检索结果-内蒙古大学图书馆

Distant supervision knowledge extraction and knowledge graph construction method for supply chain management domain

Autonomous Intelligent Systems 2024年第1期4卷 307-319页

作者： Feiyue Huang Lianglun Cheng School of Computer Science and Technology Guangdong University of TechnologyGuangzhou510006China

As the core competitiveness of the national industry,large-scale equipment such as ships,high-speed rail and nuclear power equipment,their production process involves in-depth *** includes complex processes and long manufacturing *** addition,the equipment’s supply chain management is extremely ***,the development of a supply chain management knowledge graph is of significant strategic *** not only enhances the synergistic effect of the supply chain management but also upgrades the level of intelligent *** paper proposes a distant supervision knowledge extraction and knowledge graph construction method in the supply chain management of large equipment manufacturing,which achieves digital and structured management and efficient use of supply chain management knowledge in the *** paper presents an approach to extract entity-relation knowledge using limited *** achieve this by establishing a distant supervision ***,we introduce a fusion gate mechanism and integrate ontology information,thereby enhancing the model’s capability to effectively discern sentence-level ***,we promptly modify the weights of input features using the gate mechanism to strengthen the model’s resilience and address the issue of vector noise ***,an inter-bag sentence attention mechanism is introduced to integrate different sentence bag information at the sentence bag level,which achieves more accurate entity-relation knowledge *** experimental results prove that compared with the latest distant supervision method,the accuracy of relation extraction is improved by 2.8%,and the AUC value is increased by 3.9%,effectively improving the quality of knowledge graph in supply chain management.

关键词： Large equipment manufacturing Supply chain management Knowledge graph Distant supervision Relation extraction

来源：评论

学校读者我要写书评

暂无评论

Influence of liquid bridge force on physical stability during fuel storage and transportation

引用

Defence technology（防务技术） 2023年第11期29卷 106-116页

作者： Chi Zhang Chun-hua Bai Jia-fan Ren Jian Yao State Key Laboratory of Explosion Science and Technology Beijing Institute of TechnologyBeijing100081China School of Mechanical Engineering Nanjing University of Science and TechnologyNanjing210094China

The physical stability of solid-liquid fuel is a factor that needs to be considered for fuel product practicability for storage and transportation. To determine the Influence of liquid bridge force on physical stability, two detection devices were designed. The laws obtained from microscopic experiments are used to verify the physical stability of fuel under different component ratios. The liquid bridge force is found to increase with the droplet volume. Multiliquid bridges above one critical saturation can generate significant resultant forces compared to single-liquid bridges of the same volume. There exist four states of solid-liquid mixed fuel with increasing liquid saturation rate. The liquid bridge force between the solid and liquid plays a dominant role in the physical stability of the first three states. There may be two stages involved in the stratification process for state 4 fuel, and the liquid viscosity is another factor that cannot be ignored. In the process of selecting a fuel ratio, a larger liquid bridge force between the components can be obtained by properly improving the wetting effect so that the fuel shows better physical stability.

关键词： Liquid bridge force Fuel physical stability Multiliquid bridge resultant forces Mixed fuel stratification

来源：评论

学校读者我要写书评

暂无评论

Age-of-Information-Aware Federated Learning

引用

Journal of computer science & technology 2024年第3期39卷 637-653页

作者：徐殷肖明军吴晨吴杰周津锐孙贺 Student Member CCF 1.School of Computer Science and TechnologyUniversity of Science and Technology of ChinaHefei 230026China Suzhou Institute for Advanced Research University of Science and Technology of ChinaSuzhou 215123China School of Data Science University of Science and Technology of ChinaHefei 230026China Department of Computer and Information Sciences Temple UniversityPhiladelphiaPA 19122U.S.A. CCF IEEE

Federated learning(FL)is an emerging privacy-preserving distributed computing paradigm,enabling numerous clients to collaboratively train machine learning models without the necessity of transmitting clients’private datasets to the central *** most existing research where the local datasets of clients are assumed to be unchanged over time throughout the whole FL process,our study addresses such scenarios in this paper where clients’datasets need to be updated periodically,and the server can incentivize clients to employ as fresh as possible datasets for local model *** primary objective is to design a client selection strategy to minimize the loss of the global model for FL loss within a constrained *** this end,we introduce the concept of“Age of Information”(AoI)to quantitatively assess the freshness of local datasets and conduct a theoretical analysis of the convergence bound in our AoI-aware FL *** on the convergence bound,we further formulate our problem as a restless multi-armed bandit(RMAB)***,we relax the RMAB problem and apply the Lagrangian Dual approach to decouple it into multiple ***,we propose a Whittle’s Index Based Client Selection(WICS)algorithm to determine the set of selected *** addition,comprehensive simulations substantiate that the proposed algorithm can effectively reduce training loss and enhance the learning accuracy compared with some state-of-the-art methods.

关键词： federated learning Age of Information restless multi-armed bandit Whittle’s index

来源：评论

学校读者我要写书评

暂无评论

Characterizing the app recommendation relationships in the iOS app store: a complex network's perspective

引用

science China(Information sciences) 2025年第4期68卷 284-299页

作者： Gang HUANG Fuqi LIN Yun MA Haoyu WANG Qingxiang WANG Gareth TYSON Xuanzhe LIU Key Lab of High Confidence Software Technologies (Peking University) Ministry of Education School of Computer Science Peking University Institute for Artificial Intelligence Peking University School of Cyber Science and Engineering Huazhong University of Science and Technology Alibaba Group Hong Kong University of Science and Technology (Guangzhou)

Mobile apps have become widely adopted in our daily lives. To facilitate app discovery, most app markets provide recommendations for users, which may significantly impact how apps are accessed. However, little has been known about the underlying relationships and how they reflect(or affect) user behaviors. To fill this gap, we characterize the app recommendation relationships in the i OS app store from the perspective of the complex network. We collect a dataset containing over 1.3 million apps and 50 million app recommendations. This dataset enables us to construct a complex network that captures app recommendation relationships. Through this, we explore the recommendation relationships between mobile apps and how these relationships reflect or affect user behavior patterns. The insights gained from our research can be valuable for understanding typical user behaviors and identifying potential policy-violating apps.

关键词： mobile app recommendation complex network user behavior policy-violating app

来源：评论

学校读者我要写书评

暂无评论

Image detection method for multi-category lesions in wireless capsule endoscopy based on deep learning models

引用

World Journal of Gastroenterology 2024年第48期30卷 5111-5129页

作者： Zhi-Guo Xiao Xian-Qing Chen Dong Zhang Xin-Yuan Li Wen-Xin Dai Wen-Hui Liang School of Computer Science Technology Changchun UniversityChangchun 130022Jilin ProvinceChina School of Computer Science Technology Beijing Institute of TechnologyBeijing 100811China

BACKGROUND Wireless capsule endoscopy(WCE)has become an important noninvasive and portable tool for diagnosing digestive tract diseases and has been propelled by advancements in medical imaging ***,the complexity of the digestive tract structure,and the diversity of lesion types,results in different sites and types of lesions distinctly appearing in the images,posing a challenge for the accurate identification of digestive tract *** To propose a deep learning-based lesion detection model to automatically identify and accurately label digestive tract lesions,thereby improving the diagnostic efficiency of doctors,and creating significant clinical application *** In this paper,we propose a neural network model,WCE_Detection,for the accurate detection and classification of 23 classes of digestive tract lesion ***,since multicategory lesion images exhibit various shapes and scales,a multidetection head strategy is adopted in the object detection network to increase the model's robustness for multiscale lesion ***,a bidirectional feature pyramid network(BiFPN)is introduced,which effectively fuses shallow semantic features by adding skip connections,significantly reducing the detection error *** the basis of the above,we utilize the Swin Transformer with its unique self-attention mechanism and hierarchical structure in conjunction with the BiFPN feature fusion technique to enhance the feature representation of multicategory lesion *** The model constructed in this study achieved an mAP50 of 91.5%for detecting 23 *** than eleven single-category lesions achieved an mAP50 of over 99.4%,and more than twenty lesions had an mAP50 value of over 80%.These results indicate that the model outperforms other state-of-the-art models in the end-to-end integrated detection of human digestive tract lesion *** The deep learning-based object detection network detects multiple digestive tract lesi

关键词： Human digestive tract Artificial intelligence Deep learning Wireless capsule endoscopy Object detection

来源：评论

学校读者我要写书评

暂无评论

Assessing the Applicability of Multi-Source Precipitation Products over the Chinese Mainland and Its Seven Regions

引用

Journal of Tropical Meteorology 2024年第3期30卷 275-288页

作者： TIAN Wei WU Yun-long LIN Chen ZHANG Jing-guo LIM KAM SIAN Kenny Thiam Choy School of Computer and Software Nanjing University of Information Science&TechnologyNanjing 210044 China School of Atmospheric Science and Remote Sensing Wuxi UniversityWuxiJiangsu 214105 China

Satellite-based and reanalysis precipitation products provide valuable information for various ***,their performance varies widely across regions due to different data sources and production *** paper evaluated the daily performance of four precipitation products(MSWEP,ERA5,PERSIANN,and TRMM)for seven regions of the Chinese mainland,using observations from 2462 ground stations across the country as a *** used four statistical and four classification indicators to describe their spatial and temporal accuracy,and capability to detect precipitation events while analyzing their *** results show that according to the precipitation char-acteristics and accuracy of different types of precipitation products over the Chinese mainland,MSWEP was the most suitable product over the Chinese mainland,having the lowest root mean square error and mean absolute error,along with the highest coefficient of *** was followed by TRMM and ERA5,whereas PERSIANN lagged behind in terms of *** terms of different regions,MSWEP still performed well,especially in North China and East *** accuracy of the four precipitation products was relatively low in the summer months,and they all overestimated in the northwest *** other months,MSWEP and TRMM were better than PERSIANN and *** four precipitation products had good detection performance over the Chinese mainland,with probability of detection above ***,with the increase of precipitation threshold,the detection capability of the four products decreased,and MSWEP and ERA5 had good detection capability for moderate ***’s detection capability for heavy rain and rainstorms was better than that of the other three products,and PERSIANN’s detection capability for moderate rain,heavy rain and rainstorms was relatively poor,with a large deviation.

关键词： precipitation product MSWEP TRMM ERA5 PERSIANN

来源：评论

学校读者我要写书评

暂无评论

ROSE: A Receiver-Oriented Semantic Communication Framework

引用

IEEE Network 2024年第2期39卷 1-1页

作者： Tian, Zhiyi Zhang, Chenhan Wang, Weiqi Bogucka, Hanna Yu, Shui School of Computer Science University of Technology Sydney Australia Poznan University of Technology Poland

Semantic communication (SemCom) is an emerging paradigm focusing on the meaning of transmitted symbols for effective communications. Existing SemCom methods necessitate the collaborative construction of a shared common dataset to train semantic encoders and decoders before communications. Unfortunately, the prerequisite limits the application of SemCom due to the difficulty of maintaining a shared dataset. Moreover, the synchronous training paradigm based on the shared dataset also confines existing SemCom to a pairwise mode. In this article, we focus on establishing SemCom in the absence of a shared dataset. We assume that communication participants each possess a non-independent and identically distributed (non-IID) private dataset. We propose a Receiver-Oriented SEmantic communication framework (ROSE). Specifically, in our framework, the receiver first independently trains her encoder and decoder, and publishes the trained encoder and decoder. When a sender expects to communicate with the receiver, he obtains the receiver’s codecs and combines them with his own private dataset to train an encoder for the upcoming communication. Through an implement case study, we demonstrated that the proposed framework can achieve state-of-the-art communication performance without shared common dataset between communication parties. We also present a further discussion on the possibilities and challenges in this new communication paradigm. IEEE

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

Event-based nonsingular fixed-time containment control for nonlinear multiagent systems with dynamic uncertainties

引用

science China(Information sciences) 2025年第5期68卷 413-414页

作者： Yuanbo SU Qihe SHAN Tieshan LI C.L.Philip CHEN Navigation College Dalian Maritime University School of Automation Engineering University of Electronic Science and Technology of China School of Computer Science and Engineering South China University of Technology

Owing to the extensive applications in many areas such as networked systems,formation flying of unmanned air vehicles,and coordinated manipulation of multiple robots,the distributed containment control for nonlinear multiagent systems (MASs) has received considerable attention,for example [1,2].Although the valued studies in [1,2] investigate containment control problems for MASs subject to nonlinearities,the proposed distributed nonlinear protocols only achieve the asymptotic *** a crucial performance indicator for distributed containment control of MASs,the fast convergence is conducive to achieving better control accuracy [3].The work in [4] first addresses the backstepping-based adaptive fuzzy fixed-time containment tracking problem for nonlinear high-order MASs with unknown external ***,the designed fixedtime control protocol [4] cannot escape the singularity problem in the backstepping-based adaptive control *** is well known,the singularity problem has become an inherent problem in the adaptive fixed-time control design,which may cause the unbounded control inputs and even the instability of controlled ***,how to solve the nonsingular fixed-time containment control problem for nonlinear MASs is still open and awaits breakthrough to the best of our knowledge.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Multi-Strategy Grey Wolf Optimization Algorithm for Global Optimization and Engineering Applications

引用

Journal of Systems science and Systems Engineering 2025年第2期34卷 203-230页

作者： Likai Wang Qingyang Zhang Shengxiang Yang Yongquan Dong School of Computer Science and Technology Jiangsu Normal UniversityXuzhou 221000China School of Computer Science and Informatics De Montfort UniversityLeicesterLE19BHLeicesterUK

The grey wolf optimizer(GWO),a population-based meta-heuristic algorithm,mimics the predatory behavior of grey wolf *** exploring and introducing improvement mechanisms is one of the keys to drive the development and application of GWO *** overcome the premature and stagnation of GWO,the paper proposes a multiple strategy grey wolf optimization algorithm(MSGWO).Firstly,an variable weights strategy is proposed to improve convergence rate by adjusting the weights ***,this paper proposes a reverse learning strategy,which randomly reverses some individuals to improve the global search ***,the chain predation strategy is designed to allow the search agent to be guided by both the best individual and the previous ***,this paper proposes a rotation predation strategy,which regards the position of the current best individual as the pivot and rotate other members for enhacing the exploitation *** verify the performance of the proposed technique,MSGWO is compared with seven state-of-the-art meta-heuristics and four variant GWO algorithms on CEC2022 benchmark functions and three engineering optimization *** results demonstrate that MSGWO has better performance on most of benchmark functions and shows competitive in solving engineering design problems.

关键词： Grey wolf optimizer variable weights reverse learning chain predation rotation predation

来源：评论

学校读者我要写书评

暂无评论

Dimensional-noise-aware battery lifetime prediction via an EM-TLS framework

引用

Progress in Natural science:Materials International 2025年第1期35卷 146-155页

作者： Chenlong Yu Ting Lu Guohua Liu Xiaoang Zhai Wuyan Deng Jiayu Wan Yang Liu Xin Li School of Computer Science and Technology Donghua University Future Battery Research Center Global Institute of Future Technology Shanghai Jiaotong University Data Science Research Center Duke Kunshan University

Machine learning has been massively utilized to construct data-driven solutions for predicting the lifetime of rechargeable batteries in recent years, which project the physical measurements obtained during the early charging/discharging cycles to the remaining useful lifetime. While most existing techniques train the prediction model through minimizing the prediction error only, the errors associated with the physical measurements can also induce negative impact to the prediction accuracy. Although total-least-squares(TLS) regression has been applied to address this issue, it relies on the unrealistic assumption that the distributions of measurement errors on all input variables are equivalent, and cannot appropriately capture the practical characteristics of battery degradation. In order to tackle this challenge, this work intends to model the variations along different input dimensions, thereby improving the accuracy and robustness of battery lifetime prediction. In specific, we propose an innovative EM-TLS framework that enhances the TLS-based prediction to accommodate dimension-variate errors, while simultaneously investigating the distributions of them using expectation-maximization(EM). Experiments have been conducted to validate the proposed method based on the data of commercial Lithium-Ion batteries, where it reduces the prediction error by up to 29.9 % compared with conventional TLS. This demonstrates the immense potential of the proposed method for advancing the R&D of rechargeable batteries.

关键词： Battery lifetime prediction Dimension-variate measurement error Energy storage Expectation-maximization Total-least-squares regression

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：