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Impact of net-zero emissions on atmospheric CO_(2) concentration in China: Ideal simulations based on the GEOS-Chem model

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science China Earth sciences 2025年第3期68卷 867-881页

作者： Jingye TAN Jun WANG Huiqin MAO Hengmao WANG Zhiqiang LIU Meirong WANG Ran YAN Xunmei WANG Fei JIANG Frontiers Science Center for Critical Earth Material Cycling International Institute for Earth System ScienceNanjing UniversityNanjing 210023China Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural ResourcesSchool of Geography and Ocean ScienceNanjing UniversityNanjing 210023China Satellite Environmental Application Center Ministry of Environmental ProtectionBeijing 100094China CMA Key Open Laboratory of Transforming Climate Resources to Economy Chongqing Institute of Meteorological SciencesChongqing 401147China State Key Laboratory of Climate System Prediction and Risk Management Key Laboratory of Meteorological DisasterMinistry of EducationCollaborative Innovation Center on Forecast and Evaluation of Meteorological DisastersNanjing University of Information Science and TechnologyNanjing 210044China Xizang Field Station for Scientific Observation and Research on Atmospheric Water Cycle in Mêdog Xigazêand Mêdog National Climate ObservatoryXizang Meteorological ServiceLhasa 850000China

Elevated atmospheric carbon dioxide(CO_(2)) concentrations have caused global climate change such as global warming and more frequent climate extremes. Countries worldwide have proposed carbon neutrality strategies to curb the rising CO_(2) concentrations. To investigate the impact of China's carbon neutrality goal on atmospheric CO_(2) concentrations, we conducted a series of ideal simulations from 2015 to 2019 using a global 3D chemistry transport model, Goddard Earth Observing system Chemistry(GEOS-Chem). Compared with the column-averaged dry-air mole fraction of atmospheric CO_(2) (XCO_(2) ) from Orbiting Carbon Observatory-2(OCO-2) and surface CO_(2) measurements in Obs Pack, we find that GEOS-Chem effectively reproduces the spatiotemporal variability of CO_(2) . The model exhibits a root mean square error(RMSE) of 1.51 ppm(R^(2)=0.89) for OCO-2 XCO_(2) in China and 2.65 ppm(R^(2)=0.75) for surface CO_(2) concentrations at the WLG station. Further, compared to 2.83 ppm yr^(-1)in the control experiment, we suggest that net-zero CO_(2) emissions in China decelerate the increasing trends of XCO_(2) to 1.81 ppm yr^(-1),making a decrease of approximately 35.89%. Meanwhile, the seasonal cycle amplitude(SCA) of XCO_(2) is moderately reduced from 7.39±0.81 to 6.75±0.70 ppm, representing a relative reduction of 9.91%. Spatially, net-zero CO_(2) emissions induce a more significant decrease in XCO_(2) trends over northern and southern China, while their impact on SCA is more evident in northern and northeastern China. Moreover, ideal experiments demonstrate that zero fossil CO_(2) emissions lead to a greater attenuation of the linear trends of XCO_(2) by 40.81%, while the absence of terrestrial CO_(2) sinks largely diminishes the SCA by 16.61%. Additionally,trends and SCA in surface CO_(2) concentrations exhibit almost identical decreasing responses to net-zero CO_(2) emissions but display greater sensitivities compared to XCO_(2) . Overall, our study underscores the pote

关键词： XCO_(2) GEOS-Chem Carbon neutrality Net-zero emissions Surface CO_(2)concentrations

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STUDY ON THE PERMEATION MECHANISM OF HOLLOW FIBER MEMBRANES

STUDY ON THE PERMEATION MECHANISM OF HOLLOW FIBER MEMBRANES

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2024 CSAA/IET International Conference on Aircraft Utility systems, AUS 2024

作者： Zhou, Yu Wang, Yangyang Fuel System Department Nanjing Engineering Institute of Aircraft Systems AVIC Nanjing China The Aviation Electromechanical System Integration of Aviation Science and Technology Key Laboratory Nanjing China

After the fiber membrane material is determined, the aircraft is more concerned about the flow rate of nitrogen-rich gas under a certain nitrogen-rich gas (NEA) concentration, thereby determining the inerting time of the fuel tank. This paper mainly introduces the separation principle and related parameters of fiber membranes, as well as the types and separation performance of different fiber membranes. The asymmetric polyimide membrane, which is more commonly used in airborne nitrogen inerting, is used to verify the effects of different temperatures, pressures, and altitudes on the separation efficiency of the fiber membranes through experiments. The results of the research can provide a basis for the design of subsequent high-efficiency hollow fiber membranes. © The Institution of engineering & technology 2024.

关键词： Nafion membranes

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PPDO:a privacy-preservation-aware delay optimization task-offloading algorithm for collaborative edge computing

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Frontiers of information technology & Electronic engineering 2025年第1期26卷 27-41页

作者： Chao JING Jianwu XU College of Computer Science and Engineering Guilin University of TechnologyGuilin 541004China Guangxi Key Laboratory of Embedded Technology and Intelligent System Guilin 541004China

Although collaborative edge computing(CEC)systems are beneficial in enhancing the performance of mobile edge computing(MEC),the issue of user privacy leakage becomes prominent during task *** address this issue,we design a privacy-preservation-aware delay optimization task-offloading algorithm(PPDO)in a CEC *** considering location and usage pattern privacy protection,we establish a privacy task model to interfere with the edge server and ensure user *** address the extra delay arising from privacy protection,we subsequently leverage a Markov decision processing(MDP)policy-iteration-based algorithm to minimize delays without compromising *** simultaneously accelerate the MDP operation,we develop an extension that improves the PPDO by optimizing the action ***,a comprehensive simulation was conducted using the edge user allocation(EUA)*** results demonstrated that PPDO achieves an optimal trade-off between privacy protection and delay with a minimum delay compared with existing ***,we examined the advantages and disadvantages of improving PPDO.

关键词： Collaborative edge computing Task offloading Privacy protection Markov decision process

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Multi-Label Text Classification for Judicial Texts via Dual Graph and Label Feature Fusion 10

Multi-Label Text Classification for Judicial Texts via Dual ...

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10th IEEE Smart World Congress, SWC 2024

作者： Gu, Qiliang Lu, Qin Shandong Engineering Research Center of Big Data Applied Technology Faculty of Computer Science and Technology Jinan China Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Industrial Network and Information System Security Jinan China

ISBN: (纸本)9798331520861

The legal judgement prediction (LJP) of judicial texts represents a multi-label text classification (MLTC) problem, which in turn involves three distinct tasks: the prediction of charges, legal articles, and terms of penalty. Nevertheless, extant multi-label text classification models tend to eschew the consideration of multiple correlations and semantic information between labels when predicting judicial texts, which may result in the loss of pertinent information. Furthermore, these models do not take full advantage of the local and overall information of the labels in the process of selecting appropriate labels for the text using the multi-head attention mechanism. To address these issues, we propose a new model, BGFLFF, which explores label correlation and semantics among the three tasks by employing Graph Convolutional Network (GCN) and multi-head attention mechanisms. In particular, we propose a Bi-Graph Fusion GCN (BGF-GCN), which fuses the co-occurrence matrix of labels with the cosine similarity matrix, thereby fully exploiting the multiple correlations between labels. Furthermore, prior to embedding the tags, the interpretations of the labels are obtained via Google in order to enhance the semantic information between the labels. To further reinforce the interconnections between labels and text and more effectively comprehend the interrelationships between the three tasks, we propose a Multi-Head Label Feature Fusion Attentional Mechanism (MH-LFFAtt), which assigns distinct weights to the pertinent label information in the text by fusing the local and overall features of the labels. The experimental results demonstrate that the F1 score exhibits an improvement of up to 2. 2 8 % and a minimum of 1. 2 9 % across the various tasks of the two datasets. This evidence substantiates the assertion that BGFLFF outperforms the existing baseline model. © 2024 IEEE.

关键词： Semantics

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Research on Enhanced Perception and Attention-Driven Person Re-Identification 20

Research on Enhanced Perception and Attention-Driven Person ...

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20th International Conference on Natural Computation, Fuzzy systems and Knowledge Discovery, ICNC-FSKD 2024

作者： Wu, Cancan Li, Dong Zhang, Zhi College of Computer Science and Technology Wuhan University of Science and Technology Hubei Wuhan430065 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Hubei Wuhan430065 China Big Data Science and Engineering Research Institute Wuhan University of Science and Technology Hubei Wuhan430065 China

ISBN: (纸本)9798350356328

When matching similarity among pedestrians in images, pedestrian re-identification algorithms are often disturbed by occlusions. A typical tactic is to improve the robustness of occlusion features in the model. However, this approach neglects the noise introduced by other pedestrians in the image, leading to limited learning of relevant information between images. To address these issues, this paper introduces a pedestrian re-identification model that leverages perception-enhanced and attention mechanisms. By enhancing the perception of non-pedestrian noise and erasing non-pedestrian features, we then employ a cross-attention mechanism to subtly embed global and local features for finer feature recognition. Finally, through context attention, we learn the interaction between pedestrian images to improve re-identification accuracy. Results from studies performed on the Market-1501, CUHK03-D, and Duke-ReID datasets indicate that the suggested model surpasses leading contemporary models regarding Rank-1 scores and mean Average Precision (mAP), while maintaining good robustness. © 2024 IEEE.

关键词： Reamers

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Data-induced learning control for unknown nonlinear systems with full-tracking performances

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science China(information sciences) 2025年

作者： Changxin LU Deyuan MENG Hongyi LI School of Automation Science and Electrical Engineering Beihang University (BUAA) State Key Laboratory of CNS/ATM Seventh Research Division Beihang University (BUAA) College of Electronic and Information Engineering Southwest University Chongqing Key Laboratory of Generic Technology and System of Service Robots Southwest University

In tackling the challenge of achieving high control accuracy while refining control effort in unknown nonlinear systems, this paper presents a novel data-induced learning control (DiLC) method. The DiLC method marks the inaugural use of operational data to iteratively update controller parameters for unknown nonlinear systems, thereby achieving full-tracking performances over the entire operation time interval. The DiLC method enriches the traditional iterative learning control(ILC) paradigm by integrating a feedback control-based approach. This integration enables exploratory trials during the initial iteration process and facilitates the online collection and iterative utilization of operational data from actual operations,thus gradually enhancing control accuracy. Furthermore, it offers a significant advantage over prevalent finite/fixed-time and prescribed performance methods in repeatable tasks. Inspired by leveraging operational data, it effectively mitigates the constraints imposed on the system and adjustment parameters by existing methods, hence providing a more flexible and efficient solution. The efficiency of the DiLC method in accuracy evolution is proven through error reduction profiles,confirming its prospect for full-tracking performances in unknown nonlinear systems.

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An Infrared and Visible Image Fusion Approach of Self-calibrated Residual Networks and Feature Embedding

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Recent Advances in Computer science and Communications 2023年第2期16卷 2-13页

作者： Dai, Jinpeng Luo, Zhongqiang Li, Chengjie School of Automation and Information Engineering Sichuan University of Science and Engineering Yibin644000 China Artificial Intelligence Key Laboratory of Sichuan University of Science and Engineering Yibin644000 China School of Computer Science and Technology Southwest Minzu University Chengdu610041 China

Background: The fusion of infrared images and visible images has been a hot topic in the field of image fusion. In the process of image fusion, different methods of feature extraction and processing will directly affect the fusion performance. Objectives: Low resolution (small size) of high-level features will lead to the loss of spatial information. On the other side, the low-level features are not significant due to their insufficient filtering of background and noise. Methods: In order to solve the problem of insufficient feature utilization in existing methods, a new fusion approach (SC-Fuse) based on self-calibrated residual networks (SCNet) and feature embedding has been proposed. The method improves the quality of image fusion from two aspects: feature extraction and feature processing. Results: First, self-calibrated modules are applied to the field of image fusion for the first time, which enlarged the receptive field to make feature maps contain more information. Second, we use ZCA (Zero-phase Component Analysis) and l1-norm to process features, and propose a feature embedding operation to realize the complementarity of feature information at different levels. Conclusion: Finally, a suitable strategy is given to reconstruct the fused image. After ablation experiments and comparison with other representative algorithms, the results show the effectiveness and superiority of SC-Fuse. © 2023 Bentham science Publishers.

关键词： Image reconstruction

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Cyclic Transfer Learning for Mandarin-English Code-Switching Speech Recognition

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IEEE Signal Processing Letters 2023年 30卷 1387-1391页

作者： Nga, Cao Hong Vu, Duc-Quang Luong, Huong Hoang Huang, Chien-Lin Wang, Jia-Ching National Central University Department of Computer Science and Information Engineering Taoyuan320 Taiwan Thai Nguyen University of Education Department of Computer Science and Information System Thai Nguyen7905218 Viet Nam Fpt University Department of Information Technology Can Tho900000 Viet Nam National Cheng Kung University Department of Computer Science and Information Engineering Tainan701 Taiwan

Transfer learning is a common method to improve the performance of the model on a target task via pre-training the model on pretext tasks. Different from the methods using monolingual corpora for pre-training, in this study, we propose a Cyclic Transfer Learning method (CTL) that utilizes both code-switching (CS) and monolingual speech resources as the pretext tasks. Moreover, the model in our approach is always alternately learned among these tasks. This helps our model can improve its performance via maintaining CS features during transferring knowledge. The experiment results on the standard SEAME Mandarin-English CS corpus have shown that our proposed CTL approach achieves the best performance with Mixed Error Rate (MER) of 16.3% on testman, 24.1% on testsge. In comparison to the baseline model that was pre-trained with monolingual data, our CTL method achieves 11.4% and 8.7% relative MER reduction on the testman and testsge sets, respectively. Besides, the CTL approach also outperforms compared to other state-of-the-art methods. © 1994-2012 IEEE.

关键词： Speech recognition

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A decoupling three-dimensional motion control algorithm for spherical underwater robot

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Biomimetic Intelligence & Robotics 2022年第3期2卷 50-58页

作者： Pengxiao Bao Yao Hu Liwei Shi Shuxiang Guo Zhengyu Li Key Laboratory of Convergence Medical Engineering System and Healthcare Technology Ministry of Industry and Information TechnologySchool of Life ScienceBeijing Institute of TechnologyBeijing 100081China Faculty of Engineering Kagawa UniversityHayashi-choTakamatsu 2217-20Japan

Underwater spherical robots are good assistants for ocean exploration,where motion control algorithms play a vital *** motion control algorithms cannot eliminate the coupling relationship between various motion directions,which will cause the motion control of various directions to interfere with one other and significantly affect the control *** study proposes a new decoupling motion control algorithm based on the robot attitude calculation for an underwater spherical robot designed for offshore,shallow water,and narrow *** proposed method uses four fuzzy proportional-integral-derivative(PID)controllers to independently control the robot’s movement in all *** show that the motion control algorithm proposed in this study can significantly improve the flexibility and accuracy of the movement of underwater spherical robots.

关键词： Motion control algorithm Decoupling control Spherical underwater robots Fuzzy PID

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A Portable Surgeon's Habits-based Master Manipulator for Vascular Interventional Surgery Robots 20

A Portable Surgeon's Habits-based Master Manipulator for Vas...

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20th IEEE International Conference on Mechatronics and Automation, ICMA 2023

作者： Zhao, Duohao Guo, Shuxiang Lyu, Chuqiao Yan, Yonggan Lin, Zhijun Beijing Institute of Technology The Key Laboratory of Convergence Biomedical Engineering System and Healthcare Technology The Ministry of Industry and Information Technology Beijing100081 China Southern University of Science and Technology The Department of Electronic and Electrical Engineering Guangdong Shenzhen518055 China

ISBN: (纸本)9798350320831

The emergence of vascular interventional surgery robot (VISR) has brought good news to patients. However, the current research on the master manipulator is still in its infancy. Nowadays, the shortcomings of the developed master manipulator include poor portability, lack of tactile feedback devices, not in line with surgeon's operating habits and so on. In order to solve the above problems, a novel master manipulator is proposed in this paper. In order to realize the linear displacement measurement of the operating handle, a linear displacement measurement (LDM) unit based on rollers was proposed. By using the brushed DC motor and the bevel gears, the angular displacement measurement (ADM) unit and the circumferential force feedback (CFF) unit were designed. The decoupling of the operating rod and the rotating rod facilitated the portability of the proposed manipulator. Evaluation experimental results showed that the maximum linear error of the master manipulator was 0.296mm and the maximum angular displacement error was 7.66 degrees, which is acceptable. Moreover, the mathematical relationship between the circumferential force generated by the CFF and the input current was also obtained. To sum up, compared with other master manipulators, the proposed master manipulator is shown to be better and more promising. © 2023 IEEE.

关键词： Manipulators

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