• Title/Summary/Keyword: Keywords Analysis

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A Study on the Design Improvement of Digital Government for User-Centered Public Services in Korea (사용자 중심의 공공서비스를 위한 디지털 정부 서비스디자인 개선방안 연구)

  • Lee, Eun Suk;Cha, Kyung Jin
    • Journal of Information Technology Services
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    • v.20 no.5
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    • pp.137-146
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    • 2021
  • Recently, public participation in government policy design has been further expanded and public services perceived by users are expanding. At this time, the role of the digital government and the direction of the service to be pursued are user-centered, and above all, it is necessary to focus on the keywords of pre-emptive, preventive, and customized. In order to propose service quality improvement in the public sector, service user-centered classification and monitoring are integrated and the usability of government documents is improved. It is necessary to identify the needs of whether to provide a path for public participation. In the post-corona era, people are accessing quarantine information from the digital government every day. The government should proactively respond to the acceleration of digital transformation and the non-face-to-face demands of the people who experience non-face-to-face daily life. In order to evolve into a smart organization along with the innovation promotion plan and to provide customized services, it is necessary to use existing guides for institutional and technical improvement, along with new technology and data-based analysis, to strive for change management. The government should seek counter-measures that have advanced one step ahead by incorporating new high-tech IT with user-centered necessary services. This study aims to derive improvement plans to provide user-centered digital government service design when designing public services and collecting public opinions. Based on the e-government development model research and the existing research on user-centered service design in the public sector, institutional and technical measures are provided for the improvement of digital government service design.

A New Scheme Exploiting the Related Keyword and Big Data Analysis for Predicting Promise Technology in the Field of Satellite·Terrestrial Information Convergence Disaster Response (위성·지상정보 융합 재난 대응 기술 분야 유망기술 도출을 위한 연관 키워드 및 빅데이터 분석 기법)

  • Lee, Hangwon;Kim, Youngok
    • Journal of the Society of Disaster Information
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    • v.18 no.2
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    • pp.418-431
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    • 2022
  • Purpose: We propose a new scheme for predicting promise technology and it improves the conventional scheme that misses important lists of patent because of insufficient search formula, and cannot reflect new trend of technology due to the unreleased period of patents. Method: In this paper, we propose a new search formula exploiting TF and TF-IDF with R programming as well as related keywords, and LDA topic modeling scheme is used for analyzing recently published papers in Satellite·Terrestrial Information Convergence Disaster Response. Result: By comparing both schemes with commercial DB, the proposed scheme can find more important patents, and can reflect new trend of technology, compared to the conventional scheme. Conclusion: The proposed scheme can be used to predict promise technologies in the field of Satellite·Terrestrial Information Convergence Disaster Response.

Social Media Bigdata Analysis Based on Information Security Keyword Using Text Mining (텍스트마이닝을 활용한 정보보호 키워드 기반 소셜미디어 빅데이터 분석)

  • Chung, JinMyeong;Park, YoungHo
    • Journal of Korea Society of Industrial Information Systems
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    • v.27 no.5
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    • pp.37-48
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    • 2022
  • With development of Digital Technology, social issues are communicated through digital-based platform such as SNS and form public opinion. This study attempted to analyze big data from Twitter, a world-renowned social network service, and find out the public opinion. After collecting Twitter data based on 14 keywords for 1 year in 2021, analyzed the term-frequency and relationship among keyword documents with pearson correlation coefficient using Data-mining Technology. Furthermore, the 6 main topics that on the center of information security field in 2021 were derived through topic modeling using the LDA(Latent Dirichlet Allocation) technique. These results are expected to be used as basic data especially finding key agenda when establishing strategies for the next step related industries or establishing government policies.

Facilitators and Barriers of Social Participation of Older Adults: Systematic Review of Qualitative Studies (노인의 사회참여에 영향을 미치는 요인에 대한 체계적 고찰 : 질적연구 중심)

  • Lee, Hamin;Park, Hae Yean;Lim, Young-Myoung
    • The Journal of the Korea Contents Association
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    • v.22 no.10
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    • pp.475-487
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    • 2022
  • The purpose of this study is to comprehensively examine the facilitators and barriers to social participation of older adults in the society through systematic review of qualitative research. Through PubMed, Embase, Cochrane, data from 2012 to 2022 were collected. The main search keywords were 'elderly', 'older adults', social participation', 'engagement', 'motiv*', 'barrier', 'facilitat*'. 7 articles that satisfy the inclusion criteria were selected for analysis. Facilitators and barriers of older adults' social participation were analyzed. The analyzed factors were assorted into 'personal/ internal factors', 'environmental factors', 'social network factors'. The results of this study emphasize not only logistical factors, but also motivation, desire, social context of older adults' as factors to social participation. To prevent older adults' social isolation, a broad understanding of what promotes and inhibits the participation of the older adults is needed.

YouTube as a source of patient education information for elbow ulnar collateral ligament injuries: a quality control content analysis

  • Yu, Jonathan S;Manzi, Joseph E;Apostolakos, John M;Carr II, James B;Dines, Joshua S
    • Clinics in Shoulder and Elbow
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    • v.25 no.2
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    • pp.145-153
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    • 2022
  • Background: While online orthopedic resources are becoming an increasingly popular avenue for patient education, videos on YouTube are not subject to peer review. The purpose of this cross-sectional study was to evaluate the quality of YouTube videos for patient education in ulnar collateral ligament (UCL) injuries of the elbow. Methods: A search of keywords for UCL injury was conducted through the YouTube search engine. Each video was categorized by source and content. Video quality, reliability, and accuracy were assessed by two independent raters using five metrics: (1) Journal of American Medical Association (JAMA) benchmark criteria (range 0-4) for video reliability; (2) modified DISCERN score (range 1-5) for video reliability; (3) Global Quality Score (GQS; range 1-5) for video quality; (4) ulnar collateral ligament-specific score (UCL-SS; range 0-16), a novel score for comprehensiveness of health information presented; and (5) accuracy score (AS; range 1-3) for accuracy. Results: Video content was comprised predominantly of disease-specific information (52%) and surgical technique (33%). The most common video sources were physician (42%) and commercial (23%). The mean JAMA score, modified DISCERN score, GQS, UCL-SS, and AS were 1.8, 2.4, 1.9, 5.3, and 2.7 respectively. Conclusions: Overall, YouTube is not a reliable or high-quality source for patients seeking information regarding UCL injuries, especially with videos uploaded by non-physician sources. The multiplicity of low quality, low reliability, and irrelevant videos can create a cumbersome and even inaccurate learning experience for patients.

Changes in Interests in the Korean Traveling Industry of International Visitor at the Post-Covid 19 by Analysis of Frequency in searching keyword (키워드 검색 빈도 분석을 통한 포스트 코로나 시대 외래관광객들의 한국 관광 관심도 변화)

  • Lee, Yongseol
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.9
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    • pp.1399-1404
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    • 2022
  • The transition to the untact era caused by the COVID-19 pandemic has greatly shrunk Korea's continuously growing tourism industry. In this paper, the size, gender ratio, and gender ratio of foreign tourists before and after the outbreak of Corona, gender ratio, It was noted that there was a very large change in the purpose of the visit. Considering the end of the mandatory outdoor mask, the lifting of the mandatory quarantine for all overseas arrivals regardless of vaccination, and the number of outbound tourists who started to recover rapidly from the first half of 2022, this thesis examines how the interest in Korean tourism in the post-corona era is I wanted to see if it had changed. To this end, we analyzed how major tourism-related search keywords changed before and after COVID-19, and suggested changes necessary for the development of the Korean tourism industry.

Business Failure: Overview and Research Trend (사업실패에 관한 국내외 연구동향)

  • Bae, Tae Jun;Choi, Yun Hyeong
    • Korean small business review
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    • v.42 no.3
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    • pp.43-75
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    • 2020
  • The main purpose of this study is to analyze research trend of 'business failure' from academic papers published in Asia Pacific Journal of Small Business. In this review, first, we reviewed research trend of failure, published in academic journals at abroad, explored the major topics, and set forth the framework of classification. Second, we selected and analyzed 16 Korean articles in a refined search from total 1,060 articles published in Asia Pacific Journal of Small Business from 1979 to 2019. Third, in order to understand overall research trend in Korea, additional publication search was done by online database system using keywords, and 24 other articles were selected. As a result, five research themes were identified and analyzed: (1) bankruptcy prediction, (2) emotion before and after failure, (3) costs of failure, (4) causes of failure, and (5) reentry determinants. We believe that this purposed review will offer future research issues regarding business failure.

Trend Analysis of Pet Plants Before and After COVID-19 Outbreak Using Topic Modeling: Focusing on Big Data of News Articles from 2018 to 2021

  • Park, Yumin;Shin, Yong-Wook
    • Journal of People, Plants, and Environment
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    • v.24 no.6
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    • pp.563-572
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    • 2021
  • Background and objective: The ongoing COVID-19 pandemic restricted daily life, forcing people to spend time indoors. With the growing interest in mental health issues and residential environments, 'pet plants' have been receiving attention during the unprecedented social distancing measures. This study aims to analyze the change in trends of pet plants before and during the COVID-19 pandemic and provide basic data for studies related to pet plants and directions of future development. Methods: A total of 2,016 news articles using the keyword 'pet plants' were collected on Naver News from January 1, 2018 to August 15, 2019 (609 articles) and January 1, 2020 to August 15, 2021 (1,407 articles). The texts were tokenized into words using KoNLPy package, ultimately coming up with 63,597 words. The analyses included frequency of keywords and topic modeling based on Latent Dirichlet Allocation (LDA) to identify the inherent meanings of related words and each topic. Results: Topic modeling generated three topics in each period (before and during the COVID-19), and the results showed that pet plants in daily life have become the object of 'emotional support' and 'healing' during social distancing. In particular, pet plants, which had been distributed as a solution to prevent solitary deaths and depression among seniors living alone, are now expanded to help resolve the social isolation of the general public suffering from COVID-19. The new term 'plant butler' became a new trend, and there was a change in the trend in which people shared their hobbies and information about pet plants and communicated with others in online. Conclusion: Based on these findings, the trend data of pet plants before and after the outbreak of COVID-19 can provide the basis for activating research on pet plants and setting the direction for development of related industries considering the continuous popularity and trend of indoor gardening and green hobby.

OLE File Analysis and Malware Detection using Machine Learning

  • Choi, Hyeong Kyu;Kang, Ah Reum
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.5
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    • pp.149-156
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    • 2022
  • Recently, there have been many reports of document-type malicious code injecting malicious code into Microsoft Office files. Document-type malicious code is often hidden by encoding the malicious code in the document. Therefore, document-type malware can easily bypass anti-virus programs. We found that malicious code was inserted into the Visual Basic for Applications (VBA) macro, a function supported by Microsoft Office. Malicious codes such as shellcodes that run external programs and URL-related codes that download files from external URLs were identified. We selected 354 keywords repeatedly appearing in malicious Microsoft Office files and defined the number of times each keyword appears in the body of the document as a feature. We performed machine learning with SVM, naïve Bayes, logistic regression, and random forest algorithms. As a result, each algorithm showed accuracies of 0.994, 0.659, 0.995, and 0.998, respectively.

Analysis on the Types of Benefits of Gardens in Urban Areas: Comparison of Korea and Overseas Cases

  • Park, Jiwon;Jeong, Miae
    • Journal of People, Plants, and Environment
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    • v.23 no.6
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    • pp.667-681
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    • 2020
  • Background and objective: Recently, there has been an increasing need for relaxation and familiarity with nature in residential and living spaces faced daily by urban residents, leading to a growing social interest in urban gardens. The aim of this study was to determine how gardens in a city provide physical and social benefits, comparing cases in Korea and overseas. Methods: We used the keywords "garden" and "city" for Korea, and "urban," "garden," and "green" for overseas. We then determined the Korean and overseas research trends in urban gardens by analyzing 63 Korean and 90 overseas articles deemed suitable for this study. Results: As to the types of urban gardens, the most significant type was community gardens, both in Korea and overseas (30.2% and 48.6%, respectively), followed by rooftop gardens in Korea (22.2%) and kitchen gardens overseas (22.2%). Due to the narrow and complex urban structure in Korea, people focus on using rooftop, wall, and alley spaces, and tend to arrange container-type flexible gardens. Overseas there has been a focus on promoting health and reducing food inequality through allotment and kitchen gardens, and a tendency to use a larger area as a fixed form than Korea. In addition, it was found that gardens in urban areas had a positive effect on urban biodiversity. Conclusion: To sum up, gardens in Korea are close to living spaces, and gardens overseas influence the ecosystem with an emphasis on food production. Therefore, creating urban gardens is a method of urban regeneration with a high utility that goes beyond mere food production, both in Korea and overseas, providing comprehensive benefits for the environment (37.73%) and society (62.27%). As such, continuous research on this area of study is needed to create policy guidelines for Korea.