• Title/Summary/Keyword: OpenLDI

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OpenLDI Receiver Circuit for Flat-Panel Display Systems (평판 디스플레이 시스템을 위한 OpenLDI 수신기 회로)

  • Han, Pyung-Su;Choi, Woo-Young
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.45 no.2
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    • pp.34-43
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    • 2008
  • An OpenLDI receiver circuit for flat-panel display systems was designed and fabricated using $1.8-{\mu}m$ high-voltage CMOS technology. Designed circuit roughly consists of DLL circuit and parallelizers, which recovers clock and parallelize data bits, respectably. It has one clock input and four data inputs. Measurement results showed that it successfully recovers clock signal from input whose frequency is $10Mhz{\sim}65Mhz$, which corresponds data rate of $70Mbps{\sim}455Mbps$ per channel, or $280Mbps{\sim}1.82Gbps$ when all of the four data channels were utilized. A commercial LCD monitor was modified into a test-bench and used for video data transmission at clock frequency of 49Mhz. In the experiment, power consumption was 19mW for core block and 82.5mW for output buffer.

A Study on the GIS for The Sea Environmental Management I - Focus on the Study of A Interpolation on The Application of LDI Algorism - (GIS를 활용한 해양환경관리에 관한 연구 I - LDI 알고리즘 적용을 위한 보간법에 관한 연구 -)

  • Lee, Hyoung Min;Park, GI Hark
    • Journal of Environmental Impact Assessment
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    • v.15 no.6
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    • pp.443-452
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    • 2006
  • Today, satellite remote sensing (RS) and geographic information systems (GIS) plays an important role as an advanced science and technology. This study was developed a Line Density Algorithm which was clarify and describe the thermal front by using NOAA SST (sea surface temperature) and GIS spatial analysis for systemic and effective management of fish raising industry and sea environmental pollution by land reclamation program. Before this, a study about a interpolation method was carry out which was very important for estimate the hidden value between a special point. For this study Inverse Distance Weighted interpolation, Spline interpolation, Kriging interpolation methods were choose and SST data from 2001 to 2004 in spring (March, April, May) were analyzed. According to the study Kriging interpolation method was the very adaptive method from a practical point of view and excellent in description and precision then others. Finally, the result of this study will be use for develope the Line Density Index Algorism.