• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.26 no.4
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• pp.296-309
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• 2022

Timer options are one of the contingent claims that, for given the variance budget, its payoff depends on a random maturity in terms of the realized variance unlike the standard European vanilla option with a fixed time maturity. Since it was first launched by Société Générale Corporate and Investment Banking in 2007, the valuation of the timer options under several stochastic environment for the volatility has been conducted by many researches. In this study, we propose the pricing of timer power options combined with standard timer options and the index of the power to the underlying asset for the investors to actualize lower risks and higher returns at the same time under the uncertain markets. By using the asymptotic analysis, we obtain the first-order approximation of timer power options. Moreover, we demonstrate that our solution has been derived accurately by comparing it with the solution from the Monte-Carlo method. Finally, we analyze the impact of the stochastic volatility with regards to various parameters on the timer power options numerically.

• Proceedings of the KIEE Conference
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• 2004.11c
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• pp.367-369
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• 2004

In this paper we propose an effective and reliable hand detection method using neural network with ICA(Independent Component Analysis) Features. Many algorithms of hand detection have been proposed yet. Among them, ICA is the one of the interesting topics in image processing. ICA can not only separate mixed signals but also efficiently extract low-dimensional features in signals. ICA features are able to represent the characteristic of the images well. The object of this paper is to use effectively ICA that has above advantage. That is, by the proper number of Independent component the arithmetic speed is faster and by normalization of ICA feature the performance of detection is more reliable. For this, we adopt the algorithm, the Proportion of variance, which select the ICA feature by comparing the ratio of variance of ICA feature. By this method, we can extract the feature that is good at classifying hand and non-hand. Our experimental results show that by using ICA features, we obtained a better performance in hand detection than by only training NN on the image. And we can use hand detection system effectively and reliably by our proposal.

• Korean Journal of Occupational Health Nursing
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• v.28 no.2
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• pp.104-113
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• 2019

Purpose: This study aimed to investigate the factors affecting general hospital nurses' intention to stay in their jobs. Methods: A descriptive research design was used with a convenience sample of 286 nurses. Data were collected from March 15 to April 14, 2017using self-reported questionnaires and analyzed by descriptive statistics, t-test, analysis of variance, Pearson's correlation coefficient, and multiple regression analysis using the SPSS/WIN 21.0 program. Results: The mean scores for intention to stay, resilience, and emotional labor were 5.28 out of 8, 57.40 out of 100, and 3.23 out of 5, respectively. Intention to stay was positively correlated with overall career (r=.30), workplace (r=.18), shift work (r=-.20), position (r=.28), salary (r=.13), job satisfaction (r=.51), hospital satisfaction (r=.46), and resilience (r=.41). Factors influencing the intention to stay were job satisfaction and resilience, which explained 28% of the variance. Conclusion: Overall career, job satisfaction, and resilience are critical factors affecting general hospital nurses' intention to stay. Based on the findings of this study, efforts to improve nurses' job satisfaction and resilience should be implemented to mitigate the loss of this expert group among healthcare professionals.

• Journal of East-West Nursing Research
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• v.24 no.2
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• pp.139-145
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• 2018

Purpose: This study aimed to investigate influencing factors on life stress among nursing college students. Methods: A descriptive research design was used with a convenience sample of 392 nursing students. Data were collected from May 23 to June 3, 2016 using self-reported questionnaires and analyzed by descriptive statistics, t-test, analysis of variance, the Pearson correlation coefficient, and multiple regression analysis using the SPSS/WIN 21.0 program. Results: The mean scores of life stress, depression, self-esteem, and self-control were 1.72 out of 4, 1.58 out of 4, 3.60 out of 5, and 3.36 out of 5. Life stress was negatively correlated with self-esteem (r=-.56), self-control (r=-.30) and economic status (r=-.22) and was positively correlated with depression (r=.53). Factors influencing on life stress were economic status, depression and self-esteem, which explained 38% of the variance. Conclusion: Based on the finding of this study, it is necessary to develop education and intervention programs in order to decrease the life stress for nursing students.

• Journal of Home Health Care Nursing
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• v.31 no.2
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• pp.147-155
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• 2024

Purpose: This study aimed to investigate the relationships between self-efficacy, communication ability, and problem-solving ability in nursing students, and explore the mediating effects of communication ability on self-efficacy and problem-solving ability. Methods: This study targeted 181 third- and fourth- year nursing students. Data were collected from May 20-25, 2024, and analyzed using SPSS software (version 29.0), employing descriptive statistics, t-tests, analysis of variance, Pearson's correlation coefficients, and multiple regression analysis. Sobel test was used to determine the statistical significance of the mediating effects of communication ability. Results: Nursing students' problem-solving abilities were significantly and positively correlated with self-efficacy (r=.35, p<.001) and communication skills (r=.33, p<.001). Self-efficacy was significantly and positively correlated with communication skills (r=.56, p<.001). Communication skills had a partial mediating effect on the relationship between self-efficacy and problem-solving ability (Z=4.24, p<.001), explaining 51% of the variance. Conclusion: These results can be used to develop a curriculum and intervention programs to enhance the self-efficacy and communication skills and improve the problem-solving abilities of nursing students.

• Human Ecology Research
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• v.52 no.2
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• pp.151-164
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• 2014

This study was conducted to explore the relationships between the elderly's existential identity and psychological well-being in accordance with the elderly's age-identity so as to improve the quality of life in the elderly with prolonged lives. The data were collected from respondents who were more than 60 years in age who live in city Suncheon. The statistics used for the data analysis were reliability, frequency, percentage, mean, standard deviation, one way analysis of variance, and multiple regression. The results of this study were as follows: (1) A majority of the elderly (49.8%) acknowledged psychological age as actual age. (2) The degrees of the elderly's existential identity was 54.90, while the degree of the elderly's psychological well-being was 33.07. (3) The elderly's existential identity level was significantly affected by economic state, spouse, age-identity, monthly living expenses, household, religion, career, age, and health state. Further, the elderly's psychological well-being level was significantly affected by existential identity, economic state, spouse, health state, age-identity, monthly living expenses, household, education, career, and age. (4) The variables that affect the elderly's existential identity were age-identity, economic state, health state, religion, monthly living expenses, and career, indicating an explanatory power of 38%. Moreover the variables that affect the elderly's psychological well-being were existential identity, age-identity, economic state, health state, and monthly living expenses, explaining approximately 55% of the total variance.

• Nuclear Engineering and Technology
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• v.48 no.5
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• pp.1120-1125
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• 2016

The neutron decay constant, ${\alpha}$, and effective delayed neutron fraction, ${\beta}_{eff}$, are important parameters for the control of the dynamic behavior of nuclear reactors. For the heavy water zero power reactor (HWZPR), this document describes the measurements of the neutron decay constant by noise analysis methods, including variance to mean (VTM) ratio and endogenous pulse source (EPS) methods. The measured ${\alpha}$ is successively used to determine the experimental value of the effective delayed neutron fraction as well. According to the experimental results, ${\beta}_{eff}$ of the HWZPR reactor under study is equal to 7.84e-3. This value is finally used to validate the calculation of the effective delayed neutron fraction by the Monte Carlo methods that are discussed in the document. Using the Monte Carlo N-Particle (MCNP)-4C code, a ${\beta}_{eff}$ value of 7.58e-3 was obtained for the reactor under study. Thus, the relative difference between the ${\beta}_{eff}$ values determined experimentally and by Monte Carlo methods was estimated to be < 4%.

• Journal of Korean Public Health Nursing
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• v.33 no.3
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• pp.420-432
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• 2019

Purpose: This study examined the relationships among disaster nursing knowledge, disaster preparedness attitudes, and disaster nursing competency among nursing students by identifying the predictors of disaster nursing competency. Methods: The study participants were 306 nursing students in the nursing departments of 3 universities located in G City and J Province. The data was analyzed using descriptive statistics, t-test, analysis of variance, the Pearson correlation coefficient, and multiple regression analysis. Results: The participants' scores for disaster nursing knowledge, disaster preparedness attitudes, and disaster nursing competency were 5.41±1.68, 4.29±0.46, and 2.84±0.78, respectively. Disaster nursing knowledge, disaster preparedness attitudes, and disaster nursing competency exhibited positive correlations. The factors influencing disaster nursing competency among nursing students included disaster nursing knowledge, disaster preparedness attitudes, year level, disaster training experience, first-aid training experience, disaster area experience, medical service experience, and disaster severity awareness. These variables explained 17% of the variance in disaster nursing competency. Conclusion: Disaster nursing knowledge and disaster preparedness attitudes was positively related to disaster nursing competency. The findings of this study indicate that it is important to develop and apply education programs aimed at increasing disaster nursing knowledge and enhancing disaster preparedness attitudes among nursing students to improve nursing students' disaster nursing competency.

• Journal of Fisheries and Marine Sciences Education
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• v.21 no.3
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• pp.459-469
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• 2009

The purpose of this study was to examine the relation between career options and career barriers of fisheries and marine science college students. The subjects in this study were 1,309 students(male 628, female 681), who were analyzed with 6 career items and career barrier inventory. Data analyses were conducted using t-test, One-way Analysis of Variance, Two-way Analysis of Variance. The results of the research are as follows. First, the career barriers factors that students experienced a lot were future anxiety and lack of career informations. Accoding to sex, there was no meaningful differences on the career barriers, but accoding to grades, there was meaningful differences on the career barriers. Second, career barriers showed high level in case that students chose their majors accoding to the factors of professors, score level and others' admonition. And career barriers was higher in cases of the students who had the level of below the common satisfaction on their majors, who had a minor or temporary absence from school because their majors were unsatisfied, who took courses with their pals, who chose their jobs in terms of pay level and working region, and who had uncertainty on their apptitude and interesting.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.9
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• pp.1299-1305
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• 2013

In this paper, we investigate a method of reducing the computational cost in speech recognition by dimensionality reduction of MFCC feature vectors. Eigendecomposition of the feature vectors renders linear transformation of the vectors in such a way that puts the vector components in order of variances. The first component has the largest variance and hence serves as the most important one in relevant pattern classification. Therefore, we might consider a method of reducing the computational cost and achieving no degradation of the recognition performance at the same time by dimensionality reduction through exclusion of the least-variance components. Experimental results show that the MFCC components might be reduced by about half without significant adverse effect on the recognition error rate.