• Title/Summary/Keyword: N recovery

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A Study on the Calculation of ConstrucitIon Costs and Their Annual Equivalent Recovery at PECT and GCT (컨테이너부두의 건설원가 및 연간투자비 회수액 산정에 관한 연구)

  • 이태우;임종길
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 1999.10a
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    • pp.11-18
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    • 1999
  • Major factors that are considered to determine lease charges of container terminals are, among others, construction cost of berth, discount rate, financing cost, and size of annual equivalent recovery. This paper aims to calculate construction costs at PECT and GCT and their annual equivalent recovery on the basis of historical data, and to identify whether or not relationship of the above result and current lease charges at the two terminals are justifiable.

A NEW SOFT RECOVERY DRIVE FOR CONTINUOUS CONDUCT10N MODE (연속전류모드를 위한 새로운 순회복 게이트 드라이브)

  • Kim, Hack-S.;Jung, Yong-C.;Cho, Gyu-H.
    • Proceedings of the KIEE Conference
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    • 1993.07b
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    • pp.806-808
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    • 1993
  • New soft recovery drive which can alleviate the loss due to reverse recovery of diode is proposed. By using this drive, the reverse current of the diode is minimized and stabilized because there is inner local feedback loop between the turn-on current of the power MOSFET and the reverse recovery current of the diode. The loss and EMI noise can be considerably reduced in this way. Brief operational principle and experimental results are included to verify the usefulness.

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Non-Iterative Threshold based Recovery Algorithm (NITRA) for Compressively Sensed Images and Videos

  • Poovathy, J. Florence Gnana;Radha, S.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.10
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    • pp.4160-4176
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    • 2015
  • Data compression like image and video compression has come a long way since the introduction of Compressive Sensing (CS) which compresses sparse signals such as images, videos etc. to very few samples i.e. M < N measurements. At the receiver end, a robust and efficient recovery algorithm estimates the original image or video. Many prominent algorithms solve least squares problem (LSP) iteratively in order to reconstruct the signal hence consuming more processing time. In this paper non-iterative threshold based recovery algorithm (NITRA) is proposed for the recovery of images and videos without solving LSP, claiming reduced complexity and better reconstruction quality. The elapsed time for images and videos using NITRA is in ㎲ range which is 100 times less than other existing algorithms. The peak signal to noise ratio (PSNR) is above 30 dB, structural similarity (SSIM) and structural content (SC) are of 99%.