• 제목/요약/키워드: Search trends

검색결과 557건 처리시간 0.031초

검색어 빈도 데이터를 반영한 코로나 19 확진자수 예측 딥러닝 모델 (Predicting the Number of Confirmed COVID-19 Cases Using Deep Learning Models with Search Term Frequency Data)

  • 정성욱
    • 정보처리학회논문지:소프트웨어 및 데이터공학
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    • 제12권9호
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    • pp.387-398
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    • 2023
  • 코로나 19 유행은 인류 생활 방식과 패턴에 큰 영향을 주었다. 코로나 19는 침 방울(비말)은 물론 공기를 통해서도 감염되기 때문에 가능한 대면 접촉을 피하고 많은 사람이 가까이 모이는 장소는 피할 것을 권고하고 있다. 코로나 19 환자와 접촉했거나 코로나 19 환자가 발생한 장소에 있었던 사람이 코로나 19에 감염되었을 것을 염려한다면 구글에서 코로나 19 증상을 찾아볼 것이라고 충분히 예상해 볼 수 있다. 본 연구에서는 과거 독감 감시와 관리에 중요 역할을 했었던 구글 트렌드(Google Trends)를 다시 소환하고 코로나 19 확진자수 데이터와 결합하여 미래의 코로나 19 확진자수를 예측할 수 있을지 딥러닝 모델(DNN & LSTM)을 사용한 탐색적 데이터 분석을 실시하였다. 특히 이 연구에 사용된 검색어 빈도 데이터는 공개적으로 사용할 수 있으며 사생활 침해의 우려도 없다. 심층 신경망 모델(DNN model)이 적용되었을 때 한국에서 가장 많은 인구가 사는 서울(960만 명)과 두 번째로 인구가 많은 부산(340만 명)에서는 검색어 빈도 데이터를 포함하여 예측했을 때 더 낮은 오류율을 기록했다. 이와 같은 분석 결과는 검색어 빈도 데이터가 일정 규모 이상의 인구수를 가진 도시에서 중요한 역할을 할 수 있다는 것을 보여주는 것이다. 우리는 이와 같은 예측이 더 강력한 예방 조치의 실행이나 해제 같은 정책을 결정하는데 근거 자료로 충분히 사용될 수 있을 것으로 믿는다.

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.

Research trends related to childhood and adolescent cancer survivors in South Korea using word co-occurrence network analysis

  • Kang, Kyung-Ah;Han, Suk Jung;Chun, Jiyoung;Kim, Hyun-Yong
    • Child Health Nursing Research
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    • 제27권3호
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    • pp.201-210
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    • 2021
  • Purpose: This study analyzed research trends related to childhood and adolescent cancer survivors (CACS) using word co-occurrence network analysis on studies registered in the Korean Citation Index (KCI). Methods: This word co-occurrence network analysis study explored major research trends by constructing a network based on relationships between keywords (semantic morphemes) in the abstracts of published articles. Research articles published in the KCI over the past 10 years were collected using the Biblio Data Collector tool included in the NetMiner Program (version 4), using "cancer survivors", "adolescent", and "child" as the main search terms. After pre-processing, analyses were conducted on centrality (degree and eigenvector), cohesion (community), and topic modeling. Results: For centrality, the top 10 keywords included "treatment", "factor", "intervention", "group", "radiotherapy", "health", "risk", "measurement", "outcome", and "quality of life". In terms of cohesion and topic analysis, three categories were identified as the major research trends: "treatment and complications", "adaptation and support needs", and "management and quality of life". Conclusion: The keywords from the three main categories reflected interdisciplinary identification. Many studies on adaptation and support needs were identified in our analysis of nursing literature. Further research on managing and evaluating the quality of life among CACS must also be conducted.

Identification of flutter derivatives of bridge decks using stochastic search technique

  • Chen, Ai-Rong;Xu, Fu-You;Ma, Ru-Jin
    • Wind and Structures
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    • 제9권6호
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    • pp.441-455
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    • 2006
  • A more applicable optimization model for extracting flutter derivatives of bridge decks is presented, which is suitable for time-varying weights for fitting errors and different lengths of vertical bending and torsional free vibration data. A stochastic search technique for searching the optimal solution of optimization problem is developed, which is more convenient in understanding and programming than the alternate iteration technique, and testified to be a valid and efficient method using two numerical examples. On the basis of the section model test of Sutong Bridge deck, the flutter derivatives are extracted by the stochastic search technique, and compared with the identification results using the modified least-square method. The Empirical Mode Decomposition method is employed to eliminate noise, trends and zero excursion of the collected free vibration data of vertical bending and torsional motion, by which the identification precision of flutter derivatives is improved.

아토피 피부염의 레이저 치료에 관한 논문 경향 분석 (Reviewing Research on Laser Therapy of Atopic Dermatitis)

  • 조재명;홍은주;서형식
    • 한방안이비인후피부과학회지
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    • 제26권1호
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    • pp.82-96
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    • 2013
  • Objective : The purpose of this study is to analyze research trends on the effects of laser therapy on atopic dermatitis. Methods : We searched papers using pubmed, First search used the keyword "Laser Therapy, Low-level and Atopic dermatitis". Inclusion criteria were last 10 years, RCT, Clinical trial, Human. Second search used the keyword "LLLT and Atopic dermatitis". Inclusion criteria were Human. Third search used the keyword "Laser and Atopic dermatitis". Inclusion criteria was the same as first search. Finally we searched papers using the keyword "Laser and Atopic dermatitis" in NDSL and RISS. Papers not matched with inclusion criteria were excluded. Results : A total 20 studies were found, 14 studies were excluded and 6 studies were selected and analyzed. They turned out to be effective and no serious side-effect, but there was mild side-effect in 2 papers out of 4 papers using high-level laser. Conclusions : Low-level laser and high-level laser therapy, both can be effectively used as an alternative to the treatment of atopic dermatitis. Thus further attention and studies are needed on this topic in order to reduce the side effects and demonstrate the effectiveness clearly.

침과 관련된 특허의 최근 동향 분석 (Analysis on the recent trends of acupuncture related patents)

  • 황혜숙;한경주;김유성;이지은;정상용;류연희;최선미;구성태
    • 한국한의학연구원논문집
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    • 제13권1호통권19호
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    • pp.101-107
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    • 2007
  • Aims: We have examined and analyzed trends of acupuncture related patents to understand the status of acupuncture technology and research trends of acupuncture in major countries including Korea, the United States, European Union and Japan. Methods: To analyze the patents, we searched and analyzed the total of 1,048 on-line DB based patents under time limit of July, 2006. Results: According to the search results, Korea is mostly superior compared to the others in number of domestic patents. However, Korea patents is inferior in number of international patents and leave much to be desired in industrial applications because of low patents barrier of personal patents and the absence of prospective clients. In addition, in this study, we show an index of international competitiveness and preliminary data of necessity of international cooperation in a field of acupuncture researches. Conclusion: These data suggest that Korea has strong possibility to recover competitiveness for guaranteeing valuable patents, if there are international cooperation and intensive managements of industries in advanced country markets.

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디지털 신세대의 패션트렌드 인지도와 수용도가 패션정보 활용도에 미치는 영향 (The Study of New Digital Generation's Utilization of Fashion Information)

  • 김여원;최종명
    • 한국생활과학회지
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    • 제18권2호
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    • pp.465-476
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    • 2009
  • The purpose of this study is to investigate recognition degree and acceptability of fashion trends of new consumers who live in digital era, and to determine how these factors have influence on their use of fashion trend information. The study was conducted with 696 people from 15 to 34 years old. A self-administrated questionnaire based on the results of previous researches was developed. The data were analyzed with statistical analyses such as frequency analysis, mean, factor analysis, t-test, ANOVA, correlation and regression analysis. The results are as follows: first, new digital consumer's recognition degree (RD) of fashion trends is 7.85 on the average, given that the top of scale is 20.0, it is quite low. Of fashion trend RD, fashion item RD is the highest. The female subjects recognize fashion trends better than the male subjects. Second, fashion trend acceptance of new digital generation is classified into 5 factors: 'search acceptance', 'lead acceptance', 'follow acceptance', 'non-acceptance', and 'delay acceptance'. The female subjects show higher degree in the factors of 'search acceptance', 'lead acceptance' and 'follow acceptance' of fashion trend than the males; hence it means that the females have more positive attitudes in fashion trend acceptance than the males. Third, there are significant differences between genders in the fashion information utilization. Compared to the males, the females more use fashion information on style, fabrics and color. Concludingly, their fashion trend recognition degree and acceptance made an influence in part on their utilization of fashion information.

추나 치료에 대한 국내 연구 동향 - 임상논문의 종류, 발표 년도, 학회지, 부위에 따른 술기 중심으로 (Research Trends on Chuna Treatment in Korean Medicine - Focused on Type of Clinical Trails, Published Year, Academic Journals and Treatment Technique for Each Used Parts)

  • 황만석;조현우;이현엽;허광호;황의형;신미숙;신병철
    • 척추신경추나의학회지
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    • 제8권1호
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    • pp.49-61
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    • 2013
  • Objectives: The aim of this study was to analyse the domestic trends of Chuna treatments techniques in Korean literature. Methods: We searched the clinical trials on Chuna treatments through both electronic search(used keyword 'chuna') and hand search in 3 Korean web databases(OASIS, NDSL, RISS) and 4 related journals(The Journal of Korea CHUNA Manual Medicine for Spine & Nerves, Journal of Oriental Rehabilitation Medicine, The Journal of Korean Acupuncture & Moxibustion Society, Journal of Korean Medicine Society). All relevant clinical trials were selected and extracted to be analyzed according to their published year, journals, types of study, used techniques. Results: The number of the clinical studies tends to increase every year. The studies on Chuna treatments were mainly published in The Journal of Korea Chuna Manual Medicine for Spine & Nerves. In case of types of study, case reports and case series were predominant. The most frequently adopted techniques of Chuna in studies were flexion distraction technique for lumbar spine and JS supine position cervical spine distraction. Conclusions: Through the results of this study, we hope that the more qualitative education could be conducted by strengthening the techniques which often used. Also analysis of the reason of rarely used techniques should be conducted and the modification or developing techinques should be followed as a counter measures. As applying more rigorous methodology, more qualitative evidence based Chuna studies should be conducted in future clinical research.

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비알코올 지방간질환에 대한 한의학 연구 동향 보고: 국내 논문을 중심으로 (A Review of Research Trends in Traditional Korean Medicine for Nonalcoholic Fatty Liver Disease)

  • 김나연;윤미정;최홍식;김승모;김상찬;김경순
    • 대한한방내과학회지
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    • 제43권4호
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    • pp.680-719
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    • 2022
  • Objectives: The aim of this study was to investigate the trends in research on non-alcoholic fatty liver disease (NAFLD) using Korean traditional medicine. Methods: This review included studies related to the treatment of NAFLD, irrespective of the year of publication. The search terms were "nonalcoholic fatty liver disease", "non-alcoholic fatty liver", "nonalcoholic hepatitis", "herb", "herbal medicine", "acupuncture", and "traditional medicine". The studies were analyzed according to the type of research. Results: After screening, 179 studies were selected from the 592 identified by the search. The types of studies were 151 in vivo or in vitro studies, 5 randomized controlled trials, 12 case reports, 2 unspecified clinical studies, 8 review articles, and 1 article that was difficult to classify. Conclusion: Analysis of the trends in Korean traditional medicine treatment by reviewing the studies on NAFLD revealed a focus on experimental studies rather than clinical studies. Therefore, multifaceted and well-designed studies are needed.

소셜데이터 및 ARIMA 분석을 활용한 소비자 관점의 헬스케어 기술수요 예측 연구 (A Study on the Demand Forecasting of Healthcare Technology from a Consumer Perspective : Using Social Data and ARIMA Model Approach)

  • 양동원;이준기
    • 한국IT서비스학회지
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    • 제19권4호
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    • pp.49-61
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    • 2020
  • Prior studies on technology predictions attempted to predict the emergence and spread of emerging technologies through the analysis of correlations and changes between data using objective data such as patents and research papers. Most of the previous studies predicted future technologies only from the viewpoint of technology development. Therefore, this study intends to conduct technical forecasting from the perspective of the consumer by using keyword search frequency of search portals such as NAVER before and after the introduction of emerging technologies. In this study, we analyzed healthcare technologies into three types : measurement technology, platform technology, and remote service technology. And for the keyword analysis on the healthcare, we converted the classification of technology perspective into the keyword classification of consumer perspective. (Blood pressure and blood sugar, healthcare diagnosis, appointment and prescription, and remote diagnosis and prescription) Naver Trend is used to analyze keyword trends from a consumer perspective. We also used the ARIMA model as a technology prediction model. Analyzing the search frequency (Naver trend) over 44 months, the final ARIMA models that can predict three types of healthcare technology keyword trends were estimated as "ARIMA (1,2,1) (1,0,0)", "ARIMA (0,1,0) (1,0,0)", "ARIMA (1,1,0) (0,0,0)". In addition, it was confirmed that the values predicted by the time series prediction model and the actual values for 44 months were moving in almost similar patterns in all intervals. Therefore, we can confirm that this time series prediction model for healthcare technology is very suitable.