• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.7
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• pp.1060-1070
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• 2022

With the development of information technology, the size of the system has become larger and diversified, and the existing role-based access control has faced limitations. Blockchain technology is being used in various fields by presenting new solutions to existing security vulnerabilities. This paper suggests efficient role-based access control in a blockchain where the required gas and processing time vary depending on the access frequency and capacity of the storage. The proposed method redefines the role of reusable units, introduces a hierarchical structure that can efficiently reflect dynamic states to enhance efficiency and scalability, and includes user-centered authentication functions to enable cryptocurrency linkage. The proposed model was theoretically verified using Markov chain, implemented in Ethereum private network, and compared experiments on representative functions were conducted to verify the time and gas efficiency required for user addition and transaction registration. Based on this in the future, structural expansion and experiments are required in consideration of exception situations.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.12
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• pp.1809-1816
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• 2021

In order to identify the latest research trends using data related to national R&D projects and to produce and utilize meaningful information, the application of automatic classification technology was also required in the national R&D information service, so we conducted research to automatically classify and recommend research field. About 450,000 cases of national R&D project data from 2013 to 2020 were collected and used for learning and evaluation. A model was selected after data pre-processing, analysis, and performance analysis for valid data among collected data. The performance of Word2vec, GloVe, and fastText was compared for the purpose of deriving the optimal model combination. As a result of the experiment, the accuracy of only the subcategories used as essential items of task information is 90.11%. This model is expected to be applicable to the automatic classification study of other classification systems with a hierarchical structure similar to that of the national science and technology standard classification research field.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.297-306
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• 2022

This study In relationship between knowledge, health beliefs, and preventive health behavior of corona 19 was made for the purpose of the investigation of nursing college students in health care practice.,The survey target was 231 persons, and the data collected from October 27, 2021 to November 4, 2021 was analyzed using the SPSS23.0 program.,In order to examine factors affecting preventive health behavior of nursing college students for corona 19, hierarchical regression analysis was carried out.,The degree of regression model fitness (F=9.71, p<.005) was related to major satisfaction (β=.18, p=.009), corona 19 knowledge (β=.20, p=.001), corona 19 health belief (β=.36, p=.000) and the descriptive power was 30.6%.,Therefore, it is necessary to develop a strategy of the health education program to promote preventive health behavior for corona 19 of nursing college students.

• Journal of the Society of Disaster Information
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• v.19 no.1
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• pp.146-160
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• 2023

Purpose: The construction industry is a complex mechanism in which multiple processes are carried out at the same time, and the frequency and severity of accidents account for a higher proportion than other industries, and the accident fatality rate also accounts for more than 50% of all industries. In order to reduce such accidents, the government's disaster investigation method analyzes the limitations from the system safety point of view and proposes improvement plans. Method: The main contents of the government's serious accident investigation were identified, and the effectiveness/adequacy was analyzed from the system safety point of view. Result: Disaster investigation and analysis techniques tailored to violations and compliance were limited in providing fundamental solutions, and alternatives for accident prevention were possible for each component of the system when safety constraints, controls, and hierarchical interactions were combined. Conclusion: When combining the disaster investigation and analysis method from the current accident analysis method from the perspective of system safety, it is possible to identify the problems of interaction by class and communication process, so it is possible to suggest alternatives to prevent accidents from an integrated perspective.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.68 no.1
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• pp.8-19
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• 2023

Adzuki beans have gained popularity in recent years due to their health benefits. Breeding of Adzuki beans is less favorable than with other legumes due to low genetic diversity. This study aimed to evaluate the genetic diversity of 252 adzuki bean germplasms from China, Japan, and Korea using 18 agro-morphological parameters and comparing their performance to three prominent Korean cultivars: Geomguseul, Arari, and Chungjupat. Leaf shape, pod color, and seed coat color were among the qualitative traits that showed wide variations. The quantitative variables also showed wide variations among adzuki bean germplasms. Although there was no significant difference (p < 0.05), the average rate of germination declined in the order of Korean (91.44%) > Chinese (91.31%) > Japanese (87.47%) adzuki beans. Chinese adzuki beans needed fewer days to flower (DF, 58.22 days) and days to mature (DM, 107.13 days), which varied significantly compared to the Korean and Japanese adzuki beans (p < 0.05). The average number of pods per plant (PPP) and one-hundred seeds weight (HSW) were higher in Japanese adzuki beans compared to the Korean and Chinese adzuki beans although the variation of each was not significant. Almost 29.76% of the accessions had early-blooming flowers, 3.97% were premature, 21.43% produced more PPP, and 3.97% yielded more SPP compared to control cultivars. Results of hierarchical cluster and principal component analyses revealed three clusters with significant variation in all quantitative variables except for RG (p < 0.05). The key factors in multivariate analyses were DF, DM, and HSW. Our study investigated the genetic diversity of adzuki bean accessions and identified ten early maturing and ten high PPP-yielding accessions. Our findings would help farmers and breeders to select the top-performing accessions that can provide them with various options.

• The Journal of Korean Academic Society of Nursing Education
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• v.28 no.4
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• pp.411-420
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• 2022

Purpose: The purpose of this study was to identify the factors influencing nursing students' caring efficiency. Methods: This study included 212 nursing students from three University nursing departments in Busan metropolitan city. Data were collected from September 1 to September 29, 2021, using self-report questionnaires. For data analysis, descriptive statistics, independent t-test, one-way ANOVA, Pearson's correlation coefficient, and hierarchical multiple regression analyses were conducted with SPSS version 24.0. Results: Positive psychological capital and interpersonal competence on the relationship and character of nursing students were positively correlated with caring efficiency. The variables affecting the caring efficiency of the subjects were character (β=.60, p<.001), amount of participation in a character development program (5 times or more) (β=.16, p=.023), levels of stress (moderate β=.13, p=.037; low β=.15, p=.015), motivation to apply to a nursing program (β=.12, p=.024), and volunteer experience (β=.11, p=.038). The total explanatory power of the variables was 50.0% (F=14.69, p<.001). Conclusion: Character was one of the biggest influential factors on caring efficiency. In order to improve nursing students' caring efficiency, above all, it is necessary to make efforts to raise the level of individual character.

• Advanced Industrial SCIence
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• v.2 no.3
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• pp.8-14
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• 2023

The majority of IoT devices already employ AIoT, however there are still numerous issues that need to be resolved before AI applications can be deployed. In order to more effectively distribute IoT edge resources, this paper propose a machine learning-based approach to managing IoT edge resources. The suggested method constantly improves the allocation of IoT resources by identifying IoT edge resource trends using machine learning. IoT resources that have been optimized make use of machine learning convolution to reliably sustain IoT edge resources that are always changing. By storing each machine learning-based IoT edge resource as a hash value alongside the resource of the previous pattern, the suggested approach effectively verifies the resource as an attack pattern in a distributed AIoT context. Experimental results evaluate energy efficiency in three different test scenarios to verify the integrity of IoT Edge resources to see if they work well in complex environments with heterogeneous computational hardware.

• Journal of Home Health Care Nursing
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• v.30 no.2
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• pp.202-215
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• 2023

Purpose: This study attempted to determine the factors related to behaviors of reducing exposure to endocrine disrupting chemicals (BRE to EDCs) in pregnancy, based on the PRECEDE model. Methods: A cross-sectional survey was conducted with participants (N=239) who met the medical records and eligibility criteria from the Women's Hospital and Public Health Center. Data were collected using a specially-designed questionnaire based on the PRECEDE model and included BRE to EDCs predisposing factors, reinforcing factors, and enabling factors. The data were analyzed using the chi-square test, independent t-test, one way ANOVA, Pearson's correlation coefficients and a hierarchical multiple regression analysis. Results: In Model I it was found that participation in prenatal education influenced the BRE to EDCs significantly; and a regression showed that the determinant variables accounted for 3.4%. In Model II, the predisposing factors of perceived barriers of BRE to EDCs and environmental self-efficacy were added. It was shown that they significantly influenced BRE to EDCs in the order named, and a regression revealed that increases in the determinant variables accounted for 22.5%. In Model III, to which enabling factors were added, the information acquisition experience of BRE to EDCs interacted significantly with BRE to EDCs and a regression showed an increase in the determinant variables accounting for 25.3%. Conclusion: The results of this study, the content of endocrine disruptors must be included in the prenatal care education program for pregnant women, and it should be composed of contents that can reduce the perceived obstacle to BRE to EDCs, enhance the environmental self-efficacy, and provide the information in regard to reducing exposure to EDCs.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.239-248
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• 2023

This study is a descriptive correlation study to identify the relationship among online collaborating learning attitudes, empathy, critical thinking disposition, and sense of community in nursing students in the online learning environment during COVID-19. Data were collected from 129 nursing students. The SPSS/28.0 program was used to analyze the data using descriptive statistics, Pearson's correlation coefficient, independent t-test, one-way ANOVA, Scheffé test, Pearson's correlation analysis, and hierarchical multiple regression. Factors that significantly affect sense of community in nursing students were online collaborating learning attitudes and critical thinking disposition, and the explanatory power was about 42.2%. Based on these results, in order to increase sense of community of nursing students in non-face-to-face learning environment, it is required to strengthen the problem-solving-centered learning method cultivating the online collaborating learning attitude and critical thinking disposition.

• Journal of Industrial Convergence
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• v.21 no.5
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• pp.67-75
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• 2023

This study is a descriptive research study to confirm the mediating effect of work-life balance in the relationship between grit and job embeddedness of clinical nurses. Participants included 155 nurses from four hospitals located in D city. Data was collected from July 29 to August 19, 2022 using a self-report questionnaires. The collected data were analyzed by descriptive statistics, Pearson's correlation coefficient and Baron and Kenny's three-step hierarchical regression using the SPSS 22.0 program. In this study, it was found that there was a significant positive correlation between the nurse's grit, job embeddedness, and work-life balance, and it was confirmed that work-life balance partially mediated the relationship between grit and job embeddedness. Therefore, it is suggested that grit and work-life balance should be improved in order to improve the job embeddedness of nurses.