Purpose: This study verified the effects of simulation-based communication education on the problem-solving process, communication self-efficacy, and communication ability of nursing college students. Methods: As an experimental study of single-group pre- and post-design, data were collected from April 12 to June 18, 2021, using a self-report questionnaire from 55 Year 4 nursing college students in city D. The collected data were analyzed in terms of frequency, paired t-test, and Pearson's correlation coefficients using the SPSS/WIN 23.0 program. Results: Our findings indicated that there were significant differences between the problem-solving process (t=-20.54, p<.001), communication self-efficacy (t=-15.31, p<.001), and communication ability (t=-3.62, p=.001) in communication before and after simulation-based communication education. Following simulation-based communication education, the communication ability of nursing students was evaluated through the problem-solving process (r=.46, p<.01), self-efficacy in communication (r=.37, p<.01), and problem-solving process by a doctor. Furthermore, it was found that there was a significant positive correlation with communication self-efficacy (r=.16, p<.01). Conclusion: It can be expected that the simulation -based communication education will improve nursing students’ problem-solving process, communication self-efficacy, and communication ability and thus contribute to high-quality nursing in related clinical situations. In addition, for a more effective communication education, research that could develop various scenarios in the clinical field and verify the effectiveness is required.

Purpose: This study aims to investigate the effect of a simulation-based patient safety performance improvement education program on caregivers’ knowledge, attitude, and performance toward safety. Methods: This study adopted a quasi-experimental design that applied before-and-after designs for the test and control groups. It was configured focusing on “infectious disease,” “fires,” “falls,” and “drug abuse.” Results: There was a significant difference in knowledge and patient safety performance between the experimental group and the control group. However, there was no significant difference in attitudes toward safety. Conclusion: The results of this study showed that the simulation-based patient safety performance improvement education program is effective in improving patient safety performance. Therefore, it is necessary to continuously apply and evaluate the simulation-based patient safety performance training program to enable caregivers to develop professional prevention and management capabilities within elderly care facilities

Purpose: This study aimed to identify research trends by applying the scoping studies method to articles published from the establishment of the Korean Society for Nursing Simulation in 2011 to June 2021, and to suggest the direction for future research. Method: A total of 73 articles were reviewed by applying the six steps and recommendations for scoping studies as suggested by Arksey and O'Malley. Results: Focusing on the subjects, research topics were classified comprehensively into the experience of nursing students, nurses, professors, and office workers. As a result of analyzing the research process characteristics, practical teaching and learning using simulation technology resources were conducted during most of the research, and a systematic curriculum for learning promotion was devised and applied. Furthermore, nursing performance ability was evaluated, learning situation was identified, and simulation education situation and necessity of clinical field were identified. The keywords “applied technology,” “teaching-learning method,” “environment,” “cognition,” “attitude,” “affect,” “patient status,” “nursing,” and “nursing performance” were identified as eight categories. Conclusion: The post-coronavirus era has provided an opportunity to expand the scope of Korean nursing simulation research, which is going to further contribute to nursing development.

목적: Gullstrand 모형안에서 색수차를 이론적으로 산출하였으며, 3D 시뮬레이션을 통해 확인하였고, 두 결과를 서로 비교하고자 했다. 방법 : 이론적 색수차는 Mathematica 12.3.1(Wolfram Research, USA)를 통해 산출하였으며, Gullstrand 모형안의 3D 구현은 Ansys SPEOS Ver. 2012(ANSYS Inc, USA)를 이용하였고, 가시광선 영역의 파장에서 노 란색( =586.700  ), 파란색( =486.100  ) 및 빨간색( =656.300  ) 광선의 종색수차와 횡색수차를 측정하였다. 결과 : 이론적 및 모의적인 방법 모두에서 입사광선의 높이가 증가하고, 파장이 짧아질수록 모형안을 통과한 광선의 초점거리는 감소하는 것으로 나타났다. 모형안의 중심부에서 주변부로 갈수록 종색수차는 미세하게 감소하 였으나, 횡색수차는 증가하는 것으로 나타났다. 결론 : 이론적 및 모의적인 방법으로 확인한 색수차는 거의 유사한 추의를 보였으나, 매우 미세한 차이가 발견 되었다. 색수차의 다양한 특성을 파악하기 위해서는 모형안에서 조절이나 굴절이상과 같은 조건의 정밀한 모델링 이 반영된 후속 연구가 필요할 것으로 판단된다.

본 논문은 CFD 해석법을 이용한 단일선체 및 이중선체 선박의 손상에 따른 기름 유출량 추정 결과를 소개한다. 수치해석 기법 으로 다상유동 해석법을 사용하고 기름 유출 유동에 대한 다양한 수치해석적 조건의 변화에 대한 영향을 조사하였다. 좌초 또는 충돌에 의한 다양한 손상 조건에서의 기름 유출량의 변화를 해석하였으며 실험 결과를 통해 검증하였다. 본 논문의 수치해석 결과는 단일선체와 이중선체의 기하학적 특성을 따라 실험 결과와 잘 일치하였다. 특별히 물과 기름의 복잡한 상호작용이 나타나는 이중선체의 기름 유출 상황도 실험과 동일하게 타당하게 예측하였다. 본 연구를 통해 사고 선박의 기름 유출량 추정에 필요한 CFD기법을 정립할 수 있었다.

본 연구는 가상 시뮬레이션기반 노인간호 실습교육 실시 후 간호대학생의 몰입경험과 학습역량 이 학습만족도에 미치는 영향을 파악하기 위한 조사연구이다. 연구 대상자는 간호대학 학생 72명을 대상으 로 하였고, 자료수집은 2021년 4월 2일부터 5월 7일까지 온라인 설문을 통해 수행하였다. 자료분석은 SPSS/WIN 24.0을 이용하여 기술통계, 상관관계 및 다중회귀분석을 사용하였다. 연구결과, 가상 시뮬레이 션 교육 후 간호대학생의 학습만족도는 몰입경험(r=.656, p<.001), 학습역량(r=.672, p<.001)과 유의한 정 적 상관관계를 보였다. 학습만족도에 가장 영향력이 있는 요인은 학습역량(β=.459, p<.001), 몰입경험(β =.413, p<.001)으로 나타났으며 모형의 설명력은 60.9%이었다. 그러므로 가상 시뮬레이션 교육 후 학습만 족도를 향상시키기 위해서 실습에 대한 몰입을 촉진하고 개개인의 학습역량을 향상시킬 수 있는 방안들을 개발할 것을 제언한다.

PURPOSES : This study aimed to develop data conversion of NGII HD maps to OpenDRIVE format for virtual road implementation for autonomous-driving verification. METHODS : A method of defining the reference line of OpenDRIVE on the centerline of an NGII HD map is proposed. According to the construction characteristics of the NGII HD map, the optimal conversion method through parametric cubic polynomials was used in the form of piecewise and clamped cubic polynomials. RESULTS : The study focused on curved roads that may cause problems when converting HD map data into OpenDRIVE formats. As a result of data conversion, a reference line was defined to precisely follow the alignment of NGII HD maps drawn based on MMS data, and a lively virtual road was reproduced through road lane width and lane expression. CONCLUSIONS : A virtual road in the same environment as a real road, which is one of the important factors in verifying autonomous driving technology through virtual driving simulation, was constructed. The piecewise-polynomial normal was 0.008 m on average, and as a result of calculating the distance between the endpoint coordinates of the road object and the endpoint coordinates of the converted road object on the NGII HD map, the difference between the two points was 0.163 m on average. The clamped cubic polynomials normal was observed to be an average of 0.170 m.

This study was carried out to compare the DMY (dry matter yield) of IRG (Italian ryegrass) in the southern coastal regions of Korea due to seasonal climate scenarios such as the Kaul-Changma (late monsoon) in autumn, extreme winter cold, and drought in the next spring. The IRG data (n = 203) were collected from various Reports for Collaborative Research Program to Develop New Cultivars of Summer Crops in Jeju, 203 Namwon, and Yeungam from the Rural Development Administration (1993 – 2013). In order to define the seasonal climate scenarios, climate variables including temperature, humidity, wind, sunshine were used by collected from the Korean Meteorological Administration. The discriminant analysis based on 5% significance level was performed to distinguish normal and abnormal climate scenarios. Furthermore, the DMY comparison was simulated based on the information of sample distribution of IRG. As a result, in the southern coastal regions, only the impact of next spring drought on DMY of IRG was critical. Although the severe winter cold was clearly classified from the normal, there was no difference in DMY. Thus, the DMY comparison was simulated only for the next spring drought. Under the yield comparison simulation, DMY (kg/ha) in the normal and drought was 14,743.83 and 12,707.97 respectively. It implies that the expected damage caused by the spring drought was about 2,000 kg/ha. Furthermore, the predicted DMY of spring drought was wider and slower than that of normal, indicating on high variability. This study is meaningful in confirming the predictive DMY damage and its possibility by spring drought for IRG via statistical simulation considering seasonal climate scenarios.