Zobrazeno 1 - 10
of 188
pro vyhledávání: '"Geun Sik Jo"'
Publikováno v:
Sensors, Vol 9, Iss 2, Pp 845-858 (2009)
In the fields of production, manufacturing and supply chain management, Radio Frequency Identification (RFID) is regarded as one of the most important technologies. Nowadays, Mobile RFID, which is often installed in carts or forklift trucks, is incre
Externí odkaz:
https://doaj.org/article/35c71a36cc8c43f0a259cad9a263237c
Publikováno v:
IEEE Access, Vol 12, Pp 142819-142837 (2024)
Multi-Object Tracking (MOT) involves the simultaneous tracking of multiple targets in a scene, demanding accurate discrimination of foreground and background, as well as precise identification of feature distinctions among diverse objects. Simple Onl
Externí odkaz:
https://doaj.org/article/a173af8c85f943db8b450a298428ad69
Publikováno v:
Sensors, Vol 23, Iss 7, p 3384 (2023)
Individuals spend time on online video-sharing platforms searching for videos. Video summarization helps search through many videos efficiently and quickly. In this paper, we propose an unsupervised video summarization method based on deep reinforcem
Externí odkaz:
https://doaj.org/article/e7c75fc30a214cd8be26b9acc1e666a1
Autor:
Aziz Siyaev, Geun-Sik Jo
Publikováno v:
IEEE Access, Vol 9, Pp 154484-154499 (2021)
In the emerging world of metaverses, it is essential for speech communication systems to be aware of context to interact with virtual assets in the 3D world. This paper proposes the metaverse for aircraft maintenance training and education of Boeing-
Externí odkaz:
https://doaj.org/article/006400b4cfb94af1b825ae170cec6503
Publikováno v:
Sensors, Vol 23, Iss 3, p 1729 (2023)
Digital twins have revolutionized manufacturing and maintenance, allowing us to interact with virtual yet realistic representations of the physical world in simulations to identify potential problems or opportunities for improvement. However, traditi
Externí odkaz:
https://doaj.org/article/d5b75c0c49e346c0bb9c1c227a1e0c94
Publikováno v:
Journal of KIISE. 48:91-99
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b78c140d55d870632d302f1f69626f88
https://doi.org/10.5626/jok.2021.48.1.91
https://doi.org/10.5626/jok.2021.48.1.91
Autor:
Geun-Sik Jo, Aziz Siyaev
Publikováno v:
IEEE Access, Vol 9, Pp 154484-154499 (2021)
In the emerging world of metaverses, it is essential for speech communication systems to be aware of context to interact with virtual assets in the 3D world. This paper proposes the metaverse for aircraft maintenance training and education of Boeing-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe65acff9ad7547df0e21bb3081800d1
https://doi.org/10.1109/access.2021.3128616
https://doi.org/10.1109/access.2021.3128616
Autor:
Geun-Sik Jo, Aziz Siyaev
Publikováno v:
KIISE Transactions on Computing Practices. 26:390-395
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eeb154a74862ebe631b8a99cbe5be061
https://doi.org/10.5626/ktcp.2020.26.8.390
https://doi.org/10.5626/ktcp.2020.26.8.390
Publikováno v:
The Journal of Engineering. 2020:679-685
Most of the correlation filter (CF)-based trackers utilise the circulant structure of the training samples to learn discriminative filters to identify the tracked target, which has shown excellent performance in terms of both tracking accuracy and sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a93305c4740916a82d9c1947a4a4e7d
https://doi.org/10.1049/joe.2019.1205
https://doi.org/10.1049/joe.2019.1205
Publikováno v:
Sensors
Volume 21
Issue 13
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 4562, p 4562 (2021)
Volume 21
Issue 13
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 4562, p 4562 (2021)
This paper addresses the problem of unsupervised video summarization. Video summarization helps people browse large-scale videos easily with a summary from the selected frames of the video. In this paper, we propose an unsupervised video summarizatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34936ebc48083ffad8ca2f28a81d0d11