• 한국실내디자인학회논문집
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• 제19권5호
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• pp.95-104
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• 2010

One of 21st century's main paradigms is a 'Culture', and people started to express their 'cultural desires and demands' regarding public environments. Accordingly central and local governments are paying attention to these demands from their citizens and trying to establish the policies to meet these needs. This research is done to suggest the strategy programming model to support the executions of culture-centered public designs which are based on the local resources and identities. The entire research contains three sub-topics. First topic is setting the prototype phases of strategy programming. Second topic is analyzing the associated indices for each prototype phase. Third topic is suggesting Matrix Model in which the prototype phases and their associated indices are linked. Among three topics, this paper deals with the first one - the prototype phases of strategy programming. It studies this subject in relation with Place Marketing which emphasizes the local resources and identities. The prototype phases are comprised of 3 steps for Place Strategy and 4 steps for Marketing Strategy. Place Strategy should be considered prior to Marketing Strategy because in culture-centered public design, locality has priority over other concerns. The phases for Place Strategy includes 'Resource_analyzing of local resources', 'Mission_setting a purpose', and 'Targeting_segmenting target groups'. The phases for Marketing Strategy involves 'Organization_instituting the main body and/or partnership', 'Image Positioning_setting an unique local image', 'Point_realizing the product', and 'Channel_deciding the sales promotion tools'.

• 지식경영연구
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• 제20권1호
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• pp.45-75
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• 2019

Recently, the growth of beauty industry such as plastic surgery and beauty is continued every year in Korea. With the increased interest in appearance based on the improvement of life standard and the development of media, people's perception of cosmetic plastic surgery is changing. Now, as the service for consumer satisfaction based on their desire, the perception of plastic surgery medical service is changed to the high value-added industry with the high growth potential. Thus, this study aims to suggest the strategies for providing the medical service that could satisfy customers, by drawing the factors cognized as important when customers aim to get the cosmetic plastic surgery, and then additionally analyzing the relationships of those factors. On top of performing the topic modeling based on customers' comments data of social commerce related to cosmetic plastic surgery, this study also conducted the network analysis for visualizing the relations of each keywords. The drawn main factors were divided by applying the sub-categories of the SERVQUAL theory, and the additional characteristics of plastic surgery were shown by referring the relevant previous researches. Moreover, the interview with the cosmetic plastic surgery specialists (plastic surgeons) and customers who actually received the plastic surgery, helped the understanding of the interpretation of each factor and the actual relevant phenomenons. The significance of this study is to draw and discuss the main factors that should be observed by Korean cosmetic plastic surgery medical institutes, by mining and analyzing the opinions of customers interested in the cosmetic plastic surgery and procedure with the use of topic modeling. In other words, the quality of medical service of cosmetic plastic surgery could be improved by presenting the key factors that could be considered by the cosmetic plastic surgery medical service suppliers and also the actual strategies.

• 한국콘텐츠학회논문지
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• 제21권12호
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• pp.47-56
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• 2021

본 연구는 네트워크 분석을 활용하여 대학생 인성 관련 연구의 동향을 파악하고 향후 연구 방향의 시사점을 제공하는데 그 목적이 있다. 이러한 연구목적을 위해 국내 학술지에 게재된 대학생 인성 관련 논문 194편을 대상으로 하였다. 연구결과를 정리하면 다음과 같다. 첫째, 대학생 인성 관련 연구는 2004년부터 발표되기 시작하여 2012년에 소폭 상승하였고, 2015년부터 상승곡선을 이어가다 2017년에 정점을 찍은 후, 하향추세인 것으로 확인된다. 둘째, 연결 중심성과 매개 중심성 분석에서 공통적으로 가장 높은 중심성을 가진 핵심 키워드는 '사회'와 '함양'이었다. 셋째, 1기(2004년-2010년)에는 개인적 차원과 인성의 인지적인 측면의 키워드, 2기(2011년-2015년)에는 사회적인 차원과 인성의 정서적인 측면의 키워드, 3기(2016년-2020년)에는 사회적인 차원과 인성의 인지·정서·행동적인 측면의 키워드가 핵심적이었다. 넷째, 토픽모델링 분석결과, 능력, 생활, 대인, 만족, 적응의 키워드로 이루어진 토픽 2와 역량, 도덕, 시민, 사회, 실천으로 이루어진 토픽 1이 가장 높은 비중을 차지하였다. 다섯째, 1기에는 토픽 4 단독, 2기에는 토픽 1과 토픽 2의 순으로, 3기에는 토픽 2와 토픽 1의 순으로 높은 비중을 차지하는 것으로 나타났다. 본 연구는 대학생 인성 관련 연구에 유용한 근거자료가 될 것이다.

• 한국보육지원학회지
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• 제16권1호
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• pp.21-49
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• 2020

Objective: The purpose of this study was to understand the research trends of inclusive child-care for young children with disabilities and suggest some implications for future research on inclusive child-care. Methods: There were a total 330 previous research papers about child-care inclusion, which means the practice of educating and caring for children aged 0 to 5 years old with disabilities alongside their typically developing peers at child-care centers. The studies were analyzed in terms of main research topic, subject, and research methods. Results: The major results of this study were as follow. First, a quantitative increase of the research since 2003 and a sharp increase of total research in this area since 2006 were found. Second, as a result of the main topic analysis, recognition and attitude research was the most frequently conducted, followed by the research about child-care programs, teacher and family support, and the effect of inclusive child-care. Third, more than half of the researches were done by teachers. Lastly, quantitative research methods were mainly used. Conclusion/Implications: Based on these findings, this study suggested to extend the research on inclusive child-care effect, intervention programs, non-disabled children, infants, and qualitative research.

• 한국간호교육학회지
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• 제26권4호
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• pp.402-411
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• 2020

Purpose: The purpose of this study is to explore the trends of research related to ethical topics in Korean nursing students. Methods: A total of 131 articles that were published from 2000 to 2020 were analyzed and summarized according to publishing type, research design, subject, data analysis method, main research topic, research variables and instrument. Results: Most studies were journal articles (93.9%) and their most frequent research design was survey (75.7%). The research subjects covered all grades (35.1%) or they were divided between clinical nursing practicum (29.8%) or not (21.4%). The main research topics were biomedical ethics, ethical values, moral judgment and ethics education. Recently, ethical decision making and practical ability in nursing practice were reported. The instruments for measuring variables were limited and the same tools were used several times. Conclusion: Based on the findings of this study, it is suggested that the selection of various research topics and the application of research methods related to ethics for nursing students will continue in response to rapidly changing social phenomena in the future. In particular, it is necessary that research related to ethical and practical ability as well as ethical attitudes and perceptions of nursing students be actively carried out.

• 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.

• 한국식생활문화학회지
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• 제37권3호
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• pp.196-212
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• 2022

This study examines the trend of research on food and culture in papers published in the Journal of The Korean Society of Food Culture from 1986 to 2020. The journals published a total of 329 papers, which we classified into 5 main categories and 13 middle categories. Of these, 204 articles were on "Korean traditional food culture." The most studied topic in the entire period was "Perception of Koreans towards traditional food, preference, satisfaction, and usage." A total of 76 studies related to "Korean contemporary food culture." The most advanced topic researched concerned "Recognition and attitude"; these studies were consistently carried out throughout the research period. The main classification of "World food culture" encompassed 32 studies, with major research focused on "World's Modern Food Culture" and the most advanced being "Comparison of Food Cultures of Foreign and Korean Food Cultures." All studies were consistently spaced out during the study period. These studies provide an integrated knowledge in the field of food and culture and can be used as a basic material for related research in the future.

• 지능정보연구
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• 제26권2호
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• pp.43-56
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• 2020

추천 시스템은 사용자가 다양한 옵션 중에서 최선의 선택을 할 수 있도록 도와준다. 그러나 추천 시스템이 상업적으로 성공하기 위해서는 극복할 몇 개의 문제점이 존재한다. 첫째, 추천시스템의 투명성 부족 문제이다. 즉, 추천된 상품이 왜 추천되었는지 사용자들이 알 수 없다. 둘째, 추천시스템이 사용자 선호의 변화를 즉각적으로 반영할 수 없는 문제이다. 즉, 사용자의 상품에 대한 선호는 시간이 지남에 따라 변함에도 불구하고, 추천시스템이 사용자 선호를 반영하기 위해서는 다시 모델을 재구축해야 한다. 따라서 본연구에서는 이러한 문제를 해결하기 위해 토픽 모델링과 순차 연관 규칙을 이용한 추천 방법론을 제안하였다. 토픽 모델링은 사용자에게 아이템이 왜 추천되었는지 설명하는데 유용하며, 순차 연관 규칙은 변화하는 사용자의 선호를 파악하는데 유용하다. 본 연구에서 제안한 방법은 크게 토픽 모델링 및 사용자 프로파일 생성 등 토픽 모델링에 기반한 사용자 프로파일 생성 단계와 토픽에 사용자 선호 확인 및 순차 연관 규칙 발견 등 순차 연관 규칙에 기반한 추천 단계로 구분된다. 벤치마크 시스템으로 협업 필터링 기반 추천 시스템을 개발하고, 아마존의 리뷰 데이터 셋을 이용하여 제안한 방법론의 성능을 비교 평가하였다. 비교 분석 결과, 제안한 방법론이 협업 필터링 기반 추천시스템보다 뛰어난 성능을 보였다. 따라서 본 연구에서 제안하는 추천 방법을 통해 추천 시스템의 투명성을 확보할 수 있을 뿐만 아니라, 시간에 따라 변화하는 사용자의 선호를 반영할 수 있다. 그러나 본 연구는 토픽과 관련된 상품을 추천하기 때문에, 토픽에 포함된 상품의 수가 많을 경우 추천이 정교하지 못하는 한계점이 있다. 또한 토픽의 수가 적기 때문에 토픽에 대한 순차 연관 규칙이 너무 적은 문제점이 있다. 향후 연구에서 이러한 문제점을 해결한다면 좋은 연구가 될 것으로 판단된다.

• Journal of Information Processing Systems
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• 제14권1호
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• pp.140-149
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• 2018

Social data such as users' comments are unstructured in nature and up-to-date technologies for analyzing such data are constrained by the available storage space and processing time when fast storing and processing is required. On the other hand, it is even difficult in using a huge amount of dynamically generated social data to analyze the user features in a high speed. To solve this problem, we design and implement a topic association analysis system based on the latent Dirichlet allocation (LDA) model. The LDA does not require the training process and thus can analyze the social users' hourly interests on different topics in an easy way. The proposed system is constructed based on the Spark framework that is located on top of Hadoop cluster. It is advantageous of high-speed processing owing to that minimized access to hard disk is required and all the intermediately generated data are processed in the main memory. In the performance evaluation, it requires about 5 hours to analyze the topics for about 1 TB test social data (SNS comments). Moreover, through analyzing the association among topics, we can track the hourly change of social users' interests on different topics.

• Journal of Information Processing Systems
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• 제14권1호
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• pp.79-100
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• 2018

Twitter is one of the most popular social platforms for online users to share trendy information and views on any event. Twitter reports an event faster than any other medium and contains enormous information and views regarding an event. Consequently, Twitter topic summarization is one of the most convenient ways to get instant gist of any event. However, the information shared on Twitter is often full of nonstandard abbreviations, acronyms, out of vocabulary (OOV) words and with grammatical mistakes which create challenges to find reliable and useful information related to any event. Undoubtedly, Twitter event summarization is a challenging task where traditional text summarization methods do not work well. In last decade, various research works introduced different approaches for automatic Twitter topic summarization. The main aim of this survey work is to make a broad overview of promising summarization approaches on a Twitter topic. We also focus on automatic evaluation of summarization techniques by surveying recent evaluation methodologies. At the end of the survey, we emphasize on both current and future research challenges in this domain through a level of depth analysis of the most recent summarization approaches.