检索结果-内蒙古大学图书馆

arXiv 2022年

作者： Xu, R. Yang, Litao T. Yue, Q. Kang, K.J. Li, Y.J. Agartioglu, M. An, H.P. Chang, J.P. Chen, Y.H. Cheng, J.P. Dai, W.H. Deng, Z. Fang, C.H. Geng, X.P. Gong, H. Guo, X.Y. Guo, Q.J. He, L. He, S.M. Hu, J.W. Huang, H.X. Huang, T.C. Jia, H.T. Jiang, X. Li, H.B. Li, J.M. Li, J. Li, Q.Y. Li, R.M.J. Li, X.Q. Li, Y.L. Liang, Y.F. Liao, B. Lin, F.K. Lin, S.T. Liu, S.K. Liu, Y. Liu, Y.D. Liu, Y.Y. Liu, Z.Z. Ma, H. Mao, Y.C. Nie, Q.Y. Ning, J.H. Pan, H. Qi, N.C. Ren, J. Ruan, X.C. Saraswat, K. Sharma, V. She, Z. Singh, M.K. Sun, T.X. Tang, C.J. Tang, W.Y. Tian, Y. Wang, G.F. Wang, L. Wang, Q. Wang, Y. Wang, Y.X. Wong, H.T. Wu, S.Y. Wu, Y.C. Xing, H.Y. Xu, Y. Xue, T. Yan, Y.L. Yeh, C.H. Yi, N. Yu, C.X. Yu, H.J. Yue, J.F. Zeng, M. Zeng, Z. Zhang, B.T. Zhang, F.S. Zhang, L. Zhang, Z.H. Zhang, Z.Y. Zhao, K.K. Zhao, M.G. Zhou, J.F. Zhou, Z.Y. Zhu, J.J. Department of Engineering Physics Tsinghua University Beijing100084 China Institute of Physics Academia Sinica Taipei11529 Taiwan Department of Physics Tsinghua University Beijing100084 China NUCTECH Company Beijing100084 China YaLong River Hydropower Development Company Chengdu610051 China College of Nuclear Science and Technology Beijing Normal University Beijing100875 China College of Physics Sichuan University Chengdu610065 China School of Physics Peking University Beijing100871 China Department of Nuclear Physics China Institute of Atomic Energy Beijing102413 China Sino-French Institute of Nuclear and Technology Sun Yat-Sen University Zhuhai519082 China School of Physics Nankai University Tianjin300071 China Department of Physics Banaras Hindu University Varanasi221005 India Department of Physics Beijing Normal University Beijing100875 China

We present new constraints on light dark matter boosted by cosmic rays (CRDM) using the 205.4 kg day data of the CDEX-10 experiment conducted at the China Jinping Underground Laboratory. The Monte Carlo simulation package CJPL ESS was employed to evaluate the Earth shielding effect. Several key factors have been introduced and discussed in our CRDM analysis, including the contributions from heavier CR nuclei than proton and helium, the inhomogeneity of CR distribution, and the impact of the form factor in the Earth attenuation calculation. Our result excludes the dark matter–nucleon elastic scattering cross section region from 1.7 × 10-30 to 10-26 cm2 for dark matter of 10 keV/c2 to 1 GeV/c2 Copyright © 2022, The Authors. All rights reserved.

关键词： Monte Carlo methods

来源：评论

学校读者我要写书评

暂无评论

Research on restoration method of nuclear pulse current signal of semiconductor detector based on artificial neural networks

引用

Journal of Physics: Conference Series 2021年第1期2132卷

作者： Zhang Qin ZhangJian Qin JingLong Zhang XinTe Qi Mechanical and Electrical Engineering Chengdu University of Technology Chengdu Sichuan Province 610059 China Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu Sichuan Province 610059 China

The charge pulse generated by semiconductor detector caused by nuclear event carries nuclide and nuclear reaction information, but the amplified charge pulse amplitude is obviously weak and the noise is so large. Aiming at the difficulty of obtaining the charge signal pulse generated by the detector, a method for recovering the nuclear pulse current signal of semiconductor detector is proposed. Pulse recovery is divided into two parts: pulse shape recovery and pulse amplitude recovery. Point at the pulse shape, a shape recognition network of nuclear pulse current signal based on deep learning is proposed. For pulse amplitude,it can be obtained by Mexican straw hat wavelet forming algorithm. This algorithm can eliminate the baseline fluctuation caused by pulse stacking. The proposed shape recognition network of nuclear pulse current signal is composed of classifier and regressor. The classifier is used to judge whether the data contains a complete rising edge. The data containing the complete rising edge is sent to the regressor for prediction, so as to obtain the parameters related to the current pulse shape. The precision, recall and F-Measure of the classifier in classifying the test set are 98.88%, 98.05% and 98.33%, respectively. The average absolute error of the regressor in predicting the parameters related to the current pulse shape is about 9 ns. The experimental results show that the proposed method can recover the shape and amplitude of the current signal.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Data Mining and Business Intelligence in SME Customer Relationship Value Analysis

Data Mining and Business Intelligence in SME Customer Relati...

引用

International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM)

作者： Siyuan Jia Minming Pan Wenlong Sun Harubwira Nyampinga Joyce Yan Wang Wenfeng Zheng Shanghai Urban Construction Vocational College Shanghai China The Indiana University Kelley School of Business Bloomington IN USA Accounting School Shanghai University of International Business and Economics Shanghai China School of Automation Engineering University of Electronic Science and Technology Chengdu China

ISBN: (纸本)9781665417334

As a tool and system, business intelligence plays a vital role in the strategic planning process of a business company. Business intelligence provides companies with functions such as collecting, storing, accessing, and analyzing company data. In the traditional business model, most companies use human resources to track these large amounts of data and information. And business intelligence provides an automated data processing method that significantly improves efficiency. During a customer relationship management service system, a large amount of data will be generated and stored. With this natural data advantage, data analysis has more possibilities in customer relationship management service systems. Based on the business intelligence system, this paper analyzes the data of the customer system. It puts forward the K-means clustering method to analyze the customer quality, the fuzzy set clustering algorithm to examine whether the customer is active. The rough set algorithm to judge to improve the user activity decision analysis. The proposed intelligent business system brings new technical solutions to the maintenance of current corporate customer relationships.

关键词： Clustering methods Clustering algorithms Customer relationship management Rough sets Companies Strategic planning Data models

来源：评论

学校读者我要写书评

暂无评论

Experimental verification of a dual-Gaussian charge diffusion model for pixel sensors with heavy ions

引用

nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 2025年 1077卷

作者： Ran, Hu Wang, Hongkai Zhang, Honglin Sun, Wenchao Yang, Haibo Zhu, Jueqi Deng, Zhicong Zhang, Chuanyu Zhao, Chengxin College of Physics Chengdu University of Technology Chengdu610059 China State Key Laboratory of Heavy Ion Science and Technology Institute of Modern Physics Chinese Academy of Sciences Lanzhou730000 China Department of Radiation Oncology National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing100021 China School of Nuclear Science and Technology University of Chinese Academy of Sciences Beijing100049 China Department of Nuclear Safety and Environmental Engineering Technology China Institute of Atomic Energy Beijing102413 China

The Monolithic Active Pixel Sensor (MAPS), known for its excellent position resolution, has been widely applied in fields such as particle physics, nuclear physics, and radiation imaging. In Monte Carlo simulations, the lack of an analytical model for charge collection and diffusion at the pixel sensor level can often lead to significant deviations between simulation and experimental results. This study proposes a dual-Gaussian charge-diffusion model to describe the charge-diffusion process of heavy-ion particles within a specific range in MAPS pixel sensors. Using the Topmetal−M sensor as a prototype, the dual-Gaussian charge diffusion model was used to simulate the charge diffusion and collection processes of particles 1840Ar and 73181Ta on the sensor via Geant4. The simulation results were compared with the experimental data, producing the necessary fixed parameters for the model (σ1 = 0.04, σ2 = 0.143, ω = 0.926), resulting in high consistency between the model and the experimental data in terms of particle cluster size and charge distribution. This set of parameters was further applied to predict the clustering behavior of the particles 612C, with mean deviations from the experimental results of less than 0.23%. This study provides a theoretical model for the charge diffusion behavior of heavy particles in MAPS, laying the foundation for improved efficiency and accuracy in pixel sensor simulations within Monte Carlo frameworks. The findings have significant implications for the application of pixel sensors in nuclear physics, particle physics, and radiological imaging. © 2025

关键词： Heavy ions

来源：评论

学校读者我要写书评

暂无评论

Design and stability factors analysis of electro-hydraulic driving system for load-sensing electro-hydraulic robot

Design and stability factors analysis of electro-hydraulic d...

引用

2018 International Conference on Manufacturing technology, Materials and Chemical engineering, MTMCE 2018

作者： Zhang, C.Y. Chen, G.Z. Miao, C.W. Zhao, Y.F. Zhong, S. College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China

Aiming at the shortage of electro-hydraulic robot in terms of system fluctuation and response speed compared with electric robot. The static and dynamic characteristics of a load-sensitive electro-hydraulic robot electro-hydraulic driving system are simulated based on AMESim software in this paper. By analysing the static and dynamic characteristics of the system, the theoretical knowledge is combined with the simulation results. The factors that affect the stability of the system are emphatically explored to provide ideas for optimizing and improving the stability of the electro-hydraulic driving system of load-sensitive electro-hydraulic robots. © Published under licence by IOP Publishing Ltd.

关键词： Machine design

来源：评论

学校读者我要写书评

暂无评论

Research on the Effect of Energy Consumption Structure on Carbon Emission Based on LMDI Model

Research on the Effect of Energy Consumption Structure on Ca...

引用

作者： Hao Ma Bin Guo Na Xiang Mingxing Gou Shiyuan Zhang College of Management Science Chengdu University of Technology College of Nuclear Technology and Automation Engineering Chengdu University of Technology College of Business Chengdu University of Technology College of Environment and Civil Engineering Chengdu University of Technology College of Geosciences Chengdu University of Technology

The long-term and extensive economic development mode has a great impact on the environment of Sichuan Province, and the sustainable development of the economy is limited.A prominent problem in the economic development of Sichuan Province is that coal consumption is still high, and energy conservation and emission reduction work faces severe challenges. Adjusting the energy structure plays an important role in reducing carbon emissions and developing a low-carbon *** paper mainly studies the carbon emission coefficient, the per capita carbon emissions of Sichuan Province and the influencing factors of carbon emissions, analyzes the current situation of carbon emissions in Sichuan Province, and calculates the per capita carbon emissions based on the resident population data of Sichuan Province, and then the per capita carbon emissions in Sichuan Province. The quantity is the research object, and the LMDI model is established to comprehensively analyze the effect of energy consumption structure on carbon emissions in Sichuan Province.

关键词： Carbon Emissions Energy Structure LMDI Model

来源：评论

学校读者我要写书评

暂无评论

Study on the influence of the gas superficial velocity on the radon adsorption of activated carbon

Study on the influence of the gas superficial velocity on th...

引用

作者： Meng Wang Yi Gu Fei Li Liangquan Ge Heng Lu Liang Luo College of Nuclear Technology and Automation Engineering Chengdu University of Technology Key Laboratory of Applied Nuclear Techniques in Geosciences Sichuan Chengdu University of Technology Chongqing Jian an Instrument Co Ltd

In order to improve the radon adsorption efficiency of activated carbon and provide a reference for reducing the cost of radon purification,the radon adsorption experiment of activated carbon under different gas superficial velocities under the active adsorption mode was studied to measure the radon adsorption quantity of activated *** radon adsorption quantity of apricot shell activated carbon and coal-based activated carbon did not change significantly with the increase of the gas superficial *** the gas superficial velocity increased from 0.9 cm/s to 2.0 cm/s in turn,the radon adsorption quantity of coconut shell activated carbon did not change *** radon adsorption quantity of coconut shell activated carbon increased first and then decreased when the gas superficial velocity increased from 2.0 cm/s to 3.1 cm/*** the gas superficial velocity was about 2.7 cm/s,the radon adsorption quantity of coconut shell activated carbon reached its peak value.2.7 cm/s can be selected as the optimum gas superficial velocity for the radon adsorption of coconut shell activated carbon.

关键词： net Study on the influence of the gas superficial velocity on the radon adsorption of activated carbon

来源：评论

学校读者我要写书评

暂无评论

Empirical Analysis of the Impact of Energy Consumption on Industrial Structure-Take Sichuan Province, China as an example

Empirical Analysis of the Impact of Energy Consumption on In...

引用

作者： Shiyuan Zhang Mingxing Gou Na Xiang Bin Guo Hao Ma College of Geosciences Chengdu University of Technology College of Business Chengdu University of Technology College of Nuclear Technology and Automation Engineering Chengdu University of Technology College of Environment and Civil Engineering Chengdu University of Technology College of Management Science Chengdu University of Technology

In recent years, the growth rate of GDP in Sichuan Province has continued to exceed the national average, and its economic aggregate has also achieved leapfrog development. This paper combines the data of total energy consumption in Sichuan Province to conduct an empirical analysis of the impact of energy and industrial structure in Sichuan Province, and finally gives policy recommendations. The study found that the continuous increase of carbon emissions in Sichuan Province in recent years is mainly caused by the excessive dependence on coal-based fossil energy development economy. By increasing the ratio of oil and natural gas, the increase of carbon emissions can be effectively reduced.

关键词： Energy Consumption Industrial Structure Empirical Analysis

来源：评论

学校读者我要写书评

暂无评论

Exploring the Influence of IP on Cultural Creative Art Design from the Perspective of Cultural Sociology

Exploring the Influence of IP on Cultural Creative Art Desig...

引用

作者： Shuai Li Shanshan Yi Department of Industrial Design The College of Nuclear Technology and Automation Engineering Chengdu University of Technology

Cultural sociology has important theoretical guiding significance for cultural creative art design and *** China's society entering the important period of innovation-driven development,IP development with certain scale of fans and huge market potential sets off a wave of frenzy in cultural industry,but also spawns countless excellent cultural creative *** paper briefly summarizes the concept of cultural sociology and the relationship between cultural sociology and cultural industry,and analyzes the impact of IP on cultural creative design and the significance and value of cultural sociology in cultural creative art design in combination with some practical cases to provide somewhat basis for relevant researches made in the future.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Determination of responses of liquid xenon to low energy electron and nuclear recoils using a PandaX-Ⅱ detector

引用

Chinese Physics C 2021年第7期45卷 273-282页

作者： Binbin Yan Abdusalam Abdukerim Wei Chen Xun Chen Yunhua Chen Chen Cheng Xiangyi Cui Yingjie Fan Deqing Fang Changbo Fu Mengting Fu Lisheng Geng Karl Giboni Linhui Gu Xuyuan Guo Ke Han Changda He Di Huang Peiyao Huang Yan Huang Yanlin Huang Zhou Huang Xiangdong Ji Yonglin Ju Shuaijie Li Jianglai Liu Zhuoqun Lei Wenbo Ma Yugang Ma Yajun Mao Yue Meng Kaixiang Ni Jinhua Ning Xuyang Ning Xiangxiang Ren Changsong Shang Lin Si Guofang Shen Andi Tan Anqing Wang Hongwei Wang Meng Wang Qiuhong Wang Siguang Wang Wei Wang Xiuli Wang Zhou Wang Mengmeng Wu Shiyong Wu Weihao Wu Jingkai Xia Mengjiao Xiao Pengwei Xie Rui Yan Jijun Yang Yong Yang Chunxu Yu Jumin Yuan Ying Yuan Jianfeng Yue Xinning Zeng Dan Zhang Tao Zhang Li Zhao Qibin Zheng Jifang Zhou Ning Zhou Xiaopeng Zhou School of Physics and Astronomy Shanghai Jiao Tong UniversityMOE Key Laboratory for Particle Astrophysics and CosmologyShanghai Key Laboratory for Particle Physics and CosmologyShanghai 200240China Shanghai Institute of Applied Physics Chinese Academy of SciencesShanghai 201800China Key Laboratory of Nuclear Physics and Ion-beam Application(MOE) Institute of Modern PhysicsFudan UniversityShanghai 200433China Shanghai Jiao Tong University Sichuan Research Institute Chengdu 610213China Yalong River Hydropower Development Company Ltd.288 Shuanglin RoadChengdu 610051China School of Physics Sun Yat-Sen UniversityGuangzhou 510275China Tsung-Dao Lee Institute Shanghai 200240China School of Physics Nankai UniversityTianjin 300071China School of Physics Peking UniversityBeijing 100871China School of Physics Beihang UniversityBeijing 100191China International Research Center for Nuclei and Particles in the Cosmos&Beijing Key Laboratory of Advanced Nuclear Materials and Physics Beihang UniversityBeijing 100191China School of Medical Instrument and Food Engineering University of Shanghai for Science and TechnologyShanghai 200093China Department of Physics University of MarylandCollege ParkMaryland 20742USA School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai 200240China School of Physics and Key Laboratory of Particle Physics and Particle Irradiation(MOE) Shandong UniversityJinan 250100China Shanghai Advanced Research Institute Chinese Academy of SciencesShanghai 201210China Center for High Energy Physics Peking UniversityBeijing 100871China

We present a systematic determination of the responses of PandaX-Ⅱ,a dual phase xenon time projection chamber detector,to low energy *** electron recoil(ER) and nuclear recoil(NR) responses are calibrated,respectively,with injected tritiated methane or 220Rn source,and with 241Am-Be neutron source,in an energy range from 1-25 keV(ER) and 4-80 keV(NR),under the two drift fields,400 and 317 V/*** empirical model is used to fit the light yield and charge yield for both types of *** best fit models can describe the calibration data *** systematic uncertainties of the fitted models are obtained via statistical comparison to the data.

关键词： dark matter liquid xenon time projection chamber calibration electron recoil nucleon recoil NEST2.0

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：