• Title/Summary/Keyword: 코너스

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Mandibular implant-supported overdenture using CAD-CAM Konus type attachment: A case report (CAD-CAM Konus type 부착장치를 이용한 하악 임플란트 피개의치 보철수복 증례)

  • Park, Jong-Hee;Kim, In-Ju;Kim, Kyoung-A;Song, Kwang-Yeob;Seo, Jae-Min
    • The Journal of Korean Academy of Prosthodontics
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    • v.54 no.3
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    • pp.259-266
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    • 2016
  • In edentulous mandible, implant supported overdenture was considered as a first treatment option. Konus type attachment supplies rigid support and cross arch stabilization so that more favorable force transmission and distribution can be attained. In the dentistry, computer aided design-computer aided manufacturing (CAD-CAM) system makes it possible to fabricate restorations with high precision and effectiveness. Recently, Palladium-silver (Pd-Ag) alloy which is millable has been developed. This article presents that application of CAD-CAM Konus type attachment can be provide satisfactory stability and function on four-implant supported mandibular overdenture.

Digital Transformation for an Evacuation Guidance System by Using Artificial Intelligence Technology (인공지능을 활용한 피난유도시스템 디지털 전환)

  • Kim, Tony;Seo, William;Lee, Taegyu
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2023.05a
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    • pp.403-404
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    • 2023
  • In an era where everything is digitalized using AI(Artificial Intelligence), such as the ChatGPT craze, the evacuation guidance system still uses an analog and fixed method, so there is a limit to quick response in case of fire. In order to overcome this, we introduce a digitally transformed evacuation guidance system using AI and discuss its effectiveness.

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A Study on the Overseas Case Analysis of Evacuation Guidance System for High-rise and Underground Complexes (초고층 및 지하연계 복합건축물 피난유도 시스템의 국외 사례 분석 연구)

  • Choi, Byeong-Yun;Kim, Dong-Oh;Seo, Jeong-Wan;Kang, Boo-Seong
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2023.11a
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    • pp.117-118
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    • 2023
  • This study is a basic research study to establish an effective evacuation guidance system in case of fire in high-rise and underground-linked complex buildings. As a result of the analysis of overseas cases, it is judged that it is necessary to develop an evacuation guidance system using artificial intelligence.

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Character Detection in Complex Scene Image using Harris Corner Detector (해리스 코너 검출기를 이용한 배경 영상에서의 문자 검출)

  • Kim, Min-ha;Kim, Mi-kyung;Cha, Eui-young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.10a
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    • pp.97-100
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    • 2013
  • In this paper, we propose a detection method of the character rather than cursive, containing many components of the vertical and horizontal direction in complex background image. The characters have many dense corners but the background has few sparse corners. So we use harris corner detector and cluster the corners by using the position of the detected corners for detecting character regions. To merge or filter character regions, we analysis a histogram of gray image of character regions. In each improved region, we compare histograms of R, G, B channels to detect characters.

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Vision based Object Recognition for Autonomous Robot Navigation (로봇의 자율 항해를 위한 비전기반의 객체 인식)

  • Kim, Kwon;Lee, Chang-Woo;Xu, Sudan;Cui, Yao-Huan
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2008.06a
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    • pp.205-209
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    • 2008
  • 본 논문은 입력되는 영상에서 특정 객체를 찾기 위하여 특징 검출 및 매칭 결과를 분석하여 기술한다. 영상의 특징을 추출하는 방법 중 코너를 특징으로 하는 방법인 해리스 코너 검출(Harris corner detection)을 이용하여 코너를 추출하였으며, 추출한 특징을 이용하여 다양한 크기의 템플릿을 만들어 입력된 영상과 상관계수를 구해 최대값을 가지는 위치를 찾아 입력된 영상과 객체를 매칭 시킨 결과를 분석하였다. 본 논문의 연구 결과들은 객체의 탐지 등과 같은 영상 분석 기반 기술에 활용될 수 있으리라 기대된다.

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The Development of an Intelligent Risk Recognition System for Construction Safety by Combining Artificial Intelligence and Digital Twin Technology (AI와 디지털 트윈을 결합한 지능형 건설안전 위험감지 시스템 개발)

  • Kim, Tony;Seo, William;Lee, Taegyu
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2023.05a
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    • pp.405-406
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    • 2023
  • In the era of AI, intelligent construction safety technologies are being introduced to the construction safety environment, but the application of AI has limitations due to the lack of accident images to learn in complex construction sites. In order to overcome this, we will introduce an intelligent risk detection system that dramatically improves risk detection accuracy by combining AI with digital twin technology, and introduce various cases.

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A Study on improvement of evacuation safety in high-rise and underground complex buildings using digital technologies (디지털 기술 활용 초고층 및 지하연계 복합건축물 피난안전 개선방안 연구)

  • Seo, Jeong-Wan;Kim, Dong-Oh;Lee, Taegyu
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2023.11a
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    • pp.279-280
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    • 2023
  • As buildings become taller and more complex, the number of high-rise and underground complex buildings is increasing, but risks are also increasing due to the limitations of existing evacuation safety methods. Through this study, we will analyze the fire and evacuation characteristics of high-rise and underground complex buildings, identify problems with the current evacuation safety method, and seek ways to improve them using digital technologies

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Structural Analysis for Design of Anchor Straps for a Large-Scale LNG Storage Tank with Corner Protection and Inner Tank (코너프로텍션과 내조를 고려한 대용량 LNG 저장탱크 앵커스트랩의 구조설계를 위한 유한요소해석)

  • Jin, Chengzhu;Ha, Sung-Kyu;Kim, Seong-Jong;Lee, Young-Hwan
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.35 no.12
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    • pp.1543-1548
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    • 2011
  • Structural analysis is performed to design anchor straps for a large-scale-liquefied-natural-gas (LNG) storage tank with corner protection and an inner tank by considering structural integrity. Anchor straps made of 9% nickel steel are attached to the inner tank, corner protection, and concrete raft to prevent the failure of the inner tank during both normal and emergency operating conditions. Two finite element (FE) models were analyzed in this study. One is a stand-alone model of the anchor strap, while the other is an extended model of the substructure of the anchor strap, inner tank, and corner protection. Three-dimensional shell elements are used to effectively assess the bending and axial behavior of structures. The Tresca stress values in each part of the two models are calculated for operation under five different load-condition cases: normal operation, leakage of the LNG, hydro test, and two earthquake conditions.

Text Region Extraction from Videos using the Harris Corner Detector (해리스 코너 검출기를 이용한 비디오 자막 영역 추출)

  • Kim, Won-Jun;Kim, Chang-Ick
    • Journal of KIISE:Software and Applications
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    • v.34 no.7
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    • pp.646-654
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    • 2007
  • In recent years, the use of text inserted into TV contents has grown to provide viewers with better visual understanding. In this paper, video text is defined as superimposed text region located of the bottom of video. Video text extraction is the first step for video information retrieval and video indexing. Most of video text detection and extraction methods in the previous work are based on text color, contrast between text and background, edge, character filter, and so on. However, the video text extraction has big problems due to low resolution of video and complex background. To solve these problems, we propose a method to extract text from videos using the Harris corner detector. The proposed algorithm consists of four steps: corer map generation using the Harris corner detector, extraction of text candidates considering density of comers, text region determination using labeling, and post-processing. The proposed algorithm is language independent and can be applied to texts with various colors. Text region update between frames is also exploited to reduce the processing time. Experiments are performed on diverse videos to confirm the efficiency of the proposed method.