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2020 3rd International Symposium on Power Electronics and Control Engineering, ISPECE 2020

作者： Xunwen, Su Hanqing, Cui Yuming, Pei Dongni, Zhang Pengyu, An Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China School of Electrical and Control Engineering Heilongjiang University of Science and Technology Harbin Heilongjiang China

In order to study the influence of the clustering aggregation of doubly-fed wind turbines (DFIG) in the wind-fire bundling system on the system subsynchronous oscillation (SSO), the expression of the DFIG output active power on the electrical damping De of thermal power units is first derived. Then the wind-thermal bundling system is built based on the IEEE first bench mark, and the wind farm is aggregated to several groups according to the rated power. The complex torque coefficient method is used to analyze the two cases of the same running state of the wind turbine and the difference of wind speed between the turbine and verified by time-domain simulation. The results show that the difference in wind speed within the DFIG groups has little effect on the system oscillation frequency before and after the aggregation of the wind farm, but there may be a slight error in the electrical damping coefficient before and after the aggregation,but the error does not affect the trend and analysis of damping characteristics of system. When studying the influencing factors of wind-fire bundling system SSOthe aggregated model can be uesd to improve simulation efficiency. © Published under licence by IOP Publishing Ltd.

关键词： Wind turbines

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Better Modeling the Hierarchical Structure of Language for Sentence Semantic Matching 2

Better Modeling the Hierarchical Structure of Language for S...

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2020 2nd International Conference on Artificial Intelligence Technologies and Application, ICAITA 2020

作者： Pei, Zhongmin Li, Changqun Xiong, Wei Luo, Zhangkai Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing100014 China

Sentence semantic matching requires understanding the semantic relationship between two sentences, which is widely used in various natural language tasks such as paraphrase identification, natural language inference and question answering. Usually, the underlying structure of sentence is not strictly sequential, this structure is hierarchical. This paper studies how to better model the hierarchical structure of sentence for semantic matching. Recent research suggests that BERT implicitly captures classical, tree-like structures. Based on this, this paper proposes to further enhance the strength of modeling hierarchical structure of language with an advanced variant of LSTM-Ordered Neurons LSTM(ON-LSTM), which introduces a syntax-oriented inductive bias to perform the composition of classical tree structure. Experimental results demonstrate that the proposed approach, which enhances hierarchical structure of language, significantly improves the performance of sentence semantic matching. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Modeling languages

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A homogenization method for nonlinear inhomogeneous elastic materials

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Virtual Reality & Intelligent Hardware 2021年第2期3卷 156-170页

作者： Jing ZHAO Fei ZHU Liyou XU Yong TANG Sheng LI College of Information Science and Engineering Yanshan UniversityQinhuangdaoHebei 066004China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province QinhuangdaoHebei 066004China School of Electronics Engineering and Computer Science Peking UniversityBeijing 100871China Beijing Engineering Research Center for Virtual Simulation and Visualization Beijing 100871China

Background Fast simulation techniques are strongly favored in computer graphics,especially for the nonlinear inhomogeneous elastic *** homogenization theory is a perfect match to simulate inhomogeneous deformable objects with its coarse discretization,as it reveals how to extract information at a fine scale and to perform efficient computation with much less *** existing homogenization method is not applicable for ubiquitous nonlinear materials with the limited input deformation *** In this paper,we have proposed a homogenization method for the efficient simulation of nonlinear inhomogeneous elastic *** approach allows for a faithful approximation of fine,heterogeneous nonlinear materials with very coarse *** analysis provides the basis of a linear deformation space and modal derivatives extend the space to a nonlinear regime;based on this,we exploited modal derivatives as the input characteristic deformations for *** also present a simple elastic material model that is nonlinear and anisotropic to represent the homogenized *** nonlinearity of material deformations can be represented properly with this *** material properties for the coarsened model were solved via a constrained optimization that minimizes the weighted sum of the strain energy deviations for all input deformation *** arbitrary number of bases can be used as inputs for homogenization,and greater weights are placed on the more important low-frequency *** Based on the experimental results,this study illustrates that the homogenized material properties obtained from our method approximate the original nonlinear material behavior much better than the existing homogenization method with linear displacements,and saves orders of magnitude of computational *** The proposed homogenization method for nonlinear inhomogeneous elastic materials is capable of capturing the nonlinear dynamics of the

关键词： Physical-based simulation Homogenization theory Heterogeneous material Modal basis

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Design and modeling of satellite network structure for business scenarios

Design and modeling of satellite network structure for busin...

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2020 International Seminar on Artificial Intelligence, Networking and Information technology, AINIT 2020

作者： Ren, Lintao Pei, Zhongmin Xiong, Wei Luo, Zhangkai Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing101416 China

In view of the actual decentralized development of the satellite service constellation and the trend of space-ground integrated information network, based on the idea of clustering, methodology of complex network community structure, a business scenario-oriented satellite network structure is designed. On the one hand, it reflects the different separation and integration of satellite constellations in business scenarios. On the other hand, the "head node"mechanism is introduced to be responsible for the interaction between constellation in different business scenarios. The satellite network structure is modeled using the growth and priority connection mechanism, and through computational derivation and simulation validation, the scale-free characteristics of the satellite network are revealed. Finally, through the simulation experiments on different satellite network parameters, the effect of different parameters on the static geometry, network efficiency, etc., are obtained. The influence of the law of the network will provide theoretical and methodological reference for the design of satellite network structure. © Published under licence by IOP Publishing Ltd.

关键词： Complex networks

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Photocatalytic Degradation of Tetracycline Over Bimetallic Layered Double Hydroxides-Mxenes Heterostructures Under Visible Light

SSRN

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SSRN 2024年

作者： Yao, Jixin Liu, Yong Tong, Xiaowei Lu, Shibin Meng, Ying Li, Guang Anhui Province Key Laboratory of Simulation and Design for Electronic Information System Universities Joint Key Laboratory of Photoelectric Detection Science and Technology in Anhui Province Hefei Normal University Hefei230601 China School of Materials Science and Engineering Anhui Key Laboratory of Information Materials and Devices Key Laboratory of Structure and Functional Regulation of Hybrid Materials Ministry of Education Institute of Physical Science and Information Technology Anhui University Hefei230601 China School of Electronic Engineering Huainan Normal University Huainan232038 China

Layered double hydroxides (LDHs) are widely used in photocatalytic degradation of antibiotic pollutants under ultraviolet (UV)-light, but their efficiency under visible light is hampered by large band gaps and layer agglomeration. To address these challenges, we have successfully developed innovative bimetallic NiCo LDHs-MXenes heterostructures (LDHs-MXenes) for enhanced degradation of tetracycline (TC) pollutants under visible light conditions. As-prepared LDHs-MXenes photocatalysts (20 mg) show exceptional performance, achieving ~97.4% TC degradation efficiency (20 mg L-1, 100 mL) within just 50 minutes under a 300 W Xe lamp. This significant enhancement underscores the synergistic effects derived from the combination of LDHs and MXenes nanosheets. © 2024, The Authors. All rights reserved.

关键词： Heterojunctions

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DC Overvoltage Analysis of GFM-controlled Wind Farm Connected via MMC-HVDC system Caused by Receiving-end AC Faults

DC Overvoltage Analysis of GFM-controlled Wind Farm Connecte...

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International Conference on Power Electronics and Motion Control (IPEMC)

作者： Siying Chen Min Cheng Yingbiao Li Jiawei Yu Yihua Zhu Mingkang Wu Jiabing Hu Jianan Yan State Key Laboratory of Advanced Electromagnetic Technology and School of Electrical and Electronic Engineering Huazhong University of Science and Technology China Yunnan Power Grid China CSG Key Laboratory for Power System Simulation (Electric Power Research Institute China Southern Power Grid) State Key Laboratory of HVDC (Electric Power Research Institute China Southern Power Grid) National Energy Power Grid Technology R&D Centre Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System China

ISBN: (数字)9798350351330

ISBN: (纸本)9798350351347

DC overvoltage occurs when short circuit fault exists at the receiving-end and is harmful to the safety of the system where wind farms are connected to the grid through high-voltage direct current (HVDC) transmission based on the modular multilevel converter (MMC). To address this issue, this paper first analyzed the mechanism of the DC overvoltage and innovatively proposed a strategy in which grid-forming-controlled wind farms are integrated into the AC grid through MMC-HVDC, whose sending-end applies grid-following control and constant DC voltage control. However, secondary DC overvoltage appears during the fault recovery stage and is mainly caused by the saturation of the PI controller of constant active power control. simulations are carried out on a test with MATLAB/Simulink, and results verify the efficacy of the proposed methods in suppressing DC overvoltage that appeared during receiving-end faults and their recovery stage.

关键词： PI control simulation Power control Wind farms Robustness Wind turbines Safety

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Collaborative Filtering Recommendation Algorithm of Weaponry Based on Knowledge Graph

Collaborative Filtering Recommendation Algorithm of Weaponry...

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Information technology,Big Data and Artificial Intelligence (ICIBA), International Conference on IEEE International Conference on

作者： Xiao Li Desheng Liu Qing Chang Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing

ISBN: (纸本)9781665428781

Nowadays, modern warfare has changed from weapon-centric operations to network-centric system operations, which has led to the phenomenon of sea-level quantification of weaponry. It is an important research topic for combat commanders to select suitable weaponry from a large number of available resources when facing combat tasks. Recommendation technology is a solution to this problem, which can effectively solve the problem of information overload, so that combat commanders do not produce the phenomenon of “information loss”, in the shortest possible time to make the right decision. Therefore, this paper proposes a collaborative filtering recommendation algorithm for weaponry based on the knowledge graph and the idea of collaborative filtering. In this algorithm, the knowledge graph provides a clear data model with various association relationships, and the collaborative filtering algorithm can realize it without relying on professional experience, which can realize the recommendation process more actively, faster and more intelligently.

关键词： Weapons Collaborative filtering systems operation Conferences Filtering algorithms Big Data Information filters

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Researchment of mainlobe anti-jamming algorithms 6

Researchment of mainlobe anti-jamming algorithms

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6th Annual International Conference on Computer science and Applications, CSA 2020

作者： Luo, Zhangkai Pei, Zhongmin Li, Yinan Wang, Xinmin Zou, Bo Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing101400 China

Main lobe interferences usually cause the distortion and peak offset of main lobe and the heighten of side lobe level in adaptive beamformers. The block matrix algorithm utilized the direction vector which was determined by both the antenna arrays and the direction of interference to eliminate the main lobe interference. But this algorithms is sensitive to the error occurred in the interference arrive angle and would consume the array of degrees of freedom. In this paper a new algorithm is proposed which projects the receive signal into a space which is orthogonal to the signal subspace to achieve the goal. The space can get by three steps. Frist we obtain eigenvalues by the decomposition of the covariance matrix of the snapshots to evaluate the noise power. Then we get a new matrix by removing the noise from the covariance matrix of the snapshots. At last we get the target space by conducting the singular value decomposition to the new matrix. Performance is mainly assessed in terms of the beamforming gain and the signal to interference and noise (SINR) ratio. The computer simulation shows the effective of this method. © 2020 Institute of Physics Publishing. All rights reserved.

关键词： Covariance matrix

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华北农村清洁取暖成本收益的空间不均衡

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science Bulletin 2024年第12期69卷 1852-1856页

作者：张伟张鹏飞赵静汪峰尚昱竹方培薛文博张鹏岩宋玲玲蒋洪强王金南李佳硕 State Environmental Protection Key Laboratory of Environmental Planning and Policy Simulation Chinese Academy of Environmental PlanningBeijing 100041China The Center for Beijing-Tianjin-Hebei Regional Environment and Ecology Chinese Academy of Environmental PlanningBeijing 100041China Institute of Blue and Green Development Shandong UniversityWeihai 264209China School of Business Nanjing University of Information Science&TechnologyNanjing 210044China Institute of Climate Economy and Low-carbon Industry Nanjing University of Information Science&TechnologyNanjing 210044China Center of Air Quality Simulation and System Analysis Chinese Academy of Environmental PlanningBeijing 100041China School of Urban Economics and Public Administration Capital University of Economics and BusinessBeijing 100070China

Bulk coal combustion in rural households is a major contributor to PM_(2.5)pollution in Northern China[1,2].To promote the energy transition and reduce bulk coal combustion for heating in rural areas,China initiated the Winter Clean Heating Action Plan in Rural Northern China in 2017,hereinafter referred to as rural clean heating(RCH)[3].The 2+26 region,comprising Beijing,Tianjin,and 26 other municipalities in the surrounding area(Fig.S1 online),is the key implementation area for the RCH.

关键词：华北农村 Rural 成本收益

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Differentiable Neural Architecture Search for Domain Adaptation in Fault Diagnosis

SSRN

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SSRN 2023年

作者： Liu, Yumeng Li, Xudong Hu, Yang Institute of Software Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China Jingdong Industry Beijing China Science and Technology on Complex Aviation System Simulation Laboratory 9236 mailbox Beijing China

In recent years, deep transfer learning has been widely applied in fault diagnosis. In particular, domain adaptation method to solve unsupervised transfer learning problem has become a research hotspot. However, these researches mainly focus on the construction of loss function, and the design of network structure still depends on manual work. A differentiable neural architecture search method is proposed to automatically search for network structures suitable for domain adaptation in fault diagnosis to solve this problem. The proposed method search for two components in the Inception search space: structures of Inception blocks and feature mask. Inception blocks are stacked to form a complete network, and the feature mask selects the features for domain adaptation. Besides, to improve the search efficiency, we search and adapt multiple target domains at the same time, expanding the application scenarios of domain adaptation. The proposed method is evaluated on two datasets, and experiments show that this method can generate networks with excellent performance. © 2023, The Authors. All rights reserved.

关键词： Failure analysis

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