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室內(실내) 空中眞菌叢(공중진균총)에 대한 數種(수종) 消毒劑(소독제)의 最低抑制濃度實驗(최저억제농도실험)
김수철 ( S C Kim ),원영호 ( Y H Won ),전인기 ( I K Chun ) 대한임상검사과학회 1992 대한임상검사과학회지(KJCLS) Vol.24 No.1
In these day, the people working in the room and old aged persons are increasing by rapid advancement of civilization in this country. Also the incidence of drug abuse or misuse are increasing. So there is a growing tendency at the outbreak of the diseases by the non-pathogenic organisms in the host with immune disturbance. Air born fungi like soil fungi can cause the opportunistic infection in immunedeficiency persons. They also may have a role at inducing the allergic disease such as asthma, allergic rhinitis, urticaria. We tried to figure out the antifungal effects of disinfectants, which use frequently in the hospital, against several air born fungi including Hormodendrum sp., Aspergillus sp., Penicillium sp., Alternaria sp., which are isolated in this hospital. Air born fungi was collected by air exposure of Saubroud glucose media. Mycelia sterilia sp.(species), Alternaria sp., Hormodendrum sp., Rodotrura sp., Penicillium sp., Aspergillus sp., Nigrospora sp., Gliocladium sp. and Pacilomyces sp. Were sound in decreasing order. The suspension of fungi was made by the growing at the nutrient broth and its concentration was measured by spectrometer. Each fungus was inoculated into Saubroud glucose agar plate and MIC (minimal inhibitory concentration) was determined after the growing of 7 days at 37·c. The MICs at the five disinfectants were less than 0.075% in Cresol, 0.3-0.5% Oxyful, 0.6-10 Povidon, 0.075-0.3 % Zephanon, more than 30% Wydex. There is no difference of MIC according to kinds of fungi.
논문 : 노외기계시스템공학 ; 농업용 트랙터의 연료 소비량 예측 모델
김대철 ( D. C. Kim ),김경욱 ( K. U. Kim ),김수철 ( S. C. Kim ) 한국농업기계학회 2010 바이오시스템공학 Vol.35 No.1
A mathematical model was developed to predict the fuel consumption rate consumed by agricultural tractors under arbitrary loaded conditions. The model utilizes the measured data on the fuel consumptions at the full load and at the rated engine speed with partial loads, which can easily be obtained from the official OECD tractor test reports. It was found from the analysis of the measured fuel consumption data that the fuel consumptions at two different speeds does not change with power. The model was developed based on this fact and validated with the measured data of the 159 tractor test reports. The fuel consumptions predicted by the model were compared with those measured under the partially loaded conditions specified in the official OECD tractor test code II. The percent errors of the predicted fuel consumptions were in a range from 0.36 to 2.86% which assured that the developed fuel consumption model can be used practically to predict the fuel consumptions at any speed and power combinations. It was also shown that the developed model predicts the fuel consumption rate better than the Grisso`s model.