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문지섭(Ji Seob Moon),정선용(Seon Yong Jeong),김명수(Myung Soo Kim) 한국신뢰성학회 2011 신뢰성응용연구 Vol.11 No.3
This paper presents an accelerated life test of booster pump for home water purifier. The failure analysis shows that decreased flux due to the plastic deformation of bypass spring adjusting pressure is the predominant failure mechanism. An accelerated life test is designed and implemented to estimate the lifetime of the booster pump. Temperature, water pressure and voltage are selected as accelerating variables through the technical review about failure mechanism. It is assumed that the lifetimes of booster pumps follow lognormal distribution and the combination model of temperature and non-thermal stresses holds. The life-stress relationship, acceleration factor, and B10 life at design condition are estimated by analyzing the accelerated life test data.
Antioxidant Effects of Pyrogallol in Neural Cells and Mice Brain
문지섭(Jisub Moon),곽희선(Heesun Gwak),이태희(Tae-Hee Lee),안은석(Eun Suk An),김윤배(Yun-Bae Kim),박동선(Dongsun Park) 한국교원대학교 뇌기반교육연구소 2019 Brain, Digital, & Learning Vol.9 No.3
Polyphenols can easily react with reactive oxygen species (ROS) resulting in powerful antioxidant activity. Pyrogallol is a polyphenol found in a variety of fruits and vegetables. Therefore, plants containing pyrogallol can be used for their antioxidant, anti-bacterial, anti-fungal, anti-allergic, and anti-inflammatory properties. However, its effectiveness as an antioxidant is still a matter of debate because pyrogallol is also a superoxide anion generator and induces superoxide anion-mediated death of several types of cells. In this study, we tried to confirm the antioxidant effects and mechanisms of pyrogallol in mouse neuroblastoma (N2A), human neural stem cells (F3), and mouse brain. Treatments with various concentrations of pyrogallol significantly increased the free radical scavenging ability and reduced lipid peroxidation in N2A and F3 cells in a concentration-dependent manner. In the cytotoxicity test, low concentrations of pyrogallol (0–10 µg/mL) did not significantly influence cell viability, while high concentrations (125-1000 µg/mL) induced death in N2a and F3 cells. Furthermore, treatment with pyrogallol(1.0, 3.2, and 10.0 µg/mL) up-regulated the mRNA expression of superoxide dismutases 1, 2, and 3, glutathione peroxidase (GPx)1, and phospholipid hydroperoxide GPx in N2A and F3 cells, in the brains of mice that were orally administered pyrogallol (1.0, 3.2, and 10.0 mg/kg/day) for 7 days. The mice did not exhibit any toxic effects due to this treatment. Taken together, although pyrogallol induced cell death at high concentrations, it might be a good candidate antioxidant for neurodegenerative disease at low concentrations.
문지섭(Ji Seob Moon),이성민(Sung Min Lee),정선용(Seon Yong Jeong),김명수(Myung Soo Kim) 한국신뢰성학회 2014 신뢰성응용연구 Vol.14 No.1
This paper presents an accelerated life test to estimate the lifetime of thermoelectric module for home water purifier. Clamping force and thermal cycle are selected as accelerating variables through the technical review about failure mechanism. It is assumed that its lifetime follows weibull distribution. The relationship, acceleration factor, and BP life at design condition are estimated by analyzing the accelerated life test data.
도덕희,김동혁,방광현,문지섭,홍성대,장태현,황태규,Doh Deog Hee,Kim Dong Hyuk,Bang Kwang Hyun,Moon Ji Seob,Hong Seong Dae,Chang Tae Hyun,Hwang Tae Gyu 한국마린엔지니어링학회 2005 한국마린엔지니어링학회지 Vol.29 No.2
Thermo-chromic Liquid Crystal(TLC) particles were used as temperature sensor for thermal fluid flow. 1K $\times$ 1K CCD color camera and Xenon Lamp(500w) were used for the visualization of a Hele-Shaw cell The characteristic between the reflected colors from the TLC and their corresponding temperature shows strong non-linearity A neural network known as having strong mapping capability for non-linearity is adopted to quantify the temperature field using the image of the flow. Improvements of color-to-temperature mapping was attained by using the local color luminance (Y) and hue (H) information as the inputs for the constructed neural network.