• Title/Summary/Keyword: Multi-level signalling

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A Cost-effective 60Hz FHD LCD Using 800Mbps AiPi Technology

  • Nam, Hyoung-Sik;Oh, Kwan-Young;Kim, Seon-Ki;Kim, Nam-Deog;Kim, Sang-Soo
    • Journal of Information Display
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    • v.10 no.1
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    • pp.37-44
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    • 2009
  • AiPi technology incorporates an embedded clock and control scheme with a point-to-point bus topology, thereby having the smallest possible number of interface lines between a timing controller and column drivers. A point-to-point architecture boosts the data rate and reduces the number of interface lines, because impedance matching can be easily achieved. An embedded clock and control scheme is implemented by means of multi-level signalling, which results in a simple clock/data recovery circuitry. A 46" AiPi-based 10-bit FHD prototype requires only 20 interface lines, compared to 38 lines for mini-LVDS. The measured maximum data rate per data pair is more than 800 Mbps.

A Study of SIL Allocation with a Multi-Phase Fuzzy Risk Graph Model (다단계 퍼지 리스크 그래프 모델을 적용한 SIL 할당에 관한 연구)

  • Yang, Heekap;Lee, Jongwoo
    • Journal of the Korean Society for Railway
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    • v.19 no.2
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    • pp.170-186
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    • 2016
  • This paper introduces a multi-phase fuzzy risk graph model, representing a method for determining for SIL values for railway industry systems. The purpose of this paper is to compensate for the shortcomings of qualitative determination, which are associated with input value ambiguity and the subjectivity problem of expert judgement. The multi-phase fuzzy risk graph model has two phases. The first involves the determination of the conventional risk graph input values of the consequence, exposure, avoidance and demand rates using fuzzy theory. For the first step of fuzzification this paper proposes detailed input parameters. The fuzzy inference and the defuzzification results from the first step will be utilized as input parameters for the second step of the fuzzy model. The second step is to determine the safety integrity level and tolerable hazard rate corresponding to be identified hazard in the railway industry. To validate the results of the proposed the multi-phase fuzzy risk graph, it is compared with the results of a safety analysis of a level crossing system in the CENELEC SC 9XA WG A0 report. This model will be adapted for determining safety requirements at the early concept design stages in the railway business.