• The Journal of the Korea Contents Association
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• v.6 no.1
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• pp.160-169
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• 2006

This paper describes the data structure for program analysis and optimization of bytecode level. First we create an extended CFG(Control Flow Graph). Because of the special properties of bytecode, we must adaptively extend the existing control flow analysis techniques. We build basic blocks to create the CFG and create various data that can be used for optimization. The created CFG can be tested for comprehension and maintenance of Java bytecode, and can also be used for other analyses such as data flow analysis. This paper implements CTOC's CTOC-BR(CTOC-Bytecode tRanslator) for control flow analysis of bytecode level. CTOC(Classes To Optimized Classes) is a Java bytecode framework for optimization and analysis. This paper covers the first part of the CTOC framework. CTOC-BR is a tool that converts the bytecode into tree form for easy optimization and analysis of bytecode in CTOC.

• The Journal of the Korea Contents Association
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• v.15 no.6
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• pp.346-357
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• 2015

Purpose: This descriptive study was to examine uncertainty and performance of infection control in the VRE patients' caregivers. Methods: The participants were 82 caregivers who involved with the VRE patients care in D tertiary hospital in D metropolitan city. Data were analyzed with number, percentage, t-test, and ANOVA using SPSS/Win 21.0. Results: The participants' uncertainty was 56.99 and performance of infection control was 35.09. Performance of infection control was significantly different by age (F=121.38, p<.001), education (F=102.77, p<.001), relationship with the patient (F=17.80, p<.001), hours of caring per day (t=3.14, p=.002), and type of family (t=-8.65, p<.001). There was a significant negative correlation between participants' uncertainty and performance of infection control (r=-.96, p<.001). Conclusion: The results of the study will be used to develop nursing intervention program and standard protocol for infection control for the VRE patients' caregivers.

• Journal of Digital Convergence
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• v.15 no.3
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• pp.277-286
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• 2017

The purpose of this study was to identify factors associated with premenstrual syndrome among nursing students. Participants were 159 nursing students 2 colleges in B metropolitan city and 1 university in K city. Data were collected between October 28 and November 15, 2016 using structured questionnaires. Data were analyzed with the SPSS 21.0 program using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient and multiple regression. In nursing students premenstrual syndrome was significantly positive correlated with stress(r=-.396, p<.001) and menstrual attitude(r=-.176, p=.027). The significant factors that influence premenstrual syndrome were stress(${\beta}=.36$, p<.001) and dysmenorrhea(${\beta}=.22$, p=.003), which explained 19.4%. The results indicate a need to manage the premenstrual syndrome of nursing students. The finding also suggest that consideration be given to duration of menstruation, menstrual quantity and peri-menstrual dysphoria in developing strategies to reduce stress and dysmenorrhea and developing programs to manage the premenstrual syndrome among nursing students.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.305-315
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• 2017

This study examined the relationships sleep habits, daytime sleepiness, and problem behaviors. A cross-sectional survey design was used. Participants were 276 adolescents. Sleep habits, daytime sleepiness and problem behavior were measured by Adolescent Sleep Hygiene Scale (ASHS), Epworth Sleepiness Scale (ESS), and Korea-Youth Self Report (K-YSR), respectively. Data were collected from July to August, 2014 using self-reported questionnaires. Participants were middle school students, perceived their sleep time as enough and their sleep quality as good, have no problem behavior during sleep, and have no caffeinated drink for last a week were more likely to have higher score of sleep hygiene. Sleep habits score was associated negatively with daytime sleepiness and problem behaviors. Sleep impacts on physical growth, behavior, and emotional development of adolescent. Therefore, it is necessary to develop a sleep enhancement program for the good sleep habits of the adolescents, and to make efforts at home and school.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.489-498
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• 2020

The purpose of the study is to investigate the impact on mental health of university students from job-seeking stress, career decision-making, and social support. 429 university students from the three universities in J province were instructed to answer structured questionnaires, and the data was analyzed by t-test, ANOVA, Pearson Correlation, and Regression analysis using SPSS 24.0 software. The results reveal that job-seeking stress shows positive correlation to mental health, whereas career decision-making and social support show statistically significant negative correlations. The results also show that the factors that affect mental health are job-seeking stress and social support with Exploratory power of 48.9%. It is necessary to develop and apply measures that consider impact factors such as job-seeking stress to improve mental health of university students. It is also important to establish and maintain a support system for mental health.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.333-342
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• 2020

The purpose of this study was to identify factors influencing elderly care burden of a working family. Methods: A descriptive correlational design was used. Participants was 153 family member of elderly at five nursing facilities. Data were collected through self-reported questionnaires from July to October 2019. Data were analyzed using an independent t-test, one-way ANOVA, Pearson's correlation, and hierarchical multiple regression analysis with the SPSS WIN 25.0 program. Analysis result, explaining 20,8% of the variance, which indicated that subjects for giving care, monthly admission fee, burden of expenses, and satisfaction for fee service were significant predictors of working family's care burden. Various individual characteristics significantly influenced working family's care burden in aspects of emotional, social, economical, and physical burdens. Therefore, interventions to decrease working family's care burden must focus on their individual factors.

• Journal of Digital Convergence
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• v.18 no.10
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• pp.335-344
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• 2020

This study was a descriptive research study to identify of awareness about pandemic influenza, ethical awareness, and ethical decision-making in the situation of COVID-19 pandemic. The subjects were 194 nursing students in H and Y city. Data collected from May 1 to June 20, 2020 and analyzed using the SPSS 24.0 program. The subject's awareness about pandemic influenza was moderate, and ethical awareness and ethical decision-making were high. Ethics awareness and ethical decision-making levels were higher for those who had a history of infection with new type of infectious disease than those who did not. Awareness about pandemic influenza is positively correlated with ethical awareness(r=.291, p<.001) and ethical decision-making related to pandemic influenza(r=.143, p=.046), ethical awareness is a positive correlation with ethical decision-making(r=.274, p<.001). Based on result, propose the development of an educational program to make correct ethical decisions in the social disaster caused by infectious diseases for nursing students.

• Journal of the Korea Convergence Society
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• v.6 no.5
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• pp.39-47
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• 2015

This study was to explore the relationship between the job stress and mental health of nurses. The participants were 291 nurses from two general hospitals in C city. Job stress, mental health, and general characteristics of nurses were measured. The data were collected from April 7 to 30, 2015. The collected data was analyzed with descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients and multiple regression analysis. The mean score for job stress was 61.96 point and 92.45 for mental health. The mean scores for job stress were significantly different by age and turnover experience in nurses. Job stress was positively correlated with mental health(r=.233, p=.000). The findings indicate that job stress has an influence on mental health. We'd like to provide basic data on developing convergence programs to prevent and intervene job stress considering nurses' mental health problems in nursing service that is rapidly changing and specialized for the convergence generation.

• Journal of the Korea Convergence Society
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• v.6 no.5
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• pp.15-22
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• 2015

The purpose of this research is to analyze converged factors affecting compassion competence in clinical nurses. This is a descriptive correlation research to examine converged factors affecting compassion competence of clinical nurses. Research objects are 233 nurses working in three general hospitals located in Chungnam province, and who understand the purposes of this research and agree to participate in this research. To analyze the data, descriptive statistics, t-test, ANOVA, Pearson's Correlation Coefficient, and stepwise multiple regression analysis were used. The variable which has the greatest effect on compassion competence was compassion satisfaction, followed by clinical experience, compassion fatigue, with those 3 variables explaining 34.4% of compassion competence. Therefore it is necessary to develop specific education programs to improve compassion competence of nurses. Since the explaining power of three variables to compassion competence is 34.4%, it is necessary to add more meaningful variables to explain compassion competence of clinical nurses.

• Journal of the Korean Association of Geographic Information Studies
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• v.1 no.2
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• pp.1-13
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• 1998

The objective of this paper is to develop a cartographic model for water tank suitability for small forest fire extinction using GIS. Various digital maps were created using CAD & GIS for Amnam urban park, which is located in Seogu, Pusan city. The park had 4 small water tanks for fire extinction. The developed descriptive cartographic model identified the spatial effects of fire extinction due to the existing facilities. The prescriptive model to enhance spatial effects was developed for the determination and comparison of the effects of forest fire extinction due to the proposed facilities. This paper proved the techniques of GIS and cartographic modelling are significant for the suitability analysis of water tanks for small forest fire extinction.