检索结果-内蒙古大学图书馆

Ongoing Compressional Tectonism and Regional Seismic Hazard Revealed by the 2023 Mw6.1 Jishishan Earthquake

Journal of Earth Science 2025年第1期36卷 275-290页

作者： Xiaoning Hu Chen Yu Zhenjiang Liu Yingying Zhang Zhenhong Li Chuang Song Bingquan Han Haihui Liu Jie Li College of Geological Engineering and Geomatics Chang'an UniversityXi'an 710054China Key Laboratory of Loess Xi'an 710054China Big Data Center for Geosciences and Satellites Chang'an UniversityXi'an 710054China Key Laboratory of Western China's Mineral Resources and Geological Engineering Ministry of EducationXi'an 710054China China Earthquake Networks Center Beijing 100045China

On December 18,2023,a Mw6.1 earthquake struck Jishishan County,Gansu Province,China,marking the most significant earthquake in the northeastern edge of the Tibetan Plateau since *** its proximate to the Loess Plateau,which is extremely susceptible to geohazards,this earthquake raises awareness about the seismic hazard of several mega-cities such as Xi'an in Northwest *** this paper,we inferred that the rupture occurred on an east-dipping backthrust,resulting from the regional E-W contraction tectonic *** dynamic model through teleseismic waves and static model through radar displacement measurements together reveal a unilateral,along-strike rupture,encountering a slip barrier at one side of the main slip patch causing a cluster of *** also identified a high-dip structure,which is an early-stage backthrust fault whose dip becomes increasingly high due to regional compressional *** from the loaded fault segments,particularly on the fault linkage,which necessitate continuous examination,a detailed seismic hazard assessment of the west Qinling and Daotanghe-Linxia fault system identifies a seismic gap between Weiyuan and Dingxi with the potential for a Mw7.5 ***,these findings provide valuable insights into the seismic behavior of the seismogenic fault as well as guidance on hazard mitigation in its surrounding fault systems.

关键词： 2023 Jishishan Earthquake dynamic rupture process coseismic displacements seismic hazard assessment fault slips mechanics

来源：评论

学校读者我要写书评

暂无评论

Federated Incremental Named Entity Recognition 31

Federated Incremental Named Entity Recognition

引用

31st International Conference on Computational Linguistics, COLING 2025

作者： Liu, Zesheng Zhu, Qiannan Li, Cuiping Chen, Hong School of Information Renmin University of China Beijing China Key Laboratory of Data Engineering and Knowledge Engineering MOE China Engineering Research Center of Database and Business Intelligence MOE China School of Artificial Intelligence Beijing Normal University Beijing China Engineering Research Center of Intelligent Technology and Educational Application MOE China

ISBN: (纸本)9798891761964

Federated learning-based Named Entity Recognition (FNER) has attracted widespread attention through decentralized training on local clients. However, most FNER models assume that entity types are pre-fixed, so in practical applications, local clients constantly receive new entity types without enough storage to access old entity types, resulting in severe forgetting on previously learned knowledge. In addition, new clients collecting only new entity types may join the global training of FNER irregularly, further exacerbating catastrophic forgetting. To overcome the above challenges, we propose a Forgetting-Subdued Learning (FSL) model which solves the forgetting problem on old entity types from both intra-client and inter-client two aspects. Specifically, for intra-client aspect, we propose a prototype-guided adaptive pseudo labeling and a prototypical relation distillation loss to surmount catastrophic forgetting of old entity types with semantic shift. Furthermore, for inter-client aspect, we propose a task transfer detector. It can identify the arrival of new entity types that are protected by privacy and store the latest old global model for relation distillation. Qualitative experiments have shown that our model has made significant improvements compared to several baseline methods. © 2025 Association for Computational Linguistics.

关键词： Federated learning

来源：评论

学校读者我要写书评

暂无评论

A Robust Indoor Vehicle Localization Strategy based on UWB and INS

引用

IEEE Transactions on Vehicular Technology 2025年第5期74卷 7292-7302页

作者： Cheng, Long Cui, Chen Zhang, Hao Northeastern University Department of Computer and Communication Engineering Qinhuangdao066004 China Northeastern University Hebei Key Laboratory of Marine Perception Network and Data Processing Hebei Qinhuangdao066004 China

High-precision indoor vehicle localization technology has recently been a research hotspot for indoor location services. This paper investigate the indoor combined positioning technology based on Ultra wide band (UWB) and inertial navigation system(INS), aiming to overcome the limitations of UWB in non-line of sight (NLOS) environment and cumulative errors of INS. For dealing with NLOS errors conveniently, we propose a two-layer NLOS error weakening method. Firstly, k-mediods clustering method is used to preprocess the obtained distance measurements, and some of the measurements containing NLOS errors are replaced with the measurements undisturbed by NLOS transmission. The processed result is processed again with gray Kalman filter, which reduces the process noise and NLOS error. A hybrid Gaussian fitting approach is suggested to determine the propagation conditions and simulate the likelihood of propagation through the residual after calculating the difference between the distance that was filtered and the distance that was measured. The two-sided correction technique changed the findings of the fitting method and the improved particle swarm optimization method. The adaptive Kalman filter was then used to combine the INS and UWB location results to get the final location data. Simulation and experimental results show that the proposed algorithm owns higher localization accuracy and dependability. © 1967-2012 IEEE.

关键词： Inertial navigation systems

来源：评论

学校读者我要写书评

暂无评论

Dual-Antenna GNSS/MEMS INS Tightly Coupled Algorithm for Agricultural Machinery Based on Adaptive Federated Filtering

引用

IEEE Sensors Journal 2025年第9期25卷 14780-14792页

作者： Feng, Yihang Huang, Guanwen Li, Xin Li, Zhenhong Zhang, Kai Li, Hang Jing, Ce Chang’an University College of Geological Engineering and Geomatics Xi’an710054 China Chang’an University College of Geological Engineering and Geomatics Key Laboratory of Ecological Geology and Disaster Prevention Ministry of Natural Resources Xi’an710054 China Universities of Shaanxi Province Engineering Research Center of Intelligent BDS Xi’an710054 China Chang’an University College of Geological Engineering and Geomatics Key Laboratory of Western China’s Mineral Resource and Geological Engineering Ministry of Education Big Data Center for Geosciences and Satellites Xi’an710054 China

Modern agricultural machinery relies on high-accuracy navigation systems;however, the common loosely coupled (LC) solution of dual-antenna global navigation satellite system (GNSS) and micro-electromechanical system inertial navigation system (MEMS INS) often fails to meet accuracy requirements in complex environments. Theoretically, the tightly coupled (TC) solution of the dual-antenna baseline constraint and MEMS INS offers better attitude accuracy. However, its state space is incomplete, comprising only attitude, gyro biases, and ambiguity. Moreover, previous studies have not conducted a state observability analysis on this model, which is essential for understanding its state estimation capabilities. Therefore, we derived the TC model of dual-antenna baseline constraint and MEMS INS within a complete state space and performed an observability analysis. Based on these results and considering computational efficiency, we integrated this model into the GNSS/MEMS INS TC model using federated filtering. To further improve the algorithm’s accuracy in complex agricultural environments, an adaptive robust positioning algorithm is proposed based on turning state detection. The proposed algorithm was validated through three sets of experiments, demonstrating position accuracy within 2 cm in both open and slightly occluded environments, with heading accuracy within 0.6°, and maintaining optimal accuracy even in severely occluded environments. © 2001-2012 IEEE.

关键词： Adaptive filtering

来源：评论

学校读者我要写书评

暂无评论

Ion transport behaviors in MXenes for electrochemical energy storage and conversion

引用

Carbon Energy 2025年第3期7卷 110-132页

作者： Ling Fei Lei Lei Hui Xu Xinghua Guo Bo Chen Xu Han Xun Chen Qing Huang Degao Wang Zhejiang Key Laboratory of Data-Driven High-Safety Energy Materials and Applications Ningbo Key Laboratory of Special Energy Materials and ChemistryNingbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingboChina University of Chinese Academy of Sciences BeijingChina Huzhou Key Laboratory of Green Energy Materials and Battery Cascade Utilization School of Intelligent ManufacturingHuzhou CollegeHuzhouChina Laboratory of Polymers and Composites Ningbo Institute of Materials Technology and Engineering(NIMTE)of the Chinese Academy of Sciences(CAS)NingboZhejiangChina Advanced Interdisciplinary Sciences Research(AIR)Center Ningbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingboChina

MXenes,an innovative class of two-dimensional(2D)materials composed of transition-metal carbides and/or nitrides,have garnered significant interest for their potential in energy storage and conversion applications,which is largely attributed to their modifiable surface terminations,exceptional conductivity,and favorable hydrophilic *** show various ion transport behaviors in applications like electrochemical catalysis,supercapacitors,and batteries,encompassing processes like electrostatic adsorption of surface ions,redox reactions of ions,and interlayer ion *** review aims to present a summary of advancements in the comprehension of ion transport behaviors of Ti_(3)C_(2)T_(x)***,the composition,properties,and synthesis techniques of MXenes are concisely ***,the discussion delves into the mechanisms of ion transport in MXenes during CO_(2)reduction,water splitting,supercapacitor operation,and battery performance,elucidating the factors determining the electrochemical behaviors and ***,a compilation of strategies used to optimize ion transport behaviors in MXenes is *** article concludes by presenting the challenges and opportunities for these fields to facilitate the continued progress of MXenes in energy-related technologies.

关键词： CO_(2)reduction ion transport MXenes storage batteries supercapacitors water splitting

来源：评论

学校读者我要写书评

暂无评论

PBCounter:weighted model counting on pseudo-boolean formulas

引用

Frontiers of Computer Science 2025年第3期19卷 55-63页

作者： Yong LAI Zhenghang XU Minghao YIN College of Computer Science and Technology Jilin UniversityChangchun 130012China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin UniversityChangchun 130012China School of Computer Science and Information Technology Northeast Normal UniversityChangchun 130017China

In Weighted Model Counting(WMC),we assign weights to literals and compute the sum of the weights of the models of a given propositional formula where the weight of an assignment is the product of the weights of its *** current WMC solvers work on Conjunctive Normal Form(CNF)***,CNF is not a natural representation for human-being in many *** by the stronger expressive power of Pseudo-Boolean(PB)formulas than CNF,we propose to perform WMC on PB *** on a recent dynamic programming algorithm framework called ADDMC for WMC,we implement a weighted PB counting tool *** compare PBCounter with the state-of-the-art weighted model counters SharpSAT-TD,ExactMC,D4,and ADDMC,where the latter tools work on CNF with encoding methods that convert PB constraints into a CNF *** experiments on three domains of benchmarks show that PBCounter is superior to the model counters on CNF formulas.

关键词： weighted model counting pseudo-boolean constraint algebraic decision diagrams preprocessing techniques

来源：评论

学校读者我要写书评

暂无评论

Recognition of tea sprouts based on improved deeplabV3 + model

引用

Multimedia Tools and Applications 2025年 1-18页

作者： Liu, Ruixin Wang, Dengzhun Chen, Zhonghui Li, Zhilin Xiao, Hui Yan, Chunyu Yan, Jianwei Lu, Ping Xie, Benliang College of Big Data and Information Engineering Guizhou University Guiyang550025 China Power Semiconductor Device Reliability Engineering Center of the Ministry of Education Guiyang550025 China College of Mechanical Engineering Guizhou University Guiyang550025 China State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering Key Laboratory of Green Pesticide and Agricultural Bioengineering Ministry of Education Guizhou University Guiyang550025 China

The recognition of tea sprouts is the premise of realize the intelligence of the premium tea picking. DeepLabV3 +, as the latest semantic segmentation algorithm of DeepLab family, can well recognize the tea sprouts in images. However, the model still has the problem of large number of parameters, and there is still room for improvements in segmentation accuracy and speed. To solve the multi-label recognition and segmentation of background, single bud, one leaf and two leaves in the tea sprout images, an improved deep convolutional neural network algorithm is proposed. This method realizes the recognition of different postures of high-quality tea sprouts on the premise of efficiency and accuracy. The DMResNet18 model is used as the feature extraction network to lightweight the network model and increase the segmentation speed. The feature joint attention network is added to optimize the spatial weights and channel weights of the model, which improves the accuracy of segmentation. Additionally, the low-level feature fusion method is applied to obtain rich initial global information of features and improves the overall performance of the model. The results show that the segmentation accuracy of improved DeepLabV3 + model reaches 92.58%, which is improved by 4.26% compared with the original DeepLabV3 + model. The model size and the speed of detection are improved by 80.67% and 52.24%, respectively. The proposed method offers a solution for the intelligent recognition of tea sprouts. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.

关键词： Semantic Segmentation

来源：评论

学校读者我要写书评

暂无评论

Versatile manipulation of orbital angular momentum combs enabled by diffractive neural networks

引用

Optics Express 2025年第4期33卷 6771-6787页

作者： Ruan, Zhengsen Yan, Ruize Zhang, Jinlong Yin, Xukun Liu, Lixian Liang, Yize Xu, Huailiang Zhejiang Key Laboratory of Big Data and Future E-Commerce Technology Zhejiang Gongshang University Zhejiang Hangzhou310018 China School of Optoelectronic Engineering Xidian University Xi’an710071 China

The orbital angular momentum (OAM) of light, which can be created through the helical phase front, has attracted significant attention and found numerous applications in both classical and quantum optics. The manipulation of light’s OAM has evolved from the generation of a single OAM mode to the simultaneous generation of multiple OAM modes. As a typical kind of multiple OAM superposition mode, an OAM comb features a discrete, equispaced OAM spectrum. Similar to how optical frequency combs promoted many technical revolutions in optics, such an OAM comb may likewise pave the way for OAM-related applications. Here, we propose an approach to versatilely manipulating OAM combs based on a two-layer fully connected diffractive neural network (DNN). We achieve four kinds of manipulation and transformations on OAM combs, including four arithmetic operations, square and square root operations, high-pass/low-pass/band-pass filtering, and arbitrary transformation between two OAM combs, etc. All four kinds of manipulation reach an average accuracy of 99.65% and the lowest accuracy of over 99%. Our work may advance the research on OAM combs and open new prospects for applications based on OAM comb sources. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Quantum optics

来源：评论

学校读者我要写书评

暂无评论

Source Characteristics and Induced Hazards of the 2025 M6.8 Dingri Earthquake,Xizang,China,Revealed by Imaging Geodesy

引用

Journal of Earth Science 2025年第2期36卷 847-851页

作者： Chen Yu Zhenhong Li Xiaoning Hu Chuang Song Suju Li Haihui Liu Jie Li Bingquan Han Zhenjiang Liu Ming Liu Shuang Zhu Xiaoye Hao Zhiyuan Li Jianbing Peng College of Geological Engineering and Geomatics Chang'an UniversityXi'an 710054China Key Laboratory of Loess Xi'an 710054China Key Laboratory of Western China's Mineral Resources and Geological Engineering Ministry of EducationXi'an 710054China Big Data Center for Geosciences and Satellites Chang'an UniversityXi'an 710054China National Disaster Reduction Center of China Beijing 100124China

0 *** to the China Earthquake Networks Center,an M6.8 earthquake struck Dingri County,Xizang Autonomous Region,China,on 7 January 2025 at 9:05 *** *** epicenter is located at 28.5°N,87.45°E,with a depth of~1... 详细信息

关键词： source characteristics M earthquake Xizang imaging geodesy induced hazards Dingri China

来源：评论

学校读者我要写书评

暂无评论

Advances in Robust Federated Learning: A Survey With Heterogeneity Considerations

引用

IEEE Transactions on Big data 2025年第3期11卷 1548-1567页

作者： Chen, Chuan Liao, Tianchi Deng, Xiaojun Wu, Zihou Huang, Sheng Zheng, Zibin Sun Yat-sen University School of Computer Science and Engineering Guangdong Key Laboratory of Big Data Analysis and Processing Guangzhou510006 China Sun Yat-sen University School of Software Engineering Zhuhai519000 China Sun Yat-sen University School of Computer Science and Engineering Guangzhou510006 China Sun Yat-sen University School of Systems Science and Engineering Guangzhou510006 China Sun Yat-sen University School of Software Engineering Zhuhai Key Laboratory of Trusted Large Language Models Zhuhai519000 China

In the field of heterogeneous federated learning (FL), the key challenge is to efficiently and collaboratively train models across multiple clients with different data distributions, model structures, task objectives, computational capabilities, and communication resources. This diversity leads to significant heterogeneity, which increases the complexity of model training. In this paper, we first outline the basic concepts of heterogeneous FL and summarize the research challenges in FL in terms of five aspects: data, model, task, device and communication. In addition, we explore how existing state-of-the-art approaches cope with the heterogeneity of FL, and categorize and review these approaches at three different levels: data-level, model-level, and architecture-level. Subsequently, the paper extensively discusses privacy-preserving strategies in heterogeneous FL environments. Finally, the paper discusses current open issues and directions for future research, aiming to promote the further development of heterogeneous FL. © 2015 IEEE.

关键词： Federated 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：