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김재환,한민수,이장존,송치영,이재만,김민지,이명성,Kim, Jae-Hwan,Han, Min-Su,Lee, Jang-Jon,Song, Chi-Young,Lee, Jae-Man,Kim, Min-Ji,Lee, Myeong-Sung 국립문화재연구소 2009 保存科學硏究 Vol.30 No.-
Stone cultural heritages are mostly situated in field, so they are damaged from mechanical, chemical and biological weathering, and their degree of strength is also weaken. Therefore, the scientific conservation of the stone cultural heritages are necessary in order to the long-term maintenance and safety conservation. In this study, we attempt to estimate on the field application of consolidants which are Wacker OH 100, Remmers KSE 300 and 1T1G according to the quality of the rocks. Based on the ultrasonic velocity, conditions of weathering damage before treatment are mainly ranked completely weathering condition (CW) or partly highly weathering condition (HW). After the first treatment, weathering damage conditions are changed by the high weathering condition (HW). These results shows that the internal pores of stone are filled with consolidant materials, so average ultrasonic velocities increases after treatment. And Remmers KSE 300 which is consolidant material is highest rate of increase of average ultrasonic velocities.
김재환,김영록,김해영,Kim, Jae-Hwan,Kim, Young-Rok,Kim, Hae-Yeong 한국식물생명공학회 2011 식물생명공학회지 Vol.38 No.2
1994년 처음으로 GM 토마토인 Flavr Savr가 시장에 나온 이후, 2010년 현재 140여 품목의 GM식물이 전 세계적으로 상업화되었다. GM식물들에 대한 안전성 승인여부의 확인 및 표시제관리를 위하여 이들 GM식물내로 도입된 삽입유전자의 정보를 이용한 검정방법이 도입되었으며, 또한 도입유전자의 발현된 단백질을 분석하기 위하여 정성 및 정량을 위한 면역학적 방법이 도입되었다. 본 총설에서는 국내 외적으로 개발된 콩, 옥수수, 카놀라, 면화 등의 GM식물에 적용된 multiplex PCR, real-time PCR 방법과 최신 개발 중인 microarray, 나노기술 등을 활용한 방법들을 조사하였다. Since the first commercial GM plant, the FlavrSavr tomato, authorized in 1994, more than 140 GM plants were authorized for marketing globally. For the authorization and labelling of GM plants, the detection methods for genes introduced and proteins expressed in GM plants were developed qualitatively and quantitatively. This review presented the detection methods, conventional PCR, multiplex PCR and real-time PCR, for soybean, maize, canola and cotton as the dominant GM plants. Also, microarray assay and nanotechnology as new approaches for detection methods for GM plants were investigated.
무기체계 임베디드 소프트웨어에 대한 TFM 기반 시스템 테스트 모델 설계 및 적용
김재환,윤희병,Kim, Jae-Hwan,Yoon, Hee-Byung 한국정보처리학회 2006 정보처리학회논문지D Vol.13 No.7
In this paper we design the system test model for the weapon system embedded software based on the Time Factor Method(TFM) considering time factors and suggest the results through the case study. For doing this, we discuss the features, system tests and the object-oriented model based UML notations of the weapon system embedded software. And we give a test method considering time factors, a measuring method to time factors, and a test case selection algorithm as an approach to the TFM for designing the system test model. The TFM based system test model consists of three factors (X, Y, Z) in the weapon system embedded software. With this model, we can extract test cases through the selection algorithm for a maximum time path in 'X', identify the objects related to the Sequence Diagram in 'Y' and measure the execution time of each objects which is identified by the Timing Diagram in 'Z' Also, we present the method of extracting the system test cases by applying the proposed system test model to the 'Multi-function missile defense system'. 본 논문에서는 무기체계 임베디드 소프트웨어의 시간 요소를 고려한 TFM(Time Factor Method) 기반의 시스템 테스트 모델을 설계하고, 적용사례를 통하여 결과를 제시한다. 이를 위해 무기체계 임베디드 소프트웨어의 특징과 시스템 테스트 그리고 객체지향 모델의 표현방법인 UML 표기법에 대하여 알아보고, 시스템 테스트 모델 설계를 위한 TFM 접근 방법으로 시간 요소를 고려한 테스트 방법과 시간 요소 측정 방법 그리고 테스트 케이스 선정 알고리즘을 제시한다. 무기체계 임베디드 소프트웨어의 TFM 기반 시스템 테스트 모델은 세 가지 요소 (X,Y,Z) 로 구성되며, 'X' 에서는 최대시간경로를 선정하는 알고리즘을 통해 테스트 케이스가 도출되고, 'Y' 에서는 Sequence Diagram과 관련된 객체를 식별하고, 'Z'에서는 Timing Diagram을 통하여 식별된 각 객체들의 실행시간을 측정한다. 또한 제안한 W:M 기반 시스템 테스트 모델을 '다기능 미사일 방어시스템'에 적용하여 테스트 케이스를 추출하는 방법을 제시한다.
원자력 발전소 사고관리 직무의 인간신뢰도분석을 위한 수행영향인자의 선정
김재환,정원대,Kim, Jae-Hwan,Jeong, Won-Dae 대한인간공학회 2001 大韓人間工學會誌 Vol.20 No.2
This paper deals with the selection of the important Influencing Factors (IFs) under accident management situations in nuclear power plants for use in the assessment of human errors. In order to achieve this goal, we collected two types of IF taxonomies, one is the full set IF list mainly developed for human error analysis. and the other is the IFs for human reliability analysis (HRA) in probabilistic safety assessment (PSA). Five sets of IF taxonomy among the full set IF list and ten sets of IF taxonomy among HRA methodologies were collected in the study. From the review and analysis of BRA IFs, we could obtain some insights for the selection of HRA IFs. By considering the situational characteristics of the accident management domain, candidate IFs are chosen. Finally, those IFs are structured hierarchically to be appropriate for the use in the assessment of human error under accident management situation. Three nuclear accidents such as TMI. Chernobyl and JCO were analysed to validate the proposed taxonomy.