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9th International Conference on Image, Vision and Computing, ICIVC 2024

作者： Sun, Chaunjin Hu, Ying Jin, Xin College of Marine Dalian Maritime University Dalian China School of Control Science and Engineering Dalian University of Technology Dalian China

ISBN: (纸本)9798350385991

Aerial images from Unmanned Aerial Vehicles (UAVs) are characterised by many features such as large variations in object scale and lack of saliency, and the existing detectors are difficult to perform the task of detecting tiny objects in aerial images, and the problem of misdiagnosis and omission of tests has become more pronounced, to this end, we propose an improved YOLOv8n tiny object detection network. The following steps are used to improve the algorithm's ability to detect multi-scale objects: first, the tiny object detection head is added;second, the improved Neck network with multi-scale feature fusion is designed to fully fuse multi-scale feature information;third, the lightweight attention mechanism CPAM is added to further improve the quality of feature expression;last, The Shape-IoU loss function is used to optimize the position regression process. In this paper, the improved network is tested on a self-constructed UAVs image dataset. The experimental results show that the improved net-work can effectively detect tiny objects in UAV aerial imagery, and the AP50 index is 3.9 percentage points higher than that of YOLOv8n network. © 2024 IEEE.

关键词： Aerial photography

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Ensemble prediction modeling of flotation recovery based on machine learning

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International Journal of Mining science and Technology 2024年第12期34卷 1727-1740页

作者： Guichun He Mengfei Liu Hongyu Zhao Kaiqi Huang Jiangxi Provincial Key Laboratory of Low-Carbon Processing and Utilization of Strategic Metal Mineral Resources Ganzhou 341000China School of Resources and Environmental Engineering Jiangxi University of Science and TechnologyGanzhou 341000China Hefei GoldStart Intelligent Control Technical Co. Ltd.Hefei 230088China School of Mechanical and Electrical Engineering Jiangxi University of Science and TechnologyGanzhou 341000China

With the rise of artificial intelligence(AI)in mineral processing,predicting the flotation indexes has attracted significant research ***,current prediction models suffer from low accuracy and high prediction ***,this paper utilizes a two-step ***,the outliers are pro-cessed using the box chart method and filtering ***,the decision tree(DT),support vector regression(SVR),random forest(RF),and the bagging,boosting,and stacking integration algorithms are employed to construct a flotation recovery prediction *** experiments compared the prediction accuracy of six modeling methods on flotation recovery and delved into the impact of diverse base model combinations on the stacking model’s prediction *** addition,field data have veri-fied the model’s *** study demonstrates that the stacking ensemble approaches,which uses ten variables to predict flotation recovery,yields a more favorable prediction effect than the bagging ensemble approach and single models,achieving MAE,RMSE,R2,and MRE scores of 0.929,1.370,0.843,and 1.229%,*** hit rates,within an error range of±2%and±4%,are 82.4%and 94.6%.Consequently,the prediction effect is relatively precise and offers significant value in the context of actual production.

关键词： Machine learning Stacking Bagging Flotation recovery rate Filtering algorithm

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Discrete-time Stochastic Multi-agent Graphical Games with Multiplicative Noise: Reinforcement Learning Solutions 43

Discrete-time Stochastic Multi-agent Graphical Games with Mu...

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43rd Chinese control Conference, CCC 2024

作者： Zhang, Hanfang Wang, Bingchang Shandong University School of Control Science and Engineering Shandong Jinan250061 China Shandong University Shandong Jinan250061 China

ISBN: (纸本)9789887581581

This paper considers a discrete time stochastic multi-agent graphical games problem with multiplicative noise based on reinforcement learning. The Bellman optimality equations for multi-agent graphical games are obtained by using the optimality principle. Through the stability analysis, it is proved that the solutions of the equations converge to Nash equilibrium. Since the coupled Bellman equation is difficult to solve, the value iteration heuristic dynamic programming (HDP) algorithm is designed. To solve multi-agent graphical games online, the HDP algorithm based on the actor-critic framework is designed to find the approximate solutions, and the effectiveness of the algorithm is verified by a simulation example. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Stochastic systems

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Boundary Feedback Stabilization for a Class of Fractional-Order Parabolic PDE-ODE Cascaded Systems 42

Boundary Feedback Stabilization for a Class of Fractional-Or...

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42nd Chinese control Conference, CCC 2023

作者： Li, Xia Zhang, Chuanjia Xu, Zaihua Liu, Yungang School of Cyber Science and Engineering Qufu Normal University Qufu273100 China Institute of Dynamics and Control Sciense Shandong Normal University Jinan250014 China School of Control Science and Engineering Shandong University Jinan250061 China

ISBN: (纸本)9789887581543

In this paper, the boundary stabilization of a class of fractional-order parabolic PDE-ODE cascaded systems is investigated. Quite different from the related literatures, the fractional-order PDE subsystem is described by an n-dimensional coupled reaction-diffusion equation with spatial-varying reaction coefficient, which makes the system considered more general. Mean-while, the control design and stability analysis involved become more challenging and complex. Despite all this, an appropriate boundary controller is designed by applying the classical infinite-dimensional backstepping method, where the kernel functions are delicately constructed. It is demonstrated that the resulting closed-loop system is Mittag-Leffler stable in a certain sense. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Stabilization

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A Partial Domain Adaptation Scheme Based on Dual-Weighted Adversarial Network for Bearing Fault Diagnosis 5

A Partial Domain Adaptation Scheme Based on Dual-Weighted Ad...

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5th International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2024

作者： Zhou, Yanlin Shi, Mingkuan Chen, Bojian Ding, Chuancang Shen, Changqing Zhu, Zhongkui School of Rail Transportation Soochow university Suzhou China College of Control Science and Engineering Transportation Zhejiang university Hangzhou China

ISBN: (纸本)9798331529192

Domain adaptation techniques have achieved significant results in fault diagnosis, but their performance often depends on the assumption that the source and target domains have the same label set. This study focuses on a more realistic diagnostic scenario, where the label set of the target domain is only a subset of the source domain label set, which is more common in practical industrial applications. In this paper, a dual-weighted adversarial adaptation network for bearing fault diagnosis is proposed. This method introduces a class-level weight evaluation strategy for source domain samples that quantifies the uncertainty of each category, dynamically adjusting class weights to ensure the model focuses more on shared categories. Furthermore, a sample-level weight evaluation mechanism is introduced, which evaluates the transferability for target domain samples through an evaluation model, mitigating the negative impact of samples with low-quality during the current domain adaptation training stage. The effectiveness of the method is verified by experiments on the bearing fault dataset of Soochow University. © 2024 IEEE.

关键词： domain adversarial network fault diagnosis partial domain adaptation rolling bearing

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Superior and safer lithium sulfur batteries realized by robust polysulfides-retarding dam with high flame retardance

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Journal of Energy Chemistry 2024年第2期89卷 471-486,I0011页

作者： Junling Wang Yanfang Cao Zhirong Wang Yinquan Zhao Chuang He Fudong Zhao Chaoling Han Shui Yu Jiangsu Key Laboratory of Hazardous Chemicals Safety and Control College of Safety Science and EngineeringNanjing Tech UniversityNanjing 211816JiangsuChina Department of Architecture and Civil Engineering City University of Hong KongHong Kong 999077China School of Mechanical and Power Engineering Nanjing Tech UniversityNanjing 211816JiangsuChina

The unparalleled energy density has granted lithium-sulfur batteries(LSBs)with attractive ***,LSBs still face some unsurpassed challenges in industrialization,with polysulfides shuttling,dendrite growth and thermal hazard as the major problems triggering the cycling instability and low *** the merit of convenience,the method of designing functional separator has been ***,the carbon aerogel confined with CoS_(2)(CoS_(2)-NCA)is constructed and coated on Celgard separator surface,acquiring CoS_(2)-NCA modified separator(CoS_(2)-NCA@C),which holds the promoted electrolyte affinity and flame *** revealed,CoS_(2)-NCA@C cell gives a high discharge capacity 1536.9 mAh/g at 1st cycle,much higher than that of Celgard cell(987.1 mAh/g).Moreover,the thermal runaway triggering time is dramatically prolonged by 777.4 min,corroborating the promoted thermal safety of ***,the higher coulombic efficiency stability and lower overpotential jointly confirm the efficacy of CoS_(2)-NCA@C in suppressing the lithium dendrite ***,this work can provide useful inspirations for designing functional separator,coping with the vexing issues of LSBs.

关键词： Lithium-sulfur batteries Thermal safety Flame retardancy Separator

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Enhanced formation of trihalomethane disinfection byproducts from halobenzoquinones under combined UV/chlorine conditions

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Frontiers of Environmental science & engineering 2022年第6期16卷 109-119页

作者： He Zhao Ching-Hua Huang Chen Zhong Penghui Du Peizhe Sun Beijing Engineering Research Center of Process Pollution Control Division of Environment Technology and EngineeringInstitute of Process EngineeringChinese Academy of SciencesBeijing 100190China School of Civil and Environmental Engineering Georgia Institute of TechnologyAtlantaGA 30332USA State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control School of Environmental Science and EngineeringSouthern University of Science and TechnologyShenzhen 518055China School of Environmental Science and Engineering Tianjin UniversityTianjin 300072China

Halobenzoquinones(HBQs)are highly toxic disinfection byproducts(DBPs)and are also precursors of other DBPs such as trihalomethanes(THMs).The formation of THMs from HBQs during chlorine-only and UV/chlorine processes with or without bromide was investigated *** functional theory(DFT)reactivity descriptors were also applied to predict the nucleophilic/electrophilic reactive sites on HBQs and *** results were combined to explain the different behaviors of 2,6-dichloro-1,4-benzoquinone(2,6-DCBQ)and tetrachloro-1,4-benzoquinone(TCBQ)and to propose mechanism for the promoting roles of UV and hydroxylation of HBQs in THMs *** UV/chlorine,UV significantly enhanced THMs formation from 2,6-DCBQ compared to chlorine-only,mainly due to the production of OH-DCBQ^(*).Excited 2,6-DCBQ^(*)by UV benefited nucleophilic hydrolysis to produce OH-DCBQ^(*),which favored electrophilic attack by chlorine,thereby inducing more THMs ***/chlorine modestly promoted THMs formation from TCBQ compared to *** of TCBQ and UV irradiation were both important in promoting THMs formation due to the high electrophilic property of OH-TCBQ and TCBQ^(*).Meanwhile,hydroxylation of HBQs and CHCl3 formation were enhanced at higher *** work suggested that enhanced formation of THMs from HBQs should be considered in the application of combined UV and chlorine processes.

关键词： Halobenzoquinone Trihalomethane Chlorine disinfection UV irradiation Disinfection byproducts Combined UV/chlorine

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PIM-ST: a New Paraphrase Identification Model Incorporating Sequence and Topic Information 4

PIM-ST: a New Paraphrase Identification Model Incorporating ...

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4th International Symposium on Computer Technology and Information science, ISCTIS 2024

作者： Mao, Kaili Zhao, Qingjuan Beijing Institute of Control Engineering Beijing China University Beijing Computer School Beijing Information Science and Technology Beijing China

ISBN: (纸本)9798350354560

Paraphrase identification, with the objective to determine whether two sentences are paraphrases of each other, has fostered many applications including natural language inference and document retrieval. Traditional machine learning models for paraphrase identification are generally based on hand-crafted features. Recent deep neural network models generally take semantic vectors as inputs and generate classification results directly. However, existing solutions still have much room for improvement. First, existing models do not fully exploit sequence information (i.e., the order of words) and topic information, which are important for text under-standing. Second, although deep models achieve promising results, they require a large amount of labelled data and have low interpretability. To cope with these problems, we propose a new model called PIM-ST (Paraphrase Identification Model Incorporating Sequence and Topic Information). Specifically, besides semantic information, PIM-ST extracts sequence information and topic information, and adopts a simple machine learning model LightGBM as the classifier. We conduct comparative experiments and ablation studies on two public datasets Microsoft Research Paraphrase Corpus (MSRP) and Quora Question Pairs. Experimental results show that PIM-ST achieves better results than existing state-of-the-art models. © 2024 IEEE.

关键词： Semantics

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Photo-piezoelectric synergistic degradation of typical volatile organic compounds on BaTiO_(3)

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Chinese Chemical Letters 2022年第1期33卷 410-414页

作者： Qin Liu Weina Zhao Zhimin Ao Taicheng An Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control Guangdong Key Laboratory of Environmental Catalysis and Health Risk ControlSchool of Environmental Science and EngineeringInstitute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China

Explore the photo-piezoelectric synergistic micro-mechanism by density functional theory(DFT)calculations at the electronic and atomic level is *** this work,to understand the synergistic mechanism,atomic and electronic properties of typical piezoelectric and photocatalytic material BaTiO_(3)were initially investigated with different ***,the adsorption of volatile organic compounds(VOCs)on the BaTiO_(3)(001)surface was determined during the piezoelectric *** addition,the relationship between deformation ratio,the electronic structure and adsorption energy was understood in the deformation ratio range of 7%-12%for the optimal catalytic *** results of charge density differences and Born effective charge reveal the synergistic mechanism of piezoelectric *** built-in electric field formed by polarization results in the enhanced separation of charges,which makes the surface charges aggregation,enhancing the adsorption of VOCs,and benefiting the subsequent photocatalytic *** work can provide significant theoretical guidance for the piezoelectric photocatalytic degradation of pollutants with the optimal strain range.

关键词： Photocatalysis Photo-piezoelectric synergistic Polarization Charge separation BaTiO_(3) Volatile organic compounds(VOCs)

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Competing esterification and oligomerization reactions of typical long-chain alcohols to secondary organic aerosol formation

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Journal of Environmental sciences 2023年第4期126卷 103-112页

作者： Jiaxin Wang Xiaohui Ma Yuemeng Ji Yongpeng Ji Yanpeng Gao Yuqi Xiao Guiying Li Taicheng An Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and HealthInstitute of Environmental Health and Pollution controlGuangdong University of TechnologyGuangzhou 510006China Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control Key Laboratory of City Cluster Environmental Safety and Green DevelopmentSchool of Environmental Science and EngineeringGuangdong University of TechnologyGuangzhou 510006China

Organosulfate (OSA) nanoparticles,as secondary organic aerosol (SOA) compositions,are ubiquitous in urban and rural ***,we systemically investigated the mechanisms and kinetics of aqueous-phase reactions of 1-butanol/1-decanol (BOL/DOL) and their roles in the formation of OSA nanoparticles by using quantum chemical and kinetic *** mechanism results show that the aqueous-phase reactions of BOL/DOL start from initial protonation at alcoholic OH^(-)groups to form carbenium ions (CBs),which engage in the subsequent esterification or oligomerization reactions to form OSAs/organosulfites (OSIs) or *** kinetic results reveal that dehydration to form CBs for BOL and DOL reaction systems is the rate-limiting ***,about 18%of CBs occur via oligomerization to dimers,which are difficult to further oligomerize because all reactive sites are *** rate constant of BOL reaction system is one order of magnitude larger than that of DOL reaction system,implying that relative short-chain alcohols are more prone to contribute OSAs/OSIs than long-chain *** results reveal that typical long-chain alcohols contribute SOA formation via esterification rather than oligomerization because OSA/OSI produced by esterification engages in nanoparticle growth through enhancing hygroscopicity.

关键词： Long-chain alcohols Organosulfates Aqueous phase reaction Reaction mechanisms Secondary organic aerosol

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