检索结果-内蒙古大学图书馆

Pulsed-Laser Testing to Evaluate Transient Dose Rate Effect on a Commercial-off-the-Shelf FPGA

IEEE Transactions on nuclear Science 2025年

作者： Li, Yang Peng, Zhigang Guo, Yaxin Tang, Ge Li, Junlin Li, Ruibin Chen, Wei Xiao, Yao Li, Yonghong Li, Mo He, Chaohui Zhang, Guohe Xi’an Jiaotong University School of Microelectronics Xi’an710049 China Xi’an Jiaotong University School of Nuclear Science and Technology Xi’an710049 China Chengdu University of Technology College of Nuclear Technology and Automation Engineering Chengdu610059 China Northwest Institute of Nuclear Technology National Key Laboratory of Intense Pulsed Radiation Simulation and Effect Xi’an710024 China University of Electronic Science and Technology of China School of Electronic Science and Engineering Chengdu611731 China

To overcome the complexity and challenges of transient γ irradiation experiments, this paper adopted pulsed lasers to simulate the transient dose rate effect (TDRE) on a commercial off-the-shelf (COTS) field-programmable gate array (FPGA), taking advantage of good stability, low interference, high efficiency, and low cost. Three test programs were designed for the Virtex-5 XC5VSX95T FPGA, including one program used in previous transient γ irradiation experiments. Laser experiments involved a wide energy range, and recorded failure features of the device under test (DUT) and photocurrents on the power supplies. By comparing the results with transient γ irradiation experiments, it was demonstrated that pulsed lasers can be used to effectively simulate FPGA’s TDRE, showing consistent effect characteristics. Additionally, the sensitivity of the internal clock and logic resources of the FPGA was analyzed, finding that delaylocked loops (DLLs) have a high sensitivity and that disturbances in the logic resources could propagate. There are multiple factors affecting the internal sensitivities. Furthermore, like transient γ rays, high-intensity pulsed lasers would also induce dynamic reconfiguration of the FPGA, which was analyzed specifically. These research findings are important supplements to studying FPGA’s TDRE, and also demonstrate a significant prospect of using pulsed lasers to simulate the TDRE in very large-scale integrated (VLSI) circuits. © 1963-2012 IEEE.

关键词： Gamma rays

来源：评论

学校读者我要写书评

暂无评论

Automatic Fruit Detection Based on Robotic Vision

Automatic Fruit Detection Based on Robotic Vision

引用

Big Data & Artificial Intelligence & Software engineering (ICBASE), International Conference on

作者： Yiran Chen Rui Yao Haoran Liu Bingqi Liu Mingzhe Liu School of Data Science and Artificial Intelligence Wenzhou University of Technology Wenzhou China College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China Norla Institute of Technical Physics Chengdu China

ISBN: (数字)9798331506612

ISBN: (纸本)9798331506629

Automatic fruit detection has greatly reduced labor costs and crop damage rates, contributing to the progress of agricultural modernization. It involves real-time assessment of the surrounding environment and recognition of target fruit categories. However, fruit detection faces challenges due to the similarities in shape, color, and other features among different types of fruits, as well as the impact of environmental factors such as inadequate lighting, occlusion, and background variations on recognition accuracy. This project focuses on the simulation of the robotic fruit harvesting process, which includes environmental image acquisition, image processing, and robot control. The robot utilizes its integrated camera to capture real-time images of the surrounding environment. These images are then processed on a computer, employing color recognition based on traditional algorithms. The images are segmented based on the identified color regions and subjected to object detection using YOLO v5. By discerning the presence of the target objects, the results are transmitted to the robot, which responds accordingly. The real-time performance is enhanced by filtering and narrowing down the target regions, reducing the time required for object recognition.

关键词： YOLO Image recognition Accuracy Image color analysis Target recognition Lighting Laser feedback Real-time systems Computational efficiency Laser beams

来源：评论

学校读者我要写书评

暂无评论

Synergy for the plasma-based CO2 conversion with the Solid Oxide Electrolysis Cell 51

Synergy for the plasma-based CO2 conversion with the Solid O...

引用

51st IEEE International Conference on Plasma Science, ICOPS 2024 and 4th Asia-Pacific Conference on Plasma and Terahertz Science, APCOPTS 2024

作者： Chen, X. Pikalev, A. Guerra, V. Zhang, G.-J. van de Sanden, R. Xi an Jiaotong University School of Electrical Engineering and Automation Shaanxi Xi'an China Dutch Institute for Fundamental Energy Research Plasma Solar Fuels Devices Eindhoven Netherlands Eindhoven University of Technology Department of Applied Physics Eindhoven Netherlands Instituto Superior Técnico Instituto de Plasmas e Fusão Nuclear Lisboa Portugal

ISBN: (纸本)9798350360912

The exploration of Mars needs in-situ resource utilization (ISRU) on Mars for life-maintaining, energy and food production [1]. The Martian atmosphere is primarily CO2 (95.9%), Ar (1.9%) and N2 (1.9%). The abundant CO2 from the Mars atmosphere can be converted directly into O2 and CO, which can be used for breathing and energy conversion respectively. Among all the CO2 conversion and oxygen production technologies, the most promising one is to combine the non-thermal plasmas and the solid oxide electrolyte cell (SOEC) with an oxygen separation membrane. Non-thermal plasma provides a highly-chemical-activated environment to break the stable carbon-oxygen double bonds, and the SOEC can separate the O2 from the plasma environment for breathing, which also inhibits the backward reaction of CO combing with O2 to form CO2. The plasma-SOEC synergy effects have been reported by several researchers [2,3] but no detailed investigations of the plasma-SOEC performance enhancement have been conducted. The principle behind it is still unclear. © 2024 IEEE.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Double-Stage Attention-Based Recurrent Neural Network Model for Steam Demand Fault Prediction

A Double-Stage Attention-Based Recurrent Neural Network Mode...

引用

International Joint Conference on Energy, Electrical and Power engineering , CoEEPE 2021

作者： Sun, Bo Qian, Hong Guo, Yuanjun Yang, Zhile Feng, Wei Ling, Jun Zhou, Zhigang State Key Laboratory of Nuclear Power Safety Monitoring Technology and Equipment Shenzhen518172 China School of Automation Engineering Shanghai University of Electric Power Shanghai200090 China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Shenzhen518055 China School of Automation Shanghai Jiaotong University Shanghai200240 China

ISBN: (纸本)9789811931703

Due to the large amount of data generated during modern industry, an urgent need for quickly and effectively data analysis exists to automatically provide accurate diagnosis results, as well as prediction of long-term series containing faults is fast becoming a key instrument. In order to solve the above- mentioned challenge, this paper proposed a double-stage attention-based recurrent neural network model to realize fault prediction during industrial production. The first stage selects the features that need attention, and the second stage also uses an attention structure to decode the potential state for fault prediction. All relevant potential characteristics can be revealed across all time steps, because the proposed scheme applies an input attention mechanism for input series feature extraction as well as a second attention mechanism to choose related potential characteristics, the experimental results demonstrated that the AA-RNN model has a better predictive effect under the multi-source fault data. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Recurrent neural networks

来源：评论

学校读者我要写书评

暂无评论

Intelligent Fault Diagnosis of nuclear grade Electric Equipment Based on Quantum Genetic Support Vector Machine

Intelligent Fault Diagnosis of Nuclear grade Electric Equipm...

引用

Data Driven Control and Learning Systems (DDCLS)

作者： Zhilong Liu Tongxi Li Minggang Li Changhua Nie Li Zhan Lele Zhao Zhang-Chun Tang Institute of Reactor Power Engineering Nuclear Power Institute of China Chengdu China School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu China School of Automation Guangdong University of Technology Guangzhou China

nuclear grade electric equipment is the key operating equipment of reactors in nuclear islands, and its reliable operation is a prerequisite to guarantee the operation of nuclear reactors. In order to effectively diagnose the faults of nuclear grade electric equipment, an intelligent fault diagnosis method based on QGA-SVM (Quantum Genetic Support Vector Machine) for nuclear grade electric equipment is proposed. Firstly, EEMD (Ensemble Empirical Mode Decomposition) and vibration eigenvalues calculation are carried out for the vibration signals collected under normal operation state and different fault degrees of nuclear grade equipment. Secondly, power eigenvalues calculation is carried out for the power signals collected under normal operation state and different fault degrees of nuclear grade equipment. Then, QGA((Quantum Genetic algorithm) and SVM (Support Vector Machine) are established to build an intelligent fault diagnosis model for nuclear grade electric equipment, and the operation eigenvalues is used as model input parameters. The results show that the proposed algorithm can efficiently and intelligently diagnose the faults of nuclear grade electric equipment, and the proposed method has certain significance for the fault diagnosis of electric equipment in other fields.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Searching for neutrinoless double-beta decay of 136Xe with PandaX-4T

引用

Science Bulletin 2025年第11期70卷 1779-1785页

作者： Zhang, Shu Bo, Zihao Chen, Wei Chen, Xun Chen, Yunhua Cheng, Zhaokan Cui, Xiangyi Fan, Yingjie Fang, Deqing Gao, Zhixing Geng, Lisheng Giboni, Karl Guo, Xunan Guo, Xuyuan Guo, Zichao Han, Chencheng Han, Ke He, Changda He, Jinrong Huang, Di Huang, Houqi Huang, Junting Hou, Ruquan Hou, Yu Ji, Xiangdong Ji, Xiangpan Ju, Yonglin Li, Chenxiang Li, Jiafu Li, Mingchuan Li, Shuaijie Li, Tao Li, Zhiyuan Lin, Qing Liu, Jianglai Lu, Congcong Lu, Xiaoying Luo, Lingyin Luo, Yunyang Ma, Wenbo Ma, Yugang Mao, Yajun Meng, Yue Ning, Xuyang Pang, Binyu Qi, Ningchun Qian, Zhicheng Ren, Xiangxiang Shan, Dong Shang, Xiaofeng Shao, Xiyuan Shen, Guofang Shen, Manbin Sun, Wenliang Tao, Yi Wang, Anqing Wang, Guanbo Wang, Hao Wang, Jiamin Wang, Lei Wang, Meng Wang, Qiuhong Wang, Shaobo Wang, Siguang Wang, Wei Wang, Xiuli Wang, Xu Wang, Zhou Wei, Yuehuan Wu, Weihao Wu, Yuan Xiao, Mengjiao Xiao, Xiang Xiong, Kaizhi Xu, Yifan Yao, Shunyu Yan, Binbin Yan, Xiyu Yang, Yong Ye, Peihua Yu, Chunxu Yuan, Ying Yuan, Zhe Yun, Youhui Zeng, Xinning Zhang, Minzhen Zhang, Peng Zhang, Shibo Zhang, Tao Zhang, Wei Zhang, Yang Zhang, Yingxin Zhang, Yuanyuan Zhao, Li Zhou, Jifang Zhou, Jiaxu Zhou, Jiayi Zhou, Ning Zhou, Xiaopeng Zhou, Yubo Zhou, Zhizhen New Cornerstone Science Laboratory Tsung-Dao Lee Institute Shanghai Jiao Tong University Shanghai201210 China School of Physics Sun Yat-sen University Guangzhou510275 China School of Physics and Astronomy Shanghai Jiao Tong University Key Laboratory for Particle Astrophysics and Cosmology Ministry of Education Shanghai Key Laboratory for Particle Physics and Cosmology Shanghai200240 China Shanghai Jiao Tong University Sichuan Research Institute Chengdu610213 China Jinping Deep Underground Frontier Science and Dark Matter Key Laboratory of Sichuan Province Xichang615000 China Yalong River Hydropower Development Company Chengdu610051 China Sino-French Institute of Nuclear Engineering and Technology Sun Yat-sen University Zhuhai519082 China Department of Physics Yantai University Yantai264005 China Key Laboratory of Nuclear Physics and Ion-beam Application Ministry of Education Institute of Modern Physics Fudan University Shanghai200433 China School of Physics Beihang University Beijing102206 China Peng Huanwu Collaborative Center for Research and Education Beihang University Beijing100191 China Beijing Key Laboratory of Advanced Nuclear Materials and Physics Beihang University Beijing102206 China Southern Center for Nuclear-Science Theory Institute of Modern Physics Chinese Academy of Sciences Huizhou516000 China SJTU Paris Elite Institute of Technology Shanghai Jiao Tong University Shanghai200240 China School of Mechanical Engineering Shanghai Jiao Tong University Shanghai200240 China Department of Physics University of Maryland College Park Maryland20742 United States School of Physics Nankai University Tianjin300071 China State Key Laboratory of Particle Detection and Electronics University of Science and Technology of China Hefei230026 China Department of Modern Physics University of Science and Technology of China Hefei230026 China Research Center for Particle Science and Technology Institute of Frontier and Interdisciplinary Sci

We report the search for neutrinoless double-beta decay of 136Xe from the PandaX-4T experiment with a 3.7-tonne natural xenon target. The data reconstruction and the background modeling are optimized in the MeV energy region. A blind analysis is performed with data from the commissioning run and the first science run. No significant excess of signal over the background is observed. A lower limit on the half-life of 136Xe neutrinoless double-beta decay is established to be 2.1×1024 yr at the 90% confidence level, with a 136Xe exposure of 44.6 kg⋅yr. Our result represents the most stringent constraint from a natural xenon detector to date. © 2025 Science China Press

关键词： Majorana neutrino Natural xenon detector Neutrinoless double-beta decay

来源：评论

学校读者我要写书评

暂无评论

An improved moving object tracking algorithm based on CAMSHIFT

An improved moving object tracking algorithm based on CAMSHI...

引用

2021 3rd International Conference on Applied Machine Learning and Data Science, ICAMLDS 2021

作者： Yang, Xiaoyan Yang, Jinyu Department of Electronic Software Engineering Institute of Guangzhou Guangdong510990 China College of Nuclear Technology and Automation Engineering Chengdu University of Technology Sichuan610059 China

There is a problem that Camshift algorithm relies too much on color as a criterion, in order to solve it, this paper presented an improved moving object tracking algorithm which combined Kalman filter predictor with Camshift algorithm. Firstly, the object model was built by Camshift Algorithm, and the centroid coordinates of the moving objectwere extracted, then the position of the object in the next frame was predicted by using Kalman filter, and finally, the value was used as the centroid coordinates of the object searched by Camshift algorithm in the next frame, proceeding with target match. The simulation results showed that this method can effectively solve the problem of target loss caused by the similar color between the target and the back. The new algorithm can effectively reduce the tracking error accumulation in the tracking process, greatly reduce the template drift, shorten the tracking time, and can have a better practicability and real-time performance. © Published under licence by IOP Publishing Ltd.

关键词： Kalman filters

来源：评论

学校读者我要写书评

暂无评论

A Compton Scattering Background Subtraction Method of Gamma Energy Spectrum Based on Gaussian Function Convolution

SSRN

引用

SSRN 2024年

作者： Qin, Ru-Lan Li, Chang-Yuan Qin, Zhang-Jian Zhang, Zhi-Hong Cai, Jun Shanghai Institute of Applied Physics Chinese Academy of Sciences Shanghai201800 China University of Chinese Academy of Sciences Beijing100049 China College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu610059 China

Due to the influence of the Compton effect and the relatively close gamma energy emitted during certain nuclide decays, gamma-ray spectrum analysis often faces challenges, such as a high count of Compton platforms and overlapping peaks, leading to some errors in energy spectrum analysis and low nuclide identification rates. This study proposes a spectrum analysis technique that uses Gaussian convolution to effectively eliminate background counts induced by Compton scattering. To minimize calculation errors in variance, the variance error is decreased from 2.98% to 0.84% through the utilization of a binary method for adjusting the transformation scale. Simulation results show that the average relative error of peak area calculations is less than 10.78%, and the differences between the standard peak center position and the peak center position measured by the Gaussian convolution method are less than 0.049% across a range of Signal-to-Noise Ratio(SNR) levels. These findings demonstrate the Gaussian convolution method's significant noise reduction capabilities and computational stabilities. In the end, empirical spectrum experiments were carried out to confirm that the average relative error of peak area calculation is around 7.63%, and the relative error between the Gaussian convolution method and Gamma Vision peak-seeking result is around 0.18%. The results demonstrate that this method can effectively eliminate the Compton scattering background counts in the gamma spectrum, obtain the peak position and peak area of the full energy peak, and facilitate the accurate identification of the weak peak in the gamma spectrum. © 2024, The Authors. All rights reserved.

关键词： Convolution

来源：评论

学校读者我要写书评

暂无评论

Experimental study of tree ground fault discharge characteristics of 35 kV transmission lines

Experimental study of tree ground fault discharge characteri...

引用

2021 IEEE Sustainable Power and Energy Conference, iSPEC 2021

作者： Yang, Chunlan Chen, Tianxiang Yang, Bowen Zhang, Xinghai Fan, Songhai Chengdu University of Technology School of Nuclear Technology and Automation Engineering Chengdu China Institute of Electric Power Science State Grid Sichuan Electric Power Company Chengdu China

ISBN: (纸本)9781665414395

In recent years, forest fires have been frequent, leading to many major casualties and major losses to the national economy, but also affect the operational safety of the power grid. When forest fires occur, in addition to external weather and human factors, whether it is caused by grid line failure is also a controversial issue when finding the cause of the accident. In the paper, three common tree discharge characteristics under 35 kV transmission lines in Sichuan are studied, and a test platform and test program are designed to study the discharge characteristics of trees near the line and the fault characteristics of trees hitching on the transmission line circuit due to external factors, analyze the causes of related accidents, and propose the identification basis for the sequence of hill fires and line faults. The current range of trees ignited by tree grounding within 20 minutes is also obtained to provide ideas for later anti-accident measures. A theoretical model of tree grounding fault is proposed, which can predict the magnitude of tree grounding leakage current. © 2021 IEEE.

关键词： Electric lines

来源：评论

学校读者我要写书评

暂无评论

Mountain fire smoke affects the safe operation of 35 kV transmission lines Experimental study on influence mechanism

Mountain fire smoke affects the safe operation of 35 kV tran...

引用

2021 IEEE Sustainable Power and Energy Conference, iSPEC 2021

作者： Yang, Nongchao Chen, Tianxiang Li, Weijia Zhang, Xinghai Wu, Chi University of Technology College of Nuclear Technology and Automation Engineering Chengdu Chengdu China Company Electric Power Research Institute State Grid Sichuan Electric Power Chengdu China

ISBN: (纸本)9781665414395

Transmission lines often passed through forests. When the climate is hot and before and after the Tomb-sweeping Day every year, mountain fire accidents often occur, which affects the transmission lines. The most important impact is the tripping of the transmission lines, which seriously affects the safe operation of the power grid influences. This paper builds a test platform for the influence of smoke on the insulation of transmission lines, designs a smoke test plan, conducts an experimental study on the influence of smoke on the air insulation characteristics of transmission lines, and verifies the smoke concentration on single-phase, three-phase and inter-phase insulation through experiments. The influence of character-This article judges whether it has an influence on the insulation characteristics of transmission lines by observing the relative leakage current of smoke. The effect of smoke on the breakdown voltage was verified through experiments. Through comparative experiments at different temperatures, it was studied whether mountain fire smoke would affect the air insulation characteristics. Experimental studies have shown that pure smoke has little effect on the insulation characteristics of transmission lines. © 2021 IEEE.

关键词： Electric lines

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：