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2024 3rd International Conference on electronic information and Communication Engineering, EICE 2024

作者： Li, Peipei Luo, Li Wei, Qi School of Electronic and Information Engineering Beijing Jiaotong University Beijing100091 China Engineering Research Center for Navigation Technology Department of Precision Instrument Tsinghua University Beijing100084 China

In this work, a low noise CLASS AB operational amplifier, which can output high voltage, has been fabricated by a 180 nm BCD process. For the objective of achieving low noise, the bipolar junction transistor (BJT) input stage with the base current compensation structure is employed. Experimental results show that the low noise amplifier's equivalent input current and voltage noise are 3.2 pA/sqrt (Hz) and 16.73 nV/sqrt (Hz) separately, and the rising and falling slew rates are 10.40 MV/s and 6.67 MV/s separately. With the die area of 0.629 mm2, the amplifier's power consumption is 18.3 mW, which flows 60 μA on the 5 V low power supply and 600 μA on the 25 V high power supply. © Published under licence by IOP Publishing Ltd.

关键词： Operational amplifiers

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research on the Structure for Flight Carbon Offset Based on Closed-Loop Control 42

Research on the Structure for Flight Carbon Offset Based on ...

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42nd Chinese Control Conference, CCC 2023

作者： Chen, Jingjie College of Electronic Information and Automation Civil Aviation University of China Tianjin300300 China Research Center for Environment and Sustainable Development of the China Civil Aviation Tianjin300300 China

ISBN: (纸本)9789887581543

The essence of closed-loop control is to eliminate deviation by deviation. In this paper, a structure for pre-flight carbon offset based on closed-loop control is put forward. Firstly, the evolution of the tripartite liability system for carbon offset in air transport is analyzed. Then the logic structure of carbon offset control of pre-flight flight is established by applying the closed-loop control principle. The regulation mechanism of the controller is established. And a benchmark for pre- flight carbon offset is proposed. The experimental scheme is simple to operate and almost does not involve the problem of market distortion, carbon offset price prediction and baseline. It is believed that the established research scheme can support the air transport system to achieve the goal of double carbon. © 2023 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： Carbon

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Design and Implementation of a NTT Accelerator Based on RISC-V for PQC Kyber 18

Design and Implementation of a NTT Accelerator Based on RISC...

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18th IEEE International Conference on Anti-Counterfeiting, Security, and Identification, ASID 2024

作者： Wang, Nuo Wu, Liji Li, Lei Chinbat, Munkhbaatar Zhang, Xiangmin School of Electronic Engineerings Heilongjiang University Harbin China School of Integrated Circuits Tsinghua University Beijing China Beijing National Research Center for Information Science and Technology Beijing China

ISBN: (纸本)9798331505639

RISC-V, as a new generation open-source Reduced Instruction Set Computing (RISC) architecture, has the advantages of low power consumption, small footprint, and high performance. Especially, RISC-V processors realized based on FPGA can be applied in different fields such as embedded systems, Artificial Intelligence (AI) chips, security devices and high-performance computing. It is foreseeable that a breakthrough in quantum computers will jeopardize all communications. Therefore, processors must integrate secure quantum computer anti-encryption techniques. Currently, the security and reliability aspects of processor implementations are still greatly underexplored. To address this gap, we propose three contributions. First, we augment the open-source IP Hummingbird E203 with a hardware module for implementing the Number-Theoretic Transform (NTT) operations of the Post-Quantum Cryptography (kyber). Second, we employ the hardware/software co-design techniques to accelerate NTT operations. Third, analyze the results of implementation. Prototyping was performed on FPGA to evaluate our designed processor NTT extension instructions. The cycle count for NTT operations is reduced by 84.55% and the instruction count is reduced by 81.25%. Enhanced computational efficiency applicable to information security systems under potential quantum computing threats is shown. The scalability of Post-Quantum Cryptography (kyber) based on riscv is realized. © 2024 IEEE.

关键词： Quantum computers

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DHFM-FLM: A Dynamic Hierarchical Federated Learning Mechanism for Financial Models under Client Resource Heterogeneity

DHFM-FLM: A Dynamic Hierarchical Federated Learning Mechanis...

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2024 IEEE International Conference on Big Data, BigData 2024

作者： Yin, Kangning Ding, Zhen Hou, Shaoqi Ji, Xinhui Yin, Guangqiang Wang, Zhiguo University of Electronic Science and Technology of China Kash Institute of Electronics and Information Industry Chengdu China School of Information Management Wuhan University Wuhan China Big Data Research Institute Wuhan University Wuhan China School of Information and Software Engineering University of Electronic Science and Technology of China Chengdu China Shanghai New Energy Vehicle Public Data Collection and Monitoring Research Center Shanghai China

ISBN: (纸本)9798350362480

Federated Learning (FL) is an emerging distributed machine learning technology. However, in practical applications, it frequently encounters the challenge of client resource heterogeneity. This can result in long wait times or even model training failures during the communication process of FL. To address this problem, we propose a dynamic hierarchical federated learning mechanism for financial models (DHFM-FLM). The local client adopts a dynamic model training design that leverages the property of resource heterogeneity to enhance the performance of the local model. To avoid prolonged wait times for failing clients, a dynamic communication detection design is proposed at three critical junctures. In each round, the model hierarchical reservation communication design is employed to collect models in segments, thus reducing communication congestion and preventing malicious attacks on the communication process. Experiments with heterogeneous computation and communication resources demonstrate that utilizing the DHFM-FLM boosts model performance by approximately 5-8% and reduces communication time by about 15%. Additionally, DHFM-FLM increases the success rate of the FL task by approximately 6%. © 2024 IEEE.

关键词： Federated learning

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Hierarchical Small Signal Modeling for Multi-Functional Hybrid Energy Storage Systems Enabled by Semi-Consensus Strategy

Hierarchical Small Signal Modeling for Multi-Functional Hybr...

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2024 CPSS and IEEE International Symposium on Energy Storage and Conversion, CPSS and ISESC 2024

作者： Zhou, Yurui Lin, Pengfeng Lu, Zhengmei Zhu, Miao Xiong, Junjie School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China Grid-Technology-Center State Grid Jiangxi-Electric Power Research Institute Nanchang China

ISBN: (纸本)9798350380514

In a hybrid energy storage (HESS), V-P droop controllers are applied to batteries, whereas supercapacitors (SCs) are governed by integral droop (ID). The coordination between V-P droop and ID assists the realization of transient power allocations among batteries and SCs. Semi-consensus distributed control strategy for the HESS further enhances its control flexibilities, which endows multi-functional operations. However, for the cyber-physical HESS wherein hardware circuits and communication infrastructures co-exist, a systematic stability analyzing architecture is lacking due to complicated couplings between cyber and physical layers. To address this issue, a hierarchical small signal modeling approach is proposed in this paper. First, nonlinear average models of converters are explicitly delineated and the corresponding small signal models are developed. Second, the control loops including V-P droops, IDs, and proportional-integral (PI) controllers are modeled and linearized as in matrix forms, in small signal sense. Third, the linearized model depicting the control dynamics of semi-consensus strategy is derived. Based on the modeling from above three levels, a holistic small signal model characterizing overall dynamic responses of HESS can be obtained, which considerably facilitates the system eigenvalue loci analyses. Then critical loading margin as well as sensitive parameters leading to instability can be identified efficiently. Time domain simulations verify the correctness of the proposed methods. © 2024 IEEE.

关键词： Eigenvalues and eigenfunctions

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Reliability Evaluation Methods of Accelerated Degradation Test for Fiber-Optic Gyroscope Under Temperature Environment 2nd

Reliability Evaluation Methods of Accelerated Degradation Te...

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2nd International Conference on Innovative Solutions in Hydropower Engineering and Civil Engineering, HECE 2022

作者： Li, Renqing Li, Jin Song, Yan Wang, Kun CEPREI Laboratory Guangzhou China Guangdong Provincial Key Laboratory of Electronic Information Products Reliability Technology Guangzhou China China Ship Development and Design Center Wuhan China

ISBN: (纸本)9789819917471

Fiber Optic Gyroscope (FOG) is a kind of rotation sensor with high reliability and long lifetime. Accelerated life test is hard to obtain enough failure data for reliability evaluation. By analyzing failure mechanism, the sensitive environment stress and performance degradation parameters of FOG are determined. Then an accelerated degradation test (ADT) is undertaken to obtain reliability information. Wiener process is introduced to describe performance degradation path and the Arrhenius model is selected as accelerated model. Considering epistemic uncertainty in monitoring, an interval linear regression model for ADT is introduced. Then the reliability of FOG at operating environment stress is evaluated. By discussing the reliability assessment results, the methods in this paper are feasible for FOG. © 2023, The Author(s).

关键词： Reliability

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Sonar Object Detection Based on Global Context Feature Fusion and Extraction 12

Sonar Object Detection Based on Global Context Feature Fusio...

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12th International Conference on Intelligent Control and information Processing, ICICIP 2024

作者： Wu, Wenwei Luo, Xiaonan School of Computer Science and Information Security Guilin University of Electronic Technology China Guilin Huigu Institute of Artificial Intelligence Industrial Technology Guilin China Guilin University of Electronic Technology National Local Joint Engineering Research Center of Satellite Navigation and Location Service Guilin541004 China

ISBN: (纸本)9798350308020

Automatic underwater target detection is a key task of sonar image processing and analysis, which aims to identify the target category and achieve accurate localization. However, sonar images are affected by seabed reverberation noise and complex background, resulting in great challenges for sonar target detection. YOLO network has shown excellent performance in the field of object detection, but its network structure is too complex, and its detection effect on sonar targets is not good. To address these difficulties, this paper proposes a sonar image target detection network based on Global Context Feature Fusion and Extraction (GCFFE-Net), which can globally extract and fuse semantic features from sonar images at multiple scales, and bidirectionally transfer features between different levels, thus highlighting the target area. Specifically, the multi-scale channel feature fusion module (MCFF-Block) in the network uses dilated convolution, and enhances the semantic information interaction between the feature layers required for different anchor detection by adaptively adjusting the weights of different channels. The spatial context feature pyramid fusion module (SCPFF-Block) adopts a pyramid structure, and realizes the fusion of shallow features and deep features of different levels of size through bidirectional information transfer from top to bottom and from bottom to top, improving the network's perception ability of the spatial context information of the target. The hierarchical region of interest attention module (HAA-Block) aligns and pools the regions of interest of different levels of size, making the network more focused on the location of the target, and enhancing the accuracy and robustness of target detection. The paper conducts experiments on the public dataset UADT, and the results show that the network proposed in this paper has high performance and superiority in sonar image target detection. © 2024 IEEE.

关键词： Object detection

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A High-Precision Sigma-Delta ADC for Battery Management System 17

A High-Precision Sigma-Delta ADC for Battery Management Syst...

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17th IEEE International Conference on Solid-State and Integrated Circuit technology, ICSICT 2024

作者： Xue, Hao Wu, Liji Hu, Jing Li, Zhiwei Zhang, Xiangmin Electronic Engineering College Heilongjiang University Harbin China School of Integrated Circuit Tsinghua University Beijing China Beijing National Research Center for Information Science and Technology Beijing China

ISBN: (纸本)9798350361834

A high-precision Sigma-Delta ADC is presented for battery management system (BMS) chips in new energy vehicles. It is designed with 180nm BCD (Bipolar CMOS DMOS) technology. Sigma-Delta ADC consists of a modulator and a digital filter. The modulator adopts a three-order cascaded integrator feedforward (CIFF) structure, where a 4-bit Flash ADC, working as a quantizer, can reduce quantization noise, improve dynamic performance and stability, and propose an active summation method to overcome the coefficient attenuation problem. The simulation results show that the ADC signal-to-noise distort ratio (SNDR) of 122.6 dB and a signal bandwidth (BW) of 4 KHz at a sampling frequency of 1.024 MHz, with a power consumption of 3.87 mW at a power supply voltage of 5 V, the design is feasible for the BMS chips. © 2024 IEEE.

关键词： Digital filters

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Orbital-designed flat-band model and realization of superconductivity in three-dimensional materials

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Physical Review B 2024年第18期109卷 L180504-L180504页

作者： Yueshao Zheng Leiqiang Li Nannan Luo Li-Ming Tang Yexin Feng Ke-Qiu Chen Zhenyu Zhang Jiang Zeng Department of Applied Physics School of Physics and Electronics Hunan University Changsha 410082 China Minjiang Collaborative Center for Theoretical Physics College of Physics and Electronic Information Engineering Minjiang University Fuzhou 350108 China International Center for Quantum Design of Functional Materials (ICQD) Hefei National Research Center for Physical Sciences at the Microscale University of Science and Technology of China Hefei 230026 China

electronic materials with a flat-band provide a fertile foundation for exploiting emerging quantum phenomena. Progress has been made in various two-dimensional (2D) systems, especially in a geometric frustrated kagome lattice system and a moire superlattice system for the study of unconventional superconductivity. However, intrinsic superconductivity has not yet been reported in 3D flat-band systems. The orbital degree of freedom might bring new vitality into the field of flat bands and superconductivity. Here, we propose an orbital-designed 3D flat-band model and its realization in various materials containing degenerate p-electrons, d-electrons, or molecular orbitals. More importantly, the possibility of superconductivity in some of these 3D flat-band materials, e.g., K2Pb and K2Bi, is revealed via first-principles calculations. Interestingly, these are intrinsically multiband superconductors. Our findings would expand the scope of flat-band studies, shedding light on the exploration of interacting effects and emerging quantum phases in 3D materials.

关键词： Electrical properties First-principles calculations Flat bands Multiband superconductivity

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Broadband and wide-angle plane focal surface Luneburg lens

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Chinese Physics B 2023年第6期32卷 16-20页

作者：李珏周杨阳陈焕阳 Institute of Electromagnetics and Acoustics and Department of Physics College of Physical Science and TechnologyXiamen UniversityXiamen 361005China Fujian Engineering Research Center for EDA Fujian Provincial Key Laboratory of Electromagnetic Wave Science and Detection TechnologyXiamen Key Laboratory of Multiphysics Electronic InformationXiamen UniversityXiamen 361005China

The energy crisis has aroused widespread concern, and the reform of energy structure is imminent. In the future,the energy structure will be dominated by the solar energy and other renewable energy sources. The solar concentrating technology as a promising method has been widely studied for collecting solar energy. However, the previous solar concentrating technologies suffer from some drawbacks, such as low focusing efficiency and large concentrating size. The Luneburg lens with highly efficient aberration-free focusing provides a new route for solar/energy concentrator. In this work, we designed a plane focal surface Luneburg lens(PFSLL) by transformation optics(TO). The PFSLL provides a relatively high focusing efficiency and concentration ratio of collection of energy. At the same time, it circumvents the disadvantage of curve surface of the classical Luneburg lens in device integration. Based on the reciprocity of electromagnetic waves, the PFSLL can also be applied to the antenna field to achieve broadband wide-angle scanning and highly directional radiation.

关键词： plane focal surface Luneburg lens(PFSLL) focusing efficiency concentration ratio of collection of energy

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