• Journal of the Korea Society of Computer and Information
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• v.26 no.2
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• pp.27-37
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• 2021

In this paper, we propose Automatic detection system of underground pipe which automatically detects underground pipe to help experts. Actual location of underground pipe does not match with blueprint due to various factors such as ground changes over time, construction discrepancies, etc. So, various accidents occur during excavation or just by ageing. Locating underground utilities is done through GPR exploration to prevent these accidents but there are shortage of experts, because GPR data is enormous and takes long time to analyze. In this paper, To analyze 3D GPR data automatically, we use 3D image segmentation, one of deep learning technique, and propose proper data generation algorithm. We also propose data augmentation technique and pre-processing module that are adequate to GPR data. In experiment results, we found the possibility for pipe analysis using image segmentation through our system recorded the performance of F1 score 40.4%.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.2B
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• pp.199-209
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• 2010

A finite element model for analyzing surface water flow was developed. Shallow water equation was discretized and solved by Galerkin and Newton-Raphson method. Triangular or rectangular elements can be mixed together to construct meshes. The algebraic equation was solved by frontal method which is very efficient in finite element problem. The developed model was applied to rectangular meandering channel with two bends and transverse velocities and water depth distributions were examined. High velocity was located near the inner bank at the apexes of the bends and velocity distribution was symmetrical about the centerline at the midsection of two bend and super elevation also occurred. Simulation results showed very good agreement with measured data. Another numerical simulation was carried out in mild, steep, adverse and abrupt bottom change slope and channels with weir. 12 water surface profiles of gradually varied flow were correct in terms of hydraulic interpretation.

• Korean Journal of Legislative Studies
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• v.15 no.1
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• pp.145-176
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• 2009

This paper introduces two concepts, specialization and representation, to evaluate activities of standing committees in Korean Assembly. Previous studies have criticized the committees based on frequent change of committee membership. After analyzing the empirical data of Finance and Economy Committee, it turns out that different from the previous arguments, the committee reaches the high level of activities in the perspective of specialization and representation. Changing of committee membership, after considering direction of the change and period of leaving the committee, is less happened than they are supposed. If voting by proxy or absentee voting were allowed, the frequency of the changing membership would be decreased. Study on Finance and Economy committee reveals that the extent of participation of the committee members is similar to the that of the floor meeting and that the number of participants and hours for each meeting display the characteristics of deliberative democracy of committee. Unanimous decisions outnumber majority ones. Therefore, this paper insists that standing committees in Korean Assembly works much better than what they have been criticized

• Korean Journal of Remote Sensing
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• v.21 no.6
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• pp.445-456
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• 2005

The land surface parameters should be determined with sufficient accuracy, because these play an important role in climate change near the ground. As the surface reflectance presents strong anisotropy, off-nadir viewing results a strong dependency of observations on the Sun - target - sensor geometry. They contribute to the random noise which is produced by surface angular effects. The principal objective of the study is to provide a database of accurate surface reflectance eliminated the angular effects from MODIS 250m reflective channel data over Korea. The MODIS (Moderate Resolution Imaging Spectroradiometer) sensor has provided visible and near infrared channel reflectance at 250m resolution on a daily basis. The successive analytic processing steps were firstly performed on a per-pixel basis to remove cloudy pixels. And for the geometric distortion, the correction process were performed by the nearest neighbor resampling using 2nd-order polynomial obtained from the geolocation information of MODIS Data set. In order to correct the surface anisotropy effects, this paper attempted the semiempirical kernel-driven Bi- directional Reflectance Distribution Function(BRDF) model. The algorithm yields an inversion of the kernel-driven model to the angular components, such as viewing zenith angle, solar zenith angle, viewing azimuth angle, solar azimuth angle from reflectance observed by satellite. First we consider sets of the model observations comprised with a 31-day period to perform the BRDF model. In the next step, Nadir view reflectance normalization is carried out through the modification of the angular components, separated by BRDF model for each spectral band and each pixel. Modeled reflectance values show a good agreement with measured reflectance values and their RMSE(Root Mean Square Error) was totally about 0.01(maximum=0.03). Finally, we provide a normalized surface reflectance database consisted of 36 images for 2001 over Korea.

• Journal of the Korea Society of Computer and Information
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• v.16 no.1
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• pp.153-161
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• 2011

Focusing upon the post-adoption stage of IS, this study reasoned that IS users' personality is one of major influencing factors of continuous IS usage intention and empirically examined how the degree of continuous IS usage intention is variable according to the IS users' personality types classified based on MBTI(Myers Briggs Type Indicator). In order to validate the research model and hypotheses, this study made a field survey of 330 IS users and statistically analysed response data. The results of empirical analyses showed that the intent of continuous IS usage was affected by self-efficacy of IS; and self-efficacy by self-leadership of IS; and self-leadership by IS user' personality type and expectation confirmation. That is, it was found that IS users' personality type and three intervening variables(expectation confirmation, self-leadership and self-efficacy) were significant predictors of the intent of continuous IS usage. This study is thought to be contributive to providing the theoretical basis of finding IS success factors in the post-adoption stage and the practical guideline for effective personnel management relevant to IS implementation.

• Journal of the Korean Chemical Society
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• v.32 no.2
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• pp.135-143
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• 1988

The correlations between chromatographic parameters of monosubstituted benzenes and several physical parameters in reversed phase liquid chromatography were studied. The relationships between retention data and polarity index were investigated by plotting $log(log k'_S/k'_B)$ vs. $P'_S/P'_B$ which were relative retention and relative polarity index of monosubstituted benzenes with respect to benzene, respectively. The linear relationship between relative retention and polarity index was observed for the monosubstituted benzenes having polar group, while in case of those having nonpolar group, the good linearity was observed by combination with relative molecular weight i.e. $(P'_S/P'_B)/(MW_S/MW_B)$. Multivariant regression analysis, $a(P'_S/P'_B)+b(MW_S/MW_B)$+c did not give significantly better correlations compared to single variant analysis, $a[(P'_S/P'_B)/(MW_S/MW_B)]$+c, but multiple stepwise regression analysis was recommended when several physical parameters simultaneously were chosen. The best correlation between retention data for monosubstituted benzenes taken from the literature and substituent constant(${\pi}$), derived from hydrophobic parameter and the first order molecular connectivity index$(^1{\chi}^{\nu})$, was established for methanol/water mobile phase system. The larger the surface coverage of the stationary phase, the higher was the correlation coefficient between these two parameters and retention data.

• Solar Energy
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• v.10 no.3
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• pp.35-45
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• 1990

An analytical equation to estimate the Rankine power cycle efficiency at maximum power for the given mass flow rates of heating and cooling fluids is derived. The accuracy of the result is shown by comparing the analytical values with those calculated one using detailed thermodynamic data. The results indicate that the thermal efficiency at maximum power depends primarily on the initial temperatures of the heating and cooling fluids, and it also depends on the pinch-temperature differences between the working fluid and the heating and cooling fluids. The efficiency at maximum power provides a measure of the power available in a practical Rankine heat engine.

• Journal of Energy Engineering
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• v.25 no.1
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• pp.48-55
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• 2016

The autoignition temperature (AIT) of a material is the lowest temperature at which the material will spontaneously ignite. The AIT is important index for the safe handling of flammable liquids which constitute the solvent mixtures. This study measured the AITs of n-hexanol+p-xylene system by using ASTM E659 apparatus. The AITs of n-hexanol and p-xylene system which constituted binary system were $275^{\circ}C$ and $557^{\circ}C$, respectively. The experimental AITs of n-hexanol+p-xylene system system were a good agreement with the calculated AITs by the proposed equations with a few A.A.D.(average absolute deviation).

• The Journal of the Acoustical Society of Korea
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• v.21 no.8
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• pp.703-707
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• 2002

This paper proposes new method for predicting sound power emitted from the control valve and piping system. The sound power level measurement method using the reverberation chamber is much easy to apply in the field compared to the method using the anechoic chamber. Measured sound power was used to determine the coefficients of the equation predicting sound power level. The noise prediction equation was developed at relative flow coefficient, 0.11. The sound power level predicted is in good agreement with the measured value. Proposed method can be used to express the noise characteristics of the control valves.

• Journal of the Korean Institute of Gas
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• v.20 no.5
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• pp.1-8
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• 2016

The autoignition temperature (AIT) of a substance is the lowest temperature at which the vapor ignites spontaneously from the heat of the environment. The AIT is important index for the safe handling of flammable liquids which constitute the solvent mixtures in the process. This study measured the AITs of n-butanol+p-xylene mixture by using ASTM E659 apparatus. The AITs of n-butanol and p-xylene which constituted binary system were $340^{\circ}C$ and $557^{\circ}C$, respectively. The experimental AITs of n-butanol+p-xylene mixture were a good agreement with the calculated AITs by the proposed equations with a few A.A.D.(average absolute deviation).