• Title/Summary/Keyword: study trends

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

  • Lee, Dal A;Kim, Chan Ho
    • Journal of the Korea Fashion and Costume Design Association
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    • v.24 no.3
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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.

Capturing research trends in structural health monitoring using bibliometric analysis

  • Yeom, Jaesun;Jeong, Seunghoo;Woo, Han-Gyun;Sim, Sung-Han
    • Smart Structures and Systems
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    • v.29 no.2
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    • pp.361-374
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    • 2022
  • As civil infrastructure has continued to age worldwide, its structural integrity has been threatened owing to material deteriorations and continual loadings from the external environment. Structural Health Monitoring (SHM) has emerged as a cost-efficient method for ensuring structural safety and durability. As SHM research has gradually addressed an increasing number of structure-related problems, it has become difficult to understand the changing research topic trends. Although previous review papers have analyzed research trends on specific SHM topics, these studies have faced challenges in providing (1) consistent insights regarding macroscopic SHM research trends, (2) empirical evidence for research topic changes in overall SHM fields, and (3) methodological validations for the insights. To overcome these challenges, this study proposes a framework tailored to capturing the trends of research topics in SHM through a bibliometric and network analysis. The framework is applied to track SHM research topics over 15 years by identifying both quantitative and relational changes in the author keywords provided from representative SHM journals. The results of this study confirm that overall SHM research has become diversified and multi-disciplinary. Especially, the rapidly growing research topics are tightly related to applying machine learning and computer vision techniques to solve SHM-related issues. In addition, the research topic network indicates that damage detection and vibration control have been both steadily and actively studied in SHM research.

Trends in Cigarette Use Behaviors Among Adolescents by Region in Korea

  • Hong, Nam Soo;Kim, Keon-Yeop;Park, Soon-Woo;Kim, Jong-Yeon;Bae, Ji-Suk;Lee, Won-Kee;Kim, Ki-Su
    • Journal of Preventive Medicine and Public Health
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    • v.44 no.4
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    • pp.176-184
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    • 2011
  • Objectives: Understanding recent trends in cigarette smoking among adolescents is important in order to develop strategies to prevent cigarette smoking. The aim of this study was to compare recent trends in cigarette smoking for adolescents living in rural areas, small towns and metropolitan cities in Korea. Methods: The raw data from the Korea Youth Risk Behavior Web-based Survey (KYRBWS) from 2005 to 2009 were used. Data were analyzed by using the method of complex survey data analysis considering complex sampling design. Logistic regression models were used to evaluate significant linear time trends in cigarette smoking. The indicators of cigarette use behaviors were 'current smoking rate', 'frequent smoking rate', 'heavy smoking rate' and 'smoking experience rate before 13 years of age'. All analyses were conducted according to gender. Results: Statistically significant increasing trends in current smoking rate and frequent smoking rate were observed and borderline significant increasing trends in heavy smoking rate were shown among rural boys. Among metropolitan city boys, statistically significant increasing trends were also seen for frequent smoking. Statistically significant decreasing trends in current smoking rate were observed among small town and metropolitan city girls. Smoking experience rate before 13 years of age for rural girls decreased significantly. Conclusions: Cigarette smoking prevalence among adolescents in the rural areas has increased in the last five years especially among boys. Our findings suggest that anti-tobacco program for adolescents should be conducted primarily for those in rural areas.

Exploring Fashion Trends Using Network Analysis (사회연결망 분석을 활용한 패션 트렌드 고찰)

  • Park, Jisoo;Lee, Yuri
    • Journal of the Korean Society of Clothing and Textiles
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    • v.38 no.5
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    • pp.611-626
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    • 2014
  • Reading and foreseeing fashion trends is crucial and difficult in the fashion industry due to accelerated and diversified changes in fashion trends. We use network analysis to investigate fashion trends from 2004 to 2013 in order to find the inter-relevance among fashion trends. We extracted words from fashion trend info for women's wear provided by Samsung Design Net, created a 2-mode network of seasons and trend languages, and visualized this network using NodeXl program. Fashion trends repeated a unique pattern during the period. In the first half (2004-2008), retro modern, feminine modern, and ecological modern were dominant trends in consecutive order. The years 2009-2013 witnessed distinctive fashion trends in S/S seasons and in F/W seasons. 11F/W, 12F/W and 13F/W seasons were characterized by artistic creative style. From 2010, natural style dominated S/S seasons. 10S/S and 12S/S seasons were distinguished as a calm natural style that reflected a peaceful and simple life. In 11S/S and 13S/S seasons, soft natural style emerged as a sign of increased importance of inner spirit and natural energy. A seasonal reappearance of trends was observed every two years in S/S seasons that enabled the prediction that 14S/S will see another version of natural style. A macroscopic trend for the last 10 years was represented by the keywords 'modern' and 'natural'. 'Modern' involved the past styles such as 60's, Baroque and the origin of human life. 'Natural' was connected with design elements such as material, silhouette and color. Managerial implications and future study directions are discussed based on the results.

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

  • An, Eun-Seong
    • Health Policy and Management
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    • v.29 no.2
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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.

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

  • Kang, Hyunkyu;Park, Yongjun;Park, Jaehun
    • Journal of Korean Society for Quality Management
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    • v.46 no.2
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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.

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

  • Lee, Eun-Sook
    • Journal of the Korea Fashion and Costume Design Association
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    • v.10 no.1
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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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A Study on the Changes in the Make-up Color and Texture by the Type of Make-up Image Shown in the Beauty Trends (뷰티 트랜드에 따른 화장 이미지 유형별 화장색채와 질감 변화 분석)

  • Kim, Myoung-Lee;Lee, Kyung-Hee
    • Fashion & Textile Research Journal
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    • v.13 no.3
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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.

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

  • Kim, Dae-Gun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.4
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    • pp.197-206
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    • 2019
  • The purpose of this study is to identify trends of academic research on senior employment projects. For this aim, research results were collected from keyword searches utilizing academic search engines, and a total of 133 research studies were selected as analysis subjects. Then, we analyzed research trends such as sources, research themes, research methods, and research subjects using the content analysis method,. According to the results, the leading type of senior employment research was quantitative research that confirmed the effects of projects by targeting the elderly participants. On the other hand, there were relatively few cases in which philosophical and ethical reviews were used to understand the labor and social roles of the elderly in connection with senior employment projects. Based on these research trends, this study criticized the situation where not only a variety of main participants but also the elderly taking part in the senior employment project were excluded from the main concern of research and suggested that it was necessary for follow-up studies to emerge from these trends.

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