• Journal of Software Assessment and Valuation
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• v.17 no.2
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• pp.109-116
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• 2021

Traditionally, the engineering field has been dominated by face-to-face education focused on experimental practice, but demand for online learning has soared due to the rapid development of IT technology and Internet communication networks and recent changes in the social environment such as COVID-19. In order for efficient online education to be conducted in the engineering field, where the proportion of experimental practice is relatively high compared to other fields, virtual laboratory practice content that can replace actual experimental practice is very necessary. In this study, we developed a line tracer model and a virtual experimental software to simulate it for efficient online learning of microprocessor applications that are essential not only in the electric and electronic field but also in the overall engineering field where IT convergence takes place. In the developed line tracer model, the user can set various hardware parameter values in the desired form and write the software in assembly language or C language to test the operation on the computer. The developed line tracer virtual experimental software has been used in actual classes to verify its operation, and is expected to be an efficient virtual experimental practice tool in online non-face-to-face classes.

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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• v.28 no.1
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• pp.1-8
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• 2022

With the spread of COVID-19 worldwide, non-face-to-face services have grown rapidly, but at the same time, the problem of plastic waste is getting worse. Accordingly, eco-friendly policies such as carbon neutrality and sustainable circular economy are being promoted worldwide. Due to the high demand for eco-friendly products, the packaging industry is trying to develop eco-friendly packaging materials using PLA and PBAT and create new business models. On the other hand, Ulva australis occurs in large quantities in the southern seas of Korea and off the coast of Jeju Island, causing marine environmental problems. In this study, lactic acid was produced through dilute acid pretreatment, enzymatic saccharification, and fermentation processes to utilize Ulva australis as a new alternative energy raw material. In general, seaweeds vary in carbohydrate content and sugar composition depending on the species, harvest location, and time. Seaweed is mainly composed of polysaccharides such as cellulose, alginate, mannan, and xylan, but does not contain lignin. It is difficult to expect high extraction yield of the complex polysaccharide constituting Ulva australis with only one process. However, the fusion process of dilute acid and enzymatic saccharification presented in this study can extract most of the sugars contained in Ulva australis. Therefore, the fusion process is considered to be able to expect high lactic acid production yield when a commercial-scale production process is established.

• Knowledge Management Research
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• v.23 no.2
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• pp.123-142
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• 2022

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.

• Journal of the Daesoon Academy of Sciences
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• v.45
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• pp.187-226
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• 2023

In contemporary society, digital media has become an integral part of daily life that shapes how people interact with the world around them. This phenomenon has also influenced religious activities and practices. Studies on digital religion and religious practices among digital natives in the Western world have indicated that traditional religious practices are on the decline. Instead, more accessible and flexible forms of religious activities and beliefs are emerging. Given this context, it is important to investigate whether similar trends are occurring in Korea. This study aims to explore the religious activities and expressions of Korean individuals in the online environment. Specifically, the study focuses on four main areas: ①the online religious activities of established religions such as Protestantism, Buddhism, and Catholicism; ②the online religious activities related to divination belief systems such as the Four Pillars of Destiny (四柱 saju) and Tarot; ③online holy sites and wish comments or chats; and ④popular religious neologisms such as jileumshin (지름神 a god with the power to justify consumption) and gatsaeng (갓[God]生 one's best life). Through this review, it can be ascertained that religious ideas and practices are restricted by the attributes of digital media. This implies that the emergence of simplistic forms of religious ideas and activities is associated with the features of digital media and the consumption of digital content.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.266-269
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• 2022

As the emotional problems experienced by modern people after COVID-19 have increased, the burden on clients due to negative perceptions of psychological counseling and physical limitations is still high. Therefore, this study proposes a virtual counseling platform for effective counseling using the characteristics of people in their 20s who are open to relationships in non-face-to-face relationships. To this end, a survey was conducted for those in their 20s and in-depth interviews with counselors were conducted. After that, a 3D virtual counseling environment was created through Unity to PC-based service. As a result of the study, it was found that the most important factor in counseling in the 20s was the tendency of counselors and an atmosphere without burden, which was closely related to self-opening in counseling. Therefore, it was possible to participate in counseling while looking at the counselor character in a 3D space created in comfortable atmosphere, and various interaction elements with the counselor were provided during counseling. The significance of this study aims to promote self-openness of clients in their 20s and actively participate in counseling. This is expected to greatly help improve psychological problems through smooth counseling.

• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.285-301
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• 2023

Due to the increasing demand and importance of non-face-to-face education, open online learning platforms are getting interests both domestically and internationally. These platforms exhibit different characteristics from online courses by universities and other educational institutions. In particular, students engaged in these platforms can receive more learner autonomy, and the development of tools to assist learning is required. From the past, researchers have attempted to utilize process mining to understand realistic study behaviors and derive learning patterns. However, it has a deficiency to employ it to the open online learning platforms. Moreover, existing research has primarily focused on the process model perspective, including process model discovery, but lacks a method for the process pattern and instance perspectives. In this study, we propose a method to identify learning patterns within an open online learning platform using process mining techniques. To achieve this, we suggest three different viewpoints, e.g., model-level, variant-level, and instance-level, to comprehend the learning patterns, and various techniques are employed, such as process discovery, conformance checking, autoencoder-based clustering, and predictive approaches. To validate this method, we collected a learning log of machine learning-related courses on a domestic open education platform. The results unveiled a spaghetti-like process model that can be differentiated into a standard learning pattern and three abnormal patterns. Furthermore, as a result of deriving a pattern classification model, our model achieved a high accuracy of 0.86 when predicting the pattern of instances based on the initial 30% of the entire flow. This study contributes to systematically analyze learners' patterns using process mining.

• Journal of Korean Library and Information Science Society
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• v.54 no.2
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• pp.131-154
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• 2023

This study analyzed the effectiveness of visiting reading programs for vulnerable children, focusing on the case of libraries in A-si, Gyeonggi-do. Library A utilized a visiting teacher to deliver books that matched the children's levels and interests through non-face-to-face interactions, or to engage in face-to-face reading sessions and deliver books together. In 2022, a total of 158 individuals from 103 families participated in the program, with 103 individuals from 67 families delivering books and 55 individuals from 36 families engaging in book reading activities. Pre- and post-project surveys were conducted to assess the reading effects, and interviews were conducted with the visiting teachers. The analysis revealed that the level and interest of the children during book delivery and reading sessions were identified, and the effects of reading books with high levels of interaction were significant. Infants who were able to easily acquire reading experiences according to their age exhibited better reading effects compared to elementary school students. The program aimed at the new participant group showed slightly greater effectiveness than the group of continuing participants. Furthermore, following the implementation of the program, improvements were observed in reading interest, reading attitude, reading environment, reading interaction, self-esteem, social skills, language ability, reading proficiency, self-directed learning ability, and library utilization rate.

• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.119-126
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• 2023

Due to the COVID-19 phenomenon, more than one-third of SMEs in Korea have been working from home. Therefore, we tried to find out the management status of SMEs and find policy support. The survey data was based on the Bank of Korea's corporate management analysis 2021 data. As a result of the study, the debt of SMEs increased from 362 trillion won(2019) to 409 trillion won(2022), while their capital decreased from 489 trillion won(2019) to 336 trillion won(2022). Net profit and loss increased to 14.9 trillion won(2019) and 23.3 trillion won(2021). As a result of the company's financial soundness analysis, First, for stability, the current ratio was high compared to the total industry and the dependence on borrowings was high. Second, profitability improved from 3.20%(2019) to 4.28%(2021), but it was lower than 5.01%(2021) for all industries. Third, the growth rate showed an increase of 12.43%, which is 1.57 times faster than the total asset growth rate of 7.94%(2021) for all industries. As for the growth rate of sales, all industries(2021) showed (-)growth, while SMEs among manufacturing industries showed a growth rate of 14.78%. Fourth, as for activity, the total asset turnover ratio was higher at 0.96% compared to 0.73 for all industries. In conclusion, stability and profitability were low and growth potential was high compared to all industries. In the future, policies that focus on industries with high growth potential are needed.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.377-391
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• 2022

The objective of this study is to understand the operational status of the support projects for childcare in daycare centers operated by the Support Centers for Childcare(SCC) during the COVID-19 pandemic and find ways to improve and develop the project operation. To this end, data were collected and analyzed through in-depth interviews from the 1st week to the 4th week of February 2022 with six childcare agents in charge of the support projects for childcare in daycare centers in the SCC located in Seoul and Gyeonggi Province. As a result of the study, it was found that the demand for diversification of project operation methods, expansion of non-face-to-face education, individual consulting, and small-scale education increased while operating the support projects for childcare in daycare centers in the SCC during the COVID-19 pandemic. Operational difficulties were found to be a lack of ability to use media, the burden of coping with unpredictable situations, and insufficient communication between daycare centers and childcare policy institutions. As for the support needs, it was found that it is necessary to employ computer specialists, establish an environment for activating online education, and provide an efficient work delivery system in emergencies.

• Knowledge Management Research
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• v.24 no.3
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• pp.173-193
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• 2023

Digital transformation and the COVID-19 pandemic have facilitated the rapid development and dissemination of non-face-to-face technologies such as self-service technologies (SSTs). This research investigates how motivation factors affect consumers' negative responses to digital shadow work (DSW) in SSTs which decreases their continuous use intention of SSTs. Also, we examine whether the grafication delay ability moderates the relationship between consumers' negative responses to DSW and their continuous use intention of SSTs. By an analysis of usable 450 user respondents via SmartPLS 4.0, perceived benefits was found to significantly influence consumers' negative responses to DSW. Also, consumers' negative responses to DSW can significantly decrease their intention to continue using SSTs. Further, the effect of negative responses to DSW on continuous use intention of SSTs is stronger in case of consumers with low gratification delay ability than in case of consumers with high gratification delay ability. The study findings contribute to providing some strategies for companies operating SSTs by examining the effects of consumer's responses to DSW and gratification delay ability on the continuous usage intention of SSTs.