检索结果-内蒙古大学图书馆

Facile and adjustable production of self–standing oxygen–doped graphene membranes for optimized oxygen evolution electrocatalysis

引用

Nano Materials science 2025年第2期7卷 231-239页

作者： Chen, Liang Yang, Lanyun Hu, Liying Jin, Minghao Xu, Chenxi He, Binhong Wang, Wei Liu, Ying Li, Gangyong Hou, Zhaohui Key Laboratory of Hunan Province for Advanced Carbon‒based Functional Materials School of Chemistry and Chemical Engineering Hunan Institute of Science and Technology Hunan Yueyang414006 China College of Materials Science and Engineering Central South University of Forestry and Technology Hunan Changsha410004 China

Owing to abundant resource and affordable price, metal–free carbon has been extensively studied in the field of oxygen reduction reaction, while the related studies on oxygen evolution reaction (OER) are quite few. In this work, a facile and scalable knife coating coupled with annealing strategy is proposed to produce self–standing oxygen–doped graphene membranes (marked as O–GM–T, T represents the annealing temperature). Through systematic characterization and analysis, it is discovered the annealing treatment not only decreases the amount of oxygenic groups, but allows for controlled regulation of the oxygen configurations, leaving only C–OH/C–O–C and C[dbnd]O. Meanwhile, theoretical calculations indicate that the OER activity trend of different oxygen configurations is as follows: –COOH > C[dbnd]O ≈ C–OH > C–O–C. Despite the removal of highly active –COOH group through annealing treatment, the resulting O–GM–800 sample maintains good mechanical property and achieves a favorable balance on conductivity, hydrophilicity and catalytic sites. Consequently, it displays significantly improved OER performance compared to the counterparts, making it highly promising for applications in overall water splitting devices. Apparently, our work provides guidance for the rational design and controllable fabrication of self–standing carbon–based catalysts for energy–related reactions. © 2025 Chongqing university

关键词： Coatings

来源：评论

学校读者我要写书评

暂无评论

A decentralised asynchronous federated learning framework for autonomous driving

引用

International Journal of Vehicle Autonomous Systems 2024年第3-4期17卷 133-149页

作者： Li, Xiaoli Cai, Ting Xiong, Wei Xu, Degang Computer School HuBei University of Arts and Science Xiangyang China School of Computer Science and Engineering Hubei University of Technology Wuhan China

Traditional autonomous driving usually requires a large number of vehicles to upload data to a central server for training. However, collecting data from vehicles may violate personal privacy as road environmental information contains geographic location. Federated learning can achieve multi-vehicle collaborative sensing of the road environment while protecting data privacy. However, the existing centralised federated learning architecture faces some challenges, such as credibility, fairness, and real-time. To address the above issues, we propose a decentralised asynchronous federated learning framework based on blockchain. Firstly, using blockchain to replace the central server of traditional federated learning architecture avoids the untrustworthy issues caused by the central architecture. Secondly, the blockchain module includes scoring contract units and incentive contract units to prevent malicious vehicle attacks and designs fair incentive mechanisms to ensure the ecological health and sustainable development of federated learning. Thirdly, using the asynchronous federated learning algorithm, blockchain can immediately aggregate model updates from vehicles, greatly improving the overall training flexibility and real-time performance. Experimental results demonstrate the effectiveness of the proposed framework. Copyright © 2023 Inderscience Enterprises Ltd.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

ComMatch: A semi-supervised learning classification algorithm based on model calibration

引用

Journal of Intelligent and Fuzzy Systems 2025年第6期48卷 811-822页

作者： Li, Ye Zhou, Jingkang School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai China Department of Control Science and Engineering University of Shanghai for Science and Technology Shanghai China

Semi-supervised learning (SSL) aims to reduce reliance on labeled data. Achieving high performance often requires more complex algorithms, therefore, generic SSL algorithms are less effective when it comes to image classification tasks. In this study, we propose ComMatch, a simpler and more effective algorithm that combines negative learning, dynamic thresholding, and predictive stability discriminations into the consistency regularization approach. The introduction of negative learning is to help facilitate training by selecting negative pseudo-labels during stages when the network has low confidence. And ComMatch filters positive and negative pseudo-labels more accurately as training progresses by dynamic thresholds. Since high confidence does not always mean high accuracy due to network calibration issues, we also introduce network predictive stability, which filters out samples by comparing the standard deviation of the network output with a set threshold, thus largely reducing the influence of noise in the training process. ComMatch significantly outperforms existing algorithms over several datasets, especially when there is less labeled data available. For example, ComMatch achieves 1.82% and 3.6% error rate reduction over FlexMatch and FixMatch on CIFAR-10 with 40 labels respectively. And with 4000 labeled samples, ComMatch achieves 0.54% and 2.65% lower error rates than FixMatch and MixMatch, respectively. © 2025 – IOS Press. All rights reserved.

关键词： Semi-supervised learning

来源：评论

学校读者我要写书评

暂无评论

Revealing the Trends in the Academic Landscape of the Health Care System Using Contextual Topic Modeling

引用

Data Intelligence 2023年第4期5卷 923-946页

作者： Muhammad Inaam ul haq Qianmu Li School of computer science and Engineering Nanjing University of Science and Technology

The health care system encompasses the participation of individuals,groups,agencies,and resources that offer services to address the requirements of the person,community,and population in terms of *** to the rising debates on the healthcare systems in relation to diseases,treatments,interventions,medication,and clinical practice guidelines,the world is currently discussing the healthcare industry,technology perspectives,and healthcare *** gain a comprehensive understanding of the healthcare systems research paradigm,we offered a novel contextual topic modeling approach that links up the CombinedTM model with our healthcare Bert to discover the contextual topics in the domain of *** research work discovered 60 contextual topics among them fteen topics are the hottest which include smart medical monitoring systems,causes,and effects of stress and anxiety,and healthcare cost estimation and twelve topics are the ***,thirty-three topics are showing in-significant *** further investigated various clusters and correlations among the topics exploring inter-topic distance maps which add depth to the understanding of the research structure of this scientific *** current study enhances the prior topic modeling methodologies that examine the healthcare literature from a particular disciplinary *** further extends the existing topic modeling approaches that do not incorporate contextual information in the topic discovery process adding contextual information by creating sentence embedding vectors through transformers-based *** also utilized corpus tuning,the mean pooling technique,and the hugging face *** method gives a higher coherence score as compared to the state-of-the-art models(LSA,LDA,and Ber Topic).

关键词： Contextual topic modeling health care Bert content analysis health care system

来源：评论

学校读者我要写书评

暂无评论

Double quantum images encryption scheme based on chaotic system

引用

Chinese Physics B 2024年第4期33卷 305-320页

作者：蒋社想李杨石锦张茹 School of Computer Science and Engineering Anhui University of Science and TechnologyHuainan 232001China Anhui Key Laboratory of Mine Intelligent Equipment and Technology Anhui University of Science&TechnologyHuainan 232001China

This paper explores a double quantum images representation(DNEQR)model that allows for simultaneous storage of two digital images in a quantum superposition ***,a new type of two-dimensional hyperchaotic system based on sine and logistic maps is investigated,offering a wider parameter space and better chaotic behavior compared to the sine and logistic *** on the DNEQR model and the hyperchaotic system,a double quantum images encryption algorithm is ***,two classical plaintext images are transformed into quantum states using the DNEQR ***,the proposed hyperchaotic system is employed to iteratively generate pseudo-random *** chaotic sequences are utilized to perform pixel value and position operations on the quantum image,resulting in changes to both pixel values and ***,the ciphertext image can be obtained by qubit-level diffusion using two XOR operations between the position-permutated image and the pseudo-random *** corresponding quantum circuits are also *** results demonstrate that the proposed scheme ensures the security of the images during transmission,improves the encryption efficiency,and enhances anti-interference and anti-attack capabilities.

关键词： double quantum images encryption chaotic system pixel scrambling XOR operation

来源：评论

学校读者我要写书评

暂无评论

A Pre-Selection-Based Ant Colony System for Integrated Resources Scheduling Problem at Marine Container Terminal

引用

computers, Materials & Continua 2024年第8期80卷 2363-2385页

作者： Rong Wang Xinxin Xu Zijia Wang Fei Ji Nankun Mu School of Electronic and Information Engineering South China University of TechnologyGuangzhou510641China School of Computer Science and Technology Ocean University of ChinaQingdao266100China School of Computer Science and Cyber Engineering Guangzhou UniversityGuangzhou510006China School of Computer Science Chongqing UniversityChongqing400044China

Marine container terminal(MCT)plays a key role in the marine intelligent transportation system and international logistics ***,the efficiency of resource scheduling significantly influences the operation performance of *** solve the practical resource scheduling problem(RSP)in MCT efficiently,this paper has contributions to both the problem model and the algorithm ***,in the problem model,different from most of the existing studies that only consider scheduling part of the resources in MCT,we propose a unified mathematical model for formulating an integrated *** new integrated RSP model allocates and schedules multiple MCT resources simultaneously by taking the total cost minimization as the ***,in the algorithm design,a pre-selection-based ant colony system(PACS)approach is proposed based on graphic structure solution representation and a pre-selection *** the one hand,as the RSP can be formulated as the shortest path problem on the directed complete graph,the graphic structure is proposed to represent the solution encoding to consider multiple constraints and multiple factors of the RSP,which effectively avoids the generation of infeasible *** the other hand,the pre-selection strategy aims to reduce the computational burden of PACS and to fast obtain a higher-quality *** evaluate the performance of the proposed novel PACS in solving the new integrated RSP model,a set of test cases with different sizes is *** results and comparisons show the effectiveness and efficiency of the PACS algorithm,which can significantly outperform other state-of-the-art algorithms.

关键词： Resource scheduling problem(RSP) ant colony system(ACS) marine container terminal(MCT) pre-selection strategy

来源：评论

学校读者我要写书评

暂无评论

LDTR:Transformer-based lane detection with anchor-chain representation

引用

Computational Visual Media 2024年第4期10卷 753-769页

作者： Zhongyu Yang Chen Shen Wei Shao Tengfei Xing Runbo Hu Pengfei Xu Hua Chai Ruini Xue School of Computer Science and Engineering University of Electronic Science and Technology of ChinaChengdu 611731China Didi Chuxing Beijing 100081China

Despite recent advances in lane detection methods,scenarios with limited-or no-visual-clue of lanes due to factors such as lighting conditions and occlusion remain challenging and crucial for automated ***,current lane representations require complex post-processing and struggle with specific *** by the DETR architecture,we propose LDTR,a transformer-based model to address these *** are modeled with a novel anchorchain,regarding a lane as a whole from the beginning,which enables LDTR to handle special lanes *** enhance lane instance perception,LDTR incorporates a novel multi-referenced deformable attention module to distribute attention around the ***,LDTR incorporates two line IoU algorithms to improve convergence efficiency and employs a Gaussian heatmap auxiliary branch to enhance model representation capability during *** evaluate lane detection models,we rely on Fr´echet distance,parameterized F1-score,and additional synthetic *** results demonstrate that LDTR achieves state-of-the-art performance on well-known datasets.

关键词： transformer lane detection anchor-chain

来源：评论

学校读者我要写书评

暂无评论

Structured Light Center Extraction Study with Multiple Attention Mechanisms

IAENG International Journal of Computer Science

引用

IAENG International Journal of computer science 2024年第4期51卷 437-446页

作者： Sun, Hang Zhou, Ziwei School of Computer and Software Engineering University of Science and Technology Liaoning Anshan114051 China School of Computer and Software Engineering University of Science and Technology Liaoning Anshan114051 China

The integration of deep learning with conventional structured light center extraction techniques improves the accuracy of extracting structural gold centers. The method is divided into three steps. The initial step involves calibration, which aims to establish a correlation between image coordinates and world coordinates. The subsequent stage involves identifying the laser fringe area. This study employs a self-designed Multi-Att DeepLabV3+ encoder-decoder neural network architecture to extract the laser fringe region. The self-designed SE-ResSkipNet module is incorporated into the structure as the backbone. The decoder utilizes a parallel alternating dual attention mechanism. The third step involves extracting the center of the laser fringe utilizing the Steger algorithm, which is based on a Hessian matrix. Conducting experimental validation on a laser image dataset that is open-source. The experimental resluts indicate that the network architecture's mIoU, fwIoU, Acc, and Acc class evaluation metrics for complex laser fringe segmentation have shown improvements of 4.22%, 0.67%, 0.33%, and 4.96%, respectively. This algorithm demonstrates superior accuracy compared to other algorithms in laser fringe segmentation, playing a crucial role in the subsequent processes of 3D reconstruction and 3D measurement. © (2024), (International Association of Engineers). All Rights Reserved.

关键词： Decoding

来源：评论

学校读者我要写书评

暂无评论

Stress effect on lattice thermal conductivity of anode material NiNB_(2)O_(6)for lithium-ion batteries

引用

Chinese Physics B 2023年第5期32卷 43-48页

作者：陈奥童话吴成伟谢国锋谢忠祥向长青周五星 School of Materials Science and Engineering&Hunan Provincial Key Laboratory of Advanced Materials for New Energy Storage and Conversion Hunan University of Science and TechnologyXiangtan 411201China School of Science Hunan Institute of TechnologyHengyang 421002China College of Information Science and Engineering Jishou UniversityJishou 416000China

The thermal transport properties of NiNB_(2)O_(6)as anode material for lithium-ion battery and the effect of strain were studied by machine learning interatomic potential combined with Boltzmann transport *** results show that the lattice thermal conductivity of NiNB_(2)O_(6)along the three crystal directions[100],[010],and[001]are 0.947 W·m^(-1)·K^(-1),0.727 W·m^(-1)·K^(-1),and 0.465 W·m^(-1)·K^(-1),respectively,indicating the anisotropy of the lattice thermal conductivity of NiNB_(2)O_(6).This anisotropy of the lattice thermal conductivity stems from the significant difference of phonon group velocities in different crystal directions of NiNB_(2)O_(6).When the tensile strain is applied along the[001]crystal direction,the lattice thermal conductivity in all three directions ***,when the compressive strain is applied,the lattice thermal conductivity in the[100]and[010]crystal directions is increased,while the lattice thermal conductivity in the[001]crystal direction is abnormally reduced due to the significant inhibition of compressive strain on the group *** indicate that the anisotropy of thermal conductivity of NiNB_(2)O_(6)can be enhanced by the compressive strain,and reduced by the tensile strain.

关键词： nickel niobate lattice thermal conductivity uniaxial strain machine learning potential

来源：评论

学校读者我要写书评

暂无评论

SpGCLF: A versatile deep graph contrastive learning framework for spatial transcriptomics analysis

SpGCLF: A versatile deep graph contrastive learning framewor...

引用

2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Chen, Xiang Yu, Junnan Li, Min Hunan University of Science and Technology School of Computer Science and Engineering Xiangtan China Central South University School of Computer Science and Engineering Changsha China

ISBN: (纸本)9798350386226

The rapid development of spatial transcriptomics (ST) has revolutionized the study of spatial heterogeneity and increased the demand for comprehensive methods to effectively characterize spatial domains. As a prerequisite for ST data analysis, spatial domain characterization is a critical step for downstream analysis and biological interpretation. Here, we propose a deep graph contrastive learning framework (spG-CLF) for spatial transcriptomics, which leverages contrastive learning through graph convolutional networks to effectively learn features among spots, addressing the issue of poor cross-platform generalizability. By alternately performing attribute and topological denoising, our method specifically reduces noise in ST data. We demonstrate that s p GCLF is effective for spatial domain identification, trajectory inference, multi-slice integration, and type annotation. © 2024 IEEE.

关键词： Contrastive Learning

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：