• 제목/요약/키워드: Future trends

검색결과 2,950건 처리시간 0.031초

Secular trends of body sizes in Korean children and adolescents: from 1965 to 2010

  • Moon, Jin-Soo
    • Clinical and Experimental Pediatrics
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    • 제54권11호
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    • pp.436-442
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    • 2011
  • An anthropometric survey is one of the most important approaches to use when evaluating the health status of children. Secular trends in body sizes, such as height, weight, head circumference, chest circumference, and body mass index showed significant changes over 40 years in Korea. A series of periodic surveys were conducted in 1967, 1975, 1985, 1997, and 2005 by the Korean Pediatric Society and Ministry of Health and Welfare. The quality of data from school health examinations and the Korea National Health and Nutrition Examination Survey has improved, so we can use them now as resources for anthropometric analysis. The final height differences between 1965 and 1997 were 4.5 cm both in boys (168.9 cm in 1965; 173.4 cm in 1997) and girls (155.9 cm in 1965; 160.4 cm in 1997). The differences between 1997 and 2005 were 0.9 cm in boys (174.3cm in 2005) and 0.8 cm in girls (161.2 cm in 2005). There was no difference in final height measurements between 2005 and 2010. An increase in body size at earlier teen ages was pronounced during these decades compared to the previous generation; however, little change has been identified more recently. Body size has been increasing, and obesity has become more prevalent. Systems that gather data should be updated in order to cope with these secular trends. In an upcoming era of secular trends that would be in a slow transition, several surveys that include body measurements should be prepared to meet future needs.

생물교육 연구의 동향- 영국의 Journal of Biological Education의 컴퓨터 분석 (Research Trends on Biological Education An analysis of Journal of Biological Education of England Using a Com puter Program)

  • 안태인
    • 한국과학교육학회지
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    • 제9권1호
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    • pp.69-74
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    • 1989
  • For the advancement of research in biological education in Korea, research trends shown in Journal of Biological Education(JBE)of England were analyzed by using a PC program(REFMENU). Papers Published in JBE between 1977 and 1987 were registered on the program with classifying keys of biological education and biology including names of authors, year, title, volume pages, and key words. Those input-date were analyzed by sorting depend-ing on either the classifying keys or the key words. Among the 361 papers 28.8% was dealing with the theory of science education. The rest dealt with biology and biological education, together. Of the six categories of biological education, the research on biological curriculum was 41 % of total and was the most. The major trends in this category was in developing the content of the curriculum. In the research of biological instruction, 37 papers dealt with the instruction theory and the rest 60 papers dealt with the tactics of Instruction. Of the 60 papers on materials in biological education, the research in developing the biological material was the most. Thus, the general research trend was far more practical aspect than the theoretical aspect of biological education. In the analysis of the papers depending on the biological categories, the one dealt with ecology was the most(26.8%). The rest papers showed almost even distribution in the 13 categories of biology. The results of this analysis was discussed by comparing with the research trends in Korea to suggest the possible future studies.

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빅데이터와 인공지능을 중심으로 한 패션산업의 동향 (Trends of Big Data and Artificial Intelligence in the Fashion Industry)

  • 김지은;이진화
    • 한국의류학회지
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    • 제42권1호
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    • pp.148-158
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    • 2018
  • This study analyzes recent trends in fashion retailing instigated by the fourth industrial revolution and approaches the trends in terms of the convergence of big data and artificial intelligence. The findings are as below. First, companies like 'Edited' and 'Stylumia' offer solutions that support the strategic decisions of fashion brands and fashion retailers by analyzing big data using artificial intelligence. Second, the convergence of big data and artificial intelligence scales personalized service on the web as examples of 'Coded Couture', 'StitchFix', and 'Thread'. Third, the insights gained from artificial intelligence and big data help create new fashion retailing platforms such as 'Botshop' and 'Lyst'. Last, artificial intelligence and big data assist with design. 'Ivyrevel' designs digital fashion, assisted by a macroscopic perspective on fashion trends, market and consumers through the analysis of big data. The Fourth Industrial Revolution brings changes across all industries that will likely accelerate. The fashion industry is also undergoing many changes with advancements in scientific technology. The convergence of big data and artificial intelligence will play a key role in the future of fast-moving industry like fashion, where fickle tastes of consumers are the main drivers.

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.

Archivaria 리뷰를 통한 국외 기록관리학 연구의 동향 분석 (A Study on the Research Trends of Records and Archive Management in North America through the Review of Archivaria)

  • 박희진
    • 한국기록관리학회지
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    • 제14권4호
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    • pp.99-125
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    • 2014
  • 본 연구는 기록관리학 전문학술지인 "Archivaria" 학회지에 발간된 연구논문을 분석하여 북미를 중심으로한 국외 기록관리학 연구의 동향을 살펴보고, 앞으로의 연구방향을 제시하려는 목적으로 수행되었다. 이 연구에서는 2009년부터 2014년까지 최근 5년간 "Archivaria" 학술지에 실린 75편의 논문을 대상으로 정량분석을 통해 연구자별 분포, 주제영역별 키워드 분포를 조사하였다. 내용분석을 통해서는 연구논문의 핵심 키워드들을 추출하고, 이를 바탕으로 기록관리학의 주요 주제영역에 대한 국외 기록관리학 연구의 내용과 특성을 파악하고 우리나라 기록관리학 연구와 비교 분석하였다.

국내 구술사 연구 동향 분석 - 학술지 논문을 중심으로 - (Research Trends of Oral History in Korea: Focusing on Domestic Academic Journals)

  • 이재영;정연경
    • 한국기록관리학회지
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    • 제18권3호
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    • pp.25-47
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    • 2018
  • 본 연구는 1991년부터 현재까지 이루어진 국내 구술사 연구 동향을 분석함으로써 구술사를 둘러싼 연구 지형을 파악하고 향후 구술사 연구의 방향성에 기초자료를 제공하고자 하였다. 이를 위해 한국교육학술정보원의 학술연구정보서비스에서 구술사로 키워드 검색을 시행하여 1991년부터 2018년까지 이루어진 국내 구술사 연구 논문 총 439건을 연구대상으로 선정하였다. 그리고 이를 시기별로 연구 논문 생산량과 주요 학술지, 연구자 및 연구 재원, 연구분야 및 연구 내용, 국제 협력으로 구분하여 국내 구술사 연구 동향을 다각도로 분석하였다. 마지막으로 도출된 연구 결과를 바탕으로 시사점을 정리하고 후속 연구의 방향을 제시하였다.

Variation of Hydro-Meteorological Variables in Korea

  • Nkomozepi, Temba;Chung, Sang-Ok;Kim, Hyun-Ki
    • Current Research on Agriculture and Life Sciences
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    • 제32권3호
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    • pp.135-143
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    • 2014
  • The variability and temporal trends of the annual and seasonal minimum and maximum temperature, rainfall, relative humidity, wind speed, sunshine hours, and runoff were analyzed for 5 major rivers in Korea from 1960 to 2010. A simple regression and non-parametric methods (Mann-Kendall test and Sen's estimator) were used in this study. The analysis results show that the minimum temperature ($T_{min}$) had a higher increasing trend than the maximum temperature ($T_{max}$), and the average temperature increased by about $0.03^{\circ}C\;yr.^{-1}$. The relative humidity and wind speed decreased by $0.02%\;yr^{-1}$ and $0.01m\;s^{-1}yr^{-1}$, respectively. With the exception of the Han River basin, the regression analysis and Mann-Kendall and Sen results failed to detect trends for the runoff and rainfall over the study period. Rapid land use changes were linked to the increase in the runoff in the Han River basin. The sensitivity of the evapotranspiration and ultimately the runoff to the meteorological variables was in the order of relative humidity > sunshine duration > wind speed > $T_{max}$ > $T_{min}$. Future studies should investigate the interaction of the variables analyzed herein, and their relative contributions to the runoff trends.

Comparative analysis of US and China artificial intelligence patents trends

  • Kim, Daejung;Jeong, Joong-Hyeon;Ryu, Hokyoung;Kim, Jieun
    • 한국컴퓨터정보학회논문지
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    • 제24권1호
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    • pp.25-32
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    • 2019
  • With the rapid development of artificial intelligence technology, the patenting activities related to the fields of AI is increasing worldwide. In particular, a share of patent filed in China has exploded in recent years and overtakes the numbers in the US. In the present study, we focus our attention on the patenting activity of China and the US. We analyzed 6,281 and 13,664 patent applications in the US and China respectively between 2008 and 2018, and belonging to the "G06F(Electric Digital Data Processing)", "G06N(Computer Systems Based on Specific Computational Models)", "H04L(Transmission of Digital Information)" and nine more relevant technological classes, as indicated by the International Patent Classification(IPC). Our analysis contributes to: first, the understanding of patent application trends from foreign countries filed in the US and China, 2) patent application status by applicants category such as companies, universities and individuals, 3) the development direction and forecasting vacant technology of AI according to main IPC code. Through the analysis of this paper, we can suggest some implications for patent research related to artificial intelligence in Korea. Plus, by analyzing the most recent patent data, we can provide important information for future artificial intelligence technology research.

원형탈모증의 국내 한의학 임상 연구동향 (Review of Domestic Clinical Research Trends of Korean Medicine on Alopecia areata)

  • 천혜선
    • 동의생리병리학회지
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    • 제36권6호
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    • pp.221-228
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    • 2022
  • The purpose of this study is to report the research trends of Korean medicine treatment for alopecia areata. We investigated the studies on Korean medicine treatments for alopecia areata via searching 4 web databases of Korea. 13 papers were selected, and we classified them according to publication year, published journals, the types of study, research subject, the methods of treatment, confirmation of recurrence, methods of evaluation, and institutional review board(IRB). We analyzed a total of 13 clinical studies of Korean medicine on alopecia areata based on various criteria and reviewed the research trends. Based on this, we suggested points to be improved and supplemented when conducting clinical research on alopecia areata in the future. Clinical studies on alopecia areata started to be published in 2001, and acupuncture, pharmacopuncture, herbal medicines, etc. were used as treatment methods for alopecia areata. Most of the clinical studies on alopecia areata were case studies, so it is thought that various types of clinical studies are needed. In addition, it is necessary to confirm the recurrence of alopecia areata and to improve the awareness of research ethics.

네트워크 이상행위 탐지를 위한 암호트래픽 분석기술 동향 (Trends of Encrypted Network Traffic Analysis Technologies for Network Anomaly Detection)

  • 최양서;유재학;구기종;문대성
    • 전자통신동향분석
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    • 제38권5호
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    • pp.71-80
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    • 2023
  • With the rapid advancement of the Internet, the use of encrypted traffic has surged in order to protect data during transmission. Simultaneously, network attacks have also begun to leverage encrypted traffic, leading to active research in the field of encrypted traffic analysis to overcome the limitations of traditional detection methods. In this paper, we provide an overview of the encrypted traffic analysis field, covering the analysis process, domains, models, evaluation methods, and research trends. Specifically, it focuses on the research trends in the field of anomaly detection in encrypted network traffic analysis. Furthermore, considerations for model development in encrypted traffic analysis are discussed, including traffic dataset composition, selection of traffic representation methods, creation of analysis models, and mitigation of AI model attacks. In the future, the volume of encrypted network traffic will continue to increase, particularly with a higher proportion of attack traffic utilizing encryption. Research on attack detection in such an environment must be consistently conducted to address these challenges.