• Title/Summary/Keyword: 부트스트랩핑

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Extracting Semantic Triples from Patent Documents Using Pattern Bootstrapping (패턴 부트스트랩핑을 이용한 특허 문헌에서의 시맨틱 트리플 추출)

  • Jeong, Chang-Hoo;Chun, Hong-Woo;Choi, Yun-Soo;Song, Sa-kwang;Choi, Sung-Pil;Cho, Minhee;Jung, Hanmin
    • Proceedings of the Korea Contents Association Conference
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    • 2012.05a
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    • pp.281-282
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    • 2012
  • 문서에 존재하는 중요한 개체를 인식하고 그것들 간의 관계를 식별하는 시맨틱 트리플 추출은 문헌 분석의 기반이 되는 중요한 작업이다. 본 논문에서는 특허 문헌에서 이러한 시맨틱 트리플을 추출하는 방법에 대해서 설명한다. 특허 문헌의 효과적인 자동 분석을 위하여 문장 내의 다양한 구문적 변형을 인식하여 하나의 정규화된 의미 형태로 표현해주는 술어-논항 구조 기반의 패턴을 사용하였고, 패턴의 자동화된 확장을 위하여 부트스트랩핑 방법을 적용하였다. 이러한 방법은 소규모의 시드 데이터를 활용하여 특정의미 관계를 갖는 패턴을 자동으로 확장하고 최종적으로는 유의미한 트리플을 추출하는 방법으로 다량의 이진 관계 집합을 처리해야 할 때 아주 유용한 방법이다. 시스템 적용을 통하여 특허 문헌에 적합한 38개의 연관관계 집합을 생성하였고, 32,608개의 유의미한 트리플을 추출하였다.

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Service Bundle Authentication Mechanisms in the OSGi Service Framework Environment (OSGi 서비스 프레임워크 환경에서의 서비스 번들 인증 메커니즘)

  • 김영갑;문창주;박대하;백두권
    • Proceedings of the Korean Information Science Society Conference
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    • 2002.04a
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    • pp.868-870
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    • 2002
  • 기존의 네트워크 환경에서의 서비스와 달리 OSGi 프레임워크 환경에서의 서비스는 생명 주기에 따라 동적이고, 다른 서비스와의 상호작용 등이 일어나기 때문에 거짓 오퍼레이터(OP)에 의해 인증되지 않은 악의적인 서비스가 배치될 수 있고 또한 서비스가 변질 될 수도 있다. 그러므로, 개방형 서비스 게이트웨이 (OSG)를 시동하였을 때 초기화하는 과정인 부트스트랩핑(Bootstrapping)단계에서 공유 비밀키(shared secret)를 생성, 이로부터 유도된 MAC(Message Authentication Codes) Key를 기반으로 한 서비스 번들 인증을 통하여 안전한 서비스를 제공받을 수 있어야 한다. 본 논문에서는 서비스 번들을 인증 하기 위한 키 교환 방법과 서비스 인증 메커니즘을 제시하였다. 대칭키, 공개키의 키 교환 메커니즘은 대칭키를 이용한 키 교환 메커니즘이 공개키를 이용한 것보다 더 효율적이며, 이를 이용한 MAC 기반 서비스 번들 인증 또한 기존의 PKI 기반 서비스 번들 인증보다 인증 속도가 빠르다.

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Practical Validity of Weighting Methods : A Comparative Analysis Using Bootstrapping (부트스트랩핑을 이용한 가중치 결정방법의 실질적 타당성 비교)

  • Jeong, Ji-Ahn;Cho, Sung-Ku
    • Journal of Korean Institute of Industrial Engineers
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    • v.26 no.1
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    • pp.27-35
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    • 2000
  • For a weighting method to be practically valid, it should produce weights which coincide with the relative importance of attributes perceived by the decision maker. In this paper, 'bootstrapping' is used to compare the practical validities of five weighting methods frequently used; the rank order centroid method, the rank reciprocal method, the rank sum method, the entropic method, and the geometric mean method. Bootstrapping refers to the procedure where the analysts allow the decision maker to make careful judgements on a series of similar cases, then infer statistically what weights he was implicitly using to arrive at the particular ranking. The weights produced by bootstrapping can therefore be regarded as well reflecting the decision maker's perceived relative importances. Bootstrapping and the five weighting methods were applied to a job selection problem. The results showed that both the rank order centroid method and the rank reciprocal method had higher level of practical validity than the other three methods, though a large difference could not be found either in the resulting weights or in the corresponding solutions.

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Effects of Local Governments Social Security Network on Safety life satisfaction - Mediating effect of regional disorder - (CPTED와 지자체 안전교육이 지역 무질서 및 안전생활 만족도에 미치는 영향: 지역 무질서의 매개효과)

  • Kang, hyeon;Kim, hyun-ho
    • Korean Security Journal
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    • no.54
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    • pp.77-99
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    • 2018
  • This study is designed to examine the relationship between the social safety net and the 'satisfaction level of safety life' conducted by local governments and to examine the effects of anarchy on the indicators. To do this, 300 people were sampled using the random sample method in the metropolitan area using the population of residents in the metropolitan area in 2017, and a total of 276 copies were extracted except 24 copies in the final analysis. Regression analysis and path analysis were conducted through structural equation modeling. Bootstrapping was performed to investigate the significance of the mediator effect. In summary, 'CPTED' has a positive effect on 'disorder' and 'safety life satisfaction', but 'municipal safety education' has a positive effect on 'safety life satisfaction' Respectively. 'Local disorder' has a negative effect on 'safety life satisfaction'. As a result of path analysis, the same effect was found. In order to examine mediating effect, bootstrapping showed that regional disorder was mediated only in 'CPTED' and 'safety life'. This result suggests that there is a need for change in the safety education of the community and it supports the precedent study that it is an effective means of safety net for the safety life of the CPTED community in the community. It is one of the nation's most important policies to prepare measures for the safety of the people. The local governments should also ensure the safety of local residents. In this study, the relationship between the local safety net and the disorder and safety life satisfaction was investigated.

The Mediating Effect of Grit in the Relationship between pPCK and ePCK Perceived by Teachers in Elementary School Science Classes (초등학교 과학 수업에서 교사가 인식하는 pPCK와 ePCK 사이의 관계에서 그릿의 매개효과)

  • Chae, Yoojeong;Lee, Kiyoung;Park, Jaeyong
    • Journal of Korean Elementary Science Education
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    • v.43 no.1
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    • pp.95-107
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    • 2024
  • In this study, we explored the mediating effect of grit in the relationship between elementary school science teachers' perceived personal pedagogical content knowledge (pPCK) and enacted pedagogical content knowledge (ePCK). Drawing on insights from a review of the literature, we developed a research hypothesis model that set pPCK, ePCK, and grit as latent variables. Pearson correlation was conducted to examine the interrelationships among the latent variables. Structural equation modeling (SEM) was then employed to analyze the model fit. Additionally, bootstrap analysis was performed to specifically investigate the mediating effect of grit in the relationship between pPCK and ePCK. The Pearson correlation analysis indicated statistically significant correlations among the measurement variables. Meanwhile, the SEM analysis revealed that the measurement model aligned with the research hypothesis model. Furthermore, the bootstrap analysis demonstrated that grit had a statistically significant mediating effect in the relationship between elementary school science teachers' perceived pPCK and ePCK. These findings quantitatively examine the importance and impact of grit in the teacher expertise domain, providing valuable insights for the development of teachers' expertise and teacher education research within elementary school science classes.

Impact of Marriage Immigrant Women's Digital Information Utilization Capabilities on Life Satisfaction: Mediating Effect of Digital Information Self-efficacy (결혼이주여성의 디지털 정보 활용 역량이 삶의 만족도에 미치는 영향: 디지털 정보화 자기효능감의 매개효과)

  • Woo-Hong Cho;Jun-Su Kim;Young-Eun Jang;Dea-Hun Choi
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2024.01a
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    • pp.203-206
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    • 2024
  • 본 연구의 목적은 결혼이주여성의 디지털 정보 활용 역량과 삶의 만족도 관계에서 디지털 정보화 자기효능감의 매개효과를 검증하는 데 있다. 이러한 연구 목적 달성을 위해서 "2022년 디지털정보격차 실태조사" 자료에서 결혼이민자 중 여성의 응답을 SPSS 25.0, AMOS 24.0 통계패키지를 이용하여 디지털 정보 활용 역량을 독립변수로 하고 삶의 만족도를 종속변수로 설정하였다. 그 결과, 첫째, 결혼이주여성의 디지털 정보 활용 역량이 삶의 만족도에 미치는 영향은 통계적으로 유의하지 않았다. 둘째, 결혼이주여성의 디지털 정보 활용 역량은 디지털 정보화 자기효능감에 정(+)적인 영향을 미쳤다. 셋째, 결혼이주여성의 디지털 정보화 자기효능감은 삶의 만족도에 정(+)적인 영향을 미치는 것으로 나타났다. 넷째, 디지털 정보 활용 역량이 디지털 정보화 자기효능감을 매개로 삶의 만족도에 미치는 영향의 부트스트랩핑을 통해 통계적 유의성을 확인한 결과, 신뢰구간에 0이 포함되지 않았고, 통계적으로도 유의하였다.

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The Mediating Effects of Emotional Dysregulation on the Relationship between Care Worker's Job Stress and Mental Health (요양보호사의 직무스트레스와 정신건강의 관계에서 정서조절곤란의 매개효과)

  • Goh, Jinkyung
    • Journal of Digital Convergence
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    • v.17 no.6
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    • pp.307-314
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    • 2019
  • The study examined the mediating effect of emotional dysregulation on the relationship between care worker's job stress and mental health. The Geriatric Caregiver's Job Stress Questionnaire, Difficulties in Emotion Regulation Scale, and The Symptom Check-List-90-R were administered to 154 care workers. Through the hierarchical regression analysis, direct interrelationship among job stress, emotional dysregulation, and mental health was examined. Furthermore, the statistical significance of mediating effect of emotional dysregulation on the relationship between job stress and mental health was tested through the bootstrapping. The result showed that the lack of emotional clarity and the limited access to emotion regulation strategies appeared to have a complete mediation effect on the relationship between job stress and mental health. That meant the necessity of adaptive emotional regulation in dealing with mental health problem elicited by job stress.

The Effects of Parenting Attitude on Adolescents' Offenses : The Mediating Effects of Mobile phone Dependency (부모의 양육태도가 청소년 비행에 미치는 영향 : 휴대전화 의존도를 매개로 하여)

  • Kim, Ji-yoon;Kang, Hyun-ah
    • The Journal of the Korea Contents Association
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    • v.17 no.8
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    • pp.39-52
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    • 2017
  • The purpose of this study was to examine the mediating effects of mobile phone dependency in the relationship between parenting attitude and juvenile delinquency. This study used the secondary data from the $1^{st}$, $2^{nd}$ and $3^{rd}$ waves of the Korean Children and Youth Panel Survey(2010, KCYPS). The data of 2,086 middle school students were analyzed by utilizing Structural Equation Model(SEM). The results are as follows. First, positive and negative parenting attitudes had no direct effects on juvenile delinquency, while positive parenting attitudes had significantly decreased adolescents' mobile phone dependency. In addition, negative parenting attitudes had positive effects on adolescents' mobile phone delinquency. Second, mobile phone dependency was fully mediated by parenting attitudes and juvenile delinquency. On the basis of these results of study, policy and practice implications were discussed to reduce juvenile delinquency by improving parenting attitudes.

Semantic Relation Extraction using Pattern Pairs Sharing a Term (용어를 공유하는 패턴 쌍을 이용한 의미 관계 추출)

  • Kim, Se-Jong;Lee, Yong-Hun;Lee, Jong-Hyeok
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.3
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    • pp.221-225
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    • 2009
  • Constructing an ontology using a mass corpus begins with an automatic semantic relation extraction. A general method regards words appearing between terms as patterns which are used to extract semantic relations. However, previous approaches consider only one sentence to extract a pattern, so they cannot extract semantic relations for terms in different sentences. This paper proposes a semantic relation extraction method using pairs of patterns sharing a term, where each pattern is extracted using one of the seed term pair satisfying the target relation. In our experiments, we achieved the accuracy 83.75% improving previous methods by 7.5% in is-${\alpha}$ relation and the accuracy 83.75% improved by 5% in part-of relation. We also present a possibility of improving the recall by the relative recall.

Development of Machine Learning Models Classifying Nitrogen Deficiency Based on Leaf Chemical Properties in Shiranuhi (Citrus unshiu × C. sinensis) (부지화 잎의 화학성분에 기반한 질소결핍 여부 구분 머신러닝 모델 개발)

  • Park, Won Pyo;Heo, Seong
    • Korean Journal of Plant Resources
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    • v.35 no.2
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    • pp.192-200
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    • 2022
  • Nitrogen is the most essential macronutrient for the growth of fruit trees and is important factor determining the fruit yield. In order to produce high-quality fruits, it is necessary to supply the appropriate nitrogen fertilizer at the right time. For this, it is a prerequisite to accurately diagnose the nitrogen status of fruit trees. The fastest and most accurate way to determine the nitrogen deficiency of fruit trees is to measure the nitrogen concentration in leaves. However, it is not easy for citrus growers to measure nitrogen concentration through leaf analysis. In this study, several machine learning models were developed to classify the nitrogen deficiency based on the concentration measurement of mineral nutrients in the leaves of tangor Shiranuhi (Citrus unshiu × C. sinensis). The data analyzed from the leaves were increased to about 1,000 training dataset through the bootstrapping method and used to train the models. As a result of testing each model, gradient boosting model showed the best classification performance with an accuracy of 0.971.