• Journal of Korean Academy of Nursing
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• v.48 no.4
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• pp.465-474
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• 2018

Purpose: This study aimed to determine the effect of hand massage in patients who underwent transradial percutaneous coronary intervention. Methods: This was a quasi-experimental study with a nonequivalent control group and non-synchronized design. The study included 30 patients in the experimental group and 30 in the control group. Hand massage was performed 2 times for 5 minutes each in the experimental group and the control group only received usual nursing interventions. Pain, level of discomfort, and vital signs were defined as key outcome measures, and the data were analyzed using the chi-square test, an independent t-test, Mann-Whitney U test, repeated-measures analysis of variance, and Friedman test. Results: Significant differences were observed between the 2 groups in the pain score (F=7.91, p=.003), discomfort score (F=18.15, p<.001), pulse (F=12.92, p<.001), and respiration rate (${\times}^2=19.35$, p<.001). Conclusion: Hand massage can be a helpful nursing intervention for transradial percutaneous coronary intervention by reducing pain and discomfort to a considerable degree.

• Journal of Biomedical Engineering Research
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• v.25 no.3
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• pp.217-225
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• 2004

In this paper, a new automatic classification method for the normal EEC and schizophrenia EEC using hidden Markov model(HMM) is proposed. We used the feature parameters which are the variance for statistical stationary interval of the EEC and power spectrum ratio of the alpha, beta, and theta wave. The results were shown that high classification accuracy of 90.9％ in the case of normal person, and 90.5％ in the case of schizophrenia patient. It seems that proposed classification system is more efficient than the system using complicate signal processing process. Hence, the proposed method can be used at analysis and classification for complicated biosignal such as EEC and is expected to give considerable assistance to clinical diagnosis.

• Child Health Nursing Research
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• v.26 no.2
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• pp.296-308
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• 2020

Purpose: The purpose of this study was to identify the noise level and frequency experienced by premature infants receiving incubator care in the neonatal intensive care unit (NICU). Methods: The participants were 20 premature infants receiving incubator care in the NICU of a university hospital in Daejeon Metropolitan city. The noise level was measured using a professional sound-level meter (ET-958, FLUS, Shenzhen, China) based on a noise classification table developed by the author. The data were analyzed with descriptive statistics, the t-test, analysis of variance, and Pearson correlation coefficients using SPSS for Windows version 22.0. Results: The average noise level experienced by premature infants receiving incubator care in the NICU was 51.25 dB (range: 45.0~81.7 dB). The frequency of noises was highest for factors related to nursing activities (40.3%), followed by human factors (29.1%), machine alarm sounds (20.1%), incubator operation (6.6%), and internal environmental factors (3.9%). Conclusion: According to the above results, the noise level experienced by premature infants receiving incubator care in the NICU exceeded the recommendations of the American Academy of Pediatrics. Therefore, it is necessary to develop an interventional program to reduce noise in the NICU, and to conduct follow-up studies to verify its effectiveness.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.11
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• pp.2737-2753
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• 2013

In this study, we propose a novel salient object detection strategy based on regional contrast and relative spatial compactness. Our algorithm consists of four basic steps. First, we learn color names offline using the probabilistic latent semantic analysis (PLSA) model to find the mapping between basic color names and pixel values. The color names can be used for image segmentation and region description. Second, image pixels are assigned to special color names according to their values, forming different color clusters. The saliency measure for every cluster is evaluated by its spatial compactness relative to other clusters rather than by the intra variance of the cluster alone. Third, every cluster is divided into local regions that are described with color name descriptors. The regional contrast is evaluated by computing the color distance between different regions in the entire image. Last, the final saliency map is constructed by incorporating the color cluster's spatial compactness measure and the corresponding regional contrast. Experiments show that our algorithm outperforms several existing salient object detection methods with higher precision and better recall rates when evaluated using public datasets.

• Journal of Korea Society of Industrial Information Systems
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• v.10 no.4
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• pp.120-127
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• 2005

Quality system management adapted by small and medium enterprises in Kangwon province to enhance the competitiveness was studied. Variance analysis on several questionnaire answers was performed. Motives for acquiring the accreditation, such as product export, adjustment to international trend, enhancement of brand/product recognition, CEO's mind change, and management innovation, have been changed significantly among business types. Mind changes after the accreditations were setting company's first priority on quality, enhanced recognition on compliance of in-house standards and regulations, employee's performance with the recognition of quality. Amongst service problems to maintain the accreditations were difficulties in maintaining the recognition of the company's quality management, labor increase to maintain the ISO 9000 enforcement team, and financial burden to keep the accreditation. Quality recognition after the accreditations was significantly improved in setting company's first priority on quality, enhanced recognition on compliance of in-house standards and regulations, employee's performance with the recognition of quality.

• Computational Structural Engineering
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• v.5 no.3
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• pp.113-118
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• 1992

The live loads acting on structures are generally computed in terms of equivalent uniformly distributed loads for the simplicity in design process. The loads, therefore, tend to decrease with increasing influence area in both load intensity and variance. Since multi-story column loads result from accumulation of loadings action on several different floors, its influence area becomes wider and lifetime maximum decreases. In the design codes proposing the design loads according to types of structural members(i.e., slabs, beams, columns), rather than the change of influence area, some proper reduction factors are given for columns which support more than one floor. Using the live load models developed for columns supporting single floor, in this study, the probabilistic characteristics of multi-story column loads are analyzed. In addition reduction factors given for multistory columns in current practice are calibrated.

• Journal of Korean Public Health Nursing
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• v.28 no.3
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• pp.509-521
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• 2014

Purpose: This study was conducted in order to define factors influencing learned helplessness in undergraduates. Independent variables including external entrapment, internal entrapment, social support, trait anger, state anger, and anger expression were used to predict learned helplessness. Methods: Data were analyzed using the SPSS/WIN 20.0 program for descriptive statistics, Pearson correlation coefficients and stepwise multiple regression. A total of 241 undergraduates recruited from September to November 2012 were included in the study. Results: Four factors of learned helplessness were founded to show significant correlation with external entrapment, internal entrapment, social support, trait anger, state anger and anger expression. Stepwise multiple regression analysis showed that 64% of the variance in learned helplessness was significantly accounted for by internal entrapment, social support and anger expression. Conclusion: This study showed that perceived entrapment and social support are important predictors of learned helplessness. Therefore, in order to reduce learned helplessness in undergraduates, it is necessary to design an intervention program with strategies to help in coping with and reducing perceived entrapments.

• Korean Journal of Human Ecology
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• v.14 no.1
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• pp.27-34
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• 2005

The purpose of this study is to investigate the relationship between emotional competence and social anxiety among Korean children and adolescents. The subjects of this study were 385 children between fifth and sixth grade ages and 579 middle school students. Their emotional competence was assessed by 'Korean Emotional Competence scale (Kim et al., 2004),' and also their social adjustment was assessed by 'Social Anxiety Scale (Moon & Oh, 2002).' The data were analyzed by ANOVA, the Pearson's correlation, and regression, using SPSS. The results of this study are as follows: (1) Children's and adolescents' emotional competence and social anxiety were relatively high. (2) Their emotional competence had a meaningful difference according to SES, gender, and birth order. (3) Their social anxiety had a meaningful difference according to SES, gender, and birth order. (4) There was a significant relationship between their emotional competence and social anxiety. (5) A regression analysis result of children's and adolescents' social anxiety showed that approximately 11.3% variance could be explained by four emotional competence variables: 'self-expressiveness and assertion,' 'awareness and understanding of emotion,' 'positive acceptance,' and 'collective consciousness.'

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.2
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• pp.242-246
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• 2010

In this paper, we propose a quality assessment method of biometrics for estimating an authentication result in an user authentication system. The proposed quality assessment method is designed to compute a quality score called CIMR (Confidence Interval Matching Ratio) as a result by small-sample analysis like T-test. We use the C/MR-based quality assessment method for testing how to well draw a distinction between various biometrics in a multimodal biometric system. We also test a predictability for authentication results of obtained biometrics using the mean $\bar{X}$ and the variance $s^2$ in T-test-based CIMR. As a result, we achieved the maximum 88% accuracy for estimation of user authentication results.

• Journal of Korean Academy of Nursing Administration
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• v.21 no.1
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• pp.88-98
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• 2015

Purpose: To evaluate the relationship between organizational socialization and intention to leave, and to identify factors affecting on intention to leave in operating room nurses. Methods: This study used a descriptive design. Seventy operating room nurses recruited from three hospitals under the same management style, in-service educational system, and working conditions agreed to participate in this study, and completed self-administered questionnaires of the organizational socialization and the intention to leave questionnaire. Respondents were classified by career as advanced beginner, competent practitioner, proficient practitioner and expert practitioner by Benner's stages of nursing proficiency. Data were analyzed with t-test, ANOVA with multiple comparisons, Spearman correlation, and multiple regression analysis. Results: Nurses unsatisfied with the current in-service continuous education had lower organizational socialization and higher intention to leave. In advanced beginners, job performance was lowest and organizational commitment was highest. In expert practitioners, intention to leave was highest. Organizational commitment, interpersonal relationship, identity and burnout were associated with intention to leave. Mutual trust, burnout, and interpersonal relationship were predictors of intention to leave explained 20.8% of variance. Conclusion: The career ladder program to enhance nurses' organizational socialization and intention to stay should be established and expanded for well-experienced operating room nurses.