• The Journal of Engineering Geology
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• v.24 no.2
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• pp.179-189
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• 2014

We analyzed the three-dimensional distribution of micropores and internal structures in both fresh and weathered granite using micro-focus X-ray computed tomography (micro-CT). Results show that the pore radius in fresh granite is mostly in the range of $17-50{\mu}m$, the throat radius is in the range of $5-25{\mu}m$, and the coordination number (CN) of pores is less than 10. In contrast, the pore radius in weathered granite is mostly in the range of $20-80{\mu}m$, the throat radius is in the range of $8-30{\mu}m$, and the CN is less than 12. In general, a positive linear relationship exists between pore radius and CN. In addition, both the size and the density of pores increase with an increasing degree of rock weathering. The size of the throats that connect the pores also increases with an increasing degree of weathering, which induces fracture propagation in rocks. Micro-CT is a powerful and versatile approach for investigating the three-dimensional distributions of pores and fracture structures in rocks, and for quantitatively assessing the degree of pore connectivity.

• Journal of the Society of Naval Architects of Korea
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• v.43 no.5 s.149
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• pp.586-596
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• 2006

A 3-dimensional FDLB model with additional internal degree of freedom is applied for diatomic gases such as air, in which an additional distribution function is introduced. Direct simulations of aero-acoustic by using the applied model and scheme are presented. Speed of sound is correctly recovered. As typical examples, the Aeolian tone emitted by a circular column is successfully simulated even very low Mach number flow. Acoustic pressure fluctuations with the same frequency of the Karman vortex street compared with the pressure fluctuation around a circular column is captured. Full three-dimensional acoustic wave past a compact block like pentagon, furthermore, is also emitted in y direction as dipole like sound.

• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.2
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• pp.231-243
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• 2012

This study examines the characteristics of fat body type males aged 35 to 55 with a BMI rate higher than 25 categorized as mid-degree obesity and high-degree obesity according to the $6^{th}$ Size Korea; in addition, the study provides a sizing system for obese males. The physical characteristics of the obese male appeared to be with a shorter lower body compared to an upper body for a higher degree of obesity. Obesity appeared evenly from chest to thigh circumference compared to a normal group. Especially, their waist measurement, depth, and width were significantly larger as well as the crotch length (natural indentation) and a larger waist measurement. As for the cloth sizing system, this study suggests the sizes with higher distribution among the designated size intervals of casual tops, men's suit tops and bottoms based on standard stature, chest size and waist circumference (Omphalion) by KS.

• Journal of Korea Society of Industrial Information Systems
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• v.9 no.3
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• pp.11-18
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• 2004

It is making researches in questions selection method for examination in web-based education system. Most questions made for these remote examinations use methods of making questions using fixed questions or randomly using item pools or automatically using degree of difficulty. This paper proposes a new examination questions selection algorithm in web-based education system for engineer test. Generally, Engineer test is characterized by adequate examination questions selection for degree of difficulty and equally between all units. Therefore this algorithm selected examination questions equally well as regards degree of difficulty and distribution between all units. This algorithm providers more effective education examination method as compared with previous algorithm.

• Journal of Environmental Impact Assessment
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• v.16 no.6
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• pp.485-494
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• 2007

Air pollution and traffic noise from roads distributed near residential area has been a major social problem. In this study, an environmental pollution map for a residential area of Shihung-city was made by an expectation model based on hourly traffic volume change. Using the result from the model, a plan to reduce population in the residential area was established. The result of the modelling is summarized as follows: 1. At peak traffic hours (18 o'clock), 301-500 degree in hazardous and $d_{25}$ degree (25% of the residents are suffering extremely from the noise) in noise pollution were predicted in Jeongwang Main Road in Shihung city. 2. The calculated critical pollutant standard index, PSI showed the air pollution level, especially PM-10 high enough to require re-entrainment. 3. It was expected air pollution would extensively extend over the area distribution of each degree. However, noise pollution problem was limited to the area near roads.

• Journal of KIISE
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• v.44 no.8
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• pp.842-853
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• 2017

Streaming data is a sequence of data samples that are consistently generated over time. The data distribution or concept can change over time, and this change becomes a factor to reduce the performance of a classification model. Adaptive incremental learning can maintain the classification performance by updating the current classification model with the weight adjusted according to the degree of concept drift. However, selecting the proper weight value depending on the degree of concept drift is difficult. In this paper, we propose a dynamic ensemble method based on adaptive weight adjustment according to the degree of concept drift. Experimental results demonstrate that the proposed method shows higher performance than the other compared methods.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.1
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• pp.291-299
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• 2020

The purpose of this study focuses on finding the influences of social capital on personal happiness by studying service industry employees. This current study utilized a questionnaire survey method which was used to collect the analysis data, from July 20 to August 10 in 2019. 281 questionnaires were gathered in Korea and the statistical analysis was conducted. This study recognized social capital as 3 independent variables and personal happiness as a dependent variable. Social capital is composed of the social network, social trust and social norms. First, the social network consisted of the satisfaction degree in one's social relations and the social interaction degree. Second, social trust is composed of the trust degree with ones neighbors in the same local area. Last, social norms are consisted of reciprocity, participation and a sense of belonging one feels in the same society. The findings of this study were as follows: first, it was found that social network, social trust, and social norms made affirmative influences on personal happiness of the employees. Second, the social network and social norms made statistically significant influences with personal happiness, but social trust was shown to not have similar influence.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.19 no.2
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• pp.162-168
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• 2006

Recently, diagnosis techniques have been investigated to detect a Partial Discharge associated with a dielectric material defect in a high voltage electrical apparatus, However, the properties of detection technique of Partial Discharge aren't completely understood because the physical process of Partial Discharge. Therefore, this paper analyzes the process on surface discharge of polymer insulator using wavelet transform. Wavelet transform provides a direct quantitative measure of spectral content in the time~frequency domain. As it is important to develop a non-contact method for detecting the kaolin contamination degree, this research analyzes the electromagnetic waves emitted from Partial Discharge using wavelet transform. This result experimentally shows the process of Partial Discharge as a two-dimensional distribution in the time-frequency domain. Feature extraction parameter namely, maximum and average of wavelet coefficients values, wavelet coefficients value at the point of $95\%$ in a histogram and number of maximum wavelet coefficient have used electromagnetic wave signals as input signals in the preprocessing process of neural networks in order to identify kaolin contamination rates. As result, root sum square error was produced by the test with a learning of neural networks obtained 0.00828.

• Korean Journal of Occupational Health Nursing
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• v.9 no.2
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• pp.155-165
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• 2000

This study is to grope for a plan to increase nurse's autonomy by grasping autonomy degree according to nursing delivery system. The subject of this study are 265 nurses who work for 4 general hospitals in Seoul, and 73 of them work in primary nursing delivery system, 99 of them in team nursing delivery system and 93 of them in functional nursing delivery system. Data collection was done through questionaires from Sep. 1, 1997 to Sep. 30, 1997, and autonomy was measured by Professional Nursing Autonomy Scale developed by Schutzonhofer. Data analysis as inspected with $X^2$ test, ANOVA, and t-test, using SPSS program. The results are as follows : 1. When it comes to the autonomy of all the nurses, mean score was 161.99. Which is medium level, and autonomy degree according to nursing delivery system had no significant differences. 2. There was a significant difference in autonomy degree according to inservice education among the subject's work-related characteristics, and there was no significant difference in autonomy distribution in each grade according to general characteristics although older group, married group, and junior college graduates group showed rather higher trends. 3. Considering each item, questions related to direct nursing such as "Vital sign monitoring", "Nursing rounding", "Withhold contraindicated drug", showed high score in autonomy scores, and long-term and indirect nursing behaviors such as "Nursing administration", "Nursing research", "Follow-up care" and "Educational planning".

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2004.11a
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• pp.662-665
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• 2004

Recently, diagnosis techniques have been investigated to detect a partial discharge associated with a dielectric material defect in a high-voltage electrical apparatus However, the properties of detection technique of PD aren't completely understood because the physical process of PD. Therefore, this paper analyzes the process on Surface Discharge of Polymer Insulator using Wavelet transform. Wavelet transform provides a direct quantitative measure of spectral content in the time-frequency domain. As it is important to develop a non-contact method for detecting the Contamination Degree, this paper analyzes the electromagnetic waves emitted from PD using Wavelet transform. This paper experimentally shows the process of PD as a two-dimensional distribution in the time-frequency domain. This method is shown to be useful for detecting prediction of contamination degree.