• The Journal of the Convergence on Culture Technology
• /
• v.9 no.5
• /
• pp.141-148
• /
• 2023

The purpose of this study is to investigate the impact of college education satisfaction on the employment preparation and social participation of young adults during the pandemic period. To accomplish this research purpose, the researcher used the panel data of Korea Youth Policy Institute and analyzed the eight variables related to college education satisfaction, employment preparation, and social participation. This study's sample consisted of a total of 2,941 individuals, and both structural equation modeling and multigroup structural equation modeling were applied for the analysis. The results revealed that college education satisfaction had a significantly positive influence on the employment preparation activities and social participation of young adults. In the multigroup structural equation modeling analysis, it was found that college education satisfaction had a significantly positive impact on employment preparation and social participation for women, while for men, it only significantly affected employment preparation. Furthermore, college education satisfaction did not show significant effects on the employment preparation and social participation of graduates from junior colleges, but it did have a significantly positive impact on the employment preparation activities of graduates from four-year colleges. Based on these research findings, policy and educational interventions to enhance the college education satisfaction of male students and graduates from junior colleges are required.

• Fashion & Textile Research Journal
• /
• v.24 no.1
• /
• pp.66-80
• /
• 2022

Even before the Covid-19 outbreak, the second-hand fashion market has been growing as the fashion industry strives towards sustainability. It has also accelerated due to the economic contraction caused by the pandemic. In previous studies, the second-hand market has been steadily studied; however, the research is insufficient compared to the diversified market. Therefore, this study investigates changes in consumers' perception of the second-hand fashion market affected by Covid-19. This study collected text data with the keyword 'second-hand fashion' from various blogs. We analyzed 24,000 posts before and after the Covid-19 outbreak by applying the LDA algorithm for topic modeling and content analysis. Seven and nine different topics for the period before and after the pandemic respectively were derived. The results revealed that during the pandemic the consumers realized the practical value of sustainability in their daily lives than they did before the pandemic. Furthermore, they tried to minimize transaction anxiety by using diverse platforms with advanced technology. They also realized economic value by buying and selling sneakers in the popular sneakers resale market. The results could help understand the rapidly growing second-hand fashion market during Covid-19.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.10a
• /
• pp.478-480
• /
• 2022

This content was produced to reduce the stress of the elderly in nursing homes whose outside activities are controlled in a real situation that has accelerated the untact society as the corona pandemic situation continues to be maintained, and to provide visual and auditory enjoyment even inside nursing homes. Nursing seniors get help from social workers through content usage scenarios. By using digital visual culture contents, you can feel the stress that has been continuously accumulated with virtual people, relieve stress and have a sense of identity. Through this content, it will be possible to give a positive effect to the lives of the elderly in nursing care.

• The Korean Journal of Applied Statistics
• /
• v.35 no.6
• /
• pp.755-764
• /
• 2022

This paper is concerned with power transformations in estimating GARCH volatility. To handle a semi-parametric case for which the exact likelihood is not known, quasi-likelihood (QL) rather than maximum-likelihood method is investigated to best estimate GARCH via maximizing the information criteria. A power transformation is introduced in the innovation generating QL estimating functions and then optimum power is selected by maximizing the profile information. A combination of two different power transformations is also studied in order to increase the parameter estimation efficiency. Nine domestic stock prices data are analyzed to order to illustrate the main idea of the paper. The data span includes Covid-19 pandemic period in which financial time series are really volatile.

• 한국정보교육학회:학술대회논문집
• /
• 2021.08a
• /
• pp.341-348
• /
• 2021

With the advent of the pandemic era, non-face-to-face classes are being conducted, and many studies are being conducted on the effects of non-face-to-face classes in many subjects. Since the programming class is a subject that combines knowledge transfer and practice. In the case of non-face-to-face classes, I wanted to know how students perceive them through a survey. The number of students who answered that traditional face-to-face classes were good in terms of ease of question and answer, understanding of class content and immersion in class, and more students answered that non-face-to-face classes were good in terms of securing practice time and class control. It is expected that using the results of this study will help plan effective programming lessons.

• Journal of the Korean Society for information Management
• /
• v.39 no.4
• /
• pp.307-345
• /
• 2022

Due to the prolonged COVID-19 pandemic, metaverse has begun to receive attention as a means of providing future services. The importance of metaverse was further emphasized and metaverse platforms are being used by various institutions. Against this background, cases of using the metaverse platform in libraries are increasing. Therefore, the purpose of this study is to investigate domestic and foreign library cases using the metaverse platform and analyze each platform's characteristics and content types according to the metaverse platform's method. Based on the findings, the implication of the current study suggests the future direction of using the metaverse platform in the library.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.10a
• /
• pp.493-495
• /
• 2022

This video is based on the newly emerged next-generation Media 360 VR. With the development of technology, digital content has developed and the opening of the COVID-19 pandemic untact era, people have found content that they can enjoy without going directly. 360 VR is a next-generation media that allows users to enjoy content in a three-dimensional manner as if they went to the site without having to go to the site. Using this, we would like to study the effective creation of local promotional videos.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2023.05a
• /
• pp.123-125
• /
• 2023

4차 산업혁명의 가속화에 따라 해운 항만 산업 분야 또한 정보적 측면에서 빅 데이터에 대한 업종별 통합과 공유를 통해 연계 산업 간 산업활동 효율화를 위한 노력이 요구된다. 현재 물류 분야에 다양한 플랫폼들이 도입되고 있지만 대부분 화물운송업 또는 창고 중개업 분야에 편중되어 있다. 항만산업의 경우 코로나 펜데믹 이후 발생한 컨테이너 반입 제한 및 장치율 증가 등에 따라 운송사와 컨테이너터미널 간 갈등이 지속적으로 유발되는 상황이 발생되었다. 이에 따라 본 연구는 플랫폼을 활용한 컨테이너터미널과 운송사 간 플랫폼 개발의 필요성을 인지하고 상호 기업 간 연계 효율성을 높일 수 있는 방안을 모색하였으며 산업 관계자인 컨테이너터미널 운영사, 운송사, 포워더 업종 종사자들을 대상으로 설문지 기반 실증 분석을 수행하였다. 결과적으로 EFA를 통해 추출된 14가지 요인으로 IPA 분석을 수행한 결과 1사분면(사용 용이성, 보안성, 정보 정확성, 정보 적시성, 차량 반출/반입정보, 공컨테이너 반입/반출 정보, 풀컨테이너 반입/반출정보)으로 품질에 대한 지속적인 개선이 수행되어야 하며 2사분면(APP 시스템 품질)에 대한 고려가 종합적으로 수행되어야 함이 도출되었다. 또한, 플랫폼 개발의 주체와 이용자의 참여 유도가 필요하며 상호 이해관계자 간 효율적인 연계와 효율화를 위한 인식 구조 개선이 필요하다고 나타났다. 연구결과는 향후 컨테이너터미널과 내륙운송의 효율적인 연계를 위한 플랫폼 구축에 중대한 시사점을 제공한다.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.17 no.1
• /
• pp.47-52
• /
• 2024

Through the coronavirus pandemic, research on the use and advancement of blockchain-based decentralized identity authentication (Decentralized ID) technology is being actively conducted in various fields, centered on the central government, local governments, and private businesses. In this paper, we introduce the results of development based on Hyperledger Fabric to change the existing central server-based identity authentication to a decentralized one. These development results can strengthen the security and transparency of identity authentication systems for commercial purposes and provide stable services for user ID issuance, inquiry, and disposal. In addition, the decentralized identity authentication system verified performance results of DID creation of 262,000 rps and DID inquiry of 1,850 rps, DID VP creation of 200 rps, and DID VP inquiry of 220 rps or less through public authentication.

• The Korean Journal of Applied Statistics
• /
• v.33 no.5
• /
• pp.655-664
• /
• 2020

We apply the GSADF bubble test and its date-stamping method for the daily number of new COVID-19 cases. The test indicates statistically significant explosive expansions of the number of new cases whose periods of panic explosion are identified by the date-stamping method of the bubble test. The date-stamping analysis reveals that as of June 30 2020, the number of daily COVID-19 new cases are still explosively increasing for India; however, they stop explosively increasing (or are under control) for USA, Brazil, Russia, Spain, Turkey, China, and South Korea. It also reveals that South Korea has two disjoint periods of explosion: a stable period follows after the first explosion of 2020.02.20-2020.03.06, and then the second explosion occurs 2020.05.27-2020.06.01 with a stable period that continues up to 2020.06.30.