• Title/Summary/Keyword: erection classification

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A Study on the Pattern of Domestic Literature Museum and the Space.Form Composition Characteristic - Focused on Gyeongsang-do region - (국내 문학관 건축의 유형과 공간.형태구성 특징에 관한 연구 - 경상도 지역을 중심으로 -)

  • Jang, Hoon-Ick
    • Journal of The Korean Digital Architecture Interior Association
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    • v.11 no.3
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    • pp.69-77
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    • 2011
  • This study considered the characteristic through the present state of domestic literature museum and grouping by type to help the understanding for domestic literature museum. And conducted a case study on Gyeongsang-do region literature museum to grasp the space form composition characteristic of literature museum. The result gained through these studies is as follows. First, grouping domestic literature museum by type, we can conduct the classification founded on location character, an exhibition writer, and the main body of erection and maintenance management. Second, the classification founded on location character of literature museum is able to be divided into the type of the house of writer's birth, a literary work, writing, and etc. Third, the classification founded on the number of exhibition writers can be divided into the type of independence, an individual pavilion, and integration. Fourthly, the classification founded on the main body of erection and management can be divided into the case in which a local self-governing body is wholly in charge of erection and management, a local government is in charge of erection but entrusts management to a corporate body, etc., a corporate body is in charge of erection and management, and a private person is in charge of erection and management. Fifthly, speaking of the characteristic by type of the Gyeongsang-do region literature museum, the classification founded on location has the type of the house of writer's birth the most, the classification founded on the number of exhibition writers has the type of independence the most, and the classification founded on the main body of erection and management has the most the type in which a local self-governing body is in charge of erection and management. Also, for the characteristic by space form, the case which expresses the character of Korean traditional architecture by form is many the most, and there are pieces of work to pursue shape beauty through the articulation of mass or molding manipulation and the change by space form through the proper combination of concreteness and abstraction as well.

Erection Process Analysis of the PC Staircase in the Apartment Building (공동주택의 PC계단실 조립 프로세스 분석)

  • Kim, Ki-Ho;Lee, Bum-Sik;Lee, Dong-Gun;Kim, Min-Jun;Sohn, Jeong-Rak
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2023.11a
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    • pp.103-104
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    • 2023
  • The purpose of this study is to specify an erection process for each member of the PC staircase. For this purpose, field work was investigated at the LH PC apartment building site and classified in detail through unit work analysis inspection. The results of this study are intended to be used as basic data for creating work sequences and related guidelines for LH's PC staircase.

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Object Detection and Post-processing of LNGC CCS Scaffolding System using 3D Point Cloud Based on Deep Learning (딥러닝 기반 LNGC 화물창 스캐닝 점군 데이터의 비계 시스템 객체 탐지 및 후처리)

  • Lee, Dong-Kun;Ji, Seung-Hwan;Park, Bon-Yeong
    • Journal of the Society of Naval Architects of Korea
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    • v.58 no.5
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    • pp.303-313
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    • 2021
  • Recently, quality control of the Liquefied Natural Gas Carrier (LNGC) cargo hold and block-erection interference areas using 3D scanners have been performed, focusing on large shipyards and the international association of classification societies. In this study, as a part of the research on LNGC cargo hold quality management advancement, a study on deep-learning-based scaffolding system 3D point cloud object detection and post-processing were conducted using a LNGC cargo hold 3D point cloud. The scaffolding system point cloud object detection is based on the PointNet deep learning architecture that detects objects using point clouds, achieving 70% prediction accuracy. In addition, the possibility of improving the accuracy of object detection through parameter adjustment is confirmed, and the standard of Intersection over Union (IoU), an index for determining whether the object is the same, is achieved. To avoid the manual post-processing work, the object detection architecture allows automatic task performance and can achieve stable prediction accuracy through supplementation and improvement of learning data. In the future, an improved study will be conducted on not only the flat surface of the LNGC cargo hold but also complex systems such as curved surfaces, and the results are expected to be applicable in process progress automation rate monitoring and ship quality control.