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28th Annual Conference on Medical Image Understanding and Analysis, MIUA 2024

作者： Roy, Ayush Pramanik, Payel Ghosal, Sohom Valenkova, Daria Kaplun, Dmitrii Sarkar, Ram Department of Electrical Engineering Jadavpur University Kolkata700032 India Department of Computer Science and Engineering Jadavpur University Kolkata700032 India Department of Electronics and Communication Engineering International Institute of Information Technology Chhattisgarh India Department of Automation and Control Processes Saint Petersburg Electrotechnical University LETI Saint Petersburg Russia Artificial Intelligence Research Institute China University of Mining and Technology Xuzhou China

ISBN: (纸本)9783031669545

Breast cancer is a major global health concern. Pathologists face challenges in analyzing complex features from pathological images, which is a time-consuming and labor-intensive task. Therefore, efficient computer-based diagnostic tools are needed for early detection and treatment planning. This paper presents a modified version of MultiResU-Net for histopathology image segmentation, which is selected as the backbone for its ability to analyze and segment complex features at multiple scales and ensure effective feature flow via skip connections. The modified version also utilizes the Gaussian distribution-based Attention Module (GdAM) to incorporate histopathology-relevant text information in a Gaussian distribution. The sampled features from the Gaussian text feature-guided distribution highlight specific spatial regions based on prior knowledge. Finally, using the controlled Dense Residual Block (CDRB) on skip connections of MultiResU-Net, the information is transferred from the encoder layers to the decoder layers in a controlled manner using a scaling parameter derived from the extracted spatial features. We validate our approach on two diverse breast cancer histopathology image datasets: TNBC and MonuSeg, demonstrating superior segmentation performance compared to state-of-the-art methods. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Gaussian distribution

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An Optimization Method for SLAM Feature Point Extraction in Fuzzy Scenes 10

An Optimization Method for SLAM Feature Point Extraction in ...

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10th International Forum on Electrical engineering and automation, IFEEA 2023

作者： Wang, Yunmeng Cui, Long Liu, Zaoming Liu, Nailong Shenyang Institute of Automation Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China Beijing Institute of Control Engineering Science and Technology on Space Intelligent Control Laboratory Beijing China

ISBN: (纸本)9798350309379

In order to solve the problem that image blur is easily caused by camera shaking of micro-robots during surgical navigation, which leads to the accumulation of SLAM errors, this paper studies the feature point extraction optimization method based on deep learning in fuzzy scenes, proposes an improved defuzzification network, and finally applies the network to the front end of SLAM, and conducts experimental verification on the open data set TUM. The results show that the proposed algorithm significantly improves the accuracy of front-end feature extraction and matching. © 2023 IEEE.

关键词： environment perception feature extraction fuzzy detection Monocular vision SLAM Surgical navigation

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Health level verification for electric control valve based on BiLSTM with multi-head attention mechanism

Health level verification for electric control valve based o...

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2024 International Conference on Cloud Computing, Performance Computing, and Deep Learning, CCPCDL 2024

作者： Duan, Wenqiang Zhang, Jingyu Yang, Bing Wei, Baohong Li, Ying Tianjin Key Laboratory of Information Sensing and Intelligent Control Tianjin University of Technology and Education Tianjin China Tianjin Engineering Machinery Research Institute Co. Ltd. Tianjin China Automation Technology Co. Ltd. Tianjin China

ISBN: (纸本)9781510683044

The failure of electric valves represents a significant safety hazard in industrial systems. Traditional manual detection and regular replacement strategies are insufficient to address this issue. This study proposes an online verification method combining convolutional neural networks (CNN), two-way long short-term memory networks (BiLSTM) and multi-head attention mechanism (MHA), which is capable of identifying weak fault characteristics such as plugging and twitching caused by regulator wear. Transfer learning addresses the issue of data scarcity and enhances the model's adaptability in the target domain. The CNN-BiLSTM-MHA-TL model exhibited high prediction accuracy, with MAE, RMSE, and MAPE values of 0.4451, 0.5722, and 0.0132, respectively. This online verification method offers notable advantages and promising prospects for application in the field of valve health monitoring. © 2024 SPIE.

关键词： Convolutional neural networks

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Towards influence centrality: where to not add an edge in the network?

arXiv

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arXiv 2024年

作者： Shrinate, Aashi Tripathy, Twinkle Control and Automation specialization of the Department of Electrical Engineering Indian Institute of Technology Kanpur Uttar Pradesh Kanpur208016 India

In this work, we consider a strongly connected group of individuals involved in decision-making. The opinions of the individuals evolve using the Friedkin-Johnsen (FJ) model. We consider that there are two competing ‘influencers’ (stubborn agents) vying for control over the final opinion of the group. We investigate the impact of modifying the network interactions on their respective control over the final opinions (influence centrality). We use signal flow graphs (SFG) to relate the network interactions with the influence that each ‘influencer’ exerts on others. We present the sufficient conditions on the edge modifications which lead to the increase of the influence of an ‘influencer’ at the expense of the other. Interestingly, the analysis also reveals the existence of redundant edge modifications that result in no change in the influence centrality of the network. We present several numerical examples to illustrate these results. © 2024, CC BY-NC-ND.

关键词： Signal flow graphs

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Preventive Maintenance Strategy of Environmental Test Chamber Based on Particle Swarm Optimization Algorithm

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International Journal of Circuits, Systems and Signal Processing 2022年 16卷 618-627页

作者： Zhou, Xianwen Gu, Chaoyang Sun, Yuyu Han, Chengjing Gu, Wei Niu, Wangqiang Key Laboratory of Transportation Technology and Control Engineering Shanghai Maritime University Shanghai201306 China Jiangsu Automation Research Institute Lianyungang222021 China Shanghai Sizhong Experimental Equipment Co. Ltd Shanghai201615 China

—With the development of various physical industries, people pay more attention to reliability tests and test equipment. To solve the problem of making maintenance strategy of an environmental test chamber for reliability test, a periodic preventive maintenance strategy based on RCM(Reliability Centre Maintenance) is proposed. Firstly, a multi-objective optimization model of reliability and maintenance cost is established by combining reliability theory and life distribution theory, and two objectives of equipment reliability and maintenance cost are considered. Secondly, the actual environmental test chamber fault maintenance data is analyzed, and it is found the fault distribution meets the dual parameter Weibull. Finally, the particle swarm optimization algorithm is used to solve the multi-objective model optimization, and a series of Pareto optimal solutions are obtained, that is, the number of maintenance times and the corresponding time interval in the operation cycle of the environmental test chamber, and these solutions might be good references for maintenance management personnel. © 2022, North Atlantic University Union NAUN. All rights reserved.

关键词： Weibull distribution

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Finite element joint simulation model applied to fast mechanical switching of controlled resonance combination circuit breakers

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High Voltage 2025年第2期10卷 419-435页

作者： Puyi Cui Guoli Li Zehui Sun Jiazi Xu Guoyong Zhang Zhong Chen Weiping Guan School of Electrical Engineering and Automation Anhui UniversityHefeiChina Engineering Research Center of Power Quality Ministry of EducationAnhui UniversityHefeiChina Anhui Key Laboratory of Industrial Energy-Saving and Safety Anhui UniversityHefeiChina Anhui Collaborative Innovation Center of Industrial Energy-Saving and Power Quality Control Anhui UniversityHefeiChina Anhui Zhengguangdian Electric Power Technology Co. HefeiChina Electric Power Research Institute of State Grid Anhui Electric Power Co. Ltd.HefeiChina

Fast mechanical switches(FMSs)are critical components of DC circuit breakers(DCCBs),which require the switch action time to break to a sufficient distance within 3 ms in the DC line breaking scenario,while ensuring a long service *** breaking mechanism significantly affects the current interruption capability of *** operation of the repulsion mechanism,along with the morphology of the arc and its transformation within the interrupter chamber,collectively influence the breaking performance of the *** paper presents a comprehensive analysis of the FMSs,which serves as the pivotal component of controlled resonance combination circuit breakers(CRCBs).This study establishes a multi physics coupling simulation analysis method based on the equivalent circuit of repulsion mechanism discharge,combined with electromagnetic and solid mechanics *** constructing a full cycle magnetohydrodynamic particle arc(MHP)model and using a combined simulation of Finite Element joint model(FEJM),the evolution law of arc characteristics during the superimposed current interruption process was systematically *** focus was on analysing the physical process of the zero zone of the superimposed arc,the multi physics field coupling relationship of the arc,and the interaction mechanism with external characteristic *** combining with optimisation design methods,the effectiveness of the model was verified through experiments,FEJM provides comprehensive technical support for effectively reflecting the stress issues of core components during the breaking process of FMS and can provide accurate theoretical references for the optimisation design of mechanical motion components in *** also accurately represents the arc extinguishing process during the breaking of FMS and provides a convenient method for the selection and design of circuit parameters for the entire circuit breaker.

关键词： dc circuit breakers dccbs which interrupter chambercollectively dc line breaking repulsion mechanismalong fast mechanical switching breaking mechanism fast mechanical switches fmss finite element joint simulation model

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Fault diagnosis of Electro-hydrostatic actuators based on CWT and CNN-Transformer 3

Fault diagnosis of Electro-hydrostatic actuators based on CW...

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3rd International Conference on Intelligent Mechanical and Human-Computer Interaction Technology, IHCIT 2024

作者： Li, Jiatong Tu, Chaofan Wang, Xingjian Wang, Zhaoyang Xiu, Wanbo School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Laboratory of Science and Technology on Marine Navigation and Control China State Shipbuilding Corporation Tianjin300131 China China Tianjin Navigation Instrument Research Institute Tianjin300131 China

ISBN: (纸本)9781510683105

Electro-hydraulic actuator (EHA) system is a key component of the ship's electro-hydraulic control system, but the internal failure mechanism of EHA is extremely complex, and it is limited by insufficient detection methods in practical systems, making fault diagnosis of EHA a great challenge. To address this issue, this paper proposes a fault diagnosis method based on Continuous Wavelet Transform (CWT), Convolutional Neural Network (CNN) and Transformer. Firstly, the collected one-dimensional time series signal of the sensor is converted into a two-dimensional time-frequency map through CWT. Then, a hybrid module of CNN-Transformer is used to extract local and global fault features, and finally the classification results are output through softmax. Conduct EHA fault simulation experiments to validate the proposed method. The research results indicate that the proposed method has a fault diagnosis accuracy of 96.33%, achieving high-precision diagnosis of EHA faults. © 2024 SPIE.

关键词： Wavelet transforms

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Interval Type-2 Fuzzy Hierarchical Adaptive Cruise Following-control for Intelligent Vehicles

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IEEE/CAA Journal of Automatica Sinica 2022年第9期9卷 1658-1672页

作者： Hong Mo Yinghui Meng Fei-Yue Wang Dongrui Wu the College of Electric and Information Engineering Changsha University of Science and TechnologyChangsha 410114China the State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190 Qingdao Academy of Intelligent Industries Qingda 266109 the Center of China Economic and Social Security University of Chinese Academy of SciencesBeijing 100190China the Ministry of Education Key Laboratory on Image Information Processing and Intelligent Control the School of Artificial Intelligence and AutomationHuazhong University of Science and TechnologyWuhan 430074China

Intelligent vehicles can effectively improve traffic congestion and road traffic *** cruise followingcontrol(ACFC)is a vital part of intelligent *** this paper,a new hierarchical vehicle-following control strategy is presented by synthesizing the variable time headway model,type-2 fuzzy control,feedforward+fuzzy proportion integration(PI)feedback(F+FPIF)control,and inverse longitudinal dynamics model of ***,a traditional variable time headway model is improved considering the acceleration of the lead ***,an interval type-2 fuzzy logic controller(IT2 FLC)is designed for the upper structure of the ACFC system to simulate the driver's operating *** reduce the nonlinear influence and improve the tracking accuracy for the desired acceleration,the control strategy of F+FPIF is given for the lower control ***,the lower control method proposed in this paper is compared with the fuzzy PI control and the traditional method(no lower controller for tracking desired acceleration)***,the proportion integration differentiation(PID),linear quadratic regulator(LQR),subsection function control(SFC)and type-1 fuzzy logic control(T1 FLC)are respectively compared with the IT2 FLC in control performance under different ***,the simulation results show the effectiveness of IT2 FLC for the upper structure and F+FPIF control for the lower structure.

关键词： Adaptive cruise following-control(ACFC) feedforward+fuzzy proportion integration(PI)feedback(F+FPIF) type-2 fuzzy control variable time headway

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Platoon control of connected vehicles with heterogeneous model structuresconsidering external disturbances

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Green Energy and Intelligent Transportation 2022年第3期1卷 94-102页

作者： Yongfu Li Zongyu Qin Hao Zhu Srinivas Peeta Xinbo Gao Key Laboratory of Intelligent Air-Ground Cooperative Control for Universities in Chongqing College of AutomationChongqing University of Posts and TelecommunicationsChongqing400065China Schools of Civil and Environmental Engineering and Industrial and Systems Engineering Georgia Institute of TechnologyAtlantaGA30332United States of America

This article studies the distributed cooperative control problem with the heterogeneous model structures and external disturbances for the connected vehicle(CV)*** propose a hierarchical framework to separate information flow topology from local dynamics control,which aims to deal with the heterogeneous model structures of CV *** hierarchical framework splits the control scheme into two layers,which include an observer in the upper-level layer and an integral sliding mode(ISM)controller in the lower-level ***,the conditions for the asymptotic stability of the CV platoon are derived and the effectiveness of the ISM controller is demonstrated through the Lyapunov *** research shows that compared with the traditional methods,the hierarchical framework does not need to specify the topology structure as a commonly used ***,numerical simulation results are performed to test the effectiveness and superiority of the developed controller.

关键词： Connected vehicle Platoon control Heterogeneity Disturbances Lyapunov method

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An Adaptive Fault-Tolerant control Without Fault Location of Open-Phase Fault for Dual Three-Phase PMSM Drive System

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IEEE Journal of Emerging and Selected Topics in Power Electronics 2025年

作者： Liu, Qi Xiao, Lan Wu, Qunfang Zhao, Xiaopeng Liu, Ying Nanjing University of Aeronautics and Astronautics College of Automation Engineering Nanjing211100 China Avic Xi'an Flight Automatic Control Research Institute Xi'an710000 China

An adaptive fault-tolerant control (FTC) method without fault localization is proposed for the common open-phase faults (OPFs) in dual three-phase permanent magnet synchronous motor (DTP-PMSM) drive systems. The method eliminates the need for fault localization through fault diagnosis, thus reducing the risk of misdiagnosis. The operational state of the DTP-PMSM under OPF is analyzed and a uniform reference current with fault current angle is established in the dual dq coordinate system. After an OPF occurs, the unified current reference can be directly applied to the drive system without fault localization. The fault current angle is acquired by Phase-Locked Loop (PLL), and can still be well acquired even under light load condition. Compared with the existing PLL-based adaptive fault tolerance scheme, one PLL loop is reduced, which reduces the computational burden. The proposed adaptive FTC scheme does not require adjustment of the control framework, machine model and transformation matrix before and after the OPF, and the switching between minimum copper loss, maximum torque output and healthy operation can be achieved by adjusting the amplitude coefficient of the reference current. Experimental results verify the effectiveness of the proposed fault-tolerant control scheme. © 2025 IEEE.

关键词： Permanent magnets

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