• Proceedings of the KIEE Conference
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• 2006.07e
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• pp.19-22
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• 2006

The CMD(Condition Monitoring & Diagnosis) System is used to monitor and analyze the PD(Partial Discharge), Arc, Temperature, Pressure, Gas in Oil and so on for reliability and availability of the substation. Although this system comes into the spotlight as the forecast and management of the failure and fault, there are some problems. For example, the unified standard was not defined, and the effective management of the layed communication network does not performed, limitation of physical space, etc. To resolve above problems, this paper suggests the IEC61850 compatible eCMD system architecture for monitoring and analyzing the CMD factor in substations. The suggested eCMD system consists of CMD-LU(Condition Monitoring & Diagnosis-Local Unit), IED(Intelligent Electronic Device), and engineering centers. The IEC61850 is the international standard that defines communication networks and system in substation.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.33 no.3
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• pp.163-172
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• 2015

This study examined the potential effects of urban growth on streamflow in the Gyungan River watershed, Korea, using urban containment scenarios. First, two scenarios (conservation and development) were established, and SLEUTH model was adapted to predict urban growth into the year 2060 with 20 years interval under two scenarios in the study area. Urban growth was larger under scenario 2, focusing on development, than under scenario 1, focusing on conservation. Most urban growth was predicted to involve the conversion of farmland, forest, and grasslands to urban areas. Streamflow in future periods under these scenarios was simulated by the Soil and Water Assessment Tool (SWAT) model. Each scenario showed distinct seasonal variations in streamflow. Although urban growth had a small effect on streamflow, urban growth may heighten the problems of increased seasonal variability in streamflow caused by other factor, such as climate change. This results obtained in this study provide further insight into the availability of future water resource and can aid in urban containment planning to mitigate the negative effects of urban growth in the study area.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.3
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• pp.41-48
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• 2019

The purpose of this study is to investigate the environmental factors relating to children's outdoor play and to assess how the residential neighborhood is suitable for play in the perception of parents. Based on a citywide survey of 500 parents of elementary school students in grades 1-4 in Seoul, this empirical study shows that children's outdoor play environments in residential neighborhoods of Seoul have been observed to be overall unsuitable for play activity. Three physical environmental factors (spatial availability, neighborhood attractiveness, and street difficulties) and three social environmental factors (fear of crime, social interactions, and psychological comfort) are related to children's play activity. Five factors, with the exception of the psychological comfort factor, impact the suitability of children's outdoor play environment. Specifically, it is the physical environment, rather than the social environment, that was deemed unsuitable in spite of its impacts. These findings help us understand the current conditions of neighborhood play environments associated with children's play activity. It is necessary to improve parents' perceptions of the play environment and children's play activities by improving the physical environment.

• Journal of Environmental Science International
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• v.30 no.6
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• pp.441-454
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• 2021

This study intended to propose an improvement plan to improve user satisfaction by establishing a park and green space masterplan by comparing its current status and surveying the residents' perception of green park services in two regions. The study results showed that the residents are aware of the physical and qualitative aspects of the green park environment. In addition, the quality level of the green park that people may actually use in everyday life was considered a factor for evaluation of satisfaction. In addition, it was found that the residents, who are actual users of the green park services, evaluated the satisfaction of use considering the qualitative characteristics of the green park, such as 'quality of green park' and 'availability of green park.' As a result, efforts are required to create and improve the quality of green parks efficiently based on establishing qualitative indicators, a survey of residents' perception, and quantitative analysis to develop policy directions and guidelines of the park and green space masterplan.

• The Korean Journal of Food & Health Convergence
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• v.8 no.4
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• pp.1-10
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• 2022

The term "Organic Food" is no longer strange to consumers around the world. Many people are concerned about their safety and health, so they have chosen this safe food. However, the decision to buy this product still faces some difficulties and challenges, such as the high price of organic products, short-time use, supply of products and so on. This study conducted an analysis to investigate the determinants of Danang City consumers' intention to purchase organic foods in Vietnam. The results show that, there are 6 influencing factors, including: subjective norm, food safety & health consciousness, consumer knowledge & environment consciousness, price of the product, availability product and trust in brands and certifications. The study uses a combination of 2 qualitative and quantitative methods. Qualitative methods are used through analysis, evaluation and synthesis of previous studies to build research models and scales for variables. Quantitative method with 250 samples applied SPSS 25.0 to test the scale by Cronbach's Alpha coefficients, to analyze the discovery factor EFA and regression analysis. The findings of the study provide useful information for consumers to buy organic foods and for marketers to increase sale of organic foods in Vietnam in general and Danang city in particular.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.4
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• pp.189-197
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• 2022

Today, we are exposed to various text-based media such as newspapers, Internet articles, and SNS, and the amount of text data we encounter has increased exponentially due to the recent availability of Internet access using mobile devices such as smartphones. Collecting useful information from a lot of text information is called text analysis, and in order to extract information, it is performed using technologies such as Natural Language Processing (NLP) for processing natural language with the recent development of artificial intelligence. For this purpose, a morpheme analyzer based on everyday language has been disclosed and is being used. Pre-learning language models, which can acquire natural language knowledge through unsupervised learning based on large numbers of corpus, are a very common factor in natural language processing recently, but conventional morpheme analysts are limited in their use in specialized fields. In this paper, as a preliminary work to develop a natural language analysis language model specialized in the railway field, the procedure for construction a corpus specialized in the railway field is presented.

• The Journal of Economics, Marketing and Management
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• v.11 no.2
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• pp.1-11
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• 2023

Purpose: With the rapid development of e-commerce, logistics services, as an important part of e-commerce shopping, have gradually attracted people's attention. Customer engagement behavior is a new topic in marketing, and its connotation is still being explored. The purpose of this paper is to study the relationship between logistics service quality and customer engagement behavior. Research design, data and methodology: This study employed the method of online questionnaire survey, with Chinese e-commerce platform users as the survey objects, 248 valid survey sample data were collected, and the method of factor analysis and structural equation model analysis was used to verify the research hypothesis model constructed in this paper. Results: The four dimensions of e-commerce logistics service quality have different influences on customer satisfaction, and the influence of availability on customer satisfaction is not significant. Convenience, assurance, and security have a significant positive impact on customer satisfaction; Customer satisfaction has a significant positive impact on the three dimensions of customer engagement behavior: customer repeat purchase behavior, online word-of-mouth, and customer referrals. Conclusion: The results of this study will provide useful reference for the managers of e-commerce companies to improve customer engagement behavior by improving the logistics service quality.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.1
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• pp.57-76
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• 2023

This study analyzes the factors and effects on the users' intention to switch from contact center-oriented to AI chatbot-oriented customer services by combining Push-Pull-Mooring Model and provides insights for companies considering the adoption of AI chatbots. To test the model, we surveyed users with experience using chatbots at least once across different age groups. Finally, we analyzed 176 cases for the analysis using IBM SPSS Statistics and SmartPLS 4.0. The results of hypotheses testing rejected the hypotheses for variables of inconsistent quality and low availability of push factors and low switching cost of mooring factor while accepting the hypotheses for the tardy response of push factors and all pull factors. Therefore, these findings provide important implications for researchers and practitioners who wish to conduct research or adopt AI chatbots. In conclusion, users do not feel inconvenienced by the contact center-oriented service but also perceive high trust and convenience with AI chatbot-oriented service. However, despite low switching costs, users consider chatbots a complementary tool rather than an alternative. So, companies adopting AI chatbots should consider what features the users expect from AI chatbots and facilitate these features when implementing AI chatbots.

• Journal of Distribution Science
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• v.21 no.11
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• pp.103-111
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• 2023

Purpose: This research aims to study the selection attributes influencing the purchasing decisions of the MZ generation in online luxury stores and explores the moderating effects of consumer value. The research aims to validate the impact of reasonable pricing, brand reliability, product variety, comprehensive product information, and user-friendly interfaces on customers' decision to purchase products from online luxury stores. Research design, data and methodology: A survey was conducted with 101 participants, and data analysis included exploratory and confirmatory factor analysis, as well as covariance structure model analysis. Results: The findings reveal that brand trust, product variety, and information sufficiency significantly influence brand affect, which in turn influences purchase intention. Additionally, the study identifies that consumers prioritizing hedonic value are more influenced by brand trust and information, while those prioritizing utilitarian value are more responsive to factors like reasonable price, product variety, and ease of use. Conclusions: The study provides insights into the preferences and behaviors of the MZ generation, highlighting their digital proficiency, mobile-centric lifestyle, desire for product variety, price-consciousness, social media influence, and the availability of personalized shopping experiences as factors contributing to their preference for online luxury stores. These findings contribute to understanding consumer behavior and decision-making processes in the context of online luxury shopping.

• East Asian Economic Review
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• v.27 no.3
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• pp.179-211
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• 2023

This paper investigates the relationship between the spread of COVID-19 and time preference. In contrast to previous studies that compared time preferences before and during the pandemic, this study estimates time preferences during the COVID-19 period using eight surveys conducted over two years. Additionally, a regression analysis was conducted on the number of new COVID-19 cases and the time elapsed since the outbreak, with estimated time preference as the dependent variable. Despite a small sample size, statistically significant results were obtained, showing that as the number of new cases increased, time preference also increased. However, this effect diminished over time and disappeared by the end of 2021 in Japan. This may be due to the public's growing familiarity with the risks of COVID-19 and the availability of vaccines and treatments. Despite a significant increase in new cases in 2022, time preference was lower than immediately after the outbreak, and this was reflected in private investments. Immediately after the outbreak of COVID-19, private investments decreased by 12% compared to the previous year, but the investments are returning in 2022 despite the surge in the number of cases. The trend of time preference explains the trend of Japanese private investments very well.