• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.9-18
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• 2020

Recently, studies of integrated management platform and performance-based maintenance decision-marking systems have proceeded to the efficient management of port facilities. The purpose of this study was to manage and operate port facilities based on performance and to provide long-term durability and budgetary execution. Thus, it is essential to secure basic data to be analyzed in an integrated platform and decision-marking system. This study derived the data linkage measures to secure port facility design and management information. The target of deriving the data linkage was the POMS (Port Facility Management System) currently in operation by the MOF (Ministry of Oceans and Fisheries). To derive data linkage, analyze the database of POMS and select the data required for the operation-integrated platform and decision-marking system. The final data linkage target was determined by compiling the requirements of the relevant experts and selecting the final target of three groups (port and facility information, management information, and user information). As a result, the API interface design was prepared for detailed linked data and data linkage framework between the linkage data of POMS. The provision of real-time data linkage between POMS and integrated platform is expected to improve the operational efficiency of the integrated platform.

• Korean Journal of Construction Engineering and Management
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• v.19 no.5
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• pp.3-9
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• 2018

Although Life Cycle Cost (LCC) must be evaluated by experts, sometimes it may not allow a sufficient time for even the experienced LCC expert to make rational decisions. Therefore, it often ends with relatively comparing the final numbers. We have broken down 110 technical proposals that are actually bade and accepted for large construction projects, and then have analyzed the uncertainty of Maintenance and Energy (M&E) cost during building life cycle, which turns out be the most volatile factor in uncertainty of LCC. Also we suggest "Value Engineering Index (VEI)" - the reduced M&E cost that is normalized by the reduced first cost. It is analyzed that the most uncertain factors of the M&E cost include repair and replacement term differing from each project, duplicated repair and replacement, non-standard repair items, and site-specific energy cost. Eventually we propose a VEI population with a mean of 1.38 and a standard deviation of 1.19, which is obtained by individually and exclusively applying the uncertain factors of the M&E cost to the 35 standard sample of technical proposals. The LCC evaluators may be able to use the VEI population as the benchmark to select the technical proposal with the most reasonable LCC among many others in two suggested manners; the one is to deterministically calculate the probability of single VEIs, and the other is to stochastically calculate the probability of the VEIs where uncertainty is quantified.

• Information Systems Review
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• v.21 no.4
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• pp.47-68
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• 2019

As cloud services and deployment models become diverse, there are a growing number of cloud computing selection options. Therefore, financial companies need a methodology to select the appropriated cloud for each financial computing system. This study adopted the Balanced Scorecard (BSC) framework to classify factors for the introduction of cloud computing in financial companies. Using Analytic Hierarchy Process (AHP), the evaluation items are layered into the performance perspective and the cloud consideration factor and a comprehensive decision model is proposed. To verify the proposed research model, a system of financial company is divided into three: account, information, and channel system, and the result of decision making by both financial business experts and technology experts from two financial companies were collected. The result shows that some common factors are important in all systems, but most of the factors considered are very different from system to system. We expect that our methodology contributes to the spread of cloud computing adoption.

• Journal of Hospice and Palliative Care
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• v.11 no.3
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• pp.140-146
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• 2008

Purpose: Sooner of later, end-of-life care decision-making will unfold and be settled during the professional lives of medical students. However, there is prevalent ambiguity and uncertainty between the palliative treatment and euthanasia. We conducted this survey to investigate attitudes of medical students towards end-of-life making decisions, and to find out which factors primarily influenced the attitudes. Methods: A study was conducted among medical students at one university, the Republic of Korea. A written questionnaire was sent to all the 1st, 2nd, and 3rd-year medical students. It presented 5 statements on end-of-life decision-making. Students were asked whether they agreed or disagreed with each statement. Results: The response rate was 74.4%, and 267 questionnaires were analyzed. Percentages of agreement with each statements on Voluntary active euthanasia (VAE), Physician assisted suicide (PAS), Withholding life-sustaining management, Withdrawing life-sustaining management, and Terminal sedation (TS) was 37.1%, 21.7%, 58.4%, 60.3%, and 41.6%, respectively. The grade of students, religious activity, and educational experience were determinant factors. Agreement on each statements was higher in the low religious activity group than in the high religious activity group. Agreement on TS was higher among 3rd year students during their clerkship than among 1st and 2nd year students. Age of students and the experience of dying-people care had no significant influence. Conclusion: In end-of-life decision-making, religious and educational factors influenced medical students' attitudes. Especially, the experience of education during clerkship had significant influence on the attitude. Proper teaching on end-of-life decisions should further be considered during medical students' clerkship.

• Clean Technology
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• v.13 no.2
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• pp.87-98
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• 2007

As the interest in environmental problems increased, the guideline of effluent qualities becomes strict and the amount of sludge produced from the wastewater treatment facilities steeply increased. The revised Korean acts prohibit the direct reclamation of the sludge exhausted in sewage treatment works from 2003, and the ocean dump of sludge will be also prohibited from 2012. Therefore, the sludge must be recycled, incinerated or composted. To properly perform the utilization and disposal operations, the establishment of well-defined procedures for the characterization of sludge by physical, chemical and biological method and setting up of guidelines for different treatment and disposal routes has become necessary. However, there have not been such standardized methods for sludge characterization in Korea. This review analyzes the present status of establishment and problems of sludge characterization method of Korea. Finally, it was proposed total 15 items of standardized characterization methods suitable to our country for proper sludge recycling and disposal, which was based on the more systematic standard methods of Germany (DIN 38414) and those of advanced nations.

• The Korean Journal of Nuclear Medicine Technology
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• v.23 no.2
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• pp.43-50
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• 2019

Purpose The principle of nuclear medicine test is divided into two main categories: competition(radioimmunoassay, RIA) and noncompetitive reaction(Immunoradiometric assay, IRMA). It is known that the curve fitting method, which is commonly used in inspection field, uses Spline interpolation in RIA method and Linear interpolation method in IRMA method. Among them, the insulin test using the IRMA test showed a significant difference, especially at low concentrations, despite the same algorithm of linear interpolation between fully automated radio immunoassay analyzers. In this study, we aim to obtain results from applying two different of algorithm using fully automated radio immunoassay analyzers including Gamma pro, Gamma 10, Cobra, and SR300. Materials and Methods A total of 30 test samples were selected for the test of TSH, ferritin, C-peptide, and insulin serum levels. Test was performed by IRMA method. We compared the difference in the results of applying the linear interpolation method and the spline interpolation method to Gamma Pro, Gamma 10, Cobra, and SR300 equipment. Results Two-way ANOVA was used for statistical analysis. The significance level was applied as P <0.05. The results of TSH, ferritin, C-peptide, and insulin tests were compared between the fully automated radio immunoassay analyzers. There was a significant difference between ferritin, C-peptide, and insulin serum levels(P<0.001). TSH didn't show any significant different between the devices(P=0.29). In the difference between linear and spline interpolation, there was no significant difference between insulin test(P=0.08), TSH test(P=0.81), and Ferritin test(P=0.06). However, C-peptide test showed a significant difference(P=0.03). Especially, the insulin test showed significant difference in lower ranges. As a result of comparing and analyzing the difference between the two interpolation methods, the devices in the low concentration group showed significant difference(P<0.001). Conclusion In case of new equipment in the laboratory it is necessary to recognize that there is a difference in the curve fitting method for each automated radio immunoassay analyzers in the low concentration area when the principle of inspection is IRMA method.

• Proceedings of the Technology Innovation Conference
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• 2003.06a
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• pp.116-135
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• 2003

우리나라는 최근에 IMF 에 재정적 지원을 요청하는 상황이 계기가 되어 국가경쟁력과 삶의 질 측면에 상당한 관심을 가지게 되었다. 이러한 환경변화는 사회저변에 효율성을 강조하는 풍토를 확산시키고, 위기상황의 재발방지를 위해 그 원인을 분석하고 대안을 마련하는 등 사회 전반적으로 각고의 노력을 촉발시키게 하는 계기가 되었다. 이러한 논의들 중에 눈에 띄는 한가지는 과학과 기술사이의 관계에 관한 논쟁인데, 최근에 활발히 논의되고 있는 과학과 기술사이의 연계는 미국을 중심으로 많은 연구가 진행되고 있으며, 이러한 연구들은 대체적으로 과학과 기술사이에는 상당한 정도의 상관관계가 있고, 이 둘 사이는 서로 상호작용하면서 경제성장을 이끄는 역할을 한다고 주장하고 있다. 본 연구에서는 이러한 논의들을 국내에 적용시킴으로써 해외의 사례가 우리에게 시사점이 될 수 있는지 체계적으로 분석하려고 시도하였다. 과학과 기술사이의 연관성을 알아보기 위하여, 과학의 연구성과를 대변하는 대용치로 SCI논문을 사용하였고, 이러한 연구성과가 얼마만큼 사회에 파급되어 산업화 또는 상업화되었는지를 측정하기 위해 특허출원수를 추출하여, 연구의 목적에 맞게 modify 하는 과정을 거쳤으며, 추세분석과, 상관관계분석 그리고 회귀분석을 실시하였다. 본 연구는 실증분석을 통하여, 과학과 기술사이에는 일부 소수의 영역을 제외하고 매우 높은 상관관계가 있음을 발견하였고, 우리나라의 주력산업이었던 기계분야의 쇠퇴를 실증적으로 확인 할 수 있었으며, 정부의 적극적인 지원아래 폭발적으로 성장하였던 IT분야의 증가추세를 확인할 수 있었다. 따라서 본 연구에서는 국가경쟁력의 근간이 되는 연구개발부문에 경제논리를 배제하는 지속적인 투자를 제언함으로써, 국가경쟁력 제고와 삶의 질 향상이라는 두 마리 토끼를 잡을 수 있는 방안은 과학과 기술의 유기적인 연계에 있음을 밝히고 있다. 건설을 위한 정책적 시사점과 동북아 연구개발정보 Portal 및 APEC APGrid 연구망 등의 구체적인 정보인프라 구축방안을 도출하였다.술 주기를 도출하고, 산업 내 평균 권리 청구 항목 수를 이용하여 각 산업의 기술 범위를 비교하였다. 각각의 동적 분석을 통해 시간에 따른 변화 양상이 관찰하였고, ANOVA 분석을 이용하여 통계적 유의성을 검증하였다. 본 연구는 현재의 기술 패러다임 내에서 Pavitt이 제시한 산업 분류의 근거를 보충 설명하였고 특허 정보를 이용하여 기술혁신의 산업별 유형에 대한 폭넓은 분석방법을 제시하였다.별 시간대별 효과분석을 통하여 정책의 시행여부가 결정되어야 할 것이다. 한편, 화물전용차선의 설치로 인한 물류비용의 절감을 보다 효과적으로 달성하기 위해서는 종합류류 전산망의 시급한 구축과 함께 화물차의 적재율을 높이고 공차율을 낮출 수 있는 운송체계의 수립이 필요한 것으로 판단된다. 그라나 이러한 화물전용차선의 효과는 단기적인 치유책일 수밖에 없기 때문에 물류유통 시설의 확충을 위한 사회간접자본의 구축을 서둘러 시행하여야 할 것이다.으로 처리한 Machine oil, Phenthoate EC 및 Trichlorfon WP는 비교적 약효가 낮았다.>$^{\circ}$E/$\leq$30$^{\circ}$NW 단열군이 연구지역 내에서 지하수 유동성이 가장 높은 단열군으로 추정된다. 이러한 사실은 3개 시추공을 대상으로 실시한 시추공 내 물리검층과 정압주입시험에서도 확인된다.. It was resulted from increase of weight of single cocoon. "Manta"2.5ppm produced 22.2kg of cocoon. It is equal to 9% increase in index, as compared to that

• Journal of Korean Tunnelling and Underground Space Association
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• v.24 no.6
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• pp.617-628
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• 2022

A ground support pattern should be designed by properly integrating various support materials in accordance with the rock mass grade when constructing a tunnel, and a technical decision must be made in this process by professionals with vast construction experiences. However, designing supports at the early stage of tunnel design, such as feasibility study or basic design, may be very challenging due to the short timeline, insufficient budget, and deficiency of field data. Meanwhile, the design of the support pattern can be performed more quickly and reliably by utilizing the machine learning technique and the accumulated design data with the rapid increase in tunnel construction in South Korea. Therefore, in this study, the design data and ground exploration data of 48 road tunnels in South Korea were inspected, and data about 19 items, including eight input items (rock type, resistivity, depth, tunnel length, safety index by tunnel length, safety index by rick index, tunnel type, tunnel area) and 11 output items (rock mass grade, two items for shotcrete, three items for rock bolt, three items for steel support, two items for concrete lining), were collected to automatically determine the rock mass class and the support pattern. Three machine learning models (S1, A1, A2) were developed using two machine learning algorithms (SVR, ANN) and organized data. As a result, the A2 model, which applied different loss functions according to the output data format, showed the best performance. This study confirms the potential of support pattern design using machine learning, and it is expected that it will be able to improve the design model by continuously using the model in the actual design, compensating for its shortcomings, and improving its usability.

• Journal of Satellite, Information and Communications
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• v.9 no.3
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• pp.121-126
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• 2014

ETRI(Electronics and Telecommunication Research Institute) has joined National GNSS Research Center program of Defense Acquisition Program Administration and Agency for Defense Development in 2010. The research subject is technology for MSAR(Military Search and Rescue) system configuration. In this project, we analyses the ways in order to improve the accuracy, reliability, availability for MSAR system from M&S(Modeling and Simulation). The MSAR System M&S Software can be used for performance analysis of new elements, such as ground elements and satellite elements without any hardware development. In this paper, after introduction of the architecture design and functional scope of the simulator, the performance analysis result for MSAR M&S software is presented.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.79-79
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• 2021

기상학적 측면에서 강수 부족으로 인한 수생태환경(하천), 호소환경(저수지) 및 유역환경(중권역)으로 미치는 환경학적 가뭄의 영향을 평가하기 위한 시도는 매우 중요하다. 만약 동일한 규모의 강수부족 현상이 발생할지라도, 환경적 측면에서의 수질 및 수생태에 미치는 영향이 매우 큰 유역이 있고, 반면 어느 정도의 복원력을 유지할 수 있는 유역이 있을 것이다. 즉, 서로 다른 유역환경에 따라 가뭄으로 인한 환경적 영향은 달라질 가능성이 크며, 이처럼 환경적 가뭄에 취약한 지역을 위해서는 지속적인 환경가뭄 모니터링이 중요하다. 환경적 측면에서 가뭄의 영향을 평가하기 위해서는 다양한 수질 관련 항목을 연계한 환경가뭄 감시가 중요하며, 이와 더불어 가뭄과 관련한 다양한 이해관계자 간의 효율적인 의사결정 도구가 필요하다. 따라서 본 연구에서는 다양한 시나리오 정보를 제공할 수 있는 베이지안 네트워크 모형을 적용하여 환경가뭄 민감도 평가 방안을 제시하고자 한다. 본 모형에서는 수질 문제가 가장 심하게 대두되고 있는 낙동강 유역을 대상으로, 기상학적 가뭄에 의한 수생태 및 환경 관련 변수들(BOD, T-P, TOC)의 복잡한 상호의존성을 파악할 수 있는 베이지안 네트워크 모형을 활용하였다. 또한, 기상학적 가뭄에 의한 상류와 하류 간의 환경적 영향을 연계하여 해석하기 위한 모형을 구축하였다. 그 결과, 기상학적 가뭄으로 인한 환경적 민감도가 크게 나타나는 중권역(예: 임하댐유역)과 이와 반대인 중권역(예: 병성천유역)의 구분이 가능하였다. 또한, 상류에서 발생한 심한 기상학적 가뭄이 하류 지역 내 환경적인 영향을 지속할 가능성이 있음을 확인되었다. 따라서 본 연구에서 제안한 방법은 환경적 가뭄의 취약지역을 우선 선정하고, 나아가 상-하류 간의 환경적 가뭄을 감시하는 데 있어 활용도가 있을 것으로 기대된다.