• KIPS Transactions on Software and Data Engineering
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• v.12 no.9
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• pp.387-398
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• 2023

The COVID-19 outbreak has significantly impacted human lifestyles and patterns. It was recommended to avoid face-to-face contact and over-crowded indoor places as much as possible as COVID-19 spreads through air, as well as through droplets or aerosols. Therefore, if a person who has contacted a COVID-19 patient or was at the place where the COVID-19 patient occurred is concerned that he/she may have been infected with COVID-19, it can be fully expected that he/she will search for COVID-19 symptoms on Google. In this study, an exploratory data analysis using deep learning models(DNN & LSTM) was conducted to see if we could predict the number of confirmed COVID-19 cases by summoning Google Trends, which played a major role in surveillance and management of influenza, again and combining it with data on the number of confirmed COVID-19 cases. In particular, search term frequency data used in this study are available publicly and do not invade privacy. When the deep neural network model was applied, Seoul (9.6 million) with the largest population in South Korea and Busan (3.4 million) with the second largest population recorded lower error rates when forecasting including search term frequency data. These analysis results demonstrate that search term frequency data plays an important role in cities with a population above a certain size. We also hope that these predictions can be used as evidentiary materials to decide policies, such as the deregulation or implementation of stronger preventive measures.

• Journal of Korean Society of Archives and Records Management
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• v.18 no.3
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• pp.25-47
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• 2018

This study aims to analyze the research trends of oral history research in Korea from 1991 to the present, and to provide basic data on the future direction of oral history research. For these purposes, 439 research articles of domestic oral history researchers from 1991 to 2018 were retrieved by keyword search from Research Information Sharing System (RISS) in Korean Education and Research Information Service (KERIS). The research trends of domestic oral history were analyzed by the volume of periodical research papers, major journals, authors and research funds, research fields and research contents, and international cooperation. Finally, based on the results of the study, the implications were summarized, and direction for follow-up research was provided.

• Child Health Nursing Research
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• v.27 no.3
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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.

• Wind and Structures
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• v.9 no.6
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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.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.26 no.1
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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.

• Korean Journal of Oriental Medicine
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• v.13 no.1 s.19
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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.

• Korean Journal of Human Ecology
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• v.18 no.2
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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.

• The Journal of Churna Manual Medicine for Spine and Nerves
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• v.8 no.1
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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.

• The Journal of Internal Korean Medicine
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• v.43 no.4
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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.

• Journal of Information Technology Services
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• v.19 no.4
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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.