Purpose: This study aimed to perform an integrated literature review to identify evidence for developing a problem-based learning (PBL) method based on a simulation education program for nursing students. Methods: In May 2022, 10 electronic databases were used to conduct a literature search using the keywords simulation, PBL, nursing, and education in Korean and English. Finally, 21 studies were selected. Results: There were more single-type simulation studies than studies using a hybrid model that combined two simulation types. Most simulation studies were for a single domain of adult nursing rather than for various integrated domains. Four studies (19%) applied a theory during debriefing, but most did not conduct a systematically structured debriefing. All studies selected attitude and competency as the outcome variables to study the effects of the intervention. Two variables (attitude and competency) or three variables (knowledge [or skill], attitude, and competency) were typically selected, and their effects were measured. Conclusion: PBL based on simulation education can be effective in improving nursing practice competency in nursing students. Future studies ought to develop interprofessional education programs based on PBL simulations through multidisciplinary cooperation.

Purpose: In this study, we developed an integrated simulation practicum and investigated the effectiveness of the practicum for senior nursing students. Methods: Sixty-seven senior nursing students from a university were enrolled in this study and assigned into two groups: experimental (n = 31) and control (n = 36). We developed and applied a 60-hour integrated simulation practicum that spans a 3-week period. The control group performed a traditional clinical practicum. The outcome measures were critical thinking disposition, clinical competence, and practicum satisfaction and the data were analyzed using the SPSS 23.0 software. Results: After the intervention, both experimental and control groups showed significant improvement in critical thinking disposition (p = .017) and clinical competence (p < .001) compared to those of the baseline. Regarding practicum satisfaction, the experimental group showed significantly higher satisfaction than the control group (p = .003). Conclusion: The integrated simulation practicum was an effective program that improved critical thinking, clinical competence, and practicum satisfaction in senior nursing students. To effectively improve critical thinking and acquire clinical competence, which are essential for prospective nurses, nursing students should be exposed more to simulation practicum that reflect environments similar to actual clinical settings for various patients with complex health problems.

Although monitoring of radon has been extensively implemented throughout South Korea, the risk assessment has been mainly limited to indoor environments such as schools, workplaces, and multi-use facilities, and evaluations have normally been performed separately. In this study, the differences in radon exposure according to two groups (< 1 and 1-6 years old) were evaluated considering various indoor and outdoor environments, timeactivity patterns, variations in radon concentrations, and dwelling type (single detached and apartment house) using Monte-Carlo simulation. The distribution and representative values of radon concentration by micro-environments were confirmed through the Anders-Darling test, and a uniform distribution was applied in case of uncertainty. The effective dose ranged from 1.81 ± 1.19 to 2.81 ± 3.02mSv/y. Comparing the levels recommended by EPA, WHO, and ICRP with the value of the 95th percentile of this study, it was found that the results for those dwelling in detached houses exceeded recommended levels. Infants that spend a lot of time in homes with relatively high levels of concentration of radon are assessed to be somewhat more vulnerable to radon exposure.

Many of companies have made significant improvements for globalization and competitive business environment The supply chain management has received many attentions in the area of that business environment. The purpose of this study is to generate realistic production and distribution planning in the supply chain network. The planning model determines the best schedule using operation sequences and routing to deliver. To solve the problem a hybrid approach involving a genetic algorithm (GA) and computer simulation is proposed. This proposed approach is for: (1) selecting the best machine for each operation, (2) deciding the sequence of operation to product and route to deliver, and (3) minimizing the completion time for each order. This study developed mathematical model for production, distribution, production-distribution and proposed GA-Simulation solution procedure. The results of computational experiments for a simple example of the supply chain network are given and discussed to validate the proposed approach. It has been shown that the hybrid approach is powerful for complex production and distribution planning in the manufacturing supply chain network. The proposed approach can be used to generate realistic production and distribution planning considering stochastic natures in the actual supply chain and support decision making for companies.

Purpose: This study seeks to confirm the relationship between learning self-efficacy, learning satisfaction, and transfer motivation among nursing students who complete the integrated simulation practice class. Method: The data for the study were collected through self-report questionnaires administered to 4th year students and were analyzed using the SPSS 18.0 program. Results: The findings show that learning self-efficacy is 6.03±.69 (7 points), learning satisfaction is 4.23±.57 (5 points), and transfer motivation is 5.70±.90 (7 points). The transfer motivation has a positive correlation with both learning self-efficacy and learning satisfaction and learning self-efficacy has a positive correlation with learning satisfaction. The factors influencing the transfer motivation of nursing students are learning self-efficacy (β=.87, p<.001) and learning satisfaction (β=.24, p=.028), which together account for 61.9% of the transfer motivation. Conclusion: The results demonstrate that to enhance the transfer motivation for nursing students, it is necessary to develop a program and curriculum for increasing learning self-efficacy and learning satisfaction.

Purpose: This study was conducted to explore Virtual Reality (VR) utilization strategies in scenario-based nursing simulation training. Method: This was an integrative review for the identification of scenario-based VR simulation training applied to nursing undergraduates. The existing literature was searched in electronic databases using RISS, PubMed, and Pro-Quest and the key words were “Scenario based,” “Simulation,” “Virtual reality,” “Virtual training,” and “Nursing.” Finally, five studies were analyzed. Results: All the studies were conducted from 2016 to 2019. One RCT, two quasi-experimental studies, and two mixed method studies were identified. The topics of the scenarios were all different; acute myocardial infarction, management of respiratory system disease with hypoxia, postoperative nursing with appendicitis, teamwork and communication in outpatient and emergency situations, and disaster situation training . The outcome variables that were significant statistically were performance, self-confidence, and learning satisfaction. Conclusion: The findings suggest that virtual simulation in nursing education can potentially improve knowledge, performance, and learning confidence and can increase satisfaction with learning experience among nursing undergraduates. Multidisciplinary cooperation and investment are needed to develop diverse content applying VR in nursing simulation education. The review of the side effects also needs to be performed.

The application of the theoretical model to real assembly lines has been one of the biggest challenges for researchers and industrial engineers. There should be some realistic approach to achieve the conflicting objectives on real systems. Therefore, in this paper, a model is developed to synchronize a real system (A discrete event simulation model) with a theoretical model (An optimization model). This synchronization will enable the realistic optimization of systems. A job assignment model of the assembly line is formulated for the evaluation of proposed realistic optimization to achieve multiple conflicting objectives. The objectives, fluctuation in cycle time, throughput, labor cost, energy cost, teamwork and deviation in the skill level of operators have been modeled mathematically. To solve the formulated mathematical model, a multi-objective simulation integrated hybrid genetic algorithm (MO-SHGA) is proposed. In MO-SHGA each individual in each population acts as an input scenario of simulation. Also, it is very difficult to assign weights to the objective function in the traditional multi-objective GA because of pareto fronts. Therefore, we have proposed a probabilistic based linearization and multi-objective to single objective conversion method at population evolution phase. The performance of MO-SHGA is evaluated with the standard multi-objective genetic algorithm (MO-GA) with both deterministic and stochastic data settings. A case study of the goalkeeping gloves assembly line is also presented as a numerical example which is solved using MO-SHGA and MO-GA. The proposed research is useful for the development of synchronized human based assembly lines for real time monitoring, optimization, and control.

Purpose: This research involved a review of studies that examined the effectiveness of simulation-based nursing for clinical nurses in Korea. Methods: This is a methodological study for the identification of the simulation based educational interventions applied to nurses. Existing literature on simulation-based nursing education was searched using KISS, RISS, and Google Scholar electronic data bases and the keywords were “simulation,” “nurse,” “debriefing,” and “effect.” A total of 6 studies were included in the analysis. Results: Identified studies were conducted between 2010 and January 2017. All of the studies were randomized controlled trials(RCT). Scenario subjects were “communication skill,” and “emergency care.” Information about debriefing was largely absent from the studies. Conclusion: The findings suggest that activation of simulation–based nurse education is required. This study proposed that choice of measurement variables considering objectivity is needed.

본 연구에서는 실시간으로 개별 차량에 대한 소음 예측 시뮬레이션을 통해 매 순간 소음지도와 Lmax, Lmin 등을 얻을 수 있는 소음 예측 모델을 제시하였다. GIS 지형처리 기법을 이용해 공간 모델 처리 기법을 바탕으로 실시간 교통소음예측 시스템 모델을 제안하고, 객체지향기법을 이용해 개발하였다. 실시간 소음 시뮬레이션 모델을 이용하여 교통 흐름의 변화에 따라 소음레벨, 소음지도 변화, Lmin, Lmax값을 한눈에 파악하거나 비교할 수 있다. 현장에서 수행한 소음측정치와 예측치를 비교한 결과, 대부분 거리에서 Leq는 2~3db, Lmax는 3~4db 이내의 차이를 나타내어 소음예측의 신뢰성이 양호함을 확인할 수 있었다. 개발된 시스템을 이용해 민감도 분석을 수행한 결과, 대형차 비율, 차량 속도, 방음벽 높이에 따라 소음레벨의 차이를 보였고, 특히 방음벽 높이는 Leq나 Lmin보다 Lmax에 큰 영향을 미치는 것을 알 수 있었다.

위성항법시스템의 취약성에 따른 보완 시스템의 필요가 높아지면서, eLoran 시스템이 가장 현실적인 대안으로 인정받고 있다. 우 리나라도 서해 일부 지역에서 eLoran 시스템의 테스트베드 구축 사업을 진행 중에 있다. 전 해양지역에 안정적인 서비스를 제공하기 위해서는 추가적인 송신국 설치가 필요하지만. 여러가지 현실적인 이유로 인해 추진되기 어렵다. 이런 문제를 해결하기 위해 기존의 NDGNSS 기준 국과 AIS 기지국을 활용한 측위기술이 개발되고 있다. 이미 운영 중인 NDGNSS 기준국, AIS 기지국을 활용하면 전 해상에서 보다 높은 정확도의 탄력적 항법시스템 운용이 가능해질 수 있다. 그렇기 때문에 각 시스템이 통합운영 되었을 때의 성능을 예측하는 것은 중요하다. 본 논문에서는 eLoran 시스템과 전국의 NDGNSS의 해양기준국, AIS 기지국을 활용한 지상파 통합항법시스템의 성능을 예측할 수 있는 시뮬레이션 툴을 제작하였다. ITU에서 배포한 송출 주파수와 거리에 따른 신호 세기, 대기잡음 등을 고려해 Cramer-Rao Lower Bound로 수신 신호의 측정 거리 오차를 계산하였다. 추가적으로, 실제로 전국의 NDGNSS 해양기준국에서 수집된 DGPS 신호 정보를 통해 300 kHz 신호의 연평균 대기잡음을 추정해 시뮬레이션 결과를 보다 정확하게 하였다. 해당 결과는 추후 진행될 지상파통합항법시스템 개발에 유용하게 활용 될 것으로 기대된다.

위성항법시스템의 기술발전이 지속적으로 진행되고 있지만 여전히 신호차폐가 빈번히 발생하는 지역에서는 측위정확도 확보에 어려움을 겪고 있다. 이 연구에서는 통합 GPS/GLONASS 이중차분 상대측위 알고리즘을 구현하고 신호차폐 환경의 시뮬레이션을 수행해 그 성능을 검증하였다. 동쪽, 서쪽, 남쪽 방향으로 고층건물에 의해 신호차폐가 발생하는 환경을 시뮬레이션 하고 시뮬레이션 상황에 따른 GPS와 GPS/GLONASS의 정확도 평가를 수행하였다. 그 결과, 신호차폐 시뮬레이션 환경에서는 GPS/GLONASS가 GPS에 비해 최소 0.3m에서 최대 13m이상의 수평정확도가 향상되었다.