检索结果-内蒙古大学图书馆

Improving seismic performance of welded joints in CFST Truss towers: Effects of concrete fill and ring stiffener configurations

引用

Structures 2025年 77卷

作者： Cao, Yan Zandi, Y. Mohammed, Khidhair Jasim Sadighi Agdas, A. Ali, H. Elhosiny Khadimallah, Mohamed Amine Sadaghdes, Z. Asllzadhe, Hamid School of Computer Science and Engineering Xi'an Technological University Xi'an710021 China School of Mechatronic Engineering Xi'an Technological University Xi'an710021 China Department of Civil Engineering Tabriz Branch Islamic Azad University Tabriz Iran Air Conditioning and Refrigeration Techniques Engineering Department College of Engineering and Technologies Al-Mustaqbal University Babylon Hilla51001 Iraq Ghateh Gostar Novin Company Tabriz51579 Iran Department of Physics Faculty of Science King Khalid University P.O. Box 9004 Abha61413 Saudi Arabia Department of Civil Engineering College of Engineering in Al-Kharj Prince Sattam Bin Abdulaziz University Al-Kharj11942 Saudi Arabia College of Civil Engineering and Architecture Zhejiang University Hangzhou310058 China Institute of Research and Development Duy Tan University Da Nang Viet Nam School of Engineering & Technology Duy Tan University Da Nang Viet Nam Department of Biomaterials Saveetha Dental College and Hospital Saveetha Institute of Medical and Technical Sciences Chennai600077 India

This study presents a novel approach to enhance the longevity and seismic resilience of ‎ Concrete-Filled Steel Tubular (CFST) frame towers commonly used in ‎onshore wind turbines. Fatigue-related failures at welded joints pose significant challenges to the durability of these towers. This research investigates the impact of optimized ring stiffener ‎configurations and concrete infill on reducing stress concentrations and improving ‎fatigue resistance under simulated seismic loading. The study utilizes with samples including CFST-gusset plate joints and non-concrete-filled joints, with different configurations of concrete infill and ring stiffeners. ‎These samples were evaluated under static loading to assess the influence of stiffener width, thickness, and spacing on Stress Concentration Factors (SCFs). Subsequently, cyclic loading tests were conducted to observe crack initiation and progression. The results show that ‎optimized configurations of both concrete fill and ring stiffeners significantly reduce ‎SCFs, improve stress distribution, and delay crack initiation, enhancing the seismic ‎fatigue performance of CFST joints. Moreover, the study integrates Artificial Intelligence ‎‎(AI) techniques, specifically Support Vector Machines (SVM), to predict the fatigue ‎behavior of these joints under different loading conditions. The SVM model was trained on experimental data and demonstrated high predictive accuracy in forecasting the fatigue life of CFST joints, achieving an R² value of 0.95, an RMSE of 0.11, and an MAE of 0.08. These results validate the AI model's ‎ability to optimize design parameters and predict fatigue life, contributing to more ‎efficient and reliable CFST joint design. This integration of AI enhances design ‎optimization by providing precise predictions based on complex variables like stiffener ‎geometry and concrete filling. Overall, the findings suggest that incorporating ‎optimized stiffener configurations, concrete infill, and AI-based desi

关键词： Stress concentration

来源：评论

学校读者我要写书评

暂无评论

The Quantum Approximate Algorithm for Solving Traveling Salesman Problem

引用

computers, Materials & Continua 2020年第6期63卷 1237-1247页

作者： Yue Ruan Samuel Marsh Xilin Xue Zhihao Liu Jingbo Wang School of Computer Science and Technology Anhui University of TechnologyMaanshanChina School of Physics University of Western AustraliaPerthAustralia School of Computer Science and Engineering Southeast UniversityNanjingChina

The Quantum Approximate Optimization Algorithm(QAOA)is an algorithmic framework for finding approximate solutions to combinatorial optimization *** consists of interleaved unitary transformations induced by two operators labelled the mixing and problem *** fit this framework,one needs to transform the original problem into a suitable form and embed it into these two *** this paper,for the well-known NP-hard Traveling Salesman Problem(TSP),we encode its constraints into the mixing Hamiltonian rather than the conventional approach of adding penalty terms to the problem ***,we map edges(routes)connecting each pair of cities to qubits,which decreases the search space significantly in comparison to other *** a result,our method can achieve a higher probability for the shortest round-trip route with only half the number of qubits consumed compared to IBM Q’s *** argue the formalization approach presented in this paper would lead to a generalized framework for finding,in the context of QAOA,high-quality approximate solutions to NP optimization problems.

关键词： Quantum approximate optimization algorithm traveling salesman problem NP optimization problems

来源：评论

学校读者我要写书评

暂无评论

Automated Detection of Epileptic Spikes and Seizures Incorporating a Novel Spatial Clustering Prior

arXiv

引用

arXiv 2025年

作者： Dong, Hanyang Sheng, Shurong Wang, Xiongfei Gao, Jia-Hong Sun, Yi Yang, Wanli Xiao, Kuntao Teng, Pengfei Luan, Guoming Lv, Zhao School of Artificial Intelligence Anhui University Hefei230601 China Anhui Province Key Laboratory of Biomedical Imaging and Intelligent Processing Institute of Artificial Intelligence Hefei Comprehensive National Science Center Hefei230088 China Department of Neurosurgery Beijing Key Laboratory of Epilepsy Sanbo Brain Hospital Capital Medical University Beijing China McGovern Institute for Brain Research Peking University Beijing China Center for MRI Research Academy for Advanced Interdisciplinary Studies Peking University Beijing China Beijing City Key Lab for Medical Physics and Engineering Institute of Heavy Ion Physics School of Physics Peking University Beijing China Anhui Province Key Laboratory of Multimodal Cognitive Computation School of Computer Science and Technology Anhui University Hefei230601 China

A Magnetoencephalography (MEG) time-series recording consists of multi-channel signals collected by superconducting sensors, with each signal’s intensity reflecting magnetic field changes over time at the sensor location. Automating epileptic MEG spike detection significantly reduces manual assessment time and effort, yielding substantial clinical benefits. Existing research addresses MEG spike detection by encoding neural network inputs with signals from all channel within a time segment, followed by classification. However, these methods overlook simultaneous spiking occurred from nearby sensors. We introduce a simple yet effective paradigm that first clusters MEG channels based on their sensor’s spatial position. Next, a novel convolutional input module is designed to integrate the spatial clustering and temporal changes of the signals. This module is fed into a custom MEEG-ResNet3D developed by the authors, which learns to extract relevant features and classify the input as a spike clip or not. Our method achieves an F1 score of 94.73% on a large real-world MEG dataset Sanbo-CMR collected from two centers, outperforming state-of-the-art approaches by 1.85%. Moreover, it demonstrates efficacy and stability in the Electroencephalographic (EEG) seizure detection task, yielding an improved weighted F1 score of 1.4% compared to current state-of-the-art techniques evaluated on TUSZ, whch is the largest EEG seizure dataset. Copyright © 2025, The Authors. All rights reserved.

关键词： Magnetoencephalography

来源：评论

学校读者我要写书评

暂无评论

A Van der Waals Moiré Bilayer Photonic Crystal Cavity

arXiv

引用

arXiv 2025年

作者： Spencer, Lesley Coste, Nathan Ni, Xueqi Park, Seungmin Schaeper, Otto C. Kim, Young Duck Taniguchi, Takashi Watanabe, Kenji Toth, Milos Zalogina, Anastasiia Tang, Haoning Aharonovich, Igor School of Mathematical and Physical Sciences University of Technology Sydney UltimoNSW2007 Australia ARC Centre of Excellence for Transformative Meta-Optical Systems University of Technology Sydney UltimoNSW2007 Australia Department of Physics National University of Singapore 119077 Singapore Department of Physics Kyung Hee University Seoul02447 Korea Republic of International Center for Materials Nanoarchitectonics National Institute for Materials Science 1-1 Namiki Tsukuba305-0044 Japan Research Center for Functional Materials National Institute for Materials Science 1-1 Namiki Tsukuba305-0044 Japan Department of Electrical Engineering and Computer Science University of California at Berkeley BerkeleyCA94720 United States School of Engineering and Applied Sciences Harvard University CambridgeMA02138 United States

Enhancing light-matter interactions with photonic structures is critical in classical and quantum nanophotonics. Recently, Moiré twisted bilayer optical materials have been proposed as a promising means towards a tunable and controllable platform for nanophotonic devices, with proof of principle realisations in the near infrared spectral range. However, the realisation of Moiré photonic crystal (PhC) cavities has been challenging, due to a lack of advanced nanofabrication techniques and availability of standalone transparent membranes. Here, we leverage the properties of the van der Waals material hexagonal Boron Nitride to realize Moiré bilayer PhC cavities. We design and fabricate a range of devices with controllable twist angles, with flatband modes in the visible spectral range (~ 450 nm). Optical characterization confirms the presence of spatially periodic cavity modes originating from the engineered dispersion relation (flatband). Our findings present a major step towards harnessing a two-dimensional van der Waals material for the next-generation of on chip, twisted nanophotonic systems. Copyright © 2025, The Authors. All rights reserved.

关键词： Van der Waals forces

来源：评论

学校读者我要写书评

暂无评论

Augmented Reality-Assisted Pediatric Surgery: A Machine Learning-Based Approach for Enhancing Accuracy

Augmented Reality-Assisted Pediatric Surgery: A Machine Lear...

引用

Advances in computer science, Electrical, Electronics, and Communication Technologies (CE2CT), International Conference on

作者： Sumedha Bhardwaj Swapna Narla Md Nurul Absur Shuvo Dutta J B Hyzil S M Krishna Ganesh Department of School of Computing DIT University Dehradun Uttarakhand India Tek Yantra Inc California USA Computer Science CUNY Graduate Center New York New York USA Department of Physics Western Michigan University USA Department of Zoology Govt College for Women Affiliated to University of Kerala Thiruvananthapuram Department of Artificial Intelligence and Data Science New Prince Shri Bhavani College of Engineering and Technology Chennai India

ISBN: (数字)9798331518578

ISBN: (纸本)9798331518585

Numerous advancements have been identified as potentially disruptive innovations in the surgical workplace as surgical workflow continues to improve in the digital age. The application of virtual reality (VR) and augmented reality (AR) within health care to enhance the use of data for medical reasons is unavoidable given their rapid expansion in availability, affordability, and accessibility. Using augmented reality may help paediatric orthopaedic and trauma surgeons overcome the difficult problem of comprehending the spatial linkages among the implants, anatomy, and their instruments. As needs be, the current examination proposes another AR of the surgical scene that deftly incorporates the various information sources given by a mobile C-arm and a Kinect RGB-depth sensor. This paper present a learning-based worldview to perceive the significant items or life structures in both Kinect and data of X-ray, and to produce an object unambiguous pixel-wise alpha guide that permits importance based combination of the X-ray pictures and the video inside a solitary view. We demonstrate very encouraging results in 10 simulated procedures with the goal of giving physicians a better grasp of the surgical environment and an enhanced perception.

关键词： Pediatrics Accuracy Navigation Instruments Surgery Medical services Information age Object recognition Augmented reality X-ray imaging

来源：评论

学校读者我要写书评

暂无评论

First-Principles Framework for the Prediction of Intersystem Crossing Rates in Spin Defects: The Role of Electron Correlation

arXiv

引用

arXiv 2025年

作者： Jin, Yu Park, Jinsoo McMillan, Marquis M. Ohm, Daniel Donghyon Barnes, Corrie Pingault, Benjamin Egerstrom, Christopher Huang, Benchen Govoni, Marco Heremans, F. Joseph Awschalom, David D. Galli, Giulia Pritzker School of Molecular Engineering University of Chicago ChicagoIL60637 United States Department of Physics and Astronomy Seoul National University Seoul08826 Korea Republic of Q-NEXT Argonne National Laboratory LemontIL60439 United States Materials Science Division Argonne National Laboratory LemontIL60439 United States Department of Chemistry University of Chicago ChicagoIL60637 United States Department of Physics Computer Science and Mathematics University of Modena and Reggio Emilia Modena41125 Italy Department of Physics University of Chicago ChicagoIL60637 United States

Optically active spin defects in solids are promising platforms for quantum technologies. Here, we present a first-principles framework to investigate intersystem crossing processes, which represent crucial steps in the optical spin-polarization cycle used to address spin defects. Considering the nitrogen-vacancy center in diamond as a case study, we demonstrate that our framework effectively captures electron correlation effects in the calculation of many-body electronic states and their spin-orbit coupling and electron-phonon interactions, while systematically addressing finite-size effects. We validate our predictions by carrying out measurements of fluorescence lifetimes, finding excellent agreement between theory and experiments. The framework presented here provides a versatile and robust tool for exploring the optical cycle of varied spin defects entirely from first principles. Copyright © 2025, The Authors. All rights reserved.

关键词： Spin polarization

来源：评论

学校读者我要写书评

暂无评论

Full-waveform variational inference with full common-image gathers and diffusion network

arXiv

引用

arXiv 2025年

作者： Zeng, Yunlin Erdinc, Huseyin Tuna Orozco, Rafael Herrmann, Felix School of Physics Georgia Institute of Technology United States School of Electrical and Computer Engineering Georgia Institute of Technology United States School of Computational Science and Engineering Georgia Institute of Technology United States School of Earth and Atmospheric Sciences School of Computational Science and Engineering United States

Accurate seismic imaging and velocity estimation are essential for subsurface characterization. Conventional inversion techniques, such as full-waveform inversion, remain computationally expensive and sensitive to initial velocity models. To address these challenges, we propose a simulation-based inference framework with conditional elucidated diffusion models for posterior velocity-model sampling. Our approach incorporates both horizontal and vertical subsurface offset common-image gathers to capture a broader range of reflector geometries, including gently dipping structures and steep dipping layers. Additionally, we introduce the background-velocity model as an input condition to enhance generalization across varying geological settings. We evaluate our method on the SEAM dataset, which features complex salt geometries, using a patch-based training approach. Experimental results demonstrate that adding the background-velocity model as an additional conditioning variable significantly enhances performance, improving SSIM from 0.717 to 0.733 and reducing RMSE from 0.381 km/s to 0.274 km/s. Furthermore, uncertainty quantification analysis shows that our proposed approach yields better-calibrated uncertainty estimates, reducing uncertainty calibration error from 6.68 km/s to 3.91 km/s. These results show robust amortized seismic inversion with uncertainty quantification. © 2025, CC BY.

关键词： Uncertainty analysis

来源：评论

学校读者我要写书评

暂无评论

YOLO-RS: Remote Sensing Enhanced Crop Detection Methods

arXiv

引用

arXiv 2025年

作者： Xiao, Linlin Tiancong, Zhang Jia, Yutong Nie, Xinyu Wang, Mengyao Shao, Xiaohang Henan University School of Computer and Information Engineering Kaifeng China University of Chinese Academy of Sciences School of Physics and Optoelectronics Engineering Hangzhou China Jilin University College of Electronic Science and Engineering Changchun China Taiyuan University of Technology School of Computer Science and Technology Taiyuan China Henan Normal University College of Electronic Science and Engineering Xinxiang China

With the rapid development of remote sensing technology, crop classification and health detection based on deep learning have gradually become a research hotspot. However, the existing target detection methods show poor performance when dealing with small targets in remote sensing images, especially in the case of complex background and image mixing, which is difficult to meet the practical application requirements[1]. To address this problem, a novel target detection model YOLO-RS is proposed in this paper. The model is based on the latest Yolov11 which significantly enhances the detection of small targets by introducing the Context Anchor Attention (CAA) mechanism and an efficient multi-field multi-scale feature fusion network. YOLO-RS adopts a bidirectional feature fusion strategy in the feature fusion process, which effectively enhances the model’s performance in the detection of small targets. Small target detection. Meanwhile, the ACmix module at the end of the model backbone network solves the category imbalance problem by adaptively adjusting the contrast and sample mixing, thus enhancing the detection accuracy in complex scenes. In the experiments on the PDT remote sensing crop health detection dataset and the CWC crop classification dataset, YOLO-RS improves both the recall and the mean average precision (mAP) by about 2-3% or so compared with the existing state-of-the-art methods, while the F1-score is also significantly improved. Moreover, the computational complexity of the model only increases by about 5.2 GFLOPs, indicating its significant advantages in both performance and efficiency. The experimental results validate the effectiveness and application potential of YOLO-RS in the task of detecting small targets in remote sensing images. © 2025, CC BY.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Construction of Optical Spatiotemporal Skyrmions

arXiv

引用

arXiv 2025年

作者： Teng, Houan Liu, Xin Zhang, Nianjia Fan, Haihao Chen, Guoliang Cao, Qian Zhong, Jinzhan Lei, Xinrui Zhan, Qiwen School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai200093 China Shandong Provincial Engineering and Technical Center Light Manipulations and Shandong Provincial Key Laboratory of Optics and Photonic Device School of Physics and Electronics Shandong Normal University Jinan250014 China Collaborative Innovation Center of Light Manipulations and Applications Shandong Normal University Jinan250358 China Zhangjiang Laboratory 100 Haike Road Shanghai201204 China Hiroshima University Higashihiroshima Hiroshima739-8526 Japan

The creation and manipulation of photonic skyrmions provide a novel degree of freedom for light-matter interactions, optical communication and nanometrology. Since the localized vortex within skyrmions arises from the twist and curl of the phase structure, the orbital angular momentum of light is essential for their construction. While numerous skyrmionic textures have been proposed, they are formed within the spatial domain and induced by the longitudinal orbital angular momentum. Here we theoretically propose and experimentally observe spatiotemporal skyrmions within a picosecond pulse wavepacket, generated through vectorial sculpturing of spatiotemporal wavepackets. The skyrmionic textures emerge within the spatiotemporal distribution of a vector field encompass all possible polarization states. Constructed upon the transverse orbital angular momentum, spatiotemporal skyrmions, in contrast to spatial skyrmions, exhibit no helical twisting perpendicular to the skyrmion plane, demonstrating enhanced stability to deformations or perturbations. These results expand the skyrmion family and offer new insights into optical quasiparticles, potentially leading to advanced applications in optical metrology, sensing, and data storage. © 2025, CC BY.

关键词： Wave packets

来源：评论

学校读者我要写书评

暂无评论

Synergistic Enhancement of Dye-Sensitized solar cells with PANi/CZTS nanocomposite counter electrodes

引用

Inorganic Chemistry Communications 2025年 178卷

作者： Hsu, Chou-Yi Elshafie, Hashim Diakina, Ekaterina Kareem, A.K. Kanjariya, Prakash Rajiv, Asha Singh, Ashish Jindal, Pardeep Kumar Thunderbird School of Global Management Arizona State University Tempe Campus Phoenix 85004 AZ United States Department of Computer Engineering College of Computer Science King Khalid University Main Campus Al farah Abha 61421 Saudi Arabia Department of Mechanical Engineering Bauman Moscow State Technical University Moscow Russian Federation Polytechnic Institute far eastern federal university Vladivostok Russian Federation Biomedical Engineering Department College of Engineering and Technologies Al-Mustaqbal University Babil Hillah 51001 Iraq Marwadi University Research Center Department of Physics Faculty of Science Marwadi University Gujarat Rajkot 360003 India Department of Physics & Electronics School of Sciences JAIN (Deemed to be University) Karnataka Bangalore India Department of Electrical Electronics & Electric Vehicle Engineering NIMS Institute of Engineering & Technology NIMS University Rajasthan Jaipur India Department of Electronics and Communication Engineering Chandigarh College of Engineering Chandigarh Group of Colleges-Jhanjeri Punjab Mohali 140307 India

This study investigates the fabrication and application of polyaniline (PANi)/copper zinc tin sulfide (CZTS) nanocomposites as counter electrodes in dye-sensitized solar cells (DSSCs). CZTS and PANi were synthesized using conventional methods, and PANi/CZTS composites were prepared through simultaneous synthesis reactions. The synthesized materials were drop-cast to fabricate CZTS, PANi, and PANi/CZTS counter electrodes, which were then integrated into DSSCs. Characterization techniques including XRD, FTIR, Raman, FESEM, TEM, and HRTEM were employed to analyze the synthesized samples. Electrochemical properties were studied using EIS, CV, and Tafel analysis. The photovoltaic parameters of the prepared cells revealed enhanced performance for the PANi/CZTS composite compared to CZTS and PANi alone, with a power conversion efficiency (PCE) of 8.82%, notably surpassing the PCE of the CZTS (5.82%) and PANi (7.18%) counter electrodes. These results underscore the potential of PANi/CZTS nanocomposites as efficient and cost-effective alternatives in DSSCs. © 2025 Elsevier B.V.

关键词： Counter electrode CZTS DSSC Nanocomposite PANi

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：