• Nuclear Engineering and Technology
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• v.56 no.4
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• pp.1125-1134
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• 2024

This paper presents a validation study of the subchannel analysis code SLTHEN used for the core thermal-hydraulic design of the Prototype Gen-IV sodium-cooled fast reactor (PGSFR). To assess the performance of the ENERGY model of SLTHEN, four liquid metal heating experiments conducted by ORNL, WARD, and KIT with hexagonal assemblies of wire-wrapped rod bundles were analyzed. These experiments were performed with 19-and 61-pin bundles and varying power distributions of axial and radial peaking factors up to 1.4 and 3.0, respectively. The coolant subchannel temperatures measured at different axial locations were compared with the SLTHEN predictions with the Novendstern, Chiu-Rohsenow-Todreas (CRT), and Cheng-Todreas (CT) correlations for flow split and mixing in wire-wrapped pin bundles. The results showed that the SLTHEN predicts the measured subchannel temperatures reasonably well with root-mean-square errors of ~10 % and maximum errors of ~20 %. It was also observed that the CRT and CT correlations consistently outperform the Novendstern correlation.

• Journal of Animal Reproduction and Biotechnology
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• v.39 no.2
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• pp.114-120
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• 2024

Background: The Hanwoo industry must develop technologies that can increase the production of preferred cuts to match changing consumer trends. In this study, we aimed to estimate the genetic parameters for carcass traits (carcass weight, eye muscle area, back fat thickness, and intramuscular fat) and primal cut traits (tenderloin, loin, strip loin, neck, clod, top round, bottom round, brisket, shank, and rib) in a Hanwoo population to obtain basic data for improving primal cut productivity. Methods: Data from 1,905 Hanwoo steers, including carcass traits and primal cut weights, were collected. Genetic parameters were estimated using REMLF90 in a multi-trait analysis. Results: High heritability was found for carcass weight (0.52) and strip loin yield (0.63). Genetic correlations between carcass weight and primal cut weights ranged from 0.52 to 0.93. Conclusions: This study demonstrates the significant potential for genetic improvement in Hanwoo cattle through selective breeding, particularly for traits with high heritability and genetic correlations. These findings provide crucial insights into optimizing breeding programs to improve Hanwoo cattle production efficiency.

• Journal of Korean Medicine Rehabilitation
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• v.24 no.4
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• pp.177-185
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• 2014

Objectives This study analyzed the correlation between body parameters measured using X-ray and Chuna posture analysis system to determine their clinical value in diagnosing and evaluating skeletomuscular diseases. Methods X-ray and Chuna posture analysis system were performed for 105 patients to measure physical characteristics such as Interacromial angle, Pelvic obliquity angle, Structural leg length discrepancy (SLLD), Midpatella-midtalus angle (MMA) and Q-angle, Anterior head translation (AHT), Anterior superior iliac spine to posterior superior iliac spine angle (ASIS-PSIS angle), Interscapular angle, Scoliotic angle and Cobb's angle. Statistical analysis using statistical analysis techniques and Pearson correlation coefficients was performed to assess the body parameters obtained by X-ray and Chuna posture analysis system. Results Significant correlations were observed between the values for Interacromial angle, Pelvic obliquity angle, SLLD, MMA and Q-angle, AHT, ASIS-PSIS angle, Interscapular angle, Scoliotic angle and Cobb's angle obtained by X-ray and Chuna posture analysis system. Significant correlations were also observed between right MMA and left Q-angle as well as between left MMA and right Q-angle. Conclusions Chuna posture analysis system can be used instead of X-ray measure body parameters and perform posture analysis in clinical practice. This study's findings are expected to serve as a basis for further research on the clinical application of Chuna posture analysis system.

• The Journal of Engineering Geology
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• v.33 no.4
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• pp.673-687
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• 2023

Exploratory data analysis is the process of observing and understanding data collected from various sources to identify their distributions and correlations through their structures and characterization. This process can be used to identify correlations among conditioning factors and select the most effective factors for analysis. This can help the assessment of landslide susceptibility, because landslides are usually triggered by multiple factors, and the impacts of these factors vary by region. This study compared two stages of exploratory data analysis to examine the impact of the data exploration procedure on the landslide prediction model's performance with respect to factor selection. Deep-learning-based landslide susceptibility analysis used either a combinations of selected factors or all 23 factors. During the data exploration phase, we used a Pearson correlation coefficient heat map and a histogram of random forest feature importance. We then assessed the accuracy of our deep-learning-based analysis of landslide susceptibility using a confusion matrix. Finally, a landslide susceptibility map was generated using the landslide susceptibility index derived from the proposed analysis. The analysis revealed that using all 23 factors resulted in low accuracy (55.90%), but using the 13 factors selected in one step of exploration improved the accuracy to 81.25%. This was further improved to 92.80% using only the nine conditioning factors selected during both steps of the data exploration. Therefore, exploratory data analysis selected the conditioning factors most suitable for landslide susceptibility analysis and thereby improving the performance of the analysis.

• Water Engineering Research
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• v.1 no.2
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• pp.107-117
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• 2000

Streamflow patterns at two gauging stations in Korea, An-Dong dam and Chung-Ju dam, are statistically analyzed in relation to EI Nino/Southern Oscillation (ENSO). As a measure of ENSO, the Southern Oscillation Index (SOI) is used on a monthly and seasonal basis. The traditional correlation analysis shows that cross correlations of the SOI with the seasonal streamflow are generally weak. To investigate the relationship between the extreme values of the SOI, which represent the EI Nino and La Nina events, and the corresponding streamflow patterns, the composite analysis is employed in this study. The composite analysis demonstrates that when EI Nino occurs, seasonal streamflows at An-Dong and Chung-Ju dams during the period from September of the EI Nino year to February of the following year appear to be drier than their means.

• Proceedings of the KSME Conference
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• 2001.06e
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• pp.463-468
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• 2001

This paper presents the methodology for thermal hydraulic analysis of Pressurized Water Reactor (PWR) steam generators. Topics include porous media approach, governing equations, physical models and correlations for solid-to-fluid interaction and heat transfer and numerical solution scheme. Some details about the ATHOS3 code currently used widely for thermal hydraulic analysis of PWR steam generators in the industry are presented. The ATHOS3 code is applied to the thermal hydraulic analysis of steam generator in the Korea YGN 3&4 nuclear power plant and the computed results are presented.

• Journal of Korean Society for Quality Management
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• v.40 no.1
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• pp.25-38
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• 2012

Service FMEA may yield several possible corrective actions for each failure mode with large RPN. Corrective actions for each service failure are usually interrelated with the customers and environmental elements of the service system. SWOT analysis can provide an effective way to analyze the inner and outer environmental impacts for each corrective action. In this paper, we suggest a way for selecting and ranking corrective strategy in service operation based on SWOT analysis. Every candidate of corrective action strategy is ranked and evaluated on the basis of the impact factors of the SWOT variables, correlations between possible corrective actions and SWOT variables, and RPNs of service failures. The most desirable set of corrective actions is selected considering the preference score of each corrective action, required resources and budgetary allowance. The proposed methodology is demonstrated with an illustrative example.

• Knowledge Management Research
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• v.6 no.1
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• pp.1-17
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• 2005

Both knowledge management and BSC practices are in its inception in the tourism field, and the study explores the relationships between knowledge and BSC perspectives using correlations and path analysis. The purpose of this study was to explore the casual relationships among tourist destination knowledge and BSC performance perspectives. The study model added knowledge perspectives to the usual BSC model (with customer, growth and learning, internal process, and financial perspectives), in addition to the modification of the financial perspectives to economic, socio-cultual and physical impact. The study found out that knowledge supports learning and growth perspectives greatly, and less extent, internal processes and customer perspectives. Learning and growth affects internal processes and customer perspectives. Internal process supports customer perspectives. Both customer and, less extent, internal process have impact on the final results. The final analysis results were different by destination type. The study concludes with recommendations for further studies including rational BSC model for tourist destinations and relationships between BSC performance indicators.

• Fashion & Textile Research Journal
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• v.12 no.2
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• pp.172-178
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• 2010

The purpose of this study was to explore relationships among technology development strategy, marketing competence, knowledge management competence, and company performance of textile and clothing companies. Survey data collected from 187 employees in the textile and clothing companies were analyzed by descriptive statistics, factor analysis, reliability analysis, correlation analysis, and multiple regression analysis. In results, certain levels of correlations were found among technological development strategy, marketing competence, knowledge management competence, and company performance. Specifically, technological gap which was one of the technology development strategy factors was a variable significantly affecting innovation performance and financial performance of textile and clothing companies. Knowledge management competence affected innovation performance whereas marketing competence affected financial competence of textile and clothing companies.

• Proceedings of the KSME Conference
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• 2003.04a
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• pp.604-609
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• 2003

Flaw geometries, applied stress, and material properties are major input variables for the fracture mechanics analysis. Probabilistic approach can be applied for the consideration of uncertainties within these input variables. But probabilistic analysis requires many assumptions due to the lack of initial flaw distributions data. In this study correlations are examined between initial flaw distributions and in-service flaw distributions on structures under cyclic load. For the analysis, LEFM theories and Monte Carlo simulation are applied. Result shows that in-service flaw distributions are determined by initial flaw distributions rather than fatigue crack growth rate. So initial flaw distribution can be derived from in-service flaw distributions.