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Atmospheric VOCs in an industrial coking facility and the surrounding area:Characteristics,spatial distribution and source apportionment

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Journal of Environmental sciences 2024年第4期138卷 660-670页

作者： Meicheng Wen Weiqiang Deng Jin Huang Shu Zhang Qinhao Lin ChaoWang Shengtao Ma Wanjun Wang Xin Zhang Guiying Li Taicheng An Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health Guangdong Key Laboratory of Environmental Catalysis and Health Risk ControlInstitute of Environmental Health and Pollution controlGuangdong University of TechnologyGuangzhou 510006China Guangdong Engineering Technology Research Center for Photocatalytic Technology Integration and Equipment Guangzhou Key Laboratory of Environmental Catalysis and Pollution ControlSchool of Environmental Science and EngineeringGuangdong University of TechnologyGuangzhou 510006China Institute of Environmental Science Shanxi UniversityTaiyuan 030006China

Industrial coking facilities are an important emission source for volatile organic compounds(VOCs).This study analyzed the atmospheric VOC characteristics within an industrial coking facility and its surrounding *** concentrations of total VOCs(TVOCs)in the surrounding residential activity areas(R1 and R2),the coking facility(CF)and the control area(CA)were determined to be 138.5,47.8,550.0,and 15.0μg/m^(3),*** cold drum process and coking and quenching areas within the coking facility were identified as the main polluting *** spatial variation in VOCs composition was analyzed,showing that VOCs in the coking facility and surrounding areas were mainly dominated by aromatic compounds such as BTX(benzene,toluene,and xylenes)and naphthalene,with concentrations being negatively correlated with the distance from the coking facility(p<0.01).The sources of VOCs in different functional areas across the monitoring area were analyzed,finding that coking emissions accounted for 73.5%,33.3% and 27.7% of TVOCs in CF,R1 and R2,*** results demonstrated that coking emissions had a significant impact on VOC concentrations in the areas surrounding coking *** study evaluates the spatial variation in exposure to VOCs,providing important information for the influence of VOCs concentration posed by coking facility to surrounding residents and the development of strategies for VOC abatement.

关键词： Coking facility Volatile organic compounds Emission inventory Spatial distribution Source apportionment

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Learning to Navigate Sequential Environments: A Continual Learning Benchmark for Multi-modal Navigation

Learning to Navigate Sequential Environments: A Continual Le...

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2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024

作者： Xie, Yinduo Zhao, Yuenan Zhang, Qian Zhang, Lin Li, Teng Zhang, Wei School of Control Science and Engineering Shandong University Key Laboratory of Machine Intelligence and System Control Ministry of Education Jinan250061 China

ISBN: (纸本)9781665481090

Existing works for robot navigation typically focus on performance in specific tasks, overlooking the adaptability of navigation strategies to sequential environments. In this paper, we present CLBMN, a continual learning (CL) benchmark for multi-modal robot navigation, which aims to enhance robots' navigation capabilities in handling sequential tasks. The benchmark is composed of a multi-modal dataset, a CL-based algorithm, and three comprehensive evaluation metrics for CL-based multi-modal navigation. Specifically, we construct a multi-modal dataset with 10,000 samples by collecting images, point clouds, and odometry data from five scenarios, including daytime, nighttime, rainy conditions, highway, and field. Then, we propose an end-to-end navigation framework with momentum update to mitigate catastrophic forgetting across various environments, which provides a baseline approach for CL-based robot navigation. Furthermore, we define three evaluation metrics specifically designed to evaluate the robot's continual navigation performance across different scenarios. Experimental results demonstrate that the proposed benchmark is effective for studying multi-modal continual robot navigation in sequential environments. Our project page is available at https://***/clbmn/. © 2024 IEEE.

关键词： Robot learning

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On the optimality of uniform velocity-deceleration separation scheme for tethered satellite systems

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control Theory and Technology 2024年第4期22卷 503-516页

作者： Peng Yu Ji-Feng Zhang Shuping Tan Jin Guo Yanlong Zhao School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing100083China Key Laboratory of Knowledge Automation for Industrial Processes Ministry of EducationBeijing100083China Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing100190China Beijing Institute of Control Engineering Beijing100094China

For mitigating the libration angle fluctuation of the tethered satellite system,this paper discusses how to make the uniform velocity-deceleration separation scheme achieve the best ***,a judgment condition is established to determine the tether state by comparing the tether length and the relative distance of the sub-satellite and the parent *** on the tethered satellite system dynamics equation and Clohessy-Wiltshire equation,dynamic models are given for four cases of tether ***,the influence of the uniform velocity-deceleration separation scheme on the libration angle is analyzed by taking the libration angle at the separation ending time and the mean absolute value of the libration angle as index ***,the optimality problem of the uniform velocity-deceleration separation scheme is formulated as an optimization problem with constraints,and an approximate solution algorithm is given by combining the back propagation neural network and Newton-Raphson method of multiple initial ***,the effectiveness of the proposed method is verified by a numerical simulation.

关键词： Tethered satellite systems Libration angle Uniform velocity-deceleration separation Neural network

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Efficient retinal artery/vein classification with dense color-invariant feature learning

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Neural Computing and Applications 2025年第3期37卷 1255-1270页

作者： Chen, Xiaojuan Niu, Luyu Guo, Song College of Information and Control Engineering Xi’an University of Architecture and Technology Shaanxi Xi’an710055 China School of Civil Engineering and Environmental Science University of Oklahoma Oklahoma73019 United States

Automatic classification of retinal arteries and veins (A/V) is crucial for assisting clinicians in diagnosing cardiovascular and eye diseases. Deep learning models have been widely employed for A/V classification, achieving remarkable performance. However, two primary challenges persist: vessel discontinuity and A/V confusion. To address the vessel discontinuity challenge, we have designed a multi-scale convolution block (MCB) that combines square and strip convolutions. This design enhances the segmentation of tiny vessels by capturing more discriminative vessel features, effectively resolving the issue of vessel discontinuity. Meanwhile, to tackle the A/V confusion challenge, we propose a dense color-invariant feature learning (DCIFL) method to improve the model’s robustness to color variations in retinal images. Specifically, DCIFL uses KL divergences to align the distributions of both latent representations and prediction maps of the raw input image and its color-transformed counterpart. By integrating MCB and DCIFL, we introduce EAV-Net, an efficient model for retinal A/V classification. The proposed method has been tested on three publicly available datasets, achieving accuracies of 96.59%, 97.28%, and 99.34% on the AV-DRIVE, WIDE, and HRF datasets, respectively. These results demonstrate the superiority of our approach in outperforming state-of-the-art methods. Our code will be released at https://***/guomugong/EAV-Net. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Ophthalmology

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Stability in Inverse Problem of Determining Two Parameters for the Moore-Gibson-Thompson Equation with Memory Terms

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Journal of Systems science & Complexity 2024年第6期37卷 2368-2389页

作者： FU Songren CHEN Liangbiao ZHANG Ji-Feng Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China School of Automation and Electrical Engineering Zhongyuan University of TechnologyZhengzhou 450007China

In this paper,the authors consider the inverse problem for the Moore-Gibson-Thompson equation with a memory term and variable diffusivity,which introduce a sort of delay in the dynamics,producing nonlocal effects in *** H¨older stability of simultaneously determining the spatially varying viscosity coefficient and the source term is obtained by means of the key pointwise Carleman estimate for the Moore-Gibson-Thompson *** the sake of generality in mathematical tools,the analysis of this paper is discussed within the framework of Riemannian geometry.

关键词： Carleman estimate memory term Moore-Gibson-Thompson equation stability Riemannian geometry

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Model-Based Online Adaptive Inverse Noncooperative Linear-Quadratic Differential Games via Finite-Time Concurrent Learning

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第8期5卷 4247-4257页

作者： Lin, Jie Wu, Huai-Ning Beihang University School of Automation Science and Electrical Engineering Beijing100191 China Beihang University Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical Engineering Beijing100191 China Peng Cheng Laboratory Shenzhen518066 China

Noncooperative differential games provide a basis for the study of coordination, conflict, and control for a single dynamical system with multiple players. Within the linear-quadratic differential games (LQDGs), the optimal feedback gain matrix and the weighting matrices of individual cost function depict each player's control policy and the tradeoff of various objectives, respectively. In this article, we investigate the inverse problem of LQDG with partial state observation via a model-based online method, i.e., recover the cost function of each player. First, a state observer is used to estimate the system state. Then, the feedback gain matrices of players are learned using a finite-time concurrent learning (FTCL)-based adaptive law relaxing the persistent excitation (PE) condition which is required in traditional adaptive estimation methods. With the learned feedback gain matrices, a semidefinite programming (SDP) problem with the quadratic objective function can be set up for determining the weighting matrices of the cost function. The applicability and effectiveness of the proposed method are demonstrated with a numerical example and a shared steering control simulation. © 2020 IEEE.

关键词： Cost functions

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Structure-performance relationship between denitration performance and catalytic interface morphologies of MnCeO_(x)/P84 catalytic filters

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Journal of Rare Earths 2025年第3期43卷 516-525,I0004页

作者： Bo Yang Yujie Lei Maosen Ni Liuying Wang Qiong Huang Mindong Chen Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology(CICAEET) Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution ControlSchool of Environmental Science and EngineeringNanjing University of Information Science&TechnologyNanjing210044China

MnCeO_(x)/P84 catalytic filters with spherical,flower-like,cubic and rod-like catalytic interfaces were synthesized respectively,and their catalytic activities in the NH_(3)-SCR reaction were *** MnCeO_(x)/P84 catalytic filter with spherical catalytic interfaces(recorded as S-MnCeO_(x)/P84)exhibits the best catalytic denitration *** NO_(x)removal efficiency of S-MnCeO_(x)/P84 reaches the highest value of 98.6%at 160℃when the catalyst loading is 100 g/m^(2).At the same time,S-MnCeO_(x)/P84 exhibits good SO_(2)resistance and stability,achieving a NO_(x)removal rate of 83%at 190℃with 30 ppm SO_(2).The characterization results illustrate that the MnCeO_x active component in S-MnCeO_(x)/P84 is present in weak crystalline states,tightly wrapped around the surface of the filter fiber,and uniformly dispersed,and the mesopore is the main pore structure of the S-MnCeO_(x)/P84,which can provide a channel for the catalytic reaction to *** the same time,transmission electron microscopy(TEM)characterization shows that y-MnO_(2)is the main form of MnO_(2)in the S-MnCeO_(x)/*** analysis of H_(2)temperature programmed reduction(H_(2)-TPR).NH_(3)temperature programmed desorption(NH_(3)-TPD)and in-situ diffuse reflectance infrared spectra(DRIFTS)show that S-MnCeO_(x)/P84 has good redox ability at 100-200℃and has abundant Lewis acid sites and Bronsteds acid sites,which provides an important guarantee for its superior low-temperature NH_(3)-SCR denitration performance.

关键词： Catalytic filter Nitrogen oxides(NO_x) Denitration Catalytic interface Rare earths

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Research on Attack Detection Method for V2V System Based on Multi-dimensional Taylor Series Expansion Framework

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IEEE Sensors Journal 2025年第11期25卷 19576-19591页

作者： Wang, Di Wen, Chenglin Liu, Weifeng Shaanxi University of Science and Technology School of Electrical and Control Engineering Xi’an710021 China Guangdong University of Petrochemical Technology Department of Automation Maoming525000 China

Strongly stealthy cyber-attacks in networked vehicle queue (V2V) network environments often manifest themselves as small changes to data, which makes it difficult for existing methods to effectively detect such attacks. Although the initial impact of these attacks is minimal, they are capable of significantly disrupting the system over time. To address this issue, this paper proposes a new data representation model for attack detection, aiming to overcome the limitations of existing detection methods. For subtle and persistent attack features, we present a multi-level data representation framework, which enables effective comparison of attack features at different scales by extracting features at various levels. Through hierarchical processing of features, these subtle changes are revealed at the micro level, thereby enhancing the system’s sensitivity to stealthy attacks. The experimental results show that the method in this paper can effectively detect the covert false data injection (FDI) attacks. Meanwhile, we compared the proposed method with the most recent competing methods, and the results demonstrated that our method has higher detection accuracy and stronger robustness compared with the existing methods (Figure presented). © 2001-2012 IEEE.

关键词： Cyber attacks

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Study on the characteristics of inductively coupled plasma discharge at different frequencies under air background

Study on the characteristics of inductively coupled plasma d...

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2024 International Conference on Aerospace, Mechanical and Materials engineering, AMME 2024

作者： Lei, Fan Wu, Hongzhi Zhang, Zhaoyang School of Electrical and Control Engineering Shaanxi University of Science & Technology Shaanxi Xi'an710021 China

Simulation of the two-dimensional axisymmetric inductively coupled plasma (ICP) discharge model under air background is carried out through the finite element simulation software COMSOL Multiphysics based on the hydrodynamic equations. The changes and distribution characteristics of plasma parameters are obtained and analyzed during the discharge process, including the electron density, the electronic temperature, and the macro-gas temperature of the plasma. The influence of different frequencies on flow field characteristics of ICP in the background of air is studied. The model fixed the input discharge power of 1000W and the pressure of 20Pa. The research results indicate that the plasma appears in the middle of the discharge chamber and gradually dissipates along the direction of the chamber wall. The macro-gas temperature near the inductive coil is higher than in other areas. In addition, rising discharge frequencies will lead to a decrease in plasma conductivity, which will cause the research object of plasma to gradually decrease. The proportion of O2 not only affects the relevant feature parameters of plasma, but also has an impact on the distribution of the spatial space of plasma. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Inductively coupled plasma

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The profound review of Fenton process:What’s the next step?

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Journal of Environmental sciences 2025年第1期147卷 114-130页

作者： Yimin Lin Junlian Qiao Yuankui Sun Hongyu Dong State Key Laboratory of Pollution Control and Resources Reuse College of Environmental Science and EngineeringTongji UniversityShanghai 200092China Department of Environmental Science School of Ecological and Environmental SciencesEast China Normal UniversityShanghai 200241China

Fenton and Fenton-like processes,which could produce highly reactive species to degrade organic contaminants,have been widely used in the field of wastewater ***,the chemistry of Fenton process including the nature of active oxidants,the complicated reactions involved,and the behind reason for its strongly pH-dependent performance,is the basis for the application of Fenton and Fenton-like processes in wastewater ***,the conflicting views still exist about the mechanism of the Fenton *** instance,reaching a unanimous consensus on the nature of active oxidants(hydroxyl radical or tetravalent iron)in this process remains *** review comprehensively examined the mechanism of the Fenton process including the debate on the nature of active oxidants,reactions involved in the Fenton process,and the behind reason for the pH-dependent degradation of contaminants in the Fenton ***,we summarized several strategies that promote the Fe(Ⅱ)/Fe(Ⅲ)cycle,reduce the competitive consumption of active oxidants by side reactions,and replace the Fenton reagent,thus improving the performance of the Fenton ***,advances for the future were proposed including the demand for the high-accuracy identification of active oxidants and taking advantages of the characteristic of target contaminants during the degradation of contaminants by the Fenton process.

关键词： Advanced oxidation process Fenton Hydroxyl radical Fe(IV) Wastewater treatment

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