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2020 International Conference on Data Processing Algorithms and Models, ICDPAM 2020

作者： Wang, Tang Li, Fei Ge, Liangquan Zeng, Guoqiang Zhang, Qingxian Gu, Yi College of Nuclear Technology and Automation Engineering Chengdu University of Technology China Mechanical Engineering Southwest Jiaotong University China Applied Nuclear Technology in Geosciences Key Laboratory of Sichuan Province China

In order to alleviate the energy crisis and improve environmental quality, rational use of renewable energy has become a development trend. This paper proposes a research on the new energy micro-grid operation strategy, and selects the appropriate power generation method according to the development status of each distributed energy in the microgrid. Specially establish the biomass power generation, photovoltaic power generation, wind power generation and storage battery models of the micro-grid, and infer the power generation output characteristics according to the power generation characteristics of each module. A brief analysis of the micro-grid model containing biomass power generation established in the article is carried out, and the basic operation strategy of the micro-grid is proposed, which provides a theoretical basis for the development of the micro-grid in the future. © Published under licence by IOP Publishing Ltd.

关键词： Wind power

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Analysis of influencing factors and teaching reform of nuclear professional English based on logistic regression

Analysis of influencing factors and teaching reform of nucle...

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2020 International Conference on Data Processing Algorithms and Models, ICDPAM 2020

作者： Wang, Jiamei Ge, Liangquan Li, Fei Liu, Xiaohui Zeng, Guoqiang He, Xingjie College of Nuclear Technology and Automation Engineering Chengdu University of Technology China Mechanical Engineering Southwest Jiaotong University China Applied Nuclear Technology in Geosciences Key Laboratory of Sichuan Province China

nuclear professional English course can help students of nuclear energy engineering major to understand the corresponding course content accurately and effectively while learning and researching frontier topics. This course has an important guiding role for their future development. This experiment obtained a series of data from students who had completed the course by questionnaire survey, and logistic regression algorithm was used to analyse the influencing factors of professional English test, then obtained the P value. The significant relationship between the independent variable and the dependent variable can be seen from the P value, thus reflecting the problems existing in the current course. The odds ratio (OR value) value of 0.030 is the biggest influence on the passing rate of the examination factor. In the questionnaire survey on the distribution of students' intention, 96.25% of the students hope to have a new teaching mode, while 38.10% of the students do not take the initiative to read English books. © Published under licence by IOP Publishing Ltd.

关键词： Students

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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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Optimization strategies for online courses in Chinese universities during COVID-19 pandemic

Optimization strategies for online courses in Chinese univer...

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2020 International Conference on Data Processing Algorithms and Models, ICDPAM 2020

作者： Zheng, Haodi Li, Fei Ge, Liangquan Zhang, Qingxian Gu, Yi Gu, Zhixing College of Nuclear Technology and Automation Engineering Chengdu University of Technology China Mechanical Engineering Southwest Jiaotong University China Applied Nuclear Technology in Geosciences Key Laboratory of Sichuan Province China

During the COVID-19 pandemic, Chinese colleges and universities have online courses all over the country, but there is no definitive model for evaluating the effect of online course education. In addition, most domestic universities analyze the factors that affect online courses from a qualitative perspective, and there are fewer reasonable mathematical models. This paper uses the Logistic model to establish a multiple model between college students' online course learning conditions and various influencing factors, and uses a questionnaire survey to analyze the learning status of Chengdu University of technology students who have taken online courses during the epidemic. Comparison of forecasts. It provides a reference for improving the online learning management system and improving students' online learning level in the future. © Published under licence by IOP Publishing Ltd.

关键词： COVID-19

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Study on gamma spectrum wavelet noise reduction based on scintillation detector

Study on gamma spectrum wavelet noise reduction based on sci...

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

作者： Yu, Yingchi Ge, Liangquan Li, Fei Hu, Chuanhao College of Nuclear Technology and Automation Engineering Chengdu University of Technology China Applied Nuclear Technology in Geosciences Key Laboratory of Sichuan Province China

Wavelet transform is a time-scale signal analysis method, which holds the characteristics of the same window size, arbitrary shape change and multi-resolution analysis. Most applications of wavelet transform need to be based on signal decomposition and reconstruction, that is, through the combination of low-pass and high-pass filters to achieve frequency division, the signal is decomposed into signal detail components and large-scale approximate components. In the measurement process of the original energy spectrum data, the denoting process plays a role in reducing the incidence of statistical fluctuations to a certain extent, which is of profound significance to improve the data accuracy. In this paper, wavelet transform is used as the theoretical basis to denoise the actual energy spectrum, at the same time based on the MATLAB platform, simulation of signal with noise, using the different parameters on the signal processing. Firstly, the signal-to-noise ratio (SNR) of the hard and soft thresholds to the signal processing under the same conditions was compared, and then the change of the SNR was observed when the number of decomposition layers was changed under the wavelet basis of db3 (soft threshold). The experimental results show that: 1) under the same conditions, the soft threshold method has higher SNR than hard threshold;2) The number of decomposition layers and the elimination moment affect the signal-to-noise ratio and smoothness of the processed signal respectively, and when the number of decomposition layers is 7-8 layers, the signal-to-noise ratio is about 29, the signal processing effect is the best. This study has shown that Wavelet method is an effective way to process energy spectrum. © Published under licence by IOP Publishing Ltd.

关键词： Signal to noise ratio

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Extension of Maxwell's equations for non-stationary magnetic fluids using gauss's divergence theorem

Results in Engineering

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Results in engineering 2025年 26卷

作者： Bouzidi, Mohammed NASRI, Abdelfatah Rahmoune, Mohamed Ben Hafsi, Oussama Aeggegn, Dessalegn Bitew Ghoneim, Sherif S. M. Ali, Enas Ghaly, Ramy N. R. Department of Sciences and Technology University of Tamanghasset Sersouf P.O. Box 10034 Tamanghasset11001 Algeria Energy and Materials Laboratory University of Tamanghasset Sersouf P.O. Box 10034 Tamanghasset11001 Algeria Laboratory Smart Grid and Renewable Energy SGRE University Tahri Mohamed Bechar Algeria Algeria Applied Automation and Industrial Diagnostics Laboratory Faculty of Science and Technology University of Djelfa DZ 17000 Algeria DDI Laboratory Ahmed Draia University Adrar01000 Algeria Department of Electrical and Computer Engineering Debre Markos University Debre Markos269 Ethiopia Department of Electrical Engineering College of Engineering Taif University Taif21944 Saudi Arabia University Centre for Research and Development Chandigarh University Punjab Mohali140413 India Faculty of Engineering and Technology Future University in Egypt New Cairo11835 Egypt Ministry of Higher Education & Scientific Research Industrial Technical Institute-Mataria Technical College Cairo11718 Egypt Centre for Research Impact & Outcome Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura140401 India

The work presented in this paper focuses on formulating the development of time-dependent electromagnetic field laws through the application of Gauss's divergence theorem. The first part of the discussion looks at the basic ideas of electromagnetism. It focuses on how classical formulations of the laws of electromagnetism can be adapted to account for non-stationary conditions, especially regarding magnetic fluids that don't conduct electricity. It is suggested that employing Gauss's divergence theorem could help improve the computational analysis of these generalized equations, which would make them more useful in magnetic fluid dynamics. The paper examines the intricate interactions between non-conductive particles and conductive fluids under magnetic fields. By putting these interactions into a single theoretical framework, this work aims to help us understand non-stationary electromagnetic phenomena and how they affect many different scientific and engineering fields. The concluding section of the study examines the prospective practical applications of these extended equations. They could enable the development of more advanced electromagnetic devices and systems. Creating a strong set of analytical tools that can find new scientific paths and useful applications is the main goal of the study, particularly in the areas of electromagnetic induction and fluid dynamics. This research offers potential for substantial progress in both theoretical comprehension and technological advancement, The proposed method is applicable to real-world systems such as ferrofluid-based cooling, magnetic dampers, plasma generators, and smart electromagnetic devices. These applications demonstrate the practical benefits of coupling field behavior with boundary dynamics using Gauss's theorem. © 2025

关键词： Electromagnetic induction

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Spectral data processing based on maximum noise fraction

Spectral data processing based on maximum noise fraction

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

作者： Guo, Wentai Ge, Liangquan Li, Fei Hu, Chuanhao College of Nuclear Technology and Automation Engineering Chengdu University of Technology China Applied Nuclear Technology in Geosciences Key Laboratory of Sichuan Province China

The processing of gamma spectrum measurement data has always been an important step in data interpretation of the survey area. It includes the correction of radioactivity interference caused by non-measuring targets, the correction of effects caused by different heights or topography in the survey environment, the smoothness and denoising of the measurement spectrum, etc. The accuracy of each step will affect the final data resources. The interpretation of the materials results in inaccurate regional radioactivity assessment. Maximum noise separation transformation is a similar method to principal component transformation, which is used to reduce dimensionality and noise of data. This paper takes the noise reduction process of gamma spectrum data processing as the research direction, uses SPSS data processing software, combines with MATLAB to denoise the data, and uses the maximum noise separation transformation as the denoising method, applies it to denoise the spectral data, and uses the principal component analysis method and the maximum noise fraction method to denoise the same set of data separately. After analysis, it is concluded that the maximum noise fraction method is superior to principal component analysis when there is a large noise variance for a set of data. © Published under licence by IOP Publishing Ltd.

关键词： Spectrum analysis

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Implementation of digital constant fraction timing based on field programmable gate array

Implementation of digital constant fraction timing based on ...

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

作者： Ding, Wenwan Hu, Chuanhao Cao, Yang Li, Xuegang Yue, Tao Zhao, Kunling Zhang, Song Zhang, Wenbing Gu, Yi College of Nuclear Technology and Automation Engineering Chengdu University of Technology China Applied Nuclear Technology in Geosciences Key Laboratory of Sichuan Province China

Compared with analog circuits, FPGA(Field Programmable Gate Array) had the advantages of redevelopment and low cost. Compared with MCU, FPGA used hardware description language to construct the circuit, which had the advantages of simple structure and fast parallel operation speed. In this paper, the simulation of digital Constant Fraction Timing can be realized based on FPGA, and the feasibility and accuracy of the design can be proved by using the simulation waveform of Modelsim and the waveform can be captured by signaltap. Modelsim can verify the correctness of the timing between modules, and signaltap can verify the actual running effect of the program on the board. © Published under licence by IOP Publishing Ltd.

关键词： Computer hardware description languages

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A survey of geothermal power generation combined with renewable energy for low carbon emissions

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Clean Energy 2024年第3期8卷 138-146页

作者： Xuyang Liu Dongsheng Cai Chiagoziem CUkwuoma Qi Huang Olusola Bamisile College of Nuclear Technology and Automation Engineering Chengdu University of TechnologyChengduSichuan P.R.China Electrical Engineering Department Southwest University of Science and TechnologyMaiyangSichuan P.R.China

At present,industrial development is heavily dependent on traditional fossil energy,which has had an increasingly serious impact on the *** and renewable energy has received extensive attention and its proportion in daily life has gradually *** a clean and renewable energy source that is not affected by changes in weather and seasons,geothermal energy has developed rapidly in recent years and has received increasing *** to reports,the total installed capacity of geothermal power generation in the world in 2020 was 15950 MW-an increase of~27%over *** the end of 2019,the total installed capacity for global geothermal direct use was 107727 MW-an increase of 52.0%compared with 2015;the total annual energy use was 1020887 TJ(283580 GWh)-an increase of 72.3%over *** the investigation of geothermal power generation technology in recent years,the characteristics and shortcomings of various power generation methods are *** the same time,this review analyzes the characteristics of geothermal energy and other renewable-energy(solar energy,water energy)coupling power generation,and analyzes the principles and characteristics of geothermal energy and various new-energy coupling power generation *** investigation and analysis,this review provides a complete understanding of various geothermal power generation technologies and provides insights into the future development direction.

关键词： geothermal power generation solar energy water energy combined power generation

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Density Functional Theory for the Investigation of Catalytic Activity of X@Cu_(12)(X = Cu, Ni, Co, or Fe) for N_2O Decomposition

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Chinese Journal of Structural Chemistry 2015年第6期34卷 822-836页

作者： YU Wei-Ling ZUO Hui-Wen LU Chun-Hai LI Yi ZHANG Yong-Fan CHEN Wen-Kai Department of Chemistry Fuzhou University College of Nuclear Technology and Automation Engineering Chengdu University of Technology Fujian Provincial Key Laboratory of Theoretical and Computational Chemistry (FTCC) Xiamen University

We have investigated the reaction mechanism for N20 decomposition on Cu13 via density functional theory. It is found that N20 decomposition on the cluster is more prone to be along the Eley-Rideal （ER） pathway in comparison with the Langmuir-Hinshelwood （LH） channel. There exists structural relaxation for Cu13 cluster in the reaction, which may influence the catalytic activity of cluster for the subsequent N2O decomposition. The core atom in the Cu13 cluster is substituted with the Fe, Co, or Ni to enhance structural stability and prevent from the obvious configuration relaxation in the reaction. Note that these bimetallic clusters are of icosahedra as the Cu13. They have activities for N2O dissociation along ER pathway and the heteroatorn in the cluster can prevent configuration from relaxation. Finally, the Ni@Cu12 cluster can be as a superior catalyst in a complete catalytic cycle via comparison in this study.

关键词： bimetallic cluster reaction mechanism catalytic activity nitrous oxide decomposition structural relaxation

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