• KLA journal
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• v.43 no.5 s.336
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• pp.47-57
• /
• 2002

• Bulletin of Korea Environmental Preservation Association
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• v.7 no.9
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• pp.4-6
• /
• 1985

• 어항어장
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• s.64
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• pp.34-39
• /
• 2003

• Water for future
• /
• v.29 no.3
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• pp.53-59
• /
• 1996

• 베이커리
• /
• no.4 s.309
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• pp.65-70
• /
• 1994

• KOREAN POULTRY JOURNAL
• /
• v.19 no.10 s.216
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• pp.48-52
• /
• 1987

• Tunnel and Underground Space
• /
• v.16 no.4 s.63
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• pp.334-346
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• 2006

The discrete element code in 2-D, PFC2D, has been used as a tool to simulate various phenomena in rock mechanics and rock engineering. However, the code has an disadvantage that procedure to determine micro-parameters, namely properties of particles and contacts is repetitive and time-consuming. In this study, we analyzed the effect of micro-parameters(for generation of a contact-bonded model) on macro-properties(that were measured numerically by uniaxial compressive test). Based on the analysis, also, the time-saving and reliable method was suggested to determine a complete set of micro-parameters. In order to verify the suggested method, numerical specimens were generated in PFC2D for 10 different rock types at home and abroad. By the two trials for each specimen, in the result, the Young's modulus, Poisson's ratio and uniaxial compressive strength could be reproduced with being in relative error by about 5% to the values obtained by laboratory tests.

• The Korean Journal of Applied Statistics
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• v.25 no.1
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• pp.15-27
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• 2012

We have studied the realized variance(RV) of intra-day returns and market microstructure noise based on high-frequency stock transaction data for the four largest companies in terms of market capitalization in the KOSPI. First, non-negligible biases are observed for the RV and for the bias-corrected realized variance($RV_{AC_1}$) which is constructed by adjusting RV for the first order autocorrelation in intra-day returns. Bias is more obvious for the RV and the $RV_{AC_1}$ when intra-day returns are sampled more frequently than every 2 minutes. Transaction Time Sampling(TTS) is shown to be better than Calendar Time Sampling(CTS) in terms of biases of the RV and the $RV_{AC_1}$ for the 4 companies. The analysis reveals that market microstructure noise is temporally dependent. Second, by using the Noise-to-Signal Ratio(NSR), we estimate sampling frequencies that are optimal in terms of the Mean Square Errors(MSE) of the RV and the $RV_{AC_1}$. The optimal sampling frequencies are around 200 for RV and is around 5000 for the $RV_{AC_1}$ for all the four stock prices. For the 6 hour transaction period of the Korean stock trading, these correspond to about 2 minutes and 6 seconds.

• Economic and Environmental Geology
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• v.44 no.4
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• pp.321-327
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• 2011

As a product of geological mapping of the Changamjeom Sheet (1:50,000) located around Misiryeong at a distance towards the west from Sokcho city, a small laccolith of hypabyssal rocks has been geometrically reconstructed to understand the original laccolith shape using structural contour lines of random spot sediments laid on the quartz feldspar porphyry and a schematic cross section. The laccolith age is constrained to ca. $84.4{\pm}1.8$ Ma (SHRIMP). The originated Baekdam sedimentary basin with the lost size has been yielded to 6 km wide and 16 km long.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.48 no.12
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• pp.961-968
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• 2020

In this study, the effective thermal conductivity and elastic modulus of heat-resistant coating materials are analyzed by using micromechanical computational models. Three-dimensional computational models for HfC-coated carbon/carbon composites were created with Simpleware, and finite element analysis was performed. The porosity and thickness changes in the coating layer were taken into account to identify the tendency of effective material properties. In addition, the coupon specimen was produced to compare the thermal conductivity measured by experiments with the one obtained by finite element analysis according to temperature changes, and the analysis results were close to the measured values. This confirms that micromechanical computational analysis is appropriate in the calculation of effective material properties of coating composites.