• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.131-134
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• 2009

The development of computer graphics leads to high value-added products, such as film, game contents, 3D animation. In realistic animation, it is impossible and inefficient to produce the movement of each objects as handwork to display the various behaviors of a lot of characters. So we need the techniques of the crowd animation which presents the movement of objects realistically and efficiently by calculating automatically. In this paper, we designed a modeler which generates the attitudes of objects in crowd behavior animation using information of 3D models. We developed an animation system for crowd behavior which was applied for animation, VR, or games.

• Journal of Broadcast Engineering
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• v.24 no.2
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• pp.227-233
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• 2019

In this paper, we propose a deep neural network-based sound interpolation method for realizing virtual reality sound. Through this method, sound between two points is generated by using acoustic signals obtained from two points. Sound interpolation can be performed by statistical methods such as arithmetic mean or geometric mean, but this is insufficient to reflect actual nonlinear acoustic characteristics. In order to solve this problem, in this study, the sound interpolation is performed by training the deep neural network based on the acoustic signals of the two points and the target point, and the experimental results show that the deep neural network-based sound interpolation method is superior to the statistical methods.

• Journal of radiological science and technology
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• v.43 no.6
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• pp.519-524
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• 2020

This study developed radiation therapy contents based on virtual reality technology and applied them to radiation students. A survey was conducted to analyze the relationship between learning effects and learning satisfaction to students who used virtual reality education videos to analyze their learning performance. 71 students radiology department were classified into two groups one that experienced virtual reality and the other that did not experienced virtual reality. We surveyed between the two groups analyzed self-directed learning, self-learning efficacy and learning satisfaction. As a result, the comparison between the two groups showed no difference between self-directed learning and self-learning efficacy. But the learning satisfaction was significant from 2.64±0.83 to 3.20±0.88 in the problem solving process for groups applying virtual reality contents. Therefore, learning satisfaction has improved experienced group virtual reality content and the materials for virtual reality education can be applied more efficiently in non-face-to-face lectures.

• Journal of the Semiconductor & Display Technology
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• v.20 no.4
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• pp.6-9
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• 2021

The 3D industry is drawing attention for its applications in various markets, including architecture, media, VR/AR, metaverse, imperial broadcast, and etc.. The current feature of the architecture we are introducing is to make 3D models more easily created and modified than conventional ones. Existing methods for generating 3D models mainly obtain values using specialized equipment such as RGB-D cameras and Lidar cameras, through which 3D models are constructed and used. This requires the purchase of equipment and allows the generated 3D model to be verified by the computer. However, our framework allows users to collect data in an easier and cheaper manner using cell phone cameras instead of specialized equipment, and uses 2D data to proceed with 3D modeling on the server and output it to cell phone application screens. This gives users a more accessible environment. In addition, in the 3D modeling process, object classification is attempted through deep learning without user intervention, and mesh and texture suitable for the object can be applied to obtain a lively 3D model. It also allows users to modify mesh and texture through requests, allowing them to obtain sophisticated 3D models.

• Journal of Sensor Science and Technology
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• v.31 no.5
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• pp.324-329
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• 2022

This paper proposes a shift-register-based multichannel ultrasonic focusing delay control method using a complex programmable logic device (CPLD) for a high resolution of ultrasonic focusing system. The proposed method can achieve the ultrasonic focusing through the delay control of driving signals of each ultrasonic transducer of an ultrasonic array. The delay of the driving signals of all ultrasonic channels can be controlled by setting the shift register in the CPLD. The experiment verified that the frequency of the clock used for the delay control increased, the error of the focusing point decreased, and the diameter of the focusing point decreased as the length of the shift register in the proposed method. The proposed method used only one CPLD for ultrasonic focusing and did not require to use complex hardware circuits. Therefore, the resources required for the design of an ultrasonic focusing system could be reduced. The proposed method can be applied to the fields of human computer interaction (HCI), virtual reality (VR) and augmented reality (AR).

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.517-518
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• 2021

본 논문에서는 게임 개발 플랫폼인 언리얼 엔진 4을 사용하여 가상현실기술을 활용한 복싱 게임을 개발하였다. 복싱 게임을 더욱 실감나게 즐길 수 있도록 하기 위해 양 손에 부착한 VIVE 트래커로 복싱 동작을 모션 트래킹하여 아바타를 제어하였다. 게임 모드의 경우 연습모드와 스파링모드로 구성하였다. 연습모드에서 튜토리얼을 진행하여 게임플레이를 익힌 후 스파링모드에서 AI와 복싱 대결을 하도록 구현하였다. 스파링모드는 AI와 플레이어가 대결을 하며 먼저 체력을 소모시키면 승리하게 된다. 그리고 AI 캐릭터의 애니메이션 재생 속도에 따라 4가지 난이도를 설정할 수 있다. 가상현실 복싱게임은 VR기술을 이용하여 가정에서 간편하게 복싱 운동을 즐길 수 있으며, 더 많은 VIVE 트래커를 활용하면 정밀한 모션 트래킹이 가능하여 현실감을 높일 수 있다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.691-692
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• 2022

IMO 온실가스 규제는 현존선박과 친환경 신조선박의 온실가스 배출에 대하여 차별적으로 규제함으로써 시장경쟁력에 영향을 주어 선주들에게 친환경 신조선박으로 전환을 가속시키고자 하는 것이 핵심이다. 크게 기술적 조치와 운항적 조치, 그리고 시장적 조치가 있으며 세가지 대안 모두 비용적인 측면에서 선주에게 재무적 부담이 될 것으로 예상된. 따라서 본 연구는 온실가스규제에 따른 재무적 부담을 정량적 추정하여 기업의 향후 대응방안과 정책적 지원방안에 대한 제언을 하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.934-936
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• 2022

현재 사회적인(COVID-19) 영향으로 메타버스에 대한 수요가 급증하였지만, 메타버스 플랫폼 진입을 지원하는 XR(AR/VR) 장비의 높은 가격대와 전문성 요구로 폭넓은 수요층을 포괄하기 어려운 상황이다. 본 논문에서는 이러한 수요층의 어려움을 개선하고자 웹 캠이나 스마트폰 카메라로 생성된 개인의 사진 이미지를 StyleGAN 딥러닝 기술과 접목시켜 캐릭터를 생성해 Mediapipe를 활용하여 모션 측정 및 제어를 처리하는 서비스를 제안하여 메타버스 시장의 대중화에 기여하고자 한다.

• Journal of Radiation Industry
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• v.17 no.3
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• pp.265-273
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• 2023

To effectively and safely manage the radiation exposure to nuclear power plant (NPP) workers in accidents, major overseas NPP operators such as the United States, Germany, and France have developed and applied realistic 3D model radiation dose assessment software for workers. Continuous research and development have recently been conducted, such as performing NPP accident management using 3D-VR based on As Low As Reasonably Achievable (ALARA) planning tool. In line with this global trend, it is also required to secure technology to manage radiation exposure of workers in Korea efficiently. Therefore, in this paper, it is described the application method and assessment results of radiation exposure scenarios for workers in response to accidents assessment technology, which is one of the fundamental technologies for constructing a realistic platform to be utilized for radiation exposure prediction, diagnosis, management, and training simulations following accidents. First, the post-accident sampling after the Loss of Coolant Accident(LOCA) was selected as the accident and response scenario, and the assessment area related to this work was established. Subsequently, the structures within the assessment area were modeled using MCNP, and the radiation source of the equipment was inputted. Based on this, the radiation dose distribution in the assessment area was assessed. Afterward, considering the three principles of external radiation protection (time, distance, and shielding) detailed work scenarios were developed by varying the number of workers, the presence or absence of a shield, and the location of the shield. The radiation exposure doses received by workers were compared and analyzed for each scenario, and based on the results, the optimal accident response scenario was derived. The results of this study plan to be utilized as a fundamental technology to ensure the safety of workers through simulations targeting various reactor types and accident response scenarios in the future. Furthermore, it is expected to secure the possibility of developing a data-based ALARA decision support system for predicting radiation exposure dose at NPP sites.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.1009-1014
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• 2009

Meta-thinking is a kind of thinking beyond certain scope or border, which sees objects as an expanded definition exceeding its essence. It can be experienced when people come into contact with new things. As for digital media, experience acquired from computer screen makes users' thinking be changed continuously and help their thinking to be expanded. Today, studies on development of digital technology regarding virtual reality (VR) and experience obtained from digital media become a topic of conversation, however, this experience depends on the sense of sight through screen. Actually, transparent experiences in digital media are not the same with those in real world, therefore, this study investigated experience expansion through interaction with real things which are much closer to daily lives than virtual experiences. It can be found in media art which induces positive participation of audiences and shows them a new meaning through delight and amusement experienced in the process of interaction. Visual expression in digital media should be more than spectacular which is only full of excessive images. In addition, interface should not be remained as an expression from technological attempts, instead, it is necessary to find humans aspiration with meta-thinking which accepts things expansively and visualize their experiences.