• Title/Summary/Keyword: 스마트 캠퍼스

Search Result 96, Processing Time 0.02 seconds

A Causal Analysis of COVID-19 Outbreak on Start-ups and Closures by Industry (COVID-19 발생이 업종별 창업 및 폐업에 미치는 인과 영향 분석)

  • Han, Mumoungcho;Son, Jaeik;Noh, Mijin;Rahman, Tazizur;Kim, Yangsok
    • Smart Media Journal
    • /
    • v.11 no.7
    • /
    • pp.9-18
    • /
    • 2022
  • With the outbreak of COVID-19, the world is in unexpected chaos. In particular, the Korean economy, which has a large number of self-employed people, is experiencing enormous damage from COVID-19. The purpose of this study is to analyze the causal impact of start-ups and closures by industry due to the COVID-19 outbreak. For the causal impact analysis, we collected and analyzed 8,312,224 cases of start-up and closure of 190 businesses that occurred on the local administrative license data public site for 11 years from 2010 to 2020. As a result of the analysis of the causal impact of COVID-19, there were 29 industries in which start-ups increased(increase rate 313.14% ~ 6.39%), 23 industries in which start-ups decreased(decrease rate 70.62% ~ 11.27%), 21 industries in which closures increased(increase rate 157.55% ~ 13.57%), and 18 industries in which business closures decreased(reduction rate 49.45% ~ 12.91%). The industries in which start-ups increased and closures decreased due to the COVID-19 outbreak were disinfection, food transportation, and general sales of health functional food. The industries in where start-ups decreased and closures increased due to the COVID-19 outbreak were youth game providing industry, danran pub business, and general game providing industry. It is expected that the results of this study will help practitioners who manage various infectious diseases to understand the causal impact of infectious disease outbreaks and to prepare countermeasures.

Problem Identification and Improvement Measures through Government24 App User Review Analysis: Insights through Topic Model (정부24 앱 사용자 리뷰 분석을 통한 문제 파악 및 개선방안: 토픽 모델을 통한 통찰)

  • MuMoungCho Han;Mijin Noh;YangSok Kim
    • Smart Media Journal
    • /
    • v.12 no.11
    • /
    • pp.27-35
    • /
    • 2023
  • Fourth Industrial Revolution and COVID-19 pandemic have boosted the use of Government 24 app for public service complaints in the era of non-face-to-face interactions. there has been a growing influx of complaints and improvement demands from users of public apps. Furthermore, systematic management of public apps is deemed necessary. The aim of this study is to analyze the grievances of Government 24 app users, understand the current dissatisfaction among citizens, and propose potential improvements. Data were collected from the Google Play Store from May 2, 2013, to June 30, 2023, comprising a total of 6,344 records. Among these, 1,199 records with a rating of 1 and at least one 'thumbs-up' were used for topic modeling analysis. The analysis revealed seven topics: 'Issues with certificate issuance,' 'Website functionality and UI problems,' 'User ID-related issues,' 'Update problems,' 'Government employee app management issues,' 'Budget wastage concerns ((It's not worth even a single star) or (It's a waste of taxpayers' money)),' and 'Password-related problems.' Furthermore, the overall trend of these topics showed an increase until 2021, a slight decrease in 2022, but a resurgence in 2023, underscoring the urgency of updates and management. We hope that the results of this study will contribute to the development and management of public apps that satisfy citizens in the future.

Analysis of Topic Changes in Metaverse Application Reviews Before and After the COVID-19 Pandemic Using Causal Impact Analysis Techniques (Causal Impact 분석 기법을 접목한 COVID-19 팬데믹 전·후 메타버스 애플리케이션 리뷰의 토픽 변화 분석)

  • Lee, Sowon;Mijin Noh;MuMoungCho Han;YangSok Kim
    • Smart Media Journal
    • /
    • v.13 no.1
    • /
    • pp.36-44
    • /
    • 2024
  • Metaverse is attracting attention as the development of virtual environment technology and the emergence of untact culture due to the COVID-19 pandemic. In this study, by analyzing users' reviews on the "Zepeto" application, which has recently attracted attention as a metaverse service, we tried to confirm changes in the requirements for the metaverse after the COVID-19 pandemic. To this end, 109,662 reviews of "Zepeto" applications written on the Google Play Store from September 2018 to March 2023 were collected, topics were extracted using LDA topic modeling technique, and topics were analyzed using the Causal Impact technique to examine how topics changed before and after based on "March 11, 2020" when the COVID-19 pandemic was declared. As a result of the analysis, five topics were extracted: application functional problems (topic1), security problems (topic 2), complaints about cryptocurrency (Zem) in the application (topic 3), application performance (topic 4), and personal information-related problems (topic 5). Among them, it was confirmed that security problems (topic 2) were most affected by the COVID-19 pandemic.

DDoS Attack Analysis Using the Improved ATMSim (개선된 ATMSim을 이용한 DDoS 공격 분석)

  • Jeong, Hae-Duck J.;Ryu, Myeong-Un;Ji, Min-Jun;Cho, You-Been;Ye, Sang-Kug;Lee, Jong-Suk R.
    • Journal of Internet Computing and Services
    • /
    • v.17 no.2
    • /
    • pp.19-28
    • /
    • 2016
  • Internet traffic has been significantly increasing due to the development of information and communication networks and the growing numbers of cell phone users that access networks. This paper connects to this issue by presenting a way to detect and analyze a typical DDoS attack that results in Internet breaches and network attacks, which are on the increase. To achieve this goal, we improve features and GUI of the existing ATMSim analysis package and use it. This package operates on a network flow-based analysis method, which means that normal traffic collected through an internal LAN at the Korean Bible University campus as well as anomaly traffic with DDoS attacks are generated. Self-similarity processes are used to analyze normal and anomaly traffic that are collected and generated from the improved ATMSim. Our numerical results obtained from three Hurst parameter estimate techniques show that there is quantitatively a significant difference between normal traffic and anomaly traffic from a self-similarity perspective.

An Analysis of the Influence of Digital Media Device and Communication Utilization Capabilities on Entrepreneurial Intention : Focusing on the Mediating Effect of Risk-Taking and Proactiveness (디지털 미디어 기기 및 커뮤니케이션 활용역량이 창업의도에 미치는 영향에 대한 분석 : 위험감수성 및 진취성의 매개효과를 중심으로)

  • Lee, Sang Gil;Leen, Jae Mahn
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
    • /
    • v.16 no.1
    • /
    • pp.113-126
    • /
    • 2021
  • After the Corona 19 pandemic in the first half of 2020, the business environment has been changed in a very different way. The convergence in digital device would be the keyword of the future business. Due to the Corona 19 incident, the ability to utilize digital media devices has emerged as an important topic as people are focusing on online. The Corona incident has reminded us of how important digitalization is at all points of contact. This study analyzed the effects of digital media device and communication utilization capabilities on entrepreneurial intention by reflecting the mediating effect of risk-taking and proactiveness. For this study, a survey of 250 ordinary people was conducted and finally 212 valid questionnaires were collected. Statistical techniques were analyzed using Amos23. The analysis of the collected data showed that digital media device utilization and communication utilization did not directly affect entrepreneurship intentions, but it was confirmed that entrepreneurship risk-taking would have an intention to start a business. Through this, it was suggested that the development of start-up programs based on entrepreneurship and digital media utilization capabilities should be strengthened in a smart society centered on information and communication to expand job creation for the digital generation.

Corrosion Behavior and Ultrasonic Velocity in RC Beams with Various Cover Depth (다양한 피복두께를 가진 RC 보의 부식 거동 및 초음파 속도)

  • Jin-Won Nam;Hyun-Min Yang;Seung-Jun Kwon
    • Journal of the Korean Recycled Construction Resources Institute
    • /
    • v.11 no.3
    • /
    • pp.184-191
    • /
    • 2023
  • With increasing corrosion in RC (Reinforced Concrete) structures, cracks occurred due to corrosion products and bearing load resistance decreased. In this study, corrosion was induced through an accelerated corrosion test (ICM: Impressed Current Method) with 140 hours of duration, and changes in USV (Ultra-Sonic Velocity), flexural failure load, and corrosion weight were evaluated before and after corrosion test. Three levels of cover depth (20 mm, 30 mm, and 40 mm) were considered, and the initial cracking period increased and the rust around steel decreased with increasing cover depth. In addition, the USV linearly decreased with decreasing cover depth and increasing amount of corrosion. In the flexural loading test, the bending capacity decreased by more than 10% due to corrosion, but a clear correlation could not be obtained since the corrosion ratio was small, so that the effect of slip was greater than that of reduced cross-sectional area of steel due to corrosion. As cover depth increased, the produced corrosion amount and USV changed with a clear linear relationship, and the cracking period due to corrosion could be estimated by the gradient of the measured corrosion current.