• Journal of Practical Engineering Education
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• v.12 no.2
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• pp.309-319
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• 2020

Billiards is a fun and popular sport, but both route planning and cueing prevent beginners from becoming skillful. A beginner in billiards requires constant concentration and training to reach the right level, but without the right motivating factor, it is easy to lose interests. This study aims to induce interest in billiards and accelerate learning by utilizing billiard path prediction and visualization on a highly immersive augmented reality platform that combines a stereo camera and a VR headset. For implementation, the placement of billiard balls is recognized through the OpenCV image processing program, and physics simulation, path search, and visualization are performed in Unity Engine. As a result, accurate path prediction can be achieved. This made it possible for beginners to reduce the psychological burden of planning the path, focus only on accurate cueing, and gradually increase their billiard proficiency by getting used to the path suggested by the algorithm for a long time. We confirm that the proposed AR billiards is remarkably effective as a learning assistant tool.

• Journal of the Korea Society of Computer and Information
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• v.28 no.3
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• pp.67-73
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• 2023

Under the influence of COVID-19, as a measure of social distancing for about two years and one month, non-face-to-face services using ICT element technology are expanding not only to the education sector but to all fields. In particular, as educational programs using the Metaverse platform spread to various fields, educators, and learners have more learning experiences using Edutech, but problems through non-face-to-face learning such as reduced immersion or concentration in education are raising In this paper, to overcome the problems raised through non-face-to-face learning and develop metaverse immersive media digital contents to improve the educational environment, we utilize VR (Virtual Reality) based on an immersive metaverse to provide education / Training contents and the educational environment was established. In this paper, we presented a system to increase immersion and concentration in educational contents in a virtual environment using HMD (Head Mounted Display) for learners who are put into military education/training. Immersion was further improved.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.775-785
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• 2022

By analyzing the operation status of fire safety management of small construction site workers, deriving problems, and suggesting improvement measures, this study was conducted to present practical basic data for their efficient use in the future, and the following conclusions were drawn. First, it was analyzed that small construction site workers are elderly in the age group of construction workers, have short construction skills, most of the jobs are working in the construction industry, and the employment type is non-regular workers. Second, the fire safety management improvement plan of small construction site workers is systematized, fire safety manager is deployed to manage fire risk, fire escape routes and emergency warning facilities are provided to inform all workers at the construction site. In addition, measures to reduce industrial accidents are needed through realistic evacuation training, fire VR training, and interesting educational programs.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.3
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• pp.242-247
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• 2015

In this study, we propose the design of Radial Basis Function Neural Network(RBFNN) classifier in order to classify between precipitation and non-precipitation echo. The characteristics of meteorological radar data is analyzed for classifying precipitation and non-precipitation echo. Input variables is selected as DZ, SDZ, VGZ, SPN, DZ_FR, VR by performing pre-processing of UF data based on the characteristics analysis and these are composed of training and test data. Finally, QC data being used in Korea Meteorological Administration is applied to compare with the performance results of proposed classifier.

• The Journal of Korean Physical Therapy
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• v.21 no.3
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• pp.33-40
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• 2009

Purpose: This study examined the effects of a virtual reality-based exercise program on the functional recovery of balance and gait in chronic stroke subjects. Methods: A total of 42 chronic stroke patients were enrolled in this study. The participants were allocated randomly to 2 groups: a VR (n=22) and control group (n=20). Both groups received treadmill training for 3 sessions (10 minutes each), 30 minutes per week over a 6 week period. The VR group practiced additional virtual reality programs consisting of 3 programs for 10 minutes each. The data was analyzed using a paired t-test and independent t-test to determine the statistical significance. Results: The virtual reality-based exercise group showed significant increases in gait velocity, cadence and stride length compared to the control group (p<0.05). However, there were no significant differences in static balance. Conclusion: These results support the perceived benefits of exercise programs that incorporate virtual reality to augment the balance and ambulation of stroke patients. Therefore, virtual reality is feasible and suitable for stroke patients

• Journal of Korea Game Society
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• v.15 no.3
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• pp.189-200
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• 2015

These days computer graphics technology has been applied in diverse IT fields. Needs for computer graphics such as 3D Printer, Head Mount Display, VR & AR are growing rapidly. Computer graphics will be more specialized and demanding for graphics specialists will be also increased. However, serious mathematical background obstructs people to learning computer graphics. An efficient computer graphics learning system would be helpful for graphics experts training. By analyzing the graphics theory, we propose an educational software system with that students can effectively learn computer graphics. Our system focuses on theoretical objects of computer graphics and enhances accessibility and intuition using web and blocks.

• Industrial Engineering and Management Systems
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• v.11 no.4
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• pp.371-384
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• 2012

This study proposes a multi-level data analysis approach to identify both superficial and latent relationships among variables in the data set obtained from a vocational rehabilitation (VR) services program of people with significant disabilities. At the first layer, data mining and statistical predictive models are used to extract the superficial relationships between dependent and independent variables. To supplement the findings and relationships from the analysis at the first layer, association rule mining algorithms at the second layer are employed to extract additional sets of interesting associative relationships among variables. Finally, nonlinear nonparametric canonical correlation analysis (NLCCA) along with clustering algorithm is employed to identify latent nonlinear relationships. Experimental outputs validate the usefulness of the proposed approach. In particular, the identified latent relationship indicates that disability types (i.e., physical and mental) and severity (i.e., severe, most severe, not severe) have a significant impact on the levels of self-esteem and self-confidence of people with disabilities. The identified superficial and latent relationships can be used to train education program designers and policy developers to maximize the outcomes of VR training programs.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.538-539
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• 2019

타워크레인은 조선, 건설 등 산업 현장에서 중량물 운반 운전을 위한 도구로 사람이 수동 작업으로 대부분 수행된다. 이러한 타워크레인 운전 훈련 과정은 훈련 실습자에게 장시간 교육하기에 비효율적 뿐 아니라 위험한 작업이므로 최근에는 가상 훈련 시뮬레이션을 통해 이루어 지고 있다. 이러한 가상 타워크레인 시뮬레이션을 구현하기 위해서는 기후환경, 중량물, 줄걸이와 같은 외부적 요인도 중요하지만 타워크레인의 운반 중량물과 직접적으로 연결이되는 로프를 정밀하게 표현하는 것이 중요하다. 하지만, 현재 개발된 대다수의 로프는 단면이 원통형을 띄고 있어 물리적인 요인이 작용하였을 때, 회전축이나 물리적인 형태를 가늠하기가 어렵다. 그러므로, 가상의 타워크레인 시뮬레이션 로프를 실제 타워크레인 슬링벨트와 유사한 면의 형태를 가지고 구축하여 실 환경과 유사한 환경에서 숙련된 타워크레인 시뮬레이션을 훈련하기 위한 로프 시뮬레이션이 필요하다. 따라서, 본 논문에서는 로프 시뮬레이션이 실제와 동일한 형태의 슬링벨트를 제공할 뿐만 아니라 로프의 면 형태 구현하고, 물리시뮬레이션을 통해 로프의 사실적인 움직임을 나타낼 수 있는 가상현실(VR) 기반 훈련 로프 시뮬레이션을 제시한다.

• International conference on construction engineering and project management
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• 2020.12a
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• pp.249-256
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• 2020

Historical construction health and safety (H&S) challenges, in terms of a range of resources and issues, continue to be experienced, namely design process-related hazards are encountered on site, workers are unaware of the hazards and risks related to the construction process and its activities, activities are commenced on site without adequate hazard identification and risk assessments (HIRAs), difficulty is experienced in terms of real time monitoring of construction-related activities, workers handle heavy materials, plant, and equipment, and ultimately the experience of injuries. Given the abovementioned, and the advent of Industry 4.0, a quantitative study, which entailed the completion of a self-administered questionnaire online, was conducted among registered professional (Pr) and candidate Construction H&S Agents, to determine the potential of Industry 4.0 to contribute to resolving the challenges cited. The findings indicate that Industry 4.0 technologies such as augmented reality (AR), drone technology, virtual reality (VR), VR based H&S training, and wearable technology /sensors have the potential to resolve the cited H&S challenges as experienced in construction. Conclusions include that Industry 4.0 technologies can finally address the persistent H&S challenges experienced in construction. Recommendations include: employer associations, professional associations, and statutory councils should raise the level of awareness relative to the potential implementation of Industry 4.0 relative to H&S in construction; case studies should be documented and shared; tertiary construction management education programmes should integrate Industry 4.0 into all possible modules, especially H&S-related modules, and continuing professional development (CPD) H&S should address Industry 4.0.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.12-23
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• 2021

This study organizes policy tasks currently being promoted by the government to revitalize the domestic VR and AR industries, which are evaluated to be stagnant compared to major overseas countries, and aims to derive priorities through analysis of an AHP survey for experts in the VR/AR field, and to seek countermeasures based on the analysis results. As a result of classification based on various previous studies, press releases, and policy data, it was divided into 5 major categories and 16 sub-categories: technical issues, awareness improvement, legal/institutional improvement, government support, and manpower development. As a result of the AHP analysis, in the major category, the "government support" appeared as the top priority policy task, followed by the "manpower development". In the sub-categories, "training new manpower" was the most important policy implementation task, followed by "enhancing technological competitiveness". This study is meaningful in that it selects and presents prioritized policy tasks that clearly reflect the position and perspective of the industry on the policy-making situation exposed to the limitations of time and resources, while also presenting practical improvement plans.