• 제목/요약/키워드: Self-normalization

검색결과 32건 처리시간 0.026초

Real-Time Two Hands Tracking System

  • Liu, Nianjun;Lovell, Brian C.
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 ITC-CSCC -3
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    • pp.1491-1494
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    • 2002
  • The paper introduces a novel system of two hands real-time tracking based on the unrestricted hand skin segmentation by multi color systems. After corer-based segmentation and pre-processing operation, a label set of regions is created to locate the two hands automatically. By the normalization, template matching is used to find out the left or right hand. An improved fast self-adaptive tracking algorithm is applied and Canny filter is used for hand detection.

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Semantic Correspondence of Database Schema from Heterogeneous Databases using Self-Organizing Map

  • Dumlao, Menchita F.;Oh, Byung-Joo
    • 전기전자학회논문지
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    • 제12권4호
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    • pp.217-224
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    • 2008
  • This paper provides a framework for semantic correspondence of heterogeneous databases using self- organizing map. It solves the problem of overlapping between different databases due to their different schemas. Clustering technique using self-organizing maps (SOM) is tested and evaluated to assess its performance when using different kinds of data. Preprocessing of database is performed prior to clustering using edit distance algorithm, principal component analysis (PCA), and normalization function to identify the features necessary for clustering.

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부분방전 패턴인식기법으로서의 Neural Network 알고리즘 비교 분석 (A Comparative Study on Neural Network Algorithms for Partial Discharge Pattern Recognition)

  • 이호근;김정태
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 춘계학술대회 논문집 전기설비전문위원
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    • pp.109-112
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    • 2004
  • In this study, the applicability of SOM(Self Organizing Map) algorithm to partial discharge pattern recognition have been investigated. For the purpose, using acquired data from the artificial defects in GIS, SOM algorithm which has some advantages such as data accumulation ability and the degradation trend trace ability was compared with conventionally used BP(Back Propagation) algorithm. As a result, basically BP algorithm was found out to be better than SOM algorithm. Therefore, it is needed to apply SOM algorithm in combination with BP algorithm in order to improve on-site applicability using the advantages of SOM. Also, for the pattern recognition by use of PRPDA(Phase Resolved Partial Discharge Analysis) it is required the normalization of the PRPDA graph. However, in case of the normalization both BP and SOM algorithm have shown worse results, so that it is required further study to solve the problem.

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보행 분석시 Dimensionless number의 효과 및 성별간 보행패턴 분석 -시공간변인- (Effect of dimensionless number and analysis of gait pattern by gender -spatiotemporal variables-)

  • 이현섭
    • 한국체육학회지인문사회과학편
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    • 제53권5호
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    • pp.521-531
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    • 2014
  • 본 연구는 한국인 20대의 남성과 여성을 대상으로 보행 분석상의 표준화 방법 중의 하나인 dimensionless number의 효과를 검정하고 이를 통해 성별간 보행형태를 분석하는데 목적이 있다. 피험자는 기술표준원에서 제공하는 한국인 표준체형 및 연령 분류 체계에 맞춰 선정하였으며, 3차원 동작분석 시스템이 사용되었다. 데이터 분석을 위한 소프트웨어로는 Cortex, OrthoTrak, Matlab, Excel이 사용되었으며 통계검정을 위해서 SPSS를 사용하였다. 분석 결과를 살펴보면, Hof(1996)의 dimensionless number 변환을 통한 20대 성별 간 보행 형태는 시·공간 변인인 stride length, step length, stride time, step time, 보행속도(velocity), cadence 모두에서 유의한 차이가 없었으며, 표준화 전·후에 따라 통계분석의 결과가 달라짐을 확인하였다. 따라서 보행 분석에서 데이터의 표준화 방법 중의 하나인 dimensionless number의 적용은 통계학적 검정에 영향을 줄만큼 C.V. 값을 변화시키는 것으로 확인되었다. 본 연구를 통해, 상호 비교를 위한 보행연구에서 dimensionless number를 이용한 표준화 방식은 피험자의 신체적 특성이 분석에 미치는 영향을 제거하고 보다 정확한 통계 검정을 위해서 반드시 요구되는 과정이라는 것을 확인할 수 있었다.

부분방전 패턴인식에 대한 BP 및 SOM 알고리즘 비교 분석 (Comparative Analysis of BP and SOM for Partial Discharge Pattern Recognition)

  • 이호근;김정태;임윤석;김지홍;구자윤
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 하계학술대회 논문집 C
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    • pp.1930-1932
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    • 2004
  • SOM(Self Organizing Map) algorithm which has some advantages such as data accumulation ability and the degradation trend trace ability was compared with conventionally used BP(Back Propagation) algorithm. For the purpose, partial discharge data were acquired and analysed from the artificial defects in GIS. As a result, basically the pattern recognition rate of BP algorithm was found out to be better than that of SOM algorithm. However, SOM algorithm showed a great on-site-applicability such as ability of suggesting new-pattern-possibility. Therefore, through increasing pattern recognition rate it is possible to apply SOM algorithm to partial discharge analysis. Also, for the image processing method it is required the normalization of the PRPDA graph. However, due to the normalization both BP and SOM algorithm have shown worse results, so that it is required further study to solve the problem.

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몬테소리교육(敎育)에서 아동(兒童)의 정상화과정(正常化過程)에 관한 고찰(考察) (A Study on the Process of Normalizing Children in Montessori's Education)

  • 황옥자
    • 아동학회지
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    • 제5권
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    • pp.107-119
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    • 1984
  • In this article we reviewed the phenomena and processes of normalizing children through documentary records with interest in the aim of Montessori's education methods. The Montessori education method is based on the theory that all children should be respected and their works prized. The normalization of children does not mean only to turn abnormal children into normal ones, but to make normal characteristics - calmness, self-confidence, happiness or patience, etc.- which are latent in themselves, appear on the surface and remold them as new children. To achieve normalization some prerequisites are necessary. They are as follows: 1) The principle of freedom. The freedom in Montessori's education has some limits in prepared environments suitable for developing children as whole persons through their spontaneous activities. 2) Development of the phenomenon of children's attention. Arousal of their attention in the children's primitive inner impulse and sense of spiritual hunger. To satisfy their hunger children divert their interest to certain objects and come to repeated exercise of intelligence. 3) Concentration and repetitive phenomena. Repetition through children's concentration phenomenon is a natural and important fundamental behavior which controls their mental power. Repetitive behavior will form serious discipline and promote development of their intelligence.

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만성질환아동 부모의 부모되기 경험 (Parenting Experience of Parents with Chronically Ill Children)

  • 박은숙;이기형;오원옥;임여진;조은지
    • Child Health Nursing Research
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    • 제21권3호
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    • pp.272-284
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    • 2015
  • Purpose: The purpose of the study was to describe the parenting experience of parents of children with chronic illness in Korea. Methods: A conventional contents analysis was used for the study. Twelve mothers of chronically ill children participated in the study. Qualitative data were analyzed using the Morse and Field method. Results: Four categories, 10 subcategories and 42 codes emerged from the data on the parenting experience of parents of children with chronic illness. The four categories were 'Sacrifice and full-engagement within self-mortification', 'Re-normalization of collapsed daily life', 'Paving a new way for independence' and 'Growing together of myself and the family'. Conclusion: Parents of children with chronic illness experienced not only negative aspects such as a confusion but also re-normalization and growing together. Based on the results, health professionals need to develop effective nursing interventions toward positive parenting for these parents and their children with chronic illnesses.

전류형 Push-Pull 고주파 인버어터 (Current-Fed Type Push-Pull High-Frequency Inverter)

  • 오승훈;이봉섭;이상호;이달해;이상권
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1992년도 하계학술대회 논문집 B
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    • pp.1123-1125
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    • 1992
  • In this paper, a current fed type Push-Pull high frequency inverter which have used in the past, proposed self tunning circuit. Also, theoretical analysis introduced which use normalization, and a several characteristics or circuit is estimated. Further, a purposed control circuit based on self tunning system is confirmed to be performance by experiment.

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DNA칩 데이터 분석을 위한 유전자발연 통합분석 프로그램의 개발 (Program Development of Integrated Expression Profile Analysis System for DNA Chip Data Analysis)

  • 양영렬;허철구
    • KSBB Journal
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    • 제16권4호
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    • pp.381-388
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    • 2001
  • DNA칩의 유전자 발현 데이터의 통합적 분석을 위하여 매트랩을 기반으로 한 통합분석 프로그램을 구축하였다. 이 프로그램은 유전자 발현 분석을 위해 일반적으로 많이 쓰는 방법인 Hierarchical clustering(HC), K-means, Self-organizing map(SOM), Principal component analysis(PCA)를 지원하며, 이외에 Fuzzy c-means방법과 최근에 발표된 Singular value decomposition(SVD) 분석 방법도 지원하고 있다. 통합분석프로그램의 성능을 알아보기 위하여 효모의 포자형성(sporulation)과 정의 유전자발현 데이터를 사용하였으며, 각 분석 방법에 따른 분석 결과를 제시하였으며, 이 프로그램이 유전자 발현데이타의 통합적인 분석을 위해 효과적으로 사용될 수 있음을 제시하였다.

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