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Information Extraction of Air-Traffic Control Instructions via Pre-trained Models 1

3rd International Conference on Artificial Intelligence, 2022

作者： Wang, Xuan Ding, Hui Xu, Qiucheng Liu, Zeyuan State Key Laboratory of Air Traffic Management System and Technology The 28th Research Institute of China Electronics Technology Group Corporation Nanjing210007 China

ISBN: (数字)9789811694233

ISBN: (纸本)9789811694226

The air traffic controllers always use air-traffic control instructions (ATC instructions) to command aircrafts. The ATC instruction consists of some situation mentions such as flight number, status, and target location etc. The deep-learning based approach can extract such information for situation awareness. In practice, it is difficult to prepare huge amount of labelled ATC instructions for training the deep-learning model due to expensive costs of handcraft annotations. The large scale pre-trained model (PTMs) can solve this problem by "pre-training" and "fine-tuning". This paper proposes: 1) pre-trained models to extract information from few scale ATC instructions;2) the probing task to find which layer of model achieves the best performance of information extraction task. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Air traffic control

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Femtosecond Laser Triggered Breakdown Discharge Patterns in Long Air Gap 17

Femtosecond Laser Triggered Breakdown Discharge Patterns in ...

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17th International Symposium on Lightning Protection, SIPDA 2023

作者： Pei, Zhehao Chen, Weijiang Huang, Shengxin Zhang, Qiaogen Li, Dianhang Du, Bin Xi' an Jiaotong University State Key Laboratory of Electrical Insulation and Power Equipment Xi'an China State Grid Corporation of China Beijing China Hefei University of Technology School of Electrical Engineering and Automation Hefei China North China Electric Power University State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources Beijing China

ISBN: (纸本)9798350357790

Lightning control has long been a dream for scientists. Femtosecond laser-triggered discharge in long air gap is the main research measure for providing perspectives on fundamental lightning understanding and technical routes. A record of laser-triggered negative discharge images in a long air gap on full track is presented in this letter in the study of laser-triggered discharges in a 2 m rod-rod gap under negative switching impulse. Laser-triggered breakdown in a long air gap was shown to have two patterns distinguished from the elongation length of a guided negative leader. For the pattern based on leader reillumination, plasma lifetime was shown to be more than tens of microseconds in guiding a negative leader after a dark period. The laser filament fixed the position of discharge initiation, determined leader propagation direction, and increased breakdown probability. This pattern can provide downward-leader prediction for an expected space position for more than tens of microseconds, which creates more advantages in triggering lightning strokes. © 2023 IEEE.

关键词： Femtosecond lasers

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Lithospheric structure and geodynamics of oceanic transform fault

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Science China Earth Sciences 2025年

作者： Fan ZHANG Jian LIN Sanzhong LI Yanhui SUO Pengcheng ZHOU Yiming LUO Caicai ZHA Xubo ZHANG State Key Laboratory of Tropical Oceanography South China Sea Institute of Oceanology Chinese Academy of Sciences Key Laboratory of Ocean and Marginal Sea Geology South China Sea Institute of Oceanology Chinese Academy of Sciences Department of Ocean Science and Engineering Southern University of Science and Technology Advanced Institute for Ocean Research Southern University of Science and Technology Frontiers Science Center for Deep Ocean Multispheres and Earth System Key Lab of Submarine Geosciences and Prospecting TechniquesMOE and College of Marine Geosciences Ocean University of China Laboratory for Marine Mineral Resources Laoshan Laboratory

The oceanic transform fault (OTF) is one of the three types of plate boundaries. It provides an important channel for the exchange of material and energy within the Earth’s interior, which is significant for understanding global plate tectonics. In recent years, substantial progress has been made in the study of OTFs, including their morphology, crustal accretion mode, stress and strain state, brittle-ductile deformation structures, and segmentation and symmetry of seismicity. The combined effects of magmatism and tectonism shape the morphology and structure of OTF:the spreading rate and the age offsets reflect the thermal structure of the OTF, and thus affect the intensity of magmatism; meanwhile, the stress within the lithosphere and plate motion control the tectonic features and formation of faults. Three-dimensional dynamic models have demonstrated that increased magmatism at mid-ocean ridges destabilizes the fault, thereby facilitating the dynamic evolution of the OTF. Moreover, the maximum depth of earthquakes on OTF is controlled by the thermal structure of the lithosphere, which is crucial for characterizing the frictional properties of faults and understanding their seismic behaviors. Based on recent comprehensive research findings, this paper reviews the tectonic features, three-dimensional morphological structure, and lithospheric thermal structure of OTF, and discusses important scientific issues, including the magmatic-tectonic co-evolution and geodynamic mechanisms of OTF. Future research will combine high-resolution observations and theoretical simulations to further elucidate the processes and mechanisms of OTF, providing important advances to global plate tectonic theory.

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Visual-LiDAR Fusion Relocation for SLAM systems

Visual-LiDAR Fusion Relocation for SLAM Systems

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2023 International Conference on Frontiers of robotics and Software Engineering, FRSE 2023

作者： Liu, Zexi Liu, Yanqing Wang, Xin Zhu, Dongchen Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Bionic Vision System Laboratory State Key Laboratory of Transducer Technology Shanghai200050 China University of Chinese Academy of Sciences Beijing100049 China Wuxi Institute of Inspection Testing and Certification Wuxi214000 China

ISBN: (纸本)9798350301113

Relocation is a fundamental part of the mobile robot positioning system, and the robot can obtain the initial position through relocation. However, commonly used visual relocation schemes are susceptible to lighting, weather, and seasonal changes. Therefore, this paper proposes a relocation method for vision and LiDAR sensor fusion. By making full use of different sensors, this method can also achieve good relocation performance in scenarios where the individual sensor is degraded. Our algorithm consists of three parts, namely visual relocation, LiDAR relocation and point cloud registration verification. The Bag-of-Words method is used for visual relocation, the Scan Context method is used for LiDAR relocation, and the ICP or NDT method is used for point cloud registration verification. It is worth noting that each part of our algorithm is an independent module, so it can be easily replaced by other methods, which greatly improves the flexibility of the algorithm. We tested our algorithm on KITTI, M2DGR, and NCLT datasets, and the experimental results show that visual-LiDAR fusion relocation has greatly improved performance compared to visual relocation. When environmental factors such as light, weather, and seasons change, visual-LiDAR fusion relocation can still operate robustly, which is the key to long-term robot positioning. © 2023 IEEE.

关键词： Optical radar

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Ecological risks linked with ecosystem services in the upper reach of the Yellow River under global changes

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Journal of Integrative Agriculture 2025年第3期24卷 966-983页

作者： Ruowei Li Jian Sun Guodong Han Zixuan Qi Yunhui Li Junhe Chen Wen He Mengqi Zhang Chaowei Han Jieji Duo State Key Laboratory of Tibetan Plateau Earth System Science(LATPES) Institute of Tibetan Plateau ResearchChinese Academy of SciencesBeijing 100101China Key Laboratory of Grassland Resources of the Ministry of Education College of GrasslandResources and EnvironmentInner Mongolia Agricultural UniversityHohhot 010019China Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds School of EcologyEnvironment and ResourcesGuangdong University of TechnologyGuangzhou 510006China Institute for Disaster Management and Reconstruction Sichuan University–The Hong Kong Polytechnic UniversityChengdu 610207China Institute of Grassland Research Chinese Academy of Agricultural SciencesHohhot 010010China Haixi Forest Pest Control and Quarantine Center Delingha 817099China

There is growing interest in introducing ecological risks(ERs)and ecosystem services(ESs)into environmental policies and ***,the integration of ESs and ERs into actual decision-making remains *** simulated the spatiotemporal dynamics of ESs(e.g.,carbon storage,water yield,habitat quality,and soil conservation)and ERs in the upper reach of the Yellow River(URYR)from 2000 to ***,we explored their relationships by combining the InVEST model and a landscape ecological risk model with CMIP6 *** main findings showed that regional ERs change in response to land use and environmental ***,the ER area decreased by 27,673 m^(2) during 2000-2020,but it is projected to increase by 13,273,438,and 68 m^(2)under the SSP1-2.6,SSP2-4.5,and SSP5-8.5 scenarios,*** also observed remarkable spatial differences in ESs and ERs between past and future *** instance,the source area of the URYR exhibited high ESs and low ERs(P<0.001),while the ESs and ERs are declining and increasing,respectively,in the northeastern URYR(P<0.05).Finally,we proposed a spatial optimization framework to improve ESs and reduce ERs,which will support regional sustainable development.

关键词： climate change CMIP6 Yellow River basin Tibetan Plateau adaptive management sustainable development

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Short Circuit Fault Characteristics of Low Frequency AC Transmission system Based on Modular Multilevel Matrix Converter

Short Circuit Fault Characteristics of Low Frequency AC Tran...

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2023 International Conference on Power Energy systems and Applications, ICoPESA 2023

作者： Zhao, Zexin Han, Bin Zhao, Guoliang Xu, Yunfei Lu, Zhengang Xiang, Nianwen Wang, Shulai China Electric Power Research Institute Power System Department Beijing China State Grid Smart Grid Research Institute State Key Laboratory of Advanced Power Transmission Technology Beijing China Hefei University of Technology School of Electrical Engineering and Automation Hefei China

ISBN: (纸本)9798350345605

Compared with power frequency AC transmission and DC transmission, low frequency AC transmission has its unique advantages, which is suitable for long distance transmission, large scale renewable generation and regulation of regional power grid. The fault characteristics affect the system design and operation, which is necessary to study. From the perspective of system topology and converter control, the characteristics of three-phase short circuit fault are analyzed and a simulation model is built on PSCAD for verification in this paper. After a fault occurs, it can be divided into two stages before and after the control responses. Before the control responses, the overvoltage is generated between the terminals of branch reactors and modular capacitors discharges. After the control responses, system characteristics are related to fault location and control strategy. The control and modulation of the converter can make the low frequency and power frequency systems interact with each other. This study can provide a reference for the parameters of equipment and converter control, as well as fault protection in low frequency systems. © 2023 IEEE.

关键词： Timing circuits

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Advances in human organs-on-chips and applications for drug screening and personalized medicine

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Fundamental Research 2025年第3期5卷 1258-1272页

作者： Zhou, Chenyang Li, Zhangjie Lu, Kangyi Liu, Yijun Xuan, Lian Mao, Hongju Wang, Xiaolin Department of Micro/Nano Electronics School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai 200240 China Institute of Medical Robotics Shanghai Jiao Tong University Shanghai 200240 China State Key Laboratory of Transducer Technology Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai 200050 China National Key Laboratory of Advanced Micro and Nano Manufacture Technology Shanghai Jiao Tong University Shanghai 200240 China National Center for Translational Medicine (Shanghai) SHU Branch Shanghai University Shanghai 200444 China

The limitations of conventional animal tests and two-dimensional cell culture hinder their advancement in fundamental research and clinical/translational applications. As an emerging alternative technology, organ-on-a-chip serves as a platform that faithfully simulates the key phenotypical, physiological, and functional features of human tissues/organs through the accurate regulation of the parameters such as physical and biochemical microenvironment, as well as cellular patterns. In this review, we mainly introduce the recent progress in the organ-on-a-chip field, including lung, gut, heart, liver, vasculature and multiorgan studies. Furthermore, we highlight the potential applications in drug screening and personalized medicine. Finally, we conclude the review by addressing the current challenges and future perspective in the technology and commercialization of organ-on-chips. We anticipate that the development of organ-on-a-chip technology will revolutionize the studies on biology and medicine by providing new understanding of mechanisms of diseases and insights into clinical therapeutics. © 2024

关键词： Drug screening Microfluidics Organ-on-a-chip Organoid Personalized medicine

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Non-permanent Pole-to-pole Fault Restoration Strategy for Flexible DC Distribution Network

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Journal of Modern Power systems and Clean Energy 2021年第6期9卷 1339-1351页

作者： Zainan Li Jiandong Duan Wenchao Lu Xiaotong Du Wei Yang Siyu Tu School of Electrical Engineering Xi’an University of Technology State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University) State Grid Hubei Maintenance Company

As the structures of multiple branch lines(MBLs)will be widely applied in the future flexible DC distribution network,there is a urgent need for improving system reliability by tackling the frequent non-permanent pole-to-pole(P-P)fault on distribution lines.A novel fault restoration strategy based on local information is proposed to solve this *** strategy firstly splits a double-ended power supply network into two single-ended power supply networks through the timing difference characteristics of a hybrid direct current circuit breaker(HDCCB)entering the ***,a method based on the characteristic of the transient energy of fault current is proposed to screen the faulty branch line in each single-ended power supply ***,a four-terminal flexible DC distribution network with MBLs is constructed on PSCAD to demonstrate the efficacy of the proposed *** factors such as noise,fault location,and DC arc equivalent resistance are considered in the simulation model for *** results prove that the proposed strategy for fault restoration is effective,and features high performance and scalability.

关键词： Flexible DC distribution network pole-to-pole fault fault restoration strategy reclosing strategy transient energy of fault current

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Nonlinear E-field Simulation of HVDC Converter Transformer Busing and Its Structure Optimization With RBF Neural Network and NSGA-II Algorithm 13

Nonlinear E-field Simulation of HVDC Converter Transformer B...

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13th International Conference on Power and Energy systems, ICPES 2023

作者： He, Yongsheng Zhang, Shiling Lu, Zongxiang Wang, Pengbo State Grid Chongqing Electric Power Company Chongqing Electric Power Research Institute Chongqing China State Key Lab of Control and Simulation of Power Systems and Generation Equipment Haidian China Transmission Equipment and System Security and New Technology Dept Name of State Key Laboratory of Power Chongqing China

ISBN: (纸本)9798350345063

Static DC and PR are typical operation conditions of HVDC converter transformer bushing outlet device, moreover, the electrical parameters of RIP, transformer oil and OIP have the nonlinear relationship with E-field stress and temperature. Under the temperature gradient, the electrical parameters will modify the static DC and PR E-field distribution of the composite insulation. In order to simulate static DC and PR electric field of the composite insulation structure, this paper established the full model of the converter transformer outlet. Then, the structure parameters of converter transformer outlet have been optimized using combined RBF neural network and NSGA-II algorithm. Moreover, electric field verification calculation has been carried out under AC and PR conditions. The results show that under uniform temperature condition, E-field strength is larger than that under iso-thermal condition. The overshoot coefficient of the bushing end and barrier reach 65% and 45%, respectively. The study can provide reference for the design of outlet structure of the converter transformer. © 2023 IEEE.

关键词： DC transformers

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Multi-agent Deep Reinforcement Learning Based Multi-objective Charging Control for Electric Vehicle Charging Station 7th

Multi-agent Deep Reinforcement Learning Based Multi-objectiv...

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7th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2023

作者： Gong, Jiabao Fu, Weiming Kang, Yu Qin, Jiahu Xiao, Feng Department of Automation University of Science and Technology of China Hefei230027 China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control and Computer Engineering North China Electric Power University Beijing102206 China

ISBN: (纸本)9789819733279

This paper proposes a multi-agent deep reinforcement learning (MADRL) based algorithm for charging control of multiple electric vehicles (EVs) in an electric vehicle charging station (EVCS) with dynamic operations. By taking the uncertainties of EV users’ behaviors and charging prices into consideration, a Markov game with multiple objectives is first established, where the individual objective of reducing EV charging costs and the collective objective of mitigating charging load fluctuations are both studied. Then, a multi-agent actor-double-critic (MAADC) algorithm with a unified advantage actor-critic framework is proposed, where two advantage functions are designed as the local and global critics, and the integrated actor is employed to balance the learning towards the individual and collective objectives. The simulation results obtained in a delicately built EVCS environment show the effectiveness of MAADC. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Reinforcement learning

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