• Title/Summary/Keyword: Hierarchical Class

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Design of a Hierarchical Dimension of the Bill of Materials Type (자재소요명세서 유형 계층차원의 설계)

  • Jang Se-Hyeon;Yu Han-Ju;Choi In-Soo
    • Journal of the Korea Society of Computer and Information
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    • v.11 no.4 s.42
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    • pp.243-250
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    • 2006
  • A recursive relationship is a relationship among entities of the same class. N : M recursive relationships can be used to represent bills of materials. A bill of materials is a special data structure that occurs frequently in manufacturing applications. This data structure is a hierarchy. Most business dimensions have a hierarchical structure. In this study, a design of a hierarchical dimension of the bill of materials type is carried out. As with other N : M relationships, an intersection table that shows pairs of related rows is created, and this table is transformed into a dimension in the OLAP(OnLine Analytical Processing) model. This transformation consists of two tasks: (1)replacing the first column of the intersection table with the lowest level of the dimension: and (2)replacing the second column of the table with the only upper level of the dimension. A case multidimensional information system using the hierarchical dimension is also developed.

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Removing non-informative features weakening of class separability (클래스 구분력이 없는 특징 소거법)

  • Lee, Jae-Seong;Kim, Dae-Won
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2007.11a
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    • pp.59-62
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    • 2007
  • 본 논문에서는 불균형 및 Under-sampling된 바이오 데이터에 대하여 클래스 구분력이 없는 특징의 소거를 통해 이후 이어질 FLDA 둥 다양한 방법론올 적용할 수 있는 방법을 제안하고자 한다. 제안하는 알고리즘은 평균과 분산을 통해 클래스의 형태를 결정하는 기존 방법론의 문제점을 회피할 수 있는 방법을 제공하며, 클래스 구분력에 중점을 두어 특정을 선별하였을 경우 선별된 특정들의 상관 계수가 높은 문제를 극복할 수 있도록 한다. 이에 따라 알고리즘이 선택한 특정집합은 서로의 특징에 대해 상관계수가 낮으며, 클래스의 구분력이 높은 특정을 갖게 된다.

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On Frequentist Properties of Some Hierachical Bayes Predictors for Small Domain Data in Repeated Surveys

  • Narinder K. Nangia;Kim, Dal-Ho
    • Journal of the Korean Statistical Society
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    • v.26 no.2
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    • pp.245-259
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    • 1997
  • The paper shows that certain hierachical Bayes (HB) predictors for small domain data in repeated surveys "universally" or "stochastically" dominate all linear unbiased predictors. Also, the HB predictors are "best" within the class of all equivariant predictors under a certain group of transformations.tain group of transformations.

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A Study on Information Flow and Routing in a Class of Flexible Manufacturing Systems

  • Kim, Sung-Chul
    • Journal of Korean Institute of Industrial Engineers
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    • v.15 no.1
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    • pp.23-30
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    • 1989
  • The routing flexibility in FMSs can be achieved through two levels : the parallel operations and the alternative stations. To accommodate this pertaining flexibility for part routing in FMSs, a hierarchical routing principle is developed which considers both the routing flexibility and the performance effectiveness, which can also be easily implemented. For the proper implementation of this routing algorithm, the required information flow is identified which turns out to be very simple.

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A Study on the Characteristics of Rural Convention in Geongsang Region - Focused on the Rural Development Projects, Hierarchical Structure and Living Area - (경상지역 농촌협약 특징 - 일반 농산어촌개발사업, 계층구조, 생활권 설정을 중심으로 -)

  • Kim, Sang-Bum;Eom, Seong-Jun;An, Phil-Gyun;Jeong, Myeong-Cheol;Do, Jee-Yoon;Song, Mi-Jeong
    • Journal of the Korean Institute of Rural Architecture
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    • v.24 no.4
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    • pp.67-75
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    • 2022
  • The purpose of this paper is to provide basic data to Si and Gun preparing for rural agreements in the future through consideration and case analysis for rural conventions, such things as living standards, hierarchical analysis methods, and general rural development projects. In the 1970s, sporadic and one-off projects focused on individual projects were repeatedly carried out in rural areas, which were undergoing dramatic changes in population movement, land use, landscape, economic growth and living. The keyword of the government's policy has changed to a way that existing rural development projects are planned and promoted by local governments themselves in conjunction with the issue of autonomy and decentralization. In addition, with the introduction of Rural Convention, the central and local governments are striving to achieve common policy goals. However, due to the lack of understanding of the Rural Convention introduced as a pilot project in 2020, the lack of living areas setting-standards, unclear classification of hierarchical structure, and excessive goal consciousness for general agricultural and fishing village development projects remain, fading the original purpose of the Rural Convention. Therefore, this study analyzed the seven reports of the Gyeongsang region selected in the 2021 Rural Convention to identify the characteristics of living area, hierarchical structure analysis, and detailed projects (rural center revitalization project, basic living base development project) and provided them as basic data. As a result of the study, first, according to the results of the hierarchical structure analysis, the first class was derived from 6 out of 7 Si and Gun. This is judged to be the result of the current rural population, social, and economic problems. Second, according to the results of the division of living areas, it was confirmed that except for one local government in seven cities and counties, the remaining six local governments were divided into three single living areas and three two living areas. This is the result obtained through a comprehensive review by overlapping the results of various analyses such as hierarchical analysis and resident surveys and OD data, and shows a different form from the existing upper or related plans. It is judged that this is the result of including qualitative contents such as residents' opinions along with various analyses when determining the living area. Third, the proportion of the budget for rural center revitalization and basic living base development projects to the total project cost subject to the Rural Convention was 59.6%, which was relatively higher than that of other general agricultural and fishing village development projects. It is judged that it is preferred because the unit project cost is relatively high in Si and Gun, and that quantitative results can be visually shown after the project is terminated.

Multicriterion Matrix Technique of Vegetation Assessment - A New Evaluation Technique on the Vegetation Naturalness and Its Application - (다항목 매트릭스 식생평가 기법 식생의 자연성 평가에 대한 새로운 기법과 그 적용 -)

  • 김종원;이은진
    • The Korean Journal of Ecology
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    • v.20 no.5
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    • pp.303-313
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    • 1997
  • A new evaluation technique, i.e. multicriterion matrix technique, on the vegetation assessment was proposed and compared with several techniques having been previously used in the environmental impact assessment. Four criterias and 10 subcriterias were selected for two evaluation indices such as vegetation naturalness value and vegetation class. These criterias were characterized by syntaxonomical informations of hemeroby concept and potential vegetation, hierarchical system between criterias, and ordinal scale of vegetation naturalness valuse. Vegetation naturalness values were classified into 11 ordinal levels and condensed to five vegetation classes for facilitating practical use. In the example study two sites were compared by using two indices. This technique could have useful applications for ssessment of regional vegetation. A vegetation map of naturalness described by combination of two indices was proposed in order to illustrate regional vegetation naturalness.

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Fuzzy Training Based on Segmentation Using Spatial Region Growing

  • Lee Sang-Hoon
    • Korean Journal of Remote Sensing
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    • v.20 no.5
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    • pp.353-359
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    • 2004
  • This study proposes an approach to unsupervisedly estimate the number of classes and the parameters of defining the classes in order to train the classifier. In the proposed method, the image is segmented using a spatial region growing based on hierarchical clustering, and fuzzy training is then employed to find the sample classes that well represent the ground truth. For cluster validation, this approach iteratively estimates the class-parameters in the fuzzy training for the sample classes and continuously computes the log-likelihood ratio of two consecutive class-numbers. The maximum ratio rule is applied to determine the optimal number of classes. The experimental results show that the new scheme proposed in this study could be used to select the regions with different characteristics existed on the scene of observed image as an alternative of field survey that is so expensive.

The Use of Living Services and Hierarchy Through Class and Linkage Structure Analysis - Focusing on Boryeong City - (농촌생활 서비스 기능의 중심지 계층·연계구조 분석을 통한 농촌중심지 위계 및 생활권 설정연구 - 보령시를 중심으로 -)

  • Jong Im Yang
    • Journal of Agricultural Extension & Community Development
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    • v.30 no.2
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    • pp.103-118
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    • 2023
  • This study aims to develop the living SOC function index and classified classes using the GIS-based spatial analysis method by applying the "Central Place Theory" as basic data for classifying living areas necessary for establishing rural spatial strategies in Boryeong. Boryeong-si is classified as a southern living area in the northern living area, centering on Daecheon-dong, the first class, and it is analyzed that living services such as used car service procurement and education are needed, and the southern living area needs a mid- and high-vehicle service delivery system in Ungcheon-eup. It is believed that this study can provide important clues to the classification of central functional facilities suitable for rural centers, reinforcement of vulnerable functional facilities by living area, and provision of living services.

The Development of a Communication Model for Teaching-Learning in Culinary Practical Education - A Constructivism Point of View - (조리 실기 교육을 위한 교수-학습 의사 소통 모형 개발 - 구성주의 관점에서 -)

  • Kim, Tae-Hyeong;Na, Jeng-Ki
    • Culinary science and hospitality research
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    • v.14 no.4
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    • pp.14-26
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    • 2008
  • The purpose of this study is to develop a communication model of teaching-learning at culinary practical learning class in school. Statistically, the organizational culture of culinary schools was influenced by the nature of hierarchical culture, task outcomes, and the conservative culture of organizations in companies. First, in basic skill class, teaching and learning methods are based on a teacher who leads students according to his plans and decisions. Second, in a higher skill course, teaching and learning methods are based on students who take an active part by injecting some fresh ideas into their class. Third, the model of three courses for culinary skill development has an effect on processing into a modeling-scaffolding-fading method by teaching and learning in school. It was ascertained that organizational culture directly or indirectly influenced organizational effectiveness and organizational culture in culinary schools. Moreover, it was found that organizational culture was the biggest influencing concept for communication effectiveness between teachers and students.

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Classification of Individual Ambient Particles by CCSEM (CCSEM을 이용한 대기 중 개별분진의 분류에 관한 연구)

  • 장여진;김동술
    • Journal of Korean Society for Atmospheric Environment
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    • v.13 no.5
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    • pp.345-353
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    • 1997
  • The purpose of the study was to stastically classify individual PM-10 measured by SEM/EDX (scanning electron microscopy/energy dispersive x-ray analyzer). The SEM/EDX provided various physical parameters like optical diameter, as well as major 18 chemical information (Mg, Al, Si, P, S, Cl, K, Ca, Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, Br, Pb) for a particle-by-particle basis. The total of 1,419 particles were analyzed for the study. Thus density and mass of each particle can be estimated based on its chemical composition. Further the study developed 4 semisource profiles including highway, oil boiler, incinerator, and soil emissions, where each sample was collected near the source in the ambient air The profiles developed were consisted of mass fractions and their uncertainties based on a particle class concept. To obtain mass fraction of each particle class, an agglomerative hierarchical cluster analysis was initially applied to create particle classes for each sample. Then uncertainties were calculated for each class based on the jacknife method. The 1,258 particles out of 1,419 (88.7%) were assorted in newly generated particle classes. The study provides opportunities to identify particle's source quantitatively and to develope various receptor models.

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