• Title/Summary/Keyword: 열화 데이터

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Proposal of Domestic Road Bridge Deck Deterioration Models and Forecast of Replacement Demand (국내 도로교량 바닥판 열화모델 제안 및 교체 수요 예측)

  • Kim, Jin-Kwang;Jang, Il-Young
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.21 no.4
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    • pp.61-68
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    • 2017
  • Bridge decks are members that rapidly deteriorated due to various environmental factors such as heavy vehicle and deicing salt, etc. As the lifespan of bridges built in Korea increases, it is expected that the demand for replacing the deteriorated bridge decks will increase. In other countries, Accelerated Bridge Construction technology using precast decks is already actively being used as a countermeasure for replacement demand of deteriorated bridge decks. In this study, bridge decks deterioration models are proposed by collecting and analysing the condition index data of domestic bridge decks. Also, the future replacement demands of deteriorated bridge decks in terms of replacement time and replacement scale are predicted.

Development of Diagnosis Device for Pole and Pad Transformer using Wireless Data Communication (무선 데이터 통신을 이용한 주상 및 지상 변압기 진단 장치 개발)

  • 윤용한;민경래;최도혁;김재철
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.14 no.6
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    • pp.85-92
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    • 2000
  • This paper has developed the system that can monitor the distribution transformers(pole and pad) using simplified deterioration detecting sensor in oil and wireless data communication. This system is made up by deterioration detecting sensor, oil level measuring system, deterioration measuring system and communication unit. To prove the usefulness of the system, the paper compared and analyzed the system with the existed system, and after studying the correlation of the both, the result proved goodness of the new system. The proposed monitoring system, when it is used on the pole and pad transformer, would make the reliable diagnoses possible with less rate.

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Standardization of Temperature Measurement System for Stable and Reliable Infrared Thermographical Image (열화상 이미지의 신뢰성 확보를 위한 온도입력시스템의 표준화)

  • Yoon, Se-Hyun;Chung, Lan
    • Journal of the Korea Concrete Institute
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    • v.20 no.6
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    • pp.681-687
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    • 2008
  • This study presents a technique to quantitatively measure the corrosion level of a reinforcing bar using infrared thermography system. We found out electric heating method having an important effect on thermal data in previous study. This study purposed an efficient way for grip standardization to reduce constriction resistance problem, and providing reliable thermal data using infrared thermographic method. Using vise type earth clamp, the surface resistance of rebar was smaller than that of traditional plier type earth clamp through temperature-distribution relationship. Also this study contains experiments with toque wrench to improve heating contact problem.

IPTV 서비스의 체감품질 보장과 모니터링

  • Lee, Cheol-Hui;Lee, Sang-Uk;Lee, Jong-Hwa
    • Information and Communications Magazine
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    • v.25 no.8
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    • pp.12-19
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    • 2008
  • 네트워크 및 전송기술의 발달로 통신망을 이용하여 IPTV와 같은 서비스를 제공하는 것이 가능하게 되었다. IPTV는 기존 방송과 달리 IP 망을 통해 데이터의 송수신이 이루어지므로, 전송에러가 발생할 수 있으며, 이 경우 패킷의 손실 및 지연 등의 이유로 열화가 발생하게 된다. 이러한 열화는 사용자의 체감품질에 영향을 미쳐 IPTV서비스에 대한 사용자의 신뢰도를 저하 시킨다. 본 논문에서는 IPTV서비스에서 체감 품질 보장 및 품질 모니터링에 관한 IPTV국제 표준화 동향 및 규정을 소개하고, IPTV 사용자의 체감품질을 보장하기 위한 방법을 고찰한다.

Design of healthcare system using infrared camera (적외선 열화상 카메라를 이용한 건강관리 시스템 설계방안 연구)

  • Baek, Ji-Hoon;Kim, Sang-Hoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.11a
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    • pp.1262-1263
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    • 2017
  • 본 논문은 열화상 카메라를 통해 촬영 범위 내에 위치한 사람들의 체온을 측정하고 수집한 데이터를 통해 의료시설과의 연계를 통하여 지속적인 케어를 받을 수 있도록 하는 시스템에 대한 설계를 다룬다.

Double TR Prefilter for High Data Rate and Minimum ISI in Multi-user Indoor Communication System (다중 사용자 실내 통신 시스템에서의 데이터 고속 전송 및 심볼 간 간섭 최소화를 위한 이중 시역전 전처리 필터)

  • Yoon, Mi-Sun;Lee, Chung-Yong
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.49 no.8
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    • pp.58-64
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    • 2012
  • We propose a double time reversal (TR) prefilter for high data rate and minimum interference in multi-user indoor communication system. A conventional TR prefilter degrades bit error rate (BER) performance significantly because it cannot remove the interference perfectly. As the symbol duration is close, the BER performance is deteriorated. Since the proposed scheme aims to minimize interference, high data rate is realized without the performance degradation and the complexity of receiver is reduced through an additional prefilter design. Simulation results show that the performance of the proposed scheme is improved as the number of users is increased or the data rate becomes high.

터빈 부품의 수명평가와 주요재료 특성

  • 정순호
    • Journal of the KSME
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    • v.32 no.4
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    • pp.371-378
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    • 1992
  • 발전용 터빈 부품중 회전체인 로터의 수명평가를 간단히 소개하고 수명평가시 고려되는 주요 재질특성에 대하여는 간단한 설명과 데이터를 이용하는 방법을 기술했다. 정확한 수명평가를 위해서는 금속학적인 고찰을 병행하여 경년열화와 효과를 고려하고, 실제 가동 조건과 동일시할 수 있는 각종 데이터를 적용해야 하나 본문에서와 같이 실험에 따르는 제약이 많아 추정 또는 가공된 데이터를 이용한다. 신뢰성 높은 수명평가를 위해선 각종 데이터 확보를 위한 실험장치의 개선과 실험방법의 개발이 매우 중요하다고 본다. 또한 현존하는 재료제조 기술상 초기부터 일 정한 허용결함을 인정하면서 설계, 제조, 가동되고 있는 각종 설비에 경제성을 극대화시키면서 동시에 안전을 확보하는 것은 매우 어렵지만 피할 수 없는 당면과제라 생각한다.

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Invisible Data Hiding for Few-Color Image (다치 컬러 영상을 위한 비가시적 데이터 은닉)

  • 박영란;박지환
    • Proceedings of the Korea Multimedia Society Conference
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    • 2003.11a
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    • pp.69-72
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    • 2003
  • 스테가노그라피는 송/수신자간에 비밀 통신을 할 때 제3자가 기밀 정보를 인식하지 못하도록 디지털화된 각종 미디어에 몰래 숨겨서 통신을 한 수 있는 데이터 은닉의 한 분야이다. 특히 흑/백으로만 구성된 이진 영상 및 색상의 표현이 제한된 다치 영상 등에서 비시각적으로 기밀정보를 숨긴다는 것이 일반 컬러 영상에 비해 많은 어려움을 수반한다. 본 제안방식은 시각적인 영향을 작게 주는 패턴에만 기밀 데이터를 삽입하는 방식으로 기밀 데이터를 은닉시킨 후에도 화질의 열화가 거의 발생하지 않아 시각적으로 인지하기 어렵도록 개선한 방식이다.

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Class 1·3 Vehicle Classification Using Deep Learning and Thermal Image (열화상 카메라를 활용한 딥러닝 기반의 1·3종 차량 분류)

  • Jung, Yoo Seok;Jung, Do Young
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.19 no.6
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    • pp.96-106
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    • 2020
  • To solve the limitation of traffic monitoring that occur from embedded sensor such as loop and piezo sensors, the thermal imaging camera was installed on the roadside. As the length of Class 1(passenger car) is getting longer, it is becoming difficult to classify from Class 3(2-axle truck) by using an embedded sensor. The collected images were labeled to generate training data. A total of 17,536 vehicle images (640x480 pixels) training data were produced. CNN (Convolutional Neural Network) was used to achieve vehicle classification based on thermal image. Based on the limited data volume and quality, a classification accuracy of 97.7% was achieved. It shows the possibility of traffic monitoring system based on AI. If more learning data is collected in the future, 12-class classification will be possible. Also, AI-based traffic monitoring will be able to classify not only 12-class, but also new various class such as eco-friendly vehicles, vehicle in violation, motorcycles, etc. Which can be used as statistical data for national policy, research, and industry.

Degradation-Based Remaining Useful Life Analysis for Predictive Maintenance in a Steel Galvanizing Kettle (철강 도금로의 예지보전을 위한 열화 기반 잔존수명 분석)

  • Shin, Joon Ho;Kim, Chang Ouk
    • Journal of the Korea Convergence Society
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    • v.10 no.12
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    • pp.271-280
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    • 2019
  • Smart factory, a critical part of digital transformation, enables data-driven decision making using monitoring, analysis and prediction. Predictive maintenance is a key element of smart factory and the need is increasing. The purpose of this study is to analyze the degradation characteristics of a galvanizing kettle for the steel plating process and to predict the remaining useful life(RUL) for predictive maintenance. Correlation analysis, multiple regression, principal component regression were used for analyzing factors of the process. To identify the trend of degradation, a proposed rolling window was used. It was observed the degradation trend was dependent on environmental temperature as well as production factors. It is expected that the proposed method in this study will be an example to identify the trend of degradation of the facility and enable more consistent predictive maintenance.