• Title/Summary/Keyword: Artificial Reality

Search Result 238, Processing Time 0.023 seconds

3D Visualization Technique Based Tunnel Design (3차원 가시화 기법을 이용한 터널설계)

  • 홍성완;배규진;김창용;서용석;김광염
    • Proceedings of the Korean Geotechical Society Conference
    • /
    • 2002.03a
    • /
    • pp.759-766
    • /
    • 2002
  • In the paper the authors describe the development of ITIS(Intelligent Tunneling Information System) for the Purpose of applying the 3D visualization technique, GIS, AI(Artificial Intelligence) to tunnel design and construction. VR(Virtual Reality) and 3D visualization techniques are applied in order to develope the 3D model of characteristics and structures of ground and rock mass. Database for all the materials related to site investigation and tunnel construction is developed using GIS technique. AI technique such as fuzzy theory and neural network is applied to predict ground settlement, decide tunnel support method and estimate ground and rock mass properties according to tunnel excavation steps. ITIS can help to inform various necessary tunnel information to engineers quickly and manage tunnel using acquired information based on D/B.

  • PDF

A Study on Criteria of Selecting Artwork According to Artwork's Location in Architectural Space (건축공간내 미술장식품의 설치위치에 따른 선정요인에 관한 연구)

  • 김남효
    • Korean Institute of Interior Design Journal
    • /
    • no.39
    • /
    • pp.20-27
    • /
    • 2003
  • The purpose of this study is to provide a practical guide for selecting architectural artwork and analyze relationship between artwork and interior space & facade. The problems with many outdoor artwork did not make the characteristics of the specific environment and did not form a big flow in the urban contextualism. Choosing the artwork, architectural environment for artwork is very much part of the designers' task. When artwork is to be specifically acquired for a particular projects, designer and client must work together to make choices and plan placement. The data are collected through evaluation surveys of college students and graduate students majoring in interior architecture & design, and analyzed by using SPSS-WIN program to find the major characterized factors. It is concluded that architectural artwork should be constituted with nine major factors of interior space - theme/scale, situation/contemporay accord, finished materials harmony, line/two-three dimensional form, proportion/rhythm, sequence, natural/artificial form, abstract/reality expression, originality - and eight major factors of facade - situation, abstract/reality expression, finished materials harmony, theme/sequence, natural/artificial form, proportion/rhythm, static/dynamic expression, originality/. contemporay accord.

Development of a Control and Virtual Realty Visual System for the Tilting Train Simulator (틸팅 차량용 시뮬레이터 적용을 위한 통제 및 가상현실 영상 시스템 개발)

  • Song Young-Soo;Han Seong-Ho;Kim Jung-Seok
    • Journal of the Korean Society for Railway
    • /
    • v.8 no.4
    • /
    • pp.330-336
    • /
    • 2005
  • This paper presents a development of the control and the virtual reality visual system for a tilting train simulator. The user of the tilting train simulator is able to set up the environmental and operating conditions through the user interface provided by the control system. In the control system, an arbitrary track which has user-defined curve radius, length and direction can be generated. The virtual reality visual system provides an artificial environment that is composed of several facilities such as station, platform, track, bridge, tunnel and signaling system. In order to maximize the reality, all of the 3D modeling were based on the real photographs taken in the Jungang line. A dome screen with 1600mm diameter was used to maximize the view angle. The hemispherical screen can ensure the view angle of the 170 degrees of vertical direction and 135 degrees of lateral direction.

Computer Vision as a Platform in Metaverse

  • Iqbal Muhamad Ali;Ho-Young Kwak;Soo Kyun Kim
    • Journal of the Korea Society of Computer and Information
    • /
    • v.28 no.9
    • /
    • pp.63-71
    • /
    • 2023
  • Metaverse is a modern new technology that is advancing quickly. The goal of this study is to investigate this technique from the perspective of computer vision as well as general perspective. A thorough analysis of computer vision related Metaverse topics has been done in this study. Its history, method, architecture, benefits, and drawbacks are all covered. The Metaverse's future and the steps that must be taken to adapt to this technology are described. The concepts of Mixed Reality (MR), Augmented Reality (AR), Extended Reality (XR) and Virtual Reality (VR) are briefly discussed. The role of computer vision and its application, advantages and disadvantages and the future research areas are discussed.

Artificial Landmark Design and Recognition for Localization (위치추정을 위한 인공표식 설계 및 인식)

  • Kim, Si-Yong;Lee, Soo-Yong;Song, Jae-Bok
    • The Journal of Korea Robotics Society
    • /
    • v.3 no.2
    • /
    • pp.99-105
    • /
    • 2008
  • To achieve autonomous mobile robot navigation, accurate localization technique is the fundamental issue that should be addressed. In augmented reality, the position of a user is required for location-based services. This paper presents indoor localization using infrared reflective artificial landmarks. In order to minimize the disturbance to the user and to provide the ease of installation, the passive landmarks are used. The landmarks are made of coated film which reflects the infrared light efficiently. Infrared light is not visible, but the camera can capture the reflected infrared light. Once the artificial landmark is identified, the camera's relative position/orientation is estimated with respect to the landmark. In order to reduce the number of the required artificial landmarks for a given environment, the pan/tilt mechanism is developed together with the distortion correction algorithm.

  • PDF

Practical BioSignal analysis for Nausea detection in VR environment (가상현실환경에서 멀미 측정을 위한 생리신호 분석)

  • Park, M.J.;Kim, H.T.;Park, K.S.
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
    • /
    • 2002.11a
    • /
    • pp.267-268
    • /
    • 2002
  • We developed nausea, caused by disorder of autonomic nervous system, detection system using bio-signal analysis and artificial neural network in virtual reality enironment. We used 16 bio-signals, 9 EEGs, EOG, ECG, SKT, PPG, GSR, RSP, EGC, which has own analysis methods. We estimated nausea level by artificial neural network.

  • PDF

A Study on XR Technology for Digital Twin of Smart Factory (스마트 공장의 디지털 트윈을 위한 XR기술에 관한 연구)

  • Soek-Hee Lee
    • Journal of Practical Engineering Education
    • /
    • v.16 no.1_spc
    • /
    • pp.1-9
    • /
    • 2024
  • The introduction of smart factory digital twins is a concept that has already been proposed to increase productivity in the manufacturing industry through CPS(Cyber Physics System), and has been applied to specific industrial process stages or partially introduced in stages where simulation is required. However, with the recent development of the 4th Industrial Revolution technology, it is receiving attention again along with XR (Extended Reality) technology. However, because there are not many effective cases, this study analyzed the devices, equipment, and technology of the manufacturing process to build a digital twin applying digital threads and synchronized signals and information to control, remote control, and produce intelligent process automation equipment. A platform capable of analyzing information was proposed and developed. Through this, we designed and built an XR content service platform that can support artificial intelligence and developed it to enable control, remote control, and analysis of production information. A possible platform was proposed and developed. We hope that this study will be helpful in conducting research on many cases, and in the future, expanded research on increasing productivity in each part of the process and production is needed through intelligent models.

Will 80% of Medical Laboratory Technologist disappear in the future?

  • KIM, Min-Jeong;KIM, Dong-Ho;YOUN, Myoung-Kil
    • Journal of Wellbeing Management and Applied Psychology
    • /
    • v.2 no.1
    • /
    • pp.1-8
    • /
    • 2019
  • "In the future, 80% of doctors will be replaced by advanced technology." It has been talked about for a long time. When I first heard this story, people said it was ridiculous. But now that AlphaGo has won the Go match against Lee Se-dol, and many global companies have come up with a variety of services and products based on artificial intelligence, the story has become no more than ridiculous. In other words, it is beginning to come true. Artificial intelligence technology is already widely used in manufacturing and service industries. This spread of artificial intelligence is sure to usher in an era of great change in our future. And it is safe to say that it is the "medical world" where the biggest changes will be made. So how on earth does artificial intelligence replace medical personnel? If replaced, where would you stand out? In order to understand this, we must first be familiar with deep learning, which is the basis of medical artificial intelligence. And as the fourth industrial revolution gradually approaches reality, various occupational groups are becoming meaningless, as in the preceding industrial revolution, and in this paper we will learn about the impact of this situation on the medical community.

Cases of Artificial Intelligence Development in the Construction field According to the Artificial Intelligence Development Method (인공지능 개발방식에 따른 건설 분야 인공지능 개발사례)

  • Heo, Seokjae;Chung, Lan
    • Proceedings of the Korean Institute of Building Construction Conference
    • /
    • 2021.11a
    • /
    • pp.217-218
    • /
    • 2021
  • The development of artificial intelligence in the field of construction and construction is revitalizing. The performance and development techniques of artificial intelligence are changing rapidly, but if you look at the cases of domestic construction sites, they are using technologies from 5 to 7 years ago. It is right to follow a stable method in consideration of commercialization, but the previous AI development method requires more manpower and time to develop than the current technology. In addition, in order to actively utilize artificial intelligence technology, customized artificial intelligence is required to be applied to ever-changing changes in construction sites. it is the reality As a result, even if good AI technology is secured at the construction site, it is reluctant to introduce it because there is no advantage in terms of time and cost compared to the existing method to apply it only to some processes. Currently, an AI technique with a faster development process and accurate recognition has been developed to cope with a fluid situation, so it will be important to understand and introduce the rapidly changing AI development method.

  • PDF

Creating Deep Learning-based Acrobatic Videos Using Imitation Videos

  • Choi, Jong In;Nam, Sang Hun
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.15 no.2
    • /
    • pp.713-728
    • /
    • 2021
  • This paper proposes an augmented reality technique to generate acrobatic scenes from hitting motion videos. After a user shoots a motion that mimics hitting an object with hands or feet, their pose is analyzed using motion tracking with deep learning to track hand or foot movement while hitting the object. Hitting position and time are then extracted to generate the object's moving trajectory using physics optimization and synchronized with the video. The proposed method can create videos for hitting objects with feet, e.g. soccer ball lifting; fists, e.g. tap ball, etc. and is suitable for augmented reality applications to include virtual objects.