• Title/Summary/Keyword: COVID19

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Analysis of art & culture consumption propensity according to art & culture experience after COVID19: analysis of differences by art & culture perception (코로나19 이후 문화예술경험에 따른 문화예술 소비성향 분석 - 문화예술 인식에 따른 차이분석 -)

  • So, Eun Hye
    • Korean Association of Arts Management
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    • no.60
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    • pp.155-191
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    • 2021
  • The purpose of this study is to analyze the effect of art and culture experience according to art and culture perception on art and culture consumption. Accordingly, the perception expressed through the experiences of consumers was defined as the delivery of art and culture marketing strategies, and the behavior of consumers enjoying art and culture was measured. The research data were analyzed through an online survey. As a result of the analysis, sense, relation had a significant effect on the hedonistic factor, and the act, sense, emotion and relation had significant effects on the other's consciousness, and the behavioral and emotional factors had a significant effect on the intentional factors. The implication from the experience of relationships with others was found to have a negative(-) effect on all factors, which means to be the result of consumers' anxiety in enjoying art due to the pandemic. It is necessary to develop an online business model for consumers who naturally avoid it, and to narrow the gap between online and offline art and culture. Second, it is thought that sponsorship from companies is necessary so that artists who provide art and culture can produce high-quality contents. In the future, if it was studied the relationship between not only consumers who enjoy art and culture, but also suppliers and artists who provide art and culture, it will be able to understand the culture in-depth.

A Method of Machine Learning-based Defective Health Functional Food Detection System for Efficient Inspection of Imported Food (효율적 수입식품 검사를 위한 머신러닝 기반 부적합 건강기능식품 탐지 방법)

  • Lee, Kyoungsu;Bak, Yerin;Shin, Yoonjong;Sohn, Kwonsang;Kwon, Ohbyung
    • Journal of Intelligence and Information Systems
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    • v.28 no.3
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    • pp.139-159
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    • 2022
  • As interest in health functional foods has increased since COVID-19, the importance of imported food safety inspections is growing. However, in contrast to the annual increase in imports of health functional foods, the budget and manpower required for inspections for import and export are reaching their limit. Hence, the purpose of this study is to propose a machine learning model that efficiently detects unsuitable food suitable for the characteristics of data possessed by government offices on imported food. First, the components of food import/export inspections data that affect the judgment of nonconformity were examined and derived variables were newly created. Second, in order to select features for the machine learning, class imbalance and nonlinearity were considered when performing exploratory analysis on imported food-related data. Third, we try to compare the performance and interpretability of each model by applying various machine learning techniques. In particular, the ensemble model was the best, and it was confirmed that the derived variables and models proposed in this study can be helpful to the system used in import/export inspections.

Survey on the Perceptions of Tele-Physical Therapy of Health and Non-Health Majors in Their 20s (20대 보건계열과 비 보건계열 전공자의 원격물리치료에 대한 인식도 조사)

  • Kim, Jin-Ee;Jung, In-Seon;Kim, Ji-Yeon;Nam, Bong-Hyeon;Park, Seo-Young;Shin, Su-Ji;Lee, Geun-Hyung;Lee, Soo-Ah;Lee, Chan-Yeon;Ham, Chae-Yeon;Kim, Min Hee
    • PNF and Movement
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    • v.20 no.3
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    • pp.307-319
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    • 2022
  • Purpose: This study aimed to investigate the perceptions of tele-physical therapy of health and non-health majors. It can provide basic research data for the provision of medical services in the future by identifying the level of awareness of the need for tele-physical therapy and the factors that affect it. Methods: The subjects were adults aged 20 to 29 in Korea, with 199 participants consisting of 83 health majors and 116 non-health majors. The survey was conducted over a period of 14 days. The survey comprised 19 questions, including 10 questions about general characteristics and 9 questions about tele-physical therapy recognition. The results were statistically analyzed using a statistical package program. Results: There was a significant difference between the two groups regarding the recognition of tele-physical therapy, with an average of 2.64 points in health majors and an average of 1.71 points in non-health majors, showing a low overall score. There was no significant difference in perception of the necessity of tele-physical therapy, with an average of 3.71 points in health majors and an average of 3.49 points in non-health majors, showing a high score, which was defined as a score of 3 or higher. Conclusion: Health and non-health majors showed low awareness of tele-physical therapy. A high level of perceived necessity for tele-physical therapy was shown. In the perception of tele-physical therapy in health majors, 'awareness', 'health improvement', and 'convenience' affect the perception of the necessity of tele-physical therapy. In non-health majors, 'knowledge and skills', 'health improvement', 'expected treatment satisfaction', and 'resolving restrictions on hospital visits' affect the perception of the necessity of tele-physical therapy.

Proposal of Promotion Strategy of Mobile Easy Payment Service Using Topic Modeling and PEST-SWOT Analysis (모바일 간편 결제 서비스 활성화 전략 : 토픽 모델링과 PEST - SWOT 분석 방법론을 기반으로)

  • Park, Seongwoo;Kim, Sehyoung;Kang, Juyoung
    • Journal of Intelligence and Information Systems
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    • v.28 no.4
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    • pp.365-385
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    • 2022
  • The easy payment service is a payment and remittance service that uses a simple authentication method. As online transactions have increased due to COVID-19, the use of an easy payment service is increasing. At the same time, electronic financial industries such as Naver Pay, Kakao Pay, and Toss are diversifying the competition structure of the easy payment market; meanwhile overseas fintech companies PayPal and Alibaba have a unique market share in their own countries, while competition is intensifying in the domestic easy payment market, as there is no unique market share. In this study, the participants in the easy payment market were classified as electronic financial companies, mobile phone manufacturers, and financial companies, and a SWOT analysis was conducted on the representative services in each industry. The analysis examined the user reviews of Google Play Store via a topic modeling analysis, and it employed positive topics as strengths and negative topics as weaknesses. In addition, topic modeling was conducted by dividing news articles into political, economic, social, and technology (PEST) articles to derive the opportunities and threats to easy payment services. Through this research, we intend to confirm the service capabilities of easy payment companies and propose a service activation strategy that allows gaining the upper hand in the market.

Development of Demand Forecasting Model for Public Bicycles in Seoul Using GRU (GRU 기법을 활용한 서울시 공공자전거 수요예측 모델 개발)

  • Lee, Seung-Woon;Kwahk, Kee-Young
    • Journal of Intelligence and Information Systems
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    • v.28 no.4
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    • pp.1-25
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    • 2022
  • After the first Covid-19 confirmed case occurred in Korea in January 2020, interest in personal transportation such as public bicycles not public transportation such as buses and subways, increased. The demand for 'Ddareungi', a public bicycle operated by the Seoul Metropolitan Government, has also increased. In this study, a demand prediction model of a GRU(Gated Recurrent Unit) was presented based on the rental history of public bicycles by time zone(2019~2021) in Seoul. The usefulness of the GRU method presented in this study was verified based on the rental history of Around Exit 1 of Yeouido, Yeongdengpo-gu, Seoul. In particular, it was compared and analyzed with multiple linear regression models and recurrent neural network models under the same conditions. In addition, when developing the model, in addition to weather factors, the Seoul living population was used as a variable and verified. MAE and RMSE were used as performance indicators for the model, and through this, the usefulness of the GRU model proposed in this study was presented. As a result of this study, the proposed GRU model showed higher prediction accuracy than the traditional multi-linear regression model and the LSTM model and Conv-LSTM model, which have recently been in the spotlight. Also the GRU model was faster than the LSTM model and the Conv-LSTM model. Through this study, it will be possible to help solve the problem of relocation in the future by predicting the demand for public bicycles in Seoul more quickly and accurately.

A Study on the Impact of Sense of Community on Public Delivery Applications Attitudes and Intentions to Use (지역공동체의식이 공공배달 앱 이용태도와 이용의도에 미치는 영향에 관한 연구)

  • Chung, Jibok
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.127-133
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    • 2022
  • In the wake of COVID-19, more consumers prefer non-face-to-face services and the explosion in the use of delivery apps is shaping a new delivery culture. Meanwhile, in order to solve social problems such as platform monopoly of private delivery apps and increased brokerage fees, many municipalities are launching public delivery apps from 2020 onwards. However, consumers who are used for the existing private delivery apps are not aware of the public delivery apps and the utilization rate is low. In this study, we will look at the impact of sense of community and service quality (information quality, delivery quality) on the intend to use public delivery apps. Studies have shown that SOC and information quality have a significant impact on the attitude of using public delivery apps, but not delivery quality. In addition, the attitude of using public delivery apps has been shown to have a mediating effect on the relationship between SOC, information quality and public delivery app use intentions respectively. Therefore, to activate the public delivery apps, it was found that it is necessary not only to promote, but also to improve user convenience, such as product search and user review inquiry to improve information quality, along with efforts to strengthen the sense of local community.

A Study on the Influencing Factors of the Sales and Surplus Companies of the Townbuses in Seoul (서울시 마을버스 매출액 및 흑자업체의 영향요인에 대한 연구)

  • Jang, Jae-min;Shin, Sung-il;YI, Yong-ju
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.4
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    • pp.115-124
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    • 2022
  • Unlike the semi-public system of city buses, Seoul's townbus are operated on a private operating system, which is poor condition to the changes in the environment. Sales decreased due to a decrease in the number of passengers due to COVID-19 and a demand for conversion due to the advent of competitive transportation methods, and the financial support of Seoul Metropolitan Government is continuously increasing. In this study, to analyze the characteristics of townbus operated by a private operating system, the townbus sales and surplus companies were analyzed by what factors were affected. For the analysis data, townbus financial statements of Seoul in 2018 were used, and townbus sales and surplus companies were applied as dependent variables, and townbus operation system, satisfaction survey, humanities and social variables, and subway and public bicycle characteristics were applied as independent variables. As a result of the analysis, the sales is affected by operating hours per vehicle, in-vehicle safety, the number of households, the number of elderly people, and public bicycle variables, and surplus companies are affected by in-vehicle safety, reliability, and public bicycle variables. In particular, public bicycles, a competitive means of transportation, had an impact on industry sales, and the townbus business environment is expected to become more difficult as time goes by. The industry is seeking self-rescue measures, and Seoul is required to strengthen financial support so that townbus can operate stably.

Racism in the movie ≪Green Book≫ and solutions through discussion (영화 ≪그린북≫에 나타난 인종주의와 토의를 통한 해결 방안)

  • Park, Joo Eun
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.3
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    • pp.159-165
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    • 2022
  • The purpose of this study is to examine racism in the movie ≪Green Book≫ and to find solutions to racism through discussion with students. Set in 1962 in the United States, this film depicts the process of forming a good bond with the black pianist Dr. Shirley and the driver Tony in a racist society. This study utilized the subject of race, one of the subjects covered in the humanities class in the global era of S University in the second semester of 2021. This is because, since the outbreak of racism, the problem of racism has continued to arise in the current COVID-19 pandemic situation. Therefore, the researcher looked at racism and intercultural education as a theoretical background, and looked at cases of racism in movies and cases of racism that have occurred today. The history of racism and discrimination dates back to medieval Europe and was caused by religious conflicts and was attributed to white supremacy. As a solution to this racial discrimination, international organizations suggested intercultural education. And the reason why film was used in this study is because it aims to provoke students' interest and motivation for learning by targeting first-year university students called the digital native generation who were born and grew up with the Internet. In this study, students' solutions to racism were presented using discussion, and then the researcher's solutions were presented.

Analysis of differences in perceptions between schools and companies on the utilization of Edutech (에듀테크 활용에 대한 학교와 기업의 인식차이 분석)

  • Gye, Bo-Kyong;Baek, Song-Yi;Koh, Eun Hyeon;Heo, Duyoung;Youn, Jae-hee
    • Journal of Digital Convergence
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    • v.20 no.5
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    • pp.1-10
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    • 2022
  • As the importance of ICT use in education grows, this study analyzes the differences and characteristics of perceptions of educational fields and industries on the use of Edutech, and proposes policy suggestions for revitalizing Edutech by deriving requirements. Accordingly, a survey was conducted on 201 teachers and 100 companies, and IPA analysis, Borich's needs, basic statistics, and t-test were conducted to find out the necessity and utilization of Edutech. As a result, they were highly aware of the need for the use of Edutech, and perceived that the support or accessibility for Edutech was insufficient. Accordingly, direct exchange between on-site teachers and companies from the product development stage to utilization and follow-up management, professional support for the introduction of Edutech, simplification of the purchase process and deregulation, customized support and training programs according to the characteristics of teachers are required. In the future, it is necessary to consider the changes in education that will occur after COVID-19 and establish appropriate product development and spread strategies.

The Effect of Non-Face-to-Face Class on Core Competencies of College Students in Clothing Major: Focused on Application Case of Flipped Learning (언택트 시대에 비대면 수업이 의류학 분야 대학생의 핵심역량 수준에 미치는 영향: 플립러닝 기법의 적용 사례를 중심으로)

  • Kim, Tae-Youn
    • Journal of Korean Home Economics Education Association
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    • v.34 no.1
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    • pp.151-165
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    • 2022
  • The aim of this study is to examine the effectiveness of non-face-to-face classes conducted due to the COVID-19 crisis. In order to achieve this goal, a non-face-to-face class with flipped learning was applied in one subject of clothing major held at 'S' University in Cheongju, Korea. In addition, this study tried to analyze the differences between pre- and post-non-face-to-face classes in problem analysis ability, resource/information/technology literacy, convergent thinking ability as core competencies, and overall learning satisfaction. As a result, after participating in the non-face-to-face class in which the flipped learning was applied, the students recognized that their abilities improved in the three problem-solving competency sub-areas, and their overall learning satisfaction also increased. The effectiveness of non-face-to-face classes in the field of clothing and fashion has been mainly measured in fashion design and clothing construction courses. However, based on the results of this study, it can be suggested that non-face-to-face classes in a theory-oriented lecture-type class can be effective methods for improving students' core competencies such as problem-solving skills if teaching-learning methods such as flipped learning are applied. Therefore, the results of this study will be useful data for designing differentiated non-face-to-face class strategies in a theory-oriented lecture-type class to improve the core competencies of college students.