• Title/Summary/Keyword: 디지털모델링

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3D Digital Restoration of Traditional Wooden Building Using Parametric Modeling (Parametric 모델링 방식을 이용한 전통목조건축물의 3D 디지털 복원)

  • Lee, Kang-Hoon;Cho, Sae-Hong
    • Journal of Korea Multimedia Society
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    • v.12 no.8
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    • pp.1164-1171
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    • 2009
  • This paper proposes an efficient implementation way of traditional wooden building using Parametric modeling method which uses the relations of numerical value ratio between building materials. Building structures and order of construction for Geunjungjeon of Kyuungbok Palace is digitally implemented proving the efficiency of the suggested proposal. Although the existing digital modeling methods for traditional wooden building emphasize the exterior modeling of the building, our modeling method constructed numerous wooden materials and arranged those pieces orderly so that people can see the interior structures of the building which usually is beyond one's vision. The suggested Parametric modeling method, Multi-Object Texture Mapping, Physical Camera Restoration, and GI Renderer for implementing Geunjungjeon of Kyuungbok Palace can be practically used for digital implementation for other traditional wooden buildings.

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Efficient 3D Modeling Automation Technique for Underground Facilities Using 3D Spatial Data (3차원 공간 데이터를 활용한 지하시설물의 효율적인 3D 모델링 자동화 기법)

  • Lee, Jongseo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.11
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    • pp.1670-1675
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    • 2021
  • The adoption of smart construction technology in the construction industry is progressing rapidly. By utilizing smart construction technologies such as BIM (Building Information Modeling), drones, artificial intelligence, big data, and Internet of Things technology, it has the effect of lowering the accident rate at the construction site and shortening the construction period. In order to introduce a digital twin platform for construction site management, real-time construction site management is possible in real time by constructing the same virtual space. The digital twin virtual space construction method collects and processes data from the entire construction cycle and visualizes it using a 3D model file. In this paper, we introduce a modeling automation technique that constructs an efficient digital twin space by automatically generating 3D modeling that composes a digital twin space based on 3D spatial data.

Concept and Construction Direction of Marine Digital Twin considering the Characteristics of Marine Information (해양정보 특성을 고려한 해양 디지털트윈 개념 및 구축방향)

  • Choi, Tae-seok;Choi, Yun-soo;Kim, Jae-myeong;Song, Hyun-Ho;Min, Byeong-heon;Lee, Sang-min
    • Journal of Internet Computing and Services
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    • v.23 no.1
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    • pp.39-47
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    • 2022
  • Digital Twin is positioned as one of the establishment of a digital management system for core infrastructure in terms of collecting real data and implementing virtual space. However, there are currently no integrated three-dimensional marine information analysis tools and technologies in Korea, and unlike land, new 3D modeling technologies and data processing technologies are required to digitize flexible marine information, but there are limitations in implementation. Therefore, this study aims to present development directions in four areas: structure, data, modeling, and utilization platform of marine digital twin by analyzing trends related to marine digital twin and digital twin technology elements.

A Tutorial on Covariance-based Structural Equation Modeling using R: focused on "lavaan" Package (R을 이용한 공분산 기반 구조방정식 모델링 튜토리얼: Lavaan 패키지를 중심으로)

  • Yoon, Cheol-Ho;Choi, Kwang-Don
    • Journal of Digital Convergence
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    • v.13 no.10
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    • pp.121-133
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    • 2015
  • This tutorial presents an approach to perform the covariance based structural equation modeling using the R. For this purpose, the tutorial defines the criteria for the covariance based structural equation modeling by reviewing previous studies, and shows how to analyze the research model with an example using the "lavaan" which is the R package supporting the covariance based structural equation modeling. In this tutorial, a covariance-based structural equation modeling technique using the R and the R scripts targeting the example model were proposed as the results. This tutorial will be useful to start the study of the covariance based structural equation modeling for the researchers who first encounter the covariance based structural equation modeling and will provide the knowledge base for in-depth analysis through the covariance based structural equation modeling technique using R which is the integrated statistical software operating environment for the researchers familiar with the covariance based structural equation modeling.

A study on the Modeling of I/O Buffer Information Specification to supply Signal Integrity Simulation (신호 통합성 시뮬레이션을 지원하기 위한 입출력 버퍼 정보형식의 모델링에 관한 연구)

  • 김현호;이용희;이천희
    • Proceedings of the Korea Society for Simulation Conference
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    • 2000.11a
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    • pp.131-134
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    • 2000
  • 본 논문에서는 디지털 IC회로의 입출력과 입출력 버퍼에 대한 입출력 버퍼정보 형식 모델링을 묘사하였고 입출력 버퍼의 전기적 특성을 표현하는 방법 등을 나타냈다. 또한 본 논문에서 도출한 입출력 버퍼 모델링은 CMOS와 TTL IC를 모델링 하는데 사용할 수 있는데 CMOS와 TTL IC 그리고 ROM과 RAM 메모리에 대한 입출력 버퍼 모델을 128개 정도 만들었다. 이러한 입출력 버퍼 모델은 정확한 행동(behavioral) 모델을 구성하기 위해 그리고 고속 회로의 PCB 디자인 시뮬레이션에 사용될 것이다.

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Decision Tree State Tying Modeling Using Parameter Estimation of Bayesian Method (Bayesian 기법의 모수 추정을 이용한 결정트리 상태 공유 모델링)

  • Oh, SangYeob
    • Journal of Digital Convergence
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    • v.13 no.1
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    • pp.243-248
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    • 2015
  • Recognition model is not defined when you configure a model, Been added to the model after model building awareness, Model a model of the clustering due to lack of recognition models are generated by modeling is causes the degradation of the recognition rate. In order to improve decision tree state tying modeling using parameter estimation of Bayesian method. The parameter estimation method is proposed Bayesian method to navigate through the model from the results of the decision tree based on the tying state according to the maximum probability method to determine the recognition model. According to our experiments on the simulation data generated by adding noise to clean speech, the proposed clustering method error rate reduction of 1.29% compared with baseline model, which is slightly better performance than the existing approach.