• Korean Journal of Adult Nursing
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• v.27 no.2
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• pp.146-155
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• 2015

Purpose: The aim of this descriptive study was to explore the relationship between non-technical skills (NTSs) and cardiopulmonary resuscitation (CPR) performance of nurses' teams in simulated cardiac arrest in the hospital. Methods: The sample was 28 teams of nurses in one university hospital located in Seoul. A high fidelity simulator was used to enact simulated cardiac arrest. The nurse teams were scored by raters using both the CPR performance checklist and the NTSs checklist. Specifically the CPR performance checklist included critical actions; time elapsed to initiation of critical actions, and quality of cardiac compression. The NTSs checklist was comprised of leadership, communication, mutual performance monitoring, maintenance of guideline, and task management. Data were collected directly from manikin and video recordings. Results: There was a significant difference between the medians of the NTSs and CPR performance (Mann Whitney U=43.5, p=.014). In five subcategories, communication (p=.026), mutual performance monitoring (p=.005), and maintenance of guideline (p=.003) differed significantly with CPR performance in medians. Leadership (p=.053) and task management (p=.080) were not significantly different with CPR performance. Conclusion: The findings indicate that NTSs of teams in addition to technical skills of individual rescuers affect the outcome of CPR. NTSs development and assessment should be considered an integral part of resuscitation training.

• Journal of KIISE:Software and Applications
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• v.37 no.5
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• pp.363-369
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• 2010

Demonstration-based learning has the advantage that a user can easily teach his/her robot new task knowledge just by demonstrating directly how to perform the task. However, many previous demonstration-based learning techniques used a kind of attribute-value vector model to represent their state spaces and policies. Due to the limitation of this model, they suffered from both low efficiency of the learning process and low reusability of the learned policy. In this paper, we present a new demonstration-based learning method, in which the relational model is adopted in place of the attribute-value model. Applying the relational instance-based learning to the training examples extracted from the records of the user demonstrations, the method derives a relational instance-based policy which can be easily utilized for other similar tasks in the same domain. A relational policy maps a context, represented as a pair of (state, goal), to a corresponding action to be executed. In this paper, we give a detail explanation of our demonstration-based relational policy learning method, and then analyze the effectiveness of our learning method through some experiments using a robot simulator.

• Nuclear Engineering and Technology
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• v.52 no.6
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• pp.1180-1187
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• 2020

A team of operators is required for nuclear power plant operation, and communication between the operators is an important aspect of the team's ability to successfully carry out tasks. It has been difficult to evaluate the quality of this communication though, and as the relationship between communication quality and team performance has yet to be clarified, it has not been applied to most human reliability analysis (HRA) methodologies. This study investigates the relationship between the quality of communication and team performance using data from a full-scope training simulator of a digital main control room (MCR). Two important characteristics of communication were considered to determine quality: each operator's ability to self-confirm the status of a given task in a digital MCR, and the type of communication, as divided into 1-way, 2-way, and 3-way between operators. To measure team performance, the concept of an unsafe act was employed, which is defined as a human error that has the potential to negatively affect plant safety. Analysis results showed that the communication quality and team performance were related to each other. With this more clearly defined relationship, the results of this study can be applied to related performance shaping factors to improve HRA.

• Journal of the Korean Society of Marine Environment & Safety
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• v.24 no.6
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• pp.701-708
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• 2018

Human error is an important cause of maritime accidents and the identification of human error is fundamental to maritime-accident preventions. In particular, the pattern of technical behavior taken in the circumstance of bridge teams(navigator & helmsman) provides important information to identify human error. The purpose of this study is to identify and analyze technical behavior pattern of bridge teams using Williamson's turn for rescue of persons overboard. The focus of this study is to build and analyze a cognitive model of the human behavior factors of the bridge teams in the process of implementing the experiments. The experimental environment was constructed using a ship-handling simulator and conducted an experiment on participants from 24 bridge teams. As a result of the experiment, it was able to identify the behavior pattern of the ship's maneuvering and maintain trajectory using the rudder and engine. This study is expected to correct human error in the bridge teams application to the certification and training of seafarers.

• Journal of KIISE:Computing Practices and Letters
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• v.7 no.6
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• pp.593-601
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• 2001

This paper presents an efficient system for power system education using 3-D computer graphics animation in the PC environment. Several power system phenomena are simulated using Real-Time Digital Simulator. Results are transmitted through on-line communication line to PC for graphic animation, and simulated in the 3-D graphics animation. It can immediately reflect user control input and re-simulated this result. The proposed method was tested on both the sub-synchronous resonance phenomena and multi-bus system. It is expected that the proposed method would be helpful for the operator training as well as power system education.

• Journal of the Korean Society for Railway
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• v.14 no.6
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• pp.575-583
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• 2011

In order to minimize the maintenance cost at local lines, Information & Communication Technology based onboard train control system is being developed. Unlike the central traffic control based fixed block system, this system use a moving block method and railway driver direct control switch and railway crossing. The purpose of this paper is to analyze the concerned main operational issues are as follows: the preparation of train operation, drivability, the role of driver and controller, block system and cost. We defined the role of driver and driver's input data for train service, and we designed the business process of driver using UML tool. We considered the aspect of drivability, DMI is needed to support the braking moment for the driver and driver training simulator. We designed the driver business process for control of switch and railway crossing. We analyzed the fixed block system and moving block system to confirm the difference with the existing operational method. The cost analysis structure is also needed for the operation cost comparison.

• Journal of Fisheries and Marine Sciences Education
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• v.29 no.2
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• pp.380-385
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• 2017

Maritime accidents caused by a ship include collisions, sinking, stranding and fire etc. This study is intending to consider fire accidents among such diverse marine accidents. It is much likely that various sorts of fires break out because crews are living in a narrow space for long periods of time consequent on the ship's characteristic of sailing on the sea. This study carried out a simulation through the special program for fire analysis - FDS (Fire Dynamics Simulator) in order to find the effective evacuation time, i.e. life survival time. Particularly, this study did comparative analysis of the influence on the survival of cadets based on the collected simulation data by fire size and sort. As a result of the analysis, It was analyzed the Evacuation Allowable Limit Temperature $60^{\circ}C$ and resulted that there is no influence in evacuation by temperature. In case of visibility analysis, it reached to 5m which is the Evacuation Allowable Limit at 117 seconds under the condition of wood fire in 1MW. When there is Kerosene in 1MW, it took 92.4 seconds to reach by 5m which is the Evacuation Allowable Limit. Theoretical evacuation time for the non-tilted ship was 118.8 seconds in 1MW sized fire so it is shown that the most passengers are met the evacuation safety in case of wood fire. However, the majority of passengers could not be ensured the evacuation safety in Kerosene case.

• Journal of Industrial Convergence
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• v.17 no.2
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• pp.45-52
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• 2019

A systematic review was conducted to identify components and convergent effects of simulation program using schizophrenia scenario in nursing education. Using 4 different databases, 226 articles were identified and 11 studies met the inclusion criteria. There were 5 qualitative studies, 5 quantitative studies and 1 study used mixed method design. The simulation incorporated various methods including standardized patients, role playing, simulator and virtual reality that majority studies(63.6%) used standardized patients. For the evaluation, studies examined diverse variables including knowledge, learning self competency, learning satisfaction and self directed learning. Considering complexity and difficulty of nursing for schizophrenia, future studies with well designed simulation program are required to prove its effectiveness.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.1
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• pp.19-28
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• 2021

Recently, in the field of education, various attempts have been made to apply virtual reality technology to an educational field and use it as an educational medium. Accordingly, in the science subject area, it is necessary to simulate science experiments that can make various and active experiments out of various limitations such as space and situation by using virtual reality environment construction technology. In this study, after selecting a physics course from a science subject, an experimental simulation using a parabolic motion formula, one of physical phenomena, is implemented in a virtual space, and then used in actual physics education based on the learning standards of the STEAM theory. Prove this is possible. Through this, it was confirmed that a specific educational model using virtual reality space can be designed, and it shows that education can be conducted with more effective educational methods in various subjects of education through the combination of traditional educational model and modern technology. Regarding the results of the research, it suggests the possibility of future research plans and practical use in the educational field.

• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.670-675
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• 2022

In the era of the 4th industrial revolution, everything is data-centric. The type and amount of data may be central, and new data may be required in special circumstances. As 3D printers are used in various fields, there are fields that are newly challenged. In particular, in the medical field, new attempts that have not been considered before are taking place. This paper is a study to enable research in fields that require physical properties of the human body. In the meantime, research using human organs has mainly used the materials made of silicon. We measure the physical properties of the human body from cadavers, apply these characteristics to develop new materials, and develop artificial organs with 3D printers. Using the artificial organs made in this way, you can practice surgery with a robot that removes kidney stones. In this paper, we would like to introduce a series of research processes to develop advanced materials similar to human organs.