Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Yunrong Lv"'
Autor:
Mithun Mukherjee, Suman Kumar, Qi Zhang, Rakesh Matam, Constandinos X. Mavromoustakis, Yunrong Lv, George Mastorakis
Publikováno v:
IEEE Access, Vol 7, Pp 152911-152918 (2019)
With the emergence of delay-sensitive task completion, computational offloading becomes increasingly desirable due to the end-user's limitations in performing computation-intense applications. Interestingly, fog computing enables computational offloa
Externí odkaz:
https://doaj.org/article/bb720c29de9e4026a5f8205083658e46
Publikováno v:
IEEE Sensors Journal. 22:12139-12151
Publikováno v:
Applied Nanoscience. 11:1471-1479
Ti3C2/Graphene Oxide (GO), a heterostructural solid lubricant with a self-lubricating performance at both ambient air and dry nitrogen atmosphere, has been investigated. At ambient atmosphere, both the coefficient of friction (COF) and wear rate for
Machinery Fault Diagnosis Scheme Using Redefined Dimensionless Indicators and mRMR Feature Selection
Publikováno v:
IEEE Access, Vol 8, Pp 40313-40326 (2020)
Machinery fault diagnosis methods based on dimensionless indicators have long been studied. However, traditional dimensionless indicators usually suffer a low diagnostic accuracy for mechanical components. Toward this end, an effective fault diagnosi
Publikováno v:
Assembly Automation. 40:175-187
Purpose Rotating machineries are widely used in manufacturing, petroleum, chemical, aircraft, and other industries. To accurately identify the operating conditions of such rotating machineries, this paper aims to propose a fault diagnosis method base
Publikováno v:
2021 IEEE 13th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED).
Autor:
Rakesh Matam, Constandinos X. Mavromoustakis, Qi Zhang, Yunrong Lv, George Mastorakis, Suman Kumar, Mithun Mukherjee
Publikováno v:
Mukherjee, M, Kumar, S, Zhang, Q, Matam, R, Mavromoustakis, C X, Lv, Y & Mastorakis, G 2019, ' Task Data Offloading and Resource Allocation in Fog Computing with Multi-Task Delay Guarantee ', IEEE Access, vol. 7, pp. 152911-152918 . https://doi.org/10.1109/ACCESS.2019.2941741
IEEE Access, Vol 7, Pp 152911-152918 (2019)
IEEE Access, Vol 7, Pp 152911-152918 (2019)
With the emergence of delay-sensitive task completion, computational offloading becomes increasingly desirable due to the end-users limitations in performing computation-intense applications. Interestingly, fog computing enables computational offload
Publikováno v:
2020 IEEE 3rd Student Conference on Electrical Machines and Systems (SCEMS).
Battery impedance is one of the most important parameters to reflect performance and health for electric vehicles and other applications, and is affected by many factors, such as temperature, battery type and aging. Based on the characteristics of ps
Publikováno v:
INFOCOM Workshops
Unmanned Aerial Vehicle (UAV)-enabled mobile edge computing (MEC) is considered to offer computational capabilities to the resource-constraints end-users. In this paper, we study the task offloading strategy in UAV-enabled MEC systems, where end-user