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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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Joint Spatial Similarity-based Attention for Retina Vessel Segmentation with Super Resolution Encoding 4

Joint Spatial Similarity-based Attention for Retina Vessel S...

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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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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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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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Thin-film approximate point scattered function and its application to neutron radiography

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nuclear Science and Techniques 2022年第9期33卷 1-9页

作者： Jun Qin Jia-Yu Ni Lin-Feng Ye De-Hong Gao Wei-Jun Jiang Department of Nuclear Engineering and New Energy Technology The College of Engineering and Technology of Chengdu University of TechnologyLeshan 614000SichuanChina Society for Theoretical and Computational Physics The College of Engineering and Technology of Chengdu University of TechnologyLeshan 614000SichuanChina

A simpler and improved utility approximate point scattered function for thin-film converters currently used in neutron photographic devices is proposed as a correction method to produce clearer,more realistic *** validity of the model was demonstrated through a simulation *** on the results,an error analysis was carried out,certain corrections were made to the original model,and the final model achieved a very low relative error in the simulation *** model can also be optimized for quantitative neutron photographic analysis using iterative algorithms to obtain realistic neutron photographic images more *** the end of the article,the model is extended to consider the case of energy spectrum hardening by introducing a temperature correction parameter.

关键词： Neutron radiography Point scattered function Image processing

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Research on Performance Computer Evaluation Model of Low-Temperature Protective Clothing Based on Explicit Difference Method 2

Research on Performance Computer Evaluation Model of Low-Tem...

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2nd IEEE International Conference on Data Science and Computer Application, ICDSCA 2022

作者： Deng, Hui Sun, Yiqing The College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu Sichuan610059 China

ISBN: (数字)9781665472005

ISBN: (纸本)9781665472005

At present, the research institute has developed a three-layer low-temperature protection composite material. Low-temperature protective materials are mainly used for short-term low-temperature protection, effectively reducing the harm of the external environment to the human body. In this paper, considering that the heat release capacity of the phase change layer is different at different temperatures, according to the data of heat release capacity and temperature of protective materials, the change of heat release capacity Q and field temperature T is fitted by Fourier function, and the functional relationship of material heat release is obtained. Therefore, the model is divided into three stages and calculated separately. In the first stage, there is no self-heating or internal heat source in the three-layer materials, so according to the law of conservation of energy and Fourier law, the unsteady heat conduction formula is deduced and solved. In the second stage, the phase change layer begins to release heat, and the first stage model is added to each layer's heat conduction control equation with heat release capability. The third stage is similar to the first stage. With the help of the explicit difference method, the model is discretized, and the cooling model of materials is solved to effectively evaluate the protective ability of low-temperature protective composites. © 2022 IEEE.

关键词： Phase change materials

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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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Automated Production Line Control System based on Industrial Cloud Platform

Automated Production Line Control System based on Industrial...

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2022 International Conference on Intelligent Manufacturing and Industrial automation, CIMIA 2022

作者： Liu, JianQin Li, LinLin Qu, Tao He, HuiDong The College of Nuclear Technology and Automation Engineering Chengdu University of Technology Sichuan Chengdu610059 China

ISBN: (纸本)9781510655966

With the rapid development of modern industry, enterprises have an increasing demand for data monitoring and automated control of multiple production outlets and production lines. This paper first analyses the structure of the production line, completes the control system model design, establishes the network framework of the system, designs the human-machine interaction interface, gives the SFC flow chart of the workstations and the communication scheme of the PLC between each station, and finally realises the real-time interaction of the monitoring data in the industrial cloud platform. The research contributes new ideas to related research in this field. © 2022 SPIE.

关键词： Control systems

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Application of X-ray fluorescence technology in lithology discrimination

Application of X-ray fluorescence technology in lithology di...

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2023 International Conference on Computer Application and Information Security, ICCAIS 2023

作者： Liu, Guili Zhai, Juan Zhang, Wei Lai, Wanchang Zhao, Ziqi Li, Wen Wang, Guangxi Yang, Qiang Chen, Ran College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu610059 China Chengdu Institute of Product Quality Inspection Co. Ltd. Sichuan Chengdu610100 China Chengdu Zhongfu Technology Co. Ltd. Sichuan Chengdu610100 China

ISBN: (纸本)9781510675032

X-ray fluorescence data are not only an important indicator in petroleum exploration, but they are also an advantage in lithology discrimination. From the perspective of the application of nuclear technology in drilling and exploration, in this paper, the X-ray fluorescence count rate of the core is used as the basic data for core logging, and the geology and multivariate statistical data are analyzed to analyze the lithology of the core. X-ray fluorescence analysis can provide the fluorescence count rates of 35 elements in a core sample. If there are n core samples, an n*35 matrix can be created. If 35 types of fluorescence count rates are used as the independent variables to directly identify the lithology, the dataset is very large, and some of the independent variables are not strongly correlated. Therefore, the discrimination effect is insufficient for achieving the purpose. Therefore, based on the diagenetic characteristics of sedimentary rocks and the main rock-forming elements and using multivariate statistical methods, in this paper, the count rates of five elements (i.e., Si, Fe, Al, K, and Ca) are selected as independent variables for the lithology discrimination. It is reasonably transformed to obtain the matrix coefficients before dimensionality reduction. The original five-dimensional dataset is reduced to two dimensions using matrix coefficients. Then, Fisher's discriminant method is applied to the dimensionally reduced data to discriminate and classify the lithology. Based on the discrimination results, the X-ray fluorescence count rate and mathematical statistics can be used to obtain a good effect in lithology discrimination. © 2024 SPIE.

关键词： Lithology

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STSR: An Efficient Model for Super-Resolution Reconstruction

STSR: An Efficient Model for Super-Resolution Reconstruction

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Consumer Electronics and Computer engineering (ICCECE), 2021 IEEE International Conference on

作者： Xinhui Liu College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China

ISBN: (数字)9798331533113

ISBN: (纸本)9798331533120

STSR is an efficient and lightweight super-resolution model built upon the Swin Transformer architecture. By utilizing the hierarchical window-based self-attention mechanism of the Swin Transformer, STSR effectively captures global contextual information while ensuring high computational efficiency. To further enhance its performance and reduce model complexity, we incorporate lightweight design elements and residual structures. These improvements not only facilitate better gradient flow but also significantly boost the recovery of high-frequency details. Experimental results on the DIV2K dataset show that STSR delivers exceptional performance, significantly reducing both parameter count and computational costs.

关键词： Computational modeling Superresolution Computer architecture Transformers Computational efficiency Complexity theory Image reconstruction Consumer electronics

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