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이홍주,채진웅,박정훈 한국막학회 2016 한국막학회 총회 및 학술발표회 Vol.2016 No.11
접촉막은 기존 흡수 공정과 분리막의 장점을 결합한 하이브리드 공정으로써, 고효율-저에너지 공정으로 주목받고 있다. 접촉막에 사용되는 분리막은 물질전달 저항을 최소화하기 위하여 높은 소수성과 기공도가 확보되어야하며, 화학 흡수제에 대한 내성이 필요하다. 따라서, 본 연구에서는 화학적, 열적 안정성이 뛰어난 세라믹 소재의 중공사막 제조하고, 소수성으로 개질하여 모듈화하였다. 또한, 세라믹 중공사막 모듈을 이용하여 CO2 흡수 성능을 평가하고 분석하였다.
소자 시뮬레이션을 이용한 Circuit Model Parameter 생성에 대한 연구
이홍주 한국산학기술학회 2003 한국산학기술학회논문지 Vol.4 No.3
Flash memory는 device 특성상 peripheral circuit을 구성하는 transistor의 종류가 다양하고, 이에 따른 각 transistor 의 동작 전압 영역이 넓다. 이에 따라 설계 초기의 전기적 특성 사양 결정을 위해서는, 실리콘상에서 소자의 scale down에 따른 전기적 특성을 선 검증하는 과정이 필수적이었으며, 이로 인해 설계 및 소자 개발의 기간을 단축하기 어려웠다. 본 연 구에서는 TCAD tool을 사용하여 실리콘상에서의 제작 공정을 거치지 않고, 효과적으로 model parameter를 생성할 수 있도록 하는 방법을 제안하여 전기적 특성 사양 결정과 설계 단계의 시간 지연을 감소할 수 있도록 한다. 또한 성공적 TCAD tool 적용을 위해 필요한 process/device simulator의 calibration methodology와 이를 flash 메모리 소자에 대해 적용 검증한 결과를 분석한다. In the case of the flash memory, various kinds of transistors and the wide range of operation voltage are necessary to achieve the read/write operations. Therefore, the characteristics of transistors are measured in the silicon for the circuit design, and the test vehicle run must be processed. In this study, an efficient design flow is suggested using TCAD tools. The test vehicle is replaced with well-calibrated TCAD simulation. First, the calibration methodology is introduced and tested for flash memory device. The calibration errors are less than 5% of a full chip operation, which is accepted by the designers. The results of the calibration were used to predict I-V curves and model parameter of the various transistors for the design of flash device.
이홍주,김명희,정조원,김성호,최보율,Lee, Hong-Jue,Kim, Myoung-Hee,Jung, Jo-Won,Kim, Seong-Ho,Choi, Bo-Youl 대한예방의학회 2001 Journal of Preventive Medicine and Public Health Vol.34 No.4
Objective : To estimate the prevalence of congenital heart disease from the 1990 student heart disease screening program. Methods : The heart disease screening program for elementary students was conducted in Kyonggi-do, in 1998. The subjects of the present study comprised the 40,402 students who attended the schools in the catchment area of a collaborative university hospital and who participated in the primary examination. The congenital heart disease (CHD) patients were initially identified through a questionnaire about prior medical history, and further through diagnostic tests & medical examinations in the secondary & the tertiary examinations. Certain assumptions were used in the estimation of the number of CHD cases among non-participants of the secondary & tertiary examinations. The overall prevalence of CHD was estimated by adding the CHD detection rates of the participants and the estimated prevalence of the non-participants. Results : Among the 40,402 primary participants, 1,655 were referred further, of whom 79.1% (1,309) participated in the secondary examination. Of these, 121 were referred to the tertiary examination, with a participation rate at this last stage of 80.2%. The positive predictive value (PPV) of the screening tools was the highest when the results of both EKG and the questionnaire were positive. Because 85.9% of the detected cases had a past history of CHD, PPV was higher when the selection criteria in the questionnaire included past CHD history than when it didnt. The CHD defection rate among the participants was 1.76 cases/1,000 and the presumed number of cases among the non-participants was 31; giving an estimated final CHD prevalence of 2.52 cases/1,000 (95% CI : 2.06-3.06). Among the identified cases of CHD, VSD (52.8%) was the most common, followed by PDA (9.7%), TOF (9.7%) & PS (9.7%). Conclusion : Because the characteristics of the non-participants differed from those of the participants, the estimation of prevalence was influenced by the participation rate. Of the detected cases, 85.9% had a past history of diagnosis or operation for CMD. These findings suggested that the prevalence estimated in this study may be an underestimation of the actual condition. Therefore, a birth cohort study is required in order to more accurately estimate the prevalence and the effects of the program.