The damage to structures during an earthquake can be varied depending on the frequency characteristics of seismic waves and the geological properties of the ground. Therefore, considering such attributes in the design ground motions is crucial. The Korean seismic design standard (KDS 17 10 00) provides design response spectra for various ground classifications. If required for time-domain analysis, ground motion time series can be either selected and adjusted from motions recorded at rock sites in intraplate regions or artificially synthesized. Ground motion time series at soil sites should be obtained from site response analysis. However, in practice, selecting suitable ground motion records is challenging due to the overall lack of large earthquakes in intraplate regions, and artificially synthesized time series often leads to unrealistic responses of structures. As an alternative approach, this study provides a case study of generating ground motion time series based on the hybrid broadband ground motion simulation of selected scenario earthquakes at sites in the Nakdonggang delta region. This research is significant as it provides a novel method for generating ground motion time series that can be used in seismic design and response analysis. For large-magnitude earthquake scenarios close to the epicenter, the simulated response spectra surpassed the 1000-year design response spectra in some specific frequency ranges. Subsequently, the acceleration time series at each location were used as input motions to perform nonlinear 1D site response analysis through the PySeismoSoil Package to account for the site response characteristics at each location. The results of the study revealed a tendency to amplify ground motion in the mid to long-period range in most places within the study area. Additionally, significant amplification in the short-period range was observed in some locations characterized by a thin soil layer and relatively high shear wave velocity soil near the upper bedrock.

The arrival of the 5G era has made electromagnetic pollution a problem that needs to be addressed, and flexible carbon-based materials have become a good choice. In this study, wet continuous papermaking technology was used to prepare carbon fiber paper (CFP) with a three-dimensional conductive skeleton network; Molybdenum disulfide ( MOS2)/ iron (Fe) @ carbon fiber paper-based shielding material was prepared by impregnating and blending molybdenum disulfide/iron ( MOS2/Fe) phenolic resin MOS2/ Fe@ CFP. The morphology, structure, electrical conductivity, mechanical properties, hydrophobicity, and electromagnetic shielding properties of the composite were characterized. The results show that the three-dimensional network structure based on a short carbon fiber paper-based conductive skeleton and the synergistic effect of the MOS2 dielectric wave absorbing agent and Fe magnetic wave absorbing agent have good electromagnetic shielding performance. Conduct electromagnetic shielding simulation using HFSS software to provide options for the structural design of CFP. The electromagnetic shielding performance of CFP reaches 70 dB, and the tensile strength reaches 34.39 MPa. Based on the mechanical properties, the compactness of carbon fiber paper is ensured. The lightning damage model test using CST software expands the direction for the use of carbon fiber paper. In summary, MOS2/ Fe @CFP with excellent shielding performance has great application prospects in thinner and lighter shielding materials, as well as high sensitivity, defense and military equipment.

Disposal cover as an engineered barrier of a near-surface disposal facility for low and very low-level radioactive waste is composed of a multi-layer to isolate radioactive waste from environmental influences for the long term. To acquire a realistic forecast for the post-closure period of the disposal facility, it is essential to carry out long-term experimental research in a similar condition to the actual disposal environment. Hence, a performance test facility of the disposal cover was constructed in Gyeongju low and intermediate level radioactive waste disposal center in 2022. The constructed performance test facility has differences from the material properties presented in the design. These differences are factors that affect the prevent rainfall infiltration, which is one of the important roles of the disposal cover. Therefore, in this study, a numerical simulation of rainfall infiltration into the performance test facility was performed for the designed case and the actual constructed case. To simulate the behavior of water infiltration, the FEFLOW software based on the finite element method is used. Through the analysis of numerical simulation results, it is confirmed that the hydraulic conductivity of the material constituting the multi-layer of the disposal cover greatly influences the amount of water infiltration.

To non-destructively determine the burnup of a spent nuclear fuel assembly, it is essential to analyze the nuclear isotopes present in the assembly and detect the neutrons and gamma rays emitted from these isotopes. Specifically, gamma-ray measurement methods can utilize a single radiation measurement value of 137Cs or measure based on the energy peak ratio of Cs isotopes such as 134Cs/137Cs and 154Eu/137Cs. In this study, we validated the extent to which the results of gamma-ray measurements using cadmium zinc telluride (CZT) sensors based on 137Cs could be accurately simulated by implementing identical conditions on MCNP. To simulate measurement scenarios using a lead collimator, we propose equations that represent radiation behavior that reaches the detector by assuming “Direct hit” and “Penetration with attenuation” situations. The results obtained from MCNP confirmed an increase in measurement efficiency by 0.47 times when using the CZT detector, demonstrating the efficacy of the measurement system.

In the manufacturing industry, dispatching systems play a crucial role in enhancing production efficiency and optimizing production volume. However, in dynamic production environments, conventional static dispatching methods struggle to adapt to various environmental conditions and constraints, leading to problems such as reduced production volume, delays, and resource wastage. Therefore, there is a need for dynamic dispatching methods that can quickly adapt to changes in the environment. In this study, we aim to develop an agent-based model that considers dynamic situations through interaction between agents. Additionally, we intend to utilize the Q-learning algorithm, which possesses the characteristics of temporal difference (TD) learning, to automatically update and adapt to dynamic situations. This means that Q-learning can effectively consider dynamic environments by sensitively responding to changes in the state space and selecting optimal dispatching rules accordingly. The state space includes information such as inventory and work-in-process levels, order fulfilment status, and machine status, which are used to select the optimal dispatching rules. Furthermore, we aim to minimize total tardiness and the number of setup changes using reinforcement learning. Finally, we will develop a dynamic dispatching system using Q-learning and compare its performance with conventional static dispatching methods.

Purpose: Improving students’ self-confidence is an important strategy in simulation learning. This study aimed to identify the factors influencing students’ self-confidence in simulation learning based on the Jeffries Simulation Framework. Method: A cross-sectional survey was conducted with 140 senior nursing students’ at a university, and data were collected through self-reported questionnaires. Data on students’ self-confidence were collected for student/ facilitator factors (satisfaction on major, overall grade average, and facilitator satisfaction), educational practice factors (active learning, collaboration, diverse ways of learning and educational goals), and simulation design characteristics factors (objectives/information, support, problem solving, feedback, and fidelity). Data were analyzed using an independent t-test, one-way ANOVA, Pearson’s correlation, and hierarchical multiple regression analysis. Results: The regression model had an adjusted R2 of .61, indicating that education goal, active learning, facilitator satisfaction, and fidelity were significant predictors of students’ self-confidence in simulation learning. Conclusion: To increase students' self-confidence with simulation learning strategies, it is necessary to design lessons that include educational goals, active learning, improved student satisfaction with the facilitator and fidelity based on the Jeffries Simulation Framework.

Electric-propulsion systems for ships, also known as electric propulsion devices, represent the current direction of development for maritime power. Issues concerning the environment and fuel economy have compelled the maritime transport sector to seek solutions that reduce emissions and improve fuel efficiency. In this process, power electronics technology plays a significant role in the propulsion systems of ships. Selecting an efficient battery system is of great importance for enhancing the cruising range of yachts and minimizing environmental impact. The battery model is crucial for revealing the working principles of batteries, and it is extremely critical for the application and development of battery technology. The Battery Management System (BMS) serves a crucial regulatory function, optimizing both the safety and performance of battery cells. Central to its operation is the precise estimation of the battery's State of Charge (SOC), a process dependent on an exacting battery model. This system not only enhances longevity and reliability but also ensures that energy storage solutions meet high standards of efficacy. This study focused on testing the impedance characteristics of lithium-sulfur batteries (LSB) at various SOC points and establishing first- and second-order RC equivalent circuit models. The model parameters were identified through experimental data. Subsequently, a simulation platform was constructed using MATLAB/Simulink to simulate the behavior of LSB under a constant current discharge condition. The simulation results showed that the second-order RC model had significantly lower errors than the first-order model, demonstrating higher accuracy. These achievements can provide technical support for the research of energy storage systems in the green aviation and maritime industries.

Purpose: Nursing students' competence in virtual simulation-based learning is a key factor in its success. This study explored the validity and reliability of a virtual-simulation-based learning competency self-evaluation tool for nursing students. Methods: Data were collected from a web-based survey. First, 11 nursing professors participated in a focus group interview, and 7 simulation education experts participated in the preliminary item content validity. The participants in these two aspects were not the same. Then, a preliminary survey was conducted with 15 fourth-year nursing students in I City. Next, based on these three efforts, a final survey comprising 20 evaluation items was developed. This survey was administered to third- and fourth-year nursing students at four nursing colleges in Korean provinces (Seoul, Gyeonggi, Gangwon, and Gyeongsan-do); 222 complete questionnaires were used for the final analysis. Further, Kirkpatrick’s evaluation model was used for four steps each of tool development and verification processes of the associated psychometric aspects, for a total of eight steps. An exploratory factor analysis was performed on the collected survey data, and verify the tool's validity and reliability. Results: Four factors comprising 15 items explained 66.59% of the variance: learning preparation and start-up (4 items), nursing assessment (3 items), data interpretation (3 items), and problem solving (5 items). The Cronbach's α of the tool was 0.74, and that of the factors ranged from 0.72 to 0.80. Conclusions: The tool's validity and reliability were demonstrated using established methodologies. This tool can be useful for evaluating Korean nursing students' virtual simulation learning competence.

In this study, the design of fuel tank for SUVs (sports utility vehicles) was addressed through structural FE-simulation. For safety evaluation, we performed a shape analysis of fuel tank, discovered improvement measures for weak areas, and reflected them in the fuel tank design. Additionally, a strength analysis was conducted and the analysis results were reflected in the design. As a result of analysis through various design changes, it was possible to propose an appropriate fuel tank shape. Additionally, the effect of changes in the shape of the reinforcement and mounting bracket on the stiffness and strength of the fuel tank bracket was investigated.

In this study, the design of parking brake mounting bracket for SUVs (sports utility vehicles) was handled through structural analysis. For safety evaluation, we conducted a shape analysis of parking brake mounting bracket, discovered improvement measures for weak areas, and reflected them in the design. In addition, a strength analysis was performed and the analysis results were reflected in the design. As a result of analysis through various design changes, it was possible to suggest an appropriate parking brake mounting bracket shape. In addition, the effect of changes in the shape of the reinforcement and mounting bracket on the stiffness and strength of the parking brake mounting bracket was investigated.

상선에 비해 잦은 변침을 하고 어획물로 인한 중량 및 무게중심의 변화와 같은 다양한 운항조건을 가진 어선의 경우, 조종성능 은 선박 운항 시에 매우 중요한 역할을 한다. 소형 어선의 사고는 2022년 기준 전체 해상 사고의 약 60%를 차지하며, 이는 부족한 조종성 능으로 인한 충돌과 좌초 사고가 주요 원인이다. 특히 10톤 미만의 소형선박에서 발생한 사고는 전체 사고의 약 65%를 차지하는데, 소형 어선의 조종성능 관련 기준이 부재하여 이를 정확히 평가하기엔 어려움이 있다. 이에 본 연구에서는 4.99톤급 소형 어선을 대상선으로 선 정하여 3D-CAD로 모델링 한 후, 상용 수치해석 프로그램인 STAR-CCM+를 활용하여 선박의 조종운동 시뮬레이션 환경을 구축하였다. 이 를 바탕으로 다양한 표준재화상태와 무게중심을 고려하여 10° / 10° 및 20° / 20° zigzag test와 35° turning test를 수행하였고, 선체 중량이 증가 함에 따라 변침성능이 감소하고 선회성능이 향상되는 경향을 분석하였다. 그 중, 만재출항과 부분만재입항 상태에서는 상대적으로 선회 성능이 부족한 결과를 확인하였다. 이를 바탕으로 소형선박의 안전한 운항을 위한 표준재화상태와 무게중심을 고려한 조종성능의 평가 및 그에 상응하는 표준화된 조종성능 평가 기준의 필요성을 제시하였다. 또한, 본 연구의 조종성능 평가 결과가 소형선박의 조종성능 평 가 기준 선정을 위한 기초자료로 활용될 수 있을 것으로 기대된다.

STCW 협약 A-VI에 의거, 승선 필수 증서를 발급받기 위해 소화 과정 최저 훈련 이수를 거치게 되는 공간이 수소화 훈련장 이다. 선박 화재의 상황과 유사한 장소에서 발생한 화재 진압 훈련을 위한 실습 장소의 특성상, 재실자의 안전을 보장할 수 있는 운영 을 위해 안전성을 수치화하여 평가하고 기준을 수립하는 연구의 필요성이 대두되었다. 화재 안전 평가를 위해 FDS를 기반으로 한 Pyrosim을 활용하여 제연설비 유무에 따른 Case를 설정, vector의 분석을 통한 연기 유동 및 열기에 대한 평가를 수행하였다. 피난 안전 평가는 Pathfinder를 통해 허용 피난시간, 총 피난시간을 수치화된 결과로 해석, 비교하여 안전성을 분석하였다. 각 Case에 대한 안전성 을 평가함으로 제연설비별 기능의 적정성을 수치, 시각적으로 나타내었으며, 현재 운영 상태는 안전성이 양호한 것으로 평가하였다. 집 진설비가 정지한 비상상황은 각 피난시간과 111.2초의 여유시간으로 나타내어 수소화 훈련장의 비상상황에 대한 피난시간의 기준으로 활용할 것을 제시하였다.

Purpose: This study aimed to develop a program using the Room of Errors (ROE) technique to enhance the patient nursing student’s safety competencies and determine the effectiveness of simulation-based education. Methods: We conducted a methodological study using the ADDIE model for program development (Molenda, 2003). During the ROE activities, students identified errors that threatened patient safety. The program's effectiveness was evaluated in the implementation phase by measuring students' confidence in patient safety using a one-group pretest-posttest design. Results: Participants' satisfaction with the ROE program was 4.90 ± 0.36 on a 5-point Likert scale. The pre- and post-ROE program patient safety confidence scores (H-PEPSS) were statistically significant, increasing from 3.62 ± 0.54 to 4.19 ± 0.60. Participants' subjective evaluations were generally positive, indicating increased insight, confidence, and vigilance in error prevention. Conclusion: Based on this study’s significant findings, it would be beneficial to encourage students and healthcare providers to utilize ROE programs to enhance patient safety competencies.

PURPOSES : Even when autonomous vehicles are commercialized, a situation in which autonomous vehicles and regular drivers are mixed will persist for a considerable period of time until the percentage of autonomous vehicles on the road reaches 100%. To prepare for various situations that may occur in mixed traffic, this study aimed to understand the changes in traffic flow according to the percentage of autonomous vehicles in unsignalized intersections. METHODS : We collected road information and constructed a network using the VISSIM traffic simulation program. We then configured various scenarios according to the percentage of autonomous vehicles and traffic volume to understand the changes in the traffic flow in the mixed traffic by scenario. RESULTS : The results of the analysis showed that in all scenarios, the traffic flow on major roads changed negatively with the mix of autonomous vehicles; however, the increase or decrease was small. By contrast, the traffic flow on minor roads changed positively with a mix of autonomous vehicles. CONCLUSIONS : This study is significant because it proactively examines and designs traffic flow changes in congested traffic that may occur when autonomous vehicles are introduced.

Purpose: The global emphasis on preventing and systematically managing acute cardiac arrest necessitates improved education in cardiovascular emergencies. This study aims to provide foundational data on the effectiveness of simulation-based cardiovascular emergency management education, applying the think-aloud method for nurses. Method: A one-group pre-posttest experimental design was used from July 29 to August 15, 2022. Twenty-eight nurses participated in this study. Data were analyzed using descriptive statistics and the Wilcoxon signed-rank test with SPSS/WIN 25.0. Results: The educational intervention showed statistically significant improvements in outcomes: knowledge of cardiovascular emergency management (Z=-4.24, p<.001), confidence in cardiovascular emergency management (Z=-4.63, p<.001), clinical reasoning competence (Z=-4.16, p<.001), and self-efficacy for group work (Z=-3.47, p=.001), and selfregulation for group work (Z=-2.29, p=.022). Conclusion: This study indicates that the use of the think-aloud method in simulation-based learning can effectively enhance cardiovascular emergency management training by reducing learners’ cognitive load. Cardiovascular emergency management competencies can be strengthened through the development of diverse educational strategies and the expansion of training support.

Purpose: This study examined the influence of nursing students’ competencies in assessment, communication, clinical judgment, and patient safety on evidence-based practice (EBP) competency through simulation training. Methods: Data were collected from in December 11 in 2023 to January 30 in 2024, using a self-report questionnaire. The final participants were 230 nursing students in two universities. Multiple regression, t-test, ANOVA were used for data analysis. Results: The competencies of nursing students who participated in simulation training significantly influenced their EBP competency. The most influential factor on nursing students’ competency of EBP was Clinical Judgment, followed by Communication. Assessment and Patient safety competencies did not have a statistically significant impact on EBP competency. Conclusion: It is crucial for nurses to implement EBP to provide high-quality nursing and advance nursing as a science. However, since EBP competency is difficult to acquire in a short period, education on EBP is necessary from nursing school. Simulation training is considered an effective means to enhance nursing students' competency in EBP. Our study suggests incorporating elements that strengthen competencies in clinical judgment and communication when establishing a simulationbased training program to enhance the EBP competency of nursing students.