Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Junsik Lim"'
Autor:
Sun-Jeong Bae, Junsik Lim, Sangmin Lee, Hansaem Choi, Jae-Hwan Jang, Yu-Kang Kim, Ju-Young Oh, Jeong Hun Park, Hyuk-Sang Jung, Younbyung Chae, Su-Il In, Hi-Joon Park
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2019)
Over the past several decades, clinical studies have shown significant analgesic effects of acupuncture. The efficacy of acupuncture treatment has improved with the recent development of nanoporous needles (PN), which are produced by modifying the ne
Externí odkaz:
https://doaj.org/article/203eefc5a65e4c70a9dc0880893d5af8
Publikováno v:
Journal of Physiology & Pathology in Korean Medicine. 35:8-14
Publikováno v:
Evidence-Based Complementary and Alternative Medicine, Vol 2021 (2021)
Growing evidence suggests that dietary nutrients in herbs and plants are beneficial in improving inflammatory disorders. Artemisia capillaris Thunberg (AC) is a traditional herbal medicine widely used in East Asia to treat pain, hepatotoxicity, and i
Publikováno v:
Evidence-based Complementary and Alternative Medicine : eCAM
Growing evidence suggests that dietary nutrients in herbs and plants are beneficial in improving inflammatory disorders. Artemisia capillaris Thunberg (AC) is a traditional herbal medicine widely used in East Asia to treat pain, hepatotoxicity, and i
Publikováno v:
KSII Transactions on Internet and Information Systems. 7:2312-2325
In this paper, we propose a preprocessing method that it is to correct the distortion of text area in Korean signboard images as a preprocessing step to improve character recognition. Distorted perspective in recognizing of Korean signboard text may
Publikováno v:
International Journal of Contents. 7:19-23
This paper proposes a segmentation method for overlapped vehicles based on analysis of the vehicle location and the spatiotemporal association information. This method can be used in an intelligent transport system. In the proposed method, occlusion
Autor:
Myung-Hun Lee, Jonghyun Park, Soo-Hyung Kim, Guee-Sang Lee, Eui-Chul Kim, Hyung-Jeong Yang, Junsik Lim, Seong-taek Hwang
Publikováno v:
Pattern Recognition Letters. 31:1728-1739
In this paper, an automatic translation system for Korean signboard images is described. The system includes detection and extraction of text for the recognition and translation of shop names into English. It deals with impediments caused by differen
Publikováno v:
The KIPS Transactions:PartB. :303-308
In this paper, we propose a medical image registration technique combining the gradient vector flow and modified conditional entropy. The registration is conducted by the use of a measure based on the entropy of conditional probabilities. To achieve
Publikováno v:
The KIPS Transactions:PartB. :239-246
In this paper, we propose a Korean character recognition method from outboard signboard images. We have chosen 808 classes of Korean characters by an analysis of frequencies of appearance in a dictionary of signboard names. The proposed method mainly
Publikováno v:
The KIPS Transactions:PartB. :195-202
In this paper, we propose the regions segmentation method of the white matter and the gray matter for brain MR image by using the ant colony optimization algorithm. Ant Colony Optimization (ACO) is a new meta heuristics algorithm to solve hard combin