• Title/Summary/Keyword: 가상의 위치

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Development of Simplified Immersed Boundary Method for Analysis of Movable Structures (가동물체형 구조물 해석을 위한 Simplified Immersed Boundary법의 개발)

  • Lee, Kwang-Ho;Kim, Do-Sam
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.33 no.3
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    • pp.93-100
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    • 2021
  • Since the IB (Immersed Boundary) method, which can perform coupling analysis with objects and fluids having an impermeable boundary of arbitrary shape on a fixed grid system, has been developed, the IB method in various CFD models is increasing. The representative IB methods are the directing-forcing method and the ghost cell method. The directing-forcing type method numerically satisfies the boundary condition from the fluid force calculated at the boundary surface of the structure, and the ghost-cell type method is a computational method that satisfies the boundary condition through interpolation by placing a virtual cell inside the obstacle. These IB methods have a disadvantage in that the computational algorithm is complex. In this study, the simplified immersed boundary (SIB) method enables the analysis of temporary structures on a fixed grid system and is easy to expand to three proposed dimensions. The SIB method proposed in this study is based on a one-field model for immiscible two-phase fluid that assumes that the density function of each phase moves with the center of local mass. In addition, the volume-weighted average method using the density function of the solid was applied to handle moving solid structures, and the CIP method was applied to the advection calculation to prevent numerical diffusion. To examine the analysis performance of the proposed SIB method, a numerical simulation was performed on an object falling to the free water surface. The numerical analysis result reproduced the object falling to the free water surface well.

Analysis of news bigdata on 'Gather Town' using the Bigkinds system

  • Choi, Sui
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.3
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    • pp.53-61
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    • 2022
  • Recent years have drawn a great attention to generation MZ and Metaverse, due to 4th industrial revolution and the development of digital environment that blurs the boundary between reality and virtual reality. Generation MZ approaches the information very differently from the existing generations and uses distinguished communication methods. In terms of learning, they have different motivations, types, skills and build relationships differently. Meanwhile, Metaverse is drawing a great attention as a teaching method that fits traits of gen MZ. Thus, the current research aimed to investigate how to increase the use of Metaverse in Educational Technology. Specifically, this research examined the antecedents of popularity of Gather Town, a platform of Metaverse. Big data of news articles have been collected and analyzed using the Bigkinds system provided by Korea Press Foundation. The analysis revealed, first, a rapid increasing trend of media exposure of Gather Town since July 2021. This suggests a greater utilization of Gather Town in the field of education after the COVID-19 pandemic. Second, Word Association Analysis and Word Cloud Analysis showed high weights on education related words such as 'remote', 'university', and 'freshman', while words like 'Metaverse', 'Metaverse platform', 'Covid19', and 'Avatar' were also emphasized. Third, Network Analysis extracted 'COVID19', 'Avatar', 'University student', 'career', 'YouTube' as keywords. The findings also suggest potential value of Gather Town as an educational tool under COVID19 pandemic. Therefore, this research will contribute to the application and utilization of Gather Town in the field of education.

A Study on Creation of Secure Storage Area and Access Control to Protect Data from Unspecified Threats (불특정 위협으로부터 데이터를 보호하기 위한 보안 저장 영역의 생성 및 접근 제어에 관한 연구)

  • Kim, Seungyong;Hwang, Incheol;Kim, Dongsik
    • Journal of the Society of Disaster Information
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    • v.17 no.4
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    • pp.897-903
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    • 2021
  • Purpose: Recently, ransomware damage that encrypts victim's data through hacking and demands money in exchange for releasing it is increasing domestically and internationally. Accordingly, research and development on various response technologies and solutions are in progress. Method: A secure storage area and a general storage area were created in the same virtual environment, and the sample data was saved by registering the access process. In order to check whether the stored sample data is infringed, the ransomware sample was executed and the hash function of the sample data was checked to see if it was infringed. The access control performance checked whether the sample data was accessed through the same name and storage location as the registered access process. Result: As a result of the experiment, the sample data in the secure storage area maintained data integrity from ransomware and unauthorized processes. Conclusion: Through this study, the creation of a secure storage area and the whitelist-based access control method are evaluated as suitable as a method to protect important data, and it is possible to provide a more secure computing environment through future technology scalability and convergence with existing solutions.

Drone Obstacle Avoidance Algorithm using Camera-based Reinforcement Learning (카메라 기반 강화학습을 이용한 드론 장애물 회피 알고리즘)

  • Jo, Si-hun;Kim, Tae-Young
    • Journal of the Korea Computer Graphics Society
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    • v.27 no.5
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    • pp.63-71
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    • 2021
  • Among drone autonomous flight technologies, obstacle avoidance is a very important technology that can prevent damage to drones or surrounding environments and prevent danger. Although the LiDAR sensor-based obstacle avoidance method shows relatively high accuracy and is widely used in recent studies, it has disadvantages of high unit price and limited processing capacity for visual information. Therefore, this paper proposes an obstacle avoidance algorithm for drones using camera-based PPO(Proximal Policy Optimization) reinforcement learning, which is relatively inexpensive and highly scalable using visual information. Drone, obstacles, target points, etc. are randomly located in a learning environment in the three-dimensional space, stereo images are obtained using a Unity camera, and then YOLov4Tiny object detection is performed. Next, the distance between the drone and the detected object is measured through triangulation of the stereo camera. Based on this distance, the presence or absence of obstacles is determined. Penalties are set if they are obstacles and rewards are given if they are target points. The experimennt of this method shows that a camera-based obstacle avoidance algorithm can be a sufficiently similar level of accuracy and average target point arrival time compared to a LiDAR-based obstacle avoidance algorithm, so it is highly likely to be used.

A Study on the Metaverse as an Arts Educational Medium - Focusing on ifland of the SKT Metaverse Platform (예술교육 매체로서 메타버스 사례 연구 - SK텔레콤 ifland를 중심으로)

  • KIM, JOY
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.4
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    • pp.391-396
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    • 2021
  • The purpose of this study is to study the possibilities and limitations of arts education by utilizing SKT's ifland metaverse Platform for arts majors. To summarize the performance of the study, it is as follows. The subjects of the study were 50 students(25 experimental group, 25 control group) in Performing Arts, Entertainment and Music department of D University located at Gyeonggi, Korea. As a result of analyzing the difference between the pre-test and the post-test between the experimental group and the control group, it was found that there was a statistically significant effect on the effectiveness of the arts education method using the metaverse of the control group. It is hoped that the results of this study will be a case study that cannot be overlooked in the development of the today's arts educational medium as well as the virtual world in the field of arts and in cultural technology research, arts education is no longer a latecomer, but a leading pioneer and main agent, and I hope that it will become a new perspective for various studies connected with industry like the WAVE.

Characteristics of Tide-induced Flow and its Effect on Pollutant Patterns Near the Ocean Outfall of Wastewater Treatment Plants in Jeju Island in Late Spring (제주도 하수처리장 해양방류구 인근해역의 늦은 봄철 조류 특성과 조석잔차류에 의한 오염물질의 분포 특성)

  • KIM, JUN-TECK;HONG, JI-SEOK;MOON, JAE-HONG;KIM, SANG-HYUN;KIM, TAE-HOON;KIM, SOO-KANG
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.26 no.2
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    • pp.63-81
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    • 2021
  • In this study, we investigated the tide-induced flow patterns near the ocean outfall of the Jeju and Bomok Wastewater Treatment Plants (WTP) in Jeju Island by using measurements of Acoustic Doppler Current Meter (ADCP) and a numerical experiment with inserting passive tracer into a regional ocean model. In late spring of 2018, the ADCP measurements showed that tidal currents dominate the flow patterns as compared to the non-tidal components in the outfall regions. According to harmonic analysis, the dominant type of tides is mixed of diurnal and semi-diurnal but predominantly semidiurnal, showing stronger oscillations in the Jeju WTP than those in the Bomok WTP. The tidal currents oscillate parallel to the isobath in both regions, but the rotating direction is different each other: an anti-clockwise direction in the Jeju WTP and a clockwise in the Bomok WTP. Of particular interest is the finding that the residual current mainly flows toward the coastline across the isobath, especially at the outfall of the Bomok WTP. Our model successfully captures the features of tidal currents observed near the outfall in both regions and indicates possibly high persistent pollutant accumulation along the coasts of Bomok.

Metaverse Augmented Reality Research Trends Using Topic Modeling Methodology (토픽 모델링 기법을 활용한 메타버스 증강현실 연구 동향 분석)

  • An, Jaeyoung;Shim, Soyun;Yun, Haejung
    • Knowledge Management Research
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    • v.23 no.2
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    • pp.123-142
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    • 2022
  • The non-face-to-face environment accelerated by COVID-19 has speeded up the dissemination of digital virtual ecosystems and metaverse. In order for the metaverse to be sustainable, digital twins that are compatible with the real world are key, and critical technology for that is AR (Augmented Reality). In this study, we examined research trends about AR, and will propose the directions for future AR research. We conducted LDA based topic modeling on 11,049 abstracts of published domestic and foreign AR related papers from 2009 to Mar 2022, and then looked into AR that was comprehensive research trends, comparison of domestic and foreign research trends, and research trends before and after the popularity of metaverse concepts. As a result, the topics of AR related research were deduced from 11 topics such as device, network communication, surgery, digital twin, education, serious game, camera/vision, color application, therapy, location accuracy, and interface design. After popularity of metaverse, 6 topics were deduced such as camera/vision, training, digital twin, surgical/surgical, interaction performance, and network communication. We will expect, through this study, to encourage active research on metaverse AR with convergent characteristics in multidisciplinary fields and contribute to giving useful implications to practitioners.

Study on Improvement Plans for Installation and Operation of Traffic Safety Facilities according to Differences in Perception Methods and Range of Autonomous Vehicles and Human Vehicles (자율주행차량과 일반차량의 인지 방식과 범위의 차이에 따른 교통안전시설 설치 및 운영 개선방안 연구)

  • Hyeokjun Jang;Eunjeong Ko;Eum Han;Kitae Jang
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.1
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    • pp.311-326
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    • 2023
  • This paper proposes a plan to improve the installation and operation of traffic safety facilities using a microscopic simulation by confirming the difference in the perception method and range of autonomous vehicles and human vehicles. In this study, the existing 『Traffic Safety Sign Installation·Management Guidelines』 was reviewed, and safety signs among traffic safety facilities were classified according to changes in vehicle behavior. Subsequently, for the classified facilities, the installation location of the traffic sign was changed through simulation experiments, and the optimal location was inferred to suggest an improvement plan. This study confirmed how traffic safety facilities installed based on the visibility of human drivers affect road efficiency and safety in mixed traffic flow with autonomous vehicles and human-controlled vehicles. The optimal location derived through this study is meaningful because it can be used as the basis for revising the guidelines on the installation and management of traffic safety facilities.

Drone-mounted fruit recognition algorithm and harvesting mechanism for automatic fruit harvesting (자동 과일 수확을 위한 드론 탑재형 과일 인식 알고리즘 및 수확 메커니즘)

  • Joo, Kiyoung;Hwang, Bohyun;Lee, Sangmin;Kim, Byungkyu;Baek, Joong-Hwan
    • Journal of Aerospace System Engineering
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    • v.16 no.1
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    • pp.49-55
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    • 2022
  • The role of drones has been expanded to various fields such as agriculture, construction, and logistics. In particular, agriculture drones are emerging as an effective alternative to solve the problem of labor shortage and reduce the input cost. In this study therefore, we proposed the fruit recognition algorithm and harvesting mechanism for fruit harvesting drone system that can safely harvest fruits at high positions. In the fruit recognition algorithm, we employ "You-Only-Look-Once" which is a deep learning-based object detection algorithm and verify its feasibility by establishing a virtual simulation environment. In addition, we propose the fruit harvesting mechanism which can be operated by a single driving motor. The rotational motion of the motor is converted into a linear motion by the scotch yoke, and the opened gripper moves forward, grips a fruit and rotates it for harvesting. The feasibility of the proposed mechanism is verified by performing Multi-body dynamics analysis.

Simulating tentacle Creature with External Magnetism for Animatronics (외부 자력을 이용한 촉수 생명체 애니매트로닉스 시뮬레이션)

  • Ye Yeong Kim;Do Hee Kim;Ju Ran Kim;Na Hyun Oh;Myung Geol Choi
    • Journal of the Korea Computer Graphics Society
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    • v.29 no.5
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    • pp.1-9
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    • 2023
  • The control technology of animatronics is an interesting topic explored in various fields, including engineering, medicine, and art, with ongoing research efforts. The conventional method for controlling the movement of animatronics is to use electric motors installed inside the body. However, this method is difficult to apply when expressing a narrow space inside the body. In this study, a method of using external forces instead of installing mechanical devices inside the body was proposed to control the movement of a thin and long tentacle organism. Specifically, in this study, the joint body of animatronics was made of magnetic metal material so that it could be affected by the force of an externally installed electromagnet. The strength of the electromagnet was controlled by a PID controller to enable real-time control of the position of the animatronics body. In addition, the magnet was made to rotate, and the speed of rotation was changed to create various movements. Through virtual environment simulations, our experiments demonstrate the superiority of the proposed method, showcasing real-time control by users and the creation of animations in various styles.