• 제목/요약/키워드: Trends of study

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대중스타의 패션 트렌드에 관한 연구 (A Study on the Fashion Trends of a Popular Star)

  • 이은숙
    • 한국의상디자인학회지
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    • 제10권1호
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    • pp.69-78
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    • 2008
  • A new coinage which calls a modern was appeared variously by values, taste, feature of lifestyle and the meaning of a new coinage has influence in the change of lifestyle. Particularly a popular star is a person who situates in the center of a new coinage, his role, behavior, and appearance have great influence in the birth of a new coinage. He is a fashion leader as well as the object of fashion imitation to the new generation being sensitive for fashion. As his fashion is appeared with important fashion icon in fashion market, fashion companies have developed actively star marketing marking him as an advertising model. Therefore, because the fashion trends of a popular star introduce season's fashion trends and can be important factor forecasting fashion behavior of consumer, this study aims at analysis for fashion trends of a popular star including a public entertainer. The dates of this study were collected by TV drama, internet, and magazines, etc. The fashion trends were divided into feminine fashion trend, sexy fashion trend, tomboy fashion trend, and retro fashion trend. Feminine fashion trend was based on feminity but it was classified in masculine look, simple look, chic look, and natural & romantic look according to the standard of a transformation of feminine image. Sexy fashion trend was divided into two sexy images according to the method wrapping oneself in a dress and the method exposing a specific body part. Tomboy fashion trend could be the immature boyish style which concealed bust or hip or pelvis symbolizing feminity. Retro fashion trend could be style being based on 1980's style and Y line. Fashion items as leggings, baby doll dress, tunic style, dot pattern, garsonne look were come into fashion.

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포스트코로나 뉴노멀 시대의 ESG 실천 방안으로서의 지속가능한 패션경향 및 디자인 방향성 연구 (A Case Studies on the Sustainable Fashion Trend and Design as ESG Practice in the Post-Corona New Normal Period)

  • 이달아;김찬호
    • 한국의상디자인학회지
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    • 제24권3호
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    • pp.169-184
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    • 2022
  • This study aims to discuss sustainable fashion trends and sustainable design directions that fashion companies are practicing with ESG in the post-corona new normal era. As a research method, this study examined sustainable fashion trends and ESG practices through empirical case studies focusing on each fashion brand's website, including previous research and literature research, using materials such as newspapers and magazines. As for ESG practice plans, they were divided into four categories: technology orientation, design orientation, consumption orientation, and social value pursuit orientation. The sustainable fashion trends were also divided into four categories. First, the trend exhibits cyclical sustainability using pro-environmental materials, such as pro-environmental fibers, recycled fibers, biodegradable fibers. Second, high sensitivity and rare value sustainability were shown using reuse and upcycling. Third, consumption-oriented trends were promoted through slow fashion. Fourth, in order to realize eco-friendly sustainable fashion and ESG as practical ways to pursue social values, there is a trend of integrating sustainability through changes in perception considering people, society, and the environment. Beyond spreading concern about value consumption trends and the environment, it presents a direction for future industries concerning core values with social roles, responsibility, and ethical awareness from various perspectives.

예측으로 본 1995년까지의 패션 경향 -패션의 행동 과학 모델을 중심으로- (FORECAST OF FASHION TO 1995 -Concerning the Behavioral Science Models of Fashion-)

연결망 분석을 활용한 우리나라 금연연구 동향분석 (A Social Network Analysis of Research Key Words Related Smoke Cessation in South Korea)

  • 안은성
    • 보건행정학회지
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    • 제29권2호
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    • pp.138-145
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    • 2019
  • Background: The purpose of this study is supposed to figure out the keyword network from 2009 to 2018 with social network analysis and provide the research data that can help the Korea government's policy making on smoking cessation. Methods: First, frequency analysis on the keyword was performed. After, in this study, I applied three classic centrality measures (degree centrality, betweenness centrality, and eigenvector centrality) with R 3.5.1. Moreover, I visualized the results as the word cloud and keyword network. Results: As a result of network analysis, 'smoking' and 'smoking cessation' were key words with high frequency, high degree centrality, and betweenness centrality. As a result of looking at trends in keyword, many study had been done on the keyword 'secondhand smoke' and 'adolescent' from 2009 to 2013, and 'cigarette graphic warning' and 'electronic cigarette' from 2014 to 2018. Conclusion: This study contributes to understand trends on smoking cessation study and seek further study with the keyword network analysis.

S.Freud 꿈분석에 관한 연구동향 -국내학술지 중심- (Research Trends on S.Freud Dream Analysis -Focused on Domestic Academic Journals-)

  • 권혜진;신동열
    • 산업진흥연구
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    • 제8권4호
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    • pp.251-256
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    • 2023
  • 본 연구의 목적은 프로이드의 정신분석 이론을 바탕으로 꿈분석에 관련한 연구가 얼마나 이루어졌는가를 알아 보기 위함이고 꿈의 연구의 필요성과 꿈 연구에 대한 후속 연구를 제언하기 위함이다. 연구방법은 프로이드의 꿈분석에 관한 연구 2019년부터 현재 2023년까지 국내학술지를 중심으로 분석하였다. 그 중에서도 학술연구정보서비스(RISS)와 한국학술지인용색인(KCI)에서 키워드 분류절차를 거쳐 수집하여 정리하였다. 분류범주는 정신분석, 국내학술지, 꿈분석, 꿈해석, 꿈분석 연구동향, 꿈 연구동향 등으로 검색하였고 그 중에서도 특히, 정신분석, 꿈분석, 국내학술지, 연구동향을 중심으로 살펴보았다. 결론은 다음과 같이 도출되었다. 첫째, 국내학술지 내 꿈분석에 관한 연구동향 연구들은 많은 비중을 차지하고 있지는 않았다. 둘째, 꿈분석 키워드 중심 연구동향도 그 비율이 현저하게 낮았다. 셋째, 꿈분석의 활용과 빈도도 적었다. 넷째, 꿈분석을 토대로 한 한국형 검사도구들의 연구가 필요할 것으로 요구된다.

뷰티 트랜드에 따른 화장 이미지 유형별 화장색채와 질감 변화 분석 (A Study on the Changes in the Make-up Color and Texture by the Type of Make-up Image Shown in the Beauty Trends)

  • 김명리;이경희
    • 한국의류산업학회지
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    • 제13권3호
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    • pp.409-417
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    • 2011
  • This study aims to investigate makeup images shown in the beauty trends and analyzes the characteristics of makeup colors depending on the types of facial makeup. This survey's collected data includes a total of 365 makeup colors which have been shown in the beauty trends for the last three years. The pictures and vocabularies shown in such data were analyzed and thus we could have classificatorily six kinds of makeup images. In addition, makeup colors were divided into two subcategories: eye makeup and lip makeup, both of which have the most significant impact on the makeup images. As the results, the types of makeup images shown at beauty trends were classified such as natural image, gorgeous image, elegant image, sophisticate image, and romantic image. If analyzing yearly changes, active, romantic, and elegant images were common in 2008, and natural image displayed a certain strong tendency amid pro-environmental trends in 2009, and gorgeous images were appeared apparently in 2010, while natural image showed a bullish tendency yet. Regarding to color characteristics by makeup images shown at beauty trends, YR color in eye makeup and R in lip makeup looked bullish generally, and a lot of changes were shown in color tones. This fact gives help in grasping fashion colors and color tones of yearly makeups. Based on these results, this study examines makeup colors for expressing makeup images closely, and then suggests that it could be utilized in makeup color planning.

노인일자리사업 연구경향 분석 (An analysis of Trends in Senior Employment Project Research)

  • 김대건
    • 한국산학기술학회논문지
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    • 제20권4호
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    • pp.197-206
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    • 2019
  • 본 연구의 목적은 노인일자리사업을 주제로 하는 학술 연구의 경향을 확인하는 것이다. 이를 위해 학술검색 엔진을 활용한 키워드 검색으로 연구 결과를 수집하여 총 133개 연구를 분석 대상으로 선정하였다. 또한 분석자료의 내용을 비교 검토하는 기술적 연구방법(descriptive study)의 내용분석(content analysis) 방법을 활용하여 각 연구의 출처, 연구 주제, 연구 방법, 연구 대상 등 연구 경향을 분석하였다. 분석결과 노인일자리사업을 연구 주제로 한 학술연구에서 사업 참여노인을 연구 대상으로 하여 사업의 효과를 확인하는 양적 연구가 지금까지 가장 주도적인 연구 유형으로 확인되었다. 반면 노인의 노동이나 사회적 역할 등을 노인일자리사업과 연결하여 이해하려는 철학적 윤리적 검토가 연구로 나타난 경우는 상대적으로 매우 적었다. 본 연구에서는 이 같은 연구 경향에 기반하여 노인일자리사업 내 다양한 참여 주체들뿐만 아니라 사업 참여 노인까지도 연구의 주된 관심사에서 제외된 상황을 비판하고 후속 연구에서는 이 같은 경향에서 탈피할 필요가 있음을 제안하였다.

빅데이터분석기반의 기술주도형 미래 국방무기체계 및 핵심기술 도출 방법연구 (A study on Technology Push-based Future Weapon System and Core Technology Derivation Methodology)

  • 강현규;박용준;박재훈
    • 품질경영학회지
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    • 제46권2호
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    • pp.225-242
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    • 2018
  • Purpose: Recent trends have shown that the usage of big data analysis is becoming the core of identifying promising future technologies and emerging technologies. Accordingly, applying these trends by analyzing defense related data in such sources as journals, articles, and news will provide crucial clues in predicting and identifying core future technologies that can be used to develop creative and unprecedented future weapon systems that could change the warfare. Methods: To identify technology fields that are closely related to the 4th industrial revolution and recent technology development trends, environmental analysis, text mining, and military applicability survey have been included in the process. After the identification of core technologies that are militarily applicable, future weapon systems based on these technologies as well as their operation concepts are suggested. Results: Through the study, 73 important trends, from which 11 mega trends are derived, are identified. These mega trends can be expressed by 13 promising technology fields. From these technology fields, 248 promising future technologies are identified. Afterwards, further assessment is performed, which leads to the selection of 63 core technologies from the pool. These are named as "future defense technologies" which then become the bases for 40 future weapons systems that the military can use. Conclusion: Predicting future technologies using text mining analysis have been attempted by various organizations across the globe, especially in the fields related to the 4th industrial revolution. However, the application of it in the field of defense industry is unprecedented. Therefore, this study is meaningful in that it not only enables the military personnel to see promising future technologies that can be utilized for future weapon system development, but helps one to predict the future defense technologies using the method introduced in the paper.

가정간호학회지 게재 논문 분석: 2010년부터 2019년까지 가정간호분야를 중심으로 (Research Trends in the Journal of Korean Academic Society of Home Health Care Nursing from 2010 to 2019: Using the Keyword Home Health Care)

  • 전은영;노준희
    • 가정∙방문간호학회지
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    • 제27권2호
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    • pp.210-218
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    • 2020
  • Purpose: The purpose of this study was to analyze research trends, using the keyword home health care, in articles published in the Journal of Korean Academic Society of Home Health Care Nursing over the past 10 years. Methods: An analysis was conducted of 50 home health care-based studies chosen from among the 206 studies published in the Journal of Korean Academic Society of Home Health Care Nursing from 2010 to 2019. The analysis focused on research methodology and keyword. Descriptive statistics were used to examine the frequency distribution of research methods and keywords. Results: Study participation was mainly focused on nurses (52.0%). Most of the studies used quantitative methods (96.0%), and 43 studies (86.0%) used self-report structured questionnaires. The most commonly used data analyses methods were descriptive statistics, t-test, analysis of variance, correlation, and regression. Major keywords were home health nursing, elderly care facility, visiting nurse, home care service, home healthcare nurse, home care agencies, long-term care, and home care. Conclusion: The results of this study identified current trends and interests in the Journal of Korean Academic Society of Home Health Care Nursing. This study suggests that future studies include a variety of research methods and maintain appropriate standards of research ethics.

언어 네트워크 분석을 통한 노인 구강 건강 연구 동향 탐구 (Exploring the research trends of elderly oral health through language network analysis)

  • 김윤정
    • 한국치위생학회지
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    • 제23권6호
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    • pp.451-458
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    • 2023
  • Objectives: The purpose of this study is to explore the research trends of elderly oral health through a language network analysis. Methods: A total of 354 published studies with 668 keywords were collected from the Research Information Sharing Service (RISS) between 2000 and 2022. Language network analysis was performed using Textom 6.0, Ucinet 6.774, and NetDraw 2.183. Results: The most frequent keywords were 'elderly', 'oral health', 'quality of life', and 'OHIP-14'. The result of frequency-inverse document frequent keywords showed similar results to the most frequent keywords. The N-gram of keywords shows that 'elderly', 'oral health' (18 times) and 'elderly', 'depression' (7 times). As a results of the analysis of degree centrality and between centrality, 'elderly', 'oral health', and 'quality of life' were found to be high. The CONCOR analysis identified the main clusters of 'quality of life', 'oral health behavior', 'health', and 'oral function disorder'. Conclusions: The results of the current study could be available to know research trends in elderly oral health and it is necessary to improve more comprehensive study in follow-up study.