• Journal of the Korea Society for Simulation
• /
• v.18 no.3
• /
• pp.103-112
• /
• 2009

In a nuclear power plant (NPP), periodic sensor calibrations are required to assure sensors are operating correctly. However, only a few faulty sensors are found to be calibrated. For the safe operation of an NPP and the reduction of unnecessary calibration, on-line calibration monitoring is needed. In this paper, principal component-based Auto-Associative support vector regression (PCSVR) was proposed for the sensor signal validation of the NPP. It utilizes the attractive merits of principal component analysis (PCA) for extracting predominant feature vectors and AASVR because it easily represents complicated processes that are difficult to model with analytical and mechanistic models. With the use of real plant startup data from the Kori Nuclear Power Plant Unit 3, SVR hyperparameters were optimized by the response surface methodology (RSM). Moreover the statistical techniques are integrated with PCSVR for the failure detection. The residuals between the estimated signals and the measured signals are tested by the Shewhart Control Chart, Exponentially Weighted Moving Average (EWMA), Cumulative Sum (CUSUM) and generalized likelihood ratio test (GLRT) to detect whether the sensors are failed or not. This study shows the GLRT can be a candidate for the detection of sensor drift.

• Journal of Korea Entertainment Industry Association
• /
• v.13 no.6
• /
• pp.221-233
• /
• 2019

The purpose of this study tries to show the effectiveness of integrated theater education for low-grade students who lack social skills with the direction of art education based on 'theatrical and educational theater' and 'theater therapy' in the revised curriculum in 2015. To do this, the researcher organized a theater camp organized by the social, cultural and arts education institute in Seoul for a total of 12 low-grade elementary school students for four weeks, and had a presentation session. In addition, the researcher observed the behavioral changes of the participating children to verify the social development of the theater education and after the conclusion, the final results were obtained through the in-depth interviews of the participants' parents and teachers. As a result, it was found that Social Skills Rating System(SSRS)' test, teachers' observation logs, interviews, and responses of participating children, which are the main subjects of this activity, had a great effect on improving their sociality and relationship. Therefore, the researcher tried to prove through this paper that theater education is effective in enhancing social skills as creative, personality and convergence education in preparation for the 4th industrial era and that it is important to solve communication problems such as the absence of human relationships.

• Journal of Korea Entertainment Industry Association
• /
• v.13 no.1
• /
• pp.25-34
• /
• 2019

The purpose of this study is to develop a mobile app for mental health self care of university student. User centered design is a research design that applies the subject's needs assessment, analysis, design, development, evaluation, modification and supplement to suit the subjects. In order to manage the mental health of university students, they consisted of four main areas of mental health problems: drinking, sleeping, depression, and stress. It is designed to enable self test content, analysis and notification of inspection results, and management plan for current status of each area. Based on this, I developed an Android based mental health self-care Application. The subject can enter his or her mental health status data to explain the normal or risk level for each result, and the subject can then select the appropriate intervention method that he or she can perform. In addition, we developed a mental health self care calendar that can display the present status of each of the four areas on a day by day basis, and the current status can be expressed in an integrated manner through animations and status bars. The purpose of this study was to develop a mental health self-care app that can be improved by continuous and improved programs.

• Korean Journal of Culture and Social Issue
• /
• v.17 no.2
• /
• pp.241-260
• /
• 2011

This study was to develop the fun perception scale measuring what conditions employees experience fun feeling in work and to examine the construct validity of it. For this, the pre-studies(open-ended questionnaire, in-depth interviews, literature survey, pre-survey) were conducted to develop the preliminary questions of fun scale. In main study, 250 employees(male: 125, female, 125) were responded to a questionnaire consisted of 40 questions of fun perception scale extracted by pre-studies. The results were as follow. First, through the item analysis, factor analysis and reliability analysis, 7 factors composed of 29 items were extracted: 'self-determination', 'extrinsic reward', 'goal achievement', 'pleasure in the process', 'contribution to the company', 'worthless', 'challenge'. Cronbach's alpha reliability coefficient of each factor was suitable. Secondly, EFA was conducted to test the construct validity of fun scale with AMOS 16.0. Several goodness of fit indexes were used to assess model fit: X2/df, TLI, CFI, RMSEA. The results were revealed that all the indexes were acceptable with no additional modification. Based on these findings, the theoretical and the practical implications of fun perception scale were discussed.

• Industry Promotion Research
• /
• v.8 no.4
• /
• pp.187-200
• /
• 2023

The purpose of this paper is to correspond to four-elements in astrology theory, an intellectual from ancient times, that show personality temperament among MBTI, a representative personality type test in modern times, furthermore, by examining 16 personality type cards in tarot, a play culture and fortune telling culture in which the four-element theory is integrated in symbols, it is a comparative consideration that connects the characteristics of the character types contained in them to the 16 personality types of MBTI. The four preferred types of MBTI are Extravesion(E) and Introversion(I), Sensing(S) and Intuition(N), Thinking(T) and Feeling(F), Judgment(J) and Perception(P). Among them, Western four-elements were able to respond to Fire, Water, Air, and Earth in the order of NF(iNtuitive Feeling Type), SF(Sensory Feeling Type), NT(iNtuitive Thinking Type), and ST(Sensory Thinking Type). This is a result that can be derived by comparing individual personality theory and MBTI temperament theory among the symbols contained in ancient astrological theories. And the classification of boys, knights, queens, and kings in the four classes of person cards could be divided according to the MBTI attitude index. The boy showed an adaptive introvert using I and P, the knight showed an adaptive extrovert using E and P, the queen showed a decisive introvert using I and J, and the king showed an adaptive extrovert using E and J.

• Korean Journal of Radiology
• /
• v.23 no.6
• /
• pp.664-673
• /
• 2022

Objective: To evaluate the performance of baseline clinical characteristics and pretherapeutic histogram parameters derived from T2 mapping of the extraocular muscles (EOMs) in the prediction of treatment response to intravenous glucocorticoid (IVGC) therapy for active and moderate-to-severe thyroid-associated ophthalmopathy (TAO) and to investigate the effect of fat-suppression (FS) in T2 mapping in this prediction. Materials and Methods: A total of 79 patients clinically diagnosed with active, moderate-to-severe TAO (47 female, 32 male; mean age ± standard deviation, 46.1 ± 10 years), including 43 patients with a total of 86 orbits in the responsive group and 36 patients with a total of 72 orbits in the unresponsive group, were enrolled. Baseline clinical characteristics and pretherapeutic histogram parameters derived from T2 mapping with FS (i.e., FS T2 mapping) or without FS (i.e., conventional T2 mapping) of EOMs were compared between the two groups. Independent predictors of treatment response to IVGC were identified using multivariable analysis. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the predictive performance of the prediction models. Differences between the models were examined using the DeLong test. Results: Compared to the unresponsive group, the responsive group had a shorter disease duration, lower kurtosis (FS-kurtosis), lower standard deviation, larger 75th, 90th, and 95th (FS-95th) T2 relaxation times in FS mapping and lower kurtosis in conventional T2 mapping. Multivariable analysis revealed that disease duration, FS-95th percentile, and FS-kurtosis were independent predictors of treatment response. The combined model, integrating all identified predictors, had an optimized area under the ROC curve of 0.797, 88.4% sensitivity, and 62.5% specificity, which were significantly superior to those of the imaging model (p = 0.013). Conclusion: An integrated combination of disease duration, FS-95th percentile, and FS-kurtosis was a potential predictor of treatment response to IVGC in patients with active and moderate-to-severe TAO. FS T2 mapping was superior to conventional T2 mapping in terms of prediction.

• Nuclear Engineering and Technology
• /
• v.55 no.12
• /
• pp.4447-4464
• /
• 2023

This paper focuses on the development of a new computational model of the CNESTEN's TRIGA Mark II research reactor using the 3D continuous energy Monte-Carlo code TRIPOLI-4 (T4). This new model was developed to assess neutronic simulations and determine quantities of interest such as kinetic parameters of the reactor, control rods worth, power peaking factors and neutron flux distributions. This model is also a key tool used to accurately design new experiments in the TRIGA reactor, to analyze these experiments and to carry out sensitivity and uncertainty studies. The geometry and materials data, as part of the MCNP reference model, were used to build the T4 model. In this regard, the differences between the two models are mainly due to mathematical approaches of both codes. Indeed, the study presented in this article is divided into two parts: the first part deals with the development and the validation of the T4 model. The results obtained with the T4 model were compared to the existing MCNP reference model and to the experimental results from the Final Safety Analysis Report (FSAR). Different core configurations were investigated via simulations to test the computational model reliability in predicting the physical parameters of the reactor. As a fairly good agreement among the results was deduced, it seems reasonable to assume that the T4 model can accurately reproduce the MCNP calculated values. The second part of this study is devoted to the sensitivity and uncertainty (S/U) studies that were carried out to quantify the nuclear data uncertainty in the multiplication factor k_eff. For that purpose, the T4 model was used to calculate the sensitivity profiles of the k_eff to the nuclear data. The integrated-sensitivities were compared to the results obtained from the previous works that were carried out with MCNP and SCALE-6.2 simulation tools and differences of less than 5% were obtained for most of these quantities except for the C-graphite sensitivities. Moreover, the nuclear data uncertainties in the k_eff were derived using the COMAC-V2.1 covariance matrices library and the calculated sensitivities. The results have shown that the total nuclear data uncertainty in the k_eff is around 585 pcm using the COMAC-V2.1. This study also demonstrates that the contribution of zirconium isotopes to the nuclear data uncertainty in the k_eff is not negligible and should be taken into account when performing S/U analysis.

• Journal of the Health Care and Life Science
• /
• v.9 no.2
• /
• pp.303-308
• /
• 2021

Staphylococcus aureus and methicillin resistant S. aureus (MRSA) is a major cause of nosocomial infections and is one of the most commonly isolated bacterial species in the hospital and continues to be an important pathogens in both community and hospital-acquires infection. The purpose of this study is to investigate the carrier rate of S. aureus and MRSA in the community and molecular genetic characteristics of these organisms. The identification of S. aureus and MRSA were done by the procedures in Murray's manual of Clinical Microbiology and antibiotic susceptibility patterns by the Clinical and Laboratory Standards Institute(CLSI). MRSA strains were confirms by oxacillin disk diffusion method. forty-six strains (71.9%) of S. aureus were isolated from the nasal specimens of 64 students in health science university. twenty-two strains (22%) of 46 S. aureus were resistant to penicillin and oxacillin. twenty-two strains of the 46 S. aureus isolates were methicillin-resistant Staphylococcus aureus (MRSA). The mecA genes in MRSA were detected by polymerase chain reaction (PCR). Community and nosocomial infections caused by methicillin-resistant Staphylococcus aureus are a significant problem worldwide. There continuous epidemiological study is to investigate the prevalence of MRSA in community acquired infections.

• International conference on construction engineering and project management
• /
• 2024.07a
• /
• pp.1321-1321
• /
• 2024

Concrete arch dams, unlike conventional concrete gravity dams, have thin arch-shaped cross sections and must be designed considering a three-dimensional shape. In particular, double-curvature arch dams, which have arch-shaped vertical and horizontal sections, require careful consideration during design due to their unique shape. Although stress analysis is complex, and various factors need to be considered during the design, these dams offer economic advantages as they require less material. Consequently, numerous double-curvature arch dams have been constructed worldwide, and ongoing research focuses on optimizing their shapes. In this study, an efficient optimization algorithm was developed for the shape optimization of concrete arch dams with double-curvature using genetic algorithms and improved population initializing technique. The developed technique utilized domain knowledge in the field of arch dams to generate an excellent initial population. To assess the relevance of domain knowledge, an investigation was conducted on the accumulated knowledge and empirical formulas from literature. Two pieces of domain knowledge can be gleaned from the iterative structural design experiences associated with arch dams. First, it concerns the thickness of the central cantilever of an arch dam. For minimum tensile stress, it is best to make the thickness as thin as possible at the dam crest and gradually become thicker as it goes down. The second aspect concerns the sliding stability of the arch dam, which depends on the central angle of the horizontal section. This angel is important for stability because the plane arch serves to transfer the hydraulic load from the reservoir to both abutments. Also, preliminary design formulas for arch dams from a manual written by the United States Bureau of Reclamation (USBR) were used. On the other hand, since domain knowledge is based on engineering experiences and data from existing dams, its usability should be verified by comparing it with the results of design optimization performed by classic genetic algorithms. To validate the performance of the optimization algorithm with the improved population initialization technique, a test site with an existing dam was selected, and algorithmic application tests were conducted. Stress analysis is performed for each design iteration, evaluating constraints and calculating fitness as the objective function. The results confirmed that the algorithm developed in this study exhibits superior performance in terms of average fitness and convergence rate compared to classic genetic algorithms.

• Journal of Practical Engineering Education
• /
• v.16 no.5_spc
• /
• pp.793-802
• /
• 2024

This study aimed to test a hypothetical model explaining the mediating effect of depression on the relationship between academic burnout and clinical practice stress among nursing students in the post-COVID-19 era. A cross-sectional survey was conducted with 200 senior nursing students from two universities in C province, South Korea, from December 1 to 9, 2023. Data were analyzed using descriptive statistics, Pearson's correlation, and structural equation modeling with SPSS/WIN 26.0 and AMOS 26.0. The hypothesized model explained 75.6% of the variance in clinical practice stress among nursing students. Depression did not mediate the relationship between academic burnout and clinical practice stress (β=.06, p=.160). However, both academic burnout (β=.77, p=.004) and depression (β=.23, p=.005) directly affected clinical practice stress. In the post-COVID-19 era, academic burnout significantly influences nursing students' clinical practice stress. While depression does not mediate this relationship, it directly affects clinical practice stress. These findings suggest the need for interventions focusing on reducing academic burnout through mentoring programs and stress management strategies, alongside depression management, to alleviate clinical practice stress among nursing students. Future nursing education should implement an integrated approach to manage students' academic burden and support mental health following clinical practice.