• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.803-807
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• 2009

The bobsleigh is a winter sport which use a sled to slide down an ice-covered course. There is a big expectation for having a training environment and being able to train year round. At present, training is very limited due to the season or course facilities. A variety of VR (Virtual Reality) equipment has been developed in recent years, and it is beginning to spread. We have also made our contribution in bobsleigh simulation. The reactive force applied in our bobsleigh simulation is much smaller than that of a real bobsleigh. This paper proposes a method to enhance reactive force of bobsleigh simulation in real time. The reactive force is magnified instantly in the physically-based simulation. The Laplacian filter is applied to the sequence of reactive force, this technique is often used in the field of image processing. The simulation is comprised of four large scale surround screens and a 6-D.O.F. (Degree Of Freedom) motion system. We also conducted an experiment with several motion patterns to evaluate the effectiveness of enhancement. The experimental results proved useful in some cases.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.298-300
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• 2021

The Ministry of National Defense decided to build a realistic combat simulation training system based on virtual reality and augmented reality in accordance with the expansion of the scientific training system of "Defense Reform 2.0". The realistic combat simulation training system should be able to maximize the tension and training effect as in actual combat through engagement between trainers. In addition, it should be possible to increase the effectiveness of survival training at the same time as shooting training similar to actual combat through cover training. Previous studies are suitable techniques to improve the shooting precision of the trainee, but it is difficult to practice bilateral engagement like in actual combat, and it is particularly insufficient for combat shooting training using cover. Therefore, in this paper, we propose a S/W algorithm for generating a virtual avatar by recognizing the shooting posture of the opponent on the screen of the virtual shooting trainer. This S/W algorithm can recognize the trainer and the cover based on the depth information acquired through the depth sensor and estimate the trainer's posture.

• Journal of Internet Computing and Services
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• v.23 no.1
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• pp.95-103
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• 2022

The goal of education and training in military is to foster strong combatants who can fight and defeat enemies. The Korean military is deeply aware of the importance of education & training, and has been introducing various advanced training systems so far. Despite these efforts, however, the military environment to maintain and strengthen the level of training is becoming increasingly difficult. In this study, it was conducted on the effectiveness analysis and utilization of the game system for military education & training through literature review. As a result of literature analysis, the introduction of the game system could be expected to have various effects throughout the cognitive and behavioral areas. Based on this effect analysis, the concept and shape of game system operation for each purpose were derived, and an improved plan using the game system was proposed.

• Journal of the Korea Convergence Society
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• v.9 no.7
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• pp.355-364
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• 2018

The purpose of this study is to investigate the effect of simulation practice combining problem-based learning on nursing knowledge, self-confidence, critical thinking tendency and problem solving ability. The subjects of this study were 45 students who took two courses of nursing situation practice in the fourth grade of S university in S area. Data were collected before and after the simulation exercise using the self-report questionnaire. The problem-based learning and the simulation practice convergence training were conducted for three weeks with two hours per week, and the post- integration nursing knowledge, self-confidence, critical thinking disposition, and problem solving ability scores were improved. Nursing knowledge, self-confidence, and critical thinking tendency were positively correlated with problem solving ability and proved the effectiveness of problem-based learning and simulation training. Therefore, education programs combining problem-based learning and simulation training on various topics should be developed and utilized.

• The Journal of Korea Robotics Society
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• v.14 no.2
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• pp.122-130
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• 2019

Collecting a rich but meaningful training data plays a key role in machine learning and deep learning researches for a self-driving vehicle. This paper introduces a detailed overview of existing open-source simulators which could be used for training self-driving vehicles. After reviewing the simulators, we propose a new effective approach to make a synthetic autonomous vehicle simulation platform suitable for learning and training artificial intelligence algorithms. Specially, we develop a synthetic simulator with various realistic situations and weather conditions which make the autonomous shuttle to learn more realistic situations and handle some unexpected events. The virtual environment is the mimics of the activity of a genuine shuttle vehicle on a physical world. Instead of doing the whole experiment of training in the real physical world, scenarios in 3D virtual worlds are made to calculate the parameters and training the model. From the simulator, the user can obtain data for the various situation and utilize it for the training purpose. Flexible options are available to choose sensors, monitor the output and implement any autonomous driving algorithm. Finally, we verify the effectiveness of the developed simulator by implementing an end-to-end CNN algorithm for training a self-driving shuttle.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.7
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• pp.263-270
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• 2021

Reinforcement learning(RL) is the method to find an optimal policy through training. and it is one of popular methods for solving lifesaving and disaster response problems effectively. However, the conventional reinforcement learning method for disaster response utilizes either simple environment such as. grid and graph or a self-developed environment that are hard to verify the practical effectiveness. In this paper, we propose the design of a disaster response RL environment which utilizes the detailed property information of the disaster simulation in order to utilize the reinforcement learning method in the real world. For the RL environment, we design and build the reinforcement learning communication as well as the interface between the RL agent and the disaster simulation. Also, we apply the dimension reduction method for converting non-image feature vectors into image format which is effectively utilized with convolution layer to utilize the high-dimensional and detailed property of the disaster simulation. To verify the effectiveness of our proposed method, we conducted empirical evaluations and it shows that our proposed method outperformed conventional methods in the building fire damage.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.353-361
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• 2024

Simulation education is a method that allows learners to learn repeatedly in realistic simulated situations. It solves the limitations of clinical practice that lacks direct nursing performance and is useful for acquiring and developing the knowledge, nursing skills, communication skills, learning self-efficacy, and clinical reasoning required for nursing students. The purpose of this study was identify the effects of High fidelity simulation-based education on communication ability, learning self-efficacy and clinical reasoning of nursing students. The subjects were 84 nursing students who were enrolled in the senior who had received simulation training using dysphagia patient care scenario. Data were analyzed using SPSS/WIN 22.0. As a result, There was a statistically significant difference in the communication ability, learning self-efficacy, clinical reasoning. And the mean score of simulation effectiveness is 2.64 points (a perfect score of three). Therefore, In order to improve the communication ability, learning self-efficacy and clinical reasoning of nursing students, it is necessary to develop and apply realistic scenarios that reflect various clinical situations.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.11
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• pp.44-55
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• 2019

This study was undertaken to examine changes in the performance of nurses before and after initial cardiac arrest, and compare the performance, confidence, and satisfaction between two groups: group 1, Rapid Cycle Deliberate Practice simulation method; group 2, traditional simulation method. The participants were 122 nurses (group 1: 62, group 2: 60). Data were collected from March 18 to 29, 2019 and analyzed using the SPSS Version 23.0 program, by applying descriptive statistics, Fisher's exact test, t-test, Wilcoxon sign rank test, and Mann-Whitney U-test. Comparing the educational effects of the traditional simulation training vs. RCDP simulation training, some items of performance were significantly different (z=-2.02, p=0.044 / z=-2.42, p=0.015 / z=-3.03, p=0.002), but no difference was observed in the levels of confidence (z=0.388, p=0.699) and satisfaction (t=0.72, p=0.476) between the two groups. This study confirms that both training methods are effective teaching modules for enhancing the nurse's ability to perform resuscitation with confidence. Hence, we suggest applying the appropriate simulation method, according to the subjects included during education, and contents in the training of Advanced Life Support for nurses. Effectiveness of the modules can be ascertained by applying the RCDP simulation training method in various fields.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.1021-1023
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• 2013

Currently, aircraft and automobile simulator for training provides a variety of training by making hypothetical situation on a simulator Installed on the ground Currently. And the instructor maximizes the effectiveness of the training by Monitoring training and instructing the required training. When trainees are boarding the aircraft or automobile. The Instructor in the ground is not able to monitoring aircraft, automobile. The assessment of the training is not easy after the end of the training Therefore, it is difficult to provide high quality of education to the students. In this paper, Simulation software is to develop the following. Collecting GPS and real-time information for aircraft, automobile ${\grave{a}}implementing$ 3D simulation. Implementing Current image of the aircraft or automobile in the screen by 3D Real-time monitoring of training situation at the control center utilizing for training saving 3D video files Analysis, evaluation on training After the end of the training.

• IEIE Transactions on Smart Processing and Computing
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• v.5 no.1
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• pp.63-69
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• 2016

This paper presents methods to improve the effectiveness of electromagnetic shielding. The slit appears in an enclosure's surface to ventilate. Slits may also appear due to power supply lines or to serve as a communication link between electronic circuits inside and outside the box. We simulated electromagnetic radiation in different conditions in order to propose a method to improve the effectiveness of electromagnetic shielding to ensure electromagnetic compatibility using CST software (Computer Simulation Technology).