检索结果-内蒙古大学图书馆

Forest Mercury Deposition Observation in Chongqing: Evaluating Effectiveness of Mercury Pollution control over the Past Decade in Southwestern China

ACS ES&T Air

引用

ACS ES&T Air 2025年第2期2卷 286-294页

作者： Ziyi Zhan Dongwei Lv Huang Zhou Qingru Wu Yuying Cui Lei Duan State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University 100084 Beijing China School of the Environment Nanjing University 210023 Nanjing China State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University 100084 Beijing China；State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Tsinghua University 100084 Beijing China

As the largest Hg reservoir in terrestrial ecosystems, forests provide valuable insights into atmospheric Hg levels through observations of mercury deposition. In this study, we conducted a one-year observation of Hg deposition, by both throughfall and litterfall, in a forest located in Chongqing, an industrial hub in southwestern China, in 2021. We compared the results with observations made at the same sampling site in 2010–2011. The results showed that there were significant decreases in both Hg concentrations (from 115 μg·kg–1to 80.2 μg·kg–1for litterfall and from 68.4 ng·L–1to 4.01 ± 2.09 ng·L–1for throughfall) and Hg deposition fluxes (from 89.8 μg·m–2·yr–1to 19.9 μg·m–2·yr–1for total deposition, decreasing by 77.8%) in the forest from 2010 to 2021. The decrease in deposition might result from the synergistic effect of reduction in both anthropogenic (inventory-listed or nonquantitative) and re-emission sources. Over the decade since the initiation of theMinamata Convention on Mercury, atmospheric Hg levels have decreased significantly, mainly due to the co-benefits of conventional air pollutant control, indicating the effectiveness of China’s Hg pollution control policies.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Secure Containment control for Multi-UAV Systems by Fixed-Time Convergent Reinforcement Learning

引用

IEEE TRANSACTIONS ON CYBERNETICS 2025年第4期55卷 1981-1994页

作者： Yang, Feisheng Gong, Zhenyu Wei, Qinglai Lei, Yifei Northwestern Polytech Univ Sch Automat Xian 710129 Shaanxi Peoples R China Northwestern Polytech Univ Chongqing Sci & Technol Innovat Ctr Chongqing 401135 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing 100049 Peoples R China

This article concerns the secure containment control problem for multiple autonomous aerial vehicles. The cyber attacker can manipulate control commands, resulting in containment failure in the position loop. Within a zero-sum graphical game framework, secure containment controllers and malicious attackers are regarded as game players, and the attack-defense process is recast as a min-max optimization problem. Acquiring optimal distributed secure control policies requires solving the game-related Hamilton-Jacobi-Isaacs (HJI) equations. Based on the critic-only neural network (NN) structure, the reinforcement learning (RL) method is employed in solving coupled HJI equations. The fixed-time convergence technique is introduced to improve the convergence rate of RL, and the experience replay mechanism is utilized to relax the persistence of excitation condition. The associated NN convergence and closed-loop stability are analyzed. In the attitude loop, the optimal feedback control law is obtained by solving Hamilton-Jacobi-Bellman equations using the fixed-time convergent RL method. The simulation example and the quadrotor experiment are given to show the effectiveness of the proposed scheme.

关键词： Autonomous aerial vehicles Convergence Games Game theory Process control Heuristic algorithms Vectors Convex hulls Automation Multi-agent systems Cooperation fixed-time reinforcement learning (RL) secure control autonomous aerial vehicle zero-sum game

来源：评论

学校读者我要写书评

暂无评论

Learning latent causal factors from the intricate sensor feedback of contact-rich robotic assembly tasks

引用

ROBOTICS AND AUTONOMOUS SYSTEMS 2025年 183卷

作者： Chen, Yurou Yu, Jiyang Lin, Zhenyang Shen, Liancheng Liu, Zhiyong Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing Peoples R China Chinese Acad Sci Ctr Excellence Brain Sci & Intelligence Technol Shanghai Peoples R China China Acad Space Technol Beijing Inst Spacecraft Syst Engn Beijing Peoples R China

Achieving precise robotic assembly is paramount for safety and performance in industrial settings. Conventional assembly methods require tedious manual adjustment of many parameters, and it is challenging to meet the assembly requirements with tight clearance. Robot learning has been at the forefront of research, showing potential for automation and intelligence in robotic operations. However, intricate information such as force feedback is indispensable for high-precision robot assembly tasks, and current learning methods grapple with processing this complex observation data due to discontinuous force changes during operation and the inherent noise from the force sensor. To enhance learning efficiency amidst challenging observations, this paper proposes introducing the concept of latent causal factors that drive sensor observations and hold paramount significance in assembly tasks. This paper analyses the impact of discontinuous and noisy observations and offers two ways to infer causal factors. Based on the implied latent factors, we propose a method that learns high- precision assembly policies from interacting with the environment. The algorithm's performance is evaluated in simulated and real-world nut insertion environments, demonstrating significant improvements over the previous methods. This research also underscores the promise of causal inference in addressing industrial challenges.

关键词： Causal inference Reinforcement learning Robotic manipulation Nut insertion

来源：评论

学校读者我要写书评

暂无评论

Vision-Based Road Segmentation With Active Gaze control for Autonomous Vehicles

引用

IEEE-ASME TRANSACTIONS ON MECHATRONICS 2025年

作者： Xuan, Yuwen Chen, Jicheng Liu, Bin Wan, Xin Wen, Kai Chen, Long Zhang, Hui China Univ Petr Coll Mech & Transportat Engn Beijing 102249 Peoples R China Beihang Univ Sch Transportat Sci & Engn Beijing 102206 Peoples R China Beijing Inst Petrochem Technol Sch Informat Engn Beijing 102617 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China

In this article, we aim to enhance the accuracy and usefulness of vision-based road segmentation for autonomous vehicles across various scenarios by actively controlling the gaze of the camera. The camera is mounted on a pan-tilt with two degrees of freedom as azimuth and elevation. The control of the azimuth is a follow-up PID control method mimicking the preview mechanism of human drivers. It is mainly used to improve the usefulness of the road segmentation in turning conditions. The control of the elevation is mainly used to improve the accuracy of the road segmentation in extreme external conditions, at the same time, taking into consideration of the usefulness. The elevation control method is inspired by the saccade-fixation mechanism of human eyes that scans the surrounding environment in the saccade mode and focuses on the object of interesting in the fixation mode. Similarly, the active camera will capture images of the current scene at different candidate elevations and select the optimal elevation. Experimental results demonstrate that the proposed active gaze control method effectively improves the performance of various road segmentation techniques under challenging conditions such as toward-light scenarios, U-turns, and low-speed situations.

关键词： Active vision bird's-eye-view (BEV) features preview point road segmentation

来源：评论

学校读者我要写书评

暂无评论

LLM-Driven Cognitive Modeling for Personalized Travel Generation

引用

IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS 2025年

作者： Ge, Shichao Ye, Peijun Zhang, Renrui Zhou, Min Dong, Hairong Wang, Fei-Yue Beijing Jiaotong Univ Sch Automation & Intelligence Beijing 100044 Peoples R China Chinese Acad Sci Inst Automation Beijing 100190 Peoples R China Chinese Acad Sci Inst Automation State Key Lab Multimodal Artificial Intelligence S Beijing 100190 Peoples R China Shandong Univ Sci & Technol Coll Elect Engn & Automation Qingdao 266590 Peoples R China Chinese Acad Sci Inst Automation State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China

Traditional cognitive travel modeling typically employs a unified cognitive model to simulate representative travel behaviors, which may usually result in a weak characterization of user heterogeneity in paths, modes, and other factors. Large language model (LLM), by contrast, has significantly enhanced the anthropomorphic and personalized features of intelligent systems. To integrate their advantages, this article proposes LLM-driven cognitive modeling to generate more diverse and personalized travel demands. The new method sufficiently exploits LLM such as the llama as a basis and provides personalized travel plans so that more heterogenous travel demands could be generated. Additionally, introducing LLM into cognitive modeling can significantly reduce the time of model development, thus accelerating the research or engineering deployment. By calibrating and testing with one month's data from public transportation (buses and subways) in Beijing, our method, compared to traditional cognitive models, not only achieves better accuracy in reproducing typical travel patterns, but also generates more diverse ones, providing a more comprehensive input for computational experiments on traffic management and control strategies.

关键词： Computational modeling Decision making Accuracy Planning Automation Computer architecture Traffic control Memory modules Cognition Adaptation models Agent-based model (ABM) cognitive model large language model (LLM) travel behavior

来源：评论

学校读者我要写书评

暂无评论

Cardiovascular Outcomes in Patients with complex Type 2 Diabetes Mellitus Treated with the Dual SGLT Inhibitor Sotagliflozin: A Meta-analysis

引用

DIABETES THERAPY 2025年第3期16卷 485-498页

作者： Wang, Hong Zu, Quannan Lu, Ming Chen, Rongfa Tang, Zhangui Yang, Zhiren Peoples Hosp Guangxi Zhuang Autonomous Reg Dept Cardiol Nanning 530021 Guangxi Peoples R China Tianjin Univ Coll Management & Econ Tianjin 300072 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Huazhong Univ Sci & Technol Inst Cardiovasc Dis Tongji Med Coll Dept Endocrinol Wuhan 430032 Hubei Peoples R China

IntroductionScientific publications have shown sodium-glucose co-transporter-2 (SGLT2) inhibitors to have several beneficial effects in patients with complex type 2 diabetes mellitus (T2DM). However, sodium-glucose co-transporter-1 (SGLT-1) inhibitor is still under investigation in clinical trials. Recently, a dual inhibitor of sodium-glucose co-transporter (SGLT1/2), sotagliflozin, has been approved for use in patients with T2DM. In this analysis, we aimed to systematically compare the cardiovascular outcomes in patients with complex T2DM who were treated with the newly approved dual (SGLT 1 and 2) inhibitor *** databases, including Embase, MEDLINE, http://***, Web of Science, Google Scholar, the Cochrane database, and reference lists of relevant publications, were searched for publications comparing the novel SGLT1/2 inhibitor versus placebo for the treatment of patients with complex T2DM. The primary endpoint, including total number of deaths from cardiovascular causes, hospitalization for heart failure, and urgent visits for heart failure, death from cardiovascular causes, cardiac mortality, hospitalization for heart failure, non-fatal myocardial infarction, and total number of cardiac events, were considered as the endpoints in this analysis. The RevMan software version 5.4 was used to carry out the statistical analysis. Risk ratios (RR) with 95% confidence intervals (CI) were used to represent the data following *** total of 13,054 participants enrolled between 2017 and 2020 were included in this analysis, with 6734 participants assigned to sotagliflozin and 6320 assigned to placebo. The results of this analysis showed that the primary endpoint was significantly in favor of sotagliflozin with (RR: 0.73, 95% CI 0.67-0.80;P = 0.00001). Hospitalization for heart failure (RR: 0.67, 95% CI 0.60-0.75;P = 0.00001) and the total number of cardiac events (RR: 0.73, 95% CI 0.67-0.79;P = 0.00001) were also sign

关键词： Dual SGLT inhibitor Sotagliflozin Diabetes mellitus Heart failure Cardiovascular mortality Chronic kidney disease

来源：评论

学校读者我要写书评

暂无评论

Exploring Token-Level Augmentation in Vision Transformer for Semi-Supervised Semantic Segmentation

引用

IEEE SIGNAL PROCESSING LETTERS 2025年 32卷 1885-1889页

作者： Zhang, Dengke Tang, Quan Liu, Fagui Mei, Haiqing Chen, C. L. Philip South China Univ Technol Sch Comp Sci & Engn Guangzhou 510006 Peoples R China Pengcheng Lab Dept New Network Shenzhen 518000 Peoples R China China Tobacco Guangdong Ind Corp Guangzhou 510385 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100080 Peoples R China

Semi-supervised semantic segmentation has witnessed remarkable advancements in recent years. However, existing algorithms are based on convolutional neural networks, and directly applying them to Vision Transformers poses certain limitations due to conceptual disparities. To this end, we propose TokenSwap, a data augmentation technique designed explicitly for semi-supervised semantic segmentation with Vision Transformers. TokenSwap aligns well with the global attention mechanism by mixing images at the token level, enhancing the learning capability for contextual information among image patches and the utilization of unlabeled data. We further incorporate image augmentation and feature augmentation to promote the diversity of augmentation. Moreover, to enhance consistency regularization, we propose a dual-branch framework where each branch applies image and feature augmentation to the input image. We conduct extensive experiments across multiple benchmark datasets, including Pascal VOC 2012, Cityscapes, and COCO. Results suggest that the proposed method outperforms state-of-the-art algorithms with notably observed accuracy improvement, especially under limited fine annotations.

关键词： Training Decoding Computational modeling Data models Semantic segmentation Computer vision Transformers Predictive models Optimization Image augmentation Dual-branch framework semi-supervised segmentation token swap vision transformer

来源：评论

学校读者我要写书评

暂无评论

A Velocity Tracking Approach Based on Neural Networks for a Multimodal Wheel-Legged Composite Gait on a Parallel Structure Robot

引用

IEEE/ASME Transactions on Mechatronics 2025年

作者： Xue, Junfeng Wang, Shoukun Xu, Yongkang Wang, Junzheng Beijing Institute of Technology School of Automation State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing100081 China

Parallel-legged robots are favored by many researchers due to their potent environmental adaptability and load capacity. However, the work efficiency of the parallel leg structure is always confined due to its uptight workspace and extremely uneven force distributed among actuators. Therefore, this article proposes a new type of wheel-legged composite gait for the parallel structure, inspired by the characteristic of variation in the pitch angle of the foot-end when a human walks. First, the kinematic inverse solution of the wheel-legged composite gait is derived, where the reverse rotation of the wheel alleviates the slipping phenomenon of the foot-end on stance stage in humanoid gait from the kinematic level. Meanwhile, numerical simulation and experiments have verified that the proposed gait can enlarge the workspace of a single leg for 25.4% and alleviate the maximum force on the actuators for 16.4% minimizing actuator wear. Besides, a legged motion speed tracking approach is implemented for dynamics of the wheel-legged composite gait. Among them, a whole body dynamics model is constructed to adjust the neural network weights enabling real-time adjustment of incremental proportion–integration–differentiation control parameters based on the foot longitudinal force, to scale up its control efficiency. Finally, to ameliorate the issue of limited contact friction between the robot and the ground, an encoding approach to identify the sliding state of the robot's foot-end in the X-Y plane has been proposed. This approach adaptively modifies both the longitudinal force threshold of the foot-end and the desired linear velocity of the robot body. These adjustments are guided by specific control rules, which aim to enhance the accuracy of speed tracking during legged motion across varying terrains. The resulting linear and yaw velocity steady errors are constrained to 0.05 m/s and 0.012 rad/s, respectively. © 1996-2012 IEEE.

关键词： Anthropomorphic robots

来源：评论

学校读者我要写书评

暂无评论

Influence of real-time engineering temperature on mechanical behavior and failure mechanism of granite in a tunnel in Southwestern China

引用

Bulletin of Engineering Geology and the Environment 2025年第6期84卷 1-19页

作者： Zhang, Yan Gao, Meiben Xu, Zhongyuan Ma, Chunchi Gao, Yaohui Key Laboratory of Landslide Risk Early-Warning and Control Ministry of Emergency Management Chengdu University of Technology Sichuan Chengdu 610059 China State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Chengdu University of Technology Sichuan Chengdu 610059 China Faculty of Geosciences and Environment Engineering Southwest Jiaotong University Sichuan Chengdu 610031 China State Key Laboratory of Geomechanics and Geotechnical Engineering Institute of Rock and Soil Mechanics Chinese Academy of Sciences Wuhan 430071 China Key Laboratory of Ministry of Education On Safe Mining of Deep Metal Mines Northeastern University Liaoning 110819 China

At present, there is relatively little attention paid to the rock mechanics properties within the engineering temperature range and under small temperature gradients. Combining uniaxial compression tests with particle flow code (PFC) simulations, this study investigates the temperature strengthening mechanism of granite within 20–80 °C. The research reveals a fundamental transition in failure patterns: macroscopic failure modes shift from shear-dominated to tensile-dominated mechanisms as temperature increases, accompanied by microstructural evolution showing smoother fracture surfaces and enhanced intergranular fracture characteristics. Notably, thermal expansion-induced negative strain promotes advantageous strain energy accumulation, which optimizes particle contact relationships and improves frictional properties within the granite matrix. These microstructural enhancements manifest as improved macroscopic mechanical performance, including increased elastic modulus and peak strength, demonstrating a distinctive negative thermal damage phenomenon where moderate heating strengthens rock integrity. A thermal–mechanical-damage statistical constitutive model is developed, with parameter evolution analysis providing mechanistic insights. The findings advance understanding of thermal effects in rock mechanics and offer practical implications for engineering rock mass stability assessment under thermal–mechanical coupling conditions. © The Author(s) 2025.

关键词： Constitutive model Engineering temperature Fracture mechanism Granite Temperature effect

来源：评论

学校读者我要写书评

暂无评论

Rethinking Appearance-Based Deep Gait Recognition: Reviews, Analysis, and Insights From Gait Recognition Evolution

引用

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2025年 PP卷 PP页

作者： Li, Jingqi Zhang, Yuzhen Zeng, Yi Ye, Changxin Xu, Wenzheng Ben, Xianye Wang, Fei-Yue Zhang, Junping Fudan Univ Sch Comp Sci Shanghai 200433 Peoples R China Shandong Univ Shenzhen Res Inst Shenzhen 518063 Peoples R China Shandong Univ Sch Informat Sci & Engn Jinan 250100 Peoples R China Obuda Univ DeSci Ctr Parallel Intelligence H-1034 Budapest Hungary Macau Univ Sci & Technol Intelligent Syst Robot & Automat Lab Macau Peoples R China CASIA State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China

Gait recognition is a prominent biometric recognition technique extensively employed in public security. Appearance-based and model-based gait recognition are two categories of methods commonly used. Specifically, appearance-based methods, which use silhouettes to represent body information, typically outperform model-based methods that rely on skeleton data, making them more popular. Recently, the shift from single-frame templates to multiframe silhouettes has advanced appearance-based gait recognition with better spatiotemporal representation. However, there is a notable lack of comprehensive studies that deepen the understanding of multiframe appearance-based gait recognition methods. This article reviews various methods to trace the evolution of gait recognition. Furthermore, we unify various performant models in one framework, study the overlooked effects on data arrangement, and explore the scaling ability of existing methods. Besides the advancement in gait recognition, we also summarize the current challenges and future prospects to foster future research.

关键词： Gait recognition Feature extraction Data models Reviews Training Skeleton Shape Analytical models Deep learning Clothing Appearance-based biometric deep learning gait recognition GaitBase

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：