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IEEE International Conference on Mechatronics, Robotics and Automation (ICMRA)

作者： Zhuoya Hu Jun Liu Ji Xu Chaoqian Ye School of Computer Science & Engineering Wuhan Institute of Technology Wuhan China Key Laboratory of Biomarkers and In Vitro Diagnosis Translation of Zhejiang province Hangzhou China Hubei Engineering Research Center for Intelligent Digital Technology in New Power System Hubei Central China Technology Development of Electric Power Co. Ltd Wuhan China

ISBN: (数字)9798350352474

ISBN: (纸本)9798350352481

The flexible job-shop problem is one of the classical problems that have attracted much attention in the field of industrial automation and control. For the Multi-Objective Flexible Job-shop Scheduling Problem (MOFJSP), this paper proposes a hybrid particle swarm Non-dominated Sorting Genetic Algorithm II (NSGA-II) to solve the problem. The high-quality solution of the problem is obtained through particle swarm optimization as part of the initial population of NSGA-II, and an elite strategy is used to prevent the loss of outstanding individuals by mixing all the individuals of the parent and the offspring in a non-dominated sorting method. This approach not only facilitates automation in manufacturing and production but also enhances the control and optimization of complex systems. Furthermore, integrating intelligent transportation systems and the Internet of Things (IoT) into the scheduling process ensures real-time fault diagnosis and fault-tolerant control, thereby improving the overall efficiency and reliability of the production system. The experimental results show that the hybrid optimization approach combining PSO and NSGA-II exhibits superior performance in solving MOFJSP. This research contributes to the advancement of cyber-physical systems and the automation of complex industrial processes.

关键词： Production systems Job shop scheduling Automation Process control Real-time systems Manufacturing Internet of Things Particle swarm optimization Optimization Sorting

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MBTDiff: Multi-segmentation Brain Tumor Model with Diffusion Probabilistic Model

MBTDiff: Multi-segmentation Brain Tumor Model with Diffusion...

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International Conference on Image, Vision and Computing (ICIVC)

作者： Shuqi Zeng Jun Liu Ji Xu Yuan Luo School of Computer Science and Engineering Wuhan Institute of Technology Wuhan China Key Laboratory of Biomarkers and In Vitro Diagnosis Translation of Zhejiang province Hangzhou China Hubei Engineering Research Center for Intelligent Digital Technology in New Power System Hubei Central China Technology Development of Electric Power Co Ltd Wuhan China

ISBN: (数字)9798350385991

ISBN: (纸本)9798350386004

The diffusion probability model has recently garnered remarkable achievements in image generation, emerging as a prominent research focus within computer vision. It has been observed through numerous studies that the diffusion probability model holds potential for application across various domains within computer vision. Drawing inspiration from these models, we present a novel approach to extend their utility to the realm of brain tumor medical image segmentation. Our method entails training the model utilizing a diffusion framework, followed by iterative refinement of segmentation outcomes by incorporating additional encoding layers and decoders. This method employs an end-to-end training approach without relying on pre-trained backbone networks. Given the probabilistic nature of the results generated by the diffusion model and to simulate the actual decision-making process of doctors, we will generate multiple segmentation results and apply denoising techniques to obtain a stable output. These results will then be integrated into the final segmentation map to achieve more precise segmentation.

关键词： Training Image segmentation Computer vision Three-dimensional displays Computational modeling Magnetic resonance imaging Brain tumors Brain modeling Diffusion models Biomedical imaging

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Core-Shell-Architected Active Sites from a Prussian Blue Analogue Enable Bifunctional Oxygen Electrocatalysis for High-Performance Rechargeable Zinc-Air Batteries

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ACS Applied Energy Materials 2025年第11期8卷 7283-7292页

作者： Aulia, Sofiannisa Chang, Ling-Yu Su, Hsuan-Hsuan Rinawati, Mia Shi, Ping-Chen Lin, Ming-Hsien Huang, Wei-Hsiang Setyawan, Heru Hwang, Bing-Joe Yeh, Min-Hsin Department of Chemical Engineering National Taiwan University of Science and Technology Taipei 10607 Taiwan Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei 10608 Taiwan Department of Chemical and Materials Engineering Chung Cheng Institute of Technology National Defense University Taoyuan 335 Taiwan Sustainable Electrochemical Energy Development Center National Taiwan University of Science and Technology Taipei 10607 Taiwan National Synchrotron Radiation Research Center Hsinchu 30076 Taiwan Department of Chemical Engineering Faculty of Industrial Technology and System Engineering Sepuluh Nopember Institute of Technology Surabaya 60111 Indonesia

Rechargeable Zn-air batteries (RZABs) offer high energy and power densities along with superior safety and economic viability, making them ideal candidates for next-generation energy storage systems. However, their performance is heavily dependent on the development of efficient and durable bifunctional electrocatalysts for the oxygen reduction reaction (ORR) during discharging and the oxygen evolution reaction (OER) during charging, which have been major challenges for RZABs. Prussian blue analogues (PBA) have recently emerged as promising precursors for bifunctional oxygen electrocatalysts. Despite this, the precise engineering of active sites that selectively catalyze the ORR and the OER remains a challenge. In this study, we reported the successful transformation of NiFe PBA into a core-shell nanostructure, denoted as NGCA (nanographitic carbon shell/NiFe alloy core), via a facile annealing process at temperatures ranging from 500 to 900 °C. By fine-tuning the annealing temperatures, we optimized the formation of a transition metal-nitrogen-doped carbon (TM-N-C) shell, which acts as the primary ORR active site, while the NiFe alloy core selectively catalyzes the OER. This unique core-shell configuration delivered an exceptional bifunctional catalytic performance with a low OER/ORR potential gap of 0.87 V. The electrocatalyst’s efficacy was demonstrated in a liquid-state RZAB, exhibiting stable charge-discharge cycling for over 60 h without signs of overcharging. Electrochemical cycling tests and postmortem analyses revealed that the Ni-rich NiFe alloy core predominantly drives the OER. At the same time, ORR activity is retained by a synergistic interaction between Fe5C2, which coexists with pyridinic-N and metal-N as the active sites. This study highlights the potential of PBA-derived materials as self-standing precursors for the scalable and cost-effective production of bifunctional oxygen electrocatalysts. © 2025 The Authors. Published by American Chemical Soc

关键词： active site tailoring annealing treatment bifunctional electrocatalyst oxygen conversion reaction prussian blue analogue rechargeable zinc-air battery

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A Robust Camera-LiDAR Fusion Framework for 3D Object Detection in High-Dust Environments

A Robust Camera-LiDAR Fusion Framework for 3D Object Detecti...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Mingyuan Wang Wentao Liu Bin Zhou Zhangyu Wang Runsen Liu Hanyu Wang Sate Key Lab of Intelligent Transportation System The Key Laboratory of Autonomous Transportation Technology for Special Vehickes Ministry of Industry and Information Technology School of Transportation Science and Engineering Beihang University Beijing China Technology and Development Center of Hefei Metro Research Institute Co. Ltd. Hefei Metro Research Institute Co. Ltd. Hefei China

ISBN: (数字)9798331527471

ISBN: (纸本)9798331527488

The fusion of camera and LiDAR features in the Bird's Eye View (BEV) perspective has become a prevalent solution for 3D detection in autonomous driving due to its simplicity and efficiency. However, in challenging environments like mining areas with dusty roads, existing BEV -based fusion networks struggle due to dust occlusion and misidentification of dust as obstacles. To address this, we propose a robust fusion framework that integrates fine-grained depth supervision and channel-wise attention mechanisms. Combined with a temporal multi-frame mechanism, our framework effectively mitigates issues caused by dust occlusion and misidentification. We validated our method's detection accuracy on a self-constructed mining road dataset, achieving 89.6% mAP, surpassing BEVFusion's 88.3% mAP. Tests on sensor occlusion and failure further demonstrated its robustness in adverse conditions typical of unstructured road scenarios.

关键词： Three-dimensional displays Attention mechanisms Laser radar Roads Channel estimation Object detection Feature extraction Robustness Informatics Autonomous vehicles

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Deciphering decadal urban ozone trends from historical records since 1980

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National Science Review 2024年第11期11卷 117-129页

作者： Haolin Wang Xiao Lu Paul I.Palmer Lin Zhang Keding Lu Ke Li Tatsuya Nagashima Ja-Ho Koo Hiroshi Tanimoto Haichao Wang Meng Gao Cheng He Kai Wu Shaojia Fan Yuanhang Zhang School of Atmospheric Sciences Sun Yat-sen University and Key Laboratory of Tropical Atmosphere-Ocean System Ministry of Education Guangdong Provincial Observation and Research Station for Climate Environment and Air Quality Change in the Pearl River Estuary Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) School of Geo Sciences University of Edinburgh National Centre for Earth Observation University of Edinburgh Laboratory for Climate and Ocean-Atmosphere Studies Department of Atmospheric and Oceanic SciencesSchool of PhysicsPeking University State Key Joint Laboratory of Environmental Simulation and Pollution Control The State Environmental Protection Key Laboratory of Atmospheric Ozone Pollution ControlCollege of Environmental Sciences and Engineering Peking University Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Collaborative Innovation Center of Atmospheric Environment and Equipment Technology School of Environmental Science and Engineering Nanjing University of Information Science &Technology National Institute for Environmental Studies Department of Atmospheric Sciences Yonsei University Department of Geography Hong Kong Baptist University Department of Civil and Environmental Engineering University of California

Ozone pollution is a major environmental threat to human health. Timely assessment of ozone trends is crucial for informing environmental policy. Here we show that for the most recent decade（2013–2022） in the northern hemisphere, warm-season（April–September） mean daily 8-h average maximum ozone increases much faster in urban regions with top ozone levels(mainly in the North China Plain, 1.2 ± 1.3 ppbv year-1) than in other, low-ozone regions(0.2 ± 0.9 ppbv year-1). These trends widen the ozone differences across urban regions, and increase extreme pollution levels and health threats from a global perspective. Comparison of historical trends in different urban regions reveals that ozone increases in China during 2013–2022 differ in magnitude and mechanisms to historical periods in other regions since *** reflects a unique chemical environment characterized by exceptionally high nitrogen oxides and aerosol concentrations, where reducing ozone precursor emissions leads to substantial ozone *** increase in China has slowed down in 2018–2022 compared to 2013–2017, driven by ongoing emission reductions, but with ozone-favorable weather conditions. Historical ozone evolution in Japan and South Korea indicates that ozone increases should be suppressed with continuous emission *** temperature and associated wildfires have also reversed ozone decreases in the USA and Europe,with anthropogenic ozone control slowing down in recent decades.

关键词： air quality surface ozone trends

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Numerical Study of the Cooling Performance of Rupert-Shaped Film Cooling Holes

SSRN

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SSRN 2023年

作者： Wang, Jianming Wang, Wenzong Li, Guangchao Luo, Die Wu, Junqiang Liaoning Key Lab of Advanced Measurement and Test Technology for Aviation Propulsion System School of Aero-engine Shenyang Aerospace University Shenyang110136 China China Aerodynamics Research and Development Center Mianyang621000 China

This study presents a novel film-cooling hole structure inspired by "Prince Rupert’s Drops." It performs numerical simulations of a flow field with one cylindrical hole and four different Rupert-shaped film-cooling holes, analyzing the effectiveness of these five film-cooling holes on cooling flat plates. The cooling effectiveness of the Rupert-shaped film-cooling holes significantly outperform that of the cylindrical hole at three blowing ratios. The maximum increase in the area-weighted average cooling effectiveness of the Rupert-shaped holes is over 9 times greater than that of the cylindrical hole. The flow structures of the five holes were compared and analyzed, and the effectiveness of the Rupert-shaped film holes in weakening the kidney-shaped vortex generated by the coolant was confirmed. Furthermore, the Rupert-shaped holes improve the attachment of the film to the wall surface. Further analysis indicates that the shape of the Rupert-shaped holes is crucial for enhancing their cooling effectiveness. © 2023, The Authors. All rights reserved.

关键词： Film cooling

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Overall Design and Physical Validation of Voice Interaction Based on the ChatGPT Humanoid Robot Brain

Overall Design and Physical Validation of Voice Interaction ...

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Communication and Networks (ASIANComNet), Asian Conference on

作者： Zhenzhong Li Liang Yan Zhiyuan Yu Bing Li Jingwen Li Yibo He Jie Tang CATARC Automotive Test Center (Ningbo) Co. LTD Ningbo China Research and Development Laboratory Amileyuan Intelligent Technology (Beijing) Co. LTD Beijing China High-Speed Silicon-Based System-on-Chip Research Laboratory BIT Chongqing Institute of Microelectronics and Microsystems Chongqing China Yangtze Delta Region Academy of Beijing Institute of Technology Jiaxing China Test Center DONGFENG LIUZHOU MOTOR CO. LTD Liuzhou China Trial and Testing Division of the Research and Development Center East Shineray Group Co. LTD Chongqing China

ISBN: (数字)9798350367003

ISBN: (纸本)9798350367225

Aimed to the challenge of robotic voice interaction, this study leverages ChatGPT (chat generative pretrained transformer) technology to develop a humanoid robot solution with a central processing system. Employing a top-down design approach, the solution encompasses the design of voice, video, and motion streams between users and the robot, enabling voice communication and expression output. By integrating hardware devices and a central control system, the entire humanoid robot system achieves a twofold purpose. On one hand, it combines data from conversational context, user tone and emotion, and user facial expressions to appropriately exhibit expressions. On the other hand, it formulates reasonable voice responses in conjunction with extracted statement content and emotional cues. Lastly, two physical prototypes of the humanoid robot are constructed. Experimental trials are conducted to assess the voice conversation and expression output capabilities of the humanoid robot, thereby confirming the rationality and effectiveness of the proposed solution.

关键词： Hands Humanoid robots Prototypes Oral communication Streaming media Chatbots Control systems Transformers Software Streams

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High Abundance of Atmospheric Sulfonates Derived from Light-Duty Gasoline Vehicles

ACS ES&T Air

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ACS ES&T Air 2025年第4期2卷 607-614页

作者： Shuang Chen Huixia Han Lihong Ren Yisheng Xu Libin Wu Yuanguan Gao Yuanbi Yi Xinping Yang Mingliang Fu Hang Yin Yan Ding Pingqing Fu State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental Sciences Beijing 100012 China；School of Earth System Science Tianjin University Tianjin 300072 China School of Earth System Science Tianjin University Tianjin 300072 China State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental Sciences Beijing 100012 China Department of Ocean Science and Center for Ocean Research in Hong Kong and Macau The Hong Kong University of Science and Technology Hong Kong SAR China State Environmental Protection Key Laboratory of Vehicle Emission Control and Simulation Chinese Research Academy of Environmental Sciences Beijing 100012 China

Particulate matter (PM) emissions from light-duty gasoline vehicles (LDGV) pose a threat to both air quality and human health. However, the molecular compositions and chemical properties of these complex mixtures are poorly understood. In this study, we performed a detailed characterization of exhaust PM from LDGV at various speed phases at the molecular level by employing ultra-high-resolution Fourier transform ion cyclotron resonance mass spectrometry. We found that with increasing speed, the number of organic compounds increased significantly, especially organic nitrogen-containing and sulfur-containing compounds. Moreover, the increase of speed leads to high temperature and high pressure in the cylinder, which in turn leads to a series of thermal cracking–polymerization–cyclization reactions, resulting in new particulate matter with more aromatic structures. In addition, considerable intermediate volatility organic compounds and semivolatile organic compounds were identified in the exhaust PM. Notably, we observed the presence of sulfonates in tailpipe particulate matter during low- or high-speed phases, which highlights a previously negligible source of organic sulfonates in the atmosphere.

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Adjustable Load Resource Pool Operation Analysis and Capacity Verification Software development Service Project

Adjustable Load Resource Pool Operation Analysis and Capacit...

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Networking, Informatics and Computing (ICNETIC), International Conference on

作者： Guoji Wang Shubo Liu Chenbo Xu Lei Tang Integrated Energy Service Center Jiangsu Fangtian Electric Power Technology Co. LTD Nanjing China Electric Technology Branch Guodian Nanrui Nanjing Control System Co. LTD Nanjing China Research and Development Center Jiangsu Xinzhihe Electric Power Technology Co. LTD Nanjing China

"carbon peak, carbon neutral", under the strategic goal of the adjustable load can provide flexible adjustable for power system resources. China has put forward the strategic goal of peaking carbon dioxide emissions before 2030 and achieving carbon neutrality by 2060. To achieve this goal, the country needs to significantly increase the scale of electricity generated from renewable sources. However, the output of large-scale renewable energy generation has significant volatility and uncertainty, which poses a serious challenge to the safe and stable operation of the power system. There are many kinds of adjustable loads, which have adjustable potential in multiple time scales, and can provide various auxiliary services such as peak regulation, standby and frequency modulation for power system. In summary, the hierarchical and partitioned adjustable load aggregation and active interactive control technology under the multi-transaction mechanism is an important scheme to realize the all-round awareness and precise two-way interaction of the adjustable resources on the connected customer side. Effective through lateral load resources caused by a lack of variety, scattered distribution, measuring demand response resource can't scale, high efficiency, as a result of calls the technical bottleneck, helps to boost power grid control flexibility and large-scale renewable energy access ability to cope with the situation, for energy in the Internet has guiding significance for the planning and implementation of customer side.

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Closed-loop simulation Method of Stability Control system Based on Virtual Component technology 6

Closed-loop Simulation Method of Stability Control System Ba...

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6th IEEE Conference on Energy Internet and Energy system Integration, EI2 2022

作者： Ma, Qinfeng Zhu, Yihua Liu, Mingshun Chang, Dongxu Pu, Qingxin Li, Chengxiang Power Dispatching Control Center of Guizhou Power Grid Co. Ltd Guizhou China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute China Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou China China Southern Power Grid CSG Key Laboratory for Power System Simulation Electric Power Research Institute Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China

ISBN: (纸本)9798350347159

The stability control system is an important means to ensure the safe and stable operation of the power system. In view of the shortcomings of the existing offline/real-time simulation test methods, a closed-loop simulation scheme based on virtual component technology is proposed. The virtual component technology of the stability control device is researched, and the virtualization method of the external hardware interface of the device is designed. On this basis, a closed-loop simulation framework of the stability control system under the offline/real-time simulation test environment is proposed. The functional logic of each component under the framework are analyzed. The calculation and feedback process of the entire closed-loop simulation system are analyzed in depth, which effectively solves the difficulty of simulation analysis and test verification of large-scale stability control system, providing a new method for the research and verification of stability control system strategy. © 2022 IEEE.

关键词： Control system stability

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