• Journal of the East Asian Society of Dietary Life
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• v.25 no.2
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• pp.246-260
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• 2015

The purpose of this study was to evaluate the prevalence of obesity, dietary habits, and nutritional status by age among low-income women, using data from the fourth Korea National Health and Nutrition Examination Survey (2007~2009). Subjects were 8,356 women aged 20 and over. The subjects were classified into four groups by age. Dietary data from 24-hr recall methods were used to analyze nutritional status. The prevalence of obesity in the 50~64 years age group was significantly higher than those of the other age groups. Among age groups, malnutrition was the highest in the 65-and-over age group. It appears that women in the 20~29 and 65-and-over age groups were the highest nutritional risk. The percentage of carbohydrates in total energy intake was higher and the percentages of protein and fat were lower in the 65-and-over age group than other groups. Frequency of skipping breakfast was lower in women aged 65-and-over, and moderate physical activity significantly decreased with increasing age. Awareness of dietary guidelines was higher in women aged 30~49 years than other groups, whereas it was lower in those aged 65-and-over years. Adherence to dietary guidelines of 'eating a variety of foods from each food group' was significantly lower in women aged 65-and-over years than those of other groups. However adherence to dietary guidelines of 'eating breakfast everyday with a pleasant mind' was significantly lower in women aged 20~29 years than those of other groups. Therefore, this study shows that low income women have various nutritional problems by age group, and we should support a tailored approach to improve their nutritional status.

• Journal of the Korean Dietetic Association
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• v.26 no.2
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• pp.85-100
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• 2020

Eating alone has recently become a very common dietary pattern in modern society. This study investigated the relationship between the frequency of eating alone and health related issues including chronic diseases, depression, and the quality of life (QOL). The 2016 Korea National Health and Nutrition Examination Survey provided the basic data for this study. According to the general analysis of 4,910 adults aged over 19 years or older, the average age in the 'eating alone' group was significantly higher (P<0.001), and the ratio of single-person households was significantly higher as the number of times of eating alone increased (P<0.001). Analysis of the relationship between the risk factors of metabolic syndrome according to the number of times eating alone, using logistic regression analysis, showed that the odds ratio of metabolic syndrome in the 'two times eating alone a day' group was approximately 1.3 times higher (OR=1.275) after being corrected for gender, age and energy intake. For the 'three times eating alone a day' group, the metabolic syndrome odds ratio was higher in all models except for model 1 and 5 (P for trend<0.05). The prevalence of depression using patient health questionnaire-9 (PHQ-9) was higher as the number of eating alone increased, and the QOL was inversly related with the number of meals eating alone (P for trend<0.01). We hope the results of this study will raise awareness of the health of those people who eat alone and lay the groundwork for individuals who eat alone and gain social attention.

• Journal of Korean Elementary Science Education
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• v.39 no.1
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• pp.117-132
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• 2020

The purpose of this study is to investigate elementary school teachers' awareness of Artificial Intelligence (AI) and find out how to apply it in elementary science education. The survey was conducted online and involved 95 teachers working in the metropolitan area. The results of this study are as follows. First, teachers need to learn about the general characteristics of AI and how to apply it to education. Second, science classes had the highest preference for AI among elementary school subjects. Third, the preference for AI application by elementary science field was 68.4% for earth and space, 54.7% for exercise and energy, 32.6% for matter, 27.4% for life. Fourth, AI-based Science Education (AISE) teaching- learning strategies were developed based on AI characteristics and the changing perspective of elementary science education, AISE's teaching-learning strategies are five: 'automation', 'individualization', 'diversification', 'cooperation' and 'creativity' and teachers can use them in teaching design, class practice and evaluation stages. Finally, the creative problem-solving Doing Thinking Making Sharing (DTMS) model was devised to implement the creativity strategy in AISE. This model consists of four-steps teaching courses: Doing, Thinking, Making and Sharing based on the empirical learning theory. In the future, follow-up research is needed to verify the effectiveness of this model by applying it to elementary science education.

• Journal of Broadcast Engineering
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• v.26 no.5
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• pp.643-651
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• 2021

Most people acquire information visually. Screens of computers, smart phones, etc. constantly stimulate people's eyes, increasing fatigue. In this social phenomenon, the realistic and rich sound of the 21st century's state-of-art sound system can affect people's bodies and minds in various ways. Through sound, human beings are given space to calm and observe themselves. The purpose of this paper is to introduce immersive yoga training based on 3D sound conducted together by ALgruppe & Rory's PranaLab and to promote the understanding of immersive audio system. As a result, people, experienced immersive yoga, not only enjoy the effect of sound, but also receive a powerful energy that gives them a sense of inner self-awareness. This is a response to multidisciplinary exchange required by the knowledge of modern society, and at the same time, informs the possibility of new cultural contents.

• Journal of the Korea Convergence Society
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• v.9 no.12
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• pp.467-474
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• 2018

This is a qualitative research that was carried out to analyze the childhood cancer survivors' perceived difficulties using the result of focus group interviews. This study conducted interviews with 22 childhood cancer survivors under follow-up management after cancer treatment at general hospitals in Korea. 22 persons were divided into 3 groups, and interviews were carried out with each group for 80-100 minutes. As a result of the research, four topic collections consisting of 'Physical limitation', 'Influence of lasting childhood cancer', 'Difficulty in forming relationships' and 'Lack of reliable information' and seven subjects, which consist of 'Lack of energy', 'Potential late-effects', 'Fears about cancer recurrence', 'Negative social awareness', 'Difficulty in interacting with', 'Difficulty in interacting with peers', and 'Difficulty in interacting with families' were derived. Based on the findings of this research, it is hoped that provides a basis for developing appropriate and effective services and programs for childhood cancer survivors.

• Atmosphere
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• v.29 no.2
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• pp.213-218
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• 2019

A valuation of air pollution is critical for relevant policy-making for the public and research direction. This study conducted a willingness-to-pay (WTP) survey using contingent valuation method (CVM) in Seoul Korea. In detail, this study puts an emphasis on its temporal changes referred on two surveys conducted in 2014 and 2019. In reference to the previous studies in 2002, our survey indicated that the public awareness of air pollution and interests on its sources and solutions increased noticeably. Our survey showed that WTP increased significantly from 2588 to 4827 and 8240 Korean Won $month^{-1}$ in 2002, 2014, and 2019, respectively. Moreover, the percentage of respondents to pay the WTP also increased from 48% to 68% and 79% in 2002, 2014, and 2019, respectively. Our analysis based on the number of Google search on particulate matters (PMs) strongly suggests that such the noticeable increases of the public attention to air pollution is well accorded with the moment of the announcement of a standard for ultra-fine particles and the start of PM prediction in late 2013. But the Google search rate grew about 16.7 times in 2009 compared to 2014, which is much larger than the growth rate of interest and WTP between 2014 and 2019. Our results shed light on policy decision for the right person in the right place on the right time in the era of air pollution.

• Journal of Astronomy and Space Sciences
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• v.35 no.4
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• pp.253-261
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• 2018

Korea Astronomy and Space Science Institute (KASI) has been developing the space optical and laser tracking (SOLT) system for space geodesy, space situational awareness, and Korean space missions. The SOLT system comprises satellite laser ranging (SLR), adaptive optics (AO), and debris laser tracking (DLT) systems, which share numerous subsystems, such as an optical telescope and tracking mount. It is designed to be capable of laser ranging up to geosynchronous Earth orbit satellites with a laser retro-reflector array, space objects imaging brighter than magnitude 10, and laser tracking low Earth orbit space debris of uncooperative targets. For the realization of multiple functions in a novel configuration, the SOLT system employs a switching mirror that is installed inside the telescope pedestal and feeds the beam path to each system. The SLR and AO systems have already been established at the Geochang station, whereas the DLT system is currently under development and the AO system is being prepared for testing. In this study, the design and development of the SOLT system are addressed and the SLR data quality is evaluated compared to the International Laser Ranging Service (ILRS) tracking stations in terms of single-shot ranging precision. The analysis results indicate that the SLR system has a good ranging performance, to a few millimeters precision. Therefore, it is expected that the SLR system will not only play an important role as a member of the ILRS tracking network, but also contribute to future Korean space missions.

• Journal of the Korea Convergence Society
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• v.10 no.8
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• pp.105-113
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• 2019

Convergence education, which is operated by many engineering colleges, is mainly led by government-led projects. Convergence majors are established in consideration of the research field of the university professors rather than systematically analyzing the needs of the industry. The purpose of this study is to present the directions of convergence technology education related to new industry fields by analyzing industry needs. Participants were 299 industrial workers in various fields. Instrument consisted of three parts: necessity for convergence education, demand for convergence new technology education from industry perspective, and opinions about undergraduate convergence education. As a result, it was found that the level of awareness of industry needs for fusion technology education was high, and it was confirmed that there is a high demand for IoT convergence, bio-health, advanced new material, and renewable energy fields among convergence technology fields. In addition, the results of the industry demand for convergence new technology education were presented. The suggestions for expectations, problems, and improvements in undergraduate education were presented and implications for convergence technology education were discussed based on the results of the study.

• Resources Recycling
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• v.30 no.3
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• pp.55-62
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• 2021

In Korea, a good recycled product (GR) certification system was introduced in 1997 to improve resource and energy use efficiency. However, in industry and society, recycled products are not used well because of the lack of awareness of recycled materials. In this study, the status of domestic and international quality standards for nickel materials was investigated, and the purity and electrochemical properties of nickel sulfate prepared from ore and nickel sulfate recovered from waste lithium-ion batteries were evaluated during the electroplating process. As a result of the test, it was found that there is no quality difference between recycled nickel sulfate and high-purity nickel sulfate reagents when used in the electroplating industry.

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