• 대한안전경영과학회지
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• 제6권3호
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• pp.87-97
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• 2004

The National Health Insurance Act, the Industrial Health Act and the School Health Act require chest radiography at least once a year. In chest radiographic examination, most group examinations use indirect X-ray primarily aiming at diagnosing diseases and enhancing people's health. This study purposed to minimize radiation exposure dose by comparing it between direct and indirect chest X-ray studies. According to the result of comparing and analyzing radiation exposure dose, the average incident dose and penetrating dose were 0.929μGy and 0.179μGy respectively in direct chest X-ray and 6.807μGy and 1.337μGy in indirect chest X-ray In order to minimize radiation exposure dose at direct and indirect chest X-ray, indirect X-ray should be excluded from group examination if possible. Moreover, it is necessary to control the quality of equipment (Q/A & Q/C) systematically and to avoid using unqualified equipment in order to reduce radiation exposure dose.

• Journal of Astronomy and Space Sciences
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• 제32권4호
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• pp.379-386
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• 2015

This work presents fuel-optimal altitude maintenance of Low-Earth-Orbit (LEO) spacecrafts experiencing non-negligible air drag and J2 perturbation. A pseudospectral (direct) method is first applied to roughly estimate an optimal fuel consumption strategy, which is employed as an initial guess to precisely determine itself. Based on the physical specifications of KOrea Multi-Purpose SATellite-2 (KOMPSAT-2), a Korean artificial satellite, numerical simulations show that a satellite ascends with full thrust at the early stage of the maneuver period and then descends with null thrust. While the thrust profile is presumably bang-off, it is difficult to precisely determine the switching time by using a pseudospectral method only. This is expected, since the optimal switching epoch does not coincide with one of the collocation points prescribed by the pseudospectral method, in general. As an attempt to precisely determine the switching time and the associated optimal thrust history, a shooting (indirect) method is then employed with the initial guess being obtained through the pseudospectral method. This hybrid process allows the determination of the optimal fuel consumption for LEO spacecrafts and their thrust profiles efficiently and precisely.

• 한국우주과학회:학술대회논문집(한국우주과학회보)
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• 한국우주과학회 2004년도 한국우주과학회보 제13권1호
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• pp.58-58
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• 2004

인공위성 편대비행에서는 위성간 거리가 수 미터에서 수 킬로미터에 달하기 때문에 궤도 배치 및 재배치시 위성간 충돌의 문제는 매우 중요하다. 따라서 궤도 배치 및 재배치 단계에서 위성간 충돌을 피하고, 연료소모를 최소화시키면서 목적한 최종 배치를 만족시키는 최적경로를 산출하는 방법이 최근들어 연구되고 있다. 최적 경로를 산출하는 궤적 최적화 (Trajectory optimization) 문제를 풀기 위한 방법으로 크게 직접적인 (Direct) 방법과 간접적인 (Indirect) 방법이 있다. (중략)

• Korean Chemical Engineering Research
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• 제46권2호
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• pp.248-257
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• 2008

1920년대 독일에서 최초로 시도되어진 석탄액화(coal liquefaction, coal-to-liquid, CTL)는 액화 방법에 따라 직접석탄액화(direct coal liquefaction, DCL)와 간접석탄액화(indirect coal liquefaction, ICL)로 나누어진다. 석탄액화 기술은 1970년대부터 2000년대까지 다양한 연구개발을 통해 원유를 대체할 수 있는 자원으로 개발되고 최적화 되어왔다. 특히 최근에는 국제유가의 상승 및 원유수급의 불안정으로 인해 안정적이고 매장량이 풍부한 석탄에 대한 관심이 더욱 높아지고 있으며 여러 국가에서 석탄액화 프로젝트가 진행 중에 있다. 본고의 취지는 석탄액화기술의 기술개발 현황 및 동향을 검토하는데 있다. 따라서 직 간접 석탄액화공정 비교와 함께 각국의 석탄액화 사업 현황 및 동향을 소개하였다. 석탄액화 사업은 대규모의 국책사업으로 추진되어야 하며 정부의 지원하에 해외 선진기술습득의 길을 모색하여야 할 것이다.

• International Journal of Computer Science & Network Security
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• 제24권4호
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• pp.11-25
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• 2024

The proliferation of IoT devices has presented an unprecedented challenge in managing device identities securely and efficiently. In this paper, we introduce an innovative Hybrid Blockchain-Based Approach for IoT Identity Management that prioritizes both security and efficiency. Our hybrid solution, strategically combines the advantages of direct and indirect connections, yielding exceptional performance. This approach delivers reduced latency, optimized network utilization, and energy efficiency by leveraging local cluster interactions for routine tasks while resorting to indirect blockchain connections for critical processes. This paper presents a comprehensive solution to the complex challenges associated with IoT identity management. Our Hybrid Blockchain-Based Approach sets a new benchmark for secure and efficient identity management within IoT ecosystems, arising from the synergy between direct and indirect connections. This serves as a foundational framework for future endeavors, including optimization strategies, scalability enhancements, and the integration of advanced encryption methodologies. In conclusion, this paper underscores the importance of tailored strategies in shaping the future of IoT identity management through innovative blockchain integration.

• Nuclear Engineering and Technology
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• 제56권2호
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• pp.644-654
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• 2024

After the Tohoku earthquake and tsunami (Japan, 2011), regulatory efforts to mitigate external hazards have increased both the safety requirements and the total capital cost of nuclear power plants (NPPs). In these circumstances, identifying not only disaster robustness but also cost-effective capacity setting of NPPs has become one of the most important tasks for the nuclear power industry. A few studies have been performed to relocate the seismic capacity of NPPs, yet the effects of multiple hazards have not been accounted for in NPP capacity optimization. The major challenges in extending this problem to the multihazard dimension are (1) the high computational costs for both multihazard risk quantification and system-level optimization and (2) the lack of capital cost databases of NPPs. To resolve these issues, this paper proposes an effective method that identifies the optimal multihazard capacity of NPPs using a multi-objective genetic algorithm and the two-stage direct quantification of fault trees using Monte Carlo simulation method, called the two-stage DQFM. Also, a capacity-based indirect capital cost measure is proposed. Such a proposed method enables NPP to achieve safety and cost-effectiveness against multi-hazard simultaneously within the computationally efficient platform. The proposed multihazard capacity optimization framework is demonstrated and tested with an earthquake-tsunami example.

• Journal of Construction Engineering and Project Management
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• 제4권4호
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• pp.33-40
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• 2014

Maximizing the profitability and minimizing the duration of construction projects in extreme weather regions is a challenging objective that is essential for project success. An optimization model is presented herein for the time-profit trade-off analysis of construction projects under extreme weather conditions. The model generates optimal/near optimal schedules that maximize profit and minimize the duration of construction projects in extreme weather regions. The computations in the model are organized into: (1) a scheduling module that develops practical schedules for construction projects, (2) a profit module that computes project costs (direct, indirect, and total) and project profit, and (3) a multi-objective module that determines optimal/near optimal trade-offs between project duration and profit. One example is used to show the impact of extreme weather on construction time and profit. Another example is used to show the model's ability to generate optimal trade-offs between the time and profit of construction projects under extreme weather conditions.

• 지능정보연구
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• 제23권2호
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• pp.19-38
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• 2017

본 연구는 사용자 평점 이외에 사용자 간 직접 간접적 신뢰 및 불신 관계 네트워크의 분석 결과를 추가로 반영한 새로운 하이브리드 협업필터링(Collaborative filtering, CF) 추천방법을 제안한다. 구체적으로 사용자 간의 유사도를 계산할 때 사용자 평가점수의 유사성만을 고려하는 기존의 CF와 다르게, 사용자 신뢰 및 불신 관계 데이터의 사회연결망분석 결과를 추가적으로 고려하여 보다 정교하게 사용자 간의 유사도를 산출하였다. 이 때, 사용자 간의 유사도를 재조정하는 접근법으로 특정 이웃 사용자가 신뢰 및 불신 관계 네트워크에서 높은 신뢰(또는 불신)를 받을 때, 추천 대상이 되는 사용자와 해당 이웃 간의 유사도를 확대(강화) 또는 축소(약화)하는 방안을 제안하고, 더 나아가 최적의 유사도 확대 또는 축소의 정도를 결정하기 위해 유전자 알고리즘(genetic algorithm, GA)을 적용하였다. 본 연구에서는 제안 알고리즘의 성능을 검증하기 위해, 특정 상품에 대한 사용자의 평가점수와 신뢰 및 불신 관계를 나타낸 실제 데이터에 추천 알고리즘을 적용하였으며 그 결과, 기존의 CF와 비교했을 때 통계적으로 유의한 수준의 예측 정확도 개선이 이루어짐을 확인할 수 있었다. 또한 신뢰 관계 정보보다는 불신 관계 정보를 반영했을 때 예측 정확도가 더 향상되는 것으로 나타났는데, 이는 사회적인 관계를 추적하고 관리하는 측면에서 사용자 간의 불신 관계에 대해 좀 더 주목해야 할 필요가 있음을 시사한다.

• 한국유체기계학회 논문집
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• 제2권1호
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• pp.29-34
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• 1999

To develop the efficient numerical optimization method for the design of an airfoil, an evaluation of various methods coupled with two-dimensional Naviev-Stokes analysis is presented. Simplex method and Hook-Jeeves method we used as direct search methods, and steepest descent method, conjugate gradient method and DFP method are used as indirect search methods and are tested to determine the search direction. To determine the moving distance, the golden section method and cubic interpolation method are tested. The finite volume method is used to discretize two-dimensional Navier-Stokes equations, and SIMPLEC algorithm is used for a velocity-pressure correction method. For the optimal design of two-dimensional airfoil, maximum thickness, maximum ordinate of camber line and chordwise position of maximum ordinate are chosen as design variables, and the ratio of drag coefficient to lift coefficient is selected as an objective function. From the results, it is found that conjugate gradient method and cubic interpolation method are the most efficient for the determination of search direction and the moving distance, respectively.

• 한국BIM학회 논문집
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• 제9권2호
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• pp.1-10
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• 2019

In this research, schedule optimization is defined as balancing the number of workers while keeping the demand and needs of the project resources, creating the perfect schedule for each activity. Therefore, when one optimizes a schedule, multiple potentials of schedule changes are assessed to get an instant view of changes that avoid any over and under staffing while maximizing productivity levels for the available labor cost. Optimizing the number of workers in the scheduling process is not a simple task since it usually involves many different factors to be considered such as the development of quantity take-offs, cost estimating, scheduling, direct/indirect costs, and borrowing costs in cash flow while each factor affecting the others simultaneously. That is why the optimization process usually requires complex computational simulations/modeling. This research attempts to find an optimal selection of daily maximum workers in a project while considering the impacts of other factors at the same time through OPEN BIM based multiple computer simulations in resource leveling. This paper integrates several different processes such as quantity take-offs, cost estimating, and scheduling processes through computer aided simulations and prediction in generating/comparing different outcomes of each process. To achieve interoperability among different simulation processes, this research utilized data exchanges supported by building SMART-IFC effort in automating the data extraction and retrieval. Numerous computer simulations were run, which included necessary aspects of construction scheduling, to produce sufficient alternatives for a given project.