• The Journal of the Korea institute of electronic communication sciences
• /
• v.14 no.4
• /
• pp.737-742
• /
• 2019

This paper is a study on the production of mixedeality contents by realizing AR coloring technology, virtual environment, and VR devices by realizing the interaction in virtual environment. In this study, we designed and produced the content from a fairy tale called 'Cinderella' to produce and demonstrate real mixed reality contents. 'Cinderella' shows 3D modeling in the virtual space using the Oculus Rift, and the modeled shoes can be lifted using Leap-Motion. It is a virtual augmented interaction content for exhibition and experience that can move a specific range from the foot on the treadmill. In this paper, we try to share the experience of creating new mixed reality game contents, which is a mixture of augmented reality and virtual reality technology, and continuation of universal use of this field.

• Journal of the Korea Society of Computer and Information
• /
• v.26 no.4
• /
• pp.239-245
• /
• 2021

Due to the fourth industrial revolution and the Corona19, the availability of digital devices such as kiosks is a matter directly related to survival for older adults with digital divide. This paper analyzes the problems of existing information service education for older adults and proposes an IT education strategy tailored to aging and life cycle of older adults. The proposed in this study is an educational application-based IT training method that supports repetitive learning regardless of time and place, developing kiosk function as a functional game-type educational application and experimenting with post-training effectiveness. The research method proposed UI usability evaluation frame for older adults, and developed educational applications based on proposed evaluation frame, and conducted kiosk education. As a result of the experiment, the mission success rate after using the IT application was 80.6%, which is a 55.1%P improvement compared to the pre-use(25.5%). This study confirmed that the proposed education for older adults is a way to overcome the limitations of existing IT education in the current situation.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.2
• /
• pp.20-25
• /
• 2021

The target-object classification method was implemented using a deep-learning-based detection model in real-time images. The object detection model was a deep-learning-based detection model that allowed extensive data collection and machine learning processes to classify similar target-objects. The recognition model was implemented by changing the processing structure of the detection model and combining developed the vision-processing module. To classify the target-objects, the identity and similarity were defined and applied to the detection model. The use of the recognition model in industry was also considered by verifying the effectiveness of the recognition model using the real-time images of an actual soccer game. The detection model and the newly constructed recognition model were compared and verified using real-time images. Furthermore, research was conducted to optimize the recognition model in a real-time environment.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.14 no.12
• /
• pp.4682-4705
• /
• 2020

The Unmanned Aerial Vehicles (UAV) networks consisting of low-cost UAVs are very vulnerable to smart jammers that can choose their jamming policies based on the ongoing communication policies accordingly. In this article, we propose a novel cloud and edge-aided mobile communication scheme for low-cost UAV network against smart jamming. The challenge of this problem is to design a communication scheme that not only meets the requirements of defending against smart jamming attack, but also can be deployed on low-cost UAV platforms. In addition, related studies neglect the problem of decision-making algorithm failure caused by intermittent ground-to-air communication. In this scheme, we use the policy network deployed on the cloud and edge servers to generate an emergency policy tables, and regularly update the generated policy table to the UAVs to solve the decision-making problem when communications are interrupted. In the operation of this communication scheme, UAVs need to offload massive computing tasks to the cloud or the edge servers. In order to prevent these computing tasks from being offloaded to a single computing resource, we deployed a lightweight game algorithm to ensure that the three types of computing resources, namely local, edge and cloud, can maximize their effectiveness. The simulation results show that our communication scheme has only a small decrease in the SINR of UAVs network in the case of momentary communication interruption, and the SINR performance of our algorithm is higher than that of the original Q-learning algorithm.

• The Journal of the Korea Contents Association
• /
• v.21 no.1
• /
• pp.434-445
• /
• 2021

With the development of realistic content technology and related infrastructure, interest in the use of virtual reality content is growing. Accordingly, in the field of safety education, more and more cases of producing virtual reality-based safety education (VR safety education) contents such as experiencing disaster situations realistically by supplementing the shortcomings of existing lecture-style education. This study looked at the characteristics and effects of VR safety education compared to the existing safety education, and analyzed 104 VR safety education contents produced and disclosed to date into nine classifications based on content and form. Based on the degree of relevance between items and the two axes of 'interactionability' and 'vividness of the environment', VR safety education contents could be categorized into three types: tangible lecture type, simulation type, and game type. Through this study, we hope to contribute to the planning and production of quality VR safety education contents by considering the purpose of safety education and the characteristics of types with the expected effects.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.24 no.7
• /
• pp.849-856
• /
• 2020

Recently, as the number of high-height vehicles such as double-decker buses has increased, collision accidents have occurred in bridges and tunnels due to the deviation from the designated routes and driver's carelessness. In the case of the existing front collision warning system, it is limited to vehicles and pedestrians, so it is difficult to use it as a pass height warning system for the high height vehicles. In this paper, we propose a system that generates a warning by determining the correlation and time series characteristics of data for each segment using multiple lidar sensors and then determining the possibility of collision in the upper part of the vehicle. Also, the proposed system confirmed the proper operation through a real-time driving test and a system performance evaluation by the Korea Automobile Testing & Research Institute.

• Journal of Broadcast Engineering
• /
• v.27 no.2
• /
• pp.207-215
• /
• 2022

The latest volumetric technology's high geometrical accuracy and realism ensure a high degree of correspondence between the real object and the captured 3D model. Nevertheless, since the 3D model obtained in this way constitutes a sequence as a completely independent 3D model between frames, the consistency of the model surface structure (geometry) is not guaranteed for every frame, and the density of vertices is very high. It can be seen that the interconnection node (Edge) becomes very complicated. 3D models created using this technology are inherently different from models created in movie or video game production pipelines and are not suitable for direct use in applications such as real-time rendering, animation and simulation, and compression. In contrast, our method achieves consistency in the quality of the volumetric 3D model sequence by linking re-meshing, which ensures high consistency of the 3D model surface structure between frames and the gradual deformation and texture transfer through correspondence and matching of non-rigid surfaces. And It maintains the consistency of volumetric 3D model sequence quality and provides post-processing automation.

• Journal of Broadcast Engineering
• /
• v.27 no.5
• /
• pp.638-653
• /
• 2022

In this paper, we propose the new method of creating 3D virtual-human reflecting the pattern of clothes worn by the person in the high-resolution whole body front image and the body shape data about the person. To get the pattern of clothes, we proceed Instance Segmentation and clothes parsing using Cascade Mask R-CNN. After, we use Pix2Pix to blur the boundaries and estimate the background color and can get UV-Map of 3D clothes mesh proceeding UV-Map base warping. Also, we get the body shape data using SMPL-X and deform the original clothes and body mesh. With UV-Map of clothes and deformed clothes and body mesh, user finally can see the animation of 3D virtual-human reflecting user's appearance by rendering with the state-of-the game engine, i.e. Unreal Engine.

• Journal of the Korea Society of Computer and Information
• /
• v.28 no.2
• /
• pp.47-53
• /
• 2023

In this paper, based on the generalization and popularization of NFT, the utilization idea of using NFT in e-sports was proposed. We considered ways to utilize NFTs to make access to e-sports easy for all users and to secure users from various age groups. To this end, cases of NFTs with diversity in e-sports platforms were analyzed by type, and the degree of use of NFTs in e-sports was identified through a survey. As a result of the study, it was found that the NFT experience in the e-sports game was highly satisfactory and the desire to experience it again was strong. As NFTs have ownership and scarcity as important characteristics, they can respond well to the demand for owning unique items in e-sports. In addition, in marketing, by promoting limited edition products with scarcity, it is possible to promote marketing that creates value with high profitability. When using NFT in e-sports, various NFT functions are combined regardless of the type of sport, so NFT can become an economic infrastructure.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.23 no.1
• /
• pp.1-6
• /
• 2023

Uncanny Valley is a theory proposed by Japanese robot engineer Masahiro Mori in 1970, and refers to the point where the likability drops sharply when the appearance of a robot becomes very similar to a human being without a fully equipped robot. In this study, the theory of existing literature, related papers, and experimental data were analyzed to examine the Uncanny Valley effect that affects character design. The purpose of this study is to analyze whether the Uncanny Valley effect is applied to modeling virtual characters distributed in the Unreal Engine Marketplace. To this end, 15 characters were selected based on the similarity with humans in the Marketplace of the Unreal Engine, and similarity with humans and likability were investigated and analyzed. As a result of the experiment, it was confirmed that the Uncanny Valley effect was similarly applied to virtual character modeling, and through this, guidelines for the use of characters by indie game developers or individual developers using Unreal engines were presented. In addition, through result analysis, we tried to examine the direction to be pursued when designing characters.