• KSCE Journal of Civil and Environmental Engineering Research
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• v.12 no.2
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• pp.217-227
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• 1992

The first and second-order reliability method(FORM and SORM) is presented using one dimensional finite difference and two dimensional finite element transport models. FORM and SORM can be used without any restrictive assumptions about the properties of the media, and the sensitivity information obtained as part of these analyses is used to identify the parameters which have major influence on the estimate of probability. The reliability analysis of transport in a one-dimensional domain is used to test the robustness of the reliability code and to evaluate the accuracy of the reliability method. A continuous source 2-D example with a concentration threshold limit state function is used to evaluate the influence of the parameters in the location of interest on the reliability solution.

• Korean Journal of Materials Research
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• v.21 no.12
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• pp.650-654
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• 2011

In this paper, the effects of conventional and newly developed elastomer modified underfill materials on the mechanical shock reliability of BGA board assembly were studied for application in mobile electronics. The mechanical shock reliability was evaluated through a three point dynamic bending test proposed by Motorola. The thermal properties of the underfills were measured by a DSC machine. Through the DSC results, the curing condition of the underfills was selected. Two types of underfills showed similar curing behavior. During the dynamic bending reliability test, the strain of the PCB was step increased from 0.2% to 1.5% until the failure circuit was detected at a 50 kHz sampling rate. The dynamic bending reliability of BGA board assembly using elastomer modified underfill was found to be superior to that of conventional underfill. From mechanical and microstructure analyses, the disturbance of crack propagation by the presence of submicron elastomer particles was considered to be mainly responsible for that result rather than the shear strength or elastic modulus of underfill joint.

• Journal of Korean Academy of Nursing
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• v.50 no.3
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• pp.487-500
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• 2020

Purpose: This study aimed to evaluate the validity and reliability of the Korean version of Menopause-Specific Quality of Life (MENQOL). Methods: The MENQOL was translated into Korean according to algorithm of linguistic validation process. A total of 308 menopausal women were recruited and assessed using the Korean version of MENQOL (MENQOL-K), the World Health Organization Quality of Life Brief Version (WHOQOL-BREF), and Center for Epidemiological Studies Depression Scale (CES-D-K). In estimating reliability, internal consistency reliability coefficients were calculated. Validity was evaluated through criterion validity and construct validity with confirmatory factor analyses using SPSS 23.0 and AMOS 25.0 software. Results: In item analyses, the "increased facial hair" symptom was excluded because of the low contribution of MENQOL-K. The confirmatory factor analysis supported good fit and reliable scores for MENQOL-K model, and the four-factor structure was validated (χ²=553.28, p<.001, NC=1.84, RMSEA=.05, AGIF=.85, AIC=765.28). The MENQOL-K consists of 28 items in 4 domains, including vasomotor (3 items), psychosocial (7 items), physical (15 items), and sexual subscales (3 items). There was an acceptable criterion validity with moderately significant correlation between MENQOL-K and WHOQOL-BREF. The Cronbach's α for the 4 subsacles ranged from .80 to .93. Conclusion: The MENQOL-K is a valid and reliable scale to measure condition-specific quality of life for perimenopausal and postmenopausal women. It can be used to assess the impact of menopausal symptoms on the quality of life of Korean women in clinical trials.

• Child Health Nursing Research
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• v.15 no.3
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• pp.314-324
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• 2009

Purpose: This study was done to test the reliability and validity of the Korean parent as a teacher (KPAAT) inventory for a group of parents of preschoolers. Methods: For this methodological study with 187parents were recruited from October to December, 2004 using convenience sampling. Self-report questionnaires measured level of child-rearing attitude. Internal consistency reliability was assessed with Cronbach's alpha coefficients. Construct validity of KPAAT inventory was analyzed using item analyses and factor analysis. Statistical analysis was done using SPSS Program Version 14.0. Results: The Cronbach's alpha coefficient for the KPAAT inventory was 0.881. For item analyses, inter-item correlation coefficients were -0.029${\sim}$0.781. Corrected item-total correlation coefficients were 0.012-0.737. Item-to"subscale correlation coefficients ranged from 0.509 to 0.817. Subscale-to-total correlation coefficients were 0.965, 0.711, respectively. Orthogonal varimax rotation of the 85 items in 16 areas of the KPAAT inventory, showed two factors, positive parenting attitude and negative parenting attitude. These two factors explained 48.2% of the total variance. Conclusion: In the original KPAAT inventory six factors were identified through factor analysis, however, in this study only two factors were extracted. Whereas, internal consistency reliability was within an acceptable range, these results suggest additional studies are needed to improve the validity of the KPAAT inventory.

• Journal of Korean Academy of Nursing
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• v.38 no.6
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• pp.881-890
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• 2008

Purpose: Research related to social support in Korea has been hampered by paucity of measurement tools reflecting Korean culture. The aim of the study was to develop Korean social support questionnaire (KSSQ) based on the Korean social support pyramid and to test psychometric properties of the KSSQ. Methods: The questionnaire was administered to 701 subjects and 658 college students. Psychometric analyses included factor analyses, expert validity, criterion-related validity, internal consistency, and test-retest reliability. Results: A principal components analysis support for construct validity, eliciting a three factor solution accounting for 65.46% of variance in scores. Concurrent and discriminant validity supported criterion-related validity. Internal consistency of reliability was support with Cronbach's alpha of .97-.98 for the entire scale. Test-retest reliability was .76. Conclusion: This initial testing of KSSQ to measure Korean social support demonstrates evidence of reliability and validity. Assessment of known-group validity and norm establishment of KSSQ are suggested to provide further sound psychometric properties and practical measurement tools.

• Annals of Rehabilitation Medicine
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• v.42 no.6
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• pp.872-883
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• 2018

Objective To replace camera-based three-dimensional motion analyzers which are widely used to analyze body movements and gait but are also costly and require a large dedicated space, this study evaluates the validity and reliability of inertial measurement unit (IMU)-based systems by analyzing their spatio-temporal and kinematic measurement parameters. Methods The investigation was conducted in three separate hospitals with three healthy participants. IMUs were attached to the abdomen as well as the thigh, shank, and foot of both legs of each participant. Each participant then completed a 10-m gait course 10 times. During each gait cycle, the hips, knees, and ankle joints were observed from the sagittal, frontal, and transverse planes. The experiments were conducted with both a camera-based system and an IMU-based system. The measured gait analysis data were evaluated for validity and reliability using root mean square error (RMSE) and intraclass correlation coefficient (ICC) analyses. Results The differences between the RMSE values of the two systems determined through kinematic parameters ranged from a minimum of 1.83 to a maximum of 3.98 with a tolerance close to 1%. The results of this study also confirmed the reliability of the IMU-based system, and all of the variables showed a statistically high ICC. Conclusion These results confirmed that IMU-based systems can reliably replace camera-based systems for clinical body motion and gait analyses.

• The Journal of Korean Academic Society of Nursing Education
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• v.28 no.4
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• pp.357-367
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• 2022

Purpose: The aim of the study was to verify the validity and reliability of the Korean version of the General Attitudes towards Artificial Intelligence Scale (GAAIS-K) for nursing students. Methods: Data from 235 participants were collected from April 12 to April 26, 2022. A total of 230 participants' data were analyzed. The data were analyzed for content, discriminant, known-groups, and construct validity using content validity index, correlation coefficient, and confirmatory factor analyses. The reliability of the GAAIS-K was examined using internal consistency and test-retest analyses. Results: The expert-rated content validity index was ≥.80. The sub-scales of the GAAIS-K were moderately correlated with attitude toward accepting technology, indicative of its discriminant validity. The male students' positive attitude score was significantly higher than that of the female students, satisfying the known-groups validity. Cronbach's α for the scale was .86 (positive) and .74 (negative), and the intra-class correlation coefficient for the two-week test-retest reliability was .86 (positive) and .60 (negative). The scores for positive and negative attitudes were 3.68±0.46 and 3.05±0.55. Conclusion: This study shows that the GAAIS-K is a valid and reliable instrument for assessing nursing students. Additional research is recommended to continue the evaluation of the GAAIS-K with a focus on healthcare settings.

• Proceedings of the Korean Geotechical Society Conference
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• 2010.03a
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• pp.324-337
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• 2010

For the development of load and resistance factor design, reliability analysis is required to calibrate resistance factors in the framework of reliability theory. The distribution of measured-to-predicted pile resistance ratio was constructed based on only the results of load tests conducted to failure for the assessment of uncertainty regarding pile resistance and used in the conventional reliability analysis. In other words, successful pile load test (piles resisted twice their design loads without failure) results were discarded, and therefore, were not reflected in the reliability analysis. In this paper, a new systematic method based on Bayesian theory is used to update reliability index of driven steel pile piles by adding more pile load test results, even not conducted to failure, into the prior distribution of pile resistance ratio. Fifty seven static pile load tests performed to failure in Korea were compiled for the construction of prior distribution of pile resistance ratio. Reliability analyses were performed using the updated distribution of pile resistance ratio and the total load distribution using First-order Reliability Method (FORM). The challenge of this study is that the distribution updates of pile resistance ratio are possible using the load test results even not conducted to failure, and that Bayesian update are most effective when limited data are available for reliability analysis or resistance factors calibration.

• Journal of the Korean Society of Safety
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• v.29 no.4
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• pp.116-122
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• 2014

This study proposes a system reliability analysis of rack storage facilities subjected to forklift colliding events. The proposed system reliability analysis consists of two steps: the first step is to identify dominant failure modes that most contribute to the failure of the whole rack facilities, and the second step is to evaluate the system failure probability. In the first step, dominant failure modes are identified by using a simulation-based selective searching technique where the contribution of a failure mode to the system failure is roughly estimated based on the distance from the origin in the space of the random variables. In the second step, the multi-scale system reliability method is used to compute the system reliability where the first-order reliability method (FORM) is initially used to evaluate the component failure probability (failure probability of one member), and then the probabilities of the identified failure modes and their statistical dependence are evaluated, which is called as the lower-scale reliability analysis. Since the system failure probability is comprised of the probabilities of the failure modes, a higher-scale reliability analysis is performed again based on the results of the lower-scale analyses, and the system failure probability is finally evaluated. The illustrative example demonstrates the results of the system reliability analysis of the rack storage facilities subjected to forklift impact loadings. The numerical efficiency and accuracy of the approach are compared with the Monte Carlo simulations. The results show that the proposed two-step approach is able to provide accurate reliability assessment as well as significant saving of computational time. The results of the identified failure modes additionally let us know the most-critical members and their failure sequence under the complicated configuration of the member connections.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.33 no.3
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• pp.18-25
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• 2005

Existing methods have performed the reliability analysis using nonlinear optimization techniques. This is mainly due to the fact that they directly apply Multidisciplinary Design Optimization(MDO) frameworks to the reliability analysis formulation. Accordingly, the reliability analysis and the Multidisciplinary Analysis(MDA) are tightly coupled in a single optimizer, which hampers utilizing the recursive and function-approximation based reliability analysis methods such as the Advanced First Order Reliability Method(AFORM). In order to utilize the efficient reliability analysis method under multidisciplinary analysis systems, we propose a new strategy named Sequential Approach on Reliability Analysis under Multidisciplinary analysis systems(SARAM). In this approach, the reliability analysis and the MDA are decomposed and arranged in a sequential manner, making a recursive loop. The efficiency of the SARAM method was verified using three illustrative examples taken from the literatures. Compared with existing methods, it showed the least number of subsystem analyses over other methods while maintaining accuracy.