检索结果-内蒙古大学图书馆

Data Driven control and Learning Systems (DDCLS)

作者： Jian-Ping Zhang Lin-Bao Deng Chun-Hua Xie School of Electrical and Automation Engineering East China Jiaotong University Nanchang Jiangxi China State Key Laboratory of Performance Monitoring Protecting of Rail Transit Infrastructure East China Jiaotong University Nanchang Jiangxi China Key Laboratory of Advanced Control & Optimization of Jiangxi Province Nanchang Jiangxi China

Accurate tracking of position and velocity is a critical problem to be solved for the automatic train operation (ATO) system. However, achieving automatic operation for high-speed trains (HSTs) is difficult due to unknown disturbances and actuator faults. This paper uses an improved disturbance observer-based control (IDOBC) strategy to solve this issue. Each carriage is considered a particle and connected by a flexible coupler to establish the multiple point-mass model for HSTs by considering unknown lumped disturbances and actuator faults. For the lumped disturbances caused by the external environment, an improved disturbance observer is designed to compensate for the impact caused by this component on HSTs. Based on the given linear matrix inequality, the HSTs system satisfies the $H_{\infty}$ performance under the IDOBC strategy. Compared with traditional DOBC, the proposed IDOBC has higher tracking accuracy.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Halogenated Thienoacene Derivatives with Improved Emission Properties

引用

Chemical Research in Chinese Universities 2024年第4期40卷 699-703页

作者： ZHANG Jingmei MENG Zhihao ZHEN Yonggang HE Ping YU Panpan HU Wenping Advanced Innovation Center for Soft Matter Science and Engineering State Key Laboratory of Organic-Inorganic CompositesBeijing University of Chemical TechnologyBeijing100029P.R.China Wuhan National Laboratory for Optoelectronics Huazhong University of Science and TechnologyWuhan430074P.R.China State Key Laboratory of Fine Chemicals Dalian University of TechnologyDalian116024P.R.China Chemical Synthesis and Pollution Control Key Laboratory of Sichuan Province China West Normal UniversityNanchong637000P.R.China Key Laboratory of Fluorine and Silicon for Energy Materials and Chemistry of Ministry of Education Jiangxi Normal UniversityNanchang330022P.R.China MOE Key Laboratory of Organic Integrated Circuits&Tianjin Key Laboratory of Molecular Optoelectronic Sciences Department of ChemistrySchool of SciencesTianjin UniversityTianjin300072P.R.China

Thienoacenes is one of most important groups of semiconducting materials due to the high stability and superior ***,there are scarce studies on the emission properties of thienoacenes to ***,we synthesized fluorinated and chlorinated dibenzo[d,d’]thieno[3,2-b;4,5-b’]dithiophenes(DBTDTs)derivatives F6-DBTDT and Cl6-DBTDT by sulfoxide cyclization,significantly lowering the energy levels relative to the parent compound *** to single crystal structure analysis,F6-DBTDT molecules adopt one-dimensional slipped stacking with closeπ-πinteractions of 3.43Å(1Å=0.1 nm),which is different from the parent compound DBTDT with herringbone stacking ***,the halogenated DBTDT derivatives exhibit enhanced emission properties both in solution and in the solid state,opening up possiblities to improve photoluminescence of thienoacences by halogenation.

关键词： Thienoacene Halogenation Photoluminescence Aggregation structure

来源：评论

学校读者我要写书评

暂无评论

Tendencies of alloyed engineering in BiOX-based photocatalysts:a state-of-the-art review

引用

Rare Metals 2024年第4期43卷 1488-1512页

作者： Yan-Dong Sun Chao Zeng Xue Zhang Zi-Qi Zhang Bo Yang Sheng-Qi Guo Tianjin Key Laboratory of Clean Energy and Pollutant Control School of Energy and Environmental EngineeringHebei University of TechnologyTianjin300401China State-Province Joint Engineering Laboratory of Zeolite Membrane Materials Institute of Advanced MaterialsCollege of Chemistry and Chemical EngineeringJiangxi Normal UniversityNanchang330022China Anhui Province Key Laboratory of Pollutant Sensitive Materials and Environmental Remediation School of Physics and Electronic InformationAnhui Province Industrial Generic Technology Research Center for Alumics MaterialsHuaibei Normal UniversityHuaibei235000China

Energy-saving and environmentally friendly photocatalysis has emerged as a popular research area in response to issues with energy scarcity and environmental *** to the unique layer-like structure,BiOX(Cl,Br,I)is frequently used in ***,inherent flaws in BiOX,such as an inappropriate band gap and low carrier separation efficiency,restrict its capacity for *** to the tunable grouping layer,alloying engineering is employed to optimize the intrinsic properties of BiOX and alloyed BiOX becomes a promising photocatalytic *** review describes the structure of BiOX,where tunable halogen layers provide favorable conditions for the implementation of alloying engineering to improve intrinsic *** article compares the effects and mechanisms of alloying engineering on the optimization of the energy band structure and carrier behavior of BiOX,and lists various modification methods used to improve the optimization of the intrinsic properties by alloying engineering,including defect engineering,morphology control as well as the synergy between alloying and other modification methods(bismuth-rich strategies,cation doping,construction of heterojunctions and plasma resonance effects).Subsequently,applications of alloyed BiOX in energy and environmental fields are summarized,including contaminant degradation,antibacterial,CO_(2)reduction,nitrogen fixation and organic ***,we summarize the current challenges and future directions of alloyed *** is expected that this work will provide guidance and assistance for an in-depth study and understanding of the mechanisms of alloying engineering to optimize intrinsic properties and design alloyed BiOX with higher photocatalytic activity.

关键词： Bismuth oxyhalide Photocatalytic Alloyed engineering Microstructural regulation Application

来源：评论

学校读者我要写书评

暂无评论

Obtaining frequency-time diagram from perturbation signal-time diagram 7

Obtaining frequency-time diagram from perturbation signal-ti...

引用

7th International Conference on Physics, Mathematics and Statistics, ICPMS 2024

作者： Liu, Xiaoyuan Zhang, Yuxin Dai, Runrui Lai, Zongqiang Qiu, Huibin Shen, Chengshuo Weng, Huang Wu, Shengfa Zheng, Wei Zhang, Wei Liang, Wenxiang Han, Qianhao Li, Xiaobin Liu, Lihuan Shi, Chunhui Xu, Ting Zhang, Haotian Fan, Jiayu Yu, Meiping Tao, Jiajun Jiangxi Province Key Laboratory of Fusion and Information Control Department of Physics Nanchang University Nanchang330031 China NCU-ASIPP Magnetic Confinement Fusion Joint Lab Institute of Fusion Energy and Plasma Application Nanchang University Nanchang330031 China International Joint Research Laboratory of Magnetic Confinement Fusion and Plasma Physics State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan China

In the field of nuclear fusion energy development, magnetic confinement tokamak reactors, which use strong magnetic fields to confine high-temperature plasmas, are crucial for sustainable and clean fusion energy. Disruption caused by plasma instability can terminate the fusion reaction and even cause irreparable damage to the equipment. Therefore, a thorough understanding of the underlying physical mechanisms is essential for predicting and preventing plasma disruption. The recently proposed analytical theory of plasma disruption may predict and prevent plasma disruption, but its validation requires the frequency-time signals. The Heavy Ion Beam Probe (HIBP) can provide such signals, however, because its scarcity in the world, particularly in China, it is necessary to develop more suitable methods. Here we show a new approach that employs Fast Fourier Transform (FFT) on magnetic perturbation signals to obtain frequency-time diagrams. We successfully applied this algorithm to acquire the frequency-time diagram of the J-TEXT-1054560 discharge. This new method offers an effective tool for validating the plasma disruption theory, overcoming the limitations of traditional techniques and providing a crucial methodological basis for understanding and predicting plasma disruption. This new analytical approach will accelerate the advancement of fusion technology. © Published under licence by IOP Publishing Ltd.

关键词： Heavy ions

来源：评论

学校读者我要写书评

暂无评论

Human Behavior Recognition based on Residual Generative Adversarial Networks

Human Behavior Recognition based on Residual Generative Adve...

引用

2022 International Conference on Computer, Artificial Intelligence, and control Engineering, CAICE 2022

作者： Hongbin, Tu Tianhua, Zhan Dongliang, Hu College of Electrical and Automation Engineering East China Jiaotong University Jiangxi Nanchang330013 China Changsha Information Research Institute Hunan Great Wall Technology Information Company Limited Hunan Changsha410000 China Jiangxi Key Laboratory of Advanced Control and Optimization East China Jiaotong University Jiangxi Nanchang330013 China

ISBN: (纸本)9781510655942

In order to improve the accuracy of human action recognition, a Residual Generative Adversarial Network (Res-GAN) method is proposed by combining the characteristics of Generative Adversarial Networks and Residual Networks. The generator uses an improved residual block extraction feature to obtain deep texture information and enhance the regularization of the model;residual blocks construct the discriminator. On the one hand, the accuracy of image feature extraction is improved, and the convergence speed of the network is accelerated. On the other hand, the discriminator performs the classification pre-training of human behavior recognition while distinguishing true and false samples. In order to avoid the influence of residual generative adversarial network generator on the recognition accuracy due to the instability of the reconstructed samples, the trained residual generative adversarial network discriminator was constructed as a classifier for human behavior recognition. Experiments on the KTH dataset demonstrate the effectiveness of the proposed method. © 2022 SPIE.

关键词： Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Using deep learning to denoise and detect gravitational waves

引用

Physical Review D 2024年第6期110卷 063010页

作者： CunLiang Ma ShuoQiu Li Zhoujian Cao Mingzhen Jia School of Information Engineering Jiangxi Province Key Laboratory of Multidimensional Intelligent Perception and Control Ganzhou 341000 China Institute of Applied Mathematics School of Fundamental Physics and Mathematical Sciences Hangzhou Institute for Advanced Study

We have upgraded the MSNRnet framework to MSNRnet-2 by refining the training strategy, drawing inspiration from generative adversarial networks for data generation. The astrophysical discrimination network enforces constraints on the denoising output, ensuring that the “signal+noise” case conforms to an astrophysical-origin shape, while limiting the denoised output of the “noise” case to a nonastrophysical origin shape. This improvement has led to enhanced denoising and astrophysical discrimination performance in most scenarios. For the analysis of confident events, we observed a 1.3% increase in the detection rate. Remarkably, no false triggers were generated during the analysis of the data jointly processed by the Hanford and Livingston interferometers in O3b (about five months of data). These findings suggest that the denoising-discrimination-matched filtering framework holds promising potential for gravitational wave searches in the future.

关键词： Classical black holes General relativity Gravitational waves

来源：评论

学校读者我要写书评

暂无评论

Semi-Supervised Multiview Fuzzy Broad Learning

SSRN

引用

SSRN 2023年

作者： Xi, Chao Peng, Cheng Fan, Zizhu Liu, Qiang Wang, Hui Key Laboratory of Advanced Control and Optimization of Jiangxi Province East China Jiaotong University Nanchang330013 China Department of Engineering King’s College London London4616 United Kingdom State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Liaoning110819 China

Semi-supervised learning models often rely on the restricted assumptions, and can easily suffer from corvariate shift or noise. Few studies have explored the use of fuzzy rule-based methods in the semi-supervised discipline. In this paper, we first build a semi-supervised fuzzy broad learning model called MT-FBLS to address these issues. Further, a trusted multiview semisupervised classification method, termed TMSSC, is proposed by integrating the MT-FBLS with a multiview fusion network to enhance the robustness of the model. Under the Mean-Teacher framework, MT-FBLS involves the Takagi-Sugeno-Kang(TSK) fuzzy model which can effectively deal with imprecision and uncertainty, and broad learning system(BLS) which has strong rule learning ability and high computational efficiency. TMSSC utilizes a trusted mechanism to blend multiple views, so as to enhance its learning ability in the semi-supervised *** on the benchmark datasets demonstrate that the proposed methods have better anti-noise ability, competitive classification accuracy, as well as fast running speed. © 2023, The Authors. All rights reserved.

关键词： Learning systems

来源：评论

学校读者我要写书评

暂无评论

Copper-catalyzed oxidative phosphonoheteroarylation of alkenes with phosphonates and N-heteroarenes via P-H/C-H functionalization

引用

Organic Chemistry Frontiers 2022年第2期9卷 476-480页

作者： Chong-Hui Xu Zhi-Qiang Xiong Yang Li Yan-Ping Zhu Jin-Heng Li Key Laboratory of Jiangxi Province for Persistent Pollutants Control and Resources Recycle Nanchang Hangkong UniversityNanchang 330063China School of Pharmacy Key Laboratory of Molecular Pharmacology and Drug EvaluationMinistry of EducationCollaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of ShandongYantai UniversityYantaiShandong264005China State Key Laboratory of Applied Organic Chemistry Lanzhou UniversityLanzhou 730000China School of Chemistry and Chemical Engineering Henan Normal UniversityXinxiangHenan 475004China

A copper-catalyzed oxidative intermolecular phosphonoheteroarylation of alkenes with phosphonates and nucleophilic N-heteroarenes(such as indoles and pyrroles)involving P-H/C-H functionalization for the synthesis of highly valuable β-(N-heteroaryl)-alkylphosphonates is *** method allows the incorporation of two functional groups,a phosphonate and a N-heteroarene,into the alkene in a single reaction step through oxidative formation of the P-centered radicals,addition across the CvC bond,single electron oxidation and C-H functionalization cascades.

关键词： oxidative phosphonate catalyzed

来源：评论

学校读者我要写书评

暂无评论

Identification of Abnormal Operating Conditions in Fused Magnesium Furnaces Using a Deep Multiview TSK Fuzzy System

Identification of Abnormal Operating Conditions in Fused Mag...

引用

Chinese Automation Congress (CAC)

作者： Chao Xi Gaochang Wu Zizhu Fan Feng Xu Hui Wang Xiaokun Tang School of Electrical and Automation Engineering East China Jiaotong University Nanchang China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China College of Computer Science and Technology Shanghai University of Electric Power Shanghai China Key Laboratory of Advanced Control and Optimization of Jiangxi Province East China Jiaotong University Nanchang China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

The smelting process of the fused magnesium furnace(FMF) is prone to semi-molten abnormal conditions, which may lead to low product quality and production efficiency, and is also prone to safety accidents. At present, the operating conditions of FMF mainly rely on manual observation of the furnace shell features for diagnosis, and it is hard to timely and effectively identify abnormalities in the smelting process. Given the difficulty in identifying abnormal operating conditions of FMF, this paper proposes a deep multiview fuzzy classification method(DMFC) that can automatically identify abnormal operating conditions. First, based on the three-phase current data, CNN and Transformer are used to extract features as multiple views. Secondly, the Takagi-Sugeno-Kang(TSK) fuzzy model is used as a single-view model, and the evidence theory is used for dynamic fusion of multiple views. This method can effectively fuse multiple deep features, and has strong scalability and a certain degree of interpretability. Through verification of the real historical data of multiple FMFs, our model has relatively high accuracy, false detection rate(FDR), and missed detection rate(MDR).

关键词： Fuses Heuristic algorithms Furnaces Smelting Production Feature extraction Transformers Magnesium Classification algorithms Unsupervised learning

来源：评论

学校读者我要写书评

暂无评论

Designing Electronic Structures of Multiscale Helical Converters for Tailored Ultrabroad Electromagnetic Absorption

引用

Nano-Micro Letters 2025年第1期17卷 439-455页

作者： Zhaobo Feng Chongbo Liu Xin Li Guangsheng Luo Naixin Zhai Ruizhe Hu Jing Lin Jinbin Peng Yuhui Peng Renchao Che Key Laboratory of Jiangxi Province for Persistent Pollutants Control and Resources Recycle School of Environmental and Chemical EngineeringNanchang Hangkong UniversityNanchang 330063People’s Republic of China School of Physics and Materials Nanchang UniversityNanchang 330031People’s Republic of China Key Laboratory of Nondestructive Testing Ministry of EducationNanchang Hangkong UniversityNanchang 330063People’s Republic of China Laboratory of Advanced Materials Shanghai Key Lab of Molecular Catalysis and Innovative MaterialsAcademy for Engineering and TechnologyFudan UniversityShanghai 200438People’s Republic of China

Atomic-scale doping strategies and structure design play pivotal roles in tailoring the electronic structure and physicochemical property of electromagnetic wave absorption(EMWA)***,the relationship between configuration and electromagnetic(EM)loss mechanism has remained ***,drawing inspiration from the DNA transcription process,we report the successful synthesis of novel in situ Mn/N co-doped helical carbon nanotubes with ultrabroad EMWA *** calculation and EM simulation confirm that the orbital coupling and spin polarization of the Mn–N4–C configuration,along with cross polarization generated by the helical structure,endow the helical converters with enhanced EM *** a result,HMC-8 demonstrates outstanding EMWA performance,achieving a minimum reflection loss of−63.13 dB at an ultralow thickness of 1.29 *** precise tuning of the graphite domain size,HMC-7 achieves an effective absorption bandwidth(EAB)of 6.08 GHz at 2.02 mm ***,constructing macroscale gradient metamaterials enables an ultrabroadband EAB of 12.16 GHz at a thickness of only 5.00 mm,with the maximum radar cross section reduction value reaching 36.4 dB *** innovative approach not only advances the understanding of metal–nonmetal co-doping but also realizes broadband EMWA,thus contributing to the development of EMWA mechanisms and applications.

关键词： Metal-nonmetal co-doping 3d-2p orbital coupling Spin polarization Helical structure Broadband EM wave absorption

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：