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2023 IEEE International Conference on Sensors, Electronics and Computer engineering, ICSECE 2023

作者： Yang, Qingru Zhang, Xin Xie, Yuxuan Huang, Shuhong Kong, Junfeng Zhang, Xiaoyu Chengdu China Chengdu University of Technology College of Mechanical and Electrical Engineering Chengdu China Chengdu University of Technology College of Nuclear Technology and Automation Engineering Chengdu China

ISBN: (纸本)9798350313734

This paper proposes a seismic landslide detection method based on Transformer and RNN algorithm. This method uses seismic data and topographic data as inputs, encodes the data through the Transformer model, and then inputs the encoded data into the RNN model for classification. In the training process, we use the cross entropy loss function and Adam optimizer. To verify the effectiveness of the method, we used public data sets for experiments, and the results show that our proposed method can significantly improve the accuracy of seismic landslide detection. In addition, we interpret the results by visualization method and analyze the performance of the model under different parameters. Our method is expected to provide effective support for earthquake landslide prediction and early warning. © 2023 IEEE.

关键词： Seismology

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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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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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Experimental Study on Impedance Characteristics of Trees under 10kV Voltage

Experimental Study on Impedance Characteristics of Trees und...

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2023 Panda Forum on Power and Energy, PandaFPE 2023

作者： Yang, Sen Zhao, Shenyuan Li, Linlin Chen, Tianxiang The College of Nuclear Technology and Automation Engineering Chengdu University of Technology Cheng Du China

ISBN: (纸本)9798350321173

The tree direct contact line is the fault type that has the greatest impact on the power system in the tree-line contradiction. At present, most of the existing studies are aimed at the monitoring and disposal of tree-line faults, but there are few studies on the impedance characteristics of trees when tree- line faults occur. Based on the 10k V simulated test line, this paper experimentally studies the change process, development trend and change characteristics of tree impedance when trees of different types, lengths and moisture contents have tree-line faults, as well as the influence of different system capacitive currents on fault characteristics. The experiment took three different species of pine, eucalyptus and bamboo as the test objects. The results showed that the impedance characteristics of the three different species of trees during tree line contact discharge were different, among which pine and eucalyptus had larger impedance and bamboo had smaller impedance. And the correlation between tree length and tree impedance is not strong. Under the premise of the same tree species, the impedance of the part with high moisture content is small, and the impedance of the part with low moisture content is large. In the time range of 0 20s, the impedance of trees decreases with the increase of discharge time. © 2023 IEEE.

关键词： Bamboo

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Research on Fire Time of Tree Line Fault Trees under 10kV Distribution Line 2

Research on Fire Time of Tree Line Fault Trees under 10kV Di...

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2nd Asia Power and Electrical technology Conference, APET 2023

作者： Yang, Sen Chen, Tianxiang Wang, Meng Zeng, Chaoxu Yang, Longshan Chen, Long The College of Nuclear Technology and Automation Engineering Chengdu University of Technology Cheng Du China

ISBN: (纸本)9798350359428

The tree direct contact line is the fault type that has the greatest impact on the power system in the tree-line contradiction. At present, most of the existing studies are aimed at the monitoring and disposal of tree line faults, but there are few studies on the fire time of tree line faults. Based on the 10kV simulated test line, this paper builds a tree line fault simulation test platform for 10 kV distribution lines. The common tree species under the transmission line in Sichuan are selected as test sample trees. The fire time of different types of trees after tree line failure is studied. The test study obtained the fire time of three kinds of trees under the condition of capacitance current of different lines to the ground. It was found that the fire time is not directly related to the tree and impedance. The main factors affecting the fire time are the thickness of the tree and the size of the capacitance current of the transmission line. The process of tree burning can be divided into 4 stages, namely: arc preheating stage, epidermal carbonization stage, water evaporation stage and branch burning stage, and can correspond to the changing trend of leakage current. The research results can provide technical reference for preventing wildfires caused by transmission line tree line faults. © 2023 IEEE.

关键词： Electric lines

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Design of Upper Limb Posture Detection and Trajectory Matching Based on Motion Capture 8

Design of Upper Limb Posture Detection and Trajectory Matchi...

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8th International Conference on Electromechanical Control technology and Transportation, ICECTT 2023

作者： Wang, Linlin Li, Siyi Liu, Hao Xie, Kunshuo College of Nuclear Technology and Automation Engineering Chengdu University of Technology Sichuan Chengdu China College of Mechanical and Electrical Engineering Chengdu University of Technology Sichuan Chengdu China

ISBN: (纸本)9781510668331

As biomechanics research evolves, the significance of motion capture technology in domains like film and television, gaming, and motion training is progressively gaining prominence, with an expanding repertoire of applications. Optical motion capture, employing optical dynamic capture equipment founded on a 3D imaging analysis system within a specified setting, stands as the most mature technique. However, its high cost and constraints pertaining to venue and environmental factors limit its usage. Conversely, inertial motion capture devices, functional under non-optical conditions, can cater to the needs of the broader public. To further enhance affordability, portability, and simplification of the device, this study proposes an embedded system design grounded on a nine-axis inertial sensor. It captures the posture of each joint in the human upper limb and wirelessly transmits the data to the Unreal Engine 3D arm model for action replication and motion trajectory delineation. Thus, it generates feedback results facilitating remote motion control. © 2023 SPIE.

关键词： Engines

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Fast nuclide identification based on a sequential Bayesian method

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nuclear Science and Techniques 2021年第12期32卷 116-127页

作者： Xiao-Zhe Li Qing-Xian Zhang He-Yi Tan Zhi-Qiang Cheng Liang-Quan Ge Guo-Qiang Zeng Wan-Chang Lai Chengdu University of Technology The College of Nuclear Technology and Automation EngineeringChengdu 610059China

The rapid identification of radioactive substances in public areas is ***,traditional nuclide identification methods only consider information regarding the full energy peaks of the gamma-ray spectrum and require long recording times,which lead to long response *** this paper,a novel identification method using the event mode sequence(EMS)information of target radionuclides is *** EMS of a target radionuclide and natural background radiation were established as two different probabilistic models and a decision function based on Bayesian inference and sequential testing was *** proposed detection scheme individually processes each *** a photon is detected and accepted,the corresponding posterior probability distribution parameters are estimated using Bayesian inference and the decision function is ***,value of the decision function is compared to preset detection thresholds to obtain a detection ***ments on different target radionuclides(137Cs and 60Co)were *** count rates of the regions of interest(ROI)in the backgrounds between[651,671],[1154,1186],and[1310,1350]keV were 2.35,5.14,and 0.57 CPS,*** experimental results demonstrate that the average detection time was 6.0 s for 60Co(with an activity of 80400 Bq)at a distance of 60 cm from the *** average detection time was 7 s for 137Cs(with an activity of 131000 Bq)at a distance of 90 cm from the *** results demonstrate that the proposed method can detect radioactive substances with low activity.

关键词： Natural radiation Nuclide identification Sequential testing nuclear safety

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Intelligent identification method of insulation pull rod defects based on intactness-aware Mosaic data augmentation and fusion of YOLOv5s

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High Voltage 2024年第5期9卷 1171-1182页

作者： Changyun Li Yuze Hua Yilin Liu Kai Liu Sanyi Zhang College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdaoChina College of Electrical Engineering Southwest Jiaotong UniversityChengduChina Institute of Information Engineering Chinese Academy of SciencesBeijingChina

The authors introduce the intactness-aware Mosaic data augmentation strategy,designed to tackle challenges such as low accuracy in detecting defects in insulation pull rods,limited timeliness in intelligent analysis,and the absence of a comprehensive database for information on insulation pull rod *** proposed strategy incorporates the YOLOv5s algorithm for detecting defects in insulation pull ***,the YOLOv5s network was constructed,and a dataset containing photos of insulation pull rods with white spots,fractures,impurities,and bubble flaws was compiled to capture images of *** research presented a data enhancement approach to improve the images and establish a dataset for insulation pull rod *** YOLOv5s algorithm was applied for both training and testing purposes.A comparative analysis was conducted to assess the detection performance of YOLOv5s against a conventional target detector for identifying defects in insulation pull ***,the utility of Mosaic's data augmentation technique,which incorporates intactness awareness,was evaluated to enhance the accuracy of identifying insulation pull rod *** research findings indicate that the YOLOv5s algorithm is employed for intelligent detection and precise localisation of *** intactnessaware Mosaic data augmentation strategy significantly improves the accuracy of detecting faults in insulation pull *** YOLOv5s model used achieves a performance index mAP@0.5:0.95 of 0.563 on the test set,distinct from the training set *** a threshold of 0.5,the mAP@0.5 score is 0.904,indicating a substantial improvement in both detection efficiency and accuracy compared to conventional target detection *** approaches for identifying defects in insulation pull rods are introduced.

关键词： Mosaic insulation defects

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Gaussian shaper for nuclear pulses based on multilevel cascade convolution

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nuclear Science and Techniques 2022年第12期33卷 116-127页

作者： Min Wang Jian‑Bin Zhou Xiao‑Ping Ouyang Ying‑Jie Ma Xu Hong College of Nuclear Technology and Automation Engineering Chengdu University of TechnologyErxian Bridge No.1 East 3 RoadChenghua DistrictChengdu 610059China Northwest Institute of Nuclear Technology Xi’an 710024China

For nuclear measurements,it is necessary to obtain accurate information from nuclear pulses,which should be obtained by first shaping the pulses outputted by the ***,commonly used pulse-shaping algorithms have certain *** example,certain pulse-shaping algorithms have long dead-times in high-counting-rate environments or are difficult to achieve in digital *** signals are widely used in analog nuclear instruments owing to their symmetry and completeness.A Gaussian signal is usually implemented by using a multilevel S–K filter in series or in *** is difficult to construct a real-time digital Gaussian filter for the complex Gaussian filtering *** on the multilevel cascade convolution,a pulse-shaping algorithm for double exponential signals is proposed in this study,which,in addition to double exponential signals,allows more complex output signal models to be used in the new *** proposed algorithm can be used in high-counting-rate environments and has been implemented in an FPGA with fewer multipliers than those required in other traditional Gaussian pulse-shaping *** offline processing results indicated that the average peak base width of the output-shaped pulses obtained using the proposed algorithm was reduced compared with that obtained using the traditional Gaussian pulse-shaping *** results also demonstrated that signal-to-noise ratios and energy resolutions were improved,particularly for pulses with a low *** energy resolution was improved by 0.1–0.2%while improving the counting rate.

关键词： Impulse shaping Multilevel cascade convolution S–K filter Gaussian-like distribution Double exponential signal

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Dual-head alternating attention-based adaptive convolutional framework for improving low-resource and imbalanced text classification

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Neural Computing and Applications 2025年 1-21页

作者： Agbesi, Victor Kwaku Chen, Wenyu Hossin, Md Altab Ukwuoma, Chiagoziem C. School of Computer Science and Engineering University of Electronic Science and Technology of China No. 2006 Xiyuan Ave West Hi-Tech Zone Sichuan Chengdu China School of Innovation and Entrepreneurship Chengdu University No. 2025 Chengluo Avenue 610106 Sichuan Chengdu China College of Nuclear Technology and Automation Engineering Chengdu University of Technology Sichuan Chengdu610059 China Sichuan Engineering Technology Research Center for Industrial Internet Intelligent Monitoring and Application Chengdu University of Technology Sichuan Chengdu610059 China

Low-resource imbalance texts pose significant challenges due to class imbalance, adversely affecting the performance of deep learning approaches. To address this issue, we propose a dual-head alternating attention-based adaptive convolutional framework with label embedding (AltXLM-AdaCLE), a novel framework designed for imbalanced text classification in low-resourced datasets. Our framework features a new alternating attention model, which combines a dual-head attention mechanism with a bidirectional long short-term memory network, facilitating dynamic filter generation that adapts to the input data’s characteristics and enhances the capture of relevant features and long-range dependencies. A key innovation in this study is the dual-head attention mechanism, which utilizes an alternating reading sequence to extract information from multiple document segments, thereby minimizing information loss and improving the understanding of complex relationships. Furthermore, we introduce a method for embedding class labels in a shared vector space with the text, allowing the model to leverage label information throughout the classification process, which is particularly beneficial for imbalanced datasets. Our framework also incorporates an adaptive convolutional layer that processes text features and label embeddings, generating more representative features of the underlying data distribution and improving classification performance. Experimental results on six low-resourced imbalance text datasets validate the effectiveness of AltXLM-AdaCLE with an average AUC gain of 26.42%, demonstrating its superiority over existing methods. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2025.

关键词： Vector spaces

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