• Journal of Family Resource Management and Policy Review
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• v.25 no.1
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• pp.47-61
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• 2021

The purpose of this study is to analyze the trend of changes in household labor among middle-aged generations who are facing dynamic changes in the middle of their life cycle. The research method is a literature study that examines and analyzes related data. Specifically, it aims to analyze the basic characteristics of middle-aged generations and trends in household labor, which are revealed through Time Use Survey, market trend reports, newspaper articles, and books. From the perspective of family resource management, housework is an unpaid activity performed by and for family members, and is an activity that can be replaced by purchasing goods or services from the market. This study focuses on the rapid growth of the home appliance market that replaces housework with the development of technology after industrialization, and how the change of technology affected the efficiency of housework. In addition, the composition and characteristics of middle-aged generations greatly changed according to changes in family structure, form, and family value. Examining the current state of housework and changing trends of middle-aged generations, which have different characteristics from previous generations, is significant in that it can predict future market trends and suggest implications for family policies that support the improvement of the quality of life of middle-aged generations.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.41-42
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• 2014

본 논문에서는 스마트폰 케이스에 제품디자인에 있어서 패턴 디자인 활용사례를 알아보고 주조색 분석을 통해 패턴디자인 트렌드를 살펴보는데 그 목적이 있다. 주조색 추출에 사용된 스마트폰 케이스는 +D프로젝트에 출시된 자료를 활용해 9명 디자이너 별 대표제품 2개를 분석했으며, 분석은 한국 표준색 색채분석, KSCA (Korea Standard Color Analysis) 프로그램을사용하여 각각의 이미지에서 5%이상 쓰인 주조색을 추출 하였고, Hue&Tone 분포를 통해 스마트폰케이스 패턴디자인에 사용된 색채 트렌드를 알아보고자 한다. 스마트폰케이스에 사용된 전체 주조색들을 살펴보면 색상에 있어서는 붉은색(R) 과 보라색-파랑색(PB) 의 분포가 상대적으로 높게 나타났고, 색조에 있어서는 밝은(B), 옅은(P) 톤이 가장 많이 사용 된 것을 알 수 있다. 향후 연구에서는 색채를 통한 감성분석을 연구해 스마트폰 케이스 제품디자인에 있어서 색채와 감성 간의 상관관계를 알아보고자 한다.

• Journal of Internet Computing and Services
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• v.22 no.5
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• pp.35-45
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• 2021

The purpose of this study is to understand the characteristics and trends of active senior. As the baby boom generation become the age of the elderly, they are more active than senior. These seniors are called active seniors, a new consumer group. Many countries and companies are also interested in providing relevant policies and services, but there is lack of researches on active senior trends. This study collects the 8,740 posts related to active seniors on social media from January 1st, 2018 to June 31st, 2021, and conducted keyword frequency analysis, TF-IDF analysis and LDA topic modeling. Through LDA topic modeling, topics are classified into 10 categories: lifestyle, benefits, shopping, government business, government education, health, society and economy, care industry, silver housing, leisure. The results of this study can be utilized as fundamental data to help understand the academic and industrial aspects of active senior.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2015.11a
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• pp.630-635
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• 2015

• Proceedings of the Korea Contents Association Conference
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• 2018.05a
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• pp.269-270
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• 2018

현재 출산률 저하와 고령화로 인해 독거노인가구는 급격하게 증가하고 있으며 독거노인 고독사와 같은 사회문제가 증가하고 있다. 이를 해결하기 위하여 1990년대에 '실버타운'이 들어섰으나 여러 문제들이 대두되면서 보다 발전된 형태의 노인주거시설이 필요해졌다. 이에 기존 실버타운의 단점을 보완한 시니어 코하우징이라는 신진화된 대안의 새로운 주거형태가 등장했으며, 수요자들에게 각광받고 있다. 본 연구는 시니어 코하우징 트렌드 분석에 대한 연구이다. 시니어 코하우징과 실버타운의 개념 및 특징을 이론적으로 고찰하며, 문헌 조사와 국내외 시니어 코하우징 사례조사를 통해 시니어 코하우징의 방향성을 분석하였다. 본 연구는 시니어 코하우징을 단순히 거주자 선호에 의한 주거양식이 아닌 미래사회를 위한 새로운 주거 대안으로서 인식할 필요성 고찰과 아직은 도입단계에 있는 시니어 코하우징의 활성화를 위해서 한국의 상황에 적합한 시니어 코하우징의 유형에 대한 기초 연구로서 의의가 있다.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.497-502
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• 2018

The purpose of this study is to investigate the correlation between female gradation angle and angles of female gradation according to the angle of the treatment. A total of 100 questionnaires were analyzed using questionnaires. The results showed that sophisticated images were observed at $5^{\circ}$, $31^{\circ}$, and $85^{\circ}$ of gradation, and elegance images were observed at $15^{\circ}$ and $65^{\circ}$, and modern images were observed at $50^{\circ}$. Through this study, we will be able to conduct in-depth follow-up research on female gradation cuts classified by the trend position of trends in Korean men, and it will be possible to use it as basic data for deeper haircut education at the same time as creating customer satisfaction.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.97-109
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• 2024

In the field of domestic tourism, tourism trend analysis of tourism consumers, both international tourists and domestic tourists, is essential not only for the Korean tourism market but also for local and governmental tourism policy makers. e will explore the keywords and sentiment analysis on social media to establish a marketing strategy plan and revitalize the domestic tourism industry through communication and information from tourism consumers. This study utilized TEXTOM 6.0 to analyze recent trends in Korean tourism. Data was collected from September 31, 2022, to August 31, 2023, using 'Korean tourism' and 'domestic tourism' as keywords, targeting blogs, cafes, and news provided by Naver, Daum, and Google. Through text mining, 100 key words and TF-IDF were extracted in order of frequency, and then CONCOR analysis and sentiment analysis were conducted. For Korean tourism keywords, words related to tourist destinations, travel companions and behaviors, tourism motivations and experiences, accommodation types, tourist information, and emotional connections ranked high. The results of the CONCOR analysis were categorized into five clusters related to tourist destinations, tourist information, tourist activities/experiences, tourism motivation/content, and inbound related. Finally, the sentiment analysis showed a high level of positive documents and vocabulary. This study analyzes the rapidly changing trends of Korean tourism through text mining on Korean tourism and is expected to provide meaningful data to promote domestic tourism not only for Koreans but also for foreigners visiting Korea.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.159-169
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• 2017

정부는 R&D 재원의 전략적인 투자를 위해 199년에 국가과학기술위원회를 설치한 이후, R&D 예산 배분 조정을 지속적으로 추진하면서 개별 사업에 대한 예산조정 이전에 투자우선순위를 설정하였다. 그러나 그간의 투자우선순위 설정은 중장기 투자전략, 기본계획 등을 근거로 하기 때문에 중점적으로 투자해야 할 기술분야에 대해 정성적인 언급에만 머무를 수밖에 없고, 현재 연구트렌드를 반영하기 어려위 실제 R&D 예산 배분 시 구체적인 연계성이 부족한 실정이다. 이에 본 논문에서는 나노분야 R&D를 중심으로 키워드를 활용한 트렌드 분석을 통해 정부 R&D 예산 배분의 전략성을 제고할 수 있으며, 사업의 투자규모를 설정하는데 있어 투자우선순위와의 연관도를 높이는 방안을 제시하고자 한다.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.65-82
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• 2015

Recently, there has been a surge of interest in finding core issues and analyzing emerging trends for the future. This represents efforts to devise national strategies and policies based on the selection of promising areas that can create economic and social added value. The existing studies, including those dedicated to the discovery of future promising fields, have mostly been dependent on qualitative research methods such as literature review and expert judgement. Deriving results from large amounts of information under this approach is both costly and time consuming. Efforts have been made to make up for the weaknesses of the conventional qualitative analysis approach designed to select key promising areas through discovery of future core issues and emerging trend analysis in various areas of academic research. There needs to be a paradigm shift in toward implementing qualitative research methods along with quantitative research methods like text mining in a mutually complementary manner. The change is to ensure objective and practical emerging trend analysis results based on large amounts of data. However, even such studies have had shortcoming related to their dependence on simple keywords for analysis, which makes it difficult to derive meaning from data. Besides, no study has been carried out so far to develop core issues and analyze emerging trends in special domains like the aviation industry. The change used to implement recent studies is being witnessed in various areas such as the steel industry, the information and communications technology industry, the construction industry in architectural engineering and so on. This study focused on retrieving aviation-related core issues and emerging trends from overall research papers pertaining to aviation through text mining, which is one of the big data analysis techniques. In this manner, the promising future areas for the air transport industry are selected based on objective data from aviation-related research papers. In order to compensate for the difficulties in grasping the meaning of single words in emerging trend analysis at keyword levels, this study will adopt topic analysis, which is a technique used to find out general themes latent in text document sets. The analysis will lead to the extraction of topics, which represent keyword sets, thereby discovering core issues and conducting emerging trend analysis. Based on the issues, it identified aviation-related research trends and selected the promising areas for the future. Research on core issue retrieval and emerging trend analysis for the aviation industry based on big data analysis is still in its incipient stages. So, the analysis targets for this study are restricted to data from aviation-related research papers. However, it has significance in that it prepared a quantitative analysis model for continuously monitoring the derived core issues and presenting directions regarding the areas with good prospects for the future. In the future, the scope is slated to expand to cover relevant domestic or international news articles and bidding information as well, thus increasing the reliability of analysis results. On the basis of the topic analysis results, core issues for the aviation industry will be determined. Then, emerging trend analysis for the issues will be implemented by year in order to identify the changes they undergo in time series. Through these procedures, this study aims to prepare a system for developing key promising areas for the future aviation industry as well as for ensuring rapid response. Additionally, the promising areas selected based on the aforementioned results and the analysis of pertinent policy research reports will be compared with the areas in which the actual government investments are made. The results from this comparative analysis are expected to make useful reference materials for future policy development and budget establishment.

• Journal of Convergence for Information Technology
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• v.12 no.2
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• pp.116-126
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• 2022

Many studies using trademark information have suggested that trademark information is good data to monitor business trends. This study intends to analyze the trend change before and after COVID-19 using trademark information. Changes before and after COVID-19 were analyzed by using goods & service classification, similar group code, and designated goods information as trademark information. Among the trademark information, it was statistically significant that the change in trends before and after COVID-19 using designated goods names. To verify the results, the changes in keywords using designated goods names before and after COVID-19 were compared with the frequency of keywords in Google Trends. Among the top 8 keywords extracted from designated goods names, the frequency of Google trend searches for 'online, antibacterial, prevention of epidemics, meal kit, virtual' is on the rise, and 'mask, droplet' is not on the rise, but it increased rapidly at the time of COVID-19, and even after COVID-19, it showed a higher level than before. The frequency of 'unmanned' does not differ much before and after COVID-19, but it has been maintained at a consistently high level, and related businesses have been active since before COVID-19, and it can be interpreted as a keyword with high public interest. This study has academic achievements in that it specifically identified information that could be used in business trends by using three types of trademark information.