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Offloading Algorithm for Multi-Agent and Double-Layer Offloading in Internet of Vehicle [PDF]
Jisuanji gongchengIn the edge computing environment of the Internet of Vehicles (IoV), with the aim of efficiently offloading tasks and allocating resources to alleviate the limited storage and computing power of vehicles, this study proposes a offloading algorithm based ...
Ji ZHANG, Wenwen GONG, Chunhong DUO, Guoliang QI
doaj +1 more source
Novel Lagrange Multipliers-Driven Adaptive Offloading for Vehicular Edge Computing
Vehicular Edge Computing (VEC) is a transportation-specific version of Mobile Edge Computing (MEC) designed for vehicular scenarios. Task offloading allows vehicles to send computational tasks to nearby Roadside Units (RSUs) in order to reduce the ...
Meng, Guiying +6 more
core +1 more source
Step‐by‐step insight into gait analysis: A narrative review unlocking knee biomechanics
Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.Abstract Gait analysis offers a powerful tool for clinical and orthopaedic decision‐making. By quantifying spatiotemporal, kinematic and kinetic parameters during walking, it provides a dynamic window into joint function that static imaging cannot capture.
Giovanni Spallone +9 more
wiley +1 more source
Computation task offloading algorithm and system level simulation for vehicles
物联网学报, 2019 With the development of autonomous driving and vehicular network,more and more vehicles will have powerful computing capabilities and connection with each other via wireless network.These computing resources can not only be applied to automatic driving ...
Qicheng ZENG, Yuxuan SUN, Sheng ZHOU
doaj +2 more sources
Q-Learning-Based Task Offloading and Resources Optimization for a Collaborative Computing System
IEEE Access, 2020 Mobile edge computing (MEC) can effectively overcome the shortcomings of high-latency in mobile cloud computing (MCC) by deploying the cloud resources, e.g., storage and computational capability, to the edge.
Zihan Gao +3 more
doaj +1 more source
Vehicular Computation Offloading for Industrial Mobile Edge Computing
, 2021 Due to the limited local computation resource, industrial vehicular computation requires offloading the computation tasks with time-delay sensitive and complex demands to other intelligent devices (IDs) once the data is sensed and collected ...
Song, Houbing +5 more
core +1 more source
Ten‐year outcomes of combined ACLR and lateral extra‐articular tenodesis: A systematic review
Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.Abstract Purpose This systematic review evaluates long‐term outcomes after anterior cruciate ligament reconstruction (ACLR) with lateral extra‐articular tenodesis (LET), including patient‐reported outcome measures (PROMs), failure rates, objective knee scores and radiographic osteoarthritis (OA).
Marc Daniel Bouchard +6 more
wiley +1 more source
PM&R, EarlyView.Abstract Objective This systematic review and meta‐analysis aimed to synthesize the current evidence on the efficacy of various technological interventions for gait rehabilitation in adults with incomplete spinal cord injury (iSCI). Literature survey MEDLINE (accessed by PubMed), Embase, Cochrane Central Register of Controlled Trials (Cochrane CENTRAL),
Emerson de Carvalho +3 more
wiley +1 more source
, 2019 In this study, we consider an edge cloud server in which a lightweight server is placed near a user device for the rapid processing and storage of large amounts of data.
Heonchang Yu, HeeSeok Choi, EunYoung Lee
core +1 more source
Privacy-Friendly Task Offloading for Smart Grid in 6G Satellite–Terrestrial Edge Computing Networks
, 2023 Through offloading computing tasks to visible satellites for execution, the satellite edge computing architecture effectively issues the high-delay problem in remote grids (e.g., mountain and desert) when tasks are offloaded to the urban terrestrial ...
Zhaoxiang Yuan +8 more
core +1 more source