• Proceedings of the Acoustical Society of Korea Conference
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• spring
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• pp.271-274
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• 2002

본 논문에서는 초기 부호책 설계 방법으로 가장 널리 사용되는 이분 미소분리 방법의 성능 개선과 설계시간을 단축하기 위한 새로운 알고리즘을 제안한다. 성능 개선을 위해 학습벡터의 소속수가 최소인 부호백터를 제거하고, 최대인 부호벡터를 미소분리하여 대체하는 방법을 적용하고, 모든 부호벡터와의 거리오차론 구하여 학습벡터의 소속 여부를 결정하는 기존 방법과는 달리, 전단계와 현재 단계의 소속 부호벡터와의 거리오차를 가지고 소속 여부를 결정함으로써 설계시간을 크게 단축할 수 있다.

• Annual Conference of KIPS
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• 2011.11a
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• pp.1283-1284
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• 2011

요구공학에서 추적성은 최상위 설계요건과 하부 컴포넌트 설계도면과의 논리적인 연관성을 극명하게 나타내는 지표이다. 핵연료주기 시설인 파이로 시스템의 신뢰성을 증진시키기 위해 데이터 분석 및 의사결정 방법을 제안한다. 샘플 데이터를 입력하여 실험한 결과 파이로시스템의 최상위 설계요건부터 컴포넌트 설계도면까지 요구사항을 충족시킴으로써 추적성의 논리근거를 마련하였다.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.400-404
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• 2004

현재 널리 활용되고 있는 프로세스 설계방법론은 생산의 효율성이나 재고 혹은 리드타임 중심으로 설계되어 있기 때문에 설비에 대한 비용은 적절히 반영하기 어렵다. 본 논문에서는 TOC(Theory of Constraints)와 공정기준원가(Process_Based Cost)를 적용하여 설비비용과 생산리드타임, 재고 등을 동시에 고려할 수 있는 프로세스 설계방법론과 원가구조를 제시하였다. 이 논문의 결과로 복잡한 공정에서 CCR을 찾아내는 노력을 대폭 감소시킬 수 있으며 동시에 제품의 제조비용을 감소시킬 수 있을 것으로 기대된다.

• Journal of the Earthquake Engineering Society of Korea
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• v.12 no.2
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• pp.33-44
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• 2008

Most of the civil structure - bridges, offshore structures, plant, etc. - have been designed by the classical approaches which deal with all the design parameters as deterministic variables. However, some more advanced techniques are required to evaluate the inherent randomness and uncertainty of each design variable. In this research, a seismic safety assessment algorithm based on the structural reliability analysis has been formulated and computerized for more reasonable seismic design of turbine-generator foundations. The formulation takes the design parameters of the system and loading properties as random variables. Using the proposed method, various kinds of parametric studies have been performed and probabilistic characteristics of the resulted structural responses have been evaluated. Afterwards, the probabilistic safety of the system has been quantitatively evaluated and finally presented as the reliability indexes and failure probabilities. The proposed procedure is expected to be used as a fundamental tool to improve the existing design techniques of turbine-generator foundations.

• Korean Journal of Construction Engineering and Management
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• v.8 no.3
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• pp.106-115
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• 2007

The size and length of road tunnels have been gradually expanded as industry developed. Consequently, the risk has been increased. The decision making process for ventilation system for road tunnels involves a large amount of information on economic feasibility, construction methods, and safety etc. In situation where systematically structured decision making process is unavailable, almost decisions about ventilation systems are made based on engineers' private knowledge and experiences. Procedure and criteria to choose the best optimized ventilation system among many alternatives are proposed, breaking away from the economic dependency-oriented decision making. This paper presents a Multi-Attribute Utility Theory and AHP based function with which planners can calculate overall utility of each alternative. It is anticipated that the effective use of the proposed methodology for decision making on ventilation systems ould be able to reduce the likelihood of the occurrence of potential safety risks as well as increase the overall ventilation performance.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.4 no.3
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• pp.242-247
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• 2003

This paper deals with an optimal design methodology for an automatic transmission lever using a genetic algorithm. A component of an automatic transmission lever has been designed sequentially in the industry, but the study presents a new design method to consider the design parameters of components simultaneously. A genetic algorithm approach is described to determine a set of design parameters for an automatic transmission lever. We have attempted to model the design problem with the objective of minimizing the angle variation of detent spring subject to constraints such as modulus of elasticity of steel, geometry of shift pipe. and stiffness of spring. The proposed method can give the better design alternative.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.19 no.2
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• pp.146-150
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• 2007

Extreme value distributions for new deep sea wave were analyzed by using spread parameter and correlations between spread parameter and sliding distance of caisson breakwater were shown in numerical example. When spread parameter is larger than as usual, there occurred extra-ordinarily large wave height among 50 annual maximum significant waves generated by extreme value distribution. Spread parameter of new design wave is identified to be comparably larger than some foreign coastal areas and may cause large sliding displacement though deterministic safety factor for sliding is satisfied with enough margin.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.1A
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• pp.45-52
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• 2009

In conventional structural design, deterministic optimization which satisfies codified constraints is performed to ensure safety and maximize economical efficiency. However, uncertainties are inevitable due to the stochastic nature of structural materials and applied loads. Thus, deterministic optimization without considering these uncertainties could lead to unreliable design. Recently, there has been much research in reliability-based design optimization (RBDO) taking into consideration both the reliability and optimization. RBDO involves the evaluation of probabilistic constraint that can be estimated using the RIA (Reliability Index Approach) and the PMA(Performance Measure Approach). It is generally known that PMA is more stable and efficient than RIA. Despite the significant advancement in PMA, RBDO still requires large computation time for large-scale applications. In this paper, A new reliability-based design optimization (RBDO) method is presented to achieve the more stable and efficient algorithm. The idea of the new method is to integrate a response surface method (RSM) with PMA. For the approximation of a limit state equation, the moving least squares (MLS) method is used. Through a mathematical example and ten-bar truss problem, the proposed method shows better convergence and efficiency than other approaches.

• Geotechnical Engineering
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• v.4 no.4
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• pp.39-50
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• 1988

Until now, most probabilistic approaches to the slope stability analysis have been accomplished on the arc failure surface without load. In this study, the relationships between the probability of failure and the safety factor are investigated when the shape of failure is logarithmic spiral on the homogeneous slope with ground water level, the probability distributions of the load and the strength parameter of soil being assumed as normal distribution, log-normal distribution and beta distribution. The results obtained are as follows; 1. For the same safety factor, the design of slope is more reasonable by using the probability of failure than by the safety factor because the probability of failure is increased as the coefficient of variation is increased. 2, The safety factor is more reasonably determined by the coefficient of variation of the strength parameter than by the field condition when the safety factor is applied to design of slope.

• Journal of the Korean Geotechnical Society
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• v.25 no.11
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• pp.87-103
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• 2009

To determine the reliable probabilistic distribution model of geotechnical properties, outlier and randomness test for analysis data, parameter estimation of probabilistic distribution model, and goodness-of-fit test for model parameter and probabilistic distribution model have to be performed in sequence. In this paper, the probabilistic distribution model's geotechnical properties of Songdo area in Incheon are estimated by the above proposed procedure. Also, the coefficient of variation (COV) representing the variability of geotechnical properties is determined for several geotechnical properties. Reliable probabilistic distribution model and COV of geotechnical properties can be used for probability-based design procedure and reasonable choice of design value in deterministic design method.