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SSRN 2023年

作者： Lin, Bowen Ma, Xiaofeng Zhong, Ming Laboratory of Transport Pollution Control and Monitoring Technology China Intelligent Transportation Systems Research Center Wuhan University of Technology China National Engineering Research Center for Water Transport Safety China

With the continuous development of waterway transportation, the number and tonnage of inland waterway ships are increasing, and water pollutants such as domestic sewage, oil sewage, and domestic garbage generated by ships are increasing. The discharge and improper disposal of water pollutants from ships can cause serious harm to the water environment, so the precise measurement of the amount of water pollutants to be delivered from ships and the evaluation of the reception and disposal of water pollutants from ships in the inland river has gradually attracted the attention of management departments. To address this issue, a novel method is proposed to measure the amount of water pollutants to be delivered from inland waterway ships based on ship inbound and outbound data. Combining with the Bossel sustainable development targeting indicator framework, a system for determining the imbalance of water pollutant reception facilities in port areas was developed. Finally, an inland river port is selected as an example to measure the amount of water pollutants to be delivered and to evaluate the imbalance of water pollutant reception facilities. The result shows that the method proposed in this paper provides a new concept for the problems of measuring the amount of water pollutants to be delivered from inland river ships and evaluating the balance between supply and demand of water pollutants to be delivered from ships and the receiving and disposal capacity. Additionally, reference implications for building sustainable, eco-friendly ports can be attained. © 2023, The Authors. All rights reserved.

关键词： Sewage

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Cross-Camera Multi-Person Re-Identification Based on Local-Global Dynamic Feature Matching

SSRN

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SSRN 2023年

作者： Zhou, Yanmin Chen, Wenji Li, Jie Zhang, Shiyuan Wang, Yixiang Lu, Ping He, Bin Department of Control Science & Engineering College of Electronics & Information Engineering Tongji University Shanghai201804 China National Key Laboratory of Autonomous Intelligent Unmanned Systems Shanghai201210 China Frontiers Science Center for Intelligent Autonomous Systems Shanghai201210 China Tongji University China

Cross-camera pedestrian tracking continuously tracks pedestrians in a monitoring network composed of multiple cameras. Due to the large degree of freedom of the human body and the influence of the environment variations, the pedestrian recognition is challenging for such tasks. We propose a method of dynamically matching local features of horizontal and vertical stripes (DFM+) to automatically align pedestrian features and obtain more stable pedestrian appearance features. In addition, we design a three-branched local-global dynamic feature matching network (3bDFM-Net) framework including the person orientation, and the local and global branches for cross-camera multi-person re-identification (ReId). Experiment results show that the accuracy of cross-camera multi-person tracking is improved by introducing the pedestrian orientation. The Rank-1 accuracies on the Market1501 and DukeMTMCReID datasets reach 96.2% and 90.1%, respectively. Further tests verified its capabilities of cross-camera tracking of pedestrians in the surveillance video of real scenes. © 2023, The Authors. All rights reserved.

关键词： Cameras

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Estimation of Ship Waste to Be Delivered and Imbalance Analysis between Ship Waste Supply and Demand in Inland Waterways

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SSRN 2023年

Ship waste causes serious harm to the inland waterway environment, so the precise measurement to calculate the amount of ship waste ships and evaluate the efficiency in the receipt and disposal of ship waste in the inland waterway has gradually attracted the attention of management departments. To address this issue, a novel method is proposed to measure the amount of waste to be delivered from inland waterway ships. Combining with the Bossel sustainable development directional indicator framework, a system for evaluating the imbalance of waste supply and demand in inland waterways was developed. Finally, an inland river port in the Yangtze River is selected as an example, the results show that the amount of ship's domestic sewage, oily water, and domestic garbage to be delivered in the case area was 257.73 tons, 7.65 tons and 4.96 tons, respectively. The imbalance level of waste supply and demand is IV. © 2023, The Authors. All rights reserved.

关键词： Economics

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Development of a 3-RRS Micromanipulator Based on Origami-Inspired Spherical Joint

Development of a 3-RRS Micromanipulator Based on Origami-Ins...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Haoqi Han Xiaoming Liu Yan Chen Hao Pang Xiaoqing Tang Dan Liu Qiang Huang Tatsuo Arai Beijing Advanced Innovation Center for Intelligent Robots and Systems and School of Mechatronical Engineering Key Laboratory of Biomimetic Robots and Systems Ministry of Education State Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing China Department of Micro-Nano Electronics Shanghai Jiao Tong University China Center for Neuroscience and Biomedical Engineering The University of Electro-Communications Tokyo Japan

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

In recent years, micromanipulation technology has achieved extensive applications in industry and life science. Improving the precision and bandwidth of the micromanipulator and simultaneously reducing size, weight, and cost pose significant challenges to the existing micromanipulator design and fabrication methods. Here, we propose a 3-RRS micromanipulator with an origami-inspired spherical joint based on the PC-MEMS process, aiming for miniaturization and cost-effectiveness. The spherical joint allows rotations of 140° around the x-axis approximately, 140° around the y-axis approximately, and 20° around the z-axis approximately. The micromanipulator has weights of 0.8 g, dimensions of 16 mm × 16 mm × 22 mm, and workspace of 0.7 mm 3 . The end platform of the micromanipulator can be equipped with various effectors to accomplish different kinds of tasks. Experimental results validated its high precision and bandwidth, exhibiting its potential to perform intricate micromanipulation tasks.

关键词： Industries Fabrication Costs Micromanipulators Design methodology Bandwidth Life sciences

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Stable control and Disturbance Rejection Strategy for Planar 2R Underactuated Robot via intelligent Algorithm 48

Stable Control and Disturbance Rejection Strategy for Planar...

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48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

作者： Huang, Zixin Wan, Xiao Zhou, Yaosheng Wang, Lejun Wang, Liheng School of Electrical and Information Engineering Wuhan Institute of Technology Hubei Key Laboratory of Digital Textile Equipment Wuhan Textile University Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan Institute of Technology School of Electrical and Information Engineering Wuhan China Wuhan Institute of Technology School of Innovation and Entrepreneurship Wuhan China Chongqing University of Posts and Telecommunications Chongqing Key Laboratory of Complex Systems and Bionic Control Chongqing China

ISBN: (数字)9781665480253

ISBN: (纸本)9781665480253

Stable control and active disturbance rejection strategy is proposed for planar 2R underactuated robot via intelligent algorithm in this paper. At first, we build the dynamic model and describe the control characteristic. After that, we design PD controller for the active link. According to the underactuated constraint, we then optimize the parameters of controller by using the differential evolution algorithm (DEA), so that we can ensure the target states of all links could eventually be reached at the identical time. And the simulation results indicate the strategy is effective. © 2022 IEEE.

关键词： Disturbance rejection

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Impulsive control of Heterogeneous Multi-agent systems with Saturation Constraint and Time Delay

Impulsive Control of Heterogeneous Multi-agent Systems with ...

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Chinese Automation Congress (CAC)

作者： Ranran Jiao Bo Li Xiangyong Chen Xiaowei Jiang Hubei Key Laboratory of Advanced Control and Intelligent Automation of Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education School of Automation China University of Geosciences Wuhan China School of Finance Anhui University of Finance and Economics Bengbu China Key Laboratory of Complex systems and Intelligent Computing in Universities of Shandong Linyi University Linyi China School of Automation and Electrical Engineering Key Laboratory of Complex systems and Intelligent Computing in Universities of Shandong Linyi University Linyi China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

This paper addresses the problem of leader-following consensus in heterogeneous multi-agent systems (HMAS) with input saturation and communication delay. Given the practical differences between leader and follower dimensions, we design virtual leaders to address this problem by allowing actual leaders and followers to communicate with virtual leaders separately, thus enabling indirect communication between actual leaders and followers. Additionally, the control protocol proposed in this paper takes into account the effects of input saturation and time delay that exist in real communication. At last, a simulation example is presented to demonstrate the effectiveness of the designed control protocol.

关键词： Energy consumption Protocols Automation Event detection Delay effects control systems Delays Multi-agent systems

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Integrating mobile and fixed monitoring data for high-resolution PM2.5 mapping using machine learning

arXiv

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arXiv 2025年

作者： Xu, Rui Yao, Dawen Pian, Yuzhuang Cao, Ruhui Fu, Yixin Yang, Xinru Gan, Ting Liu, Yonghong School of Intelligent Systems Engineering Sun Yat-sen University Guangdong Shenzhen518107 China Guangdong Provincial Key Laboratory of Intelligent Transportation System Sun Yat-Sen University Guangzhou510275 China Guangdong Provincial Engineering Research Center for Traffic Environmental Monitoring and Control Guangdong Guangzhou510275 China

Constructing high resolution air pollution maps at lower cost is crucial for sustainable city management and public health risk assessment. However, traditional fixed-site monitoring lacks spatial coverage, while mobile low-cost sensors exhibit significant data instability. This study integrates PM2.5 data from 320 taxi-mounted mobile low-cost sensors and 52 fixed monitoring stations to address these limitations. By employing the machine learning methods, an appropriate mapping relationship was established between fixed and mobile monitoring concentration. The resulting pollution maps achieved 500-meter spatial and 5-minute temporal resolutions, showing close alignment with fixed monitoring data (+4.35% bias) but significant deviation from raw mobile data (-31.77%). The fused map exhibits the fine-scale spatial variability also observed in the mobile pollution map, while showing the stable temporal variability closer to that of the fixed pollution map (fixed: 1.12±0.73%, mobile: 3.15±2.44%, mapped: 1.01±0.65%). These findings demonstrate the potential of large-scale mobile low-cost sensor networks for high-resolution air quality mapping, supporting targeted urban environmental governance and health risk mitigation. © 2025, CC BY.

关键词： Environmental monitoring

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A SINS Error Correction Approach Based on Dual-Threshold ZV Detection and Cubature Kalman Filter

A SINS Error Correction Approach Based on Dual-Threshold ZV ...

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2023 IEEE International Conference on systems, Man, and Cybernetics, SMC 2023

作者： Xu, Ruijie Chen, Shichao Sun, Wenqiao Lv, Yisheng Luo, Jialiang Tang, Ying Institute of Automation Chinese Academy of Sciences College of Information Science & Technology Beijing University of Chemical Technology The State Key Laboratory for Management and Control of Complex System State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing China Institute of Automation Chinese Academy of Sciences The Center of National Railway Intelligent Transportation System Engineering and Technology China Academy of Railway Sciences Corporation Limited The State Key Laboratory for Management and Control of Complex System State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing China Transportation and Economics Research Institute The Center of National Railway Intelligent Transportation System Engineering and Technology China Academy of Railway Sciences Corporation Limited Beijing China Institute of Automation Chinese Academy of Sciences The State Key Laboratory for Management and Control of Complex System State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing China Institute of Automation Chinese Academy of Sciences China University of Geosciences Beijing School of Information Engineering The State Key Laboratory for Management and Control of Complex System State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing China Rowan University Department of Electrical and Computer Engineering Glassboro United States

ISBN: (纸本)9798350337020

Global Navigation Satellite systems (GNSS) can provide real-time positioning information for outdoor users, but cannot for indoor scenarios or heavily occluded outdoor scenarios. Strap-down Inertial Navigation System (SINS) are widely used to locate people in complex interior or heavily occluded outdoor scenarios due to its light weight and low power consumption. However, IMU of SINS are noisy, and the sampling data error is large, which is a divergence of the error with time. Therefore, it will generate a positioning accumulation error, which affects the final positioning accuracy. The problem of cumulative IMU errors is usually dealt with by Zero-Velocity Update (ZUPT). The zero-velocity detection part of basic ZUPT method usually uses a single threshold to determine the gait of pedestrian, which often has the problem of gait misjudgment and omission. To address these problems, this paper proposes a composite conditional detection method to solve the problem of misjudgment in the zero-velocity interval. In addition, we redesign the zero-velocity update algorithm and uses the Cubature Kalman filter (CKF) for pedestrian positioning error correction. The experimental results demonstrate that the proposed ZUPT method based on dual-threshold detection can better detect the interval between pedestrian motion and stationery than ones with single threshold. The zero-velocity update algorithm based on CKF has higher performance than conventional EKF and UKF methods, which constrains the cumulative error of SINS to about 0.2% of the whole walking distance. © 2023 IEEE.

关键词： Cubature Kalman Filter Inertial Pedestrian Navigation Zero-Velocity Update

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Disturbance Rejection in Lower-Limb Rehabilitation Robot with Parameter Uncertainties

Disturbance Rejection in Lower-Limb Rehabilitation Robot wit...

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intelligent systems, International Workshop on

作者： He Wang Jinhua She Feng Wang Juan Zhao Seiichi Kawata School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China School of Engineering Tokyo University of Technology Hachioji Tokyo Japan

ISBN: (数字)9798350353303

ISBN: (纸本)9798350353310

This paper presents a method integrated equivalent-input-disturbance (EID) and repetitive control (RC) to mitigate the effects of non-linearity and uncertainty in a pedaling rehabilitation robot. The repetitive controller is designed to ensure accurate steady-state tracking of periodic signal. Meanwhile, the EID estimator, combined with a state observer, is responsible for estimating and compensating for the impacts of non-linearity, parameter uncertainties, and disturbances caused by patients with lower-limb impairments. We design a Lyapunov stability function to assess the stability of system. The parameters of the control gain are obtained by linear matrix inequality (LMI). The results confirm the effectiveness of the proposed method.

关键词： Uncertain systems Accuracy Uncertainty Simulation Observers Assistive robots Stability analysis Steady-state Robots Lyapunov methods

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Improved BP Neural Network Utilizing Bayesian optimization Algorithm for Iron-making Process control

Improved BP Neural Network Utilizing Bayesian optimization A...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Shaoran Wang Jinhua She Seiichi Kawata Feng Wang Juan Zhao Qifu Chen Zhenhong Liao School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China School of Engineering Tokyo University of Technology Hachioji Tokyo Japan

ISBN: (数字)9798350394085

ISBN: (纸本)9798350394092

The manufacturing sector covers a wide range of areas, focusing mainly on major equipment manufacturing and process industries, including new energy and new materials manufacturing. The ultimate goal is to realize intelligent manufacturing. Iron and steel metallurgy is an important pillar of the national economy, especially in the field of process industry. In the ironmaking process, a large number of process parameters are systematically collected, forming high-dimensional time series big data. These parameters contain hundreds of influencing factors. Key production indicators such as yield, energy consumption and iron quality are closely related to a controlled intermediate variable in the smelting process, the furnace temperature. Silicon content [Si] and the mass percentage of Si in the molten iron is a good example. In order to predict and control the blast furnace ironmaking process more effectively, this paper introduces a BP neural network prediction model, and optimizes and compares the neural network model with genetic algorithm and Bayesian optimization technique.

关键词： Heuristic algorithms Neural networks Process control Predictive models Prediction algorithms Silicon Iron

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