• Electronics and Telecommunications Trends
• /
• v.36 no.1
• /
• pp.54-63
• /
• 2021

Since the recent COVID-19 pandemic, countries have been strengthening trade protection for their security, and the importance of securing strategic materials, such as food, is drawing attention. In addition to the cultural aspects, the global preference for food produced in Korea is increasing because of the Korean Wave. Thus, the Korean food industry can be developed into a high-value-added export food industry. Currently, Korea has a low self-sufficiency rate for foodstuffs apart from rice. Korea also suffers from problems arising from population decline, aging, rapid climate change, and various animal and plant diseases. It is necessary to develop technologies that can overcome the production structures highly dependent on the outside world of food and foster them into export-type system industries. The global agricultural industry-related technologies are actively being modified via data accumulation, e.g., environmental data, production information, and distribution and consumption information in climate and production facilities, and by actively expanding the introduction of the latest information and communication technologies such as big data and artificial intelligence. However, long-term research and investment should precede the field of living organisms. Compared to other industries, it is necessary to overcome poor production and labor environment investment efficiency in the food industry with respect to the production cost, equipment postmanagement, development tailored to the eye level of field workers, and service models suitable for production facilities of various sizes. This paper discusses the flow of domestic and international technologies that form the core issues of the site centered on the 4th Industrial Revolution in the field of agriculture, livestock, and fisheries. It also explains the environmental awareness production technologies centered on sustainable intelligence platforms that link climate change responses, optimization of energy costs, and mass production for unmanned production, distribution, and consumption using the unstructured data obtained based on detection and growth measurement data.

• Women's Health Nursing
• /
• v.26 no.1
• /
• pp.72-83
• /
• 2020

Purpose: The purpose of this study was to investigate the effects of uncertainty and spousal support on infertility-related quality of life (QoL) in women undergoing assisted reproductive technologies. Methods: In this correlational survey study, 172 infertile women undergoing assisted reproductive technologies for infertility treatment at M hospital in Seoul participated. Data collection took place at the outpatient department of M hospital using a self-report questionnaire from July to August 2019. Data were analyzed using SPSS for Windows version 28.0. Results: The mean scores for uncertainty, spousal support, and infertility-related QoL were 28.35 (out of 50), 86.67 (out of 115), and 57.98 (out of 100), respectively. Infertility-related QoL was positively correlated with spousal support and negatively correlated with uncertainty. According to the regression analysis, infertility-related QoL was significantly affected by uncertainty, total number of assisted reproductive technology treatments, marriage duration, subjective health status, the financial burden of infertility testing, and the presence of a burdensome person. These variables had an explanatory power of 35.0% for infertility-related QoL. Conclusion: Uncertainty was an important factor influencing infertility-related QoL among women undergoing assisted reproductive technologies. It is necessary to develop and implement a nursing intervention program focused on reducing various forms of uncertainty during assisted reproductive procedures and to consider other factors affecting infertility-related QoL in the clinical setting.

• International Journal of Computer Science & Network Security
• /
• v.24 no.1
• /
• pp.1-8
• /
• 2024

In contemporary education, the rapid advancement of digital technologies elevates demands for integrating the latest tools into the learning process. Mathematical analysis, as a discipline, benefits from computer mathematics in distance education, enhancing practical aspects and enabling individualized learning. This article addresses the integration of the Maple computer mathematics system into higher education, specifically in teaching "Mathematical Analysis." Emphasizing its role in distance learning, computer mathematics optimizes the educational environment, reducing the time required for knowledge acquisition. The article showcases the application of Maple in finding extremum points and introduces an educational software simulator, enabling students to practice the method. The simulator, developed within Maple, facilitates self-checking and enhances the study of functions. Conclusions drawn from the study highlight the positive impact of these tools on distance education, affirming Maple's role in enhancing professional training and information culture among higher education students.

• The Research Journal of the Costume Culture
• /
• v.30 no.5
• /
• pp.766-778
• /
• 2022

Image-oriented information is becoming increasingly important on social networking services (SNS); the background of this trend is the popularity of selfies. Currently, camera applications using augmented reality (AR) and artificial intelligence (AI) technologies are gaining traction. An AR camera app is a smartphone application that converts selfies into various interesting forms using filters. In this study, we investigated the change of keywords according to the time flow of selfies in Goolgle News articles through semantic network analysis. Additionally, we examined the effects of using an AR camera app on appearance satisfaction and self-esteem when taking a selfie. Semantic network analysis revealed that in 2013, postings of specific people were the most prominent selfie-related keywords. In 2019, keywords appeared regarding the launch of a new smartphone with a rear-facing camera for selfies; in 2020, keywords related to communication through selfies appeared. As a result of examining the effect of the degree of use of the AR camera app on appearance satisfaction, it was found that the higher the degree of use, the higher the user's interest in appearance. As a result of examining the effect of the degree of use of the AR camera app on self-esteem, it was found that the higher the degree of use, the higher the user's negative self-esteem.

• The Journal of Information Systems
• /
• v.33 no.2
• /
• pp.191-218
• /
• 2024

Purpose This study aims to investigate the relationship between digital literacy and the acceptance of care robots, as well as the mediating role of technology self-efficacy in this relationship. The findings of this research aim to provide foundational data for enhancing older adults' acceptance of new technologies, underscore the significance of bolstering older adults' digital literacy in relation to the adoption of care robot technology, and offer evidence to support interventions aimed at improving technology self-efficacy. Design/methodology/approach This study seeks to investigate the mediating effect of technology self-efficacy on the relationship between digital literacy and acceptance of care robot technology among older adults. Kyunghee University's '2022 Korean Senior Technology Acceptance Panel Survey' was used, targeting 509 people aged 60 or older. Data analysis was performed using SPSS 20.0 software. Independent samples t-tests were used to characterize key variables of interest and correlation analysis was used to evaluate their relationships. To verify the mediation effect, mediation regression analysis along with the Sobel test was used. Findings The study found that improving older adults' digital literacy positively impacts their acceptance of care robot technology through enhanced technology self-efficacy. Active education and experience with digital devices are highlighted as crucial for enhancing older adults' sense of accomplishment and, consequently, their technology self-efficacy. The findings underscore the importance of programs and educational initiatives focused on enhancing digital literacy among older adults to boost technology self-efficacy and increase acceptance of care robot technology within this population.

• Journal of the Korea Safety Management & Science
• /
• v.17 no.3
• /
• pp.53-63
• /
• 2015

This study highlights empirically the relationship among major constructs such as accident, fear and anxiety emotion, self-efficacy, and negative spillover of work, focused on the railway drivers. The differentiated factor of this study is in that the experience of accident was posed as exogenous variable. The main statistical tool was Regression. Hypothesis tests based on 201 samples verified that the experience of accidents showed a significant effect on negative spillover of work mediated by fear and anxiety, with moderating effect of self-efficacy between fear and anxiety and negative spillover of work. However, the moderating effect was shown as increasing the degree of negative spillover of work, since the drivers recognized their fear and anxiety accrued by accident experience as uncontrollable. This findings suggest the need for mitigating driver's negative emotion - fear and anxiety - through an introduction of practice such as exemption of settlement obligation in accident site and lowering of the penalty for accident responsibility.

• Journal of Korean Society for Quality Management
• /
• v.47 no.4
• /
• pp.795-806
• /
• 2019

Purpose: The purpose of this study was to propose useful suggestions by analyzing the causal relationship between technology-based self-service for smart airport and intention to use. Methods: The data was collected by using the structured questionnaires. The proposed research model is tested using 231 valid questionnaires by R.3.2.1 plspm package. Results: The results of this study are as follows; the effecting factors of technology based self service for introducing smart airport, it was found that the effects of personal innovativeness and enjoyment and responsiveness, social impact were significant for acceptance and personal innovativeness was not significant on perceived usefulness. This study suggests significant factors on the implementation of smart airports and technology-based self-service. It also introduced new technologies in the future by looking at various characteristic factors that affect the intention of using technology-based self-service to promote smart airports. Conclusion: Airports and aviation industries need to have easy access to the airport's technology-based self-services to build a successful smart airport and create an environment that can be used appropriately at the time the customer wants. Also when customers use technology-based self-service devices, they should consider to maximize the positive emotions (emotional values such as pleasure or fun) that customers feel.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.18 no.6
• /
• pp.1675-1691
• /
• 2024

The metaverse is an emerging interactive domain that enables people to participate in an array of activities utilizing cutting-edge technologies. Generation Z perceives no substantial distinction between their virtual and actual identities, regarding the virtual world as an extension of reality. As an attempt to apply Bourdieu's theory of cultural taste and cultural capital to the area of the metaverse avatar, investigates the impact of users' cultural tastes on the avatars they create and experience in the metaverse. The research employed both focus group interviews and individual in-depth interviews with users of Generation Z. The study demonstrated that Generation Z users exhibit unrestricted engagement in the metaverse, although their behavior is significantly affected by their economic situation. One's cultural tastes, influenced by diverse interactions with their parents, greatly impact how they engage in cultural activities in the metaverse. Three categories were identified from the perception of avatars: Idealized Self-Representation Avatars, Atypical Self-Representation Avatars, and Integrated Self-Representation Avatars. Perceiving avatars as an extension of the self was associated with higher cultural capital. Participants held divergent perspectives on the metaverse, with certain individuals regarding it as a realm of imagination or a limitless arena for activities.

• The Journal of Information Systems
• /
• v.31 no.3
• /
• pp.47-65
• /
• 2022

Purpose With the recent development of Big Data and Artificial Intelligence technology, self-driving technology has developed into three stages (partial self-driving) or four stages (conditional self-driving), it is expected to bring a new paradigm to transportation in the city. Although many researchers are researching related technologies, there is no research on self-driving for disabled persons. In this study, the basic research was conducted based on the assumption that the shared self-driving car used by the disabled person is similar to the special transportation currently driving. Design In this study, data analysis and machine learning techniques were utilized to analyze the mobility patterns of disabled persons by type and to search for leading factors affecting the traffic volume of special transportation. Findings The study found that external physical disorders and developmental disorders often visit general welfare centers, internal organ disorders often visit general hospitals, and the elderly and mental disorders have various destinations. In addition, machine learning analysis showed that the main transportation routes for the disabled person use arterial roads and auxiliary arterial roads and that the ratio of building usage-related variables affecting the use of special transportation for a disabled person is high. In addition, the distance to the subway and bus stops was also mentioned as a meaningful variable. Based on these analysis results, it is expected that the necessary infrastructure for shared self-driving cars for disability person traffic will be used as meaningful research data in the future.

• 한국신재생에너지학회:학술대회논문집
• /
• 2010.11a
• /
• pp.64.1-64.1
• /
• 2010

In this study, the energy and economic analysis of KIER Zero Energy Solar House (KIER ZeSH) was carried out. KIER ZeSH was designed and constructed in the end of 2009 for the purpose of more than 70% energy self-sufficiency in total load as well as less than 20% of additional construction cost. The several building energy conservation technologies like as super insulation, high performance window, wast heat recovery system, etc and renewable energy system. The renewable heating and cooling system is a kind of solar thermal system combined with geo-source heat pump as a back-up device. The capacity of 3.15kW solar BIPV system was also installed on the roof. The measurement by monitering system of ZeSH was conducted for one year from November 2009 to October 2010. The energy self-sufficiency and economic analysis were conducted based on the this monitering result. As a result, the energy self sufficiency is about 83% which is higher than that of the target and the payback period is 11 years.