• Communications for Statistical Applications and Methods
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• v.10 no.1
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• pp.135-144
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• 2003

This work is concerned with comparison of the recently developed disparity measures for the partial association model in three dimensional categorical data. Data are generated by using simulation on each term in the log-linear model equation based on the partial association model, which is a proposed method in this paper. This alternative Monte Carlo methods are explored to study the behavior of disparity measures such as the power divergence statistic I(λ), the Pearson chi-square statistic X$^2$, the likelihood ratio statistic G$^2$, the blended weight chi-square statistic BWCS(λ), the blended weight Hellinger distance statistic BWHD(λ), and the negative exponential disparity statistic NED(λ) for moderate sample sizes. We find that the power divergence statistic I(2/3) and the blended weight Hellinger distance family BWHD(1/9) are the best tests with respect to size and power.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.12A
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• pp.1138-1146
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• 2008

This paper considers 2-hop wireless cooperative communications networks with fixed decode-and-forward relays. Specifically, we first derive the closed-form BER expression for theoretically evaluating the end-to-end performance of these networks. Then, based on this expression and long-tenn fading statistics, we propose a power allocation method for source and relay. Such a method brings about multiple advantages in tenn of spectral efficiency and implementation complexity over other power allocation methods based on instantaneous fading statistics. A variety of numerical results reveal that the cooperative communications scheme with the proposed power allocation significantly outperforms that with the equal power allocation and the direct transmission scheme for any position of the relay subject to the same total transmit power constraint.

• International Journal of Advanced Culture Technology
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• v.9 no.4
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• pp.102-109
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• 2021

Since the 4th Industrial Revolution is implemented based on superintelligence, new insights must be provided through convergence studies with other fields to find optimal solutions to create new ideas. In this paper, we intende to present improvement measures for probability and statistical education, which is an athlete's subject on data analysis and processing in the ICT(Information & Communication Technologies) field in the era of superintelligence of the 4th industrial revolution. This paper aims to strengthen competitiveness through early development and commercialization of new technologies by presenting probabilities and statistical curriculums that require linkage in the ICT field. Second, it is necessary to present an educational system diagram linking probabilities and statistics in the ICT field to prepare a mid- to long-term response strategy for ICT education in response to innovative changes. Third, through a survey, we intend to present an effective educational operation plan linking probability and statistics to ICT major subjects by analyzing the perception of probability, statistical importance, and utilization of majors in this field.

• Communications for Statistical Applications and Methods
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• v.30 no.2
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• pp.149-162
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• 2023

The ℓ₁-trend filtering method is one of the most widely used methods for extracting underlying trends from noisy observations. Contrary to the Hodrick-Prescott filtering, the ℓ₁-trend filtering gives piecewise linear trends. One of the advantages of the ℓ₁-trend filtering is that it can be used for identifying change points in piecewise linear trends. However, since the ℓ₁-trend filtering employs total variation as a penalty term, estimated piecewise linear trends tend to be biased. In this study, we demonstrate the biasedness of the ℓ₁-trend filtering in trend level estimation and propose a two-stage bias-reduction procedure. The newly suggested estimator is based on the estimated change points of the ℓ₁-trend filtering. Numerical examples illustrate that the proposed method yields less biased estimates for piecewise linear trends.

• Nonlinear Functional Analysis and Applications
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• v.29 no.1
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• pp.225-258
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• 2024

In this paper, we study the problem of finding a common solution to a fixed point problem involving a finite family of ρ-demimetric operators and a split monotone inclusion problem with monotone and Lipschitz continuous operator in real Hilbert spaces. Motivated by the inertial technique and the Tseng method, a new and efficient iterative method for solving the aforementioned problem is introduced and studied. Also, we establish a strong convergence result of the proposed method under standard and mild conditions.

• International Journal of Quality Innovation
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• v.4 no.1
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• pp.40-45
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• 2003

A new term Data Technology (DT) is defined, and its roles in modern technology are explained. Next, knowledge-based Six Sigma (KBSS) is proposed, and how the methodologies how it can be implemented in industry are suggested. Also the relationship between DT and KBSS Is commented.

• Honam Mathematical Journal
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• v.43 no.3
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• pp.561-570
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• 2021

In this paper, applying the bifurcation method and topological analysis, we investigate the global structures of solutions for one-dimensional Minkowski-curvature problems under certain behavior of nonlinear term near zero.

• Korean Journal of Occupational Health Nursing
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• v.24 no.4
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• pp.290-301
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• 2015

Purpose: The purpose of this study was to identify the influencing factors on turnover intention of nurses in long-term care hospitals. Methods: Data were collected from 210 nurses in 11 long-term care hospitals in B city. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and Stepwise multiple regression. Results: Turnover intention was significantly correlated with emotional labor(r=.35, p<.001) and job involvement (r=-.38, p<.001). In a multiple regression, emotional labor (${\beta}=.31$, p<.001), age (${\beta}=-.27$, p<.001), job satisfaction (${\beta}=.24$, p<.001), job involvement (${\beta}=-.23$, p<.001), and number of patients assigned(${\beta}=.14$, p=.009) were associated with turnover intention. These factors attributed to 41.2% of the total variance in turnover intention. Conclusion: Considering the results of this study, proactive educational and/or human resource management interventions need to be developed especially for those younger nurses in order to reduce emotional labor as well as to promote job satisfaction and job involvement of nurses in long-term care hospitals.

• Journal of Korean Public Health Nursing
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• v.33 no.1
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• pp.98-108
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• 2019

Purpose: The purpose of this study was to identify factors influencing care workers' patient safety behaviors (PSB), we hoped to provide baseline data for its activation. Methods: The subjects of this study were chosen by convenience sampling, which included 114 care workers at long term care facilities. Data were collected from August 22 to October 10, 2018. The gathered data were analyzed using the SPSS program, which was used to Cronbach's alpha, descriptive statistics, t-test, ANOVA, Pearson correlation coefficient and stepwise regression. Results: The care workers' average PSB was at 7.81 points, patient safety culture (PSC) 3.86 points and safety of long-term care facilities 7.07. PSB positively correlated with safety of facilities(r=.802, p<.001) and PSC(r=.558, p<.001). Work attitude and satisfaction of job were explained 35.1% of the PSB. Conclusion: Administrators of long term care facilities should be interested in patient safety culture and improving job satisfaction of care workers in order to improve patient safety behaviors.

• Journal of Home Health Care Nursing
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• v.29 no.1
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• pp.70-81
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• 2022

Purpose: This study was performed to explore the trend of nursing research in the Korean long-term care system. Methods: Articles published between 2008 and 2021 were searched using the terms "long-term care system" and "nursing." Ninety-one articles were analyzed and classified into five categories according to research methods. Data were extracted through a systematic review process and underwent descriptive statistics and content analyses. Results: The most analyzed variable in the survey studies was job satisfaction. Many variables were classified into input and output factors using Donabedian's model. The content analysis showed that most suggestions were about improving the political regulation system. Conclusion: It is necessary to establish a research foundation to provide research funding and support to cultivate future nursing research in long-term care. Systematic improvement of research in nursing should be continuously pursued to revitalize nursing services, expand nursing service interventions, and improve management competency programs in nursing institutions.