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Pronounced advance on typhoon track forecast with global convection-permitting model

science Bulletin 2025年第9期70卷 1424-1428页

作者： Gu, Jun Zhao, Chun Li, Gudongze Feng, Jiawang Xu, Mingyue Du, Qiuyan Xia, Zihan Li, Yubin Chen, Guanghua Hao, Xiaoyu Chen, Junshi An, Hong Deep Space Exploration Laboratory/School of Earth and Space Sciences/CMA-USTC Laboratory of Fengyun Remote Sensing/State Key Laboratory of Fire Science/Institute of Advanced Interdisciplinary Research on High-Performance Computing Systems and Software University of Science and Technology of China Hefei230026 China Laoshan Laboratory Qingdao266237 China CAS Center for Excellence in Comparative Planetology University of Science and Technology of China Hefei230026 China School of Atmospheric Physics Nanjing University of Information Science and Technology Nanjing210044 China Key Laboratory of Cloud-Precipitation Physics and Severe Storms Institute of Atmospheric Physics Chinese Academy of Sciences Beijing100029 China School of Computer Science and Technology University of Science and Technology of China Hefei230026 China

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A Secure Parameter Self-Tuning Control Scheme for Vehicle Platoons under DoS Attacks 13

A Secure Parameter Self-Tuning Control Scheme for Vehicle Pl...

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13th IEEE International Conference on CYBER technology in Automation, Control, and Intelligent systems, CYBER 2023

作者： Han, Qiaoni Cheng, Guowen Tang, Zhenning Liu, Chang School of Electrical and Information Engineering Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System Tianjin University Tianjin300072 China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai200240 China Center for Biomedical Engineering School of Information Science and Technology Fudan University Shanghai200433 China

ISBN: (纸本)9798350315196

In order to mitigate the adverse impact of denial of service (DoS) attacks, this work designs a parameter self-tuning controller based on fuzzy rules for vehicle platoons with vehicle-to-vehicle (V2V) communications. Aiming at achieving the cooperative adaptive cruise control (CACC) of the vehicles with a required inter-vehicle distance and the same velocity, while considering the possible DoS attacks, we propose a parameter self-tuning longitudinal controller combining linear control and fuzzy control to enhance the stability and resilience of the platoon systems. Firstly, by analyzing the dynamic characteristics of vehicles and the mechanism of DoS attacks, we establish the dynamic model of vehicle platoons and model the impact of random DoS attacks as a constant data transmission delay, whose probability distribution can be defined using the Bernoulli random variable. Then, a linear controller based on fuzzy control is designed for longitudinal control to guarantee that the platoon keeps a reference velocity and the specified inter-vehicle distance under DoS attacks. Finally, thorough simulations are performed and the detailed results show the performance of the secure longitudinal control scheme for vehicle platoons in terms of stability and security. © 2023 IEEE.

关键词： Fuzzy control

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Evaluation of CLDAS and GPM Precipitation Products over the Tibetan Plateau in Summer 2005–2021 Based on Hourly Rain Gauge Observations

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Journal of Meteorological Research 2024年第4期38卷 749-767页

作者： Qiaohua LIU Xiuping YAO School of Atmospheric Sciences Nanjing University of Information Science&TechnologyNanjing 210044 State Key Laboratory of Severe Weather Chinese Academy of Meteorological SciencesChina Meteorological AdministrationBeijing 100081 China Meteorological Administration Training Centre Beijing 100081

Accurate,reliable,and high spatiotemporal resolution precipitation products are essential for precipitation research,hydrological simulation,disaster warning,and many other applications over the Tibetan Plateau(TP).The Global Precipitation Measurement(GPM) data are widely recognized as the most reliable satellite precipitation product for the *** China Meteorological Administration(CMA) Land Data Assimilation system(CLDAS) precipitation fusion dataset(CLDAS-Prcp),hereafter referred to as CLDAS,is a high-resolution,self-developed precipitation product in China with regional *** on the TP,this study provides a long-term evaluation of CLDAS and GPM from various aspects,including characteristics on different timescales,diurnal variation,and elevation impacts,based on hourly rain gauge data in summer from 2005 to *** results show that CLDAS and GPM are highly effective alternatives to the rain gauge records over the *** both perform well for precipitation amount and frequency on multiple *** tends to overestimate precipitation amount and underestimate precipitation frequency over the ***,GPM tends to overestimate both precipitation amount and *** difference between them mainly lies in the trace *** and GPM effectively capture rainfall events,but their performance decreases significantly as intensity *** both show better accuracy in diurnal variation of precipitation amount than frequency,and their performance tends to be superior during nighttime compared to the ***,there are some differences of the two against rain gauge observations in diurnal variation,especially in the phase of the diurnal *** performance of CLDAS and GPM varies at different *** both have the best performance over 3000–3500 *** elevation dependence of CLDAS is relatively minor,while GPM shows a stronger elevation dependence in terms of precipitation *** tends to ov

关键词： China Meteorological Administration(CMA)Land Data Assimilation system(CLDAS)precipitation fusion dataset(CLDAS-Prcp) Global Precipitation Measurement(GPM) Tibetan Plateau(TP) precipitation evaluation

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High-performance eight-channel system with fractal superconducting nanowire single-photon detectors

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Chip 2024年第2期3卷 45-52页

作者： Zifan Hao Kai Zou Yun Meng Jun-Yong Yan Fangyuan Li Yongheng Huo Chao-Yuan Jin Feng Liu Thomas Descamps Adrian Iovan Val Zwiller Xiaolong Hu School of Precision Instrument and Optoelectronic Engineering Tianjin UniversityTianjin 300072China Key Laboratory of Optoelectronic Information Science and Technology Ministry of EducationTianjin 300072China State Key Laboratory of Modern Optical Instrumentation College of Information Science and Electronic EngineeringZhejiang UniversityHangzhou 300072China Hefei National Research Center for Physical Sciences at the Microscale and School of Physical Sciences University of Science and Technology of ChinaHefei 230026China Department of Applied Physics Royal Institute of Technology(KTH)SE-10691 StockholmSweden

Superconducting nanowire single-photon detectors(SNSPDs)have become a mainstream photon-counting technology that has been widely applied in various *** far,most multi-channel SNSPD systems,either reported in literature or commercially available,are polarization sensitive,that is,the system detection efficiency(SDE)of each channel is dependent on the state of polarization of the to-be-detected ***,we reported an eight-channel system with fractal SNSPDs working in the wavelength range of 930 to 940 nm,which are all featured with low polarization *** a close-cycled Gifford-McMahon cryocooler system with the base temperature of 2.2 K,we installed and compared the performance of two types of devices:(1)SNSPD,composed of a single,continuous nanowire and(2)superconducting nanowire avalanche photodetector(SNAP),composed of 16 cascaded units of two nanowires electrically connected in *** highest SDE among the eight channels reaches 96+^(4)_(-5%),with the polarization sensitivity of 1.02 and a dark-count rate of 13 counts per *** average SDE for eight channels for all states of polarization is estimated to be 90±5%.It is concluded that both the SNSPDs and the SNAPs can reach saturated,high SDE at the wavelength of interest,and the SNSPDs show lower dark-count(false-count)rates,whereas the SNAPs show better properties in the time *** the adoption of this system,we showcased the measurements of the second-order photon-correlation functions of light emission from a singlephoton source based on a semiconductor quantum dot and from a pulsed *** is believed that this work will provide new choices of systems with single-photon detectors combining the merits of high SDE,low polarization sensitivity,and low noise that can be tailored for different applications.

关键词： Superconducting nanowire single-photon detector Superconducting strip photon detector Fractal Quantum optics Photon correlation

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Coordination control method to block cascading failure of a renewable generation power system under line dynamic security

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Protection and Control of Modern Power systems 2023年第1期8卷 194-204页

作者： Jinxin Ouyang Jianfeng Yu Xiaoxuan Long Yanbo Diao Jian Wang State Key Laboratory of Power Transmission Equipment and System Security and New Technology School of Electrical EngineeringChongqing UniversityChongqingChina Information and Communication Branch of State Grid Chongqing Electric Power CompanyChongqingChina Chongqing City Management College ChongqingChina

The large application of renewable energy generation(REG)has increased the risk of cascading failures in the power *** the same time REG also provides the possibility of new approaches for the suppression of such ***,the capacity and position of the synchronous generator(SG)involved in regulation limit the power regu-lation speed(PRS)of REG to the overload line which is the main cause of cascading failures,while the PRS of SG is related to the position and shedding *** and SGs have difficulty in achieving effective cooperation under constraints of system power ***,the dynamic variation of line flow during power regulation causes new problems for the accurate evaluation of line thermal safety under ***,a new strategy for quan-titatively coordinating shedding power and power regulation to block cascading failures in the dynamic security domain is proposed in this *** control capability and dynamic security domain of the overload line are mod-eled,and the coordination control method based on power regulation is then proposed to minimize shedding *** algorithm for the optimal control scheme considers the constraints of load capacity,power source capacity and bus *** correctness of the proposed method is verified using case studies.

关键词： Cascading failures Overload Shedding power Power regulation Thermal stability

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RG_VIPS: A Simple Cache Coherence Protocol Based on Region-Grain Directories 16

RG_VIPS: A Simple Cache Coherence Protocol Based on Region-G...

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16th IEEE International Conference on Solid-state and Integrated Circuit technology, ICSICT 2022

作者： Liu, Yan-Wei Qiu, Yu-Di Tang, Yu-Xin Jiao, Jie Zhang, Peng Fan, Yi-Bo Fudan University State Key Laboratory of Asic and System Department of Microelectronics Shanghai China Peking University Advanced Institute of Information Technology China

ISBN: (数字)9781665469067

ISBN: (纸本)9781665469067

As the number of cores in large-scale chip multiprocessors (CMPs) grows, the complexity and overhead of directory-based cache coherence protocols become increasingly important. To reduce the cost of coherence protocol, previous studies classified data into private and shared, and used different coherence protocols for them. On the one hand, private data can be taken out of coherence. On the other hand, because of the spatial locality of private data, a coarse-grained directory can be used to reduce the directory storage. This paper proposes RG_VIPS, a simple coherence protocol based on region granularity directory. We use a write-through protocol for private data and a write-back protocol for shared data. Compared to previous work VIPS, RG_VIPS eliminates OS dependencies and also implements a simple cache coherence protocol (only two stable protocol states, Valid and Invalid) with finer granularity. Simulation of a 16-core CMP with PARSEC shows that the RG_VIPS protocol has little impact on the performance while simplifying the protocol. © 2022 IEEE.

关键词： Cache memory

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A K-Band Voltage-Controlled Oscillator with Gate-Drain Phase Shift Achieving 110 kHz 1/f3 Corner

A K-Band Voltage-Controlled Oscillator with Gate-Drain Phase...

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IEEE Symposium on Radio Frequency Integrated Circuits (RFIC)

作者： Zhenhua Jia Dawei Ye State Key Laboratory of ASIC and System Fudan University China School of Integrated Circuits Huazhong University of Science and Technology China

ISBN: (数字)9798350359473

ISBN: (纸本)9798350359480

This work presents a K-band low flicker phase noise (1/f 3 ) corner voltage-controlled oscillator (VCO) utilizing gate-drain phase shift. It incorporates two auxiliary LC tanks to shift the relative phase of the fundamental harmonic between the gate-drain and attenuate the second harmonic components at the output waveform. This design effectively suppresses phase noise caused by flicker noise upconversion without compromising the desired 1/f 2 phase noise (PN) performance. By utilizing gate-drain phase shift to symmetrize the effective impulse sensitivity function (ISF), the proposed VCO achieves a 1/f 3 PN corner of 110kHz while consuming only 4.18mW at 19.64GHz. The design is implemented in a 65nm technology process with an active area of 0.1mm 2 . The measured phase noise at a 1MHz offset frequency is -113.21dBc/Hz, yielding a peak Figure-of-Merit (FoM) of 186.84dBc/Hz at 19.64GHz.

关键词： Phase noise Sensitivity Voltage fluctuations Voltage-controlled oscillators K-band Logic gates Harmonic analysis

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DD-Net: Dynamic Network Architecture for Optimized Curve Segmentation and Reduce Computational Redundancy 27th

DD-Net: Dynamic Network Architecture for Optimized Curve Seg...

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27th International Conference on Pattern Recognition, ICPR 2024

作者： Cao, Yunxiang Chen, Li Wang, Yubo Feng, Zhida Tian, Jing School of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Wuhan China Institute of Systems Science National University of Singapore Singapore Singapore

ISBN: (纸本)9783031783821

Curvilinear Structure segmentation has numerous applications in various fields, including providing a better understanding of defects such as cracks on roads or walls, thereby assessing the structural safety of buildings. Numerous curve segmentation methods based on Convolutional Neural Networks(CNN) have been developed in recent years. However, preserving feature integrity remains a challenge. To address this issue, this paper introduces a double dynamic network, called DD-Net, which consists of a dynamic structure for training and dynamic masking for inference. Firstly, to enhance the nonlinearity of the model, a paradigm to auto-adjust the CNN structure via a trainable module is formed for better fine-grained feature extraction. This dynamic structure (DS) paradigm enables a trade-off to extract or discard the feature data in the model training. Due to the data heterogeneity between the training and inference data, models may contain some useless nodes that are less effective during inference. The dynamic masking (DM) is proposed to omit the useless nodes based on the score difference between the train and inference feature statistics, thereby reducing redundant computations. To further improve the model’s performance on thin-curve segmentation and to preserve feature integrity, we introduce a non-curve suppression (NCS) module. This module focuses on background information while considering foreground prediction to address noisy conditions. The experimental results show that our DD-Net achieves promising results on three benchmark datasets and outperforms state-of-the-art curve segmentation models. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Convolutional neural networks

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Underwater gas self-transportation along femtosecond laser-written open superhydrophobic surface microchannels(<100μm)for bubble/gas manipulation

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International Journal of Extreme Manufacturing 2022年第1期4卷 35-49页

作者： Jiale Yong Qing Yang Jinglan Huo Xun Hou Feng Chen State Key Laboratory for Manufacturing System Engineering and Shaanxi Key Laboratory of Photonics Technology for Information School of Electronic Science and EngineeringXi’an Jiaotong UniversityXi’an 710049People’s Republic of China School of Mechanical Engineering Xi’an Jiaotong UniversityXi’an 710049People’s Republic of China

Underwater transportation of bubbles and gases has essential applications in manipulating and using gas,but achieving this function at the microscopic level remains a significant ***,we report a strategy to self-transport gas in water along a laser-induced open superhydrophobic microchannel with a width less than 100μ*** femtosecond laser can directly write superhydrophobic and underwater superaerophilic microgrooves on the polytetrafluoroethylene(PTFE)*** water,the single laser-induced microgroove and water medium generate a hollow *** the microchannel connects two superhydrophobic regions in water,the gas spontaneously travels from the small region to the large area along this hollow *** self-transportation can be extended to laser-drilled microholes through a thin PTFE sheet,which can even achieve anti-buoyancy unidirectional *** gas can overcome the bubble’s buoyance and spontaneously travel *** Laplace pressure difference drives the processes of spontaneous gas transportation and unidirectional bubble *** believe the property of gas self-transportation in the femtosecond laser-structured open superhydrophobic and underwater superaerophilic microgrooves/microholes has significant potential applications related to manipulating underwater gas.

关键词： femtosecond laser gas transportation superhydrophobicity underwater superaerophilicity water/gas separation

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Energy-Efficient Task Offloading in UAV-Enabled MEC via Multi-agent Reinforcement Learning 18th

Energy-Efficient Task Offloading in UAV-Enabled MEC via Mu...

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18th International Conference on Green, Pervasive, and Cloud Computing, GPC 2023

作者： Gao, Jiakun Zhang, Jie Xu, Xiaolong Qi, Lianyong Yuan, Yuan Li, Zheng Dou, Wanchun School of Software Nanjing University of Information Science and Technology Nanjing210044 China State Key Laboratory for Novel Software Technology Nanjing University Nanjing210023 China QingDao266580 China School of Computer Science and Engineering Beihang University Beijing100191 China State Key Laboratory of Software Development Environment Zhongguancun Laboratory Beihang University Beijing100191 China School of Computer Science Nanjing University of Information Science and Technology Nanjing210044 China

ISBN: (纸本)9789819998951

Nowadays, artificial intelligence-based tasks are imposing increasing demands on computation resources and energy consumption. Unmanned aerial vehicles (UAVs) are widely utilized in mobile edge computing (MEC) due to maneuverability and integration of MEC servers, providing computation assistance to ground terminals (GTs). The task offloading process from GTs to UAVs in UAV-enabled MEC faces challenges such as workload imbalance among UAVs due to uneven GT distribution and conflicts arising from the increasing number of GTs and limited communication resources. Additionally, the dynamic nature of communication networks and workload needs to be considered. To address these challenges, this paper proposes a Multi-Agent Deep Deterministic Policy Gradient based distributed offloading method, named DMARL, treating each GT as an independent decision-maker responsible for determining task offloading strategies and transmission power. Furthermore, a UAV-enabled MEC with Non-Orthogonal Multiple Access architecture is introduced, incorporating task computation and transmission queue models. In addition, a differential reward function that considers both system-level rewards and individual rewards for each GT is designed. Simulation experiments conducted in three different scenarios demonstrate that the proposed method exhibits superior performance in balancing latency and energy consumption. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Reinforcement learning

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