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20th International Conference on AC and DC Power Transmission 2024, ACDC 2024

作者： Luo, Yongjian Liu, Chengxi He, Zaiyu Li, Xiaoming School of Electrical Engineering and Automation Wuhan University Wuhan China Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network Wuhan China

ISBN: (纸本)9781837242672

To capitalize on the advantages and mitigate the disadvantages of LCC and MMC HVDC systems, the LCC-MMC hybrid HVDC system has been developed. The steady-state models for LCC and MMC systems are essentially different. The derivation of the power flow model for this hybrid system is of fundamental importance. This paper first establishes the mathematical model of the LCC-MMC hybrid HVDC system. Then, based on the holomorphic embedding (HE) method, the HE formulation for the constructed model is derived. The approach for germ solution and the high-order power series calculation process is established. Furthermore, a sequential solution algorithm tailored to the hybrid system is proposed. Finally, the effectiveness and accuracy of the proposed method are verified using a modified IEEE 14-bus system incorporating a hybrid LCC-MCC HVDC line. © The Institution of engineering & technology 2024.

关键词： Embeddings

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Multi-Modal Based Fuzzy Atmosfield in Human-Robot Interaction 42

Multi-Modal Based Fuzzy Atmosfield in Human-Robot Interactio...

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42nd Chinese control Conference, CCC 2023

作者： Li, Xin-Heng Liu, Zhen-Tao Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China

ISBN: (纸本)9789887581543

Recently, the emotional robot has basic functions of perceiving and expressing emotions, but it still hard to communicate naturally between humans and robots. One major reason is that communication atmosphere is seldom considered in Human-robot Interaction (HRI). We propose Multi-modal (i.e., music background, speech, and semantics) Based Fuzzy Atmosfield (FA), which can not only realize the dynamic adjustment of FA but also dynamically regulate human emotions. In the experiment, a Pepper robot is used and one hundred volunteers are invited for HRI, and soothing piano pieces are used as background music. Questionnaires were filled by the volunteers after the experiments, from which the results show that 90% of the volunteers felt the dynamic changes in the communication atmosphere and 77% of the volunteers felt significant emotional regulation, which demonstrates the effectiveness of our method. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Semantics

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Effect of Cu-ZSM-5 catalysts with different CuO particle size on selective catalytic oxidation of N,N-Dimethylformamide

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Frontiers of Environmental Science & engineering 2022年第10期16卷 1-10页

作者： Xin Xing Na Li Dandan Liu Jie Cheng Zhengping Hao College of Environmental Science and Engineering Taiyuan University of Science and TechnologyTaiyuan 030024China National Engineering Laboratory for VOCs Pollution Control Material&Technology Research Center for Environmental Material and Pollution Control TechnologyUniversity of Chinese Academy of SciencesBeijing 101408China

N,N-Dimethylformamide(DMF),a nitrogen-containing volatile organic compound(NVOC)with high emissions from the spray industry,has attracted increasing *** this study,Cu-ZSM-5 catalysts with different CuO particle sizes of 3,6,9 and 12 nm were synthesized and tested for DMF selective catalytic *** crystal structure and physicochemical properties of the catalyst were studied by various characterization *** catalytic activity increases with increasing CuO particle size,and complete conversion can be achieved at 300-350℃.The Cu-12 nm catalyst has the highest catalytic activity and can achieve complete conversion at 300℃.The Cu-6 nm sample has the highest N_(2)selectivity at lower temperatures,reaching 95%at 300℃.The activity of the catalysts is determined by the surface CuO cluster species,the bulk CuO species and the chemisorbed surface oxygen *** high N_(2)selectivity of the catalyst is attributed to the ratio of isolated Cu2+and bulk CuO species,and weak acidity is beneficial to the formation of N_(2).The results in this work will provide a new design of NVOC catalytic oxidation catalysts.

关键词： N,N-Dimethylformamide Selective catalytic oxidation Cu-ZSM-5 CuO particle size

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A Probabilistic Topology Inference Method for Networked Dynamical System via Single Excitation 63

A Probabilistic Topology Inference Method for Networked Dyna...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Jiao, Qing Li, Yushan He, Jianping Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Engineering Research Center of Intelligent Control and Management Dept. of Automation Shanghai China

ISBN: (纸本)9798350316339

A growing number of works have investigated inferring the topology of networked dynamical systems from observations, such as to better understand the system behaviour. Despite the tremendous advances, most of them require the observations to be abundant. This paper focuses on inferring the topology by injecting single excitation on a node and collecting several steps of noisy observations. The problem is challenging because the noises cannot be depressed in several observations and are mixed with the injected excitation, making it hard to directly reveal the topology. To practice, we develop a probabilistic method based on the hypothesis test framework. First, we infer the neighbors that are within h-hop of the excited node and derive the accuracy guarantees. Then, we extend the method to infer the exact h-hop neighbors. A computable lower bound for the accuracy probability is established to provide confidence support in the inference procedures. Furthermore, we give the conditions of excitation input to ensure a desired inference probability, which provides guidance for the input design. Numerical simulations are conducted to verify the effectiveness of the proposed method. © 2024 IEEE.

关键词： Network topology

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Characteristics of typical dissolved black carbons and their influence on the formation of disinfection by-products in chlor(am)ination

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Frontiers of Environmental Science & engineering 2022年第12期16卷 1-14页

作者： Jinhui Liang Peng Gao Benhang Li Longfei Kang Li Feng Qi Han Yongze Liu Liqiu Zhang Beijing Key Laboratory for Source Control Technology of Water Pollution Engineering Research Center for Water Pollution Source Control and Eco-remediationBeijing Forestry UniversityBeijing100083China

Dissolved black carbon(DBC)released from biochar can be one of the potential disinfection by-products(DBPs)precursors in the dissolved organic matter ***,the physiochemical and structural properties of DBC and the effects on the development of DBPs and DBP formation potential(DBPFP)during the disinfection process remain *** this study,the characteristics of two kinds of DBC,namely,animal-derived DBC(poultry litter DBC,PL-DBC)and plant-derived DBC(wheat straw DBC,WS-DBC),were *** effects of different kinds of DBC on the evolution of DBPs and DBPFP in chlorine and chloramine disinfection processes were compared with natural organic matter(NOM).The results showed that the total DBPs concentrations derived from PL-DBC,WS-DBC and NOM were similar during chlorination(i.e.,61.23µg/L,64.59µg/L and 64.66µg/L,respectively)and chloramination(i.e.,44.63µg/L,44.42µg/L and 45.58µg/L,respectively).The lower total DBPs and DBPFP concentrations in chloramination could be attributed to the fact that the introduction of ammonia in chloramine inhibited the breaking of the bond between the disinfectant and the active group of the ***,DBC presented much lower total DBPFP concentrations than NOM in both chlorination and ***,both kinds of DBC tended to form more monochloroacetic acids and haloacetamides than NOM,which could result from the higher organic strength,higher protein matter,and nitrogen-rich soluble microbial products of DBC.

关键词： Dissolved black carbon(DBC) Chlorine Chloramine Disinfection by-products(DBPs) Disinfection by-products formation potential(DBPFP)

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Vulnerability Analysis of Satellite Products 11th

Vulnerability Analysis of Satellite Products

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11th International Conference on Signal and Information Processing, Network and Computers, ICSINC 2023

作者： Liu, Zhibin Liu, Zhe Guo, Liang Kong, Xiaoyao Fan, Qifan Chu, Chenlei Beijing Institute of Spacecraft Environment Engineering Beijing China Beijing Engineering Research Center of the Intelligent Assembly Technology and Equipment for Aero-Space Product Beijing China

ISBN: (纸本)9789819721191

Through the analysis of satellite vulnerability characteristics and the statistics of damage accidents, this paper obtains four categories of risk factors, and further expounds the four aspects of "human error", "environmental factors", "satellite products’ own energy source", "assembly test equipment, real-time, tool characteristics", reflecting the characteristics of satellite products. Considering both universality and pertinence (according to the characteristics of satellite assembly activities), it can provide necessary basis for subsequent safety analysis and evaluation. Finally, the analytic hierarchy process and fuzzy evaluation method are used to analyze the data examples and determine the judgment criteria. The corresponding matrix is obtained through the primary and secondary parameters. According to the maximum membership principle, the risk level corresponding to the largest of the five values corresponding to the membership of the top-level parameters is the result of the comprehensive risk assessment. The results show that the method is suitable for the vulnerability analysis of satellite products, and can be used for risk assessment. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Risk assessment

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Occurrence and migration of microplastics and plasticizers in different wastewater and sludge treatment units in municipal wastewater treatment plant

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Frontiers of Environmental Science & engineering 2022年第11期16卷 203-212页

作者： Sen Dong Peng Gao Benhang Li Li Feng Yongze Liu Ziwen Du Liqiu Zhang Beijing Key Laboratory for Source Control Technology of Water Pollution Engineering Research Center for Water Pollution Source Control and Eco-remediationBeijing Forestry UniversityBeijing 100083China

Microplastics(MPs)and plasticizers,such as phthalate esters(PAEs),were frequently detected in municipal wastewater treatment plants(MWTP).Previous research mainly studied the removal of MPs and PAEs in ***,the occurrence of MPs and PAEs in the sludge was generally *** comprehensively investigate the occurrence and the migration behaviors of MPs and PAEs in MWTP,a series of representative parameters including the number,size,color,shape of MPs,and the concentrations of PAEs in wastewater and sludge were systematically *** this study,the concentrations of MPs in the influent and effluent were 15.46±0.37 and 0.30±0.14 particles/*** MP removal efficiency of 98.1%was achieved and about 73.8%of MPs were accumulated in the sludge in the *** numbers of MPs in the sludge before and after digestion were 4.40±0.14 and 0.31±0.01 particles/g(dry sludge),*** Transform Infrared Spectroscopy(ATR FT-IR)analysis showed that the main types of MPs were polyethylene terephthalate(PET),polypropylene(PP),polyethylene(PE),and polystyrene(PS).Six PAEs,including phthalate(DMP),diethyl phthalate(DEP),diisobutyl phthalate(DIBP),ortho dibutyl phthalate(DBP),butyl benzyl phthalate(BBP),and bis(2-ethyl)hexyl phthalate(DEHP),were detected in the *** concentrations of total PAEs(ΣPAEs)in the influent and effluent were 76.66 and 6.28μg/L,*** concentrations ofΣPAEs in the sludge before and after digestion were 152.64 and 31.70μg/g,*** the process of thermal hydrolysis,the number and size of MPs decreased accompanied by the increase of the plasticizer concentration.

关键词： Microplastics Municipal wastewater treatment plant Phthalate esters Thermal hydrolysis

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Editorial:special issue on analysis and control of complex systems in honor of the 90th birthday of Professor Huashu Qin

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control Theory and technology 2024年第3期22卷 343-344页

作者： Yiguang Hong Shengwei Mei Ping Yang Department of Control Science and Engineering Tongji UniversityShanghai200092China Shanghai Research Institute for Intelligent Autonomous Systems Tongji UniversityShanghai200092China Department of Electrical Engineering and Applied Electronics Technology Tsinghua UniversityBeijing100084China School of Electric Power South China University of TechnologyGuangzhou510640GuangdongChina

It is our great pleasure to organize this special issue in control Theory and technology in honor of the 90th birthday of Professor Huashu *** is one of the pioneers in control theory and applications in China,and has made many truly outstanding contributions to the field including nonlinear dynamics and control,intelligent control,robotics and complex *** is no surprise that she was selected as a representative introduced significantly in“Women in control”of IEEE control Systems Magazine.

关键词： control honor analysis

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Classification and structural characteristics of amorphous materials based on interpretable deep learning

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Chinese Physics B 2023年第9期32卷 356-363页

作者：崔佳梅李韵洁赵偲郑文 Institute of Public Safety and Big Data College of Data ScienceTaiyuan University of TechnologyJinzhong 030600China Shanxi Engineering Research Center for Intelligent Data Assisted Treatment Changzhi Medical CollegeChangzhi 046000China

Defining the structure characteristics of amorphous materials is one of the fundamental problems that need to be solved urgently in complex materials because of their complex structure and long-range *** this study,we develop an interpretable deep learning model capable of accurately classifying amorphous configurations and characterizing their structural *** results demonstrate that the multi-dimensional hybrid convolutional neural network can classify the two-dimensional(2D)liquids and amorphous solids of molecular dynamics *** classification process does not make a priori assumptions on the amorphous particle environment,and the accuracy is 92.75%,which is better than other convolutional neural ***,our model utilizes the gradient-weighted activation-like mapping method,which generates activation-like heat maps that can precisely identify important structures in the amorphous configuration *** obtain an order parameter from the heatmap and conduct finite scale analysis of this *** findings demonstrate that the order parameter effectively captures the amorphous phase transition process across various *** results hold significant scientific implications for the study of amorphous structural characteristics via deep learning.

关键词： amorphous interpretable deep learning image classification finite scale analysis

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Skewed Pins Detection of Aviation Connectors Based on Multi-Modal Cooperative Perception

Skewed Pins Detection of Aviation Connectors Based on Multi-...

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2024 International Conference on Artificial Intelligence of Things and Systems, AIoTSys 2024

作者： Li, Jiaming Ren, Cheng Xu, Jiaxin Wang, Yao Xu, Hanlin Guan, Xinping Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Engineering Research Center of Intelligent Control and Management Department of Automation Shanghai200240 China

ISBN: (纸本)9798331507886

Aviation electrical connectors are critically important components in electrical wiring interconnection systems. Currently, connector defect detection relies entirely on manual inspection, which is error-prone and time-consuming. Due to the unique structural characteristics of aviation connectors, single-modality sensors often struggle to simultaneously detect both pins and holes. To address this issue, we propose a 3D skewed pins detection (3D-SPD) algorithm that integrates both 2D and 3D modals features. Due to the low quality of the raw connector data, we propose a connector point cloud enhancement (CPCE) algorithm that combines multi-view point clouds for point cloud fusion enhancement. Based on enhanced data, we perform skewed pin detection. Experimental results indicate that CPCE and 3D-SPD are effective in detecting skewed pins, achieving an accuracy rate exceeding 99%. Our algorithm can be deployed as an AI assistant on the edge device for the skewed pin detection. © 2024 IEEE.

关键词： defect detection machine vision multi-modal cooperative perception skewed pin

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