• Title/Summary/Keyword: 3-D visualization

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Study on Effect of Exercise Performance using Non-face-to-face Fitness MR Platform Development (비대면 휘트니스 MR 플랫폼 개발을 활용한 운동 수행 효과에 관한 연구)

  • Kim, Jun-woo
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.3
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    • pp.571-576
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    • 2021
  • This study was carried out to overcome the problems of the existing fitness business and to build a fitness system that can meet the increased demand in the Corona situation. As a platform technology for non-face-to-face fitness edutainment service, it is a next-generation fitness exercise device that can use various body parts and synchronize network-type information. By synchronizing the exercise information of the fitness equipment, it was composed of learning contents through MR-based avatars. A quantified result was derived from examining the applicability of the customized evaluation system through momentum analysis with A.I analysis applying the LSTM-based algorithm according to the cumulative exercise effect of the user. It is a motion capture and 3D visualization fitness program for the application of systematic exercise techniques through academic experts, and it is judged that it will contribute to the improvement of the user's fitness knowledge and exercise ability.

Exploring the Combined Use of LiDAR and Augmented Reality for Enhanced Vertical and Horizontal Measurements of Structural Frames (골조 수직, 수평 측정작업 시 LiDAR 및 AR 기술 적용방안 제시)

  • Park, Inae;Kim, Sangyong
    • Journal of the Korea Institute of Building Construction
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    • v.23 no.3
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    • pp.273-284
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    • 2023
  • This study is centered on the combined use of LiDAR(Light Detection and Ranging) and AR(Augmented Reality) technologies during vertical and horizontal frame measurements in construction projects. The intention is to enhance the quality control procedure, elevate accuracy, and curtail manual labor along with time expenditure. Present methods for accuracy inspection in frame construction often grapple with reliability concerns due to subjective interpretation and the scope for human error. This research recommends the application of LiDAR and AR technologies to counter these issues and augment the efficiency of the inspection process, along with facilitating the dissemination of results. The suggested technique involves the collection of 3D point cloud data of the frame utilizing LiDAR and leveraging this data for checks on construction accuracy. Furthermore, the inspection outcomes are fed into a BIM (Building Information Modeling) model, and the results are visualized via AR. Upon juxtaposing this methodology with the current approach, it is evident that it offers benefits in terms of objective inspection, speed, precise result sharing, and potential enhancements to the overall quality and productivity of construction projects.

A Study on Design and Analysis of Method for MR-based 3D Biological Object Recognition and Matching (MR 기반 3차원 생체 객체 인식 및 정합을 위한 방법 설계와 해석 연구)

  • Jin-Pyo Jo;Yong-Bae Jeong
    • Journal of Platform Technology
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    • v.12 no.2
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    • pp.23-33
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    • 2024
  • The development of mixed reality (MR) technology has a great influence on the research and development of medical support equipment. In particular, it supports to respond effectively to emergencies occurring in the field. MR technology enables access to first aid and field support by combining virtual information with the real world so that users can see virtual objects in the real world. However, due to the nature of the equipment, there is a limitation in accurately matching virtual objects based on user vision. To improve these limitations, this paper proposes a 3D biometric object recognition and matching algorithm in the MR environment. As a result of the experiment, when a virtual object is rendered and visualized while equipped with an optical-based HMD from the user's side, it was possible to reduce the user's field of view error and eliminate the joint-loss phenomenon during skeleton recognition. The proposed method can reduce errors between the real user's field of view and the virtual image and provide a basis for reducing errors that occur in the process of virtual object recognition and matching. It is expected that this study will contribute to improving the accuracy of the telemedicine support system for first aid.

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A Study on the Construction of Indoor Spatial Information using a Terrestrial LiDAR (지상라이다를 이용한 지하철 역사의 3D 실내공간정보 구축방안 연구)

  • Go, Jong Sik;Jeong, In Hun;Shin, Han Sup;Choi, Yun Soo;Cho, Seong Kil
    • Spatial Information Research
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    • v.21 no.3
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    • pp.89-101
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    • 2013
  • Recently, importance of indoor space is on the rise, as larger and more complex buildings are taking place due to development of building technology. Accordingly, range of the target area of spatial information service is rapidly expanding from outdoor space to indoor space. Various demands for indoor spatial information are expected to be created in the future through development of high technologies such as IT Mobile and convergence with various area. Thus this research takes a look at available methods for building indoor spatial information and then builds high accuracy three-dimensional indoor spatial information using indoor high accuracy laser survey and 3D vector process technique. The accuracy of built 3D indoor model is evaluated by overlap analysis method refer to a digital map, and the result showed that it could guarantee its positional accuracy within 0.04m on the x-axis, 0.06m on the y-axis. This result could be used as a fundamental data for building indoor spatial data and for integrated use of indoor and outdoor spatial information.

Development of the 3D simulation for disaster prevention in the downtown soil erosion (I) (도심지 토사재해 예방을 위한 3차원 시뮬레이션 개발(I))

  • Shin, Bong Jin;Youn, Sang Ho;Lee, Gi Dong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.6
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    • pp.408-417
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    • 2016
  • The frequent regional torrential or heavy rain and typhoon mostly caused by climate change has resulted in sediment disasters particularly in mountainous or hilly areas. More than 65% of South Korea is mountainous and development and rapid urbanization has brought lots of steep sloping industrial complexes, which are adjacent to cities. Such continuous urbanization and industrialization can result in an increase in serious damage to those places. Korea has very high population density so sediment disaster could result in a tremendous loss of property and life. A recent 10-year (2001~2010) study of the average annual loss shows 68 casualties and property loss of 1.7044 trillion Won(?), which indicates a 20% and 25% decrease for both life and property, respectively, but urban areas are experiencing increasing damage. In this paper, a comprehensive simulator composed by references, analyses, and the recent technologies was applied to visualize the scale of the damaged Woomyeon-san (Mt.) and verify the performance of the simulator.

The Development of VR based Application for Realistic Disaster Prevention Training (현실감 있는 재난재해 예방 교육을 위한 VR 기반 앱 개발)

  • Kim, Taehoon;Youn, Junhee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.12
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    • pp.287-293
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    • 2018
  • The Korean peninsula has been known as an area that is free of volcanic disasters. However, recent observations and research results of volcanoes in Far East Asia, including Baedu Mountain and Japanese volcanoes, show that the Korean peninsula is no longer a safe area from volcanic disasters. Since 2012, the Korean government has been developing an IT-based construction technology, VDRS (Volcanic Disaster Response System), for effective volcanic disaster response system. The main users of VDRS are public officers in central or local governments. However, most of them have little experience and knowledge about volcanic disasters. Therefore, it is essential to develop education contents and implement training on volcanic disaster response for effective response in a real disaster situation. In this paper, we deal with the development of a mobile application based on virtual reality (VR) for realistic volcanic disaster response training. The objectives of training are the delivery of knowledge and experience for volcanic disasters. First, VR contents were generated based on spatial information. A 3D model was constructed based on a Digital Elevation Model (DEM), and visualization models for meterological effects and various volcanic disaster diffusion effects were implemented for the VR contents. Second, the mobile application for the volcanic disaster response training was implemented. A 12-step story board is proposed for volcanic disaster experience. The application was developed with the Unity3D engine based on the proposed story board to deliver knowledge of various volcanic disasters (volcanic ash, pyroclastic flows, volcanic mudflow etc.). The results of this paper will be used for volcanic disaster response and prevention training and for more realistic training linked with augmented reality technology in the future.

Percolation Analysis On Porous Concrete Using Microstructural CT Image Processing and Probability Distribution Functions (투수 콘크리트의 미세구조 CT 이미지와 확률 분포 함수를 사용한 투수성 분석)

  • Chung, Sang-Yeop;Han, Tong-Seok
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.32 no.1A
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    • pp.31-37
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    • 2012
  • The phase distribution in concrete materials strongly affects its material properties. It is important to identify the spatial distribution of void in concrete because the void in concrete materials affects mechanical behavior and permeability significantly. Therefore, a proper method to describe the void distribution of a material is needed. In this research, CT(computed tomography) is used to examine and to quantify the void distribution of porous concrete specimens. 3D concrete digital specimens are created by subsequent stacking of 2D cross-sectional images from CT. Then, probability distribution functions such as two-point correlation, lineal-path and two-point cluster functions are used for void distribution characterization. It is confirmed that probability distribution functions obtained from CT images are effective in characterizing void distributions including the anisotropy and percolation.

Development of Subsurface Spatial Information Model with Cluster Analysis and Ontology Model (온톨로지와 군집분석을 이용한 지하공간 정보모델 개발)

  • Lee, Sang-Hoon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.13 no.4
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    • pp.170-180
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    • 2010
  • With development of the earth's subsurface space, the need for a reliable subsurface spatial model such as a cross-section, boring log is increasing. However, the ground mass was essentially uncertain. To generate model was uncertain because of the shortage of data and the absence of geotechnical interpretation standard(non-statistical uncertainty) as well as field environment variables(statistical uncertainty). Therefore, the current interpretation of the data and the generation of the model were accomplished by a highly trained experts. In this study, a geotechnical ontology model was developed using the current expert experience and knowledge, and the information content was calculated in the ontology hierarchy. After the relative distance between the information contents in the ontology model was combined with the distance between cluster centers, a cluster analysis that considered the geotechnical semantics was performed. In a comparative test of the proposed method, k-means method, and expert's interpretation, the proposed method is most similar to expert's interpretation, and can be 3D-GIS visualization through easily handling massive data. We expect that the proposed method is able to generate the more reasonable subsurface spatial information model without geotechnical experts' help.

The Fourth Industrial Revolution Core Technology Association Analysis Using Text Mining (텍스트 마이닝을 활용한 4차 산업혁명 핵심기술 연관분석)

  • Ryu, Jae-Han;You, Yen-Yoo
    • Journal of Digital Convergence
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    • v.16 no.8
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    • pp.129-136
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    • 2018
  • This study analyzed technology application field and technology transfer type related to the 4th industrial revolution using frequency, visualization, and association analysis of text mining of Big Data. The analysis was conducted between the last three years (2015 - 2017) registered with the NTB of KIAT transfer technology database was utilized. As a result of analysis, First, First, transfer technologies called core technologies of the Fourth Industrial Revolution are a lot of about robots, 3D, autonomous driving, and wearables. Second, as the year go by, transfer technolgy registration such as IoT, Cloud, VR is increasing. Third, the results of the association analysis of technology transfer type are as follows. IoT and VR showed preference for technology trading and licensing, autonomous driving technology trading, wearable licensing, robots preferring technology cooperation, licensing, and technology trading.

A Haptic Rendering Technique for 3D Objects with Vector Field (벡터 필드를 가진 3차원 오브젝트의 햅틱 렌더링 기법)

  • Kim, Lae-Hyun;Park, Se-Hyung
    • Journal of KIISE:Computer Systems and Theory
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    • v.33 no.4
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    • pp.216-222
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    • 2006
  • Vector field has been commonly used to visualize the data set which is invisible or is hard to explain. For instance, it could be used to visualize scientific data such as the direction and amount of wind and water field, transfer of heat through thermally conductive materials, and electromagnetic field. In this paper, we present a technique to enable intuitive recognition of the data though haptic feedback along with visual feedback. To add tactile information to graphical vector field, we model a haptic vector field and then apply it to the haptic map to guide a user to destination and haptic simulation of water field on 2D images whish can be used ill everyday life. These systems allow one to recognize vector information intuitively through haptic interface. We expect that the haptic rendering technique of vector field can be applied to various applications such as education, training, and entertainment.