• Journal of the Korea institute for structural maintenance and inspection
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• v.24 no.6
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• pp.102-112
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• 2020

In this study, in order to design a wedge-type anchor that can hold an wide carbon plate with a width of 100 mm or more that can be used in a bridge structure, the mechanical behaviors are evaluated based on the main design variables such as the angle of the wedge and the coefficient of friction between the guide and the wedge. The stress state of the carbon plate was calculated by numerical analysis method for each design variable, and the performance of the anchor in the critical state was evaluated according to the failure criteria for composite material, and the optimal design specifications of the anchor were determined based on numerical results. The performance of the optimally designed anchor was verified through actual experiments, and the results of this study are considered to be useful for the optimal design of the CFRP plate anchor to reinforce large structures.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.6
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• pp.331-345
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• 2021

Virtual testing is considered a major requirement for the safety verification of autonomous driving functions. For virtual testing, both the autonomous vehicle and the driving environment should be modeled appropriately. In particular, a realistic modeling of the perception sensor system such as the one having a camera and radar is important. However, research on modeling to consistently generate realistic perception results is lacking. Therefore, this paper presents a sensor modeling method to provide realistic object detection results in a MILS (Model in the Loop Simulation) environment. First, the key parameters for modeling are defined, and the object detection characteristics of actual cameras and radar sensors are analyzed. Then, the detection characteristics of a sensor modeled in a simulation environment, based on the analysis results, are validated through a correlation coefficient analysis that considers an actual sensor.

• Structural Engineering and Mechanics
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• v.83 no.4
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• pp.515-535
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• 2022

The strength models for fiber-reinforced polymer (FRP)-confined normal strength concrete (NC) cylinders available in the literature have been suggested based on small databases using limited variables of such structural members portraying less accuracy. The artificial neural network (ANN) is an advanced technique for precisely predicting the response of composite structures by considering a large number of parameters. The main objective of the present investigation is to develop an ANN model for the axial strength of FRP-confined NC cylinders using various parameters to give the highest accuracy of the predictions. To secure this aim, a large experimental database of 313 FRP-confined NC cylinders has been constructed from previous research investigations. An evaluation of 33 different empirical strength models has been performed using various statistical parameters (root mean squared error RMSE, mean absolute error MAE, and coefficient of determination R²) over the developed database. Then, a new ANN model using the Group Method of Data Handling (GMDH) has been proposed based on the experimental database that portrayed the highest performance as compared with the previous models with R²=0.92, RMSE=0.27, and MAE=0.33. Therefore, the suggested ANN model can accurately capture the axial strength of FRP-confined NC cylinders that can be used for the further analysis and design of such members in the construction industry.

• Journal of Korean Dental Hygiene Science
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• v.5 no.1
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• pp.1-11
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• 2022

Background: This study aimed to examine the effectiveness of role-play in dental hygiene education by analyzing learners' perceptions and experiences of role-play classes. Methods: Role-play was used as a teaching method to run dental medical communication and practice classes for 31 3rd graders in the Department of Dental Hygiene to investigate the learner's perception of role-play classes, effectiveness of the classes, and learner's perception of the experience. The Mann-Whitney U test was used to analyze the differences in learners' perceptions of the role-play classes according to the main characteristics related to dental health communication education. Results: The correlation coefficient between awareness of dental communication education (4.74 ± 0.35) and awareness of role-play classes (4.44 ± 0.48) was an Rs of 0.634, showing a significant positive correlation (p<0.001). Conclusion: Learners recognized that dental hygiene communication competency is important for dental hygienists. In addition, a strategic teaching design is necessary to reduce the learner's burden on role-play considering the learner's experience, which is perceived as a disadvantage of role-play

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.98-98
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• 2021

동역학파 기반 순간단위도 (Dynamic wave-based Instantaneous Unit Hydrograph)를 이용하여 유역에서의 강우에 의한 유출을 예측하는 기법을 개발하였으며, 국내 실제 자연 유역에 적용하여 기법의 타당성과 적용성을 검증하였다. 본 연구에서 제시한 '동역학파 기반 순간단위도 방법'은 물리기반 수치모형인 동역학파 강우유출모형과 개념적 순간단위도 방법을 결합하여 사용함으로써 물리적으로 정확하면서도 빠르고 안정적으로 강우-유출을 예측하는 것을 목적으로 한다. 유역의 순간단위도는 유역의 지형, 조도계수와 동역학파 강우유출모형인 tRIBS-OFM을 이용하여 계산된 S-수문곡선을 수치적으로 미분함으로써 유도되며, 유도된 순간단위도는 강우강도에 따라 변화하므로 회선적분을 통한 유출수문곡선 예측 시 강우-유출 관계의 비선형성을 고려할 수 있다. 본 연구에서 유도된 순간단위도의 첨두 값과 첨두 발생시간은 강우강도 값과 각각 양과 음의 상관관계를 가졌으며 강우강도 값과 멱 함수 (power function)의 관계를 가졌다. 이는 Paik and Kumar (2004) 등 기존 연구들에서 밝힌 순간단위도의 특성과 일치하였으며, 본 연구에서는 더 나아가 멱함수의 지수를 산정한 후 임의의 강우강도 값에 대응하는 순간단위도를 멱함수 관계를 이용하여 보간할 수 있는 방법을 제시하였다. 실제 유역에 대한 적용은 강원도 인제군에 위치한 내린천 유역을 대상으로 수행하였다. 유역을 여러 개의 소유역으로 분할하여 강우의 공간적 분포를 고려하였으며, 각 소유역에서의 유출량을 동역학파 기반 순간단위도를 이용해 계산한 뒤 물리기반의 하도추적모형을 이용하여 전체 유역에서의 유출수문곡선을 예측했다. 예측된 유출수문곡선을 관측 유출 자료와 비교해본 결과 NSE (Nash-Sutcliffe model efficiency coefficient)가 0.6 이상으로 측정되어 적절히 유출을 예측한 것으로 판단되었다.

• Computers and Concrete
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• v.31 no.2
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• pp.85-95
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• 2023

Natural pozzolans are used as additives in cement to develop more durable and high-performance concrete. Pozzolanic activity index (PAI) is important for assessing the performance of a pozzolan as a binding material and has an important effect on the compressive strength, permeability, and chemical durability of concrete mixtures. However, the determining of the 28 days (short term) and 90 days (long term) PAI of concrete mixtures is a time-consuming process. In this study, to reduce extensive experimental work, it is aimed to predict the short term and long term PAIs as a function of the chemical compositions of various natural pozzolans. For this purpose, the chemical compositions of various natural pozzolans from Central Anatolia were determined with X-ray fluorescence spectroscopy. The mortar samples were prepared with the natural pozzolans and then, the short term and the long term PAIs were calculated based on compressive strength method. The effect of the natural pozzolans' chemical compositions on the short term and the long term PAIs were evaluated and the PAIs were predicted by using multiple linear regression (MLR) and adaptive neuro-fuzzy inference system (ANFIS) model. The prediction model results show that both reactive SiO₂ and SiO₂+Al₂O₃+Fe₂O₃ contents are the most effective parameters on PAI. According to the performance of prediction models determined with metrics such as root mean squared error (RMSE) and coefficient of correlation (R²), ANFIS models are more feasible than the multiple regression model in predicting the 28 days and 90 days pozzolanic activity. Estimation of PAIs based on the chemical component of natural pozzolana with high-performance prediction models is going to make an important contribution to material engineering applications in terms of selection of favorable natural pozzolana and saving time from tedious test processes.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.6C
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• pp.349-358
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• 2008

In performing the reliability analysis for predicting the settlement with time of alluvial clay layer at Kobe airport, the uncertainties of geotechnical properties were examined based on the stochastic and probabilistic theory. By using Terzaghi's consolidation theory as the objective function, the failure probability was normalized based on AFOSM method. As the result of reliability analysis, the occurrence probabilities for the cases of the target settlement of ${\pm}10%,\;{\pm}25%$ of the total settlement from the deterministic analysis were 30~50%, 60%~90%, respectively. Considering that the variation coefficients of input variable are almost similar as those of past researches, the acceptable error range of the total settlement would be expected in the range of 10% of the predicted total settlement. As the result of sensitivity analysis, the factors which affect significantly on the settlement analysis were the uncertainties of the compression coefficient Cc, the pre-consolidation stress Pc, and the prediction model employed. Accordingly, it is very important for the reliable prediction with high reliability to obtain reliable soil properties such as Cc and Pc by performing laboratory tests in which the in-situ stress and strain conditions are properly simulated.

• Korean Journal of Remote Sensing
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• v.39 no.5_2
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• pp.837-847
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• 2023

In this study, we explored a method for assessing the extent of damage caused by chemical substances at an accident site through the use of a vegetation index. Data collection involved the deployment of two different drone types, and the damaged area was determined using photogrammetry technology from the 3D point cloud data. To create a vegetation index image, we utilized spectral band data from a multi-spectral sensor to generate an orthoimage. Subsequently, we conducted statistical analyses of the accident site with respect to the damaged area using a predefined threshold value. The Kappa values for the vegetation index, based on the near-infrared band and the green band, were found to be 0.79 and 0.76, respectively. These results suggest that the vegetation index-based approach for analyzing damage areas can be effectively applied in investigations of chemical accidents.

• Journal of Industrial Convergence
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• v.22 no.4
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• pp.65-73
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• 2024

The purpose of this study was to identify the effect of job resources of hospital workers on presenteeism and to verify the mediating effect of job embeddedness based on this. Participants included 301 hospital workers form hospitals located in B city. Date was collected form July 10 to August 10, 2023. The collected data were analyzed by frequency analysis, descriptive statistics, Pearson's correlation coefficient, Baron and Kenny's three-step hierarchical regression and Sovel's test method using the SPSS 26.0 program. In this study, it was found that there was a correlation between job resources, job embeddedness and presenteeism of hospital workers, job resources and job embeddedness influenced negatively on presenteeism, and it was confirmed that job embeddedness partially mediated in the relationship between job resources and presenteeism. Based on this, in order to reduce presenteeism of hospital workers. it was suggested to improve job integrity by providing sufficient job resources institutionally an administratively and providing continuous educational opportunities.

• Journal of radiological science and technology
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• v.47 no.3
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• pp.175-182
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• 2024

Advanced modeled iterative reconstruction (ADMIRE) represents a repetitive reconstruction method that can adjust strength and kernel, each of which are known to affect computed tomography (CT) image quality. The aim of this study was to quantitatively analyze the noise and spatial resolution of CT images according to ADMIRE control factors. Patient images were obtained by applying ADMIRE strength 2 and 3, and kernel B40 and B59. For quantitative evaluations, the noise level, spatial resolution, and overall image quality were measured using coefficient of variation (COV), edge rise distance (ERD), and natural image quality evaluation (NIQE). The superior values for the average COV, ERD, and NIQE results were obtained for the ADMIRE reconstruction conditions of ADMIRE 2 + B40, ADMIRE 3 + B59, and ADMIRE3 + B59. NIQE, which represents the overall image quality based on no-reference, was about 6.04 when using ADMIRE 3 + B59, showing the best result among the reconstructed image acquisition conditions. The results of this study indicate that the ADMIRE strength and kernel chosen for use in ADMIRE reconstruction have a significant impact on CT image quality. This highlights the importance of adjusting to the control factors in consideration of the clinical environment.