• 한국CDE학회논문집
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• 제14권4호
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• pp.271-280
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• 2009

An experience based training system concerning various fire situations which may result many casualties has been required to make rapid decision and improve the responsiveness. Recently, the necessity of virtual reality (VR) based training system which can replace a dangerous full-scale fire training and be easily adopted to the training or evaluation process is increasing. This study constructed tile virtual environment according to pre-defined scenarios, utilized the FDS(Fire Dynamics Simulator), three dimensional computational fire analysis program, to derive numerically simulated data on the propagation of fire. Finally, by visualizing the realistic fire and smoke behavior through virtual reality technique and implementing real-time interaction, we developed a VR-based fire training simulator. Also, in order to ensure the sense for tile real of a virtual world and reaI-time performance at the same time, we proposed appropriate data processing and space search algorithms, demonstrate d the value of proposed method through experiments.

• 한국간호교육학회지
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• 제27권3호
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• pp.227-239
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• 2021

Purpose: This study used an exploratory sequential approach (mixed methods) design to explore essential meaning through comparing and analyzing the experiences of nursing students in virtual simulation practice and high fidelity simulation practice education in parallel. Methods: The study participants were 20 nursing students, and data were collected through focus group meetings from July 17 to August 5, 2020, and via online quantitative data from November 10 to November 15, 2020. The qualitative data were analyzed using Giorgi's phenomenological method, and the quantitative data were analyzed using descriptive statistics, the Mann-Whitney U test, Kruskal-Wallis H test analysis of variance and Spearman's ρ correlation. Results: The comparison between the two simulation training experiences was shown in five contextual structures, as follows: (1) reflection of the clinical field, (2) thinking theorem vs. thinking expansion, (3) individual-centered learning vs. team-centered learning, (4) attitudes toward participating in practical training, (5) metacognition of personal competency as a prospective nurse, and (6) revisiting the method of practice training. There was a positive correlation between satisfaction with the practice and the clinical judgment ability of high fidelity simulation, which was statistically significant (r=.47, p=.036). Conclusion: Comparing the experiences between virtual simulation practice training and high fidelity simulation practice training, which has increased in demand due to the Coronavirus Disease-2019 pandemic, is meaningful as it provides practical data for introspection and reflection on in-campus clinical education.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.89.3-89
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• 2001

Recently computer graphic technology has achieved remarkable development. Applications of this technology to various fields are expected. In this study, one application of computer graphics to the medical field is shown. We developed a rehabilitation system of hand manipulation using virtual reality aiming to offer enjoyable rehabilitation training to physically handicapped people with upper limb disabilities. This rehabilitation system generates training environments for upper limbs, such as moving balls in virtual space of computer. And by using data glove as a sophisticated input device, a user can manipulate objects in virtual space by his hand. By using this rehabilitation system, a user can have rehabilitation training under various conditions without feeling tedious.

• 한국간호교육학회지
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• 제30권3호
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• pp.290-300
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• 2024

Purpose: Nursing clinical practice education is transforming with the advent of mobile education and the unique experiences it offers in caring for virtual patients. For this innovative approach, this study aims to evaluate the efficacy of mobile-based virtual women's breast cancer nursing simulation training content on nursing students' confidence, satisfaction, and learning flow. It also examines the nursing students' virtual patient care experiences. Methods: A mixed methods approach using a convergent design was employed to examine students' cancer care confidence and satisfaction, learning flow, and learning experiences. Quantitative data through online questionnaires and qualitative data through focus group interviews were collected, merged, and analyzed. Results: This study developed a virtual nursing training module aimed at caring for women with breast cancer, a novel approach to facilitate mobile-based simulation training for nursing students. Data were analyzed using descriptive analysis, a chi-squared test, Fisher's exact test, t-test for participant homogeneity (experimental: 20, control: 20), independent t-test, and paired t-test. Satisfaction (t=3.53, p=.001) and confidence (t=4.07, p=.001), as well as flow (t=3.78, p=.001), significantly improved in the experimental group compared to the control group. Two core themes and five sub-themes were derived from the experimental group's experiences acquired by caring for women with breast cancer virtually, including that the students "Virtually cared for breast cancer patients, learning as if real." Conclusion: The mobile-based virtual nursing simulation training content allowed nursing students to upgrade their comprehensive nursing care skills by experiencing a fun and practical environment made possible by a new learning method.

• Journal of Welding and Joining
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• 제31권5호
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• pp.35-40
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• 2013

In this paper, we propose the Tangible Virtual Reality Representation Method to using haptic device and feature to morphology of created bead from Flux Cored Arc Welding. The virtual reality was started to rising for reduce to consumable materials and welding training risk. And, we will expected maximize virtual reality from virtual welding training. In this paper proposed method is get the database to changing the input factor such as work angle, travelling angle, speed, CTWD. And, it is visualization to bead from extract to optimal morphological feature information to using the Neural Network algorithm. The database was building without error to extract data from automatic robot welder. Also, the Neural Network algorithm was set a dataset of the highest accuracy from verification process in many times. The bead was created in virtual reality from extract to morphological feature information. We were implementation to final shape of bead and overlapped in process by time to using bead generation algorithm and calibration algorithm for generate to same bead shape to real database in process of generating bead. The best advantage of virtual welding training, it can be get the many data to training evaluation. In this paper, we were representation bead to similar shape from generated bead to Flux Cored Arc Welding. Therefore, we were reduce the gap to virtual welding training and real welding training. In addition, we were confirmed be able to maximize the performance of education from more effective evaluation system.

• ETRI Journal
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• 제44권2호
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• pp.327-338
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• 2022

Classification models for human action recognition require robust features and large training sets for good generalization. However, data augmentation methods are employed for imbalanced training sets to achieve higher accuracy. These samples generated using data augmentation only reflect existing samples within the training set, their feature representations are less diverse and hence, contribute to less precise classification. This paper presents new data augmentation and action representation approaches to grow training sets. The proposed approach is based on two fundamental concepts: virtual video generation for augmentation and representation of the action videos through robust features. Virtual videos are generated from the motion history templates of action videos, which are convolved using a convolutional neural network, to generate deep features. Furthermore, by observing an objective function of the genetic algorithm, the spatiotemporal features of different samples are combined, to generate the representations of the virtual videos and then classified through an extreme learning machine classifier on MuHAVi-Uncut, iXMAS, and IAVID-1 datasets.

• 융합정보논문지
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• 제10권10호
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• pp.100-108
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• 2020

본 연구의 목적은 간호대학생에게 가상 현실 시뮬레이션 교육과 교외 임상실습을 통합한 교육을 적용한 후의 자기효능감, 임상수행능력 및 비판적 사고 성향의 차이를 확인하여 효과적인 실습교육의 기초자료로 제공하기 위함이다. 본 연구는 2020년 6월 8일부터 7월 3일까지 G시 소재 대학 3학년에 재학 중이며, 가상 현실 시뮬레이션 교육과 교외 임상실습을 받은 경험이 없는 간호대학생 30명을 대상으로 하였다. 자료분석은 Paired t-test로 분석하였다. 연구결과, 가상 현실 시뮬레이션 교육과 교외 임상실습을 통합한 교육을 적용한 후 자기효능감, 임상수행능력 및 비판적 사고 성향정도가 교육 전보다 통계적으로 유의하게 높아진 것으로 나타났다. 본 연구에서 간호대학생의 가상 현실 시뮬레이션 교육과 교외 임상실습을 통합한 교육은 임상수행능력 향상과 더불어 비판적 사고 성향, 자기효능감을 향상시키는 것으로 확인되어 교외 임상실습 전 임상상황에 맞는 다양한 가상 현실 시뮬레이션 교육이 필요할 것으로 사료된다.

• 한국항공운항학회지
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• 제26권4호
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• pp.129-141
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• 2018

In this paper, two different flight training devices were constructed to verify the effectiveness of a pilot training system based on a Virtual Reality Head Mount Display. VFR Flight Procedure and IFR Flight Procedure were conducted by high level pilots with Commercial Pilot Licence. Flight data and pilot's visual data for each flight procedure were extracted, compared and analyzed with two training systems. Finally, the effectiveness of the training systems based on the VR HMD was demonstrated by assessing the given mission and the flight results.

• 한국산학기술학회논문지
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• 제22권4호
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• pp.345-352
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• 2021

육군은 교육훈련 효과를 향상시키기 위해 노력을 경주하고 있다. 그러나 실제 훈련 시 많은 제한사항으로 인해 실전적인 교육훈련이 제한된다. 이러한 제한사항을 극복하기 위해 가상현실 기술을 활용하고 있다. 가상현실 기술은 다양한 유형으로 발전하고 있으며, 육군은 비용 대 교육효과를 고려하여 가상현실 훈련체계를 도입할 필요가 있다. 육군은 실제 장비와 유사하게 제작된 고비용의 시뮬레이터형을 주로 사용하고 있다. 최근에는 HMD(Head Mounted Display, 이하 HMD)를 착용한 저비용의 몰입형 가상현실 훈련체계도 사용 중이다. 본 연구는 육군 방공학교에서 운영중인 시뮬레이터형과 몰입형 가상현실 훈련체계에 대한 비용 대 교육효과를 분석한다. 연구 방법은 첫 번째, 계층적 분석기법(AHP : Analytic Hierarchy Process, 이하 AHP)으로 교육효과를 분석한다. 두 번째, 비용은 가상현실 훈련체계의 제작 비용을 적용하여 비용 대 교육효과를 분석한다. 분석결과, 비용 대 교육효과는 몰입형이 시뮬레이터형보다 3.4배 높은 것으로 확인되었다. 이번 연구결과를 통해 가상현실 훈련체계의 비용 대 교육효과 분석을 위한 기초자료로 활용이 가능 할 것이다.

• PNF and Movement
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• 제10권2호
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• pp.41-46
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• 2012

Purpose : This study investigated the effect of 4 weeks training of virtual reality game on balance and gait ability, depression of elderly people. Methods : The subjects of this study were 12 elderly people over 65 age. The subjects were treated by training using virtual reality gam (during 60 minutes, 3 times a week for 4 weeks). The results of the experiment were analyzed using paired T-test along with averages and standard deviations as the statistical methods for data analyses. Results : In comparison of depression, gait and balance ability between pre-test and post-test, there were statistically significant differences. Conclusion : Our study finding indicate that training using virtual reality game could improve balance and gait ability, depression in elderly people. According to our study, training using virtual reality game is judged to be used for elderly people with gait and balance problems, depression to prevent fall down.