Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Hanse Ahn"'
Autor:
Hanse Ahn, Seungwook Son, Jaehyeon Roh, Hwapyeong Baek, Sungju Lee, Yongwha Chung, Daihee Park
Publikováno v:
Applied Sciences, Vol 13, Iss 20, p 11237 (2023)
Because object detection accuracy has significantly improved advancements in deep learning techniques, many real-time applications have applied one-stage detectors, such as You Only Look Once (YOLO), owing to their fast execution speed and accuracy.
Externí odkaz:
https://doaj.org/article/cd4d4b619ed74c0ab3f565c585940689
Autor:
Seunghyun Yu, Seungwook Son, Hanse Ahn, Hwapyeong Baek, Kijeong Nam, Yongwha Chung, Daihee Park
Publikováno v:
Applied Sciences, Vol 13, Iss 6, p 3939 (2023)
While detecting surrounding vehicles in autonomous driving is possible with advances in object detection using deep learning, there are cases where small vehicles are not being detected accurately. Additionally, real-time processing requirements must
Externí odkaz:
https://doaj.org/article/f36e6258741048669aed0753fc0779dc
Autor:
Seungwook Son, Hanse Ahn, Hwapyeong Baek, Seunghyun Yu, Yooil Suh, Sungju Lee, Yongwha Chung, Daihee Park
Publikováno v:
Sensors, Vol 22, Iss 21, p 8315 (2022)
The automatic detection of individual pigs can improve the overall management of pig farms. The accuracy of single-image object detection has significantly improved over the years with advancements in deep learning techniques. However, differences in
Externí odkaz:
https://doaj.org/article/68c8c5bba0e849e19d85938d396f2a85
Publikováno v:
IEEE Access, Vol 7, Pp 173796-173810 (2019)
Taking care of individual pigs is important in the management of a group-housed pig farm. However, this is nearly impossible in a large-scale pig farm owing to the shortage of farm workers. Therefore, we propose an automatic monitoring method in this
Externí odkaz:
https://doaj.org/article/3640e7ce8a3a4f6a952745c58b6794a9
Publikováno v:
Sensors, Vol 22, Iss 7, p 2689 (2022)
Knowing the number of pigs on a large-scale pig farm is an important issue for efficient farm management. However, counting the number of pigs accurately is difficult for humans because pigs do not obediently stop or slow down for counting. In this s
Externí odkaz:
https://doaj.org/article/487b7149f9674b5ebee22a49d059a24a
Publikováno v:
Journal of Korea Multimedia Society. 26:175-188
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3fea6adc36d28a5b0a7cafc51ee201c
https://doi.org/10.9717/kmms.2023.26.2.175
https://doi.org/10.9717/kmms.2023.26.2.175
Publikováno v:
Applied Sciences, Vol 11, Iss 12, p 5577 (2021)
Automated pig monitoring is important for smart pig farms; thus, several deep-learning-based pig monitoring techniques have been proposed recently. In applying automated pig monitoring techniques to real pig farms, however, practical issues such as d
Externí odkaz:
https://doaj.org/article/75bd93f5e4d84c86937f4d5b611c516c
Publikováno v:
Applied Sciences, Vol 10, Iss 19, p 6991 (2020)
Failure to quickly and accurately detect abnormal situations, such as the occurrence of infectious diseases, in pig farms can cause significant damage to the pig farms and the pig farming industry of the country. In this study, we propose an economic
Externí odkaz:
https://doaj.org/article/e1beca53416b4e2da323355c9200787d
Publikováno v:
Applied Sciences, Vol 10, Iss 8, p 2878 (2020)
Automated pig monitoring is an important issue in the surveillance environment of a pig farm. For a large-scale pig farm in particular, practical issues such as monitoring cost should be considered but such consideration based on low-cost embedded bo
Externí odkaz:
https://doaj.org/article/e2582d0448ce4426aee26286560cc0c7
Publikováno v:
Applied Sciences
Volume 11
Issue 12
Applied Sciences, Vol 11, Iss 5577, p 5577 (2021)
Volume 11
Issue 12
Applied Sciences, Vol 11, Iss 5577, p 5577 (2021)
Automated pig monitoring is important for smart pig farms
thus, several deep-learning-based pig monitoring techniques have been proposed recently. In applying automated pig monitoring techniques to real pig farms, however, practical issues such
thus, several deep-learning-based pig monitoring techniques have been proposed recently. In applying automated pig monitoring techniques to real pig farms, however, practical issues such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2242d429bc01cc264c07deb6b67175ea