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检索条件"任意字段=3rd Euro-NF Conference on Network Control and Optimization"

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optimization of the Paris wastewater treatment plants and sewer network: preliminary results 3

Optimization of the Paris wastewater treatment plants and se...

引用

3rd control conference Africa (CCA)

作者： Tasiaux, Cassandre Dochain, Denis Taylor, Joshua Rapaport, Alain Vanrolleghem, Peter UCLouvain ICTEAM 4-6 Ave Georges Lemaitre B-1348 Louvain La Neuve Belgium New Jersey Inst Technol Newark NJ 07102 USA INRAE 2 Pl Viala F-34060 Montpellier 01 France Univ Laval Quebec City PQ Canada

This paper deals with the application of second order come convex optimization to the real time management of the wastewater treatment plants and sewer network of Paris and of its suburbs. It presents preliminary results applied on a simple case study composed of (simple) validated models of three wastewater treatment plants (Seine Aval (SAV), Seine Centre (SEC) and Seine Gresillons (SEG)) and their (inter)connections to the sewer network modelled by transport delays. Copyright (c) 2024 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)

关键词： Convex optimization second order cone network control wastewater treatment real time management

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PCB network analysis and flyneedle path optimization 3

PCB network analysis and flyneedle path optimization

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3rd International conference on Computer, control and Robotics, ICCCR 2023

作者： Hu, Yujie Luo, Xiang Li, Xiaofan Southeast University School of Mechanical Engineering Jiangsu Nanjing China

ISBN: (纸本)9781665492126

Print circuit board is one of the important components of the electronics industry. The Gerber format is a common format for printing circuit boards. Aiming at the lack of software to analyze the network analysis of Gerber files in China, a software has been developed;it can effectively and quickly complete the analysis and drawing of Gerber files, and use Breadth-First-Search to complete the network analysis. Based on the results of network analysis, an ant colony algorithm and genetic algorithm complete the excellent work of the flying needle path of the flying needle tester. © 2023 IEEE.

关键词： Printed circuit boards

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Local Self-adaptive Volt-var Optimal control in Distribution network 3

Local Self-adaptive Volt-var Optimal Control in Distribution...

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3rd International conference on Energy, Power and Electrical Technology, ICEPET 2024

作者： Chen, Minghui Wu, Zhaoyu Niu, Zhenyong Guangzhou Power Supply Bureau Guangdong Power Grid Co. Ltd Guangzhou China

ISBN: (纸本)9798350352658

This paper proposes a self-adaptive volt-var optimal control strategy to address the challenges that traditional control faces in adapting to changing distribution network operating conditions and the difficulty that local control faces in achieving equipment and photovoltaic coordination. To balance the reactive power of solar and compensators from overall situation demand, the local optimum control develops an adaptive coordination factor and a self-control optimization factor. Using the reactive power margin coefficient as a guide, the local self-adaptive optimum control maximizes reactive power with the goal of reducing power losses or the danger of voltage overrun. The techniques described in this study are simulated using an actual feeder as an example. The outcomes validate the suggested approach's validity and demonstrate its superior performance in maximizing reactive power production, lowering power loss, and enhancing voltage quality. © 2024 IEEE.

关键词： Power distribution networks

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Video summarization network based on Space-Time attention and genetic algorithm optimization 24

Video summarization network based on Space-Time attention an...

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3rd International conference on Cyber Security, Artificial Intelligence and Digital Economy (CSAIDE)

作者： Ao, Naixiang Shi, Fucheng Lianhai Chuangzhi Informat Technol CoLtd Urumqi 830011 Xinjiang Peoples R China Xinjiang Univ Sch Informat Sci & Engn Urumqi 830017 Xinjiang Peoples R China

ISBN: (纸本)9798400718212

In order to solve the problems of incomplete representation of video frame features in video summarization tasks, most methods can easily ignore timing information, while data noise, incomplete or varying quality video clips may be encountered, which tend to produce undesirable summaries under suboptimal conditions, we propose a video summarization network based on space-time attention and genetic algorithm optimization (VSSTGA). First, an improved Transformer network is used instead of the original backbone network, which is able to model the overall structure, long-distance dependency, and contextual relationships;then, a separate space-time attention mechanism is used, which reduces the computational effort and allows for the construction of temporal features;finally, mutation and crossover in the Genetic Algorithm is used to optimize the extracted features, which achieves the effect of evolving the model through data augmentation, and improves the robustness of the model. Finally, using mutation and crossover in genetic algorithm to optimize the extracted features can achieve the effect of evolving the model through data enhancement and improve the robustness and generalization ability of the model. The F-scores on the SumMe dataset and TVSum dataset are 53.04% and 63.07%, which are 2.8% and 1.0% higher than the existing methods, respectively. In conclusion, our method achieves accurate and comprehensive extraction of video frame features and generates more comprehensive video summarization results by introducing separate space-time attention mechanisms and genetic algorithms.

关键词： Video summarization space-time attention Genetic Algorithm Mutation Crossover

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Design and optimization of University Human Resource Management System Based on BP Neural network Algorithm 3

Design and Optimization of University Human Resource Managem...

引用

3rd International conference on Data Analytics, Computing and Artificial Intelligence, ICDACAI 2024

作者： Guo, Yu Li, Yuanyuan Zhu, Hongbo Lian, Lijuan Sanya Aviation and Tourism College Hainan Sanya572000 China Hainan University Haikou Hainan570228 China Lyceum of the Philippines University Batangas Batangas4200 Philippines

ISBN: (纸本)9798331519032

In HRM(Human resource management), it has become an inevitable trend to integrate human resources, improve management methods and accelerate the overall development of human resources through information technology. In this paper, the design and optimization of university HRM system based on BPNN (BP neural network) algorithm are studied. Establish HRM system and apply three-layer BPNN model to salary forecast. In the actual budget, the standard BP algorithm has two important problems: slow convergence speed and easy to fall into local extremum. Therefore, this paper improves the BP algorithm by adding momentum term. The results show that the risk output value is in good agreement with the expert evaluation score, and the error is basically below 5%. The salary forecasting model optimized by NAG has a fast convergence rate and good forecasting effect, and the accuracy rate is not low, so it has certain practicability and reference value. © 2024 IEEE.

关键词： Budget control

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Power system reactive power optimization with distributed power sources based on improved gravity search algorithm 3

Power system reactive power optimization with distributed po...

引用

3rd International conference on Electrical Engineering and control Science, IC2ECS 2023

作者： Shen, Yizhuang Wang, Xihuai Logistic Engineering College Shanghai Maritime University Shanghai China

ISBN: (纸本)9798350382426

Distributed power sources can lead to problems such as increased active network loss and voltage quality degradation of the system when they are integrated into the grid. In this paper, we propose a reactive power optimization method for distributed power sources by time period. The objectives of this method are to reduce the system active network loss and voltage offset, to establish a power system reactive power optimization model containing distributed power sources in time slots, and to improve the standard gravitational search algorithm which is easy to fall into the local optimum. Simulation verification is carried out with the improved IEEE33 node arithmetic example, and the results show that this method can effectively reduce the system active network loss and improve the voltage quality. © 2023 IEEE.

关键词： component Distributed power gravitational search algorithm inverse learning LSTM quadratic interpolation reactive power optimization Tent chaotic mapping

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Power Flow optimization Based on Multi-constraint Relaxation for Active Distribution network 3

Power Flow Optimization Based on Multi-constraint Relaxation...

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3rd International conference on Electrical Engineering and Mechatronics Technology, ICEEMT 2023

作者： Yang, Feixia Dong, Xianda Ma, Fei Wang, RunPeng Liaoning Technical University School of Electrical and Control Engineering Huludao China

ISBN: (纸本)9798350303698

Generally, power flow optimization aims to minimize active power loss or generation cost in active distribution network. However, the control variables include continuous and discrete types. Since both discrete variables and continuous variables appear in the optimization variables, power flow optimization is essentially a nonlinear programming problem with mixed integers. This paper proposes a power flow optimization method based on second-order cone relaxation and Big-M method by using the branch power flow model. By relaxation of multiple constraints, the original non-convex and nonlinear programming problem can be transformed into a convex problem for solving. The experimental results on IEEE-14 node and IEEE-33 node systems, demonstrate that the proposed multi-constraint relaxation method has significant performance improvements in network loss rate and loss reduction rate, which also verifies the validation of the method in active distribution network. © 2023 IEEE.

关键词： Electric power distribution

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Research on Power Flow optimization of New Energy AC-DC Hybrid Distribution network Based on NSGA-II Algorithm 3

Research on Power Flow Optimization of New Energy AC-DC Hybr...

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3rd International conference on New Energy and Power Engineering, ICNEPE 2023

作者： Jing, Kun Wang, Jian Li, Zifeng Li, Ziwei Shenyang University of Technology School of Electrical Engineering Shenyang China

ISBN: (纸本)9798350393224

In the present era, the integration of renewable energy into the power grid, along with the utilization of large-scale power electronic converters, has made power flow calculations more challenging. To ensure accurate power flow distribution and enhance the economic and reliable operation of the power system, this study focuses on optimizing the power flow in AC-DC hybrid distribution networks. Firstly, the power flow of an AC-DC hybrid distribution network is modeled. Then, the NSGA-II algorithm is employed to achieve multiple optimization objectives, including the coordinated control of active power network loss and voltage offset in the AC-DC hybrid distribution network. Finally, an example is presented to validate the proposed method. © 2023 IEEE.

关键词： current optimization Introduction distribution network renewable energy

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Satellite Image Denoising Using Optimized Pulse Coupling network 3

Satellite Image Denoising Using Optimized Pulse Coupling Net...

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3rd IEEE International conference on Intelligent Techniques in control, optimization and Signal Processing, INCOS 2024

作者： Rajesh, V. Sivakumar, P. Kalasalingam Academy of Research and Education Department of Ece Tamil Nadu Krishnan Koil626126 India

ISBN: (纸本)9798350361186

Satellite image denoising is of utmost importance in various applications weather monitoring, flood control and crop monitoring focusing on enhancing the visual quality of affected images. Denoising is a contemporary trend in the application of image processing, yet encounters numerous restrictions attributed to environmental conditions. In recent times, there has been extensive exploration of DL (deep learning) methods for the purpose of noise removal in satellite images. This work presents a DL based optimization model for Satellite image denoising. That is the DL model PCN (pulse coupling network) with AF (artificial flora) optimizer is used for parameter enhancement in PCN. PSNR and SSIM values achieved are 44.8 and 0.89 respectivelyon the FloodNet database. Thus, the analysis yielded superior performance and achieved better quality images. © 2024 IEEE.

关键词： Image denoising

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2024 3rd International conference on Energy and Electrical Power Systems, ICEEPS 2024

2024 3rd International Conference on Energy and Electrical P...

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3rd International conference on Energy and Electrical Power Systems, ICEEPS 2024

ISBN: (纸本)9798350375138

The proceedings contain 267 papers. The topics discussed include: deep learning prediction for multiple source-load via VMD-RIME-LSTM;a hybrid GRU-LightGBM model for day-ahead electricity price forecasting;remaining-capacity-based distributed control for harmonic sharing in islanded microgrids;networking mode and evaluation method of low voltage direct current charging and discharging system in residential communities;the three-stage model and analysis of cable terminal boot failure development;electromagnetic performance analysis and optimization of asynchronous motors based on finite element analysis;research on normal force of linear induction motor based on Ansoft;and reliability evaluation method of distribution network under extreme disasters based on index reuse.

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