• Earthquakes and Structures
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• v.8 no.2
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• pp.443-462
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• 2015

Some model building codes stipulate that the design displacement of a building can be computed using the elastic static analysis results multiplied by the deflection amplification factor, $C_d$. This approach for estimating the design displacement is essential and appealing in structural engineering practice when nonlinear response history analysis (NRHA) is not required. Furthermore, building codes stipulate the consideration of accidental torsion effects using accidental eccentricity, whether the buildings are symmetric-plan, or asymmetric-plan. In some model building codes, the accidental eccentricity is further amplified by the torsional amplification factor $A_x$ in order to minimize the discrepancy between statically and dynamically estimated responses. Therefore, this warrants exploration of the reliability of statically estimated design displacements in accordance with the building code requirements. This study uses the discrepancy curves as a way of assessing the reliability of the design displacement estimates resulting from the factors $C_d$ and $A_x$. The discrepancy curves show the exceedance probabilities of the differences between the statically estimated design displacements and NRHA results. The discrepancy curves of 3-story, 9-story, and 20-story example buildings are investigated in this study. The example buildings are steel special moment frames with frequency ratios equal to 0.7, 1.0, 1.3, and 1.6, as well as existing eccentricity ratios ranging from 0% to 30%.

• Journal of Korean Academy of Nursing
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• v.31 no.3
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• pp.369-379
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• 2001

Purpose: The purpose of this study was to develop the Nurse Presence Scale and to test the reliability and validity of the instrument. Method: The subjects verifying the scale's reliability and validity were adult patients being treated in three artificial kidney unit in Pusan and Taegu from August 1 to October 15, 2000. The data was analyzed by the SPSS/WIN 8.0 program. Result: A factor analysis and was conducted items that had a factor loading more than .40, and an eigen value more than 1.0 were seleclted. The factor analysis classified a total of seven factors statistically, but the seventh factor was excluded because community was less than 4%. Therefore, there were six factors, and its communality was 62%. The explanation of domain and factors based on the conceptual framework and item content are as follows: The first factor was 'interaction' in emotional areas, the second domain was 'empathy' in cognitive areas, the third was 'attention' in emotional areas, the fourth was 'openness' in emotional areas, the fifth was 'sensitivity' in behavioral areas, and the sixth was 'physical assist' in behavioral areas. Cronbach's α coefficient to test reliability of the scale was .9766 for a total 49 items. Conclusion: The Scale for Nurse Presence developed in the study was identified as a tool with a high degree of reliability and validity. Therefore, this scale can be effectively utilized for the evaluation of nurse presence in clinical settings.

• Child Health Nursing Research
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• v.26 no.3
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• pp.338-347
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• 2020

Purpose: The Life Transition Scale (LTS) consists of 24 items that assess the life transition process of parents of autistic children. This study aimed to examine the validity and reliability of the LTS in parents of children with a wide spectrum of disabilities. Methods: Data were collected from 260 parents of children with disabilities through self-report questionnaires. Validity was examined using exploratory and confirmative factor analysis to determine the factor structures of the LTS; socio-demographic differences in LTS scores were examined using the t-test or ANOVA. Reliability was examined using Cronbach's α coefficient. Results: A four-factor structure was validated (χ²=640.0, p<.001, GFI=.81, RMSEA=.07, NNFI=.89, CFI=.89, PNFI=.74, Q [χ²/df]=2.60). The validity of the LTS was verified by exploratory factor analysis, with factor loading ranging from .30 to .80. There were significant differences in the accepting phase according to children's and parents' age and the type of disability, and in the wandering phase according to parental gender, educational level, job, and socioeconomic status. The Cronbach's αs for the reliability of each of the four structures were acceptable, within a range of .80~.90. Conclusion: The LTS is a valid and reliable measurement to assess the life transition process of parents with disabled children.

• Journal of Korean Academy of Nursing
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• v.54 no.3
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• pp.340-357
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• 2024

Purpose: This study aimed to develop a Hybrid Clinical Practicum Environment Scale for Nursing Students (HCPES-NS) and verify its validity and reliability. Methods: The HCPES-NS was constructed following the DeVellis guidelines. The initial items were written based on a literature review and individual in-depth interviews. Content validity was verified through an expert panel review. To confirm the validity and reliability of the scale, a survey was conducted with 449 nursing students enrolled in 12 nursing colleges. Data were analyzed using item analysis, exploratory factor analysis, confirmatory factor analysis, concurrent validity, and reliability tests. Results: Factor analysis showed that the HCPES-NS consists of 15 items on five subdomains: clinical site atmosphere, interpersonal relationship, alternative online practicum contents, provision of learning information, and clinical performance facilitation. A higher score indicated a more positive perception of the clinical practicum environment. The concurrent validity of the HCPES-NS was confirmed by its positive correlation with the Clinical Learning Environment Scale (r = .77). The Cronbach's α reliability of the HCPES-NS was .84. Conclusion: The HCPES-NS is both valid and reliable. This scale reflects the clinical practicum environment and includes an online practicum factor. It may be used effectively by faculty members and educators to evaluate nursing students' perceptions of clinical practicum environments.

• Proceedings of the Korean Geotechical Society Conference
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• 2010.03a
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• pp.427-434
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• 2010

Load Resistance Factor Design method is used increasingly in geotechnical design world widely and resistance factors for drilled shafts are suggested by AASHTO. However, these resistance factors are determined for intact rock conditions, by comparison most of bedrocks in Korea are weathered condition, so that applying the AASHTO resistance factors is not reasonable. Thus, this study suggests the proper resistance factors for design of drilled shaft in Korea. The 22 cases of pile load test data from 8 sites were chosen and reliability-based approach is used to analyze the data. Reliability analysis was performed by First Order Second Moment Method (FOSM) applying 4 bearing capacity equations. As a result, when the Factor of Safety(FOS) were selected as 3.0, the target reliability index($\beta_c$) were evaluated about 2.01~2.30. Resistance factors and load factors are determined from optimization based on above results. The resistance factors ranged between 0.48 and 0.56 and load factor for dead load and live load are evaluated approximately 1.25 and 1.75 respectively. However, when the target reliability are considered as 3.0, the resistance factors are evaluated as approximately 50% of results when the target reliability index were 2.0.

• Journal of Korean Academy of Nursing Administration
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• v.21 no.5
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• pp.542-551
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• 2015

Purpose: This study was done to evaluate validity and reliability of the Korean version of the expanded nursing stress scale (ENSS). Methods: Forward-backward translation of ENSS from English to Korean was conducted. The translated instrument was pilot-tested and administrated to 285 nurses who worked in five general hospitals in Korea. Internal consistency reliability was assessed using Cronbach's ${\alpha}$ and composite reliability. Validity was evaluated through construct validity with confirmatory factor analysis, convergent and discriminant validity. Results: The Korean version of ENSS showed a reliable internal consistency with Cronbach's ${\alpha}$ .95 and composite reliability .99. Model fit indexes for 46 items were validated by confirmatory factor analysis(goodness of fit index .82, Tucker-Lewis index .92, root mean square error of approximation .04), indicating suitable construct validity. Factor loading of the 48 items (.47~.88) and average variance extracted out of nine factors (.52~.71.) indicated satisfactory convergent validity. Some values of square of the correlation coefficient between factors (.12~.89) were higher than average variance extracted values of each factor (.52~.71) so that it partly satisfied discriminant validity. Conclusion: Findings show that the Korean version ENSS has good reliability and suitable validity; therefore, can be used to assess and identify Korean nurses' job stress.

• International Journal of Reliability and Applications
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• v.9 no.1
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• pp.79-93
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• 2008

The aim of this work is to generalize reliability equivalence techniques to apply them to a system consists of two independent and non-identical components connected in series(parallel) system, that have constant failure rates. We shall improve the system by using one component only. We start by establishing two different types of reliability equivalence factors, the survival reliability equivalence (SRE) and mean reliability equivalence (MRE) factors. Our second studies, introducing some applications for our studies in airports and our life. Also, we introduced some numerical results.

• Journal of Korean Society of Water and Wastewater
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• v.26 no.2
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• pp.249-256
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• 2012

The paper describes a design methodology that can select a proper reliability factor and apply the selected reliability factor into the real water distribution system. Reliability factors which are used for the assesment of water supply networks, can be categorized by a connectivity, a reachability, an expected shortage and an availability. Among these factors, an expected shortage is the most proper reliability factor in the aspect of economic evaluation. Therefore, the expected shortage is applied to draw a water supply reliability into Changwon water supply systems. And the economic pipe diameter can be determined as 600mm for a connection pipe in the pipe network from the estimation of the expected shortage. Also, a quantitative effect of the connection pipe can be expressed in terms of the reduction, which is estimated by the expected shortage of 30,269$m^{3}$ from 68,705$m^{3}$ at initial condition to 38,436$m^{3}$ under the connected condition with the diameter 600mm pipe.

• Journal of Ocean Engineering and Technology
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• v.30 no.4
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• pp.260-267
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• 2016

Considering the effect of dynamic response amplification, a reliability analysis of an offshore wind turbine support structure under an earthquake is presented. A reliability analysis based on the dynamic response requires a large amount of time when using not only a level 3 approach but also level 2 such as a first order reliability method (FORM). Moreover, if a limit state is defined by using the maximum stress at a structural joint where stress concentration occurs, a three-dimensional element should be used in the finite element analysis. This makes the computational load much heavier. To deal with this kind of problem, two techniques are suggested in this paper. One is the application of a quasi-static structural analysis that takes the dynamic amplification effect into account. The other is the use of a stress concentration factor to estimate the maximum local stress. The proposed reliability analysis is performed using a level 2 FORM and verified using a level 3 simulation approach.

• Geomechanics and Engineering
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• v.29 no.5
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• pp.487-496
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• 2022

Most of the pile's vertical static load tests in construction sites are the proof load tests, which is difficult to accurately estimate the ultimate bearing capacity and analyze the reliability of piles. Therefore, a reliability analysis method based on the proof load-settlement (Q-s) data is proposed in this study. In this proposed method, a simple ultimate limit state function based on the hyperbolic model is established, where the random variables of reliability analysis include the model factor of the ultimate bearing capacity and the fitting parameters of the hyperbolic model. The model factor M = R_uR / R_uP is calculated based on the available destructive Q-s data, where the real value of the ultimate bearing capacity (R_uR) is obtained by the complete destructive Q-s data; the predicted value of the ultimate bearing capacity (R_uP) is obtained by the proof Q-s data, a part of the available destructive Q-s data, that before the predetermined load determined by the pile test report. The results demonstrate that the proposed method can easy and effectively perform the reliability analysis based on the proof Q-s data.