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第35届中国过程控制会议

作者： Yifan Jiang Jinshui Chen Jiangang Lu State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Zhejiang Laboratory

In industrial production, flaw detection in X-ray images is a crucial process to prevent defective tires from entering the market. To address the current issues of low accuracy, false positives and missed detections in tire surface defect detection, we propose a tire defect detection algorithm based on RT-DETR. Firstly, we replace the multi-scale feature fusion network with a more efficient feature focusing and diffusion pyramid network to enhance the network's ability to represent cross-scale features, thereby improving defect detection accuracy. Secondly, we substitute the GIoU loss function with the Inner-WiseIoU loss function for optimizing bounding box regression, enhancing the generalization ability of the loss function and improving the precision of bounding box localization. Experimental results demonstrate that the improved algorithm, compared to the original model, increases the mean Average Precision(mAP)@0.5 by 10.0% and mAP@0.5:0.95 by 8.9%, while maintaining a high Frame rate Per Second(FPS). When compared with algorithms such as YOLOv8 and YOLOv9, our algorithm also achieves higher detection accuracy and competitive real-time performance, indicating its effectiveness.

关键词： Defect detection RT-DETR Feature pyramid Loss function

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An effective strategy for biodegradation of high concentration phenol in soil via biochar-immobilized Rhodococcus pyridinivorans B403

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Environmental science and Pollution Research 2024年第23期31卷 33752-33762页

作者： Peng, Fang Liu, Jiashu Ping, Jiapeng Dong, Yuji Xie, Liuan Zhou, Yishan Liao, Lipei Song, Huiting Hubei Key Laboratory of Regional Development and Environmental Response School of Resources and Environmental Science Hubei University Wuhan430062 China State Key Laboratory of Biocatalysis and Enzyme Engineering School of Life Science Hubei University Wuhan430062 China Key Laboratory for Quality Control of Characteristic Fruits and Vegetables of Hubei Province College of Life Science and Technology Hubei Engineering University Xiaogan432000 China

High concentration of phenol residues in soil are harmful to human health and ecological safety. However, limited information is available on the in-situ bioremediation of phenol-contaminated soil using biochar as a carrier for bacteria. In this study, bamboo -derived biochar was screened as a carrier to assemble microorganism-immobilized composite with Rhodococcus pyridinivorans B403. Then, SEM used to observe the micromorphology of composite and its bioactivity was detected in solution and soil. Finally, we investigated the effects of free B403 and biochar-immobilized B403 (BCJ) on phenol biodegradation in two types of soils and different initial phenol concentrations. Findings showed that bacterial cells were intensively distributed in/onto the carriers, showing high survival. Immobilisation increased the phenol degradation rate of strain B403 by 1.45 times (37.7 mg/(L·h)). The phenol removed by BCJ in soil was 81% higher than free B403 on the first day. Moreover, the removal of BCJ remained above 51% even at phenol concentration of 1,500 mg/kg, while it was only 15% for free B403. Compared with the other treatment groups, BCJ showed the best phenol removal effect in both tested soils. Our results indicate that the biochar-B403 composite has great potential in the remediation of high phenol-contaminated soil. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Phenols

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Unintentional emissions of polychlorinated naphthalenes in China:Sources,composition,and historical trends

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Journal of Environmental sciences 2025年第2期148卷 221-229页

作者： Ye Huang Lin Huang Ying Li Nazupar Sidikjan Yunshan Zhang Yan Chen Yangmin Chen Ye Li Wei Du Long Chen YanWu Shanshan Zhang Jing Yang Wenjun Meng Guofeng Shen Min Liu Shu Tao Key Laboratory of Geographic Information Science of the Ministry of Education School of Geographic SciencesEast China Normal UniversityShanghai 200241China Yunnan Provincial Key Laboratory of Soil Carbon Sequestration and Pollution Control Faculty of Environmental Science&EngineeringKunming University of Science&TechnologyKunming 650500China Laboratory of Earth Surface Processes College of Urban and Environmental SciencePeking UniversityBeijing 100871China

Polychlorinated naphthalenes(PCNs)are detrimental to human health and the *** the commercial production of PCNs banned,unintentional releases have emerged as a significant environmental ***,relevant information is still *** this study,provincial emissions for eight PCNs homologues from 37 sources in the Chinese mainland during the period of 1960-2019 were estimated based on a source-specific and time-varying emission factor *** results showed that the total PCNs emissions in 2019 reached 757.0 kg with Hebei ranked at the top among all the provinces and iron&steel industry as the biggest ***-chlorinated PCNs comprised 90%of emissions by mass,while highly chlorinated PCNs dominated in terms of toxicity,highlighting divergent priorities for mitigating emissions and safeguarding human *** emissions showed an overall upward trend from 1960 to 2019 driven by emission increase from iron&steel industry in terms of source,and from North China and East China in terms of geographic ***-capita emissions followed an inverted U-shaped environmental Kuznets curvewhile emission intensities decreased with increasing per-capita Gross Domestic Product(GDP)following a nearly linear pattern when log-transformed.

关键词： PCNs Emission inventory Emission factor Composition profile Emission intensity Chinese mainland

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Photoelectrocatalytic hydrogen evolution and synchronous degradation of organic pollutants by pg-C_(3)N_(4)/β-FeOOH S-scheme heterojunction

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science China(Technological sciences) 2024年第4期67卷 1238-1252页

作者： LI XiBao HAN Tao ZHOU YingTang XIE Yu LUO YiDan HUANG JunTong CHEN Zhi DENG Fang School of Materials Science and Engineering Nanchang Hangkong UniversityNanchang 330063China National-Local Joint Engineering Research Center of Heavy Metal Pollutants Control and Resource Utilization Nanchang Hangkong UniversityNanchang 330063China Zhejiang Key Laboratory of Petrochemical Environmental Pollution Control National Engineering Research Center for Marine AquacultureMarine Science and Technology CollegeZhejiang Ocean UniversityZhoushan 316022China

Crafting photoelectrocatalytic materials with robust oxidation-reduction properties for simultaneous hydrogen evolution and pollutant degradation poses a formidable *** this study,a pg-C_(3)N_(4)/β-FeOOH S-scheme heterostructure with a special energy band structure was developed by anchoring porous pg-C_(3)N_(4)on needle shapedβ-*** as a hole extraction layer,needle-leaf-likeβ-FeOOH can facilitate efficient hole migration and enhance charge ***,the optimized 0.2-pg-C_(3)N_(4)/β-FeOOH could degrade 78%of ofloxacin(OFLO)in 90 *** organic pollutants could absorb a large number of holes,which prompted a greater proportion of photogenerated electrons to actively participate in the hydrogen evolution reaction at the ***,the hydrogen production of 0.2-pg-C_(3)N_(4)/β-FeOOH reached 1452.88μmol cm^(-2)h^(-1),exhibiting a notable increase of 61.81-165.12μmol cm^(-2)h^(-1)compared with that in the absence of *** and theoretical calculation results underscore that this investigation is grounded in a distinctive electron and hole dual channel transfer *** findings offer novel insights for the future development of S-scheme heterojunction photoelectrocatalytic materials capable of concurrently degrading pollutants and promoting hydrogen evolution.

关键词： photoelectrocatalysis hydrogen evolution degradation synchronous S-scheme heterojunction

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Superhydrophobic ceramic membrane coupled with a biphasic solvent for efficient CO_(2)capture

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Green Energy & Environment 2025年第4期10卷 834-844页

作者： Kaili Xue Zhen Chen Xiaona Wu Heng Zhang Haiping Chen Junhua Li State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing100084China Beijing Key Laboratory of Pollutant Monitoring and Control in Thermoelectric Production Process School of EnergyPower and Mechanical EngineeringNorth China Electric Power UniversityBeijing102206China MOE Key Laboratory of Resources and Environmental Systems Optimization College of Environmental Science and EngineeringNorth China Electric Power UniversityBeijing102206China

An innovative strategy was proposed by integration of membrane contactor(MC)with biphasic solvent for efficient CO_(2) capture from flue *** accessible fly ash-based ceramic membrane(CM)underwent hydrophobic modification through silane grafting,followed by fluoroalkylsilane decoration,to prepare the superhydrophobic membrane(CSCM).The CSCM significantly improved resistance to wetting by the biphasic solvent,consisting of amine(DETA)and sulfolane(TMS).Morphological characterizations and chemical analysis revealed the notable enhancements in pore structure and hydrophobic chemical groups for the modified *** of wetting/bubbling behavior based on static wetting theory referred the liquid entry pressure(LEP)of CSCM increased by 20 kPa compared to pristine *** with traditional amine solvents,the biphasic solvent presented the expected phase *** experiments demonstrated that the CO_(2) capture efficiency of the biphasic solvent increased by 7%,and the electrical energy required for desorption decreased by 32%.The 60-h continuous testing and supplemental characterization of used membrane confirmed the excellent adaptability and durability of the *** study provides a potential approach for accessing hydrophobic ceramic membranes and biphasic solvents for industrial CO_(2) capture.

关键词： Carbon capture Membrane contactor Hydrophobic modification Membrane wetting Biphasic solvent

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Extraction and identifcation of spectrum characteristics of coal and rock hydraulic fracturing and uniaxial compression signals

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International Journal of Coal science & technology 2023年第4期10卷 1-16页

作者： Ya′nan Qian Quangui Li Qianting Hu Zhizhong Jiang Ronghui Liu Jie Li Wenxi Li Changjun Yu State Key Laboratory of Coal Mine Disaster Dynamics and Control Chongqing UniversityChongqing 400044China School of Resources and Safety Engineering Chongqing UniversityChongqing 400044China State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines(Anhui University of Science and Technology) Huainan 232001China Mining College of Guizhou University Guiyang 550025GuizhouChina China Coal Technology and Engineering Group Shenyang Research Institute Fushun 113122China

Microseismic(MS)events generated during coal and rock hydraulic fracturing(HF)include wet events caused by fracturing fuid injection,in addition to dry events caused by stress *** mixture of these two events makes efective fracturing MS events pickup *** study is based on physical experiments of diferent coal and rock HF and uniaxial *** diferences of waveform characteristic parameters of various coal and rock ruptures were analyzed using the Hilbert–Huang transform,leading to some useful *** phase characteristics of the acoustic emission(AE)energy difered signifcantly and responded well to the pumping pressure *** AE waveforms of HF exhibit similar energy and frequency distribution characteristics after Empirical mode *** main frequency bands for coal,sandstone,and shale samples are 100–300 kHz,while the mudstone sample is in the range of 50–150 *** decay ratios for coal,sandstone,shale and mudstone samples are 0.78,0.83,0.67 and 0.85,*** compared to the uniaxial compression test,the main frequency bands of HF were reduced for coal,sandstone and mudstone samples,whereas shale remained essentially *** duration,instantaneous energy,and total energy of the HF waveform are smaller than those of uniaxial compression,while the decay ratio is greater,especially for the mudstone *** waveform characteristic parameters,trained using the multilayer perceptron neural network,can efectively identify HF and uniaxial compression events with an accuracy of 96%.

关键词： Hydraulic fracturing Uniaxial compression Hilbert-Huang transform Acoustic emission Microseismic

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Bimodal Fusion Network for Basic Taste Sensation Recognition from Electroencephalography and Electromyography 48

Bimodal Fusion Network for Basic Taste Sensation Recognition...

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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Gao, Han Zhao, Shuo Li, Huiyan Liu, Li Wang, You Hu, Ruifen Zhang, Jin Li, Guang Zhejiang University State Key Laboratory of Industrial Control Technology China Changsha University of Science and Technology School of Computer and Communication Engineering China

ISBN: (纸本)9781728163277

Taste sensation can be objectively measured using electroencephalography (EEG) or electromyography (EMG). How-ever, it is still challenging to effectively utilize the complementary information from EEG and EMG signals in taste sensation recognition. This paper proposes a bimodal fusion network (Bi-FusionNet) for recognizing basic taste sensations (sour, sweet, bitter, salty, umami, and blank). Two convolutional backbones with similar structures are designed to separately extract the single-modal features of EEG and EMG. Then, EEG and EMG features are concatenated for bimodal interaction and complementarity. Finally, three loss functions are adopted: a center loss for aggregating intra-class samples, a mean squared error loss for sequence positions for minimizing the difference between signals during the stimulation, and a softmax loss for minimizing the entropy of prediction and true labels. The results on the taste sensation dataset show that bimodal fusion improves recognition performance, and Bi-FusionNet outperforms single-modal methods and other fusion methods. Bi-FusionNet paves the way for the application of multimodal fusion in taste sensation recognition. © 2023 IEEE.

关键词： Electroencephalography Electromyography Feature Fusion Taste Sensation Recognition

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In-situ construction of abundant active centers on hierarchically porous carbon electrode toward high-performance phosphate electrosorption: Synergistic effect of electric field and capture sites

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Green Energy & Environment 2024年第1期9卷 126-137页

作者： Peng Zhang Fukuan Li Mingming He Silu Huo Xueli Zhang Benqiang Cen Dezhi Fang Kexun Li Hao Wang College of Environmental Science and Engineering Nankai UniversityTianjin300350China MOE Key Laboratory of Pollution Processes and Environmental Criteria Tianjin Key Laboratory of Environmental Remediation and Pollution ControlTianjin Key Laboratory of Environmental Technology for Complex Trans-Media PollutionNankai UniversityTianjin300350China State Key Laboratory of Simulation and Regulation of Water Cycles in River Basins China Institute of Water Resources and Hydropower ResearchBeijing100038China

Phosphate removal is crucial for eutrophication control and water quality ***-assisted adsorption,an eco-friendly elec-trosorption process,exhibited a promising potential for wastewater ***,there are few works focused on phosphate electro-sorption,and reported electrodes cannot attach satisfactory removal capacities and ***,electro-assisted adsorption of phosphate via in-situ construction of La active centers on hierarchically porous carbon(LaPC)has been originally *** resulted LaPC composite not only possessed a hierarchically porous structure with uniformly dispersed La active sites,but also provided good conductivity for interfacial electron *** LaPC electrode achieved an ultrahigh phosphate electrosorption capability of 462.01 mg g^(-1) at 1 V,outperforming most existing *** superior phosphate removal performance originates from abundant active centers formed by the coupling of electricﬁeld and capture ***,the stability and selectivity toward phosphate capture were maintained well even under comprehensive ***,a series of kinetics and isotherms models were employed to validate the electrosorption *** work demonstrates a deep understanding and promotes a new level of phosphate electrosorption.

关键词： Electro-assisted adsorption Electrosorption Phosphate removal Active centers MOF-derived carbon

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Topography Modeling of Surface Grinding Based on Random Abrasives and Performance Evaluation

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Chinese Journal of Mechanical engineering 2024年第5期37卷 126-148页

作者： Yanbin Zhang Peng Gong Lizhi Tang Xin Cui Dongzhou Jia Teng Gao Yusuf Suleiman Dambatta Changhe Li Key Lab of Industrial Fluid Energy Conservation and Pollution Control Qingdao University of TechnologyMinistry of EducationQingdao 266520China School of Materials Science and Engineering Xi’an University of TechnologyXi’an 710048China College of Mechanical Engineering and Automation Liaoning University of TechnologyJinzhou 121001China Mechanical Engineering Department Ahmadu Bello UniversityZaria 810106Nigeria

The surface morphology and roughness of a workpiece are crucial parameters in grinding *** prediction of these parameters is essential for maintaining the workpiece’s surface ***,the randomness of abrasive grain shapes and workpiece surface formation behaviors poses significant challenges,and accuracy in current physical mechanism-based predictive models is *** address this problem,by using the random plane method and accounting for the random morphology and distribution of abrasive grains,this paper proposes a novel method to model CBN grinding wheels and predict workpiece surface ***,a kinematic model of a single abrasive grain is developed to accurately capture the three-dimensional morphology of the grinding ***,by formulating an elastic deformation and formation model of the workpiece surface based on Hertz theory,the variation in grinding arc length at different grinding depths is ***,a predictive model for the surface morphology of the workpiece ground by a single abrasive grain is *** model integrates the normal distribution model of abrasive grain size and the spatial distribution model of abrasive grain positions,to elucidate how the circumferential and axial distribution of abrasive grains influences workpiece surface ***,by integrating the dynamic effective abrasive grain model,a predictive model for the surface morphology and roughness of the grinding wheel is *** examine the impact of changing the grit size of the grinding wheel and grinding depth on workpiece surface roughness,and to validate the accuracy of the model,experiments are *** indicate that the predicted three-dimensional morphology of the grinding wheel and workpiece surfaces closely matches the actual grinding wheel and ground workpiece surfaces,with surface roughness prediction deviations as small as 2.3%.

关键词： Surface topography prediction Grinding Grinding wheel model Random plane method

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Federated Ophthalmic Disease Diagnosis Based on Weighted Averaging and Local Optimization

Federated Ophthalmic Disease Diagnosis Based on Weighted Ave...

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2023 China Automation Congress, CAC 2023

作者： Gu, Aoguang Jiang, Xiaoyu Gao, Zhiyuan Ye, Juan Jin, Kai Zhang, Xinmin Zhejiang University The State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Hangzhou310027 China The Second Affiliated Hospital of Zhejiang University The Department of Ophthalmology Hangzhou310027 China

ISBN: (纸本)9798350303759

Deep learning and computer vision (CV) can easily recognize pictures that the human doctor would have to spend a lot of time and labor to process. Thus, they have a wide range of applications in the field of ophthalmology, which is highly dependent on fundus images. However, training a robust and highly accurate model requires a large number of labeled high-quality images, which is often difficult for a single institution to provide. A natural solution is to use data from multiple medical centers to train the model. But due to privacy protection, data heterogeneity, and other problems, these data cannot be shared directly. Based on a real case of ophthalmic disease diagnosis with multiple data sources, this paper proposes solutions to the heterogeneity of data amount and features between datasets, establishes a heterogeneous federated learning framework, and applies federated learning to the diagnosis of multiple types of ophthalmic diseases for the first time. The experimental results show that federated learning can greatly improve the diagnostic accuracy of clients with less data, and the accuracy of clients with more data can also be slightly improved. The ablation experiment has demonstrated the effectiveness of the proposed method for handling data heterogeneity. Our research shows that through heterogeneous federated learning, we can use multi-source, non-independent-identical data to build accurate disease diagnosis models, and make clients who cannot obtain effective models get a practical level disease diagnosis model. © 2023 IEEE.

关键词： Diagnosis

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