• 제목/요약/키워드: Component number

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밀도분포법을 이용한 부재의 연결구조 최적화 (Topology Optimization of Connection Component System Using Density Distribution Method)

  • 한석영;유재원
    • 한국공작기계학회논문집
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    • 제12권4호
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    • pp.50-56
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    • 2003
  • Most engineering products contain more than one component. Failure occurs either at the connection itself or in the component at the point of attachment of the connection in many engineering structures. The allocation and design of connections such as bolts, spot-welds, adhesive etc. usually play an important role in the structure of multi-components. Topology optimization of connection component provides more practical solution in design of multi-component connection system. In this study, a topology optimization based on density distribution approach has been applied to optimal location of fasteners such as T-shape, L-shape and multi-component connection system. From the results, it was verified that the number of iteration was reduced, and the optimal topology was obtained very similarly comparing with ESO method. Therefore, it can be concluded that the density distribution method is very suitable for topology optimization of multi-component structures.

밀도분포법을 이용한 부재의 연결구조 최적화 (Topology Design of Connection Component System Using Density Distribution Method)

  • 한석영;유재원;박재용
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2003년도 춘계학술대회 논문집
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    • pp.15-20
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    • 2003
  • Most engineering products contain more than one component. Failure occurs either at the connection itself or in the component at the point of attachment of the connection in many engineering structures. The allocation and design of connections such as bolts, spot-welds, adhesive etc. usually play an important role in the structure of multi-components. Topology optimization of connection component provides more practical solution in design of multi-component connection system. In this study, a topology optimization based on density distribution approach has been applied to optimal location of fasteners such as T-shape, L-shape and multi-component connection system. From the results, it was verified that the number of iteration was reduced, and the optimal topology was obtained very similarly comparing with ESO method. Therefore, it can be concluded that the density distribution method is very suitable for topology optimization of multi-component structures.

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LOCATING AND COUNTING BIFURCATION POINTS OF SATELLITE COMPONENTS FROM THE MAIN COMPONENT IN THE DEGREE-n BIFURCATION SET

  • Geum Young-Hee;Kim Young-Ik
    • Journal of applied mathematics & informatics
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    • 제22권1_2호
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    • pp.339-350
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    • 2006
  • The bifurcation point where a satellite component buds from another component is characterized by the existence of the common tangent line between the two osculating components appearing in the degree-n bifurcation set. We investigate the existence, location and number of bifurcation points for satellite components budding from the main component in the degree-n bifurcation set as well as a parametric boundary equation of the main component of the degree-n bifurcation set. Cusp points are also located on the boundary of the main component. Typical degree-n bifurcation sets and their components are illustrated with some computational results.

Principal Component Regression by Principal Component Selection

  • Lee, Hosung;Park, Yun Mi;Lee, Seokho
    • Communications for Statistical Applications and Methods
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    • 제22권2호
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    • pp.173-180
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    • 2015
  • We propose a selection procedure of principal components in principal component regression. Our method selects principal components using variable selection procedures instead of a small subset of major principal components in principal component regression. Our procedure consists of two steps to improve estimation and prediction. First, we reduce the number of principal components using the conventional principal component regression to yield the set of candidate principal components and then select principal components among the candidate set using sparse regression techniques. The performance of our proposals is demonstrated numerically and compared with the typical dimension reduction approaches (including principal component regression and partial least square regression) using synthetic and real datasets.

신농촌개발을 위한 농학,공학적 정주생활권 모형의 개발(II) - 토지이용 계획 - (Development of Rural Settlement Planning Model Through Engineering and Agricultural Approach (II) -Analysis of Land Use Planning-)

  • 김홍윤;이신호;이홍주;전우형;정예표;조흥수;김영철
    • 한국농공학회지
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    • 제35권3호
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    • pp.63-73
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    • 1993
  • For a systematic approach to rural settlement planning, socio-economic and land use potentialities were analysed in 10 villages("Ri", the lowest-order administrative unit in Korea)of Izuk-myun, Anseong-gun, Kyeonggi province, the model area in this study. Socio-economic potentialities, sub-grouped into rural and urban related ones, were analysed by the principal component analysis technique, while land use potentialities by the land suitability system of which the physical analysis is based on geographical information system. The principal component of rurality is strongly related with 5 key variables such as annual increasing rate of farm households, ratio of over 1ha-households, ratio of full-time farmers, ratio of animal rearing households and the principal component of urbanity with 6 key ones such as population density, number of schools, number of shops and servicing facilities, number of daily bus routes, number of non-farm households, percentage of area of housing sites. The analysis procedure of land suitability using the geographical information system were generalized and the results of analysis on village sites and paddy and upland fields were presented. The whole land use planning was presented by the criteria of the land suitability rank and the priority order of land use. land use.

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중성자 방사화분석에 의한 한국자기의 분류

  • 강형태;이철
    • 보존과학연구
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    • 통권6호
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    • pp.111-120
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    • 1985
  • Data on the concentration of Na, K, Sc, Cr, Fe, Co, Cu, Ga, Rb, Cs, Ba, La,Ce, Sm, Eu, Tb, Lu, Hf, Ta and Th obtained by Neutron Activation Analysishave been used to characterise Korean porcelainsherds by multivariate analysis. The mathematical approaches employed is Principal Component Analysis(PCA).PCA was found to be helpful for dimensionality reduction and for obtaining information regarding (a) the number of independent causal variables required to account for the variability in the overall data set, (b) the extent to which agiven variable contributes to a component and(c) the number of causalvariables required to explain the total variability of each measured variable.

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하이브리드 병렬 유전자 알고리즘을 이용한 최적 신뢰도-중복 할당 문제 (An Optimal Reliability-Redundancy Allocation Problem by using Hybrid Parallel Genetic Algorithm)

  • 김기태;전건욱
    • 산업공학
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    • 제23권2호
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    • pp.147-155
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    • 2010
  • Reliability allocation is defined as a problem of determination of the reliability for subsystems and components to achieve target system reliability. The determination of both optimal component reliability and the number of component redundancy allowing mixed components to maximize the system reliability under resource constraints is called reliability-redundancy allocation problem(RAP). The main objective of this study is to suggest a mathematical programming model and a hybrid parallel genetic algorithm(HPGA) for reliability-redundancy allocation problem that decides both optimal component reliability and the number of component redundancy to maximize the system reliability under cost and weight constraints. The global optimal solutions of each example are obtained by using CPLEX 11.1. The component structure, reliability, cost, and weight were computed by using HPGA and compared the results of existing metaheuristic such as Genetic Algoritm(GA), Tabu Search(TS), Ant Colony Optimization(ACO), Immune Algorithm(IA) and also evaluated performance of HPGA. The result of suggested algorithm gives the same or better solutions when compared with existing algorithms, because the suggested algorithm could paratactically evolved by operating several sub-populations and improve solution through swap, 2-opt, and interchange processes. In order to calculate the improvement of reliability for existing studies and suggested algorithm, a maximum possible improvement(MPI) was applied in this study.

재사용을 위한 XML 기반 소프트웨어 아키텍쳐 명세 언어 (XML based Software Architecture Specification Language for Reuse)

  • 이윤수;윤경섭;왕창종
    • 한국정보처리학회논문지
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    • 제7권3호
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    • pp.808-817
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    • 2000
  • Component specification languages in consideration of reuse are essential factor in classification, verification and retrieval of components. A number of legacy specification languages have already been used, however, they are complex and include many necessary elements in the specification for implementation. In this paper, we present XML-based component specification and software architecture specification language to solve these problems of legacy specification languages. The presented specification languages consist of component specification, which is composed of signature specification, interface specification and message specification, and software architecture specification providing graphical notations and textural notations. Component specification supports component retrieval with behavioral match and black-box reuse of component. In addition to this, it improves the efficiency of retrieval and document management with XML-based component specification. Software architecture specification supports the structural reuse of architecture, which is white-box reuse, through mesage-based architecture specification.

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마코프 체인과 고장데이터를 이용한 고장건수 예측에 관한 연구 (A Study on The Prediction of Number of Failures using Markov Chain and Fault Data)

  • 이희태;김재철
    • 한국조명전기설비학회:학술대회논문집
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    • 한국조명전기설비학회 2008년도 추계학술대회 논문집
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    • pp.363-366
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    • 2008
  • It was accomplished that failure analysis not only failure numbers but also power system components every years. and these informations help power system operation considerably. power system equipment were occurred a break down by natural phenomenon and aging but it was not able to predict this failure number. But many papers and technical repots study for each equipment failure rate and reliability evaluation methods. so this paper show a failure number prediction whole power system component using Markov theory not each component failure probability. the result present a next month system failure number prediction.

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요소결합을 통한 파워트레인 모델링 (Automotive Powertrain Modeling with the Combination of the Component)

  • 서정민;이승종
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2002년도 춘계학술대회 논문집
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    • pp.301-304
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    • 2002
  • Powertrain simulation is important fur the analysis of a vehicle performance. Automotive powertrain has been considered as the unified system and should be remodeled, whenever a powertrain system is changed. In this study, a new method is proposed for the synthetic modeling for the automotive powertrain. Components are separated from the powertrain system and constructed the matrix through dynamic relationships. The dynamic equation of the total powertrain system can be driven from the combination of each component. In order to combine each component, the superposition method is modified for the powertrain composition.

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