• Title/Summary/Keyword: Selection Process

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A Study on the Application of Analytic Hierarchy Process to the selection of Fighter Plane (계층화의사결정법(AHP)을 이용한 전투기의 기종선정에 관한 연구)

  • Eun, Hee-Bong;Kim, Bong-Sun
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.6 no.1
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    • pp.51-69
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    • 1998
  • This paper was studied to present a model for the application of AHP to the selection of fighter planes. For this study, a questionnaire was developed in respect to the criteria of fighter plane and given to 70 reserved officers who had experienced as fighter pilots in Republic of Korean Air Force (ROKAF) to ask their opinions about the candidates for the next-generation fighter planes of the ROKAF. The AHP software developed by Korean Advanced Institute of Science Technology (KAIST) was used to process the data. The result was analyzed by the criteria of selecting military aircraft and the several alternatives for the next-generation fighter planes.

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Optimization Analysis of Flexible Cellular Manufacturing: Route Selection and Determining the Optimal Production Conditions for Ordered Products (유연한 셀생산을 위한 최적가공경로와 생산조건의 결정)

  • Song, Sang-Jae;Choi, Jung-Hee
    • Journal of Korean Institute of Industrial Engineers
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    • v.18 no.1
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    • pp.47-62
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    • 1992
  • This paper describes a procedure for optimizing the route selection and production conditions in alternate process plans under a cellular manufacturing environment. The type of production is mainly production-to-order which deals with unexpected products as the changes factor. The flexible cellular manufacturing can be viewed as a complete unification of both flexible manufacturing process and flexible production management. The integrated problem for designing flexible cellular manufacturing associated with determining the optimal values of the machining speeds, overtime, and intercell flow is formulated as Nonlinear Mixed Integer Programming(NMIP) in order to minimize total production change cost. This is achieved by introducing the marginal cost analysis into the NMIP, which will compute the optimal machining speed, overtime, intercell flow, and routing. The application of this procedure offers greater flexibility to take advantage of the cellular manufacturing due to the optimum use of resources. A solution procedure for this problem was developed and a numerical example is included.

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LDesign and implementation of a content-based image retrieval system using the duplicated color histogram and spatial information (중복된 칼라 히스토그램과 공간 정보를 이용한 내용 기반 화상 검색 시스템 설계 및 구현)

  • 김철원;최기호
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.5
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    • pp.889-898
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    • 1997
  • Most general content-based image retrieval techniques use color and texture as retrieval indices. Spatial information is not used to color histogram and color pair based on color retrieval techniques. This paper proposes the selection of a set of representative in the duplicated color histogram, the analysis of spatial information of the selected colors and the image retrieval process based on the duplicated color histogram and spatial information. Two color historgrams for background and object are used in order to decide on color selection in the duplicated color histogram. Spatial information is obtained using a maximum entropy discretization. A retrieval process applies to duplicated color histogram and spatial to retrieve input images and relevant images. As the result of experiment of the image retrieval, improved color his togram and spatial information method hs increased the retrieval effectiveness more the color histogram method and color pair method.

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Framework for Innovative Mechanical Design Using Simulated Emergent Evolution (창발적 기계설계를 위한 컴퓨터기반 프레임워크)

  • Lee, In-Ho;Cha, Ju-Heon;Kim, Jae-Jeong
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.26 no.4
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    • pp.701-710
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    • 2002
  • The framework, described in this paper, involves artificial evolutionary systems that re -produce aimed solutions through a simulated Darwinian evolution process. Through this process the framework designs structures of machines innovatively and emergently especially in the stages of conceptual and basic design. Since the framework simulates the evolution of nature, it inevitably involves processes that converse the natural evolution to the artificial evolution. For the conversion, based on several methods as the building block modeling, Artificial Life, evolutionary computation and the law of natural selection, we propose a series of processes that consists of modeling, evaluation, selection, evolution etc. We have demonstrated the implementation of the framework with the design of multi-step gear systems.

Whole genome sequencing of Luxi Black Head sheep for screening selection signatures associated with important traits

  • Liu, Zhaohua;Tan, Xiuwen;Wang, Jianying;Jin, Qing;Meng, Xianfeng;Cai, Zhongfeng;Cui, Xukui;Wang, Ke
    • Animal Bioscience
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    • v.35 no.9
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    • pp.1340-1350
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    • 2022
  • Objective: Luxi Black Head sheep (LBH) is the first crossbreed specialized for meat production and was developed by crossbreeding Black Head Dorper sheep (DP) and Small Tailed Han sheep (STH) in the farming areas of northern China. Research on the genomic variations and selection signatures of LBH caused by continuous artificial selection is of great significance for identifying the genetic mechanisms of important traits of sheep and for the continuous breeding of LBH. Methods: We explored the genetic relationships of LBH, DP, and several Mongolian sheep breeds by constructing phylogenetic tree, principal component analysis and linkage disequilibrium analysis. In addition, we analysed 29 whole genomes of sheep. The genome-wide selection signatures have been scanned with four methods: heterozygosity (HP), fixation index (FST), cross-population extended haplotype homozygosity (XP-EHH) and the nucleotide diversity (𝜃π) ratio. Results: The genetic relationships analysis showed that LBH appeared to be an independent cluster closer to DP. The candidate signatures of positive selection in sheep genome revealed candidate genes for developmental process (HoxA gene cluster, BCL2L11, TSHR), immunity (CXCL6, CXCL1, SKAP2, PTK6, MST1R), growth (PDGFD, FGF18, SRF, SOCS2), and reproduction (BCAS3, TRIM24, ASTL, FNDC3A). Moreover, two signalling pathways closely related to reproduction, the thyroid hormone signalling pathway and the oxytocin signalling pathway, were detected. Conclusion: The selective sweep analysis of LBH genome revealed candidate genes and signalling pathways associated with developmental process, immunity, growth, and reproduction. Our findings provide a valuable resource for sheep breeding and insight into the mechanisms of artificial selection.