• 제목/요약/키워드: Hierarchical Class

검색결과 198건 처리시간 0.029초

계층 구조를 고려한 Jena Plug-in 저장소의 평가를 위한 실험 및 시뮬레이션 (Experiment and Simulation for Evaluation of Jena Storage Plug-in Considering Hierarchical Structure)

  • 신희영;정동원;백두권
    • 한국시뮬레이션학회논문지
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    • 제17권2호
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    • pp.31-47
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    • 2008
  • W3C에서 표준 온톨로지 서술 언어로 OWL을 채택함에 따라 많은 온톨로지들이 OWL로 기술 및 구현되고 있다. 이와 관련된 기술 중 Jena는 HP에서 개발한 API로서 저장소는 물론 추론 엔진을 개발할 수 있는 다양한 API를 제공하고 있으며 현재 많은 시스템 개발에 이용되고 있다. 그러나 Jena2의 저장 모델은 단일 테이블에 문서의 정보를 저장하기 때문에 대용량의 온톨로지 데이터 처리에 있어 성능이 저하되는 문제점을 지닌다. 무엇보다 클래스와 프로퍼티의 계층적 구조를 고려하지 않기 때문에 계층 구조를 이용한 질의 처리 시 잦은 조인 연산으로 인해 성능이 급격하게 저하된다. 따라서 본 논문에서는 이러한 문제점들을 해결하기 위해 기존의 Jena2 API를 그대로 이용하면서 Plug-in 형식으로 적용할 수 있는 새로운 OWL 온톨로지 관계형 데이터베이스 모델을 제안한다. 제안 모델은 클래스(Class), 프로퍼티(Property), 인스턴스(Instance)의 정보들을 의미적으로 분류하여 저장하며 계층적 정보들에 대해서도 개별적으로 관리함으로써 질의 처리 성능을 향상시킨다. 또한 기존모델과 이 논문에서 제안하는 모델과의 실험 및 시뮬레이션을 통해 비교 분석 한다. 실험 및 시뮬레이션 결과에서, 제안 시스템이 Jena2보다 나은 성능을 보였다.

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A novel approach for the design of multi-class reentrant manufacturing systems

  • Yoo, Dong-Joon;Jung, Jae-Hak;Lee, In-Beum;Lee, Euy-Soo;Yi, Gyeong-beom
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.710-715
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    • 2004
  • The design problem of manufacturing system is addressed, adopting the closed queueing network model with multiple loops and re-entrant flows. The entire design problem is divided into two hierarchical sub-problems of (1) determining the station configuration and (2) optimizing the lot constitution; then they are tackled by neighbor search algorithm (NSA) and greedy mean value analysis (GMVA), respectively. Unlike the conventional MVA concerning multi-class closed queueing networks, the GMVA doesn't stick to a fixed lot proportion; rather it tries to find the optimal balance. The NSA, on the other hand, improves the object function value by altering the station configuration successively with its superior neighbor. The moderate time complexity, presented in big-${o}$ notation, enables us to apply the method even to the large-size practical cases, and the CPU time of an enlarged problem can be approximated by the same equation. The validity of our analytic approach is backed up by simulation studies with a widespread simulation package.

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군집분석법과 분산주성분분석법을 이용한 대기분진시료의 분류 (Classification of Ambient Particulate Samples Using Cluster Analysis and Disjoint Principal Component Analysis)

  • 유상준;김동술
    • 한국대기환경학회지
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    • 제13권1호
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    • pp.51-63
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    • 1997
  • Total suspended particulate matters in the ambient air were analyzed for eight chemical elements (Ca, Co, Cu, Fe, Mn, Pb, Si, and Zn) using an x-ray fluorescence spectrometry (XRF) at the Kyung Hee University - Suwon Campus during 1989 to 1994. To use these data as basis for source identification study, membership of each sample was selected to represent one of the well defined sample groups. The data sets consisting of 83 objects and 8 variables were initially separated into two groups, fine (d$_{p}$<3.3 ${\mu}{\textrm}{m}$) and coarse particle groups (d$_{p}$>3.3 ${\mu}{\textrm}{m}$). A hierarchical clustering method was examined to obtain possible member of homogeneous sample classes for each of the two groups by transforming raw data and by applying various distances. A disjoint principal component analysis was then used to define homogeneous sample classes after deleting outliers. Each of five homogeneous sample classes was determined for the fine and the coarse particle group, respectively. The data were properly classified via an application of logarithmic transformation and Euclidean distance concept. After determining homogeneous classes, correlation coefficients among eight chemical variables within all the homogeneous classes for calculated and meteorological variables (temperature. relative humidity, wind speed, wind direction, and precipitation) were examined as well to intensively interpret environmental factors influencing the characteristics of each class for each group. According to our analysis, we found that each class had its own distinct seasonal pattern that was affected most sensitively by wind direction.ion.

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IEEE 802.16 망을 위한 무선 자원 관리 모델링 (Radio Resource Management Modeling in IEEE 802.16e Networks)

  • 노철우;김경민
    • 한국콘텐츠학회논문지
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    • 제8권1호
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    • pp.169-176
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    • 2008
  • 본 논문에서는 접속 (connection)과 패킷의 두 레벨 (level)을 함께 고려하는 IEEE 802.16 망에서의 무선 자원 관리 큐잉 모델을 개발한다. 상위 레벨인 접속 레벨에서는 대역폭 가용여부와 서비스 클래스별 우선순위 큐를 사용하여 접속 수락제어를 모델링하고 하위 레벨인 패킷 전송은 서비스 클래스별 임계치와 현재 가용한 대역폭의 두 항목을 동시에 고려한 동적 대역폭 할당 방법을 모델링 한다. 계층 모델은 페트리 네트의 확장형인 SRN (Stochastic Reward Nets)을 이용하여 개발되며 802.16서비스 클래스별 트래픽에 대한 대역폭 활용률과 처리율을 성능지표로 모델에 대한 수치결과를 구한다.

Statistical Approach to Noisy Band Removal for Enhancement of HIRIS Image Classification

  • Huan, Nguyen Van;Kim, Hak-Il
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2008년도 춘계학술대회 논문집
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    • pp.195-200
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    • 2008
  • The accuracy of classifying pixels in HIRIS images is usually degraded by noisy bands since noisy bands may deform the typical shape of spectral reflectance. Proposed in this paper is a statistical method for noisy band removal which mainly makes use of the correlation coefficients between bands. Considering each band as a random variable, the correlation coefficient measures the strength and direction of a linear relationship between two random variables. While the correlation between two signal bands is high, existence of a noisy band will produce a low correlation due to ill-correlativeness and undirectedness. The application of the correlation coefficient as a measure for detecting noisy bands is under a two-pass screening scheme. This method is independent of the prior knowledge of the sensor or the cause resulted in the noise. The classification in this experiment uses the unsupervised k-nearest neighbor algorithm in accordance with the well-accepted Euclidean distance measure and the spectral angle mapper measure. This paper also proposes a hierarchical combination of these measures for spectral matching. Finally, a separability assessment based on the between-class and within-class scatter matrices is followed to evaluate the performance.

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유아기 자녀를 둔 기혼여성의 우울에 대한 영향 요인: 저소득층과 중산층 비교를 중심으로 (Predictors of Depression in Mothers with Young Children by Income status)

  • 이인정
    • 보건교육건강증진학회지
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    • 제31권1호
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    • pp.27-43
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    • 2014
  • Objectives: The purpose of this study was to evaluate depression of mothers with children in early childhood and to identify predictors by income level. Methods: The research was conducted with 1,761 data from the 3rd wave of the Panel Study of Korean Children(PSKC) data. Independent variables were socio-demographic data, self-esteem, normative life-events, non-normative life events, parenting stress, marital conflict, social support. Data were analyzed by t-test, ANOVA, hierarchical multiple regression analysis were conducted. Results: Significant factors of depression of female in low-income were non-normative life events, parenting stress, marital conflict. In middle class, significant factors were education, birth order of children, self-esteem, normative and non-normative life events, parenting stress, marital conflict, sociable support. At last, we found that marital conflict was the biggest factor for depression of female in low-income and parenting stress was the most powerful predictor in middle class. Conclusions: Mother's depression has a enormous impacts on development of children in early childhood. Therefore It is required to prevent depression in mothers and it is important to intervene at the early stage of depression. Results of this study showed a different pattern of predictors by income level. Therefore, Intervention and services for a mother's depression should change the direction depending on the level of income.

National Database, Evaluation and Assessment of Plant species based on the phytosociological Information

  • Kim, Jong-Won;Lee, Eun-Jin
    • 한국동물학회:학술대회논문집
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    • 한국동물학회 1997년도 제18회 생물과학 심포지움 강연록
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    • pp.42-57
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    • 1997
  • The multicriterion matrix technique (MM-technique) was proposed for a method of monitoring and assessment about vegetation naturalness. Four criteria and 10 subcriteria were selected and two evaluation indices such as VN-value and VN-class were used. The criteria were characterized by syntaxonomical informations of hemeroby concept and potential natural vegetation, hierarchical system between criteria, and ordinal scale of VN-values. VN-values were classified into 11 ordinal levels and condensed to five VN-classes for facilitating practical use. A vegetation map of naturalness described by combination o( two indices was proposed as an alternative resolution of the DGN map. We also discuss the organization of the map content which is a matter of grid size (unit-area). In the case study, a grid size proper to show a full account of real information of actual vegetation is less 250-grid (250 $\times$ 250 $m^2$) in a medium size of city area containing relatively fragmented ecosystems. In conclusion, it was recognized that this new assessment technique was useful and vegetation assessment was accomplished with the smaller grid size in Korea.

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마틴 구티에레즈의 패션미디어 작품에 나타난 정체성 표현 -주디스 버틀러와 아테나 아타나시오우의 박탈(Dispossession) 개념을 중심으로- (Expression of Identity in Martin Gutierrez's Fashion Media Works -Focused on Judith Butler and Athena Athanasiou's Concept of Dispossession-)

  • 이명선;임은혁
    • 한국의류학회지
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    • 제47권2호
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    • pp.232-243
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    • 2023
  • The boundaries between fashion and contemporary art are increasingly blurred showing their interchangeability. This study examines Judith Butler and Athena Athanasiou's concept of dispossession to analyze expressions of gender, racial, and class identity in Martine Gutierrez's representative work, Indigenous Woman. First, gender expressions in Indigenous Woman emphasize the possibility of performative and practical gender as an image that rejects norms that grant authority according to the possession of innate body parts. Second, racial identity is expressed through resistance to the ideology of whiteness and imperialism reinforced by fashion media. The author aims to overcome normative stereotypes through the media she creates, which reveals her identity as a person of color. Third, class identity is represented through stereotypes that limit the lives of indigenous people to primitive and natural things. The author reveals a critical awareness of the hierarchical structure and cultural appropriation these stereotypes have created. This study analyzed contemporary artworks using fashion media through the concept of dispossession. The significance of this study lies in raising a critical awareness of the practices that diffuse minority identities in fashion media.

다중 클래스 SVM과 주석 코드 배열을 이용한 의료 영상 자동 주석 생성 (Medical Image Automatic Annotation Using Multi-class SVM and Annotation Code Array)

  • 박기희;고병철;남재열
    • 정보처리학회논문지B
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    • 제16B권4호
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    • pp.281-288
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    • 2009
  • 본 논문은 의료 영상 중 X-ray 영상에 대한 효과적인 분류와 자동 주석 생성을 위한 방법을 제안한다. X-ray 영상은 일반 자연 영상과는 다르게 영상 내에 중요한 의미를 가지고 있는 관심 영역과 어두운 단색의 배경으로 구성된 특징을 가지고 있음으로 본 논문에서는, 영상의 중요영역에서 해리스 코너 검출기를 이용한 색 구조 기술자(H-CSD)로 색 특징을 추출하고, 질감 특징을 위해 경계선 히스토그램 기술자(EHD)를 사용하였다. 추출된 두 개의 특징 벡터들은 각각 다중 클래스 Support Vector Machine에 적용되어 20개의 카테고리 중 하나로 영상을 분류한다. 마지막으로, 영상은 미리 정의된 카테고리들의 계층적인 관계와 우선 순위에 기반하여 주석 코드 배열(Annotation Code Array)을 부여 받고 이를 이용하여 다수의 최적 키워드를 얻으며 갖게 된다. 실험에서는 제안한 주석 생성방법을 관련 연구 방법과 비교하여 성능이 개선 되었음을 보여주고 있다.

그룹변수를 포함하는 불균형 자료의 분류분석을 위한 서포트 벡터 머신 (Hierarchically penalized support vector machine for the classication of imbalanced data with grouped variables)

  • 김은경;전명식;방성완
    • 응용통계연구
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    • 제29권5호
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    • pp.961-975
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    • 2016
  • H-SVM은 입력변수들이 그룹화 되어 있는 경우 분류함수의 추정에서 그룹 및 그룹 내의 변수선택을 동시에 할 수 있는 방법론이다. 그러나 H-SVM은 입력변수들의 중요도에 상관없이 모든 변수들을 동일하게 축소 추정하기 때문에 추정의 효율성이 감소될 수 있다. 또한, 집단별 개체수가 상이한 불균형 자료의 분류분석에서는 분류함수가 편향되어 추정되므로 소수집단의 예측력이 하락할 수 있다. 이러한 문제점들을 보완하기 위해 본 논문에서는 적응적 조율모수를 사용하여 변수선택의 성능을 개선하고 집단별 오분류 비용을 차등적으로 부여하는 WAH-SVM을 제안하였다. 또한, 모의실험과 실제자료 분석을 통하여 제안한 모형과 기존 방법론들의 성능 비교하였으며, 제안한 모형의 유용성과 활용 가능성 확인하였다.