• Title/Summary/Keyword: Gas working image

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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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    • 2008.10a
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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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    • v.4 no.4
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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

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

  • Jang, Hyun Song
    • Journal of the Korea Safety Management & Science
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    • v.17 no.2
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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.

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

  • Kim, Sang-Mo;Jang, Kyung-Wook;Lee, Won-Jae;Kim, Kyung-Hwan
    • Journal of the Semiconductor & Display Technology
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    • v.6 no.4
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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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Surface morphology of Al cathode for OLED with Kr gas (Kr가스에 의한 OLED용 Al 음전극의 표면 형상)

  • Kim, Hyun-Woong;Keum, Min-Jong;Kim, Kyung-Hwan
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2005.11a
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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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Cold flow tests of Gas-centered swirl coaxial injectors (Gas-centered swirl coaxial 분사기의 상압수류시험)

  • Jeon, Jae-Hyoung;Hong, Moon-Geun;Kim, Jong-Gyu;Lee, Soo-Yong
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2011.04a
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    • pp.16-19
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    • 2011
  • An experimental study on the spray characteristics of Gas-centered swirl coaxial injectors(GCSCI) for high-performance staged combustion rocket engines has been carried out using cold flow tests. In this study, water and gaseous nitrogen are used as working fluids and a back-lit photography technique with image processing for the measurements of spray characteristics. Our study is focused on the effect of injector geometries like as gap thickness of liquid nozzle and gas nozzle and momentum flux ratio for fundamental understanding of the injectors.

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

  • Kim, Junkyu;Ryu, Junil;Kim, Hyoungsoo
    • Journal of the Korean Society of Visualization
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    • v.19 no.2
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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.

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 (PIV와 신경망을 이용한 배관시스템 원격 미세변위 측정과 실시간 작동상태 진단)

  • Jeon, Min Gyu;Cho, Gyeong Rae;Oh, Jung Soo;Lee, Chang Je;Doh, Deog Hee
    • Transactions of the Korean hydrogen and new energy society
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    • v.24 no.3
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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.

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

  • Lee, Joo ah;Kim, MI-Hye
    • Journal of the Korea Convergence Society
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    • v.9 no.10
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    • pp.61-67
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    • 2018
  • This study covers the results obtained after three years of development work of real - time gas safety monitoring app. In order to reduce the risk of accidents in the gas workplace, it is essential to provide information so that operators can recognize the location of dangerous substances, dangerous facilities, safety procedures, and the temperature and humidity of the workplace. Therefore, this study was conducted to develop a monitoring app that allows the main system to efficiently receive the information in the field where the information is continuously updated. As a result of quantitative and qualitative research and analysis on app scenarios based on the research done in the past and web screen of the main system, it was modified and improved in terms of ease of use, readability, and intuitiveness. Especially, we made many improvements at low depth, which is a sub-area of ease of use. As a result of conducting a user satisfaction survey on the finally derived app scenarios, the average score of 98.5 was obtained in terms of functionality, convenience and readability.

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

  • Jeon, Min Gyu;Cho, Gyong Rae;Lee, Kang Ki;Doh, Deog Hee
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.39 no.2
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    • pp.199-206
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    • 2015
  • In this study, a new diagnosis method which can predict the working states of a pipe or its element in realtime is proposed by using an artificial neural network. The displacement data of an inspection element of a piping system are obtained by the use of PIV (particle image velocimetry), and are used for teaching a neural network. The measurement system consists of a camera, a light source and a host computer in which the artificial neural network is installed. In order to validate the constructed monitoring system, performance test was attempted for two kinds of mobile phone of which vibration modes are known. Three values of acceleration (minimum, maximum, mean) were tested for teaching the neural network. It was verified that mean values were appropriate to be used for monitoring data. The constructed diagnosis system could monitor the operation condition of a gas pipe.