196 research outputs found

    Perbandingan Perhitungan Trafik Jam Sibuk CDMA 2000 1x Pada BTS Inner City Dan BTS Outer City Dengan Mempergunakan Metode ADPH, TCBH, FDMH Dan FDMP

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    Cellular communication system is a wireless communication system where the subscriber can move within a wide network coverage. Code Division Multiple Access (CDMA) is a multiuser access technology that is each user uses a unique code contained in the access channel in the system. Calculation and determination of peak hours can be done by several methods such as: Average Daily Peak Hour (ADPH), Time Consistent Busy Hour (TCBH), Fixed Daily Measurement Hour (FDMH), Fixed Daily Measurement Period (FDMP). The effectiveness of the channel should be determined by occupancy both at inner city territory and outer city  territory location. Using design Erlang (Erl) for supply channel at Base Transceiver Station (BTS) that provided, BTS has a design Erlang of 369,83 Erl at inner city and it has a design Erlang of 241,8 Erl at outer city. Peak hour on the inner city occurred at 12:00 to 15:00, whereas the outer city of peak hour occurred at 18:00 to 21:00. Effectiveness value that determined by operator are : <20% = low occupancy (not effective), 21% to 69% = normal occupancy (effective), and > 70% = high occupancy (very effective). In this case occupancy values obtained in each method is between 21% to 69% which means effectiv

    Monitoring and Evaluating Progress towards Universal Health Coverage in China

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    <p>Monitoring and Evaluating Progress towards Universal Health Coverage in China</p

    Population coverage by the three health insurance schemes, 2003–2011.

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    <p>Data sources: <a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001694#pmed.1001694-Ministry1" target="_blank">[4]</a>–<a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001694#pmed.1001694-Ministry2" target="_blank">[6]</a>.</p

    The performance comparison between the model with different number of slices, 4x SR on PD.

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    MSBFAN/s: MSBFAN trained/tested with s slices. Note: MSBFAN/1 equivalent MSBPN (n = 1, m = 2).</p

    Investigations of SEB, STAB and optical flow on T2 for SR 4x.

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    Investigations of SEB, STAB and optical flow on T2 for SR 4x.</p

    Overview of the proposed MSBFAN for sequence MR image SR.

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    The overall structure consists of three parts: Initial feature extraction FE(.), spatio-temporal module FSTAM(.) and reconstruction FR(.). The horizontal line is based on our MSBPN to explore the spatial information of target slice. The vertical line computes the residual features from a pair of target and neighbor slices to explore the temporal information. On each spatio-temporal attention module, the spatial information and the temporal information are connected and enhanced to recover the missing details.</p

    Quantitative comparison between the state-of-the-art SR algorithms on 3 test datasets.

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    Quantitative comparison between the state-of-the-art SR algorithms on 3 test datasets.</p

    Baseline comparison on PD for SR 4x (PSNR/SSIM).

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    Baseline comparison on PD for SR 4x (PSNR/SSIM).</p

    The testing performance of different configurations of projection units and the convolutional layers of projection unit on PD for SR 4x.

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    The testing performance of different configurations of projection units and the convolutional layers of projection unit on PD for SR 4x.</p

    The performance comparison between different configures of our MSBPN for SR 4x.

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    (a) Impact of projection units and the convolutional layers of the projection unit validated on PD. (b) Dense Connection, validated on T1. (c) Multi-scale machine, validated on T2.</p
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