• Title/Summary/Keyword: problem situations

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Extension of PM Model with Random Maintenance Quality

  • Jung, Ki-Mun
    • Communications for Statistical Applications and Methods
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    • v.13 no.3
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    • pp.651-656
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    • 2006
  • Wu and Clements-Croome (2005) investigate the optimization problem of PM policies for situations where the quality of PM is a random variable with a certain probability distribution. However, they assume that the cost of preventive maintenance is constant, not depending on the quality of PM. Thus, this paper considers a periodic PM model when PM cost depends on the quality of PM activity. The optimal PM policy are presented for the extended PM model and the numerical examples are presented for illustrative purpose.

WHEN CAN SUPPORT VECTOR MACHINE ACHIEVE FAST RATES OF CONVERGENCE?

  • Park, Chang-Yi
    • Journal of the Korean Statistical Society
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    • v.36 no.3
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    • pp.367-372
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    • 2007
  • Classification as a tool to extract information from data plays an important role in science and engineering. Among various classification methodologies, support vector machine has recently seen significant developments. The central problem this paper addresses is the accuracy of support vector machine. In particular, we are interested in the situations where fast rates of convergence to the Bayes risk can be achieved by support vector machine. Through learning examples, we illustrate that support vector machine may yield fast rates if the space spanned by an adopted kernel is sufficiently large.

CHARACTERIZATION OF REINHARDT DOMAINS BY THEIR AUTOMORPHISM GROUPS

  • Isaen, Alexander-V.;Krantz, Steven-G.
    • Journal of the Korean Mathematical Society
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    • v.37 no.2
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    • pp.297-308
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    • 2000
  • We survey results, obtained in the past three years, on characterizing bounded (and Kobayashi-hyperbolic) Reinhardt domains by their automorphism groups. Specifically, we consider the following two situations: (i) the group is non-compact, and (ii) the dimension of the group is sufficiently large. In addition, we prove two theorems on characterizing general hyperbolic complex manifolds by the dimensions of their automorphism groups.

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Expectations In Fuzzy Environments

  • Mordechay, Schneider;Abraham, Kandel
    • Journal of the Korean Institute of Intelligent Systems
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    • v.3 no.1
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    • pp.76-89
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    • 1993
  • The evaluation of the Fuzzy Expected Value (FEV) as a typical value requires complete knowledge about the domain of the evaluation, and the distribution of the population in that domain [1]. Since in many situations it is not possible to gather complete knowledge regarding the domain, it is necessary to relax some of the restrictions involving the evaluation of FEV. In this paper we discuss solutions to this problem by using the concept of the Fuzzy Expected Interval (FEI).

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A Design Method for Weighted Order Statistic Filters Based on the Perceotron Algorithm (Perceptron 알고리즘을 이용한 가중 순서 통게 필터의 설계)

  • 정병장;이용훈
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.30B no.6
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    • pp.1-6
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    • 1993
  • In this paper, we observe that the design of optimal weighted order statistic(WOS) filters minimizing the mean absolute error criterion can be though of as a two-class linear classification problem. Based on this observation, the perceptron algorithm is applied to design WOS filters. It is shown, through experiments, that the perceptron algorithm can find optimal or near optimal WOS filters in practical situations.

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CONVERGENCE PROPERTIES OF PREDATOR-PREY SYSTEMS WITH FUNCTIONAL RESPONSE

  • Shim, Seong-A
    • Honam Mathematical Journal
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    • v.30 no.3
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    • pp.411-423
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    • 2008
  • In the field of population dynamics and chemical reaction the possibility or the existence of spatially and temporally nonhomogeneous solutions is a very important problem. For last 50 years or so there have been many results on the pattern formation of chemical reaction systems studying reaction systems with or without diffusions to explain instabilities and nonhomogeneous states arising in biological situations. In this paper we study time-dependent properties of a predator-prey system with functional response and give sufficient conditions that guarantee the existence of stable limit cycles.

Probability Calculation of Component or Subsystem Failure used by Bayes Formula (베이즈 정리를 이용한 부품 또는 서브시스템의 고장 확률 계산)

  • 이성철
    • Journal of the Korea Safety Management & Science
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    • v.3 no.2
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    • pp.123-131
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    • 2001
  • Reliability calculation of a system is frequently required in industrial, military, and everyday life situations. For such a calculation, it is necessary to specify the configuration of components and subsystems, the failure mode of each component, and the states in which the system is classified as failed. In this paper, we are primary interested in the time to the first failure of a system. And we discuss failure probability of coherent system under various condition, especially focus on probability calculation of subsystem failure before system failure used by Bayes formula. Problem statement and general applications illustrated by several examples.

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The role of risk perception for the definition of acceptable risk (위험 인식이 위험성 수용 기준 설정에 미치는 역할)

  • 노삼규
    • Fire Science and Engineering
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    • v.9 no.2
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    • pp.3-9
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    • 1995
  • Acceptable risk problem are decision problems they requires a choice among different estimations of technological risks. The alternative option includes a threat to life among its consequences. However, the definition used to ignore the public's perceived risk which should be identified as acceptable risk. The study examine the role of perception of risk as acceptable risk between different situations of estimated consequence and probability of risk. The cost benefit principle for the reduction of risk applied to find the possible solutions with in decision making process.

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A Simple Method for Solving Type-2 and Type-4 Fuzzy Transportation Problems

  • Senthil Kumar, P.
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.16 no.4
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    • pp.225-237
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    • 2016
  • In conventional transportation problem (TP), all the parameters are always certain. But, many of the real life situations in industry or organization, the parameters (supply, demand and cost) of the TP are not precise which are imprecise in nature in different factors like the market condition, variations in rates of diesel, traffic jams, weather in hilly areas, capacity of men and machine, long power cut, labourer's over time work, unexpected failures in machine, seasonal changes and many more. To counter these problems, depending on the nature of the parameters, the TP is classified into two categories namely type-2 and type-4 fuzzy transportation problems (FTPs) under uncertain environment and formulates the problem and utilizes the trapezoidal fuzzy number (TrFN) to solve the TP. The existing ranking procedure of Liou and Wang (1992) is used to transform the type-2 and type-4 FTPs into a crisp one so that the conventional method may be applied to solve the TP. Moreover, the solution procedure differs from TP to type-2 and type-4 FTPs in allocation step only. Therefore a simple and efficient method denoted by PSK (P. Senthil Kumar) method is proposed to obtain an optimal solution in terms of TrFNs. From this fuzzy solution, the decision maker (DM) can decide the level of acceptance for the transportation cost or profit. Thus, the major applications of fuzzy set theory are widely used in areas such as inventory control, communication network, aggregate planning, employment scheduling, and personnel assignment and so on.

Web-based PBL Performance Assessment Management Model Through the Analysis of the Distance Teacher Training (초등 교원 원격연수의 인식도 분석을 통해 본 웹기반 문제중심 수행평가 운영 모형개발)

  • Kwon, Hyung-Kyu
    • Journal of The Korean Association of Information Education
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    • v.9 no.3
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    • pp.549-560
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    • 2005
  • Web-based distance teacher training should focus on increasing self-directed problem solving skills of trainers by problem-based instruction(PBL). Performance assessment evaluates achievement of learning goals through the practical performance learning to solve problems in the real situation. This study proposes a web-based performance assessment model for the distance teacher training. It reflects fairness and objectiveness issues of performance assessment which elementary teachers are concerned about through the survey on distance teacher training, and relieves instructors from overload of managing and scoring performance tests. The proposed model provides problem-based learning situations, interactions between individuals and groups, and web-based cooperative evaluation and the peer evaluation.

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