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  1. 1
    Parallelization Of CCSDS Hyperspectral Image Compression Using C++

    Parallelization Of CCSDS Hyperspectral Image Compression Using C++ by Tan, Lit Chez

    Published 2018
    “…Next, the parallelizable section of the algorithm is identified and coded using OpenMP. The algorithm has been parallelized by dividing the bands of the hyperspectral image into several continuous chunks and running them concurrently. …”
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    Monograph
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  2. 2
    Speech compression using compressive sensing on a multicore system

    Speech compression using compressive sensing on a multicore system by Gunawan, Teddy Surya, Khalifa, Othman Omran, Shafie, Amir Akramin, Ambikairajah, Eliathamby

    Published 2011
    “…Finally, to speed up the process, the proposed algorithm will be implemented in a multicore system, i.e. six cores, using Single Program Multiple Data (SPMD) parallel paradigm.…”
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    Proceeding Paper
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  3. 3
    Magnetic resonance imaging sense reconstruction system using FPGA / Muhammad Faisal Siddiqui

    Magnetic resonance imaging sense reconstruction system using FPGA / Muhammad Faisal Siddiqui by Muhammad Faisal , Siddiqui

    Published 2016
    “…Sensitivity Encoding (SENSE) is a widely used technique to reconstruct the artefact free images from the Parallel MRI (pMRI) aliased data. …”
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    Thesis
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  4. 4
    A new parameterized architectural design for SENSE reconstruction

    A new parameterized architectural design for SENSE reconstruction by Siddiqui, M.F., Reza, A.W., Kanesan, J., Omer, H.

    Published 2014
    “…Complex multiplier, divider and complex matrix multiplier modules are designed to implement the algorithm. Furthermore, the variable data bus widths are used in the data path of the architecture, which leads to reduce the hardware cost and silicon area. …”
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    Conference or Workshop Item
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  5. 5
    Energy Storage Reservoir Management System For Wsn With Solar Harvesting

    Energy Storage Reservoir Management System For Wsn With Solar Harvesting by Amran, Nur Amira

    Published 2016
    “…Most of the study in managing power on wireless sensor network node (WSN) is mainly on how to minimize current of the sensor node by using different types of algorithm applied to the radio transmission technique and on how to minimize power consumed by the sensing elements without affecting the accuracy of the data collected. …”
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    Thesis
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  6. 6
    Three phase induction motor coupled to DC motor in hybrid electric vehicle application

    Three phase induction motor coupled to DC motor in hybrid electric vehicle application by Zulkarnain, Lubis

    Published 2011
    “…The drive controller is implemented in hardware using Lab Instruments Drive Technology with algorithm software fixed point digital signal processor (DSP) and a high resolution current sensing board to achieve the best torque regulation at various load conditions. …”
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    Thesis
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  7. 7
    Estimation of core size distribution of magnetic nanoparticles using high-Tc SQUID magnetometer and particle swarm optimizer-based inversion technique

    Estimation of core size distribution of magnetic nanoparticles using high-Tc SQUID magnetometer and particle swarm optimizer-based inversion technique by Mohd Mawardi, Saari, Mohd Herwan, Sulaiman, Kiwa, Toshihiko

    Published 2023
    “…In this work, the core size estimation technique of magnetic nanoparticles (MNPs) using the static magnetization curve obtained from a high-Tc SQUID magnetometer and a metaheuristic inversion technique based on the Particle Swarm Optimizer (PSO) algorithm is presented. …”
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  8. 8
    High efficiency RF power amplifier with closed loop system for public safety radio communications / Lokesh Anand Vijayakumaran

    High efficiency RF power amplifier with closed loop system for public safety radio communications / Lokesh Anand Vijayakumaran by Lokesh Anand, Vijayakumaran

    Published 2019
    “…For that, a simplified design methodology of closed loop PA with DC current sensing of multistage PA (cascaded) and voltage shaping algorithm is used in this work. …”
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    Thesis
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  9. 9
    WiFi-based human activity recognition through wall using deep learning

    WiFi-based human activity recognition through wall using deep learning by Wong, Yan Chiew, Ahmed Abuhoureyah, Fahd Saad, Mohd Isira, Ahmad Sadhiqin

    Published 2023
    “…Furthermore, a deep learning algorithm based on RNN with an LSTM algorithm is used to classify the activity instances indoors, achieving up to 97.5% accuracy in classifying seven activities. …”
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