• 대한기계학회논문집B
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• 제31권7호
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• pp.644-652
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• 2007

In this paper, a technique of simultaneously measuring the velocity and the temperature in micro-scale flow is proposed. This method uses particle tracking velocimetry (PTV) for measuring the velocity and laser induced fluorescence (LIE) for measuring the temperature. To measure the accurate velocity and temperature, images for PTV and for LIE are separated by using two light sources and a shutter which is synchronized with a camera. By using only one camera, measurement system can be simplified and the error from complicate optical system can be minimized. Error analyses regarding the concentrations of fluorescent dye and particle and the light source fluctuation are also conducted. It is found that the error of the temperature and the velocity highly depends on the concentration of fluorescent particles which are used for PTV. This technique is applied to the simultaneous measurement of the velocity and the temperature in the electrokinetic flow. It is found that the velocity and temperature vary with the electric field strength and the concentration of electrolyte.

• ETRI Journal
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• 제39권2호
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• pp.292-299
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• 2017

We propose pulse-mode dynamic $R_on$ measurement as a method for analyzing the effect of stress on large-scale high-power AlGaN/GaN HFETs. The measurements were carried out under the soft-switching condition (zero-voltage switching) and aimed to minimize the self-heating problem that exists with the conventional hard-switching measurement. The dynamic $R_on$ of the fabricated AlGaN/GaN MIS-HFETs was measured under different stabilization time conditions. To do so, the drain-gate bias is set to zero after applying the off-state stress. As the stabilization time increased from $ 0.1{\mu}s$ to 100 ms, the dynamic $R_on$ decreased from $160\Omega$ to $2\Omega$. This method will be useful in developing high-performance GaN power FETs suitable for use in high-efficiency converter/inverter topology design.

• Wind and Structures
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• 제14권3호
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• pp.253-283
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• 2011

This paper presents the field measurement results of wind effects on a super-tall building (CITIC Plaza, 391 m high) located in Guangzhou. The field data such as wind speed, wind direction and acceleration responses were simultaneously and continuously recorded from the tall building by a wind and vibration monitoring system during two typhoons. The typhoon-generated wind characteristics including turbulence intensity, gust factor, peak factor, turbulence integral length scale and power spectral density of fluctuating wind speed were presented and discussed. The dynamic characteristics of the tall building were determined based on the field measurements and compared with those calculated from a 3D finite element model of the building. The measured natural frequencies of the two fundamental sway modes of the building were found to be larger than those calculated. The damping ratios of the building were evaluated by the random decrement technique, which demonstrated amplitude-dependent characteristics. The field measured acceleration responses were compared with wind tunnel test results, which were found to be consistent with the model test data. Finally, the serviceability performance of the super-tall building was assessed based on the field measurement results.

• Earthquakes and Structures
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• 제18권2호
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• pp.163-170
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• 2020

Floor acceleration plays a major role in the seismic design of nonstructural components and equipment supported by structures. Large floor acceleration may cause structural damage to or even collapse of buildings. For precision instruments in high-tech factories, even small floor accelerations can cause considerable damage in this study. Six P-wave parameters, namely the peak measurement of acceleration, peak measurement of velocity, peak measurement of displacement, effective predominant period, integral of squared velocity, and cumulative absolute velocity, were estimated from the first 3 s of a vertical ground acceleration time history. Subsequently, a new predictive algorithm was developed, which utilizes the aforementioned parameters with the floor height and fundamental period of the structure as the new inputs of a support vector regression model. Representative earthquakes, which were recorded by the Structure Strong Earthquake Monitoring System of the Central Weather Bureau in Taiwan from 1992 to 2016, were used to construct the support vector regression model for predicting the peak floor acceleration (PFA) of each floor. The results indicated that the accuracy of the predicted PFA, which was defined as a PFA within a one-level difference from the measured PFA on Taiwan's seismic intensity scale, was 96.96%. The proposed system can be integrated into the existing earthquake early warning system to provide complete protection to life and the economy.

• 천문학회보
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• 제37권2호
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• pp.210.2-210.2
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• 2012

Using Fresnel reflection and Hapke BRDF model with Apollo 10084 soil sample's scattering properties, we constructed a real scale optical lunar model and used it to simulate lunar apparent albedo and moonshine. For Fresnel reflection, the refractive index of $1.68{\pm}0.5$ was used. For Hapke BRDF parameters from BUGs BRDF measurement, the single scattering with w=0.33, hot spot width h=0.017, average phase angle ${\zeta}$=-0.086 and Legendre polynomial coefficients b=0.308, c=0.425 in wavelength 700nm with two types of Henyey-Greenstein phase function was applied. The computation model includes the Sun as a Lambertian scattering sphere, emitting 1.5078 W/m2 at 700nm in wavelength. The Sun and Moon models were then imported into the IRT based radiative transfer computation. The trial simulation of the irradiance levels of moonshine lights shows that they agree well with the ROLO measurement data. We then estimate the lunar apparent albedo to 0.11. The results are to be compared with the measurement data.

• Wind and Structures
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• 제19권3호
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• pp.321-337
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• 2014

This study has developed an Enhanced Remote-Sensing (ERS) scale to improve the accuracy and efficiency of using remote-sensing images of residential building to predict their damage conditions. The new scale, by incorporating multiple damage states observable on remote-sensing imagery, substantially reduces measurement errors and increases the amount of information retained. A ground damage survey was conducted six days after the Joplin EF 5 tornado in 2011. A total of 1,400 one- and two-family residences (FR12) were selected and their damage states were evaluated based on Degree of Damage (DOD) in the Enhanced Fujita (EF) scale. A subsequent remote-sensing survey was performed to rate damages with the ERS scale using high-resolution aerial imagery. Results from Ordinary Least Square regression indicate that ERS-derived damage states could reliably predict the ground level damage with 94% of variance in DOD explained by ERS. The superior performance is mainly because ERS extracts more information. The regression model developed can be used for future rapid assessment of tornado damages. In addition, this study provides strong empirical evidence for the effectiveness of the ERS scale and remote-sensing technology for assessment of damages from tornadoes and other wind events.

• 여성건강간호학회지
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• 제22권3호
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• pp.151-161
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• 2016

Purpose: The purpose of this study was to develop and test the validity and reliability of the Korean version of the Contraceptive Self-efficacy (K-CSE) scale. Methods: The K-CSE scale was developed through forward-backward translation methods. Construct and criterion validity and internal consistency reliability were calculated using SPSS/WIN 21.0. Data were collected from 257 women students from two universities in G city, South Korea. Results: The factor structure of the K-CSE scale showed the cumulative variance as 62.9% in the factor analysis. Factor loading of 13 items on four subscales ranged from .47 to .88. Factors were named as 'initiative of contraceptive use', 'sexual assertiveness', 'refusal of sexual intercourse', and 'autonomic sexual behavior'. Criterion validity compared to the Sexual Autonomy Measurement (SAM) showed significant correlation. Cronbach's ${\alpha}$ for the reliability of each subscale were .50~.82 and .76 for the total scale. Conclusion: The findings of this study demonstrate that the K-CSE scale is a satisfactory valid and reliable scale. Therefore, the CSE scale can be useful in measuring contraceptive self-efficacy among women university students in Korea.

• 보건교육건강증진학회지
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• 제31권5호
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• pp.29-43
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• 2014

Objectives: This study was to develop a reliable and valid instrument measuring the reproductive health promoting behavior of undergraduates. Methods: The initial questionnaires were made of 106 items from four domains through literature review. All questionnaire items were revised by an expert group and a pilot test. Data were collected using the revised initial questionnaire of men's 58 items and female's 64 items from 634 male and 685 female undergraduate students. The collected questionnaires were analyzed by factor analysis using varimax rotation to evaluate the construct validity. Results: According to the gender, two measurement were invented and analysed separately. Four common factors consisting of 'safe sex', 'sexual responsibility', 'genital health management' and 'STD prevention' were discovered in both groups. The 'genital hygiene' factor was added as a female factor. Male students' scale was made up 4 factors 16 items and female students' scale was made up 5 factors 18 items. Cronbach's alpha for male scale was estimated to be .892 and female scale to be .882. Conclusions: This scale will make it possible to measure the level of reproductive health among Korean university students. This scale may be useful for developing effective methods of education as well as policy programs for improving the reproductive health of Korean university students.

• 대한간호학회지
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• 제49권1호
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• pp.14-25
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• 2019

Purpose: This was a methodological study that aimed to develop a measurement scale for aging anxiety among middle-aged women. Methods: In this study, construct factors were extracted, and a conceptual framework was established through an extensive literature review and in-depth interviews with middle-aged women. Under the conceptual framework, 44 preliminary items were constructed, and a preliminary scale of 25 items was completed after two rounds of expert validation and item review. For this study, data were collected from 201 women aged 40~59 years, and the construct validity and reliability of the preliminary scale were verified. Results: To verify the construct validity, exploratory factor analysis was conducted. Four factors containing 19 items were extracted. Concurrent validity of the developed scale was verified with Pearson's correlation analysis. The final scale comprised 4 factors ("Social valueless", "Physical weakness", "Concern about changes in appearance", and "Expectations of old age") and 19 items. The Cronbach's ${\alpha}$ value was .91. Conclusion: The scale for measuring aging anxiety in middle-aged women developed in this study validly reflected the peculiarities of aging anxiety in middle-aged women, who experience many physical, emotional, and social changes. The scale can be said to reflect the cultural background, as it reflected real experiences gained through in-depth interviews with middle-aged women.

• Wind and Structures
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• 제36권6호
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• pp.367-377
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• 2023

This study proposes a few-shot learning model for extrapolating the wind pressure of scaled experiments to full-scale measurements. The proposed ML model can use scaled experimental data and a few full-scale tests to accurately predict the remaining full-scale data points (for new specimens). This model focuses on extrapolating the prediction to different scales while existing approaches are not capable of accurately extrapolating from scaled data to full-scale data in the wind engineering domain. Also, the scaling issue observed in wind tunnel tests can be partially resolved via the proposed approach. The proposed model obtained a low mean-squared error and a high coefficient of determination for the mean and standard deviation wind pressure coefficients of the full-scale dataset. A parametric study is carried out to investigate the influence of the number of selected shots. This technique is the first of its kind as it is the first time an ML model has been used in the wind engineering field to deal with extrapolation in wind performance prediction. With the advantages of the few-shot learning model, physical wind tunnel experiments can be reduced to a great extent. The few-shot learning model yields a robust, efficient, and accurate alternative to extrapolating the prediction performance of structures from various model scales to full-scale.