Won-Hee Lee
Biographic Data
| ID | 1859007 |
|---|---|
| NAME | Won-Hee Lee |
| GIVEN NAMES | Won-Hee |
| FAMILY NAME | Lee |
| SIGNATURE | LEE W |
| AFFILIATIONS | Kyungpook National University, South Korea |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 7 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 1 |
Non-destructive method for wood identification using conventional X-ray computed tomography data
We establish an efficient and reliable method of wood identification that combines a non-destructive and non-invasive laboratory-scale tool, X-ray computed tomography (CT), with machine learning for image recognition. We selected six hardwood species used to create the Tripitaka Koreana and obtained the X-ray CT data of its woodblocks. Image recognition systems using the gray-level co-occurrence matrix (GLCM) or local binary patterns (LBP) were a…
Presence in virtual golf simulators
This study examines the effects of presence when respondents played a golf game using virtual golf simulators. The respondents were able to use real golf clubs and accurate swing-and-ball-tracking technology for a realistic experience. The perceived enjoyment, perceived value, and behavioral intention were measured. Data were collected using a convenience sample of 275 virtual golf simulator players. Multiple regression analyses revealed that soc…
Presence in virtual golf simulators
This study examines the effects of presence when respondents played a golf game using virtual golf simulators. The respondents were able to use real golf clubs and accurate swing-and-ball-tracking technology for a realistic experience. The perceived enjoyment, perceived value, and behavioral intention were measured. Data were collected using a convenience sample of 275 virtual golf simulator players. Multiple regression analyses revealed that soc…
Non-destructive method for wood identification using conventional X-ray computed tomography data
We establish an efficient and reliable method of wood identification that combines a non-destructive and non-invasive laboratory-scale tool, X-ray computed tomography (CT), with machine learning for image recognition. We selected six hardwood species used to create the Tripitaka Koreana and obtained the X-ray CT data of its woodblocks. Image recognition systems using the gray-level co-occurrence matrix (GLCM) or local binary patterns (LBP) were a…
Presence in virtual golf simulators
This study examines the effects of presence when respondents played a golf game using virtual golf simulators. The respondents were able to use real golf clubs and accurate swing-and-ball-tracking technology for a realistic experience. The perceived enjoyment, perceived value, and behavioral intention were measured. Data were collected using a convenience sample of 275 virtual golf simulator players. Multiple regression analyses revealed that soc…
Non-destructive method for wood identification using conventional X-ray computed tomography data
We establish an efficient and reliable method of wood identification that combines a non-destructive and non-invasive laboratory-scale tool, X-ray computed tomography (CT), with machine learning for image recognition. We selected six hardwood species used to create the Tripitaka Koreana and obtained the X-ray CT data of its woodblocks. Image recognition systems using the gray-level co-occurrence matrix (GLCM) or local binary patterns (LBP) were a…
Computer Science (2 works) · Applied Psychology (1 work) · Applied Psychology (1 work) · Artificial Intelligence (1 work) · Behavioral Health and Interventions (1 work) · Computed tomography (1 work) · Computer vision (1 work) · Cultural Heritage Materials Analysis (1 work) · Geography (1 work) · Gray level (1 work)