• The Journal of the Korea Contents Association
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• v.15 no.11
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• pp.250-262
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• 2015

The purpose of this study was to investigate the mediating and moderating effects of organizational citizenship behavior on the relationship between nursing performance and turnover intention. Data were collected from 439 nurses in 3 tertiary hospitals and 2 secondary hospitals and analyzed by PASW 18.0 and AMOS 18.0. The findings were as follows. The correlation coefficients of the study variables were all statistically significant. The organizational citizenship behavior showed mediating effects between the nursing performance and turnover intention. On the other hand, organizational citizenship behavior did not have moderating effects. Various strategies that are purposed to enhancing organizational citizenship behavior among nurses should be developed to reduce turnover intention of nurse who have high nursing performance.

• Nuclear Engineering and Technology
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• v.26 no.3
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• pp.401-410
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• 1994

Validation study of two radionuclide migration models for single fracture developed in geologic medium the hydrodynamic dispersion diffusion model(HDDM) and the channeling dispersion diffusion model(CDDM), was studied by migration experiment of tracers through an artificial granite fracture on the labolatory scale. The tracers used were Uranine and Sodium lignosulfonate know as nonsorbing material. The flow rate ranged 0.4 to 1.5 cc/min. Related parameters for the models were estimated by optimization technique. Theoretical breakthrough curves with experimental data were compared. In the experiment, it was deduced that the surface sorption for both tracers did not play an important role while the diffusion of Uranine into the rock matrix turned out to be an important mass transfer mechanism. The parameter characterizing the rock matrix diffusion of each model agreed well The simulated result showed that the amount of flow rate could not tell the CDDM from the HDDM quantitatively. On the other hand, the variation of fracture length gave influence on the two models in a different degree. The dispersivity of breakthrough curve of the CDDM was more amplified than that of the CDDM when the fracture length was increased. A good agreement between the models and experimental data gave a confirmation that both models were very useful in predicting the migration system through a single fracture.

• Journal of Korean Society of Steel Construction
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• v.24 no.1
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• pp.119-128
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• 2012

In this study, experimental vibration tests are performed on a real full-scale railway steel plate girder bridge, which resides in open-space environments. Using experimental modal analysis techniques, the modal parameters of the railway steel plate girder bridge yielded by the modal testing of the impact hammer are compared and investigated with the natural frequencies and mode shapes obtained by finite element analysis. This work focuses on the application of model updating techniques to measured experimental data and output-only data from an analytical vibration study that takes into account various geometric and material properties of the bridge members. A finite element model of the railway bridge structure is used to verify the modal experimental results. It is subsequently updated using the corresponding modal identification technique. The basic database is provided to evaluate damage, which can be determined based on the changes in the element properties, resulting from the process of updating the finite element model benchmark and experimental data.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.38 no.9
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• pp.979-988
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• 2014

Recently, the interest in the thermal comfort is ever increasing as the time people stay in the automobile is gradually increasing. So far, however, the cooling performance of the HVAC(heating and ventilation air conditioning) system is evaluated by thermal environment criteria such as indoor air velocity and temperature, not by a thermal comfort index. Furthermore, the precise criteria has not been established yet when the thermal comfort for the automobile is evaluated using numerical analysis. In this study, the numerical analysis of automobile indoor thermal comfort according to various parameters such as HVAC operating mode, airflow, passenger boarding conditions is performed during the HVAC system's initial operating time(20 minutes). The solar ray tracing model and S2S radiation model are used and validated to simulate an external heat source. Based on this study, an evaluation model which can predict the thermal comfort index for the combination of the above parameters is presented.

• Journal of Korean Society of Environmental Engineers
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• v.27 no.10
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• pp.1043-1051
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• 2005

In this stduy, adsorption and transport characteristics of Fe in the soil were investigated using convection-dispersion local equilibrium sorption model and two-site non-equilibrium sorption model. In batch experiments with different Fe concentration, characteristics of Fe adsorption was investigated using Freundlich and linear isotherm. Column experiments with different flow rate, organic matter content md Fe concentration were also carried out. We measured Fe concentrations in injection-liquid and in effluent, and then applied them to CXTFIT program. As a result of column experiments, some parameters(D, R, ${\beta}$, ${\omega}$) used in two-site non-equilibrium adsorption model were obtained. Characteristics of Fe transport were analyzed using the parameters(D, R, ${\beta}$, ${\omega}$) obtained from the CXTFIT program, Consequently, characteristics of Fe transport in the soil were predicted through two-site non-equilibrium adsorption model.

• Korean Journal of Construction Engineering and Management
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• v.12 no.1
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• pp.73-84
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• 2011

This study represents construction progress management model based on quality inspection process in addition to cost-schedule integration. Quality inspection process cycle, resource estimate as progress measurement parameter, hierarchical structure of schedule, and inspection lots linking quality inspection to resource estimate are addressed as four main information areas. The authors established several process models to give a structure and correlations among information elements on each of these areas. Applying the process models proposed, an information system was implemented and utilized for nuclear power plant construction. It reveals that the system achieves accurate and objective progress information in near real time with significantly reduced time and effort as well as administrative efficiencies from making quality inspection process online.

• Journal of the Korean Geographical Society
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• v.44 no.4
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• pp.557-576
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• 2009

Physical based water balance model had better simulation results than conceptial model, however it is difficult to obtain input data for the model. This study suggests some methods to obtain parameter values of BROOK90 from meteorological data, soil map, land-use map. Comparing measured and simulated discharge proved the methods to be valid. For validation model($2001{\sim}2003$), comparing measured and simulated discharge a daily mean bias error, Nash-Sutcliffe's model efficiency coefficient, coefficient of determination equal to -0.517, 0.87 and 0.89 respectively. The results of this study would be helpful to the hydrological study using physical based hydrological model not only in super site but in other catchments.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.149-149
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• 2023

미세플라스틱은 입자크기가 5 mm 이하인 플라스틱으로 정의되며, 수계로 유입된 미세플라스틱은 내분비계 교란물질로 작용하여 생태계에 환경독성을 유발하고 오염물질을 흡착·운반할 수 있는 독성 물질의 매개체로서 미세플라스틱의 위해성에 대한 우려가 증가하고 있다. 본 연구는 수용액에서 다양한 미세플라스틱의 납(Pb) 흡착특성을 평가하고 미세플라스틱의 비표면적에 따른 흡착 효과를 비교하고자 하였다. 플라스틱 종류 중 HDPE (High-density Polyethylene)와 PVC (Polyvinyl Chloride)를 각각 세 가지 크기(Group 1: 2.5 mm - 1.0 mm, Group 2: 1.0 mm - 0.3 mm, Group 3: < 0.3 mm)로 제조하여 분류하였으며, 미세플라스틱 입자크기의 비표면적은 BET(Brunauer, Emmett, Teller)분석을 통하여 측정하였다. 담수환경 조성을 위해 pH 7로 조절한 Pb 용액의 농도(0, 0.5, 1, 5, 10, 30 mg/L)별 흡착실험을 수행하였으며 실험결과를 3가지 흡착등온식(Langmuir, Freundlich, Sips 모델)을 사용하여 미세플라스틱에서 Pb 흡착 거동을 나타내었다. BET 분석 측정결과, PVC의 경우 Group 3 > Group 2 > Group 1 순으로 PVC의 입자크기가 작을수록 비표면적이 크게 나타났으며, HDPE 비표면적 또한 비슷한 경향을 보였다. HDPE와 PVC에서 Pb의 흡착은 Langmuir 모델(R² > 0.97)과 Freundlich 모델(R² > 0.82)보다 Sips 모델(R² > 0.98)이 흡착 거동을 설명하기에 가장 적합하였다. 최대흡착능(Q_m) 상수는 입자크기가 작아질수록 흡착능이 높아지는 추세를 보였으며, 흡착세기(K_F)와 흡착강도(n^-1)는 각 플라스틱의 Group 3(HDPE K_F = 0.028, PVC K_F = 0.032; HDPE n^-1 = 0.225, PVC n^-1 = 0.547)에서 가장 높게 나타났다. 본 연구를 통해 HDPE와 PVC에서 Pb의 흡착특성은 Sips모델로 설명이 가능했으며, 이에 따라 Pb 흡착과정에 복수의 흡착메커니즘이 작용하고 있음을 유추해볼 수 있었다. 미세플라스틱의 입자크기와 비표면적이 Pb 흡착량에 영향을 미치는 것을 알 수 있었으며, 미세플라스틱이 중금속을 흡착하여 생물체 내로 전이시킬 수 있는 매개체 역할의 가능성을 확인하였다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.1A
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• pp.85-93
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• 2009

The primary objective of this study is to construct more simple and reasonable rheological model and propose a methodology for predicting a phenomenon of concrete creep. Deformations of concrete under sustained stress can be expressed by the sum of immediately elastic deformation, time-dependent and time-independent short-term creep, and long-term creep according to the mechanism and time-dependency. To simulate these deformations, a rheological model having six parameters was constructed. In the composing of each parameter, the microprestress-solidification theory and design model code were incorporated together with the numerical approach for the components which can not be theoretically approached. Finally, actual test data were applied in the verification of the proposed model, and suitability of the model was confirmed by comparisons with existing predicting models and design codes.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.31-34
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• 2024

태양광 에너지는 탄소 중립 이행을 위한 주요 방안으로 많은 주목을 받고 있다. 태양광 발전량은 여러 환경적 요인에 따라 크게 달라질 수 있으므로, 정확한 발전량 예측은 전력 네트워크의 안정성과 효율적인 에너지 관리에 근본적으로 중요하다. 대표적인 인공지능 기술인 신경망(Neural Network)은 불안정한 환경 변수와 복잡한 상호작용을 효과적으로 학습할 수 있어 태양광 발전량 예측에서 우수한 성능을 도출하였다. 하지만, 신경망은 모델의 구조나 초매개변수(Hyperparameter)를 최적화하는 것은 복잡하고 시간이 많이 드는 작업이므로, 에너지 분야에서 실제 산업 적용에 한계가 존재한다. 본 논문은 2단계 신경망 최적화를 통한 태양광 발전량 예측 기법을 제안한다. 먼저, 태양광 발전량 데이터 셋을 훈련 집합과 평가 집합으로 분할한다. 훈련 집합에서, 각기 다른 은닉층의 개수로 구성된 여러 신경망 모델을 구성하고, 모델별로 Optuna를 적용하여 최적의 초매개변숫값을 선정한다. 다음으로, 은닉층별 최적화된 신경망 모델을 이용해 훈련과 평가 집합에서는 각각 5겹 교차검증을 적용한 발전량 추정값과 예측값을 출력한다. 마지막으로, 스태킹 앙상블 방식을 채택해 기본 초매개변숫값으로 설정해도 우수한 성능을 도출하는 랜덤 포레스트를 이용하여 추정값을 학습하고, 평가 집합의 예측값을 입력으로 받아 최종 태양광 발전량을 예측한다. 인천 지역으로 실험한 결과, 제안한 방식은 모델링이 간편할 뿐만 아니라 여러 신경망 모델보다 우수한 예측 성능을 도출하였으며, 이를 바탕으로 국내 에너지 산업에 이바지할 수 있을 것으로 기대한다.