• Title/Summary/Keyword: 관계성 분석

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A Study on the Relationship between Rem Kolhaas and SANAA through the Analysis of Architectural Space Characteristics (렘 콜하스와 SANAA의 건축공간 특성분석을 통한 공간의 관계성에 관한 연구)

  • Kim, Suk-Young
    • The Journal of the Korea Contents Association
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    • v.21 no.6
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    • pp.113-127
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    • 2021
  • This study aims to view the architectural space of the postmodern era as a concept of continuous change without being fixed, and to understand the spatial elements in architecture with a changing network of relationships. The purpose of the study is to analyze the spatial composition strategies of the two architects while revealing the spatial characteristics shown in Rem Kolhaas and SANAA's works in terms of relativity. The method of the study defines the meaning of non-fixed relationships through theoretical considerations of relativity and then looks at the architectural approaches of Rem Kollhaas and SANAA. The relationship was divided into programs, environments, users, and furniture and furniture in the space and analyzed the works of the two architects. As a result, both architects are similar in that they reject rigid programs by organization and use potentially inherent relationships for building space activation purposes, while Rem Koolhaas uses the user's behavior-inducing strategy, while SANAA uses the user's relaxation strategy.

The Influence of Autonomy, Competency, Relatedness on Burnout among Nurses (자율성, 유능감, 관계성이 간호사 소진에 미치는 영향)

  • Cho, Young-Mun
    • Journal of Digital Convergence
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    • v.12 no.6
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    • pp.491-500
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    • 2014
  • This study aimed to assess the influence of burnout with satisfaction of basic psychological needs among nurses. From oct, 25, 2013 to nov, 25, 2013, participants included 160 nurses from 6 major general hospital located in urban areas in Korea. Data for basic psychological needs and burnout were collected through a self-reported questionnaire and were analyzed with independent t-test and analysis of variance, Pearson's correlation analysis, and multiple linear regression analysis. This study shows negative correlations between burnout and autonomy(r=-.45, P<.001), competency(r=-.52, P<.001), relatedness(r=-.49, P<.001). The variables predicting burnout were autonomy(${\beta}=-.26$), competency(${\beta}=-.30$), relatedness(${\beta}=-.12$), age(${\beta}=-.17$), number of service years(${\beta}=.09$). These variables accounted for 34.3% of the variance of burnout in nurses. Our results indicated that it is necessary to increase basic psycological needs to decrease burnout. Therefore nursing managers should develop programs in order to increase autonomy, relatedness and competency.

Derivation and Uncertainty Analysis of Rating Curve Using Hierarchical Bayesian Model (Hierarchical Bayesian 방법을 이용한 수위-유량 관계 곡선 유도 및 불확실성 분석)

  • Kwon, Hyun-Han;Moon, Young-Il;Choi, Byung-Kyu;Kim, Seok-Min
    • Proceedings of the Korea Water Resources Association Conference
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    • 2008.05a
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    • pp.1211-1214
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    • 2008
  • 정확한 유량산정은 수자원 연구에서 기초가 되는 자료를 생산한다는 관점에서 홍수 및 가뭄관리에서 매우 중요한 부분이라 할 수 있다. 국내에서 유량측정의 정확성을 높이고자 진보된 계측기의 개발 및 분석 방법에 관한 연구가 꾸준히 진행되고 있다. 일반적으로 유량을 추정하기 위해서 특정단면에서의 수위를 측정하여 이를 수위-유량 관계곡선을 통해서 유량으로 환산하게 된다. 즉 수위-유량 관계를 측정한 후 이를 회귀분석 방법으로 내삽 및 외삽을 실시하여 유량을 추정하게 된다. 그러나 수위-유량 관계곡선에서 저수위와 고수위를 하나의 곡선식으로 하게 되는 경우 정도가 낮아지게 되므로 많은 경우에 있어서 저수위, 고수위를 각각의 곡선으로 구하여 사용하고 있다. 이러한 경우 정량적으로 변곡점을 구하기보다는 경험적으로 저수위와 고수위를 구분하고 있으며, 수위-유량 관계를 회귀식에 의해서 추정하게 되므로 이에 대한 불확실성 또한 정량화할 필요가 있다. 이러한 관점에서 본 연구에서는 불확실성 분석과 함께, 저수위-고수위를 정량적으로 구분할 수 있는 Hierarchical Bayesian 방법을 도입하여 수위-유량곡선식을 유도하고자 한다.

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Influence of Relationship Quality by Servicescape of Korean Restaurants on Loyalty - Focusing on Busan city area - (한식당 서비스스케이프에 의한 관계품질이 충성도에 미치는 영향 - 부산지역 중심으로 -)

  • Baek, Jong-On
    • Culinary science and hospitality research
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    • v.19 no.5
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    • pp.87-99
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    • 2013
  • This research was intended to investigate the influence of relationship quality by servicescape of Korean restaurants on loyalty targeting Busan city area. For this, a research model was designed and hypotheses were drawn through literature investigation. 300 copies of the questionnaire for a survey were distributed from 6th to 24th of May, 2013, and then 288 copies were adopted for the empirical analysis. As for data processing, the data were analyzed by using SPSS win version 18.0 statistics package program and were verified through frequency analysis, reliability analysis, factor analysis, and regression analysis. The result of this empirical study was summarized as follows. First, as a result of verifying the influence of servicescape factors on relationship quality, cleanliness, comfortableness, and accessibility among the servicescape factors had significant effects on commitment among the quality factors. Second, the result from verifying how the servicescape factors affected trust showed that attractiveness, comfortableness, and accessibility had significant effects on trust. Third, commitment and trust among the relationship quality factors were found to have significant effects on loyalty.

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Volatility & Correlation Analysis of the East Asian Stock Market - Focusing on Korea·Japan·China·Hong Kong·Taiwan (동아시아 주식시장의 상관관계와 변동성 분석 - 한국·일본·중국·홍콩·대만을 중심으로)

  • Choi, Jeong-Il
    • The Journal of the Korea Contents Association
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    • v.17 no.5
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    • pp.165-173
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    • 2017
  • The purpose of this study was to analyze the correlation and volatility of Korea and neighboring East Asia stock markets. East Asian stock markets were selected for Japan, China, Hong Kong and Taiwan by economically and geographically close with Korea. If you understand the volatility and the correlation between Korea and the East Asian stock market, it may be helpful in predicting investment. And It may reduce the risk of investing of asset allocation in global portfolio level. For this using the national monthly return data for the last 163 months, I was calculating and comparison the rate and correlation, and regression analysis. Result of the correlation analysis, Korea have shown a low correlation with China. while showing a high correlation with Taiwan and Hong Kong. China has been forming its own market in East Asia and showing a low correlation with other countries exception Hong Kong. Hong Kong has been determined as the highest harmonization within the East Stock Market.

Mediating Effect of Interpersonal Competence on the Relation between Attachment with Parents and Psychological Well-Being of College Students (부모와의 애착이 대학생의 심리적 안녕감에 미치는 영향에서 대인관계유능성의 매개효과)

  • Oh, Ji-Hye;Yoon, Hyemee
    • The Journal of the Korea Contents Association
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    • v.17 no.2
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    • pp.1-12
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    • 2017
  • This study investigated the effect of parental attachment on interpersonal competence and psychological well-being of college students. 625 college students completed self-administered questionnaires. Reliability test, ANOVA, Duncan ex-post analysis, and hierarchical regression analysis on data were used. Study results showed that parental attachement and interpersonal competence had significant effects on college students' psychological well-being. Results also depicted gender differences in the relationship of study variables; students' interpersonal competence demonstrated partial mediation effect in the relation of attachment with the same-sex parent and psychological well-being, while complete mediation effect in that of attachment with the opposite-sex parent and psychological well-being, These findings suggest that gender-conscious university policies to promote interpersonal competence among students are greatly needed to ensure psychological well-being of the student population.

A Study on the Correlation between Service Nature by Service Industry and Job Performance: Focusing on Demographic Characteristics (서비스산업별 서비스본질과 직무성과와의 영향 관계 연구: 인구통계학적 특성을 중심으로)

  • Miyoung Byun;Hyunsoo Kim
    • Journal of Service Research and Studies
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    • v.10 no.4
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    • pp.1-19
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    • 2020
  • It is very important to explore new management theories that are better in line with the modern service economy era in order to cement the foundation of the service industry in this rapidly changing business environment. This study examined the relationship between service essentials and job performance by service industry, and verified and discussed in depth whether there is difference between service essentials and job performance by demographic characteristics. The results of this study are as follows: First, an analysis of the effect of service essentials on job performance found the interaction, horizontality and harmony of service essentials had positive effects on performance, but the relationship didn't. Next, an analysis of the effect of service essentials on job performance by representative service industry showed that in the transportation industry, interaction and harmony had positive effects on performance, but relationship and horizontality didn't affect performance. In the financial and insurance industries, horizontality and interaction had positive effects on performance, but harmony and relationship didn't affect performance. Accommodation and food industries, interaction, horizontality and harmony had positive effects on performance, but relationship didn't affect performance. In the medical and health industries, interaction and horizontality had positive effects on performance, but relationship and harmony didn't affect performance. In terms of demographic characteristics, in the financial and insurance industries, interaction and harmony showed a significant difference by age, but only horizontality showed a difference by the number of years of service. In the accommodation and food industries, only horizontality showed a difference depending on the number of years of service. In the medical and health industries, relationship, horizontality and harmony showed a difference depending on the number of years of service, but only horizontality showed a significant difference by marital status. In the future, comparative national studies are needed for all industrial groups.

Navigable Space-Relation Model for Indoor Space Analysis (실내 공간 분석을 위한 보행 공간관계 모델)

  • Lee, Seul-Ji;Lee, Ji-Yeong
    • Spatial Information Research
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    • v.19 no.5
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    • pp.75-86
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    • 2011
  • Three-dimensional modeling of cities in the real-world is an essential task for city planning and decision-making. And many three-dimensional city models are being developed with the development of wireless Internet and location-based services that identify the location of users and provide the information increases for consumers. Especially, in case of urban areas of Korea, indoor space modeling as well as outdoor is needed due to the high-rise buildings densities. Also location-based services should be provided through spatial analysis such as the shortest path based on a space model. Many studies of three-dimensional city models are feature models. In a feature model, space is represented by combining primitives, and relationships among spaces are represented only if shared primitives are detected. So relationships between complex three-dimensional objects in space is difficult to be defined through the feature models. In this study, Navigable space-relation model(NSRM) is developed, which is topological data model for efficient representation of spatial relationships between objects based on the network structure.

Uncertainty Analysis of Stage-Discharge Curve Based on Bayesian Regression Model Coupled with Change-Point Analysis (Bayesian 회귀분석과 변동점 분석을 이용한 수위-유량 관계곡선 불확실성 분석)

  • Kwon, Hyun-Han;Kim, Jang-Gyeong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.364-364
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    • 2012
  • 수자원 연구의 주요 목적인 효과적인 홍수 및 가뭄관리를 하기 위해서는 그 연구의 기초가 되는 자료를 관측하고 정도(accuracy, 精度)를 향상시키는 연구 또한 매우 중요한 부분이라고 볼 수 있다. 이러한 점에서 수위-유량측정의 경우, 관측자의 숙련도와 계측기 오차에 따라 관측값에 미치는 영향이 큰 특징을 갖고 있어 유량측정의 정확성을 높이고자 진보된 계측기의 개발 및 분석 방법에 관한 연구는 꾸준히 진행되고 있다. 일반적으로 유량을 추정하기 위해서 특정 단면에서의 수위를 측정하여 이를 수위-유량 관계곡선을 통해서 유량으로 환산하고, 수위-유량 관계를 측정한 후 이를 회귀분석 방법으로 내삽 및 외삽을 실시하여 유량을 측정하게 된다. 그러나 수위-유량 관계곡선에서 저수위와 고수위를 하나의 곡선식으로 하게 되는 경우 정도가 낮아지게 되므로 많은 경우에 있어서 저수위, 고수위를 각각의 곡선으로 구하여 사용하고 있다. 문제는 이러한 경우 정량적으로 변곡점을 구하기보다는 경험적으로 저수위와 고수위를 구분하고 있으며, 수위-유량관계를 회귀식에 의해서 추정하게 되므로 이에 대한 불확실성이 발생하게 된다. 따라서 본 연구에서는 불확실성을 정량화시키기 위한 방법으로 Bayesian MCMC 기법을 활용하며 수위-유량 관계곡선식의 매개변수들의 사후분포를 추정하여 매개변수의 최적화 및 불확실성을 평가하였다. 앞서 언급되었듯이 저수위 및 고수위로 분리하여 수위-유량 곡선식을 도출하고 있으나 저수위 및 고수위를 분리하는 기준이 경험적이기 때문에 신뢰성이 저해되는 문제점이 발생한다. 본 연구에서는 수위-유량 곡선식의 매개변수들을 최적화 하는 동시에 Poisson 분포 기반의 변동점 분석이 연동되어 저수위 및 고수위를 분리할 수 있는 Bayesian 기반 통합 수위-유량 곡선 해석 방법을 개발하고자 한다.

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A Study on the Interregional Relationship of Housing Purchase Price Volatility (지역간 주택매매가격 변동성의 상관관계에 관한 연구)

  • Yoo, Han-Soo
    • Korean Business Review
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    • v.20 no.2
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    • pp.15-27
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    • 2007
  • This paper analyzed the relationship between Housing Purchase Price volatility of Seoul and Housing Purchase Price volatility of local large city. Other studies investigates the effect on the observed volatility Observed volatility consists of fundamental volatility and transitory volatility. Fundamental volatility is caused by information arrival and transitory volatility is caused by noise trading. Fundamental volatility is trend component and is modelled as a random walk with drift. Transitory volatility is cyclical component and is modelled as a stationary process. In contrast to other studies, this study investigates the effect on the fundamental volatility and transitory volatility individually. Observed volatility is estimated by GJR GARCH(1,1) model. We find that GJH GARCH model is superior to GARCH model and good news is more remarkable effect on volatility than bad news. This study decomposes the observed volatility into fundamental volatility and transitory volatility using Kalman filtering method. The findings in this paper is as follows. The correlation between Seoul housing price volatility and Busan housing price volatility is high. But, the correlation between Seoul and Daejeon is low. And the correlation between Daejeon and Busan is low. As a distinguishing feature, the correlation between fundamental volatilities is high in the case of all pairs. But, the correlation between transitory volatilities turns out low. The reason is as follows. When economic information arrives, Seoul, Daejeon, and Busan housing markets, all together, are affected by this information.

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