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4th IEEE International Conference on Pattern Recognition and Machine Learning, PRML 2023

作者： Ekong, Favour Yu, Yongbin Patamia, Rutherford Agbeshi Sarpong, Kwabena Ukwuoma, Chiagoziem C. Cai, Jingye University of Electronic Science and Technology of China Information and Software Engineering Chengdu China Chengdu University of Technology Nuclear Technology and Automation Engineering Chengdu China

ISBN: (纸本)9798350324303

Machine learning methods based on fully convolutional networks have emerged as a viable choice for retinal vessel segmentation. However, when input samples significantly deviate from the training data distribution, these deep networks fail silently, posing serious challenges for automatic data processing pipelines. In our study, we question the effectiveness of randomly selecting unlabeled training target images for annotation and inclusion in the support set, as it may not facilitate an efficient fine-Tuning process. We propose a novel method to optimize the image selection procedure to address this. By utilizing our method, we can identify informative unlabeled target images by comparing the consistency of model predictions on these images under specific data augmentations. However, it should be noted that the model developed using the source datasets cannot accurately evaluate consistency on the target images. To overcome this issue, we suggest employing self-supervised pretext tasks to compute scores for unlabeled target images, resolving this limitation. The top few images with the lowest consistency scores can then be added to the support set and annotated by experts to fine-Tune the model for the target images. We introduce an upgraded encoder-decoder model which outperforms multi-scale prediction ensembling to address insufficient single-scale base learners. This paper proposes a novel module that uses joint spatial and channel attention and an auxiliary prototype similarity operation to enhance border localization and super-resolution in the encoder-decoder architecture. To evaluate the performance of our approach, we conducted experiments on two distinct datasets, integrating our joint spatial/channel attention-based module with auxiliary prototype similarity operation for super-resolution encoding. Our empirical results demonstrate the superiority of our proposed model over state-of-The-Art attention mechanisms used in super-resolution. © 2023 IEEE.

关键词： Decoding

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Security control for air-sea heterogeneous multiagent systems with cooperative-antagonistic interactions:An intermittent privacy preservation mechanism

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Science China(Technological Sciences) 2025年第4期68卷 179-192页

作者： Shoufeng YANG Hongjing LIANG Yingnan PAN Tieshan LI College of Control Science and Engineering Bohai UniversityJinzhou121013China School of Automation Engineering University of Electronic Science and Technology of ChinaChengdu611731China Laboratory of Electromagnetic Space Cognition and Intelligent Control Beijing100089China

antagonistic interactions,data security and transient-steady state performance of the system are two key *** ensure data security,an intermittent privacy preservation(IPP)mechanism is proposed for the first time.A novel setting time initial mask function and a novel intermittent mask function are *** can implement intermittent preservation for the system according to actual requirements,which solves the irreversibility problem after conventional mask disappears and balances control accuracy and system *** ensure transient-steady state performance,a novel error transformation function(ETF)is proposed and integrated into the predefined-time prescribed performance control *** to conventional hyperbolic tangent type ETFs,the proposed ETF can improve the convergence accuracy of errors under the same ***,a unified model of the air-sea HMASs is established,which improves the model accuracy compared with the simplified ***,the proposed IPP security control strategy is applied to the air-sea delivery mission to verify its feasibility and effectiveness.

关键词： air-sea heterogeneous multiagent systems(HMASs) security control intermittent privacy preservation(IPP) error transformation function(ETF)

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Signal modeling and impulse response shaping for semiconductor detectors

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nuclear Science and Techniques 2022年第4期33卷 72-82页

作者： Xue-Yuan Wang Jian-Bin Zhou Ming Wang Huai-Ping Wang Xu Hong Yi Liu Ping Huang College of Nuclear Technology and Automation Engineering Chengdu University of TechnologyErxian BridgeNo.1 East 3 RoadChenghua DistrictChengdu 610059China Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System East China University of TechnologyNanchang 330013China China Testing Technology Co. LtdChengdu 610021China

The output-signal models and impulse response shaping(IRS)functions of semiconductor detectors are important for establishing high-precision measurement *** this paper,an output-signal model for semiconductor detector systems is *** to the proposed model,a multistage cascade deconvolution IRS algorithm was developed using the C-R inverse system,R-C inverse system,and differentiator *** silicon drift detector signals acquired from the analog-to-digital converter were *** experimental results indicated that the shaped pulses obtained using the proposed model had no undershoot,and the average peak base width of the output shaped pulses was reduced by 36%compared with that for a simple model proposed in a previous work[1].Offline processing results indicated that compared with the traditional IRS algorithm,the average peak base width of the output shaped pulses obtained using the proposed algorithm was reduced by 11%,and the total elapsed time required for pulse shaping was reduced by 26%.The proposed algorithm avoids recursive *** the sampling frequency of the digital system reaches 100 MHz,the proposed algorithm can be simplified to integer *** proposed IRS algorithm can be applied to high-resolution energy spectrum analysis,highcounting rate energy spectrum correction,and coincidence and anti-coincidence measurements.

关键词： Output-signal model Impulse response shaping C-R inverse system R-C inverse system Integer arithmetic

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Numerical Investigation on Transient Bounce Arc and Anode Surface Temperature 7

Numerical Investigation on Transient Bounce Arc and Anode Su...

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7th International Conference on Electric Power Equipment - Switching technology, ICEPE-ST 2024

作者： Chen, Shuang Yang, Ze Shi, Zongqian Wang, Lijun Sun, Jiajia School of Electronic Information and Electrical Engineering Chengdu University Chengdu China College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China Xi'an Jiaotong University State Key Laboratory of Electrical Insulation and Power Equipment Xi'an China

ISBN: (纸本)9798350388947

In this research, the closing arc and the bouncing arc are studied with transient MHD model. A transient self-consistent model is established using the dynamic meshing technology. The simulation results show that the ion density decreases significantly with the expansion of the arc column. As a result, the energy flux from the arc to the anode center decreases gradually as a power function. Since the energy flux is very high at the arc ignition, the anode temperature increases significantly at first. Then the maximum anode temperature begins to fall due to the decrease of the maximum energy flux. © 2024 IEEE.

关键词： Electromagnetic transients

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Ramp Driving of Automatic Car and Its Practical Application 22

Ramp Driving of Automatic Car and Its Practical Application

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2nd International Conference on Human Machine Interaction, ICHMI 2022

作者： Li, Zhimin Peng, Haojin Zhao, Zixiang College of Nuclear Technology and Automation Engineering Chengdu University of Technology China

ISBN: (纸本)9781450396615

With the rapid development and maturity of core technologies such as environmental perception, multi-sensor fusion, intelligent decision-making, control and execution systems, high-precision maps and positioning, autonomous vehicles have moved from the laboratory to the stage of open road field testing and commercial demonstration. The automated guided vehicle (AGV) used in complex conditions is a key factor of factory practical application. The electric car designed in this paper is mainly equipped with STM32 CPU, infrared sensor and DC motor. By studying the motion process of electric car climbing at a uniform speed under different slopes, the actual motion state of electric car under different slopes is analyzed. Based on the design of the ramp driving car, the concept of constant speed climbing, PID control algorithm and slope applicability are extended to the factory AGV, so as to provide a reasonable optimization design for its practical engineering application in complex conditions. © 2022 ACM.

关键词： Decision making

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Construction of Fatigue Life Prediction Model and Optimization of Structural Parameters for Gear-Rack Transmission Mechanism of Mountain Train

Construction of Fatigue Life Prediction Model and Optimizati...

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International Conference on Mechanical Design, ICMD 2023

作者： Li, Fan Li, Zhou Liu, Fuyuan Wang, Shisong Deng, Xingqiao School of Mechanical and Electrical Engineering Chengdu University of Technology Chengdu610059 China Sichuan Shudao New System Rail Group Co. Ltd. Sichuan Chengdu610072 China College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu610059 China

ISBN: (纸本)9789819709212

As the critical transmission mechanism of mountain trains, gear-rack transmission systems are utilized in intricate and unpredictable mountain environments. The fatigue life of the tooth root in this system plays a crucial role in ensuring the smoothness and safety of mountain train operations. In this paper, a simulation method for measuring the fatigue life of tooth root bending of the gear-rack transmission mechanism is proposed. Firstly, the load conditions of the gear-rack were determined for different working conditions through the application of multi-body dynamics. Subsequently, a quantitative analysis model was developed for the tooth root bending fatigue life of the gear-rack transmission mechanism using the finite element method and stress fatigue theory. The model was used to simulate the gear-rack under different working conditions, analyze the stress distribution and cyclic fatigue life of the transmission system, and investigate the impact of different working conditions on the fatigue life of the gear-rack transmission system. Finally, the structural parameters of the gear-rack transmission mechanism were optimized using the fatigue analysis model of tooth root bending. The findings provide theoretical support for optimizing the transmission system of mountain trains and have significant practical value. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Finite element method

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Research on the Influence of Different Wiring Methods on the Conversion Results of Transformer Low-Voltage no-Load Test 4

Research on the Influence of Different Wiring Methods on the...

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4th International Conference on Power and Energy technology, ICPET 2022

作者： Ren, Xinyue Zhao, Shenyuan Li, Weijia Chen, Tianxiang Chengdu University of Technology College of Nuclear Technology and Automation Engineering Chengdu Sichuan China

ISBN: (数字)9781665480796

ISBN: (纸本)9781665480796

The no-load test of the transformer is an important item of the power transformer insulation preventive test, but due to the limitation of the test conditions, the field test cannot reach the rated voltage. Usually, the no-load test data measured at low voltage is converted into the no-load loss under the rated voltage. Determine the transformer condition. In this paper, the no-load test of S7-50/35 three-phase oil-immersed power transformer through five different wiring methods, the no-load loss measured under low voltage is converted to the no-load loss under rated voltage, and the experimental research and analysis are carried out. The measurement error of no-load loss under six wiring methods is discussed, and the influence of different wiring methods on the conversion result of no-load loss is discussed. The research results show that the test is carried out under the rated voltage of 22.5%~32.5%, and when the wiring method is not connected to the neutral point or only connected to the neutral point of the power supply side, the no-load loss conversion error is the smallest, and the maximum error is 3%. © 2022 IEEE.

关键词： Electric transformer testing

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Research on Generation Mechanism and Variation Characteristics of Single-phase Ground Overvoltage in Medium Voltage Transmission Line

Research on Generation Mechanism and Variation Characteristi...

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2022 IEEE International Conference on High Voltage engineering and Applications, ICHVE 2022

作者： Zhao, Shenyuan Chen, Tianxiang Ren, Xinyue Xu, Huikai Yang, Bowen College of Nuclear Technology and Automation Engineering Chengdu University of Technology Sichuan Chengdu China

ISBN: (纸本)9781665407502

In the experimental research on the impact of 10-35kV wildfire and tree line faults on transmission lines, it was found that are grounding overvoltage were generated. This paper studies and analyzes the mechanism of overvoltage generation. The research analyzes the three-phase voltage and zero sequence voltage caused by overvoltage. Variation characteristics, when resonance occurs, the random voltage of one phase is less than the voltage of the other two phases, and the magnitude of this voltage is determined by the neutral point displacement voltage;the moment of arc overvoltage will cause the amplitude of the zero sequence voltage and the non-fault phase voltage to be rapid within 0.6ms, the fault phase voltage is lower than the rated voltage, and presents a power frequency cycle change trend. Modeling and simulation were carried out by PSCAD/EMPTC simulation software, and the variation characteristics of arc overvoltage between metal and high resistance grounding were verified. © 2022 IEEE.

关键词： Electric lines

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The Interaction between Droplets and Vacuum Arc in the Vacuum Interrupters 7

The Interaction between Droplets and Vacuum Arc in the Vacuu...

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7th International Conference on Electric Power Equipment - Switching technology, ICEPE-ST 2024

作者： Yang, Ze Cai, Dongsheng Chen, Tianxiang Huang, Qi Wang, Lijun College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China School of Information Engineering Southwest University of Science and Technology Mianyang China Xi'an Jiaotong University State Key Laboratory of Electrical Insulation and Power Equipment Xi'an China

ISBN: (纸本)9798350388947

In this research, droplets with a diameter on the order of 100μm are studied. Their movement in the vacuum arc is simulated with the help of dynamic meshing technology. During the movement, the droplets are heated and charged by the vacuum arc. On the other hand, the feedback of droplets to the vacuum arc is also considered, including evaporation process and the ionization process of the droplet vapor. The results show that with the increase of droplet diameter, the temperature increase and the velocity of droplets decrease. The influence of the vacuum arc on the droplets can be determined by the ablation cloud of the droplets. The ionization process of the droplet vapor leads to a lower electron temperature and higher atom density around the droplets. © 2024 IEEE.

关键词： Vacuum technology

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An Improved Algorithm for the Detection of Fastening Targets Based on Machine Vision

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Computer Modeling in engineering & Sciences 2021年第8期128卷 779-802页

作者： Jian Yang Lang Xin Haihui Huang Qiang He College of Nuclear Technology and Automation Engineering Sichuan Key Laboratory of Geoscience Nuclear TechnologyChengdu University of TechnologyChengdu610059China

Object detection plays an important role in the sorting process of mechanical *** object detection has been studied for many years,it has always been an industrial ***-based model matching is only suitable for a small range of illumination changes,and the matching accuracy is *** optical flow method and the difference method are sensitive to noise and light,and camshift tracking is less effective in complex *** this paper,an improved target detection method based on YOLOv3-tiny is *** redundant regression box generated by the prediction network is filtered by soft nonmaximum suppression(NMS)instead of the hard decision NMS *** not only increases the size of the network structure by 52×52 and improves the detection accuracy of small targets but also uses the basic structure block MobileNetv2 in the feature extraction network,which enhances the feature extraction ability with the increased network layer and improves network *** experimental results show that the improved YOLOv3-tiny target detection algorithm improves the detection ability of bolts,nuts,screws and *** accuracy of a single type has been improved,which shows that the network greatly enhances the ability to learn objects with slightly complex *** detection result of single shape features is slightly improved,which is higher than the recognition accuracy of other *** average accuracy is increased from 0.813 to 0.839,an increase of two percentage *** recall rate is increased from 0.804 to 0.821.

关键词： Deep learning target detection YOLOv3-tiny

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