• Title/Summary/Keyword: Finding Problems

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Fuzzy programming for improving redundancy-reliability allocation problems in series-parallel systems

  • Liu, C.M.;Li, J.L.
    • International Journal of Reliability and Applications
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    • v.12 no.2
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    • pp.79-94
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    • 2011
  • Redundancy-reliability allocation problems in multi-stage series-parallel systems are addressed in this study. Fuzzy programming techniques are proposed for finding satisfactory solutions. First, a multi-objective programming model is formulated for simultaneously maximizing system reliability and minimizing system total cost. Due to the nature of uncertainty in the problem, the fuzzy set theory and technique are used to convert the deterministic multi-objective programming model into a fuzzy nonlinear programming problem. A heuristic method is developed to get satisfactory solutions for the fuzzy nonlinear programming problem. A Pareto optimal solution is found with maximal degree of satisfaction from the interception area of fuzzy sets. A case study that is related to the electronic control unit installed on aircraft engine over-speed protection system is used to implement the developed approach. Results suggest that the developed fuzzy multi-objective programming model can effectively resolve the fuzzy and uncertain problem when design goals and constraints are not clearly confirmed at the initial conceptual design phase.

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THE PERFORMANCE OF A MODIFIED ARMIJO LINE SEARCH RULE IN BFGS OPTIMIZATION METHOD

  • Kim, MinSu;Kwon, SunJoo;Oh, SeYoung
    • Journal of the Chungcheong Mathematical Society
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    • v.21 no.1
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    • pp.117-127
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    • 2008
  • The performance of a modified Armijo line search rule related to BFGS gradient type method with the results from other well-known line search rules are compared as well as analyzed. Although the modified Armijo rule does require as much computational cost as the other rules, it shows more efficient in finding local minima of unconstrained optimization problems. The sensitivity of the parameters used in the line search rules is also analyzed. The results obtained by implementing algorithms in Matlab for the test problems in [3] are presented.

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Automatic control problems of VVVF converter-based variable-frequency type air (VVVF기를 기초한 가변식기압급수설비의 자동제어 문제)

  • 박용규
    • 제어로봇시스템학회:학술대회논문집
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    • 1991.10a
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    • pp.468-468
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    • 1991
  • The variable-frequency type water supply equipment, which adopts the variable-voltage and variable-frequency converter(VVVF converter) to govern automatically the rotating speed of a pump, can save 15-20% of power, as compared with a throttle-controlled pump device or an airpressurized water supply equipment, and is finding a wide application. However, it still has some disadvantages : greater pressure fluctuations during switching over the pump and prolonged low-effeciency running of the pump in the case of small consumption of water. Therefore, it is difficult to apply the equipment to the fire water supply system where the water should not be put into use unless a fire takes place, and the water pressure in pipelines should permanently remain constant. This paper introduces the automatic regulation principle of the variable-frequency type air-pressurized water supply equipment (hereafter referred to as simply BFQS equipment) for dual purposes of daily life and fire control, which combined both technologies of speed governing by a converter and air-pressurized water supplying, then discusses some problems related to automatic control, and finally gives the experimental results of an embodiment-BPQS-100-50 water supply equipment.

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Practical Optimization Methods for Finding Best Recycling Pathways of Plastic Materials

  • Song, Hyun-Seob;Hyun, Jae Chun
    • Clean Technology
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    • v.7 no.2
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    • pp.99-107
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    • 2001
  • Optimization methodologies have been proposed of find the best environment-friendly recycling pathways of plastic materials based on life-cycle assessment (LCA) methodology. The main difficulty in conducting this optimization study is that multiple environmental burdens have to be considered simultaneously as the cost functions. Instead of generating conservative Pareto or noninferior solutions following multi-objective optimization approaches, we have proposed some practical criteria on how to combine the different environmental burdens into a single measure. The obtained single objective optimization problem can then be solved by conventional nonlinear programming techniques or, more effectively, by a tree search method based on decision flows. The latter method reduces multi-dimensional optimization problems to a set of one-dimensional problems in series. It is expected the suggested tree search approach can be applied to many LCA studies as a new promising optimization tool.

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Finding Alternative Solutions and Analyzing Spectrum Policy Cost on Spectrum Usage (전파사용 기반의 전파정책성 비용제도 분석 및 대안의 결정)

  • Ahn, Choon-Soo;Lee, Dong-Hyung;Youm, Se-Kyoung
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.35 no.2
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    • pp.181-188
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    • 2012
  • The fee system on spectrum usage is a usage fee that is charged for using spectrum provided by a wireless tower, and is used for management and promotion of the waves. The current fee system for spectrum usage in South Korea has faced many problems, such as complex calculation for fees, unjustified charges, unfairness in cost sharing among providers, and general inefficiency of operation. This study focuses on comparison of fee systems for spectrum usage of South Korea and other foreign countries, extraction of the root causes and problems by case analyses, and recommendation for better solutions to make a reasonable fee system for spectrum usage. The result of this study can be used as a solution to render spectrum usage more effective.

A Quality Data Mining System in TFT-LCD Industry (TFT-LCD 산업에서의 품질마이닝 시스템)

  • Lee, Hyun-Woo;Nam, Ho-Soo
    • Journal of Korean Society for Quality Management
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    • v.34 no.1
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    • pp.13-19
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    • 2006
  • Data mining is a useful tool for analyzing data from different perspectives and for summarizing them into useful information. Recently, the data mining methods are applied to solving quality problems of the manufacturing processes. This paper discusses the problems of construction of a quality mining system, which is based on the various data mining methods. The quality mining system includes recipe optimization, significant difference test, finding critical processes, forecasting the yield. The contents and system of this paper are focused on the TFT-LCD manufacturing process. We also provide some illustrative field examples of the quality mining system.

A Study on The Mechanical Properties of Permanent Form Mortar (비탈형 영구거푸집용 굳은모르터의 특성에 관한 연구)

  • 김우재;이영도;임남기;김성식;문장수;정상진
    • Proceedings of the Korea Concrete Institute Conference
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    • 1997.10a
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    • pp.166-173
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    • 1997
  • The present problem of this country building market in the face of 3D, in addition to a rise in construction cost, materials problems and opening a building market to foreign countries, is finding the efficient ways of overcoming these problems. So the efficacy of form work in technical improvement becomes important through scientific methods of the design and construction as advancement in th study of strength for Permanent form mortar is possible. According to the increment of polymer-cement ration, the degree of bending strength and compressive strength and impact strength increases. The optimum volume content of glass fiber seemed to be about 2.5% considering the distribution of glass fiber, workability and economy.

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A multi-layed neural network learning procedure and generating architecture method for improving neural network learning capability (다층신경망의 학습능력 향상을 위한 학습과정 및 구조설계)

  • 이대식;이종태
    • Korean Management Science Review
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    • v.18 no.2
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    • pp.25-38
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    • 2001
  • The well-known back-propagation algorithm for multi-layered neural network has successfully been applied to pattern c1assification problems with remarkable flexibility. Recently. the multi-layered neural network is used as a powerful data mining tool. Nevertheless, in many cases with complex boundary of classification, the successful learning is not guaranteed and the problems of long learning time and local minimum attraction restrict the field application. In this paper, an Improved learning procedure of multi-layered neural network is proposed. The procedure is based on the generalized delta rule but it is particular in the point that the architecture of network is not fixed but enlarged during learning. That is, the number of hidden nodes or hidden layers are increased to help finding the classification boundary and such procedure is controlled by entropy evaluation. The learning speed and the pattern classification performance are analyzed and compared with the back-propagation algorithm.

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A Study on 3-D Shape Measurement and Application by using Digital Projection $Moir\acute{e}$ ( I ) (디지털 영사식 무아레를 이용한 3차원 형상 측정과 응용에 관한 연구( I ))

  • Ryu Weon-Jae;Rho Hyung-Min;Lee Dong-Hwan;Kang Young-June
    • Journal of the Korean Society for Precision Engineering
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    • v.22 no.7 s.172
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    • pp.88-93
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    • 2005
  • $Moir\acute{e}$ topography method is a well-known non-contacting 3-D measurement method. Recently, the automatic 3-D measurement by $Moir\acute{e}$ topography has been required, since the method was frequently applied to the engineering and medical fields. The 3-D measurement using projection $Moir\acute{e}$ topography is very attractive because of its high measuring speed and high sensitivity. In this paper, using two-wavelength method of projection $Moir\acute{e}$ topography was tested to measuring object with $2\pi-ambiguity$ problems. The experimental results prove that the proposed scheme is capable of finding absolute fringe orders, so that the $2\pi-ambiguity$ problems can be effectively overcome so as to treat large step discontinuities in measured objects.

Functional Agents to Replace Antibiotics for Friendly Environment Pig Diets (환경친화형 양돈사료를 위한 항생제 대체 기능성 물질)

  • 홍의철;김인호
    • Korean Journal of Organic Agriculture
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    • v.9 no.4
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    • pp.135-148
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    • 2001
  • Antibiotics supplementation in animal feeds results in bacterial resistance to the antibiotics and residue of the antibiotics in animal products, which can cause serious problems in human health. Therefore, the finding of new substances replacing antibiotics are needed. New substances are egg york antibody, probiotics, organic acid, mannanoligosaccharide(MOS), fructooligosaccharide(FOS), and chitosan etc. Egg york antibody is antibody to obtain from egg york of the chicken injected the specific antigen. Probiotics can prevent the problems of residue of the antibiotics and resistance to the antibiotics. Organic acids ctrl preservation of colostrum inhibit the rottenness and increase the beneficial bacteria. MOS and FOS increase the beneficial bacteria, too. Chitosan is used the immune material to active the anti-bacteria.

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