• Research in Community and Public Health Nursing
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• v.13 no.3
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• pp.456-470
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• 2002

Objectives: The purpose of this study was to test the Theory of Planned Behavior (TPB) in the prediction of smoking cessation intention and smoking cessation behavior among adolescent smokers, in order to provide basic data to develop a future smoking cessation program as a nursing intervention. Method: The study subjects were 80 adolescent smokers who had smoked one cigarette and attended a five-day school smoking cessation program. The data were collected from October 24 to December 21, 1999. The instruments used in this study were the tools developed by Jee (1994) to measure TPB variables such as attitude toward smoking cessation behavior, subjective norm, perceived behavioral control, smoking cessation intention, and smoking cessation behavior. The data were analyzed with the SAS/PC program using descriptive statistics, hierarchical multiple regression, and logistic multiple regression. Results: 1. Attitude toward smoking cessation behavior, subjective norm, and perceived behavioral control were partially significant in predicting smoking cessation intention. 2. Smoking cessation intention and perceived behavioral control toward smoking cessation behavior did not significantly predict smoking cessation behavior. 3. There were partial interaction effects among the attitude toward smoking cessation behavior, subjective norm, and perceived behavioral control in the prediction of smoking cessation intention. 4. There were partial interaction effects between smoking cessation intention and perceiver behavioral control toward smoking cessation behavior in the prediction of smoking cessation behavior. Conclusion: This study partially demonstrated support for the TPB model that was partially useful in predicting smoking cessation intention and smoking cessation behavior among adolescent smokers. Therefore, it is recommended that attitude toward smoking cessation behavior and perceived behavioral control should be considered in developing smoking cessation programs and implementing nursing interventions to change the smoking behavior of adolescent smokers.

• Research in Community and Public Health Nursing
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• v.24 no.1
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• pp.51-61
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• 2013

Purpose: The aim of this study is to identify effects of emotional labor, job stress and personal resources on job satisfaction in home healthcare nurses. Methods: The subjects were 149 home healthcare nurses working for home healthcare centers at 61 hospitals. Data were collected using a structured questionnaire from November 22, 2010 to February 28, 2011 and analyzed with descriptive statistics, t-test, ANOVA, Pearson's correlation, Hierarchical multiple linear regression analysis. Results: The mean score of emotional labor level was $4.23{\pm}0.95$, that of job stress level $3.39{\pm}0.57$, that of personal resources $3.38{\pm}0.36$, and that of job satisfaction $3.31{\pm}0.40$. There were positive correlations among emotional labor, job stress, personal resources and job satisfaction. After age, educational level, job position, and work period in home health care, and traffic accident were controlled, the variables, emotional labor (${\beta}$=-.198, p = .034) and personal resources (${\beta}$=.236, p = .005) turned out to account for 13.3% of the job satisfaction. But job stress was not a statistically significant predictor. Conclusion: Home healthcare nurses were needed to minimize emotional labor and revitalize personal resources in order to maintain a comparatively high level of job satisfaction. Furthermore, it is necessary to carry out systematic education and an organizational management scheme into practice.

• Journal of the Korea Convergence Society
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• v.8 no.7
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• pp.237-243
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• 2017

Recently, the Korean government is planning to create ICT-centered clusters that will lead the fourth industrial revolution in the Yangjae-Umyeun area. In order for a cluster to be successful, innovation environments such as support systems and institutions should be appropriately prepared. In this study, we present a hierarchical model of ICT SME support measures after comprehending the support measures for existing SMEs and the factors needed for clustering, and then deriving the priorities of support measures. The questionnaire was distributed to 9 ICT SMEs and R&D experts. A total of 6 copies were collected. The priority of the support measures in this study is expected to be utilized for the successful development of R&CD cluster and the allocation of the support budget.

• The Journal of Korean Academic Society of Nursing Education
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• v.26 no.3
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• pp.248-258
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• 2020

Purpose: The purpose of this study was to identify the factors influencing nursing work performance among clinical nurses in the hospital. Methods: This descriptive correlational study collected data from 122 clinical nurses who were working in three tertiary referral hospitals in Busan. The data were collected, using self-reported questionnaires, from September 2 to October 14, 2019. The data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and multiple regression using SPSS/WIN 25.0 program. Results: Nursing work performance was significantly associated with resilience, innovation oriented culture, relationship oriented culture, and hierarchy oriented culture. The factors significantly influencing nursing work performance of the participants included relationship oriented culture (β=.27, p=.015), hierarchy oriented culture (β=.25, p=.003), resilience (β=.19, p=.035), and total clinical career (β=.18, p=.030), which explained 27.3% of nursing work performance (F=8.59, p<.001). Conclusion: The results indicate that there is a need to improve communication skills among multidisciplinary team members and to harmonize hierarchical and relational cultures in order to enhance nursing work performance. In addition, this study suggests developing interventions for enhancing the resilience of clinical nurses.

• 한국HCI학회:학술대회논문집
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• 2007.02c
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• pp.306-317
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• 2007

We present an interactive and accurate collision detection algorithm for deformable, polygonal objects based on the streaming computational model. Our algorithm can detect all possible pairwise primitive-level intersections between two severely deforming models at highly interactive rates. In our streaming computational model, we consider a set of axis aligned bounding boxes (AABBs) that bound each of the given deformable objects as an input stream and perform massively-parallel pairwise, overlapping tests onto the incoming streams. As a result, we are able to prevent performance stalls in the streaming pipeline that can be caused by expensive indexing mechanism required by bounding volume hierarchy-based streaming algorithms. At run-time, as the underlying models deform over time, we employ a novel, streaming algorithm to update the geometric changes in the AABB streams. Moreover, in order to get only the computed result (i.e., collision results between AABBs) without reading back the entire output streams, we propose a streaming en/decoding strategy that can be performed in a hierarchical fashion. After determining overlapped AABBs, we perform a primitive-level (e.g., triangle) intersection checking on a serial computational model such as CPUs. We implemented the entire pipeline of our algorithm using off-the-shelf graphics processors (GPUs), such as nVIDIA GeForce 7800 GTX, for streaming computations, and Intel Dual Core 3.4G processors for serial computations. We benchmarked our algorithm with different models of varying complexities, ranging from 15K up to 50K triangles, under various deformation motions, and the timings were obtained as 30~100 FPS depending on the complexity of models and their relative configurations. Finally, we made comparisons with a well-known GPU-based collision detection algorithm, CULLIDE [4] and observed about three times performance improvement over the earlier approach. We also made comparisons with a SW-based AABB culling algorithm [2] and observed about two times improvement.

• Journal of Families and Better Life
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• v.32 no.4
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• pp.41-56
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• 2014

The purpose of this study is to investigate the relationship between the expenditure on private education and stress from private education, and the role conflicts of the mothers of junior and senior high school students. The subjects were 300 mothers of students who are enrolled in junior and senior high school and receiving private education in Seoul and its suburbs. The results were as follows: First, the level of stress from private education was found to be higher than the scale range of the median, whereas the degree of role conflicts was slightly lower than the scale range of the median. Second, a hierarchical regression analysis was performed by using the expenditure on private education and stress from private education as independent variables and the socio-demographic variables of mothers as the control variables in order to identify their effect on the role conflicts of the mothers of the junior and senior high school students. The results show that the age of the mother, the household monthly income, the monthly expenditure on private education, and stress from private education were significantly related to the role conflicts of the mothers. That is, the older the age of the mother, the lower the level of monthly income, the lower the level of the monthly expenditure on private education, and the higher the level of stress from private education, the greater the degree of the role conflicts of the mother.

• Journal of Navigation and Port Research
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• v.27 no.2
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• pp.185-191
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• 2003

The aim of this research is to overall analyze/classify characteristics of Asian major ports. To achieve this aim, we firstly pointed out critical problems on research methodology and research scope which most of previous research have, from related literature review. In order to overcome those problems, major ports in A냠 were selected by the objective indicators, and both algorithms of AHP(Analytic Hierarchical Process) and FCM(Fuzzy C-Means) that revise weakness in previous clustering method were used. Through these hybrid approach, it were found that only 10 ports of 16 major Asian ports had their own phases in Asian major ports. Those 10 ports were classified into 6 port groups, and also membership degree of each port within the 4 port groups and ranking of each ports seer analyzed. Finally, based on results of these analysis, present status and future direction of Busan port were discussed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.317-320
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• 2016

The NH-NongHyup network and servers were paralyzed in 2011, in the 2013 3.20 cyber attack happened and Classified documents of Korea Hydro & Nuclear Power Co. Ltd were leaked on December in 2015. All of them were conducted by a foreign country. These attacks were planned for a long time compared to the script kids attacks and the techniques used were very complex and sophisticated. However, no successful solution has been implemented to defend an APT attack thus far. Therefore, we will use big data analytics to analyze whether or not APT attack has occurred in order to defend against the manipulative attackers. This research is based on the data collected through ISAC monitoring among 3 hierarchical Korean defense system. First, we will introduce related research about big data analytics and machine learning. Then, we design two big data analytics models to detect an APT attack and evaluate the models' accuracy and other results. Lastly, we will present an effective response method to address a detected APT attack.

• Journal of Fisheries and Marine Sciences Education
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• v.26 no.3
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• pp.510-524
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• 2014

The purpose of this study was to investigate the influence of teacher efficacy and collectivistic self-esteem on alleviation of teacher burnout. In order to achieve these research purpose, data were collected from 161 elementary and secondary school teachers using teacher efficacy scale, collectivistic self-esteem scale and psychological burnout scale. Collected data were analyzed using correlation analysis and hierarchical multiple regression. The major results of statistical analyses were as follows: First, generally background variables were significantly associated with burnout and therefore, background variables were controlled in the analysis of teacher efficacy and collectivistic self-esteem. Second, teacher efficacy influenced on the total burnout(38%) and sub-factors which were emotional exhaustion(27.3%), depersonalization(20.7%) and diminished personal accomplishment(36.1%), and collectivistic self-esteem influenced on the total burnout(38.8%) and sub-factors which were emotional exhaustion(27.1%), depersonalization(29.6%) and diminished personal accomplishment(25.1%). Third, the analysis of additional influence of collectivistic self-esteem in addition to the influence of teacher efficacy on teacher burnout revealed additional influence in the alleviation of total burnout(18.2%), emotional exhaustion(13.9%), depersonalization(16.6%) and diminished personal accomplishment(10.3%). These results showed that teacher's collectivistic self-esteem is an important factor in the alleviation of psychological burnout with teacher efficacy which was well known as a protective factor for psychological burnout. Based upon the above results, implications of these results and limitations of this study were discussed.

• Journal of Convergence for Information Technology
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• v.8 no.2
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• pp.193-202
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• 2018

The purpose of this study was to analyse the effects of youth depression and aggression and the effects of peer alienation in the process. To that end, the hierarchical regression analysis was used for 869 male teenagers and 800 female teenagers based on the data 7th wave of Korean Youth Panel Survey. Filly, In order to verify the meadiating effect of Peer Reject, bootstrapping method was used. The first seven panels Major analysis results are as follows. First, depression directly affected school adjustment of male and female adolescents. it turns out that the more depressed the young men and women are, the more aggressive they are. Second, In terms of depression and aggression among young men, peer alienation plays a role as a medium and that it does not work in the case of female. It also demonstrated that men's peer rejection has a media-effect in both gender depression and aggression and recommended discriminatory intervention based on gender.