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IEEE PES Asia-Pacific Power and Energy engineering Conference (APPEEC)

作者： Ziqiu Song Yang Hu Yi Cheng Huipan Wang School of Control and Computer engineering North China Electric Power University Beijing China

Considering the performance of offshore wind turbine often degrades due to dynamic ice load in cold regions, we optimize the pitch controller to minimize the unfavorable influence of the ice load. The design of pitch controller is based on the proposed nonlinear models of offshore wind turbine and dynamic ice load. However, on account of the nonlinear system and random wind speed, it is a challenge for pitch control using traditional Proportional-Integral controller to keep the high operating quality. Hence, the optimization based on particle swarm optimization is proposed in this paper, which tunes the parameters of the controller effectively. More importantly, simulation results demonstrate that the proposed optimization performs better in constant generation power and reduction of tower top displacement comparing with the tradition controller.

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Research on Image Fusion Algorithm for Video Optimization

Research on Image Fusion Algorithm for Video Optimization

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International Conference on Sensing, Diagnostics, Prognostics, and control (SDPC)

作者： Xueyun Zhao Guangjie Li Xinli Li School of Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (数字)9781728101996

ISBN: (纸本)9781728102009

This paper aims to study video image fusion through two types of image fusion algorithms: pixel level and feature level, which can solve camera shake during video shooting, image blur caused by interference, target occlusion. Based on the above proposed methods, a video is optimized by wavelet transform fusion algorithm, Laplacian pyramid fusion algorithm and the scale-invariant feature transform (SIFT) fusion algorithm, respectively. Moreover, three indexes are used to evaluate the images obtained by using these two types of fusion algorithms. A human-computer interaction interface is constructed by utilizing MATLAB toolbox, and the simulation of video image fusion is completed in the interface, which proves that the fusion algorithm can achieve a good result than another two algorithms.

关键词： Wavelet transforms Image fusion Feature extraction Laplace equations Wavelet domain Clustering algorithms

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Author Correction: H∞ observer-based control for fuzzy Hadamard fractional-order systems

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Computational and Applied Mathematics 2025年第5期44卷 1-1页

作者： Rhaima, Mohamed Gassara, Hamdi Mchiri, Lassaad Hajjaji, Ahmed El Makhlouf, Abdellatif Ben Department of Statistics and Operations Research College of Science King Saud University Riyadh Saudi Arabia Laboratory of Sciences Techniques of Automatic Control and Computer Engineering National School of Engineering of Sfax University of Sfax Sfax Tunisia Panthéon-Assas University Paris II Paris France Modeling Information and Systems Laboratory University of Picardie Jules Verne UFR of Sciences Amiens France Department of Mathematics Faculty of Sciences Sfax University Sfax Tunisia

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Divisional Regulation of Air-cooled Axial Flow Fan Array based on Model Predictive control

Divisional Regulation of Air-cooled Axial Flow Fan Array bas...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Zhiling Luo Qi Yao Pengyuan Feng Xinbo Kong School of Control and Computer Engineering North China Electric Power University Beijing China

The direct air condensers present unique control problems because they are more sensitive to ambient disturbances than water-cooled condensers. Use ambient air as a cooling medium, the direct air condenser achieves significant water saving at the expense of high fan power consumption, severely affected by ambient wind and coupling effects. To solve these problems, this paper proposed a divisional regulation scheme on an air-cooled array based on model predictive control (MPC) with feedforward. Air flow characteristics of the air-cooled condenser are investigated based on an experimental platform and propose a partition scheme, which divides the air-cooled array into two parts: the outer circle and inner part. Then the dynamic models of the air-cooled array are established based on an integral identification method on step tests, including the wind disturbance response model. Finally, MPC with feed-forward is introduced as the control strategy, with optimized flow set-point for each part. It is concluded that the proposed method effectively reduces the energy consumption of the air-cooled array and suppresses the ambient wind disturbance.

关键词： Fans Atmospheric modeling Power systems Couplings Energy consumption Electron tubes

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Current progress in developing metal oxide nanoarrays-based photoanodes for photoelectrochemical water splitting

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Science Bulletin 2019年第18期64卷 1348-1380页

作者： Yongcai Qiu Zhenghui Pan Haining Chen Daiqi Ye Lin Guo Zhiyong Fan Shihe Yang Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control School of Environment and EnergySouth China University of TechnologyGuangzhou 510006China State Key Laboratory of Luminescent Materials and Devices South China University of TechnologyGuangzhou 510640China Department of Materials Science and Engineering National University of SingaporeSingapore 117574Singapore School of Materials Science and Engineering Beihang UniversityBeijing 100191China School of Chemistry and Environment Beihang UniversityBeijing 100191China Department of Electronic and Computer Engineering The Hong Kong University of Science and TechnologyHong KongChina Department of Chemistry The Hong Kong University of Science and TechnologyHong KongChina Guangdong Key Lab of Nano-Micro Material Research School of Chemical Biology and Biotechnology Shenzhen Graduate SchoolPeking UniversityShenzhen 518055China

Solar energy driven photoelectrochemical(PEC) water splitting is a clean and powerful approach for renewable hydrogen production. The design and construction of metal oxide based nanoarray photoanodes is one of the promising strategies to make the continuous breakthroughs in solar to hydrogen conversion efficiency of PEC cells owing to their owned several advantages including enhanced reactive surface at the electrode/electrolyte interface, improved light absorption capability, increased charge separation efficiency and direct electron transport pathways. In this Review, we first introduce the structure,work principle and their relevant efficiency calculations of a PEC cell. We then give a summary of the state-of the-art research in the preparation strategies and growth mechanism for the metal oxide based nanoarrays, and some details about the performances of metal oxide based nanoarray photoanodes for PEC water splitting. Finally, we discuss key aspects which should be addressed in continued work on realizing high-efficiency metal oxide based nanoarray photoanodes for PEC solar water splitting systems.

关键词： Photoelectrochemical water splitting Metal oxide based nanoarray photoanodes Preparation strategies and growth mechanism

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Optimization of Active Power Dispatching Considering Lifetime Fatigue Load for Offshore Wind Farm Based on Multi-agent System

Optimization of Active Power Dispatching Considering Lifetim...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Qi Yao Yang Hu Zhiling Luo School of Control and Computer Engineering North China Electric Power University Beijing China

As a rapidly developing renewable energy source, effective active power dispatching for wind power has become common. For offshore wind farms with high maintenance costs, balanced fatigue loads among wind turbines need to be considered in order to reduce the number of maintenances. Based on this target, this paper proposes an optimized power distribution function to balance the fatigue difference among wind turbines. At the same time, this paper adopts the structure of the unsupervised multi-agent system (MAS) in the offshore wind farm, the communication between wind turbines is used to complete the allocation of power commands. The simulation results show that the wind farm with MAS structure can effectively deliver the power commands. And the optimized power distribution function can reduce the fatigue difference of the wind turbines after long-term operation.

关键词： Wind turbines Fatigue Wind farms Power distribution Dispatching Optimization Wind power generation

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Master equations and quantum trajectories for squeezed wave packets

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Physical Review A 2022年第2期105卷 023721-023721页

作者： Jonathan A. Gross Ben Q. Baragiola T. M. Stace Joshua Combes Institut Quantique Université de Sherbrooke Sherbrooke Quebec Canada J1K 2R1 Center for Quantum Information and Control University of New Mexico Albuquerque New Mexico 87131-0001 USA Yukawa Institute for Theoretical Physics Kyoto University Kitashirakawa Oiwakecho Sakyo-ku Kyoto 606-8502 Japan Centre for Quantum Computation and Communication Technology School of Science RMIT University Melbourne Victoria 3000 Australia ARC Centre for Engineered Quantum System Department of Physics University of Queensland Brisbane Queensland 4072 Australia Department of Electrical Computer and Energy Engineering University of Colorado Boulder Boulder Colorado 80309 USA

The interaction between matter and squeezed light has mostly been treated within the approximation that the field-correlation time is small. Methods for treating squeezed light with more general correlations currently involve explicitly modeling the systems producing the light. We develop a general purpose input-output theory for a particular form of narrowband squeezed light, a squeezed wave-packet mode, that only concerns the statistics of the squeezed field and the shape of the wave packet. This formalism allows us to derive the input-output relations and the master equation. We also consider detecting the scattered field using photon counting and homodyne measurements, which necessitates the derivation of the stochastic master equation. The non-Markovian nature of the field manifests itself in the master equation as a coupled hierarchy of equations. We illustrate these with consequences for the decay and resonance fluorescence of two-level atoms in the presence of such fields.

关键词： Open quantum systems Squeezing of quantum noise Stochastic processes

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Single-shot fringe projection profilometry based on deep learning and computer graphics

arXiv

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arXiv 2021年

作者： Wang, Fanzhou Wang, Chenxing Guan, Qingze School of Automation Southeast University 2# Sipailou Xuanwu Nanjing210096 China Key laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing210096 China Department of Computer Science University College London Gower St Bloomsbury LondonWC1E 6BT United Kingdom

Multiple works have applied deep learning to fringe projection profilometry (FPP) in recent years. However, to obtain a large amount of data from actual systems for training is still a tricky problem, and moreover, the network design and optimization still worth exploring. In this paper, we introduce computer graphics to build virtual FPP systems in order to generate the desired datasets conveniently and simply. The way of constructing a virtual FPP system is described in detail firstly, and then some key factors to set the virtual FPP system much close to the reality are analyzed. With the aim of accurately estimating the depth image from only one fringe image, we also design a new loss function to enhance the quality of the overall and detailed information restored. And two representative networks, U-Net and pix2pix, are compared in multiple aspects. The real experiments prove the good accuracy and generalization of the network trained by the data from our virtual systems and the designed loss, implying the potential of our method for applications. Copyright © 2021, The Authors. All rights reserved.

关键词： computer graphics

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Two-stage Photovoltaic Power Forecasting based on Extreme Learning Machine and Improved Pointwise Mutual Information

Two-stage Photovoltaic Power Forecasting based on Extreme Le...

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IEEE PES Asia-Pacific Power and Energy engineering Conference (APPEEC)

作者： Zhengrong Chen Yang Hu School of Control and Computer Engineering North China Electric Power University Beijing China

Photovoltaic power forecasting plays an important role in the power system planning and contributes to the development of renewable energy. This paper proposed a two-stage forecasting method based on Extreme Learning Machine (ELM) and Improved Pointwise Mutual Information (IPMI), which is responsible for short-term forecasting of the small-scale PV station. The method like a hybrid method requires past measured Numerical Weather Prediction (NWP) data and time series of PV power output as input of the system. During the first stage, PMI algorithm is applied to solve the coupling problem and to determine the weather features that contribute to the PV power output. Locally weighted regression (LOESS) smoothing is used as a nonparametric technique to fit a smooth curve to calculate regression error. Then, historical data will be classified into several groups by affinity propagation (AP) clustering method, combing with principal component analysis (PCA). For the second stage, training models and prediction models based on ELM network will be set up for each group obtained by AP clustering respectively. Numerical results for a small-scale PV plant in Beijing present improvements in forecasting accuracy and computation efficiency when compared to other forecasting methods.

关键词： Forecasting Photovoltaic systems Meteorology Predictive models Input variables

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Memory-efficient GPU-based exact and parallel triangle counting in large graphs 21

Memory-efficient GPU-based exact and parallel triangle count...

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21st IEEE International Conference on High Performance Computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019

作者： Ouyang, Zhiyou Wu, Shanni Zhao, Tongtong Yue, Dong Zhang, Tengfei Institute of Advanced Technology School of Automation Nanjing University of Posts and Telecommunications Nanjing210003 China School of Computer Nanjing University of Posts and Telecommunications Nanjing China Institute of Advanced Technology School of Automation Jiangsu Engineering Laboratory of Big Data Analysis and Control for Active Distribution Network Nanjing University of Posts and Telecommunications Nanjing China School of Automation Jiangsu Engineering Laboratory of Big Data Analysis and Control for Active Distribution Network Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781728120584

Triangle counting is one of the basic research topics in many practical problems, such as clustering coefficients, transitivity ratio and traffic network complexity, etc., all of which can be converted into triangle counting issues. In this paper, a memory efficient GPU-based parallel triangle counting algorithm is proposed for large undirected graphs, which based on Polak's parallel forward triangle counting algorithm and improved the algorithm flow, edges sorting and triangle counting kernel function to increase the memory usage efficiency and run time performance. Algorithm comparison with the description of proposed algorithm steps and the implementation details is also introduced in the paper. Performance evaluations show that the proposed algorithm achieves 5 to 10 times speedup over the existing parallel forward algorithm, moreover, the GPU memory usage is reduced to a maximum of 50% compared to the existing algorithm. © 2019 IEEE.

关键词： Graphics processing unit

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