• Title/Summary/Keyword: Under-constrained

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Constraint Satisfaction Algorithm in Constraint Network using Simulated Annealing Method (Simulated Annealing을 이용한 제약 네트워크에서의 제약 충족방식에 관한 연구)

  • 차주헌;이인호;김재정
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1997.04a
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    • pp.589-594
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    • 1997
  • We have already presented the constraint satisfaction algorithm which could solve the losed loop problem in constraint network by using local constraint propagation, variable elimination and constraint modularization. With this algorithm, we have implemented a knowledge-based system (intelligent CAD) for supporting machine design interactively. In this paper, we present newer constraint satisfaction algorithm which can solve inequalities or under-constrained problems in constraint network, interactively and efficiently. This algorithm is a hybrid type of using both declarative description (constraint represention) and optimization algorithm (Simulated Annealing), simultaneously. The under-constrained problems are represented by constraint networks and satisfied completely with this algorithm. The usefulness of our algorithm will be illustrated by the application to a gear design.

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Constraint satisfaction algorithm in constraint network using simulated annealing method (Simulated Annealing을 이용한 제약 네트워크에서의 제약 충족 방식에 관한 연구)

  • Cha, Joo-Heon;Lee, In-Ho;Kim, Jay J.
    • Journal of the Korean Society for Precision Engineering
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    • v.14 no.9
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    • pp.116-123
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    • 1997
  • We have already presented the constraint satisfaction algorithm which could solve the closed loop porblem in constraint network by using local constraint propagation, variable elimination and constraint modularization. With this algorithm, we have implemented a knowledge-based system (intelligent CAD) for supporting machine design interactively. In this paper, we present newer constraint satisfaction algorithm which can solve inequalities or under-constrained problems in constraint network, interactively and effi- ciently. This algorithm is a hybrid type of using both declarative description (constraint representation) and optimization algorithm (Simulated Annealing), simultaneously. The under-constrained problems are represented by constraint networks and satisfied completely with this algorithm. The usefulness of our algorithm will be illustrated by the application to a gear design.

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Stress Analysis of Rectangular Bar under Torsion (비틀림을 받는 사각주의 응력해석)

  • Kim, Dong-Hyun;Ji, Joong-Jo;Yoon, Kab-Young
    • Journal of the Korean Society for Precision Engineering
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    • v.3 no.4
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    • pp.53-63
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    • 1986
  • In this study, the stress distribution of rectangular bar under torsion, when warping of both ends is free or constrained, is investigated. Method of separation of variable and Fourier Series are used for the theoretical analysis, and 3dimensional photoelastic stress-freezing method for experimental analysis. The main results are as follows; 1) In the case of warping-constrained rectangular bar, the normal stresses are negligible because they are less then 0.5% of the shear stresses. The maximum normal stress is placed on the point of y=0.61 b when b/a=1 and it gradually moves to the corner y=b when the value of b/a is increased. 2) According to increase of the value of b/a, on the crossection, the maximum shear stress is placed on the middle point of the long side (x=${\pm}a$, y=0) when warping of both ends is free but the middle of the short side (x=0, y=${\pm} b$) when warping is constrained. The stress distribution is straight line when warping is constrained, namely, the stress distribution is proportional to the distance from the axis of centroid, but parabolic when warping is free. 3) The values of the combined stress of warping-constrained bar, if the influence of the loaded point is neglected, are generally smaller than those of warping-free.

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Residual stress formation in injection-molded samples under constrained quenching (가압 급냉하에서의 사출 성형품내의 잔류 응력 형성 해석)

  • Yoon, Kyunghwan
    • Journal of the Korean Society for Precision Engineering
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    • v.14 no.11
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    • pp.58-68
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    • 1997
  • The residual stresses in injection-molded plastic parts can be divided into two, i.e., the flow-induced residual stress produced in flowing stage and the thermally-induced residual stress produced in cooling stage. Especially, the main source for the defect in the final parts, such as warpage, is known to be the thermally-induced stresses. For the freely quenched samples the structures of residual stresses and bire-fringence have been investigated by many researchers extensively. However, the boundary condition for free quenching was found to be improper to study actual injection molding process. In the present study a datailed structure of the residual stresses and birefringence produced under constrained quenching has been investigated experimentally. In constrained quenched samples a similar pattern but much less stress values than that for the freely quenched samples has been found in the case of the thickness of 1.0 mm. Howvere, in the case of the thickness of 4.0mm, totally different stress profile has been found experimentally. Suprisingly uniform birefringence throughout whole thickness has been found for all the cases of constrained quenching. Finally, to explain the mechanism to produce the final residual stresses and bire-fringence some preliminary numerical results including free volume theory have been introduced briefly.

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SMOOTHING APPROXIMATION TO l1 EXACT PENALTY FUNCTION FOR CONSTRAINED OPTIMIZATION PROBLEMS

  • BINH, NGUYEN THANH
    • Journal of applied mathematics & informatics
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    • v.33 no.3_4
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    • pp.387-399
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    • 2015
  • In this paper, a new smoothing approximation to the l1 exact penalty function for constrained optimization problems (COP) is presented. It is shown that an optimal solution to the smoothing penalty optimization problem is an approximate optimal solution to the original optimization problem. Based on the smoothing penalty function, an algorithm is presented to solve COP, with its convergence under some conditions proved. Numerical examples illustrate that this algorithm is efficient in solving COP.

Constrained Estimation of the Numbers of Trials in Several Binomial Populations

  • Oh, Myongsik;Lee, Eun-Kyoung
    • Communications for Statistical Applications and Methods
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    • v.7 no.3
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    • pp.699-709
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    • 2000
  • The constrained maximum likelihood estimation of the number of trials in several binomial populations under order restriction, such as simple order, is discussed. The estimation procedure is based on, so called, pool adjacent violators algorithm. Three handy estimators are given and their performances are compared using an artificial example.

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A Study on Market Power and Compensation for Constrained Off generators under Uniform Pricing Scheme (Uniform Pricing 체계 하에서의 시장지배력과 제약비발전 보상체계)

  • Shin, Young-Gyun;Kim, Bal-Ho H.;Jun, Yeoung-Hwan
    • Proceedings of the KIEE Conference
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    • 2003.07a
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    • pp.649-651
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    • 2003
  • In the framework of competitive electricity market, the Market Power due to the transmission congestion, lack of demand-side response, various uncertain factors etc. have been significant problem. This paper reviews the market rules of Korea power system and the uplift scheme for constrained on/off generators. Then, this paper points out several problems and the mitigation measures of local market power concerning the compensation for constrained-off generators.

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A Study on Contingency Constrained Optimal Power Flow Algorithm (Contingency Constrained Optimal Power Flow에 관한 연구)

  • Joung, Sang-Houn;Shin, Young-Gyun;Chung, Koo-Hyung;Kim, Bal-Ho
    • Proceedings of the KIEE Conference
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    • 2003.11a
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    • pp.472-474
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    • 2003
  • This paper presents a contains contingency constrained Optimal Power Flow(CCOPF) algorithm. The proposed algorithm maintains the nodal voltage levels within the specified limits after contingency. A case study demonstrate the proposed algorithm with the IEEE-14RTS under N-1 contingency criterion.

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Constrained Bayes and Empirical Bayes Estimator Applications in Insurance Pricing

  • Kim, Myung Joon;Kim, Yeong-Hwa
    • Communications for Statistical Applications and Methods
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    • v.20 no.4
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    • pp.321-327
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    • 2013
  • Bayesian and empirical Bayesian methods have become quite popular in the theory and practice of statistics. However, the objective is to often produce an ensemble of parameter estimates as well as to produce the histogram of the estimates. For example, in insurance pricing, the accurate point estimates of risk for each group is necessary and also proper dispersion estimation should be considered. Well-known Bayes estimates (which is the posterior means under quadratic loss) are underdispersed as an estimate of the histogram of parameters. The adjustment of Bayes estimates to correct this problem is known as constrained Bayes estimators, which are matching the first two empirical moments. In this paper, we propose a way to apply the constrained Bayes estimators in insurance pricing, which is required to estimate accurately both location and dispersion. Also, the benefit of the constrained Bayes estimates will be discussed by analyzing real insurance accident data.

Vibration Suppression Control of Constrained Spatial Flexible Manipulators (구속받는 3차원 유연 매니퓨레이터의 진동억제 제어)

  • 김진수;우찌야마마사루
    • Journal of the Korean Society for Precision Engineering
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    • v.17 no.7
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    • pp.189-195
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    • 2000
  • For free motions, vibration suppression of flexible manipulators has been one of the hottest research topics. However, for constrained motions, a little effort has been devoted for vibration suppression control. Using the dependency of elastic deflections of links on contact force under static conditions, vibrations for constrained planar two-link flexible manipulators have been suppressed successfully by controlling the contact force. However, for constrained spatial multi-link flexible manipulators, the vibrations cannot be suppressed by only controlling the contact force. So, the aim of this paper is to clarify the vibration mechanism of a constrained, multi-DOF, flexible manipulator and to devise the suppression method. We apply a concise hybrid position/force control scheme to control a flexible manipulator modeled by lumped-parameter modeling method. Finally, a comparison between simulation and experimental results is presented to show the performance of our method.

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