检索结果-内蒙古大学图书馆

Reliable Task Offloading for 6G-Based IoT Applications

Computers, Materials & Continua 2025年第2期82卷 2255-2274页

作者： Usman Mahmood Malik Muhammad Awais Javed Ahmad Naseem Alvi Mohammed Alkhathami Department of Computer Software Engineering National University of Science and Technology(NUST)Islamabad44000Pakistan Department of Electrical and Computer Engineering COMSATS University IslamabadIslamabad45550Pakistan Information Systems Department College of Computer and Information SciencesImam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia

Fog computing is a key enabling technology of 6G systems as it provides quick and reliable computing,and data storage services which are required for several 6G *** Intelligence(AI)algorithms will be an integral part of 6G systems and efficient task offloading techniques using fog computing will improve their performance and *** this paper,the focus is on the scenario of Partial Offloading of a Task to Multiple Helpers(POMH)in which larger tasks are divided into smaller subtasks and processed in parallel,hence expediting task ***,using POMH presents challenges such as breaking tasks into subtasks and scaling these subtasks based on many interdependent factors to ensure that all subtasks of a task finish simultaneously,preventing resource ***,applying matching theory to POMH scenarios results in dynamic preference profiles of helping devices due to changing subtask sizes,resulting in a difficult-to-solve,externalities *** paper introduces a novel many-to-one matching-based algorithm,designed to address the externalities problem and optimize resource allocation within POMH ***,we propose a new time-efficient preference profiling technique that further enhances time optimization in POMH *** performance of the proposed technique is thoroughly evaluated in comparison to alternate baseline schemes,revealing many advantages of the proposed *** simulation findings indisputably show that the proposed matching-based offloading technique outperforms existing methodologies in the literature,yielding a remarkable 52 reduction in task latency,particularly under high workloads.

关键词： 6G IoT task offloading fog computing

来源：评论

学校读者我要写书评

暂无评论

Specification of Complex Analytics Workflows: A Formal Language Model of Decision Options 20th

Specification of Complex Analytics Workflows: A Formal Lang...

引用

20th International Conference on the Economics of Grids, Clouds, systems, and Services, GECON 2024

作者： Miri, Pouriya Kochovski, Petar Tuler de Oliveira, Marcela Stankovski, Vlado Faculty of Computer and Information Science University of Ljubljana Ljubljana Slovenia Department of Engineering Systems Delft University of Technology Delft Netherlands

ISBN: (纸本)9783031812255

The specification of experiments expressed as Complex Analytics Workflows is a complex task that involves many decision-making steps with various degrees of complexity. The use of the context, the expert knowledge, and the potential for its sharing and reuse in the context of experiment specification have not been addressed sufficiently until now. Moreover, to make such knowledge instrumental, it should be coupled with specific probabilistic measures, such as particular assurances, ranking, and verification of various options. The paper aims to present a novel semantic model for probabilistic reasoning in any experimentation context coupled with a functional system for knowledge generation, reuse, and sharing. The result of our work can be used within existing experimentation engines. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Markov processes

来源：评论

学校读者我要写书评

暂无评论

Relay Based Asymmetric Communication Resource Allocation Scheme for Urban Operations

Relay Based Asymmetric Communication Resource Allocation Sch...

引用

information Communication Technologies Conference (ICTC)

作者： Kecheng Zhang Xiaobin Mao Long Sheng Zhaochen Zhang Yu Sun Dali Gao Systems Engineering Laboratory Science and Technology on Information Nanjing China

ISBN: (数字)9798350373523

ISBN: (纸本)9798350373530

Relay based communication is essential for urban operations because two communication nodes far from each other are hard to connect due to the harsh wireless environment. A relay based asymmetric commuication resource allocation scheme for OFDM-Based relay system in downlink is proposede in this paper. Unlike previous work, the time slots for the two hops via each relay are designed to be asymmetric, which enhances the degree of freedom. Besides, destinations which connect directly to the source are considered, which is different from previous work. Simulation results demonstrate that the proposed scheme can successfully give the optimal results and when the distance between source and relay or the distance between relay and destination varies, the optimal solution changes.

关键词： Wireless communication Simulation System performance OFDM Downlink Convex functions Communications technology

来源：评论

学校读者我要写书评

暂无评论

Action Recognition and Detection Based on Deep Learning: A Comprehensive Summary

引用

Computers, Materials & Continua 2023年第10期77卷 1-23页

作者： Yong Li Qiming Liang Bo Gan Xiaolong Cui College of Information Engineering Engineering University of PAPXi’an710086China PAP of Heilongjiang Province Heihe DetachmentHeihe164300China National Key Laboratory of Science and Technology on Electromagnetic Energy Naval University of EngineeringWuhan430033China Joint Laboratory of Counter Terrorism Command and Information Engineering Engineering University of PAPXi’an710086China

Action recognition and detection is an important research topic in computer vision,which can be divided into action recognition and action *** present,the distinction between action recognition and action detection is not clear,and the relevant reviews are not ***,this paper summarized the action recognition and detection methods and datasets based on deep learning to accurately present the research status in this ***,according to the way that temporal and spatial features are extracted from the model,the commonly used models of action recognition are divided into the two stream models,the temporal models,the spatiotemporal models and the transformer models according to the *** this paper briefly analyzes the characteristics of the four models and introduces the accuracy of various algorithms in common data ***,from the perspective of tasks to be completed,action detection is further divided into temporal action detection and spatiotemporal action detection,and commonly used datasets are *** the perspectives of the twostage method and one-stage method,various algorithms of temporal action detection are reviewed,and the various algorithms of spatiotemporal action detection are summarized in ***,the relationship between different parts of action recognition and detection is discussed,the difficulties faced by the current research are summarized in detail,and future development was prospected。

关键词： Action recognition action detection deep learning convolutional neural networks dataset

来源：评论

学校读者我要写书评

暂无评论

Gait Sequence Upsampling using Diffusion Models for Single LiDAR Sensors

Gait Sequence Upsampling using Diffusion Models for Single L...

引用

2025 IEEE/SICE International Symposium on System Integration, SII 2025

作者： Ahn, Jeongho Nakashima, Kazuto Yoshino, Koki Iwashita, Yumi Kurazume, Ryo Kyushu University Graduate School of Information Science and Electrical Engineering Japan Kyushu University Faculty of Information Science and Electrical Engineering Japan California Institute of Technology Jet Propulsion Laboratory United States

ISBN: (纸本)9798331531614

Recently, 3D LiDAR has emerged as a promising technology in the field of gait-based person identification, serving as an alternative to traditional RGB cameras due to its robustness under varying lighting conditions and its ability to capture 3D geometric information. However, long capture distances or the use of low-cost LiDAR sensors often result in sparse human point clouds, leading to a significant decline in identification performance. To address these challenges, we propose a sparse-to-dense upsampling model for pedestrian point clouds in gait recognition using 3D LiDAR, named LidarGSU, which is designed to enhance the generalization capability of existing identification models. Our method utilizes diffusion probabilistic models (DPMs), which have shown high fidelity in generative tasks such as image completion. In this work, we leverage DPMs on sparse sequential pedestrian point clouds as conditional masks in a video-to-video translation approach, applied in an inpainting manner. We conducted extensive experiments on the SUSTeck1K dataset to evaluate the generative quality and recognition performance of the proposed method. Furthermore, we demonstrate the applicability of our upsampling model using a real-world dataset, captured with a low-resolution sensor across varying measurement distances. © 2025 IEEE.

关键词： Image enhancement

来源：评论

学校读者我要写书评

暂无评论

Promoting polysulfide conversions via cobalt single-atom catalyst for fast and durable lithium-sulfur batteries

引用

Nano Research 2023年第7期16卷 9335-9343页

作者： Ziwei Wang Yuwen Cheng Shanying Wang Jie Xu Bo Peng Dan Luo Lianbo Ma Key Laboratory of Green Fabrication and Surface Technology of Advanced Metal Materials&School of Materials Science and Engineering Anhui University of TechnologyMaanshan 243002China School of Information and Optoelectronic Science and Engineering South China Normal UniversityGuangzhou 510006China Department of Mechanical and Aerospace Engineering The Hong Kong University of Science and Technology(HKUST)Clear Water BayHong Kong 999077China

Although promising strategies have been developed to resolve the critical drawbacks of lithium-sulfur(Li-S)batteries,the intractable issues including undesirable shuttling of polysulfides and sluggish redox reaction kinetics have still been unresolved ***,a cobalt single-atom(CoSA)catalyst comprising of atomic Co distributed homogeneously within nitrogen(N)-doped porous carbon(Co-NPC)nanosphere is constructed and utilized as a separator coating in Li-S *** Co-NPC exposes abundant active sites participating in sulfur redox reactions,and remarkable catalytic activity boosting the rapid polysulfide *** a result,Li-S batteries with Co-NPC coating layer realize significantly enhanced specific capacity(1295 mAh·g^(-1)at 0.2 C),rate capability(753 mAh·g^(-1)at 3.0 C),and long-life cyclic stability(601 mAh·g^(-1)after 500 cycles at 1.0 C).Increasing the areal sulfur loading to 6.2 mg·cm^(-2),an extremely high areal capacity of 7.92 mAh·cm^(-2)is *** in situ X-ray diffraction,density functional theory calculations,and secondary ion mass spectrometry confirm the high catalytic capability of CoSA towards reversible polysulfide *** study supplies new insights for adopting single-atom catalyst to upgrade the electrochemical performance of Li-S batteries.

关键词： lithium-sulfur batteries polysulfide shuttling sluggish redox kinetics cobalt single-atom catalyst catalytic capability

来源：评论

学校读者我要写书评

暂无评论

Grape Leaf Disease Detection and Recognition Method Based on Improved Model RTDETR-DRA 4

Grape Leaf Disease Detection and Recognition Method Based on...

引用

4th International Conference on Electronic information engineering and Computer technology, EIECT 2024

作者： Chen, Zhiyuan Yang, Yanhua School of Information Science & Engineering Yunnan University Yunnan China School of Information Science & Engineering University Key Laboratory of Internet of Things Technology and Application Yunnan University Yunnan China

ISBN: (纸本)9798331528850

In recent years, the rapid development of artificial intelligence has revolutionized agriculture, particularly in the detection and identification of plant diseases. Grape leaf diseases pose a significant threat to grape production, directly impacting yield and quality. To address the limitations of existing disease detection models, such as high computational cost and inefficient deployment on resource-limited devices, we propose an improved model based on RTDETR, named RTDETR-DRA. This model integrates the DRBNCSPELAN module, leveraging multi-path feature fusion and channel split design to optimize real-time detection accuracy while minimizing computational cost. Experimental results show that RTDETR-DRA outperforms the original RTDETR model, achieving higher accuracy in disease detection with significantly reduced parameters and GFLOPs, making it suitable for lightweight deployment on platforms like mobile devices. Our proposed method contributes to the advancement of efficient and precise plant disease detection technologies. © 2024 IEEE.

关键词： Software design

来源：评论

学校读者我要写书评

暂无评论

Multichannel adaptive signal detection: basic theory and literature review

引用

science China(information sciences) 2022年第2期65卷 5-44页

作者： Weijian LIU Jun LIU Chengpeng HAO Yongchan GAO Yong-Liang WANG Wuhan Electronic Information Institute Department of Electronic Engineering and Information Science University of Science and Technology of China State Key Laboratory of Acoustics Institute of Acoustics Chinese Academy of Sciences School of Electronic Engineering Xidian University

Multichannel adaptive signal detection uses test and training data jointly to form an adaptive detector to determine whether a target exists. The resulting adaptive detectors typically possess constant false alarm rate(CFAR) properties; thus, no additional CFAR processing is required. In addition, a filtering process is also not required because the filtering function is embedded in the adaptive detector. Adaptive detection typically exhibits better detection performance than the filtering-then-CFAR detection *** has been approximately 35 years since the first multichannel adaptive detector was proposed by Kelly in 1986. However, there are few overview articles on this topic. Thus, in this study, we present a tutorial overview of multichannel adaptive signal detection with an emphasis on the Gaussian background. We discuss the main design criteria for adaptive detectors, investigate the relationship between adaptive detection and filtering-then-CFAR detection techniques, investigate the relationship between adaptive detectors and adaptive filters, summarize typical adaptive detectors, present numerical examples, provide a comprehensive literature review, and discuss potential future research tracks.

关键词： constant false alarm rate multichannel signal signal mismatch statistical distribution subspace signal

来源：评论

学校读者我要写书评

暂无评论

Diminishing the Perception Bias in the Working Environment Using a Network Generation-Based Framework

引用

Tsinghua science and technology 2024年第3期29卷 671-683页

作者： Jun Qian Tongda Zhang Xiao Sun Yueting Chai Department of Automation Tsinghua UniversityBeijing 100084China Department of Mechanical and Energy Engineering Southern University of Science and TechnologyShenzhen 518055Chinaand with Systems Optimization LaboratoryStanford UniversityPalo AltoCA 94305USA

Income inequality is widespread in human society and has important implications for human ***’s perception of the environment bridges income inequality and individual behavioral *** research suggests that social income inequality is usually biased,either overestimated or ***,such phenomena have not been fully explored with quantitive prove,especially in the working environment based on performance data of actual *** fact,the correct perception of people is the basis of a fair environment for their production ***,the perception bias may weaken the adaptability and competitiveness of a company in the *** paper first confirms the prevalence of individual perception bias of income inequality within the working environment based on actual production *** results show that people tend to underestimate income inequity around them,and this underestimation grows with the real unfairness of the working ***,this paper proposes a network generation-based framework with a three-layer structure to correct perception bias using a cooperative network reengineering *** the framework,a homophily-based generative network model is proposed as the key *** simulation results show that our proposed framework effectively reduces individuals’perception bias of income inequality.

关键词： income inequality perception bias Gini coefficient factory production cooperative networkreengineering homophily-based generative network model

来源：评论

学校读者我要写书评

暂无评论

Fault Estimation for a Class of Markov Jump Piecewise-Affine systems: Current Feedback Based Iterative Learning Approach

引用

IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 418-429页

作者： Yanzheng Zhu Nuo Xu Fen Wu Xinkai Chen Donghua Zhou IEEE College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China College of Mechanical Engineering and Automation Huaqiao UniversityXiamen 361021China Department of Mechanical and Aerospace Engineering North Carolina State UniversityRaleigh NC 27695 USA Department of Electronic and Information Systems Shibaura Institute of TechnologySaitama 337-8570Japan

In this paper, the issues of stochastic stability analysis and fault estimation are investigated for a class of continuoustime Markov jump piecewise-affine(PWA) systems against actuator and sensor faults. Firstly, a novel mode-dependent PWA iterative learning observer with current feedback is designed to estimate the system states and faults, simultaneously, which contains both the previous iteration information and the current feedback mechanism. The auxiliary feedback channel optimizes the response speed of the observer, therefore the estimation error would converge to zero rapidly. Then, sufficient conditions for stochastic stability with guaranteed performance are demonstrated for the estimation error system, and the equivalence relations between the system information and the estimated information can be established via iterative accumulating ***, two illustrative examples containing a class of tunnel diode circuit systems are presented to fully demonstrate the effectiveness and superiority of the proposed iterative learning observer with current feedback.

关键词： Current feedback fault estimation iterative learning observer Markov jump piecewise-affine system

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：