• Journal of the Korea Institute of Information Security & Cryptology
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• v.14 no.2
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• pp.85-100
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• 2004

Study and analysis on the digital certification of the world today, and census on how digital signature is being used or considered for the government will be used to sum of what can be the difficulties and Problems in operating digital signature certifications for the government administrations at this research, and of course the answers to these problems will be provided too. This research suggests practical ideas on how to interoperate between Government PKI (GPKI: Administrational Digital Certification for the Government) and National PKI (NPKI: Digital Certification for General Public ＆Business), how to make use of Standard Security APIs, how to manage (e.g. issue, reissue, update, revoke) digital certificate, how to improve technical side of security and reliability, and how to improve political issues on public education for information security. Digital certification will become more popular and widely used in government administrations in the future. Therefore, census and research on demands md satisfactions of digital certification for public and government will be regularly performed. Of course, continuous maintenances and improvement in this field will be necessary to obtain firmer way of information security.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.369-379
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• 2021

The purpose of this study was empirical verification of the effect of adolescents' truancy experience on the self-awareness and emotional problems. For this, using the data of 2016 in the Korean Children and Youth Panel Survey(KCYPS), we compared and analyzed using t-test and multiple regression analysis the self-awareness and emotional problems of adolescents who experienced truancy and adolescents who did not. As a result of the analysis, adolescents with truancy experience had relatively low self-awareness, and statistically significant but low scores in self-identity and career identity. However, there was a clear difference in emotional problems, and truancy adolescents scored high in attention, aggression, physical symptoms, and depression. This proved that adolescents with experience of truancy were more exposed to emotional problems, and it was necessary to develop a support system and program for this.

• The Journal of Sustainable Design and Educational Environment Research
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• v.20 no.1
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• pp.11-18
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• 2021

The objective of this research is to propose the policy alternatives which can assist schools to effectively carry out the School Space Innovation Project (SSIP) of the Ministry of Education. The Emotional Space Project (ESP) of Gangwon-do School District was analyzed as one of representative SSIPs. Chapter II analyzed the project process and stakeholders involved in the ESP. Chapter III carried out the interview with the representative stakeholders that had participated in each step. The interview described the major problems ESP and SSIP have. Finally, Chapter IV proposed the comprehensive alternatives to deal with the problems, such as improving the effectiveness of project information sessions, strengthening the competencies of facilitators, and developing guidelines. It is expected that the research alternatives can be applied for developing innovative school spaces more suited to school scenes as well as helping effective operation of SSIP in schools.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.469-474
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• 2020

This study explains the characteristics of micro-insurance based on the theoretical model of health insurance, such as the low demand of low-income people and the lower demand of higher risk aversion. In particular, these characteristics contradict the existing insurance theory which states that the lower the income, the higher the risk aversion, and the higher the demand for insurance. This study postulates a two-period model focusing on health insurance, contrary to a one-period model assumed in existing studies. As a result, first, we show that the decrease in income leads to a decrease in the preventive effort for illness. Second, we offer a model for micro-insurance in which the individual chooses a partial insurance under an actuarially fair insurance premium, while full insurance is optimal in existing studies. Third, we also show that the insurance demand decreases when the outlook for the future improves. Fourth, we finally show that the lack of trust and default risk of the insurer decrease the insurance demand as risk aversion increases.

• 한국노년학
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• v.41 no.4
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• pp.491-504
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• 2021

This study investigated the effect of death anxiety on the sense of self-integration in the elderly and verified the mediating effect of psychological well-being in the relationship between death anxiety and self-integration. For this study, a questionnaire was conducted from September 1, 2020 to November 30, 2020, targeting 254 elderly people aged 65 to 94 who live in elderly-related facilities in Seoul and Gyeonggi-do. As measurement tools, the death anxiety scale, psychological well-being scale, and self-integration scale were used, and Baron·Kenny (1986)'s three-step mediating effect analysis method was used. The results of the study first, The influence of death anxiety on self-integration was statistically significant. Second, the results of using the three-stage mediating effect analysis method proposed by Baron and Kenny (1986), In the relationship between death anxiety and self-integration, psychological well-being was found to have a mediating effect. In conclusion, the results of this study suggest that in order to effectively and positively deal with the elderly's self-integration problem, the elderly's psychological well-being as well as the elderly's death anxiety must not be overlooked.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.241-249
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• 2021

This study is investigating the effectiveness of a blended learning for English listening and reading class by analyzing students' learning behavior. To this end, two surveys were conducted on a total of 75 students from the two different classes of Academic English Listening and Reading course. The research results showed that in the online class, the students built undesirable learning behavior such as solving listening quizzes by reading listening scripts or watching the instructor's lectures about the scripts and completing the assignment of summary of the scripts by referring to the Korean versions. In the offline class, the students' participation in group activities and attention to lectures was good. Therefore, it can be concluded that because of the students' poor online learning behavior, this blended learning was rather not effective. So the suggestions are discussed to enhance the effectiveness of the blended learning for English listening and reading.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.4
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• pp.17-22
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• 2022

With the spread of web services, data types are becoming more diversified. In addition to the form of storing data such as images, videos, and texts, the number and form of properties and metadata expressing the data are different for each data. In order to efficiently process such unstructured data, a key-value store is widely used for state-of-the-art applications. LSM-Tree (Log Structured Merge Tree) is the core data structure of various commercial key-value stores. LSM-Tree is optimized to provide high performance for small writes by recording all write and delete operations in a log manner. However, there is a problem in that the delay time and processing speed of user requests are lowered as batches of deletion operations for expired data are inserted into the LSM-Tree as special key-value data. This paper presents a Filtered LSM-Tree (FLSM-Tree) that solves the above problem by separating the deleted key from the main tree structure while maintaining all the advantages of the existing LSM-Tree. The proposed method is implemented in LevelDB, a commercial key-value store and it shows that the read performance is improved by up to 47% in performance evaluation.

• Journal of the Korea Convergence Society
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• v.13 no.2
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• pp.249-255
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• 2022

This study proposed an analysis framework for real-time prediction of CNC processing defects using machine learning-based models that are recently attracting attention as processing defect prediction methods, and applied it to CNC machines. Analysis shows that the XGBoost, CatBoost, and LightGBM models have the same best accuracy, precision, recall, F1 score, and AUC, of which the LightGBM model took the shortest execution time. This short run time has practical advantages such as reducing actual system deployment costs, reducing the probability of CNC machine damage due to rapid prediction of defects, and increasing overall CNC machine utilization, confirming that the LightGBM model is the most effective machine learning model for CNC machines with only basic sensors installed. In addition, it was confirmed that classification performance was maximized when an ensemble model consisting of LightGBM, ExtraTrees, k-Nearest Neighbors, and logistic regression models was applied in situations where there are no restrictions on execution time and computing power.

• Smart Media Journal
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• v.12 no.3
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• pp.102-111
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• 2023

This study is a case study on investigating the possibility of the school push as a tool of learner-instructor interaction in untact education environment. To this end, one-sentence dictation using the push was implemented and one survey was conducted on a total of 144 students from two different English courses, 127 of whom responded the survey. The findings revealed that the push is effective for instructors to communicate with students in that it has high accessibility as MIM and school-based app. However, making the push be a more useful tool requires for instructors to be committed to communication with their students, to be well informed about the strengths of the push for its promotion, and to provide comprehensive introduction on how to use the push and check if students use it well.

• Industry Promotion Research
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• v.8 no.2
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• pp.93-100
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• 2023

This study used Gangwon provincial social survey data(2021) to verify the effect of working environment satisfaction of the main working population on settlement consciousness and the mediating effect of subject employment stability. The working environment satisfaction was analyzed by dividing it into three sub-factors: income satisfaction, working conditions satisfaction, and community life satisfaction. As a result of the study, all three sub-factors of working environment satisfaction and subjective employment stability had a positive correlations with settlement consciousness. It was confirmed that subjective employment stability had a partial mediating effect when each of the three sub-factors of working environment satisfaction affected settlement consciousness. Based on the results of the study, it is meaningful to provide empirical data for preventing outflow of the local population by revealing the effect of working environment satisfaction and subjective employment stability on the settlement consciousness.