• Proceedings of the Korean Nuclear Society Conference
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• 1999.05a
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• pp.92-92
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• 1999

• Journal of the KSME
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• v.48 no.6
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• pp.36-40
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• 2008

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.48 no.8
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• pp.621-629
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• 2020

LRU layout is a complex problem that requires consideration of various criteria such as airworthiness, performance, maintainability and environmental requirements. As aircraft functions become more complex, the necessary equipment is increasing, and unmanned aerial vehicles are equipped with more equipment as a substitute for pilots. Due to the complexity of the problem, the increase in the number of equipment, and the limited development period, the placement of equipment is largely dependent on the engineer's insight and experience. For optimization, quantitative criteria are required for evaluation, but criteria such as safety, performance, and maintainability are difficult to quantitatively compare or have limitations. In this study, we consider the installation and maintenance of the equipment, simplify the deployment model to the traveling salesman problem, Optimization was performed using a genetic algorithm to minimize the weight of the connecting cable between the equipment. When the optimization results were compared with the global calculations, the same results were obtained with less time required, and the improvement was compared with the heuristic.

• Journal of Korean Society of Water and Wastewater
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• v.18 no.2
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• pp.145-154
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• 2004

A long-term sewer rehabilitation project consuming an enormous budget needs to be conducted systematically using an optimization skill. The optimal budgeting and ordering of priority for sewer rehabilitation projects are very important with respect to the effectiveness of investment. In this study, the sewer rehabilitation optimization model using fast-messy genetic algorithm is developed to suggest a schedule for optimal sewer rehabilitation in a subcatchment area by modifying the existing GOOSER$^{(R)}$ model having been developed using simple genetic algorithm. The sewer rehabilitation optimization model using fast-messy genetic algorithm can improve the speed converging to the optimal solution relative to GOOSER$^{(R)}$, suggesting that it is more advantageous to the sewer rehabilitation in a larger-scale subcatchment area than GOOSER.

• Proceedings of the Korean Nuclear Society Conference
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• 2002.05a
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• pp.180.1-180
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• 2002

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.2
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• pp.632-637
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• 2014

In this paper the concept of the performance-based logistics (PBL) support for weapon systems is discussed and an enhancement is studied such that prior to the Operational phase, the development of the PBL can begin from the Engineering & Manufacturing Development (EMD) phase together with multiple performance indices considered. The genetic algorithm should be considered for the complex system to solve the maintenance policy optimization. In particular, the requirement of repair level analysis model is developed based on reflecting the PBL concept. To decide the maintenance policy prior to Operational phase in accordance with customer requirements, the PIDO(Process Integration and Design Optimization) technique useful in choosing the performance indices and changing the constraints was used. The genetic algorithm of PIDO tool, like PIAnO and ModelCenter, was verified that it could be applied to optimize the maintenance policy.

• Nuclear Engineering and Technology
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• v.7 no.3
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• pp.243-256
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• 1975

1. 기초실험 1) 안전성의 검토 대형고속로의 안전성확보를 위한 Doppler효과, Na void 효과 등의 검토 2) 노심의 제특성 측정 청계질양, 비균질효과, 중성자내분포, 중성자 energy 분포, 제물광의 반응도채치, 증식비, Doppler계수, Na의 void 계수 3) 중성자 energy 측정법의 확립 대형노심에 었어서의 중성자 spectrum을 정도높게 정하는 것은 고속노물리자험의 전제조건이 되는 동요한 역천이다, 현재로서는 측정기, 긴정법자체가 업분치 못하기 때문에 많은 연구가 필요하다. 4) 고원여심의 군정수 정비 고동로심의 군정수가 정비 확립 안된것이 계산신업가 낮은 원인이 되고 있기 때문에 제채험의 결과와 대조하여 신뢰성있는 군정수를 정비하여 고속노설계에 양지를 시공한다. 5) 동특성 및 Pulse 체험원자로 내전운전과 핵연료의 효율적인 연소관리를 위한 동특실험과 Pulse 실험을 행하여 동특성해석을 한다. 2. 핵적 Mock-up 실험 관발 건조하고져하는 책험노, 원형노, 책용노의 대심을 모남하여 제물리적인 Parameter를 측정, 최적화를 수행한다.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2002.11a
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• pp.45-58
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• 2002

폐기물과 오염물질 투기로 인해 발생된 오염지의 복원은 1980년대 초반 미국이 본격적으로 시도하여 현장조사, 위해도 평가, 타당성 검토의 3단계를 거쳐 복원대책을 수립하는 정형이 이루어졌다. 이 정형에서는 먼저 현장조사로 오염상태에 대한 자료를 수집하고 위해도 평가로 오염도가 인체와 환경에 미치는 위해도를 정량화하며 타당성 검토에서 위해도를 제거하기 위한 각종대안을 검토하여 최종안을 선정한다. 이 과정 자체는 합리적이었으나 여러 가지 시행착오를 거치며 과잉대책이 남발되고 사업효과도 미흡하여 점차 예산낭비의 대표적인 사례로 비판이 제기되었다. 시행착오의 가장 큰 기술적 원인은 위해도 평가와 별개로 타당성 검토를 수행하며 비현실적인 완벽복원을 추구한 탓이며 이를 극복하려는 최적화 기법이 90년대 초반에 소개되었다. 이 최적화기법은 타당성 검토단계에서 각 대안의 잔류 위해도를 산정하고 해당대안의 비용과 비교하여 위해도를 허용수준으로 줄이는 최소비용 대안을 발견하는 방법이다. 이 최적화기법을 실제 프로젝트에 적용한 결과 복원대책 수행에 기대 이상의 비용절감을 이루고 정부의 수용도도 높았다. 특히 정비대책에 현장조건의 특성을 활용하는 창의적 대안을 도입하면 효과를 극대화 할 수 있는 바 두 가지 사례를 소개하였다. 앞으로 상당한 투자가 예상되는 폐광오염 문제에도 이 기법을 적용하면 비용과 효과를 최적화할 수 있을 것으로 기대되어 그 모델을 제시하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.10
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• pp.82-88
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• 2018

The decoy defensive weapon system is a one-shot system. Reliability is maintained through periodic inspection and high reliability is required to confirm whether or not the functioning is normal after launch. The maintenance cycle of a decoy was set up without target reliability and reliability prediction during the development period. However, the number of operations in the military has been increasing, necessitating the optimization of the maintenance cycle. Reliability is analyzed using the maintenance data of a decoy operated for several decades and the optimal maintenance cycle is suggested. In chapter 2, data collection and classification methods are presented and analysis methodology is briefly introduced. In chapter 3, the data distribution analysis and fitness verification confirmed that applying the Weibull distribution is the most suitable for the maintenance data of the decoy. In chapter 4, we present the analysis result of percentile, survival probability and MTBF and the optimal maintenance cycle was derived from the reliability analysis. Finally, we suggest the application methods for this paper in the future.

• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.285-289
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• 2021

This paper identifies the development trend of aviation software certification regulation and introduces the certification regulation optimized for aviation for the application of augmented reality and virtual reality software to aviation maintenance industry. This regulation is expected to provide stability and reliability of augmented reality and virtual reality software applied to aviation maintenance industry by applying strict certification regulations to augmented reality and virtual reality software applied to aviation maintenance industry.We would like to present certification regulations that take into account problems that are difficult to define previously used DO-178B, and DO-178C.