Showing 50 of 1495 papers

Research on the Design of Primary School Interior Renovation Projects (Postprint)

Zhao Qi
2025-08-04 ChinaXiv:chinaxiv-202508.00207

With the rapid development of society, the transformation of educational concepts has emphasized a student-centered approach, with greater attention paid to students' individual development and innovative capabilities. In contemporary teaching space design, relatively more focus is placed on the ext…

Postprint: Seismic Stability Analysis of a Tailings Pond

Wang Meng
2025-08-04 ChinaXiv:chinaxiv-202508.00213

Tailings dams constitute major hazard sources for metal and non-metal mines, and red mud represents a strongly alkaline tailing discharged during alumina extraction processes. In recent years, the number of tailings dams has been continuously increasing, with earthquakes serving as critical factors …

Stress Distribution Characteristics of Retaining Walls at Different Rotation Points (Postprint)

Luriel, Liu Zhijun, Sun Guanhua, Haokun Shen, Lu Yingfa
2025-08-04 ChinaXiv:chinaxiv-202508.00180

Based on the characteristics of small deformation theory, a new method for stability analysis of slope retaining walls under different rotation axis conditions is proposed (small deformation theory solution). For the slope body: based on the stress distribution satisfying the stress equilibrium diff…

Postprint: Study on In-situ Mechanical Properties of Tuff Rock Mass

Tang Aisong, Wang Yongsheng, Yao Shaoqiang
2025-08-04 ChinaXiv:chinaxiv-202508.00182

As a pyroclastic rock, tuff finds extensive application in construction and engineering due to its dense structure, high compressive strength, and excellent durability. This study investigates the in-situ mechanical properties of tuff from sites in Shunxi (Zhejiang), Fushun (Liaoning), and Emin (Xin…

Postprint: Video Features and Intelligent Recognition Methods for Water Inrush in the Yunnan Wangjiazhai Tunnel

Dang Shengshuo, Ding Wenqi, Zhang Qingzhao, Wang Qiushi, Tang Jixiang
2025-08-04 ChinaXiv:chinaxiv-202508.00181

Taking the water inrush event in the Wangjiazhai semi-lithified tunnel in Yunnan as the engineering background, this study analyzes the video characteristics throughout the entire water inrush process, selects a deep learning model suitable for identifying tunnel water inrush features, and utilizes …

Postprint: Research on Tunnel Segment Layout Technology Based on Intelligent Optimization Methods

Cui Zhuoyu, Ding Wenqi, Shen Yude, Tang Jixiang, Ma Chang
2025-08-04 ChinaXiv:chinaxiv-202508.00184

Segment assembly, as a crucial procedure in shield tunneling construction, renders segment layout technology of significant importance for tunneling projects. Currently, layout techniques relying on designers' experience and traditional mathematical formulas exhibit low precision and efficiency. To …

Postprint of Research on High-Pressure Water-Abrasive Coupled Jet Rock Breaking Technology and In-Situ Sample Preparation Device

Du Weizhang, Cheng Peiming, Zhao Shunli, Yang Yu, Guo Chong
2025-08-04 ChinaXiv:chinaxiv-202508.00185

To address the issues of harsh working environments, low efficiency for technicians, and insufficient adaptability to complex geological conditions in traditional rock mass in-situ test specimen preparation, this paper proposes an in-situ specimen preparation device based on high-pressure water-abra…

Improving the MCUCN Code to Simulate Ultracold Neutron Storage and Transport in Superfluid 4He

Xuefen Han, Shen Fei, Zhou Bin, Cai Xiaoxiao, Yi Tiancheng, Hu Zhiliang, Wang Songlin, Liang Tianjiao, Robert Golub, Liang Tianjiao
2025-08-04 ChinaXiv:chinaxiv-202508.00020

The ultracold neutron (UCN) transport code, MCUCN, designed initially for simulating UCN transportation from a solid deuterium ($\rm SD_{2}$) source and neutron electric dipole moment experiments, could not simulate UCN storage and transportation in a superfluid $\rm{^{4}{He}}$ (SFHe, He II) source …

Research on High Temporal Resolution Beam Loss Monitoring Technology at Hefei Light Source

Liu Yihong, Xiao Yunzhi, Yu Lingda, Yang Xing, Ma Xiaochao, Leng Yongbin
2025-08-03 ChinaXiv:chinaxiv-202508.00080

To monitor and analyze the beam loss characteristics during Hefei Light Source operation, a high-time-resolution synchronous monitoring system for beam loss and bunch position was developed based on a scintillator detector, strip-electrode beam position monitor (Beam Position Monitor, BPM), and high…

Application of Deep Learning to Crack Segmentation in Neutron CT Images of Ancient Writing Knives

Li, Mr. Jiancong, wang, Dr. Shengxiang, Shu, Mr. Xin, Dong, Le, Dr. Yong Lei, Chen, Prof. Jie, wang, Dr. Shengxiang
2025-08-03 ChinaXiv:chinaxiv-202508.00015

Neutron CT imaging offers unique advantages in metal defect detection and cultural relic analysis, particularly for exploring internal structures of ancient artifacts like writing knives, due to its high penetrability and hydrogen sensitivity. Accurate segmentation of its images is critical for defe…

Neutron/X-ray Dual-Modality Imaging at ERNI: A Case Study on Cultured Pearls

Shu, Xin, wang, Dr. Shengxiang, Chen, Prof. Jie, Dr. Xin Ge, Li, Jiancong, Dong, Le, wang, Dr. Shengxiang
2025-08-03 ChinaXiv:chinaxiv-202508.00016

X-ray and neutron computed tomography (CT) are widely used for non-destructive characterization of internal structures. Their distinct contrast mechanisms, arised from different interactions with matter, can enhance structural analysis when combined. Dual-modality imaging integrating both techniques…

The Impact of Marriage on the Developmental Trajectory of Life Satisfaction in Early Adulthood: A Ten-Year Longitudinal Study Based on CFPS

Peng Wang, Yan Ping, Zhou Yaping, Xiang Yanhui, Xiang Yanhui
2025-08-02 ChinaXiv:chinaxiv-202508.00005

Does marriage alter the developmental trajectory of individuals' life satisfaction? This is both a major issue concerning national harmony and stability, and an important question regarding individual quality of life. Based on hedonic adaptation theory and the buffer model, this study utilizes six-w…

Numerical Study on Powder Migration and Clogging Mechanism in Pebble Beds with Purge Gas

Cui,Xuetao, Wu,Qigang, Wang, Jian, Lei,Mingzhun, Song,Yuntao, Cui, Xuetao
2025-08-02 ChinaXiv:chinaxiv-202508.00017

Objective: As the primary functional component of a fusion reactor, the fusion blanket pebble bed, composed of numerous particles, is crucial for tritium breeding, neutron multiplication, and radiation shielding. Particles within tritium-breeding pebble beds are subjected to prolonged neutron irradi…

Contextual Prediction in Chinese Reading and Its Effect on Lexical Recognition: Fixation-Related Potential Evidence

Liu Zhifang, Feng Ximei, \documentclass[twocolumn]{article} \usepackage[utf8]{inputenc} \usepackage{amsmath} \usepackage{graphicx} \usepackage{CJK} \usepackage[numbers]{natbib} \title{Research on Image Classification Methods Based on Deep Learning} \author{Zhang San \\ School of Computer Science and Technology \\ Peking University} \date{\today} \begin{document} \begin{CJK}{UTF8}{gbsn} \maketitle \begin{abstract} This paper studies image classification methods based on deep learning. It first introduces the fundamental principles and commonly used models of deep learning, and then focuses on analyzing the application of convolutional neural networks in image classification tasks. Experimental results demonstrate that the proposed method achieves 92.5\% accuracy on the CIFAR-10 dataset, outperforming traditional machine learning methods. \end{abstract} \keywords{deep learning, image classification, convolutional neural network} \section{Introduction} With the rapid development of artificial intelligence technology, machine learning has become an important research direction in the field of computer science. In particular, breakthroughs in deep learning technology in recent years have led to significant progress in tasks such as image classification, speech recognition, and natural language processing. This paper will focus on exploring the application of deep learning in image classification. \section{Related Work} Traditional image classification methods mainly rely on hand-crafted feature extractors, such as SIFT\cite{lowe2004distinctive} and HOG\cite{dalal2005histograms}. These methods require domain expert knowledge and have limited generalization capabilities. In contrast, deep learning methods can automatically learn hierarchical feature representations, significantly improving classification performance. \section{Deep Learning Methods} \subsection{Convolutional Neural Networks} Convolutional Neural Networks (CNN) are a type of deep learning model specifically designed for processing data with grid-like structures. They extract image features through a combination of convolutional layers, pooling layers, and fully connected layers. Convolutional layers perform convolution operations on the input using learnable filters, while pooling layers are used to reduce feature dimensions. \subsection{Residual Networks} Residual Networks (ResNet) solve the vanishing gradient problem in training deep networks by introducing skip connections. This structure enables the network to learn residual mappings, thereby allowing the training of deeper network architectures. ResNet achieved breakthrough results in the ImageNet Large Scale Visual Recognition Challenge. \section{Experimental Setup} We evaluated the proposed method on the CIFAR-10 dataset. This dataset contains 60,000 32×32 color images divided into 10 categories. We used 50,000 images for training and 10,000 images for testing. The experiments were implemented using the PyTorch framework and trained on an NVIDIA Tesla V100 GPU. \section{Experimental Results} As shown in Table\ref{tab:results}, our method achieved 92.5\% accuracy on the test set. Figure\ref{fig:confusion_matrix} shows the confusion matrix, which demonstrates that the model performs relatively balanced across all categories. Compared with the baseline method, the accuracy improved by 5.2 percentage points. \begin{table}[h] \centering \caption{Performance Comparison of Different Methods} \label{tab:results} \begin{tabular}{lc} \hline Method & Accuracy(\%) \\ \hline Traditional machine learning method & 87.3 \\ Deep learning method & 92.5 \\ \hline \end{tabular} \end{table} \section{Conclusion} This paper proposes an image classification method based on deep learning and validates its effectiveness on the CIFAR-10 dataset. Experimental results demonstrate that deep learning methods have significant advantages in image classification tasks. Future work will explore more efficient model architectures and training strategies. \bibliographystyle{plain} \bibliography{references} \end{CJK} \end{document}, Liu Zhifang
2025-08-01 ChinaXiv:chinaxiv-202508.00003

This study utilized the fixation-related potential technique to examine predictive processing in Chinese reading and the cognitive mechanisms underlying its influence on lexical recognition effects. Analyses of eye movement and electroencephalographic (EEG) data in the pre-target and target word reg…

Polarization-analyzed small-angle neutron scattering with an in-situ 3He neutron spin filter at the China Spallation Neutron Source

Tian, Dr. Long, Gao, Dr. Han, Prof. Tianhao Wang, Teng, Mr. Haiyun, tang, Dr. jian, Zheng Qingbo, Zuo, Dr. Taisen, Tengfei Cui, Ph.D., Bin Wang, xu, Mr. Qin, Qiu, Mr. Yongxiang, Yuchen Dong, Zheng, Yujie, Qin, Dr. Zecong, Han, Dr. Zehua, Zhang, Dr. Junpei 张俊佩, Cheng, Dr. He, Prof. Xin Tong (童欣), Prof. Xin Tong
2025-08-01 ChinaXiv:chinaxiv-202508.00018

Polarization-analyzed small-angle neutron scattering (PASANS) is an advanced technique that enables the selective investigation of magnetic scattering phenomena in magnetic materials and distinguishing coherent scattering obscured by an incoherent background, making it particularly valuable for cutt…

Postprint: Analysis of Trends in Disease Burden of Hearing Loss Among Middle-aged and Older Adults in China, 1990-2021

Zhang Yongqing, Li Na, Gao Yili, Qin Jiawen, Yu Haiping, Shi Hui, Shi Hui
2025-08-01 ChinaXiv:chinaxiv-202508.00095

Background Hearing loss is a common health issue among middle-aged and elderly individuals, affecting quality of life and social interaction, and is associated with the risk of cognitive decline. In recent years, population aging in China has intensified, with the proportion of middle-aged and elder…

Postprint: Analysis of Osteoporosis Diagnosis and Treatment Capacity in Shanghai Community Health Service Institutions

Zhang Hanzhi, Jinhua, Ma Le, Shi Ling, Chen Chen, Huan Hongmei, Yu Dehua, Yu Dehua
2025-08-01 ChinaXiv:chinaxiv-202508.00096

Background The diagnostic and therapeutic capacity for osteoporosis in Shanghai's community health service institutions remains unclear, lacking systematic evaluation and monitoring. Objective To understand the current status of osteoporosis diagnosis, treatment, and management in Shanghai's communi…

Strain-related phenomena in GaN epilayers under MeV inert-gas ions irradiation

Liqing Zhang, Liqing Zhang
2025-08-01 ChinaXiv:chinaxiv-202508.00022

Single crystal GaN epilayers were irradiated with heavy inert-gas ions (2.3-MeV Ne8+, 5.3-MeV Kr19+) to fluences ranging from 1.0×1011 to 1.0×1015 ions/cm2. The strain-related damage accumulation versus ion fluences was studied by using a high-resolution X-ray diffractometer (HRXRD) and an ultraviol…

Threat Stimuli Facilitate Learned Distractor Suppression Based on Location Probability

Nian Jingqing, Tan Jiang, Zhang Di, Zhang Yu, Luo Yu, Luo Yu
2025-08-01 ChinaXiv:chinaxiv-202508.00001

Threat stimuli possess strong priority in attentional processing, yet whether they facilitate or interfere with the formation of learned distractor inhibition remains unclear. This study examined the influence of threat stimuli on the formation of location-probability-based learned distractor inhibi…

Development of an omnidirectional Compton camera with enhanced energy resolution for radioactive source localization

Xin-Yu Yang, Yang, Dr. Jian, Zeng, Dr. GQ, Deng, Mr. Haowen, Tian, Chengshuai, HU, Dr. Chuan-hao, Yang, Dr. Jian
2025-07-31 ChinaXiv:chinaxiv-202508.00021

Abstract: For radioactive source localization, traditional Compton cameras are limited by the imaging field of view and low detection efficiency, resulting in slow response in complex environments. To address the limitations in the azimuthal sensitivity of conventional dual-layer scintillator detect…

Probing the Collision Geometry via Two-Photon Processes in Heavy-Ion Collisions

Mr. Jiaxuan Luo, Li, Mr. Xinbai, Dr. Zebo Tang, Wu, Xin, Prof. Shuai Yang, Zha, Dr. Wangmei, Zhang, Zhan, Dr. Wangmei Zha
2025-07-31 ChinaXiv:chinaxiv-202508.00023

The initial collision geometry, including the reaction plane, is crucial for interpreting collective phenomena in relativistic heavy-ion collisions, yet it remains experimentally inaccessible through conventional measurements. Recent studies propose utilizing photon-induced processes as a direct pro…

Comparative Study of Total Ionizing Dose Effects in sub-20 nm Bulk Silicon FinFET Technology at 110 K and 290 K

Mr. Huibin Pi, Dr. Longsheng Wu, Luo, Dr. Deng, Yu, Dr. Guofang, Zheng, Qiwen, Wang, Dr. Xin, Liu, Dr. Xiaonian, Dr. Wangyong Chen, Dr. Longsheng Wu
2025-07-31 ChinaXiv:chinaxiv-202508.00024

This study investigates the synergistic effects of cryogenic temperatures and radiation exposure on aerospace components. Test chips were fabricated using a sub-20 nm bulk silicon FinFET process, primarily comprising ring oscillators and bandgap reference (BGR) circuits that incorporate parasitic ve…

An Image Noise Level Estimation Based on Tensor T-Product

Hanxin Liu, Yisheng Song, Yisheng Song
2025-07-31 ChinaXiv:chinaxiv-202508.00169

The image noise level indicates the degree to which an image is contaminated by noise, serving as a crucial parameter in image processing. For the third-order tensor corresponding to a color image, traditional methods for estimating the noise level disrupt the data structure of the tensor. To addres…

Performance study of a prototype readout electronics for the time-of-flight detectors of HIAF-HFRS facility

Wen, Mr. Shihai, Mr. She Qianshun, Kong, Dr. Jie, Dr. Kailong Wang, An, Yilang, Yang, Mr. Zuoqiao, Dr. Jun-Wei Yan, Qian, Dr. Yi, Yu, Dr. Yuhong, Dr. Guangshun Li, Prof. Zhiyu Sun, Dr. Jie Kong
2025-07-31 ChinaXiv:chinaxiv-202508.00025

In the High Energy FRagment Separator (HFRS) at the High Intensity heavy-ion Accelerator Facility, plastic scintillation detectors are used for high-precision time-of-flight (ToF) measurements to identify the secondary ions from the reaction between the primary beam and the target. During the day-on…

Transient Safety Characteristics of Lithium-Cooled Fast Reactor Stirling Thermoelectric Conversion System

Zeng Rongtian, Shan Jianqiang, Ge Li, Wang Jianwei, Wu Pan
2025-07-30 ChinaXiv:chinaxiv-202508.00081

To investigate the safety and reliability of space nuclear power systems, a transient safety analysis code NUSOL-LMR-Li was developed for the lithium-cooled fast reactor Stirling thermoelectric conversion system, focusing on analyzing its inherent safety under accident conditions and the adaptive ch…

Postprint: Application of FDEM in Blasting-Induced Rock Fragmentation in Jointed Rock Masses

Xu Chenyu, Hu Yingguo, Li Peng, Liu Meishan, Li Gengquan
2025-07-30 ChinaXiv:chinaxiv-202508.00097

The Finite-Discrete Element Method (FDEM) is an advanced numerical computational method highly suitable for simulating the complete process of rock blasting and fracture. Considering that intact rock masses contain numerous joint surfaces, this study introduces a realistic joint constitutive model t…

Theoretical Methods for Rockburst Prevention and Control Based on Prestressed Elliptical Tunnels with Optimal Axial Ratio (Postprint)

Zhang Boyi, Zhao Chengqianyuan, Sun Zeyuan, Xing Jinquan, Luo Yinfeng, Luo Qinyuan
2025-07-30 ChinaXiv:chinaxiv-202508.00098

Rockburst, as a serious geological hazard, frequently poses significant threats to tunnel stability and construction safety. Traditional circular tunnels under non-hydrostatic pressure conditions readily form localized stress concentration zones in the surrounding rock mass, which can easily trigger…

Postprint: Model Test Study on Electromagnetic Control of Unstable Rock Stability Based on Natural Vibration Frequency

Zhang Minrui, Kong Deheng, Xiao Feizhi, Li Bo
2025-07-30 ChinaXiv:chinaxiv-202508.00099

Rockfall disasters along highway slopes in China are characterized by wide distribution, high frequency, and sudden occurrence, presenting a challenge for prevention and control efforts due to the lack of reliable early warning indicators. This study innovatively proposes an electromagnetically cont…

GPU-Based Parallel Solution of Large-Scale Finite Element Sparse Matrices (Postprint)

Zhou Qinglong, Lin Wancang
2025-07-30 ChinaXiv:chinaxiv-202508.00100

Currently, high-performance computing for large-scale finite element methods primarily relies on parallel computing with multi-CPU computer clusters, which incurs high computational costs and offers limited improvements in computational efficiency. Based on the advantages of current state-of-the-art…

PhysAgent: A Multi-Agent Approach to Automated Discovery of Physical Laws

Xiao-Qi Han, Ze-Feng Gao, Zhong-Yi Lu, Peng-Jie Guo, Ze-Feng Gao, Zhong-Yi Lu
2025-07-30 ChinaXiv:chinaxiv-202508.00189

The discovery of physical laws has traditionally relied on human intuition, analytical reasoning, and experimental observation. However, modern physics research is increasingly constrained by numerous challenges, such as high specialization, fragmented workflows, and limited computational resources,…

Delayed Gamma Dose Field of Fission Products Under Shock Wave Influence

Hu Jiaqi, Shang Peng, Zhu Jinhui, Zuo Yinghong, Liu Li, Niu Shengli, Wang Xuedong
2025-07-29 ChinaXiv:chinaxiv-202508.00082

Severe nuclear accidents (such as severe reactor accidents and terrorist attacks involving radioactive materials) are typically accompanied by violent explosions, and the air surrounding the leaked fission products will inevitably be disturbed by shock waves. To reasonably assess the delayed nuclear…

Research and Development Status of Mobile Hot Cells at Home and Abroad

Zhu Haoyuan, Wang Huacai
2025-07-29 ChinaXiv:chinaxiv-202508.00083

Mobile hot cell is a radioactive material handling facility that can be transported integrally and rapidly reassembled at the target site, which addresses the issues of poor flexibility and mobility inherent in traditional fixed hot cells through modular design. With the development of the nuclear i…

Development of a compact X-band dual-mode medical linac based on a pulse compressor

Dr. Haipeng Zhi, Prof. Jiaru Shi (Accelerator), Zha, Dr. Hao, Dr. Jian Gao, Gao, Dr. Qiang, Chen, Dr. Huaibi, Shi (Accelerator), Prof. Jiaru Shi Jiaru
2025-07-29 ChinaXiv:chinaxiv-202508.00026

In this study, a compact X-band dual-mode electron linear accelerator (linac) was developed for medical radiotherapy applications, which is capable of generating both 100 mA / 6 MeV beams for X-ray radiotherapy (low-energy mode) and 10 mA / 13.5 MeV beams for electron radiotherapy (high-energy mode)…

Theoretical Analysis and Numerical Simulation of Surrounding Rock Damage under Bench Blasting in Top Heading of Tunnel Engineering: Postprint

Zhang Lei
2025-07-29 ChinaXiv:chinaxiv-202508.00103

To thoroughly investigate the degree of surrounding rock damage during the bench blasting process in tunnel engineering, this study takes a certain Grade II surrounding rock as an example, starting from the mechanism of crack generation in a single blasthole, exploring the interaction mechanism betw…