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A Glass Thickness Measuring System Using the Machine Vision Method
박재범,이종건,이민기,이응석 한국정밀공학회 2011 International Journal of Precision Engineering and Vol. No.
This paper describes a measuring device of glass thickness using machine vision and image processing techniques on realtime sampling process. Recently, the machine vision enables to inspect fast and exact solution than human's eyes. This system has advantages of continuous measurement, flexible and high accuracy in production line. The system consists of a laser diode, a CCD camera with PC. The camera located on the opposite side of the incident beam measures the distance between two laser beams which are reflected from the glass top and the bottom surface. We applied a binary algorithm to convert and analyze the image from the CCD camera to PC. A laser point coordinating method by border tracing algorithm is used to find out the center of laser beam circle. The measured result was compared with the one by a precision micrometer and showed as less than 0.005mm accuracy. Finally, the measurement errors were discussed how to minimize the influence of glass wedge angle and angular positioning errors of the glass moving stage.
박재범,김진성,장승원,홍은수,하석진 한국생물공학회 2015 KSBB Journal Vol.30 No.3
Kluyveromyces marxianus is a well-known thermotolerant yeast. Although Saccharomyces cerevisiae is the most commonly used yeast species for ethanol production, the thermotolerant K. marxianus is more suitable for simultaneous saccharification and fermentation (SSF) processes. This is because enzymatic saccharification usually requires a higher temperature than that needed for the optimum growth of S. cerevisiae. In this study, we compared the fermentation patterns of S. cerevisiae and K. marxianus under various temperatures of fermentation. The results show that at a fermentation temperature of 45°C, K. marxianus exhibited more than two fold higher growth rate and ethanol production rate in comparison to S. cerevisiae. For SSF using starch or corn stover as the sole carbon source by K. marxianus, the high temperature (45°C) fermentations showed higher enzymatic activities and ethanol production compared to SSF at 30°C. These results demonstrate the potential of the thermotolerant yeast K. marxianus for SSF in the industrial production of biofuels
Recent Progress in Clinical Islet Transplantation
박재범,김성주 한양대학교 의과대학 2014 Hanyang Medical Reviews Vol.34 No.4
Allo-islet transplantation is believed to be a promising treatment for normalizing blood glucose levels without hypoglycemic episodes in patients with type 1 diabetes mellitus (T1DM). In 2000, a pioneering study by the Edmonton group showed that allo-islet transplantation could achieve insulin independence for at least 1 year post-transplantation in all seven consecutive patients. This breakthrough study excited numerous researchers, clinicians, and patients. Although longer follow-up studies did not have the same success as the first study, substantial efforts to establish successful islet transplantation have been made in the last decade. Several leading centers of islet transplantation have reported success rates of nearly 50% insulin independence at 5 years post-transplantation. However, recent advancements in transplant outcomes are limited to only a few centers and select patients; thus, we are still confronted with numerous hurdles against long-term successful islet transplantation. Herein, we review the recent advances and challenges for allo-islet transplantation to be accepted as a standard therapy for patients with T1DM.
강우와 바람 사이의 상호의존성을 고려한 이변량 강우빈도해석기법 검토
박재범,갈병석,허주리 한국방재학회 2015 한국방재학회논문집 Vol.15 No.2
본 연구에서는 강우와 바람사이의 상호의존성을 고려한 Copula 모형을 기반으로 하는 이변량 강우빈도해석 기법의 활용 가능성을 검토하였다. 이를 위해 기상청 산하 6개 관측소의 연최대강우량과 풍속을 대상으로 4개 주변분포와 Archimedean copula 모형을 적용하고 중간 확률변수에 대하여 산정한 RMSE와 AIC를 기반으로 최적모형을 선정하였다. 또한 조건부 Copula를 이용하여 확률강우량을산정하고 바람의 영향을 고려하지 않는 기존 일변량 빈도해석 결과와의 차이를 분석하였다. 바람의 영향을 고려하여 산정한 Copula 모형의 확률강우량은 지속시간과 재현기간에 따라 차이는 있지만 기존 확률강우량 보다 크게 산정되는 것으로 분석되었다. We examine the feasibility of a bivariate rainfall frequency analysis technique that is based on the copula model, taking into account the interdependence between rainfall and wind speed. Four marginal and archimedean copula model are applied for annual maximum rainfall and wind speed of six stations under Korea Meteorology Administration(KMA). Optimal copula model is identified based on RMSE(Root Mean Square Error) and AIC(Akaike Information Criterion) using an intermediate random variable. The probability rainfall is estimated by conditional copula and is compared with the result of univariate rainfall frequency analysis. Taking into account the effect of the wind speed, the probability rainfall of copula model showed increasing trend with increment of duration time and return period.