• Nuclear Engineering and Technology
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• v.53 no.3
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• pp.793-803
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• 2021

The small PWR has been paid more and more attention due to its diversity of application and flexibility in the site selection. However, the large core power density, the small containment space and the rapid accident progress characteristics make it difficult to control the containment pressure like the traditional PWR during the LOCA. The pressure suppression system has been used by the BWR since the early design, which is a suitable technique that can be applied to the small PWR. Since the configuration and operating conditions are different from the BWR, the pressure suppression system should be redesigned for the small PWR. Conducting the experiments on the scale down test facility is a good choice to reproduce the prototypical phenomena in the test facility, which is both economical and reasonable. A systematic scaling method referring to the H2TS method was proposed to determine the geometrical and thermohydraulic parameters of the pressure suppression containment response test facility for the small PWR conceptual design. The containment and the pressure suppression system related thermohydraulic phenomena were analyzed with top-down and bottom-up scaling methods. A set of the scaling criteria were obtained, through which the main parameters of the test facility can be determined.

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2003.11a
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• pp.322-327
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• 2003

It is important to know the accurate radionuclide inventory of radioactive waste for the reliable management. However, estimation of radionuclide concentrations in drummed radioactive waste is difficult and unreliable because of difficulties of direct detection, high cost, and radiation exposure of sampling personnel. In order to overcome these difficulties, scaling factors (SFs) have been used to assess the activities of radionuclides that could not be directly analyzed. A radionuclide assay system has been operated at KORI site since 1996 and consolidated scaling factor method has played a dominant role in determination of radionuclides concentrations. However, some problems are still remained such as uncertainty of estimated scaling factor values, inaccuracy of analyzed sample values, and disparity between the actual and ideal correlation pairs and the others. Therefore, it needs to improve the accuracy of scaling factor values. The scope of this paper is focused on the improvement of accuracy and representativeness of calculated scaling factor values based on statistical techniques. For the selection of reliable activity determination method, the accuracy of estimated SF values for each activity determination method is compared. From the comparison of each activity determination methods, it is recommended that SF determination method should be changed from the arithmetic mean to the geometrical mean for more reliable estimation of radionuclide activity. Arithmetic mean method and geometric mean method are compared based on the data set in KORI system.

• The Journal of Engineering Geology
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• v.33 no.4
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• pp.639-655
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• 2023

Recently, there has been a growing demand for underground space, leading to the utilization of earth retaining walls for deep excavations. Earth retaining walls are structures that are susceptible to displacement, and their measurement and management are carried out in accordance with the standards established by the Ministry of Land, Infrastructure, and Transport. However, managing displacement through measurement can be considered similar to post-processing. Therefore, in this study, we not only predicted the horizontal displacement of a retaining wall with ground anchors installed using machine learning, but also analyzed the impact of the prediction model based on data scaling and data splitting methods while learning measurement data using machine learning. Custom splitting was the most suitable method for learning and outputting measurement data. Data scaling demonstrated excellent performance, with an error within 1 and an R-squared value of 0.77 when the anchor tensile force and water pressure were standardized. Additionally, it predicted a negative displacement compared to a model that without scaling.

• Journal of the Korean earth science society
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• v.37 no.5
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• pp.277-285
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• 2016

We introduce a depth scaling strategy to improve the accuracy of frequency-domain elastic full waveform inversion (FWI) using the new pseudo-Hessian matrix for seismic data without low-frequency components. The depth scaling strategy is based on the fact that the damping factor in the Levenberg-Marquardt method controls the energy concentration in the gradient. In other words, a large damping factor makes the Levenberg-Marquardt method similar to the steepest-descent method, by which shallow structures are mainly recovered. With a small damping factor, the Levenberg-Marquardt method becomes similar to the Gauss-Newton methods by which we can resolve deep structures as well as shallow structures. In our depth scaling strategy, a large damping factor is used in the early stage and then decreases automatically with the trend of error as the iteration goes on. With the depth scaling strategy, we can gradually move the parameter-searching region from shallow to deep parts. This flexible damping factor plays a role in retarding the model parameter update for shallow parts and mainly inverting deeper parts in the later stage of inversion. By doing so, we can improve deep parts in inversion results. The depth scaling strategy is applied to synthetic data without lowfrequency components for a modified version of the SEG/EAGE overthrust model. Numerical examples show that the flexible damping factor yields better results than the constant damping factor when reliable low-frequency components are missing.

• Journal of Korean society of Dental Hygiene
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• v.15 no.6
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• pp.1053-1061
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• 2015

Objectives: The purpose of the study is to investigate the influencing factors of community scaling rate using community health survey data. Methods: The data were extracted from 2013 Community Health Survey, Ministry of education, Korea Dental Association, Statistics Korea, Health Insurance Review and Assessment Service, and Ministry of the Interior. The resource factors of independent variables were analysed by Geographical Information System(GIS) using Map Wizard for Excel 17.0. The data were analyzed by descriptive analysis, pearson correlation and multiple linear regression analysis(p<0.05). Results: Seocho-gu in Seoul had the highest annual scaling rate(55.5%) and Goheung-gun had the lowest rate(11%) showing 44.5 percent gap. The influencing factors of scaling included the number of dental hygienists(r=0.316), dentists(r=0.332), dental hospitals(r=0.470), high school graduation rate(r=0.757) and equivalence scales household income(r=0.764)(p<0.05). Multiple linear regression analysis showed that community scaling rate was closely associated with community education level and monthly income(p<0.05). Conclusions: Community scaling rate was closely related to the community education and income level. It is necessary to provide the equal distribution of the oral health service to the community society.

• Journal of the Korean Society for Precision Engineering
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• v.19 no.9
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• pp.74-81
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• 2002

Recently tube hydroforming has been widely applied to the automotive industries due to its several advantages over conventional methods. In this paper, attention is paid to comparison of an implicit and an explicit finite element method widely used for numerical simulation of a hydroforming process. For an explicit FEM, a huge amount of computational time is required because of the very small time increment to solve a quasi-static problem. Hence, when an explicit FEM is used fDr a hydroforming process, it is general to convert the real problem to a virtual problem with a different processing time and mass density by appropriate scaling factor. However it is difficult to figure out how large the scaling should be adopted enough to ignore the dynamic effects and maintain the desired accuracy. In this paper, the comparison of the results obtained from both methods focus on the accuracy of the predicted geometrical shape and the stress with various scaling factors which are applied to analyze hydroforming process of an automobile lower arm.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.8
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• pp.3942-3961
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• 2019

Recently, the models of deep super-resolution networks can successfully learn the non-linear mapping from the low-resolution inputs to high-resolution outputs. However, for large scaling factors, this approach has difficulties in learning the relation of low-resolution to high-resolution images, which lead to the poor restoration. In this paper, we propose Stage Generative Adversarial Networks (Stage-GAN) with semantic maps for image super-resolution (SR) in large scaling factors. We decompose the task of image super-resolution into a novel semantic map based reconstruction and refinement process. In the initial stage, the semantic maps based on the given low-resolution images can be generated by Stage-0 GAN. In the next stage, the generated semantic maps from Stage-0 and corresponding low-resolution images can be used to yield high-resolution images by Stage-1 GAN. In order to remove the reconstruction artifacts and blurs for high-resolution images, Stage-2 GAN based post-processing module is proposed in the last stage, which can reconstruct high-resolution images with photo-realistic details. Extensive experiments and comparisons with other SR methods demonstrate that our proposed method can restore photo-realistic images with visual improvements. For scale factor ${\times}8$, our method performs favorably against other methods in terms of gradients similarity.

• Journal of Electrochemical Science and Technology
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• v.14 no.2
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• pp.105-119
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• 2023

The electrochemical chlorine evolution reaction (CER) is an important electrochemical reaction and has been widely used in chlor-alkali electrolysis, on-site generation of ClO^-, and Cl₂-mediated electrosynthesis. Although precious metal-based mixed metal oxides (MMOs) have been used as CER catalysts for more than half a century, they intrinsically suffer from a selectivity problem between the CER and parasitic oxygen evolution reaction (OER). Hence, the design of selective CER electrocatalysts is critically important. In this review, we provide an overview of the fundamental issues related to the electrocatalysis of the CER and design strategies for selective CER electrocatalysts. We present experimental and theoretical methods for assessing the active sites of MMO catalysts and the origin of the scaling relationship between the CER and the OER. We discuss kinetic analysis methods to understand the kinetics and mechanisms of CER. Next, we summarize the design strategies for new CER electrocatalysts that can enhance the reactivity of MMO-based catalysts and overcome their scaling relationship, which include the doping of MMO catalysts with foreign metals and the development of non-precious metal-based catalysts and atomically dispersed metal catalysts.

• The Journal of Korean Society for School & Community Health Education
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• v.13 no.1
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• pp.55-64
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• 2012

Objectives: The purpose of this study was related factors of oral health of scaling patients in dental hygiene department. Methods: The sample consisted of 218 at the scaling practice room of dental hygiene department in D College from March to November 2011. Chi-square test was used to analyze the relation the oral health behavior or oral hygiene and oral health, and losistic regression analysis was performed to analyze the factors asociated with oral health. Results: Scaling patients was 43.6% of the male and 56.4% of the women. Their age group was 79.8% of the twenty. Lately they was smoking status 69.7%. Brushing three times a day, 55.8% in male and female were 74.0% with significant differences(p=0.019). Kind of toothbrush "normal" the response was the highest, 45.3% male, 62.6% women were significantly higher in women(p=0.012). Toothbrushing educational experienced 33.7% men, women's educational experience rate of 52.8% was significantly higher(p=0.006), use of oral hygiene products education experienced 15.8% of the men and women 27.6% had significant difference(p=0.049). Scaling experience is not in the Dental plaque index the number of "bad" was significantly higher(p=0.035), toothbrushing educational experience is not in the Dental plaque index the number of "bad" and significantly higher(p=0.008) and Gingival bleeding index was significantly higher(p=0.033). Use of oral hygiene products educational experience if you do not have the number of the Dental plaque index "bad" were higher(p=0.011). Gingival bleeding index, affecting demographic variables were smoking(p=0.024). Dental plaque index the influence of experience with oral hygiene products factors(p=0.044) and gingival bleeding index was influenced Toothbrushing of educational experience(p=0.029). Conclusion: The results reported here confirm the factors associated with the oral health were education of oral hygiene products factors and Toothbrushing experience.

• Journal of Korean society of Dental Hygiene
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• v.17 no.3
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• pp.395-404
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• 2017

Objectives: The purpose of this study was to identify the effects of music intervention on the patient's fear and anxiety during scaling. Methods: 360 patients who had visited W University dental hygiene laboratory were selected as study subjects and divided into experiment group and control group. Results: Study results showed that the control group (71.9%) and the experimental group (75.1%) had experiences avoiding dental treatment due to fear. In the control group (37.6%) and experimental group (40.6%), the highest influencing factor was the sound of machine and followed by pain. The experimental group preferred classical music, followed by pop songs, trot music and instrumental music. In the experimental group (83.3%), fear and anxiety were alleviated by music, and 77.9% of the patients mentioned they would recommend music for scaling to other patients. There was an interaction effect (p=0.014) between the groups before and after the measurement of the lowest blood pressure. There was a significant difference in pulse before and after pulse measurement (p=0.000). There was a significant difference in respiration between groups (p=0.042) and before and after respiration (p=0.030). Conclusions: Study results showed that music intervention that utilizes music during scaling showed significant effects on the alleviation of fear and anxiety, affecting Pulse number among vital signs. Therefore, more systematic program is to be required to alleviate dental fear and anxiety with music therapy not only for scaling, but also for dental clinic in the future.