• Korean Journal of Food Science and Technology
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• v.51 no.3
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• pp.243-247
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• 2019

Calendula (Calendula officinalis L.) petals are edible flowers which have been used as a decorative ingredient in dishes or as a medicinal food. In this study, the anti-skin aging potential of calendula petals was investigated. Additionally, the texture was softened by non-enzymatic methods to broaden their application as a food or cosmetic agent. Treatment of calendula prevented ultraviolet-induced matrix metalloproteinase-1 expression in skin cells. We investigated whether heating-based processing could soften calendula petals. The results from the punctual test demonstrated significant changes in the hardness of calendula petals depending on the pH, heating temperature, and time. Although there were minor differences among various processing conditions, the largest alteration in hardness was observed when the petals were softened by incubation at $80^{\circ}C$ and pH 2.3 for 120 min. Collectively, these results show that the application of proper processing conditions can soften calendula petals without using enzymes.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.57-71
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• 2021

As the global economy becomes globalized, there is a growing demand for nurturing talent to enhance the competitiveness of individuals and countries. Studying abroad is one of the ways of education to gain high qulaity education and skills, and get closer to the local market, the international market. This study sought to define the factors of global competence and artistic competence for foreign students in Korea, and to clarify the impact of global competence and artistic capacity on the intention of start-up, networking behavior, mediating and regulating effects of social support. The results of the empirical analysis of Chinese students studying in Korea in this study are as follows. First, three sub-factors (knowledge, skill, attitude) of global competency have been shown to have a positive influence on networking behavior. Second, three sub-factors (expression, creativity, media) of artistic competence were having a positive impact on networking behavior. Third, networking behavior has been confirmed to have a positive effect on the intention of start-up. Fourth, the results showed that social support regulates the relationship between networking behavior and start-up intent. Fifth, it was confirmed that networking behavior has the effect of mediating global capabilities and intention to start a business. This study is meaningful in verifying that the networking behavior of students studying abroad plays a positive role in the intention of starting a business by studying the intention of students to adapt to the new social culture, educational environment in foreign countries.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.667-677
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• 2022

This research is a descriptive study that aimed to identify the knowledge and attitude of dementia, empathy, and social distance from elderly with dementia of social welfare students and the effect these had on their social distance from elderly with dementia. This study was conducted by collecting 191 social welfare students in three universities in C and D cities. Data were analyzed using descriptive analysis, ANOVA, t-test, Pearson's correlation coefficients and multiple regression with the SPSS 23.0 program. The average social distance from elderly with dementia was 3.40 points. The social distance from elderly with dementia of the study participants showed a positive correlation between the attitude of dementia(r=.47, p=.001) and empathy(r= .27, p<.001). According to the results of multiple regression analysis, attitude of dementia(β=.21, p=.001), and empathy(β=.37, p<.001) were shown to be significant factors that affected the social distance from elderly with dementia. These variables explained 36.5%. Therefore, an education program to improve the ocial distance from elderly with dementia of social welfare students should be considered as a way to enhance positive attitude of dementia and empathy.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.469-482
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• 2022

The purpose of this study is to analyze regional variation factors of hypertension treatment rate in COVID-19 based on the analysis results based on ecological methodology. To this end, data suitable for ecological analysis were collected from the Korea Centers for Disease Control and Prevention's regional health statistics, local government COVID-19 confirmed cases, National Health Insurance Corporation, Health Insurance Review and Assessment Service's welfare statistics, and Korea Transport Institute's traffic access index. Descriptive statistics and correlation analysis were conducted using SPSS Statistics 23 for regional variation and related factors in hypertension treatment rate, and geographical weighted regression analysis was conducted using Arc GIS for regional variation factors. As a result of the study, the overall explanatory power of the calculated geo-weighted regression model was 27.6%, distributed from 23.1% to 33.4% by region. As factors affecting the treatment rate of hypertension, the higher the rate of basic living security medical benefits, diabetes treatment rate, and health institutions per 100,000 population, the higher the rate of hypertension treatment, the lower the number of COVID-19 confirmed patients, the lower the rate of physical activity, and the alcohol consumption. Percentage of alcohol consumption decreased due to COVID-19 pandemic. It was analyzed that the lower the ratio, the higher the treatment rate for hypertension. Based on these results, the analysis of regional variables in the treatment rate of hypertension in COVID-19 can be expected to be effective in managing the treatment rate of hypertension, and furthermore, it is expected to be used to establish community-centered health promotion policies.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.367-376
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• 2022

In traditional criminal cases, there is a limit to information collection because information on the subject of investigation is provided only with personal information held by the national organization of legal. Surface web-based OSINT(Open Source Intelligence), including SNS and portal sites that can be searched by general search engines, can be used for meaningful profiling for criminal investigations. The Korean-style OSINT workflow can effectively profile based on OSINT, but in the case of individuals, OSINT that can be collected is limited because it begins with "name", and the reliability is limited, such as collecting information of the persons with the same name. In order to overcome these limitations, this paper defines information related to individuals, i.e., equivalent information, and enables efficient and accurate information collection based on this. Therefore, we present an improved workflow that can extract information related to a specific person, ie., equivalent information, from OSINT. For this purpose, different workflows are presented according to the person's profile. Through this, effective profiling of a person (individuals) is possible, thereby increasing reliability in collecting investigation information. According to this study, in the future, by developing a system that can automate the analysis process of information collected using artificial intelligence technology, it can lay the foundation for the use of OSINT in criminal investigations and contribute to diversification of investigation methods.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.50 no.7
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• pp.471-478
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• 2022

This paper is about research and development of Korea Aerospace University's Solar-Powered UAV System that named of KAU-SPUAV, and describes the design process of the 4.2 m solar UAV that succeeded in a long flight of 32 hours and 19 minutes at June 2020. In order to improve the long-term flight performance of the KAU-SPUAV, For reduce drag, a circular cross-section of the fuselage was designed, and manufactured light and sturdy fuselage by applying a monocoque structure using a glass fiber composite material. In addition, a solar module optimized for the wing shape of a 4.2 m solar drone was constructed and arranged, and a propulsion system applied with the 23[in] × 23[in] propeller was constructed to improve charging and flight efficiency. The developed KAU-SPUAV consumes an average of 55W when cruising and can receive up to 165W of energy during the day, and its Long-term Endurance was verified through flight tests.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.193-202
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• 2022

The purpose of this study is to propose an effective informatization policy by categorizing consumer groups according to the level of digital divide and identifying the characteristics of each type. For this end, a total of 402 data were collected through an online and on-site surveys targeting consumers with internet experience, and the data were analyzed using the SPSS 26.0 program. As a result of conducting a K-means cluster analysis based on access to, capability, and utilization of digital devices, four consumer groups were categorized: 'device lover', 'proficient user', 'general user', and 'digital alienated'. By consumer type, significant differences were found in demographic characteristics, social capital, perception of the future information society, attitude toward technology as innovativeness, discomfort and familiarity, which are the antecedent variables of the digital divide. Significant differences in digital device satisfaction and intention to use, which are outcome variables of the digital divide, were also confirmed by consumer type. This study is academically and practically valuable in that it proposes customized informatization policies for each consumer group according to the level of digitization.

• The Korean Journal of Archival Studies
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• no.73
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• pp.47-79
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• 2022

NFT is literally a 'non-fungible token', a digital file that records specific virtual assets on a blockchain. Events such as ownership of the asset and transaction history are recorded on the blockchain through the token transaction, so counterfeiting and falsification are impossible. Therefore, NFT is used as a tool that can uniquely represent a specific virtual asset. The main purpose of this paper is to examine the characteristics of NFT from a records management point of view and to find ways to use them, and focuses on digital records that have the characteristics of assets as digital works. For this purpose, we first examine the basic concept of NFT and the principle of ownership and proof of value as an asset for digital works. In addition, it was confirmed how the advantages of NFT were applied through NFT use cases in various fields, and in particular, areas related to audio-visual records such as art, music, sports, and fashion were focused on. Furthermore, by comparing the characteristics of digital records with those of NFT, factors applicable to electronic records were identified. Finally, the types of digital records that are expected to be effective in the application of NFT were identified, and the possibility of their use and discussion points for introduction in records management are presented.

• Journal of Internet of Things and Convergence
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• v.8 no.5
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• pp.11-16
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• 2022

As an interest in the development of artificial intelligence(AI) technology in the water supply sector increases, we have developed an AI algorithm that can predict improvement decision-making ratings through repetitive learning using the data of pipe condition evaluation results, and present the most reliable prediction model through a verification process. We have developed the algorithm that can predict pipe ratings by pre-processing 12 indirect evaluation items based on the 2020 Han River Basin's basic plan and applying the AI algorithm to update weighting factors through backpropagation. This method ensured that the concordance rate between the direct evaluation result value and the calculated result value through repetitive learning and verification was more than 90%. As a result of the algorithm accuracy verification process, it was confirmed that all water pipe type data were evenly distributed, and the more learning data, the higher prediction accuracy. If data from all across the country is collected, the reliability of the prediction technique for pipe ratings using AI algorithm will be improved, and therefore, it is expected that the AI algorithm will play a role in supporting decision-making in the objective evaluation of the condition of aging pipes.

• 한국노년학
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• v.41 no.1
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• pp.25-48
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• 2021

This study intended to examine the willingness to use as well as necessary functions for ICT-based care assistance devices in older adults living alone. A total of 241 older adults living alone from a city participated in the study. Study results show that many older adults living alone are willing to use ICT-based care assistance devices at their home and the functions of care assistance devices that they perceived as necessary were diverse. In addition, there were differences in perception of functional necessity by socio-demographics and medical and functional characteristics of older adults living alone. In particular, there were significant differences in the functions perceived as necessary according to the presence of osteoporosis, depression, insomnia, and limitations in daily activities. Our study findings suggest that the functions of ICT-based care devices should be developed in various ways in order to help healthy aging in place. Findings also imply that it is necessary to provide individualized services and customized care assistance devices according to individual's medical and functional characteristics and needs.