检索结果-内蒙古大学图书馆

Data Driven control and Learning Systems (DDCLS)

作者： Yubin Cheng Zhihuan Song Xiaoyu Jiang Le Yao State Key Laboratory of Industrial Control Technology Institute of Industrial Process Control College of Control Science and Engineering Zhejiang University Hangzhou China School of Mathematics Hangzhou Normal University Hangzhou China

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

In recent years, pre-trained foundation models have developed rapidly and have been applied to various downstream tasks through fine-tuning methods. However, due to the existence of data silos, the lack of data for fine-tuning has become a vital issue preventing the application of the foundation model to industry. In addition, the high complexity of the network makes the foundation model prone to overfitting when used for data-constrained industrial tasks. Therefore, a federated tuning approach with adaptive weight shrinking, named FedAWS, is proposed for collaborative fine-tuning between factories. FedAWS adaptively selects the weight-shrinking factor to reduce overfitting and improve the generalization of the global model without relying on additional data sets or human experience. The case study on an industrial dataset demonstrates the effectiveness of FedAWS. This successful validation provides a new way for inter-factory collaboration to apply the foundation model to industry, thus facilitating the efficient utilization of industrial data.

关键词： Industries Learning systems Adaptation models Collaboration control systems Data models Production facilities

来源：评论

学校读者我要写书评

暂无评论

Higher N_(2)O production in sequencing batch reactors compared to continuous stirred tank reactors:effect of feast-famine cycles

引用

Frontiers of Environmental Science & Engineering 2023年第4期17卷 143-154页

作者： Xinjie Yan Xunyu Shen Jipeng Wang Jinlong Zhuang Yu Wang Jinchi Yao Hong Liu Yongdi Liu James P.Shapleigh Wei Li National Engineering Research Center of Industrial Wastewater Detoxication and Resource Recovery East China University of Science and TechnologyShanghai 200237China State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process School of Resources and Environmental EngineeringEast China University of Science and TechnologyShanghai 200237China School of Environmental and Safety Engineering Changzhou UniversityChangzhou 213164China Shanghai Huayi Group Co.Ltd. Shanghai 201108China Shanghai Institute of Pollution Control and Ecological Security Shanghai 200237China Department of Microbiology Cornell UniversityIthacaNY 14850USA

Nitrous oxide(N_(2)O)is a potent greenhouse gas that can be emitted during the biological treatment of *** this study,a comparison of the long-term performance characteristics and N_(2)O production of sequencing batch reactors(SBR)and continuous stirred tank reactors(CSTR)during nitrite-based denitrification was *** was found that both reactors had NO_(2)^(-)-N removal efficiencies over 99.9%,but the N_(2)O-N emissions from the SBR reached~2.3%of the removal nitrite-N load,while in the CSTR it never exceeded 0.1%.High frequency sampling during one operation cycle of the SBR demonstrated that the N_(2)O accumulation ratio was~0.1%during the feast period,increased to~1.9%in the first five hours of the famine period,and then gradually reached~2.3%at the end of *** experiments showed that limiting extracellular electron donor is required for N_(2)O accumulation in cells from the SBR-famine period and that cells from the CSTR do not accumulate N_(2)O when either nitrite or carbon is *** notable difference in the two reactor communities was the high level of accumulation of intracellular granules,most likely polyhydroxybutyrate(PHB),in cells during the feast period in the *** assembly and binning found that one genome(PRO1),which is a Thauera,accounted for over half the metagenomic reads in both *** shifts in gene regulation nor community composition explained the observed differences in reactor performance suggesting some post-transcriptional regulation obligatorily linked to antecedent conditions underly increased N_(2)O production in the SBR.

关键词： Denitrifying N_(2)O mitigation SBR CSTR Meta-omics PHB

来源：评论

学校读者我要写书评

暂无评论

Carbon compounds, internal stress and hydrogen permeability in carbon-doped TiZrN coatings by laser ablation

引用

Ceramics International 2025年第16期51卷 21987-21995页

作者： Kim, Seonghoon Hong, Eunpyo Choi, Young-kyu Lee, Seahoon Lee, Youngjae Choi, Yongsup Lee, Heesoo Extreme Materials Research Institute Korea Institute of Materials Science Changwon51508 Korea Republic of Mechanical & Material Technology Center Korea Testing Laboratory Jinju52852 Korea Republic of Research Institute of Sustainable Development Technology Low-Carbon Emission Control R&D Department Korea Institute of Industrial Technology Cheonan31056 Korea Republic of Institute of Plasma Technology Korea Institute of Fusion Energy Gunsan54004 Korea Republic of School of Materials Science and Engineering Pusan National University Busan46241 Korea Republic of

Internal stress has emerged as a crucial factor in determining the lifetime of hydrogen permeation barrier coatings, as it influences the hydrogen isotope diffusion and crack propagation. Here, we fabricated carbon-doped TiZrN coatings under different laser outputs, and investigated the changes in hydrogen permeability due to carbon compound formation and internal stress induced by laser shock peening. Based on ToF-SIMS, the carbon penetration depth in the coating was confirmed to be up to 500 nm, depending on the laser output. Using XPS and Raman analysis, it was confirmed that doped carbon substituted nitrogen sites in TiZrN, forming TiC and ZrC, and increasing carbide content from 4.1 % to 7.4 %. Notably, as the laser output increased from 30 % to 40 %, the sp2/sp3 ratio rose from 1.33 to 2.67, and the ID/IG ratio increased from 0.81 to 1.33, indicating the formation of an amorphous carbon-embedded (Ti, Zr)(C, N) structure. This was complemented by the transformation of the TEM-SAED pattern from dot patterns to ring patterns. The internal stress in carbon-doped TiZrN coatings increased from 4.323 GPa before carburization to a maximum of 5.620 GPa. The increase in residual compressive stress led to a reduction in hydrogen permeability by up to 69 %, 57 %, and 24 % at 573 K, 673 K, and 773 K, respectively. This study advances the understanding of carbon compound formation and internal stress changes in TiZrN coatings under different laser output. It demonstrates that the formation of residual compressive stress due to laser shock peening significantly influences the hydrogen permeability by inhibiting hydrogen isotope diffusion and crack propagation within the coating. © 2025 Elsevier Ltd and Techna Group S.r.l.

关键词： Laser ablation

来源：评论

学校读者我要写书评

暂无评论

In-situ forming ultra-mechanically sensitive materials for high-sensitivity stretchable fiber strain sensors

引用

national Science Review 2024年第6期11卷 254-263页

作者： Rouhui Yu Changxian Wang Xiangheng Du Xiaowen Bai Yongzhong Tong Huifang Chen Xuemei Sun Jing Yang Naoji Matsuhisa Huisheng Peng Meifang Zhu Shaowu Pan State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Materials Science and Engineering Donghua University MOE Key Lab of Disaster Forecast and Control in Engineering School of Mechanics and Construction Engineering Jinan University State Key Laboratory of Molecular Engineering of Polymers Department of Macromolecular Science and Institute of Fiber Materials and Devices Fudan University Department of Cardiology Shanghai Xuhui Central HospitalZhongshan-Xuhui Hospital Fudan University Research Center for Advanced Science and Technology and Institute of Industrial Science The University of Tokyo

Fiber electronics with flexible and weavable features can be easily integrated into textiles for wearable applications. However, due to small sizes and curved surfaces of fiber materials, it remains challenging to load robust active layers, thus hindering production of high-sensitivity fiber strain sensors. Herein, functional sensing materials are firmly anchored on the fiber surface in-situ through a hydrolytic condensation *** anchoring sensing layer with robust interfacial adhesion is ultra-mechanically sensitive, which significantly improves the sensitivity of strain sensors due to the easy generation of microcracks during stretching. The resulting stretchable fiber sensors simultaneously possess an ultra-low strain detection limit of 0.05%, a high stretchability of 100%, and a high gauge factor of 433.6, giving 254-folds enhancement in sensitivity. Additionally, these fiber sensors are soft and lightweight, enabling them to be attached onto skin or woven into clothes for recording physiological signals, e.g. pulse wave velocity has been effectively obtained by them. As a demonstration, a fiber sensor-based wearable smart healthcare system is designed to monitor and transmit health status for timely intervention. This work presents an effective strategy for developing high-performance fiber strain sensors as well as other stretchable electronic devices.

关键词： fiber strain sensor stretchable wearable healthcare

来源：评论

学校读者我要写书评

暂无评论

Adaptive Power Regulation control for Floating Wind Turbines with Guaranteed Transient Performance

引用

IEEE Transactions on Automation Science and Engineering 2025年 22卷 15588-15598页

作者： Gong, Yingjie Meng, Wenchao Geng, Hua Yang, Qinmin Zhejiang University State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Hangzhou310027 China Tsinghua University Beijing National Research Center for Information Science and Technology Department of Automation Beijing100084 China Huzhou Industrial Control Technology Research Institute Huzhou313000 China

Floating offshore wind turbines (FOWTs) hold significant potential for developing wind energy in deep-sea areas. However, they are prone to additional motions, heavy workloads, and undesirable fluctuations under combined wind-wave loads. To tackle these issues, this paper presents a novel adaptive blade pitch control strategy with guaranteed transient performance for FOWTs operating in above-rated wind speed regions. This strategy effectively suppresses platform pitch motion to enhance system stability while maintaining the power output at its rated value. Specifically, this method initiates by defining a filtered regulation error to solve the non-affine nature of its model. An adaptive blade pitch controller is subsequently proposed, integrating an online learning approximator to cope with the unknown dynamics caused by unmeasurable external environmental inputs and model uncertainties. To further mitigate approximation errors, a nonlinear robust control law with adaptive gains is employed, enhancing the robustness and adaptive capabilities of the controller. Superior to the traditional adaptive controllers, a significant advantage of this strategy is its ability to quantify and ensure regulatory performance within predefined constraints during both transient and steady-state stages, thereby achieving high-performance control in power regulation. Finally, simulation studies are conducted using the OpenFAST software to show the capability of the presented blade pitch controller, which guarantees stable power generation with guaranteed transient performance. © 2004-2012 IEEE.

关键词： Robust control

来源：评论

学校读者我要写书评

暂无评论

Review on electrochemical carbon dioxide capture and transformation with bipolar membranes

引用

Chinese Chemical Letters 2023年第8期34卷 114-129页

作者： Jinyun Xu Guoqiang Zhong Minjing Li Di Zhao Yu Sun Xudong Hu Jiefang Sun Xiaoyun Li Wenju Zhu Ming Li Ziqi Zhang Yu Zhang Liping Zhao Chunming Zheng Xiaohong Sun School of Chemical Engineering Tianjin Key Laboratory of Green Chemical Technology and Process EngineeringState Key Laboratory of Separation Membrane and Membrane ProcessesTiangong UniversityTianjin 300387China School of Materials Science and Engineering Key Laboratory of Advanced Ceramics and Machining TechnologyMinistry of EducationTianjin UniversityTianjin 300072China Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food poisoning Beijing Center for Disease Prevention and ControlBeijing 100013China Advanced Materials Research Laboratory CNOOC Tianjin Chemical Research and Design InstituteTianjin 300131China

Anthropogenic carbon dioxide(CO_(2))emission from the combustion of fossil fuels aggravates the global greenhouse *** implementation of CO_(2)capture and transformation technologies have recently received great attention for providing a pathway in dealing with global climate *** these technologies,electrochemical CO_(2)capture technology has attracted wide attention because of its environmental friendliness and flexible operating *** membranes(BPMs)are considered as one of the key components in electrochemical devices,especially for electrochemical CO_(2)reduction and electrodialysis *** create an alkaline environment for CO_(2)capture and a stable pH environment for electrocatalysis on a single *** key to CO_(2)capture in these devices is to understand the water dissociation mechanism occurring in BPMs,which could be used for optimizing the operating conditions for CO_(2)capture and *** this paper,the references and technologies of electrochemical CO_(2)capture based on BPMs are reviewed in detail,thus the challenges and opportunities are also discussed for the development of more efficient,sustainable and practical CO_(2)capture and transformation based on BPMs.

关键词： Bipolar membranes Carbon dioxide Electrochemical capture Transformation CO_(2)reduction Electrodialysis devices Water dissociation

来源：评论

学校读者我要写书评

暂无评论

Dynamic Fault Detection Based on Variational Bayesian Mixture Probabilistic Principal Component Analysis 11

Dynamic Fault Detection Based on Variational Bayesian Mixtur...

引用

11th IEEE Data Driven control and Learning Systems Conference, DDCLS 2022

作者： Huang, Chenghong Chai, Yi Wei, Chihang Zhu, Zheren Chongqing University College of automation Chongqing400044 China Hangzhou Normal University School of Information Science and Technology Hangzhou311121 China Institute of Industrial Process Control College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China

ISBN: (数字)9781665496759

ISBN: (纸本)9781665496759

It is essential to achieve real-time fault detection of the industrial process to reduce the occurrence of accidents during the industrial process. However, there are some problems in the actual monitoring process, such as the instability of sensor measurement, losing packet while transferring data, which causes problems like missing data and outliers while sampling from actual monitoring data. In addition, the monitoring data are interrelated in time series. Thus, a fault detection method based on DMPPCA model is proposed in this study. DMPPCA can not only consider the above problems at the same time, but also determine the dimension of latent variables automatically. Finally, the effect of proposed DMPPCA model was validated by a three-phase flow facility. © 2022 IEEE.

关键词： Fault detection

来源：评论

学校读者我要写书评

暂无评论

GPP estimation of a grassland ecosystem based on photosynthesis-hydrology coordination optimization

GPP estimation of a grassland ecosystem based on photosynthe...

引用

2024 China Automation Congress, CAC 2024

作者： Fu, Lijiang Tan, Jinglu Jiang, Yongnian Allakhverdiev, Suleyman I. Xu, Zhenyu Guo, Ya Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Jiangnan University Wuxi China Department of Chemical & Biomedical Engineering University of Missouri ColumbiaMO United States Jiangsu Zhongnong IoT Technology Co. LTD Yixing China Timiryazev Institute of Plant Physiology RAS Moscow Russia Longcom Internet of Things Co. Ltd Hefei China Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Jiangnan University Wuxi China

ISBN: (纸本)9798350368604

Accurate estimation of gross primary production (GPP, ecosystem level photosynthesis) is critical for monitoring terrestrial ecosystems. However, most of the current models used for GPP estimation are with many unknown parameters and rarely include the effects of soil water stress due to the covariation of soil moisture and air humidity. In addition, grasslands, as the most widely distributed ecosystems in the world, have simple ecosystem structure and are easily affected by soil drought. Therefore, in this paper, we applied photosynthesis-hydrology coordination optimization theory and soil water potential based on soil moisture effect to develop a combined model (PH model) for GPP estimation of grassland ecosystems and used the US-Var grassland ecosystem, one of the FLUXNET sites from January to July 2004 (the driest period in recent years) as an example to validate the model. The results show that the model can effectively track the measured GPP during soil drought period and is better than the result from another commonly used photosynthesis coordination model (P-model) which does not consider the effect of soil drought. Further, we can infer the vegetation photosynthetic capacity parameters including the maximum carboxylation capacity (Vcmax) and the maximum electron-transport capacity (Jmax) under the effect of soil drought. The result also shows that if soil drought is not considered, the photosynthetic capacity parameters of vegetation will be overestimated. These results provide evidence for the application of photosynthesis-hydrology coordination theory in the assessment of ecosystem carbon cycle under the intensified climate changes. © 2024 IEEE.

关键词： coordination optimization theory GPP estimation soil drought

来源：评论

学校读者我要写书评

暂无评论

Stabilization of switched systems with unstable modes via mode-partition-dependent ADT

引用

Journal of the Franklin institute 2023年第2期360卷 1308-1326页

作者： Jin, Cui-Li Wang, Qing-Guo Wang, Rui Wu, Di Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education and School of Control Science and Engineering Dalian University of Technology Dalian116024 China Institute of Artificial Intelligence and Future Networks Beijing Normal University at ZhuhaiGuangdong Key Lab of AI and Multi-Modal Data Processing BNU-HKBU United International College Zhuhai519087 China Key Laboratory of Advanced Technology for Aerospace Vehicles Liaoning Province and School of Aeronautics and Astronautics Dalian University of Technology Dalian116024 China

This paper concerns the stability of switched systems orchestrating between unstable modes. First, a mode partition is applied to select stabilizing switching from the switching between modes from different subsets. Second, a piecewise Lyapunov-like function is applied to decline at stabilizing switching times. Then, the stability criteria build on mode-partition-dependent average dwell time by collecting enough stabilizing switching behavior to stabilize the destabilizing switching behavior and unstable modes. Finally, the simulation verification shows the feasibility and effectiveness of the method. © 2022 The Franklin institute

关键词： Stability criteria

来源：评论

学校读者我要写书评

暂无评论

A Photoplethysmography Signal Compression Method of Extreme Learning Machine 42

A Photoplethysmography Signal Compression Method of Extreme ...

引用

42nd Chinese control Conference, CCC 2023

作者： Zhou, Yan An, Aimin Liu, Jicheng Chou, Yongxin College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou730000 China School of Electrical and Automatic Engineering Changshu Institute of Technology Suzhou215000 China Key Laboratory of Gansu Advanced Control for Industrial Processes Lanzhou730050 China Lanzhou University of Technology National Demonstration Center for Experimental Electrical and Control Engineering Education Lanzhou730050 China

ISBN: (纸本)9789887581543

As one of the important physiological signals for human health monitoring, there are massive photoplethysmography (PPG) signals and excessive demands on storage and network communication resources for long time monitoring. Therefore, it is desirable to compress the PPG signal where redundancy exists without losing important information. In this paper, a PPG signal compression method with extreme learning machine (ELM) is proposed. ELM does not require iterative adjustment of the hidden layer parameters and has the advantages of high generalization ability and fast learning speed. First, the PPG signal is segmented and processed as input and output data. Second, the parameters of the hidden layer based on the set training set is calculated. Then, the obtained parameters are used to compress and reconstruct the PPG signal, one PPG wave band at a time, until the end of the training. Comparing with the error Back Propagation Training (BP) neural network, for the 4 min sampled data, the average time to compress and reconstruct the PPG signal is 0.026±0.007, the MSE is 0.004±0.004 and the MAD is 0.031±0.026. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Neural networks

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：