• Title/Summary/Keyword: Lee Sam

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Rubus coreanus Miquel Improves on Impairment of Memory in Senescence-Accelerated Mouse (SAM) (노화촉진마우스를 이용한 복분자의 기억력 감퇴 개선 효과)

  • Choi, Mi-Ran;Lee, Min-Young;Kim, Jeong-Eun;Hong, Ji-Eun;Jang, Kuen-Hye;Lee, Jae-Yong;Chun, Jang-Woo;Kim, Tae-Hwan;Shin, Hyun-Kyung;Kim, Eun-Ji
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.41 no.9
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    • pp.1253-1258
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    • 2012

  • In the present study, we investigated the effects of Rubus coreanus Miquel (RCM) on memory ability of senescence-accelerated mice (SAM). Prone 8 strains of SAM mice (SAMP8), which is a useful animal for investigating the mechanism of brain aging and senile dementia, were fed a diet containing 100 mg/kg body weight/day of RCM for 8 weeks. Memory ability of mice was examined by using passive avoidance test and Morris water maze test. SAMP8 mice showed remarkable memory impairment compared with senescence-resistant 1 strains of SAM (SAMR1). RCM significantly improved memory ability of SAMP8 mice. In addition, acetylcholineasterase activities decreased in the brain of SAMP8 mice treated with RCM. Taken together, these results suggest that RCM may act as an acetylcholineasterase inhibitor, thereby improving senescence-related memory impairment.

  • https://doi.org/10.3746/jkfn.2012.41.9.1253 인용 PDF KSCI

The Ship Detection Using Airborne and In-situ Measurements Based on Hyperspectral Remote Sensing (초분광 원격탐사 기반 항공관측 및 현장자료를 활용한 선박탐지)

  • Park, Jae-Jin;Oh, Sangwoo;Park, Kyung-Ae;Foucher, Pierre-Yves;Jang, Jae-Cheol;Lee, Moonjin;Kim, Tae-Sung;Kang, Won-Soo
    • Journal of the Korean earth science society
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    • v.38 no.7
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    • pp.535-545
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    • 2017

  • Maritime accidents around the Korean Peninsula are increasing, and the ship detection research using remote sensing data is consequently becoming increasingly important. This study presented a new ship detection algorithm using hyperspectral images that provide the spectral information of several hundred channels in the ship detection field, which depends on high resolution optical imagery. We applied a spectral matching algorithm between the reflection spectrum of the ship deck obtained from two field observations and the ship and seawater spectrum of the hyperspectral sensor of an airborne visible/infrared imaging spectrometer. A total of five detection algorithms were used, namely spectral distance similarity (SDS), spectral correlation similarity (SCS), spectral similarity value (SSV), spectral angle mapper (SAM), and spectral information divergence (SID). SDS showed an error in the detection of seawater inside the ship, and SAM showed a clear classification result with a difference between ship and seawater of approximately 1.8 times. Additionally, the present study classified the vessels included in hyperspectral images by presenting the adaptive thresholds of each technique. As a result, SAM and SID showed superior ship detection abilities compared to those of other detection algorithms.

  • https://doi.org/10.5467/JKESS.2017.38.7.535 인용 PDF KSCI