Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Taeheum Na"'
Publikováno v:
IEEE Access, Vol 12, Pp 130983-130994 (2024)
This paper designs a novel energy-efficient hybrid federated and centralized learning (HFCL) framework for training wireless traffic prediction models in aerial networks over distributed multi-access edge computing (MEC) servers where multiple networ
Externí odkaz:
https://doaj.org/article/38a4a2ea6da84ac88c6d6fd7476c05a3
Publikováno v:
Sensors, Vol 24, Iss 7, p 2158 (2024)
Video surveillance systems are integral to bolstering safety and security across multiple settings. With the advent of deep learning (DL), a specialization within machine learning (ML), these systems have been significantly augmented to facilitate DL
Externí odkaz:
https://doaj.org/article/81db945314544c50a465531b004cd792
Publikováno v:
Multimedia Tools and Applications. 80:34731-34749
Network function virtualization based service chaining has recently received significant attention. In cloud environment, virtual machine typically be scheduled to load balancing among computing nodes. Therefore, the relation between virtual machines
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::466d93de4414f0bee5220d1e15d31186
https://doi.org/10.1007/s11042-020-09083-2
https://doi.org/10.1007/s11042-020-09083-2
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da793cdd9e70a1a0bf00bed2ad66d9c0
https://doi.org/10.2139/ssrn.4250242
https://doi.org/10.2139/ssrn.4250242
Publikováno v:
2021 International Conference on Information and Communication Technology Convergence (ICTC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::789650d6459ca1bc39f54f77298d93f2
https://doi.org/10.1109/ictc52510.2021.9621141
https://doi.org/10.1109/ictc52510.2021.9621141
Publikováno v:
Journal of the Korea Institute of Military Science and Technology. 20:217-224
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3a38d6f02b614da857181d5fce75686
https://doi.org/10.9766/kimst.2017.20.2.217
https://doi.org/10.9766/kimst.2017.20.2.217
Publikováno v:
2019 21st International Conference on Advanced Communication Technology (ICACT).
Initially, the 5G system architecture is required with very diverse and extreme requirements. These requirements related with four main mega trends. Those are the explosion of date traffic, the rapid increase of number of devices, the increase of clo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed747aad805a147b287b32c90e3c3b40
https://doi.org/10.23919/icact.2019.8701936
https://doi.org/10.23919/icact.2019.8701936
Publikováno v:
Journal of the Korea Institute of Military Science and Technology. 19:171-176
In this paper, the integration of the firing test stages at the acceptance test of the propelling charge has been studied using statistical analysis on the basis of the test data of K676 and K677 propelling charge for K9 self propelled howitzer. Acce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::196ecac347c7d1b8f0f74af8731ffb33
https://doi.org/10.9766/kimst.2016.19.2.171
https://doi.org/10.9766/kimst.2016.19.2.171
Publikováno v:
Transactions of the Korean Society for Noise and Vibration Engineering. 26:89-96
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::497bc665dc2e8f9ff879805c35ce674d
https://doi.org/10.5050/ksnve.2016.26.1.089
https://doi.org/10.5050/ksnve.2016.26.1.089
Publikováno v:
Transactions of the Korean Society for Noise and Vibration Engineering. 26:69-74
A technique for improving estimation accuracy is introduced in order to locate the impact position of artillery shell during the weapon scoring test. Study on localization of impacts using acoustic measurement has been conducted and the usability of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3436694b6dc391239c4b464436e9d057
https://doi.org/10.5050/ksnve.2016.26.1.069
https://doi.org/10.5050/ksnve.2016.26.1.069