• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.1
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• pp.111-118
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• 2016

The scaling of concrete caused by the combined effects of frost and deicing salt is one of the principle causes of damage to transportation infrastructure in cold-climate regions. In this study, to evaluate the factors affecting scaling resistance of concrete, the relationship between the properties of concrete, such as the mechanical properties and pore structure, and scaling resistance was examined experimentally. The test results showed that the scaling resistance was strongly dependent on the absorption properties of concrete, but not on the compressive strength. Furthermore, it is believed that both the spacing factor and specific surface of the air voids was not a good parameter for evaluating the scaling resistance of concrete. SGC concrete was less durable than OPC and SFC concrete with respect to the scaling resistance in the scope of the present study.

• The Journal of the Korea Contents Association
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• v.17 no.6
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• pp.396-407
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• 2017

The purpose of this study was to investigate the changes in the vital signs and anxiety reactions during scaling to patients who had received the dental hygiene treatment at department of Dental Hygiene in a university. A total of 189 patients were participated in the study. The level of anxiety was assessed through a dental anxiety questionnaire consisting of dental fear survey scale and dental anxiety survey scale. The vital signs were measured before and after scaling. The obtained results were as follows. The level of anxiety before scaling was 2.16 and after scaling was 1.96. This was significantly higher in women. The pulse and systolic blood pressure after scaling significantly decreased from 77.48 times to 74.36 times per minute and from 124.96 mmHg to 122.50 mmHg respectively. These changes are within the normal physiological variations. Individual changes in respiration, pulse, blood pressure, body temperature are affected by age, gender and previous dental experience, but previous scaling experience. The level of anxiety was significantly explained by respiration before scaling and pulse after scaling. As a result, scaling was associated with dental anxiety reactions and changes in vital signs.

• Proceedings of the KSME Conference
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• 2005.11a
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• pp.78.1-78.1
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• 2005

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2009.11a
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• pp.242-245
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• 2009

The effect of fuel composition on flame length was studied in a non-premixed turbulent diluted hydrogen jet with coaxial air. The observed flame length was expressed as a function of the ratio of coaxial air to fuel jet velocity and compared with a theoretical prediction based on the velocity ratio. Four cases of fuel mixed by volume were determined. In the present study, we derived a scaling correlation for predicting the flame length in a simple jet with coaxial air using the effective jet diameter in the near-field concept. The experimental results showed that visible flame length had a good relation with the theoretical prediction. The scaling analysis is also valid for diluted hydrogen jet flames with varied fuel composition.

• Journal of dental hygiene science
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• v.14 no.4
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• pp.546-553
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• 2014

The purpose of this study was to investigate the actual condition of communication of dental hygienist in oral hygiene instruction during scaling. The research was intended for 67 dental hygienists who worked dental hospitals and clinics. Oral hygiene instruction during scaling was audiotaped. Pearson correlation analysis, t-test, one-way ANOVA, and chi-squared test were conducted. The results gained by the research were as follows. An analysis of 67 dental hygienists has found that 63 dental hygienists (94%) educated the patients with dentiform and 65 of them (97%) did rolling method. Thirty-three of them (49.3%) recommended oral care products to the patients. Only 14 of all educators (21%) said simple greetings and educated importance of care of subjects' teeth, side effect of scaling, when they finished all the scaling stage. The average time of oral hygiene education was 161.3 seconds. In detail, the dental hygienists told 155.0 seconds, the patients did 6.3 seconds on average. The percentage of education time without patients' comments and dialogue each other were 35.8% and 37.3% respectively. The conversation frequency according to the education level of dental hygienist showed significant difference (p<0.05). There was a negative correlation between total education time and patients coming for scaling per day and there was a positive correlation between total number of questions and patient talking time. The result of chi-squared test showed that there was significant difference on asking regards depending on setting a limitation of scaling time (p<0.05). The research showed that the dental hygienists seem to educate the patients mechanically, uniformly rather than educate them according to their oral hygiene condition.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.11B
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• pp.1311-1319
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• 2009

Microscopic specimen was captured by an integral imaging microscope and displayed as a three-dimensional image by an integral imaging display system. We applied the generalized relationship between pickup and display using two different lens arrays to our integral imaging microscope and display system. In order to display three-dimensional microscopic image, scaling of the captured elemental images is required. We analyzed the effect of the scaling coefficient in terms of the distortion of the displayed three-dimensional image and the loss of the captured elemental images. In our experiment, microscopic specimen is picked up by an integral imaging microscope having $125{\mu}m$ elemental lens pitch and displayed as three-dimensional image by an integral imaging display system having 1mm elemental lens pitch. The scaling coefficient was chosen to minimize the elemental image loss.

• Journal of Korean society of Dental Hygiene
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• v.22 no.1
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• pp.1-9
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• 2022

Objectives: This study was conducted to find scaling patients' oral health belief and satisfaction by applying Comprehensive Dental Hygiene Care (CDHC) process. Methods: From July 1 to September 20, 2020, the data about 182 patients who had scaling in dental clinics and hospitals had been collected and analyzed. For data analysis, SPSS Statistics 22.0 was applied to conduct frequency analysis, chi-square, t-test, One way ANOVA and Pearson's correlation analysis. Results: Regarding oral health behavior, in the CDHC group 92.4% used oral care products (p<0.001), and 67.4% regularly visited dental clinics for oral care (p<0.001). Regarding the oral health belief according to general characteristics, in the CDHC group, persons aged '50-65' scored 2.4 (the highest), and were significantly different from those aged '20-29' as the result of post-hoc analysis (p<0.001). Regarding the oral health belief of the CDHC group according to oral health behavior, the scaling cycle '3 months' scored the highest (p<0.05). The patients' satisfaction had high correlations with benefit (p<0.01) and Importance (p<0.05) as the sub factors of the oral health belief of the CDHC group. Conclusions: CDHC positively influenced scaling patients' oral health belief and satisfaction. Therefore, it is necessary to expand CDHC, as the medium to improve oral health belief and satisfaction, to clinical settings.

• The Journal of Engineering Geology
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• v.32 no.3
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• pp.377-388
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• 2022

Recently, several studies have utilized machine learning to efficiently and accurately analyze seismic data that are exponentially increasing. In this study, we expand earthquake information such as occurrence time, hypocentral location, and magnitude to produce a dataset for applying to machine learning, reducing the dimension of the expended data into dominant features through principal component analysis. The dimensional extended data comprises statistics of the earthquake information from the Global Centroid Moment Tensor catalog containing 36,699 seismic events. We perform data preprocessing using standard and max-min scaling and extract dominant features with principal components analysis from the scaled dataset. The scaling methods significantly reduced the deviation of feature values caused by different units. Among them, the standard scaling method transforms the median of each feature with a smaller deviation than other scaling methods. The six principal components extracted from the non-scaled dataset explain 99% of the original data. The sixteen principal components from the datasets, which are applied with standardization or max-min scaling, reconstruct 98% of the original datasets. These results indicate that more principal components are needed to preserve original data information with even distributed feature values. We propose a data processing method for efficient and accurate machine learning model to analyze the relationship between seismic data and seismic behavior.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 1999.05a
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• pp.355-360
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• 1999

In this paper, we propose a method that optimizes the parameters of fuzzy logic controller : centers and widths of membership functions and scaling factors using genetic algorithm. Before fuzzy logic controller controls a plant in real time, first off it is optimized by genetic algorithm. We select error and error variation between reference trajectory and real output for the input signals of fuzzy controller. We compared and investigated conventional fuzzy control method and proposed method through simulation and experiment using one link manipulator with nonlinear characteristic.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.24 no.10A
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• pp.1579-1587
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• 1999

Bias-dependent noise models of $0.2\mu\textrm{m}$ gate length P-HEMT's which are scalable with gate width are proposed. To predict S-parameters of the P-HEMT's the intrinsic parameters except for $\tau$ subtracted the offsets introduced in this paper are normalized to the gate width and then scaled. The small-signal model parameters are expressed as fitting functions of the drain current to $\textrm{I}_{dss}$ ratio and gate width. In addition, to estimate accurately noise parameters the noise temperature $\textrm{T}_{g}$ of the intrinsic resistance, the equivalent noise conductance $\textrm{G}_{ni}$ of the gate current noise source, and the equivalent noise conductance $\textrm{G}_{no}$ of the drain current noise source are adopted as the noise model parameters. The extracted values of $\textrm{T}_{g}$ are nearly independent of drain current and gate width and their average is around the ambient temperature. The extracted values of $\textrm{G}_{ni}$ are small enough to be neglected to the circuit characteristics. From the comparison of the noise model with only $\textrm{G}_{no}$ and that having $\textrm{T}_{g}$, $\textrm{G}_{ni}$ and $\textrm{G}_{no}$ to the measured data it is fund that even the former model is in good agreement with the measured noise parameters. Thus, from a practical point of view the noise model having only the drain current noise source is confirmed as a scalable bias-dependent model.