• Journal of the Korean Society of Visualization
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• v.21 no.2
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• pp.63-71
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• 2023

Energy storage and distribution technologies are emerging as important factors as research on renewable energy continues. Analyzing the thermal flow of phase change material inside a latent heat storage device and to predict the phase change time is an important part for improvement of thermal performance. However, most of the current research is based on the trial-and-error experimental investigation to measure the phase change time. Therefore, in this study, a can-type phase change material container was designed, and the numerical method for analyzing the thermal flow of phase change material was established and validated. The error rate of the phase change time between the numerical and experimental results was within 5%, which proves its reliability. As a result, the phase change finishing times were found to be 78 minutes with inlet fluid temperature of 80℃ during charging process, and 126 minutes with inlet fluid temperature of 9℃ during discharging process.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.639-640
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• 2015

Traditional construction planning based on historical data and heuristic adjustment can no longer incorporate all the operational details and guarantee the expected performance. The variation between the expected and the actual production leads to cost overruns or delay. Although predicting reliable productivity on construction site is getting more important, the difficulty of this increases. In this regard, this paper suggested to develop BIM-integrated simulation framework. This framework could predict productivity dynamics by considering factors affecting on construction productivity at operational phase. We developed the following processes; 1) enabling a BIM model to produce input data for simulation; 2) developing the construction operation simulation; 3) running simulation using BIM data and obtaining productivity results. The BIM-integrated simulation framework was tested with structural steel erection model because steel erection work is one of the most critical process influencing on the whole construction budget and duration. We could improve to predict more dynamic productivity from this framework, and this reliable productivity helps construction managers to optimize resource allocation, increase schedule reliability, save storage cost, and reduce material loss.

• Human Ecology Research
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• v.61 no.3
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• pp.281-295
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• 2023

This study examined consumer attitudes and intentions to participate in reward-based crowdfunding projects for fashion products. We focused on consumer innovation, price sensitivity, conformity, and consumer values as factors that might influence such attitudes and intentions. A survey was conducted with 228 individuals aged 18 years and older who are aware of or have had experience using crowdfunding. Respondents were asked to answer questions based on the example of actual fashion crowdfunding projects. To analyze the data, reliability tests, the generation of descriptive statistics, factor analysis, and multiple regression were performed using SPSS 25.0. The results revealed that consumer innovativeness, non-conforming tendency, and emotional, quality, social, and ethnical consumer values had a significant influence on attitudes, which in turn affected intentions to participate in crowdfunding. Consumer innovativeness, price sensitivity, emotional value, and social value also had a direct influence on intentions to participate. In addition to its academic contribution, this study has important marketing implications for project initiators striving to identify and understand consumers who are willing to participate in reward-based crowdfunding for fashion products.

• Journal of Information Technology Services
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• v.22 no.6
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• pp.37-53
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• 2023

With the development of the 4th industrial revolution, companies are trying to introduce new AI technologies and improve their performance. In particular, chatbot technology has developed and can not only communicate smoothly with humans, but also perform many complex tasks, so it has high market potential. However, there is still little research on chatbots in the field of e-commerce. Accordingly, this study aims to suggest ways to improve corporate performance through chatbot user satisfaction analysis. With the rapid development of China's e-commerce platform, In this study, through previous studies, the characteristics of chatbots were classified into accessibility, accuracy, empathy, reliability, and intimacy as factors influencing perceived usefulness, perceived ease, and perceived enjoyment of the Technology Acceptance Model (TAM). Five were selected and used as independent variables, and a model that affects customer satisfaction was set up. This paper sets user satisfaction as an important indicator of chatbot service and analyzes the path that affects user satisfaction, thereby improving chatbot service technology. It is important in that it provides a way to improve the smart chatbot service by understanding the degree of user acceptance in depth.

• Research in Mathematical Education
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• v.26 no.4
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• pp.333-349
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• 2023

Recently, AI has become a crucial tool in mathematics education due to advances in machine learning and deep learning. Considering the importance of AI, examining teachers' beliefs about AI in mathematics education (AIME) is crucial, as these beliefs affect their instruction and student learning experiences. The present study developed a scale to measure preservice teachers' (PST) beliefs about AIME through factor analysis and rigorous reliability and validity analyses. The study analyzed 202 PST's data and developed a scale comprising three factors and 11 items. The first factor gauges PSTs' beliefs regarding their roles in using AI for mathematics education (4 items), the second factor assesses PSTs' beliefs about using AI for mathematics teaching (3 items), and the third factor explores PSTs' beliefs about AI for mathematics learning (4 items). Moreover, the outcomes of confirmatory factor analysis affirm that the three-factor model outperforms other models (a one-factor or a two-factor model). These findings are in line with previous scales examining mathematics teacher beliefs, reinforcing the notion that such beliefs are multifaceted and developed through diverse experiences. Descriptive analysis reveals that overall PSTs exhibit positive beliefs about AIME. However, they show relatively lower levels of beliefs about their roles in using AI for mathematics education. Practical and theoretical implications are discussed.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.21 no.4
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• pp.543-558
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• 2023

Currently, Japan is undertaking a nationwide project to measure and map radioactive contamination around Fukushima, as part of the efforts to restore normalcy following the nuclear accident. The Japan Atomic Energy Agency (JAEA) manages the Fukushima Environmental Safety Center, located approximately 20 km north of the Fukushima Daiichi nuclear power plant in Minamisōma City, Fukushima Prefecture. In collaboration with the JAEA, this study involved conducting comparison experiments and analyses with radiation detectors in high radiation environments, a challenging task in Korean environments. Environmental radiation surveys were conducted using three types of detectors: CZT, NaI(Tl), and LaBr₃(Ce), across two contaminated areas. Dose rate values were converted using dose rate conversion factors for each detector type, and dose rate maps were subsequently created and compared. The detectors yielded similar results, demonstrating their feasibility and reliability in high radiation environments. The findings of this study are expected to be a crucial reference for enhancing the verification and supplementation of procedures and methods in future radiation measurements and mobile surveys in high-radiation environments, using these three types of radiation instruments.

• Human Ecology Research
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• v.61 no.4
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• pp.599-613
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• 2023

This study investigated female consumers' attitudes toward the general and fashion-specific climate environments and analyzed the relations between the attitudes and the variables such as values, knowledge, and climate cognition. The data was collected from a sample of 450 women in their 20s, 30s, and 40s via quota sampling from a selfreported online survey in 2023. The measurement comprised the attitudes toward the general and fashion-specific climate environments, Rokeach's 18 terminal values, Holbrook's 8 consumer values regarding fashion products, climate environmental knowledge related to fashion, the cognition concerning the climate crisis, and several demographic variables. Descriptive statistics, factor analysis, reliability analysis, and correlations were applied to the data using SPSS. As a result, two factors were determined for the attitudes toward the general and fashion-specific climate environments, respectively: social and personal. Family security, happiness, and self-respect were identified as important terminal values. Quality, efficiency, aesthetics, and ethics were considered important when the current sample group purchased fashion products. The mean score of climate environmental knowledge related to fashion was lower than neutral; however the cognition of the climate crisis was considerably high. Attitudes toward the general and fashion-specific climate environments showed positive relations with values, knowledge, and climate cognition. The results were discussed to provide some insight and suggestions to carbon neutrality and the related studies.

• Journal of Korean Academy of Nursing
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• v.53 no.5
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• pp.525-537
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• 2023

Purpose: This study aimed to develop and test a reward scale for hospital nurses. Methods: The initial items were identified through a literature review and focus group interviews with ten hospital nurses. The content validity of the items was evaluated by ten experts. Fifty-one items were derived from the pilot survey. Four hundred eighty-eight nurses participated in the study: 248 for exploratory factor analysis (EFA) and 240 confirmatory factor analysis (CFA). Data were analyzed using item analysis, EFA, CFA, convergent validity, known-group validity, and internal consistency using IBM SPSS Statistics 29.0 and IBM SPSS AMOS 29.0. Results: The final scale consisted of 31 items and eight factors (decent wage, opportunity to grow and develop, support for special situations, various benefits, flexibility of work, job-related achievement, reflecting career and performance, and recognition), which explained 67.3% of the total variance. The eight-subscale model was validated by CFA. Convergent validity was evaluated by analyzing correlation with intention to leave (r = - .63, p < .001) and job satisfaction (r = .54, p < .001). The known-group validity was evaluated by comparing the reward scales according to age, clinical career, income level and hospital type. The scale was found to be reliable with a Cronbach's α of .89. Conclusion: Both the validity and reliability of the reward scale for hospital nurses are verified, which can enhance the understanding of the range of rewards and may assist nurse managers in establishing an effective reward system.

• Journal of Korean Society for Quality Management
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• v.51 no.3
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• pp.445-459
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• 2023

Purpose: The present study was designed to find out how the quality of the work environment felt by physical therapists and LMX affect the turnover intention. In addition, we tried to find the mediating effect of LMX in the causal relationship between work environment quality and turnover intention, and to find ways to effectively lower the turnover intention of physical therapists. Methods: Survey tool has obtained validity and reliability through literature survey, exploratory survey and pretest and sample 365 was selected. To treat a pretest and main analysis, SPSS23.0 and AMOS23.0 were employed and structural equation model was employed as an analysis method. Results: Among the work environments, the human environment, the physical environment, and the compensation system were found to have an effect on LMX. In addition, the physical environment and compensation system were found to have a significant effect on turnover intention. LMX was found to have an effect on turnover intention and play a mediating role. Conclusion: In order to lower the turnover intention of physical therapists, the level of LMX should be increased by strengthening the factors of the working environment. This study shows that the management of LMX along with the working environment is an important factor in lowering the turnover intention of physical therapists, and this study has several limitations.

• Korean Journal of Optics and Photonics
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• v.35 no.3
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• pp.95-106
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• 2024

In the 21st century, white light-emitting diodes (LEDs) are widely used as backlighting for liquid crystal displays and as a light source for general illumination. However, white LEDs used in lighting often use a single yellow phosphor on top of a blue LED chip, which lacks the ability to reproduce natural colors in objects under conventional illumination accurately. Recently, researchers have been actively working on realizing high color-rendering lighting by incorporating red quantum dots to improve the spectrum in the long-wavelength band, which is deficient in conventional white LEDs. In particular, how to develop and apply remote quantum dot components to ensure long-term reliability is currently under active research. This paper introduces recent research on remote quantum dot components and the current status of developing high color-rendering lightings with them. Especially, we focus on various factors that are important to consider in optimizing the optical structure of the quantum dot components and discuss the future directions and prospects of research for high color-rendering lighting technology.