• Journal of Broadcast Engineering
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• v.23 no.6
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• pp.876-885
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• 2018

Although e-sports broadcasting market based on VR(Virtual Reality) is growing in these days, technology development for securing market competitiveness is quite inadequate in Korea. Global companies such as SLIVER and Facebook already developed and are trying to commercialize 360 VR broadcasting technology which is able to broadcast e-sports in 4K 30FPS VR video. However, 2D video is too poor to use for 360 VR video in that it brings less immersive experience and dizziness and has low resolution in the scene. this paper, we not only proposed and implemented virtual camera technology which is able to capture in-game space as 360 video with 4K 3D by 60FPS for e-sports VR broadcasting but also verified feasibleness of obtaining stereo 360 video up to 4K/60FPS by conducting experiment after setting up virtual camera in sample games from game engine and commercial games.

• The Journal of the Korean dental association
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• v.57 no.2
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• pp.52-63
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• 2019

Technological advances in contemporary medicine has discovered the causes of countless diseases and recorded a noticeable medical performance. As technology develops, the role of hospitals is expanding to include disease prevention of inpatients, on top of their fundamental role of treating diseases. Recently, hospitals are becoming more influential as they create environments to provide comfort and stability to patients. In this regard, contemporary hospitals are increasingly shifting their focus to create a patient-centric environment as well as develop into humanistic establishments. The same goes to dentists, as well. Since inpatients often have fear and frustration over treatment, hospitals should figure out the environmental factors that are more effective and relaxing for patients and design medical services to provide them. The patients' movement and spaces during their treatment were categorized by stages and collected for gazing information using eye tracking. It analyzed users' gaze information according to Heatmap analysis of distribution and frequency and was determined the presence or absence of stimuli on the components of space. This research is an advanced research to study and enhance treatment environment based on the analysis of patients' gazes. It attempted to create an opportunity to get closer to patient-centric environment by understanding the stimulants and obstacles and controlling the background settings.

• Journal of the Korea Convergence Society
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• v.10 no.4
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• pp.139-145
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• 2019

This paper investigated the strength and stiffness of composite truss unit structures. The model used is a core-filled model combining the Kagome model and the cube truss model. The material properties used for the analysis are 304 stainless steel with elastic modulus of 193 GPa and yield stress of 215 MPa. The theoretical equation is derived from the relative elasticity relation of Gibson - Ashby ratio, the analysis was performed using Deform 3D, a commercial tool. In conclusion, the relative elasticity for this unit model correlates with 1.25 times the relative density and constant coefficient, elasticity is inversely proportional to pore size. The relative compressive strength has a correlation with relative density of 1.25 times. Proof of this is a real experiment, the derived theoretical relationship should further consider mechanical behavior such as bending and buckling. In the future, it is hoped that the research on the elasticity and the stress according to the structure of the three-dimensional space will be continued.

• Journal of the Korea Fashion and Costume Design Association
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• v.23 no.3
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• pp.11-21
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• 2021

Virtual reality is currently mainly used in games, but is starting to be applied as a variety of media fields, such as broadcasting and film. Virtual reality provides more fun than reality, and can provide new experiences in areas that cannot be experienced in reality due to the constraints of time, space, and environment. In particular, as the social non-contact arena has increased due to COVID-19, it is being applied to education, health, and medical industries. The contents are further expanding into design and military fields. Therefore, the purpose of this study was to observe the change in distribution of load and pressure felt by the body in the flying state while wearing a short pants harness, which are mainly used in the game and entertainment industry. In the experiment, the average pressure in the flying state was measured by attaching a pressure sensor to the back and front of a human mannequin. As a result, it was confirmed that the load concentrated on the waist in the flying state was 44 N, with a pressure of 1353 kPa. The pressure distribution was concentrated in front of the center of gravity, and was measured was at 98% by the pressure sensors, with an average pressure value of approximately 15 kPa, and a pressure value of approximately 12 kPa at the back, which was measured at 67% by the pressure sensor. The results of the load and pressure distribution measurement are presented as fundamental data to improve the wearability and comfort of harnesses in the future, and are compared to actual measured pressure values by analyzing the clothing pressure in flight through virtual wear of harnesses through the CLO 3D program.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.5
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• pp.637-644
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• 2021

In general, in the fields of computer vision, robotics, and augmented reality, the importance of 3D space and 3D object detection and recognition technology has emerged. In particular, since it is possible to acquire RGB images and depth images in real time through an image sensor using Microsoft Kinect method, many changes have been made to object detection, tracking and recognition studies. In this paper, we propose a method to improve the quality of 3D reconstructed images by processing images acquired through a depth-based (RGB-Depth) camera on a multi-view camera system. In this paper, a method of removing noise outside an object by applying a mask acquired from a color image and a method of applying a combined filtering operation to obtain the difference in depth information between pixels inside the object is proposed. Through each experiment result, it was confirmed that the proposed method can effectively remove noise and improve the quality of 3D reconstructed image.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.21 no.6
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• pp.171-181
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• 2011

Proposed in this paper is the intelligent video surveillance system to effectively detect multiple loitering objects even that disappear from the out of camera's field of view and later return to a target zone. After the background and foreground are segmented using Gaussian mixture model and shadows are removed, the objects returning to the target zone is recognized using the chromaticity histogram and the duration of loitering is preserved. For more accurate measurement of the loitering behavior, the camera calibration is also applied to map the image plane to the real-world ground. Hence, the loitering behavior can be detected by considering the time duration of the object's existence in the real-world space. The experiment was performed using loitering video and all of the loitering behaviors are accurately detected.

• Journal of Convergence for Information Technology
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• v.11 no.6
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• pp.219-225
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• 2021

As for the battery package method, a prismatic package method is preferred for stability reasons, but it is rapidly expanding due to the stability verification of a pouch type package. The pouch type using the lamination process has an advantage of high battery energy density because it can reduce space waste, but has a disadvantage of low productivity. Therefore, in this paper, by extracting edge detection algorithm precision, pattern algorithm precision, and motion controller recall rate by improving backlight lighting fixtures to minimize light diffusion, securing standards for stereo camera position relationship displacement monitoring, and securing standards for lens release monitoring. We propose to implement a system that ensures accuracy and reliability in positioning. As a result of the experiment, the proposed system shows an average error range of 0.032mm for edge detection, 0.02mm for pattern algorithm, and 0.014mm for motion controller, thus ensuring the accuracy and reliability of the positioning mechanism.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.6
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• pp.1031-1041
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• 2020

Cloud computing technology plays an important role in the deep learning industry as deep learning services are deployed frequently on top of cloud infrastructures. In such cloud environment, virtualization technology provides logically independent and isolated computing space for each tenant. However, recent studies demonstrate that by leveraging vulnerabilities of virtualization techniques and shared processor architectures in the cloud system, various side-channels can be established between cloud tenants. In this paper, we propose a novel attack scenario that can steal internal information of deep learning models by exploiting the Meltdown vulnerability in a multi-tenant system environment. On the basis of our experiment, the proposed attack method could extract internal information of a TensorFlow deep-learning service with 92.875% accuracy and 1.325kB/s extraction speed.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.590-601
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• 2021

The current study explored how robot's persuasive intent and its' physical distance affect consumers' evaluaton on the robot and the product that the robot advertises. This study administered a 2 (level of pursasion intent: low vs. high) × 2 (physical distance: normal vs. close) between-subjects factorial design experiment. The findings revealed that consumers evaluated the robot' expertise and trustworthiness more negatively and reported lower intentions to buy the produce when they perceived robot's persasive intent saliently high. Consumers were also found to show more negative attitude toward the robot and lower intentions to buy the produce when the robot approached to their personal space more closely. The theoretical and practical implications about human-robot interaction in marketing context were discussed.

• Environmental and Resource Economics Review
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• v.30 no.1
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• pp.1-26
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• 2021

This paper aims to examine economic values of green spaces for non-Capital areas that have been rarely studied. Choice experiments were applied to two dissimilar but adjoining areas: The City of Jeonju and Wanju County. Split-sample surveys allowed to compare between apartment dwellers and single- or multi-family house dwellers, and across differing types of green spaces. According to the results, significant and substantial preferences might prevail not only for large cities, but also for agricultural areas. The mean willingness-to-pay (WTP) values of apartment dwellers for the view of a river/lake or mountain were generally smaller than those of Seoul, while the overall access values showed the opposite relationships. House dwellers in Jeonju showed substantially larger economic values for green spaces than those of the counterparts in Seoul, except for the access value of a river/lake. The findings grant follow-up studies investigating the reasons for the anomalous preferences particularly in Jeonju and identifying new management policies for non-Capital areas.