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1st MICCAI Challenge Comprehensive Analysis and Computing of Real-World Medical Images, CARE 2024 Held in Conjunction with 27th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2024

作者： Li, Jihao Han, Xian-Hua Qiao, Xu Sun, Jiande Wang, Jian School of Information Science and Engineering Shandong Normal University Jinan China Graduate School of Artificial Intelligence and Science Rikkyo University Tokyo Japan School of Control Science and Engineering Shandong University Jinan China

ISBN: (纸本)9783031870088

Cardiovascular disease is one of the most difficult diseases to treat. Segmentation of cardiac images is an essential approach to improve the effectiveness and accuracy of cardiovascular disease treatment and intervention. Cardiac image segmentation, however, remains a challenging task, especially for effectively and accurately segmenting the multimodal images and simultaneously segmenting multiple heart substructures. In this paper, we propose a dual-branch U-shaped network based on wavelet transform, called DWU-Net. First, we convert the multimodal medical images into low-frequency and high-frequency images using wavelet transform to narrow the multimodal feature differences. The network consists of two branches of U-shaped sub-network, which accepting low-frequency and high-frequency images, respectively. Low-frequency and high-frequency features extracted by the corresponding branch are fused in deep levels and the final segmentation is achieved by both supervising on segmentation results from fused features and self-supervising among segmentation results from the two branches. The proposed model was verified on the Whole Heart Segmentation ++ (WHS++) dataset, showing greatly improved segmentation results compared with state-of-the-art methods. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Image segmentation

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Fault Diagnosis for Railway Point Machines Using VMD Multi-Scale Permutation Entropy and ReliefF Based on Vibration Signals

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Chinese Journal of Electronics 2025年第1期34卷 204-211页

作者： Yongkui Sun Yuan Cao Peng Li Shuai Su National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University School of Automation and Intelligence Beijing Jiaotong University Frontiers Science Center for Smart High-speed Railway System Beijing Jiaotong University

The railway point machine plays an important part in railway systems. It is closely related to the safe operation of trains. Considering the advantages of vibration signals on anti-interference, this paper develops a novel vibration signal-based diagnosis approach for railway point machines. First, variational mode decomposition(VMD)is adopted for data preprocessing, which is verified more effective than empirical mode decomposition. Next, multiscale permutation entropy is extracted to characterize the fault features from multiple scales. Then ReliefF is utilized for feature selection, which can greatly decrease the feature dimension and improve the diagnosis accuracy. By experiment comparisons, the proposed approach performs best on diagnosis for railway point machines. The diagnosis accuracies on reverse-normal and normal-reverse processes are respectively 100% and 98.29%.

关键词： Vibrations Fault diagnosis Accuracy Data preprocessing Switches Feature extraction Rail transportation Entropy Maintenance Monitoring

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TIPS:Tailored Information Extraction in Public Security Using Domain-Enhanced Large Language Model

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Computers, Materials & Continua 2025年第5期83卷 2555-2572页

作者： Yue Liu Qinglang Guo Chunyao Yang Yong Liao School of Cyber Science and Technology University of Science and Technology of ChinaHefei230026China National Engineering Research Center for Public Safety Risk Perception and Control by Big Data China Academy of Electronics and Information TechnologyBeijing100041China

Processing police incident data in public security involves complex natural language processing(NLP)tasks,including information *** data contains extensive entity information—such as people,locations,and events—while also involving reasoning tasks like personnel classification,relationship judgment,and implicit ***,utilizing models for extracting information from police incident data poses a significant challenge—data scarcity,which limits the effectiveness of traditional rule-based and machine-learning *** address these,we propose *** collaboration with public security experts,we used de-identified police incident data to create templates that enable large language models(LLMs)to populate data slots and generate simulated data,enhancing data density and *** then designed schemas to efficiently manage complex extraction and reasoning tasks,constructing a high-quality dataset and fine-tuning multiple open-source *** showed that the fine-tuned ChatGLM-4-9B model achieved an F1 score of 87.14%,nearly 30%higher than the base model,significantly reducing error *** corrections further improved performance by 9.39%.This study demonstrates that combining largescale pre-trained models with limited high-quality domain-specific data can greatly enhance information extraction in low-resource environments,offering a new approach for intelligent public security applications.

关键词： Public security information extraction large language model prompt engineering

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Effect of Free-End Torsion on the Corrosion and Mechanical Properties for Mg-3Zn-0.2Ca Alloy

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Acta Metallurgica Sinica(English Letters) 2025年第1期38卷 59-70页

作者： Li-Lan Gao Jiang Ma Yan-Song Tan Xiao-Hao Sun Qi-Jun Gao De-Bao Liu Chun-Qiu Zhang Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical EngineeringTianjin University of TechnologyTianjin300384China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of TechnologyTianjin300384China School of Materials Science and Engineering Tianjin University of TechnologyTianjin300384China

Magnesium alloys with excellent degradability and biocompatibility are promising materials for biomedical implants,saving patients the burden of second ***,their mechanical properties and corrosion resistance are significantly below the requirements for implant *** study aims to improve the mechanical and corrosion resistance properties of Mg-3Zn-0.2Ca alloy by pre-torsion treatment,and find out the optimal shear *** rod-shaped Mg-3Zn-0.2Ca alloy specimens were pre-torsion treated at different torsion *** effect of free-end torsion on Mg-3Zn-0.2Ca alloy was characterized through microstructure analysis,mechanical testing,and corrosion ***-torsion treatment can refine grain and induce twins and dislocations in Mg-3Zn-0.2Ca *** surface hardness increases with the increase in torsion *** yield strength and ultimate strength initially increase and then decrease with increasing torsion angle,while ductility decreases with increasing torsion *** with a shear strain of 30%exhibit the highest tensile strength,reaching 284.78±10.62 MPa,with an elongation of 19.37±1.66%.Furthermore,they show a significant improvement in fatigue lives both before and after *** the stress amplitude is 120 MPa,the fatigue lives for specimens without pre-torsion treatment are 54,275 cycles and 4324 cycles before and after pre-corrosion,while they increased significantly to 92,015 cycles and 5050 cycles with the 30%shear strain,***,the 30%shear strain specimens show a significant reduction in corrosion *** conclusion,pre-torsion treatment can effectively modify the microstructure of Mg-3Zn-0.2Ca alloy,enhancing both mechanical properties and corrosion *** optimal shear strain for this improvement is 30%.This study provides a practical method to enhance the mechanical properties and corrosion resistance of Mg-3Zn-0.2Ca alloy,making it more suitable for biomedical implan

关键词： Magnesium alloy Pre-torsion Microstructure Mechanical property Corrosion resistance

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A logistic-Lasso-regression-based seismic fragility analysis method for electrical equipment considering structural and seismic parameter uncertainty

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Earthquake engineering and engineering Vibration 2025年第1期24卷 169-186页

作者： Cui Jiawei Che Ailan Li Sheng Cheng Yongfeng Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education School of Civil EngineeringHarbin Institute of TechnologyHarbin 150094China School of Ocean and Civil Engineering Shanghai Jiao Tong UniversityShanghai 200240China School of Civil and Resource Engineering University of Science and Technology BeijingBeijing 100083China China Electric Power Research Institute Beijing 100055China

Damage to electrical equipment in an earthquake can lead to power outage of power *** fragility analysis is a common method to assess the seismic reliability of electrical *** further guarantee the efficiency of analysis,multi-source uncertainties including the structure itself and seismic excitation need to be considered.A method for seismic fragility analysis that reflects structural and seismic parameter uncertainty was developed in this *** proposed method used a random sampling method based on Latin hypercube sampling(LHS)to account for the structure parameter uncertainty and the group structure characteristics of electrical ***,logistic Lasso regression(LLR)was used to find the seismic fragility surface based on double ground motion intensity measures(IM).The seismic fragility based on the finite element model of an±1000 kV main transformer(UHVMT)was analyzed using the proposed *** results show that the seismic fragility function obtained by this method can be used to construct the relationship between the uncertainty parameters and the failure *** seismic fragility surface did not only provide the probabilities of seismic damage states under different IMs,but also had better stability than the fragility ***,the sensitivity analysis of the structural parameters revealed that the elastic module of the bushing and the height of the high-voltage bushing may have a greater influence.

关键词： seismic fragility uncertainty logistic lasso regression ±1000 kV main transformer sensitivity analysis

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Dynamic Parallel Feedforward Compensator-based Generalized Negative Imaginary Synthesis Allowing Poles At The Origin 26

Dynamic Parallel Feedforward Compensator-based Generalized N...

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26th International Conference on Industrial Technology, ICIT 2025

作者： Cheng, Zhining He, Zhen Meng, Fanwei Zhou, Di Harbin Institute of Technology Department of Control Science and Engineering Harbin China School of Control Engineering Northeastern University at Qinhuangdao Qinhuangdao China

ISBN: (纸本)9798331521950

This paper presents a new negative imaginary(NI) synthesis method for a linear-time-invariant(LTI) system with up to two poles at the origin. A dynamic parallel feedforward compensator(DPFC) is added to the controlled plant, which ensures that the augmented system exhibits generalized negative imaginary(GNI) property. And a set of linear matrix inequalities(LMIs) conditions are derived, leading to easy application of this scheme. The augmented system could be stabilized by any SNI controllers only if satisfying the DC loop gain condition. As an application of these results, an example of stabilizing a flexible satellite is carried out to verify the effectiveness of the proposed method. © 2025 IEEE.

关键词： Linear matrix inequalities

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Recent advances on the electrocatalytic oxidation of biomass-derived aldehydes

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Green Energy and Environment 2025年第5期10卷 898-916页

作者： Zheng, Zhikeng Li, Ke Lin, Lu Jiang, Zhiwei Wang, Yuchen Yan, Kai Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology School of Environmental Science and Engineering Sun Yat-sen University Guangzhou510275 China

The escalating demand for sustainable and environmentally benign chemical processes has driven the exploration of biomass as an alternative to non-renewable resources. Electrocatalytic upgrading of biomass-derived aldehydes plays a crucial role in biomass refining, and has become a frontier of mainstream research. This paper reviews the recent advances on the electrocatalytic oxidation of typical biomass-derived aldehydes (5-hydroxymethylfurfural, furfural, glucose, xylose, vanillin and benzaldehyde, etc.). The research presented in this review covers a wide range of oxidation mechanisms for each aldehyde. It is evident from the current literature that challenges related to the comprehensiveness of mechanistic studies, catalyst stability, and reaction scalability remain, but the rapid progress offers hope for future advancements. Finally, we elucidate the challenges in this domain and provide the perspectives on future developments. This review corroborates the significance of investigating the electrocatalytic oxidation of biomass-derived aldehydes and emphasizes the need for continued research to refine these processes for industrial applications. © 2024 Institute of Process engineering, Chinese Academy of sciences

关键词： Furfural

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Energy Management of Intelligent FCHEVs Under Adaptive Cruise control Based on Multi-Objective Deep Reinforcement Learning

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IEEE Transactions on Vehicular Technology 2025年第5期74卷 7339-7350页

作者： Wang, Haocong Wang, Xiaomin Southwest Jiaotong University Chengdu School of Information Science and Technology Sichuan610031 China Sichuan Provincial Engineering Research Center of Train Operation Control Technology Chengdu611756 China

The integration of advanced adaptive cruise control (ACC) with energy management strategy (EMS) is crucial for improving the fuel efficiency of fuel cell hybrid electric vehicles (FCHEVs). The nonlinearity inherent in ACC and EMS arises from complex interactions between vehicle dynamics system and composite energy sources, necessitating intricate real-time adjustments and resulting in high-dimensional dynamic optimization problems. This paper proposes a data-driven, model-free deep reinforcement learning (DRL) integrated optimization framework that emphasizes balancing multiple objectives - safety, comfort, energy saving, and energy source durability while addressing the challenges of policy convergence exacerbated by potentially sparse rewards in high-dimensional action-state spaces. Specifically, an ACC based on course learning DRL is proposed, with a featuring a staged reward mechanism for driving safety, comfort, and speed consistency to model human-like progressive learning. Then, adaptive equivalent consumption minimization is combined to design the DRL-based EMS that balances fuel economy and power source durability. Finally, the decision sets of the integration optimization framework are generated and verified. The simulation results show that the proposed method can ensure driving safety and traffic throughput, the ego vehicle improves driving comfort by 73.4% and energy saving by 11.5% compared to the preceding vehicle. © 1967-2012 IEEE.

关键词： Adaptive cruise control

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Predictive Vehicle control at Intersections with Look-Ahead Driving Approach

Predictive Vehicle Control at Intersections with Look-Ahead ...

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2025 SICE International Symposium on control Systems, SICE ISCS 2025

作者： Magzhan, Atykhan Hossain, Md Delowar Bakibillah, A.S.M. Kamal, Md Abdus Samad Yamada, Kou Graduate School of Science and Technology Gunma University Kiryu Japan Institute of Science Tokyo Department of Systems and Control Engineering Tokyo Japan

ISBN: (纸本)9784907764852

This paper presents a look-ahead vehicle control scheme for efficient traffic management at signalized intersections. The proposed scheme predicts future driving states with a look-ahead approach as an extended adaptive cruise control (ACC) model. It maintains car-following behavior similar to human driving while predicting future states of traffic flow to minimize intersection clearing time and aggressive braking independently, similar to model predictive control (MPC) approaches. In contrast to MPC models that are computationally demanding and have limited practical applications due to real-time constraints, the proposed scheme uses a modified Intelligent Driver Model (IDM) with predictive adjustments. The efficiency of the control scheme is evaluated through simulations with multiple vehicles in intersection traffic scenarios, focusing on maintaining safe time headway within a traffic flow and ensuring efficient flows with higher intersection throughput. Comparative results indicate improvements in intersection clearance, human-like vehicle headway management, and enhanced traffic flow performance. © 2025 The Society of Instrument and control Engineers.

关键词： Adaptive cruise control

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A Geometric Model Simplification Strategy for CFD Simulation of the Cockpit Internal Environment

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Computer Modeling in engineering & sciences 2025年第2期142卷 1545-1564页

作者： Meng Zhao Jiaao Liu YudiLiu Zhengwei Long Tianjin Key Lab.of Indoor Air Environmental Quality Control School of Environmental Science and EngineeringTianjin UniversityTianjin300072China Architectural Institute China Railway Design CorporationTianjin300308China Environmental Control Oxygen Department Shanghai Aircraft Design and Research InstituteCOMACShanghai201210China

Computational Fluids Dynamics(CFD)simulations are essential for optimizing the design of a cockpit’s internal environment,but the complex geometric models consume a significant amount of computational resources and *** simplification of geometric models may result in inaccurate calculations of physical *** address this issue,this study establishes a geometric model simplification strategy and successfully applies it to a *** implementation of the whole approach is divided into three steps,summarized in three methods,namely Sensitivity Analysis Method(SAM),Detail Suppression Method(DSM),and Evaluation Standards Method(ESM).Sensitivity analysis of the detailed features of the geometric model is performed using the adjoint *** details of the geometric model are suppressed based on the principle of curvature *** evaluation,the suppression degrees of detailed features with different sensitivity levels are *** results demonstrate that this strategy can be employed to achieve precise simplification standards,thereby avoiding excessive deviations caused by arbitrary simplification and reducing the significant costs associated with trial-and-error simplification.

关键词： CFD model simplification cockpit sensitivity analysis detail suppression

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