• Korean Journal of Childcare and Education
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• v.17 no.4
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• pp.129-154
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• 2021

Objective: This research examines the understanding of the competencies required from the director of a childcare center. It also analyzes the characteristics of the capabilities of a director of a daycare center. The research questions are as follows: First, what are the competencies of a childcare center director? Second, what are the characteristics of the competencies of a childcare center director? Methods: In this study, the Q methodology was applied. First, the Q population was identified based on prior studies and through open questionnaires and in-depth interviews targeting 71 teachers and directors of childcare centers. Next, 40 Q samples were selected. Second, P samples were selected targeting the 30 directors, Q sort was conducted, and the data were analyzed using the QUANL program. Results: The main results of this study can be summarized as follows. First, four types of competencies were demanded from the director of a daycare center. Second, the competencies required from the director of a daycare center were accountability-centered, functional-management-centered, human-relationshipcentered, and rationality-centered capabilities. Conclusion/Implications: The policy-level of and educational ways to support the competencies of a director of a daycare center were discussed.

• The Journal of Economics, Marketing and Management
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• v.10 no.4
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• pp.1-12
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• 2022

Purpose: The purpose of this study is to explore how customers perceive virtual mirror technology in the 4th industrial revolution environment. In particular, this study investigated how virtual mirror technology affects customer satisfaction and intention to use that are rarely examined in previous studies. Research questions include how proposed variables including sensory stimulation, enjoyment, product quality, telepresence, interactivity, and immersion affect satisfaction and intention to use and how satisfaction affects intention to use. Research design, data and methodology: This study conducted an online survey and applied factor and regression analyses to test hypotheses. Results: The results of this study found that effects of sensory stimulation, telepresence, and immersion on satisfaction were significant, while effects of enjoyment, product quality, and immersion on intention to use were significant. Therefore, variables affecting satisfaction and intention to use were different, while effects of immersion were significant both on satisfaction and intention to use. Conclusions: This study concluded that the role of virtual mirror technology helps customers determine product quality and increase satisfaction level, while it also helps customers enjoy shopping and increase intent to use the service. The results of this study provide how to foster better relationship with customers by applying advanced technologies.

• International Journal of Advanced Culture Technology
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• v.10 no.3
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• pp.47-56
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• 2022

The purpose of this study is investigate the effects of quality of life and occupational performance on quality of sleep in college students. Data had been collected from Sep. 1 to Sep. 30, 2021. The subjects of this study were students majoring in occupational therapy at C College situated in C region. For analysis, 103 copies of questionnaire were used. As study instruments, a structured questionnaire incorporating questions about general characteristics, and measurement scales for quality of life, quality of sleep, and occupational performance evaluation were applied. Subjective sleep quality and sleep latency of study participants had lower scores than other components. According to the analysis on different quality of sleep depending on general characteristics, women had more sleep disturbances as they didn't have any part-time job. In terms of the correlation between quality of sleep and quality of life, physical health and total score (quality of life) had correlations with daytime dysfunction. With regard to influential factors on quality of sleep, rest & sleep as a domain of occupational performance and work affected quality of sleep. Students' quality of sleep will be improved if they keep regular habits of living, have rest appropriately for alleviating their stress, and do their jobs with interest and successfully according to a procedure. It is expected that the results of this study will be helpful to care for the health of would-be experts in charge of national health care.

• Journal of Korea Trade
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• v.25 no.6
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• pp.34-56
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• 2021

Purpose - This study presents strategies to overcome the COVID-19-induced crisis in Korea's meetings, incentives, conferences, and exhibitions (MICE) industry. It aims to quantitatively identify the environmental factors affecting the industry and their degree of influence, and derive optimal countermeasures. Design/methodology - The study applied the SWOT-AHP-TOWS framework. An AHP analysis was first performed within the SWOT frame, and then a TOWS analysis was conducted using the results of the SWOT-AHP analysis. In the AHP analysis, the number of pairwise comparison questions was limited to four for each SWOT factor to increase the consistency of responses by reducing the burden on respondents. Findings - The plunge in demand (threats factor) has had an overwhelming impact on the MICE industry, more than any other environmental factor. To overcome the crisis, the ST alternative that takes advantage of dynamic pop culture to minimize the business damage caused by the plunge in demand was the top priority measure. Based on the results, this study presents suggestions for overcoming the crisis in the MICE industry. First, the industry should develop profitable business models to supplement scarce financial resources by exploiting Korea's success with quarantine management. Second, the government must provide emergency relief funds or bailout support to protect MICE facilities and employees. Originality/value - Unlike previous work on the MICE industry, this study utilized the SWOT-AHPTOWS framework to derive quick research results in an abnormal situation. This approach can be expanded to other countries with different industrial environments and situations. Additionally, when applying this method to MICE sub-sectors, countermeasures should be tailored to each field.

• Nonlinear Functional Analysis and Applications
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• v.28 no.1
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• pp.11-36
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• 2023

In this presentation, the particles at the matter surface (metal, crystal, nano) will be considered as the control target outside the physical domain. As is well known that control problems of quantum particles at surface had been investigated in various aspects in last couple of years, but the realization of control would become rather difficult than theoretical results. Especially, whether surface control would be valid? what kind of particles at what kind of matter surfaces can be controlled? so many questions still left as the mystery in the current research literature and papers. It means that the direct control sometime does not easy. On the other hands, control outside the physical domain is quite a interest consideration in mathematics, physics and chemistry. The main plan is to take the quantum systems operator (such as Laplacian ∆) in the form of fractional operator (∆^s , 0 < s < 1), then to consider the control outside of physical domain. Fortunately, there are many published articles in the field of applied mathematics can be referred for the achievement of control outside of domain. The external quantum control would be a fresh concept to do the physical control, first in the theoretic, second in the computational, final in the experimental issues.

• International Journal of Computer Science & Network Security
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• v.23 no.9
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• pp.166-176
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• 2023

A scenario known as conflict in face recognition may arise as a result of some disparity-related issues (such as expression, distortion, occlusion and others) leading to a compromise of someone's identity or contradiction of the intended message. However, addressing this requires the determination and application of appropriate procedures among the various conflict theories both in terms of concepts as well as resolution strategies. Theories such as Marxist, Game theory (Prisoner's dilemma, Penny matching, Chicken problem), Lanchester theory and Information theory were analyzed in relation to facial images conflict and these were made possible by trying to provide answers to selected questions as far as resolving facial conflict is concerned. It has been observed that the scenarios presented in the Marxist theory agree with the form of resolution expected in the analysis of conflict and its related issues as they relate to face recognition. The study observed that the issue of conflict in facial images can better be analyzed using the concept introduced by the Marxist theory in relation to the Information theory. This is as a result of its resolution strategy which tends to seek a form of balance as result as opposed to the win or lose case scenarios applied in other concepts. This was also consolidated by making reference to the main mechanisms and result scenario applicable in Information theory.

• Korean Journal of Artificial Intelligence
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• v.11 no.3
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• pp.7-15
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• 2023

Purpose: The purpose of this study is to investigate how consumers perceive electric vehicles and factors that affect attitude, satisfaction, and intention to use electric vehicles and to explore policy issues regarding climate change and global environment. By classifying actual and potential users, this study developed the following research questions: i) factors including economic feasibility, sociality, environmental sustainability, inefficiency, inconvenience, convenience, and uncertainty affect attitude to electric vehicles; ii) attitude to electric vehicles affects actual consumers' satisfaction; and iii) attitude to electric vehicles affects potential users' intention to use. Research design, data and methodology: This study conducted an online survey and applied factor and regression analyses and ANOVA to test hypotheses. Results: The results of this study found that economic feasibility and convenience factors significantly affect attitude in both cases of actual and potential users. How actual users perceive efficiency of electric vehicles negatively and uncertain issues such as battery technology affect attitude to electric vehicles. Conclusions: This study provides policy implications that foster promotional policies for the adoption of electric vehicles for environment and regulate negative aspects. This study also provides managerial implications for manufacturers to develop better technology competences to enhance reliability on electric vehicles.

• Journal of Engineering Education Research
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• v.26 no.1
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• pp.3-11
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• 2023

The purpose of this study is to develop Raspberry Pi-based CanSat instruction materials for liberal arts classes to be used in university space education. The educational satellite simulation program is developed by applying the ADDIE program consisting of analysis, design, development, execution, and evaluation of 15 lessons per semester. The usefulness of the instruction materials is evaluated by a validity test of a total of 6 experts. The proposed materials are applied to 100 college students from various majors. To analyze the impact on creative problem-solving ability, a questionnaire is conducted before and after class, and as a result, it is confirmed that there is a significant improvement in all areas after class. The class satisfaction survey is conducted for a total of 10 questions, and the average score is 4.41 out of 5, which is high. In conclusion, the proposed instruction materials make it possible to achieve successful space education using Raspberry Pi and improve creative problem-solving ability in universities.

• Computers and Concrete
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• v.31 no.4
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• pp.277-292
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• 2023

Much of our experiments are designed to uncover the cause(s) and effect(s) behind a phenomenon (i.e., data generating mechanism) we happen to be interested in. Uncovering such relationships allows us to identify the true workings of a phenomenon and, most importantly, to realize and articulate a model to explore the phenomenon on hand and/or allow us to predict it accurately. Fundamentally, such models are likely to be derived via a causal approach (as opposed to an observational or empirical mean). In this approach, causal discovery is required to create a causal model, which can then be applied to infer the influence of interventions, and answer any hypothetical questions (i.e., in the form of What ifs? Etc.) that commonly used prediction- and statistical-based models may not be able to address. From this lens, this paper builds a case for causal discovery and causal inference and contrasts that against common machine learning approaches - all from a civil and structural engineering perspective. More specifically, this paper outlines the key principles of causality and the most commonly used algorithms and packages for causal discovery and causal inference. Finally, this paper also presents a series of examples and case studies of how causal concepts can be adopted for our domain.