Zobrazeno 1 - 10
of 329
pro vyhledávání: '"JongSeok Lee"'
Publikováno v:
Energies, Vol 17, Iss 22, p 5704 (2024)
This study applied a risk assessment technique to the steam reforming process in hydrogen production facilities to generate baseline data for preparing safety protocols in related workplaces. To this end, consequence analysis (CA) was conducted using
Externí odkaz:
https://doaj.org/article/26a9c5e5c14d42b198a031b20666cd5d
Autor:
Jongseok Lee, Donggyu Sim
Publikováno v:
IEEE Access, Vol 11, Pp 35140-35149 (2023)
In this study, we propose a semi-supervised learning method for spiking neural networks based on spike-timing-dependent plasticity (STDP). The spiking neural network structure of the proposed method incorporates teacher neurons and synapses, which se
Externí odkaz:
https://doaj.org/article/8d5d687d1c0f4cb59f94acb0c0808966
Publikováno v:
Machines, Vol 12, Iss 1, p 9 (2023)
The trend in the global automotive industry is moving towards electric vehicles that do not emit exhaust gases and use eco-friendly fuel. Electric vehicles are more eco-friendly compared to internal combustion engine vehicles, as they emit less carbo
Externí odkaz:
https://doaj.org/article/18153259b6084b229fc8957bbe44ebbe
Publikováno v:
IEEE Access, Vol 9, Pp 162018-162034 (2021)
This work proposes a rate control model based on deep convolutional features to improve the video coding performance of the HEVC encoders under the random access (RA) configuration. The proposed algorithm extracts high-level features from the origina
Externí odkaz:
https://doaj.org/article/e4e12dc9cb294f158f8b85209c90285a
Publikováno v:
IEEE Access, Vol 8, Pp 12279-12289 (2020)
This paper proposes a change detection algorithm on multi-spectral images based on feature-level U-Net. A low-complexity pan-sharpening method is proposed to employ not only panchromatic images, but also multi-spectral images for enhancing the perfor
Externí odkaz:
https://doaj.org/article/124cc0740a114465821b0fcb1b730552
Publikováno v:
IEEE Access, Vol 8, Pp 165670-165682 (2020)
This paper proposes an optimal rate control model based on deep neural network (DNN) features to improve the coding tree unit (CTU)-level rate control in high-efficiency video coding for conversational videos. The proposed algorithm extracts high-lev
Externí odkaz:
https://doaj.org/article/6056509b766f4b95988adbceadf747d7
Publikováno v:
The Korean Journal of Internal Medicine, Vol 35, Iss 1, Pp 150-159 (2020)
Background/Aims The aim of this study is to compare Friedewald-estimated and directly measured low density lipoprotein cholesterol (LDL-C) values and assess the concordance in guideline risk classification between the two methods. Methods The data we
Externí odkaz:
https://doaj.org/article/578b458111814720b160a4b2e945ba63
Publikováno v:
Applied Sciences, Vol 13, Iss 4, p 2485 (2023)
This study proposes a bilateral attention U-Net with a dissimilarity attention gate (DAG) for change detection on remote sensing imageries. The proposed network is designed with a bilateral dissimilarity encoding for the DAG calculation to handle rev
Externí odkaz:
https://doaj.org/article/87348c6288d84c2b9e80ae0313ba19d3
Publikováno v:
Machines, Vol 10, Iss 11, p 1058 (2022)
This paper proposes a modified harmonic cam, which is used to design a harmonic drive. Conventional harmonic drives using a sinusoidal cam type pertain to an elastic body concept and are thus difficult to design and evaluate. Unlike the conventional
Externí odkaz:
https://doaj.org/article/23554fdb96a94ebd80da5e60c4cb73b8
Publikováno v:
Journal of Veterinary Clinics. 39:217-225
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbada620ab8f55042503bfe6a5776990
https://doi.org/10.17555/jvc.2022.39.5.217
https://doi.org/10.17555/jvc.2022.39.5.217