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.
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.
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.
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.
The non-face-to-face environment accelerated by COVID-19 has speeded up the dissemination of digital virtual ecosystems and metaverse. In order for the metaverse to be sustainable, digital twins that are compatible with the real world are key, and critical technology for that is AR (Augmented Reality). In this study, we examined research trends about AR, and will propose the directions for future AR research. We conducted LDA based topic modeling on 11,049 abstracts of published domestic and foreign AR related papers from 2009 to Mar 2022, and then looked into AR that was comprehensive research trends, comparison of domestic and foreign research trends, and research trends before and after the popularity of metaverse concepts. As a result, the topics of AR related research were deduced from 11 topics such as device, network communication, surgery, digital twin, education, serious game, camera/vision, color application, therapy, location accuracy, and interface design. After popularity of metaverse, 6 topics were deduced such as camera/vision, training, digital twin, surgical/surgical, interaction performance, and network communication. We will expect, through this study, to encourage active research on metaverse AR with convergent characteristics in multidisciplinary fields and contribute to giving useful implications to practitioners.
KIPS Transactions on Software and Data Engineering
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v.11
no.8
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pp.325-330
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2022
This paper conducts the collection and experiment of datasets for deep learning research on sign language such as sign language recognition, sign language translation, and sign language segmentation for Korean sign language. There exist difficulties for deep learning research of sign language. First, it is difficult to recognize sign languages since they contain multiple modalities including hand movements, hand directions, and facial expressions. Second, it is the absence of training data to conduct deep learning research. Currently, KETI dataset is the only known dataset for Korean sign language for deep learning. Sign language datasets for deep learning research are classified into two categories: Isolated sign language and Continuous sign language. Although several foreign sign language datasets have been collected over time. they are also insufficient for deep learning research of sign language. Therefore, we attempted to collect a large-scale Korean sign language dataset and evaluate it using a baseline model named TSPNet which has the performance of SOTA in the field of sign language translation. The collected dataset consists of a total of 11,402 image and text. Our experimental result with the baseline model using the dataset shows BLEU-4 score 3.63, which would be used as a basic performance of a baseline model for Korean sign language dataset. We hope that our experience of collecting Korean sign language dataset helps facilitate further research directions on Korean sign language.
Journal of the Korean Institute of Landscape Architecture
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v.50
no.5
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pp.1-12
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2022
COVID-19 led to an increased need for mountainous urban parks in the city that can be enjoyed while moving rather than staying put. However, studies on the economic value of mountainous urban parks have been insufficient. As a result, this study investigates the economic value of Gyeyangsan, a mountainous urban park located in the city, by quantifying the value of natural resources provided to residents and analyzing the factors affecting these values. The results are summarized below. First, according to the economic value assessment of Gyeyangsan, the use value was 2,210 won per person or 4.42 billion won per year, and the preservation value was 6,182 won per household, or 129.37 billion won. Gyeyangsan's total assets value was assessed as 3.68 trillion won. Second, according to the estimates of the willingness to pay and the determinants for the use-value, the frequency of visits, age, and use satisfaction significantly impacted the intention to pay for the use-value. Third, according to the estimates of the willingness to pay and the determinants for the preservation value, the intention to revisit, volunteer participation, educational level, gender, and residence significantly influenced the intention to pay for the preservation value. According to the findings of this study, it will be possible to make crucial policy implications when setting a direction for future park management by presenting a practical policy plan for the maintenance of mountain parks in downtown areas and will broaden the scope of research.
Despite the consumption of disinfectants have been increased by COVID-19 pandemic, the fate of the chemicals in aquatic food webs are still unclear. In order to understand the trophic transfer of the chemicals, the concentration of disinfectants including six benzalkonium chloride (BACs) and five didecyldimethylammonium chlorides(DDACs) were measured at the Geum (2020), Han (2021), and Yeongsan River (2021), before and after rainfall. The highest concentration of ∑BACs (mainly C12 and C14) and ∑DDACs (mainly C10 and C14) were observed in the Han River, followed by Yeongsan River, Geum River Estuary, and Gapcheon. After rainfalls, both concentration and detection frequency were decreased in all sites. Although the BAC and DDAC seems to be accumulated in organisms, they were bio-diluted rather than magnified in the aquatic food web with the biomagnification factor(BMF) of less than 1, trophic magnification slope (TMS) from -0.236 to 0.001, and trophic magnification factor(TMF) from 0.85 to 1.01.
Background: We present a case of asthma-chronic obstructive pulmonary disease syndrome (ACOS), which has features of both asthma and chronic obstructive pulmonary disease, in a 63-year-old man treated with Korean medicine. Methods: For four weeks of hospitalization, the patient received acupuncture, Guarujisil-tang decoction, and herbal steam therapy. The main symptoms of ACOS, which are dyspnea, chest discomfort, and throat discomfort, were treated with acupuncture. Guarujisil-tang decoction and herbal steam therapy were administered to relieve cough and smooth the expectoration of mucus. Results: By the end of hospitalization, no significant change was observed in lung function. However, the patient's subjective symptoms, including dyspnea, chest discomfort, sore throat, and sweating, were improved. The patient's objective sign of opaque yellow mucus changed to clear mucus after the treatment. His scores for the quality of life questionnaire for adult Korean asthmatics and the modified Borg scale also showed improvement from 42 to 62 and from 3 to 1, respectively. Conclusions: Although we reported only one ACOS case, this study is significant in that case reports of ACOS treated with Korean medicine are rare. Further study is needed to confirm the effectiveness of Korean medicine in patients with ACOS.
In this study, daily data from January 2002 to June 2022 were used to investigate the relationship between risk-return relationship and market fear, uncertainty, stock market, and maritime freight index for the crude oil market. For this study, the time varying EGARCH-M model was applied to the risk-return relationship, and the wavelet consistency model was used to analyze the relationship between market fear, uncertainty, stock market, and maritime freight index. The analysis results of this study are as follows. First, according to the results of the time-varying risk-return relationship, the crude oil market was found to be related to high returns and high risks. Second, the results of correlation and Granger causality test, it was found that there was a weak correlation between the risk-return relationship and VIX, EPU, S&P500, and BDI. In addition, it was found that there was no two-way causal relationship in the risk-return relationship with EPU and S&P500, but VIX and BDI were found to affect the risk-return relationship. Third, looking at the results of wavelet coherence, it was found that the degree of the risk-return relationship and the relationship between VIX, EPU, S&P500, and BDI was time-varying. In particular, it was found that the relationship between each other was high before and after the crisis period (financial crisis, COVID-19). And it was found to be highly associated with organs. In addition, the risk-return relationship was found to have a positive relationship with VIX and EPU, and a negative relationship with S&P500 and BDI. Therefore, market participants should be well aware of economic environmental changes when making decisions.
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