左側上顎洞에 發生한 多樣한 橫紋筋 肉腫의 1例

임윤규,이정창 대한이비인후과학회 1981 대한이비인후과학회지 두경부외과학 Vol.24 No.4

Chick embryo률 이용한 식품잔류농약의 기형성 연구

임윤규,최재준,이민용,이영순 한국식품위생안전성학회 1990 한국식품위생안전성학회지 Vol.5 No.4

2013년 여름철 집중관측동안 통합모델 관측시스템실험을 이용한 이동형 레윈존데 관측의 자료동화 효과

임윤규,송상근,한상옥 한국지구과학회 2014 韓國地球科學會誌 Vol.35 No.4

2013년 여름철 집중관측기간(장마기간: 2013년 6월 20일-7월 7일, 집중호우기간: 2013년 7월 8일-30일) 동안 이동식 기상관측시스템의 레윈존데 관측 자료를 전 지구 통합예측시스템 3차원 자료동화에 이용하여 그 효과를 살펴보았다. 효과 분석을 위한 2가지 모의실험 중 규준실험은 기존 기상청 관측 자료만 사용한 것이고 관측시스템실험은 기상청 관측 자료에 이동식 기상관측시스템의 레윈존데 자료를 추가한 것이다. 장마기간 동안 두 실험의 500 hPa 지위고도,850 hPa 기온, 300 hPa 풍속의 관측 및 분석검증 비교 결과 큰 차이를 보이지 않았는데, 이는 고정관측소의 레윈존데자료(0000 UTC 및 1200 UTC)만을 기준으로 검증이 이루어졌기 때문이다. 하지만, 종관기상관측시스템의 시간별 누적강수량 자료를 이용한 강수검증에 있어서 관측시스템실험의 평균 공정임계지수가 규준실험에 비해 2% 수준으로 개선된 결과를 보였다. 특히 강수검증에서 긍정적인 효과가 나타난 사례만 비교한 경우, 관측시스템실험의 평균 공정임계지수가 규준실험에 비해 41%까지 개선된 결과를 보여 이동식 기상관측시스템 레윈존데 관측 자료가 수치모델의 예측정확도 향상에 유용함을 알 수 있었다. Data assimilation effect of mobile rawinsonde observation was evaluated using Unified Model (UM) with aThree-Dimensional Variational (3DVAR) data assimilation system during the intensive observation program of 2013summer season (rainy season: 20 June-7 July 2013, heavy rain period: 8 July-30 July 2013). The analysis was performedby two sets of simulation experiments: (1) ConTroL experiment (CTL) with observation data provided by KoreaMeteorological Administration (KMA) and (2) Observing System Experiment (OSE) including both KMA and mobilerawinsonde observation data. In the model verification during the rainy season, there were no distinctive differences for500 hPa geopotential height, 850 hPa air temperature, and 300 hPa wind speed between CTL and OSE simulation due todata limitation (0000 and 1200 UTC only) at stationary rawinsonde stations. In contrast, precipitation verification using thehourly accumulated precipitation data of Automatic Synoptic Observation System (ASOS) showed that Equivalent ThreatScore (ETS) of the OSE was improved by about 2% compared with that of the CTL. For cases having a positive effectof the OSE simulation, ETS of the OSE showed a significantly higher improvement (up to 41%) than that of the CTL. This estimation thus suggests that the use of mobile rawinsonde observation data using UM 3DVAR could be reasonableenough to assess the improvement of prediction accuracy.

퍼지 학습법을 이용한 역진자 시스템의 위치 및 진동 제어

임윤규,우성문 대구보건대학 1998 대구보건대학 論文集 Vol.18 No.-

This paper is the fuzzy learning control for an unstable and multivariable system used in many cases. Generally, it is very difficult to design the fuzzy controller for an unstable and multivariable system. The reason is that inputs and outputs are coupled and the system is more complex as the number of variables in it increase. To solve these problems we extend Chung's method to the multivariable system and apply it, this method can design fuzzy controller more easily and adapt more actively in work condition changed and obtain the best fuzzy rules. And we apply it to the inverted pendulum. The method which extended Chung's method needs conditions for the system which make stability system in initial time in an unstable system and prove the jacobian matrix of the system the monotonic function. So we make stabilization the system in initial time using 4-dimension fuzzy rules, and we prove the jacobian matrix of the system the monotonic function as experiment. Finally, we operate learning-variables in the fuzzy learning and obtain the optimal controller for inverted pendulum.

Aerosol Physical Characteristics over the Yellow Sea During the KORUS-AQ Field Campaign: Observations and Air Quality Model Simulations

임윤규,김진원,이희춘,이상삼,차주완,류상범 한국기상학회 2019 Asia-Pacific Journal of Atmospheric Sciences Vol.55 No.4

For understanding the aerosol characteristics over the Yellow Sea according to the air flow patterns in East Asia, the aerosol volume concentration distribution by particle size (size distribution) of the shipborne samples collected in the KORUS-AQ campaign is examined in conjunction with air quality (AQ) model simulations and air parcel trajectory analyses. Cluster analyses of the air parcel trajectories show that 42% of the collected air samples originated in Korea and Japan, 30% in inland/east-coast China, 16% in the highlands of Inner Mongolia, and 11% in the East China Sea. The aerosol size distribution varies characteristically according to the upstream path of individual trajectory clusters; particles of diameters <1 μm dominate when the upstream pathways include China, Korea, and/or Japan, that are significant sources of anthropogenic aerosols. Air flows from the East China Sea, a region virtually free of anthropogenic aerosol sources, show aerosol concentrations peaks at larger sizes of 1–5 μm. The flows from the Inner Mongolia are characterized by a bimodal distribution with a peak at 0.7 μm and another peak of a similar magnitude at diameters >2 μm, indicating a mixed industrial-dust aerosol type in which the dust particles from the Inner Mongolia is mixed with fine particles in the industrialized northeast China. Model studies for cases of typical air flow trajectory groups show that the model simulates the spatial distribution of the satellite-observed particulate matter reasonably, but underestimates the observed volume concentration of fine particles <1 μm.

Detection of Antibokies to Sendai Virus Using protein G-based ELISA

임윤규,우희종,이영순 濟州大學校 農科大學 動物科學硏究所 1993 動物科學論叢 Vol.8 No.1

We have established an enzyme-linked immunosorbent assay(EL1SA) using enzyme labeled protein G(Protein G-ELISA) to detect Sendai virus-specific antibodies in laboratory animals. Best results were obtained at fl 6.0 of diluent and at 1 to 10 dilution of sera. Antigen concen-tration for solid phase matrix was 5μg /㎖ and the conjugate of horseradish peroxidase (HRP) and prqtein G was used at 1 to 100 dilution. We, also, investigated the sensitivity and speci-ficity of protein G and protein A. Protein C showed relatively high O. D. values than protein A in general. Furthermore, only Protein G-ELISA could detect the Sendai virus specific anti-bodies in rat. though both methods were effective in other species, mouse and guinea pig. No siginificant nonspecific reation was observed at our experimental conditions in both methods.

1E5)울산지역 역전층 발생에 따른 대기오염 특성분석

임윤규,김유근,조윤미 한국대기환경학회 2003 한국대기환경학회 학술대회논문집 Vol.- No.-

KORUS-AQ기간 선박관측 자료와 수치모델을 이용한 서해상 에어로졸의 물리적 특성

임윤규,김진원,이희춘,차주완,이상삼,류상범 한국기상학회 2018 한국기상학회 학술대회 논문집 Vol.2018 No.10

PF2)공단지역의 국지순환이 대기오염물질의 수송과 고농도 발생에 미치는 영향

임윤규,김유근,오인보 한국대기환경학회 2003 한국대기환경학회 학술대회논문집 Vol.- No.-

GPS 관측소 기선 처리에 따른 가강수량 특성 분석

임윤규,한상옥,정승필,성지혜 한국지구과학회 2013 한국지구과학회지 Vol.34 No.7

In this study the GPS Precipitable Water Vapor (PWV) was derived and evaluated by a radiosode measure during the winter intensive observation in Gangneung site from January 5 till February 29 in 2012. Bernise 5.0 software was used to derive the GPS data. GPS-derived PWV from Zero difference (GANG) and Single difference (GANG and DAEJ) was high variance in time and about 5 times the PWV of radiosonde. GPS post-processing has been performed from two additional IGS site (Xian Dao, Ibaraki-ken) in order to correct the absolute troposphere errors. As a result, the mean bias error (MBE) and root mean square error (RMSE) and correlation compared with radiosonde measure were 0.67 mm, 6.40 mm, and 0.93, respectively. In order to correct the relative troposphere errors from the altitudinal difference between the two GPS receivers, we calculated the GPS-derived PWV by adding the data of GPS that was installed in Gangneung-Wonju University near the Gangwon Regional Meteorological Administration. In the end, the improved result showed that MBE, RMSE and correlation in comparison with radiosonde measures were 0.61 mm, 5.79 mm, and 0.93,respectively. 본 연구에서는 겨울철 특별관측기간(2012년 1월 5일에서 2월 29일)동안 강원지방기상청에 설치된 GPS 자료를이용하여 가강수량을 산정하고 이를 라디오존데 가강수량 자료와 비교·분석하였다. GPS 자료를 후처리하기 위하여Bernese 5.0 소프트웨어를 사용하였다. GANG 단독측위와 GANG, DAEJ의 비교적 짧은 거리의 두 지점만을 이용한 상대측위 결과에 따른 가강수량은 시간에 따른 변동폭이 크고 실제 환산된 가강수량에 비해 5배 정도 크게 나타났다. 이러한 대류권 절대 오차에 의한 오류를 제거하기 위한 방법으로 Xian Dao (BJFS), Ibaraki-ken (TSKB) 국제 IGS 사이트의 장거리 기선설정으로 GPS 후처리를 실시한 결과 라디오존데 관측값과 상관이 0.93, 평균편의오차가 0.67, 평균제곱근오차가 6.40 수준으로 나타났다. 또한 GPS 수신기 고도 차이로 발생할 수 있는 대류권 상대 오차를 제거하기위해강원지방기상청과 아주 가까운 지점인 강릉·원주대학교에 설치된 GPS 자료를 추가하여 후처리한 결과 상관이 0.93,평균편의오차가 0.61, 평균제곱근오차가 5.79로 보다 개선된 결과를 보였다.