• Journal of the Korea Convergence Society
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• v.12 no.1
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• pp.163-170
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• 2021

Smart-textronics technology which enables functional textiles has recently been applied in various fields such as smart clothes, smart home and smart health care, and a variety of smart-textronics products have been developed. In this context, the smart-textronics product development process is proposed based on the systematic participatory design method in this paper. The proposed method consists of two phases: in-depth interviews and analyzing. In the phase of in-depth interviews, participants are asked to create journey maps that include activities, pain points and emotional status and to generate solution ideas with sketches and simple prototypes. In the analyzing phase, design researchers investigate the participants' journey maps, and create personas by identifying critical characteristics with the behavior pattern analysis. Then, each persona's needs are linked with value elements of the E3 value framework. Finally, pre-survey was conducted to identify smart-textronics market and a smart sofa design is proceeded as the case study to show the applicability of the proposed method.

• Journal of Korean Society of Archives and Records Management
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• v.22 no.2
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• pp.117-133
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• 2022

The archival content listed arbitrarily makes it difficult for users to efficiently access the records of major economic policies, especially given that they use it without understanding the required period and context. Using the text mining techniques in the 30-year economic policy direction from 1991 to 2021, this paper derives economic-related keywords and changes that the government mainly dealt with. It collects and preprocesses major economic policies' background, main content, and body text and conducts text frequency, term frequency-inverse document frequency (TF-IDF), network, and time series analyses. Based on these analyses, the following words are recorded in order of frequency: "job(일자리)," "competitive(경쟁력)," and "restructuring(구조조정)." In addition, the relative ratio of "job (일자리)," "real estate(부동산)," and "corporation(기업)," by year was analyzed in terms of chronological order while presenting major keywords mentioned by each government. Based on the results, this study presents implications for developing and broadening the area of archival information services related to economic policies.

• Journal of the Korean Society for information Management
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• v.33 no.3
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• pp.155-176
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• 2016

This study aims to develope a scholarly metadata information system based on conceptual elements of text structure of Korean studies research articles and to identify the applicability of text structure based metadata as compared with the existing similar system. For the study, we constructed a database(Korean Studies Metadata Database, KMD) with text structure based on metadata of Korean Studies journal articles selected from the Korea Citation Index(KCI). Then we verified differences between KCI system and KMD system through search results using same keywords. As a result, KMD system shows the search results which meet the users' intention of searching more efficiently in comparison with the KCI system. In other words, even if keyword combinations and conditional expressions of searching execution are same, KMD system can directly present the content of research purposes, research data, and spatial-temporal contexts of research et cetera as search results through the search procedure.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.211-217
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• 2019

As the widespread use of mobile health intervention among Korean patients with chronic disease, it is needed to identify research trends in mobile health intervention on chronic care using text mining technique. This secondary data analysis was conducted to investigate characteristics and main research topics in intervention studies from 2005 to 2018 with a total of 20 peer reviewed articles. Microsoft Excel and Text Analyzer were used for data analysis. Mobile health interventions were mainly applied to hypertension, diabetes, stroke, and coronary artery disease. The most common type of intervention was to develop mobile application. Lately, 'feasibility', 'mobile health', and 'outcome measure' were frequently presented. Future larger studies are needed to identify the relationships among key terms and the effectiveness of mobile health intervention using social network analysis.

• Journal of Korea Entertainment Industry Association
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• v.13 no.5
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• pp.215-228
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• 2019

The purpose of this study is to analyze the trends of research themes of the Korean dance in recent 20 years using text mining. The study has analyzed 3,047 words in 1,468 academic papers posted in the Research & Information Services Section(RISS). TEXTOM, a big data analysis solution, has been used to refine and analyse data, and the keyword analysis and topic modeling have been adopted during the text-mining process to come up with meaningful results. First, the theme of studies has shifted from the structure of the basic Korean dance moves to the use and transmission of the Korean dance. Second, those who participate in studies of the Korean dance have changed from middle-aged women to elderly women. Third, studies on dance records have been inactivated. Fourth, studies on Choi Seung-hee have consistently been a subject of interest. Fifth, the focus of studies has turned from the Korean creative dance to the Korean traditional dance. Sixth, there are no iconic research themes that would lead the academic trends with no clear boundaries of research themes.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.453-454
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• 2011

다양한 스마트 모바일을 기반으로 하는 인터페이스 호환 환경의 경우 상당히 유사한 형태의 어플리케에션 아이콘 디자인이 양산되어지고 있다, 이러한 현상은 사용자가 어떤 상호텍스트성의 요소에 의해 기호의 인지 작용을 수행하며 유사한 내용과 기능을 내포한 디자인을 어떻게 서로 다르게 인지 하는지를 증명하여 향후 디지털 기기의 아이콘의 디자인에 효과적인 가이드를 제시할 수 있을 것이다. 또한 이러한 연구 결과를 토대로 영상 미디어의 통합이나 유비쿼터스 환경의 디지털 영상 기호 설계에 있어서 나타날 수 있는 미디어의 컨버전스에 의한 디지털 영상 기호 커뮤니케이션 오류를 줄이는 기초적 연구가 되고자 한다.

• Proceedings of the KAIS Fall Conference
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• 2012.05a
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• pp.197-200
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• 2012

본 논문에서는 그래마스의 이론을 적용하여 행동자의 모델을 통해 출연자의 관계와 서로의 행동적 모델을 분석하고자 함이다. 본 연구에서는 텍스트의 분석이 아닌 영상에서 나타난 의미를 텍스트적으로 들여다보고 이를 통하여 영상에 대입하여 분석하였다. '힐링캠프'의 3명의 사회자와 초대손님의 관계에 대하여 분석함으로서 그래마스의 행동자 모델에 적용함으로서 서로의 관계에 대하여 연구해 보았다.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10a
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• pp.48-50
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• 2000

최근 텍스트, 이미지, 오디오, 비디오와 같은 멀티미디어 객체를 다루는 연구는 국내외적으로 활발하게 진행되고 있으나, 이러한 멀티미디어 객체들을 효율적으로 저장 및 검색하기 위한 하부저장 시스템에 대한 연구는 미흡한 실정이다. 본 연구에서는 이러한 대용량 멀티미디어 객체들을 효율적으로 저장 및 검색하기 위한 구조를 분석하고 다양한 이질적 객체들을 위한 객체 관리자 및 대용량 텍스트를 위한 역화일 관리자를 설계한다. 아울러, 기존의 하부저정 구조인 SHORE 저장시스템에 통합하여 DBMS 측면에서 제공하는 동시성 제어, 회복기법 등을 지원할 수 있는 객체저장 엔진을 구현한다.

• Annual Conference of KIPS
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• 2009.04a
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• pp.118-121
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• 2009

말뭉치 분석기는 언어 연구에 필요한 도구로써 망뭉치 분석을 통한 언어 정보의 추출, 적용 및 확인용으로 사용할 수 있다. 본 논문에서는 언어 기술을 국부 문법에 의한 그래픽적인 기술방법으로 처리하는 말뭉치 분석기를 이용하여 한국어 텍스트를 연구하기 위하여 기존의 굴절어 중심으로 구현되어진 다국어 말뭉치 분석기에 한국어와 같은 교착어들의 텍스트 처리를 위한 기능을 구현한다.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.167-176
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• 2021

With development of big data analysis technology, many studies to find social issues using texts mining techniques have been conducted. In order to derive social issues, previous studies performed in a way that collects a large amount of text data from news or SNS, and then analyzes issues based on text mining techniques such as topic modeling and terms network analysis. Social issues are the results of various social phenomena and factors. However, since previous studies focused on deriving social issues that are results of various causes, there are limitations to revealing the cause of the issues. In order to effectively respond to social issues, it is necessary not only to derive social issues, but also to be able to identify the causes of social issues. In this study, in order to overcome these limitations, we proposed a method of deriving the factors that cause social issues from texts related to social issues based on the theory of part of Korean linguistics. To do this, we collected news data related to social issues for three years from 2017 to 2019 and proposed a methodology to find causes based causal sentences based on text mining techniques.