• Journal of the Korean earth science society
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• v.43 no.2
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• pp.253-264
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• 2022

The effect of decreased human activity on the urban heat island intensity (UHII) was analyzed using the observed temperature data of six sites (including one reference area) in Daejeon Metropolitan City from February to May of 2019 to 2021. Depending on the observation site, UHII decreased by approximately 20% in 2020 and 2021 compared to 2019 before COVID-19. The decrease in human activity increased UHII at night and decreased it during the daytime. Consequently, UHII diurnal amplitude increased by approximately 20% in 2020 and 2021 compared to 2019, irrespective of location. The decrease in UHII did not appear to be significantly correlated with natural factors such as wind speed and social distancing steps. In contrast, UHII was correlated with social distancing and significantly reduced air pollutants after COVID-19, with the most significant correlation observed for NO₂.

• Journal of Information Science Theory and Practice
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• v.10 no.1
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• pp.30-44
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• 2022

This research aims to identify and reveal the meaning of memes about COVID-19, and explain changes in meme content in regard to the information development of COVID-19 in Indonesia published by the mass media and online media. The data is sourced from memes that are shared on social media, especially WhatsApp groups in the period of January to June 2020. To reveal the meaning of memes, a semiotic analysis of Roland Barthes' model is used. Qualitative analysis is used to reveal the relationship between memes and the information development of COVID-19 in Indonesia. The results of the study show that meme content has shifted according to three stages of information development of COVID-19 in Indonesia published by the mass media and online media. When COVID-19 was not yet confirmed in Indonesia, meme content contained mostly humor that was not educative, moreover it seemed to underestimate the coronavirus. Meme content which is mostly humorous and pornographic occurred when COVID-19 was confirmed in Indonesia and during the lockdown policy. At last, as the government has begun to distribute social assistance, the meme content looks more critical. The results of this research emphasize the urgency of the mass media as a source of public information during the COVID-19 pandemic, become a reference for the community in making memes as a forum for expressing feelings and social criticism, and serve as a reference for the government to act and make the right decisions related to the pandemic that is endemic in their country.

• Journal of Appropriate Technology
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• v.6 no.2
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• pp.211-218
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• 2020

Since World Health Organization (WHO) declared Pandemic about COVID-19 at 11 March, 2020, 214 countries now have more than 5.8 million confirmed cases and 360 thousand deaths (29 March 2020). The pandemic of COVID-19 caused lockdown in numerous countries and cities. Strict social distancing also affects most of fields such as health, education, politics, religion, and economy. South Korea actively uses various digital technologies to fight against COVID-19, which is introduced internationally as a successful example. This article introduces the development background and functionalities of COVID-19 Epidemic Investigation Support System (EISS) as well as Smart City Datahub, the core technology that enables the rapid development and application of EISS. Moreover, based on this example, the role and importance of horizontal common platform, such as Datahub, are discussed in the view of future city.

• Asia-Pacific Journal of Business
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• v.12 no.1
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• pp.71-86
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• 2021

Purpose - This study examines the awareness regarding the symptoms of COVID-19 exposures and safety distances strategies whether they were useful to resile the businesses a mid of the pandemic. Besides exploring the awareness and safety distances, the effectiveness of offering free use of protective equipment (mask, hand sanitizer, frequent hand washing, etc.) to the customers for visiting the business centers was also examined. Design/methodology/approach - This study collected 264 survey data in Bangladesh which is one of the most densely populated country and very vulnerable for COVID-19 due to its socio-economic condition. The multiple regression analysis is used to analyze the data. Findings - The findings of the study indicate that the awareness about the symptoms of virus exposures (cough, fever, diarrhea, and weakness) has significant affirmative effects to enhance the public movement for business purposes with the lower possibility to be affected by the virus. The study also indicates that safety distances and protective equipment can mediate the significant positive relationship between the awareness of the disease and the businesses' resilient capacity. Research implications or Originality - COVID-19, as an apprehensive health issue in the current world, has sharpened the uncertainty of the businesses. One essential technique as lockdown, has been followed by almost every country to protect the transmission of the virus even though the scholars criticized it due to the substantial adverse effects on the country's economy. Under this circumstances, this study provides implications to the relevant businesses by assessing the nexus between the safety distances and the proper uses of protective equipment with the business resilient.

• Architectural research
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• v.24 no.4
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• pp.105-111
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• 2022

During pandemic period, college students lost lots of such academic opportunities as extra-curriculum social activities, contact classes, and friendly socializing in university campus area, etc. Previous many studies have shown that physical environment has certain relevance on the well-being of human-beings. Recent public statistics on mental health had shown an increase in psychological distress and a decrease in college students and people's well-being during the lockdown in response to the Covid-19 pandemic. However, there were little evidence on what the college students in dormitory suffered from COVID-19 incident in relation with their physical environment. The purpose of this study is to investigate the relationship between environmental factors and psychological well-being of dormitory students in university campus. In order to explore the impact of physical environment on students' psychological well-being, survey instrumentation consisted of 25 indices were employed to measure the level of awareness to each index. A Chi-square analysis on individual characteristics of 200 students found that number of students living in single dwelling unit was statistically significant to maintain their psychological well-being, except for number of students living in each dwelling unit (χ² =128.92, p= .004). Pearson correlation analysis also found that there exists statistically significant relationship between psychological well-being of students and environmental factors. Further, stepwise multiple regression analysis revealed that the most prime predictor for psychological well-being of students residing in dorm was "use of furniture" (β= .281), implying careful design, lay-out and easy-access to interior furniture by facility planner. The study also demonstrated that as the level of positive perception of physical environmental features rose, overall psychological well-being of students also responded positively at specified rate. Finally, the findings reinforce a solid evidence that carefully well-coordinated physical environments play an important role in maintaining emotional stability of college students in dorm even in pandemic period.

• Journal of Industrial Convergence
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• v.21 no.4
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• pp.73-80
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• 2023

This study aims to explore college students' perception for offline class using the online platform Padlet as a tool in liberal arts class during the COVID-19 lockdown. Thirty seven students participated in the study, and quantitative and qualitative methods were used. The statistical results and analysis for open-ended questions are as follows; Firstly, the participants showed satisfaction as the highest variable followed by learning effect, then motivation but participation rated the lowest(p< .001). Secondly, there was statistical significance except participation depending on gender(p< .001). Female students felt higher satisfaction, learning effect, and motivation than male students. Thirdly, there was statistical significance between freshmen and senior depending on grade(p< .001). Freshmen felt higher satisfaction, participation, learning effect, and motivation than seniors. Fourthly, qualitative analysis showed participants felt positive about using Padlet as a education tool in offline class. Finally, the pedagogical implication and suggestions were discussed.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.55-55
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• 2021

지난 2019년 말부터 계속해서 전 세계로 확산되고 있는 COVID-19로 인해, 인간 생활을 둘러싼 사회 및 산업 구조가 다양하게 변모하고 있다. 국내에서는 2020년 2월 발생한 1차 대유행을 기점으로, 2020년 8월 2차 대유행 및 2020년 12월 3차 대유행을 겪었으며, 그 과정에서 마스크 착용 의무화, 개인위생 권장, 사회적 거리두기 등 강력한 예방수칙들이 도입되어 왔다. 특히 COVID-19의 심각성에 따라 단계적으로 발효되는 방역대책 및 사회적 거리두기는 개인뿐만 아니라 상업, 산업 등 대부분의 생활양식을 계속해서 변화시켰으며, 다양한 인프라 시설의 운영 및 관리에 혼란을 야기하고 있다. 세계 각국의 연구기관에서는 이러한 봉쇄령(Lockdown) 정책의 영향으로 물관리 분야에 위기가 닥쳐올 것으로 예견하였으며, 국내의 경우 서울시상수도사업본부 조사에 따르면 가정용수 사용량이 3.4 % 증가하고, 상업 및 공공부문 용수 사용량이 25 %까지 감소하는 등 기존 물 사용 패턴과 상이한 양상을 나타내고 있다. COVID-19 확산이 용수 사용량에 미치는 대표적인 영향은 크게 다음과 같은 세 가지 변화로 구분할 수 있다. 1) 사회적 거리두기 강도에 따른 물 사용량의 급격한 증가와 감소 등 용수 이용규모의 변화, 2) 상업 및 공공부문의 물 수요에서 생활부문 물 수요로 옮겨가는 등 용수 사용처의 변화, 3) 순간 최대 물 사용시간 등 용수 사용패턴의 시간적 변화 등이다. 본 연구에서는 시간별, 수요처별 용수 사용량 등의 상세한 데이터 확보가 가능한 국내 지역을 대상으로, COVID-19의 확산 및 그로 인한 사회적 거리두기의 단계적 시행이 용수 사용량 변화에 미치는 영향을 시공간적으로 분석하였다. 본 연구는 대규모 재난 발생 시 사회적 대응방안에 따른 물 사용량의 변화를 분석함으로써, 현재까지도 지속되고 있는 COVID-19 확산 상황에서 안정적이고 효율적인 상수도 공급방안 마련에 기여하고, 또한 지금까지 물리적 재난 대응에 편중되었던 물 위기 관리 패러다임을 사회적 재난 대응 분야까지 확장시키는 계기를 마련할 것으로 기대된다.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.1
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• pp.291-298
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• 2022

COVID-19 has spread across the world in the last two years, confining people to their homes and shutting down businesses and markets. The world is currently experiencing a catastrophic economic and social crisis. To benefit people and to protect them, industries invented new products. These products were made by small and medium-sized businesses across the globe. In South Asia, there was also a rigorous lockdown, people were laid off, and SMEs adopted E-commerce to assist clients and customers. Therefore, the study aims to analyze the impact of the COVID-19 pandemic on E-commerce adoption through open innovation strategies in South Asian countries. 500 respondents were selected through an online questionnaire to collect data from different countries of South Asia. The prominent countries are; India, Pakistan, and Bangladesh. The results of the study show that perceived compatibility and complexity have a positive influence on E-commerce adoption. In normal circumstances, however, the open innovation model is feasible. Knowledge and experience sharing and management attitude have a moderate impact on E-commerce adoption. These results are beneficial for researchers and SME managers in South Asia to overcome the challenges of the COVID-19 pandemic and increase the number of skilled people employed. This study suggests that SMEs should hire skilled workers to upgrade their systems.

• Journal of Korea Water Resources Association
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• v.54 no.12
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• pp.1255-1263
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• 2021

While it could become an alternative water resource, fog could undermine traffic safety and operational performance of infrastructures. To reduce such adverse impacts, it is necessary to have spatially continuous fog risk information. In this work, tree-based machine-learning models were developed in order to quantify fog risks with routine meteorological observations alone. The Extreme Gradient Boosting (XGB), Light Gradient Boosting (LGB), and Random Forests (RF) were chosen for the regional fog models using operational weather and visibility observations within the Jeollabuk-do province. Results showed that RF seemed to show the most robust performance to categorize between fog and non-fog situations during the training and evaluation period of 2017-2019. While the LGB performed better than in predicting fog occurrences than the others, its false alarm ratio was the highest (0.695) among the three models. The predictability of the three models considerably declined when applying them for an independent period of 2020, potentially due to the distinctively enhanced air quality in the year under the global lockdown. Nonetheless, even in 2020, the three models were all able to produce fog risk information consistent with the spatial variation of observed fog occurrences. This work suggests that the tree-based machine learning models could be used as tools to find locations with relatively high fog risks.

• Journal of Appropriate Technology
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• v.7 no.1
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• pp.102-114
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• 2021

India has recently experienced an acute crisis confronting the COVID-19 pandemic as confirmed cases exceeded 11.73 million in March 2021, which was the second worst scale only after the United States. The strict lockdown measures as well as the pandemic itself posed a serious threat of survival, in particular, to immigrant workers engaged in informal sectors, which triggered their reverse immigration. In case the COVID-19 pandemic continues in 2021, it is estimated that in the sector of tourism and service alone, more than 20 million jobs will disappear. The damage on industry is already being realized with the significant decrease of workforce. It is important to note, however, that jobless growth and labor polarization were observed even before the outbreak of COVID-19, and that the pandemic only served as one of the trigger catalysts that made those submerged problems burst out. In this study, we examine the structural problems in industry and labor market in India and consider the social context and efficacy of the "Make in India" or "Atmanirbhar Bhrat" policy. The latter initiative was presented in the trenches of the pandemic in 2020. While considering the complexity of problems, we would like to pursue a future-oriented approach and propose a direction in restructuring the labor market, attempted at reversing the critical conditions following the fourth industrial revolution and digitization into the shortcut to labor market restructuring.