• Title/Summary/Keyword: 선형거리가설

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Cognitive Individual Differences and L2 Learners' Processing of Korean Subject-Object Relative Clauses (인지능력의 개별차와 한국어 학습자의 주격-목적격 관계절 프로세싱)

  • Goo, Jaemyung
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.8 no.6
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    • pp.493-503
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    • 2018
  • The present study is a conceptual replication of O'Grady, Lee, and Choo's (2003) earlier study designed to investigate two hypotheses (linear distance hypothesis vs. structural distance hypothesis) in relation to L2 Korean learners' processing of Korean subject and object relative clauses (RCs) in a scholarly attempt to explicate Keenan and Comrie's (1977) Noun Phrase Accessibility Hierarchy (NPAH). In addition, the current study is intended to explore any potential role of working memory capacity (WMC) in the processing of Korean subject and/or object RCs. Chinese-speaking learners of Korean taking a language course offered at a local university in Korea participated in this experimental study. Among those recruited, only 23 learners completed the experimental tasks appropriately according to the specific instructions provided on each task, and thus, subsequent statistical analyses were conducted on their data. Fifteen Korean NSs were also recruited for the control group. Two experimental tasks were administerd to the participants: one picture selection task containing the same test items used in O'Grady et al.'s study to measure their processing of subject-object RCs and an operation span (OSPAN) task to measure their WMC. Somewhat differently from O'Grady et al.'s findings, the participating Chinese learners of Korean performed significantly better on object RCs than on subject RCs, seemingly lending support to the linear distance hypothesis. Further analyses, however, suggested that the results in favor of, or relative ease of processing, object relative clauses were due, most likely, to the learners' excessive use of the canonical sentence strategy, which also led to nonsignificant correlations between WMC and learner performance on the picture selection task.

Detecting Space-Time Clusters in Linear Point Data (선형 점자료에 있어서의 시.공 복합 군집의 탐색)

  • 홍상기
    • Journal of the Korean Geographical Society
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    • v.33 no.2
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    • pp.325-338
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    • 1998
  • 본 연구에서는 시.공 복합적인 선형 점 자료를 대상으로 시간과 공간을 함께 고려했을 때 자료 내에 군집(cluster)-시.공 복합 군집(space-time cluster)-이 존재하는 가를 검증하는 방법에 대해 논의하고, 실제 교통사고지점의 분포자료를 분석하여 군집의 유무를 통계적으로 검증하였다. 통계 분석의 결과 다음과 같은 사실이 확인되었다. 첫째, Knox의 분할표 방법과 Mantel의 역수 변환을 이용한 일반화된 회귀분석방법 모두 임계 거리 및 임계 시간 간격의 선택이 분석결과에 영향을 미친다. 둘째, 이러한 임의성을 극복하기 위해 다양한 임계 거리 및 임계 시간 간격(혹은 부가 상수)에 대해 반복 실험한 결과, 일부 임계값의 조합에서 시간과 공간이 서로 독립적이라는 귀무가설을 기각할 수 있는 증거가 발견되었다. 셋째, 시.공 복합 군집의 파악에 가장 적합한 임계 거리와 임계 시간 간격은 공간적으로는 7000m, 시간적으로는 14일 혹은 21일이다. 마지막으로, 통계 분석과정에서 자료에 존재하는 중복 기록 사고들의 존재가 밝혀짐으로써 시.공 복합군집 검증이 탐험적 자료 분석(exploratory data analysis)의 도구로서 가지는 가치를 확인할 수 있었다.

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A music similarity function based on probabilistic linear discriminant analysis for cover song identification (커버곡 검색을 위한 확률적 선형 판별 분석 기반 음악 유사도)

  • Jin Soo, Seo;Junghyun, Kim;Hyemi, Kim
    • The Journal of the Acoustical Society of Korea
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    • v.41 no.6
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    • pp.662-667
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    • 2022
  • Computing music similarity is an indispensable component in developing music search service. This paper focuses on learning a music similarity function in order to boost cover song identification performance. By using the probabilistic linear discriminant analysis, we construct a latent music space where the distances between cover song pairs reduces while the distances between the non-cover song pairs increases. We derive a music similarity function by testing hypothesis, whether two songs share the same latent variable or not, using the probabilistic models with the assumption that observed music features are generated from the learned latent music space. Experimental results performed on two cover music datasets show that the proposed music similarity improves the cover song identification performance.

A Vision-based Pipe Support Displacement Measurement Method Using Moire Patterns (모아레 현상을 이용한 영상기반 파이프 서포트 변위측정 방법)

  • Park, Junbeom;Park, Semi;Kim, Jaehyeon;Kim, Jungyeol
    • Korean Journal of Construction Engineering and Management
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    • v.23 no.1
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    • pp.37-45
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    • 2022
  • It is very important to measure the displacement of a structure to evaluate the safety of the structure. This study shows a methodology to measure the displacement to determine the stability of a structure when it is damaged by loads. The methodology used Moiré's phenomenon and was verified through experiments. The experiments utilized pipes to simulate the pipe supports in the construction site and measured the vertical displacement of the Moiré interference patterns according to the horizontal displacement of the pipes. Experiments confirmed that the linear relationship between horizontal displacement of pipes and vertical displacement of Moiré patterns and derive a relational expression. In conclusion, the methodology presented in this work allows us to simultaneously measure a number of vertical members' displacements regardless of distance and determine the safety of the structure.

Application of an Adaptive Incremental Classifier for Streaming Data (스트리밍 데이터에 대한 적응적 점층적 분류기의 적용)

  • Park, Cheong Hee
    • Journal of KIISE
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    • v.43 no.12
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    • pp.1396-1403
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    • 2016
  • In streaming data analysis where underlying data distribution may be changed or the concept of interest can drift with the progress of time, the ability to adapt to concept drift can be very powerful especially in the process of incremental learning. In this paper, we develop a general framework for an adaptive incremental classifier on data stream with concept drift. A distribution, representing the performance pattern of a classifier, is constructed by utilizing the distance between the confidence score of a classifier and a class indicator vector. A hypothesis test is then performed for concept drift detection. Based on the estimated p-value, the weight of outdated data is set automatically in updating the classifier. We apply our proposed method for two types of linear discriminant classifiers. The experimental results on streaming data with concept drift demonstrate that the proposed adaptive incremental learning method improves the prediction accuracy of an incremental classifier highly.

A Study on the Effect of Medical Esthetic Tourism and Halleu Consciousness on Tourism Image, Korean Food Consciousness, Tourist Satisfaction and Behavioral Intention (메디컬 에스테틱 관광과 한류 인식이 관광 이미지, 한국음식 인식, 관광 만족, 행동 의도의 영향 관계 - 방한 중국인.일본인 관광객을 대상으로 -)

  • Oh, Young-Sub
    • Culinary science and hospitality research
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    • v.16 no.5
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    • pp.193-207
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    • 2010
  • This paper examined the impact of medical esthetic tourism and the recognition of Halleu consciousness (Korean wave) on tourism image, Korean food consciousness, tourist satisfaction and tourist behaviour intention to achieve the aimed purpose of the paper, pre-tested questionnaire that distributed by pre-arranged MA students to deluxe hotels and plastic surgery hospitals was questioned and filled up by Japanese and Chinese tourists who visited Korea for a medical-related purpose. For sampling technique and size, random sampling was used and 211 copies of the questionnaire were collected. Linear regression through PASW 18.0 as a main statistical analysing method was used to examine the hypothesis and the result showed that medical esthetic tourism and recognition of Halleu had positive effects on tourism image, Korean food consciousness, tourist satisfaction and tourist behavioral intention(p<0.001). In particular, the result revealed that esthetic tourism and the recognition of Halleu as the main key factors had strong effects on Korean food consciousness even though there were a number of variety components in tourism. Therefore, to make inbound medical esthetic tourism and the recognition of Halleu more stable and sustainable and make Korean food world-wide recognized, more strategic policies for a specific tourism market are required.

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