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SSRN 2023年

作者： Chen, Hui Jiang, Jinlong Chen, Wanlou Liu, Wanquan Liu, Peter Xiaoping College of Automation Engineering Shanghai University of Electric Power Shanghai200090 China Laboratory of System Control and Information Processing Ministry of Education Shanghai200240 China Nanovision Medical Technology Co. Ltd Shanghai200000 China School of Intelligent Systems Engineering Sun Yat-sen University Guangzhou510275 China Department of Systems and Computer Engineering Carleton University OttawaONK1S 5B6 Canada

Efficient and accurate segmentation of the point cloud for indoor scenes is an important task for 3D scene understanding. Due to the complexity of indoor environments. It is difficult to fully extract the details of point cloud, resulting in poor recognizability in existing models. In this paper, a novel framework called joint semantic-instance segmentation via enhancedutilization of neighbor features is proposed to achieve semantic and instance segmentation of indoor scenes. This framework mines point cloud information from a local scale, but it is different from other models in that it focuses on the full mining of point cloud neighbor information. In this regard, a new neighbor feature extraction module is developed to enrich the expression of neighborhood information and enlarge the construction of the neighborhood neighbor scope. Besides, semantic and instance segmentations take advantages of each other by constructing a mutual promotion model of semantic and instance, which can obtain more accurate semantic and instance predictions for indoor scenes. The proposed scheme is evaluated on the S3DIS dataset and compared with existing methods. Experimental results demonstrate that this method is more effective and efficient than previous approaches in joint 3D semantic and instance segmentation. © 2023, The Authors. All rights reserved.

关键词： Semantics

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Coupled flapwise-chordwise-axial-torsional dynamic responses of rotating pre-twisted and inclined cantilever beams subject to the base excitation

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Applied Mathematics and Mechanics(English Edition) 2019年第8期40卷 1053-1082页

作者： Jin ZENG Hui MA Kun YU Zhitao XU Bangchun WEN School of Mechanical Engineering and Automation Northeastern University Shenyang 110819China Key Laboratory of Vibration and Control of Aero-Propulsion System Ministry of Education Northeastern UniversityShenyang 110819China

A rotating pre-twisted and inclined cantilever beam model (RPICBM) with the flapwise-chordwise-axial-torsional coupling is established with the Hamilton principle and the finite element (FE) method. The effectiveness of the model is verified via comparisons with the literatures and the FE models in ANSYS. The effects of the setting and pre-twisted angles on the dynamic responses of the RPICBM are analyzed. The results show that:(i) the increase in the setting or pre-twisted angle results in the increases in the first-order flapwise and torsional frequencies while the decrease in the first-order chordwise frequency under rotating conditions;(ii) a positive/negative setting angle leads to a positive/negative constant component, while a positive/negative pre-twisted angle leads to a negative/positive constant component;(iii) when the rotation speed is non-zero, the pre-twisted angle or non-zero setting angle will result in the coupled flapwise-chordwiseaxial- torsional vibration of the RPICBM under axial base excitation.

关键词： modal characteristic vibration response flapwise-chordwise-axial-torsional base excitation rotating Timoshenko beam

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A Retina-LGN-V1 Structure-like Spiking Neuron Network for Image Feature Extraction 21

A Retina-LGN-V1 Structure-like Spiking Neuron Network for Im...

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Proceedings of the 2021 5th International Conference on Video and Image Processing

作者： Sheng Ji Qijun Gu Ye Yuan Peng Zhao Tao Fang Hong Huo Xin Niu Department of Automation_School of Electronic Information and Electrical Engineering_Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Jiao Tong University China College of Computer Science and Technology on Parallel and Distributed Laboratory National University of Defense Technology China

ISBN: (纸本)9781450385893

SNNs have achieved great attention in recent years as they contain neurons more like those in the brain and use spikes to encode and transmit information efficiently among neurons with lower energy consumption. A Retina-LGN-V1 structure-like spiking neuron network (RLVSL-SNN) is proposed in this paper. It is inspired by the structure of mammalian primary visual pathway, and simulates different biological structures of Retina, LGN and V1. Noise reduction circuit and light adaptation circuit are also simulated for enhancing the robustness of its extracted features. RLVSL-SNN is a bio-plausible neuron network as it has firing rates of neurons in each layer that are similar to those of biological experiments. Besides, a full-connected SNN (FC SNN) is implemented following RLVSL-SNN for classification to evaluate the extracted features. The additive spiking timing dependent plasticity (STDP) learning rules and the ANN-to-SNN conversion method are utilized to train RLVSL-SNN and FC SNN, respectively. The experiments on MNIST dataset have verified that RLVSL-SNN is comparable to AlexNet for classification by features from spikes.

关键词： Additive Spiking Timing Dependent Plasticity Learning Primary Visual Pathway Image Classification Spiking Neural Network

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automation Software Architecture in CPPS - Definition, Challenges and Research Potentials

Automation Software Architecture in CPPS - Definition, Chall...

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Industrial Cyber-Physical systems (ICPS)

作者： Birgit Vogel– Heuser Eva– Maria Neumann Juliane Fischer Marga Marcos Elisabet Esté vez Esté vez Giacomo Barbieri Lisa Sonnleithner Rick Rabiser Institute of Automation and Information Systems TUM School of Engineering and Design Core Member of MDSI Member of MIRMI Technical University of Munich Garching Germany Institute of Automation and Information Systems TUM School of Engineering and Design Technical University of Munich Garching Germany Department of Automatic Control and System Engineering ETSI Bilbao Basque Country University Bilbao Spain Electronics and Automation Engineering Department University of Ja&#x00E9 n Ja&#x00E9 n Spain Department of Mechanical Engineering Universidad de los Andes Bogot&#x00E1 Colombia CDL VaSiCS LIT CPS Lab Johannes Kepler University Linz Linz Austria

The importance of a mature, maintainable design of automation software in Cyber-Physical Production systems (CPPS) is continuously increasing since a growing proportion of the system functionality is implemented via software. As a result, system complexity is shifting more and more towards the software side. Quality characteristics such as flexibility, maintainability, and extensibility, whose importance is increasing in the context of Industry 4.0, are thus becoming harder to achieve. These challenges can only be solved through sound architectural design. While there is a common understanding of good software architecture and appropriate methods to achieve it in computer science, a suitable architecture definition for automation software that takes all relevant factors into account is still missing in the field of CPPS. Therefore, based on a workshop with international scientists with different perspectives on CPPS, this paper presents influencing factors on automation software architecture. On this basis, a joint definition for software architecture in CPPS, as well as challenges and future research potentials, are derived.

关键词： Computer science Production systems Software architecture Conferences Computer architecture Cyber-physical systems Software

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Study on the Acute Inhalation Toxicity of Eco-friendly Gas Insulating Medium C5-PFK 22

Study on the Acute Inhalation Toxicity of Eco-friendly Gas I...

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22nd International Symposium on High Voltage engineering, ISH 2021

作者： Li, Yalong Zhang, Xiaoxing Wei, Zhuo Wang, Yi Li, Yi Xiao, Song Department of Electrical Engineering and Automation Wuhan University Wuhan China GREMI UMR 7344 CNRS Université d'Orléans 14 Rue d'Issoudun Orléans45067 France Hubei Key Laboratory for High-Efficiency Utilization of Solar Energy and Operation Control of Energy Storage System Hubei University of Technology Wuhan China

ISBN: (纸本)9781839536052

The eco-friendly insulating gas C5-PFK is considered promising to replace SF6 as an insulating medium in gas-insulated equipment. At present, there are few reports on the acute inhalation toxicity of C5-PFK gas, leaving hidden dangers for related scientific research and engineering applications. In this paper, by setting up an eco-friendly gas insulating medium acute inhalation test platform, with experimental mice as the research object, a 4h acute inhalation toxicity test study of C5-PFK gas was carried out according to the OECD403 test guide. The study found that after acute inhalation of low-concentration C5-PFK gas, mice will experience symptoms such as excitement, heartbeat and shortness of breath, but will return to normal after a few hours. There will be no abnormalities during the 14-day observation period and their physical condition is good. After acute inhalation of high-concentration C5-PFK gas, mice will become paralyzed and lose their ability to move independently, leading to death. The LC50 of 4h acute inhalation of C5-PFK gas in mice was 7400-7500ppm (female) and 8600-8800ppm (male). The acute toxicity of C5-PFK gas should be classified as the lowest toxic category 4 in the GHS, which is a low-toxic gas. © 2021 The Institution of engineering and Technology.

关键词： Sulfur hexafluoride

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The existence verification of barrier function with application to synchronous safety and stability

The existence verification of barrier function with applicat...

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第32届中国过程控制会议(CPCC2021)

作者： Zheren Zhu Yi Chai Zhihuan Song Xinmin Zhang IEEE State Key Laboratory of Industrial Control Technology College of Control Science and EngineeringZhejiang University State Key Laboratory of Power Transmission Equipment and System Security and New Technology and School of AutomationChongqing University

This paper mainly discusses the existence of barrier function which can guarantee a dynamic system synchronously safe and ***,scholars will use the terms "if there exists a barrier function" for most related *** this paper,we use a particular case to verify the existence of barrier function and whether it can realize stabilization with guaranteed safety,such as synchronously realizing safety and asymptotic stability,safety and uniform asymptotic stability,safety and exponential stability,and safety and finite-time *** think this paper can help to know the safety under the definitions of barrier functions and realize the safety-and-stability control.

关键词： Existence of barrier function synchronous safety and stability pre-compact forward invariant set and dynamic nonlinear system

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A Risk-Averse Just-In-Time Scheme for Learning-Based Operation of Microgrids With Coupled Electricity-Hydrogen-Ammonia Under Uncertainties

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IEEE Transactions on Sustainable Energy 2025年

作者： Li, Longyan Ning, Chao Pan, Guangsheng Zhang, Leiqi Gu, Wei Zhao, Liang Du, Wenli Shahidehpour, Mohammad Shanghai Jiao Tong University Department of Automation Shanghai200240 China Ministry of Education of China Key Laboratory of System Control and Information Processing Shanghai200240 China School of Electrical Engineering Southeast University Nanjing210096 China Zhejiang Key Laboratory of Distributed Generations and Microgrid Technology State Grid Zhejiang Electric Power Research Institute Hangzhou310014 China Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education East China University of Science and Technology China Department of Electrical and Computer Engineering Illinois Institute of Technology ChicagoIL60616 United States

This paper proposes a Risk-Averse Just-In-Time (RAJIT) operation scheme for Ammonia-Hydrogen-based Micro-Grids (AHMGs) to boost electricity-hydrogen-ammonia coupling under uncertainties. First, an off-grid AHMG model is developed, featuring a novel multi-mode ammonia synthesis process and a hydrogen-ammonia dual gas turbine with tunable feed-in ratios. Subsequently, a state-behavior mapping strategy linking hydrogen storage levels with the operation modes of ammonia synthesis is established to prevent cost-ineffective shutdowns. The proposed model substantially improves operational flexibility but results in a challenging nonlinear fractional program. Based upon this model, a data-driven RAJIT scheme is developed for the real-time rolling optimization of AHMGs. Unlike conventional one-size-fits-all schemes using one optimization method throughout, the data-driven RAJIT intelligently switches between cost-effective deterministic optimization and risk-averse online-learning distributionally robust optimization depending on actual risk profiles, thus capitalizing on the respective strengths of these two optimization methods. To facilitate the solution of the resulting nonlinear program, we develop an equivalent-reformulation-based solution methodology by leveraging a constraint-tightening technique. Numerical simulations demonstrate that the proposed scheme guarantees safety and yields an overall cost reduction up to 14.6% compared with several state-of-the-art methods. © 2025 IEEE.

关键词： Ammonia

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Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges

arXiv

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arXiv 2022年

作者： Liu, Qi Li, Xueyuan Li, Zirui Wu, Jingda Du, Guodong Gao, Xin Yang, Fan Yuan, Shihua School of Mechanical Engineering Beijing Institute of Technology Beijing China Chair of Traffic Process Automation "Friedrich List" Faculty of Transport and Traffic Sciences TU Dresden Germany School of Mechanical and Aerospace Engineering Nanyang Technological University Singapore639798 Singapore Institute of Dynamic System and Control ETH Zurich Zurich Switzerland

Proper functioning of connected and automated vehicles (CAVs) is crucial for the safety and efficiency of future intelligent transport systems. Meanwhile, transitioning to fully autonomous driving requires a long period of mixed autonomy traffic, including both CAVs and human-driven vehicles. Thus, collaboration decision-making for CAVs is essential to generate appropriate driving behaviors to enhance the safety and efficiency of mixed autonomy traffic. In recent years, deep reinforcement learning (DRL) has been widely used in solving decision-making problems. However, the existing DRL-based methods have been mainly focused on solving the decision-making of a single CAV. Using the existing DRL-based methods in mixed autonomy traffic cannot accurately represent the mutual effects of vehicles and model dynamic traffic environments. To address these shortcomings, this article proposes a graph reinforcement learning (GRL) approach for multi-agent decision-making of CAVs in mixed autonomy traffic. First, a generic and modular GRL framework is designed. Then, a systematic review of DRL and GRL methods is presented, focusing on the problems addressed in recent research. Moreover, a comparative study on different GRL methods is further proposed based on the designed framework to verify the effectiveness of GRL methods. Results show that the GRL methods can well optimize the performance of multi-agent decision-making for CAVs in mixed autonomy traffic compared to the DRL methods. Finally, challenges and future research directions are summarized. This study can provide a valuable research reference for solving the multi-agent decision-making problems of CAVs in mixed autonomy traffic and can promote the implementation of GRL-based methods into intelligent transportation systems. The source code of our work can be found at https://***/Jacklinkk/Graph_CAVs. Copyright © 2022, The Authors. All rights reserved.

关键词： Reinforcement learning

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DC fault ride-through for wind power integration via MMC-HVDC based on precise control of energy storage configured inside wind farm

DC fault ride-through for wind power integration via MMC-HVD...

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Renewable Power Generation and Future Power systems Conference 2023 (RPG 2023 UK)

作者： Y. Sun Y. Guo F. Fan J. Fan G. Li Z. Wang X. Wu Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin People's Republic of China School of Electrical Engineering and Automation Harbin Institute of Technology Harbin People's Republic of China Department of Electronic and Electrical Engineering University of Strathclyde Glasgow UK State Grid Smart Grid Research Institute Beijing People's Republic of China

The modular multilevel converter-based high voltage direct current (MMC-HVDC) overhead lines transmission scheme is the preferred option for wind power integration, though it is susceptible to DC faults. To ensure the connection of a wind farm (WF) to the grid during DC faults, this paper proposes a coordinated control strategy for DC fault ride-through (FRT) based on the energy storage system configured inside the WF for wind power integration through a bipolar MMC-HVDC. In the case of an instantaneous DC fault, the non-fault pole is regulated to operate at full power state to maximise wind power transmission. The exceedance of available wind power outputs over the transmission capacity of the non-fault pole is then accurately allocated to the internal energy storage units (ESUs) of wind generators (WGs) in order to ensure the power balance of the system and reduce the state of charge variance of ESUs as soon as possible. In order to reduce the energy capacities of ESUs required to store the excessive wind power in the event of a permanent DC fault, the method of step-by-step removing WGs is adopted to ensure the system power remaining balanced when the internal ESUs of the disconnected WGs are out of operation. The model is developed and carried out on the PSCAD/EMTDC simulation platform to verify the effectiveness of the proposed control strategies.

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Research on the release management technology of the mobile application for electricity dispatching 3

Research on the release management technology of the mobile ...

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2021 3rd International Conference on Electronic engineering and Informatics, EEI 2021

作者： Dai, Jinxia Li, Donghai Gao, Baoshan Zhou, Ling Chen, Wenjing Electronic Information Engineering Nanjing University of Information Science and Technology Jiangsu Nanjing211106 China Nanjing Institute of Technology Electrical Engineering and Its Automation Jiangsu Nanjing211106 China School of Control and Computer Engineering North China Electric Power University Beijing Bejing102206 China Geographic Information System Hohai University Jiangsu Nanjing211106 China Computer Science and Technology Hohai University Jiangsu Nanjing211106 China

With the continuous development of the power system and the rapid growth of the scale of the power grid, the information that needs to be monitored, inquired, and maintained in the power grid dispatching system is increasing. The traditional way of understanding the realtime operation status of the power grid through dispatching workstations is increasingly unable to meet the requirements of modern power grids for monitoring, operation and maintenance in real-time, timeliness, and anywhere. In the face of such a huge business demand market, how to develop mobile applications that meet customer needs with minimal investment in resources and efficient development efficiency has become our research direction. This paper discusses a release management technology of the mobile application for electricity dispatching that meets the above requirements. This technology adopts the design mode of "shared application + personalized page", without too much intervention by developers, Users can edit and compress their own personalized pages, then upload to the version server and update the main page on the mobile devices themselves;this technology improves the efficiency of opening graphics file and the response time of operation through caching the graphic files and only refreshing the operation area mechanisms;through the publish/subscribe message bus mechanism, the hot update effect of the main page is realized;the service is restored through one-click, which provides users with more operating space. © Published under licence by IOP Publishing Ltd.

关键词： Efficiency

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