• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.2
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• pp.529-536
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• 2013

The semi-distributed rainfall runoff model of SWAT is applied to the Seom-river experimental watershed. The simulations of various antecedent periods before the targeted simulation periods of 2002 to 2009 are not necessary despite of the slight appearance of corresponding changes in simulated total runoff. The simulated results of total runoff by using various numbers of soil layer maps have little differentiated nevertheless the slight changes in simulated results have been appeared. The 7 parameters of CANMX, $CN_2$, ESCO, GW_REVAP, SOL_ALB, SOL_AWC, and SOL_K greatly govern the rainfall runoff are confirmed and their sensitivity analyses have been carried out. The optimal parameters used in SWAT are derived by SUFI-2 of SWAT-CUP. The NS and $R^2$ are 0.99 and 0.98, respectively which is shown the good agreement between the observed and the simulated results. The uncertainty factors of P-factor and R-factor are 0.85 and 0.06, respectively which is also shown the high efficiency of the model. The high applicability is also shown with improving the RMSE in SWAT model simulation using the parameters estimated by SUFI-2 of SWAT-CUP.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.3
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• pp.77-90
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• 2018

Software Defect Prediction (SDP) is a field of study that identifies defective modules. With insufficient local data, a company can exploit Cross-Project Defect Prediction (CPDP), a way to build a classifier using dataset collected from other companies. Most machine learning algorithms for SDP have used more than one parameter that significantly affects prediction performance depending on different values. The objective of this study is to propose a parameter selection technique to enhance the performance of CPDP. Using a Harmony Search algorithm (HS), our approach tunes parameters of cost-sensitive boosting, a method to tackle class imbalance causing the difficulty of prediction. According to distributional characteristics, parameter ranges and constraint rules between parameters are defined and applied to HS. The proposed approach is compared with three CPDP methods and a Within-Project Defect Prediction (WPDP) method over fifteen target projects. The experimental results indicate that the proposed model outperforms the other CPDP methods in the context of class imbalance. Unlike the previous researches showing high probability of false alarm or low probability of detection, our approach provides acceptable high PD and low PF while providing high overall performance. It also provides similar performance compared with WPDP.

• Management & Information Systems Review
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• v.39 no.1
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• pp.15-34
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• 2020

The purpose of this study was to investigate the effects of social face sensitivity on impulse buying tendency and satisfaction. This study was also to investigate the effects on the mediating effects of the impulse buying tendency in the relationship between social face sensitivity and satisfaction. For this purpose, this study was conducted to 266 subjects living in Busan, Korea. And the data was analyzed by SPSS 22 and Amos 25. The results of the study were as follows. First, others conscious social face and formality social face were related to impulse buying tendency. However, shame conscious social face was partially related to impulse buying tendency. Second, suggestion impulse buying and reminder impulse buying had significant effect on satisfaction, however stimulus impulse buying and pure impulse buying had not significant effect on satisfaction. Third, the empirical results showed others conscious social face had significant positive effect on satisfaction. But, formality social face and shame conscious social face have not significant effect on satisfaction. Finally, this study also found the mediating effects of the suggestion impulse buying and reminder impulse buying in the relation between others conscious social face and satisfaction. Based on the empirical results, implications focused on the social face sensitivity, impulse buying tendency and satisfaction were discussed.

• Nuclear Engineering and Technology
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• v.7 no.2
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• pp.119-126
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• 1975

On the assumption that the spectral distribution of prompt fission neutrons released from supercritical accidents can be expressed by the generalized Cranberg form with two spectral parameters, which is then transformed into the single parameter form, a variation of the fission spectrum-averaged cross-sections for some threshold reactions with varying the spectral parameter has teen calculated using an electronic computer. It appears that the average cross-sections are very sensitive to the spectral deformation, especially those for the detectors having the threshold at high neutron energy are high compared to those for the detectors of which the threshold energies are comparatively low.

• Journal of the Korean earth science society
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• v.34 no.6
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• pp.507-514
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• 2013

Recent reports about Mt. Baekdusan indicate an increasing potential of lahar generation due to volcanic activity around Lake Cheonji. In this study, we model lahar assuming volcanic activity underneath the caldera located at the top of Mt. Baekdusan. Lahar-inundation hazard zones (LAHARZ), software that runs within a Geographic Information System (GIS), was used for lahar modeling in various conditions of digital terrain resolution and model parameters. The sensitivity analysis of model parameters shows that both sink threshold and terrain resolution have limited impact on the modeling result. Combinations of stream threshold and resolution indicate distinctive distributions in stream delineation. The limitations of LAHARZ seem to largely be associated with the assumption of an existing flow generation algorithm. However, the impact of different resolutions on the final lahar extent was found to be small.

• Journal of the Korean Geotechnical Society
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• v.32 no.8
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• pp.35-46
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• 2016

In this study, a sensitivity analysis was carried out by using numerical analysis under the consideration that it is difficult to analyze the behavior of real piled raft foundations on different ground conditions through a real scale test. The program used for numerical analysis is FLAC 3D based on the finite difference method. Piles were modelled by using pile element that is one of the structure elements of FLAC 3D and the ground and raft were modelled by using continuum element. With a fixed pile arrangement of $3{\times}3$, the diameter, length, space of piles, and ground conditions were selected as sensitivity parameters and their mutual correlation were investigated. As a result, the bigger and longer pile diameter, length and pile space are, the bigger the bearing capacity of the piled raft becomes. When pile space exceeded a specific value, however, the piled raft foundation behaved like a shallow foundation supported by only a raft. Also it can be confirmed that the better ground conditions are, the more total bearing capacity of the piled raft foundation increases.

• Journal of Korean Society for Geospatial Information Science
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• v.15 no.2 s.40
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• pp.33-42
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• 2007

A physical-based aggregation method was suggested to estimate surface roughness, which adequately represents the spatial heterogeneity of vegetation factors, from land cover property obtained from the remote sensing data. For the sensitivity analysis of surface roughness, the peak flow, peak time, and total volume were simulated by the NWS-PC. Effects of surface roughness estimated by three different integration methods (predominant, arithmetic mean, and aggregation approach) on the conceptual rainfall-runoff model parameters was analyzed. In the preliminary sensitivity test to surface roughness, the peak time had 10% variation and total volume had 2% variation. The peak time increased with surface roughness. A physical-based aggregation method was better than the existing method in the Soyanggang Dam basin for the results of STDEV, RMSE, NSE, and PME, but difference between them were small. The parameters related on the total baseflow were changed significantly with change of the surface roughness.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.28 no.1
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• pp.53-62
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• 2016

Extreme wind speeds at four sites including Mokpo, Gunsan, Incheon and Jeju near the Western Coast have been estimated with a tool of Monte Carlo simulation and typhoon data. Results of sensitivity analysis show that closeness between distance to the eye and the radius to maximum wind is most sensitive. While location angle and pressure deficit are sensitive too, but translation velocity is not. A standard typhoon, which results in extreme wind speeds having various return period, can be constructed by combination of parameter informations of each site. Then, with a numerical modelling of the typhoon, extreme surge heights having the same return period can also be obtained. To be added, by analysing the data which only including those based on navigable semicircle, it is possible to produce a standard typhoon which could result in setting-down of sea level.

• Journal of the Korean Institute of Gas
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• v.2 no.3
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• pp.25-36
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• 1998

Explosion and fires can occur in all segments of chemical and petroleum industries because of complexity of process, usage and storage of flammable and reactive chemicals, and operating conditions of high pressure and temperatures. Especially chemical plants have high possibility of the occurrence of BLEVE(Boiling Liquid Expanding Vapor Explosion)and Fireball. In this study, a computer program was developed for the effect assessment of BLEVE and Fireball. BLEVE was analysed by three explosion models of physical explosion model, isothermal expansion model and adiabatic expansion model and Fireball using solid model. The parametric sensitivity analysis has been done for the models of BLEVE and Fireball. The damage by BLEVE and Fireball of Benzene and Toluene and m-Xylene were estimated.

• Proceedings of the Korea Water Resources Association Conference
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• 2004.05b
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• pp.863-869
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• 2004

댐의 수리${\cdot}$수문학적 월류 확률 추정시에 가장 민감한 불확실성 변량은 댐의 초기수위라 할 수 있으며, 특히 자료의 특성을 충분히 반영하고 댐마루(dam crest)의 높이를 초과하지 않으면서 경계를 갖는 분포형을 추정하는 것은 무엇보다 중요하다. 그러나 기존의 매개변수적 확률분포 추정방법으로 이러한 문제점을 적절히 반영할 수 없으며 통계특성을 반영하지 못하고 이상화시키는 단점이 있다. 이러한 문제점을 보완하기 위해서 비매개변수적 핵밀도함수 방법과 Bootstrap 기법을 적용하여 수위의 신뢰구간을 추정하였다. 연 최대치 자료를 이용한 비매개변수적 핵밀도함수 기법을 이용한 해석결과에서는 댐의 설계빈도를 상회하는 비교적 큰 위험도 나타냈으며 홍수기의 평상수위고 가정하는 Bootstrap Resampling을 적용한 위험도는 5.11E-06의 간을 나타났다. 가장 극심한 기상상태를 가정한 해석 결과인 1.1972E-03은 본 댐은 여수로의 설계빈도가 1,000년 빈도로서 설계당시보다 확률수문량이 크게 증가된 현재 여수로 방류능력 및 안전성 상태로 고려해보면 적당한 위험도 값으로 추정된다.