In this study, the AEB system evaluation simulation was conducted by applying a corrected TTC from 0s to 3s obtained by estimating the road-friction factor and slope applying two scenarios(CCRs and CCRm) that may occur in V2V situation using PC-CrashⓇ, a program used for traffic accident analysis. As a result of two scenarios : At 0.8 of road-friction factor and 0° slope which adapted default model of TTC had longer braking distance so that it crashed. At 0.2 of road-friction factor with corrected TTC slidingly crashed due to slope and braking condition. CCRs and CCRm scenario showed that the maximum slipped distance of the collision avoidance situation was 31.7m, 87.7m. And the collision speed was 35.7km/h at 50km/h and 66.1km/h at 80km/h.

고령운전자의 인지 및 신체 기능 저하로 인한 교통사고 증가는 점점 심각한 사회적 문제가 되고 있으며, 이 로 인해 면허증을 자진하여 반납하는 제도가 운영되고 있으나 보다 객관적인 평가 방법이 필요하다. 본 연 구에서는 다양한 주행 상황에서 발생하는 정적 및 동적 시각 자극에 대하여 운전자의 시각적 행동을 평가 할 수 있는 운전 시뮬레이션 주행 환경과 시나리오를 구현하는 것이 목표이다. 이를 위해 고령운전자의 주 행 특성 분석에 활용된 운전 시뮬레이션 시나리오를 기존의 연구 문헌들로부터 수집하였고, 정적 및 동적으 로 구분된 표적 자극에 따른 텍스트 네트워크 분석을 통해 주행환경과 시나리오를 재분류하였다. 또한, 유 사한 유형의 시나리오들은 보다 발생 빈도가 높고 표적 자극이 다양한 주행환경으로 병합하였다. 연구 결과 로 신호교차로, 비신호 교차로, 왕복 2차로, 왕복 4차로 주행환경에서의 전체 12종의 시나리오로 구성된 운 전 시뮬레이션 콘텐츠가 구현되었다. 신호등, 정차된 차량, 표지판 등으로 구성된 정적 시각 자극과 주행 중 인 차량, 무단 횡단하는 보행자 등의 동적인 시각 자극이 제시되며, 이에 대한 시선 탐색(Visual Detection), 시지각(Visual Perception), 시각운동기능(Visuomotor Function)의 정량적 측정을 통해 운전자의 시각 행동 평가가 이루어진다. 본 연구에서 제안하는 시나리오 구성 방법은 운전 시뮬레이션 콘텐츠를 구현하기 위한 새로운 접근 방식으로써 시각 자극에 따른 운전 능력 검사 환경 구축에 관한 기초 자료로 활용될 수 있을 것으로 기대된다.

This paper aims to develop numerical models for seismically-deficient reinforced concrete columns retrofitted using a fiber-reinforced polymer jacketing system under blast loading scenarios. To accomplish the research goal, a coupling model reproducing blast loads was developed and implemented to the column model. The column model was validated with a past experimental study, and the blast responses were compared to the numerical responses produced by past researchers. The validated modeling method was implemented to the non-retrofitted and retrofitted column models to estimate the effectiveness of the retrofit system. Based on the numerical responses, the retrofit system can significantly reduce the peak dynamic responses under a given blast loading scenario.

Purpose: This study aims to develop a simulation module equipped with scenario-based core nursing skills and test the effects after applying the simulation education based on a developed scenario. Method: This was a nonequivalent control group pre-/posttest design study, and 114 nursing students participated from April 1 to August 30, 2018. The applied scenario-based core nursing skills simulation module was developed in the order of planning, development, application, and evaluation according to the Dick and Carye Model’s program development process. Knowledge, self-efficacy, stress, and nursing practice were measured before and after intervention in two groups: an experimental group that performed a simulation after applying the scenario-based core nursing skills, and a control group that performed a simulation after applying core nursing skills. Results: Knowledge (F=23.19, p<.001), self-efficacy (F=25.83, p<.001), and nursing practice (t=9.51 p<.001) increased in the group that performed a simulation after applying the scenario-based core nursing skills, whereas stress (F=40.41, p<.001) decreased. Conclusion: Various education methods should be applied to increase the education effect of the simulation, Simulation performance can be used as an alternative to improve nursing practice during simulation education.

We aimed to predict the Italian ryegrass (IRG) productivity change of introduced and domestic varieties based on climate factors and identify suitable areas for IRG cultivation using the RCP 8.5 scenario. The minimum mean air temperature in January showed the highest correlation with productivity. The ratio of possible and low productivity areas was high in Gangwondo, and the ratio of suitable and best suitable areas was relatively high in the central and southern regions in the past 30 years. The change in the IRG cultivation area was found to be 26.9% in the best suitable area between 1981–2010 but increased significantly to 88.9% between 2090s. In the IRG suitability comparison classes between domestic and introduced cultivars, the ratio of suitable and best suitable areas was relatively high in the domestic varieties during the past 30 years. However, there is almost no difference between the IRG domestic and introduced varieties in the IRG suitability classes after the 2050s. These results can predict changes in the IRG suitability classes between domestic and introduced cultivars according to the climate change scenario, but there are limitations in accurately predicting the productivity of IRG because the results may vary depending on other environmental factors.