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MATD3-Based End-Edge Collaborative Resource Optimization for NOMA-Assisted industrial Wireless Networks

Computers, Materials & Continua 2025年第2期82卷 3203-3222页

作者： Ru Hao Chi Xu Jing Liu College of Information Engineering Shenyang University of Chemical TechnologyShenyang110142China State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyang110016China Key Laboratory of Networked Control Systems Chinese Academy of SciencesShenyang110016China

Non-orthogonal multiple access (NOMA) technology has recently been widely integrated into multi-access edge computing (MEC) to support task offloading in industrial wireless networks (IWNs) with limited radio resources. This paper minimizes the system overhead regarding task processing delay and energy consumption for the IWN with hybrid NOMA and orthogonal multiple access (OMA) schemes. Specifically, we formulate the system overhead minimization (SOM) problem by considering the limited computation and communication resources and NOMA efficiency. To solve the complex mixed-integer nonconvex problem, we combine the multi-agent twin delayed deep deterministic policy gradient (MATD3) and convex optimization, namely MATD3-CO, for iterative optimization. Specifically, we first decouple SOM into two sub-problems, i.e., joint sub-channel allocation and task offloading sub-problem, and computation resource allocation sub-problem. Then, we propose MATD3 to optimize the sub-channel allocation and task offloading ratio, and employ the convex optimization to allocate the computation resource with a closed-form expression derived by the Karush-Kuhn-Tucker (KKT) conditions. The solution is obtained by iteratively solving these two sub-problems. The experimental results indicate that the MATD3-CO scheme, when compared to the benchmark schemes, significantly decreases system overhead with respect to both delay and energy consumption.

关键词： industrial wireless networks(IWNs) multi-access edge computing(MEC) non-orthogonal multiple access(NOMA) task offloading resource allocation

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Underwater images enhancement using contrast limited adaptive parameter settings histogram equalization

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Multimedia Tools and Applications 2024年 1-15页

作者： Chen, Yahui Liang, Yitao College of Information Science and Engineering Henan University of Technology Henan Zhengzhou China Henan Key Laboratory of Grain Photoelectric Detection and Control Henan Zhengzhou China

CLAHE is widely used in underwater image processing because of its excellent performance in contrast enhancement. The selection of the clip point formula is the core problem of the CLAHE methods, and the selection of suitable clipping value has become the focus of some extended methods. In this paper, an automatic CLAHE underwater image enhancement algorithm is proposed. The method determines the clipping value according to the high-order moment dynamic features of each block of the underwater image. By quantifying the dynamic features of each block in the image more precisely, and then adding it to the clipping value formula, the contrast and details of the underwater image can be effectively enhanced. In order to effectively improve the saturation and brightness of underwater images, this paper chooses a more accurate and intuitive HSV model. Experimental results show that our methods enhance the contrast subjectively, while suppressing the amplification of noise very well, and also increase the saturation of underwater images. In objective metrics, our method obtains the best values in underwater quality assessment (UIQM), SSIM, and PSNR. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2024.

关键词： Underwater imaging

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Research on river surface velocimetry monitoring method Based on video surveillance

Research on river surface velocimetry monitoring method Base...

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第35届中国过程控制会议

作者： Jiaqi Xu Yining Zhao Xinao Jin Yuqi Cao Guangxin Zhang Dibo Hou State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University

The allocation and utilization of water resources have always been the focus of social development concerns. River flow velocity is the basis for flow rate estimation and is very important hydrological information. The most widely used contact flowmeters require manual wading to place the instrument in water, making them difficult to deploy over large areas. In this paper, an optical flow estimation method of river surface velocity detection based on RAFT is constructed to obtain flow velocity and direction information. To solve the interference problem caused by flying insects and birds, a flow velocity and direction outlier identification method based on Gaussian Mixture Model is investigated. Results demonstrate that the method can effectively and accurately realize real-time monitoring of river surface velocity, providing important information for water allocation, flood prevention and control.

关键词： River Surface Velocity Optical Flow Estimation Adaptive Histogram Equalization Gaussian Mixture Model Pixel-Based Adaptive Segmenter

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Separation of oil debris aliasing signals based on fractional-order integral filter and auto encoder

Separation of oil debris aliasing signals based on fractiona...

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第35届中国过程控制会议

作者： Minglv Jin Ning Wang Baiyu Zhu Dibo Hou Pingjie Huang Hongjian Zhang State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University

Inductive oil debris monitoring has played an important role in monitoring the working conditions of mechanical systems. However, when two or more wear debris pass through the sensor at a close distance, the sensor's signal experiences aliasing, impacting the peak-to-peak value of the wear particle signals, which can lead to false alarms from the sensor. A framework is proposed for separating aliased signals, which includes a fractional-order integral filter and a model based on auto encoder and convolutional neural networks. Experimental results show that, compared to the unseparated signals, the method proposed in this paper reduces the average error rate of peak-to-peak value from 53.05% to 17.21%.

关键词： aliasing signal separation oil debris sensor auto encoder convolutional neural networks

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Enhancing corn stalk-based anaerobic digestion with different types of zero-valent iron added during the acidification stage:Performance and mechanism

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Journal of Environmental sciences 2024年第11期145卷 64-74页

作者： Xiang Liu Yue Liu Min Wang Qianzhen Deng Hao Yang College of Agricultural Science and Engineering Hohai UniversityNanjing 210098China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China National and Local Joint Engineering Research Center of Ecological Treatment Technology for Urban Water Pollution Wenzhou UniversityWenzhou 325035China Anhui Provincial Key Laboratory of Environmental Pollution Control and Resource Reuse Anhui Jianzhu UniversityHefei 230009China

Anaerobic digestion has been defined as a competitive approach to facilitate the recycling of corn ***,few studies have focused on the role of direct interspecies electron transfer(DIET)pathway in the acidification stage under the addition of different particle sizes of zero-valent iron(ZVI).In this study,three types of ZVI,namely iron filings,iron powder and nanoscale iron,were investigated,respectively,to enhance its high-value *** in volatile fatty acids(VFAs)and methane(CH4)production associated with the underlyingmechanisms were emphatically *** indicated that the addition of ZVI could increase the concentration of VFAs,with the most outstanding performance observed with the use of nanoscale ***,the conversion of propionic acid to acetic acid was driven by adding ZVI with no between-group differences in acidizing ***,the substrate was more fully utilized when supplied with iron powder compared with other groups in methanogenic phase,thereby displaying the maximumCH4 yield with a value of 263.1 mL/(g total solids(TS)).However,adding nanoscale iron could signally shorten the digestion time(T80),saving 7 days in comparison to the group of iron powder.

关键词： Zero-valent iron Corn stalk Anaerobic digestion Volatile fatty acids Methane

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Fine-grained Defect Information Prediction Based key Factors Identification Method for Strip Steel Manufacturing

Fine-grained Defect Information Prediction Based Key Factors...

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第35届中国过程控制会议

作者： Jinchuan Qian Xuerui Zhang Songyan Pi Zhihuan Song Bojian Chen Xinmin Zhang State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University

The surface defect is a key factor affecting the quality of steel products, and have attracted great attention in practical strip steel manufacturing. To accurately analyze key factor for improving product quality, this paper proposes a fine-grained defect information prediction based key factors identification method(FDP). The training of the proposed FDP is supervised by fine-gained defect-related information, which is obtained by a designed defect rate calculation strategy. In addition, after combing with data mode clustering, the final identification results are presented by a two-stage explainable method indicated by importance scores.

关键词： Explainable AI Surface Defects Steelmaking Process key Factors Identification

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Round-robin Multivariate state Estimation Fault Detection Method based on Cross-domain Collaboration Learning

Round-robin Multivariate State Estimation Fault Detection Me...

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第35届中国过程控制会议

作者： Yan Liu Yiyang Shou Zuhua Xu Jun Zhao Chunyue Song State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University

industrial process data exhibits multi-mode and nonstationary characteristics in the spatial and temporal domain, causing unsatisfactory performance of conventional multivariate statistical fault detection methods. Therefore, we propose a novel round-robin multivariate state estimation fault detection method based on cross-domain collaboration learning, which aims to fully excavate the collaborative information for accurate fault detection. Moreover, to overcome the underdetermined problem of conventional multivariate state estimation fault detection methods, the round-robin multivariate state estimation model in collaborative feature space is constructed for fault detection. Simulation on the Tennessee Eastman process has validated the effectiveness of the proposed method.

关键词： Fault detection Feature collaboration learning Cross-domain transfer network Round-robin multivariate state estimation method

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Preconditioning Based Iterative Learning control for Initialized Fractional Order Systems with Nonuniform Trial Lengths

Preconditioning Based Iterative Learning Control for Initial...

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第35届中国过程控制会议

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

Nonuniform Trial Length is a frequent non-repetitive factor in iterative systems. To maintain the effectiveness of iterative learning control for such systems, this paper proposes a preconditioning based iterative learning control scheme for initialized fractional order nonlinear systems with iteration-varying trial lengths. A generalized system tracking error based on probability distribution is applied to address the uncertain trial lengths. In addition, the system preconditioning strategy is adopted to suppress the unknown initialization responses and maintain the repeatability of system dynamics. On this basis, the convergence condition of a novel Dα-type iterative updating law is strictly derived, and the result shows that the tracking error can converge to any desired range by adjusting the preconditioning horizon. Compared with existing results, the proposed strategy has better applicability and physical interpretability. Finally, a numerical example is presented to demonstrate the theoretical results.

关键词： Fractional Calculus Iterative Learning control System Preconditioning Nonuniform Trial Length

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Channel erosion and its impact on environmental flow of riparian habitat in the Middle Yangtze River

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Environmental science and Ecotechnology 2024年第4期20卷 229-236页

作者： Shanshan Deng Junqiang Xia Heng Zhu Jie Liang Huiwen Sun Xin Liu State Key Laboratory of Water Resources Engineering and Management Wuhan UniversityWuhan430072China College of Environmental Science and Engineering Hunan UniversityKey Laboratory of Environmental Biology and Pollution Control(Hunan University)Ministry of EducationChangsha410082China

Evaluating environmental flow(EF)is pivotal for conserving and restoring riverine ***,prevalent EF evaluations presume that a river reach's hydraulic conditions are exclusively governed by inflow discharge,presupposing a state of equilibrium in the river *** presumption narrows the scope of EF evaluations in expansive alluvial rivers like the Middle Yangtze River(MYR),characterized by marked channel *** we show the profound channel erosion process and its impact on EF requirements for riparian habitats within the *** research unveils that:(i)pronounced erosion has led to a mean reduction of 1.0-2.7 m in the riverbed across four sub-reaches of the MYR;(ii)notwithstanding a 37-107%increase in minimal discharges post the Three Gorges Project,the lowest river stages at some hydrometric stations diminished owing to bed erosion,signifying a notable transformation in MYR's hydraulic dynamics;(iii)a discernible rightward shift in the correlation curve between the weighted useable area and discharge from 2002 to 2020 in a specific sub-reach of the MYR,instigated by alterations in hydraulic conditions,necessitated an increase of 1500e2600 m^(3)s^(-1)in the required EF for the sub-reach;(iv)it is deduced that macroinvertebrate biomass rapidly decreases as the flow entrains the riverbed substrate,with the maximum survivable velocity for macroinvertebrates being contingent on their entrainment *** findings highlight the importance of incorporating channel morphological changes in devising conservation strategies for the MYR ecosystem.

关键词： Increased environmental flow requirement River bed level lowering Hydraulic condition change Middle Yangtze River

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All in one doubly pillared MXene membrane for excellent oil/water separation,pollutant removal,and anti-fouling performance

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Chinese Journal of Structural Chemistry 2024年第8期43卷 38-47页

作者： Changle Liu Mingyuzhi Sun Haoran Zhang Xiqian Cao Yuqing Li Yingtang Zhou Zhejiang Key Laboratory of Petrochemical Environmental Pollution Control National Engineering Research Center for Marine AquacultureMarine Science and Technology CollegeZhejiang Ocean UniversityZhoushan316004China

Given the diversity and complexity of coexisting oil/dyes/heavy metal ions/microorganisms in wastewater and volatile organic compounds(VOCs)in the air,developing separation materials featured in higher separation efficiency and lower energy consumption for oil and water separation,pollutant removal,and anti-fouling is urgently needed,but it remains a major challenge till ***,a multifunctional Ti_(3)C_(2)MXene membrane with unique double pillar support was proposed by liquid phase ultrasonication and vacuum filtration to over-come the above *** cetyl-trimethyl ammonium bromide(CTAB)and calcium chloride/sodium alginate(CaCl_(2)/SA)to the MXene membrane as crossed double pillars and superhydrophilic surface increases the tolerance and wettability of the *** fabricated doubly pillared MXene(d-Ti_(3)C_(2))membrane exhibits superior oil/water(O/W)separation efficiency(99.76%)with flux(1.284 L m^(-2)h^(-1))for canola oil and organic dye removing efficiency for methyl blue(MB)99.85%,malachite green(MG)100%,and methyl violet(MV)99.72%,respectively,which is 1.05,1.44,1.22,and 1.28 fold compared with pre-pillared Ti_(3)C_(2)(p-Ti_(3)C_(2)).The superior anti-oil/dye/fouling is attributed to lower oil conglutination,high hydrophily,and antibacterial *** versatile MXene membrane also shows distinguished separation of VOCs(η>99%)from polluted *** experimental and molecular dynamics(MD)computational simulation results illustrate that the superior sepa-ration efficiency of the Ti_(3)C_(2)MXene membrane is ascribed to the unique doubly pillared space *** study paves a new road to further research on one step integration strategy for complex O/W separation,wastewater and VOCs removal,and anti-fouling via tuning nano/macro architecture.

关键词： MXene Pillared structure Oil/water separation Pollutants Anti-fouling Volatile organic compounds

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