• 복식
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• 제54권3호
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• pp.73-85
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• 2004

The purpose of this study was to investigate the characteristic and sensibility of Japanism fashion designs which represented by Japanese designers and Western designers. The stimulus were 29 pictures of contemporary fashion designs which represented the Japanism style fashion designs from fashion collections. The data were analyzed by Cluster analysis, Factor analysis, Multidimensional Scaling Method and Regression Analysis. The specific objectives were as follows ; 1) As result of design analysis, Japanism fashion sensibility is unique and good-looking. 2) As result of the factor analysis. 4 factors which are Attractiveness, Attention, Maturity and Hardness and softness. 3) According to sensibility positioning, The Japanism fashion design was classified by Decorative-Simple, Hard-Soft. 4) As result of the Regression Analysis, The preference of Japanism fashion design was related to attractive factor. 5) As result of the Regression Analysis. The buying desirable of Japanism fashion design was related to attractive, attentive and mature factor.

• Perspectives in Nursing Science
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• 제16권1호
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• pp.12-24
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• 2019

Purpose: This study examined the suitability of using text network analysis (TNA) methodology for topic analysis of academic papers related to nursing. Methods: TNA background theories, software programs, and research processes have been described in this paper. Additionally, the research methodology that applied TNA to the topic analysis of the academic nursing papers was analyzed. Results: As background theories for the study, we explained information theory, word co-occurrence analysis, graph theory, network theory, and social network analysis. The TNA procedure was described as follows: 1) collection of academic articles, 2) text extraction, 3) preprocessing, 4) generation of word co-occurrence matrices, 5) social network analysis, and 6) interpretation and discussion. Conclusion: TNA using author-keywords has several advantages. It can utilize recognized terms such as MeSH headings or terms chosen by professionals, and it saves time and effort. Additionally, the study emphasizes the necessity of developing a sophisticated research design that explores nursing research trends in a multidimensional method by applying TNA methodology.

• Journal of information and communication convergence engineering
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• 제16권1호
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• pp.52-59
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• 2018

Odoo is an enterprise resource planning information system providing modules to support the basic business function in companies. This research will look into the development of an additional module at Odoo. This module is a data mining module using Market Basket Analysis (MBA) using FP-Growth algorithm in managing OLTP of sales transaction to be useful information for users to improve the analysis of company business strategy. The FP-Growth algorithm used in the application was able to produce multidimensional association rules. The company will know more about their sales and customers' buying habits. Performing sales trend analysis will give a valuable insight into the inner-workings of the business. The testing of the module is using the data from X Supermarket. The final result of this module is generated from a data mining process in the form of association rule. The rule is presented in narrative and graphical form to be understood easier.

• 한국의류산업학회지
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• 제4권1호
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• pp.11-18
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• 2002

The purpose of this study was to investigate the characteristic and composition factor of Japanese costume design. The stimulus were 25 contemporary costume design which represented the traditional image of Japanese. The main survey of questionary consisted of their evaluation of the Japanese costume image by 26 semantic differential bipolar scales and the subjects were 99 female students majoring in clothing and textiles. The data were analyzed by Factor analysis, Multidimensional Scaling Method and Regression Analysis. The major findings were as follows. As a result of design analysis, contemporary Japanese costume design which represented the traditional image had traditional form, color, texture, pattern, etc. Through factor analysis about Japanese costume image 7 factors were identified; Attractiveness, Attention, Cool and warm, Neatness, Activeness, Maturity, Classics. According to image positioning, Japanese costume design was classified by simple-decorative, soft-hard. As the result of regression analysis, The preference of Japanese costume image was related to attractive factor.

• 임상간호연구
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• 제23권1호
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• pp.9-19
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• 2017

Purpose: This study aimed to identify multidimensional factors influencing burnout in intensive care unit(ICU) nurses. Methods: A descriptive cross-sectional design was used. Data were collected during February 2016 from a convenience sample of 222 tertiary hospital ICU nurses and analyzed using t-test, ANOVA, correlation analysis, and multiple regression analysis. Results: Burnout correlated positively with compassion fatigue (CF)(r=.37, p<.001), and negatively with compassion satisfaction (CS)(r=-.66, p<.001). The regression model explained 57% of the variance in burnout. For individual characteristics in the model, perceived health status (${\beta}=-.27$, p<.001) and gender (${\beta}=.14$, p=.028) were the most influential factors for ICU nurses' burnout. In the model with added work-related characteristics, nursing environment (${\beta}=-.22$, p=.001), perceived health status (${\beta}= -.20$, p=.001), and satisfaction with department (${\beta}=-.19$, p=.007) were the most influential factors. Finally, for the model with psychological characteristics added, CS (${\beta}=-.56$, p<.001) and CF (${\beta}=.35$, p<.001) were the most influential factors. Conclusion: Results reveal that most ICU nurses have a moderate level of CF and a moderate to high level of CS and burnout, and that individual, work-related and psychological factors are relevant in ICU nurses' burnout. Programs or interventions to reduce burnout should be developed taking into account these multidimensional factors.

• 한국학교ㆍ지역보건교육학회지
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• 제9권1호
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• pp.99-113
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• 2008

Background: School is a primary health education setting for students and the related continuous support should be provided to renovate school health education curriculum consistent to socio-cultural changes in Korean society. Objectives: This study was conducted to identify the principals' and teachers' needs and perceptions of health education topics for high school students and to analyze their conceptual map for health education curriculum in Korean high school. Methods: The sample size of the preliminary survey was 77 and that of the main survey was 276 who successfully participated in the survey among the high school teachers selected from the stratified sampling over Korea. The self-administered mailing survey was conducted to identify the factor structure of the health education topics and to analyze the conceptual properties with exploratory factor analysis and multidimensional scaling analysis in SPSS 12.0. Results: A total of 31 health education topics were generated from the preliminary survey. The five factors were determined: 'health promotion behavior and management', 'injury and sexual harassment prevention', 'bulling and aggression prevention', 'public regularity and safety perception' and 'smoking and drinking prevention'. The mean score of health education needs was between medium to high and 'public regularity and safety perception' had the highest score of education need. The two-dimensional cooperates were generated for the 31 health education topics and the two dimensional properties which divided the conceptual space were 'disease-injury' for one and 'public/environmental/individual/personal' for the other. Conclusions: Health education curriculum and its textbook should be developed considering teachers' needs and field environments for health education in every school. Therefore developing field-based health education curriculum and the textbooks should be the essential key to realize problem-solving health education for youth in real school fields.

• 정보처리학회논문지B
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• 제16B권4호
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• pp.327-331
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• 2009

퍼지 논리에서 불확실성의 병합은 일반적으로 t-norm 과 t-conorm 같은 연산자에 의해 수행된다. 그러나 기존의 병합 연산자는 다음과 같은 단점을 가지고 있다 : 첫째, 그들은 상황에 독립적이다. 결과적으로 동적 병합 과정에 적절히 적용하기 어렵다. 둘째, 의사결정 과정에의 직관적 연결성을 제공하지 못한다. 이러한 문제점을 해결하기 위해 의사결정 과정에서 옵션들의 강점 정도를 반영해 주는 퍼지 다차원 의사결정분석에 기반을 둔 $\varepsilon$-AMDA 알고리즘을 제안한다. $\varepsilon$-AMDA 알고리즘은 옵션의 강점 정도를 나타내 주는 매개변수의 값에 따라 최소값(옵션의 최약점)과 최대값(옵션의 최강점) 사이에서 적응적인 병합 결과를 생성한다. 이러한 관점에서 이는 동적 병합에 적용될 수 있다. 또한, 의사결정을 위한 퍼지 다차원 의사결정 분석에 대한 메커니즘을 제공하고 의사결정 과정에의 직관적 연결성을 제공한다. 결과적으로 제안된 방법은 의사결정자가 옵션의 강점 정도에 따라 적절한 의사결정을 하도록 지원할 수 있다.

• 한국건축시공학회지
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• 제11권3호
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• pp.319-325
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• 2011

건설공사는 수많은 자원 중 상당부분이 자재공급업체에서 제공하는 자재의 원활한 공급에 따라 작업의 원활성이 결정된다. 자재를 적기에 조달하고 배분하는 결과에 따라 작업이 순조롭게 진행되고 궁극적으로 소기의 공사기간 내에 공사를 완료할 수 있다. 본 연구는 데이터 웨어하우스 기술을 활용하여 건설공사에서 중요한 자재관리에 활용할 수 있는 방법을 제시하였다. 건설공사의 자재관리를 위해 필요한 자재리드타임, 자재조달비율, 자재설치비율 등에 대한 정보를 다차원적으로 분석하고 KPI를 설정하여 의사결정 정보로 활용할 수 있도록 하였다. 궁극적으로 본 연구는 건설공사의 운영계 시스템에서 발생하는 수많은 자재관련 데이터들을 효과적으로 활용하는 방법을 제시하였다. 즉, 주제 중심적이고 통합적인 데이터를 제공할 수 있는 데이터 웨어하우스 기술을 활용하여 체계적인 자재관리 정보를 제공할 수 있도록 하였다.

• Ocean and Polar Research
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• 제33권2호
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• pp.99-111
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• 2011

To estimate the effects of limitation nutrients for phytoplankton growth and its influences on short-term variations of a winter phytoplankton community structure, we investigated the abiotic and biotic factors of surface and bottom waters at 20 stations of inner and offshore areas from 6 to 7 February in Gwangyang Bay, Korea. Also, several algal bio-assay studies were conducted to identify any additional nutrient effects on phytoplankton assemblage using surface water for the assay. The dominant species in the bay was diatom Skeletonema costatum, which occupied more than 70% of total species in most stations (St.1-16) of the inner bay. According to a cluster and multidimensional scaling (MDS) analysis based on phytoplankton community data from each station, the bay was divided into three groups. The first group included stations from the south-western parts of Myodo lsland, which can be characterized as a semien-closed eutrophic area with high phytoplankton abundance. The second group included most stations from the north-eastern part of Myodo lsland, influenced indirectly by surface water currents from offshore of the bay. The standing phytoplankton crops were lower than those of the first group. The other cluster was restricted to samples collected from offshore of the bay. In the bay, silicon (Si) and phosphorus (P) were not a major limiting factor for phytoplankton production. However, since the DIN: DIP and DSi: DIN ratios clearly demonstrated that there were potential stoichiometric N limitations, nitrogen (N) was considered as a limiting factor. Based on the algal bio-assay, in vivo fluorescence values in N (+) added experiments were higher compared to control and P added experiments. Our results suggested that nitrogen may act as one of the most important factors in controlling primary production during winter in Gwangyang Bay.

• 한국치위생학회지
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• 제16권2호
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• pp.225-231
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• 2016

Objectives: The purpose of this study was to investigate the influential factors of stress and fatigue on peridontal indicators in patients with periodontal disease. Methods: A self-administrated questionnaire study was conducted during November 2012 to January 2013 with 140 periodontal patients. The Fatigue and Stress were evaluated with Multidimensional Fatigue Scale(MFS) and Psychosocial Well-bing Index(PWI). Periodontal health indicators were consisted with gingival index and pocket depth. Data were analyzed by descriptive analysis, t-test, ANOVA, and multiple regression analysis. Results: Overall stress and fatigue level of subjects were $22.61{\pm}5.62$ and $64.67{\pm}9.45$. Gingival index and periodontal pocket depth as periodontal health indicators were $1.26{\pm}0.3$ and $4.29{\pm}0.52$. The influential factors of gingival index and periodontal pocket depth were social function(subcategory of pwi) and depression(subcategory of pwi), respectively. Conclusions: Some subcategories of PWI were related with periodontal health indicators. So, consideration of stress related with depression and social function are needed to manage and prevent periodontal disease.