Amir Nazren Abdul Rahim
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Amir Nazren Abdul Rahim
Official Name
Amir Nazren, Abdul Rahim
Alternative Name
Abdul Rahim, Nazren Amir
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Scopus Author ID
57610525700

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  • Publication
    Smart Classroom for Electricity-Saving with Integrated IoT System
    ( 2021-12-01)
    Mohd Wafi Nasrudin
    ;
    Nordin N.A.
    ;
    Ismail I.
    ;
    Jais M.I.
    ;
    Amir Nazren Abdul Rahim
    ;
    Wan Azani Wan Mustafa
    Electricity-saving can be achieved through the efficient use of energy, such as turning off lights and electrical appliances when not in use. Therefore, this work proposed the smart classroom for electricity-saving with an integrated IoT System to prevent wasting electricity in the classroom. Smart Classroom means that it will detect and count the number of students entering and exiting the classroom by using a sensor system automatically. The main objective of this work is to control the lighting systems and fans by using the IoT application and sensor system. This means that when the sensor is triggered, the sensor will send data to the Blynk application software using IoT to display the status of the classroom. This proposed work is also able to detect whether a classroom is available to use or not based on the presence of people. If the classroom is being used, the Blynk application software will show the lamp and fan are ON. Otherwise, the lamps and fans are OFF if there are no people in the classroom. The result successfully shows that if the first student entering the classroom, all the lamps and fans are ON. While, if the last student exiting the classroom, all the lamps and fans are OFF. This result also indicates that electricity can be saved if all appliances in the classroom are switch OFF at the right time.
  • Publication
    Enhancement of iterative back projection technique for super resolution image
    ( 2018)
    Amir Nazren Abdul Rahim
    This study concerns in on improvements of the Iterative Back Projection (IBP) Super Resolution reconstruction technique. This technique suffers from self produces the ringing artefacts around the strong edge of the image and consumes a large number of iterations during the estimation process. Besides that, this technique has poor performances during handling the noisy image. In order to reduce the ringing artefacts, this thesis proposes a novel approach of the IBP reconstruction by hybrid with the edge enhancement regularization. First, the regulator uses the Sharp Infinite Symmetrical Exponential Filter (SISEF) to provide an accurate and precise edge guided during back projection to High Resolution (HR) grid. This precise edge guided prevents the IBP reconstruction from dislocating the HR projection. Thus, it reduces the ringing artefacts and increases the output quality averagely up to 1.755 dB. This SISEF regulator supplies accurate additional information and helps the estimator to save 70% iterations from conventional technique in determining the HR image. Second, in order to increase the robustness of IBP reconstruction, this study proposes an improvement with implementation of the Lorentzian Sharp Infinite Symmetrical Exponential Filter (LSISEF) regulations.
  • Publication
    Feasibility study on embroidered Wi-Fi antenna performances
    ( 2021)
    Che Muhammad Nor Che Isa
    ;
    Muhammad Syukri Jaafar
    ;
    Zahari Awang Ahmad
    ;
    Amir Nazren Abdul Rahim
    Performance of a dual-band coplanar patch antenna with bending and wet condition is described in this paper. The antenna structure is made from common clothing fabrics and operates at the 2.45 and 5 GHz wireless bands. The antenna's radiating element is using Nora Dell serves as a ground plane and Felt as the substrate. The final part carries out the simulation on forward, backward bending, and also the wet condition in CST software. The comparison of two bending conditions is discussed in this report.