• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.213-213
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• 2017

저수지 유입량은 효율적 저수지 운영을 위해 중요한 요소로, 이는 하류 하천 등과 복합적으로 연계되기에 통합적 수자원 관리를 위해서 정확한 추정이 중요하다. 국내의 일부 저수지에서는 상류에서 유입되는 유량을 측정하고 있으나, 모든 저수지에 대해 측정하기에는 현실적 한계가 있다. 한편, 한국농어촌공사에서는 유효저수량 10만톤 이상 저수지에 대해 수위 계측기를 설치하여 수위자료를 관측하고 있으며, 이는 수위-내용적 곡선을 통해 저수량으로 변환이 가능하다. 저수량 자료가 확보되면 물수지식 기반으로 간접적으로 유입량의 추정이 가능하나, 수위가 상승하는 구간에 대해서만 적용이 가능하기에 연속적인 자료의 확보에 한계가 있다. 이 경우 불연속 유량자료를 대상으로 수문모형의 매개변수를 최적화하여 장기간 연속자료로 변환하는 것이 한 방안이 될 수 있다. 본 연구에서는 저수지 수위 기반으로 추정된 간헐적 유입량 자료를 기반으로 수문모형의 매개 변수를 최적화하여 장기유량으로 변환하고자 한다. 수문 모형과 매개변수 최적화 기법은 각각 Tank 모형과 SCE (Shuffled Complex Evolution) 기법을 이용하였다. 매개변수 최적화를 위한 목적함수는 고유량 저유량 총량 분산 관련 지표에 가중치를 부여한 다중 목적함수로 설정하였으며, 이를 통해 도출된 다양한 매개변수 후보군 중 고유량 저유량 총량 유황곡선의 유사정도가 전반적으로 일치하는 매개변수 군을 선택하였다. 본 연구 결과는 미계측 저수지 유입량을 추정할 수 있음으로써 저수지의 효율적인 물관리와 용수관리 의사결정에 활용할 수 있을 것으로 사료된다.

• Journal of the Korean Geotechnical Society
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• v.25 no.9
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• pp.93-100
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• 2009

A core procedure of the direct search method used in this study is optimizing a difference between objective function and real displacement and correcting unknown variables. Because the research procedure comes from back-analyzing of the unknown variable of each layer, back-analyzing results need an additional optimization to minimize interferential effects of unknown variables. Therefore, the direct search method Is used to obtain optimized solutions without a partial differentiation of an objective function. The object of this research is developing the back analysis technique for multi-unknown variables by modeling the soil including underground structure Into upper and lower layer. In order to minimize interferent errors, repeated back analysis is performed and applicability on the real tunnel is examined. Consequently, the multi-layer analysis model is more precise in describing the real behavior of underground structure. It shows the validity of back analysis far multi-layer model which is the understructure placed on multi-layer boundaries.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.2
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• pp.617-626
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• 2014

Lately, losses and damage from natural disasters have been increasing. Researchers across various fields in Korea are trying to come up with a response plan, but research for evacuation plans is still far from satisfactory. Hence this paper proposes a model that could find an optimized evacuation route for when disasters occur over wide areas. Development of the model used methods including the Dijkstra shortest path algorithm, feasible path method, genetic algorithm, and pareto efficiency. Computations used parallel computing (SPMD) for high performance. In addition, the developed model is applied to a virtual network to check the validity. Finally the adaptability of the model is verified on a real network by computating for Gumi 1stNational Industrial Complex. Computation results proved that this model is valid and applicable by comparison of the fitness values for before optimization and after optimization. This research can contribute to routing for responder vehicles as well as planning for evacuation by objective when disasters occur.

• Proceedings of the KIEE Conference
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• 2007.10c
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• pp.39-40
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• 2007

본 논문은 Slotless BLDCM의 발열특성에 고려하여 열 발생을 최소화 하고자 다중 반응표면법을 적용하여 모터의 형상 및 권선 사양의 최적 선정에 관한 연구이다. 본 연구에서는 전류밀도의 최소화를 목적함수로 하여 형상 및 권선 사양의 최적화를 실시하였다. 변수에 대한 영향도의 분석은 전자계 해석을 통한 결과값을 통하여 실시하였으며, 열적 특성을 파악하기 위해서 전자계-열계의 해석을 통해서 최적값의 열적 안정성을 파악하였다.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.35 no.7
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• pp.729-736
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• 2011

The technique for order preference by similarity to ideal solution (TOPSIS) is regarded as a classical method of multiple attribute decision making (MADM), often used to solve various decision-making or selection problems. It is based on the concept that the chosen alternative should have the shortest distance from the positive ideal solution and the farthest distance from the negative ideal solution. The TOPSIS can be applied to a design process for carrying out multi-objective shape optimization wherein the best and worst alternatives are to be decided. In this paper, multi-objective shape optimization using the TOPSIS and Rational Bezier curve was applied to the funnel of a cathode-ray tube (CRT). In order to minimize the weight and first principal stress, a new multi-objective shape optimization methodology is proposed, wherein the relative-closeness coefficients of the TOPSIS are defined as the performance indices of a multi-objective function and evaluated by response surface models. This methodology enables the designer to decide on the best solution from a number of design specification groups by examining the various conflicts between the weight and the first principal stress.

• Journal of Korea Water Resources Association
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• v.41 no.1
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• pp.1-15
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• 2008

The purpose of this study is to propose a procedure that will be able to find the most efficient sets of weight coefficients for the Geum-River basin in Korea. The result obtained from multi-objective optimization model is inherently sensitive to the weight coefficient on each objective. In multi-objective reservoir operation problems, the coefficient setting may be more complicated because of the natural variation of inflow. Therefore, for multi-objective reservoir operation problems, it may be important for modelers to provide reservoir operators with appropriate sets of weight coefficients considering the inflow variation. This study presents a procedure to find an appropriate set of weight coefficients under the situation that has inflow variation. The proposed procedure uses GA-CoMOM to provide a set of weight coefficient sets. A DEA-window analysis and a cross efficiency analysis are then performed in order to evaluate and rank the sets of weight coefficients for various inflow scenarios. This proposed procedure might be able to find the most efficient sets of weight coefficients for the Geum-River basin in Korea.

• Proceedings of the KIEE Conference
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• 2004.04a
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• pp.46-48
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• 2004

본 논문에서는 유한 요소법과 등가회로법을 이용하여 윤곽 진동형 압전 변압기의 특성을 해석하였으며 이를 통해 얻어진 결과를 기반으로 매칭 임피던스와 전기 및 기계적 결합 계수를 계산하였다. 전력 소자로서 사용되는 압전 변압기는 부하 등 특정 목적에 부합하는 정확한 설계가 필요하기 때문에 다중 목적 함수를 갖는 진화 전략을 이용하여 형상 최적화를 수행하였다.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.48 no.4
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• pp.54-62
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• 2011

Emotional reaction should be different from the purpose of the robot system. The method for emotional reaction is also different from the specification of the robot system. Therefore, emotional behavior decision model, which is applied to social robots regardless of specifications and purposes, is necessary. This paper introduces a universal emotional behavior decision model designed for applying to various social robots that have different specifications and purposes. Multiple emotions, a set of probability value of every emotion, are calculated independently and expressed according to the purpose of the robot system. Then, behavior, for emotional reaction according to the calculated multiple emotions, is decided regarding the specification of the robot system. The decided behavior is a combination of unit behaviors that indicates the smallest expressible behaviors in each expression parts. It is possible to express various undefined behaviors by generating unit behavior combinations according to multiple emotions. The universal emotional behavior decision model is applied to three kinds of social robot systems that have different specifications and purposes.

• Korean Journal of Construction Engineering and Management
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• v.22 no.1
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• pp.36-46
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• 2021

With an increasing trend toward high-rise modular construction, the simultaneous use of tower cranes at a modular construction site has recently been observed. Tower crane layout planning (TCLP) has a significant effect on cost, duration, safety and productivity of a project. In a modular construction project, particularly, poor decision about the layout of tower cranes is likely to have negative effects like additional employment of cranes and redesign, which will lead to additional costs and possible delays. It is, therefore, crucial to conduct thorough inspection of field conditions, lifting materials, tower crane capacity to make decisions on the layout of tower cranes. However, several challenges exist in planning for a multi-crane construction site in terms of safety and collaboration, which makes planning with experience and intuition complicated. This paper suggests a multi-objective optimization model for selection of the number of tower cranes, their models and locations, which minimizes cost and conflict. The proposed model contributes to the body of knowledge by showing the feasibility of using multi-objective optimization for TCLP decision-making process with consideration of trade-offs between cost and conflict.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.24 no.5
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• pp.44-54
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• 2010

Optimal efficiency control of synchronous reluctance motor(SynRM) is very important in the sense of energy saving and conservation of natural environment because the efficiency of the SynRM is generally lower than that of other types of AC motors. This paper is proposed a novel efficiency optimization control of SynRM considering iron loss using multi adaptive fuzzy learning controller(AFLC). The optimal current ratio between torque current and exciting current is analytically derived to drive SynRM at maximum efficiency. This paper is proposed an efficiency optimization control for the SynRM which minimizes the copper and iron losses. There exists a variety of combinations of d and q-axis current which provide a specific motor torque. The objective of the efficiency optimization control is to seek a combination of d and q-axis current components, which provides minimum losses at a certain operating point in steady state. The control performance of the proposed controller is evaluated by analysis for various operating conditions. Analysis results are presented to show the validity of the proposed algorithm.