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Molecular behavior and interactions with microbes during anaerobic degradation of bio-derived DOM in waste leachate

Journal of Environmental sciences 2023年第4期126卷 174-183页

作者： Junjie Qiu Tianqi Li Fan Lü Yulong Huang Chao Li Hua Zhang Liming Shao Pinjing He Institute of Waste Treatment and Reclamation Tongji UniversityShanghai 200092China Shanghai Institute of Pollution Control and Ecological Security Shanghai 200092China Shanghai Engineering Research Center of Multi-source Solid Wastes Co-Processing and Energy Utilization Shanghai 200092China

It is the key to control bio-derived dissolved organic matters (DOM) in order to reduce the effluent concentration of wastewater treatment, especially for waste leachate with high organic contaminants. In the present study, the anaerobic degradation of aerobically stabilized DOM was investigated with DOM substrate isolated through electrodialysis. The degradation of bio-derived DOM was confirmed by reduction of 15%of total organic carbon in 100 *** characterized the molecular behavior of bio-derived DOM by coupling molecular and biological information analysis. Venn based Sankey diagram of mass features showed the transformation of bio-derived DOM mass features. Occurrence frequency analysis divided mass features into six categories so as to distinguish the fates of intermediate metabolites and persistent compounds. Reactivity continuum model and machine learning technologies realized the semi-quantitative determination on the kinetics of DOM mass features in the form of pseudo-first order, and confirmed the reduction of inert mass features. Furthermore, network analysis statistically establish relationship between DOM mass features and microbes to identify the active microbes that are able to utilize bio-derived DOM. This work confirmed the biological technology is still effective in controlling recalcitrant bio-derived DOM during wastewater treatment.

关键词： Soluble microbial products Data mining Machine learning Solid waste Orbitrap

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research on Gesture Recognition of Surface EMG Based on Machine Learning 16th

Research on Gesture Recognition of Surface EMG Based on Mach...

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16th Chinese Conference on Biometric Recognition, CCBR 2022

作者： Liu, Linjie Zhang, Na Li, Ke Center for Intelligent Medical Engineering School of Control Science and Engineering Shandong University Jinan250000 China

ISBN: (纸本)9783031202322

Gesture recognition pertains to recognizing meaningful expressions of motion by human, it is utmost important in medical rehabilitation, robot control as well as prosthesis design. Compared with gesture recognition based on machine vision, the gesture recognition based on wearable device, especially wearable surface electromyogram (sEMG) signal acquisition equipment, has more important theoretical and practical application prospects. However, there are still many urgent problems in sEMG signals, involving the signal acquisition and recognition accuracy of multi-channel sEMG signals, to be solved. For these problems, we designed a wearable sEMG armband with convenient acquisition and high precision to record sEMG signals and then done the gesture recognition based on deep learning method. Firstly, sEMG signals are classified, denoised and extracted features, and then extended data by sliding window. Then, Convolutional Neural Networks (CNN) and Multilayer Perceptron (MLP) were constructed to classify the 9 predefined gestures. The result showed that both methods achieve high offline recognition rate. The average gesture recognition accuracy of CNN is 99.47%;The average gesture recognition accuracy of MLP is 98.42%. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Multilayer neural networks

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Domain Adversarial Enhanced Multi-Channel Graph Networks for Aeroengine Gas Path Fault Diagnosis 49

Domain Adversarial Enhanced Multi-Channel Graph Networks for...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Xu, Changyi Gui, Xuecheng Huo, Mingxiao School of Control Science and Engineering Dalian University of Technology Dalian China Research Institute of Robotics Uc Berkeley Berkeley United States

ISBN: (纸本)9798350331820

The gas path system is an important part of aero-engine, and its fault will bring terrible suffering, therefore the research on fault diagnosis method of the gas path has always been a concern. However, the existing diagnosis methods have the problems of low diagnostic accuracy and poor adaptability to performance degradation. This paper proposes the domain adversarial enhanced multi-channel graph networks to improve the above shortages. In this method, the spatiotemporal series is embedded by multi-head attention enhanced temporal and spatial graph networks, combining domain adversarial training supplemented by spectral norm regularization. On the one hand, this solution can fully mine the spatiotemporal relationship of multivariate sequences in aeroengine gas path, on the other hand, it can improve the difference in data distribution and model generalization. According to the comparison experiment, the proposed model performs better fault feature extraction ability and domain transfer ability, which demonstrates its potential application in gas path fault diagnosis. © 2023 IEEE.

关键词： Failure analysis

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Application research of Pulsed Plasma Discharge Combined Technology for the Treatment of Malodorous Gas in Sewage Pumping Station 3

Application Research of Pulsed Plasma Discharge Combined Tec...

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3rd Power System and Green Energy Conference, PSGEC 2023

作者： Weng, Lingang Wang, Jinbiao Luo, Anfei Lu, Weimin Ye, Qing Feng, Chao Liu, Yujie Zhejiang Doway Advanced Technology Co. Ltd Hangzhou China Zhejiang Engineering Research Center of Odor Control Hangzhou China

ISBN: (纸本)9798350340099

Pulsed plasma discharge combination technology is a new type of malodorous gas treatment process. In this paper, the application of pulsed plasma discharge combination technology in the treatment of malodorous gases in urban sewage pumping stations was studied. Pulsed plasma discharge combination technology is a combined treatment process based on pulse plasma discharge technology supplemented by filtration and adsorption layers. The pulse plasma discharge adopts a nanosecond-level narrow pulse power supply to achieve a strong pulsed electric field, the electric field intensity is adjustable, and the pollution factors in the malodorous gas are removed step by step by multi-stage discharge ionization superposition. Under the action of high-energy electric field, the pollution factors such as H2S, NH3 and hydrocarbons in malodorous gases will undergo material dissociation and free radical oxidation reactions, and the average purification efficiency of malodorous gases can reach more than 95%. This study shows that the combined technology of pulsed plasma discharge has the advantages of high removal efficiency, strong adaptability to working conditions, stable operation and no secondary pollution in the treatment of malodorous gases in urban sewage pumping stations, which is worth popularizing in similar malodorous gas treatment proj ects. © 2023 IEEE.

关键词： Free radicals

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Tailoring the d-band electronic structure of FePc by direct oxygen bridge on ZIF-8 derived ultrathin carbon shell to improve the oxygen reduction performance

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Nano research 2025年第3期18卷 132-141页

作者： Xilin Zhang Shan Wang Zhiyi Sun Zhongjun Ma Huixuan Wang Zongxian Yang Qingfang Chang Wenxing Chen School of Physics Henan Normal UniversityXinxiang 453007China Energy&Catalysis Center School of Materials Science and EngineeringBeijing Institute of TechnologyBeijing 100081China Key Laboratory of Yellow River and Huai River Water Environmental and Pollution Control Ministry of EducationSchool of EnvironmentHenan Normal UniversityXinxiang 453007China

Molecular catalysts with well-defined single atom sites and coordination environments exhibit significant potential as oxygen reduction electrocatalysts,but suffering from the activity and stability ***,the ultrathin carbon shell supported FePc molecule electrocatalysts(FePc/TA-ONG-N),featuring with a direct oxygen bridging between FePc and carbon substrate,were designed and *** direct connection with oxygen atom on carbon substrate,certified by the Fourier transform infrared spectroscopy(FTIR)and extended X-ray absorption fine structure(EXAFS),can remarkably enhance the interaction and facilitate electron transfer from Fe,leading to an improved activity by reducing adsorption strength of intermediate species through lowering the d-band center *** resultant half-wave potential of 0.902 V together with a Tafel slope of 23.64 mV·dec^(−1)is superior to Pt/C and control *** catalyst holds a promise as air-cathode electrocatalyst in Zn-air battery with excellent operation stability exceeding 80 *** density functional theory(DFT)calculations and molecular dynamic simulations unveiled that the O-bridge can effectively stabilize the FePc molecule and function as electron buffer to donate/gain electrons to/from Fe atom during the adsorption of *** current findings are insightful for developing molecular catalysts with high performance through substrate engineering and axial coordination.

关键词： metal-organic framework axial coordination interfacial electron transfer iron phthalocyanine oxygen reduction reaction

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Closed-Loop control and Motion Planning for Parallel Structural Chemical Reactions 21

Closed-Loop Control and Motion Planning for Parallel Structu...

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21st IEEE International Symposium on Intelligent Systems and Informatics, SISY 2023

作者： Viragh, Eszter Kiss, Balint Andras Drexler, Daniel University Research and Innovation Center Physiological Controls Research Center Óbuda University Budapest Hungary Budapest University of Technology and Economics Department of Control Engineering and Information Technology Budapest Hungary

ISBN: (纸本)9798350343366

For nonlinear systems, the behavior of the system may be necessary to be known at any time. With the help of motion planning, we can determine the time function of the state variables from the mathematical model. The present work deals with chemical reactions. It shows a motion planning method for parallel structural reactions and demonstrates the given result with the help of closed-loop control. For motion planning, we use the parametrized function class method. We ensure the isothermal behavior of parallel reactions with motion planning and closed-loop control. In a control theoretic point of view, this technique simplifies the model, eliminating the problems caused by nonlinearity. As an example, we design closed-loop control for a two-step parallel reaction. © 2023 IEEE.

关键词： Motion planning

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Decoupling While Coupling: Towards More Accurate Stereo Image Sand Removal Beyond Certainty

Decoupling While Coupling: Towards More Accurate Stereo Imag...

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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Wei, Bingcai Liu, Hui Qian, Chuang Jia, Yi Wu, Wangyu Li, Zhishan School of Computer Science Wuhan University Wuhan China GNSS Research Center Wuhan Unicersity Wuhan China Intelligent Transport Systems Research Center Wuhan University of Technology Wuhan China College of Information and Control Engineering Jilin Institute of Chemical Technology Jilin China University of Liverpool Liverpool United Kingdom School of Computer Science and Engineering South China University of Technology Guangzhou China

ISBN: (纸本)9798350368741

Stereo image sand removal is crucial to improve the perceptual quality for autonomous driving perception. Existing methods often fall short in accurately estimating the uncertainty inherent in degraded images, leading to suboptimal outcomes. To address this, we introduce a novel framework named Decoupling While Coupling(DWC). DWC pioneers the integration of inter-view uncertainty estimation, cross-view uncertainty-aware interaction and block-wise uncertainty representation for superior stereo image sand removal. For cross-view information interaction, we propose an Uncertainty-aware Cross-view Attentive Interaction module(UCAI) to cope with the lack of uncertainty estimation ability in the existing cross-view information interaction mechanism. For the uncertainty perception and information interaction within the inter-view, we propose a Distribution Modeling Coupling Block(DMCB), which transmits the representation of uncertainty between each backbone module. For block-wise uncertainty estimation, we use our proposed Uncertainty-aware Distribution Feature Modulator(UDFM) as the backbone of DWC to modulate the uncertainty inside the neural network itself. Extensive experimental validations on our proposed stereo image sand removal dataset SandST confirm the efficacy of DWC. Our method not only achieves higher PSNR and SSIM, but also exhibits enhanced robustness against various sand degrees and patterns. © 2025 IEEE.

关键词： Cross-view Inter-view Sand removal Stereo image Uncertainty estimation

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Bearing Fault Diagnosis Under Variable Working Conditions Based on Domain Adaptation and Improved Depthwise Separable Convolution Network 26

Bearing Fault Diagnosis Under Variable Working Conditions Ba...

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26th International Conference on Industrial Technology, ICIT 2025

作者： Kuang, Zehui Mao, Fan Zhao, Xingyu Wan, Xiongbo School of Automation China University of Geosciences 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 China School of Future Technology China University of Geosciences 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 China

ISBN: (纸本)9798331521950

Domain adaptation methods and appropriate feature extractors are usually applied to solve the problem that the variable working conditions of bearings affect the effectiveness of the fault diagnostic framework. However, the existing feature extractors are too complex to be deployed in real industries. In this paper, we propose a lightweight framework called improved depthwise separable convolution network (IDSCN) for the diagnosis of bearing faults in variable operating conditions. IDSCN is built on wavelet convolution and depthwise separable residual convolution (DSRC), where the wavelet convolution is used to extract frequency features from the source and target domains, and DSRC guarantees the performance of feature extraction with reduced parameters and computation. To minimise the distribution difference between the source and target domains, the local maximum mean difference is incorporated into the proposed framework. The performance of the proposed framework is validated on the Paderborn University dataset, involving a total of 6 transfer tasks. The experiment shows that the proposed framework achieves satisfactory results and outperforms other frameworks in bearing fault diagnosis. © 2025 IEEE.

关键词： Bearing fault diagnosis Depthwise separable residual convolution Domain adaptation Wavelet convolution

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Acquisition approach of moment of inertia based on brushless DC torque motor 4

Acquisition approach of moment of inertia based on brushless...

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4th International Conference on Electronics Communication Technologies, ICECT 2022

作者： Wang, Yao Yao Feng, Wei Chen, ShuHeng Xian Feng Tian, Jiang Kuan Ye, Lun Gu, DaWei Shanghai Institute of Spaceflight Control Technology Shanghai201109 China Shanghai Engineering Research Center of Servo System Shanghai201109 China

In order to meet the requirements of the small moment of inertia of the brushless DC torque motor, the optimal design of the shafting and the research on the measurement method were carried out on the basis of the structure of the flat motor rotor and the high-precision sensor. In this paper, ProE5.0 software is used to model and simulate the shaft structure of the permanent magnet synchronous motor. After comparing the common measurement methods of the moment of inertia, the single-wire torsional oscillation method is used to test and verify the moment of inertia of typical structural parts. The moment of inertia of the motor rotor is simulated and identified by the speed jammer identification *** test results show that the identification error of the constructed identification algorithm is less than 5% for the moment of inertia identification. After the brushless DC torque motor is assembled, the method can be used as a verification method for the parameters of the moment of inertia, which has strong practical significance. © Published under licence by IOP Publishing Ltd.

关键词： Permanent magnets

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Constructing extrinsic oxygen vacancy on the surface of photocatalyst as CO_(2)and electrons reservoirs to improve photocatalytic CO_(2)reduction activity

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Journal of Environmental sciences 2024年第6期140卷 37-45页

作者： Zaiyong Jiang Hao Li Zhimin Yuan Zheng Wang Maohong Fan Wenkang Miao Hong He State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China School of Chemistry&Chemical Engineering and Environmental Engineering Weifang UniversityWeifangShandong 261061China Departments of Chemical and Petroleum Engineering University of WyomingLaramieWY 82071USA Materials Genome Institute Shanghai UniversityShanghai 200444China

Constructing own oxygen vacancies in the photocatalysts is a very promising method to improve their photocatalytic CO_(2)reduction ***,some catalysts have excellent stabilities,making it difficult for them to construct their own oxygen *** simplify the above difficulty of stable photocatalysts,constructing extrinsic oxygen vacancies on their surface as a novel idea is ***,a stable TiO_(2)nanosheet is chosen as a research object,we uniformly deposited BiOCl quantum dots on their surface via a simple adsorption-deposition *** is found that BiOCl quantum dots are able to simultaneously self-transform into defective BiOCl with many oxygen vacancies when the photocatalyst is performed photocatalytic CO_(2)*** extrinsic oxygen vacancies can act as“CO_(2)and photo-generated electrons reservoirs”to improve CO_(2)capture and accelerate the separation of photogenerated electrons and *** the above reasons,the modified TiO_(2)showed obvious enhancement of photocatalytic CO_(2)reduction compared to pristine TiO_(2)and *** work may open a new avenue to broaden the use of oxygen vacancies in the process of photocatalytic CO_(2)reduction.

关键词： Oxygen vacancy BiOCl Photocatalyst CO_(2)reduction TiO_(2)

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