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다중 매트릭스 분석 기법을 이용한 최적 건축공법 선정 의사결정지원 모델
이종식,임명관,Lee, Jong-Sik,Lim, Myung-Kwan 한국건축시공학회 2016 한국건축시공학회지 Vol.10 No.4
건축물의 고층화, 복합화, 대형화에 따라 다양한 공법이 개발되고 있어 주요 공종에 대한 공법 선정의 중요성이 대두되고 있다. 그러나 프로젝트의 특성을 충분히 고려하지 못하고 있고 주요 공법의 선정을 위한 객관적 기준이나 자료 또한 부족한 실정이며, 실무자의 경험과 직관에만 의존하여 선정이 이루어지고 있는 점이 지적되어 왔다. 이러한 문제점을 해소하기 위해 퍼지, AHP, CBR 등 인공지능이론을 이용한 주요 공종의 공법 선정을 위한 다양한 연구가 진행되었다. 그러나 실무에서 공법 선정 시 공종별 특성 및 현장별 조건을 고려하여 주요 공종마다 각기 다른 여러 가지 공법 선정 모델을 적용하기는 어렵다. 이에 본 연구에서는 매트릭스 분석과 선형변환을 이용하여, 실무에서 활용이 용이한 범용적인 성격의 의사결정지원 모델을 제시하고, 사례 연구를 통해 흙막이 공법 선정 과정에 적용하여 연구모델의 정합성을 검증하였다. According to high-rise, complexation, and enlargement of buildings, various construction methods are being developed, and the significance of construction method selection about main work types has emerged as a major interest. However, it has been pointed out that hand-on workers cannot consider project characteristics carefully, and they lack an objective standard or reference for main construction method selection. Hence, the selection is being made depending on hand-on workers' experience and intuition. To solve this problem, various studies have proceeded for construction method selection of main work types using Artificial Intelligence like Fuzzy, AHP and Case-based reasoning. It is difficult to apply many different kinds of construction method selection to every main work type with consideration for characteristics of work types and condition of a construction site when selecting construction method in the field. Accordingly, this study proposed the decision-making model which can apply to fields easily. Using matrix analysis and liner transformation, this study verified consistency of study models applied in the process of soil retaining selection with a case study.
이종식,( Jae Young Hur ),( In Ae Kim ),( Hee Joung Kim ),( Chang Min Choi ),( Jae Chol Lee ),( Wan Seop Kim ),( Kye Young Lee ) 대한결핵 및 호흡기학회 2017 대한결핵 및 호흡기학회 추계학술대회 초록집 Vol.124 No.-
Background: Extracellular vesicles (EVs) are known to carry oncogenic double stranded DNA. We investigate the liquid biopsy using cell-free (cf) DNA and extracellular vesicular (EV) DNA of pleural effusion for EGFR genotyping. Methods: Fifty pleural effusion of pulmonary adenocarcinoma patients were evaluated. Non-cellular components after removing cell pellets by centrifuge were used for liquid biopsy and EVs were isolated by ultracentrifuge method. EV DNA and cf DNA were extracted separately and EGFR genotyping was done by PNA-clamping method. For the analysis of T790M detection, cell block or cytology slides were used as rebiopsy sample, when compared with liquid samples. Results: Among 32 EGFR-TKI naive patients with known tissue EGFR genotyping, liquid biopsy using effusion EV DNA showed 100% matching with tissue EGFR genotyping in 19 EGFR mutant cases and detected 3 more EGFR mutant cases in tissue wild type (WT) patients, while liquid biopsy using effusion cf DNA missed 2 cases of tissue-based EGFR mutant patients and found 2 more EGFR mutant cases in tissue WT patients. In 18 patients with acquired resistance to EGFR-TKI, EGFR genotyping using effusion EV DNA detected T790M mutation in 13 of 18 (72.2%) patients, while 11 of 18 (61.1%) patients were detected by using effusion cf DNA, respectively. In contrast, only 3 patients were found to have T790M when using cell block slides. Conclusions: Liquid biopsy using effusion EV DNA is highly promising for EGFR genotyping, especially detecting T790M mutation, when compared with cf DNA.
이종식,이정택,김건엽,이관용,박병용 한국농림기상학회 2007 한국농림기상학회지 Vol.9 No.1
The issue of acid precipitation and related environmental problems in East Asia has been emerging. To evaluate the acidity and chemical characteristics of rainwater in Korea, its chemical properties during cultivation season from April to October in 2005 were investigated at Taean. Also, to estimate the contribution of ions on acidity, ion composition characteristics and neutralization effects by cations were determined. The electrical conductivity balance between measured and estimated values showed a high correlation. Rainwater was highly distributed in the range of pH 4.5~5.0. The acidity of rainwater was relatively low during the month of June compared with other monitored periods. Na+ was the main cation, followed by H+ > Ca2+ > NH4 + > K+ > Mg2+. Among these ions, Na+, NH4 +, Ca2+ and H+ comprised over 94% of the total cations. Rainwater anion composition was more than 80% with SO4 2. and NO3 .. In rainwater samples, NH4 + and Ca2+ contributed greatly to neutralizing the rain acidity. The sulfate content decreased until September, and sea salt derivatives were higher in May and October than during other monitored periods. Also, 78% of the soluble sulfate in rainwater was nss-SO4 2. (non-sea salt sulfate).