• Journal of Digital Convergence
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• v.11 no.1
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• pp.289-297
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• 2013

The destination of this study is a convenience sample of 301 people age 65 and older to use each one elderly welfare center D, M received a structured questionnaire for one-on-one interviews with the subjects to read all the questions and questionnaire was written. The depressed group and the normal group, identify the general characteristics, the ADL, and sleep, and the difference between the two groups, and relative risk were analyzed. The results of the study are as follows: Showed depressed group compared to normal group was the low level of ability to perform daily living, sleep well, not more than the ability to perform daily living, dressing, bowel and bladder management, and complained of the difficulty to perform instrumental activities of daily living ability of grooming, more difficult to appeal to public transportation, shopping. In conclusion, elderly health promotion strategy when you want to take into account whether or not the depression of the elderly will require the development of a variety of education and physical activity programs, and suggest the need for expanded research to determine the effectiveness.

• Journal of Digital Convergence
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• v.17 no.8
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• pp.357-365
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• 2019

This study was conducted to identify correlations in clinical nurses' personality, resilience and happiness index to provide basic resources for nurses' happiness at work. Methods: From May 1 to 15, 2019, self-report questionnaires were distributed and collected from 307 of clinical nurses in 10 hospitals located in P-metropolitan city and K-province. Analyses included descriptive statistics, t-test, Analysis of Variance, Pearson's correlation coefficient, and multiple regression, conducted using IBM SPSS/WIN 24.0. Mean scores were nurses' personality 3.67, resilience 3.28, and happiness index 3.28. There were significant differences on the happiness index for: clinical experience, type of work, and leisure activities and a positive correlation between personality and resilience, between personality and happiness index and between happiness index and resilience. Happiness index was influenced by clinical experience 'Less than 1-5' (${\beta}=-.41$), '${\geq}10$' ${\beta}=-.39$), 'Less than 5-10' (${\beta}=-.34$), resilience (${\beta}=.35$), personality (${\beta}=.29$), type of work '3 shifts' (${\beta}=.12$), leisure activities (${\beta}=.10$). Explanatory power of these variables was 41%. Conclusion: Based on the findings of this study, so it is necessary to operated the career management, work management, personality training, support for resilience promotion program and leisure activities in order to increase the happiness index of hospital nurses.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.135-145
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• 2019

Prolonged recession has caused the youth unemployment rate in Korea to remain at a high level of approximately 10% for years. Recently, the number of unemployed Koreans in their 30s and 40s has shown an upward trend. To expand the government's employment promotion and unemployment benefits from youth-centered policies to diverse age groups, including people in their 30s and 40s, prediction models for different age groups are required. Thus, we aimed to develop unemployment prediction models for specific age groups (30s and 40s) using available unemployment rates provided by Statistics Korea and Google search queries related to them. We first estimated multiple linear regressions (Model 1) using seasonal autoregressive integrated moving average approach with relevant unemployment rates. Then, we introduced Google search queries to obtain improved models (Model 2). For both groups, consequently, Model 2 additionally using web queries outperformed Model 1 during training and predictive periods. This result indicates that a web search query is still significant to improve the unemployment predictive models for Koreans. For practical application, this study needs to be furthered but will contribute to obtaining age-wise unemployment predictions.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.29-36
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• 2019

In this study, we analyzed knowledge management cases of the Ministry of Culture, Sports and Tourism and examined knowledge management vision, promotion organization and knowledge management activity system. This study aims to clarify implications for successful knowledge management in government sector. In the case of the Ministry of Culture, Sports and Tourism, which was the subject of the study, it was evaluated as having performed well in the management activities of the government department in the evaluation of "Knowledge Target for 2018" jointly hosted by Maeil Economic Daily and the Ministry of Public Administration and Security. In this study, we conducted an in - depth interview with the knowledge management staff of the Ministry of Culture and Tourism and analyzed the success factors of knowledge management in the government sector. First, the vision of knowledge management and the role of dedicated organization were very important. In addition, knowledge management system was used to effectively acquire, share, and accumulate knowledge and utilize it. In addition, appropriate compensation systems for knowledge management activities are also important success factors. Therefore, in order to encourage knowledge management activities, it is necessary for public institutions to establish an incentive system such as an economic compensation system for personnel sharing activities and HR personnel.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.61-69
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• 2021

The military pension deficit is increasing due to an increase in the average life expectancy and pension option rate, and a significant reason for this is estimated to be a continued increase in the number of military pension recipients. In terms of the soundness of military pension finances, this paper uses the Markov chain model to validate the stability of the military group, suggesting the direction of future military pension system in terms of the ratio of pension receipts to employees, and verifying the feasibility of the method applied through verification. Through this paper, we have confirmed that the initial 45,270 military personnel converge to 43,141 after a certain period of time and reach a stable state, which is expected to help us to estimate the long term size of military pension recipients to confirm the direction of national financial support. Military man who are eligible for pensions for more than 20 years have a relatively low rate of turnover or retirement compared to ordinary private groups, making it easier to define their status and simplify state transition probabilities. Therefore, it is expected that the sustainability of the military pension will be confirmed from a long term perspective by viewing the military group as a system and applying it to the Markov chain model by checking the probability of transfer of status such as promotion, maintaining the current grade, and retirement during the period.

• 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.715-724
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• 2022

The purpose of this study was investigates the effects of perception the importance of patient safety management, professional autonomy and safety climate on patient safety nursing activity on hospital nurses. Participants were 211 nurses working in 4 general hospitals. Data were collected with structured questionnaires from January 11 to January 25, 2021. Data were analyzed descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient and stepwise multiple regression with SPSS 21.0 program. Factor affecting the patient safety nursing activity were safety climate(β=.297, p<.001), perception the importance of patient safety management(β=.287, p<.001), and work place(β=.169, p=.004). In summary, in order to promote patient safety nursing activities, it is necessary to develop and apply educational programs considering the work of nurses' working place and various characteristics, improve perception the importance of patient safety, and positive safety climate. This study is meaningful in providing basic data for the development of programs related to the promotion of patient safety nursing activities for hospital nurses.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.543-551
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• 2022

The purpose of this study was to understand the integration and clinical practice stress of nursing students and to understand the relationship with department satisfaction. Data collection was from June to July 2021. Data were collected through questionnaires consisting of scales of integration, clinical practice stress, and departmental satisfaction, targeting 3rd and 4th grade nursing students who have had more than one clinical practice experience. A total of 394 copies were analyzed using the SPSS program to analyze the data. As a result of the study, integration showed a positive correlation with department satisfaction (r=.412, p<.01) and a negative correlation with clinical practice stress (r=-.193, p<.01). The predictive factors affecting the department satisfaction of nursing students were integration (β=.406, p<.001) and admission motivation (β=.166, p=.006), which accounted for 20% of the total variance. Integration Performance It was confirmed that the motivation for entering the nursing department affects department satisfaction. In order to increase the department satisfaction of nursing students, it is thought that it is necessary to operate an integration promotion program and department adaptation program from the early stage of admission.

• Journal of Digital Convergence
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• v.20 no.1
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• pp.203-211
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• 2022

This study is to examine the causes of research misconduct such as plagiarism, forgery, redundant publication, unfair author expression, and incapacitation of the research ethics system of university researchers and to suggest improvement plan. It basically relied on literature research. In order to supplement the deficiencies in literature research, I sought advice from an expert professor who had experience working in a research-related field in university or who is currently in a position related to research ethics through the delphi-method. As a result of the study, from the perspective of individual researchers, the complacent attitude, dishonesty, and greed for research funds were identified as the main reasons. In terms of organization, it was analyzed for reasons such as lack of detail and application of regulations, lack of verification system, and performance-oriented research environment. In order to overcome research misconduct caused by the researcher's personal reasons, regularization, increase in the number of research ethics education, and strengthening personal penalties were suggested. As a way to overcome irregularities arising from institutional reasons, the reinforcement of the verification system, the reinforcement of the whistle-blower's personal protection system, the omission of promotion, and the quality and quantitative balance of research evaluation was suggested.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.19-24
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• 2024

The future military combat environment is rapidly expanding the role and importance of artificial intelligence (AI) in defense, aligning with the current trends of declining military populations and evolving dynamics. Particularly, in the civilian sector, AI development has surged into new domains based on foundation models, such as OpenAI's Chat-GPT, categorized as Super-Giant AI or Hyperscale AI. The U.S. Department of Defense has organized Task Force Lima under the Chief Digital and AI Office (CDAO) to conduct research on the application of Large Language Models (LLM) and generative AI. Advanced military nations like China and Israel are also actively researching the integration of Super-Giant AI into their military capabilities. Consequently, there is a growing need for research within our military regarding the potential applications and fields of application for Super-Giant AI in weapon systems. In this paper, we compare the characteristics and pros and cons of specialized AI and Super-Giant AI (Foundation Models) and explore new application areas for Super-Giant AI in weapon systems. Anticipating future application areas and potential challenges, this research aims to provide insights into effectively integrating Super-Giant Artificial Intelligence into defense operations. It is expected to contribute to the development of military capabilities, policy formulation, and international security strategies in the era of advanced artificial intelligence.