Search Results - parallel communication flow algorithm

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  1. 1
    FPGA Implementation of Multi-User Detection Genetic Algorithm Tool for SDMA-OFDM Systems

    FPGA Implementation of Multi-User Detection Genetic Algorithm Tool for SDMA-OFDM Systems by Alansi, M., Elshafiey, I., Al-Sanie, A., Mabrouk, A.

    Published 2016
    “…The data flow in GASOS is appropriate in pipelining and parallelization to reduce operational time. …”
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  2. 2
    Optical tomography system using digital signal processor: Velocity profile measurement

    Optical tomography system using digital signal processor: Velocity profile measurement by Ruzairi, Abdul Rahim, Chiam, Kok Thiam, Mohd Hafiz, Fazalul Rahiman, Yvette-Shan Li, Susiapan, Jayasuman, P.

    Published 2010
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  3. 3
    Dynamic communication performance of a horizontal midimew connected mesh network

    Dynamic communication performance of a horizontal midimew connected mesh network by Yahya Hag, Ala Ahmed, Rahman, M.M. Hafizur, Mohd. Nor, Rizal, Tengku Sembok, Tengku Mohd

    Published 2016
    “…Accordingly, the evaluation of dynamic communication performance has been conducted in this paper, using a deadlock- free routing algorithm with 4 virtual channels. …”
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    An optimum value of dynamic communication performance for midimew connected mesh network

    An optimum value of dynamic communication performance for midimew connected mesh network by Yahya Hag, Ala Ahmed, Rahman, M.M. Hafizur, Mohd. Nor, Rizal, Tengku Sembok, Tengku Mohd

    Published 2016
    “…In this study, we have evaluated a dynamic communication performance of a variety of MMN using the TOPAZ simulator using a deadlock free routing algorithm with uniform traffic patterns, whereby the dimension order routing and virtual cut-through flow control are used. …”
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    Investigating computational thinking among primary school students in Terengganu using visual programming

    Investigating computational thinking among primary school students in Terengganu using visual programming by Osmanullrazi, Abdullah

    Published 2022
    “…Quantitative approach was used to measure student’s CT skills of Flow Control, Abstraction, Parallelism, Decomposition, Synchronization, User Interactivity and Logic from their computational artifacts. …”
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