reduce the signal uncertainty for these cases. Results: On the basis of spectral standardization method, the new method uses another element information of the matrix to compensate the fluctuation of total number density for the measured element. Specifically, multiple spectral lines of another element are first used to characterize its total number density, and then the total number density of the measured element is obtained through the correlation between the two elements. Finally, the new method is evaluated on uranium ores. Results showed that after using the information of the silicon element to estimate the total number density of uranium, the relative standard deviation(RSD) of the U II 409.01 nm was reduced from the original 23.03 %% to 9.41 %, the quantitative model determination coefficient (RC2) of uranium was increased from the original 0.9129 to 0.9921, and the root mean square error of prediction (RMSEP) was reduced from the original 0.2586 to 0.0670. Significance: The modified spectral standardization method, which using another element information to estimate the total number density of the measured element, can greatly reduce the signal uncertainty and improve the quantitative analysis performance of uranium in ores. What's more, it provides a new signal uncertainty reducti

关键词： Laser induced breakdown spectroscopy

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Data-Driven Remaining Driving Range Estimation and Analysis Framework for Electric Vehicles Under Real-World Conditions

SSRN

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SSRN 2025年

作者： Zhou, Litao Wang, Zhenpo Mao, Zhiyu Wang, Qiushi Zhang, Dayu Zhang, Zhaosheng Chen, Zhongwei University of Waterloo Canada Power Battery & System Research Center Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian116023 China State Key Laboratory of Catalysis Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian116023 China National Engineering Laboratory for Electric Vehicles Beijing Institute of Technology Beijing100081 China Collaborative Innovation Center for Electric Vehicles in Beijing Beijing100081 China

Range anxiety is one of the major issues impeding the widespread adoption of electric vehicles (EVs). Accurate estimation of the remaining driving range (RDR) can effectively address this problem. However, in real-world operations, the coupling effects of various factors such as driving behavior, ambient temperature, and battery aging present significant challenges to accurate RDR estimation. In this study, a novel data-driven framework is proposed to achieve real-time online estimation and analysis of the remaining driving range for real-world vehicles. Firstly, methods for calculating energy consumption and state of health (SOH) based on real vehicle operation data are proposed. Then, stepwise estimation of the energy consumption rate (ECR) and RDR is conducted using random forest regression methods. Finally, a multidimensional analysis of driving range capability is achieved through the estimation model. The proposed framework was validated on passenger vehicle and bus fleets in different cities over a three-year period. The results show that the prediction accuracy for the driving range reached a mean relative error of 5.39% and 5.37%, respectively. By adjusting driving behavior, the driving range can be improved by over 30% for passenger vehicles and over 10% for buses. © 2025, The Authors. All rights reserved.

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Revisiting the interplay between Comammox and Anammox: cooperative or competitive?

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Journal of Water Process engineering 2025年 75卷

作者： Bian, Yihao Fu, Kunming He, Xun Li, Xiaodan Wang, Xinlin Zhang, Yongji State Key Laboratory of Pollution Control and Resource Reuse College of Environmental Science and Engineering Tongji University Shanghai 200092 China Shanghai Institute of Pollution Control and Ecological Security Shanghai 200092 China Key Laboratory of Urban Storm Water System and Water Environment Ministry of Education Beijing University of Civil Engineering and Architecture Beijing 100044 China

Complete ammonia oxidation (Comammox) has challenged the traditional two-step nitrification paradigm and reshaped the understanding of nitrogen removal in wastewater treatment. Anaerobic ammonia oxidation (Anammox) technology is considered as a suitable process for future wastewater treatment. However, the limited availability of substrates for Anammox has consistently hindered its broader application. The Comammox process has often been neglected in previous studies of Anammox. However, as far as the current study is concerned, Comammox may contribute to the advancement of wastewater treatment in the future with its wide distribution, strong environmental adaptability and low greenhouse-gas emissions. Recent studies have shown that Comammox may have the ability of nitrite leakage during ammonia oxidation, which provides a new pathway for substrate acquisition for the Anammox process. In this study, the relationship between Comammox and Anammox was elaborated based on their functions by comparing the distribution of both, as well as the similarity and specificity of the effects of different environmental factors on them. It was noted that the synergistic effects of Comammox and Anammox should be further explored. A possible strategy to achieve a fast nitrite supply by Comammox is proposed and the optimization of kinetic parameters is suggested. © 2025 Elsevier Ltd

关键词： Anammox Comammox N2O Nitrification Nitrite

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