• Title/Summary/Keyword: trade-off study

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Satisficing Trade-off 방법을 이용한 유한요소 모델 개선 (Finite Element Model Updating Using Satisficing Trade-off Method)

  • 김경호;박윤식
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2002년도 추계학술대회논문집
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    • pp.295-300
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    • 2002
  • In conventional model updating using single-objective optimization techniques, incompatible physical data are compared with each other using weighting factors. There are no general rules for selecting the weighting factors since they are not directly related with the dynamic behavior of an updated model. So one of the most difficult tasks, in model updating study, is 'balancing among the correlations' i.e. 'trade-off'. In this work, a multiobjecitive optimization technique called 'satisficing trade-off method' is introduced to extremize several correlations simultaneously. The absurd need for the weighting factors can be avoided using this technique. And the updated model with the most appropriate correlations is obtained easily in interactive way. Especially automatic trade-off is employed to increase the rate of convergence to the desired model. Its effectiveness is verified by application to a real engineering problem, HDD cover model updating.

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Satisficing Trade-Off 방법을 이용한 유한요소 모델 개선 (Finite Element Model Updating Using Satisficing Trade-Off Method)

  • Kim, Gyeong-Ho;Park, Youn-sik
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2002년도 추계학술대회논문초록집
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    • pp.334.2-334
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    • 2002
  • In conventional model updating using single-objective optimization techniques, imcompatible physical data are compared with each other using weighting factors. There are no general rules fur selecting the weighting factors since they are not directly related with the dynamic behavior of an updated model. So one of the most difficult tasks, in mr)del updating study, is 'balancing among the correlations', i.e. 'trade-off'. (omitted)

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Fast IHS 변환을 이용한 trade-off 영상 융합기법 (A Trade-off Image Fusion Technique Using Fast Intensity-Hue-Saturation Transform)

  • 김용현;김윤수
    • 항공우주기술
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    • 제8권2호
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    • pp.26-32
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    • 2009
  • 위성영상의 융합에 있어, 가장 중요한 점은 전정영상의 공간적 세밀함과 다중분광영상의 분광정보 모두를 보존하는 것이다. 다양한 영상융합 기법 중에서, IHS 변환을 이용한 융합기법은 폭넓게 사용되고 있으며, 계산과정이 매우 단순하다는 장점을 갖고 있다. 본 연구에서는, fast IHS 변환과 trade-off 파라미터 $\alpha^i$를 이용한 융합기법을 제안한다. 제안한 융합 기법은 분광 ERGAS와 공간 ERGAS의 평가를 통하여, 융합영상에서 분광정보와 공간적 세밀함 사이의 trade-off 최적화를 가능하게 한다. IKONOS 영상의 실험결과, 제안한 기법은 기존의 fast IHS 변환을 이용한 융합기법에 비해 공간적 세밀함과 분광정보의 보존측면에서 더 효과적임을 확인할 수 있었다.

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시스템 사고를 통한 생태계서비스의 trade-off 관계 고찰 (An Analysis of Ecosystem Service's trade-off through Systems Thinking)

  • 함은경;김민;전진형
    • 한국시스템다이내믹스연구
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    • 제16권2호
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    • pp.75-100
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    • 2015
  • The purpose of this study is to analyze causation of Ecosystem service's trade-off(ES trade-off) and to establish baseline data for wise spatial planning and management. In order to understand why and how ES trade-off occurs, systems thinking and causal loops were employed. The causal loop of ecosystem service creation cycle includes profits quantification process, decision making process, spatial planning and management process, and ecosystem services creation process. The profits quantification process has a limitation that all ecosystem service categories were not included in profits quantification, because quantification method for cultural services is insufficient. These problems led to unequal discussion opportunity in decision making process. ES trade-off occurs through transition of ecosystem function in spatial scale and temporal scale. In spatial scale, land-use variation and resource-use variation contribute to change an ecosystem function for different ES category by spatial planning and management. In temporal scale, a change of an ecosystem function for different ES category is influenced by ecological succession, seasonal change and land cover variation, which are parameter from environmental features. This study presented that spatial planning and management should ecosystem service assessment in order to enhance balanced ecosystem services.

의료기관 자본구조에 대한 상충관계이론과 자본조달 순위이론 실증분석 (An Empirical Analysis on Trade-off Theory and Pecking Order Theory for Medical Institutions's Capital Structure)

  • 김재명;함유상
    • 보건행정학회지
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    • 제16권4호
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    • pp.24-47
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    • 2006
  • Based on the findings of a study focused on medical institutions(Fama & French, 2002), this study determined possible causality between determinants of capital structure and liability level, while estimating targeted debt ratio. Moreover, it also examined hypotheses about the adjustment of targeted debt ratio and the of fundraising patterns, so that it verified the relative priority of trade-off theory and pecking order theory. First, profitability had positive(+) relationships with liability level, while investment opportunities had negative(-) relationships with liability level. This finding supported pecking order theory, and non-liability tax shield effects had negative(-) relationships with liability level as estimated in both trade-off theory and pecking order theory. Next, this study verified trade-off and pecking order theory at once by means of regression analysis about the variation of liability level in associations with disparity from targeted debt ratio and short-term fluctuation of profit and investment. As a result, it was noted that liability level became mean-reversed to targeted liability ratio but slowly, SO it was difficult to assert that such mean reverse may support trade-off theory. However, the finding that most of short-term fluctuations of profit and investment are absorbed into liabilities supported pecking order theory. On the other hand, it was found that the larger scale of medical institutions is more supportive of pecking order theory in the associations between liability level and profitability and the fundraising patterns than trade-off theory.

장갑차량의 개념설계를 위한 대안분석에서의 응답표면분석법 적용 (Application of Response Analysis to Trade-off Methods for the Conceptual Design of Armored Vehicle)

  • 신용석;이희각;김진우
    • 한국군사과학기술학회지
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    • 제2권2호
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    • pp.24-29
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    • 1999
  • The purpose of this study is to develop a method of applying response surface analysis to trade-off techniques for the conceptual design of armored vehicle. The problem areas of concern are the use of this method in the selection of optimum design points when user requirements are in conflict. The application of this method to trade-offs of performance parameters in terms of weight are presented.

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Tilt-rotor 항공기 동력계통 중량 추정에 대한 상쇄연구 (Trade-off Study of Propulsion Systems Weight Estimation for Tilt-rotor Personal Air Vehicle)

  • 이정훈
    • 항공우주시스템공학회지
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    • 제8권4호
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    • pp.1-6
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    • 2014
  • This paper presents the trade-off study of conducting a survey of the weights for various kind of propulsion systems installed in the Smart Unmanned Aerial Vehicle TR-100, a tilt-rotor vehicle, which is developed by Korea Aerospace Research Institute, in order to predict the appropriate propulsion system for present and future Personal Air Vehicle, which has single mode and vertical take-off & landing. In order to perform the trade-off study, we set the requirements that the vehicle hovers for 1 hour with 1,000 kg maximum take off weights. In this study, the power systems are classified engine, which uses the fossil fuel - turboshaft engine, piston engine, diesel engine and rotary engine, and electric motor with fuelcell or Li-Ion battery. The results of trade-off study shows the power systems using fossil fuel are superior to using fuelcell or Li-Ion battery for weight of propulsion system. Also turboshaft engine is the best power system for the aspects of system weight, and the nexts are rotary engine, piston engine, diesel engine, electric motor with Li-Ion battery, and electric motor with fuelcell.

휘발유 가격변화와 가계소비의 상충작용 (Influence of Price Increase in Gasoline on Household Expenditure Trade-off)

  • 김숙향;황덕순
    • 대한가정학회지
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    • 제40권8호
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    • pp.153-166
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    • 2002
  • This study aims to reveal the influence of price increase in gasoline on household expenditure trade-off. The subjects were 651 households, acquired the first quarter of 1996 and 1997. This study shows the change of the auto fuel budget share in the same household and they were analyzed with the paired t-test, independent t-test. The results are as follows; 1) the price increase of auto gasoline resulted in the increase of its budget share, regardless of a household's true increase or decrease of income. 2) according to price increase in gasoline, the auto fuel budget share has been changed, therefore I divided these changes into three group on the base of it's degree of change. 3) In the group that had a decrease in auto fuel budget share compared to the degree of change, there was a trade-off between the increase in food and light & light water and the decrease of education and auto fuel budget share. Auto fuel in this group was used as discretionary good. 4) In the group that had a similar change in auto fuel budget share compared to the degree of change, there were no trade-off between expenditure items except auto fuel budget share and miscellaneous decrease. This group is the highest income group among the three groups. 5) In the group that had and increase of change in auto fuel budget share compared to the degree of change, there was a trade-off between the increase of eating-out and auto fuel, and the decrease of education and miscellaneous budget share. Auto fuel in this group was used as a discretionary good. 6) trade-off expenditure budget share showed a mixed effect between the influence of increase in gasoline price and influence of increase in true income.

상충관계이론과 자본조달순위이론에 기초한 병원 자본조달행태 분석 (Hospital's Financing Behaviors Based on Comparative Analysis of Trade-off Theory and Pecking Order Theory)

  • 김재명;함유상;안영창
    • 한국병원경영학회지
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    • 제11권2호
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    • pp.61-86
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    • 2006
  • Based on a previous literature about hospital capital structure(Shyam- Sunder & Myers, 1999), this study attempted comparison and analysis on whether the forecast of trade-off and pecking order theory could be validated in hospital's capital structure. First, this study analyzed whether hospitals follow the priority for each capital source as suggested by pecking order theory under lack of capital running in hospital. Next, it analyzed whether debt level is regressed on the average to target debt level so as to verify the validity of trade-off theory. Finally, it also analyzed possible associations between debt level and determinants of capital structure as adopted in static trade-off theory, so as to verify relative advantages of these two theories about hospital capital structure. The analysis over whole period showed that both trade-off theory and pecking order theory isn't supported particularly. This mean that each hospital's financing behaviors is different and that has not dominant financing behaviors. In the midst of separation of dispensary from medical practice, medical institutions in Korea first finances funds required using retained earnings and then use liabilities. however pecking order theory is supported, the preference of long-term liabilities and short-term liabilities is not clear. In addition, considering that debt level is in no average regression to target debt ratio, it is found that hospital capital structure following trade-off theory turns into that subject to pecking order theory via the separation of dispensary from medical practice.

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Particle Swarm Optimization을 이용한 공기-비용 절충관계 최적화 모델에 관한 연구 (A Study on Optimization Model of Time-Cost Trade-off Analysisusing Particle Swarm Optimization)

  • 박우열;안성훈
    • 한국건축시공학회지
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    • 제8권6호
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    • pp.91-98
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    • 2008
  • It is time-consuming and difficulty to solve the time-cost trade-off problems, as there are trade-offs between time and cost to complete the activities in construction projects and this problems do not have unique solutions. Typically, heuristic methods, mathematical models and GA models has been used to solve this problems. As heuristic methods and mathematical models are have weakness in solving the time-cost trade-off problems, GA based model has been studied widely in recent. This paper suggests the time-cost trade-off optimization algorithm using particle swarm optimization. The traditional particle swarm optimization model is modified to generate optimal tradeoffs among construction time and cost efficiently. An application example is analyzed to illustrate the use of the suggested algorithm and demonstrate its capabilities in generating optimal tradeoffs among construction time and cost. Future applications of the model are suggested in the conclusion.