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24th International Vacuum Electronics Conference, IVEC 2023

作者： Yang, Zaichao Xu, Li Yin, Junhui Wang, Hao Li, Xing Li, Bin School of Electronic Science and Engineering University of Electronic Science and Technology of China Chengdu611731 China Shenzhen Institute for Advanced Study UESTC Shenzhen518000 China

ISBN: (纸本)9781665473217

As an important part of microwave tube, the reliability and stability of electron gun has always attracted more and more attentions of researchers. Because the working environment of microwave tube is very harsh, such as vibration, collision and impact. Therefore, numerical simulation technique is a necessary for researchers to optimize structures to avoid deformation and fatigue fracture in severe working conditions. In this paper, we developed the Mechanics Simulator module (MCS) of microwave tube mechanics simulation software by using finite element method. To validate MCS, numerical results for a simplified electron gun are shown compared with ANSYS. © 2023 IEEE.

关键词： Finite element method

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Multi-mode Simulation for An Output Window of Gyrotron Based on Transfinite Element Method 24

Multi-mode Simulation for An Output Window of Gyrotron Based...

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24th International Vacuum Electronics Conference, IVEC 2023

作者： Liu, Hangxin Xu, Li Yuan, Xuesong Yang, Siyi Wang, Hao Yin, Junhui Li, Xing Li, Bin School of Electronic Science and Engineering University of Electronic Science and Technology of China Chengdu611731 China Shenzhen Institute for Advanced Study UESTC Shenzhen518000 China

ISBN: (纸本)9781665473217

In this paper, a fast algorithm to obtain S parameters and mode field using the transfinite element element(TFE) method for a multi-mode output window is presented. In the proposed method, the eigenmodes of uniform electromagnetic waveguides have been regarded as a basis function. The coefficients for incident and reflected waves can be obtained quickly by solving finite element matrix equation. As an example of the analysis, the double disks output window for a gyrotron traveling-wave tube is analyzed. The reflection coefficients of TE11 mode and TE01 mode calculated by the TFE method agree well with the results simulated by HFSS. © 2023 IEEE.

关键词： Finite element method

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Interpretable machine learning optimization(InterOpt)for operational parameters:A case study of highly-efficient shale gas development

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Petroleum science 2023年第3期20卷 1788-1805页

作者： Yun-Tian Chen Dong-Xiao Zhang Qun Zhao De-Xun Liu Eastern Institute for Advanced Study Zhejiang315200China Department of Mathematics and Theories Peng Cheng LaboratoryGuangdong518055China National Center for Applied Mathematics Shenzhen(NCAMS) Southern University of Science and TechnologyGuangdong518055China Research Institute of Petroleum Exploration and Development CNPCBejing100083China

An algorithm named InterOpt for optimizing operational parameters is proposed based on interpretable machine learning,and is demonstrated via optimization of shale gas *** consists of three parts:a neural network is used to construct an emulator of the actual drilling and hydraulic fracturing process in the vector space(i.e.,virtual environment);:the Sharpley value method in inter-pretable machine learning is applied to analyzing the impact of geological and operational parameters in each well(i.e.,single well feature impact analysis):and ensemble randomized maximum likelihood(EnRML)is conducted to optimize the operational parameters to comprehensively improve the efficiency of shale gas development and reduce the average *** the experiment,InterOpt provides different drilling and fracturing plans for each well according to its specific geological conditions,and finally achieves an average cost reduction of 9.7%for a case study with 104 wells.

关键词： Interpretable machine learning Operational parameters optimization Shapley value Shale gas development Neural network

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SCOBERT: A Pre-Trained BERT for Smart Contract Vulnerability Detection 8

SCOBERT: A Pre-Trained BERT for Smart Contract Vulnerability...

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8th International Conference on Data science in Cyberspace, DSC 2023

作者： Sun, Guojin Jiang, Chi Shen, Jinqing Zhang, Yin Shenzhen Institute for Advanced Study Uestc University of Electronic Science and Technology of China Shenzhen China School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9798350331035

The introduction of smart contracts has brought new opportunities to the development of blockchain. However, due to the potential security vulnerabilities in smart contracts, accurately identifying these vulnerabilities has become one of the key challenges. Existing detection methods mostly focus on open-source smart contracts and suffer from issues such as low data utilization, insufficient contract information extraction, and high false positive rates. Since the proportion of open-source contracts is extremely low, accurately extracting feature information from non-open-source contracts and identifying vulnerabilities has become an urgent problem to be solved. Therefore, we propose SCOBERT, a pre-training model for blockchain smart contracts. SCOBERT supports downstream tasks related to smart contracts, such as smart contract functionality identification and smart contract vulnerability detection. We develop SCOBERT using Transformer neural architecture and train it through pre-training tasks like MLM(Masked Language Model) and NSP(Next Sentence Prediction). This allows us to make full use of unlabeled smart contract data and capture the semantic information of smart contract opcode sequences effectively. We conduct experiments on three types of contract vulnerabilities: integer overflow, multiplication after division, and reentrancy, and validate them on the validation set. The experimental results demonstrate that the smart contract vulnerability detection method based on the SCOBERT pre-training model performs excellently in terms of accuracy, precision, recall, and F1 score. © 2023 IEEE.

关键词： BERT Blockchain Ethereum Smart Contracts Pre-training Techniques Vulner-ability Detection

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Recent Development to High-Frequency Circuit Simulator 24

Recent Development to High-Frequency Circuit Simulator

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24th International Vacuum Electronics Conference, IVEC 2023

作者： Fan, Honghai Xu, Li Wang, Hao Yin, Junhui Liu, Hangxin Liu, Bingqi Li, Xing Li, Bin School of Electronic Science and Engineering University of Electronic Science and Technology of China Chengdu611731 China Shenzhen Institute for Advanced Study UESTC Shenzhen518000 China

ISBN: (纸本)9781665473217

Modeling and simulation techniques have been playing a more and more important role in designing and developing high-performance traveling-wave tubes (TWT). Recent developments to the high-frequency circuit simulator (HFCS), a 3-D advanced finite-element electromagnetic-simulation tool for TWT, are presented in this paper, using new preprocessing and postprocessing architecture. And a high performance parallel preconditioner is developed. The numerical example shows that the efficiency of matrix solution is improved. © 2023 IEEE.

关键词： Finite element method

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Assessment of the three-frequency pulse alternation method for simultaneously troposphere wind and aerosol profiling retrieval in a direct detection lidar

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Optics Express 2025年第11期33卷 22165-22184页

作者： Jing, Yimai Dai, Guangyao Chen, Xiangcheng Sun, Kangwen Long, Wenrui Liu, Bingyi Wang, Qichao Yin, Jiaping Qin, Shengguang Wang, Xitao Li, Rongzhong Wu, Songhua College of Marine Technology Faculty of Information Science and Engineering Ocean University of China Qingdao266100 China Laoshan Laboratory Qingdao266200 China Institute for Advanced Ocean Study Ocean University of China Qingdao266100 China Qingdao Leice Transient Technology Co. Ltd. Qingdao266100 China

The direct detection Doppler wind lidar, which is capable of detecting Rayleigh and Mie scattering signals synchronously and achieving the atmospheric wind field profile detection from the surface to the top of the troposphere, has become an important tool for the meteorology measurements. It is divided into two measurement mechanisms, including the edged technique and the fringe-imaging technique. The single-edge measurement method with use of iodine vapor filter is one of the traditional edge detection methods. The existing iodine molecular filter wind profile retrieval algorithms are based on the precise measurement of aerosol backscatter ratio Rb and sensitivity S, which bring certain wind speed errors. In order to improve the wind retrieval accuracy and measurement sensitivity, this paper proposes a retrieval algorithm based on the three-frequency pulse alternation (TFPA) method by using Rayleigh-Mie scattering, realizing the simultaneous retrieval of wind profile and Rb in the troposphere. Simulation experiments were carried out under different atmospheric conditions to evaluate the effectiveness and applicability of the algorithm and to analyze the main factors that affecting wind speed accuracy. The simulation results show that the TFPA method is mainly suitable for the wind profile retrieval where the aerosol exists in the atmosphere with Rb > 0.1. Compared with the direct measurement sensitivity method, the TFPA method reduced the radial wind speed error by 50%, decreased the standard deviation of the horizontal wind speed from the true value by 71.6%. The radial wind speed error caused by temperature and pressure uncertainties are small, which can to be ignored. Under stable atmospheric conditions, the effect of vertical wind velocity is also slight. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Wind effects

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Binary Search Based Flexible Power Control for Single-Stage Multiport Inverter-Fed Motor Drives 2

Binary Search Based Flexible Power Control for Single-Stage ...

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2nd IEEE International Power Electronics and Application Symposium, PEAS 2023

作者： Luo, Kehan Zhou, Dehong Zou, Jianxiao Zhou, Xue Shen, Zewei School of Automation Engineering University of Electronic Science and Technology of China Uestc Chengdu China Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China Uestc Chengdu China

ISBN: (纸本)9798350313765

A single-stage multiport inverter (SSMPI)-fed motor drive, which connects dc-side energy sources to the ac motor without the application of any dc/dc power converters, offers a lightweight and highly-efficient multiple-source integration option for hybrid electric vehicles. However, the existing flexible power control strategies of SSMPI require adjusting more control parameters and suffering from low control precision. To tackle these issues, first, an equivalent two-level model-based space vector modulation strategy is adopted to accomplish the synthesis of the expected voltage vector, and power distribution between dc-port sources may also be realized simultaneously through regulating the two redundant zero vectors' duration times. Then, different from prior control schemes, the power distribution control problem is transformed into the problem of solving nonlinear equations and a binary search algorithm is utilized to solve them. Based on this, the two redundant zero vectors' duration times are calculated for realizing an anticipant power distribution. The proposed method features fewer control parameter adjustments and improves power control performance with simplified implementation. Finally, the expected output power control performance of the proposed approach are verified via several steady-state comparative experiments on a permanent-magnet synchronous motor (PMSM) in the laboratory corroborate. © 2023 IEEE.

关键词： binary search algorithm flexible power control Single-stage multiport inverter (SSMPI)-fed motor drives

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Proteomic analysis of B cells in peripheral lymphatic system reveals the dynamics during the systemic lupus erythematosus progression

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Biophysics Reports 2025年第2期11卷 129-142页

作者： Liming Sun Yuanyuan Yin Yuqing Cao Chunlei Chen Yutong Guo Zeming Cai Jiarui Wu Qingrun Li Key Laboratory of Systems Health Science of Zhejiang Province School of Life Science Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences School of Life Science and Technology ShanghaiTech university CAS Key Laboratory of Systems Biology Shanghai Institute of Biochemistry and Cell Biology Center for Excellence in Molecular Cell Science Chinese Academy of Sciences University of Chinese Academy of Sciences

In this study, we conducted a comprehensive proteomic analysis of B cells from the spleen, mesenteric lymph nodes(mLN), and peripheral blood mononuclear cells(PBMC) in a time-course model of systemic lupus erythematosus(SLE) using female MRL/lpr mice. By combining fluorescence-activated cell sorting(FACS) and 4D-Data-Independent Acquisition(4D-DIA) mass spectrometry, we quantified nearly 8000 proteins, identifying significant temporal and tissue-specific proteomic changes during SLE progression. PBMC-derived B cells exhibited early proteomic alterations by Week 9, while spleen-derived B cells showed similar changes by Week 12. We identified key regulatory proteins, including BAFF, BAFFR, and NFKB2, involved in B cell survival and activation, as well as novel markers such as CD11c and CD117, which have previously been associated with other immune cells. The study high-lights the dynamic reprogramming of B cell proteomes across different tissues, with distinct contributions to SLE pathogenesis, providing valuable insights into the molecular mechanisms underlying B cell dysregulation in lupus. These findings offer potential therapeutic targets and biomarkers for SLE.

关键词： Proteomics B cells Beripheral lymphatic system SLE

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Cross-Intent Graph Contrastive Learning for Fashion Sequential Recommendation 28

Cross-Intent Graph Contrastive Learning for Fashion Sequenti...

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28th International Conference on Automation and Computing, ICAC 2023

作者： Xu, Rucong Wang, Jianfeng Li, Yun Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China Shenzhen518110 China School of Software Taiyuan University of Technology Taiyuan030002 China

ISBN: (纸本)9798350335859

Sequential recommendation in e-commerce seeks to recommend items to users based on their past purchase preferences and has received much research attention. However, most approaches are so far restricted to modeling the user's long-term intent (user-to-item) and short-term intent (item-to-item) separately, which may extract the user's purchase interest but disregard possible synergistic interplay between the long-term and short-term intents on the user's overall purchase interest. To balance the users' long-term and short-term intents, this paper develops a cross-intent graph contrastive learning framework. By encouraging alignment of graph network representations among multiple intentions, we capture complementary information from different intentions of the same user. We extensively evaluate this framework by conducting experiments on two publicly available fashion datasets. The results demonstrate the effectiveness and efficiency of cross-intent graph contrastive learning. © 2023 IEEE.

关键词： Sales

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Modeling of Electron Device with Lumped Elements Base on Vector Finite Element Method

Modeling of Electron Device with Lumped Elements Base on Vec...

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2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio science Meeting, AP-S/URSI 2023

作者： Yang, Zaichao Xu, Li Wang, Hao Yin, Junhui Li, Xing Li, Bin School of Electronic Science and Engineering University of Electronic Science and Technology of China Chengdu611731 China Shenzhen Institute for Advanced Study Uestc Shenzhen518000 China

ISBN: (纸本)9781665442282

In allusion to many complex microwave structures with lumped electrical circuit elements, this paper proposes an algorithm to model lumped elements, such as resistance (R), inductance (L) and capacitance(C). It can be used to specify any combination of parallel-connected or serial-connected lumped RLC elements on surfaces in terms of circuit definition. And the lumped port is selected to excite the circuit structure. The numerical results are presented and compared with HFSS to verify the numerical solution and illustrate the effectiveness of the proposed algorithm. © 2023 IEEE.

关键词： Finite element method

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