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10th IEEE International Power Electronics and Motion Control Conference, IPEMC 2024 ECCE Asia

作者： Ma, Guangda Xie, Chuan Li, Cheng Han, Yang Wang, Weijun Zou, Jianxiao University of Electronic Science and Technology of China School of Automation Engineering Chengdu China University of Electronic Science and Technology of China School of Mechanical and Electrical Engineering Chengdu China

ISBN: (纸本)9798350351330

The passive damping (PD) branches based on passive design can provide sufficient passivity compensation to the output admittance of the grid-connected inverter (GCI) at the cost of low damping loss. However, the type of passivity-based PD branch is only considered on the shunt RC branch in recent reports. This paper investigates the passivity compensation capabilities of several types of PD branches. Furthermore, design guidelines for the different types of PD branches are presented based on their passive properties and damping loss. Finally, the design example is given to verify the correctness of the proposed design guidelines. © 2024 IEEE.

关键词： Design

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Thickness gauge design based on high speed scintillator detector and FPGA 4

Thickness gauge design based on high speed scintillator dete...

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4th International Conference on Computer technology, Information engineering, and Electron Materials, CTIEEM 2024

作者： Liu, Chang Liu, Junchao Dong, Xingwen Li, Chaoyuan Zhou, Hongxuan Hu, Chuanhao College of Nuclear Technology and Automation Engineering Chengdu University of Technology Sichuan Chengdu 610059 China

ISBN: (纸本)9781510689299

In order to solve the problem that the accuracy of traditional thickness gauge can not meet the requirements of today's production, a thickness gauge based on high-speed scintillator nuclear radiation detector is proposed here. With high-speed scintillator GAGG as the detector core, the thickness gauge takes advantage of GAGG's own high energy resolution and low light decay time properties, as well as the ultra-high stability and real-time performance of the detector's electronic part, and adopts high-speed parallel FPGA to sample and count the output to achieve high-precision measurement. By taking the aluminum baffle as an example, the thickness of several different thickness aluminum baffle is measured. Finally, the experimental results show that the detector has the characteristics of good stability and high accuracy. © 2025 SPIE.

关键词： FPGA High speed scintillator Thickness gauge

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Distributed Adaptive Cooperative Control for Human-in-the-Loop Heterogeneous UAV-UGV Systems with Prescribed Performance

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年 1-13页

作者： Liang, Hongjing Yang, Shoufeng Li, Tieshan Zhang, Huaguang School of Automation Engineering University of Electronic Science and Technology of China Chengdu China College of Control Science and Engineering Bohai University Jinzhou China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China

This paper focuses on the distributed adaptive cooperative control problem for human-in-the-loop (HiTL) heterogeneous unmanned aerial vehicle-unmanned ground vehicle (UAV-UGV) systems via an improved prescribed performance approach. A novel human motion recognition system (HMRS) is designed and integrated into the HiTL strategy. Specifically, the leader trajectory can be changed in real time based on HMRS and the leader signal library to cope with various unexpected situations. This HiTL strategy solves the discontinuity and non-differentiability problems that may exist before and after human modification of leader signals within the extremely short time in conventional HiTL strategies. Moreover, an improved predefined-time prescribed performance approach is proposed, in which the performance function only needs to be first-order continuous differentiable instead of infinite-order continuous differentiable. This approach can greatly broaden the selection range of performance functions. Furthermore, a unified model of heterogeneous UAV-UGV systems is established to avoid designing UAV and UGV systems separately, which improves the universality of the control algorithm. Finally, the proposed HiTL control scheme is applied to a simulation example to verify its feasibility and effectiveness. IEEE

关键词： Intelligent vehicle highway systems

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FPGA-based acceleration for binary neural networks in edge computing

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Journal of Electronic Science and technology 2023年第2期21卷 65-77页

作者： Jin-Yu Zhan An-Tai Yu Wei Jiang Yong-Jia Yang Xiao-Na Xie Zheng-Wei Chang Jun-Huan Yang School of Information and Software Engineering University of Electronic Science and Technology of ChinaChengdu610054China School of Automation Chengdu University of Information TechnologyChengdu610225China State Grid Sichuan Electric Power Research Institute Chengdu610095China Department of Information Sciences and Technology George Mason UniversityFairfaxVA22030USA

As a core component in intelligent edge computing,deep neural networks(DNNs)will increasingly play a critically important role in addressing the intelligence-related issues in the industry domain,like smart factories and autonomous *** to the requirement for a large amount of storage space and computing resources,DNNs are unfavorable for resource-constrained edge computing devices,especially for mobile terminals with scarce energy *** of DNN has become a promising technology to achieve a high performance with low resource consumption in edge ***-programmable gate array(FPGA)-based acceleration can further improve the computation efficiency to several times higher compared with the central processing unit(CPU)and graphics processing unit(GPU).This paper gives a brief overview of binary neural networks(BNNs)and the corresponding hardware accelerator designs on edge computing environments,and analyzes some significant studies in *** performances of some methods are evaluated through the experiment results,and the latest binarization technologies and hardware acceleration methods are *** first give the background of designing BNNs and present the typical types of *** FPGA implementation technologies of BNNs are then *** comparison with experimental evaluation on typical BNNs and their FPGA implementation is further ***,certain interesting directions are also illustrated as future work.

关键词： Accelerator Binarization Field-programmable gate array(FPGA) Neural networks Quantification

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FEASIBILITY AND SAFETY ANALYSIS OF SOLID-STATE REACTOR FOR LUNAR SURFACE EXPLORATION 31

FEASIBILITY AND SAFETY ANALYSIS OF SOLID-STATE REACTOR FOR L...

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2024 31st International Conference on Nuclear engineering, ICONE 2024

作者： Yugao, Ma Jiahao, Lu Yue, Liu Suyi, Zhang Muhao, Zhang Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610213 China College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu610059 China

ISBN: (纸本)9780791888247

The Fission Surface Power System is a feasible solution for future lunar surface exploration energy supply, with the solid-state reactor being considered a primary candidate. This paper presents a modeling and analysis of a solid-state reactor based on publicly available information. Using the reactor Monte Carlo program RMC and the commercial finite element analysis software ANSYS, the reactor is modeled and analyzed. The power distribution of the active zone and reactivity feedback coefficients of the entire core are obtained. The result indicates a negative reactivity feedback coefficient, confirming this reactor design's inherent safety. Furthermore, a two-dimensional reactor model is constructed to obtain the temperature distribution during full-power operation, and non-passive residual heat removal analysis and radiative heat loss failure analysis are performed. At the failure condition of all heat pipes, the maximum core temperature is 742 K, which is below the reactor safety temperature limit, confirming the residual heat removal capability of the solid-state reactor in the loss of heat sink. Additionally, the self-developed transient reactor system analysis program is used for thermal safety analysis. The thermal parameters and heat transfer limits of high-temperature alkali metal heat pipes within the reactor are obtained, with the ratio of heat transfer limit to the heat load of 2.05 demonstrating sufficient safety margins of the heat pipe operation in the reactor. The results manifest that the core is satisfied with the existing criteria for anticipated operating occurrences of solid-state reactors, verifying the excellent safety performance of this reactor design. Based on the analysis and calculations in this study, it is concluded that this reactor design exhibits superior safety performance, which is attributed to the neutron physics design concept of the intermediate neutron spectrum and the thermal-hydraulic design concept of non-passive residual h

关键词： Lunar surface analysis

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Distributed Unknown Input Observer-Based Global Fault-Tolerant Average Consensus Control for Linear Multi-Agent Systems 14

Distributed Unknown Input Observer-Based Global Fault-Tolera...

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14th International Conference on Information Science and technology, ICIST 2024

作者： Yang, Ximing Li, Tieshan Long, Yue Yang, Hanqing School of Automation Engineering University of Electronic Science and Technology of China Chengdu611731 China

ISBN: (纸本)9798350353334

The paper mainly investigates the distributed unknown input observer-based global fault-tolerant average consensus control problem for multi-agent systems (MASs). First, a distributed unknown input observer based on relative estimation error is proposed, which can effectively reduce the impact of external disturbances and achieve accurate estimation of the agent states and the faults they suffered. Then, based on the obtained accurate estimations and using the relative estimation error, a global fault-tolerant average consensus controller is proposed. The proposed controller can compensate for the effects of faults and enable the MASs to achieve global average consensus. Finally, simulations are given to verify the effectiveness of the proposed scheme. © 2024 IEEE.

关键词： Multi agent systems

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High-sensitivity phase imaging eddy current magneto-optical system for carbon fiber reinforced polymers detection

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Journal of Electronic Science and technology 2023年第4期21卷 48-59页

作者： Jiang-Shan Ai Quan Zhou Yi-Ping Liang Chun-Rui Feng Bing Long Li-Bing Bai Yong-Gang Wang Chao Ren School of Automation Engineering University of Electronic Science and Technology of ChinaChengdu611731China Department of Mechanical Engineering Catholic University of LeuvenLeuven3001Belgium Chengdu Aircraft Industry Company Ltd. Chengdu610091China

This paper proposed a high-sensitivity phase imaging eddy current magneto-optical (PI-ECMO) system for carbon fiber reinforced polymer (CFRP) defect detection. In contrast to other eddy current-based detection systems, the proposed system employs a fixed position excitation coil while enabling the detection point to move within the detection region. This configuration effectively mitigates the interference caused by the lift-off effect, which is commonly observed in systems with moving excitation coils. Correspondingly, the relationship between the defect characteristics (orientation and position) and the surface vertical magnetic field distribution (amplitude and phase) is studied in detail by theoretical analysis and numerical simulations. Experiments conducted on woven CFRP plates demonstrate that the designed PI-ECMO system is capable of effectively detecting both surface and internal cracks, as well as impact defects. The excitation current is significantly reduced compared with traditional eddy current magneto-optical (ECMO) systems.

关键词： Carbon fiber reinforced polymers Defect detection Eddy current magneto-optical Nondestructive testing Phase imaging

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A Fast Measurement Method of Temperature Field on High Temperature Surface Based on Color CCD 7

A Fast Measurement Method of Temperature Field on High Tempe...

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7th International Conference on Pattern Recognition and Artificial Intelligence, PRAI 2024

作者： Tan, Xutong Yin, Chun Liu, Junyang Gao, Yan Yan, Zhongbao School of Automation Engineering University of Electronic Science and Technology of China Chengdu611731 China

ISBN: (纸本)9798350350890

The rapid and accurate measurement of high-temperature fields holds significant implications in the realms of aero-engine measurement, metal welding, and the metallurgical industry. This paper proposes a method for rapid temperature field measurement in high-temperature environments, leveraging a color CCD. Initially, we analyze the sources of error in high-temperature measurement scenarios. Subsequently, we design a rapid temperature field measurement method for high-temperature environments using a Multi-layer Perceptron, which includes model construction and dataset creation that takes into account the sources of high-temperature errors. Using the proposed method, we invert the temperature field to obtain visualization data. The efficacy of the temperature field measurement method is validated and tested through high-temperature experiments using a standard blackbody furnace. Experimental results indicate that the proposed temperature measurement method can measure up to 2000^C, while maintaining a relative low measurement error. This represents a substantial improvement over traditional least squares fitting temperature measurement methods in high-temperature scenarios. © 2024 IEEE.

关键词： Thermography (temperature measurement)

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Study on a Non-collecting Atmospheric Radon Concentration Measurement System 23rd

Study on a Non-collecting Atmospheric Radon Concentration Me...

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23rd Pacific Basin Nuclear Conference, PBNC 2022

作者： Tang, Chuanfeng Ge, Liangquan Guo, Shengliang Deng, Zhipeng Li, Jin College of Nuclear Technology and Automation Engineering Chengdu University of Technology Sichuan Chengdu China College of Nuclear Technology and Automation Engineering Applied Nuclear Technology in Geosciences Key Laboratory of Sichuan Province Chengdu University of Technology Sichuan Chengdu China Chengdu Newray Technology Technology Co. Ltd. Sichuan Chengdu China

ISBN: (纸本)9789819910229

Radon in the atmosphere is an important tracer in meteorology and geology and an important index of environmental radioactivity level evaluation. In this paper, NaI (Tl) scintillator detector was developed to directly measure radon concentration in the atmosphere, and a mathematical model of atmospheric radon gamma measurement was proposed, which solved the technical problem of online real-time monitoring of atmospheric radon concentration. It has important scientific and practical value. In this paper, the characteristic gamma peaks of radon daughters 214Bi (609.31 keV) and 214Pb (351.92 keV) are respectively selected to calculate the radon concentration in the atmosphere. During the measurement period, the variation trend of radon concentration is the same as the theory, which suggests a higher concentration in the morning and a lower in the evening. Finally, the experimental measurement results were compared with the RAD7 radon measuring instrument. The error range of this detection system is 79.73% smaller than that of RAD7 on average, and its detection limit reaches 0.29 Bq/m3 with a 30-min-measurement at room temperature. This paper proves that it is feasible to directly measure the activity concentration of radon in the atmosphere. The atmospheric radon measurement method proposed in this paper can accurately obtain the concentration of atmospheric radon and has the advantages of convenience, large measuring range, low detection limit, and online measurement. © 2023, The Author(s).

关键词： Radioactivity

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DSLA: A Distance-Sensitive Label Assignment Strategy for Oriented Object Detection in Remote Sensing Images 27th

DSLA: A Distance-Sensitive Label Assignment Strategy for Or...

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27th International Conference on Pattern Recognition, ICPR 2024

作者： Wei, Minghong Dong, Yan Xiang, Haobin Gao, Guangshuai Li, Chunlei School of Information and Communication Engineering Zhongyuan University of Technology ZhengZhou China School of Automation Engineering University of Electronic Science and Technology of China ChengDu China

ISBN: (纸本)9783031784460

Detectors based on convolutional neural networks (CNN) commonly employ label assignment to distinguish positive and negative samples during training. However, existing label assignment strategies overlook the diverse characteristics of objects in remote sensing images(RSI), such as arbitrary directions, large aspect ratios, and varying scales, which leads to inadequate and low-quality sample issues. To tackle these challenges, we propose a novel distance-sensitive label assignment (DSLA) strategy to effectively select both adequate and high-quality positive samples. Specifically, we design an elliptical region sampling (ERS) strategy to carefully screen candidate positive samples by utilizing elliptical regions, thereby mitigating background interference that hampers the model’s performance. Furthermore, we propose a distance-controlled compensation loss (DC-Loss) to further enhance the effectiveness of ERS by reducing the impact of low-quality samples. Extensive experiments are conducted on two challenging datasets for rotated object detection, namely DIOR-R and HRSC2016, validate the superiority of our proposed method. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Convolutional neural networks

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