• Title/Summary/Keyword: time-trends

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Characteristics and Trends of Tropical Night Occurrence in South Korea for Recent 50 Years (1958-2007) (우리나라에서 최근 50년 (1958-2007)간 열대야 발생 특성 및 변화 경향)

  • Park, Woo-Sun;Suh, Myoung-Seok
    • Atmosphere
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    • v.21 no.4
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    • pp.361-371
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    • 2011
  • In this study, characteristics and trends of tropical night (TN) are investigated by using the KMA 14 observation data for the recent 50 years (1958-2007) over South Korea. The TN is defined as a day with a daily minimum temperature exceeds the absolute threshold temperature ($25^{\circ}C$), and the relative deviation from normal temperature, 95th percentile of all observed daily minimum temperature. Although the spatial distribution of TN occurrence depends on the choice of the definitions, the frequency of TN shows strong spatial and interannual variations with the minimum at high land area (Chupungnyeong and wet years) and maximum at southern coastal area and large city area (Jeju, Busan, Seoul, Daegu). Most of TN occurs in August (56%) and July (41%), and the duration date of TN is proportional to the frequency of TN without regard to the definition method. In general, increasing trends are found in the TN time series without regard to the analysis method, but the trends are clearly depending on the analysis period and geographic locations. Decreasing trends are prominent during the most of analysis period, especially until the mid of 1990, whereas strong increasing trends are found during recent 30 years (1988-2007), especially at Jeju, Ulsan, Daegu and Pohang. Also the severity of TN is significantly increased in recent years.

Acceptance Level of Forecasted Fashion Trends by National Brand Casual Wear in the Late of 1990s

  • Lee, Woon-Hyun;Hwang, Choon-Sup
    • The International Journal of Costume Culture
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    • v.4 no.3
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    • pp.229-240
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    • 2001
  • The purpose of the present study was to analyze the acceptance level of forecasted information of casual wear in tate 1990s in Korea and the way of utilizing fashion trends information by casual wear industries. The Present study was implemented by content analysis and descriptive survey using questionnaire and interview. Trends information in fashion journals published by fashion institute and articles in daily newspapers were analyzed in terms of fashion image, color, fabric, and silhouette. The data collected from questionnaire and interview with 113 fashion specialists were analyzed through frequency, percentage. The results indicated that among the forecasted information regarding fashion image, romantic and feminine images showed a high level of acceptance to national brand women's casual wear in the late 1990s, while mannish image showed a low level of acceptance. For men's casual wear in the same time period, androgynous trends appeared most frequently, not only in forecasted information, but also in actual trend. it was forecasted that yellow, white, and gray would be in trend and those colors appeared frequently in actual trend. On the other hand pastel tone appeared much more frequently than forecasted. Natural, thin - transparent (S/S) and stretch fabrics (F/W) were in actual trend as it was forecasted. Fit and Pare (woman), and long and slim (man) silhouettes were in actual trend as if was forecasted, but barrel silhouette appeared only in forecasted information. Most of the information forecasting fashion trends for next season were applied to the product planning of the season, right after the information comes out.

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Analysis of Trends in Science and Technology using Keyword Network Analysis (키워드 네트워크 분석을 활용한 과학기술동향 분석)

  • Park, Ju Seop;Kim, Na Rang;Han, Eun Jung
    • Journal of Korea Society of Industrial Information Systems
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    • v.23 no.2
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    • pp.63-73
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    • 2018
  • Academia and research institutes mainly use qualitative methods that rely on expert judgments to understand and predict research trends and science and technology trends. Since such a technique has the disadvantage of requiring much time and money, in this study, science and technology trends were predicted using keyword network analysis. To that end, 13,618 AI (Artificial Intelligence) patent abstracts were analyzed using keyword network analysis in three separate lots based on the period of the submission of each abstract: analysis period 1 (January 1, 2002 - December 31, 2006), analysis period 2 (January 1, 2007 - December 31, 2011), and analysis period 3 (January 1, 2012 - December 31, 2016). According to the results of frequency analyses, keywords related to methods in the field of AI application appeared more frequently as time passed from analysis period 1 to analysis period 3. In keyword network analyses, the connectivity between keywords related to methods in the field of AI application and other keywords increased over time. In addition, when the connected keywords that showed increasing or decreasing trends during the entire analysis period were analyzed, it could be seen that the connectivity to methods and management in the field of AI application was strengthened while the connectivity to the field of basic science and technology was weakened. According to analysis of keyword connection centrality, the centrality value of the field of AI application increased over time. According to analysis of keyword mediation centrality during analysis period 3, keywords related to methodologies in the field of AI application showed the highest mediation value. Therefore, it is expected that methods in the field of AI application will play the role of powerful intermediaries in AI hereafter. The technique presented in this paper can be employed in the excavation of tasks related to regional innovation or in fields such as social issue visualization.

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.

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

A Study on Recent Trends of Health Services Research in Korea (최근 우리나라 보건관리 연구의 경향 분석)

  • 최용준
    • Health Policy and Management
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    • v.11 no.4
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    • pp.129-151
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    • 2001
  • This study was conducted to describe trends of health services research (HSR) in Korea since 1968 and analyse the relevance of HSR to changes in health policy. Research methods are as follows: firstly, HSR articles were selected from 4 HSR related journals implicitly. Secondly, classification system of HSR was developed and then applied to previously selected papers in order to describe research trends. Finally, the frequency rankings of articles in research areas were compared with rankings in order of the importance of research area rated by experts. As a resesult, HSR articles have increased with time and three main research areas are health programme, health care financing, and health care organization/management. And many articles have been related to the efficiency and quality of health care since 1990. It seems HSR articles had little relevance to changes in health policy and policy environment. Especially, the recently disputed policy topic, namely the separation of prescription from disposing, has not received little attention since 1990. These findings suggest there is an urgent need for the reflection on HSR direction in Korea.

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Topics and Trends in Metadata Research

  • Oh, Jung Sun;Park, Ok Nam
    • Journal of Information Science Theory and Practice
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    • v.6 no.4
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    • pp.39-53
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    • 2018
  • While the body of research on metadata has grown substantially, there has been a lack of systematic analysis of the field of metadata. In this study, we attempt to fill this gap by examining metadata literature spanning the past 20 years. With the combination of a text mining technique, topic modeling, and network analysis, we analyzed 2,713 scholarly papers on metadata published between 1995 and 2014 and identified main topics and trends in metadata research. As the result of topic modeling, 20 topics were discovered and, among those, the most prominent topics were reviewed in detail. In addition, the changes over time in the topic composition, in terms of both the relative topic proportions and the structure of topic networks, were traced to find past and emerging trends in research. The results show that a number of core themes in metadata research have been established over the past decades and the field has advanced, embracing and responding to the dynamic changes in information environments as well as new developments in the professional field.

Exploration of Hydrogen Research Trends through Social Network Analysis (연구 논문 네트워크 분석을 이용한 수소 연구 동향)

  • KIM, HYEA-KYEONG;CHOI, ILYOUNG
    • Transactions of the Korean hydrogen and new energy society
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    • v.33 no.4
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    • pp.318-329
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    • 2022
  • This study analyzed keyword networks and Author's Affiliation networks of hydrogen-related papers published in Korea Citation Index (KCI) journals from 2016 to 2020. The study investigated co-occurrence patterns of institutions over time to examine collaboration trends of hydrogen scholars. The study also conducted frequency analysis of keyword networks to identify key topics and visualized keyword networks to explore topic trends. The result showed Collaborative research between institutions has not yet been extensively expanded. However, collaboration trends were much more pronounced with local universities. Keyword network analysis exhibited continuing diversification of topics in hydrogen research of Korea. In addition centrality analysis found hydrogen research mostly deals with multi-disciplinary and complex aspects like hydrogen production, transportation, and public policy.

Assessing the Public's Interest in Orofacial Pain Specialists: A Google Trends Analysis

  • Jack Botros;Mariela Padilla
    • Journal of Oral Medicine and Pain
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    • v.48 no.4
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    • pp.137-143
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    • 2023
  • Purpose: To assess Google Trends (GT) search behavior regarding orofacial pain (OFP) and headaches. Methods: GT scores for OFP and headache specialists between February 2013 and December 2022 were analyzed. Statistical tests such as Poisson regression analyses, mean differences, and Cohen's D were used to assess the score change over time. Results: The top three search words for OFP specialists were "temporomandibular joint (TMJ) specialist," "TMJ doctor," and "TMJ dentist," whereas the top three search words for headache specialists were "Headache specialist," "Headache doctor," and "Migraine specialist." Here, TMJ is temporomandibular joint. The GT scores for OFP specialists increased significantly (p<0.05) for all years except 2017, with the highest mean difference in 2020. The scores for headache specialists showed similar trends but gradually. Conclusions: The interest in OFP and headache specialists expressed by Google searches has increased over the years. More awareness is needed regarding the OFP scope of practice, and the use of GT may serve as an indicator.

Effects of Product and Situation on Internet Browsing Behavior for Fashion Products (의류 제품특성, 상황특성이 소비자의 인티넷 탐색 행동에 미치는 영향)

  • Shim, Soo-In;Jang, Se-Jung;Lee, Yu-Ri
    • Journal of the Korean Society of Clothing and Textiles
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    • v.32 no.7
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    • pp.1046-1055
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    • 2008
  • The purpose of this study is to investigate the effects of product variables(i.e., fashionability, brand fame) and situational variables(i.e., time constraint, usage occasion) on the internet browsing behavior (i.e., prepurchase search; ongoing search for products, stores, fashion trends, promotions, and post-purchasing information) for fashion products. This study developed hypothetical scenarios based on the factorial design of the two independent variables for the survey with a questionnaire. All items in the questionnaire were measured on a six-point scale. By convenience sampling and on-line survey, a total of 209 usable responses were used for further analyses. The results show as follows; firstly, respondents more intensively browse for information search on products, stores and fashion trends when the style of browsing products is trendy. Secondly, whether the fashion products have a famous brand name or not has a significant influence on browsing behavior for stores and fashion trends information search. Thirdly, time constraint is found to influence significantly on respondents' browsing for promotions information search. Lastly, occasion for product worn shows a significant influence on browsing behavior for stores and fashion trends information search. The managerial implications are provided based on findings.