检索结果-内蒙古大学图书馆

Towards machine-learning-driven effective mashup recommendations from big data in mobile networks and the Internet-of-Things

引用

Digital Communications and Networks 2023年第1期9卷 138-145页

作者： Yueshen Xu Zhiying Wang Honghao Gao Zhiping Jiang Yuyu Yin Rui Li School of Computer Science and Technology Xidian UniversityXi'an710126China School of Computer Engineering and Science Shanghai UniversityShanghai200444China School of Computer Science and Technology Hangzhou Dianzi UniversityHangzhou310018China

A large number of Web APIs have been released as services in mobile communications,but the service provided by a single Web API is usually *** enrich the services in mobile communications,developers have combined Web APIs and developed a new service,which is known as a *** emergence of mashups greatly increases the number of services in mobile communications,especially in mobile networks and the Internet-of-Things(IoT),and has encouraged companies and individuals to develop even more mashups,which has led to the dramatic increase in the number of *** a trend brings with it big data,such as the massive text data from the mashups themselves and continually-generated usage ***,the question of how to determine the most suitable mashups from big data has become a challenging *** this paper,we propose a mashup recommendation framework from big data in mobile networks and the *** proposed framework is driven by machine learning techniques,including neural embedding,clustering,and matrix *** employ neural embedding to learn the distributed representation of mashups and propose to use cluster analysis to learn the relationship among the *** also develop a novel Joint Matrix Factorization(JMF)model to complete the mashup recommendation task,where we design a new objective function and an optimization *** then crawl through a real-world large mashup dataset and perform *** experimental results demonstrate that our framework achieves high accuracy in mashup recommendation and performs better than all compared baselines.

关键词： Mashup recommendation Big data Machine learning Mobile networks Internet-of-Things

来源：评论

学校读者我要写书评

暂无评论

An efficient schedulability analysis based on worst-case interference time for real-time systems

引用

science China(Information sciences) 2024年第9期67卷 88-104页

作者： Hongbiao LIU Mengfei YANG Lei QIAO Xi CHEN Jian GONG School of Computer Science and Technology Xidian University China Academy of Space Technology Beijing Institute of Control Engineering

Real-time systems are widely implemented in the Internet of Things(IoT) and safety-critical systems, both of which have generated enormous social value. Aiming at the classic schedulability analysis problem in real-time systems, we proposed an exact Boolean analysis based on interference(EBAI) for schedulability analysis in real-time systems. EBAI is based on worst-case interference time(WCIT), which considers both the release jitter and blocking time of the task. We improved the efficiency of the three existing tests and provided a comprehensive summary of related research results in the field. Abundant experiments were conducted to compare EBAI with other related results. Our evaluation showed that in certain cases, the runtime gain achieved using our analysis method may exceed 73% compared to the stateof-the-art schedulability test. Furthermore, the benefits obtained from our tests grew with the number of tasks, reaching a level suitable for practical application. EBAI is oriented to the five-tuple real-time task model with stronger expression ability and possesses a low runtime overhead. These characteristics make it applicable in various real-time systems such as spacecraft, autonomous vehicles, industrial robots, and traffic command systems.

关键词： five-tuple real-time task model real-time system spacecraft Internet of Things exact schedulability analysis worst-case interference time

来源：评论

学校读者我要写书评

暂无评论

Efficient Docker-Based Resource Management for CPU-Intensive Tasks in Edge-Cloud Computing

Efficient Docker-Based Resource Management for CPU-Intensive...

引用

2024 International Conference on Artificial Intelligence of Things and Systems, AIoTSys 2024

作者： Wang, Wei Zhang, Yongmin She, Liang Liu, Jiagang Jing, Yao Woldeyes, Surafel Kifetew School of Computer Science and Engineering Central South University ChangSha China School of Computer Science and Engineering Hunan University of Technology and Business ChangSha China School of Computer Science and Engineering Hunan Institute of Technology HengYang China

ISBN: (纸本)9798331507886

Edge-cloud computing integrating the advantages of edge and cloud to provide high-quality services for mobile users is one of the hotspots recently. However, the increasing number of applications brings various tasks with different resource requirements, potentially leading to poor computing performance in Edge-cloud systems with fixed resource configurations, especially for tasks that are heavily reliant on CPU resources. To enhance computing performance, we first characterize the correlation between computing delay and CPU resources for CPU-intensive tasks based on Dockers technology. Then, we investigate a Docker-based resource management framework to handle task allocation, resource collaboration, and configuration for the edge-cloud computing system, where edge servers can allocate tasks to the cloud and purchase collaborative resources from the cloud while adjusting the configured number of Dockers. In such a way, edge servers can maximize their utility while ensuring quality of service. Based on the intersections between edge servers and the cloud, we formulate a utility maximization problem for edge servers that involves the expected allocated tasks to the cloud, collaborative CPU resources, and the configured number of Dockers, which is NP-hard. Next, based on the correlation analysis between the utility of edge servers and the optimized variables, we propose an effective task allocation and resource management scheme by alternating iterations to obtain the optimal solutions. Finally, we conduct extensive simulation results to show the performance of the proposed scheme in maximizing the utility of edge servers compared to other benchmarks. © 2024 IEEE.

关键词： Mobile edge computing

来源：评论

学校读者我要写书评

暂无评论

Competition for gradient-free tuning of large language models:approaches, results, current challenges and future directions

引用

National science Review 2023年第6期10卷 16-19页

作者： Tingfeng Cao Liang Chen Dixiang Zhang Tianxiang Sun Zhengfu He Xipeng Qiu Xing Xu Hai Zhang School of Software Engineering South China University of Technology School of Computer Science Fudan University School of Computer Science and Engineering University of Electronic Science and Technology of China Pazhou Laboratory (Huangpu) School of Mathematics Northwest University

PROBLEM Recent years have witnessed the rapid progress of self-supervised language models (LMs)[1],especially large language models (LLMs)[2].LLMs not only achieved state-of-the-art performance on many natural language processing tasks,but also captured widespread attention from the public due to their great potential in a variety of real-world applications (***,search engines,writing assistants,etc.)through providing general-purpose intelligent services.A few of the LLMs are becoming foundation models,an analogy to infrastructure,that empower hundreds of downstream applications.

关键词：

来源：评论

学校读者我要写书评

暂无评论

From Extraction to Generation: Multimodal Emotion-Cause Pair Generation in Conversations

引用

IEEE Transactions on Affective Computing 2024年第2期16卷 1-12页

作者： Ma, Heqing Yu, Jianfei Wang, Fanfan Cao, Hanyu Xia, Rui School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing Jiangsu China

As an important task in emotion analysis, Multimodal Emotion-Cause Pair Extraction in conversations (MECPE) aims to extract all the emotion-cause utterance pairs from a conversation. However, there are two shortcomings in the MECPE task: 1) it ignores emotion utterances whose causes cannot be located in the conversation but require contextualized inference;2) it fails to locate the exact causes that occur in vision or audio modalities beyond text. To address these issues, in this paper, we introduce a new task named Multimodal Emotion-Cause Pair Generation in Conversations (MECPG), which aims to identify the emotion utterances with their emotion categories and generate their corresponding causes in a conversation. To tackle the MECPG task, we construct a dataset based on a benchmark corpus for MECPE. We further propose a generative framework named MONICA, which jointly performs emotion recognition and emotion cause generation with a sequence-to-sequence model. Experiments on our annotated dataset show the superiority of MONICA over several competitive systems. Our dataset and source codes will be publicly released. IEEE

关键词： Emotion Recognition

来源：评论

学校读者我要写书评

暂无评论

Performance issue monitoring, identification and diagnosis of SaaS software:a survey

引用

Frontiers of computer science 2025年第1期19卷 71-95页

作者： Rui WANG Xiangbo TIAN Shi YING College of Mining and Safety Engineering Shandong University of Science and TechnologyQingdao 266590China School of Computer Science Wuhan UniversityWuhan 430072China

SaaS (Software-as-a-Service) is a service model provided by cloud computing. It has a high requirement for QoS (Quality of Software) due to its method of providing software service. However, manual identification and diagnosis for performance issues is typically expensive and laborious because of the complexity of the application software and the dynamic nature of the deployment environment. Recently, substantial research efforts have been devoted to automatically identifying and diagnosing performance issues of SaaS software. In this survey, we comprehensively review the different methods about automatically identifying and diagnosing performance issues of SaaS software. We divide them into three steps according to their function: performance log generation, performance issue identification and performance issue diagnosis. We then comprehensively review these methods by their development history. Meanwhile, we give our proposed solution for each step. Finally, the effectiveness of our proposed methods is shown by experiments.

关键词： SaaS software performance log generation performance issue identification performance issue diagnosis

来源：评论

学校读者我要写书评

暂无评论

Multi-scale persistent spatiotemporal transformer for long-term urban traffic flow prediction

引用

Journal of Electronic science and technology 2024年第1期22卷 53-69页

作者： Jia-Jun Zhong Yong Ma Xin-Zheng Niu Philippe Fournier-Viger Bing Wang Zu-kuan Wei School of Computer Science and Engineering University of Electronic Science and Technology of ChinaChengdu611731China College of Computer Science&Software Engineering Shenzhen UniversityShenzhen518060China School of Computer Science Southwest Petroleum UniversityChengdu610500China

Long-term urban traffic flow prediction is an important task in the field of intelligent transportation,as it can help optimize traffic management and improve travel *** improve prediction accuracy,a crucial issue is how to model spatiotemporal dependency in urban traffic *** recent years,many studies have adopted spatiotemporal neural networks to extract key information from traffic ***,most models ignore the semantic spatial similarity between long-distance areas when mining spatial *** also ignore the impact of predicted time steps on the next unpredicted time step for making long-term ***,these models lack a comprehensive data embedding process to represent complex spatiotemporal *** paper proposes a multi-scale persistent spatiotemporal transformer(MSPSTT)model to perform accurate long-term traffic flow prediction in *** adopts an encoder-decoder structure and incorporates temporal,periodic,and spatial features to fully embed urban traffic data to address these *** model consists of a spatiotemporal encoder and a spatiotemporal decoder,which rely on temporal,geospatial,and semantic space multi-head attention modules to dynamically extract temporal,geospatial,and semantic *** spatiotemporal decoder combines the context information provided by the encoder,integrates the predicted time step information,and is iteratively updated to learn the correlation between different time steps in the broader time range to improve the model’s accuracy for long-term *** on four public transportation datasets demonstrate that MSPSTT outperforms the existing models by up to 9.5%on three common metrics.

关键词： Graph neural network Multi-head attention mechanism Spatio-temporal dependency Traffic flow prediction

来源：评论

学校读者我要写书评

暂无评论

An Improved Multi-objective Artificial Hummingbird Algorithm for Capacity Allocation of Supercapacitor Energy Storage Systems in Urban Rail Transit

引用

Journal of Bionic engineering 2025年第2期22卷 866-883页

作者： Xin Wang Jian Feng Yuxin Qin College of Electrical and Information Engineering Hunan University of TechnologyZhuzhou412007HunanChina Hunan Engineering Research Centre of Electrical Drive and Regenerative Energy Storage and Utilization Zhuzhou412007HunanChina School of Computer Science University of GlasgowGlasgowG128QQScotlandUK

To address issues such as poor initial population diversity, low stability and local convergence accuracy, and easy local optima in the traditional Multi-Objective Artificial Hummingbird Algorithm (MOAHA), an Improved MOAHA (IMOAHA) was proposed. The improvements involve Tent mapping based on random variables to initialize the population, a logarithmic decrease strategy for inertia weight to balance search capability, and the improved search operators in the territory foraging phase to enhance the ability to escape from local optima and increase convergence accuracy. The effectiveness of IMOAHA was verified through Matlab/Simulink. The results demonstrate that IMOAHA exhibits superior convergence, diversity, uniformity, and coverage of solutions across 6 test functions, outperforming 4 comparative algorithms. A Wilcoxon rank-sum test further confirmed its exceptional performance. To assess IMOAHA’s ability to solve engineering problems, an optimization model for a multi-track, multi-train urban rail traction power supply system with Supercapacitor Energy Storage Systems (SCESSs) was established, and IMOAHA was successfully applied to solving the capacity allocation problem of SCESSs, demonstrating that it is an effective tool for solving complex Multi-Objective Optimization Problems (MOOPs) in engineering domains.

关键词： Multi-objective artificial hummingbird algorithm Tent mapping based on random variables Urban rail transit Supercapacitor energy storage systems Capacity allocation

来源：评论

学校读者我要写书评

暂无评论

An Energy Efficient Access and Handover Authentication Scheme for 6G Satellite-Terrestrial Integrated Network

IEEE Transactions on Green Communications and Networking

引用

IEEE Transactions on Green Communications and Networking 2024年第2期9卷 1-1页

作者： Xu, Zisang Peng, Hao Gu, Ke Li, Xiong Huang, Peng School of Computer and Communication Engineering Changsha University of Science and Technology Changsha China School of Computer Science and Engineering Institute for Cyber Security University of Electronic Science and Technology of China Chengdu China

6G Satellite-Terrestrial Integrated Network (STIN) extends connectivity services globally, attracting an increasing number of users to access the Internet with its advantages of wide coverage, high speed, and large capacity. However, the complex communication environments, such as link exposure and high dynamics of satellites in the network, pose challenges to designing authentication schemes that are applicable to 6G STIN. Although researchers have proposed many authentication schemes for 6G STIN, most of them have only focused on access authentication, which cannot guarantee the stability of subsequent communications. A few schemes have considered providing seamless services through handover authentication, but they still face issues such as security vulnerabilities and high energy consumption. To tackle these issues, this paper proposes an energy efficient authentication scheme for 6G STIN, capable of achieving mutual authentication between entities and negotiating a secure session key. Additionally, it designs a handover mechanism that is more suitable for 6G STIN and supports handover authentication for multiple users. Through security analysis, our scheme is proven to withstand various attacks, and its security is further verified using the ProVerif tool. Performance analysis shows that our scheme has lower authentication latency and communication overhead, while reducing energy consumption and ensuring security. IEEE

关键词： Authentication Protocol

来源：评论

学校读者我要写书评

暂无评论

Sawtooth-enhanced bend sensor for gesture recognition

引用

science China(Technological sciences) 2024年第6期67卷 1727-1736页

作者： BAI YanRu ZHANG ZiHang WANG HaoYu GUO Rui LI XiSheng School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing100083China School of Advanced Engineering University of Science and Technology BeijingBeijing100083China School of Precision Instrument and Opto-Electronics Engineering Tianjin UniversityTianjin300072China School of Computer and Communication Engineering University of Science and Technology BeijingBeijing100083China

Gesture recognition has diverse application prospects in the field of human-computer ***,gesture recognition devices based on strain sensors have achieved remarkable results,among which liquid metal materials have considerable advantages due to their high tensile strength and *** improve the detection sensitivity of liquid metal strain sensors,a sawtooth-enhanced bending sensor is proposed in this *** with the results from previous studies,the bending sensor shows enhanced resistance *** addition,combined with machine learning algorithms,a gesture recognition glove based on the sawtooth-enhanced bending sensor is also fabricated in this study,and various gestures are accurately *** the fields of human-computer interaction,wearable sensing,and medical health,the sawtooth-enhanced bending sensor shows great potential and can have wide application prospects.

关键词： liquid metal bending sensor gesture recognition machine 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：