• 제목/요약/키워드: Gas working image

검색결과 14건 처리시간 0.026초

Influence of Temporal and Permanent Image Sticking Characteristics Under Variable Panel Working Gas Pressure in 42-in. AC-PDPs

  • Park, Choon-Sang;Jang, Soo-Kwan;Kim, Jae-Hyun;Tae, Heung-Sik;Jung, Eun-Young;Ahn, Jung-Chull;Heo, Eun-Gi
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2008년도 International Meeting on Information Display
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    • pp.1617-1620
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    • 2008
  • The effects of the temporal and permanent bright image stickings were examined under variable panel working gas pressure in the 42-in. ac-PDP with a high Xe (11 %) content. In the cells with and without temporal and permanent bright image stickings, the display luminance, firing voltage, and Vt closed curve were measured relative to the working gas pressure. With a decrease in the working gas pressure, the temporal bright image sticking was observed to be reduced, whereas the permanent bright image sticking was observed to be deteriorated.

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Effect of Working Gas Pressure on Misfirng of ac PDP at High Ambient Temperature

  • Ryu, Jae-Hwa;Choi, Joon-Young;Kim, Dong-Hyun;Kim, Joong-Kyun;Kim, Young-Kee;Lee, Ho-Jun;Park, Chung-Hoo
    • Journal of Information Display
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    • 제4권4호
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    • pp.25-32
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    • 2003
  • One of the important problems in ac PDP in recent years is the misfiring of ac PDP at high ambient temperatures which consequently degrades the image quality of the ac PDP. This may be due to the change of working gas pressure and/or MgO surface characteristics at high ambient temperatures. This paper deals with the effect of working gas pressure on the misfiring of ac PDP at high ambient temperature. From this study, we found that the main cause of the misfiring at high ambient temperature is the increase in discharge firing voltage induced by increased working gas pressure

작업안전 위험상황 대응을 위한 지능형 영상분석 시스템 구축에 관한 연구 (Intelligent Image Analysis System for Preventing Safety Hazards in Dangerous Working Area)

  • 장현성
    • 대한안전경영과학회지
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    • 제17권2호
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    • pp.47-54
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    • 2015
  • To prevent safety hazards in dangerous working area, we have proposed an intelligent image analysis system. Six common patterns of safety violations of workers' are defined and its motion detection algorithms are developed for alarm to CCTV monitoring system. Developed algorithms are implemented at 195 dangerous areas such as chemical and gas treated room. The results of violated motion detection ratio by developed system shows 94.95% of true positive cases, and 0.21% of false positive cases from all 587,645 event cases in one month implementation period. In the period, it is observed that the number of safety rule violations and the following accidents are decreased.

Ar-Kr 혼합가스를 이용한 OLED용 Al 전극 제작 (Preparation of Al electrode with Ar-Kr gas mixture for OLED application)

  • 김상모;장경욱;이원재;김경환
    • 반도체디스플레이기술학회지
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    • 제6권4호
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    • pp.11-15
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    • 2007
  • As preparing electrode for the OLED with the sputtering process, in order to be lower damage of the bottom organic layer and increase the life-time of the OLED, we prepared Al electrode for that by using Facing Targets Sputtering (FTS) system. Al electrode directly deposited on the cell (LiF/EML/HTL/Bottom electrode). Deposition condition was the working gas (Ar, Kr and Ar+Kr) and working gas pressure (1 and 6 mTorr). The film thickness and I-V curve of Al/cell were evaluated by a $\acute{a}$-step profiler and a semiconductor parameter (HP4156A) measurement. The thin film surface image was observed by a Atomic Force Microscope (AFM). In result, in comparison with about 11 [V] of the turn-on voltage of Al/cell with using the pure Ar gas, when Al thin film was deposited using the Ar-Kr mixture gas, the surface morphology was improved in some region and the turn-on voltage of Al/cell could be decreased to about 7 [V].

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Kr가스에 의한 OLED용 Al 음전극의 표면 형상 (Surface morphology of Al cathode for OLED with Kr gas)

  • 김현웅;금민종;김경환
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2005년도 추계학술대회 논문집 Vol.18
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    • pp.283-284
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    • 2005
  • Al electrode for OLED was deposited by Facing Targets Sputtering(FTS) system which can reduce the damage of organic layer. The Al thin films were deposited on the slide glass as a function of working gas such as Ar, Kr or mixed gas. The film surface image was observed by AFM and SEM. In the results, when Al thin film were deposited using mixed gas, the surface morphology was improved in some region.

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Gas-centered swirl coaxial 분사기의 상압수류시험 (Cold flow tests of Gas-centered swirl coaxial injectors)

  • 전재형;홍문근;김종규;이수용
    • 한국추진공학회:학술대회논문집
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    • 한국추진공학회 2011년도 제36회 춘계학술대회논문집
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    • pp.16-19
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    • 2011
  • 고성능의 다단연소 사이클 액체로켓 엔진에 사용되는 Gas-centered swirl coaxial injector(GCSCI)의 분무특성에 대한 연구가 상압수류시험을 통해 이루어졌다. 시험은 물과 질소를 사용하였고, 고속카메라를 이용하여 분무형상을 측정하였고 이미지 프로세싱으로 데이터 처리에 활용하였다. 본 연구에서는 분사기의 리세스 길이와 액체노즐과 기체노즐의 간격과 같은 형상에 따른 영향과 기체와 액체의 운동량비에 따른 분무특성을 알아보았다.

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인공신경망을 통한 2D 용질성 마랑고니 유동 액적의 용질 농도 분포 역추적 기법 (Reverse tracking method for concentration distribution of solutes around 2D droplet of solutal Marangoni flow with artificial neural network)

  • 김준규;류준일;김형수
    • 한국가시화정보학회지
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    • 제19권2호
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    • pp.32-40
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    • 2021
  • Vapor-driven solutal Marangoni flow is governed by the concentration distribution of solutes on a liquid-gas interface. Typically, the flow structure is investigated by particle image velocimetry (PIV). However, to develop a theoretical model or to explain the working mechanism, the concentration distribution of solutes at the interface should be known. However, it is difficult to achieve the concentration profile theoretically and experimentally. In this paper, to find the concentration distribution of solutes around 2D droplet, the reverse tracking method with an artificial neural network based on PIV data was performed. Using the method, the concentration distribution of solutes around a 2D droplet was estimated for actual flow data from PIV experiment.

PIV와 신경망을 이용한 배관시스템 원격 미세변위 측정과 실시간 작동상태 진단 (Measurements of Remote Micro Displacements of the Piping System and a Real Time Diagnosis on Their Working States Using a PIV and a Neural Network)

  • 전민규;조경래;오정수;이창제;도덕희
    • 한국수소및신에너지학회논문집
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    • 제24권3호
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    • pp.264-274
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    • 2013
  • Piping systems play an important role in gas and oil transferring system. In the piping system, there are many elements, such as valves and flow meters. In order to check their normal operating conditions, each signal from each element is displayed on the monitor in the pipe control room. By the way, there are several accidental cases in the piping system even if all signals from the local elements are judged to be normal on the monitor in the control room. Further, opposite cases often happen even the monitor shows abnormal while the local elements work normal. To overcome this abnormal functions, it is not so easy to construct the environment in which sensors detecting the working states of all elements installed in the piping system. In this paper, a new non-contact measurement technique which can calculate the elements' delicate displacements by using a PIV(particle image velocimetry) and diagnose their working states by using a neural network is proposed. The measurement system consists of a host computer, a micro system, a telescope and a high-resolution camera. As a preliminary test, the constructed measurement system was applied to measure delicate vibrations of mobile phones. For practical application, a pneumatic system was measured by the constructed system.

가스작업자를 위한 실시간 가스안전 모니터링 앱개발 디자인 (Gas Safety Monitoring App. Development Design for Gas Workers)

  • 이주아;김미혜
    • 한국융합학회논문지
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    • 제9권10호
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    • pp.61-67
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    • 2018
  • 본 연구는 실시간 가스 안전 모니터링 앱의 개발 작업을 3년 동안 실시한 후 도출된 결과물들을 담고 있다. 가스 작업장의 사고 위험을 축소하기 위해서는 위험물질, 위험 설비 등의 위치와 안전 절차, 작업장의 온습도 등을 작업자들이 인지할 수 있도록 정보를 제공하는 것이 필수적이다. 따라서 본 연구는 메인 시스템이 이러한 정보들을 지속적으로 업데이트 하는 현장에서 작업자들이 이를 효율적으로 수신할 수 있는 모니터링 앱의 개발을 목적으로 진행되었다. 그동안의 연구에서 이루어진 사항들과 메인 시스템의 웹 화면을 기본으로 하여 도출된 앱 시나리오에 대한 정량적, 정성적 조사 및 분석결과, 사용용이성, 가독성, 직관성 면에서의 수정과 개선이 이루어졌다. 특히 사용용이성의 하위 영역인 낮은 depth에서 많은 개선을 하였다. 최종적으로 도출된 앱 시나리오에 대해 사용자 요구 부합도 조사를 한 결과 기능성, 편리성 가독성 면에서 평균 98.5점의 평가를 받았다.

가스배관망 작동상태 실시간 진단용 인공신경망 기반 모니터링 시스템 (A Monitoring System Based on an Artificial Neural Network for Real-Time Diagnosis on Operating Status of Piping System)

  • 전민규;조경래;이강기;도덕희
    • 대한기계학회논문집B
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    • 제39권2호
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    • pp.199-206
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    • 2015
  • 본 연구에서는 인공신경망을 이용하여 배관이나 배관요소의 작동상태를 예측할 수 있는 진단방법을 제안한다. 입자영상유속계 기술을 이용하여 얻어진 배관의 검사부위의 진동에 의한 이동량을 인공신경망의 학습용으로 사용한다. 측정시스템은 카메라, 조명, 인공신경망이 탑재된 호스트컴퓨터로 구성된다. 구축된 모니터링시스템이 제대로 작동하는지 이미 알고 있는 진동원(2개의 휴대폰)에 대하여 적용하였다. 진동가속도의 최소값, 최대값, 평균값을 인공신경망의 학습에 사용해 본 결과, 평균값이 진동상태의 실시간 모니터링에 적합함을 확인하였다. 구축된 진단시스템은 실제 가스배관의 작동상태에 대하여 모니터링 가능함이 확인되었다.