• Title/Summary/Keyword: 자기상관계수

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Forecasting the Trading Volumes of Marine Transport and Ports Logistics Policy -Using Multiplicative Seasonal ARIMA Model- (해상운송의 물동량 예측과 항만물류정책 -승법 계절 ARIMA 모형을 이용하여-)

  • Kim, Chang-Beom
    • Journal of Korea Port Economic Association
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    • v.23 no.1
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    • pp.149-162
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    • 2007
  • The purpose of this study is to forecast the marine trading volumes using multiplicative seasonal Autoregressive Integrated Moving Average(ARIMA) model. The paper proceeds by comparing the forecasting performances of the unload volumes with those of the load volumes with Box-Jenkins ARIMA model. Also, I present the predicted values based on the ARIMA model. The result shows that the trading volumes increase very slowly.

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The Flattening Algorithm of Speech Spectrum by Quadrature Mirror Filter (QMF에 의한 음성스펙트럼의 평탄화 알고리즘)

  • Min, So-Yeon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.7 no.5
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    • pp.907-912
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    • 2006
  • Pre-emphasizing the speech compensates for falloff at high frequencies. The most common form of pre-emphasis is y(n)=s(n)-A${\cdot}$s(n-1), where A typically lies between 0.9 and 1.0 in voiced signal. And, this value reflects the degree of pre-emphasis and equals R(1)/R(0) in conventional method. This paper proposes a new flattening method to compensate the weaked high frequency components that occur by vocal cord characteristic. We used QMF(Quardrature Mirror Filter) to minimize the output signal distortion. After using the QMF to compensate high frequency components, flattening process is followed by R(1)/R(0) at each frame. Experimental results show that the proposed method flattened the weaked high frequency components effectively than auto correlation method. Therefore, the flattening algorithm will apply in speech signal processing like speech recognition, speech analysis and synthesis.

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Effect of Covert Narcissism, Self-directed learning Ability, Academic Achievement on Self-leadership of Nursing students (간호대학생의 내현적 자기애, 자기주도학습능력, 학업성취도가 셀프리더십에 미치는 영향)

  • Kyoung Eun Lee;Eun Kyung Byun
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.409-417
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    • 2023
  • This study was attempted to confirm the effects of covert narcissism, self-directed learning ability, academic achievement on self-leadership in nursing students. This study targeted 247 nursing students in B and Y cities. Data analysis was analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and multiple regression analysis using the SPSS 22.0 program. The average self-leadership of the subjects was 3.14±0.62 points, and the difference in self-leadership according to general characteristics was significant in major satisfaction (F=11.111, p<.001). There was positive correlation between self-leadership and self-directed learning ability (r=.630, p<.001), academic achievement (r=.532, p<.001), and negative correlation between covert narcissism (r=-.206, p=.001). The factors influencing the subject's self-leadership were identified as covert narcissism (β=-.147, p=.031), self-directed learning ability (β=.468, p<.001) and academic achievement (β=.282, p<.001) and the explanatory power was 46.9%. Based on the results of the study, the necessary of developing an effective education program considering the self-leadership and related factors of nursing students was suggested.

The Effect of Self-Efficacy and Positive Thinking on Subjective Happiness of Nursing Students (자기효능감, 긍정적 사고가 간호대학생의 주관적 행복감에 미치는 영향)

  • Kim, Su-Ol
    • Journal of Digital Convergence
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    • v.15 no.12
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    • pp.435-444
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    • 2017
  • The purposes of this study was to evaluate the effect of self-fficacy and positive thinking on subjective happiness of nursing students. In this study, 265 data was collected from nursing students of D-city in South Korea from April 4 to 22, 2016. Collected data was analyzed using the SPSS 21.0 Statistics Program. with descriptive statisticsm, t-test, ANOVA, Pearson's correlation coefficients, and multiple regression using SPSS WIN 21.0 program. There were significant predictors of subjective happiness for nursing students were self efficacy (${\beta}=.023$, p<.01), positive thinking (${\beta}=.610$, p<.001), explaining 48.7% of the variance in subjective happiness. The most important predictors of subjective happiness for nursing students were positive thinking. These findings can be utilized to development of strategies for increasing subjective happiness of nursing students. We suggested a follow-up study that explains the subjective happiness of nursing students by expanding students number.

The Relationship between Emotional intelligence, Academic self-efficacy and self-leadership among Nursing Students (간호대학생의 감성지능, 학업적 자기 효능감 및 셀프리더십 간의 관계)

  • Lee, Oi Sun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.9
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    • pp.6036-6043
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    • 2015
  • The purpose of this study was to identify the relationship between emotional intelligence, academic self-efficacy, and self-leadership among nursing students. Subjects were 230 nursing students in South Korea. Data were collected using self-report questionnaires from September 1 to 30, 2015, and analyzed using frequencies, t-tests, ANOVA, Pearson's correlation, and multiple regression using SPSS Win 18.0. Self-leadership was significantly positively correlated with emotional intelligence and academic self-efficacy in nursing students. Students with higher emotional intelligence and academic self-efficacy showed higher self-leadership. Emotional intelligence and academic self-efficacy explained 40.2% of the total variance in self-leadership among nursing students. Therefore, to increase nursing students' self-leadership, it is necessary to develop and test programs to ensure an improvement in emotional intelligence and academic self-efficacy among nursing students.

Quo Vadis?

  • Lee, Il-Gyun
    • The Korean Journal of Financial Studies
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    • v.2 no.2
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    • pp.1-64
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    • 1995
  • 이 논문은 자본시장이 무작위 행보를 운동법칙으로 삼고 있는가, 아니면 정상성의 시계열에 의하여 움직이고 있는가를 심도있게 분석한다. 주가가 무작위 행보를 따른다는 가설을 긍정적 입장에서, 부정적 측면에서, 그리고 이 양자가 공존하고 있다는 관점에서 각 측면에 합당한 방법론을 통한 실증적 분석에 의하여 검정한다. 여러 검증방법을 사용하여 종합주가지수 수익률을 분석하였는 바, 주가 시계열은 무작위 행보가 아니라 정상성의 확률과정(stationary precess) 임이 밝혀졌다. 이와 같은 결과는 우리나라의 증권시장의 성질 중의 하나가 평균회귀라는 것을 입증하는 증거이다. 그리고 평균회귀가 단기적으로 발생하여 그 속도가 매우 빠르다. 주가 시계열에 충격이 가해져 영향을 받을 때 3일 정도가 경과하면 그 충격이 거의 모두 소멸하고 있다. 우리나라 증권시장은 volatility가 높다. 주가는 상당히 높은 자기상관 관계를 갖고 있으며, 이 상관계수가 음수로서 약 -0.50이다. 무척 빠른 속도의 평균회귀와 높은 시계열 상관에 비추어 볼 때 우리나라의 자본시장이 효율적 시장이라는 가설에는 큰 의심이 든다. 뿐만 아니라 이 실증적 결과는 단기적 예측 가능성이 존재할 수 있음을 시사하고 있다. 주가 시계열은 이분산성(異分散性)이 꽤 높다.

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Classification of Cancer-related Gene Expression Data Using Neural Network Classifiers (신경망 분류기를 이용한 암 관련 유전자 발현정보를 분류)

  • 권영준;류중원;조성배
    • Proceedings of the Korean Information Science Society Conference
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    • 2001.04b
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    • pp.295-297
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    • 2001
  • 최근 생물 유전자 정보를 효과적으로 분석하기 위한 적절한 도구의 필요성이 대두되고 있다. 본 논문에서는 백혈병 환자의 골수로부터 얻어낸 DNA Microarray 유전 정보를 분류하여 환자가 가지고 있는 암의 종류를 예측하기 위한 최적의 특징추출방법과 분류 방법을 찾고자 한다. 이를 위해 피어슨 상관관계, 유클리디안 거리, 코사인 계수, 스피어맨 상관관계, 정보 이득, 상호 정보, 신호 대잡음비의 7가지 특징 추출 방법을 사용하였으며, 역전과 신경망, 의사결정 트리, 구조 적응형 자기구성 지도, $textsc{k}$-최근접 이웃 등 가지의 기계학습 분류기를 이용하여 분류 실험을 하였다. 실험결과, 피어슨 상관관계와 역전파 신경망을 이용한 분류 방법이 97.1%의 인식률을 보임을 알 수 있었다.

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A development of stochastic simulation model based on vector autoregressive model (VAR) for groundwater and river water stages (벡터자기회귀(VAR) 모형을 이용한 지하수위와 하천수위의 추계학적 모의기법 개발)

  • Kwon, Yoon Jeong;Won, Chang-Hee;Choi, Byoung-Han;Kwon, Hyun-Han
    • Journal of Korea Water Resources Association
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    • v.55 no.12
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    • pp.1137-1147
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    • 2022
  • River and groundwater stages are the main elements in the hydrologic cycle. They are spatially correlated and can be used to evaluate hydrological and agricultural drought. Stochastic simulation is often performed independently on hydrological variables that are spatiotemporally correlated. In this setting, interdependency across mutual variables may not be maintained. This study proposes the Bayesian vector autoregression model (VAR) to capture the interdependency between multiple variables over time. VAR models systematically consider the lagged stages of each variable and the lagged values of the other variables. Further, an autoregressive model (AR) was built and compared with the VAR model. It was confirmed that the VAR model was more effective in reproducing observed interdependency (or cross-correlation) between river and ground stages, while the AR generally underestimated that of the observed.

Relation between Appearance Satisfaction and Self-efficacy in College Students (대학생의 외모만족도와 자기효능감의 관계)

  • Park, Soonjoo;Kim, Hyun-Ok;An, Keum-Ok;Lee, Yiluda
    • The Journal of the Korea Contents Association
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    • v.14 no.7
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    • pp.271-280
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    • 2014
  • The purpose of this study was to investigate the appearance satisfaction and self-efficacy of college students. The relation between appearance satisfaction and self-efficacy was also examined. The study adopted a descriptive survey design. The convenience sample consisted of 395 undergraduate college students from three universities in D city. The data were collected from May to July, 2011 using the Body Cathexis Scale and the Self Efficacy Scale. Data analysis was performed with SPSS WIN 21.0 Program. The scores on both scales showed a significant difference between male and female students, and the male students had higher scores. Male and female students had similar rank order of body part by satisfaction scores. There were significant correlations between appearance satisfaction scores and self-efficacy scores but there were no significant differences between the correlation coefficients in male and female students. This result indicates that the effect of appearance satisfaction on self-efficacy was similar in both male and female students. The findings of this study suggest that an intervention program to enhance appearance satisfaction is effective in increasing self-efficacy of college students.

A wavelet packet system for detecting the visual anomalies of spun-yarn diameter profiles (방적사 외관에 영향을 미치는 이상신호의 검출을 위한 웨이블릿 패킷 시스템)

  • 김주용
    • Proceedings of the Korean Fiber Society Conference
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    • 2001.10a
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    • pp.159-161
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    • 2001
  • 지난 수 십년 동안 단위 길이당의 질량이나 지름의 변동은 섬유 공정 및 품질 관리에 있어서 매우 중요한 특성으로 알려져왔다. [1,2] 특히 방적사의 균제도는 최종 제품의 성능이나 외관을 결정하는 중요한 요인중의 하나로 그 특성을 밝히기 위해 불균제 지수, 스펙트로그램, 자기 상관 계수도 등이 사용되어져 왔다. (중략)

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