This study examines the mediating effect of self-directed learning between the self-leadership and academic self-efficacy of beauty major Chinese(CN) students and examines the variables affecting the academic-self-efficacy of CN students. The study aims to obtain basic data to help improve college life in foreign countries. A survey was conducted upon 440 beauty major CN students in universities across Seoul. The results of the study showed differences in self-directed learning according to the number of semesters they have been in Korea and in academic self-efficacy according to their TOPIK levels. Self-directed learning was found to have a partial mediating effect between self-leadership and academic self-efficacy of CN students. These results showed that self-leadership and self-directed learning are major predictors of the academic self-efficacy, which is further reinforced when self-leadership and self-directed learning are promoted together. These results imply that there should be preceding efforts to promote both self-leadership and self-directed learning to increase the self-efficacy of CN students majoring in beauty.
Among the elderly and patients with mild brain diseases (such as dementia and stroke), when there is a certain degree of self-acting ability and cognitive ability, exercise and cognitive rehabilitation are often required. However, since most of the existing rehabilitation systems are separated or specialized in exercise or cognitive rehabilitation, there is a need for a form linking both. In this paper, we propose a game-type rehabilitation system that enables both exercise and cognitive rehabilitation using CAN communication protocol, one of ICT technologies. This system uses the CAN BUS structure to separate and combine each individual module constituting the rehabilitation system in various forms. A prototype of the proposed system was actually produced to show that various types of rehabilitation environments can be implemented according to the degree of cognitive ability and motor ability of the patient (or the elderly). In addition, through several experiments using this system, it is possible to implement exercise/cognitive parallel rehabilitation applicable to various environments.
The aim of the study was to evaluate the physiological activity of Lycium ruthenicum to investigate their potential as a raw material that can be used in the cosmetic industry. L. ruthenicum fruit extracts were obtained using 70% methanol(LRM) and hot-water(LRW). The DPPH and ABTS radical scavenging abilities were higher in the LRM extract than in the LRW extract. The FRAP value of LRM was about 1.3-fold greater than that of LRW. The polyphenol contents of LRM and LRW were 31.883±1.395 mg/g and 27.748±2.741 mg/g respectively. LRM inhibited the generation of NO in LPS-stimulated RAW264.7 cells. LRM also attenuated the expression of COX-2, PGE2, IL-6, and TNF-α induced by LPS. These results suggests that L. ruthenicum fruits could be use as a source of natural antioxidants and anti-inflammatory agent in cosmetic products.
The purpose of this study was to investigate the effect of reducing noise and streaking artefacts by applying the Boost3D algorithm in the case of noise and streaking artifacts generated during computed tomography of the shoulder joint. A phantom study using a thoracic phantom including shoulder joint and clinical evaluation were conducted through shoulder joint images of 35 patients who underwent computed tomography of the shoulder joint from September 2020 to October 2020. The evaluation was divided into groups before and after the application of the Boost3D algorithm, and the noise values, signal to noise ratio, and mean to standard deviation ratio values were analyzed. Both noise values and mean to standard deviation ratio values analyzed in phantom image evaluation and clinical image evaluation were statistically significantly lower in the group after Boost3D was applied (p<0.05). Through this study, it was found that noise and streak artifacts were reduced through the application of Boost3D, and the mean to standard deviation ratio was high, which can be judged as an excellent image. If the Boost3D algorithm is used for computed tomography of the shoulder joint, it is thought that excellent images can be obtained with reduced noise and streaking artifacts that may occur in the shoulder joint area.
For strengthening the national defense, the function of tactical network is essential. tactics and strategies in wartime situations are based on numerous information. Therefore, various reconnaissance devices and resources are used to collect a huge amount of information, and they transmit the information through tactical networks. In tactical networks that which use contention based channel access scheme, high-speed nodes such as recon aircraft may have performance degradation problems due to unnecessary channel occupation. In this paper, we propose a learning-backoff method, which empirically learns the size of the contention window to determine channel access time. The proposed method shows that the network throughput can be increased up to 25% as the number of high-speed mobility nodes are increases.
This study utilizes PhotoVoice, a qualitative research method, to explore the life experiences of retirees by age in depth and derive the social welfare implications required for successful aging of retirees. Two participants in the study were selected in their 70s, 60s, and 50s, and 24 photos, explanations, 44 stories, and 92 data collected through group activities and personal interviews were analyzed. With the perception of successful aging, those in their 70s were "Preparing for a High Level of Social Responsibility and Dignity," those in their 60s were "Life of Social Responsibility and Service with Embarrassment and Boeun," and those in their 50s were "Life of Self-reliance with Economic Stability and Consideration." In order to prevent social problems for retirees with longer old age, research and social welfare policy support for their social jobs and volunteer positions are urgently needed, and the sooner the preparatory education is implemented so that they can prepare enough. This study is significant in that it played an important role in presenting basic data for the preparation of social welfare alternatives for retirees.
Social TV users and content are increasing day by day. The main purpose was to study the motivation for social television users, but I felt the need to analyze the potential psychological impact of users in various content. This study analyzed the impact on psychological well-being due to the interaction and viewing satisfaction by the object relations theory factors of social TV user in Korea. A survey was conducted on students of N university, ordinary university, and ordinary people who have experience using social TV to prove the observations or experiments of empirical facts in this study. Research result, First, Nonalienation have been have a positive effect on interaction and viewing satisfaction. Second, stable attachment have been have a positive effect on interaction. Third, social competence have been have a positive effect on interaction. Fourth, interaction have been have a positive effect on viewing satisfaction and psychological well-being. Fifth viewing satisfaction have been have a positive effect on Psychological well-being. Through this, This will contribute to the development of subdivided content and user-customized services for social television, and it is necessary to reconfigure and study various events that may occur between users in the future.
This study a secondary data analysis study attempted to identify the factors influencing the successful aging of the elderly in Korea. Using the data of the 7th Aging Research Panel in 2018, 4,106 people over 65 years of age who had at least one non-living child and no missing values in the study variables were enrolled. Data were analyzed by frequency analysis, crossover analysis, independent sample t-test, and binary logistic regression analysis. The results of this study revealed that the factors affecting successful aging among elderly included age, the presence or absence of a spouse, education level, housing type, subjective health, exercise, alcohol drinking, and non-face-to-face contact frequency with non-cohabiting children, and the explanatory power of the variables was 24.1%. In order for the elderly to achieve successful aging, centering on child ties, the frequency of non-face-to-face contact, which can comfort the elderly's life and increase the satisfaction of life in a continuous relationship, is more important than having children live close and meet frequently. Based on this study, various strategies are needed for the successful aging of elderly people who are socially isolated due to concerns about COVID-19 infection.
Blockchain technology is also actively studied in the real estate transaction field, and real estate transactions have various ways. In this paper, we propose a model that simplifies the authentication procedure of auction systems using Ethereum's Ether to solve the problem of offline court auctions. The proposed model is written in Ethereum's Solidity language, the court registers the sale date and the sale date with the DApp browser, and the bidder accesses the address of the individual's wallet created through Metamask's private key. The bidder then selects the desired sale and enters the bid price amount to participate in the auction. The bidder's record of the highest bid price for the sale he wants is written on the Ethereum test network as a smart contract. and creates a block. Finally, smart contracts written on the network are distributed by the court auction manager to all nodes in the blockchain network, and each node in the blockchain network can be viewed and contract verified. As a result of analyzing the smart contracts of the proposed model and the performance of the system, there are fees incurred due to the creation and use of Ether on platforms using Ethereum, and participation. Ether's changes in value affect the price of the sale, resulting in inconsistent fees in smart contracts each time. However, in future work, we issue our own tokens to solve the market volatility problem and commission problem with the value change of Ether, and refine complex court auction systems.
The purpose of this study is to examine the effect of computational thinking course on learning flow and collaborative self-efficacy of university students and to explore the effectiveness of computational thinking course as liberal arts education. For this study, 177 freshmen at a university in Chungnam Province were surveyed learning flow and collaborative self-efficiency. The collected data were analyzed with Stata IC 14 for χ2 test and t-test. The results of this study are as follows. First, the learning flow of students who took computational thinking course were significantly higher(t=3.837 p<.001) compared to those who did not. Second, the collective self-efficiency of students who took computational thinking course were significantly higher(t=2.277 p<.01) compared to those who did not. Therefore the results show that computational course has positive effects on learning flow and collaborative self-efficiency of university students. Based on these findings, discussions and implications were presented on the importance and effectiveness of computational thinking course.
This study is a secondary data study that analyzes the factors affecting the quality of life of the elderly with metabolic syndrome and the elderly with metabolic syndrome with osteoporosis using data from the 7th year of the National Health and Nutrition Survey (2018). The subjects of this study were 639 patients with metabolic syndrome and 161 patients with metabolic syndrome with osteoporosis. For data analysis, the composite sample Rao-Scott χ² test, general linear model t-test, and regression model were used. As a result of the study, the factors that lowered the quality of life of metabolic syndrome were age, cohabitation, strength training, subjective health status, activity restriction, body mass index and depression, and the explanatory power was 50.4% (F=515.96, p<.001). In metabolic syndrome with osteoporosis, age, subjective health status, activity restriction, and stress were the factors that lowered the quality of life, and the explanatory power was 48.6% (F=10.42, p<.001). Based on these results, it is necessary to develop and provide an intensive multidisciplinary program for the elderly with metabolic syndrome accompanied by osteoporosis to solve the problem of activity restrictions and manage stress reduction through positive acceptance of health status, instrumental and social support, and caring support.
Artificial intelligence technology is influencing across all areas as technology advances and social needs change. Therefore, Korean universities have actively developed and operated classes related to artificial intelligence, and have emphasized the importance of artificial intelligence not only in major education but also in liberal arts education. However, there is a lack of research on the development of educational methods and educational programs because artificial intelligence education in liberal arts is in its early stages. SSI is an education that can apply social and ethical problems related to science to open problems that can creatively and reasonably present solutions. SSI can be applied to make AI education more effective. In this study, an artificial intelligence liberal arts curriculum applied SSI was developed with three purposes: First, it is designed is designed so that students subject to education can access it by considering its characteristics as actors of the intelligent information society. Second, it is designed so that students can experience artificial intelligence programs themselves and deal with science technology and social relevance in depth, focusing on various examples of real life. Third, it is designed and approached so that students can participate and cooperate for the purpose of solving common problems to develop cooperative problem-solving skills.
Eye tracking is one of the NUI technologies, and it finds out where the user is gazing. This technology allows users to input text or control GUI
In spite of various safety measures, coastal safety accidents continue to occur, so this study focused on using drones as countermeasures. Municipalities that already have coasts have begun operating unmanned multicopters for coastal safety management. In particular, by connecting an unmanned multi-copter to the currently applied smart city safety net system, it is possible to transmit real-time images of the scene in case of emergency in the coastal area to the local government safety information center. It is also expected to contribute significantly to strengthening safety management in coastal waters through a more rapid response to safety accidents. Therefore, in this paper, we propose the use of drones as an alternative to the limitations of the domestic coastal safety system by investigating the state of coastal safety accidents and analyzing the state of domestic coastal safety systems. In addition, it is expected to be a key breakthrough in the coastal area safety system by proposing a model linking the Korean K-Drone system.
The purpose of this study is to derive the implications of Grit research by analyzing domestic research trends on Grit, which is a non-cognitive subject that has been actively researched in Korea recently in order to grasp the achievements so far and to seek directions for research. The analysis method was analyzed according to the pre-set criteria (annual publication status, research subject, research method, research topic, etc.) which were focusing on KCI listed and KCI excellent Grit papers among domestic academic papers of 'RISS'. As a result of the study, from 2013 to 2019, a total of 203 papers were searched and published in 92 domestic journals. Beside that, the subjects of the study, 88 cases (43.35%) were college students and 180 cases (88.67%) were quantitative studies as the research method. So, the most common research method was quantitative research. As a quantitative research method, the structural relationship between Grit and other variables, mediating effect, difference verification, and moderation effect verification were shown in order, and qualitative research has been conducted since 2017 to develop the concept of Grit, the Grit scale, and the corresponding factor structure and validity. This study will contribute to the educational field by presenting the implications of research on the development of Grit in Korea.
This study presents how the recognition of nail care shop’s SNS information and nail care service’s quality affects to customer’s satisfaction, with 257 women who is aged between 20 and 50, with survey. The recognition of nail care shop’s SNS information is comprised with understanding, utilization, and loyalty. The recognition of nail care service’s quality is comprised with external service, internal service, and the service attitude of employee. All the factors are verified with feasibility study and reliability test. The information about nail care service can be found at the internet and SNS most. The recognition of nail care shop’s SNS information has positive effect with the satisfaction of SNS, and the recognition of nail care shop’s quality has positive relationship with the satisfaction of nail care service. The various utilization of SNS service with systemic service attitude of employee can lead to positive effect of promoting a nail care shop.
This study focuses on that, unlike evolving smart technology, goals, policies, and administrative organization elements are tools that do not change in smart city implementation, and by applying the concept of policy implemental means, the characteristics of the Singapore Smart Nation Initiative are analyzed, results are derived and implications are suggested. To this end, literature analysis is conducted based on the case analysis framework with “Smart Nation” as an analysis unit and “project, administration, citizen engagement” as analysis elements. The implications through analysis are as follows. First, it is required to establish a state-led initiative for a major transformation into a digital society. Second, it is necessary to establish executive agencies directly under the president or prime minister for effective implementation of the initiative. Third, complementary programs at the level of detailed strategies, administrative organizations, and citizen participation as a means of implementation, should be considered and the flow of the recent digital ecosystem should be reflected. Fourth, it is necessary to promote a national movement for a great transformation into a digital society where all the people participate.
This study is to suggest improvements of personal information protection in South Korea, according to requiring the safety of process and protection of personal information. Accordingly, based on data collection and analysis through literature research, this study derived the issues and suitable standards of personal information for major artificial intelligence services. In addition, this cases studies were reviewed, focusing on the legal compliance and porcessing compliance for personal information proection in major countries. And it suggested the improvement plan applied in South Korea. As the results, in legal compliance, it is required reorganization of related laws, responsibility and compliance to develop and provide AI, and operation of risk management for personal information protection laws in AI services. In terms of processing compliance, first, in pre-processing and refining, it is necessary to standardize data set reference models, control data set quality, and voluntarily label AI applications. Second, in development and utilization of algorithm, it is need to establish and apply a clear regulation of the algorithm. As such, South Korea should apply suitable improvement tasks for personal information protection of safe AI service.
The response characteristics of the forced vibration generated when the high-damped vehicle pass the bumped barrier was studied, and in particular, the response behavior of displacement, velocity and acceleration was analyzed for the forced vibration model. In addition, in order to obtain responses such as displacement, velocity, and acceleration, a numerical analysis technique of the Runge-Kutta-Gill method was performed in time domain. The response was successfully obtained in detail under several high damping conditions. As a numerical analysis result, the response of the vehicle was obtained by considering the vehicle body to which the impulse impact was applied. Also, the analysis result was compared with the experimental result in order to verify the validity of vehicle model. The amplitude and natural frequency of the vehicle were considered and analyzed. The Nyquist diagram of the vehicle model was also obtained and the relationship could be analyzed. And the vibration response was analyzed on different mass, damping and stiffness.
Recently, due to the many features and advantages of cloud computing, cloud service is being introduced to countless industries around the world at an unbelievably rapid pace. With the rapid increase in the introduction of multi-cloud based services, security vulnerabilities are increasing, and the risk of data leakage from cloud computing services are also expected to increase. Therefore, this study will propose an AWS Well-Architected based security architecture configuration method such as AWS standard security architecture, AWS shared security architecture model that can be applied for personal information security including cost effective of cloud services for better security in AWS cloud service. The AWS security architecture proposed in this study are expected to help many businesses and institutions that are hoping to establish a safe and reliable AWS cloud system.
