• 한국식품위생안전성학회지
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• 제18권4호
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• pp.237-242
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• 2003

식품산업체에서 검사한 자료의 일반세균수는 대부분 불규칙 분포를 나타낸다. 최근 이러한 불규칙적인 경향에 대하여 미생물수의 lognormal 분포 특성을 이용하는 확률분포 모델을 적용함으로써 좀더 정확한 변화의 특성을 밝히고 있다. 확률분포 모델을 이요하면 일반세균수와 대장균군 등의 분석결과에 대해 과거의 단순한 경향분석을 벗어나, 유용한 분석이 가능한 것으로 나타나고 있다. 본 여구는 냉동만두류를 생성하는 2개 업체의 각각 1년 동안 실험된 일반세균 자료를 갖고, 확률분포 모델 활용의 타당성과 업체간의 위생수준 상호비교 그리고 예상되는 위해발생 예측에 적용 검토하였다. 그 결과 정량적인 미생물 자료에 대한 확률분포 모델의 적용은 식품산업체에서 일반세균수에 의한 위해발생 가능성을 예측하고 안전관리 수준을 결정하는데 유용한 것으로 판단된다.

• Journal of Electrical Engineering and Technology
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• 제10권5호
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• pp.1921-1929
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• 2015

The smart substation is the heart of a transmission system, which is particularly emphasized as the most significant composition of smart grids in China. In order to assess the functionality performance of substation technologies, this paper presents methods used to identify the most promising solutions for smart substation design and to evaluate the technical levels of available technologies. The multi-index optimization model is presented to address the issue of smart substation planning. A mathematical model of the planning decision problem is established with multiple objectives consisting of economic, reliability, and green key indices, and many kinds of concerns including physical and environmentally friendly operations are formulated as a set of constraints. With respect to the assessment of the technical level regarding integration of advanced technologies into a substation, a modified grey whitenization weight function is adopted to structure a novel grey clustering method. The proposed grey clustering approach is used to overcome the difficulty of insufficient quantitative assessment capacity for traditional methods. The evaluation of technical effects provides the classification definition for the development phase and the maturity level of the smart substation. The effectiveness of the proposed approaches in planning decision-making and evaluation of construction efforts is demonstrated with case studies involving the actual smart substation projects of Wenchongkou substation in China Southern Power Grid (CSG) and Mengzi substation in State Grid Corporation of China (SGCC).

• 한국대기환경학회지
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• 제18권2호
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• pp.95-112
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• 2002

A precision analysis was conducted for the quantification of trace metal levels in airborne particulates using ICP-MS. According to our study the quantitative analysis using Whatman grade 41 filters produces more precise and representative values of metal concentrations than that using EPM 2000 filters. The mean concentration of PM 10 analyzed during 1998 ~ 2000 was 82 $\mu$g/m$^3$. The concentrations of human carcinogens such as As and Cr were 8.65 and 25.87 ng/m$^3$, respectively, while those of probable human carcinogens such as Cd and Pb were 3.13 and 219.46 ng/m$^3$, respectively. Time-weighted mean concentration, calculated using surface wind speed and direction, indicated that there were differences between metals of crustal origin and metals of anthropogenic origin. The rectorial concentrations of anthropogenic metals and PM 10 were higher for north -west sector with calm or low wind speed conditions than for any other sector with high wind speed conditions. On the contrary, the rectorial concentrations of crustal metals were high with high wind speed. In addition, the sectorial concentrations of crustal metals were more affected by south-west wind directions, which were compared with those of anthropogenic metals. The enrichment factor (EF) values of many anthropogenic metals were higher than 50, while those of crustal metals were lower than 3, respectively. The concentrations of Cr and Ni in Daejeon industrial complex area were 11 times higher than those in the background site of Kuopio in Finland, while that of Pb in the complex area was 22 times higher, respectively.

• Advances in Computational Design
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• 제3권4호
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• pp.367-384
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• 2018

The consideration of constructability issues at the design stage can lead to improved construction performance with smooth project delivery and savings in time and money. Empirical studies demonstrate the value obtained by integrating construction knowledge with the building design process, and its benefits for owners, contractors and designers. However, it is still a challenge to implement the concept into current design practice. There is a need for a decision support tool to aid designers in reviewing their design constructability, deploying current technological tools, such as BIM. Such tools are beneficial at the conceptual design stage when there is a room to improve the design significantly with less incurred cost. This research investigates how current process- and object-oriented models can be used to assess design constructability. It proposes a BIM-based model using embedded information within the design environment to conduct the assessment. The modelling framework is demonstrated in four key parts; namely, the conceptual design model, the constructability assessment model, the assessment process model and the decision-making phase. Each is associated with a set of components and functions that contribute towards the targeted constructability assessment outcomes. The proposed framework is the first to combine a numerical assessment system and a rule-based system, allowing for both quantitative and qualitative approaches. The modelling framework and its implementation through a prototype are described in this paper. It is believed that this framework is the first to enable users to transfer their construction knowledge and experience directly into a design platform linked to BIM models. The assessment criteria can be customised by the users who can reflect their own constructability preferences into various specialised profiles that can be added to the constructability assessment model. It also allows for the integration of the assessment process with the design phase, facilitating the optimisation of constructability performance from the early design stage.

• Asian Pacific Journal of Cancer Prevention
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• 제16권11호
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• pp.4623-4628
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• 2015

Breast cancer still remains as the most frequent cancer with second mortality rate in women worldwide. There are no validated biomarkers for detection of the disease in early stages with effective power in diagnosis and therapeutic approaches. Cancer/testis antigens are recently promising tumor antigens and suitable candidates for targeted therapies and generating cancer vaccines. We conducted the present study to analyze transcript changes of two cancer/testis antigens, OIP5 and TAF7L, in breast tumors and cell lines in comparison with normal breast tissues by quantitative real time RT-PCR for the first time. Significant over-expression of OIP5 was observed in breast tumors and three out of six cell lines including MDA-MB-468, T47D and SKBR3. Not significant expression of TAF7L was evident in breast tumors but significant increase was noted in three out of six cell lines including MDA-MB-231, BT474 and T47D. OIP5 has ssignificant role in chromatin organization and cell cycle control during cell cycle exit and normal chromosome segregation during mitosis and TAF7L is a component of the transcription factor IID, which is involved in transcription initiation of most protein coding genes. TAF7Lis located at X chromosome and belongs to the CT-X gene family of cancer/testis antigens which contains about 50% of CT antigens, including those which have been used in cancer immunotherapy.

• 농촌지도와개발
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• 제21권3호
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• pp.181-213
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• 2014

본 연구는 최근 우리나라 ODA의 양적 성장이 이루어지고 있는 가운데 농업분야 ODA 질적 제고를 위해 우량사업 발굴을 위한 접근법에 대해 분석하였다. 이 분석은 국제사회의 ODA 발전 패러다임, 우리나라 ODA 발전 방향 및 농업분야 ODA 사업 발굴에 있어서의 구조 절차 내용상의 문제점을 기초로 이루어졌다. 분석 결과 전략에 근거한 접근(Strategy Approach), 비교우위에 기초한 접근(Comparative Advantage Approach), 파트너십에 기초한 접근(Partnership Approach), 공여주체간 협의에 기초한 접근(Networking Approach), 모델화 접근(Modeling Approach) 등 5가지 접근법이 도출되었다. 각각의 접근법이 유기적으로 연계되어 적용될 경우 우량사업 발굴 가능성이 더욱 높아지고, 결국에는 사업의 효과성 제고로 이어질 것이다. 본고에서는 이러한 접근법을 적용하여 맞춤형 ODA 사업을 발굴한 KAPEX 프로그램 사례를 소개하였다.

• 대한토목학회논문집
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• 제31권1B호
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• pp.13-20
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• 2011

강수량은 시공간적으로 변화하는 수문변량으로서 강수량의 시간적인 특성 또한 강수량의 특성을 정의하는데 매우 중요한 요소이다. 본 연구에서는 극치강수량의 지역빈도해석을 위한 범주화 과정에서 기존의 강수량과 관측소 위치좌표만을 이용한 범주화를 통해 해결할 수 없는 강우 발생의 계절적 변화와 집중에 대한 고려를 반영하기 위하여, 기존의 양적 범주화 과정에 시간적인 영향을 고려할 수 있는 요소로서 극치강수량 발생 시기 통계치를 활용할 수 있는 범주화 과정을 제시하였다. 본 연구에서는 극치강수량의 발생 시기에 대한 정량적인 분석이 가능한 순환통계기법을 이용하여 관측 지점별 시간 통계량을 산정하고, 이를 극치강수량과 결합하여 시 공간적인 특성자료를 생성한 후 수정 K-means 방법을 이용하여 군집화 해석을 수행하였으며, 전국을 다섯 개의 군집으로 분류하였다. 기존의 양적 범주화 결과와의 비교를 통해 발생 시간 통계치를 결합한 범주화 결과가 지형 및 권역을 반영하는 결과를 보임을 확인하였다.

• 대한두개안면성형외과학회지
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• 제16권2호
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• pp.53-57
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• 2015

Background: Surgical outcomes after orbital wall decompression have focused on the degree of exophthalmos and intraocular pressure. The aim of this research was to evaluate intraorbital volume using computed tomography (CT) images following two-wall decompression using a combined subcilliary and endoscopic approaches. Methods: A retrospective review was performed for all patients who had undergone the two-wall decompression method. The pre/postoperative CT images were used to evaluate changes in intraocular volume. Intraocular pressure was evaluated using applanation tonometry. Surgical details are discussed within the body of text. Results: Two-wall decompression thru the medial wall and floor was associated with an average intraorbital volume change of $7.3cm^3$, with maximal accommodation up to $13cm^3$. Changes in intraocular pressures were not statistically significant. Conclusion: Two-wall decompression was effective in accommodation of up to $13cm^3$ of soft tissue herniation. There was no statistically significant association between changes in volume to pressure.

• 한국터널지하공간학회 논문집
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• 제7권1호
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• pp.73-88
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• 2005

본 논문에서는 현재 암반 지하 구조물의 설계에 있어 사용되고 있는 접근법인 정량적 암반분류시스템, 시공중 암반 거동에 근거한 분류시스템 그리고 일반적인 정성적 설계 절차의 특징 및 장단점을 살펴보았으며, 이러한 설계 기법의 단점을 해결하기 위하여 제안된 오스트리아 터널 설계 가이드라인을 소개하고 국내의 경우와 비교하였다. 그 결과 기술적으로 안전하고 경제적인 터널 건설을 위해서는 불확실한 지반조건 및 환경조건에 매우 유연하게 대처할 수 있는 설계 및 시공 기술이 필요하다고 판단되며, 오스트리아 터널 설계 가이드라인에서 이와 관련된 기준을 제시하고 있다. 따라서 국내에서도 안전하고 경제적인 터널 건설을 위하여 시공중 계측 자료를 충분히 활용하여 실제 지반 조건을 예측하고 불확실한 지반 조건에 유연하게 대처할 수 있는 설계 및 시공 기술을 적용하는 것이 바람직하다고 사료된다.

• 정보처리학회논문지D
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• 제9D권6호
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• pp.1119-1126
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• 2002

이 논문에서는 공간적 통계기법에 근거한 예측적 공간 데이터 마이닝 방법을 제안하고, 산불위험지역을 예측하는데 적용하였다. 제안된 방법은 조건부 확률과 우도비를 이용한 방법으로 과거 산불발생지역에 대해 산불과 관련된 공간데이터 집합들 사이의 정량적 관계에 의존적인 예측 모델이다. 두 가지 방법을 이용하여 산불위험지역 예측도를 만들고, 각 모델의 예측력을 평가하기 위해 산불위험율(FHR : Forest Fire Hazard Rate)과 예측률곡선(PRC : Prediction Rate Curve)을 이용하였다. 제안된 두 가지 예측모델의 예측력 비교분석 결과, 우도비 방법이 조건부 확률 방법보다 더 우수한 것으로 나타났다. 이 논문에서 제안된 산불위험지역 예측모델을 이용하여 작성된 산불위험지역 예측도는 산불예방과 산불감시장비 및 인력의 효율적인, 배치 등 산불관리의 효율성을 높이는데 많은 도움을 줄 것으로 기대된다.