• Women's Health Nursing
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• v.15 no.2
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• pp.108-120
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• 2009

Purpose: This study aimed to explore the subjective sleep quality of depressed and non-depressed mothers in the late postpartum period and to determine the relationship with their health promoting behaviors, family functioning, parenting stress. Method: A non-probability sample of 128 mothers completed a self-administered questionnaires at 4-6weeks postpartum. The Edinburgh postnatal Depression Scale (EPDS) and Pittsburgh Sleep Quality Index were used to measure mother's experiences of depression symptoms and sleep. Related factors of sleep quality were measured by the Korean Family Functioning Scale, Health Promoting Lifestyle Profile, and Parenting Stress Index. The data was analysed using t-test, one-way ANOVA, and the Pearson's correlation coefficients. Result: The results indicated that the depressed mothers (EPDS$\geq$ 10) had poorer sleep quality than the non-depressed mothers(EPDS < 10), reported shortened sleep duration, and experienced more daytime dysfunctions. Depressed mothers who had no job, did not drink coffee, and were primipara tended to report poorer sleep quality. There were significant correlation between poorer sleep quality and lower health promoting behaviors, higher family intimacy and lower family communication, and higher parenting stress among depressed mothers. Conclusion: Our findings support the view that depressed mothers' experiences of poor sleep are much higher than non-depressed mothers and multi-faced. Nurse professionals should screen for sleep problems in the depressed mothers with a different biopsychosocial and behavioral aspect from the non-depressed mothers in the late postpartum period.

• Proceedings of the KSR Conference
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• 2007.11a
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• pp.1529-1532
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• 2007

Failure Mode, Effects, and Criticality Analysis (FMECA) is an extension of FMEA which includes a criticality analysis. The criticality analysis is used to chart the probability of failure modes against the severity of their consequences. The result highlights failure modes with relatively high probability and severity of consequences, allowing remedial effort to be directed where it will produce the greatest value. However, there are several limitations. Measuring severity of failure consequences is subjective and linguistic. Since The result of FMECA only gives qualitative and quantitative informations, it should be re-analysed to prioritize critical units. Fuzzy set theory has been introduced by Lotfi A. Zadeh (1965). It has extended the classical set theory dramatically. Based on fuzzy set theory, fuzzy logic has been developed employing human reasoning process. IF-THEN fuzzy rule based assessment approach can model the expert's decision logic appropriately. Fault tree analysis (FTA) is one of most common fault modeling techniques. It is widely used in many fields practically. In this paper, a simple fault tree analysis is proposed to measure the severity of components. Fuzzy rule based assessment method interprets linguistic variables for determination of critical unit priorities. An rail-way transforming system is analysed to describe the proposed method.

• Journal of The Korean Society of Agricultural Engineers
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• v.50 no.6
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• pp.27-35
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• 2008

This study aims to estimate the optimal probability distribution of daily electricity generation by wind power, in order to contribute in rural green-village planning. Wind power generation is now being recognized as one of the most popular sources for renewable resources over the country. Although it is also being adapted to rural area for may reasons, it is important to estimate the magnitudes of power outputs with reliable statistical methodologies while applying historical daily wind data, for correct feasibility analysis. In this study, one of the well-known statistical methodology is employed to define the appropriate statistical distributions for monthly power outputs for specific rural areas. The results imply that the assumption of normal distributions for many cases may lead to incorrect decision-making and therefore lead to the unreliable feasibility analysis. Subjective methodology for testing goodness of fit for normal distributions on all the cases in this study, provides possibilities to consider the other various types of statistical distributions for more precise feasibility analysis.

• Nuclear Engineering and Technology
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• v.54 no.3
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• pp.948-958
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• 2022

Since reliability and security of man-machine system increasingly depend on reliability of human, human reliability analysis (HRA) has attracted a lot of attention in many fields especially in nuclear engineering. Dependence assessment among human tasks is a important part in HRA which contributes to an appropriate evaluation result. Most of methods in HRA are based on experts' opinions which are subjective and uncertain. Also, the dependence influencing factors are usually considered to be constant, which is unrealistic. In this paper, a new model based on Dempster-Shafer evidence theory (DSET) and fuzzy number is proposed to handle the dependence between two tasks in HRA under uncertain and dynamic situations. First, the dependence influencing factors are identified and the judgments on the factors are represented as basic belief assignments (BBAs). Second, the BBAs of the factors that varying with time are reconstructed based on the correction BBA derived from time value. Then, BBAs of all factors are combined to gain the fused BBA. Finally, conditional human error probability (CHEP) is derived based on the fused BBA. The proposed method can deal with uncertainties in the judgments and dynamics of the dependence influencing factors. A case study is illustrated to show the effectiveness and the flexibility of the proposed method.

• The Journal of the Acoustical Society of Korea
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• v.26 no.4
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• pp.153-158
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• 2007

This paper presents a new approach to noise estimation to improve speech enhancement in non-stationary noisy environments. The proposed method combines the two separate noise power estimates provided by the minimum statistics (MS) for speech presence and soft decision (SD) for speech absence in accordance with SAP (Speech Absence Probability) on a separate frequency bin. The performance of the proposed algorithm is evaluated by the subjective test under various noise environments and yields better results compared with the conventional MS or SD-based schemes.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.23 no.3
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• pp.245-255
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• 2016

Purpose: This study was conducted to compare self-care behaviors and self-care behavior related factors for groups of patients with good, inadequate and poor glycemic control. The study was based on variables of the Theory of Planned Behavior by Ajzen, habit and family support. (1991). Methods: Participants were 134 patients with type 2 diabetes (good glycemic control group: 57, inadequate glycemic control group: 40, poor glycemic control group: 37). Self-care behaviors, intention to self-care behavior and self-care behavior related variables (attitude, subjective norms, perceived behavior control, habits and family support) were measured. Data were collected from August 12 to September 25, 2014 and were analyzed using $x^2$-test, Fisher's exact test, ANCOVA, and logistic regression with SPSS/WIN 21.0. Results: Among the three glycemic groups, there were significant differences in self-care behavior, subjective norms, perceived behavior control, family support, and habits. Multinomial logistic regression showed that poor blood glucose probability was associated with duration of diabetes mellitus, method of DM therapy, perceived behavior control and habits. Conclusion: The study findings reveal the important role of self-care behavior, subjective norms, perceived behavior control, family support, and habits in blood glucose control in adults with type 2 diabetes.

• Journal of Korean Academy of Nursing
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• v.31 no.2
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• pp.292-303
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• 2001

The purpose of the study was to find out the level of knowledge, attitude, subjective norm, social interaction, and behavioral intention of nursing students regarding AIDS. It also identified factors that predict behavioral intentions and to provide care for patients with AIDS using Theory of Reasoned Action. The subjects consisted of 117 nursing students at three universities. Data was collected with self reporting in a questionnaire of with 67 items. Data was analyzed by an SPSS pc+ program. The results were as follows; 1. The mean age of the subjects was 20.98 years. The mean score for HIV/AIDS knowledge was 24.444 out of 32. Mostly Korean students were quite knowledgeable about the basic facts and symptoms of AIDS but confused about the made of transmission such as public toilets, prevention methods, and especially infection control. 2. This study found that social interaction, attitudes and subjective norms of Korean nursing students explained the intention to care for AIDS patients. The students who had a more positive attitude toward caring for AIDS patients and those who perceived more support from their significant others for caring the AIDS patients reported a more positive intention to care for AIDS patients. 3. In stepwise multiple regression analysis, 47.58% of the variance in AIDS patient care intention was accounted for by social interaction (33.41%), attitude (9.1%), and subjective norm (5.0 %). According to the finding of this study, and social interaction are the most significant predictors of intentions. Therefore it can be suggested that a HIV/AIDS prevention program should focus on transmission modes and prevention methods, especially in infection control. AIDS education efforts aimed at nursing students should place greater emphasis on correcting these kinds of misconceptions. Nursing intenvention for reducing fear of contagion, improving perception of social interaction, fostering positive attitudes and increasing intention to care for AIDS patients should be provided for nursing students. They also recommended that nursing students be adequately prepared to care for AIDS patients because of the increasing probability that they will encounter AIDS patients. Therefore it is important that education about HIV/AIDS should be incorporated within current undergraduate curriculum.

• 전자공학회논문지 IE
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• v.48 no.1
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• pp.51-56
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• 2011

In this paper, a variety of digital image processing technique was applied to improve the quality of medical images which is a chest CR image. And the image quality was performed. On the other hand, the high-frequency emphasis filtering and the histogram equalization were realized by MATLAB programs to better the contrast of the chest CR image. As a result of simulation, the sharpness of the original image was elevated by the high-frequency emphasis filtering and the histogram equalization. To evaluate the degree which is improved the image quality by the digital image processing, the subjective evaluation is used by the observation of the image. The sensitivity which is the probability to find a signal or a lesion is calculated. The sensitivity of the image performed the high-frequency emphasis filtering and the histogram equalization became more improved than that of the original and the digital image processing performed in the medical image improved the quality of the image.

• Journal of The Korean Association For Science Education
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• v.25 no.7
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• pp.787-793
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• 2005

The purposes of this study were to investigate the development of probabilistic thinking in relation to the cognitive level of elementary school students and to analyze the effects of probability activities in Thinking Science(TS) program on the development of probabilistic thinking. 152 6th grade elementary school students compiled the sample group which was divided into an experimental group and a control group. Probability activities in TS program were used with the experimental group, while the normal curriculum was conducted with the control group. Both the experimental and control group were assessed with Science Reasoning Task II and a probabilistic thinking test before execution of this investigation and were post-tested with probabilistic thinking test after the project period was complete. Results of this study showed that the students in the concrete operational stage and transitional stage used subjective strategy together with quantitative strategy in probability problem-solving, and students in the early formal operational stage used quantitative strategy in probability problem-solving. It was also found that the higher the cognitive level of students, the higher the probabilistic thinking level. The probability activities of the TS program influenced the development of probabilistic thinking of elementary school students. Assessing the development of probabilistic thinking on the basis of the cognitive level found that the level of effectiveness was significantly higher for students in the early concrete operational stage and transitional stage than students in any other stage.

• Korean Journal of Culture and Social Issue
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• v.28 no.4
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• pp.691-715
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• 2022

In this study, we investigated the relationship between Finsta use and perceived online social support, self-monitoring, and subjective well-being. Furthermore, we investigated whether the number of Instagram accounts mediates the relationship between self-monitoring and perceived online social support. For this reason, To this end, we conducted an online survey of 396 adults in their 20s. Results indicated that the number of Instagram accounts showed a positive correlation with perceived online social support and self-monitoring, but did not show a significant correlation with subjective well-being. Next, it was found that the higher the level of self-monitoring, the higher the probability of using of Finsta. In addition, the number of Instagram accounts was found to partially mediate the relationship between self-monitoring and perceived online social support. In other words, the higher the self-monitoring was associated with, , the more Instagram accounts were, and many Instagram accounts increased the level of perceived online social support. For the first time in Korea, this study confirmed the relationship between Finsta use and perceived online social support, self-monitoring, and subjective well-being., Also, this study was meaningful because itand explored whether self-monitoring leads to perceived online social support through the number of Instagram accounts. In addition, this studyit has social meaning in that it sheds light on how online interactions are connected to the real world.