• 여성건강간호학회지
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• 제15권2호
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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.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2007년도 추계학술대회 논문집
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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.

• 한국농공학회논문집
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• 제50권6호
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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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• 제54권3호
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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.

• 한국음향학회지
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• 제26권4호
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• pp.153-158
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• 2007

본 논문에서는 비정상적인 잡음 환경에서 음성향상을 위한 새로운 잡음 추정 기법을 제시한다. 제안된 방법은 잡음 전력 추정을 위해 주파수 채널별 음성부재확률 (SAP, Speech Absence Probability)을 선택적 가중 파라미터로 적용하여 음성 구간에서는 기존의 Minimum Statistics (MS)에 의한 잡음전력 추정치에 비중을 두고 비음성 구간에서는 Soft Decision (SD)에 기반한 잡음전력 추정치를 선택하도록 기존의 알고리즘을 결합한다. 제안된 알고리즘의 성능은 다양한 잡음 환경에서 음성향상기법에 적용하여 주관적인 음질평가 결과에 의해 평가하여 기존의 MS 또는 SD에 기반한 방법보다 향상된 결과를 나타내었다.

• 기본간호학회지
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• 제23권3호
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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.

• 대한간호학회지
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• 제31권2호
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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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• 제48권1호
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• pp.51-56
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• 2011

본 연구에서는 흉부 CR 영상에 대하여 다양한 디지털 영상처리 기법을 가하여 영상의 질을 개선시키고 화질 평가를 수행하였다. 또한 흉부 CR 영상의 선예도를 개선하기 위해서 고주파 강조 필터링과 히스토그램 평활화를 MATLAB으로 구현하여 시뮬레이션 한 결과 고주파 강조 필터링과 히스토그램 평활화를 통해서 원영상의 대조도가 개선되었다. 디지털영상처리에 의해 화질의 개선된 정도를 평가하기 위해서 영상의 관찰에 의한 주관적 평가기법을 이용하였다. 신호 또는 병소가 있는 영상에서 신호 또는 병소를 발견할 확률로 감도를 계산하였다. 고주파 강조 필터링과 히스토그램 평활화가 수행된 영상의 감도는 원영상보다 개선되었고, 의료영상에서 수행된 디지털 영상처리는 영상의 질을 향상시켰다.

• 한국과학교육학회지
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• 제25권7호
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• pp.787-793
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• 2005

이 연구의 목적은 초등학생의 인지수준에 따른 확률적 사고의 형성 정도와 TS 프로그램의 확률 활동이 확률적 사고의 형성에 미치는 효과를 알아보는 것이었다. 이를 위하여 초등학교 6학년 152명을 실험집단과 통제집단으로 나누어, 실험집단에는 TS 프로그램의 확률 활동을 투입하였고, 통제집단에는 정규 교육과정을 운영하였다. 투입 전에 SRT II와 확률적 사고 검사를 실시하여 학생들의 인지수준에 따른 확률적 사고의 형성 정도를 조사하였고, 투입 후에 확률적사고 검사를 실시하여 처치의 효과를 알아보았다. 연구 결과에 의하면, 확률 문제 해결에서 구체적 조작기와 과도기 학생들은 주관적 전략과 양적 전략을 혼용하여 사용하였으며, 전기 형식적 조작기 학생들은 양적 전략을 많이 사용하여 인지수준이 높을수록 보다 높은 수준의 확률적 사고를 하고 있었다. TS 프로그램의 확률 활동은 학생들의 확률적 사고 형성에 효과적이었다. 확률적 사고의 형성을 인지수준에 따라 분석한 결과, 전기 구체적 조작기와 과도기 학생들에게 효과적이었음을 알 수 있었다.

• 한국심리학회지 : 문화 및 사회문제
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• 제28권4호
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• pp.691-715
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• 2022

본 연구에서는 인스타그램 부계정 사용과 지각된 온라인 사회적 지지, 자기감시성, 그리고 주관적 안녕감의 관계를 살펴보았다. 더 나아가, 자기감시성과 지각된 온라인 사회적 지지의 관계를 인스타그램 계정 수가 매개하는지 알아보았다. 이를 위하여 20대 성인을 대상으로 온라인 조사 연구를 수행하였으며, 총 396명의 자료를 수집하였다. 분석 결과, 인스타그램 계정 수는 지각된 온라인 사회적 지지 및 자기감시성과 정적 상관을 보였으나, 주관적 안녕감과는 유의한 상관을 보이지 않았다. 다음으로, 자기감시성이 인스타그램 부계정 사용에 미치는 영향을 분석한 결과, 자기감시성이 높을수록 부계정을 사용할 확률이 높음을 알 수 있었다. 또한, 인스타그램 계정 수는 자기감시성과 지각된 온라인 사회적 지지의 관계를 부분 매개하는 것으로 나타났다. 즉, 자기감시성이 높을수록 인스타그램 계정이 많았으며, 많은 인스타그램 계정은 지각된 온라인 사회적 지지의 수준을 증가시키는 것으로 나타났다. 본 연구는 국내에서 최초로 인스타그램 부계정 사용과 지각된 온라인 사회적 지지, 자기감시성 및 주관적 안녕감의 관계를 확인하였으며, 자기감시성이 인스타그램 계정 수를 매개로 하여 지각된 온라인 사회적 지지로 이어지는지 탐색하였다는 데 의의가 있다. 또한, 온라인 상호 작용이 현실 세계와 어떻게 연결되는지 조명했다는 점에서 사회적 의의도 지닌다.